Relevant bibliographies by topics / Affective models

Contents

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

Academic literature on the topic 'Affective models'

Author: Grafiati
Published: 4 June 2025
Last updated: 1 August 2025

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Journal articles on the topic "Affective models"

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Charpentier, Caroline J., Jan-Emmanuel De Neve, Xinyi Li, Jonathan P. Roiser, and Tali Sharot. "Models of Affective Decision Making." Psychological Science 27, no. 6 (2016): 763–75. http://dx.doi.org/10.1177/0956797616634654.

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D'haenen, H., and J. S. Andrews. "Animal models of affective disorders." Neuroscience Research Communications 26, no. 3 (2000): 289–300. http://dx.doi.org/10.1002/1520-6769(200005/06)26:3<289::aid-nrc15>3.0.co;2-d.

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Rothkrantz, Leon. "Affective Didactic Models in Higher Education." International Journal of Human Capital and Information Technology Professionals 8, no. 4 (2017): 50–66. http://dx.doi.org/10.4018/ijhcitp.2017100105.

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Redei, Eva E., Nasim Ahmadiyeh, Amber E. Baum, et al. "Novel animal models of affective disorders." Seminars in Clinical Neuropsychiatry 6, no. 1 (2001): 43–67. http://dx.doi.org/10.1053/scnp.2001.20882.

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Spaulding, Samuel. "Towards Transferrable Affective Models for Educational Play." Proceedings of the AAAI Conference on Artificial Intelligence and Interactive Digital Entertainment 16, no. 1 (2020): 340–42. http://dx.doi.org/10.1609/aiide.v16i1.7455.

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Modern computational agents in adaptive educational systems primarily rely on cognitive (i.e. curricular performance) data, while ignoring important multimodal affect cues which human tutors use to personalize their interactions with students. Students’ affective responses are highly idiosyncratic, noisy, and dependent on interactive context, challenges which defy many standard assumptions of computational player modeling. As a result, recent research efforts to model student affective response have focused on specific, single-task interactions, limiting the amount and variety of affective inp
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Treviranus, Gottfried. "A synopsis of cyclical biaxial (affective) models." International Clinical Psychopharmacology 26 (September 2011): e48. http://dx.doi.org/10.1097/01.yic.0000405714.06608.40.

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Zucker, Irving. "Seasonal Affective Disorders: Animal Models Non Fingo." Journal of Biological Rhythms 3, no. 2 (1988): 209–23. http://dx.doi.org/10.1177/074873048800300208.

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Calvo, Rafael A. "Latent and Emergent Models in Affective Computing." Emotion Review 2, no. 3 (2010): 288–89. http://dx.doi.org/10.1177/1754073910368735.

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Bozhkov, Lachezar, Petia Georgieva, Isabel Santos, Ana Pereira, and Carlos Silva. "EEG-based Subject Independent Affective Computing Models." Procedia Computer Science 53 (2015): 375–82. http://dx.doi.org/10.1016/j.procs.2015.07.314.

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Workman, Joanna L., and Randy J. Nelson. "Potential animal models of seasonal affective disorder." Neuroscience & Biobehavioral Reviews 35, no. 3 (2011): 669–79. http://dx.doi.org/10.1016/j.neubiorev.2010.08.005.

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Dissertations / Theses on the topic "Affective models"

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Gore, Whitney L. "AFFECTIVE INSTABILITY ACROSS DIAGNOSTIC MODELS." UKnowledge, 2015. http://uknowledge.uky.edu/psychology_etds/76.

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The National Institute of Mental Health’s (NIMH) Research Domain Criteria (RDoC; Insel et al., 2010; Sanislow et al., 2010) were established in an effort to explore underlying dimensions that cut across many existing disorders as well as to provide an alternative to the American Psychiatric Association’s Diagnostic and Statistical Manual of Mental Disorders (DSM-5; APA, 2013). The present dissertation aimed to study one major component of the RDoC model, negative valence, as compared to other models hypothesized to be closely related, as well as its relationship to a key component of psychopat
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MacKinnon, Robert James. "Affective geographies of models and modelling." Thesis, Aberystwyth University, 2016. http://hdl.handle.net/2160/3bddf5c3-52b9-428b-ba10-4b0384b4b6b2.

