EurekaMag Full Text Articles Chapter 16,726

Diop, H.; Keithly, W., R.J.; Kazmierczak, R., F.J.; Shaw, R., F. 2007: Predicting the abundance of white shrimp (Litopenaeus setiferus) from environmental parameters and previous life stages. Fisheries Research 86(1): 31-41

Bordel, S.; Muñoz, R.; Diaz, L.F.; Villaverde, S. 2007: Predicting the accumulation of harmful metabolic byproducts during the treatment of VOC emissions in suspended growth bioreactors. Environmental Science and Technology 41(16): 5875-5881

Corwin, D.; Rhoades, J.; Vaughan, P. 1994: Predicting the areal distribution of a non-point source pollutant at a regional scale. Paper er 1994 (2567 2581)

Nicholls, P.H. 1989: Predicting the availability of soil-applied pesticides. Aspects of Applied Biology (1): 173-186

Weegels, P.L.; Hamer, R.J. 1989: Predicting the baking quality of gluten. Cereal Foods World 34(2): 210-212

Van-Lent, T. 1995: Predicting the behavior of watersheds: the James River as an example. Bulletin (720) 7-8

Andac, C.A.; Andac, M.; Denizli, A. 2007: Predicting the binding properties of cibacron blue F3GA in affinity separation systems. International Journal of Biological Macromolecules 41(4): 430-438

Majumdar, P.; Majumdar, A. 2004: Predicting the breaking elongation of ring spun cotton yarns using mathematical, statistical, and artificial neural network models. Textile research journal 74(7): 652-655

Sauerbeck, D.; Styperek, P. 1984: Predicting the cadmium availability from different soils by CaC1 2-extraction. Processing and use of sewae sludge: proceedings of the third international symposium held at Brighton September 27-30-1983 edited by P L'Hermite and H Ott: 434

Gallian, J.; Peterson, C.; Stanger, C. 1984: Predicting the change in value of sugarbeets for different harvest dates. Current information series Cooperative Extension Service University of Idaho: 84 (747)

Panfilov, V.P. 1975: Predicting the changes in physical properties of soils in connection with the transfer of the river water in the south of western Siberia. Pochvovedenie 8 58-65

Bashir, M.A.; Radke, W. 2007: Predicting the chromatographic retention of polymers: poly(methyl methacrylate)s and polyacryate blends. Journal of Chromatography. a 1163(1-2): 86-95

Saj, T.; Sicotte, P. 2007: Predicting the competitive regime of female Colobus vellerosus from the distribution of food resources. International Journal of Primatology il; 28(2): 315-336

Carroll, N.M.htar, R.S.gerling, L. 1996: Predicting the cooling time for irregular shaped food products. Journal of food process engineering 19(4): 385-401

Carroll, N.M.htar, R.S.gerlind, L. 1994: Predicting the cooling time for irregular shapes. Paper er 1994 (3579 3599)

Albright, L.; Scott, N. 1974: Predicting the daily variations of air temperature inside buildings. Annual progress report: 1st 42-45

Tabuenca, M.C. 1976: Predicting the date of harvest in function of the climate. Fruit belge: th Quarter 44 (376) 277-280

Mikkelsen, S.A. 1981: Predicting the date of harvest of vining peas by means of growing-degree-days models. Acta Horticulturae 122: 211-221

Gigurova, M. 1983: Predicting the date of soybean seeding. Rasteniev'dni Nauki 7: 43-48

Cocozzelli, C. 1989: Predicting the decision of biological mothers to retain or relinquish their babies for adoption: implications for open placement. Child welfare 68(1): 33-44

Fletcher, R. 1992: Predicting the demand for grazed forages. Forestry research west US Department of Agriculture Forest Service: 12-16

Gallichand, J.L.gace, R. 1986: Predicting the depth of sediment in subsurface drains. American Society of Agricultural Engineers Microfiche collection: (fiche no 86-2565)

Jin, Y.; Xu, Y.; Xue, S.; Liu, H.; Zhao, J.; Xu, M. 2007: Predicting the development of early skin test sensitization in offspring of parents with asthma. European Journal of Clinical Investigation 37(6): 522-527

Coetzee, J.-A.B.rne, M.-J.H.ll, M., P. 2007: Predicting the distribution of Eccritotarsus catarinensis, a natural enemy released on water hyacinth in South Africa. Entomologia experimentalis et applicata 125(3): 237-247

Dawson, D.; Darr, L.; Robbins, C. 1993: Predicting the distribution of breeding forest birds in a fragmented landscape. Transactions of the North American Wildlife and Natural Resources Conference: 8th) 35-43

Annandale, G.W. 1984: Predicting the distribution of deposited sediment in southern African reservoirs. Challenges in African hydrology and water resources: proceedings Harare Symposium July 1984 edited by DE Walling SSD Foster P Wurzel: 558

Matero, S.; Pajander, J.; Soikkeli, A.-M.; Reinikainen, S.-P.; Lahtela-Kakkonen, M.; Korhonen, O.; Ketolainen, J.; Poso, A. 2007: Predicting the drug concentration in starch acetate matrix tablets from ATR-FTIR spectra using multi-way methods. Analytica Chimica Acta 595(1-2): 190-197

Henson, S., M.; Dennis, B.; Hayward, J., L.; Cushing, J.M.; Galusha, J., G. 2007: Predicting the dynamics of animal behaviour in field populations. Animal Behaviour 74(Part 1): 103-110

Cook, D.C.; Thomas, M.B.; Cunningham, S.A.; Anderson, D.L.; De Barro, P.J. 2007: Predicting the economic impact of an invasive species on an ecosystem service. Ecological Applications: a Publication of the Ecological Society of America 17(6): 1832-1840

Westphal, J.; Lieber, S. 1986: Predicting the effect of alternative trail design on visitor satisfaction in park settings. Landscape journalng 5(1): 39-44

Mckenzie, D.; Peterson, D.L.; Alvarado, E. 1996: Predicting the effect of fire on large-scale vegetation patterns in North America. U S Forest Service Research Paper PNW 1996(489): I, 1-38

Rehfisch, M.; Holloway, S.; Yates, M.; Clarke, R.; Austin, G.C., N.; Durell, S.-Le, V.D.; Eastwood, J.; Goss-Custard, J.; Swetnam, R. 1997: Predicting the effect of habitat change on waterfowl communities: a novel empirical approach. Effect of habitat loss and change on waterbirds: proceedings of 10th International Waterfowl Ecology Symposium held at the University of Aveiro Portugal 18-21 September 1995 126

Moore, J.A. 1980: Predicting the effect of tussock moth defoliation on juvenile tree growth and stand dynamics--a simulation approach. Mitteilungen der Forstlichen Bundesversuchsanstalt: 30) 187-201

Drogalin, P.; Negovelov, S.; Kazankova, V. 1971: Predicting the effectiveness of mineral fertilizers on the winter wheat variety Bezostaia 1 on leached Chernozems of the Krasnodar Territory. Agrokhimiia 10 61-68

Tolkamp, B.J.; Yearsley, J.M.; Gordon, I.J.; Illius, A.W.; Speakman, J.R.; Kyriazakis, I. 2007: Predicting the effects of body fatness on food intake and performance of sheep. British Journal of Nutrition 97(6): 1206-1215

Petit, L.; Petit, D.; Martin, T.; Thill, R.; Taulman, J. 1994: Predicting the effects of ecosystem management harvesting treatments on breeding birds in pine-hardwood forests. General technical report SO (112) 117-125

Smith, V.H. 1982: Predicting the effects of eutrophication: responses in the phytoplankton. Prediction in water quality: proceedings symposium sponsored by Australian Academy of Science and the Institution of Engineers Australia held in Canberra 30 Nov 2 Dec 1982 edited by EM O'Loughlin P Cullen: 264

Batty, L. 1997: Predicting the effects of habitat loss and change on estuarine birds: are we asking the right questions?. Effect of habitat loss and change on waterbirds: proceedings of 10th International Waterfowl Ecology Symposium held at the University of Aveiro Portugal 18-21 September 1995 6

Hench, J.; Flyger, V.G.bbs, R.V.n-Ness, K. 1985: Predicting the effects of land-use changes on wildlife. Transactions of the North American Wildlife and Natural Resources Conference: 0th) 345-351

Buongiorno, J.K.ng, Y.C.nnaughton, K. 1988: Predicting the effects of macro-economic variables on timber harvest in small regions: method and application. Agricultural systems 8(4): 241-257

Suttle, N.F. 1982: Predicting the effects of molybdenum and sulphur concentrations on the absorbability of copper in grass and forage crops to ruminants. Proceedings symposium on Trace element metabolism in man and animals: ub 1982) (4th) 545-548

Ogola, J.B.O.; Wheeler, T.R.; Harris, P.M. 2007: Predicting the effects of nitrogen and planting density on maize water use in semi-arid Kenya. South African Journal of Plant and Soil 24(1): 51-57

Daubert, C.; Steffe, J.; Srivastava, A. 1998: Predicting the electrorheological behavior of milk chocolate. Journal of food process engineering 21(3): 249-261

Muñoz, M.; Planas, E.àl.; Ferrero, F.; Casal, J. 2007: Predicting the emissive power of hydrocarbon pool fires. Journal of Hazardous Materials 144(3): 725-729

Wiseman, J.C.le, D. 1983: Predicting the energy content of pig feeds. Recent advances in animal nutrition 1983 W Haresign: 0

Bull, L.S. 1988: Predicting the energy value of feeds from laboratory analysis--How good are we at doing this?. Beef cattle Science handbook 2(22): 80-87

Seem, R.; Russo, J. 1983: Predicting the environment. Challenging problems in plant health edited by Thor Kommendahl and Paul H Williams: 238

Turk, L.J. 1976: Predicting the environmental impact of urban development in a karst area. Karst Hydrology and Water Resources Proceedings of the U: ub 1976), 2 681-702

Valle, P.; Martin, S.; Larssen, R. 1998: Predicting the epidemic curve of bovine virus diarrhoea (BVD) in More and Romsdal County, Norway. Proceedings of a meeting held at the on the 72-183

Volker, R.E. 1981: Predicting the extent of sea water intrusion in a coastal aquifer. Proceedings Groundwater Pollution Conference: ub 1981) 167-182

Meador, J.P. 2000: Predicting the fate and effects of tributyltin in marine systems. Reviews of Environmental Contamination and Toxicology 166: 1-48

Rodgers, P.; Depinto, J. 1979: Predicting the fate of organics: conceptual model and experimental approaches. PB U S National Technical Information Service: (298254) 296-311

Waech, T.; Sze, D. 2000: Predicting the fluting tendency of lightweight coated paper. TAPPI Journal 83(4)

Worrall, F.-; Burt, T.-; Adamson, J.-; Reed, M.-; Warburton, J.-; Armstrong, A.-; Evans, M. 2007: Predicting the future carbon budget of an upland peat catchment. Climatic change 85(1-2): 139-158

Ludwig, B. 1997: Predicting the future: have you considered using the Delphi methodology?. Journal of extension 35(5): n

Melo, C.-De; Carneiro, J.-De-S.C.rneiro, P.; Silva, L.-Da; Cintra, J.; Pereira, A.; Moreira, M.; Barros, E. 2006: Predicting the genetic potential in segregating populations of common bean (Phaseolus vulgaris L.). Annual report 49(49): 139-140

Woods, J.; Favier, J.; Briggs, D. 1994: Predicting the germinative energy of dormant malting barley during storage. Journal of the Institute of Brewing 100(4): 257-269

Dickson, J.; Siragusa, G.; Wray, J.J. 1993: Predicting the growth of salmonellae on beef. ARS (71) 121-122

Land, C.; Blum, W.F.; Shavrikova, E.; Kloeckner, K.; Stabrey, A.; Schoenau, E. 2007: Predicting the growth response to growth hormone (GH) treatment in prepubertal and pubertal children with isolated GH deficiency--model validation in an observational setting (GeNeSIS). Journal of Pediatric Endocrinology and Metabolism: Jpem 20(6): 685-693

Myatt, M.M. 1987: Predicting the habitat geography of sensitive plants and community types. Conservation and management of rare and endangered plants: proceedings of a California Conference on the Conservation and Management of Rare and Endangered Plants edited by Thomas S Elias foreward by Jim Nelson: 179

Morooka, T.-; Homma, Y.-; Norimoto, M. 2007: Predicting the humidity control capacity of material based on a linear excitation-response relationship. Journal of wood science e 53(3): 199-203

