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Books on the topic 'Human variables'

Author: Grafiati
Published: 4 June 2021
Last updated: 2 February 2022

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1

Zemanová, Štěpánka. European human rights foreign policy: Identifying crucial variables. Praha: Vysoká škola ekonomická v Praze, 2008.

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2

Ingwersen, Peter. Information retrieval interaction: Design variables and intermediary functionality. Copenhagen: Royal School of Librarianship, 1992.

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3

Babalola, Stella O. The effects of urbanization on fertility in south-west Nigeria: The explanatory role of the proximate fertility variables. Dakar-Ponty, Dakar, Senegal: Union for African Population Studies, 1992.

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4

Wendlova, Jaroslava. Biomechanical variables in assessment of fracture risk. Hauppauge, N.Y: Nova Science, 2011.

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5

Mburano, Rwenge. Determinants de la fécondité des mariages selon le milieu d'habitat au Benin: Examen par les variables intermédiaires. [Yaoundé, Cameroon]: Institut de formation et de recherche démographiques, 1994.

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6

Mahadevan, K. Population dynamics in the Indian states: Fertility and family formation and mortality and life affecting variables. New Delhi, India: Mittal Publications, 1989.

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7

Berthélemy, Jean-Claude. Capital humain, ouverture extérieure et croissance: Estimation sur données de panel d'un modèle a coefficients variables. Paris: Organisation de coopération et de développement économiques, 1997.

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8

Nanda, Satyajeet. Micro determinants of human fertility: Study of selected physiological and behavioural variables in SC and ST population. Ahmedabad: Gujarat Institute of Development Research, 2005.

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9

Lidbeck, Ann. Studies on the impact of Lactobacillus acidophilus on human microflora and some cancer-related intestinal ecological variables. [S.l: s.n.], 1991.

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10

Studies on the impact of lactobacillus acidophilus on human microflora and some cancer-related intestinal ecological variables. Stockholm: Kong. Carolinska Medico Chirurgiska Institutet, 1991.

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11

Goddard, Julia. A comparison between left and right handed human movement students in a number of psychomotor and psychological variables: BA (Hons) Human Movement Studies dissertation. Cardiff: SGIHE, 1988.

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12

Ganjavi, Ozhand. Geophysical variables and behaviour: Impact of atmospheric conditions on occurences of individual violence among canadian penintiary populations. [Ottawa]: Ministry of the Solicitor General of Canada, 1985.

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13

Williams, Diane. The effects of differing psychological variables in conjunction with partial sleep loss on a variety of performance tests: BA(Hons) Human Movement Studies dissertation. Cardiff: SGIHE, 1987.

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14

La variable humana. Madrid: Gadir Editorial, 2012.

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15

Geoffrey, Caine, ed. Making connections: Teaching and the human brain. Alexandria, Va: Association for Supervision and Curriculum Development, 1991.

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16

Caine, Renate Nummela. Making connections: Teaching and the human brain. Menlo Park, Calif: Addison-Wesley Pub. Co., 1994.

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17

Signoli, Michel, Dominique Chevé, Pascal Adalian, Gilles Boetsch, and Olivier Dutour, eds. Peste: entre épidemies et sociétés. Florence: Firenze University Press, 2007. http://dx.doi.org/10.36253/978-88-8453-489-7.

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Epidemics take place because human societies expect them and in this anticipation they adopt disturbed patterns of behaviour, disorder and violence that are dictated by fear. This behaviour leaves its traces in the biological, historical and iconographic archives, which the anthropologist can investigate in a diachronic manner. The interpretation of these patterns of social behaviour, over time and in relation to place, offers tools for investigating the present, even at global level (according to the formula of Geerz) enabling an exploration of how biological and cultural variables affect the probabilities of falling ill and dying.
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18

Burin, Amy Diana. Bench test model of the human skull for testing the Variable Frequency Pulse Phase-Locked Loop Instrument. Monterey, Calif: Naval Postgraduate School, 1996.

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19

Boyle, Linda. Effectiveness of safety and public service announcement (PSA) messages on dynamic message signs (DMS). Washington, D.C: U.S. Department of Transportation, Federal Highway Administration, 2014.

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20

Office, General Accounting. Guaranteed student loans: Credit bureau reporting practices by guaranty agencies and lenders : briefing report to the Chairman, Subcommittee on Education, Arts, and the Humanities, Committee on Labor and Human Resources, U.S. Senate. Washington, D.C: U.S. General Accounting Office, 1990.

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21

Fu bian han shu yu ji fen bian huan. Beijing Shi: Gao deng jiao yu chu ban she, 2003.

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22

Fu bian han shu yu ji fen bian huan. 4th ed. Beijing: Gao deng jiao yu chu ban she, 2013.

