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Strengthening Lebanese health care: exploring the impact of organizational culture on employee loyalty through trust and job satisfaction.
Leadersh Health Serv (Bradf Engl)
January 2025
Department of Management and Marketing, Notre Dame University Louaize, Zouk Mosbeh, Lebanon.
Purpose: This study aims to examine the relationships between organizational culture, employee loyalty, trust and job satisfaction within the Lebanese health-care sector. It addresses the critical need to improve employee retention and organizational performance in a context marked by economic instability and political uncertainty. By analyzing data from 270 health-care professionals, the study aims to explore how different aspects of organizational culture - such as transparency, supportiveness and ethical leadership - affect employee trust and satisfaction.
View Article and Find Full Text PDFBuilding a Fast Response Capability for Emerging Infectious Diseases Within the Biomedical Advanced Research and Development Authority.
Health Secur
January 2025
Robert A. Johnson, PhD, is Director, Medical Countermeasures Programs, and Gary L. Disbrow, PhD, is Director, Center for Biomedical Advanced Research and Development Authority (BARDA), Washington, DC. Terence M. Barnhart, PhD, is Senior Strategy Implementation Leader, Tunnell Government Services, Inc. (Contractor Supporting BARDA), Washington, DC.
From influenza to COVID-19, emerging infectious diseases have taken a heavy toll on lives and resources. Emerging infectious diseases represent one of the largest threats to national security. The primary mission of the Center for Biomedical Advanced Research and Development Authority (BARDA), within the US Administration for Strategic Preparedness and Response, is to support the advanced development of medical countermeasures (MCMs) for public health security threats, including select infectious diseases.
View Article and Find Full Text PDFDataset of noise signals generated by smart attackers for disrupting state of health and state of charge estimations of battery energy storage systems.
Data Brief
February 2025
School of Engineering and Technology, University of New South Wales, Canberra, Australia.
This dataset is generated from real-time simulations conducted in MATLAB/Simscape, focusing on the impact of smart noise signals on battery energy storage systems (BESS). Using Deep Reinforcement Learning (DRL) agent known as Proximal Policy Optimization (PPO), noise signals in the form of subtle millivolt and milliampere variations are strategically created to represent realistic cases of False Data Injection Attacks (FDIA). These signals are designed to disrupt the State of Charge (SoC) and State of Health (SoH) estimation blocks within Unscented Kalman Filters (UKF).
View Article and Find Full Text PDFUtilization of refuse-derived fuel in industrial applications: Insights from Uttar Pradesh, India.
Heliyon
January 2025
Interdisciplinary Research Center for Construction and Building Materials, Research Institute, King Fahd University of Petroleum & Minerals, Dhahran, 31261, Saudi Arabia.
Urbanization and population growth in India have quickened, leading to an annual generation of around 62 million tonnes of municipal solid waste (MSW). Improper management of organic waste presents a major environmental problem due to air and water pollution, soil contamination and greenhouse gas production. This research aims to develop refuse-derived fuel (RDF) as a viable option, converting waste into a high-calorific energy carrier for industrial use.
View Article and Find Full Text PDFPivotal Trial Toward Effectiveness of Self-administered OCT in Neovascular Age-related Macular Degeneration. Report 2-Artificial Intelligence Analytics.
Ophthalmol Sci
November 2024
Notal Vision Inc., Manassas, Virginia.
Purpose: To validate the performance of the Notal OCT Analyzer (NOA) in processing self-administered OCT images from an OCT system designed for home use (home OCT [HOCT]) as part of a pivotal study aimed at achieving de novo United States Food and Drug Admininstration marketing authorization.
Design: A prospective quantitative cross-sectional artificial intelligence study.
Participants: The study enrolled adults aged ≥55 years diagnosed with neovascular age-related macular degeneration (nAMD) in ≥1 eligible eye with a best-corrected visual acuity of 20/320 or better.
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