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With reference to three contexts of models and modelling practice (hydraulic models of environmental systems, model railways and miniature wargaming), this thesis asserts the importance of geography in understanding what models can be, what and how they can do, and how and why models may be made and engaged with. The thesis traces spatialities of models and modelling via conceptions of affect, emotion and feeling, alongside abstraction, the miniature and mimesis, in order to highlight how space is central to lived and embodied engagements with models and modelling. This thesis makes several co
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Matthews, Keith D. "Animal models of affective psychopathology : depression and reward." Thesis, University of Aberdeen, 1996. http://ethos.bl.uk/OrderDetails.do?uin=uk.bl.ethos.319857.

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One approach to the clinical problem of defining the neural substrates of human depressive disorders is to model discrete aspects of affective psychopathology in animals. Two major methodological problems have hindered the development of valid animals models of depression. First, individual responses to the manipulations commonly used to model depression are highly variable. Second, reliable and valid measures of hedonic state remain elusive. This thesis describes experimental work which addresses these methodological concerns. Selective breeding based on individual responses to cholinergic ch
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Carranza, Pinedo Víctor. "The landscape of affective meaning." Electronic Thesis or Diss., Université Paris sciences et lettres, 2022. http://www.theses.fr/2022UPSLE042.

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Les jurons sont des expressions qui ont la capacité d'exprimer les états affectifs du locuteur. Quels sont les mécanismes linguistiques qui permettent aux jurons d'afficher des états affectifs ? Même si la recherche sur la signification expressive a produit des modèles qui intègrent les aspects affectifs des jurons dans un cadre compositionnel, il existe de nombreuses preuves que les jurons ne peuvent pas se voir attribuer une interprétation affective stable. Par exemple, même si les adjectifs tels que 'sacré' généralement expriment des états affectifs à valence négative, ils peuvent également
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Graham, Julia. "Neurobiological models of depression in adolescence : fMRI of affective memory processing." Thesis, University of Cambridge, 2014. http://ethos.bl.uk/OrderDetails.do?uin=uk.bl.ethos.648705.

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Alam, Firoj. "Computational Models for Analyzing Affective Behaviors and Personality from Speech and Text." Doctoral thesis, Università degli studi di Trento, 2016. https://hdl.handle.net/11572/368509.

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Automatic analysis and summarization of affective behaviors and personality from human-human interactions are becoming a central theme in many research areas including computer and social sciences and psychology. Affective behaviors are defined as short- term states, which are very brief in duration, arise in response to an event or situation that are relevant and are rapidly change over time. They include empathy, anger, frustration, satisfaction, and dissatisfaction. Personality is defined as individual's longer-term characteristics that are stable over time and that describe individual's tr
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Alam, Firoj. "Computational Models for Analyzing Affective Behaviors and Personality from Speech and Text." Doctoral thesis, University of Trento, 2016. http://eprints-phd.biblio.unitn.it/1881/2/Disclaimer_Firoj.pdf.

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Automatic analysis and summarization of affective behaviors and personality from human-human interactions are becoming a central theme in many research areas including computer and social sciences and psychology. Affective behaviors are defined as short- term states, which are very brief in duration, arise in response to an event or situation that are relevant and are rapidly change over time. They include empathy, anger, frustration, satisfaction, and dissatisfaction. Personality is defined as individual's longer-term characteristics that are stable over time and that describe individual's tr
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Widner-Andrä, Regina Andrea. "Assignment of functional impact on genetic data in two mouse models of affective disorders." Diss., lmu, 2012. http://nbn-resolving.de/urn:nbn:de:bvb:19-143807.