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23

Schneider, Jörg, and Ton Vrouwenvelder. Introduction to safety and reliability of structures. 3rd ed. Zurich, Switzerland: International Association for Bridge and Structural Engineering (IABSE), 1997. http://dx.doi.org/10.2749/sed005.

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<p>Society expects that buildings and other structures are safe for the people who use them or who are near them. The failure of a building or structure is expected to be an extremely rare event. Thus, society implicitly relies on the expertise of the professionals involved in the planning, design, construction, operation and maintenance of the structures it uses.<p>Structural engineers devote all their effort to meeting society’s expectations effi ciently. Engineers and scientists work together to develop solutions to structural problems. Given that nothing is absolutely and eternally safe, the goal is to attain an acceptably small probability of failure for a structure, a facility, or a situation. Reliability analysis is part of the science and practice of engineering today, not only with respect to the safety of structures, but also for questions of serviceability and other requirements of technical systems that might be impacted by some probability.<p>The present volume takes a rather broad approach to safety and reliability in Structural Engineering. It treats the underlying concepts of safety, reliability and risk and introduces the reader in a fi rst chapter to the main concepts and strategies for dealing with hazards. The next chapter is devoted to the processing of data into information that is relevant for applying reliability theory. Two following chapters deal with the modelling of structures and with methods of reliability analysis. Another chapter focuses on problems related to establishing target reliabilities, assessing existing structures, and on effective strategies against human error. The last chapter presents an outlook to more advanced applications. The Appendix supports the application of the methods proposed and refers readers to a number of related computer programs.<p>This book is aimed at both students and practicing engineers. It presents the concepts and procedures of reliability analysis in a straightforward, understandable way, making use of simple examples, rather than extended theoretical discussion. It is hoped that this approach serves to advance the application of safety and reliability analysis in engineering practice.<p>The book is amended with a free access to an educational version of a Variables Processor computer program. FreeVaP can be downloaded free of charge and supports the understanding of the subjects treated in this book.
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24

Morrison, Jane Gray, and Michael Charles Tobias. The Hypothetical Species: Variables of Human Evolution. Springer, 2019.

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25

Evans, Carol Elaine. VARIABLES AFFECTING LIFESTYLE BALANCE IN WOMEN (ROLES, STRESS). 1995.

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26

United Nations. Economic Commission for Africa. Population Division., ed. Les Effets des variables de nuptialité sur la fécondité dans quelques pays africains. Addis Abeba: La Division, 1989.

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27

Heppe, Robert A. The kinematic variables related to the efficiency of throwing: Football. 1992.

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28

The kinematic variables related to the efficiency of throwing: Football. 1992.

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29

The kinematic variables related to the efficiency of throwing: Football. 1992.

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30

Ryan, Peter. Kinematic variables as predictors of performance in the basketball free-throw. 1990.

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31

Ryan, Peter. Kinematic variables as predictors of performance in the basketball free-throw. 1990.

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32

Kinematic variables as predictors of performance in the basketball free-throw. 1988.

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33

Ryan, Peter. Kinematic variables as predictors of performance in the basketball free-throw. 1990.

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34

H, Rizzo Romano Alfredo, Melo Artemio Luis, and Angelone Juan Pablo 1967-, eds. Las relaciones Argentina-Estados Unidos, 1983-1993: Variables para un análisis interpretativo. Rosario: Homo Sapiens Ediciones, 1993.

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35

India. Office of the Registrar General & Census Commissioner., ed. District level estimates of fertility and child mortality for 1991 and their inter relations with other variables. New Delhi: Registrar General, India, 1997.

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36

Bielik, Edward. Relationship of release velocity to key delivery phase variables of highly skilled decathletes in the javelin event. 1986.

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37

Jones, Doris M. Ewell. THE IDENTIFICATION OF VARIABLES THAT ARE RELATED TO PARENTS' EXPRESSED FEELINGS OF DISSATISFACTION WITH PARENTING. 1994.

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38

Weston, Joan. A study of biomechanical variables in the countermovement jump and the drop jump performed by female intercollegiate athletes. 1992.

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39

Relationship of release velocity to key delivery phase variables of highly skilled decathletes in the javelin event. 1986.

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40

Relationship of release velocity to key delivery phase variables of highly skilled decathletes in the javelin event. 1986.

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41

Transport, European Commission Directorate-General, ed. Phoenix: Identification and case study of variables and parameters in the human domain in evaluating fire risk on board ships. Luxembourg: Office for Official Publications of the European Communities, 1999.

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42

Stewart, Frances, Gustav Ranis, and Emma Samman. The Relationship between Human Development and Economic Growth. Oxford University Press, 2018. http://dx.doi.org/10.1093/oso/9780198794455.003.0003.

