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Biology, Geography & Health: Chapter 6164


Chapter 6164 provides bibliographic information on scholary research in the basic and applied life, earth and health sciences.


Tonkyn D.W., 1986: Predator mediated mutualism theory and tests in the homoptera

Bradshaw W.E.; Holzapfel C.M., 1983: Predator mediated nonequilibrium coexistence of tree hole mosquitoes in southeastern north america

Magurran A.E.; Girling S.L., 1986: Predator model recognition and response habituation in shoaling minnows

Gilbert, J. J.; Williamson, C. E., 1978: Predator prey behavior and its effect on rotifer survival in associations of mesocyclops edax asplanchna girodi polyarthra vulgaris and keratella cochlearis

Sullivan, J. F.; Atchison, G. J., 1978: Predator prey behavior of fathead minnows pimephales promelas and largemouth bass micropterus salmoides in a model ecosystem

Gurney, W. S. C.; Nisbet, R. M., 1978: Predator prey fluctuations in patchy environments


Tsuchiya, H. M.; Drake, J. F.; Jost, J. L.; Fredrickson, A. G., 1972: Predator prey inter actions of dictyostelium discoideum and escherichia coli in continuous culture

Kozlowski J.; Sedziwy S.; Ziolko M., 1979: Predator prey interaction and the evolution of flock size

Schmid P.H.; Schaerer R., 1981: Predator prey interaction between 2 competing sea star species of the genus astropecten

Savino J.F.; Stein R.A., 1982: Predator prey interaction between largemouth bass micropterus salmoides and bluegills lepomis macrochirus as influenced by simulated submersed vegetation

Petranka J.W.; Kats L.B.; Sih A., 1987: Predator prey interactions among fish and larval amphibians use of chemical cues to detect predatory fish

Woodward B.D., 1983: Predator prey interactions and breeding pond use of temporary pond species in a desert anuran community

Williamson C.E., 1987: Predator-prey interactions between omnivorous diaptomid copepods and rotifers: The role of prey morphology and behavior

Montevecchi W.A., 1979: Predator prey interactions between ravens and kittiwakes

Peckarsky B.L., 1980: Predator prey interactions between stone flies and mayflies behavioral observations

King K.R.; Hollibaugh J.T.; Azam F., 1980: Predator prey interactions between the larvacean oikopleura dioica and bacterio plankton to enclosed water columns

Thompson R.W.; Dibiasio D.; Mendes C., 1982: Predator prey interactions egg eating predators

Major, P. F., 1978: Predator prey interactions in 2 schooling fishes caranx ignobilis and stolephorus purpureus

Feltmate B.W., 1987: Predator prey interactions in a stream a combined field and laboratory study of paragnetina media plecoptera and hydropsyche sparna trichoptera

Major, P. F., 1977: Predator prey interactions in schooling fishes during periods of twilight a study of the silverside pranesus insularum in hawaii usa

Windsor, D.; Emlen, S. T., 1975: Predator prey interactions of adult and pre fledgling bank swallows and american kestrels

Woltering, D. M.; Hedtke, J. L.; Weber, L. J., 1978: Predator prey interactions of fishes under the influence of ammonia

Bazykin A.D., 1981: Predator prey model with saturation of predator predators competing for prey and competing preys

Barclay, H.; Van-Den-Driessche, P., 1977: Predator prey models with added mortality

Yorke, J. A.; Anderson, W. N. Jr, 1973: Predator prey patterns

Pimentel D.; Burgess M.N., 1981: Predator prey population stability in an experimental microcosm

Filonov, C., 1980: Predator prey problems in nature reserves of the european part of the russian sfsr ussr

Jeffries M.J.; Lawton J.H., 1985: Predator prey ratios in communities of freshwater invertebrates the role of enemy free space

Stenson J.A.E., 1979: Predator prey relations between fish and invertebrate prey in some forest lakes

Von-Westernagen, H.; Rosenthal, H., 1976: Predator prey relationship between pacific herring clupea harengus pallasi larvae and a predatory hyperiid amphipod hyperoche medusarum

Rogers, P. M., 1978: Predator prey relationship between rabbit and lynx in southern spain

Pourriot, R., 1975: Predator prey relationships adaptive reactions and fluctuations of zoo plankton populations under the influence of selective predation

Caldwell J.P.; Thorp J.H.; Jervey T.O., 1980: Predator prey relationships among larval dragonflies anax junius salamanders ambystoma talpoideum and frogs hyla gratiosa

Eriksson M.O.G.; Henrikson L.; Oscarson H.G., 1980: Predator prey relationships among water mites piona carnea hydracarina and other fresh water organisms

Seed R., 1980: Predator prey relationships between the mud crab panopeus herbstii the blue crab callinectes sapidus and the atlantic ribbed mussel geukensia demissa

Pollock D.E., 1979: Predator prey relationships between the rock lobster jasus lalandii and the mussel aulacomya ater at robben island south africa on the cape west coast of africa

Saleem M., 1983: Predator prey relationships egg eating predators

English K.K., 1983: Predator prey relationships for juvenile chinook salmon oncorhynchus tshawytscha feeding on zoo plankton in in situ enclosures

Fulton R.S.IIi, 1985: Predator prey relationships in an estuarine littoral copepod community

Smith, B. D., 1974: Predator prey relationships in southeastern ozarks a.d. 1300

Saleem M., 1984: Predator prey relationships indiscriminate predation

Fernando M.H.J.P.; Hassell M.P., 1980: Predator prey responses in an acarine system

Nudds T.D.; Bowlby J.N., 1984: Predator prey size relationships in north american dabbling ducks

Freedman H.I.; Wolkowicz G.S.K., 1986: Predator prey systems with group defense the paradox of enrichment revisited

Rabbinge R., 1979: Predator prey systems with mites

Gillett J.W.; Russell L.K.; Gile J.D., 1983: Predator prey vole cricket interactions effects of wood preservatives

Smiley, J. T.; Rank, N. E., 1986: Predator protection vs. rapid growth in a montane leaf beetle

Mccallum H.I., 1987: Predator regulation of acanthaster planci

Harris J.W.E.; Dawson A.F., 1979: Predator release program for balsam woolly aphid adelges piceae homoptera adelgidae in british columbia canada 1960 1969

Marten G.G., 1979: Predator removal effect on fisheries yields in lake victoria east africa

Hayes, W. A. Ii, 1977: Predator response postures of crayfish part 1 the genus procambarus decapoda cambaridae

Bobisud L.E.; Voxman W.L., 1979: Predator response to variation of prey density in a patchy environment a model

Goss-Custard, J. D., 1977: Predator responses and prey mortality in redshank tringa totanus and a preferred prey corophium volutator

Milinski M.; Loewenstein C., 1980: Predator selection against abnormalities of movement test of an hypothesis

Holling, C. S.; Dunbrack, R. L.; Dill, L. M., 1976: Predator size and prey size presumed relationship in the mantid hierodula coarctata

Hansen M.J.; Gloss S.P., 1986: Predator species richness and prey population variability effects of diets of benthic stream fishes

Suresh Kumar N.; Ananthakrishnan T.N., 1984: Predator thrips interactions with reference to orius maxidentex and carayonocoris indicus anthocoridae heteroptera

Degaspari N.; Macedo N.; Botelho P.S.M.; Araujo J.R.D.; Almeida L.C.D., 1987: Predators and egg parasites of diatraea saccharalis on sugarcane

Ghosh D.; Debnath N.; Chakrabarti S., 1985: Predators and parasites of aphids homoptera aphididae from northwest himalaya ten species of syrphids diptera syrphidae from garhwal range

Hildrew A.G.; Townsend C.R., 1982: Predators and prey in a patchy environment a fresh water study

Boucias D.G.; Abbas M.S.T.; Rathbone L.; Hostettler N., 1987: Predators as potential dispersal agents of the nuclear polyhedrosis virus of anticarsia gemmatalis lepidoptera noctuidae in soybean

Dorogoi I.V., 1983: Predators myophages and their influence on populations of tundra lemmings in the phase of increase of their numbers

Cherry, R. H.; Armbrust, E. J., 1977: Predators of bathyplectes curculionis hymenoptera ichneumonidae a parasite of hypera postica coleoptera curculionidae

Cherry R.; Dowell R.V., 1979: Predators of citrus blackfly aleurocanthus woglumi homoptera aleyrodidae

Douglass, J. F.; Winegarner, C. E., 1977: Predators of eggs and young of the gopher tortoise gopherus polyphemus reptilia testudines testudinidae in southern florida

Buzas M.A.; Carle K.J., 1979: Predators of foraminifera in the indian river florida usa

Bel'skaya E.A.; Sharov A.A.; Izhevskii S.S., 1985: Predators of hyphantria cunea in the south of the european part of the ussr

Baker G.H., 1985: Predators of ommatoiulus moreletti diplopoda iulidae in portugal and australia

Dowd P.F.; Kok L.T., 1981: Predators of rhinocyllus conicus coleoptera curculionidae in virginia usa

Ozawa T., 1981: Predators of suchium moniliferum gastropoda trochidae with emphasis on the predation by portunid crabs

Van Den Berg M.A.; Deacon V.E.; Fourie C.J.; Anderson S.H., 1987: Predators of the citrus psylla trioza erytreae hemiptera triozidae in the lowveld and rustenburg areas of transvaal south africa

Mcdaniel S.G.; Sterling W.L.; Dean D.A., 1981: Predators of tobacco budworm heliothis virescens larvae in texas usa cotton

Buschman, L. L.; Whitcomb, W. H.; Hemenway, R. C.; Mays, D. L.; Ru, N.; Leppla, N. C.; Smittle, B. J., 1977: Predators of velvetbean caterpillar eggs in florida usa soybeans

Norden B.B.; Scarbrough A.G., 1982: Predators parasites and associates of anthophora abrupta hymenoptera anthophoridae

Earle R.A., 1985: Predators parasites and symbionts of the south african cliff swallow hirundo spilodera aves hirundinidae

Knoppien P.; Reddingius J., 1985: Predators with 2 modes of searching a mathematical model

Eklu Natey D.T.; Wuest J.; Salamida C.; Huggel H., 1984: Predatory activity of a rhabdocoelid turbellarian of the genus macrostomum with regard to commercially bred water snails

Consoli R.A.G.B.; Guimaraes C.T.; Souza C.P.D.; Santos B.D.S., 1984: Predatory activity of helobdella triserialis lineata hirudinea glossiphonidae on immature forms of aedes fluviatilis and culex quinquefasciatus diptera culicidae in the laboratory

Ito, Y., 1977: Predatory activity of mesostigmatid mites acarina mesostigmata for house fly eggs and larvae under feeding nematodes

Walker, J. T.; Turnipseed, S. G., 1976: Predatory activity reproductive potential and longevity of geocoris spp treated with insecticides

Ebert P.D.; Green Y.V., 1984: Predatory aggression in lines of wild mice selected for inter female aggression

Weeks L.; Hespenheide H.A., 1985: Predatory and mating behavior of stichopogon diptera asilidae in arizona usa

Rondelaud D., 1979: Predatory animal species of lymnaea truncatula in its submerged habitats in haute vienne west central france experimental study of their predation

Mussett K.S.; Young J.H.; Price R.G.; Morrison R.D., 1979: Predatory arthropods and their relationship to fleahoppers on heliothis resistant cotton varieties in southwestern oklahoma usa

Richman D.B.; Buren W.F.; Whitcomb W.H., 1983: Predatory arthropods attacking the eggs of diaprepes abbreviatus coleoptera curculionidae in puerto rico and florida usa

Smith, J. W.; Stadelbacher, E. A., 1978: Predatory arthropods seasonal rise and decline of populations in cotton fields in the mississippi delta usa

Bandler R., 1979: Predatory attack behavior in the cat elicited by preoptic region stimulation a comparison with behavior elicited by hypothalamic and mid brain stimulation

Fonberg E.; Serduchenko V.M., 1980: Predatory behavior after hypothalamic lesions in cats

Nishida T.; Uehara S.; Nyundo R., 1979: Predatory behavior among wild chimpanzees of the mahale mountains

Winemiller K.O.; Taylor D.H., 1987: Predatory behavior and competition among laboratory housed largemouth and smallmouth bass

Johki Y.; Hidaka T., 1982: Predatory behavior and learning in the lacertid lizard takydromus tachydromoides toward unpalatable prey insects

Yoshida M., 1986: Predatory behavior and predation frequency of orb web spiders metleucauge kompirensis tetragnatha praedonia leucauge magnifica intruding into a web of nephila clavata made above a mountain stream

Scarbrough A.G.; Sraver B.E., 1979: Predatory behavior and prey of atomosia puella diptera asilidae

Scarbrough A.G., 1979: Predatory behavior and prey of diogmites missouriensis in arkansas usa diptera asilidae

Caro T.M., 1981: Predatory behavior and social play in kittens

Jolly A.; Oliver W.L.R., 1985: Predatory behavior in captive lemur spp

Caro T.M., 1980: Predatory behavior in domestic cat mothers

Schweitzer D.F., 1979: Predatory behavior in lithophane querquera and other spring caterpillars

Dejean A.; Bashingwa E.P., 1985: Predatory behavior in odontomachus troglodytes formicidae ponerinae

Bandler, R. J., 1977: Predatory behavior in the cat elicited by lower brain stem and hypothalamic stimulation a comparison

Eberhard W.G., 1982: Predatory behavior of an assassin spider chorizopes sp araneidae and the defensive behavior of its prey

Bernard, J. M.; Blancheteau, M., 1987: Predatory behavior of an earwig iii. sequential analysis of unsuccessful attacks

Bilgrami A.L.; Ahmad I.; Jairajpuri M.S., 1984: Predatory behavior of aquatides thornei nygolaimina nematoda

Hong H K., 1982: Predatory behavior of culex halifaxii on other associated species of mosquitoes

Veenendaal R.L.; Piek T., 1988: Predatory behavior of discoelius zonalis hymenoptera eumenidae

Rangeley R.W.; Thomas M.L.H., 1987: Predatory behavior of juvenile shore crab carcinus maenas

Holomuzki J.R., 1983: Predatory behavior of larval ambystoma tigrinum nebulosum on limnephilus trichoptera larvae

Prakash, R. N.; Ponniah, A. G., 1978: Predatory behavior of lutzia on culex fatigans

Azmi, M. I., 1983: Predatory behavior of nematodes 1. biological control of helicotylenchus dihystera through the predaceous nematodes iotonchus monhystera

Richter M.A.R.; Jeanne R.L., 1985: Predatory behavior of polybia sericea a tropical social wasp hymenoptera vespidae

Shelly T.E.; Pearson D.L., 1980: Predatory behavior of proctacanthella leucopogon diptera asilidae prey recognition and prey records

Rylov A.L.; Serova O.N., 1984: Predatory behavior of rats following tongue deafferentation

Haridass E.T.; Morrison M.N.; Balu A., 1988: Predatory behavior of rhinocoris marginatus fabricius harpactorinae reduviidae heteroptera insecta

Steiner, A. L., 1983: Predatory behavior of solitary wasps 5. stinging of caterpillars by euodynerus foraminatus hymenoptera eumenidae

Gilbert C.; Rayor L.S., 1985: Predatory behavior of spitting spiders araneae scytodidae and the evolution of prey wrapping

Nicol S.; O'dor R.K., 1985: Predatory behavior of squid illex illecebrosus feeding on surface swarms of euphausiids

Yoshida M., 1987: Predatory behavior of tetragnatha praedonia araneae tetragnathidae

Joly, P., 1981: Predatory behavior of the alpine newt triturus alpestris 1. observational study

Frazier J.L.; Nebeker T.E.; Mizell R.F.; Calvert W.H., 1981: Predatory behavior of the clerid beetle thanasimus dubius coleoptera cleridae on the southern pine beetle dendroctonus frontalis coleoptera scolytidae

Jackson R.R., 1979: Predatory behavior of the social spider mallos gregalis is it cooperative

Coville, R. E., 1976: Predatory behavior of the spider wasp chalybion californicum hymenoptera sphecidae

Tricas T.C.; Mccosker J.E., 1984: Predatory behavior of the white shark carcharodon carcharias with notes on its biology

Ovaska K.; Smith M.A., 1988: Predatory behavior of two species of ground beetles coleoptera carabidae towards juvenile salamanders plethodon vehiculum

Hausfater, G., 1976: Predatory behavior of yellow baboons

Smith, S. M., 1978: Predatory behavior of young great kiskadees pitangus sulphuratus

Smith, S. M., 1976: Predatory behavior of young turquoise browed motmots eumomota superciliosa

Pererva V.I.; Gusakov E.S.; Ostapenko V.A., 1987: Predatory birds in northern kamchatka oblast the penzhina river basin russian sfsr ussr

Olsson B.O., 1985: Predatory birds threatened in several ways but measures are being undertaken to preserve them

