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References:

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Ma, J.L.C.; Lai, K.; Wan, E.S.F. 2015: Maltreatment in Parent–Child Relationships of Chinese Families with Children Suffering from Attention Deficit Hyperactivity Disorder in Hong Kong: a Qualitative Study. British Journal of Social Work 46(7): 2051-2069
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Mathews, G.M. 1909: Malurus dulcis (Lavender-flanked Wren), sp. nov. Emu - Austral Ornithology 8(3): 113-114
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Jones, G.P. 2004: Malvolio Flouted and Abused. English Language Notes 42(1): 20-26
Linthicum, M.C. 1927: Malvolio's Cross-Gartered Yellow Stockings. Modern Philology 25(1): 87-93
Sharma, A.; Gandotra, E.; Bansal, D.; Gupta, D. 2019: Malware Capability Assessment using Fuzzy Logic. Cybernetics and Systems 50(4): 323-338
Qiao, Y.; Zhang, W.; Du, X.; Guizani, M. 2022: Malware Classification Based on Multilayer Perception and Word2Vec for Io T Security. ACM Transactions on Internet Technology 22(1): 1-22
Hijazi, M.H.A.; Beng, T.C.; Mountstephens, J.; Lim, Y.; Nisar, K. 2018: Malware Classification Using Ensemble Classifiers. Advanced Science Letters 24(2): 1172-1176
Xue, D.; Li, J.; Lv, T.; Wu, W.; Wang, J. 2019: Malware Classification Using Probability Scoring and Machine Learning. IEEE Access 7: 91641-91656
Shan, Z.; Xin Wang; Tzi-cker Chiueh, 2013: Malware Clearance for Secure Commitment of OS-Level Virtual Machines. IEEE Transactions on Dependable and Secure Computing 10(2): 70-83
Cheng, B.; Tong, Q.; Wang, J.; Tian, W. 2019: Malware Clustering Using Family Dependency Graph. IEEE Access 7: 72267-72272
Xiao, F.; Lin, Z.; Sun, Y.; Ma, Y. 2019: Malware Detection Based on Deep Learning of Behavior Graphs. Mathematical Problems in Engineering 2019: 1-10
Cilleruelo, C.; Enrique-Larriba; De-Marcos, L.; Martinez-Herraiz, J. 2021: Malware Detection Inside App Stores Based on Lifespan Measurements. IEEE Access 9: 119967-119976
Kaushik, P.; Jain, A. 2015: Malware Detection Techniques in Android. International Journal of Computer Applications 122(17): 22-26
Wang, R.; Tian, C.; Yan, L. 2021: Malware Detection Using CNN via Word Embedding in Cloud Computing Infrastructure. Scientific Programming 2021: 1-7
Kedziora, M.; Gawin, P.; Szczepanik, M.; Jozwiak, I. 2019: Malware Detection Using Machine Learning Algorithms and Reverse Engineering of Android Java Code. International Journal of Network Security-Its Applications 11(01): 01-14
Putin, E.; Filchenkov, A. 2016: Malware Detection Using Merged Feature Spaces and Stacked Classifiers. Advanced Science Letters 22(10): 2995-2998
Kao, Y.; Reich, B.; Storlie, C.; Anderson, B. 2015: Malware Detection Using Nonparametric Bayesian Clustering and Classification Techniques. Technometrics 57(4): 535-546
Watson, M.R.; Shirazi, N.; Marnerides, A.K.; Mauthe, A.; Hutchison, D. 2016: Malware Detection in Cloud Computing Infrastructures. IEEE Transactions on Dependable and Secure Computing 13(2): 192-205
Park, S.; Choi, J. 2020: Malware Detection in Self-Driving Vehicles Using Machine Learning Algorithms. Journal of Advanced Transportation 2020: 1-9