Oster, J.; Shainberg, I. 1980: Predicting the hydraulic properties of sodic soils Interaction between soil colloids and the soil-solution composition. International Symposium on Salt Affected Soils: 18 to 21 1980: 201

Andersson, K.M.; Owens, D.K.; Vardas, E.; Gray, G.E.; McIntyre, J.A.; Paltiel, A.David. 2007: Predicting the impact of a partially effective HIV vaccine and subsequent risk behavior change on the heterosexual HIV epidemic in low- and middle-income countries: A South African example. Journal of Acquired Immune Deficiency Syndromes 46(1): 78-90

Ziska, L.H.; Bunce, J.A. 2007: Predicting the impact of changing CO(2) on crop yields: some thoughts on food. New phytologist 175(4): 607-618

Brandao, E.M.carl, B.; Schuh, G. 1984: Predicting the impact of new cropping practices upon subsistence farming: a farm level analysis in Brazil. Western journal of agricultural economics 9(2): 329-341

Allen, S. 1985: Predicting the impacts of a high-voltage transmission line on big game hunting opportunities in western Montana. USDA Forest Service general technical report INT Intermountain Forest and Range Experiment Station: (184) 86-100

De-Silva, C.S.; Weatherhead, E.K.; Knox, J.W.; Rodriguez-Diaz, J.A. 2007: Predicting the impacts of climate change - A case study of paddy irrigation water requirements in Sri Lanka. Agricultural Water Management 93(1-2): 19-29

Yorke, T.H. 1980: Predicting the impacts of surface coal mining on trout populations in the Yampa River Basin: a discussion. Energy development in the Southwest: problems of water fish and wildlife in the Upper Colorado River Basin Walter O Spofford Jr Alfred L Parker and Allen V Kneese editors: 457

Mohammadpoorasl, A.; Fakhari, A.; Rostami, F.; Vahidi, R. 2007: Predicting the initiation of substance abuse in Iranian adolescents. Addictive Behaviors 32(12): 3153-3159

Fliurtse, I.; Stramous, E. 1974: Predicting the irrigation system of a palmette orchard according to climatic factors. Sadovodstvo vinogradarstvo i vinodelie Moldavii: 11 11-14

Kirsch, H.E.; Zhu, Z.; Honma, S.; Findlay, A.; Berger, M.S.; Nagarajan, S.S. 2007: Predicting the location of mouth motor cortex in patients with brain tumors by using somatosensory evoked field measurements. Journal of Neurosurgery 107(3): 481-487

Shelopaev, E.I. 1981: Predicting the moisture content and modulus of elasticity of grounds of the earth road-bed. Izvestiia vysshikh uchebnykh zavedenii: lesnoi zhurnal: ) 42-45

Taylor, R.A. 1988: Predicting the moisture content of materials containing oven sensitive volatiles by NIRS. Analytical applications of spectroscopy edited by CS Creaser and AMC Davies: 163

Starcevic, A.; Jaspars, M.; Cullum, J.; Hranueli, D.; Long, P.F. 2006: Predicting the nature and timing of epimerisation on a modular polyketide synthase. Chembiochem: a European Journal of Chemical Biology 8(1): 28-31

Frydrych, I.M.tusiak, M. 2002: Predicting the nep number in cotton yarn--determining the critical nep size. Textile research journal: ication of Textile Research Institute Inc and the Textile Foundation 72(10): 917-923

Chalaganidze, S.; Kitsitadze, D. 1983: Predicting the number of capital repairs of forestry tractors. Lesnoe khoziaistvo: 2) 42-43

Sparks, D. 1978: Predicting the nutrient needs of pecan--a review. Pecan South 5(6): 280-284

Guido, L.-Ferreira-; Curto, A.-; Boivin, P.-; Benismail, N.-; Gonc'-Alves, C.-; Barros, A.-Aracjo 2007: Predicting the organoleptic stability of beer from chemical data using multivariate analysis. Zeitschrift fur Lebensmittel Untersuchung und Forschung A European food research and technology 226(1-2): 57-62

Crookston, N.L. 1979: Predicting the outcome of management activities in mountain pine beetle susceptible lodgepole pine stands. Proceedings 76-280

Harding, C.; Robson, W.; Drinnan, M.; Sajeel, M.; Ramsden, P.; Griffiths, C.; Pickard, R. 2007: Predicting the outcome of prostatectomy using noninvasive bladder pressure and urine flow measurements. European Urology 52(1): 186-192

Quy, R.; Cowan, D.; Haynes, P.I.glis, I.; Swinney, T. 1994: Predicting the outcome of rodenticide trials against Norway rats living on farms. Proceedings Vertebrate Pest Conference: (16th) 133-137

Rathwell, P.; Ridley, J.; Wells, G. 1985: Predicting the peach market. Extension review United States Department of Agricultureng 56(2): 36

Comis, D. 2002: Predicting the perfect moments in farming--from planting to harvest. Agricultural research 50(11): 4-7

Slack, D.; Eshenaur, W.; Berkas, T. 1984: Predicting the performance of a water-pumping hydraulic ram. International journal for development technology 2(4): 261-271

Taylor, W.R. 1987: Predicting the performance of alternative harvesting systems in small timber. USDA Forest Service general technical report INT Intermountain Research Station: (237) 67-70

Wei, W.Y.ng, C. 1999: Predicting the performance of durable press finished cotton fabric with infrared spectroscopy. Textile research journal: ication of Textile Research Institute Inc and the Textile Foundation 69(2): 145-151

Woomer, P.; Asano, W.; Bohlool, B.B. 1992: Predicting the persistence of introduced Bradyrhizobium japonicum in tropical soils. Mulongoy, K, Gueye, M, Spencer, D S C Biological nitrogen fixation and sustainability of tropical agriculture: 235-244

Howells, L.M.; Moiseeva, E.P.; Neal, C.P.; Foreman, B.E.; Andreadi, C.K.; Sun, Y-yang.; Hudson, E.Ann.; Manson, M.M. 2007: Predicting the physiological relevance of in vitro cancer preventive activities of phytochemicals. Acta Pharmacologica Sinica 28(9): 1274-1304

Beltran, R.W.ng, L.W.ng, X. 2005: Predicting the pilling propensity of fabrics through artificial neural network modeling. Textile research journal 75(7): 557-561

Giercuszkiewicz-Bajtlik, M.G.abski, E. 1981: Predicting the pollution of Great Masurian lakes from point and nonpoint sources. Ekologia Polska 29(3): 361-374

Knock, C.; Davison, M. 2007: Predicting the position of the source of blood stains for angled impacts. Journal of forensic sciences 52(5): 1044-1049

Chen-Hao; Chen-Lijun; Albright, T., P. 2007: Predicting the potential distribution of invasive exotic species using GIS and information-theoretic approaches: A case of ragweed (Ambrosia artemisiifolia L.) distribution in China. CHINESE SCIENCE BULLETIN 52(9): 1223-1230

Schoettle, A.W. 1995: Predicting the potential sensitivity of high elevation wilderness vegetation to changes in atmospheric chemistry--a strategy. General technical report RM (262) 63-67

Bolliger, J.; Bergamini, A.; Stofer, S.; Kienast, F.; Scheidegger, C. 2007: Predicting the potential spatial distributions of epiphytic lichen species at the landscape scale. Lichenologist 39(Part 3): 279-291

Harvey, G. 1978: Predicting the predations of aphids. New Scientist 771095: 804-806

Mcdonald, D.A.ini, J. 2000: Predicting the press dewatering of heavyweight grades. TAPPI Journal 83(2): 79-82

Haarstad, K. 1999: Predicting the probability distribution of yield from boreholes in crystalline bedrock. Ground water 37(1): 4

Reams, G.; Brann, T. 1986: Predicting the probability of survival for balsam fir, red spruce and white spruce during a spruce budworm outbreak in Maine. Miscellaneous ication University of Maine Agricultural Experiment Station: (691) 116-121

Poliakov, M. 1974: Predicting the productivity of labor. Ekonomika sel'skogo khoziaistva: 10 69-75

Lebel, L.; Dubeau, D. 2007: Predicting the productivity of motor-manual workers in precommercial thinning operations. Forestry chronicle 83(2): 215-220

Gevaert, O.; De Smet, F.; Timmerman, D.; Moreau, Y.; De Moor, B. 2006: Predicting the prognosis of breast cancer by integrating clinical and microarray data with Bayesian networks. Bioinformatics 22(14): E184-E190

Achanta, S.O.os, M. 1996: Predicting the quality of dehydrated foods and biopolymers--research needs and opportunities. Drying technology 4(6): 1329-1368

Gansner, D.; Herrick, O. 1982: Predicting the rate of change in timber value for forest stands infested with gypsy moth Lymantria dispar, Pennsylvania, robust regression analysis, models. Forest Service research note NE Northeastern Forest Experiment Station Forest Service US Department of Agriculture: (311)

Draganic, M.S.iljkovic, H. 1983: Predicting the resistance of the maize stalk to different isolates of Gibberella zeae based on the degree of resistance of parent components. Zastita bilja = Plant protection 4(1): 27-32

Reynolds, J.; Acock, B. 1985: Predicting the response of plants to increasing carbon dioxide: a critique of plant growth models. Ecological modelling 29(1-4): 107-129

Sanghani, M.; Balk, E.; Cady, B.; Wazer, D. 2007: Predicting the risk of local recurrence in patients with breast cancer: an approach to a new computer-based predictive tool. American Journal of Clinical Oncology 30(5): 473-480

Maclean, D.A. 1985: Predicting the risk of spruce budworm damage using hazard and vulnerability rating systems. USDA Forest Service general technical report NE United States Northeastern Forest Experiment Station: 9) 113-120

Neuert, G.; Albrecht, C.H.; Gaub, H.E. 2007: Predicting the rupture probabilities of molecular bonds in series. Biophysical Journal 93(4): 1215-1223

Kean, J.M.; Kumarasinghe, L.B. 2007: Predicting the seasonal phenology of fall webworm (Hyphantria cunea) in New Zealand. New Zealand Plant Protection 60: 279-285

Smart, G.M. 1984: Predicting the sediment capacity of a channel. Challenges in African hydrology and water resources: proceedings Harare Symposium July 1984 edited by DE Walling SSD Foster P Wurzel: 401

Young, A.; Travina, R. 1983: Predicting the setting season of the oyster Crassostrea iredalei in Himamaylan River, Negros Occidental. Kalikasan: the Philippine journal of biology 2(1-2): 107-114

Einarsson, H. 1992: Predicting the shelf life of cod (Gadus morhua) fillets stored in air and modified atmosphere at temperatures between -4 degrees C and +16 degrees C. Developments in food Science 30: 479-488

Mitsuda, Y.-; Ito, S.-; Sakamoto, S. 2007: Predicting the site index of sugi plantations from GIS-derived environmental factors in Miyazaki Prefecture. Journal of forest research 12(3): 177-186

Chen, J.; Hale, S.; Myerson, J. 2007: Predicting the size of individual and group differences on speeded cognitive tasks. Psychonomic Bulletin and Review 14(3): 534-541

Gleiser, R.M.; Gorla, D.E. 2007: Predicting the spatial distribution of Ochlerotatus albifasciatus (Diptera: Culicidae) abundance with NOAA imagery. Bulletin of Entomological Research 97(6): 607-612

Zhu, L.-; Sun, O., J.; Sang, W.-; Li, Z.-; Ma, K. 2007: Predicting the spatial distribution of an invasive plant species (Eupatorium adenophorum) in China. Landscape ecology 22(8): 1143-1154

Tatsuhara, S.-; Antatsu, Y. 2007: Predicting the spatial distribution of the abundance of Siebold's beech in a montane cool-temperate region based on environmental factors. Journal of forest research 12(6): 442-451

Baskin, C.C. 1980: Predicting the storability of soybean seed lots Germination, accelerated aging, regression analysis. Journal of seed technology(2): 1-6

Kortschot, M.; Trakas, K. 1998: Predicting the strength of paper containing holes or cracks with the point stress criterion. TAPPI Journal 81(1): 254-259

Wang, X. 2000: Predicting the strength variation of wool from its diameter variation. Textile research journal: ication of Textile Research Institute Inc and the Textile Foundation 7(3): 191-194