Chatterton B.D.E.; Whitehead H.L., 1987: Predatory borings in the inarticulate brachiopod artiotreta from the silurian of oklahoma usa

Koldenkova L.; Garcia Avila I.; Garces Fonseca J.; Gonzalez Broche R., 1988: Predatory capacity of larvivorous fish poecilia reticulata peters 1895 cyprinodontiformes poecillidae in a natural breeding place of the mosquito culex quinquefasciatus say 1823

Garces Fonseca J.F.; Gonzalez Broche R.; Koldenkova L., 1988: Predatory capacity of poecilia reticulata peters 1895 cyprinodontiformes poecillidae on larvae of culex quinquefasciatus say 1823 and aedes aegypti linneo 1762 diptera culicidae under laboratory conditions in cuba

Jackman R.; Nowicki S.; Aneshansley D.J.; Eisner T., 1983: Predatory capture of toads scaphiopus multiplicatus by fly larvae tabanus punctifer

Numazawa K I.; Kobayashi S., 1985: Predatory characteristics of microvelia reticulata hemiptera veliidae and its seasonal prevalence in paddy fields

Davis C.S., 1984: Predatory control of copepod seasonal cycles on georges bank usa

Kerfoot W.C.; Peterson C., 1980: Predatory copepods and bosmina replacement cycles and further influences of predation upon prey reproduction

Zagrodzka J.; Fonberg E.; Brudnias Graczyk Z., 1985: Predatory dominance and aggressive display under imipramine treatment in cats

Rasmy, A. H., 1977: Predatory efficiency and biology of the predatory mite amblyseius gossipi acarina phytoseiidae as affected by plant surfaces

Landry, M. R., 1978: Predatory feeding behavior of a marine copepod labidocera trispinosa

Fulton R.S.IIi, 1982: Predatory feeding of 2 marine mysids

Fulton R.S.IIi; Wear R.G., 1985: Predatory feeding of the hydromedusae obelia geniculata and phialella quadrata

Bishai R.M., 1979: Predatory fish in manzalah fish farm egypt

Sychevskaya V.I., 1981: Predatory fly paraprosalpia silvestris diptera anthomyiidae and its prey

Mekhtieva, N. A., 1978: Predatory fungus found in the azerbaijan ssr ussr kafiaddinia fusarispora new genus new species

Rakauskas R.P.; Spun'gis V.V., 1980: Predatory gall midges aphidoletes aphidimyza new record and monobremia subterranea new record in fruit tree aphid colonies in the lithuanian ssr ussr in 1975 1978

Taylor J.D.; Cleevely R.J.; Morris N.J., 1983: Predatory gastropods and their activities in the blackdown greensand albian of england uk

Fancett M.S.; Jenkins G.P., 1988: Predatory impact of scyphomedusae on ichthyoplankton and other zooplankton in port phillip bay victoria australia

Cockfield S.D.; Potter D.A., 1984: Predatory insects and spiders from suburban lawns in lexington kentucky usa

Nikolaeva N.V., 1979: Predatory insects of larvae of blood sucking mosquitoes of the south yamal ussr

Bonner W.N.; Hunter S., 1982: Predatory interactions between antarctic fur seals arctocephalus gazella macaroni penguins eudyptes chrysolophus and giant petrels macronectes spp

Lucas J.R.; Brockamnn H.J., 1981: Predatory interactions between ants and ant lions hymenoptera formicidae and neuroptera myrmeleontidae

Karg W., 1981: Predatory mite genus cheiroseius

Hansen E.W.; Johnsen S., 1986: Predatory mites of the family phytoseiidae in denmark acarina gamasina

Winiszewska Slipinska G.; Skwiercz A., 1987: Predatory nematodes nematoda mononchoidea of peat soils in poland

Suarez S.D.; Gallup G.G.Jr, 1981: Predatory overtones of open field testing in chickens

Rassoulzadegan F.; Sheldon R.W., 1986: Predatory prey interactions of nannozooplankton and bacteria in an oligotrophic marine environment

Guerrero R.; Pedros Alio C.; Esteve I.; Mas J.; Chase D.; Margulis L., 1986: Predatory prokaryotes predation and primary consumption evolved in bacteria

Phelan, F. J. S.; Robertson, R. J., 1978: Predatory responses of a raptor guild to changes in prey density

Pasquet A., 1984: Predatory site selection and adaptation of the trap in 4 species of orb weaving spiders

Balarin I., 1980: Predatory species of bugs heteroptera occurring in cultivated fields and natural meadows

Cloarec A., 1982: Predatory success in the water stick insect ranatria linearis the role of visual and mechanical stimulation after molting

Gidayatov D.A.; Drapolyuk I.S.; Atakishieva A.M., 1980: Predatory true bugs anthocoridae heteroptera from the azerbaijan ssr ussr

Jackson R.R.; Hallas S.E.A., 1986: Predatory versatility and intraspecific interactions of spartaeine jumping spiders araneae salticidae brettus adonis brettus cingulatus cyrbra algerina and phaeacius sp indet

Zagrodzka, J.; Fonberg, E., 1978: Predatory vs alimentary behavior after amygdala lesions in cats

Nasarova S.; Baratov S.B., 1981: Predatory wasps hymenoptera sphecidae vespidae in the fauna of the tadzhik ssr ussr and their role in regulation of horse flies

Kojima H.; Tsuchiya S.; Sekiguchi K.; Gelinas R.; Hakomori S I., 1987: Predefined gene transfer for expression of a glycosphingolipid antigen by transfection with a cosmid genomic library prepared from a cell line in which the specific glycosphingolipid is highly expressed

Karjalainen, S.; Soderling, E.; Kuutti-Savolainen, E. R., 1979: Predentinal collagen and pulpal prolyl hydroxylase ec 1.14.11.2 of intact and carious human teeth

Toy P.T.C.Y.; Strauss R.G.; Stehling L.C.; Sears R.; Price T.H.; Rossi E.C.; Collins M.L.; Crowley J.P.; Eisenstaedt R.S.; Et Al, 1987: Predeposited autologous blood for elective surgery a national multicenter study

Nomura A.; Heilbrun L.K.; Stemmermann G.N.; Judd H.L., 1988: Prediagnostic serum hormones and the risk of prostate cancer

Fischer G.G.; Anderson D.C.; Farber R.; Lebow S., 1985: Predication of carotid disease by ultrasound and digital subtraction angiography

Bruining G.J.; Molenaar J.L.; De Jongh B.M.; Aarsen R.S.R.; Visser H.K.A., 1985: Predication of type 1 diabetes mellitus a report on 3 cases

Rosellini R.A.; Warren D.A.; Decola J.P., 1987: Predictability and controllability differential effects upon contextual fear

Rypins E.B.; Mason G.R.; Conroy R.M.; Sarfeh J.J., 1984: Predictability and maintenance of portal flow patterns after small diameter portacaval h grafts in man

Ragin A.B.; Oltmanns T.F., 1983: Predictability as an index of impaired verbal communication in schizophrenic and affective disorders

Chernovetz M.E.; Jones W.H.; Hansson R.O., 1979: Predictability attentional focus sex role orientation and menstrual related stress

Mcdermott M.P.; Erb H.N.; Natzke R.P., 1982: Predictability by somatic cell counts related to prevalence of intra mammary infection within herds

Berglund J.; Lins L E.; Lins P E., 1984: Predictability in diabetic nephropathy

Volpe M.; Trimarco B.; Ricciardelli B.; Cuocolo A.; Veniero A.M.; De Luca N.; Condorelli M., 1983: Predictability of anti hypertensive efficacy of selective beta 1 blockers

Chaney R.H.; Arndt S., 1983: Predictability of blood pressure response to isometric stress

Kenaga E.E., 1982: Predictability of chronic toxicity from acute toxicity of chemicals in fish and aquatic invertebrates

Arias F., 1987: Predictability of complications associated with prolongation of pregnancy

Gordon T.; Kannel W.B.; Halperin M., 1979: Predictability of coronary heart disease

Mehta S.C.; Poonia S.R.; Pal R., 1982: Predictability of diffuse double layer equation for calcium sodium and magnesium sodium exchange equilibria in soils with different organic matter contents

Pecora, D. V., 1969: Predictability of effects of abdominal and thoracic surgery upon pulmonary function human

Gaudreault P.; Parent M.; Mcguigan M.A.; Chicoine L.; Lovejoy F.H.Jr, 1983: Predictability of esophageal injury from signs and symptoms a study of caustic ingestion in 378 children

Carlstead K., 1986: Predictability of feeding its effect on agonistic behavior and growth in grower pigs

Didolkar S.M.; Sampson M.B.; Johnson W.L.; Petersen L.P., 1979: Predictability of gestational hypertension

Kiesewetter H.; Jung F.; Ladwig K.H.; Waterloh E.; Roebruck P.; Schneider R.; Kotitschke G.; Bach R., 1986: Predictability of hemorheological parameters with respect to the incidence of vascular disease concept of the aachen study

Jaffe E.S.; Strauchen J.A.; Berard C.W., 1982: Predictability of immunologic phenotype by morphologic criteria in diffuse aggressive non hodgkins lymphomas

Frizzera G.; Gajl Peczalska K.J.; Bloomfield C.D.; Kersey J.H., 1979: Predictability of immunologic phenotype of malignant lymphomas by conventional morphology a study of 60 cases

Fahrenberg J.; Foerster F.; Schneider H J.; Mueller W.; Myrtek M., 1986: Predictability of individual differences in activation processes in a field setting based on laboratory measures

Van Sickels J.E.; Larsen A.J.; Triplett R.G., 1986: Predictability of maxillary surgery a comparison of internal and external reference marks

Nahata M.C.; Cummins B.A.; Mcleod D.C.; Butler R., 1981: Predictability of methenamine efficacy based on type of urinary pathogen and ph

Strauss R.H.; Stevenson L.W.; Dadourian B.A.; Child J.S., 1987: Predictability of mitral regurgitation detected by doppler echocardiography in patients referred for cardiac transplantation

Siber G.R.; Smith A.L.; Levin M.J., 1979: Predictability of peak serum gentamicin concentration with dosage based on body surface area

Farrer, L. A.; Conneally, M., 1987: Predictability of phenotype in huntington's disease

Vozeh S.; Koelz A.; Martin E.; Magun H.; Scollo Lavizzari G.; Follath F., 1980: Predictability of phenytoin serum levels by nomograms and clinicians

Racle J.P.; Jourdren L.; Benkhadra A.; Poy J.Y.; Fockenier F., 1988: Predictability of plain bupivacaine spinal anesthesia a comparison with two hyperbaric bupivacaine solutions

Guzick D.S.; Daikoku N.H.; Kaltreider D.F., 1984: Predictability of pregnancy outcome in preterm delivery

Satiani B.; Stone H.H., 1979: Predictability of present outcome and future recurrence in acute pancreatitis

Jansen J.; Pilot T., 1981: Predictability of probing depths in ligature induced periodontal defects in beagle dogs

Arima M.; Takahara S.; Ihara H.; Ichikawa Y.; Ishibashi M.; Sagawa S.; Nagano S.; Takaha M.; Sonoda T., 1982: Predictability of renal allo graft prognosis during rejection crisis by ultrasonic doppler flow technique

Mann B.D.; Storm F.K.; Morton D.L.; Bertelsen C.A.; Korn E.L.; Kaiser L.R.; Kern D.H., 1983: Predictability of response to clinical thermo chemo therapy by the clonogenic assay

Shay C.E.; Foster P.G.; Neelin J.M., 1987: Predictability of sequence of homologies among lysine rich histones by immunological distance

Dijkmans B.A.C.; Mattie H., 1987: Predictability of serum concentrations of aminoglycosides after hemodialysis

Churchill, D. N.; Mcnamara, J. A.; Bowmer, M. I.; Ahmed, M.; Gault, M. H., 1978: Predictability of serum gentamicin concentrations in renal failure

Menon P.S.N.; Mohapatra S.S., 1987: Predictability of severity of abo hemolytic disease

Powell P.L.; Roy R.R.; Kanim P.; Bello M.A.; Edgerton V.R., 1984: Predictability of skeletal muscle tension from architectural determinations in guinea pig hindlimbs

Buntain, W. L.; Gould, H. R.; Maull, K. I., 1988: Predictability of splenic salvage by computed tomography

Tunstall-Pedoe, H. D., 1978: Predictability of sudden death from resting electro cardiogram effect of previous manifestations of coronary heart disease

Rosenthal J.T.; Libertino J.A.; Zinman L.N.; Breslin D.J.; Swinton N.W.Jr; Christlieb A.R. , 1981: Predictability of surgical cure of reno vascular hypertension

Coulter, G. H.; Foote, R. H., 1977: Predictability of testicular traits in young and mature holstein bulls reared under different systems

Vogel, G., 1975: Predictability of the activity of drug combinations yes or no

Rayburn W.F.; Anderson C.W.; O'shaugnessy R.W.; Ruckman W.P., 1981: Predictability of the distressed term infant

Snyder J.M., 1982: Predictability of the glycerin test in the diagnosis of menieres disease

Gerry J.L.; Achuff S.C.; Becker L.C.; Pond M.S.; Greene H.L., 1979: Predictability of the response to the ergonovine test value in the diagnosis of coronary spasm

Oostdam E.M.M.; Duivenvoorden H.J., 1983: Predictability of the result of surgical intervention in patients with low back pain

Wheatley D.N., 1987: Predictability of the selection of proteins for degradation further comments

Mueller, W. H., 1977: Predictability of the stability constant of a radium cryptate by means of in vivo data from radioactive alkaline earths

Yoo K Y., 1988: Predictability of the test methods used in the detection for hepatitis b virus infection in a defined population

Mcghee J.R.; Evans R.; Wolfson P.M.; Dunlap S.; Haspel L.; Smith C.R.Jr; Braunstein D.B., 1981: Predictability of the warfarin maintenance dosage based on the initial response

Millstein Prentky S.; Olson R.E., 1979: Predictability of treatment outcome in patients with myo fascial pain dys function syndrome

Pietruszka R.D.; Seely M.K., 1985: Predictability of two moisture sources in the namib desert namibia

Sawyer W.T., 1979: Predictability of warfarin dose requirements theoretical considerations

Lacy R.C., 1984: Predictability toxicity and trophic niche breadth in fungus feeding drosophilidae diptera

Martin T.P., 1987: Predictable adaptations by skeletal muscle mitochondria to different exercise training workloads

Hoppe W.F.; Reichert M.J.M., 1987: Predictable annual mass release of gametes by the coral reef sponge neofibularia nolitangere porifera demospongiae

Sniderman, A. D.; Teng, B., 1977: Predictable changes in low density lipo protein composition after acute myo cardial infarction

Foret J.; Benoit O., 1980: Predictable effects of individual sleep patterns during a rapidly rotating shift system

Fiserova Bergerova V.; Vlach J.; Cassady J.C., 1980: Predictable individual differences in uptake and excretion of gases and lipid soluble vapors simulation study

Jagielo J.A.; Zentall T.R., 1986: Predictable long delay matching to sample trials results in long latency sample responding by pigeons

Hay M.E., 1984: Predictable spatial escapes from herbivory how do these affect the evolution of herbivore resistance in tropical marine communities

Saadat S.; Stehle A.D.; Lamouroux A.; Mallet J.; Thoenen H., 1988: Predicted amino acid sequence of bovine tyrosine hydroxylase and its similarity to tyrosine hydroxylases from other species

Zhukov Yu P.; Filippov A.L., 1985: Predicted and actual changes in the agrochemical indices of soddy podzolic soils when calculated fertilizer systems in combination with 2 4 d and retardants are used

Johnstone D.R.; Allsopp R.; Cooper J.F.; Dobson H.M., 1988: Predicted and observed droplet deposition on tsetse flies glossina morsitans following aerosol application from aircraft

Caron D.A.; Be A.W.H., 1984: Predicted and observed feeding rates of the spinose planktonic foraminifer globigerinoides sacculifer

Desmarchelier J.M.; Goldring M.; Horgan R., 1980: Predicted and observed residues of bioresmethrin carbaryl fenitrothion d fenothrin methacrifos and pirimiphos methyl on rice and barley after storage and losses of these insecticides during processing

Atkins, K. D.; Thompson, R., 1986: Predicted and realized responses to selection for an index of bone length and body weight in scottish blackface sheep 1. responses in the index and component traits

Atkins, K. D.; Thompson, R., 1986: Predicted and realized responses to selection for an index of bone length and body weight in scottish blackface sheep 2. correlated responses in lifetime productivity

Heidelberger, M.; Slodki, M. E., 1968: Predicted and unpredicted cross reactions of an acetylphospho galactan of sporobolomyces yeast galactose residue streptococcus pneumococcus salmonella paratyphi horse serum