Sethia, V.; Kataria, S.; A, J. 2020: Malware Detection using ANN Malviz.Ai. International Journal of Engineering and Advanced Technology 9(4): 2418-2423
Ravi, C.; Manoharan, R. 2012: Malware Detection using Windows APi Sequence and Machine Learning. International Journal of Computer Applications 43(17): 12-16
Fu, Y.; Xu, J. 2019: Malware Detection via Extended Label Propagation Through Graph Inference. IEEE Access 7: 157830-157840
Georgiou, N.; Konstantinidis, A.; Papadopoulos, H. 2016: Malware Detection with Confidence Guarantees on Android Devices. IFIP Advances in Information and Communication Technology: 407-418
Afianian, A.; Niksefat, S.; Sadeghiyan, B.; Baptiste, D. 2020: Malware Dynamic Analysis Evasion Techniques. ACM Computing Surveys 52(6): 1-28
Hsiao, S.; Kao, D.; Liu, Z.; Tso, R. 2019: Malware Image Classification Using One-Shot Learning with Siamese Networks. Procedia Computer Science 159: 1863-1871
Yu, S.; Gu, G.; Barnawi, A.; Guo, S.; Stojmenovic, I. 2015: Malware Propagation in Large-Scale Networks. IEEE Transactions on Knowledge and Data Engineering 27(1): 170-179
Liu, B.; Zhou, W.; Gao, L.; Zhou, H.; Luan, T.H.; Wen, S. 2018: Malware Propagations in Wireless Ad Hoc Networks. IEEE Transactions on Dependable and Secure Computing 15(6): 1016-1026
Mohammed, A.; A. Jamil, H.; Mohd Nor, S.; NadzirMarsono, M. 2013: Malware Risk Analysis on the Campus Network with Bayesian Belief Network. International Journal of Network Security-Its Applications 5(4): 115-128
Ford, R.; Allen, W.H. 2009: Malware Shall Greatly Increase. IEEE Security-Privacy 7(6): 69-71
Dube, T.E.; Raines, R.A.; Grimaila, M.R.; Bauer, K.W.; Rogers, S.K. 2013: Malware Target Recognition of Unknown Threats. IEEE Systems Journal 7(3): 467-477
Gandotra, E.; Bansal, D.; Sofat, S. 2016: Malware Threat Assessment Using Fuzzy Logic Paradigm. Cybernetics and Systems 48(1): 29-48
Sharmeen, S.; Huda, S.; Abawajy, J.H.; Ismail, W.N.; Hassan, M.M. 2018: Malware Threats and Detection for Industrial Mobile-Io T Networks. IEEE Access 6: 15941-15957
Fu, J.; Xue, J.; Wang, Y.; Liu, Z.; Shan, C. 2018: Malware Visualization for Fine-Grained Classification. IEEE Access 6: 14510-14523
Carvey, H. 2005: Malware analysis for windows administrators. Digital Investigation 2(1): 19-22
Han, K.S.; Lim, J.H.; Kang, B.; Im, E.G. 2014: Malware analysis using visualized images and entropy graphs. International Journal of Information Security 14(1): 1-14
Kiran, U.S.; Kannayaram, G.; Ramasubbareddy, S. 2019: Malware and Threat Analysis and Remediation of Cloud Saa S Traffic. Journal of Computational and Theoretical Nanoscience 16(5): 1982-1987
Wang, P.; Wang, Y. 2015: Malware behavioural detection and vaccine development by using a support vector model classifier. Journal of Computer and System Sciences 81(6): 1012-1026
Kang, B.; Han, K.S.; Kang, B.; Im, E.G. 2014: Malware categorization using dynamic mnemonic frequency analysis with redundancy filtering. Digital Investigation 11(4): 323-335
Chen, Z.; Roussopoulos, M.; Liang, Z.; Zhang, Y.; Chen, Z.; Delis, A. 2012: Malware characteristics and threats on the internet ecosystem. Journal of Systems and Software 85(7): 1650-1672
Sung, Y.; Jang, S.; Jeong, Y.; Park, J.H.(.J. 2020: Malware classification algorithm using advanced Word2vec-based Bi-LSTM for ground control stations. Computer Communications 153: 342-348
