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In cybersecurity, anomaly detection in tabular data is essential for ensuring information security. While traditional machine learning and deep learning methods have shown some success, they continue to face significant challenges in terms of generalization. To address these limitations, this paper presents an innovative method for tabular data anomaly detection based on large language models, called "Tabular Anomaly Detection via Guided Prompts" (TAD-GP).
View Article and Find Full Text PDFDialogues about the practice of science.
Proc Natl Acad Sci U S A
February 2025
Department of Cognitive Sciences, University of California, Irvine, CA 92697.
What are the Thoughts of Women Whose Husbands' Frozen Testicular Sperm Is Thawed for in vitro Fertilization on the Day of Oocyte Retrieval? A Qualitative Study.
Int J Womens Health
January 2025
Nursing Department, Sir Run Run Shaw Hospital, College of Medicine, Zhejiang University, Hangzhou City, Zhejiang Province, People's Republic of China.
Objective: The psychological experiences will be analyzed to understand the needs and burdens of women on the day of oocyte retrieval when the thawed testicular sperm of their husbands is used for in vitro fertilization, in order to provide a basis for the subsequent formulation of relevant nursing measures.
Methods: This study utilized a descriptive phenomenological research approach. A cohort of 13 women undergoing oocyte retrieval on the day when thawed testicular sperm from their husbands is used for in vitro fertilization at the Reproductive Medicine Center of Sir Run Run Shaw Hospital, Zhejiang University School of Medicine, between August and October 2024, were chosen as participants for this study.
Seeing Ourselves in Others: Understanding and Addressing Biases in Medical School Admissions Processes.
Perspect Med Educ
January 2025
Hartford Hospital and the Institute of Living, Hartford, Connecticut, USA.
Purpose: Medical school admissions is a vital area for advancing diversity, equity, and inclusion (DEI). Integrating bias recognition and management (BRM) within the context of admissions is critical in advancing DEI. However, there is a dearth of empirically informed literature on BRM in the admissions context.
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