Heidelberger, M.; Slodki, M. E., 1970: Predicted and unpredicted cross reactions of an acetylphospho galactan of sporobolomyces yeast part 2

Loucheux-Lefebvre, M. H., 1978: Predicted beta turns in peptide and glyco peptide antifreezes

Degrado W.F.; Erickson Viitanen S.; Wolfe H.R.Jr; O'neil K.T., 1987: Predicted calmodulin binding sequence in the gamma subunit of phosphorylase b kinase

Rachlin, A. I., 1976: Predicted compounds with alleged biological activities from analyses of structure activity relationships implications for medicinal chemists

Jackson D.; Coughtrey P.J.; Crabtree D.F., 1987: Predicted concentrations of cesium 137 iodine 131 iodine 129 plutonium 241 and americium 241 in various foodstuffs following deposition to ground

Gibson K.D.; Scheraga H.A., 1986: Predicted conformations for the immunodominant region of the circumsporozoite protein of the human malaria parasite plasmodium falciparum

Janz, R. F.; Waldron, R. J., 1978: Predicted effect of chronic apical aneurysms on the passive stiffness of the human left ventricle

Richard J.G.; Sundstrom F.J.; Grimes J.A.; Geaghan J.P.; Etzel W.W., 1985: Predicted effect of temperature and nitrogen fertilization on crop response of 4 cultivars of head lettuce lactuca sativa

Macrae J., 1987: Predicted effects of ageing in monitoring audiometry

Stoner G.L., 1984: Predicted folding of beta structure in myelin basic protein

West J.B.; Wagner P.D., 1980: Predicted gas exchange on the summit of mount everest

Attenborough K., 1982: Predicted ground effect for highway noise

Feins R.H.; Roedersheimer L.R.; Baumstark A.E.; Green R.M., 1981: Predicted hyperemic angiography a technique of distal arteriography in the severely ischemic leg

Rottier P.J.M.; Welling G.W.; Welling Wester S.; Niesters H.G.M.; Lenstra J.A.; Van Der Zeijst B.A.M., 1986: Predicted membrane topology of the coronavirus protein e 1

Nakata Y.; Hopfinger A.J., 1980: Predicted mode of intercalation of doxorubicin with di nucleotide dimers

Wilson S.H.; Cooke N.T.; Edwards R.H.T.; Spiro S.G., 1984: Predicted normal values for maximal respiratory pressures in caucasian adults and children

Natu M.; Shaikh N., 1984: Predicted norms for peak expiratory flow rate

Shewchuk A.B.; Corenblum B.; Pairaudeau N.; Ezrin C.; Adamson G.D., 1980: Predicted ovulatory response to 2 bromo alpha ergocryptine cb 154 in amenorrhea galactorrhea syndromes

Osborn J.W.; Baragar F.A., 1985: Predicted pattern of human muscle activity during clenching derived from a computer assisted model symmetric vertical bite forces

Collins N.J.; Callaghan T.V., 1980: Predicted patterns of photosynthetic production in maritime antarctic mosses

Mengle Gaw L.; Mcdevitt H.O., 1985: Predicted protein sequence of the murine i e beta s polypeptide chain from complementary dna and genomic clones

Gross R., 1979: Predicted protein value some considerations to a new mathematical method for the evaluation of the biological value of food protein

Tave D.; Smitherman R.O., 1980: Predicted response to selection for early growth in tilapia nilotica

Kim Y.; Prohofsky E.W., 1986: Predicted role of particular phonons in the strand separation melting of the dna double helix

Zav'yalov V.P.; Denesyuk A.I., 1985: Predicted secondary structure and hydrophobic cores of t cell t cell growth factor or interleukin 2 and platelet derived growth factors as well as of transforming protein p 28s i s of simian sarcoma virus are similar to those of interferons

Merle M.; Lefevre G.; Milhaud G., 1979: Predicted secondary structure of calcium in relation to the biological activity

Camici, G.; Manao, G.; Cappugi, G.; Ramponi, G., 1981: Predicted secondary structure of horse muscle acyl phosphatase ec 3.6.1.7 comparison with circular dichroism measurements

Eterovic, V. A.; Ferchmin, P. A., 1977: Predicted secondary structure of snake venom toxins from their primary structures

Schaeffer E.; Sninsky J.J., 1984: Predicted secondary structure similarity in the absence of primary amino acid sequence homology hepatitis b virus open reading frames

Moews, P. C.; Knox, J. R., 1979: Predicted secondary structures of 4 penicillin beta lactamases ec 3.5.2.6 and a comparison with 2 lysozymes

Ieiri I.; Higuchi S.; Yoshikawa M.; Aoyama T.; Horioka M., 1987: Predicted serum carbamazepine concentration by bayesian method effects of population based on initial estimates on predictive performance

Emmerich W.E.; Lund L.J.; Page A.L.; Chang A.C., 1982: Predicted solution phase forms of heavy metals in sewage sludge treated soils

Koppes L.J.; Woldringh C.L.; Grover N.B., 1987: Predicted steady state cell size distributions for various growth models

Stellwagen, E., 1976: Predicted structure for aldolase

Taylor W.R.; Geisow M.J., 1987: Predicted structure for the calcium dependent membrane binding proteins p35 p36 and p32

Perricaudet M.; Le Moullec J.M.; Pettersson U., 1980: Predicted structure of 2 adenovirus tumor antigens

Weber I.T.; Steitz T.A.; Bubis J.; Taylor S.S., 1987: Predicted structures of cyclic amp binding domains of type i and ii regulatory subunits of cyclic amp dependent protein kinase

Chung K.S.; Strawn K., 1982: Predicted survival of the bay anchovy anchoa mitchilli in the heated effluent of power plant on galveston bay texas usa

Edwards D.J.; Mangione A.; Cumbo T.J.; Schentag J.J., 1981: Predicted tissue accumulation of netilmicin in patients

O'connor, G. A.; Van-Genuchten, M. T.; Wierenga, P. J., 1976: Predicting 2 4 5 t movement in soil columns

Lewis D.L.; Kollig H.P.; Hall T.L., 1983: Predicting 2 4 d ester transformation rates in periphyton dominated ecosystems

Kishi K.; IIno H.; Tachikawa Y.; Tagusari T.; Kawanishi N.; Yokouchi K., 1982: Predicting 305 day milk yield by the use of lactation curve formula in dairy cattle

Ametov A.S.; Livshits A.Kh; Oleinik E.K., 1988: Predicting a recurrence of thyrotoxicosis after radioiodine therapy for diffuse toxic goiter

Giger S.; Sauvant D.; Hervieu J.; Dorleans M., 1986: Predicting ability of different analytical criteria for digestibility of mixed diets given to dairy goats

Miller D.J.; Stone M.; Beck N.S.; Fraps C.; Shekim W., 1983: Predicting absent without leave discharge at a community mental health center a split half validation

Birks, L. S., 1977: Predicting absolute sensitivity and limit of detection for x ray analysis of pollution samples

Austin, H. M.; Hickey, C. R-Jr, 1978: Predicting abundance of striped bass morone saxatilis in new york usa waters from modal lengths

Padilla, E. R.; Rohsenow, D. J.; Bergman, A. B., 1976: Predicting accident frequency in children

Eno, L., 1978: Predicting achievement and the theory of fluid and crystallized intelligence

Christensen S.W.; Breck J.E.; Van Winkle W., 1988: Predicting acidification effects on fish populations using laboratory data and field information

Donderi D.C.; Murphy S.B., 1983: Predicting activity and satisfaction following cataract surgery

Hadgu A.; Westrom L.; Brooks C.A.; Reynolds G.H.; Thompson S.E., 1986: Predicting acute pelvic inflammatory disease a multivariate analysis

Tomar, R. H.; Stuart, M. J., 1981: Predicting acute vs. chronic childhood idiopathic thrombocytopenic purpura

Hull J.T.; Thompson J.C., 1980: Predicting adaptive functioning of mentally retarded persons in community settings

Steger, H. G.; Chisholm, S., 1977: Predicting adjustment of heart patients with the cardiac adjustment scale

Klesges R.C.; Fisher L.; Vasey M.; Pheley A., 1985: Predicting adult premorbid functioning levels another look

Harris E.F.; Weinstein S.; Weinstein L.; Poole A.E., 1980: Predicting adult stature a comparison of methodologies

Kopczynska Sikorska J.; Miesowicz I., 1980: Predicting adult stature for normal short polish boys by roche wainer and thissen method

Cairns R.B.; Cairns B.D., 1984: Predicting aggressive patterns in girls and boys a developmental study

Akers R.C.; Nielsen D.G., 1984: Predicting agrilus anxius coleoptera buprestidae adult emergence by heat unit accumulation

Drake R.E.; Vaillant G.E., 1988: Predicting alcoholism and personality disorder in a 33 year longitudinal study of children of alcoholics

Ford W.E.; Schmittdiel C.J.; Reed J., 1983: Predicting alcoholism manpower needs

Ford W.E.; Schmittdiel C.J., 1983: Predicting alcoholism service needs from a national treatment utilization survey

Jeffcoat M.K.; Kaplan M.L.; Goldhaber P., 1980: Predicting alveolar bone loss in beagles using bone seeking radio pharmaceutical uptake

Smith Gill S.J.; Berven K.A., 1979: Predicting amphibian metamorphosis

Bongard O.; Krahenbuhl B., 1988: Predicting amputation in severe ischemia

Rozov N.N.; Bulgakov D.S.; Vadkovskaya N.N., 1984: Predicting an increase in soil fertility on the basis of development of agro ecological models/

Furnham A.; Varian C., 1988: Predicting and accepting personality test scores

Barlow, G. W.; Ballin, P. J., 1976: Predicting and assessing dominance from size and coloration in the poly chromatic midas cichlid

Crete M.; Rivest L P.; Jolicoeur H.; Brassard J M.; Messier F., 1986: Predicting and correcting helicopter counts of moose with observations made from fixed wing aircraft in southern quebec

Layton D.W.; Cederwall R.T., 1987: Predicting and managing the health risks of sour gas wells

Pooni H.S.; Jinks J.L.; De Toledo J.F.F., 1985: Predicting and observing the properties of 2nd cycle hybrids using basic generations in inbred line x f 1 crosses

Clarkson J.E.; Monaghan S.M.; Gilmore R.J.; Muir R.C.; Crooks T.J.; Egan T.G., 1988: Predicting and preventing parenting problems

Cochran S.T.; Wong W.S.; Roe D.J., 1983: Predicting angiography induced acute renal function impairment clinical risk model

Rozenberg G.S.; Feklistov P.A., 1982: Predicting annual growth in woody plants using self organization methods

Shenkin, P. S.; Yarmush, D. L.; Fine, R. M.; Wang, H.; Levinthal, C., 1987: Predicting antibody hypervariable loop conformation i. ensembles of random conformations for ring like structures

Fine R.M.; Wang H.; Shenkin P.S.; Yarmush D.L.; Levinthal C., 1986: Predicting antibody hypervariable loop conformations ii minimization and molecular dynamics studies of mcpc603 from many randomly generated loop conformations

Pandian T.J.; Marian M.P., 1985: Predicting anuran metamorphosis and energetics

Babb J.D.; Parr G.V.S.; O'neill M.J.Jr, 1981: Predicting aortic valve prosthesis size a step toward better matching of patient and prosthesis

Lande S.S.; Banerjee S., 1981: Predicting aqueous solubility of organic nonelectrolytes from molar volume

Gilbert F.S.; Maxwell P.J., 1987: Predicting attendance at follow up evaluations in alcoholism treatment outcome research

Kelley K., 1982: Predicting attraction to the novel stimulus person affect and concern

Clark K.L.; Euler D.; Armstrong E., 1984: Predicting avian community response to lakeshore cottage development

Watson W.F.; Matney T.G., 1985: Predicting axle loads on trucks hauling tree length logs

Ghrist, B. F. D.; Stadalius, M. A.; Snyder, L. R., 1987: Predicting bandwidth in the high performance liquid chromatographic separation of large biomolecules i. size exclusion studies and the role of solute stokes diameter versus particle pore diameter

Stadalius, M. A.; Ghrist, B. F. D.; Snyder, L. R., 1987: Predicting bandwidth in the high performance liquid chromatographic separation of large biomolecules ii. a general model for the four common high performance liquid chromatography methods

Bachan, G. D., 1982: Predicting bare soil temperature 1. theory and models for the multi day mean diurnal variation

Buchan, G. D., 1982: Predicting bare soil temperature 2. experimental testing of multi day models

Wade D.T.; Skilbeck C.E.; Hewer R.L., 1983: Predicting barthel activity of daily living score at 6 months after an acute stroke

Pienaar L.V.; Shiver B.D.; Grider G.E., 1985: Predicting basal area growth in thinned slash pine pinus elliottii plantations

Blass, T.; Bauer, K. W., 1988: Predicting behavior from the piers harris children's self concept scale

Valin S.D.; Sutherland D.J., 1982: Predicting bio flocculation new developments in the application of flocculation theory

Aguirre L.A.; Harris M.K., 1986: Predicting biological events of the pecan nut casebearer using a degree day model in coahuila mexico

Vora R.S., 1988: Predicting biomass of five shrub species in northeastern california usa

Heiligmann R.B.; Golitz M.; Dale M.E., 1984: Predicting board foot tree volume from stump diameter for 8 hardwood species in ohio usa

Fechhelm R.G.; Neill W.H., 1982: Predicting body core temperature in fish subjected to fluctuating ambient temperature

Witte D.L.; Angstadt D.S.; Davis S.H.; Schrantz R.D., 1988: Predicting bone marrow iron stores in anemic patients in a community hospital using ferritin and erythrocyte sedimentation rate

Latchaw R.E.; Payne J.T.; Loewenson R.B., 1980: Predicting brain tumor histology change of effective atomic number with contrast enhancement

Mao-Yi, F.; Tamm, C. O., 1985: Predicting branch and needle growth of spruce picea abies from easily measureable tree parameters i. length of first order shoots

Tamm, C. O.; Fu, M. Y., 1987: Predicting branch and needle growth of spruce picea abies l. karst. from easily measureable tree parameters ii. branch weight

Stenkvist B.; Bengtsson E.; Dahlqvist B.; Eklund G.; Eriksson O.; Jarkrans T.; Nordin B., 1982: Predicting breast cancer recurrence

Rhoades, J. D., 1981: Predicting bulk soil electrical conductivity vs. saturation paste extract electrical conductivity calibrations from soil properties

Shikhov I.Ya; Khamitsaeva M.P.; Boinovich M.M., 1987: Predicting calf milk productivity with the use of dna quantitative analysis in sweat gland nuclear cells

Gjerde B., 1987: Predicting carcass composition of rainbow trout by computerized tomography

Gjerde B.; Martens H., 1987: Predicting carcass composition of rainbow trout by near ir reflectance spectroscopy

Shelton, M.; Smith, G. C.; Orts, F., 1977: Predicting carcass cutability of rambouillet rams using live animal traits

Blackburn G.R.; Deitch R.A.; Schreiner C.A.; Mackerer C.R., 1986: Predicting carcinogenicity of petroleum distillation fractions using a modified salmonella mutagenicity assay

Detsky A.S.; Abrams H.B.; Mclaughlin J.R.; Drucker D.J.; Sasson Z.; Johnston N.; Scott J.G.; Forbath N.; Hilliard J.R., 1986: Predicting cardiac complications in patients undergoing non cardiac surgery

Pal R.; Mehta S.C.; Poonia S.R., 1983: Predicting cation exchange equilibria in soil containing 3 heterovalent cations

Adams H.P.Jr; Kassell N.F.; Torner J.C.; Haley E.C.Jr, 1987: Predicting cerebral ischemia after aneurysmal subarachnoid hemorrhage influences of clinical condition ct results and antifibrinolytic therapy a report of the cooperative aneurysm study

Evans R.L.; Kleinman L.; Halar E.M.; Herzer K., 1984: Predicting change in life satisfaction as a function of group counseling

Prochaska J.O.; Diclemente C.C.; Velicer W.F.; Ginpil S.; Norcross J.C., 1985: Predicting change in smoking status for self changers

Walsh Flaherty E.; Olsen K.; Bencivengo M., 1980: Predicting changes in drug use and treatment entry for local programs a case study

Kostyl'ov O.V., 1983: Predicting changes in steppe vegetation caused by the danube dnieper canal ukrainian ssr ussr

Rau A.G., 1983: Predicting changes in the mineralization of rice check plots

Tkachenko V.S.; Osychnyuk V.V.; Parakhons'ka N.O., 1981: Predicting changes in the vegetation of lower dnieper river floodplain ukrainian ssr ussr caused by hydraulic engineering construction

Mcginnis G.E.; Osberg J.S.; Dejong G.; Seward M.L.; Branch L.G., 1987: Predicting charges for inpatient medical rehabilitation using severity drg age and function