Pektaş, A.; Acarman, T. 2018: Malware classification based on APi calls and behaviour analysis. IET Information Security 12(2): 107-117
Ghouti, L.; Imam, M. 2020: Malware classification using compact image features and multiclass support vector machines. IET Information Security 14(4): 419-429
Burnap, P.; French, R.; Turner, F.; Jones, K. 2018: Malware classification using self organising feature maps and machine activity data. Computers-Security 73: 399-410
Yuxin, D.; Siyi, Z. 2017: Malware detection based on deep learning algorithm. Neural Computing and Applications 31(2): 461-472
Sheen, S.; Anitha, R.; Sirisha, P. 2013: Malware detection by pruning of parallel ensembles using harmony search. Pattern Recognition Letters 34(14): 1679-1686
D'Angelo, G.; Ficco, M.; Palmieri, F. 2020: Malware detection in mobile environments based on Autoencoders and API-images. Journal of Parallel and Distributed Computing 137: 26-33
Ni, S.; Qian, Q.; Zhang, R. 2018: Malware identification using visualization images and deep learning. Computers-Security 77: 871-885
Ul Haq, I.; Chica, S.; Caballero, J.; Jha, S. 2018: Malware lineage in the wild. Computers-Security 78: 347-363
Niu, W.; Xiao, J.; Zhang, X.; Zhang, X.; Du, X.; Huang, X.; Guizani, M. 2021: Malware on Internet of UAVs Detection Combining String Matching and Fourier Transformation. IEEE Internet of Things Journal 8(12): 9905-9919
Eder-Neuhauser, P.; Zseby, T.; Fabini, J. 2018: Malware propagation in smart grid monocultures. E-i Elektrotechnik und Informationstechnik 135(3): 264-269
Zhou, H.; Shen, S.; Liu, J. 2020: Malware propagation model in wireless sensor networks under attack–defense confrontation. Computer Communications 162: 51-58
Hosseini, S.; Azgomi, M.A.; Rahmani, A.T. 2016: Malware propagation modeling considering software diversity and immunization. Journal of Computational Science 13: 49-67
Dube, T.; Raines, R.; Peterson, G.; Bauer, K.; Grimaila, M.; Rogers, S. 2012: Malware target recognition via static heuristics. Computers-Security 31(1): 137-147
D., A.; K.A., V.K.; S., S.C.; P., V. 2019: Malware traffic classification using principal component analysis and artificial neural network for extreme surveillance. Computer Communications 147: 50-57
Ren, Z.; Chen, G.; Lu, W. 2019: Malware visualization methods based on deep convolution neural networks. Multimedia Tools and Applications 79(15-16): 10975-10993
Jeon, S.; Moon, J. 2020: Malware-Detection Method with a Convolutional Recurrent Neural Network Using Opcode Sequences. Information Sciences 535: 1-15
Karyotis, V.; Kakalis, A.; Papavassiliou, S. 2008: Malware-Propagative Mobile Ad Hoc Networks: Asymptotic Behavior Analysis. Journal of Computer Science and Technology 23(3): 389-399
Ford, R. 1999: Malware: Troy revisited. Computers-Security 18(2): 105-108
Le Rider, J. 2007: Malwida von Meysenbug et Alexandre Herzen. Revue des études slaves 78(2): 207-228
Nikhila, P. 2013: Malwise-Malware Classification and Variant Extraction. IOSR Journal of Computer Engineering 13(1): 61-66
Cesare, S.; Xiang, Y.; Zhou, W. 2013: Malwise- An Effective and Efficient Classification System for Packed and Polymorphic Malware. IEEE Transactions on Computers 62(6): 1193-1206