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Raab, Annette [Verfasser], and Jürgen [Gutachter] Deckert. "The role of Rgs2 in animal models of affective disorders / Annette Raab ; Gutachter: Jürgen Deckert." Würzburg : Universität Würzburg, 2018. http://d-nb.info/116395165X/34.

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Adolf, Janne K. "Contextualizing the Dynamics of Affective Functioning: Conceptual and Statistical Considerations." Doctoral thesis, Humboldt-Universität zu Berlin, 2018. http://dx.doi.org/10.18452/19412.

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Aktuelle Affektforschung betont die Bedeutung mikrolängsschnittlicher Daten für das Verstehen täglichen affektiven Funktionierens, da sie es erlauben affektive Dynamiken und potentiell zugrunde liegende Prozesse zu beschreiben. Dynamische Längsschnittmodelle werden entsprechend attraktiver. In dieser Dissertation komme ich Forderungen nach einer Integration kontextueller Informationen in die Untersuchung täglichen affektiven Funktionierens nach. Speziell modifiziere ich populäre dynamische Modelle so, dass sie kontextuelle Variationen einbeziehen. In einem ersten Beitrag werden Personen als in
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Books on the topic "Affective models"

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A, Cory Gerald, ed. The evolutionary epidemiology of mania and depression: A theoretical and empirical interpretation of mood disorders. Edwin Mellen Press, 2008.

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Jochen, Musch, and Klauer Karl C, eds. The psychology of evaluation: Affective processes in cognition and emotion. Lawrence Erlbaum Associates, 2003.

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Garcia, Danilo, ed. The Affective Profiles Model. Springer International Publishing, 2023. http://dx.doi.org/10.1007/978-3-031-24220-5.

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P, Soubrié, ed. Anxiety, depression, and mania. Karger, 1991.

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Law, International Center for Not-for-Profit. Model provisions for laws affecting public benefit organizations. International Center for Not-for-Profit Law, 2002.

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Lumsdaine, Robin L. Factors affecting labor supply decisions and retirement income. National Bureau of Economic Research, 1995.

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Brazil) Bienal Internacional de São Paulo (33rd 2018 São Paulo. 33a Bienal de São Paulo: Affective affinities : catalogue. Edited by Cesarco Alejandro 1975 curator, Pérez-Barreiro Gabriel editor, Werneck Fabiana contributor, et al. Fundaçao Bienal de São Paulo, 2014.

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Krueger, Sydney. Toward a Life-span Model of Emotion: How Aging Shapes our Affective Responses. [publisher not identified], 2022.

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Blackbourn, Joseph M. Fostering affective development in students with mild disabilities: A program model and resource guide. BookMasters, 1993.

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D, Hjelmstad Keith, and Construction Engineering Research Laboratories (U.S.), eds. The Building Materials Durability Model (BMDM): A comparative model for service life factors affecting materials selection. US Army Corps of Engineers, Construction Engineering Research Laboratories, 1996.

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Book chapters on the topic "Affective models"

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Cabada, Ramón Zatarain, Héctor Manuel Cárdenas López, and Hugo Jair Escalante. "Personality Recognition Models." In Multimodal Affective Computing. Springer International Publishing, 2023. http://dx.doi.org/10.1007/978-3-031-32542-7_14.

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André, Elisabeth, Martin Klesen, Patrick Gebhard, Steve Allen, and Thomas Rist. "Integrating Models of Personality and Emotions into Lifelike Characters." In Affective Interactions. Springer Berlin Heidelberg, 2000. http://dx.doi.org/10.1007/10720296_11.

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Cabada, Ramón Zatarain, Héctor Manuel Cárdenas López, and Hugo Jair Escalante. "Designing and Testing the Classification Models." In Multimodal Affective Computing. Springer International Publishing, 2023. http://dx.doi.org/10.1007/978-3-031-32542-7_6.

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McKinney, William T. "Animal Models for Affective Disorders." In Models of Mental Disorders. Springer US, 1988. http://dx.doi.org/10.1007/978-1-4684-5430-7_4.

