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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 PDFChallenges in determining the global burden of non-malignant central nervous system tumors: an analysis of international incidence and mortality data sources.
Neuro Oncol
January 2025
University of Washington: Department of Pediatrics, Division of Pediatric Hematology-Oncology, Population Health Building/Hans Rosling Center, 3980 15th Ave. NE, Seattle, WA 98195 USA.
Background: Non-malignant tumors of the CNS contribute substantially to the morbidity and mortality from CNS tumors. It is critical to understand the epidemiology of non-malignant CNS tumors separately from CNS malignancies to inform resource allocation and policy since treatment and prognosis can differ. High quality international data on non-malignant CNS tumor burden are needed to accomplish this goal.
View Article and Find Full Text PDFDirected Electrostatics Strategy Integrated as a Graph Neural Network Approach for Accelerated Cluster Structure Prediction.
J Chem Theory Comput
January 2025
Advanced Artificial Intelligence Theoretical and Computational Chemistry Laboratory, School of Chemistry, University of Hyderabad, Hyderabad, Telangana 500046, India.
We present a directed electrostatics strategy integrated as a graph neural network (DESIGNN) approach for predicting stable nanocluster structures on their potential energy surfaces (PESs). The DESIGNN approach is a graph neural network (GNN)-based model for building structures of large atomic clusters with specific sizes and point-group symmetry. This model assists in the structure building of atomic metal clusters by predicting molecular electrostatic potential (MESP) topography minima on their structural evolution paths.
View Article and Find Full Text PDFTowards an ontology of mental health: Protocol for developing an ontology to structure and integrate evidence regarding anxiety, depression and psychosis.
Wellcome Open Res
November 2024
Centre for Behaviour Change, University College London, London, England, UK.
Background: Research about anxiety, depression and psychosis and their treatments is often reported using inconsistent language, and different aspects of the overall research may be conducted in separate silos. This leads to challenges in evidence synthesis and slows down the development of more effective interventions to prevent and treat these conditions. To address these challenges, the Global Alliance for Living Evidence on aNxiety, depressiOn and pSychosis (GALENOS) Project is conducting a series of living systematic reviews about anxiety, depression and psychosis.
View Article and Find Full Text PDFBuilding a near-infrared (NIR) soil spectral dataset and predictive machine learning models using a handheld NIR spectrophotometer.
Data Brief
February 2025
Woodwell Climate Research Center, 149 Woods Hole Rd., Falmouth, MA, 02540, United States.
This near-infrared spectral dataset consists of 2,106 diverse mineral soil samples scanned, on average, on six different units of the same low-cost commercially available handheld spectrophotometer. Most soil samples were selected from the USDA NRCS National Soil Survey Center-Kellogg Soil Survey Laboratory (NSSC-KSSL) soil archives to represent the diversity of mineral soils (0-30 cm) found in the United States, while 90 samples were selected from Ghana, Kenya, and Nigeria to represent available African soils in the same archive. All scanning was performed on dried and sieved (<2 mm) soil samples.
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