Jouriles E.N.; Barling J.; O'leary K.D., 1987: Predicting child behavior problems in maritally violent families

Runco, M. A., 1986: Predicting children's creative performance

Horii, Y.; Brandenburger, P., 1986: Predicting children's oral reading proficiency from selected acoustic and perceptual measures

Ladd, G. W.; Price, J. M., 1987: Predicting children's social and school adjustment following the transition from preschool to kindergarten

Nikolaeva L.F.; Kovaleva O.F.; Novikov I.D.; Zhidko N.I.; Modorova A.A., 1987: Predicting circulatory insufficiency and composite ventricular arrhythmias as late results of myocardial infarction

Fraps C.L.; Mcreynolds W.T.; Beck N.C.; Heisler G.H., 1982: Predicting client attrition from psycho therapy through behavioral assessment procedures and a critical response approach

Mcconnochie K.M.; Roghmann K.J., 1985: Predicting clinically significant lower respiratory tract illness in childhood following mild bronchiolitis

Pieczenik G., 1980: Predicting coding function from nucleotide sequence or survival of fitness of transfer rna

Wood G.M.; Cohen R.P., 1984: Predicting cold tolerance in perennial rye grass lolium perenne from subcrown internode length

Cohen R.P.; Wood G.M., 1986: Predicting cold tolerance in perennial ryegrass lolium perenne through alcohol bath freezing of seedling plants

Kay D.; Mcdonald A., 1983: Predicting coliform concentrations in upland impoundments design and calibration of a multi variate model

Egorova M.S.; Vorob'ev A.M.; Parkhomenko G.M., 1982: Predicting collective radiation doses in the personnel of nuclear power plants

Haviland M.G.; Shaw D.G.; Haviland C.P., 1984: Predicting college graduation using selected institutional data

Macrae F.A.; Hill D.J.; St John D.J.B.; Ambikapathy A.; Garner J.F.; Baxter R.; Bradley J.; Brommeyer D.; Brownfield R.; Et Al, 1984: Predicting colon cancer screening behavior from health beliefs

Logan P.A.; Casagrande R.A., 1980: Predicting colorado potato beetle leptinotarsa decemlineata density and potato yield loss

Hall, F. L.; Taylor, S. M., 1977: Predicting community response to road traffic noise

Gilbert J.R.; Evans C.E.; Haynes R.B.; Tugwell P., 1980: Predicting compliance with a regimen of digoxin therapy in family practice

Flanders P.; Mcnamara J.R., 1987: Predicting compliance with home relaxation training

Premo B.J.; Mcnabb C.D.; Payne F.C.; Batterson T.R.; Craig J.R.; Siami M., 1985: Predicting concentration of total phosphorus and chlorophyll a in a lake with short hydraulic residence time

Giangiacomo R.; Magee J.B.; Birth G.S.; Dull G.G., 1981: Predicting concentrations of individual sugars in dry mixtures by near ir reflectance spectroscopy

Rippere, V., 1980: Predicting consensus about propositions concerning depression and anti depressive behavior another cognitive dimension of common sense knowledge

Fekken G.C.; Jackson D.N., 1988: Predicting consistent psychological test item responses a comparison of models

Brun Bellut J.; Blanchart G.; Vignon B., 1981: Predicting consumption in the lactating goat

Burger J.M.; Inderbitzen H.M., 1985: Predicting contraceptive behavior among college students the role of communication knowledge sexual anxiety and self esteem

Gupta S.C., 1985: Predicting corn zea mays planting dates for moldboard and no till tillage systems in the corn belt usa

Christison G.W.; Bonoris P.E.; Greenberg P.S.; Castellanet M.J.; Ellestad M.H., 1979: Predicting coronary artery disease with treadmill stress testing changes in r wave amplitude compared with st segment depression

Gordon, T.; Castelli, W. P.; Hjortland, M. C.; Kannel, W. B.; Dawber, T. R., 1977: Predicting coronary heart disease in middle aged and older persons the framingham study

Snowden C.B.; Mcnamara P.M.; Garrison R.J.; Feinleib M.; Kannel W.B.; Epstein F.H., 1982: Predicting coronary heart disease in siblings a multi variate assessment the framingham heart study

Wanjura D.F.; Newton O.H., 1981: Predicting cotton gossypium hirsutum crop boll development

Salazar D.E.; Corcoran G.B., 1988: Predicting creatinine clearance and renal drug clearance in obese patients from estimated fat free body mass

Skogley E.O.; Haby V.A., 1981: Predicting crop responses on high potassium soils of frigid temperature and ustic moisture regimes

Onstad D.W.; Fick G.W., 1983: Predicting crude protein in vitro true digestibility and leaf proportion in alfalfa medicago sativa herbage

Lee A.J.; Wardrop J., 1984: Predicting daily milk yield fat percent and protein percent from morning or afternoon tests

Strakhov V.V., 1980: Predicting defoliation of plantings by lepidopterans

Thompson T.; Unna K.R., 1977: Predicting dependence liability of stimulant and depressant drugs

Newman K.W., 1983: Predicting depth to the water table based on species presence on an oregon usa coast deflation plain

Tingle C.C.D.; Copland M.J.W., 1988: Predicting development of the mealybug parasitoids anagyrus pseudococci leptomastix dactylopii and leptomastidea abnormis under glasshouse conditions

Mogensen C.E.; Christensen C.K., 1984: Predicting diabetic nephropathy in insulin dependent patients

Wharton E.H., 1984: Predicting diameter at breast height from stump diameters for northeastern usa tree species

Roberts M.R.; Hruska A.J., 1986: Predicting diameter distributions a test of the stationary markov model

Zimmerman I., 1980: Predicting diet quality from measurement of nitrogen and moisture in cattle dung

Agashua P.A.; Lyle R.C.; Livesley W.J.; Slade P.D.; Winney R.J.; Irwin M. , 1981: Predicting dietary noncompliance of patients on intermittent hemo dialysis

Kern, J. M.; Cavell, T. A.; Beck, B., 1985: Predicting differential reactions to males vs. females assertions empathic assertions and nonassertions

Hart J.D., 1984: Predicting differential response to electro myographic bio feedback and relaxation training the role of cognitive structure

Wilson M.E.; Spiegelhalter D.; Robertson J.A.; Lesser P., 1988: Predicting difficult intubation

Ebersole, W. C., 1971: Predicting disturbances to the near and offshore sedimentary regime from marine mining

Mcinnes K.J.; Kanemasu E.T.; Kissel D.E.; Sisson J.B., 1986: Predicting diurnal variations in water content along with temperature at the soil surface

Breslauer K.J.; Frank R.; Blocker H.; Marky L.A., 1986: Predicting dna duplex stability from the base sequence

Bailey R.J.; Russell P.F., 1981: Predicting drinking water lead levels

Boscarino J., 1981: Predicting drug abuse from social demographic factors a discriminant function analysis

Hilen A.G.; Good G.L., 1985: Predicting dry matter nitrogen phosphorus and potassium accumulation in field grown early forsythia forsythia ovata

Hammerton, J. L., 1977: Predicting dry weights of pigeon pea plants from nondestructive measurements

Konobeeva V.K.; Poddubnyi A.G., 1982: Predicting early juvenile distribution in water reservoirs

Boyd, C. E.; Romaire, R. P.; Johnston, E., 1978: Predicting early morning dissolved oxygen concentrations in channel catfish ponds

Mckay M.F.; Neale M.D., 1985: Predicting early school achievement in reading and handwriting using major error categories from the bender gestalt test for young children

Herbert H.J.; Mcrae K.B., 1982: Predicting eclosion of over wintering eggs of the european red mite panonychus ulmi acarina tetranychidae in nova scotia canada

Yule W.; Lansdown R.; Urbanowicz M A., 1982: Predicting educational attainment from wechsler intelligence scale for children revised in a primary school sample

Phillips R.S.; Safran C.; Cleary P.D.; Delbanco T.L., 1987: Predicting emergency readmissions for patients discharge from the medical service of a teaching hospital

Giguere L.A.; Delage A.; Dill L.M.; Gerritsen J., 1982: Predicting encounter rates for zoo plankton a model assuming a cylindrical encounter field

Holter J.B.; Urban W.E.; Hayes H.H., 1979: Predicting energy and nitrogen retention in young white tailed deer odocoileus virginianus

Tolonen K.; Keys D.; Klemetti V., 1982: Predicting energy content of in situ peats by means of their moisture content and bulk density

Pandolf, K. B.; Givovi, B.; Goldman, R. F., 1977: Predicting energy expenditure with loads while standing or walking very slowly

Mittelmark M.B.; Murray D.M.; Luepker R.V.; Pechacek T.F.; Pirie P.L.; Pallonen U.E., 1987: Predicting experimentation with cigarettes the childhood antecedents of smoking study cass

Dimsdale J.E.; Hutter A.M.Jr; Hackett T.P.; Block P.C., 1981: Predicting extensive coronary artery disease

Murashko V.V.; Alekseeva N.V., 1985: Predicting extrasystolic arrhythmia in patients with atherosclerotic cardiosclerosis

Kennelly, J. J.; Johns, B. E.; Breidenstein, C. P.; Roberts, J. D., 1977: Predicting female coyote breeding dates from fetal measurements

Duzan H.W.Jr; Allen H.L.; Ballard R., 1982: Predicting fertilizer response in established loblolly pine pinus taeda plantations with basal area and site index

Bahill A.T.; Kallman J.S., 1983: Predicting final eye position halfway through a saccade

Marshall J.D.; Waring R.H., 1985: Predicting fine root production and turnover by monitoring root starch and soil temperature

Holcik, J.; Bastl, I., 1977: Predicting fish yield in the czechoslovakian section of the danube river based on the hydrological regime

Cherkashchenko I.I.; Izhvoldina S.N., 1988: Predicting flesh content in the carcass of young cattle using a computer

Derron J.O.; Roth O., 1986: Predicting flight onset of the european corn borer ostrinia nubilalis huebner lepidoptera pyralidae using a multiple regression model

Norris, K. H.; Barnes, R. F.; Moore, J. E.; Shenk, J. S., 1976: Predicting forage quality by ir reflectance spectroscopy

Casler M.D.; Hovin A.W., 1985: Predicting forage yield from morphological traits in reed canarygrass phalaris arundinacea

Simpson R.W., 1984: Predicting frequency distributions for ozone nitrogen di oxide and total suspended particulates from restricted data sets

Rippere V., 1980: Predicting frequency intensity and duration of other peoples self reported depression

Lutfi R.A., 1984: Predicting frequency selectivity in forward masking from simultaneous masking

Simard A.J.; Eenigenburg J.E.; Blank R.W., 1984: Predicting fuel moisture in jack pine pinus banksiana slash a test of 2 systems

Prescott R.J.; Garraway W.M.; Akhtar A.J., 1982: Predicting functional outcome following acute stroke using a standard clinical examination

Siegenthaler, U.; Oeschger, H., 1978: Predicting future atmospheric carbon di oxide levels

Oliver R.M., 1985: Predicting future pollution exceedances under emission controls

Farrer, L. A.; Bonne-Tamir, B.; Frydman, M.; Magazanik, A.; Kidd, K. K.; Bowcock, A. M.; Cavalli-Sforza, L. L., 1988: Predicting genotypes at loci for autosomal recessive disorders using linked genetic markers application to wilson's disease

Greene T.A.; Shilling C.L., 1987: Predicting girdling probability for pine and hardwood saplings in low intensity backfires

Serrano S.E.; Unny T.E., 1987: Predicting groundwater flow in a phreatic aquifer

Proctor A.J.; Ruhling R.O., 1981: Predicting group membership of 9th grade female athletes in selected sports

Lowell K.E.; Mitchell R.J.; Johnson P.S.; Garrett H.E.; Cox G.S., 1987: Predicting growth and success of coppice regenerated oak stems

Maurer B.A., 1986: Predicting habitat quality for grassland birds using density habitat correlations

Perry K.B.; Blankenship S.M.; Unrath C.R., 1987: Predicting harvest date of delicious and golden delicious apples using heat unit accumulations

Wolf S.; Rudich J.; Marani A.; Rekah Y., 1986: Predicting harvesting date of processing tomatoes by a simulation model

Hall, J. W., 1978: Predicting hearing level from the acoustic reflex a comparison of 3 methods

Rizzo S.R.Jr; Greenberg H.J., 1981: Predicting hearing loss from the acoustic reflex

Shoulders E.; Tiarks A.E., 1980: Predicting height and relative performance of major southern pines from rainfall slope and available soil moisture

Munn L.C.; Vimmerstedt J.P., 1980: Predicting height growth of yellow poplar liriodendron tulipifera from soils and topography in southeastern ohio usa

Bershadskii B.G.; Larikova L.P.; Evdokimova T.A., 1983: Predicting hemodynamic reactions to isometric load

Biley T.B.Jr; Qualset C.O.; Cox D.F., 1980: Predicting heterosis in wheat triticum aestivum aestivum

Chekiang-Agric-Univ-Teach-Res-Group-Plant-Physiol, 1975: Predicting heterosis of hybrid corn by mitochondrial complementation

Stepanov K.M.; Pyzhikova G.V., 1982: Predicting hibernation of the causal agent of brown rust in winter wheat

Scott, M. W.; Wilson, M. E., 1976: Predicting high blood alcohol levels for animals in a group situation

Heinssen R.K.; Mcglashan T.H., 1988: Predicting hospital discharge status for patients with schizophrenia schizoaffective disorder borderline personality disorder and unipolar affective disorder

Brown, D. E.; Smith, R. H., 1976: Predicting hunting success from call counts of mourning and white winged doves

Pekala R.J.; Kumar V.K., 1983: Predicting hypnotic susceptibility by a self report phenomenological state instrument

Pekala R.J.; Kumar V.K., 1987: Predicting hypnotic susceptibility via a self report instrument a replication

Toft, A. D., 1978: Predicting hypo thyroidism

Parker G.; Tennant C.; Blignault I., 1985: Predicting improvement in patients with nonendogenous depression

Jimenez J.; Morgan P.P., 1979: Predicting improvement in stroke patients referred for in patient rehabilitation

Gilbert W.A.; Ludwick A.E.; Westfall D.G., 1981: Predicting in season nitrogen requirements of sugar beets beta vulgaris based on soil and petiole nitrate

Saiga, S.; Hojito, S., 1978: Predicting in vitro digestibility from the traits of some plant characters in space planted orchard grass dactylis glomerata

Macpherson T.A.; Garver K.L.; Turner J.H.; Diggans G.R.; Marchese S.G.; Poole G.C., 1985: Predicting in vitro tissue culture growth for cytogenetic evaluation of stillborn fetuses

Roughan, P. G.; Holland, R., 1977: Predicting in vivo digestibilities of herbages by exhaustive enzymic hydrolysis of cell walls

Manning C.; Gettys C.; Nicewander A.; Fisher S.; Mehle T., 1980: Predicting individual differences in generation of hypotheses

Carlton M.J.; Newell K.M.; Carlton L.G., 1984: Predicting individual discrete response outcomes from kinematic characteristics

Vozeh S.; Muir K.T.; Sheiner L.B.; Follath F., 1981: Predicting individual phenytoin dosage

Robinson F.C.; Warner R.N.; Gonzalez M.A., 1981: Predicting individual phenytoin serum levels of patients seen in a private office practice

Darenskaya N.G.; Chekhonadskii N.A.; Kuznetsova S.S., 1986: Predicting individual radiosensitivity in animals by the use of the mathematical method of object classification

Baroyan, O. V.; Rvachev, L. A., 1978: Predicting influenza epidemics in the ussr

Whitehead H.; Carscadden J.E., 1985: Predicting inshore whale abundance whales and capelin off the newfoundland coast canada

Cao Q.V.; Pepper W.D., 1986: Predicting inside bark diameter for shortleaf loblolly and longleaf pines

Tarn A.C.; Thomas J.M.; Dean B.M.; Ingram D.; Schwarz G.; Bottazzo G.F.; Gale E.A.M., 1988: Predicting insulin dependent diabetes

Netley C., 1987: Predicting intellectual functioning in 47 xxy boys from characteristics of sibs

Farber J.F.; Schmitt F.A.; Logue P.E. , 1988: Predicting intellectual level from the mini mental state examination

Vinck J.; Arickx M.; Hongenaert M., 1987: Predicting interindividual differences in blood pressure response to relaxation training in normotensives

Sullivan J.G.; Freytag G., 1986: Predicting interspecific compatibilities in beans phaseolus by seed protein electrophoresis

Ramey C.T.; Farran D.C.; Campbell F.A., 1979: Predicting iq from mother infant interactions

Clancy K.M.; Giese R.L.; Benjamin D.M., 1980: Predicting jack pine budworm choristoneura pinus pinus infestations in northwestern wisconsin usa

Kitano H.H.L.; Lubben J.E.; Chi I., 1988: Predicting japanese american drinking behavior

