Relevant bibliographies by topics / Behavioral process

Contents

  1. Journal articles
  2. Dissertations / Theses
  3. Books
  4. Book chapters
  5. Conference papers
  6. Reports

Academic literature on the topic 'Behavioral process'

Author: Grafiati
Published: 4 June 2021
Last updated: 13 February 2022

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Journal articles on the topic "Behavioral process"

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Mash, Eric J. "Behavioral Assessment: Method and Process." Contemporary Psychology: A Journal of Reviews 32, no. 8 (August 1987): 702–4. http://dx.doi.org/10.1037/027381.

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Cianciolo, Anna T., and Jason A. Kegg. "Behavioral Specification of the Entrustment Process." Journal of Graduate Medical Education 5, no. 1 (March 1, 2013): 10–12. http://dx.doi.org/10.4300/jgme-d-12-00158.1.

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Hahlweg, Kurt, Minu Hemmati-Weber, Angelika Heusser, Helga Lober, Herta Winkler, Ursula Muller, Elias Feinstein, and Matthias Dose. "Process Analysis in Behavioral Family Therapy." Behavior Modification 14, no. 4 (October 1990): 441–56. http://dx.doi.org/10.1177/01454455900144004.

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Laslier, Jean-François, Richard Topol, and Bernard Walliser. "A Behavioral Learning Process in Games." Games and Economic Behavior 37, no. 2 (November 2001): 340–66. http://dx.doi.org/10.1006/game.2000.0841.

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Kumar, Rajesh. "Alliance Process: A Micro Behavioral View." International Journal of Business and Management 11, no. 1 (December 18, 2015): 20. http://dx.doi.org/10.5539/ijbm.v11n1p20.

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<p>Alliances are subject to heightened instability and while process based explanations are attracting increasing attention (e.g., Ring &amp; Van De Ven, 1994), process based theorizing continues to remain an emergent field of study. In this paper I articulate a process based perspective of alliance instability that is rooted in the motivational orientation of the alliance boundary spanners (Das &amp; Kumar, 2011). The process based perspective exemplifies the micro behavioral view which highlights the importance of individual’s cognitions and actions in shaping alliance outcomes. The paper explicates the linkages between the alliance boundary spanners motivational orientation, the alliance discrepancy model, and legitimacy repair strategies. I postulate that alliance boundary spanners may possess either a promotion focused or a prevention focused self-regulatory system. Alliance boundary spanners with a promotion focus are geared towards maximizing positive outcomes whereas alliance boundary spanners with a prevention focused self-regulatory system are geared towards minimizing negative outcomes. Alliance partners with a promotion focused self-regulatory system will detect outcome discrepancies sooner whereas alliance partners with a prevention focused self-regulatory system will detect process discrepancies sooner. Unfavorable outcome discrepancies are associated with a crisis of pragmatic legitimacy whereas unfavorable process discrepancies are associated with a crisis of moral legitimacy. I discuss the alternative ways in which alliance partners can seek to repair legitimacy. Implications for research and practice are discussed.</p>
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Hernández, Maciel M., and Mayra Y. Bámaca-Colbert. "A Behavioral Process Model of Familism." Journal of Family Theory & Review 8, no. 4 (December 2016): 463–83. http://dx.doi.org/10.1111/jftr.12166.

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Diamantini, Claudia, Laura Genga, and Domenico Potena. "Behavioral process mining for unstructured processes." Journal of Intelligent Information Systems 47, no. 1 (February 13, 2016): 5–32. http://dx.doi.org/10.1007/s10844-016-0394-7.

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Chepenik, Lara G. "The Triage Process for Behavioral Emergencies." Current Emergency and Hospital Medicine Reports 5, no. 4 (October 19, 2017): 149–56. http://dx.doi.org/10.1007/s40138-017-0140-7.

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KARPYSHYN, Natalia, and Solomia TABAKA. "BEHAVIORAL FINANCIAL DECISIONS OF THE POPULATION IN THE PROCESS OF CONSUMPTION." WORLD OF FINANCE, no. 3(64) (2020): 19–28. http://dx.doi.org/10.35774/sf2020.03.019.