Reggiani, B.; Cristofolini, L.; Varini, E.; Viceconti, M. 2007: Predicting the subject-specific primary stability of cementless implants during pre-operative planning: preliminary validation of subject-specific finite-element models. Journal of Biomechanics 40(11): 2552-2558

Smith, V.; Willen, E.K.rlsson, B. 1987: Predicting the summer peak biomass of four species of blue-green algae (Cyanophyta. Water resources bulletin 23(3): 397-402

Gaffield, S.; Potter, K.; Wang, L. 2005: Predicting the summer temperature of small streams in southwestern Wisconsin. Journal of the American Water Resources Association 41(1): 25-36

Allen, C., A.W.; Watts, K.C.ris-; Ackman, R., G. 1999: Predicting the surface tension of biodiesel fuels from their fatty acid composition. Journal of the American Oil Chemists' Society 76(3): 317-323

Grose, P.E.erdale, F.K.tz, L. 1983: Predicting the surface transport of oil pollutants in the Gulf of Mexico. Marine Pollution Bulletin 14(10): 372-377

Sutherst, R.W. 1991: Predicting the survival of immigrant insect pests in new environments. Crop Protection 10(5): 331-333

Simard, C.C.staigne, F.B.udreau, A. 1983: Predicting the texture of sausage containing soy protein from their emulsifying capacity and efficiency. Sciences des aliments(2): 299-309

Kashmanian, R.M. 1993: Predicting the tonnage of yard trimmings to be composted in 1996. BioCycle 34(9): 51-53

Wagner, J.; Feuz, D. 1994: Predicting the value of feeder cattle placed into an accelerated finishing program under dynamic market conditions. South Dakota beef report: (94-20) 84-91

Steinitz, C. 1979: Predicting the visual quality impacts of development: a simulation of alternative policies for implementing the Massachusetts Scenic and Recreational Rivers Act. USDA Forest Service general technical report PSW: (35) 598-609

Oleckno, W.A. 1976: Predicting the water pollution potential of proposed sanitary landfills. I. Sanitary landfill leachate, what it is. Journal of environmental health 38(5): 331-333

Oleckno, W.A. 1976: Predicting the water pollution potential of proposed sanitary landfills. II. An index of the water pollution potential of sanitary landfills. Journal of environmental health 38(5): 334-336

Light, G.; Dotray, P.; Mahan,. Jr.; 1998: Predicting thermal dependence of pyrithiobac efficacy in palmer amaranth (Amaranthus palmeri) with inhibition kinetics. Proceedings Southern Weed Science Society 1(51): 207

Edwards, W.M. 1982: Predicting tillage effects on infiltration Soil hydraulic properties. ASA special ication American Society of Agronomy: 4) 105-115

Oskoui, K.; Voorhees, W. 1991: Predicting timeliness penalties from weather and crop data. Paper er 1991 (911549)

Allen, R.J.; Kidder, G.G.scho, G. 1978: Predicting tons of sugarcane per acre using solar radiation, temperature and percent plant cane, 1971 through 1976. Proceedings New Seriesub e 1978) 7(7): 18-22

Bigano, A.-; Hamilton, J., M.; Maddison, D., J.; Tol, R., S.J. 2006: Predicting tourism flows under climate change. Climatic change 79(3-4): 175-180

Sidorenko, G.I.; Pinigin, M.A. 1979: Predicting toxicometric parameters on the basis of studying the concentration--time dependence. Environmental Health Perspectives 30: 19-21

Chahota, R.K.; Kishore, N.; Dhiman, K.C.; Sharma, T.R.; Sharma, S.K. 2007: Predicting transgressive segregants in early generation using single seed descent method-derived micro-macrosperma genepool of lentil (Lens culinaris Medikus). Euphytica 156(3): 305-310

Townley, S.; Carslake, D.; Kellie-Smith, O.; Mccarthy, D.; Hodgson, D. 2007: Predicting transient amplification in perturbed ecological systems. Journal of applied ecology 44(6): 1243-1251

Kerekes, J. 1983: Predicting trophic response to phosphorus addition in a Cape Breton Island Lake. Proceedings of the a Scotian Institute of Science 3(1): 7-18

Gelernter, W.S.owell, L. 2006: Predicting turf performance. Grounds maintenance 41(8): 12-14

Irving, A.D.; Connell, S.D. 2006: Predicting understorey structure from the presence and composition of canopies: an assembly rule for marine algae. Oecologia 148(3): 491-502

Bebber, D.P.; Marriott, F.H.C.; Gaston, K.J.; Harris, S.A.; Scotland, R.W. 2007: Predicting unknown species numbers using discovery curves. Proceedings. Biological Sciences 274(1618): 1651-1658

Gao, F.S.cks, J.W.lch, W. 1996: Predicting urban ozone levels and trends with semiparametric modeling. Journal of agricultural biological and environmental statistics 1(4): 404-425

Montgomery, R.; Lee, V.; Reckhow, K. 1983: Predicting variability in a Lake Ontario phosphorus model. Journal of Great Lakes research(1): 74-82

Smith, R.S.; Rushton, S.P.; Wadesworth, R.A. 1992: Predicting vegetation change in an upland environment. Whitby, M C Land use change: The causes and consequences: 118-130

Delong, C. 1989: Predicting vegetation management problems. FRDA report: (030) 108-109

Billikopf, G.E. 1988: Predicting vineyard pruner performance. California agriculture California Agricultural Experiment Station 42(2): 13-14

Le Meur, O.; Le Callet, P.; Barba, D. 2007: Predicting visual fixations on video based on low-level visual features. Vision Research 47(19): 2483-2498

Lang, K.; Steinberg, M. 1981: Predicting water activity from 0.30 to 0.95 of a multicomponent food formulation. Journal of food science 46(3): 670-672

Hardin, G.B. 1979: Predicting water pollution. Agricultural research 27(12): 14

Donigian, A.J.; Imhoff, J.1; Bicknell, B. 1983: Predicting water quality resulting from agricultural nonpoint source pollution via simulation--HSPF Hydrologic Simulation Program-Fortran. Agricultural management and water quality edited by FW Schaller GW Bailey: 249

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Jin-Wei-Bo; Li-Nan-Nan; Wu-Fang-Li; Kong-Dong; Guo-Ai-Guang 2007: Prediction and validation of MicroRNAs from rice genome using mature - SVM. Zhongguo Shengwu Huaxue yu Fenzi Shengwu Xuebao 23(9): 743-750

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L.Y.nLi; Bai YouLu; Yang LiPing; Wang HongJuan 2007: Prediction and validation of soil organic matter content based on hyperspectrum. Scientia Agricultura Sinica 40(9): 1989-1995

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Katagami, Y.kimi; Nakayama, Keisuke; Yokoyama, Atsushi; Homma, Takamitsa; Park, Ho-Dong 2007: Prediction for temporal changes of cell concentration of the cyanobacterium Microcystis in Tenryu River, using the fluid dynamic model of cyanobacteria. Japanese Journal of Limnology 68(2): 241-251

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Q.G.oQiang; Zhang ChangLi; Wei XiaoLi; Niu ZhiYong 2007: Prediction methods for primary production of a milch cow by improved BP neural network approach. Nongye Jixie Xuebao = Transactions of the Chinese Society for Agricultural Machinery 38(5): 137-138, 130

Gao YanPing; Yu Hong; Cui XinZhong; Jiang GuoXing; Wang MeiNi 2007: Prediction model for rice stem borer based on L-M optimized algorithm and its preliminary application. Transactions of the Chinese Society of Agricultural Engineering 23(7): 162-165

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Bidgoly, S.R.H.B.; Ghobadian, B.; Kamalian, N. 2004: Prediction model of a power tiller noise level at rural dirt road. Journal of Agricultural Sciences Islamic Azad University 10(2): Pe47-Pe58, 5

Dormody, T.J. 1993: Prediction modeling of resource sharing between secondary school agriculture teachers and science departments. Journal of agricultural educationng 34(1): 51-59

Savadogo, P.; Elfving, B. 2007: Prediction models for estimating available fodder of two savanna tree species (Acacia dudgeoni and Balanites aegyptiaca) based on field and image analysis measures. African Journal of Range and Forage Science 24(2): 63-71

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Paramasivan, R.; Sivaperumal, R.; Dhananjeyan, K.Jegadeeswaran.; Thenmozhi, V.; Tyagi, B.Kishore. 2007: Prediction of 3-dimensional structure of salivary odorant-binding protein-2 of the mosquito Culex quinquefasciatus, the vector of human lymphatic filariasis. In Silico Biology 7(1): 1-6

Panda, K.K.; Mehla, R.K.; Das, B.C. 2005: Prediction of 305 days milk yield based on most frequent daily milk yield of a month in Sahiwal cows. Indian Journal of Animal Research 39(1): 49-52

Avtar Singh; Sachin Singh; Aynalem Haile 2007: Prediction of 305-day milk yield based on monthly milk yield records in Karan Fries cattle. Indian Journal of Animal Sciences 77(11): 1148-1150

Burgos, S.A.; Fadel, J.G.; Depeters, E.J. 2007: Prediction of ammonia emission from dairy cattle manure based on milk urea nitrogen: relation of milk urea nitrogen to urine urea nitrogen excretion. Journal of Dairy Science 90(12): 5499-5508

Shan Hao; Xu JinMei; Hou Min; Ji MinJun; Zhang SuHua; Wu HaiWei 2007: Prediction of B-cell epitopes on SA35 and SA40 of Cryptosporidium parvum. Journal of Tropical Medicine Guangzhou 7(6): 509-512, 528

Lovelock, P.K.; Wong, E.M.; Sprung, C.N.; Marsh, A.; Hobson, K.; French, J.D.; Southey, M.; Sculley, T.; Pandeya, N.; Brown, M.A.; Chenevix-Trench, G.; Spurdle, A.B.; McKay, M.J. 2007: Prediction of BRCA1 and BRCA2 mutation status using post-irradiation assays of lymphoblastoid cell lines is compromised by inter-cell-line phenotypic variability. Breast Cancer Research and Treatment 104(3): 257-266

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Otu, H.H.; Can, H.; Spentzos, D.; Nelson, R.G.; Hanson, R.L.; Looker, H.C.; Knowler, W.C.; Monroy, M.; Libermann, T.A.; Karumanchi, S.A.; Thadhani, R. 2007: Prediction of diabetic nephropathy using urine proteomic profiling 10 years prior to development of nephropathy. Diabetes Care 30(3): 638-643

Ellis, J.L.; Qiao, F.; Cant, J.P. 2006: Prediction of dry matter intake throughout lactation in a dynamic model of dairy cow performance. Journal of Dairy Science 89(5): 1558-1570

Kienzle, E.; Biourge, V.; Schönmeier, A. 2006: Prediction of energy digestibility in complete dry foods for dogs and cats by total dietary fiber. Journal of Nutrition 136(7 Suppl): 2041s-2044s

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Mark, T.; Fikse, W.F.; Sullivan, P.G.; VanRaden, P.M. 2007: Prediction of genetic correlations and international breeding values for missing traits. Journal of Dairy Science 90(10): 4805-4813

Luxhoi, J.B.uun, S.S.enberg, B.B.eland, T.; Jensen, L. 2006: Prediction of Gross and Net Nitrogen Mineralization-Immobilization-Turnover from Respiration. Soil Science Society of America journal- 70(4): 1121-1128

Nash, M.; Pokorny, F. 1990: Prediction of H-ion activity of two-component potting media from analysis of components. Communications in soil science and plant analysis 21(5-6): 395-406

Vermeiren, H.; Van Craenenbroeck, E.; Alen, P.; Bacheler, L.; Picchio, G.; Lecocq, P. 2007: Prediction of HIV-1 drug susceptibility phenotype from the viral genotype using linear regression modeling. Journal of Virological Methods 145(1): 47-55

Chindavijak, S. 2007: Prediction of hypocalcemia in postoperative total thyroidectomy using single measurement of intra-operative parathyroid hormone level. Journal of the Medical Association of Thailand 90(6): 1167-1171

Nielsen, M.; Lundegaard, C.; Lund, O. 2007: Prediction of MHC class Ii binding affinity using SMM-align, a novel stabilization matrix alignment method. Bmc Bioinformatics 8: 238

Kim, J.; Clevenger, T.E. 2007: Prediction of N-nitrosodimethylamine (NDMA) formation as a disinfection by-product. Journal of Hazardous Materials 145(1-2): 270-276

