6 results on '"Bielak, T."'
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2. Pride Following Recall of Personal Achievements: Does Social Anxiety Play a Role?
- Author
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Lkhagva, Tuguldur, Parsons, Carly A., and Alden, Lynn E.
- Published
- 2024
- Full Text
- View/download PDF
3. Semi-Supervised Heterogeneous Graph Learning with Multi-Level Data Augmentation.
- Author
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YING CHEN, SIWEI QIANG, MINGMING HA, XIAOLEI LIU, SHAOSHUAI LI, JIABI TONG, LINGFENG YUAN, XIAOBO GUO, and ZHENFENG ZHU
- Subjects
DATA augmentation ,SUPERVISED learning ,TRIANGLES ,CURVATURE ,TOPOLOGY - Abstract
In recent years, semi-supervised graph learning with data augmentation (DA) has been the most commonly used and best-performing method to improve model robustness in sparse scenarios with few labeled samples. However, most existing DA methods are based on the homogeneous graph, but none are specific for the heterogeneous graph. Differing from the homogeneous graph, DA in the heterogeneous graph faces greater challenges: heterogeneity of information requires DA strategies to effectively handle heterogeneous relations, which considers the information contribution of different types of neighbors and edges to the target nodes. Furthermore, over-squashing of information is caused by the negative curvature formed by the nonuniformity distribution and the strong clustering in a complex graph. To address these challenges, this article presents a novel method named HG-MDA (Semi-Supervised Heterogeneous Graph Learning with Multi-Level Data Augmentation). For the problem of heterogeneity of information in DA, node and topology augmentation strategies are proposed for the characteristics of the heterogeneous graph. Additionally, meta-relationbased attention is applied as one of the indexes for selecting augmented nodes and edges. For the problem of over-squashing of information, triangle-based edge adding and removing are designed to alleviate the negative curvature and bring the gain of topology. Finally, the loss function consists of the cross-entropy loss for labeled data and the consistency regularization for unlabeled data. To effectively fuse the prediction results of various DA strategies, sharpening is used. Existing experiments on public datasets (i.e., ACM, DBLP, and OGB) and the industry dataset MB show that HG-MDA outperforms current SOTA models. Additionally, HGMDA is applied to user identification in internet finance scenarios, helping the business to add 30% key users, and increase loans and balances by 3.6%, 11.1%, and 9.8%. [ABSTRACT FROM AUTHOR]
- Published
- 2024
- Full Text
- View/download PDF
4. The Oxford Handbook of Human Memory, Two Volume Pack : Foundations and Applications
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Michael J. Kahana, Anthony D. Wagner, Michael J. Kahana, and Anthony D. Wagner
- Abstract
The Oxford Handbook of Human Memory provides an authoritative overview of the science of human memory, its application to clinical disorders, and its broader implications for learning and memory in real-world contexts. Bringing together experts in the field, the Handbook integrates behavioral, neural, and computational evidence with current theories of how we learn and remember. Organized into two volumes and eleven sections, chapters cover foundational concepts, laws, and methods to study human memory; forms and attributes of memory; encoding and retrieval processes; interference, inhibition, and consolidation; memory distortion, inference, and prediction; individual differences and memory development; memory disorders and therapies; learning and memory in educational settings; and the role of memory in society. An authoritative and comprehensive treatment, The Oxford Handbook of Human Memory documents the current state of knowledge in the field and provides a roadmap for the next generation of memory scientists, established peers, and practitioners.