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Introduction. The financial decision-making process depends not only on objective economic factors and motives; it is often under the influence of behavioural factors and subjective perceptions of situations. Consumption, as a continuous process of acquiring goods and services, has become an integral attribute of public life and a significant item of expenditure of personal and family budgets. Therefore, understanding the behavioural effects that affect the financial behaviour of consumers is an important step towards conscious consumption and rational spending of personal funds. The purpose is to theoretical analyse the influence of behavioral factors on the financial decisions of citizens in the field of consumption in order to reduce their negative effects and optimize consumer spending. Methods. System of general scientific and special research methods were used in the article. Methods of analysis, synthesis and generalization were used for the study of literary, statistical and Internet sources on the research topic; visualization method were used for visual presentation of the processed data; abstract-logical method - for generalize the presented material and formulate conclusions. The method of questionnaires and sampling, methods of statistical analysis and comparison were used for evaluate the financial decisions of households in Ukraine. Results. The article presents that using of an “intuitive” system of making financial decisions in the process consumption leads to unconscious and irrational spending of personal funds. The author generalized theories of behavioral finance and systematized the behavioral factors that influence citizens' financial decisions, namely: heuristics, emotions, framing, market influence, psychological accounting and loss perception. It has been proven that due to the lack of time for detailed information analysis, people make decisions under the influence of heuristics, such as the bandwagon effect, possession and anchoring. In such cases, money is spent irrationally and consumption becomes unconscious, as it is stimulated by marketing technologies and manipulations. Behavioral factors of emotional influence (excessive self-confidence and greed) also push the population to unjustified financial risks. Author offer to improve state policy in the field of management of personal financial resources in way to help citizens avoid the negative impact of behavioral factors and make informed financial decisions. Perspectives. The subject of further scientific research is the search and in-depth study of ways to effectively use personal funds in the field of lending and investing in the context of behavioral theories.
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Mack, Daniel Z., Weiru Chen, and Quy Nguyen Huy. "A Behavioral Process Theory of Entrepreneurial Growth." Academy of Management Proceedings 2019, no. 1 (August 1, 2019): 12298. http://dx.doi.org/10.5465/ambpp.2019.12298abstract.

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Dissertations / Theses on the topic "Behavioral process"

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SOUZA, PAULO ROBERTO MENEZES DE. "EXECUTIVE COACHING AND BEHAVIORAL CHANGE PROCESS." PONTIFÍCIA UNIVERSIDADE CATÓLICA DO RIO DE JANEIRO, 2011. http://www.maxwell.vrac.puc-rio.br/Busca_etds.php?strSecao=resultado&nrSeq=18773@1.

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A arena de competição dos negócios está se transformando cada vez mais rapidamente e as organizações precisam de pessoas preparadas para liderar as adaptações e inovações necessárias. O Coaching vem ocupando um espaço no esforço de cumprir a missão de apoiar o desenvolvimento de comportamentos e competências nos executivos, para que as empresas possam perseguir seus objetivos. Para que os executivos experimentem os benefícios do processo de Coaching é fundamental que o coachee tenha clareza e entendimento de que existem comportamentos a melhorar e ter disposição para querer mudar e persistir ao longo do tempo necessário para que o novo comportamento desejado se torne um hábito. O objetivo deste trabalho é analisar a importância e efetividade de se avaliar a capacidade adaptativa e o estágio de mudança do indivíduo no início e no final de um programa de Coaching, como uma etapa estratégica de assessment e melhor planejamento do processo, de forma a escolher com mais rapidez e segurança as ferramentas a serem utilizadas em cada caso. Para cumprir este objetivo, utilizando a Escala de Estágios de Mudanças/EEM, que foi desenvolvida por McConnaughy, Prochaska e Velicer (1983) e o Design de Processo de Coaching, de Souza (2005), foram acompanhados oito executivos num processo de Coaching durante três meses. Os resultados deste estudo sugerem que os programas de Coaching de executivos podem ser ainda mais eficientes utilizando ferramentas de avaliação como a Escala de Estágios de Mudanças. Apesar disso, não podemos perder de vista que se trata de um processo que requer extrema flexibilidade de acordo com cada caso que esteja sendo conduzido. Por isso é desejável que não se padronize os procedimentos de forma genérica. Algumas limitações do modelo foram observadas, conforme abordadas em capítulo próprio, e algumas recomendações de outros estudos e pesquisas também foram mencionadas.
The arena of business competition is becoming ever faster and organizations need people prepared to lead the necessary adaptations and innovations. Coaching has been occupying a space in an effort to fulfill the mission of supporting the development of skills and behaviors in the Executive, so that companies can pursue their goals. For executives to experience the benefits of the process of coaching is essential that the coachee has clarity and understanding that there are behaviors to improve and a willingness to want to change and persist over time to the desired new behavior becomes a habit. The objective of this study is to analyze the importance and effectiveness of assessing the adaptive capacity and the individual s stage of change at the beginning and end of a coaching program as a strategic step for better assessment and planning process in order to choose more speed and security tools to be used in each case. To meet this goal, using the Stages of Change Scale / MES, which was developed by McConnaughy, Prochaska and Velicer (1983) and the Design Process Coaching, de Souza (2005), were followed eight executives in the process of skills development for three months. The results of this study suggest that executive coaching programs can be even more efficient by using assessment tools such as the Stages of Change Scale. Nevertheless, we can not lose sight that this is a process that requires extreme flexibility according to each case that is being conducted. Therefore it is desirable not to standardize the procedures in a generic way. Some limitations of the model were observed, as discussed in a separate chapter, and some recommendations from other studies and research were also mentioned.
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Huh, Kenneth K. "Strategic resource development process : a behavioral view." Thesis, University of Warwick, 2013. http://wrap.warwick.ac.uk/57722/.

