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Zebrafish models of genetic epilepsy benefit from the ability to assess disease-relevant knock-out alleles with numerous tools, including genetically encoded calcium indicators (GECIs) and hypopigmentation alleles to improve visualization. However, there may be unintended effects of these manipulations on the phenotypes under investigation. There is also debate regarding the use of stable loss-of-function (LoF) alleles in zebrafish, due to genetic compensation (GC).
View Article and Find Full Text PDFDevelopment and evaluation of a Hospice Foundation of Taiwan Bereavement Assessment Scale: A psychometric properties test.
Palliat Support Care
January 2025
Department of Thanatology and Health Counseling, National Taipei University of Nursing and Health Sciences, Taipei, Taiwan.
Objectives: Supporting family caregivers (FCs) is a critical core function of palliative care. Brief, reliable tools suitable for busy clinical work in Taiwan are needed to assess bereavement risk factors accurately. The aim is to develop and evaluate a brief bereavement scale completed by FCs and applicable to medical staff.
View Article and Find Full Text PDFTranslation and psychometric validation of the Evidence-Based Practice Competency Questionnaire for Registered Nurses (EBP-COQ Prof©) in Bahasa Indonesia.
Appl Nurs Res
February 2025
School of Nursing and Midwifery, La Trobe University, Australia. Electronic address:
Aims: This study aims to translate, cross-culturally adapt, and conduct initial psychometric testing of the EBP-COQ Prof© to Bahasa Indonesia.
Background: The availability of evidence-based practice competency tools evaluating nurses' knowledge, skills attitudes and adoption in the context of Indonesian nursing practice are limited. A valid tool in EBP that measures nurses' self-perceived competency in knowledge, skills, attitudes, and utilization was used in this study for translation and psychometric validation.
Can ChatGPT 4.0 Diagnose Epilepsy? A Study on Artificial Intelligence's Diagnostic Capabilities.
J Clin Med
January 2025
Innovation, Research and Teaching Service (SABES-ASDAA), Teaching Hospital of the Paracelsus Medical Private University (PMU), 39100 Bolzano, Italy.
: This study investigates the potential of artificial intelligence (AI), specifically large language models (LLMs) like ChatGPT, to enhance decision support in diagnosing epilepsy. AI tools can improve diagnostic accuracy, efficiency, and decision-making speed. The aim of this study was to compare the level of agreement in epilepsy diagnosis between human experts (epileptologists) and AI (ChatGPT), using the 2014 International League Against Epilepsy (ILAE) criteria, and to identify potential predictors of diagnostic errors made by ChatGPT.
View Article and Find Full Text PDFFSW Optimization: Prediction Using Polynomial Regression and Optimization with Hill-Climbing Method.
Materials (Basel)
January 2025
Mechanical and Electrical Engineering Department, Polish Naval Academy, 81-103 Gdynia, Poland.
This study presents the optimization of the friction stir welding (FSW) process using polynomial regression to predict the maximum tensile load (MTL) of welded joints. The experimental design included varying spindle speeds from 600 to 2200 rpm and welding speeds from 100 to 350 mm/min over 28 experimental points. The resulting MTL values ranged from 1912 to 15,336 N.
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