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1

Kutsche, Ralf-Detlef, and Nikola Milanovic, eds. Model-Based Software and Data Integration. Springer Berlin Heidelberg, 2008. http://dx.doi.org/10.1007/978-3-540-78999-4.

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2

Michael, Schrefl, ed. Metaclasses and their application: Data model tailoring and database integration. Springer, 1995.

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3

MBSDI 2008 (2008 Berlin, Germany). Model-based software and data integration: First international workshop, MBSDI 2008, Berlin, Germany, April 1-3, 2008 : proceedings. Springer, 2008.

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4

John, Backwell, ed. IT across the National Curriculum: A model for management and integration. Framework, 1990.

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5

Burch, Thomas K. Model-Based Demography: Essays on Integrating Data, Technique and Theory. Springer Nature, 2018.

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6

J, Fenves Steven, and National Institute of Standards and Technology (U.S.), eds. Master product model for the support of tighter integration of spatial and functional design. U.S. Dept. of Commerce, Technology Administration, National Institute of Standards and Technology, 2003.

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7

Corp, Petrotechnical Open Software. Posc Epicentre Data Model (Software Integration Platform Specification). Prentice Hall, 1994.

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8

Supcik, Jacques. Odéon: An object-oriented data model and its integration in the Oberon system. 1999.

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9

FOKUS, Fraunhofer, Ralf-Detlev Kutsch, Tom Ritter, Michael Wagner, and Christian Hein. Symposium on Model Driven Engineering : Software and Data Integration, Process Based Approaches and Tools: Fourth Workshop on Model-Driven Tool and Process Integration , Birmingham, UK, June 7, 2011 Proceedings of the Third Workshop on Model-Based Software and Data Integration , Birmingham, UK, June 7, 2011 Proceedings. Fraunhofer IRB Verlag, 2012.

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10

Milanovic, Nikola, and Ralf-Detlef Kutsche. Model-Based Software and Data Integration: First International Workshop, MBSDI 2008, Berlin, Germany, April 1-3, 2008, Proceedings. Springer London, Limited, 2008.

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11

Designing Schemas for Object Bases: Illustrated by Building the Schema of a "Standard Model Warehouse": A Meta-data Repository for Tool Integration. SMG, Inc., 1996.

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12

Chattopadhyay, Debabrata, and Rhonda L. Jordan. Integrating Climate Model Data into Power System Planning. World Bank, Washington, DC, 2015. https://doi.org/10.1596/21764.

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13

Burch, Thomas K. Model-Based Demography: Essays on Integrating Data, Technique and Theory. Saint Philip Street Press, 2020.

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14

Burch, Thomas K. Model-Based Demography: Essays on Integrating Data, Technique and Theory. Springer, 2017.

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15

Burch, Thomas K. Model-Based Demography: Essays on Integrating Data, Technique and Theory. Springer, 2018.

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16

Del Giudice, Marco. Evolutionary Psychopathology. Oxford University Press, 2018. http://dx.doi.org/10.1093/med-psych/9780190246846.001.0001.

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This book presents a unified approach to evolutionary psychopathology, and advances an integrative framework for the analysis and classification of mental disorders based on the concepts of life history theory. The framework does not aim to replace existing evolutionary models of specific disorders—which are reviewed and critically discussed in the book—but to connect them in a broader perspective and explain the large-scale patterns of risk and comorbidity that characterize psychopathology. The life history framework permits a seamless integration of mental disorders with normative individual
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17

Vernon, Vaughn. Reactive Messaging Patterns with the Actor Model: Applications and Integration in Scala and Akka. Addison-Wesley Longman, Incorporated, 2015.

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18

Vernon, Vaughn. Reactive Messaging Patterns with the Actor Model: Applications and Integration in Scala and Akka. Addison-Wesley Longman, Incorporated, 2015.

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19

Mun, Eun-Young, and Anne E. Ray. Integrative Data Analysis from a Unifying Research Synthesis Perspective. Oxford University Press, 2018. http://dx.doi.org/10.1093/oso/9780190676001.003.0020.

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Integrative data analysis (IDA) is a promising new approach in psychological research and has been well received in the field of alcohol research. This chapter provides a larger unifying research synthesis framework for IDA. Major advantages of IDA of individual participant-level data include better and more flexible ways to examine subgroups, model complex relationships, deal with methodological and clinical heterogeneity, and examine infrequently occurring behaviors. However, between-study heterogeneity in measures, designs, and samples and systematic study-level missing data are significant
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20

Cheng, Russell. Randomized-Parameter Models. Oxford University Press, 2017. http://dx.doi.org/10.1093/oso/9780198505044.003.0013.

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This chapter does not involve non-standard behaviour but is included as a contribution to the broader book theme on model building. The basic idea is to obtain greater flexibility in fitting a standard two-parameter base distribution by multiplying one of its parameters by a one-parameter mixing random variable with mean unity. Absorbing the random effect by integration yields what will be called a randomized parameter (also called compound) distribution depending on all three parameters involved. This chapter collects together a large number of examples where there is a gamma mixing distribut
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21

Wing, Ian Sue, and Edward J. Balistreri. Computable General Equilibrium Models for Policy Evaluation and Economic Consequence Analysis. Edited by Shu-Heng Chen, Mak Kaboudan, and Ye-Rong Du. Oxford University Press, 2018. http://dx.doi.org/10.1093/oxfordhb/9780199844371.013.7.