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The Resource-based view (RBV) of the firm sees a firm as a bundle of resources, and proposes that organisational performance differences arise from firms possessing heterogeneous sets of resources. However, there have been a limited number of research studies that explore how firms come to possess a particular resource set. The Dynamic RBV postulates that firm resource heterogeneity arises from subjective managerial processes. More specifically, firms come to possess a heterogeneous resource system via two managerial processes: resource conceptualisation and resource management. This thesis follows the notion of the Dynamic RBV and examines a resource-developing managerial process using three empirical studies. The first study observes two group-based resource conceptualisation processes and identifies two different orientations towards the resource system being conceptualised; namely systemic vs. discrete orientation. Having a systemic orientation is found to enhance the structure of the group resource conceptualisation process and improve effectiveness of cognitive conflict. The second study is conducted to further explore the notion of the effectiveness of cognitive conflict, by incorporating the concept of mental model convergence as part of a group strategy decision process. The study, through observation of the strategy development processes of six groups, finds evidence of two processes of mental model convergence: first, a group-driven convergence process where members harmoniously converge their mental models through deeply embedded trust between the members; and second, an individual-driven convergence process where the convergence is achieved via active discussion and cognitive conflict between the group members. The last empirical study tests another notion developed from the finding of the first empirical study: the role of systemic understanding in managing a resource system. The study confirms that managers who develop a systemic understanding of the resource system engage in an effective resource management process by adopting proactive resource management behaviour, making less biased decisions, and achieving effective learning from their performance. Through the three research studies, the doctoral research postulates that managerial processes affect the development of a firm’s resource system.
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Kapoor, Shekhar. "Process level test generation for VHDL behavioral models." Thesis, This resource online, 1994. http://scholar.lib.vt.edu/theses/available/etd-05022009-040753/.

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Polaha, Jodi. "The Pediatric Behavioral Telehealth Clinic: Process and Outcome." Digital Commons @ East Tennessee State University, 2007. https://dc.etsu.edu/etsu-works/6614.

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Dinehart, Jared Micah. "Melioration and the Behavioral Addiction Process: An Experimental Analysis." Diss., CLICK HERE for online access, 2004. http://contentdm.lib.byu.edu/ETD/image/etd509.pdf.

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Li, Liangda. "Influence modeling in behavioral data." Diss., Georgia Institute of Technology, 2015. http://hdl.handle.net/1853/53879.

