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Full-Text Articles in Life Sciences
Running Biomechanics Differ During And After Pregnancy Compared To Females Who Have Never Been Pregnant, Jennifer J. Bagwell, Elizabeth Avila, Nicholas Reynolds, Jo Armour Smith, Kevin Valenzuela, Dimitrios Katsavelis
Running Biomechanics Differ During And After Pregnancy Compared To Females Who Have Never Been Pregnant, Jennifer J. Bagwell, Elizabeth Avila, Nicholas Reynolds, Jo Armour Smith, Kevin Valenzuela, Dimitrios Katsavelis
Physical Therapy Faculty Articles and Research
Background
Perinatal running participation has increased recently; however, pregnancy related symptoms can limit activity. Perinatal running biomechanics could inform interventions to help perinatal individuals maintain an active lifestyle.
Research question
Are perinatal running biomaechanics and muscle activation different compared to nulligravida females?
Methods
Sixteen pregnant participants completed self-selected velocity running during second trimester (2 T), third trimester (3 T), and postpartum (PP) and 16 matched controls completed these procedures once in this case control study. Kinematic, kinetic, and electromyography (EMG) data were collected using a motion capture system, force plates, and EMG electrodes. Peak trunk, pelvis, hip, knee, and ankle …
Classification Of Colorectal Cancer Using Resnet And Efficientnet Models, Abhishek Ranjan, Priyanshu Srivastva, B Prabadevi, R Sivakumar, Rahul Soangra, Shamala K. Subramaniam
Classification Of Colorectal Cancer Using Resnet And Efficientnet Models, Abhishek Ranjan, Priyanshu Srivastva, B Prabadevi, R Sivakumar, Rahul Soangra, Shamala K. Subramaniam
Physical Therapy Faculty Articles and Research
Introduction:
Cancer is one of the most prevalent diseases from children to elderly adults. This will be deadly if not detected at an earlier stage of the cancerous cell formation, thereby increasing the mortality rate. One such cancer is colorectal cancer, caused due to abnormal growth in the rectum or colon. Early screening of colorectal cancer helps to identify these abnormal growth and can exterminate them before they turn into cancerous cells.
Aim:
Therefore, this study aims to develop a robust and efficient classification system for colorectal cancer through Convolutional Neural Networks (CNNs) on histological images.
Methods:
Despite challenges in …