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This chapter reviews recent applications of computable general equilibrium (CGE) modeling in the analysis and evaluation of policies that affect interactions among multiple markets. At the core of this research is a particular approach to the data and structural representations of the economy, elaborated through the device of a canonical static multiregional model. This template is adapted and extended to shed light on the structural and methodological foundations of simulating dynamic economies, incorporating “bottom-up” representations of discrete production activities, and modeling contempo
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22

Rosen, David H., and Uyen B. Hoang. Medicine as a Human Experience. Oxford University Press, 2017. http://dx.doi.org/10.1093/med/9780190628871.003.0001.

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Chapter 1, “Medicine as a Human Experience,” examines the foundational principles of patient-centered care, a shift from the historical paradigm in favor of the illness and doctor-centered approach. The four essential principles that underlie all of medicine as a human experience are acceptance, empathy, conceptualization, and competence. Acceptance and empathy are essential to developing a healing partnership with one’s patients. Both stem from self-awareness, for it is difficult to accept another human being if you have not first accepted yourself. Conceptualization, using the biopsychosocia
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23

Casanova, Nancy G., Ting Wang, Eddie T. Chiang, and Joe G. N. Garcia. Genomics, Epigenetics, and Precision Medicine in Integrative Preventive Medicine. Oxford University Press, 2017. http://dx.doi.org/10.1093/med/9780190241254.003.0004.

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This chapter briefly reviews the use of genomewide screening for early detection, treatment, and prevention and the utility of genome-based biomarkers as a tool for precision medicine and its application to population and integrative preventive medicine. Advances in technology have made genomic screening more affordable and widely available, and both our understanding and the value of testing grow as more data is collected. Even more recently, the growing availability of epigenetic testing, methylation and ROS-associated molecular signatures are providing more insight into dynamic aspects of t
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24

Sanders, Donald H. Virtual Reconstruction of Maritime Sites and Artifacts. Edited by Ben Ford, Donny L. Hamilton, and Alexis Catsambis. Oxford University Press, 2012. http://dx.doi.org/10.1093/oxfordhb/9780199336005.013.0014.

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The integration of virtual reality into archaeological research began in the early 1990s. The use of computer-based methods in maritime archaeology is recent. Before exploring a real-time virtual, a 3D computer model is created from drawings, general sketches, raw dimensions, 3D scanned data, or photographs, or by using simple primitives and “drawing” on the computer. Virtual reality is a simulation of physical reality offering the viewer real-time movement through a true 3D space and interactivity with the objects, which can be further enhanced with 3D sound, lighting, and touch. This article
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25

Poplack, Shana. Epilogue. Oxford University Press, 2017. http://dx.doi.org/10.1093/oso/9780190256388.003.0012.

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Analysis of language mixing in the actual production data of bilingual individuals has permitted us to test and overturn many long-standing assumptions about borrowing and code-switching empirically: borrowing is not monolithic but takes many forms in the speech community; it does not originate as code-switching; integration is not gradual but abrupt; speakers tend not to code-switch individual words but to borrow them. This work has also confirmed that code-switching and borrowing are diametrically opposed, not only structurally but from the perspective of the individuals who engage in them.
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26

Huffaker, Ray, Marco Bittelli, and Rodolfo Rosa. Empirically Detecting Causality. Oxford University Press, 2018. http://dx.doi.org/10.1093/oso/9780198782933.003.0008.

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Phenomenological models mathematically describe relationships among empirically observed phenomena without attempting to explain underlying mechanisms. Within the context of NLTS, phenomenological modeling goes beyond phase space reconstruction to extract equations governing real-world system dynamics from a single or multiple observed time series. Phenomenological models provide several benefits. They can be used to characterize the dynamics of variable interactions; for example, whether an incremental increase in one variable drives a marginal increase/decrease in the growth rate of another,
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27

Salguero-Gomez, Roberto, and Marlène Gamelon, eds. Demographic Methods across the Tree of Life. Oxford University Press, 2021. http://dx.doi.org/10.1093/oso/9780198838609.001.0001.

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Demography is everywhere in our lives: from birth to death. Demography shapes our daily decisions, as well as the decisions that others make on us (e.g. bank loans, retirement age). Demography is everywhere across the Tree of Life. The universal currencies of demography—survival, development, reproduction, and recruitment—shape the performance of all species, from lions to dandelions. The omnipresence of demography in all things alive and dead, and its multiple applications to better understand the ecology, evolution, and conservation/management of species, allows us to—in principle—apply the
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28

Sanderson, Benjamin Mark. Uncertainty Quantification in Multi-Model Ensembles. Oxford University Press, 2018. http://dx.doi.org/10.1093/acrefore/9780190228620.013.707.

