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The "gift of love" as a candidate mechanism of psychopathology and change in interpersonal reconstructive therapy for patients with high-acuity clinical needs.
Psychotherapy (Chic)
January 2025
Department of Psychology, University of Utah.
A key mechanism of psychopathology and change proposed by the theory of interpersonal reconstructive therapy (IRT; Benjamin, 2003, 2018) is termed the "gift of love" (GOL). The GOL hypothesis is that wishes to receive love and acceptance from specific internalized attachment figures shape and maintain problem patterns and their associated symptoms for many patients across a wide range of psychopathology. According to IRT theory, optimal intervention is defined by therapist alignment, or "adherence," to a core algorithm of principles that are tailored individually and bring awareness to (a) attachment-based yearnings for love and acceptance from internalized figures and (b) how those yearnings shape and motivate current problems and symptoms.
View Article and Find Full Text PDFRecent advances in groundwater pollution research using machine learning from 2000 to 2023: A bibliometric analysis.
Environ Res
December 2024
School of Hydraulic Engineering, Dalian University of Technology, Dalian, 116024, China.
Groundwater pollution has become a global challenge, posing significant threats to human health and ecological environments. Machine learning, with its superior ability to capture non-linear relationships in data, has shown significant potential in addressing groundwater pollution issues. This review presents a comprehensive bibliometric analysis of 1462 articles published between 2000 and 2023, offering an overview of the current state of research, analyzing development trends, and suggesting future directions.
View Article and Find Full Text PDFUse of Implementation Science Concepts in the Study of Misinformation: A Scoping Review.
Health Educ Behav
December 2024
The Ottawa Hospital Research Institute, Ottawa, Ontario, Canada.
Misinformation hinders the impact of public health initiatives. Efforts to counter misinformation likely do not consider the full range of factors known to affect how individuals make decisions and act on them. Implementation science tools and concepts can facilitate the development of more effective interventions against health misinformation by leveraging advances in behavior specification, uptake of evidence, and theory-guided development and evaluation of complex interventions.
View Article and Find Full Text PDF[Bridging the know-do gap: Implementation approaches to complex family interventions].
Z Evid Fortbild Qual Gesundhwes
December 2024
Universität Zürich, Institut für Implementation Science in Health Care, Zürich, Schweiz; Universitätsspital Zürich, Zentrum Klinische Pflegewissenschaft, Zürich, Schweiz. Electronic address:
Background: The introduction of complex family interventions poses a challenge since they consist of various interacting components which affect multiple players and often require changes in behaviour and work processes. Implementation success is strongly influenced by environmental factors. The comprehensive implementation of complex interventions therefore needs a deliberate and systematic implementation process, including its evaluation.
View Article and Find Full Text PDFCarbon-anchoring synthesis of PtNi@Pt/C core-shell catalysts for stable oxygen reduction reaction.
Nat Commun
November 2024
Key Laboratory for Ultrafine Materials of Ministry of Education, School of Chemical Engineering, East China University of Science and Technology, Shanghai, China.
Article Synopsis
- Proton-exchange-membrane fuel cells require efficient catalysts for the oxygen reduction reaction, and this study introduces a new strategy called "carbon defect anchoring" to create highly efficient PtNi@Pt/C core-shell nanoparticles.
- These nanoparticles demonstrate exceptional stability with only 1.6% degradation after extensive stability tests, alongside impressive performance metrics for oxygen reduction, achieving mass activity of 1.424 A/mg.
- The findings align with theoretical predictions from a microkinetic model, emphasizing the importance of combining theoretical design with practical synthesis methods for future catalyst advancements.
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