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Gershon, Elliot S., Wade H. Berrettini, John I. Nurnberger, and Lynn R. Goldin. "Genetic Studies of Affective Illness." In Models of Depressive Disorders. Springer US, 1989. http://dx.doi.org/10.1007/978-1-4613-0831-7_6.

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Hernandez, Javier, Rob R. Morris, and Rosalind W. Picard. "Call Center Stress Recognition with Person-Specific Models." In Affective Computing and Intelligent Interaction. Springer Berlin Heidelberg, 2011. http://dx.doi.org/10.1007/978-3-642-24600-5_16.

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Grafsgaard, Joseph F., Kristy Elizabeth Boyer, and James C. Lester. "Predicting Facial Indicators of Confusion with Hidden Markov Models." In Affective Computing and Intelligent Interaction. Springer Berlin Heidelberg, 2011. http://dx.doi.org/10.1007/978-3-642-24600-5_13.

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Prasad, Ashoka Jahnavi. "Applicability of Models of Anxiety to Obsessive Compulsive Disorder." In New Directions in Affective Disorders. Springer New York, 1989. http://dx.doi.org/10.1007/978-1-4612-3524-8_91.

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Wu, Tian, Yingchun Yang, and Zhaohui Wu. "Improving Speaker Recognition by Training on Emotion-Added Models." In Affective Computing and Intelligent Interaction. Springer Berlin Heidelberg, 2005. http://dx.doi.org/10.1007/11573548_49.

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Kalashnikov, Vyacheslav V., Nataliya I. Kalashnykova, Yazmín G. Acosta Sánchez, and Vitaliy V. Kalashnikov. "Affective Engineering in Application to Bi-Level Human Migration Models." In Industrial Applications of Affective Engineering. Springer International Publishing, 2014. http://dx.doi.org/10.1007/978-3-319-04798-0_3.

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Conference papers on the topic "Affective models"

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Han, Bin, Cleo Yau, Su Lei, and Jonathan Gratch. "Knowledge-Based Emotion Recognition Using Large Language Models." In 2024 12th International Conference on Affective Computing and Intelligent Interaction (ACII). IEEE, 2024. https://doi.org/10.1109/acii63134.2024.00005.

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Lee, Yoon Kyung, Jina Suh, Hongli Zhan, Junyi Jessy Li, and Desmond C. Ong. "Large Language Models Produce Responses Perceived to be Empathic." In 2024 12th International Conference on Affective Computing and Intelligent Interaction (ACII). IEEE, 2024. https://doi.org/10.1109/acii63134.2024.00012.

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Müller, Philipp, Alexander Heimerl, Sayed Muddashir Hossain, et al. "Recognizing Emotion Regulation Strategies from Human Behavior with Large Language Models." In 2024 12th International Conference on Affective Computing and Intelligent Interaction (ACII). IEEE, 2024. https://doi.org/10.1109/acii63134.2024.00029.

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Chochlakis, Georgios, Alexandros Potamianos, Kristina Lerman, and Shrikanth Narayanan. "The Strong Pull of Prior Knowledge in Large Language Models and Its Impact on Emotion Recognition." In 2024 12th International Conference on Affective Computing and Intelligent Interaction (ACII). IEEE, 2024. https://doi.org/10.1109/acii63134.2024.00041.

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Camuñas, Josep López, Cristina Bustos, Yanjun Zhu, Raquel Ros, and Agata Lapedriza. "Experimenting with Affective Computing Models in Video Interviews with Spanish-Speaking Older Adults." In 2025 IEEE/CVF Winter Conference on Applications of Computer Vision Workshops (WACVW). IEEE, 2025. https://doi.org/10.1109/wacvw65960.2025.00006.

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Savchenko, Andrey V. "Leveraging Pre-trained Multi-task Deep Models for Trustworthy Facial Analysis in Affective Behaviour Analysis in-the-Wild." In 2024 IEEE/CVF Conference on Computer Vision and Pattern Recognition Workshops (CVPRW). IEEE, 2024. http://dx.doi.org/10.1109/cvprw63382.2024.00473.