Chinkuyu, A.M.ixner, T.G.sh, T.N.jadhashemi, A. 2006: Prediction of NO3 -N Losses in Surface Runoff from a Field with Seepage Zones Using GLEAMS and RZWQM. Transactions of the ASABE 49(6): 1779-1790

Cabrera, V.E.; de Vries, A.; Hildebrand, P.E. 2006: Prediction of nitrogen excretion in dairy farms located in north Florida: a comparison of three models. Journal of Dairy Science 89(5): 1830-1841

Booth, P.J.; Watson, T.J.; Leese, H.J. 2007: Prediction of porcine blastocyst formation using morphological, kinetic, and amino acid depletion and appearance criteria determined during the early cleavage of in vitro-produced embryos. Biology of Reproduction 77(5): 765-779

Tecer, L.H. 2007: Prediction of SO2 and PM concentrations in a coastal mining area (Zonguldak, Turkey) using an artificial neural network. Polish Journal of Environmental Studies 16(4): 633-638

Paulo, A., A.; Pereira, L., S. 2007: Prediction of SPI Drought Class Transitions Using Markov Chains. Water resources management 21(10): 1813-1827

Cox, D.J.; Gonder-Frederick, L.; Ritterband, L.; Clarke, W.; Kovatchev, B.P. 2007: Prediction of severe hypoglycemia. Diabetes Care 30(6): 1370-1373

Fukagawa, S.; Inoue, A.; Yoshida, K.; Komura, H.; Ishii, Y.; Sato, K. 2007: Prediction of TDN concentration of forage rice (Oryza sativa L.) silage from in vitro dry matter digestibility and dry weight percentage of panicle. Japanese Journal of Grassland Science 53(1): 16-22

Yu, H.; Xu, H.; Ying, Y.; Xie, L.; Zhou, Y.F., X. 2006: Prediction of Trace Metals in Chinese Rice Wine by Fourier Transform Near-Infrared Spectroscopy. Transactions of the ASABE- 49(5): 1463-1467

Roan, R.M.; Boyd, G.L. 2007: Prediction of a low success rate of astronauts in space in performing endotracheal intubation. Anesthesiology 106(6): 1247-8; Author Reply 1248

Hassan Beygi, S.R.; Ghobadian, B.; Kianmehr, M.H.; Chayjan, R.A. 2007: Prediction of a power tiller sound pressure levels in octave frequency bands using artificial neural networks. International Journal of Agriculture and Biology 9(3): 494-498

Akabzaa, T.M.; Armah, T.E.K.; Baneong Yakubo, B.K. 2007: Prediction of acid mine drainage generation potential in selected mines in the Ashanti Metallogenic Belt using static geochemical methods. Environmental Geology 52(5): 957-964

Kneuer, C.; Lakoma, C.; Honscha, W. 2007: Prediction of acute toxicity in HPCT-1E3 hepatocytoma cells with liver-like transport activities. Alternatives to Laboratory Animals: Atla 35(4): 411-420

Manrique, C.; Elzo, M.; Odenya, W.; McDowell, L.; Wakeman, D. 1997: Prediction of additive and nonadditive genetic effects for weight at weaning using a multibreed animal evaluation procedure. Corpoica Ciencia y Tecnologia Agropecuarias 2(1): 17-21

Panebianco, J.E.; Buschiazzo, D.E. 2006: Prediction of aeolian erosion with the EWEQ model in soils of the semiarid Central Pampas region. Publicacion Tecnica INTA 66: 23-29

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Meara, R.S.; Cangiarella, J.; Simsir, A.; Horton, D.; Eltoum, I.; Chhieng, D.C. 2007: Prediction of aggressiveness of gastrointestinal stromal tumours based on immunostaining with bcl-2, Ki-67 and p53. Cytopathology: Official Journal of the British Society for Clinical Cytology 18(5): 283-289

Asseed, M.; Turjoman, A.; Katta, Y.E.ewy, H. 1982: Prediction of alfalfa water requirement and irrigation need in Al-Hassa area by the use of evaporation data. Proceedings Fifth Conference on the Biological Aspects of Saudi Arabia: held at College of Education at Abha King Saud University Abha April 13-16-1981 Saudi Biological Society AM Migahid editor in chief: 4

Reyes, V.E.; Lew, R.A.; Lu, S.; Humphreys, R.E. 1991: Prediction of alpha helices and T cell-presented sequences in proteins with algorithms based on strip-of-helix hydrophobicity index. Methods in Enzymology 202: 225-238

Yamada, S.; Kato, Y.; Okura, T.; Kagawa, Y.; Kawabe, K. 2007: Prediction of alpha1-adrenoceptor occupancy in the human prostate from plasma concentrations of silodosin, tamsulosin and terazosin to treat urinary obstruction in benign prostatic hyperplasia. Biological and Pharmaceutical Bulletin 30(7): 1237-1241

Meikle, R.W. 1978: Prediction of ammonium nitrogen fertilizer disappearance from soils in the presence and absence of N SERVE nitrogen stabilizers. Down to earth: ng 34 (3) 6-10

Singh, D.; Singh, C.; Singh, L. 1984: Prediction of annual egg number on the basis of age at maturity and part-production in reciprocal crosses of two White Leghorn strains. Indian Journal of Poultry Science 19(3): 189-191

Ajay Kumar; Kaushal, K.K.; Singh, R.D. 2007: Prediction of annual maximum daily rainfall of Almora based on probability analysis. Indian Journal of Soil Conservation 35(1): 82-83

Salehi, F.P.asher, S.; Amin, S.M.dani, A.J.belli, S.; Ramaswamy, H.; Tan, C.D.ury, C. 2000: Prediction of annual nitrate-N losses in drain outflows with artificial neural networks. Transactions of the ASAE 43(5): 1137-1143

Abiko, T.; Kawamura, M.; Izumi, Y.; Oyama, T.; Saito, Y.; Kobayashi, K. 2007: Prediction of anti-tumour effect of thermochemotherapy with in vitro thermochemosensitivity testing for non-small cell lung cancer. International Journal of Hyperthermia: the Official Journal of European Society for Hyperthermic Oncology North American Hyperthermia Group 23(3): 267-275

Peng, Y.L., R. 2007: Prediction of apple fruit firmness and soluble solids content using characteristics of multispectral scattering images. Journal of food engineering 82(2): 142-152

Lu, R. 2004: Prediction of apple fruit firmness by near-infrared multispectral scattering. Journal of texture studies 35(3): 263-276

Wiley, R.C. 1985: Prediction of apple furit quality for processing. Confructa 9(11): 112

Hu XiaoPing; Tian XueLiang; Li SuiYuan; Gao LiQiang; Gou JianJun; Yu Zheng; Yang JiaRong 2007: Prediction of apple scab epidemics in Weibei semi-arid plateau of Shaanxi. Journal of Northwest A and F University Natural Science Edition 35(10): 151-154

Proctor, J.; Blackburn, W.; Gillespie, T.; Macneill, B. 1983: Prediction of apple scab. Reduction of spraying. Highlights of agricultural research in Ontario 6(3): 7-9

Lee, Y.; Noh, B. 1982: Prediction of ascorbic acid stability in powdered beverage. Han'guk sikp'un kwahak hoechi = Korean journal of food science and technology 14(4): 330-335

Haq, A.; Miller, M. 1972: Prediction of available soil Zn, Cu, and Mn using chemical extractants. Agronomy Journal 64(6): 779-782

Sandberg, B.; Reid,. Jr.; 1986: Prediction of bank recession, Lake Sakakawea, N.D. Proceedings of the North Dakota Academy of Science 40(40): 124

Mallikarjunan, P.M.ttal, G. 1995: Prediction of beef carcass chilling time and mass loss. Journal of food process engineering 18(1): 1-15

Garcia-De-Siles, J.; Ziegler, J.; Wilson, L. 1977: Prediction of beef quality by three grading systems. Journal of food science 42(3): 711-715

Demeyer, D.H.ndryckx, P.V.rbeke, R. 1983: Prediction of beef tenderness by measurement of the maximum shearing force and by sensory analysis. Revue de l'agriculture 36(2): 281-289

Kurtzman, C.T. 1987: Prediction of biological relatedness among yeasts from comparisons of nuclear DNA complementarity. Reprints US Department of Agriculture Agricultural Research Service: 91 459-468

Mishra, R.K. 1980: Prediction of birth-weight from the weight of the pregnant doe Goats. Food farming and agriculture 13(4): 85-86

Smith, R. 1974: Prediction of bloat occurrence in grazing cattle. Reviews Australia science: 1 93-96

Khare, P.; Narayan, U.; Thakur, K.; Korde, J.P.; Madan, A.K.; Rastogi, S.K.; Sharma, R.J. 2007: Prediction of body weight from body girths and length measurements in crossbred lactating cattle. Indian Journal of Animal Sciences 77(5): 414-416

Purnomo, H.G.nting, E.A.dhana, M.; Tulloh, N. 1983: Prediction of body weight from chest girth of Madura cattle. SABRAO journal 15(1): 45-54

Maguire, D.; Hann, D.; Kershaw, J.J. 1988: Prediction of branch diameter and branch distribution for Douglas-fir in southwestern Oregon. USDA Forest Service general technical report NC North Central Forest Experiment Station: 20) 1029-1036

Panozzo, J.; O'-Brien, L.M.critchie, F.B.kes, F. 1988: Prediction of breadmaking quality from flour lipid compositions. Ninth Australian Plant Breeding Conference Wagga Wagga 27th June 1st July 1988 edited by KS McWhirter RW Downes BJ Read: 338

Phillips, M.; Cataneo, R.N.; Ditkoff, B.A.; Fisher, P.; Greenberg, J.; Gunawardena, R.; Kwon, C.S.; Tietje, O.; Wong, C. 2006: Prediction of breast cancer using volatile biomarkers in the breath. Breast Cancer Research and Treatment 99(1): 19-21

Matolcsy, G.B.rdas, B1; Lopata, A1; Darvas, F1; Kovacs, M. 1983: Prediction of broad spectrum antifungal compounds using potency mapping and multivariate technics Plant pathogens. Pesticide chemistry: human welfare and the environment: proceedings of the 5th International Congress of Pesticide Chemistry Kyoto Japan 29 August 4 September 1982 editors in chief J Miyamoto and PC Kearney: 295

Nachane, R.; Iyer, K. 1980: Prediction of bundle strength from single-fiber test data. Textile research journal 50(10): 639-641

Morrison, J.J.; Yoder, E. 1978: Prediction of burley tobacco quality and losses from whole plant slicing. Tobacco international 180(17): 57-59

Armbrust, D.; Bilbro, J. 1988: Prediction of canopy structure for wind erosion modeling. American Society of Agricultural Engineers Microfiche collection: (fiche no 88-2559)

Rahman, M.F. 2007: Prediction of carcass weight from the body characteristics of Black Bengal Goats. International Journal of Agriculture and Biology 9(3): 431-434

Leineweber, C.; Kecklund, Göran.; Orth-Gomér, K. 2007: Prediction of cardiocerebrovascular and other significant disease from disturbed sleep and work strain. Scandinavian Journal of Work Environment and Health 33(3): 215-222

Ruilope, L.M.; Zanchetti, A.; Julius, S.; McInnes, G.T.; Segura, J.; Stolt, P.; Hua, T.A.; Weber, M.A.; Jamerson, K. 2007: Prediction of cardiovascular outcome by estimated glomerular filtration rate and estimated creatinine clearance in the high-risk hypertension population of the VALUE trial. Journal of Hypertension 25(7): 1473-1479

Sokol, P.; Maslov, A.; Ponomareva, G. 1979: Prediction of carrot keeping qualities by use of the bioelectric potential. Soviet agricultural sciences: ) 26-29

Lupton, C.; Pfeiffer, F.; Dooling, A. 1999: Prediction of cashmere style using objective fiber measurements. Sheep and goat research journal 5(1): 1-4

Golodriga, P.; Kostik, M.; Zlenko, V. 1986: Prediction of certain yield quality components of vine varieties and seedlings by the callus tissue. Fiziologiia i biokhimiia kul'turnykh rastenii = Physiology and biochemistry of cultivated plants 18(5): 510-515

Konstantinov, I.; Skotnikova, O.; Soldaeva, L.; Sisigina, T. 1974: Prediction of cesium 137 migration in soils. Pochvovedenie 5 54-58

Labenets, E.; Gorbunov, N.; Shchurina, G. 1974: Prediction of changes in soil properties and destruction of minerals under the influence of water and solutions. Pochvovedenie 4 130-146

