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Intersection between individual, household, environmental and system level factors in defining risk and resilience for children in Kenya's ASAL: A qualitative study.
PLoS One
January 2025
Institute for Human Development, Aga Khan University, Nairobi, Kenya.
Introduction: Children growing up in arid and semi-arid regions of Sub-Saharan Africa (SSA) face heightened risks, often resulting in poor developmental outcomes. In Kenya, the arid and semi-arid lands (ASAL) exhibit the lowest health and developmental indicators among children. Despite these risks, some children grow up successfully and overcome the challenges.
View Article and Find Full Text PDFResilience Informatics in Public Health: Qualitative Analysis of Conference Proceedings.
JMIR Form Res
January 2025
College of Medicine - Phoenix, University of Arizona, Phoenix, AZ, United States.
Background: In recent years, public health has confronted 2 formidable challenges: the devastating COVID-19 pandemic and the enduring threat of climate change. The convergence of these crises underscores the urgent need for resilient solutions. Resilience informatics (RI), an emerging discipline at the intersection of informatics and public health, leverages real-time data integration from health systems, environmental monitoring, and technological tools to develop adaptive responses to multifaceted crises.
View Article and Find Full Text PDFExamining the effects of school-vacation transitions on depression and anxiety in adolescents: network analysis.
BJPsych Open
January 2025
Department of Psychiatry, and National Clinical Research Center for Mental Disorders, The Second Xiangya Hospital of Central South University, Changsha, China.
Background: The school-vacation cycle may have impacts on the psychological states of adolescents. However, little evidence illustrates how transition from school to vacation impacts students' psychological states (e.g.
View Article and Find Full Text PDFSimple Auto-Associative Networks Succeed at Universal Generalization of the Identity Function and Reduplication Rule.
Cogn Sci
January 2025
Department of Psychology, Binghamton University.
It has become widely accepted that standard connectionist models are unable to show identity-based relational reasoning that requires universal generalization. The purpose of this brief report is to show how one of the simplest forms of such models, feed-forward auto-associative networks, satisfies two of the most well-known challenges: universal generalization of the identity function and the reduplication rule. Given the simplicity of the modeling account provided, along with the clarity of the evidence, these demonstrations invite a shift in this high-profile debate over the nature of cognitive architecture and point to a way to bridge some of the presumed gulf between characteristically symbolic forms of reasoning and connectionist mechanisms.
View Article and Find Full Text PDFSingle-Injection Composite Tracer Achieves Intraoperative Dual-Tracing and Precise Localization of Sentinel Lymph Nodes.
ACS Appl Mater Interfaces
January 2025
Sixth People's Hospital, School of Medicine & School of Biomedical Engineering, Shanghai Jiao Tong University, Shanghai 200030, P. R. China.
The use of dual-tracer contrast agents in clinical applications, such as sentinel lymph node (SLN) identification, offers significant advantages including enhanced accuracy, sensitivity, as well as comprehensive and multimodal visualization. In the current clinical practice, SLNs are typically marked prior to surgical resection by multiple and sequential injections of two tracers, the radioactive tracer and methylene blue (MB) dye. This imposes physical and psychological burden on patients and medical staff.
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