IDENTIFICATION OF ESSENTIAL ANTHROPOMETRIC AND HEALTH-RELATED MARKERS FOR EFFECTIVE WEIGHT LOSS PROGRAM IN MIDDLE-AGED WOMEN

Identification of essential anthropometric and health-related markers for effective weight loss program in middle-aged women

Introduction: Effective weight loss programs should consider more than just total body weight reduction, incorporating other critical anthropometric and health-related markers.Objective: This study aimed to identify the key markers essential for a healthy and effective weight loss regimen in women.Methodology: A total of 143 women (mean age 39.32±

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Brain Tumor Diagnosis Using Machine Learning, Convolutional Neural Networks, Capsule Neural Networks and Vision Transformers, Applied to MRI: A Survey

Management of brain tumors is based on clinical and radiological information with presumed grade dictating treatment.Hence, a non-invasive assessment of tumor grade is of paramount importance to choose Hair Color the best treatment plan.Convolutional Neural Networks (CNNs) represent one of the effective Deep Learning (DL)-based techniques that have

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The Mass Loss Behavior of Fractured Rock in Seepage Process: The Development and Application of a New Seepage Experimental System

In order to study the water-inrush mechanism in fractured geological structure, seepage instability theory is picked up, which considers that water-inrush is the embodiment of seepage instability.Seepage tests are the basis for studying seepage instability in the fractured rock system, while the experimental system and equipment are the foundation

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