Roundy, B.A.; Hardegree, S.P.; Chambers, J.C.; Whittaker, A. 2007: Prediction of cheatgrass field germination potential using wet thermal accumulation. Rangeland Ecology and Management 60(6): 613-623

X.C.unCheng; Cai YiMin; Moriya, N.; Amari, M.; Murai, M.; Ogawa, M. 2007: Prediction of chemical composition of unground forage paddy rice using near-infrared reflectance spectroscopy. Japanese Journal of Grassland Science 53(1): 6-10

Xiccato, G.T.ocino, A.B.ever, J.-De; Maertens, L.C.rabano, R.P.scual, J.; Perez, J.; Gidenne, T.F.lcao, E.C.nha, L. 2003: Prediction of chemical composition, nutritive value and ingredient composition of European compound feeds for rabbits by near infrared reflectance reflectance spectroscopy (NIRS). Animal feed Science and technology 003 104(1-4): 153-168

Mccall, P.; Swann, R.; Laskowski, D.; Vrona, S.; Unger, S.; Dishburger, H. 1981: Prediction of chemical mobility in soil from sorption coefficients. Proceedings Aquatic toxicity and hazard assessment: ub 1981) 49-58

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Hoeft, F.; Ueno, T.; Reiss, A.L.; Meyler, A.; Whitfield-Gabrieli, S.; Glover, G.H.; Keller, T.A.; Kobayashi, N.; Mazaika, P.; Jo, B.; Just, M.A.; Gabrieli, J.D.E. 2007: Prediction of children's reading skills using behavioral, functional, and structural neuroimaging measures. Behavioral Neuroscience 121(3): 602-613

Canfield, D.J.; Shireman, J.; Colle, D.; Haller, W.; Watkins, C.I. 1984: Prediction of chlorophyll a concentrations in Florida lakes: importance of aquatic macrophytes. Canadian journal of fisheries and aquatic sciences = Journal canadien des sciences halieutiques et aquatiques 41(3): 497-501

Canfield, D.Jr 1983: Prediction of chlorophyll a concentrations in Florida lakes: the importance of phosphorus and nitrogen Eutrophication, algae, statistics. Water resources bulletin 19(2): 255-262

Cui, J.; Kang, X.; Dai, Z.; Huang, C.; Zhou, H.; Guo, K.; Li, Y.; Zhang, Y.; Sun, R.; Chen, J.; Li, Y.; Tang, Z.; Uemura, T.; Liu, Y. 2007: Prediction of chronic hepatitis B, liver cirrhosis and hepatocellular carcinoma by SELDI-based serum decision tree classification. Journal of Cancer Research and Clinical Oncology 133(11): 825-834

Ye, X.-; Sakai, K.-; Manago, M.-; Asada, S.-Ichi-; Sasao, A. 2007: Prediction of citrus yield from airborne hyperspectral imagery. Precision agriculture 8(3): 111-125

Retuerto, R.U.ieda, F.C.rballeira, A. 1984: Prediction of climatic parameters with ecologic interest in Galicia. III. Potential evapotranspiration and water balance. Anales de edafologia y agrobiologia (pub 1984) 42(11-12): 2243-2265

Ostrovskii, A.; Fedorov, A. 1978: Prediction of clogging of alluvial aquifers of mountain river valleys by the natural paleogeographic analogy method. Water resources 5(1): 30-38

Alessandrini, L.; Romani, S.; Rosa, M.D. 2007: Prediction of coffee roasting degree by near infrared spectroscopy. 21st International Conference on Coffee Science, Montpellier, France, 11-15 September 2006: 290-293

Speers, R.; Tung, M.; Jackman, R. 1987: Prediction of colour deterioration in strawberry juice. Canadian Institute of Food Science and Technology journal 20(1): 15-18

Pillonel, L.-; Dufour, E.-; Schaller, E.-; Bosset, J.-Olivier-; De-Baerdemaeker, J.-; Karoui, R. 2007: Prediction of colour of European Emmental cheeses by using near infrared spectroscopy: a feasibility study. Zeitschrift fur Lebensmittel Untersuchung und Forschung A European food research and technology 226(1-2): 63-69

Harries, J.; Williams, D.; Pomeroy, R. 1975: Prediction of comparative retail value of beef carcasses. Animal production 21(2): 127-137

Carvalho, H.; Miranda-Filho, J. 1979: Prediction of composite means of maize (Zea mays) for the homogeneous microregion-131, State of Bahia Genetics, Brazil.1. Relatorio cientifico Escola Superior de Agricultura "Luiz de Queiroz" Departamento de Genetica Instituto de Genetica: 3) 69-82

Lechowicz, Z.S.ymanski, A. 1984: Prediction of consolidation of organic soils. Annals of Warsaw Agricultural University SGGW AR Land Reclamation: 0) 55-59

Al-Yaqout, A.; Hamoda, M. 2005: Prediction of contamination migration at unlined landfill sites in an arid climate - A case study. Water air and soil pollution 162(1-4): 247-264

Hung, Y.C. 1990: Prediction of cooling and freezing times. Food Technology 44(5): 137-153

Gidding 2007: Prediction of coronary artery calcium in young adults using the Pathobiological Determinants Atherosclerosis in Youth (PDAY) risk score: The CARDIA study (vol 166, pg 2341, 2006). Archives of Internal Medicine 167(4): 373

Leskinen, Y.ö; Groundstroem, K.; Virtanen, V.; Lehtimäki, T.; Huhtala, H.; Saha, H. 2006: Prediction of coronary artery disease by transesophageal echocardiographic detection of thoracic aortic plaque in patients with chronic kidney disease. NEPHRON. Clinical Practice 103(4): C157-C161

Adibi, P.; Sadeghi, M.; Mahsa, M.; Rozati, G.; Mohseni, M. 2007: Prediction of coronary atherosclerotic disease with liver transaminase level. Liver International: Official Journal of the International Association for the Study of the Liver 27(7): 895-900

Morrison, A.C.; Bare, L.A.; Chambless, L.E.; Ellis, S.G.; Malloy, M.; Kane, J.P.; Pankow, J.S.; Devlin, J.J.; Willerson, J.T.; Boerwinkle, E. 2007: Prediction of coronary heart disease risk using a genetic risk score: the Atherosclerosis Risk in Communities Study. American Journal of Epidemiology 166(1): 28-35

Andresen, J.; Dale, R.; Fletcher, J.; Preckel, P. 1989: Prediction of county-level corn yields using an energy-crop growth index. Journal of climate 2(1): 48-56

Lyon, D.; Schniewind, A. 1978: Prediction of creep in plywood. 1. Prediction models for creep in plywood. Wood and fiberng 10(1): 28-38

Pesek, J. 1979: Prediction of crop response to production factors. Investigacion cientifica y el problema agrario Jornadas internacionales de organizacion cientifica Madrid 16-20 de febrero de 1976 edicion preparada por Valentin Hernando Fernandez: 176

Van-Wagner, Ce 1989: Prediction of crown fire behavior in conifer stands. Proceedings of the 10th Conference on Fire and Forest Whitewood = Compte rendu du 10ieme Congress sur les incendies et la meterologie forestiere editeurs DC Maiver H Auld R Whitewood: 212

Malik, R.; Agarwal, M. 1982: Prediction of cumulative rainfall deficits using growth models Irrigation water supply system, India. Journal of agricultural engineering 19(1): 1-5

Baile, C.A. 1980: Prediction of daily feed intakes by ruminants. Feed management 31(11): 35

Mitropolenko, A.I. 1989: Prediction of death of winter cereals from low subzero temperatures and ice crust. Soviet agricultural sciences: ) 6-9

Rovedo, C.; Viollaz, P. 1998: Prediction of degrading reactions during drying of solid foodstuffs. Drying technology 6(3-5): 561-578

Tong, J.-Chuan; Tan, T.-Wee; Sinha, A., A.; Ranganathan, S. 2006: Prediction of desmoglein-3 peptides reveals multiple shared T-cell epitopes in HLA DR4- and DR6-associated Pemphigus vulgaris. BMC Bioinformatics 7(Suppl 5): Article No.: S7

Vogt, L.K.oting, I. 1993: Prediction of diabetes incidence in BB. Welfare and science: proceedings of the Fifth Symposium of the Federation of European Laboratory Animal Science Associations 8-11 June 1993 Brighton UK 4

Mudgett, R.; Goldblith, S.; Wang, D.; Westphas, W. 1975: Prediction of dielectric properties in solid foods at ultrahigh and microwave frequencies. Proceedings Microwave Power Symposium: 0th 272-274

Mudgett, R.; Goldblith, S.; Wang, D.; Westphal, W. 1977: Prediction of dielectric properties in solid foods of high moisture content at ultrahigh and microwave frequencies. Journal of Food Processing and Preservation 1(2): 119-151

Hallberg, L.; Hulthen, L. 2006: Prediction of dietary iron absorption: An algorithm for calculating absorption and bioavailability of dietary iron (vol 71, pg 1147, 2000). American Journal of Clinical Nutrition 84(5): 1253

Salewski, A.R.ess, P. 1978: Prediction of digestibility of single and mixed feeds from analysis of the plant cell wall. Kraftfutter 61(12): 714-716

Suits, G.; Safir, G. 1972: Prediction of directional reflectance of a corn field under stress. Annual Earth Resources Program Review-H review 2(31)

Kim, K.S.; Beresford, R.M.; Henshall, W.R. 2007: Prediction of disease risk using site-specific estimates of weather variables. New Zealand Plant Protection 60: 128-132

Suttle, N.; Jones, D.; Woolliams, J.; Woolliams, C. 1988: Prediction of disorder in Cu-deficient lambs from different genotypes. Trace elements in man and animals 6 edited by Lucille S Hurley et al: 437

Cornish, G.B.; Bekes, F.; Eagles, H.A.; Payne, P.I. 2006: Prediction of dough properties for bread wheats. Gliadin and glutenin: the unique balance of wheat quality: 243-280

Ruan, R.A.maer, S.Z.ang, J. 1994: Prediction of dough rheological properties using neural networks. Paper er 1994 (6501 6523)

Chaudhuri, D.; Bhattacharya, S.; Bose, A. 1981: Prediction of drained weight in canned prawn under commercial conditions. Fishery technology 18(1): 59-60

Pole, D.L.; Ando, H.Y.; Murphy, S.T. 2007: Prediction of drug degradants using DELPHI: an expert system for focusing knowledge. Molecular Pharmaceutics 4(4): 539-549

Latere Dwan'Isa, J.P.; Rouxhet, L.; Préat, V.; Brewster, M.E.; Ariën, A. 2007: Prediction of drug solubility in amphiphilic di-block copolymer micelles: the role of polymer-drug compatibility. Die Pharmazie 62(7): 499-504

Sahin, A.; Dincer, I. 2005: Prediction of drying times for irregular shaped multi-dimensional moist solids. Journal of food engineering 71(1): 119-126

Verite, R.; Peyraud, J.L.; Poncet, C. 1989: Prediction of duodenal protein flow in ruminant. Asian-Australasian Journal of Animal Sciences 2(3): 349-350

Gilmour, R.; Whan, B. 1988: Prediction of duration to heading of wheat in Western Australia. Ninth Australian Plant Breeding Conference Wagga Wagga 27th June 1st July 1988 edited by KS McWhirter RW Downes BJ Read: 297

Janka, K.W.llen, J.B.ckman, R. 2004: Prediction of dust content and properties in kraft recovery boilers: comparison of theory and experimental results. Pulp and paper Canada 105(1): 46-50

Sobue, N. 1983: Prediction of dynamic Youngs m. Mokuzai Gakkaishi = Journal of the Japan Wood Research Society 9(1): 14-19

Moriarty, F. 1977: Prediction of ecological effects by pesticides. Linnean Society symposium series: 165-173

Kent, D.; Naney, J.1; Witz, F. 1982: Prediction of economic potential for irrigation using a ground-water model South-central United States. Ground water 20(5): 577-585

Geyer, H.P.litzki, G.F.eitag, D. 1984: Prediction of ecotoxicological behaviour of chemicals: relationship between n-octanol. Chemosphere 3(2): 269-284

Geyer, H.; Sheehan, P.; Kotzias, D.; Freitag, D.; Korte, F. 1982: Prediction of ecotoxicological behaviour of chemicals: relationship between physico-chemical properties and bioaccumulation of organic chemicals in the mussel Mytilus edulis. Chemosphere 1111: 1121-1134