Sturner R.; Green J.A.; Funk S.G., 1984: Predicting kindergarten school performance using the mccarthy scales of childrens abilities

Lindsay P.H.; Shapiro A.; Musselman C.; Wilson A., 1988: Predicting language development in deaf children using subscales of the leiter international performance scale

Khrustselevskii, V. P.; Tristan, D. F.; Karpov, A. A., 1977: Predicting large toothed suslik numbers in deserts of the ussr

Turnock, W. J., 1987: Predicting larval abundance of the bertha armyworm mamestra configurata wlk. in manitoba canada from catches of male moths in sex attractant traps

Harrington T.B.; Tappeiner J.C.II.; Walstad J.D., 1984: Predicting leaf area and biomass of 1 to 6 year old tanoak lithocarpus densiflorus and pacific madrone arbutus menziesii sprout clumps in southwestern oregon usa

Eisensmith S.P.; Jones A.L.; Flore J.A., 1980: Predicting leaf emergence of cultivar montmorency sour cherry prunus cerasus from degree day accumulations

Eisensmith S.P.; Jones A.L.; Goodman E.D.; Flore J.A., 1982: Predicting leaf expansion of sour cherry prunus cerasus cultivar montmorency from degree day accumulations

Altman, H.; Evenson, R.; Won-Cho, D., 1978: Predicting length of stay by patients hospitalized for alcoholism or drug dependence

Auer L.M.; Gell G.; Richling B.; Oberbauer R.; Clarici G.; Heppner F., 1980: Predicting lethal outcome after severe head injury a computer assisted analysis of neurological symptoms and laboratory values

Montgomery J.R., 1979: Predicting level of dissolved reactive phosphate in the lafayette river virginia usa from information on tide wind temperature and sewage discharge

Pihl R.O.; Zacchia C.; Zeichner A., 1982: Predicting levels of aggression after alcohol intake in men social drinkers a preliminary investigation

Ayoub M.M.; Dryden R.; Mcdaniel J.; Knipfer R.; Dixon D., 1979: Predicting lifting capacity

Hart S.C.; Binkley D.; Campbell R.G., 1986: Predicting loblolly pine pinus taeda current growth and growth response to fertilization

Lea R.; Ballard R., 1982: Predicting loblolly pine pinus taeda growth response from nitrogen fertilizer using soil nitrogen availability indices

Ali M.K.; Mountain C.F.; Ewer M.S.; Johnston D.; Haynie T.P., 1980: Predicting loss of pulmonary function after pulmonary resection for bronchogenic carcinoma

Reeb K.G.; Graham A.V.; Zyzanski S.J.; Kitson G.C., 1987: Predicting low birthweight and complicated labor in urban black women a biopsychosocial perspective

Perlow D.L.; Diokno A.C., 1981: Predicting lower urinary tract dys functions in patients with spinal cord injury

Murthy B.N.; Sastry L.V.S.; Pathak P.C., 1983: Predicting lysine levels in barley by ninhydrin color reaction

Gbadegesin A., 1987: Predicting maize yield from plant characters in the savanna belt of oyo state nigeria

Ditton R.B.; Fedler A.J.; Graefe A.R., 1980: Predicting marine recreational fishing patterns from boat characteristics and equipment

Carter R.; Peavler M.; Zinkgraf S.; Williams J.; Fields S., 1987: Predicting maximal exercise ventilation in patients with chronic obstructive pulmonary disease

Epstein Y.; Stroschein L.A.; Pandolf K.B., 1987: Predicting metabolic cost of running with and without backpack loads

Holter, J. B.; Urban, W. E. Jr ; Hayes, H. H.; Silver, H., 1976: Predicting metabolic rate from telemetered heart rate in white tailed deer

Servello F.A.; Kirkpatrick R.L.; Webb K.E.Jr, 1987: Predicting metabolizable energy in the diet of ruffled grouse

Baruah T.C.; Siyag R.S.; Pal R.; Poonia S.R., 1985: Predicting moisture profiles in homogenous and layered aridisols and ultisols during horizontal infiltration

Pflugfelder, P.; Robertson, D.; Cape, R. D. T., 1977: Predicting mortality after elective abdominal aortic aneurysmectomy in the elderly

Lemin R.C.Jr; Burkhart H.E., 1983: Predicting mortality after thinning in old field loblolly pine pinus taeda plantations

Somers G.L.; Oderwald R.G.; Harms W.R.; Langdon O.G., 1980: Predicting mortality with a weibull distribution

Manstead A.S.R.; Plevin C.E.; Smart J.L., 1984: Predicting mothers choice of infant feeding method

Menge J.A.; Jarrell W.M.; Labanauskas C.K.; Ojala J.C.; Huszar C.; Johnson E.L.V.; Sibert D., 1982: Predicting mycorrhizal dependency of troyer citrange poncirus trifoliata on glomus fasciculatus in california usa citrus soils and nursery mixes

Gough L.P.; Mcneal J.M.; Severson R.C., 1980: Predicting native plant copper iron manganese and zinc levels using di ethylenetriamine penta acetic acid and edta soil extractants northern great plains usa

Myers R.A.; Doyle R.W., 1983: Predicting natural mortality rates and reproduction mortality trade offs from fish life history data

Beck D.E.; Bradley E.L.; Farringer J.A., 1988: Predicting need for pharmacokinetic consultation follow up using discriminant analysis

Campbell C.A.; Jame Y.W.; De Jong R., 1988: Predicting net nitrogen mineralization over a growing season model verification

Bowers, T. G.; Washburn, S. F.; Livesay, J. R., 1986: Predicting neuropsychological impairment by screening instruments and intellectual evaluation indices implications for the meaning of kaufman's factor iii

Romaire, R. P.; Boyd, C. E.; Collis, W. J., 1978: Predicting nighttime dissolved oxygen decline in ponds used for tilapia culture

Winch J.E.; Major H., 1981: Predicting nitrogen and digestibility of forages using near ir reflectance photometry

Shumway, J.; Atkinson, W. A., 1978: Predicting nitrogen fertilizer response in unthinned stands of douglas fir

Marion G.M.; Kummerow J.; Miller P.C., 1981: Predicting nitrogen mineralization in chaparral soils

Schiffrin A.; Suissa S., 1987: Predicting nocturnal hypoglycemia in patients with type i diabetes treated with continuous subcutaneous insulin infusion

Terrell P.G.; Hanson W.J.; Ramsey M.D., 1983: Predicting noise reduction from absorptive treatments in industrial spaces alternatives to the sabine method

Smith D.M.; Weinberger M.; Katz B.P., 1987: Predicting nonelective hospitalization a model based on risk factors associated with diabetes mellitus

Jokela E.J.; White E.H.; Berglund J.V., 1988: Predicting norway spruce growth from soil and topographic properties in new york usa

Johnson, J. H. Jr, 1986: Predicting nuclear reactor emergency evacuation behavior

Detsky A.S.; Baker J.P.; O'rourke K.; Johnston N.; Whitwell J.; Mendelson R.A.; Jeejeebhoy K.N., 1987: Predicting nutrition associated complications for patients undergoing gastrointestinal surgery

Boivin G.; Benoit D.L., 1987: Predicting onion maggot diptera anthomyiidae flights in southwestern quebec canada using degree days and common weeds

O'leary T.J.; Abbrecht P.H., 1981: Predicting oral anti coagulant response using a pharmacodynamic model

Campbell A.; Bibel D.; Muncer S., 1985: Predicting our own aggression person subculture or situation

Kay M.K., 1983: Predicting outbreaks of pseudocoremia suavis on douglas fir

Fischer, E. H.; Lohman, S., 1977: Predicting outcome for mental hospital patients who what to ask

Levy D.E.; Caronna J.J.; Singer B.H.; Lapinski R.H.; Frydman H.; Plum F., 1985: Predicting outcome from hypoxic ischemic coma

Lee, K. L.; Pryor, D. B.; Harrell, F. E. Jr ; Califf, R. M.; Behar, V. S.; Floyd, W. L.; Morris, J. J.; Waugh, R. A.; Whalen, R. E.; Rosati, R. A., 1986: Predicting outcome in coronary disease statistical models vs. expert clinicians

Fortuny L.A.I.; Adams C.B.T., 1981: Predicting outcome in patients with intra cranial aneurysms with the help of micro surgery

May P.R.A.; Van Putten T.; Yale C., 1980: Predicting outcome of anti psychotic drug treatment from early response

Evans R.L.; Kleinman L.; Halar E.M.; Herzer K., 1985: Predicting outcome of group counseling with severely disabled patients

Bartko G.; Herczeg I.; Bekesy M., 1987: Predicting outcome of neuroleptic treatment on the basis of subjective response and early clinical improvement

Patrick J., 1984: Predicting outcome of psychiatric hospitalization a comparison of attitudinal and psycho pathological measures

Jacob R.G.; Turner S.M.; Szekely B.C.; Eidelman B.H., 1983: Predicting outcome of relaxation therapy in head aches role of depression

Alekseevskaya, M. A.; Gel'fand, I. M.; Guberman-Sh, A.; Martynov, I. V.; Rotvain, I. M.; Sablin, V. M., 1977: Predicting outcomes of macro focal myo cardial infarctions with the help of a recognition program

Frydman R.; Testart J.; Fernandez H.; Arvis P.; Belaisch J.C., 1982: Predicting ovulation

Hedon B.; Mares P.; Mattera A.L.; Cristol P.; Deschamps F.; Gelis M.T.; Denjean R.; Viala J.L.; Durand G., 1983: Predicting ovulation by detecting the pre ovulatory rise in estrogens and luteinizing hormone in urine

Roberts J.M.; Sullivan M.; Froelicher V.F.; Genter F.; Myers J., 1984: Predicting oxygen uptake from treadmill testing in normal subjects and coronary artery disease patients

Kuperman S.K.; Golden C.J.; Blume H.G., 1979: Predicting pain treatment results by personality variables in organic and functional patients

Buss D.M., 1981: Predicting parent child interactions from childrens activity level

Taghon, G. L.; Self, R. F. L.; Jumars, P. A., 1978: Predicting particle selection by deposit feeders a model and its implications

Richardson D.M.; Manders P.T., 1985: Predicting pathogen induced mortality in hakea sericea proteaceae an aggressive alien plant invader in south africa

Taylor W.P.; Stern W.R.; Kubiszyn T.W., 1984: Predicting patients perceptions of response to treatment for low back pain

Routledge, P. A.; Davies, D. M.; Bell, S. M.; Cavanagh, J. S.; Rawlins, M. D., 1977: Predicting patients warfarin requirements

Jones, J. W., 1985: Predicting patients' withdrawal against medical advice from an alcoholism treatment center

Magaziner J.; Bassett S.S.; Hebel J.R., 1987: Predicting performance on the mini mental state examination use of age and education specific equations

Fink E.B.; Braden W.; Qualls C.B., 1982: Predicting pharmaco therapy outcome by subjective response

Perry M.W.; Siddique K.H.M.; Wallace J.F., 1987: Predicting phenological development for australian wheats

Yuen G.J.; Taylor J.W.; Ludden T.M.; Murphy M.J., 1983: Predicting phenytoin dosages using bayesian feedback a comparison with other methods

Rambeck B.; Boenigk H.E.; Dunlop A.; Mullen P.W.; Wadsworth J.; Richens A., 1979: Predicting phenytoin dose a revised nomogram

Savich V.I.; Naumova L.M.; Muradi N.M., 1987: Predicting phosphate transformation in soddy podzolic soil by the state of calcium iron and aluminum cations

Box E.O., 1981: Predicting physiognomic vegetation types with climate variables

Hunter I.R.; Gibson A.R., 1984: Predicting pinus radiata site index from environmental variables

Kamykowski D.; Zentara S J., 1986: Predicting plant nutrient concentrations from temperature and sigma t in the upper kilometer of the world ocean

Campbell D.R., 1986: Predicting plant reproductive success from models of competition for pollination

Warren B.L.; Jones C.J., 1987: Predicting plantar fasciitis in runners

Dipersio D.M.; Chow M.S.S., 1985: Predicting plasma procainamide concentrations resulting from a sustained release preparation

Butler J.D.; Crossley P.; Colwill D.M., 1982: Predicting poly cyclic aromatic hydro carbon concentrations in urban aerosols by linear multiple regression analysis

Bourne G.R.; Berlin J.A., 1982: Predicting pomacea dolioides prosobranchia ampullariidae weights from linear measurements of their shells

Tesch S.D.; Zuuring H.R.; Faurot J.L., 1983: Predicting ponderosa pine pinus ponderosa plantation yields using unmanaged stand data

Baeumler W., 1982: Predicting population density of mice and voles in forest plantations

Wright A.D.; Center T.D., 1984: Predicting population intensity of adult neochetina eichhorniae coleoptera curculionidae from incidence of feeding on leaves of water hyacinth eichhornia crassipes

Kessell S.R.; Fischer W.C., 1981: Predicting post fire plant succession for fire management planning

Zagoren A.J.; Burday M.; Sonn R.L.; Cody R.; Silverman D., 1983: Predicting post operative complications by determinations of serum albumin total lymphocyte count and total neutrophil count

Hooley R.; Levine H.; Flores T.C.; Wheeler T.; Steiger E., 1983: Predicting post operative head and neck complications using nutritional assessment the prognostic nutritional index

Gordon R.E.; Gordon K.K.; Gordon Hardy L.; Hursch C.J.; Reed K.G., 1986: Predicting postnatal emotional adjustment with psychosocial and hormonal measures in early pregnancy

Bergman A.; Koonings P.P.; Ballard C.A., 1988: Predicting postoperative urinary incontinence development in women undergoing operation for genitourinary prolapse

Autio, W. R.; Bramlage, W. J.; Weis, S. A., 1986: Predicting poststorage disorders of cultivars cox's orange pippin and bramley's seedling apples by regression equations

Evans R.L.; Bishop D.S., 1987: Predicting poststroke family function a continuing dilemma

Weiss G.H.; Salazar A.M.; Vance S.C.; Grafman J.H.; Jabbari B., 1986: Predicting posttraumatic epilepsy in penetrating head injury

Durdyev A.M.; Orlovskii N.S., 1986: Predicting potential evaporation on the territory of soviet central asia

Fralish J.S., 1988: Predicting potential stand composition from site characteristics in the shawnee hills forest of illinois usa

Ladd, G. W.; Price, J. M.; Hart, C. H., 1988: Predicting preschoolers' peer status from their playground behaviors

Wise H.E.Jr; Fahrenthold P.D., 1981: Predicting priority pollutants from petrochemical processes

Cuneo D.J.; Brelje T.B., 1984: Predicting probability of attaining fitness to stand trial

Cadman D.; Walter S.D.; Chambers L.W.; Ferguson R.; Szatmari P.; Johnson N.; Mcnamee J., 1988: Predicting problems in school performance from preschool health developmental and behavioral assessments

Young K.E.; Steffe J.F., 1985: Predicting product lethality in hydrostatic retorts

Plum, F.; Levy, D. E., 1978: Predicting prognosis in coma can one improve medical decisions

Sherlock, S., 1976: Predicting progression of acute type b hepatitis to chronicity

Bresnick G.H.; Palta M., 1987: Predicting progression to severe proliferative diabetic retinopathy

Wolter R.; Dufour Etienne F.; Henry N., 1987: Predicting protein digestibility by a multienzymatic method comparison with the digestive utilization coefficient in rats

Lewis M.; Feiring C.; Mcguffog C.; Jaskir J., 1984: Predicting psycho pathology in 6 year olds from early social relations

Sivakumar M.V.K., 1988: Predicting rainy season potential from the onset of rains in southern sahelian and sudanian climatic zones of west africa

Miller D.J.; Beck N.C.; Fraps C., 1984: Predicting re hospitalization at a community mental health center a double crossed validation

Shieh W.K.; Sutton P.M.; Kos P., 1981: Predicting reactor biomass concentration in a fluidized bed system

Blaha J., 1982: Predicting reading and arithmetic achievement with measures of reading attitudes and cognitive styles

Jenkins P.F.; Benfield G.F.A.; Smith A.P., 1981: Predicting recovery from acute severe asthma

Tappeiner J.C.II; Harrington T.B.; Walstad J.D., 1984: Predicting recovery of tanoak lithocarpus densiflorus and pacific madrone arbutus menziesii after cutting or burning

Evans G.T.; Rice J.C., 1988: Predicting recruitment from stock size without the mediation of a functional relation

Winkel P.; Bentzon M.W.; Statland B.E.; Mouridsen H.; Sheike O., 1982: Predicting recurrence in patients with breast cancer from cumulative laboratory results a new technique for the application of time series analysis

Beaty T.H.; Maestri N.E.; Meyers D.A.; Murphy E.A., 1987: Predicting recurrence risks under epistatic models