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Understanding influence in behavioral data has become increasingly important in analyzing the cause and effect of human behaviors under various scenarios. Influence modeling enables us to learn not only how human behaviors drive the diffusion of memes spread in different kinds of networks, but also the chain reactions evolve in the sequential behaviors of people. In this thesis, I propose to investigate into appropriate probabilistic models for efficiently and effectively modeling influence, and the applications and extensions of the proposed models to analyze behavioral data in computational sustainability and information search. One fundamental problem in influence modeling is the learning of the degree of influence between individuals, which we called social infectivity. In the first part of this work, we study how to efficient and effective learn social infectivity in diffusion phenomenon in social networks and other applications. We replace the pairwise infectivity in the multidimensional Hawkes processes with linear combinations of those time-varying features, and optimize the associated coefficients with lasso regularization on coefficients. In the second part of this work, we investigate the modeling of influence between marked events in the application of energy consumption, which tracks the diffusion of mixed daily routines of household members. Specifically, we leverage temporal and energy consumption information recorded by smart meters in households for influence modeling, through a novel probabilistic model that combines marked point processes with topic models. The learned influence is supposed to reveal the sequential appliance usage pattern of household members, and thereby helps address the problem of energy disaggregation. In the third part of this work, we investigate a complex influence modeling scenario which requires simultaneous learning of both infectivity and influence existence. Specifically, we study the modeling of influence in search behaviors, where the influence tracks the diffusion of mixed search intents of search engine users in information search. We leverage temporal and textual information in query logs for influence modeling, through a novel probabilistic model that combines point processes with topic models. The learned influence is supposed to link queries that serve for the same formation need, and thereby helps address the problem of search task identification. The modeling of influence with the Markov property also help us to understand the chain reaction in the interaction of search engine users with query auto-completion (QAC) engine within each query session. The fourth part of this work studies how a user's present interaction with a QAC engine influences his/her interaction in the next step. We propose a novel probabilistic model based on Markov processes, which leverage such influence in the prediction of users' click choices of suggested queries of QAC engines, and accordingly improve the suggestions to better satisfy users' search intents. In the fifth part of this work, we study the mutual influence between users' behaviors on query auto-completion (QAC) logs and normal click logs across different query sessions. We propose a probabilistic model to explore the correlation between user' behavior patterns on QAC and click logs, and expect to capture the mutual influence between users' behaviors in QAC and click sessions.
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Wicks, John A. "An efficiency rating tool for process-level VHDL behavioral models." Diss., This resource online, 1996. http://scholar.lib.vt.edu/theses/available/etd-06062008-151205/.

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Hornyak, Robert. "Knowledge Worker Behavioral Responses and Job Outcomes in Mandatory Enterprise System Use Contexts." Digital Archive @ GSU, 2012. http://digitalarchive.gsu.edu/cis_diss/47.

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The three essays that comprise my dissertation are drawn from a longitudinal field study of the work process innovation of sourcing professionals at a large multinational paper products and related chemicals manufacturing firm. The focus of this study is an examination of how characteristics of the work process innovation context impact enterprise system (ES) acceptance, rich ES use behavior and the resulting individual-level job outcomes realized by knowledge workers in a strategic business process. The ES, an enterprise sourcing application, was introduced to innovate the work processes of employees who perform the sourcing business process. Over a period of 12 months, we collected survey data at four points in time (pre-implementation, immediately following training on the new system; following six months of use; and, following 12 months of use) to trace the innovation process as it unfolded. The three essays that comprise my dissertation focus on three key gaps in understanding and make three corresponding key contributions. The first research essay focuses on the transition from an emphasis on behavioral intention to mental acceptance in mandatory use environments. This essay contributes to the technology acceptance literature by finding that work process characteristics and implementation characteristics are exogenous to beliefs about the technology and that these beliefs are important to understanding mental acceptance as well in mandatory use contexts. The second and third research essays emphasize the transition from lean use concepts to conceptualizing, defining and measuring rich use behaviors and show that use must be captured and elaborated on in context. This is pursued through the development of two rich use constructs reflective of the sourcing work context and the complementary finding of countervailing factors in the work process that may impede the positive impact of rich use behaviors on job benefits.
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Baier, Thomas, Ciccio Claudio Di, Jan Mendling, and Mathias Weske. "Matching events and activities by integrating behavioral aspects and label analysis." Springer Berlin Heidelberg, 2018. http://dx.doi.org/10.1007/s10270-017-0603-z.