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Lala Bouali, Yassamine, Olfa Ben Ahmed, Smaine Mazouzi, and Abbas Bradai. "Towards Efficient Driver Distraction Detection with DARTS-Optimized Lightweight Models." In Special Session on Emotions and Affective Agents. SCITEPRESS - Science and Technology Publications, 2024. http://dx.doi.org/10.5220/0012595400003636.

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Noguez, Julieta, Enrique Espinosa, and Yasmin Hernandez. "Work in progress: Affective Models for Collaborative Learning." In Proceedings. Frontiers in Education. 36th Annual Conference. IEEE, 2006. http://dx.doi.org/10.1109/fie.2006.322524.

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Cearreta, Idoia, Juan Miguel López, and Nestor Garay-Vitoria. "Models to facilitate the development of affective resources." In the 15th European conference. ACM Press, 2008. http://dx.doi.org/10.1145/1473018.1473037.

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Houtkamp, Joske. "Affective appraisal as a requirement for 3D models." In the conference. ACM Press, 2004. http://dx.doi.org/10.1145/1005220.1005240.

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Reports on the topic "Affective models"

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Pasupuleti, Murali Krishna. Empathetic AI in Action: Transforming Customer Service with Emotional Intelligence. National Education Services, 2025. https://doi.org/10.62311/nesx/rr725.

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Abstract: This article explores the transformative impact of Emotionally Intelligent AI on customer service, focusing on how AI systems are designed to understand and respond to human emotions with empathy and precision. It delves into the core technologies, such as sentiment analysis, emotion recognition models, and reinforcement learning, that enable AI to provide emotionally aware interactions. Practical applications are discussed, including AI-powered customer support, personalized experiences, and crisis management solutions. The Article also covers the psychological foundations of AI-dri
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Michaels, Michelle, Theodore Letcher, Sandra LeGrand, Nicholas Webb, and Justin Putnam. Implementation of an albedo-based drag partition into the WRF-Chem v4.1 AFWA dust emission module. Engineer Research and Development Center (U.S.), 2021. http://dx.doi.org/10.21079/11681/42782.

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Employing numerical prediction models can be a powerful tool for forecasting air quality and visibility hazards related to dust events. However, these numerical models are sensitive to surface conditions. Roughness features (e.g., rocks, vegetation, furrows, etc.) that shelter or attenuate wind flow over the soil surface affect the magnitude and spatial distribution of dust emission. To aide in simulating the emission phase of dust transport, we used a previously published albedo-based drag partition parameterization to better represent the component of wind friction speed affecting the immedi
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LeGrand, Sandra, Theodore Letcher, Gregory Okin, et al. Application of a satellite-retrieved sheltering parameterization (v1.0) for dust event simulation with WRF-Chem v4.1. Engineer Research and Development Center (U.S.), 2023. http://dx.doi.org/10.21079/11681/47116.

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Employing numerical prediction models can be a powerful tool for forecasting air quality and visibility hazards related to dust events. However, these numerical models are sensitive to surface conditions. Roughness features (e.g., rocks, vegetation, furrows, etc.) that shelter or attenuate wind flow over the soil surface affect the magnitude and spatial distribution of dust emission. To aide in simulating the emission phase of dust transport, we used a previously published albedo-based drag partition parameterization to better represent the component of wind friction speed affecting the immedi
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Wang, Yong-Yi, and Jiawei Wang. PR350-233804-R01 Comprehensive Review of SSWC Assessment. Pipeline Research Council International, Inc. (PRCI), 2025. https://doi.org/10.55274/r0000118.