Tomczak, M.Jr 1981: Prediction of environmental changes and the struggle of the Third World for national independence. The case of the Peruvian fisheries. Advances in environmental Science and technology 1(11): 401-435

Wang-Xue-Hai; Mao-Ya-Fei; Yan-Jie 2007: Prediction of epitopes in urease subunit B of Helicobacter pylori and screening by phage display. Zhonghua Weishengwuxue He Mianyixue Zazhi 27(5): 432-437

Roberts, R.S.; Foppa, I.M. 2006: Prediction of equine risk of West Nile virus infection based on dead bird surveillance. Vector Borne and Zoonotic Diseases 6(1): 1-6

Mutchler, C.; Murphree, C. 1981: Prediction of erosion on flatlands. Soil conservation problems and prospects: proceedings of Conservation 80 the International Conference on Soil Conservation held at the National College of Agricultural Engineering Silsoe Beford UK 21st 25th July 1980 edited by RPC Morgan: 325

Maity, S.; Pandya, A. 1975: Prediction of evapotranspiration from pan evaporation for potato. Journal of agricultural engineering 12(2): 19-21

Shariff, M.B.rrelli, J. 1990: Prediction of evapotranspiration using the Borrelli-Sharif equation. Paper American Society of Agricultural Engineers: er 1990 (90-2068)

Shankar, T.; Bandyopadhyay, S. 2007: Prediction of extrudate properties using artificial neural networks. Food and bioproducts processing: transactions of the Institution of Chemical Engineers Part C 85(1): 29-33

Tikuisis, P.; Ducharme, M.B.; Brajkovic, D. 2007: Prediction of facial cooling while walking in cold wind. Computers in Biology and Medicine 37(9): 1225-1231

Marchant, J.A. 1976: Prediction of fan pressure requirements in the drying of large hay bales. Journal of agricultural engineering research 21(4): 333-346

Dugan, L.Jr 1976: Prediction of fat stability. Objective Methods for Food Evaluation Proceedings of a Symposium: ub 1976) 265-277

Trevino, J.C.ballero, R. 1973: Prediction of feed value of forages by laboratory methods. 3. Avances en alimentacion y mejora animal 14(11-12): 563-567

Bjorndal, K.; Moore, J. 1986: Prediction of fermentability of biomass feedstocks from chemical characteristics. Biomass energy development edited by Wayne H Smith: 454

Ramachandran, N.; Verma, G.S.; Gupta, A.K.; Raina, V.S.; Mohanty, T.K.; Singh, M.K. 2007: Prediction of fertility based on frozen-thawed seminal traits in Sahiwal bulls. Indian Journal of Animal Sciences 77(8): 684-687

Bongso, T.A.; Basrur, P.K.; YoungLai, E.V. 1976: Prediction of fetal sex in cattle by testosterone levels in allantoic fluid. Journal of Reproduction and Fertility 46(2): 441-442

Kwapinska, M.Z.icinski, I. 2005: Prediction of final product properties after cocurrent spray drying. Drying technology 3(8): 1653-1665

Bokelmann, W. 1995: Prediction of financial crisis in horticultural firms. Acta Horticulturae 340: 163-170

Marshall, J.; Waring, R. 1985: Prediction of fine root production and turnover from accumulation and depletion of starch. Proceedings of the 6th North American Conference on Mycorrhizae: June 25-29-1984 Bend Oregon compiled and edited by Randy Molina sponsoring institutions Oregon State University College of Forestry and USDA

Inkrott, D.G.uld, W. 1979: Prediction of finished product juice color from raw product tomato color. Research circular: (250) 10-13

Heap, S.; Greenwood, P.; Leah, R.; Eaton, J.; Stevens, J.; Keher, P. 1985: Prediction of finished relaxed dimensions of cotton knits--the Starfish project. II. Shrinkage and the reference state. Textile research journal 55(4): 211-222

Heap, S.; Greenwood, P.; Leah, R.; Eaton, J.; Stevens, J. 1983: Prediction of finished weight and shrinkage of cotton knits--the Starfish project. Textile research journal 53(3): 109-119

Wang, S.; Lu, H.; Shen, Z.; Liu, H.; Bouillard, J. 2007: Prediction of flow behavior of micro-particles in risers in the presence of van der Waals forces. Chemical Engineering Journal 132(1-3): 137-149

Jensen, B.; Friis, A. 2004: Prediction of flow in mix-proof valve by use of CFD - validation by LDA. Journal of food process engineering 27(1): 65-85

Mericle, R.; Christianson, M.; Mericle, L. 1974: Prediction of flower color genotype in Tradescantia by somatic cell analyses. Journal of heredity 65(1): 21-27

Hadders, G. 1983: Prediction of flowering in seed orchards of spruce. Skogstradsforadling Institutet for skogsforbattring: 1984 (4)

Pezo, D.V.hnout, K.V.larde, C.; Camargo, A. 1977: Prediction of forage consumption on the basis of chemical fractions and digestibility parameters. Turrialba 27(2): 157-162

Carlier, L.; Hee, L.-Van; Andries, A. 1979: Prediction of forage digestibility by pepsin-cellulase or by rumen liquor-pepsin treatment. Revue de l'agriculture 32(1): 147-157

Robert, P.B.rtrand, D.D.marquilly, C. 1986: Prediction of forage digestibility by principal component analysis of near infrared reflectance spectra. Animal feed science and technology 16(3): 215-224

Barton, F.I.; Burdick, D. 1983: Prediction of forage quality with NIR Near-infrared reflectance spectroscopy. Proceedings of the XVI International Grassland Congress: held at Lexington Kentucky USA June 15-24-1981 edited by J Allan Smith and Virgil W Hays: 534

Hsieh, R.; Lerew, L.; Heldman, D. 1977: Prediction of freezing times for foods as influenced by product properties. Journal of Food Process Engineering 1(2): 183-197

Kayumi, S. 1980: Prediction of frequency of late frost injury for tea plant and application of the method. Farming Japan 4(2): 43-47

Scott, E.; Heldman, D. 1984: Prediction of frozen food quality during fluctuating temperature storage. Paper American Society of Agricultural Engineers Microfiche collection: er 1984 (84-6520)

Bryliński, M.ł; Prymula, K.; Jurkowski, W.; Kochańczyk, M.; Stawowczyk, E.; Konieczny, L.; Roterman, I. 2007: Prediction of functional sites based on the fuzzy oil drop model. Plos Computational Biology 3(5): E94

Jahandideh, S.; Abdolmaleki, P.; Asadabadi, E.Barzegari. 2007: Prediction of future citations of a research paper from number of its internet downloads. Medical Hypotheses 69(2): 458-459

Young, C.; Oakes, D.; Wilkinson, W. 1976: Prediction of future nitrate concentrations in ground water. Ground water 14(6): 426-438

Samsonova, A.A.; Niranjan, M.; Russell, S.; Brazma, A. 2007: Prediction of gene expression in embryonic structures of Drosophila melanogaster. Plos Computational Biology 3(7): E144

Paiva, Jr-De; Miranda-Filho, Jb-De1; Siqueira, Er-De1; Valois, Acco 1982: Prediction of genetic gain for some rubber tree characters utilizing three different schemes of selections Hevea.1. Pesquisa agropecuaria brasileira 7(11): 1647-1653

Paiva, Jr; Miranda-Filho, Jbo 1979: Prediction of genetic gain for some traits in rubber tree (Hevea sp.) under three selection schemes Brazil.1. Relatorio cientifico Escola Superior de Agricultura "Luiz de Queiroz" Departamento de Genetica Instituto de Genetica: 3) 213-225

Obayashi, T.A.ada, Y.T.rawaki, Y. 2000: Prediction of genetic progress using embryo production models developed for the Japanese MOET Holstein population. Asian Australasian journal of animal sciences: 1371

Rigalleau, V.; Lasseur, C.; Raffaitin, C.; Perlemoine, C.; Barthe, N.; Chauveau, P.; Combe, C.; Gin, H. 2006: Prediction of glomerular filtration rate decline in diabetic subjects with impaired renal function. Nephrology Dialysis Transplantation: Official Publication of the European Dialysis and Transplant Association - European Renal Association 22(3): 959

Xiao ChunHua; Li ShaoKun; Lu YanLi; Wang KeRu; Xie RuiZhi; Gao ShiJu; Li XiaoJun; Sui XueYan 2007: Prediction of grain protein content based on parallel plane spectral characteristics of winter wheat canopy. Acta Agronomica Sinica 33(9): 1468-1473

Pettersson, C.; Eckersten, H. 2007: Prediction of grain protein in spring malting barley grown in northern Europe. European journal of agronomy 27(2-4): 205-214

Fidaleo, M.; Moresi, M. 2007: Prediction of grape sugar solubility in water/ethanol systems. Industrie delle Bevande 36(210): 341-344

Kazieko, H.; Kazieko, L. 2007: Prediction of groundwater level lawering due to vertical drainage systems. Przeglad Naukowy Inzynieria i Ksztatowanie Srodowiska 16(1): 26-33

Flisowski, J. 1980: Prediction of groundwater levels in the surroundings of river dams by electroanalog simulation. Zeitschrift fur Kulturtechnik und Flurbereinigung 21(6): 335-343

Clutter, J.; Jones, E.J. 1980: Prediction of growth after thinning in old-field slash pine plantations. USDA Forest Service research paper SE United States Southeastern Forest Experiment Station: 80 (217)

Leslie, A.; Winchester, J.; Leysieffer, F.; Ahlberg, M. 1976: Prediction of health effects of pollution aerosols. Trace Substances in Environmental Health Proceedings of University of Missouri's Annual Conference: 0th 497-504

Sokhansanj, S.G.stafson, R. 1980: Prediction of heat and mass transfer within a grain kernel - a finite element application. Proceedings International Symposium on Drying(2): 229-232

Peralta, J.; Rubiolo, A.; Zorrilla, S. 2007: Prediction of heat capacity, density and freezing point of liquid refrigerant solutions using an excess Gibbs energy model. Journal of food engineering 82(4): 548-558

Webster, A.J. 1971: Prediction of heat losses from cattle exposed to cold outdoor environments. Journal of Applied Physiology 30(5): 684-690

Kawaji, M.S.en, X.; Tran, H.E.aki, S.D.es, C. 1995: Prediction of heat transfer in the kraft recovery boiler superheater region. TAPPI Journal 78(10): 214-221

Schutz, H.; Damrell, J. 1974: Prediction of hedonic ratings of rice by sensory analysis. Journal of food science 39(1): 203-206

Shikhov, I.; Khamitsaeva, M.; Boinovich, M. 1987: Prediction of heifers milk yield by quantitative analysis of DNA in cell nuclei of sweat glands. Soviet agricultural sciences: ) 34-37

Castaneda, F.R.mirez, M. 1978: Prediction of higher diameter, without bark, in Pinaceae in Olancho, Honduras. Turrialba t 28(3): 193-195

Sheikholeslami, R.W.tkinson, A. 1993: Prediction of hogged-fuel drying times. TAPPI Journal 76(6): 99-104

Orth, P.G.; Bradley, J.T. 1972: Prediction of hourly temperatures on cold nights for inland Dade County, Florida. Proceedings of the Florida State Horticultural Society 84: 326-330

Dierickx, P.J. 2005: Prediction of human acute toxicity by the Hep G2. Alternatives to laboratory animals: ATLA 33(3): 207-213

De Buck, S.S.; Sinha, V.K.; Fenu, L.A.; Nijsen, M.J.; Mackie, C.E.; Gilissen, R.A.H.J. 2007: Prediction of human pharmacokinetics using physiologically based modeling: a retrospective analysis of 26 clinically tested drugs. Drug Metabolism and Disposition: the Biological Fate of Chemicals 35(10): 1766-1780

Chander, S.S.olia, S.; Kumar, A. 1979: Prediction of hydrologic characteristics of droughts. Hydrological aspects of droughts: international symposium 3-7 December 1979 New Delhi: proceedings: 318

Gupta, P.; Pradhan, K. 1975: Prediction of in vitro dry matter digestibility of legume and non-legume forages from various chemical constituents. Indian journal of dairy science 28(1): 12-16