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Nowadays, business processes are increasingly supported by IT services that produce massive amounts of event data during the execution of a process. These event data can be used to analyze the process using process mining techniques to discover the real process, measure conformance to a given process model, or to enhance existing models with performance information. Mapping the produced events to activities of a given process model is essential for conformance checking, annotation and understanding of process mining results. In order to accomplish this mapping with low manual effort, we developed a semi-automatic approach that maps events to activities using insights from behavioral analysis and label analysis. The approach extracts Declare constraints from both the log and the model to build matching constraints to efficiently reduce the number of possible mappings. These mappings are further reduced using techniques from natural language processing, which allow for a matching based on labels and external knowledge sources. The evaluation with synthetic and real-life data demonstrates the effectiveness of the approach and its robustness toward non-conforming execution logs.
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Budajeva, Snezjana. "OCD as behavioral addiction and the reward process : A systematic review." Thesis, Högskolan i Skövde, Institutionen för biovetenskap, 2021. http://urn.kb.se/resolve?urn=urn:nbn:se:his:diva-20174.

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Studies have shown that aberrant activity in some brain regions involved in the pathology of OCD overlaps similarly with individuals with addiction disorders. The reduced anxiety following a compulsion together with findings of diminished activation in the striatum during reward anticipation proposes a view of OCD being a behavior addiction. To investigate if there are consistent results across studies that support this view a systematic search of the literature was conducted. The keywords in the final search string used were: Obsessive-compulsive disorder, OCD, reward, risk, functional MRI, MRI, fMRI. Databases used for the search were Web of Science and PubMed. The inclusion criteria were studies that compared the neural activity during the anticipation phase of reward between OCD patients and healthy controls. The intervention and brain imaging used in the included studies were the monetary incentive delay task and fMRI. The main data extracted were the alterations in the striatum. Four studies were included in this review with inconsistent results. Three studies did not find any significant difference between OCD and healthy controls and therefore the findings in principle did not support the view of OCD being a behavior addiction. However, differences in study design between studies could be an explanation for the conflicting findings.
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Books on the topic "Behavioral process"

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1942-, Hennessy James, ed. Criminal behavior: A process psychology analysis : personal constructs, stimulus determinants, behavioral repertoires. New Brunswick (U.S.A.): Transaction Publishers, 1992.

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E, Bowes John, ed. The mass communication process: A behavioral and social perspective. Dubuque, Iowa: Kendall/Hunt Pub. Co., 1990.

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P, Marx Brian, and Heimberg Richard G, eds. Making cognitive-behavioral therapy work: Clinical process for new practitioners. 2nd ed. New York: Guilford Press, 2010.

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1956-, Segal Zindel V., ed. Interpersonal process in cognitive therapy. New York: Basic Books, 1990.

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1956-, Segal Zindel V., ed. Interpersonal process in cognitive therapy. Northvale, N.J: Jason Aronson, 1996.

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Hati nurani hakim dan putusannya: Suatu pendekatan dari perspektif ilmu hukum perilaku (behavioral jurisprudence) : kasus hakim Bismar Siregar. Bandung: Citra Aditya Bakti, 2007.

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McSween, Terry E. The values-based safety process: Improving your safety culture with a behavioral approach. New York: Van Nostrand Reinhold, 1995.

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Smith-Mason, Catherine. Behavioral implications of ambiguous information and its temporal placement in the library employee selection process. Ann Arbor, Mich: University Microfilms International, 1987.

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Eliminating "us and them": Using IT governance, process, and behavioral management to make IT and the business "one". [LeMarche, CA]: Apress, 2011.

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Romero, Steven. Eliminating "us and them": Using IT governance, process, and behavioral management to make IT and the business "one". [LeMarche, CA]: Apress, 2011.

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Book chapters on the topic "Behavioral process"

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Takemura, Kazuhisa. "Decision-Making Process." In Behavioral Decision Theory, 127–41. Tokyo: Springer Japan, 2014. http://dx.doi.org/10.1007/978-4-431-54580-4_11.

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Jensen, Chad D., Amy F. Sato, Elissa Jelalian, Elizabeth R. Pulgaron, Alan M. Delamater, Chad D. Jensen, Amy F. Sato, et al. "Opponent Process." In Encyclopedia of Behavioral Medicine, 1384–85. New York, NY: Springer New York, 2013. http://dx.doi.org/10.1007/978-1-4419-1005-9_821.

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Irish, Leah. "Opponent Process." In Encyclopedia of Behavioral Medicine, 1561–62. Cham: Springer International Publishing, 2020. http://dx.doi.org/10.1007/978-3-030-39903-0_821.