Marples, D.R.; Laputska, V. 2021: Maly Traścianiec in the Context of Current Narratives on the Holocaust in the Republic of Belarus. Europe-Asia Studies: 1-19
Hrušák, M.; Ramos-García, U. 2014: Malykhin's problem. Advances in Mathematics 262: 193-212
Earle, T. 2020: Malyn Newitt, the Braganzas: the Rise and Fall of the Ruling Dynasties of Portugal and Brazil, 1640–1910. European History Quarterly 50(3): 568-570
Isaacman, A. 2019: Malyn Newitt. a Short History of Mozambique. The American Historical Review 124(1): 392-394
Borges, M.J. 2016: Malyn Newitt.Emigration and the Sea: An Alternative History of Portugal and the Portuguese. The American Historical Review 121(4): 1370-1371
Shaala, L.A.; Youssef, D.T.; McPhail, K.L.; Elbandy, M. 2013: Malyngamide 4, a new lipopeptide from the Red Sea marine cyanobacterium Moorea producens (formerly Lyngbya majuscula). Phytochemistry Letters 6(2): 183-188
Yousefi-Azar, M.; Hamey, L.G.C.; Varadharajan, V.; Chen, S. 2018: Malytics: a Malware Detection Scheme. IEEE Access 6: 49418-49431
Schenk, D. 1928: Malzextrakte. Zeitschrift für Analytische Chemie 73(12): 473-474
Petrusek, M. 2018: Malá skupina v průmyslové organizaci (Historicko-sociologický pohled na problém). AUC PHILOSOPHICA ET HISTORICA 1: 41-81
Faria, L.R.d. 2000: Malária em dois tempos. História, Ciências, Saúde-Manguinhos 7(1): 205-208
Mello, D.A. 1985: Malária entre populações indígenas do Brasil. Cadernos de Saúde Pública 1(1): 25-34
Andrade Jr., H.F.d.; Laurenti, M.D.; Goto, H.; Duarte, M.I.S.; Corbett, C.E.P. 1986: Malária experimental: contaminação de cepas e animais de biotério por eperythrozoon coccoides. Revista do Instituto de Medicina Tropical de São Paulo 28(4): 246-252
Wanderley, D.M.V.; Andrade, J.C.R.d.; Alves, M.J.C.P.; Alves, M.C.G.P.; Mattos, M.R.d.; Gurgel, S.d.M.; Igreja, R.P. 1989: Malária no Estado de São Paulo: avaliação de aspectos da vigilância epidemiológica. Cadernos de Saúde Pública 5(3): 296-304
Silva, P.R.d.M.; Silva, K.L.T.; Gonçalves Filho, P.; Barandas, J.F.; Pereira, G.C. 2003: Malária ocular: estudo histopatológico experimental das alterações coriorretinianas. Arquivos Brasileiros de Oftalmologia 66(3): 305-309
Rodrigues, R.; Marchiori, E.; Souza, D.A.T.d. 2004: Malária pulmonar: aspectos na tomografia computadorizada de alta resolução - relato de caso. Radiologia Brasileira 37(2): 139-142
Žďárek, V.; Žák, M. 2017: Malé ohlédnutí za výjimečným člověkem. Politická ekonomie 65(2): 249-250
Caquot, A. 2002: Malédictions et bénédictions qoumrâniennes. Revue d'histoire et de philosophie religieuses 82(1): 3-14
Williamson, A.B. 1930: Mal‐practice in speech contests. Quarterly Journal of Speech 16(4): 420-431
Bourn, D.; Rosický, J. 2007: Mal'cev Conditions Revisited. Applied Categorical Structures 16(6): 723-733
Bourn, D. 2020: Mal'tsev and Lawvere functors. Quaestiones Mathematicae 44(8): 997-1011
Timoshenko, E.I. 2021: Mal'tsev bases for partially commutative nilpotent groups. International Journal of Algebra and Computation: 1-9
Wu, S.; Wang, Q.; Wang, X.; Guo, R.; Zhang, T.; Pan, Y.; Li, F.; Li, Y. 2021: Mam Z protein plays an essential role in magnetosome maturation process of Magnetospirillum gryphiswaldense MSR-1. Journal of Oceanology and Limnology 39(6): 2082-2096
Cantone, H. 2014: Mama Africa: Reinventing Blackness in Bahia. Canadian Journal of African Studies / Revue canadienne des études africaines 48(1): 173-174