- Published
- 2024
5. DSM-5-TR® and Family Systems
- Author
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Jessica A. Russo, PhD, LPCC-S, NCC, J. Kelly Coker, PhD, LCMHC, QLS, Jason H. King, PhD, CMHC, NCC, ACS, Jessica A. Russo, PhD, LPCC-S, NCC, J. Kelly Coker, PhD, LCMHC, QLS, and Jason H. King, PhD, CMHC, NCC, ACS
- Subjects
- System theory
- Abstract
Offers useful strategies for creating rapport between the linear-focused DSM-5-TR and the circular causality approach of systems-oriented clinicians With a focus on clinical applications, this unique text for students of diagnosis, family systems, counseling, and other mental health disciplines demonstrates how to use the DSM-5-TR to aid assessment, diagnosis, treatment planning, and intervention from a relational perspective. With detailed descriptions, the second edition is updated to foster greater understanding of interpersonal problems associated with onset, progression, and expression of psychiatric systems while incorporating the specific parameters of parent, child, sibling, extended family, and significant other issues in overall clinical formulation. The new edition delves more deeply into relational and cultural features, family systems assessment, family systems interventions, and ethical and legal implications when working with identified DSM-5-TR disorders. New case conceptualizations address the'new normal'of working in a telehealth environment along with the impact of COVID-19 and racial and social injustice. Every chapter encompasses the latest DSM updates and current literature, and new chapter Test Banks and PowerPoints enhance the instructor resources. With each chapter focusing on a specific diagnosis or category of diagnoses, the book analyzes all DSM-5-TR domains, discusses the impact of diagnoses on the entire family, and introduces various assessments and interventions. New to the Second Edition: Presents relational and cultural features in each chapter Updates case conceptualizations to address emerging trends in telehealth, COVID-19, and social injustice Embodies the latest DSM updates, current literature, and updated research New and updated chapter Test Banks and PowerPoints included in the instructor materials Key Features: Guides the reader in understanding how to best integrate DSM-5-TR diagnoses from a systems perspective Applies systemic considerations to every identified disorder category in the DSM-5-TR Considers ethical and legal implications for each diagnosis Summary, case conceptualization, and discussion questions included in each chapter focusing on a disorder category Includes family systems contexts, assessments, interventions, and cultural considerations
- Published
- 2024
6. Phenomenological Neuropsychiatry : How Patient Experience Bridges the Clinic with Clinical Neuroscience
- Author
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Aaron L. Mishara, Marcin Moskalewicz, Michael A. Schwartz, Alexander Kranjec, Aaron L. Mishara, Marcin Moskalewicz, Michael A. Schwartz, and Alexander Kranjec
- Subjects
- Psychiatry, Neurology, Knowledge, Theory of
- Abstract
This innovative book offers a multidimensional exploration of the epistemological foundations of psychiatry and its major disorders. By emphasizing the importance of phenomenology in unravelling the intricate interplay between basic categories of human experience and neurobiological processes, it advocates for a shift in both psychiatric research and clinical practice. Phenomenological Neuropsychiatry presents psychiatry as a hybrid discipline that synthesizes subjective mental experiences with objective neuroscientific findings and forms an integrative and interdisciplinary structure that provides a dialectical bridge between understanding, compassion, and explanation. The first section of the book presents the lived experience of psychosis and argues for a more inclusive approach to mental health issues. The second section examines the ways in which psychiatric knowledge is constructed and the unique challenges posed by combining understanding and explanation of mental disorders. Section three sheds light on how disruptions in bodily experiences, memory processes, and self-perception can contribute to the development and manifestation of psychiatric issues. The following section discusses disorders of mood and anxiety, including the phenomena of depression, obsessions, and depersonalization. The fifth and final section provides an in-depth examination of psychotic disorders. It covers a range of topics, such as timing, intentionality, self-monitoring of action in schizophrenia, and the neurobiology of prodromal psychosis. As a singular work dedicated to revitalizing and advancing cross-fertilization between psychiatry and phenomenology, this groundbreaking book clears the foggy operationalized clusters of mental symptoms that may obscure diagnosis and treatment and argues for systematic integration of patient subjectivity and collaboration in clinical research. It features an authorship of the leading clinicians and thinkers from throughout the world in psychiatry, psychology, neuroscience, social sciences, and philosophy. Phenomenological Neuropsychiatry: How Patient Experience Bridges the Clinic with Clinical Neuroscience is a major contribution to the clinical literature and a must-read for psychiatrists, neurologists, psychologists, and professionals and students from other disciplines concerned with absorbing a deeper understanding of psychiatric disorders.
- Published
- 2024
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