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Shefrin, Hersh. "Process, Pitfalls, and Culture." In Behavioral Risk Management, 85–103. New York: Palgrave Macmillan US, 2016. http://dx.doi.org/10.1057/9781137445629_6.

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Elliott, John P. "The Behavioral Synthesis Process." In Understanding Behavioral Synthesis, 25–40. Boston, MA: Springer US, 1999. http://dx.doi.org/10.1007/978-1-4615-5059-4_3.

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Craske, Michelle G. "Cognitive-behavioral therapy process." In Psychotherapy theories and techniques: A reader., 87–96. Washington: American Psychological Association, 2014. http://dx.doi.org/10.1037/14295-010.

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Hadaway, Stephanie M., and Alan W. Brue. "Process: Interviews." In Practitioner’s Guide to Functional Behavioral Assessment, 59–69. Cham: Springer International Publishing, 2015. http://dx.doi.org/10.1007/978-3-319-23721-3_6.

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Hadaway, Stephanie M., and Alan W. Brue. "Process: Observation." In Practitioner’s Guide to Functional Behavioral Assessment, 83–96. Cham: Springer International Publishing, 2015. http://dx.doi.org/10.1007/978-3-319-23721-3_8.

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M’bareck, Nomane Ould Ahmed, and Samir Tata. "BPEL Behavioral Abstraction and Matching." In Business Process Management Workshops, 495–506. Berlin, Heidelberg: Springer Berlin Heidelberg, 2006. http://dx.doi.org/10.1007/11837862_46.

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Hadaway, Stephanie M., and Alan W. Brue. "Process: Record Review." In Practitioner’s Guide to Functional Behavioral Assessment, 51–58. Cham: Springer International Publishing, 2015. http://dx.doi.org/10.1007/978-3-319-23721-3_5.

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Conference papers on the topic "Behavioral process"

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Damiani, Ernesto, Gabriele Gianini, and Marcello Leida. "Toward behavioral business process analysis." In 2015 IEEE Congress on Evolutionary Computation (CEC). IEEE, 2015. http://dx.doi.org/10.1109/cec.2015.7257175.

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Williams, L. G. "A behavioral approach to software process modelling." In the 4th international software process workshop. New York, New York, USA: ACM Press, 1988. http://dx.doi.org/10.1145/75110.75143.

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Genga, Laura, and Nicola Zannone. "Towards a Systematic Process-aware Behavioral Analysis for Security." In International Workshop on Behavioral Analysis for System Security. SCITEPRESS - Science and Technology Publications, 2018. http://dx.doi.org/10.5220/0006944604600469.

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Genga, Laura, and Nicola Zannone. "Towards a Systematic Process-aware Behavioral Analysis for Security." In International Workshop on Behavioral Analysis for System Security. SCITEPRESS - Science and Technology Publications, 2018. http://dx.doi.org/10.5220/0006944606260635.

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Knols, Bram, and Jan Martijn E. M. van der Werf. "Measuring the Behavioral Quality of Log Sampling." In 2019 International Conference on Process Mining (ICPM). IEEE, 2019. http://dx.doi.org/10.1109/icpm.2019.00024.

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Fawaz, Ahmed M., and William H. Sanders. "Learning Process Behavioral Baselines for Anomaly Detection." In 2017 IEEE 22nd Pacific Rim International Symposium on Dependable Computing (PRDC). IEEE, 2017. http://dx.doi.org/10.1109/prdc.2017.28.

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Eslami, Motahhare, Sneha R. Krishna Kumaran, Christian Sandvig, and Karrie Karahalios. "Communicating Algorithmic Process in Online Behavioral Advertising." In CHI '18: CHI Conference on Human Factors in Computing Systems. New York, NY, USA: ACM, 2018. http://dx.doi.org/10.1145/3173574.3174006.

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Chin-Cheng Kuo, Meng-Jung Lee, I-Ching Tsai, Chien-Nan Jimmy Liu, and Ching-Ji Huang. "An accurate PLL behavioral model for fast Monte Carlo analysis under process variation." In 2007 IEEE International Behavioral Modeling and Simulation Workshop. IEEE, 2007. http://dx.doi.org/10.1109/bmas.2007.4437535.