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This chapter explores the interactions between economic growth and human development, as measured by the Human Development Index, theoretically and empirically. Drawing on many studies it explores the links in two chains, from economic growth to human development, and from human development to growth. Econometric analysis establishes strong links between economic growth and human development, and intervening variables influencing the strength of the chains. Because of the complementary relationship, putting emphasis on economic growth alone is not a long-term viable strategy, as growth is likely to be impeded by failure on human development. The chapter classifies country performance in four ways: virtuous cycles where both growth and human development are successful; vicious cycles where both are weak; and lopsided ones where the economy is strong but human development is weak, or conversely ones where human development is strong but the economy is weak.
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43

The back handspring: Comparison of kinematic variables of the center of gravity following three different hand placements. 1990.

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44

The back handspring: Comparison of kinematic variables of the center of gravity following three different hand placements. 1988.

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45

Effects of atmospheric and geophysical variables in biology and medicine: International symposium held 31 May-3 June at Rue Wenner-Gren-Center Stockholm. The Hague, The Netherlands: SPB Academic Pub., 1991.

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46

Schadt, Eric E. Network Methods for Elucidating the Complexity of Common Human Diseases. Edited by Dennis S. Charney, Eric J. Nestler, Pamela Sklar, and Joseph D. Buxbaum. Oxford University Press, 2017. http://dx.doi.org/10.1093/med/9780190681425.003.0002.

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The life sciences are now a significant contributor to the ever expanding digital universe of data, and stand poised to lead in both the generation of big data and the realization of dramatic benefit from it. We can now score variations in DNA across whole genomes; RNA levels and alternative isoforms, metabolite levels, protein levels, and protein state information across the transcriptome, metabolome and proteome; methylation status across the methylome; and construct extensive protein–protein and protein–DNA interaction maps, all in a comprehensive fashion and at the scale of populations of individuals. This chapter describes a number of analytical approaches aimed at inferring causal relationships among variables in very large-scale datasets by leveraging DNA variation as a systematic perturbation source. The causal inference procedures are also demonstrated to enhance the ability to reconstruct truly predictive, probabilistic causal gene networks that reflect the biological processes underlying complex phenotypes like disease.
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47

Acs, Zoltan J. Start-ups and Entry Barriers: Small and Medium-Sized Firms Population Dynamics. Edited by Anuradha Basu, Mark Casson, Nigel Wadeson, and Bernard Yeung. Oxford University Press, 2009. http://dx.doi.org/10.1093/oxfordhb/9780199546992.003.0008.

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Entrepreneurship is about people in their roles as identifiers of opportunities and the exploiters of opportunities. Moreover, recent theories of opportunity have shed light on the role of knowledge, knowledge spillovers, human capital, agglomeration of knowledge, and similar spatial structures as being the key to entrepreneurship. This article focuses on the age of the establishment as measured by new-firm entry as the operational variable in entrepreneurship and discusses what variables are important in determining entry. The focus in this article is on the role of human capital as a barrier to entry and suggests that the lack of education is the greatest barrier to entry.
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48

Schiff, Brian. Introduction. Oxford University Press, 2017. http://dx.doi.org/10.1093/oso/9780199332182.003.0001.

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The introductory chapter to A New Narrative for Psychology, “What’s the Problem?,” frames the conceptual crisis in contemporary psychology. It argues that, in large measure, the discipline does not speak to the fundamental problems of human psychology concerning interpretation, experience, and meaning due to a pervasive belief that such questions cannot be researched “scientifically.” Instead, psychologists rely on a narrow definition of science that dictates the measurement and statistical analysis of psychological variables and avoids essential questions about human nature. It traces the historical origins and epistemological status of the psychological variable and introduces the profound implications that the decision to enforce methodological uniformity has had on the field.
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49

Huffaker, Ray, Marco Bittelli, and Rodolfo Rosa. Phenomenological Modelling. Oxford University Press, 2018. http://dx.doi.org/10.1093/oso/9780198782933.003.0009.

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Detecting causal interactions among climatic, environmental, and human forces in complex biophysical systems is essential for understanding how these systems function and how public policies can be devised that protect the flow of essential services to biological diversity, agriculture, and other core economic activities. Convergent Cross Mapping (CCM) detects causal networks in real-world systems diagnosed with deterministic, low-dimension, and nonlinear dynamics. If CCM detects correspondence between phase spaces reconstructed from observed time series variables, then the variables are determined to causally interact in the same dynamic system. CCM can give false positives by misconstruing synchronized variables as causally interactive. Extended (delayed) CCM screens for false positives among synchronized variables.
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50

Variable Body in History. Lang AG International Academic Publishers, Peter, 2016.

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