Bailey, S.R. 2011: Mama Africa: Reinventing Blackness in Bahia. Contemporary Sociology: A Journal of Reviews 40(2): 213-214
Johnson, O. 2012: Mama Africa: Reinventing Blackness in Bahia - by Pinho, Patricia de Santana. Bulletin of Latin American Research 31(2): 239-241
Nikolsky, N. 1960: Mama Goes to the Movies. Soviet Education 2(4): 55-56
Trouillot, M. 1994: Mama Lola: a Vodou Priestess in Brooklyn. KAREN MCCARTHY BROWN. American Ethnologist 21(3): 653-654
Val, W. 1990: Mama Said There'd be Days like this – my Life in the Jazz World. Feminist Review 35(1): 123-124
Rosell Echevarría, M.J.; Hernández Rodríguez, R.A.; Perez-Etchepare, E.; Gómez Culebras, M.A. 2021: Mama accesoria en la vulva. Anales de Pediatría 95(2): 129-130
Urban, H.; Goeckenjan, M.; Dinger, J.; Zimmermann, U.; Nitzsche, K. 2017: Mama denk an mich – Crystal-Sucht als Gefahr für Schwangerschaft, Geburt und Familie. Geburtshilfe und Frauenheilkunde 77(02): 182-191
Presas, V.; Mastronardi, L.; Saucedo, S.; Rojas Bilbao, E. 2017: Mama ectópica en la región inguinal. Clínica e Investigación en Ginecología y Obstetricia 44(2): 89-92
Wang, H.; Cheng, Z. 2021: Mama loves you: the gender wage gap and expenditure on children's education in China. Journal of Economic Behavior-Organization 188: 1015-1034
Schwarz, P.E.H. 2020: Mama oder Opa als Diabetesberater. MMW - Fortschritte der Medizin 162(16): 34-35
Zeo Galiano, A.D.; Saumeth, A.; Acosta Osio, G. 1992: Mama supernumeraria vs. liposarcoma Presentación de un caso. Revista Colombiana de Obstetricia y Ginecología 43(3): 222-223
Mfoafo-M'Carthy, M. 2021: Mama! i hear your silence: Grief and COVID-19 on the Global North and South disparity. Qualitative Social Work 20(1-2): 142-148
Whitlock, R.U. 2010: Mama's Boy; Preacher's Son: a Memoir. Journal of LGBT Youth 7(2): 176-180
Eccles , A.; Landherr, U.; Mantel, A.; Rosenecker, J. 2020: Mama, mir schmeckt's nicht!. Pflegezeitschrift 73(7): 20-23
Eccles, A.; Landherr, U.; Mantel, A.; Rosenecker, J. 2020: Mama, mir schmeckt's nicht!. ProCare 25(6-7): 8-11
Sanz, B.; Santos, I.; Laorden, C.; Ugarte-Pedrero, X.; Nieves, J.; Bringas, P.G.; Álvarez Marañón, G. 2013: Mama: Manifest Analysis for Malware Detection in Android. Cybernetics and Systems 44(6-7): 469-488
Gniewosz, B.; Noack, P. 2012: Mamakind or papakind? [Mom's child or Dad's child]: Parent-specific patterns in early adolescents' intergenerational academic value transmission. Learning and Individual Differences 22(4): 544-548
Ponzone, A.; Ferrero, R.; Arosio, P. 1986: Mamary Control of Iron Secretion in Milk. Annals of the New York Academy of Sciences 464(1): 470-472
Steyer, G.E. 2017: Mamas orales Mikrobiom und seine Bedeutung. Pädiatrie-Pädologie 52(1): 8-11
Koops, L.H.; Kuebel, C.; Smith, S.S.A. 2017: Mama's Turn: a mother's musical journey. Research Studies in Music Education 39(2): 209-225
Williams, A.L. 2021: Mamba in the Mirror: Black Masculinity, Celebrity, and the Public Mourning of Kobe Bryant. Sociology of Sport Journal 38(3): 302-309
Rehfisch, F. 1966: Mambila Marriage Prohibitions and Incest Regulations and the Role System. Journal of Asian and African Studies 1(4): 298-309
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