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Tribastone, Mirco. "Behavioral relations in a process algebra for variants." In SPLC '14: 18th International Software Product Line Conference. New York, NY, USA: ACM, 2014. http://dx.doi.org/10.1145/2648511.2648520.

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Bao, Fangzhou, Xiaoyu Sun, Weilan Luo, Xintao Liu, Genlin Ji, and Bin Zhao. "Efficient Semantic Enrichment Process for Human Trajectories in Surveillance Videos." In 2019 6th International Conference on Behavioral, Economic and Socio-Cultural Computing (BESC). IEEE, 2019. http://dx.doi.org/10.1109/besc48373.2019.8963491.

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Reports on the topic "Behavioral process"

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Frantz, Terrill L. A Behavioral Theory of the Merger: Dynamics of the Post-Merger Integration Process. Fort Belvoir, VA: Defense Technical Information Center, May 2014. http://dx.doi.org/10.21236/ada606347.

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Richelle, Marc N., Bruno Boulanger, Anne-Michelle Ingebos, and Martine Lahak. Behavioral Variability, Learning Processes, and Creativity. Fort Belvoir, VA: Defense Technical Information Center, March 1992. http://dx.doi.org/10.21236/ada248894.

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Richelle, Marc N. Behavioral Variability, Learning Processes, and Creativity. Fort Belvoir, VA: Defense Technical Information Center, September 1990. http://dx.doi.org/10.21236/ada228056.

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Kuligowski, Erica D. The process of human behavior in fires. Gaithersburg, MD: National Bureau of Standards, 2009. http://dx.doi.org/10.6028/nist.tn.1632.

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Zamecnik, J., and D. Koopman. BEHAVIOR OF MERCURY DURING DWPF CHEMICAL PROCESS CELL PROCESSING. Office of Scientific and Technical Information (OSTI), April 2012. http://dx.doi.org/10.2172/1038732.

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Bobashev, Georgiy, John Holloway, Eric Solano, and Boris Gutkin. A Control Theory Model of Smoking. RTI Press, June 2017. http://dx.doi.org/10.3768/rtipress.2017.op.0040.1706.

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Abstract:
We present a heuristic control theory model that describes smoking under restricted and unrestricted access to cigarettes. The model is based on the allostasis theory and uses a formal representation of a multiscale opponent process. The model simulates smoking behavior of an individual and produces both short-term (“loading up” after not smoking for a while) and long-term smoking patterns (e.g., gradual transition from a few cigarettes to one pack a day). By introducing a formal representation of withdrawal- and craving-like processes, the model produces gradual increases over time in withdrawal- and craving-like signals associated with abstinence and shows that after 3 months of abstinence, craving disappears. The model was programmed as a computer application allowing users to select simulation scenarios. The application links images of brain regions that are activated during the binge/intoxication, withdrawal, or craving with corresponding simulated states. The model was calibrated to represent smoking patterns described in peer-reviewed literature; however, it is generic enough to be adapted to other drugs, including cocaine and opioids. Although the model does not mechanistically describe specific neurobiological processes, it can be useful in prevention and treatment practices as an illustration of drug-using behaviors and expected dynamics of withdrawal and craving during abstinence.
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Gómez-González, José Eduardo, and Nicholas M. Kiefer. Evidence of non-markovian behavior in the process of bank rating migrations. Bogotá, Colombia: Banco de la República, July 2007. http://dx.doi.org/10.32468/be.448.

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Im, Mi-Young, Peter Fischer, Yamada Keisuke, and Shinya Kasai. Statistical Behavior of Formation Process of Magnetic Vortex State in Ni80Fe20 Nanodisks. Office of Scientific and Technical Information (OSTI), January 2011. http://dx.doi.org/10.2172/1011040.

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Martin, Leigh Robert, and Catherine Lynn Riddle. Report on the Behavior of Fission Products in the Co-decontamination Process. Office of Scientific and Technical Information (OSTI), September 2015. http://dx.doi.org/10.2172/1244640.

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Wesolowski, Daniel Edward, Mark Andrew Rodriguez, and James J. M. Griego. Phase transition behavior of a processed thermal battery. Office of Scientific and Technical Information (OSTI), July 2012. http://dx.doi.org/10.2172/1051701.

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