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Long-term planning for many sectors of society—including infrastructure, human health, agriculture, food security, water supply, insurance, conflict, and migration—requires an assessment of the range of possible futures which the planet might experience. Unlike short-term forecasts for which validation data exists for comparing forecast to observation, long-term forecasts have almost no validation data. As a result, researchers must rely on supporting evidence to make their projections. A review of methods for quantifying the uncertainty of climate predictions is given. The primary tool for qu
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29

Kern, Margaret L., and Howard S. Friedman. Health Psychology. Edited by Thomas A. Widiger. Oxford University Press, 2016. http://dx.doi.org/10.1093/oxfordhb/9780199352487.013.2.

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As research on personality and health has moved to developing multitrait, multioutcome models, the five factor approach has shown excellent utility for understanding health, including physical and mental health, longevity, cognitive function, social competence, and productivity. Drawing on a growing arsenal of advanced statistical techniques, studies are testing complex models to explain how personality influences health. Health behaviors, social situations, physiological changes, and various indirect and moderating factors are important pathways connecting personality and health, and reciproc
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30

Leidwanger, Justin. Roman Seas. Oxford University Press, 2020. http://dx.doi.org/10.1093/oso/9780190083656.001.0001.

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This book offers an archaeological analysis of maritime economy and connectivity in the Roman east. That seafaring was fundamental to prosperity under Rome is beyond doubt, but a tendency to view the grandest long-distance movements among major cities against a background noise of small-scale, short-haul activity has tended to flatten the finer and varied contours of maritime interaction and coastal life into a featureless blue Mediterranean. Drawing together maritime landscape studies and network analysis, this work takes a bottom-up view of the diverse socioeconomic conditions and seafaring
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31

O'Connor, Brian. Robustness. Edited by Thomas A. Widiger. Oxford University Press, 2015. http://dx.doi.org/10.1093/oxfordhb/9780199352487.013.19.

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This article examines the effectiveness of the Five Factor Model (FFM) in capturing or duplicating the scales and primary dimensions found in other personality inventories. It considers the robustness—or “comprehensiveness”—of the FFM at both the scale and dimensional structure levels, as well as the nature and extent of the evidence for the FFM as an integrative, organizational framework for other personality tests. “Robustness” here refers to the tendency for the FFM dimensions to keep showing up in a wide range of old and new measures that were designed to assess supposedly unique and impor
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32

Simoni, Mary. The Audience Reception of Algorithmic Music. Edited by Roger T. Dean and Alex McLean. Oxford University Press, 2018. http://dx.doi.org/10.1093/oxfordhb/9780190226992.013.14.

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Contemporary music research and practice have leveraged advances in computing power by integrating computing devices into many aspects of music—from generative music to live coding. This efflorescence of musical practice, process, and product raises complex issues in audience reception. This chapter employs a comparative analysis in a longitudinal study designed to understand the psychological aspects of the audience reception of algorithmic music. It studies four compositions from the latter part of the twentieth century late, presented on fixed media to avoid variability in musical performan
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33

Wegren, Stephen K., Alexander Nikulin, and Irina Trotsuk. Food Policy and Food Security. The Rowman & Littlefield Publishing Group, Inc., 2018. https://doi.org/10.5040/9781666993349.

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This book provides a comprehensive analysis of Russian food policy. Food policy is defined as the way government policy influences food production and distribution. Russia’s food policy is important for several reasons. The first and most obvious reason is that a dysfunctional food policy is symptomatic of larger political and societal problems. A failing food policy is often the precursor to political instability. Russian food policy is also important is due to the agricultural recovery since 2004 that has allowed Russia to become self-sufficient in grain production. Being food-sufficient in
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34

Dacey, Mike. Seven Challenges for the Science of Animal Minds. Oxford University PressOxford, 2025. https://doi.org/10.1093/9780198928102.001.0001.

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Abstract The scientific study of animal minds is difficult. This book examines the most significant reasons this is so: seven challenges for the science to overcome. Researchers are aware of these challenges, but few take any of them head-on, and none address them collectively as this book does. Despite this focus on challenges, the book’s orientation is optimistic; these are challenges for the science, not challenges to the science. Researchers have made substantial progress as things are. But taking the challenges head-on can help build an even stronger, more vibrant science. The seven chall
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35

BAHADUR TIWARI, BHUPENDRA, E. ESWARA REDDY, and SAM X. KINGSLEY JOSHUA. INNOVATIVE HUMAN RESOURCE PRACTICES AND EMPLOYEE ENGAGEMENT WITH SPECIAL REFERENCE TO IT SECTOR. Jupiter Publications Consortium, 2023. http://dx.doi.org/10.47715/jpc.b.978-93-91303-79-2.

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The industry of information technology in India includes the following services namely IT and software services, IT enabled services, hardware (engineering) services, and e-businesses/e-governance associated with government services. IT services are outsourcing of software support/installation, processing services, systems integration, exports of products and services, and training/education of the information technology science. The significant improvements in the industry have brought about a vital need for systematic process of managing the majority of employees in the IT industry. There wa
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