Lebedev V.V.; Kholodov S.A.; Platonova T.K.; Shelkovskii V.N.; Krylov V.V., 1986: Predicting recurrent hemorrhages from ruptured arterial aneurysms in the acute period of their rupture

Perala D.A., 1985: Predicting red pine pinus resinosa shoot growth using growing degree days

Ferguson D.E.; Stage A.R.; Boyd R.J., 1986: Predicting regeneration in the grand fir cedar hemlock ecosystem of the northern rocky mountains

Hittelman W.N.; Broussard L.C.; Dosik G.; Mccredie K.B., 1980: Predicting relapse of human leukemia by means of premature chromosome condensation

Bishop E.C.; Popendorf W.; Hanson D.; Prausnitz J., 1982: Predicting relative vapor ratios for organic solvent mixtures

Helms J.A.; Standiford R.B., 1985: Predicting release of advance reproduction of mixed conifer species in california usa following overstory removal

Namkung E.; Stratton R.G.; Rittmann B.E., 1983: Predicting removal of trace organic compounds by bio films

De Vivo M.J.; Fine P.R., 1986: Predicting renal calculus occurrence in spinal cord injury patients

Myers E.D., 1988: Predicting repetition of deliberate self harm a review of the literature in the light of a current study

Riffkin G.G.; Dobson C., 1979: Predicting resistance of sheep to haemonchus contortus infections

Armstrong, D.; Van-Wormer, D. E.; Gideon, W. P., 1976: Predicting respiratory distress by thin layer chromatography of the new born gastric aspirate

Hittelman, W. N.; Rao, P. N. , 1978: Predicting response or progression of human leukemia by premature chromosome condensation of bone marrow cells

Lovallo W.R.; Pincomb G.A.; Wilson M.F., 1986: Predicting response to a reaction time task heart rate reactivity compared with type a behavior

Simons A.D.; Lustman P.J.; Wetzel R.D.; Murphy G.E., 1985: Predicting response to cognitive therapy of depression the role of learned resourcefulness

Reizenstein P.; Giannoulis N.E.; Johansson O.O., 1980: Predicting response to combination chemo therapy in acute myelo blastic leukemia a way to individualize treatment

Horowitz, K. B.; Mcguire, W. L.; Pearson, O. H.; Segaloff, A., 1975: Predicting response to endocrine therapy in human breast cancer a hypothesis

Cartwright R.D., 1985: Predicting response to the tongue retaining device for sleep apnea syndrome

Dimsdale J.E.; Hutter A.M.Jr; Gilbert J.; Hackett T.P.; Block P.C.; Catanzano D.M., 1979: Predicting results of coronary angiography

Dintenfass L.P.; Bartell D.P.; Scott M.A., 1987: Predicting resurgence of western flower thrips thysanoptera thripidae on onions after insecticide application in the texas high plains

Meyers C.E.; Nihira K.; Mink I.T., 1984: Predicting retarded students short term growth from home environment

Ronnevik P.K., 1988: Predicting return to work after acute myocardial infarction significance of clinical data exercise test variables and beta blocker therapy

Sheikh K., 1986: Predicting risk among non respondents in prospective studies

Lechtig A., 1988: Predicting risk of delivering low birthweight babies which indicator is better

Rabkin, S. W.; Mathewson, F. A. L.; Tate, R. B., 1978: Predicting risk of ischemic heart disease and cerebro vascular disease from systolic and diastolic blood pressures

Poe R.H.; Kallay M.C.; Wicks C.M.; Odoroff C.L., 1984: Predicting risk of pneumo thorax in needle biopsy of the lung

Romkens, M. J. M.; Miller, R. D., 1971: Predicting root size and frequency from 1 dimensional consolidation data a mathematical model

Engstrom Heg R.; Colesante R.T., 1979: Predicting rotenone degradation in lakes and ponds

Tanaka H., 1986: Predicting running velocity at blood lactate threshold from running performance tests in adolescent boys

Moore I.D.; Coltharp G.B.; Sloan P.G., 1983: Predicting runoff from small appalachian watersheds usa

Ahuja, L. R.; Dangler, E. W.; El-Swaify, S. A., 1976: Predicting runoff initiation times under field conditions in tropical hawaii soils

Kapoor A.K.; Pal R., 1986: Predicting salinization and sodification of a bare sandy loam soil after irrigation with poor quality water interspersed with rain

Taylor D.H.; Blake G.R., 1984: Predicting sand content of modified soil mixtures from sand soil and peat properties

Buhyoff G.J.; Wellman J.D.; Daniel T.C., 1982: Predicting scenic quality for mountain pine beetle dendroctonus ponderosae and western spruce budworm choristoneura occidentalis damaged forest vistas

Lichtenstein R., 1984: Predicting school performance of preschool children from parent reports

Schumm W.R.; Figley C.R.; Fuhs N.N., 1981: Predicting self disclosure anxiety in the marital relationship

Briere J., 1987: Predicting self reported likelihood of battering attitudes and childhood experiences

Martens M.; Rosenfeld H.J.; Russwurm H.Jr, 1985: Predicting sensory quality of carrots from chemical physical and agronomical variables a multivariate study

Majerus T.C.; Caplan E.S., 1980: Predicting serum gentamicin levels in adult trauma patients

Higuchi S.; Fukuoka R.; Aoyama T.; Horioka M., 1988: Predicting serum lithium concentration using bayesian method a comparison with other methods

Ogunmekan A.O., 1979: Predicting serum vitamin e concentrations from the age of normal and anti convulsant drug treated epileptic children using regression equations

Anderson R.L.; Cost N.D.; Mcclure J.P.; Ryan G., 1986: Predicting severity of fusiform rust in young loblolly pinus taeda and slash pine pinus elliottii var elliottii stands in florida georgia and the carolinas usa

Simko V.; Kelley R.E.; Dincsoy H.P., 1985: Predicting severity of liver disease twelve laboratory tests evaluated by multiple regression

Connolly J.P., 1985: Predicting single species toxicity in natural water systems

Golden M.S.; Meldahl R.; Knowe S.A.; Boyer W.D., 1981: Predicting site index for old field loblolly pine pinus taeda plantations

Brown, H. G.; Loewenstein, H., 1978: Predicting site productivity of mixed conifer stands in northern idaho usa from soil and topographic variables

Mason R.R.; Overton W.S., 1983: Predicting size and change in nonoutbreak populations of the douglas fir tussock moth orgyia pseudotsugata lepidoptera lymantriidae

Meyers D.A.; Freidhoff L.R.; Marsh D.G., 1986: Predicting skin test sensitivity and total serum immunoglobulin e levels in family members

Kushla J.D.; Fisher R.F., 1980: Predicting slash pine pinus elliottii var elliottii response to nitrogen and phosphorus fertilization

Beck K.H.; Davis C.M., 1980: Predicting smoking intentions and behaviors from attitudes normative beliefs and emotional arousal

Barabanov A.T., 1986: Predicting snowmelt runoff in the southern central nonchernozem zone of the russian sfsr ussr

Siyag R.S.; Lamba M.S.; Pal R.; Poonia S.R., 1988: Predicting sodification of calcium saturated soil columns on leaching with sodic waters

Pal R.; Siyag R.S.; Poonia S.R., 1984: Predicting sodification of soil following irrigation with saline sodic water

Mital D.; Sucoff E., 1983: Predicting soil moisture depletion beneath trembling aspen populus tremuloides

Gupta S.C.; Larson W.E.; Allmaras R.R., 1984: Predicting soil temperature and soil heat heat flux under different tillage surface residue conditions

Epshtein, N. A.; Nizhnii, S. V., 1979: Predicting solubility during screening of biologically active compounds 1. setting a task ways of solving it

Epshtein, N. A.; Nizhnii, S. V., 1979: Predicting solubility under conditions of screening of biologically active compounds 3. water solubility and van der waals volume of molecules

Park Y.W.; Anderson M.J.; Asay K.H.; Mahoney A.W., 1983: Predicting soluble nitrogen and fibrous fractions in crested wheat grass with near ir reflectance spectroscopy

Singh T.; Kalra Y.P., 1984: Predicting solute yields in the natural waters of a subalpine system in alberta canada

Wallick M.M.; Thompson B., 1981: Predicting special needs from information available at birth

Yoshioka P.; Thornton A.R., 1980: Predicting speech discrimination from the audiometric thresholds

Rosen P.R.; Lasher J.C.; Weiland F.L.; Kopp D.T., 1982: Predicting splenic abnormality in hodgkins disease using volume response to epinephrine administration

Geers A.E.; Moog J.S., 1987: Predicting spoken language acquisition of profoundly hearing impaired children

Ivanov V.D., 1982: Predicting spring soil erosion on arable slopes

Greene P.R., 1986: Predicting sprint dynamics from maximum velocity measurements

Donat D.C., 1983: Predicting state anxiety a comparison of multi dimensional and uni dimensional trait approaches

Plutchok G.J.; Kokini J.L., 1986: Predicting steady and oscillatory shear rheological properties of carboxymethylcellulose and guar gum blends from concentration and molecular weight data

Kokini J.L.; Plutchok G.J., 1987: Predicting steady and oscillatory shear rheological properties of cmc guar blends using the bird carreau constitutive model

Kokini J.L.; Bistany K.L.; Mills P.L., 1984: Predicting steady shear and dynamic viscoelastic properties of guar and carrageenan using the bird carreau constitutive model

Golinko B.E.; Rennick P.M.; Lewis R.F., 1981: Predicting stimulant effectiveness in hyperactive children with a repeatable neuro psychological battery a preliminary study

Dergunov I.D.; Moroz V.D.; Ryabova G.V., 1982: Predicting strontium 90 accumulation in agricultural crops using some physical chemical soil properties

Venkateswara Rao M.; Katpatal B.G.; Bisht G.S., 1980: Predicting succeeding complete lactation from the part records of a preceding lactation

Buhmeyer, K. J.; Johnson, A. H., 1978: Predicting success in a physician extender training program

Abramson, E. E.; Sequest, R. C., 1978: Predicting success in a smoking control program

De Pace N.L.; Nestico P.F.; Schwartz A.B.; Mintz G.S.; Schwartz J.S.; Kotler M.N.; Swartz C., 1984: Predicting success of intensive dialysis in the treatment of uremic peri carditis

Smith G.B.; Wilson G.R.; Curry C.H.; May S.N.; Arthurson G.M.; Robinson D.A.; Cross G.D., 1988: Predicting successful brachial plexus block using changes in skin electrical resistance

Schreiber F.M.; Schauble P.G.; Epting F.R.; Skovholt T.M., 1979: Predicting successful weight loss after treatment

Blake Haskins J.C.; Scala D.; Rhein L.D.; Robbins C.R., 1986: Predicting surfactant irritation from the swelling response of a collagen film

Bonita R.; Ford M.A.; Stewart A.W., 1988: Predicting survival after stroke a three year follow up

Hutchinson T.A.; Thomas D.C.; Macgibbon B., 1982: Predicting survival in adults with end stage renal disease an age equivalence index

Fredrickson W.T.; Bowers C.L., 1981: Predicting survival of infant pig tailed macaques macaca nemestrina at 30 days by the assessment of background maternal and infant variables

Shapiro Y.; Pandolf K.B.; Goldman R.F., 1982: Predicting sweat loss response to exercise environment and clothing

Engsberg J.R.; Grimston S.K.; Wackwitz J.H., 1988: Predicting talocalcaneal joint orientations from talocalcaneal talocrural joint orientations

Miles, M. K., 1978: Predicting temperature trend in the northern hemisphere to the year 2000

De-Reinick, A. R.; Schwartzberg, H., 1986: Predicting temperature vs. time behavior during the freezing and thawing of rectangular foods

Gupta S.C.; Radke J.K.; Larson W.E., 1981: Predicting temperatures of bare and residue covered soils with and without a corn zea mays crop

Gupta S.C.; Radke J.K.; Larson W.E.; Shaffer M.J., 1982: Predicting temperatures of bare soil and residue covered soil from daily maximum and minimum air temperatures

Prits A.K.; Vankevich M.M., 1981: Predicting the absolute size of fish populations in a stationary environment

Solominova T.S.; Maksimov G.G.; Semenov V.A., 1984: Predicting the acute toxicity of organic compounds on the basis of pattern recognition methods

Gossett R.W.; Brown D.A.; Young D.R., 1983: Predicting the bio accumulation of organic compounds in marine organisms using octanol water partition coefficients

Landrum P.F.; Reinhold M.D.; Nihart S.R.; Eadie B.J., 1985: Predicting the bioavailability of organic xenobiotics to pontoporeia hoyi in the presence of humic and fulvic materials and natural dissolved organic matter

Singh B.; Szeicz G., 1980: Predicting the canopy resistance of a mixed hardwood forest

Peterson, J. E.; Stewart, R. D., 1975: Predicting the carboxy hemo globin levels resulting from carbon mon oxide exposures

Rosenkranz H.S., 1987: Predicting the carcinogenic potential of environmental nitropyrenes

Ennever F.K.; Rosenkranz H.S., 1986: Predicting the carcinogenicity of the aromatic amine derivatives testes in the second uk environmental mutagen society collaborative study

Bachmann K.A.; Schwartz J.I.; Jauregui L., 1988: Predicting the ciprofloxacin theophylline interaction from single plasma theophylline measurements

Brett A.S.; Rothschild N.; Gray R.; Perry M., 1987: Predicting the clinical course in intentional drug overdose implications for use of the intensive care unit

Nance S.J.; Arndt P.; Garratty G., 1987: Predicting the clinical significance of red cell alloantibodies using a monocyte monolayer assay

Light R.W.; Adler P.H., 1983: Predicting the colonization cycle of aquatic invertebrates

Khramov V.V.; Shustrov N.I.; Bobkov A.S., 1982: Predicting the concentration limits of vapor inflammation in the air of some aliphatic alcohols and esters as well as their inflammation range in air diluted with nitrogen or carbon di oxides

Vaishtein S.G.; Shust Z.I., 1984: Predicting the course and outcomes of peptic ulcer of the body of the stomach

Martin A.J.; Landau L.I.; Phelan P.D., 1982: Predicting the course of asthma in children

Turbina, N. S., 1977: Predicting the course of hypoplastic anemia

Graham G.D.; Lundy M.M.; Frederick R.J.; Berger D.E.; O'brien A.W.; Brown T.J., 1983: Predicting the cure of osteo myelitis under treatment

Smith R.B., 1985: Predicting the dates of 1st commercial harvest of selected ontario canada peach cultivars

Gallery, E. D. M.; Ross, M.; Hunyor, S. N.; Gyory, A. Z., 1977: Predicting the development of pregnancy associated hypertension the place of standardized blood pressure measurement

Reid W.; Dinkins R.L.; Harris M.K., 1984: Predicting the development of the pecan nut casebearer acrobasis nuxvorella in southeastern kansas usa

Solopov N.V., 1985: Predicting the development rate and number of population of oedemagena tarandi and cephenemyia trompe the parasites of reindeer

Wang L.K.; Wang M.H.; Bergenthal J., 1981: Predicting the dispersion of airborne effluents for environmental management

Sharma N.K.; Routledge P.A.; Rawlins M.D.; Davies D.M., 1982: Predicting the dose of warfarin for therapeutic anti coagulation

Clifft R.C.; Andrews J.F., 1981: Predicting the dynamics of oxygen utilization in the activated sludge process

Dutton, J. A., 1987: Predicting the earth's future

Litvinova N.M.; Kabachenko E.N.; Merenkova V.P., 1986: Predicting the effect of antidepressants in patients with endogenous depressions

Starkel W.M., 1985: Predicting the effect of macrobenthos on the sediment water flux of metals and phosphorus

Dikii N.T., 1982: Predicting the effect of psycho pharmaco therapy in schizophrenics

Rachhpal Singh, 1987: Predicting the effect of soil water air dynamics on ammonia volatilization from applied urea with a mechanistic model

Borgmann U., 1985: Predicting the effect of toxic substances on pelagic ecosystems

Rowan E.L., 1988: Predicting the effectiveness of treatment for pedophilia

Bouma J.; De Laat P.J.M.; Van Holst A.F.; Van De Nes T.J., 1980: Predicting the effects of changing water table levels and associated soil moisture regimes for soil survey interpretations

Aber J.D.; Botkin D.B.; Melillo J.M., 1979: Predicting the effects of different harvesting regimes on productivity and yield in northern hardwoods

Skaggs R.W., 1982: Predicting the effects of drainage systems on corn yield

Lewis, C. H.; Griffin, M. J., 1978: Predicting the effects of dual frequency vertical vibration on continuous manual control performance

Aber J.D.; Melillo J.M.; Federer C.A., 1982: Predicting the effects of rotation length harvest intensity and fertilization on fiber yield from northern hardwood forests in new england usa