Shimazui, T.; Ami, Y.; Yoshikawa, K.; Uchida, K.; Kojima, T.; Oikawa, T.; Nakamura, K.; Honda, N.; Hinotsu, S.; Miyazaki, J.; Kunita, N.; Akaza, H. 2007: Prediction of in vitro response to interferon-alpha in renal cell carcinoma cell lines. Cancer Science 98(4): 529-534

Wilson, P.W.F.; Meigs, J.B.; Sullivan, L.; Fox, C.S.; Nathan, D.M.; D'Agostino, R.B. 2007: Prediction of incident diabetes mellitus in middle-aged adults: the Framingham Offspring Study. Archives of Internal Medicine 167(10): 1068-1074

Fagan, C.; Everard, C.O.-Donnell, C.; Downey, G.O.-Callaghan, D. 2005: Prediction of inorganic salt and moisture content of process cheese using dielectric spectroscopy. International journal of food properties(3): 543-557

Coleman, S.; Stuth, J.; Holloway, J. 1995: Prediction of intake by near-infrared spectroscopic analysis of fecal samples. Research report P (942) 145-155

Montes, F.; Catalan, J.G.lan, M. 1999: Prediction of kLa in yeast broths. Process biochemistry 4(6-7): 549-555

Nugent, J.H.; Ruffle, S.V.; Berry, M.C. 1993: Prediction of key structural features in the polypeptides of photosystems i and Ii. Biochemical Society Transactions 21(1): 22-25

Valin, C.; Touraille, C.; Vigneron, P.; Ashmore, C.R. 1982: Prediction of lamb meat quality traits based on muscle biopsy fibre typing. Meat Science 6(4): 257-263

Mead, S.; Maffei, W.; Mcmahon, T. 1991: Prediction of larval source temperatures by ECOSIM. Proceedings and papers of the annual conference of the California Mosquito and Vector Control Association 8(58): 81-85

Goenaga, P.; Lloveras, M.R.; Guerra, G.; Amendola, C. 2005: Prediction of lean meat content in pork carcasses with Henessy Grading Probe and Fat-O-Meater. Revista Argentina de Produccion Animal 25(Supl. 1): TPP10

Goenaga, P.; Lloveras, M.R.; Guerra, G.; Amendola, C. 2007: Prediction of lean meat content in pork carcasses with Hennessy Grading Probe and Fat-O-Meater in Argentina (Communication). Revista Argentina de Produccion Animal 27(1): 47-53

Everett, A.; Palm, W.; Bitcover, E.; Scherr, H.; Metzger, V. 1976: Prediction of leather strength from needle penetrometer measurements on wet blue stock after splitting. Journal of the American Leather Chemists Association 71(10): 448-464

Lund, G.K.; Stork, A.; Muellerleile, K.; Barmeyer, A.A.; Bansmann, M.P.; Knefel, M.; Schlichting, U.; Müller, M.; Verde, P.E.; Adam, G.; Meinertz, T.; Saeed, M. 2007: Prediction of left ventricular remodeling and analysis of infarct resorption in patients with reperfused myocardial infarcts by using contrast-enhanced MR imaging. Radiology 245(1): 95-102

Appelros, P. 2007: Prediction of length of stay for stroke patients. Acta Neurologica Scandinavica 116(1): 15-19

Gutreuter, S.; Boogaard, M.A. 2007: Prediction of lethal/effective concentration/dose in the presence of multiple auxiliary covariates and components of variance. Environmental Toxicology and Chemistry 26(9): 1978-1986

Waser, L., T.; Kuechler, M.-; Schwarz, M.-; Ivits, E.-; Stofer, S.-; Scheidegger, C. 2007: Prediction of lichen diversity in an UNESCO biosphere reserve - correlation of high resolution remote sensing data with field samples. Environmental modeling and assessment 12(4): 315-328

Chen, J.; Liu, H.; Yang, J.; Chou, K.-C. 2007: Prediction of linear B-cell epitopes using amino acid pair antigenicity scale. Amino Acids 33(3): 423-428

Pan, J-Jung.; Yang, C-Fen.; Chu, C-Jen.; Chang, F-Young.; Lee, S-Dong. 2007: Prediction of liver fibrosis in patients with chronic hepatitis B by serum markers. Hepato-Gastroenterology 54(77): 1503-1506

Verma, R.D. 1979: Prediction of low stream flows during droughts. Hydrological aspects of droughts: international symposium 3-7 December 1979 New Delhi: proceedings: 119

Ornella, L.; Eyherabide, G.; Rienzo, J. di; Cantet, J.; Balzarini, M. 2007: Prediction of maize (Zea mays L.) combining ability using molecular markers and mixed linear models theory. Maize Genetics Cooperation Newsletter 81: 23-24

Draganic, M. 1983: Prediction of maize resistance to stalk rot (Gibberella zeae) based on the degree of resistance of parent components. Zastita bilja = Plant protection 4(2): 207-211

Marquez Sanchez, F. 2007: Prediction of maize synthetics made with single crosses. Agrociencia Montecillo 41(6): 647-651

Peet, R.; Glenn-Lewin, D.; Wolf, J. 1983: Prediction of mans impact on plant species diversity. A challenge for vegetation science. Geobotany ) 41-54

Dzheneev, S.; Chausov, L.; Ivanchenko, V.; L'-Vova, A. 1979: Prediction of marketing times for grapes stored in a controllable gas atmosphere. Soviet agricultural sciences: ) 29-31

Ilicali, C.E.gez, S.; Cetin, M. 1992: Prediction of mass-average and surface temperatures, and the temperature profiles at the completion of freezing for shapes involving one-dimensional heat transfer. Journal of food process engineering 15(4): 279-297

Faulkner, J.; Parfitt, G.; Eston, R. 2007: Prediction of maximal oxygen uptake from the ratings of perceived exertion and heart rate during a perceptually-regulated sub-maximal exercise test in active and sedentary participants. European Journal of Applied Physiology 101(3): 397-407

Waylen, P.W.o, M. 1982: Prediction of mean annual flows in the Eraser River catchment, British Columbia Canada. Water resources bulletin 18(4): 707-711

Surajit Chattopadhyay 2007: Prediction of mean monthly total ozone time series - application of radial basis function network. International Journal of Remote Sensing 28(17/18): 4037-4046

Alvarez, D.C.stillo, M.P.yne, F.; Garrido, M.; Banon, S.X.ong, Y. 2007: Prediction of meat emulsion stability using reflection photometry. Journal of food engineering 82(3): 310-315

Venkatesh, V.E.wards, L. 1977: Prediction of mechanical pulp handsheet and drainage properties for use in mill control and design. Svensk Papperstidning 80(13): 422-430

Pu, X.; Guo, J.; Leung, H.; Lin, Y. 2007: Prediction of membrane protein types from sequences and position-specific scoring matrices. Journal of Theoretical Biology 247(2): 259-265

Kashimura, H.; Inoue, T.; Ogasawara, K.; Arai, H.; Otawara, Y.; Kanbara, Y.; Ogawa, A. 2007: Prediction of meningioma consistency using fractional anisotropy value measured by magnetic resonance imaging. Journal of Neurosurgery 107(4): 784-787

Papadopoulos, A.; Reid, B.J.; Semple, K.T. 2007: Prediction of microbial accessibility of carbon-14-phenanthrene in soil in the presence of pyrene or benzo[a]pyrene using an aqueous cyclodextrin extraction technique. Journal of Environmental Quality 36(5): 1385-1391

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Mozaffarian, D.; Anker, S.D.; Anand, I.; Linker, D.T.; Sullivan, M.D.; Cleland, J.G.F.; Carson, P.E.; Maggioni, A.P.; Mann, D.L.; Pitt, B.; Poole-Wilson, P.A.; Levy, W.C. 2007: Prediction of mode of death in heart failure: the Seattle Heart Failure Model. Circulation 116(4): 392-398

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Martinez-Vera, C.G.lan-Domingo, O.V.zcarra-Mendoza, M.R.iz-Martinez, R. 1995: Prediction of moisture content evolution in a grain batch drying based on on-line temperature measurements. Drying technology 3(8-9): 2123-2131

Cardoso, G.L.buza, T. 1983: Prediction of moisture gain and loss for packaged pasta subjected to a sine wave temperature. Journal of food technology 18(5): 587-606

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Hill, W.G.; Weir, B.S. 2007: Prediction of multi-locus inbreeding coefficients and relation to linkage disequilibrium in random mating populations. Theoretical Population Biology 72(2): 179-185

Liao, Q.; Yao, J.; Yuan, S. 2007: Prediction of mutagenic toxicity by combination of Recursive Partitioning and Support Vector Machines. Molecular Diversity 11(2): 59-72

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Sondermann, H.H., A.; Listenberger, L.; Siegers, K.M.arefi, I.W.nte, S.; Hartl, F.; Young, J. 2002: Prediction of novel Bag-1 homologs based on structure. Journal of Biological Chemistry 277(36): 33220-33227

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Whitmore, R.G.; Krejza, J.; Kapoor, G.S.; Huse, J.; Woo, J.H.; Bloom, S.; Lopinto, J.; Wolf, R.L.; Judy, K.; Rosenfeld, M.R.; Biegel, J.A.; Melhem, E.R.; O'Rourke, D.M. 2007: Prediction of oligodendroglial tumor subtype and grade using perfusion weighted magnetic resonance imaging. Journal of Neurosurgery 107(3): 600-609

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Kasai, M.S.imada, A. 1985: Prediction of optimum cooking time of potato based on softening rate. Nippon Shokuhin Kogyo Gakkaishi = Journal of Japanese Society of Food Science and Technology 2(5): 360-364

Fujioka, Y.; Kadono, K.; Fujie, Y.; Metsugi, Y.; Ogawara, K.-i.; Higaki, K.; Kimura, T. 2007: Prediction of oral absorption of griseofulvin, a BCS class Ii drug, based on GITA model: utilization of a more suitable medium for in-vitro dissolution study. Journal of Controlled Release: Official Journal of the Controlled Release Society 119(2): 222-228

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Fiddes, D. 1981: Prediction of peak discharges from small rural catchments. East African agricultural and forestry journalub 1981) 43(43): 265-272

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Baeza-Baeza, J.J.; Ruiz-Angel, M.J.; García-Alvarez-Coque, M.C. 2007: Prediction of peak shape in hydro-organic and micellar-organic liquid chromatography as a function of mobile phase composition. Journal of Chromatography. a 1163(1-2): 119-127

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Cao Ning; Chen XinPing; Zhang FuSuo; Qu Dong 2007: Prediction of phosphate fertilizer demand in China based on change in soil phosphate fertility. Acta Pedologica Sinica 44(3): 536-543

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Kim, K.-Jung; Hwang, I.-Kyu 2006: Prediction of resonance characteristics of the forearm bones using finite element analysis. Journal of Musculoskeletal Research 10(4): 205-215

Kato, H.; Fukuchi, M.; Miyazaki, T.; Nakajima, M.; Tanaka, N.; Inose, T.; Kimura, H.; Faried, A.; Saito, K.; Sohda, M.; Fukai, Y.; Masuda, N.; Manda, R.; Ojima, H.; Tsukada, K.; Oriuchi, N.; Endo, K.; Nonaka, T.; Shioya, M.; Ishikawa, H.; Sakurai, H.; Nakano, T.; Kuwano, H. 2007: Prediction of response to definitive chemoradiotherapy in esophageal cancer using positron emission tomography. Anticancer Research 27(4c): 2627-2633

Yonemori, K.; Katsumata, N.; Kaneko, M.; Uno, H.; Matsumoto, K.; Kouno, T.; Shimizu, C.; Ando, M.; Takeuchi, M.; Fujiwara, Y. 2007: Prediction of response to repeat utilization of anthracycline in recurrent breast cancer patients previously administered anthracycline-containing chemotherapeutic regimens as neoadjuvant or adjuvant chemotherapy. Breast Cancer Research and Treatment 103(3): 313-318

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Frankenfield, D.; Hise, M.; Malone, A.; Russell, M.; Gradwell, E.; Compher, C. 2007: Prediction of resting metabolic rate in critically ill adult patients: results of a systematic review of the evidence. Journal of the American Dietetic Association 107(9): 1552-1561

Hanai, T.K.izumi, K.K.noshita, T. 2000: Prediction of retention factors of phenolic and nitrogen-containing compounds in reversed-phase liquid chromatography based on logP and pKa obtained by computational chemical calculation. Journal of liquid chromatography and related technologies 3(3): 363-385