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Selective seam weld corrosion (SSWC) is a form of corrosion attack that preferentially occurs along the weld bond line/fusion zone of linepipes. SSWC is an integrity threat mainly for vintage pipes, particularly those manufactured before 1970 using ERW (DC-ERW and LF-ERW) and flash welding. SSWC has resulted in multiple pipeline failures. Assessing the significance of SSWC, e.g., producing a reasonably accurate prediction of burst pressure of a pipeline segment containing SSWC, remains a challenge for the pipeline industry. This project consists of four major parts: - Review prior work on burs
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KHUDALOVA, M., V. FILONENKO, and E. KUDZOEVA. PSYCHOSOMATICS IN CONNECTION WITH THE AFFECTIVE DISORDERS OF PERSONALITY. Science and Innovation Center Publishing House, 2021. http://dx.doi.org/10.12731/2658-4034-2021-12-4-2-365-374.

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In recent years, we can notice a significant increase in psychosomatic disorders among borderline mental pathology, which are reasonably considered “the pathology of modern civilization”. The purpose of this study is to identify the relationship between psychosomatic disorders and the affective disorders of the personality. The study used the following methods: a diagnostic conversation and analysis of medical documents with the results of clinical examination, a scale for psychological express diagnostics of semi-structured depressive disorders (based on MMPI), a self-assessment scale by Ch.D
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Altman, Safra, Krystyna Powell, and Marin Kress. Marine bioinvasion risk : review of current ecological models. Engineer Research and Development Center (U.S.), 2023. http://dx.doi.org/10.21079/11681/47820.

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This special report describes the first phase of developing an ecological model to inform marine bioinvasion risks in the United States. The project responds to the needs of the US Army Corps of Engineers (USACE) Aquatic Nuisance Species Research Program, or ANSRP, which addresses all problematic invasive aquatic species affecting the nation’s waterways, infrastructure, and associated resources, and the needs of the USACE navigation and dredging programs. Multiple port-deepening studies are either in progress or under consideration, and all must address ecological risk. Understanding whether a
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Moller, Nancy, and Weare J. H. Enhanced Geothermal Systems Research and Development: Models of Subsurface Chemical Processes Affecting Fluid Flow. Office of Scientific and Technical Information (OSTI), 2008. http://dx.doi.org/10.2172/928848.

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Or, Dani, Shmulik Friedman, and Jeanette Norton. Physical processes affecting microbial habitats and activity in unsaturated agricultural soils. United States Department of Agriculture, 2002. http://dx.doi.org/10.32747/2002.7587239.bard.

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experimental methods for quantifying effects of water content and other dynamic environmental factors on bacterial growth in partially-saturated soils. Towards this end we reviewed critically the relevant scientific literature and performed theoretical and experimental studies of bacterial growth and activity in modeled, idealized and real unsaturated soils. The natural wetting-drying cycles common to agricultural soils affect water content and liquid organization resulting in fragmentation of aquatic habitats and limit hydraulic connections. Consequently, substrate diffusion pathways to soil
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Shadurdyyev, G. Analysis of sets of factors affecting the variable flow of the Amu Darya River to create a seasonal prognostic model. Kazakh-German University, 2022. http://dx.doi.org/10.29258/dkucrswp/2022/53-72.eng.

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The Amu Darya River is a transboundary river whose flow of the river in high-water years reaches up to 108 km3 and in low-water years up to 47 km3 and these are huge fluctuations in the water flow of the river for Tajikistan, Kyrgyzstan, Uzbekistan, Turkmenistan, and Afghanistan, that share water among themselves. The point to consider is that the downstream countries Turkmenistan and Uzbekistan (and possibly Afghanistan in the future) use a lot of water for irrigation, and therefore these countries are the ones most in need of an accurate forecast of the volume of water for the upcoming seaso
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Uechi, Luis, and José A. Barbero. Assessment of Transport Data Availability and Quality in Latin America. Inter-American Development Bank, 2012. http://dx.doi.org/10.18235/0010453.

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The report is part of an initiative to map the transport data currently available within selected developing countries, looking to evaluate availability and quality of transport-related data in general, and particularly for information gaps affecting estimation of Greenhouse Gas emissions. The assessment of transport data availability and quality is performed by comparing the input information needed to run a transport model that identifies the major drivers for transport activity and emissions. The database requested includes typical transport information like fleet size and composition, pass
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