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An Iterative Design Method for Advancing Air Traffic Control and Management Training Through Immersive VFR 3D Map Visualization.

IISE Trans Occup Ergon Hum Factors

January 2025

The Bradley Department of Electrical and Computer Engineering, College of Engineering, Virginia Polytechnic Institute and State University, Blacksburg, VA, USA.

OCCUPATIONAL APPLICATIONSInnovative tools that align with modern learners' preferences are essential for training in safety-critical professions like Air Traffic Control/Management. This study evaluated a Virtual Reality Visual Flight Rules 3D Map Visualization Tool designed to meet the Federal Aviation Administration's (FAA) modernization goals. The tool immerses trainee in contextually accurate environments, enhancing engagement and self-paced learning.

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Self-emulsifying drug delivery systems (SEDDS) represent an innovative approach to improving the solubility and bioavailability of poorly water-soluble drugs, addressing significant challenges associated with oral drug delivery. This review highlights the advancements and applications of SEDDS, including their transition from liquid to solid forms, while addressing the formulation strategies, characterization techniques, and future prospects in pharmaceutical sciences. The review systematically analyzes existing studies on SEDDS, focusing on their classification into liquid and solid forms and their preparation methods, including spray drying, hot-melt extrusion, and adsorption onto carriers.

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Background: Vegetarianism and veganism have long been tied to disordered eating and are frequently considered to be methods of limiting available food choices. Health professionals specializing in eating disorder treatment may modify their treatment practices to support their vegetarian or vegan clients. However, there are no formally recognized clinical guidelines for the treatment of eating disorders in these groups.

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Background/objectives: Malnutrition and sarcopenia are interrelated health concerns among the elderly. Each condition is associated with increased mortality, morbidity, rehospitalization rates, longer hospital stays, higher healthcare costs, and reduced quality of life. Their combination leads to the development of "Malnutrition-Sarcopenia Syndrome" (MSS), characterized by reductions in body weight, muscle mass, strength, and physical function.

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The Application of an Intelligent -Harvesting Device Based on FES-YOLOv5s.

Sensors (Basel)

January 2025

Key Laboratory of Modern Agricultural Equipment, Ministry of Agriculture and Rural Affairs, Nanjing Institute of Agricultural Mechanization, Nanjing 210014, China.

To address several challenges, including low efficiency, significant damage, and high costs, associated with the manual harvesting of , in this study, a machine vision-based intelligent harvesting device was designed according to its agronomic characteristics and morphological features. This device mainly comprised a frame, camera, truss-type robotic arm, flexible manipulator, and control system. The FES-YOLOv5s deep learning target detection model was used to accurately identify and locate .

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