Lewis C.H.; Griffin M.J., 1980: Predicting the effects of vibration frequency and axis and seating conditions on the reading of numeric displays

Hafner R.J., 1984: Predicting the effects on husbands of behavior therapy for wives agoraphobia

Nemtsov A.V.; Kalinin V.V.; Zaitsev S.G.; Golikova T.I., 1982: Predicting the efficacy of pharmaco therapy for acute schizophrenia patients based on correlation and regression analysis of clinical and electro encephalographic indices

Schwartz, H. M.; Wu, W. S.; Marr, P. W.; Jones, J. B., 1978: Predicting the enantiomeric selectivity of chymotrypsin ec 3.4.21.1 homologous series of ester substrates

Dharmarajah, A. H.; Cleasby, J. L., 1986: Predicting the expansion behavior of filter media

Berthe C.; Pierard L.A.; Hiernaux M.; Trotteur G.; Lempereur P.; Carlier J.; Kulbertus H.E., 1986: Predicting the extent and location of coronary artery disease in acute myocardial infarction by echocardiography during dobutamine infusion

Jones B.M., 1985: Predicting the fate of free tissue transfers

Kirton A.H.; Woods E.G.; Duganzich D.M., 1984: Predicting the fatness of lamb carcasses from carcass wall thickness measured by ruler or by a total depth indicator probe

Kononov K.E.; Rozenberg G.S., 1981: Predicting the hay yield according to hydro meteorological factors by self organization

Gavrikov K.V.; Savina L.A., 1986: Predicting the health status of elderly people on the basis of hemodynamic reaction to physical load

Pechhacker, H., 1976: Predicting the honeydew flow of physokermes hemicryphus homoptera coccidae on the spruce fir picea excelsa

Mast T.J.; Cukierski M.A.; Nau H.; Hendrickx A.G., 1986: Predicting the human teratogenic potential of the anticonvulsant valproic acid from a non human primate model

Grant, R. K., 1978: Predicting the impact of silvicultural treatment on the wood characteristics of pinus radiata

Toledo, J. F. F. D., 1987: Predicting the inbreeding and the outcrossing potential of soybean glycine max l. merrill varieties

Schmidt R.A.; Squillace A.E.; Swindel B.F., 1979: Predicting the incidence of fusiform rust in 5 year old to 10 year old slash pine pinus elliottii and loblolly pine pinus taeda plantations

Turpin D.H.; Miller A.G.; Parslow J.S.; Elrifi I.R.; Canvin D.T., 1985: Predicting the kinetics of dissolved inorganic carbon limited growth from the short term kinetics of photosynthesis in synechococcus leopoliensis cyanophyta

Panzer R.J.; Feibel J.H.; Barker W.H.; Griner P.F., 1985: Predicting the likelihood of hemorrhage in patients with stroke

Orsini J.P.G.; Arnold G.W., 1986: Predicting the liveweight changes of sheep grazing wheat stubbles in a mediterranean environment

Mcintosh J.E.A.; Matthews C.D.; Crocker J.M.; Broom T.J.; Cox L.W., 1980: Predicting the luteinizing hormone surge relationship between the duration of the follicular and luteal phases and length of the human menstrual cycle

Eckhoff S.R.; Black L.T.; Anderson R.A., 1982: Predicting the moisture isotherm for corn soy milk from individual component moisture isotherms and their possible effects on storage stability

Anghinoni I.; Barber S.A., 1980: Predicting the most efficient phosphorus placement for corn zea mays

Jovellanos C.L.; Gaskin D.E., 1983: Predicting the movements of juvenile atlantic herring clupea harengus harengus in the southwest bay of fundy usa canada using computer simulation techniques

Hill, J. D., 1976: Predicting the natural drying of hay

Galbraith S.; Teasdale G., 1981: Predicting the need for operation in the patient with an occult traumatic intra cranial hematoma

Peters R.M.; Brimm J.E.; Utley J.R., 1979: Predicting the need for prolonged ventilatory support in adult cardiac patients

Nommik, H., 1976: Predicting the nitrogen supplying power of acid forest soils from data on the release of carbon di oxide and ammonia on partial oxidation

Prokhorov A.F., 1983: Predicting the northern border of the area of distribution of strongyloidosis within a climate zone

Ryu, H. S.; Lee, K. W., 1986: Predicting the nutritional value of seafood proteins as measured by newer in vitro model 2. computed protein efficiency ratio and discriminant computed protein efficiency ratio of marine crustacea

Bramlage W.J.; Weis S.A.; Drake M., 1985: Predicting the occurrence of poststorage disorders of cultivar mcintosh apples from preharvest mineral analyses

Michel J.; Cothern C.R., 1986: Predicting the occurrence of radium 228 in ground water

Wallace J., 1985: Predicting the onset of compulsive drinking in alcoholics a biopsychosocial model

Luton M.T.; Hamer P.J.C., 1983: Predicting the optimum harvest dates for apples using temperature and full bloom records

Allen C.M.C., 1984: Predicting the outcome of acute stroke a prognostic score

Hafner R.J.; Ross M.W., 1983: Predicting the outcome of behavior therapy for agoraphobia

Kamalov I.I.; Tinchurina S.G., 1981: Predicting the outcome of closed uncomplicated injuries to the cervical part of the vertebral column in patients who have received conservative treatment

Allen D.G.; Kent A.P., 1987: Predicting the outcome of labor

Luborsky L.; Mintz J.; Auerbach A.; Christoph P.; Bachrach H.; Todd T.; Johnson M.; Cohen M.; O'brien C.P., 1980: Predicting the outcome of psycho therapy findings of the university of pennsylvania philadelphia pennsylvania usa psycho therapy project

Isomaki H.; Martio J.; Sarna S.; Kiviniemi P.; Akimova T.; Ievleva L.; Mylov N.; Trofimova T., 1984: Predicting the outcome of rheumatoid arthritis a soviet finnish cooperative study

Ward J.; Parmenter T.R.; Riches V.; Hauritz M., 1981: Predicting the outcomes of a work preparation program

Morgan R.; Luborsky L.; Critis Christoph P.; Curtis H.; Solomon J., 1982: Predicting the outcomes of psycho therapy by the penn helping alliance rating method

Ployushcheva G.L.; Yarotskii L.S.; Gerasimov I.V., 1986: Predicting the parasitological situation for areas located near water storage basins

Keller C., 1986: Predicting the performance of daily activities of patients with chronic lung disease

Firsov A.A.; Umnova L.V.; Danilova V.I.; Fomina I.P., 1988: Predicting the pharmacokinetic profiles of doxycycline in humans by the results of studies in animals

Giercuszkiewicz Bajtlik E.G., 1982: Predicting the pollution of great masurian lakes poland from point and nonpoint sources

Toledo J.F.F.D.; Miranda Filho J.B.D., 1985: Predicting the potential of open pollinating populations for the production of superior f 1 hybrids

Malvestuto S.P.; Davies W.D.; Shelton W.L., 1979: Predicting the precision of creel survey estimates of fishing effort by use of climatic variables

Abbasi R.; Hodgen G.D., 1986: Predicting the predisposition to osteoporosis gonadotropin releasing hormone antagonist for acute estrogen deficiency test

Boer Meisel M.E.; Te Velde E.R.; Habbema J.D.F.; Kardaun J.W.P.F., 1986: Predicting the pregnancy outcome in patients treated for hydrosalpinx a prospective study

Zotov E.P.; Altymyshev A.A., 1980: Predicting the pressor activity of certain phenethylamine derivatives using the pattern recognition method a theoretical analysis

Dwyer R.W., 1986: Predicting the pressure drops across cellulose acetate filters

Minkevich I.I.; Annamukhamedov A., 1984: Predicting the principal cotton diseases in the turkmen ssr ussr

Fan K.; Peng C F., 1983: Predicting the probability of bone metastasis through histological grading of prostate carcinoma a retrospective correlative analysis of 81 autopsy cases with ante mortem trans urethral resection specimen

Poutrel B.; Rainard R., 1982: Predicting the probability of quarter infection by major pathogens from somatic cell concentration

Kaukinen L.; Pasanen M.; Kaukinen S.; Ojanen R., 1984: Predicting the prognosis with trauma indices in surgical patients treated in the intensive care unit

Pooni H.S.; Jinks J.L., 1985: Predicting the properties of 1st cycle inbreds and 2nd cycle hybrids extractable from 2 3 and 4 parent crosses

De Toledo J.F.F.; Pooni H.S.; Jinks J.L., 1984: Predicting the properties of 2 cycle hybrids produced by intercrossing random samples of recombinant inbred lines

Pooni H.S.; Jinks J.L.; Yohannes D., 1985: Predicting the properties of random inbreds and 2nd cycle hybrids using progeny families and hierarchical selfs of a 4 parent cross

Pooni, H. S.; Jinks, J. L., 1978: Predicting the properties of recombinant inbred lines derived by single seed descent for 2 or more characters simultaneously

Shusterman L.R., 1979: Predicting the psychological consequences of abortion

Chuang T.Y.; Jeger M.J., 1987: Predicting the rate of development of black sigatoka mycosphaerella fijiensis var difformis disease in southern taiwan

Gantzer C.J.; Kollig H.P.; Rittman B.E.; Lewis D.L., 1988: Predicting the rate of trace organic compound removal by natural biofilms

Troxler, R. W.; Thackston, E. L., 1977: Predicting the rate of warming of rivers below hydro electric installations

Liao M.Y.; Randtke S.J., 1986: Predicting the removal of soluble organic contaminants by lime softening

Myers E.D., 1988: Predicting the response of depressed patients to biological treatment the dexamethasone suppression test versus clinical judgment

Rudman D.; Kutner M.H.; Goldsmith M.A.; Blackston R.D., 1979: Predicting the response of growth hormone deficient children to long term treatment with human growth hormone

Griffin T.W.; Pajak T.F.; Gillespie B.W.; Davis L.W.; Brady L.W.; Rubin P.; Marcial V.A., 1984: Predicting the response of head and neck cancers to radiation therapy with a multi variate modeling system an analysis of the radiation therapy and oncology group head and neck registry

Lam S.; Muller N.L.; Miller R.R.; Kostashuk E.C.; Szasz I.J.; Leriche J.C.; Lee Chuy E., 1986: Predicting the response of obstructive endobronchial tumors to photodynamic therapy

Doyle C.J.; Ridout M.S.; Morrison J.; Edwards C., 1986: Predicting the response of perennial ryegrass to fertilizer nitrogen in relation to cutting interval climate and soil

Hill D.J.; Shelton M.J.; Hosking C.S., 1982: Predicting the results of allergen bronchial challenge by simple clinical methods

Kolman P.B.R., 1985: Predicting the results of routine laboratory tests in elderly psychiatric patients admitted to hospital

Konovalov Yu B.; Konovalova I.M., 1981: Predicting the results of selection from dense and thinned spring wheat stands based on studies of model populations

Leggett R.W., 1986: Predicting the retention of cesium in individuals

Trotter M.C.; Cloud G.A.; Davis M.; Sanford S.P.; Urist M.M.; Soong S J.; Halpern N.B.; Maddox W.A.; Balch C.M., 1985: Predicting the risk of abdominal disease in hodgkins lymphoma a multifactorial analysis of staging laparotomy results in 255 patients

Qian, N; Sejnowski, Tj, 1988: Predicting the secondary structure of globular proteins using neural network models

Young A.L.; Travina R., 1983: Predicting the setting season of the oyster crassostrea iredalei in himalayan river negros occidental philippines

Gibson D.M., 1985: Predicting the shelf life of packaged fish from conductance measurements

Grippa L.M., 1987: Predicting the size of the population of abundant pests based on the trend of the population dynamics and critical periods in the life cycle of the species

Wilson D.J.; Robins A.G.; Fackrell J.E., 1982: Predicting the spatial distribution of concentration fluctuations from a ground level source

Karaivanova M.Kh; Kasabov N.K.; Khristov I.S., 1983: Predicting the spectrum of action for anti tumor preparations

Kirkwood, T. B. L., 1977: Predicting the stability of biological standards and products

Griffin C.W.; Cook E.C.; Mehaffey M.A., 1981: Predicting the stability of freeze dried fusobacterium mortiferum proficiency testing samples by accelerated storage tests

Vlasenko V.S.; Konchicheva A.G., 1985: Predicting the stability of the productivity of winter wheat based on its morphophysiological characters

Dejong G.; Branch L.G., 1982: Predicting the stroke patients ability to live independently

Hiramatsu K.; Griffin M.J., 1984: Predicting the subject response to nonsteady vibration based on the summation of subjective magnitude

Walker P.M.; Johnston K.W., 1980: Predicting the success of a sympathectomy a prospective study using discriminant function and multiple regression analysis

Murphy, S. B.; Donderi, D. C., 1980: Predicting the success of cataract surgery

Vignos P.J.Jr; Wagner M.B.; Kaplan J.S.; Spencer G.E.Jr, 1983: Predicting the success of re ambulation in patients with duchenne muscular dystrophy

Zabransky R.J.; Birk R.J.; Kurzynski T.A.; Toohey K.L., 1986: Predicting the susceptibility of anaerobes to cefoperazone cefotaxime and cefoxitin with the thioglycolate broth disk procedure

Baldwin J., 1988: Predicting the swimming and diving behavior of penguins from muscle biochemistry

Kokini J.L.; Cussler E.L., 1983: Predicting the texture of liquid and melting semi solid foods

Iovlev B.V.; Kharitonov R.A.; Chelyshev M.M., 1982: Predicting the therapeutic effect of treating petit mal forms of epilepsy in children by using the pattern recognition method

Ba Angood S.A.; Stewart R.K., 1980: Predicting the time of cereal aphid population peaks on small grain crops in southwestern quebec canada

Frazer B.D.; Raworth D.A., 1984: Predicting the time of hatch of the strawberry aphid chaetosiphon fragaefolii homoptera aphididae

Rhee K.J.; Burney R.E.; Flora J.; Mackenzie J.R., 1984: Predicting the utilization of helicopter emergency medical services an approach based on need

Rudstam L.G.; Magnuson J.J., 1985: Predicting the vertical distribution of fish populations analysis of cisco coregonus artedii and yellow perch perca flavescens

Chuang, L.; Toledo, R. T., 1976: Predicting the water activity of multi component systems from water sorption isotherms of individual components

Haverkamp, R.; Parlange, J. Y., 1986: Predicting the water retention curve from particle size distribution 1. sandy soils without organic matter

Yablonskikh P.M., 1987: Predicting the working capacity of epileptic patients on the basis of follow up studies

Armitage J.O.; Dick F.R.; Corder M.P.; Garneau S.C.; Platz C.E.; Slymen D.J., 1982: Predicting therapeutic outcome in patients with diffuse histiocytic lymphoma treated with cyclo phosphamide adriamycin vincristine and prednisone

Schmidt S.K.; Alexander M.; Shuler M.L., 1985: Predicting threshold concentrations of organic substrates for bacterial growth

Brady J.A.; Johnson P., 1981: Predicting times of travel dispersion and peak concentrations of pollution incidents in streams

Mcatee, J. W.; Oefinger, R. D.; Scifres, C. J., 1978: Predicting top growth yield of gulf cord grass from basal diameter and volume measurements

Nicklow C.W.; Norvell W.A.; Spittler T., 1981: Predicting total soil lead from an acetic acid sodium acetate buffered solution

Laughlin R.B.Jr; French W.; Johannesen R.B.; Guard H.E.; Brinckman F.E., 1984: Predicting toxicity using computed molecular topologies the example of tri organo tin compounds

Siyag R.S.; Pal R.; Poonia S.R.; Baruah T.C., 1984: Predicting transport of 3 cations in soil columns under conditions of steady state flow in india

Funch D.P.; Gale E.N., 1986: Predicting treatment completion in a behavioral therapy program for chronic temporomandibular pain

Craig R.J.; Rogalski C.; Veltri D., 1982: Predicting treatment dropouts from a drug abuse rehabilitation program

Westermeyer J.; Neider J., 1984: Predicting treatment outcome after 10 years among american indian alcoholics

Kleinke C.L.; Spangler A.S.Jr, 1988: Predicting treatment outcome of chronic back pain patients in a multidisciplinary pain clinic methodological issues and treatment implications

Holdaway I.M.; Skinner S.J.M., 1981: Predicting treatment response in breast cancer using urinary discriminant ratio and receptor assay

Dworkin R.H.; Richlin D.M.; Handlin D.S.; Brand L., 1986: Predicting treatment response in depressed and non depressed chronic pain patients

Sibbald I.R.; Barrette J.P.; Price K., 1980: Predicting true metabolizable energy gross energy carbohydrate and proximate analysis values by assuming additivity

Klirs E.G.; Revelle W., 1986: Predicting variability from perceived situational similarity

Montgomery R.H.; Lee V.D.; Reckhow K.H., 1983: Predicting variability in a lake ontario usa canada phosphorus model