Aldaeus, F.; Thewalim, Y.; Colmsjö, A. 2007: Prediction of retention times of polycyclic aromatic hydrocarbons and n-alkanes in temperature-programmed gas chromatography. Analytical and Bioanalytical Chemistry 389(3): 941-950

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Zembutsu, H.; Yanada, M.; Hishida, A.; Katagiri, T.; Tsuruo, T.; Sugiura, I.; Takeuchi, J.; Usui, N.; Naoe, T.; Nakamura, Y.; Ohno, R. 2007: Prediction of risk of disease recurrence by genome-wide cDNA microarray analysis in patients with Philadelphia chromosome-positive acute lymphoblastic leukemia treated with imatinib-combined chemotherapy. International Journal of Oncology 31(2): 313-322

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Valerio, L.G.; Arvidson, K.B.; Chanderbhan, R.F.; Contrera, J.F. 2007: Prediction of rodent carcinogenic potential of naturally occurring chemicals in the human diet using high-throughput QSAR predictive modeling. Toxicology and Applied Pharmacology 222(1): 1-16

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Barabanov, A.T. 1986: Prediction of runoff of meltwater in south of central region of nonchernozem zone of RSFSR. Soviet agricultural sciences: 2) 23-27

Paliwal, K.; Khodier, M. 1986: Prediction of salinity in the soils of central Iraq from electrical conductivity at different soil water ratios. Annals of arid zone 25(3): 237-238

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Pandey, R.; Bandyopadhya, A. 1980: Prediction of salt movement in heavy textured cracked soil. Journal of agricultural engineering 17(2): 93-96

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Pokorny, J.V.lisek, J.T.levantou, M.H.dlickova, M.K.rnet, J.D.videk, J. 1978: Prediction of sensory quality of orange beverage on the basis of gas chromatographic profiles. Nahrung 51(12): 661-667

Zhang, H.; Kong, S.; Booth, A.; Boushaba, R.; Levy, M.S.; Hoare, M. 2007: Prediction of shear damage of plasmid DNA in pump and centrifuge operations using an ultra scale-down device. Biotechnology Progress 23(4): 858-865

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Keshavarz, M.H.; Motamedoshariati, H.; Pouretedal, H.R.; Tehrani, M.K.; Semnani, A. 2007: Prediction of shock sensitivity of explosives based on small-scale gap test. Journal of Hazardous Materials 145(1-2): 109-112

Schweizer, M.; Chevalot, I.; Blanchard, F.; Fournier, F.; Harscoat-Schiavo, C.; Vanderesse, R.; Marc, I. 2007: Prediction of short peptides composition by RP-HPLC coupled to ESI mass spectrometry. Food Chemistry 105(4): 1606-1613

Chen TingFang; Cui Peng; Chen XingChang 2007: Prediction of soil erosion on different underlaying surface in construction period of Xichang to Panzhihua expressway. Wuhan University Journal of Natural Sciences 12(4): 699-704

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Yang Juan; Wang ChangQuan; Li Bing; Li HuanXiu; He Xin 2007: Prediction of soil heavy metal pollution of peri-urban zone based on BP artificial neural network - a case study of the Chengdu Plain. Acta Pedologica Sinica 44(3): 430-436

Yang Shao'e; Huang YuanFang 2007: Prediction of soil hydraulic characteristic parameters based on support vector machine. Transactions of the Chinese Society of Agricultural Engineering 23(7): 42-47

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Chen-Chih-Wu; Jen-Hshuan-Chen 2007: Prediction of spatial distribution of lime requirement in strongly acidic soils by geostatistics. Taiwanese Journal of Agricultural Chemistry and Food Science 45(3): 163-171

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Petrovecki, V.; Mayer, D.; Slaus, M.; Strinović, D.; Skavić, J. 2007: Prediction of stature based on radiographic measurements of cadaver long bones: a study of the Croatian population. Journal of Forensic Sciences 52(3): 547-552

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Bessho, M.; Ohnishi, I.; Matsuyama, J.; Matsumoto, T.; Imai, K.; Nakamura, K. 2007: Prediction of strength and strain of the proximal femur by a CT-based finite element method. Journal of Biomechanics 40(8): 1745-1753

Bisdas, S.; Hartel, M.; Cheong, L.H.; Koh, T.S.; Vogl, T.J. 2007: Prediction of subsequent hemorrhage in acute ischemic stroke using permeability CT imaging and a distributed parameter tracer kinetic model. Journal of Neuroradiology 34(2): 101-108

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Wang, J.; Du, H.; Liu, H.; Yao, X.; Hu, Z.; Fan, B. 2007: Prediction of surface tension for common compounds based on novel methods using heuristic method and support vector machine. Talanta 73(1): 147-156

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Heo, J.; Han, S.-K.; Vaidehi, N.; Wendel, J.; Kekenes-Huskey, P.; Goddard, W.A. 2007: Prediction of the 3D structure of FMRF-amide neuropeptides bound to the mouse MrgC11 GPCR and experimental validation. Chembiochem: a European Journal of Chemical Biology 8(13): 1527-1539

Li, Y.; Zhu, F.; Vaidehi, N.; Goddard, W.A.; Sheinerman, F.; Reiling, S.; Morize, I.; Mu, L.; Harris, K.; Ardati, A.; Laoui, A. 2007: Prediction of the 3D structure and dynamics of human DP G-protein coupled receptor bound to an agonist and an antagonist. Journal of the American Chemical Society 129(35): 10720-10731

Kasrayan, A.; Bocola, M.; Sandström, A.G.; Lavén, G.; Bäckvall, J.-E. 2007: Prediction of the Candida antarctica lipase a protein structure by comparative modeling and site-directed mutagenesis. Chembiochem: a European Journal of Chemical Biology 8(12): 1409-1415

Zhu, X.H.; Wang, W.; Schramm, K.W.; Niu, W. 2007: Prediction of the KovcLts Retention Indices of Thiols by Use of Quantum Chemical and Physicochemical Descriptors. Chromatographia 65(11-12): 719-724

Doulia, D.K.tsinis, G.R.gas, F. 2006: Prediction of the Mould-Free Shelf Life of Muffins. International journal of food properties(4): 637-650

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Albillos, S.M.; Busto, M.ía.D.; Perez-Mateos, M.; Ortega, N. 2006: Prediction of the ripening times of ewe's milk cheese by multivariate regression analysis of capillary electrophoresis casein fractions. Journal of Agricultural and Food Chemistry 54(21): 8281-8287

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Antonets, D.V.; Bakulina, A.Y.; Portnyagina, O.Y.; Sidorova, O.V.; Novikova, O.D.; Maksyutov, A.Z. 2007: Prediction of the antigenic-active regions of Yersinia pseudotuberculosis OmpF-like porin. Doklady Akademii Nauk 414(4): 544-546

Ferri, C.M.; Stritzler, N.P. 2005: Prediction of the blade/total aboveground biomass ratio in Panicum coloratum L. Revista Argentina de Produccion Animal 25(Supl. 1): PP65

Branlard, G. 1987: Prediction of the bread wheat quality from HMW glutenins and gliadins. Proceedings of the 3rd International Workshop on Gluten Proteins Budapest Hungary May 9-12-1987 editors R Lasztity F Bekes: 612

Eisner, F.; Kurt-Umerov, V.; Vlasov, V.; Nepomnyashchii, A. 1975: Prediction of the breeding value of bulls selected on the basis of ancestral indices. Cytology and genetics: ransl 1976), 9 (1) 26-30

Thompson, B.H.mmersley, M. 1978: Prediction of the colour of scoured wool blends. Journal of the Textile Institute 9(1): 1-7

Damgaard, C.; Kjellsson, G.; Haldrup, C. 2007: Prediction of the combined effect of various GM contamination sources of seed: A case study of oilseed rape under Danish conditions. Acta Agriculturae Scandinavica Section B Soil and Plant Science 57(3): 248-254

Burger, N.L.bert, M.H.rn, R. 1988: Prediction of the compressibility of arable land. Impact of water and external forces on soil structure: selected papers of the 1st Workshop on Soilphysics sic and Soilmechanics sic Hannover 1986 J Drescher R Horn and M de Boodt Editors: 151

Iglesias, H.; Chirife, J. 1976: Prediction of the effect of temperature on water sorption isotherms of food material. Journal of food technology 11(2): 109-116

Kinai, E.; Hanabusa, H.; Kato, S. 2007: Prediction of the efficacy of antiviral therapy for hepatitis C virus infection by an ultrasensitive RT-PCR assay. Journal of Medical Virology 79(8): 1113-1119

Rein, P.W. 1974: Prediction of the extraction performance of a diffuser using a mathematical model. Proceedings of the congress: 5th (v 3) 1523-1537

Byerly, T.C. 1979: Prediction of the food intake of laying hens. Food intake regulation in poultry: ub 1979) (14th) 327-363

Lin, H.H.; Han, L.Y.; Zhang, H.L.; Zheng, C.J.; Xie, B.; Cao, Z.W.; Chen, Y.Z. 2006: Prediction of the functional class of metal-binding proteins from sequence derived physicochemical properties by support vector machine approach. Bmc Bioinformatics 7(Suppl 5): S13

Fischbeck, G.R.iner, L. 1970: Prediction of the germ dormancy and water sensitivity of the 1970 age group barleys. Brauwelt 110 (69) 1287-1289

Yamazaki, M.A.do, M.H.rii, S.K.meoka, K. 1982: Prediction of the gross energy. Bulletin of National Institute of Animal Industry = Chikusan Shikenjo kenkyu hokoku: (38) 93-95

Maruta, I.M.rita, Y. 1982: Prediction of the ground water. Kenkyu hokoku = Journal of the Niigata Agricultural Experiment Station: (31) 11-19

Rodov, E.G.; Lensky, A.V. 2006: Prediction of the indices of resources consumption and production intensification in plant growing. Proceedings of the National Academy of Sciences of Belarus, Agrarian Sciences Series 2: 95-101

Steen, R.; Gordon, F.; Mayne, C.; Poots, R.; Kilpatrick, D.; Unsworth, E.; Barnes, R.; Porter, M.; Pippard, C. 1995: Prediction of the intake of grass silage by cattle. Recent advances in animal nutrition: 7-89

Bucinski, A.; Zielinski, H.; Kozowska, H. 2007: Prediction of the kind of sprouts of Cruciferae family based on artificial neural network analysis. Czech Journal of Food Sciences 25(4): 189-194

Webster, R. 1981: Prediction of the lautering performance of malt. Journal of the Institute of Brewing 87(1): 52-56

Mintiens, K.L.evens, H.D.wulf, J.B.elaert, F. 2001: Prediction of the likelihood of spread of classical swine fever virus through neighbourhood infections for different regions in Belgium. Proceedings of a meeting held at the on the -5

Gocan, S.; Irimie, F.; Cimpan, G. 1994: Prediction of the lipophilicity of some plant growth-stimulating amido esters of ethanolamine using reversed-phase thin-layer chromatography. Journal of Chromatography A 675(1-2): 282-285

Reeves, S.; Baxter, E.; Martin, H.; Wainwright, T. 1979: Prediction of the malting quality of barley by a modified Zeleny sedimentation test. Journal 85(3): 141-143

Malik, R.; Dahiya, I.1; Singh, M. 1980: Prediction of the maximum height of capillary rise in porous media from capillary-flow dynamics Water movement in soils. International Symposium on Salt Affected Soils: 18 to 21 February 1980: 242

Eeckhout, W.B.ysse, F.; Moermans, R. 1981: Prediction of the net energy value (NEFs Rostock) and the digestibility of the crude protein fraction, of commercial mixed diets for pigs, from dietary chemical analysis. Revue de l'agriculture 34(1): 93-105

Trevino, J.C.ballero, R. 1973: Prediction of the nutritive value of forages by laboratory methods. 2. Avances en alimentacion y mejora animal 14(10): 497-502

Mirtskhulava, T.; Nadirashvili, V. 1977: Prediction of the onset of wind erosion. Soviet agriculture sciences: ransl 1977), 5 41-43

Jaradat, S.A.si, N. 2007: Prediction of the optimum harvest date for three apple (Malus domestica Borkh.) cultivars in Jordan. Acta Horticulturae 741: 3-80

Moll, M.V.nh, T.F.ayeux, R.M.ller, P.M.nnez, J. 1981: Prediction of the organoleptic quality of beer. Quality of foods and beverages: chemistry and technology edited by George Charalambous George Inglett: 166