Garrison W.T., 1984: Predicting violent behavior in psychiatrically hospitalized boys

Shipp T.; Doherty E.T.; Morrissey P., 1979: Predicting vocal frequency from selected physiologic measures

Carsrud A.L.; Carsrud K.B.; Dodd B.G.; Thompson M.; Gray W.K., 1981: Predicting vocational aptitude of mentally retarded persons a comparison of assessment systems

Dobrzanski S., 1983: Predicting warfarin dosage

Kayumov M.K., 1983: Predicting water consumption and irrigation regime for maize in the northern caucasus russian sfsr ussr

Craft D., 1985: Predicting water quality data in an unfilled reservoir using microcosm sediment water simulation

Juhnke S.R.; Fuggle R.F., 1987: Predicting weather for prescribed burns in the south western cape republic of south africa

Hiltonsmith R.W.; Hayman P.M.; Kleinman P., 1984: Predicting wechsler adult intelligence scale revised scores from the revised beta for low functioning minority group offenders

Retzlaff P.; Slicner N.; Gibertini M., 1986: Predicting wechsler adult intelligence scale revised scores from the shipley institute of living scale in a homogeneous sample

Dodd D.K., 1987: Predicting weight gain in young adults

Flammer A.; Kaiser H.; Mueller Bouquet P., 1981: Predicting what questions people ask

Steinglass P.; Grantham C.E.; Hertzmann M., 1980: Predicting which patients will be discharged against medical advice a pilot study

Rubin D.C.; Friendly M., 1986: Predicting which words get recalled measures of free recall availability goodness emotionality and pronounceability for 925 nouns

Singer M.G.; Vance B.; Brenner O.C., 1983: Predicting wide range achievement test scores from the wechsler intelligence scale for children revised for a selected sample of learning disabled children and youth

Rosenberg, L. J.; Magor, J. I., 1987: Predicting windborne displacements of the brown planthopper nilaparvata lugens from synoptic weather data 1. long distance displacements in the northeast monsoon

Fiedler R.J.; Sander D.H.; Peterson G.A., 1987: Predicting winter wheat grain yield response to applied phosphorus with different soil phosphorus tests and sampling depths

Rosen H.N., 1982: Predicting wood surface moisture content during water vapor sorption

Wight J.R.; Godrey E.B., 1985: Predicting yield response to nitrogen fertilization on northern great plains rangelands usa canada

Barthalmus G.T.; Brinsfield E., 1981: Predicting yolk weight in quail coturnix coturnix japonica eggs

Tesch S.D.; Zuuring H.R., 1983: Predicting young ponderosa pine pinus ponderosa growth in the blackfoot river drainage montana usa

V'yushkova, V. P., 1977: Predicting zoo plankton development in the volgograd reservoir ussr according to years of data

Magnus P.; Berg K.; Nance W.E., 1983: Predicting zygosity in norwegian twin pairs born 1915 1960

Jackson, A. S.; Pollock, M. L., 1977: Prediction accuracy of body density lean body weight and total body volume equations

Heslop Harrison J.S.; Bennett M.D., 1983: Prediction and analysis of spatial order in ha ploid chromosome complements

Vasil'ev, V. K.; Guev, A. A.; Savvin, A. B.; Svirezhev-Yu, M., 1977: Prediction and analysis of the pulse rate of cosmonauts by the method of extrapolation modeling in the class of differential equations

Sikkema D.A.; Rosendahl P.C., 1981: Prediction and assessment of the hydrologic conditions following the restoration of flow within an altered riverine system

Wu M.H.; Fung D.Y.C., 1982: Prediction and characterization of normal and vat failed cottage cheese

Yang X.; Li M.; He J.; Wang H.; Yu Y.; Liu H.; Guo R., 1987: Prediction and comparison of secondary structures and surface probabilities of capsid proteins of reference strains of the three types of poliovirus with computer

Swamy M.J.; Sastry M.V.K.; Surolia A., 1985: Prediction and comparison of the secondary structure of legume lectins

Kazim, A. L.; Atassi, M. Z., 1977: Prediction and confirmation by synthesis of 2 antigenic sites in human hemo globin by extrapolation from the known antigenic structure of sperm whale myo globin

Tazi A.; Dantzer R.; Le Moal M., 1987: Prediction and control of food rewards modulate endogenous pain inhibitory systems

Allday M.J.; Crawford D.H.; Griffin B.E., 1988: Prediction and demonstration of a novel epstein barr virus nuclear antigen

Yang Y S.; Ko T M.; Lee T Y., 1986: Prediction and detection of ovulation a comparison of direct and indirect methods

Bedolla Tovar N.; Landeros J.; Perez Palacios G.; Collins W.P.; Romero C.; Kellie A.E.; Samarajeewa P.; Spieler J., 1986: Prediction and detection of ovulation by the measurement of urinary pregnanetriol 3 alpha glucuronide a multicenter study

Brett M.M.; Ghoneim A.T.M.; Littlewood J.M., 1988: Prediction and diagnosis of early pseudomonas aeruginosa infection in cystic fibrosis a follow up study

Nagao S.; Kuyama H.; Honma Y.; Momma F.; Nishiura T.; Murota T.; Suga M.; Tanimoto T.; Kawauchi M.; Nishimoto A., 1987: Prediction and evaluation of brainstem function by auditory brainstem responses in patients with uncal herniation

Gervasio A.H.; Blusewicz M.J., 1988: Prediction and evaluation of everyday memory in neurological patients

Lovelace E.A.; Marsh G.R., 1985: Prediction and evaluation of memory performance by young and old adults

Milner J.S.; Wimberley R.C., 1980: Prediction and explanation of child abuse

Prasad R.B.; Manglik V.P., 1987: Prediction and herdlife milk production and profits in dairy cattle

Lamb J.R.; Rees A.D.M.; Bal V.; Ikeda H.; Wilkinson D.; De Vries R.R.P.; Rothbard J.B., 1988: Prediction and identification of an hla dr restricted t cell determinant in the 19 kda protein of mycobacterium tuberculosis

Narita M.; Ishikawa K.; Chen J Y.; Kim Y., 1984: Prediction and improvement of protected peptide solubility in organic solvents

Whincup G.; Milner R.D.G., 1987: Prediction and management of nocturnal hypoglycemia in diabetes

Mckegney F.P.; Bailey L.R.; Yates J.W., 1981: Prediction and management of pain in patients with advanced cancer

Prottey C.; Oliver D.; Coxon A.C., 1984: Prediction and measurement of surfactant action on human skin under realistic conditions

Pollio M.L.; Kitic D.; Favetto G.J.; Chirife J., 1987: Prediction and measurement of the water activity of selected saturated salt solutions at 5 c and 10 c

Conroy L.M.; Ellenbecker M.J.; Flynn M.R., 1988: Prediction and measurement of velocity into flanged slot hoods

Chen J.; Reineccius G.A.; Labuza T.P., 1986: Prediction and measurement of volatile retention during extrusion processing

Lealman G.T.; Haigh D.; Phillips J.M.; Stone J.; Ord Smith C., 1983: Prediction and prevention of child abuse an empty hope?

Messeter K.; Brandt L.; Ljunggren B.; Svendgaard N.A.; Algotsson L.; Romner B.; Ryding E., 1987: Prediction and prevention of delayed ischemic dysfunction after aneurysmal subarachnoid hemorrhage and early operation

Barrett A.J.; Joshi R.; Kendra J.R.; Philips R.H.; Ashford R.; Shaw P.J.; Hugh Jones K.; Hobbs J.R., 1986: Prediction and prevention of relapse of acute lymphoblastic leukemia after bone marrow transplantation

Kastrup M., 1987: Prediction and profile of the long stay population a nation wide cohort of first time admitted patients

Ladenson P.W.; Goldenheim P.D.; Ridgway E.C., 1988: Prediction and reversal of blunted ventilatory responsiveness in patients with hypothyroidism

Lowe G.D.O.; Osborne D.H.; Mcardle B.M.; Smith A.; Carter D.C.; Forbes C.D.; Mclaren D.; Prentice C.R.M., 1982: Prediction and selective prophylaxis of venous thrombosis in elective gastro intestinal surgery

Fedele L.; Brioschi D.; Dorta M.; Marchini M.; Parazzini F., 1988: Prediction and self prediction of ovulation in clomiphene citrate treated patients

Kunda Z.; Nisbett R.E., 1986: Prediction and the partial understanding of the law of large numbers

Zakarija M.; Mckenzie J.M.; Hoffman W.H., 1986: Prediction and therapy of intrauterine and late onset neonatal hyperthyroidism

Aderman, D.; Bryant, F. B.; Domelsmith, D. E., 1978: Prediction as a means of inducing tolerance

Cohen M.L.; Counts G.W.; Buckner C.D.; Clift R.A.; Meyers J.D.; Murphy M.T., 1983: Prediction by surveillance cultures of bacteremia among neutropenic patients treated in a protective environment

Tsugawa H.; Tange M., 1981: Prediction equation for estimating leaflet area of kudzu vines pueraria lobata

Luchiari Filho A.; Allen D.M., 1987: Prediction equations for estimating carcass yields in nellore and nellore crossbred cattle

Harris E.A.; Whitlock R.M.L., 1983: Prediction equations for fractional carbon mon oxide uptake derived from 50 healthy subjects

Hussain T.; Aggarwal R.K., 1985: Prediction equations for salinity appraisal in saturation extract from soil water extracts of clay loam soils in southern iraq

Takasaki Y.; Kamataki A.; Yamasaki M., 1979: Prediction equations of body density in japanese young men

Koos B.J.; Power G.G., 1987: Prediction fetal brain oxygen partial pressure during hypoxemia and anemia in sheep

Dzionara, M.; Robinson, S. M. L.; Wittmann-Liebold, B., 1977: Prediction for secondary structures of 10 proteins from the 50s subunit of the escherichia coli ribosome/

Crisp D.T., 1988: Prediction from temperature of eyeing hatching and swim up times for salmonid embryos

Becker W.; Fuchs A.F., 1985: Prediction in the oculomotor system smooth pursuit during transient disappearance of a visual target

Stewart A.; Hope P.L.; Hamilton P.; Costello A.M.D.; Baudin J.; Bradford B.; Amiel Tison C.; Reynolds E.O.R., 1988: Prediction in very preterm infants of satisfactory neurodevelopmental progress in 12 months

Urano K.; Omori S.; Yamamoto E., 1982: Prediction method for adsorption capacities of commercial activated carbons in removal of organic vapors

Lokobauer N.; Bauman A.; Kurtanjek Z.; Maracic M., 1987: Prediction model for strontium 90 level in milk

Ung C H.; Beaulieu J.; Demers D., 1982: Prediction model of broad leaved and coniferous species of quebec canada

Pandolf K.B.; Stroschein L.A.; Drolet L.L.; Gonzalez R.R.; Sawka M.N., 1986: Prediction modeling of physiological responses and human performance in the heat

Mital A., 1986: Prediction models for psychophysical lifting capabilities and the resulting physiological responses for work shifts of varied durations

Deckers J.W.; Fioretti P.; Brower R.W.; Baardman T.; Beelen A.; Simoons M.L., 1987: Prediction of 1 year outcome after complicated and uncomplicated myocardial infarction bayesian analysis of predischarge exercise test results in 300 patients

Olsen K.W., 1983: Prediction of 3 dimensional structure of plant lectins from the domains of concanavalin a

Cygler M.; Anderson W.F., 1986: Prediction of 3 dimensional structure of the cro protein from phage 434

Pincus, M. R.; Zimmerman, S. S.; Scheraga, H. A., 1976: Prediction of 3 dimensional structures of enzyme substrate and enzyme inhibitor complexes of lysozyme

Skaracis G.N.; Smith G.A., 1984: Prediction of 3 way top cross sugar beet beta vulgaris hybrid performance

Cohen S.; Parmelee A.H., 1983: Prediction of 5 year stanford binet scores in preterm infants

Webster T.A.; Lathrop R.H.; Smith T.F., 1987: Prediction of a common structural domain in aminoacyl transfer rna synthetases through use of a new pattern directed inference system

Tsutsul'kovskaya M.Ya; Bil'zho A.G.; Orlova V.A.; Vladimirova T.V.; Vasilenko E.V., 1988: Prediction of a favorable outcome for juvenile slowly progressive neurosis like schizophrenia on the basis of a long term follow up

Chou K C., 1985: Prediction of a low frequency mode in bovine pancreatic trypsin inhibitor molecule

Nagano K.; Miyamoto S.; Matsumura M.; Ohtsuki I., 1982: Prediction of a triple stranded coiled coil region in tropo myosin troponin t complex

Mirosh L.W.; Becker W.A.; Spencer J.V.; Verstrate J.A., 1981: Prediction of abdominal fat in broiler chickens gallus gallus domesticus using wing web and humeral feather tract measurements

Collins R.J.; Weeks J.R.; Cooper M.M.; Good P.I.; Russell R.R., 1984: Prediction of abuse liability of drugs using intra venous self administration by rats

Coursol D.H.; Wagner E.E., 1986: Prediction of academic success in a university honors program

Edwards D.A.; Fish S.F.; Lamson M.J.; Lovejoy F.H.Jr, 1986: Prediction of acetaminophen level from clinical history of overdose using a pharmacokinetic model

Gold P.C.; Johnson J.A., 1982: Prediction of achievement in reading self esteem auding and verbal language by adult illiterates in a psycho educational tutorial program

Jonas L.A.; Sansone E.B.; Farris T.S., 1983: Prediction of activated carbon performance for binary vapor mixtures

Jonas L.A.; Sansone E.B., 1986: Prediction of activated carbon performance for sequential adsorbates

Shanghai First Med Coll Hua Shan Hosp Radioisot Dep Renal Transplant Unit, 1979: Prediction of acute renal allo graft rejection by bladder to kidney radioactive ratio

White R.B., 1980: Prediction of adjustment to prison in a federal correctional population

Holinger P.C.; Offer D., 1982: Prediction of adolescent suicide a population model

Chan-Kenneth, K.; Cohen, J. L.; Gross, J. F.; Himmelstein, K. J.; Bateman, J. R.; Tsu-Lee, Y.; Marlis, A. S., 1978: Prediction of adriamycin disposition in cancer patients using a physiologic pharmaco kinetic model

Tanner J.M.; Landt K.W.; Cameron N.; Carter B.S.; Patel J., 1983: Prediction of adult height from height and bone age in childhood a new system of equations tanner whitehouse mark ii based on a sample including very tall and very short children

Lenko H.L., 1979: Prediction of adult height with various methods in finnish children

Walker R.N.; Tanner J.M., 1980: Prediction of adult sheldon somatotypes i and ii from ratings and measurements at childhood ages

Butter E.J.; Jeffcott R.E., 1982: Prediction of adults reading performance as a function of auditory and visual cognitive styles and intelligence

Maj M.; Del Vecchio M.; Starace F.; Pirozzi R.; Kemali D., 1984: Prediction of affective psychoses response to lithium prophylaxis the role of socio demographic clinical psychological and biological variables

Ellison P.T., 1981: Prediction of age at menarche from annual height increments

Jacobs G.H.; Rippey J.J.; Altini M., 1982: Prediction of aggressive behavior in basal cell carcinoma

Cats, G. J.; Holtslag, A. A. M., 1980: Prediction of air pollution frequency distribution 1. the lognormal model

Nieuwstadt, F. T. M., 1980: Prediction of air pollution frequency distribution 2. the gaussian plume model

Dales R.E.; Ernst P.; Hanley J.A.; Battista R.N.; Becklake M.R., 1987: Prediction of airway reactivity from responses to a standardized respiratory symptom questionnaire

Cockcroft D.W.; Murdock K.Y.; Kirby J.; Hargreave F., 1987: Prediction of airway responsiveness to allergen from skin sensitivity to allergen and airway responsiveness to histamine

Martin J.B.; Pihl R.O.; Young S.N.; Ervin F.R.; Tourjman S.V., 1986: Prediction of alexithymic characteristics from physiological personality subjective measures

Griggs T.C.; Stringer W.C., 1988: Prediction of alfalfa herbage mass using sward height ground cover and disk technique

Huettl P.J.; Wendt R.C.; Corey R.B., 1979: Prediction of algal available phosphorus in runoff suspensions

Scearce S.N.; Benninger R.W.; Weber A.S.; Sherrard J.H., 1980: Prediction of alkalinity changes in the activated sludge process

Menotti A.; Conti S.; Dima F.; Giampaoli S.; Giuli B.; Rumi A.; Seccareccia F.; Signoretti P., 1983: Prediction of all causes of death as a function of some factors commonly measured in cardio vascular population surveys

Sloane C.S.; Wolff G.T., 1985: Prediction of ambient light scattering using a physical model responsive to relative humidity validation with measurements from detroit michigan usa


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