Body mass index, abdominal adiposity, weight gain and risk of developing hypertension: a systematic review and dose-response meta-analysis of more than 2.3 million participants. Obes Rev. 2018;19(5):654-667. doi:10.1111/obr.12656 PubMedGoogle ScholarCrossref 34. Wibaek R, Girma...
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This randomized clinical trial assesses the effects of a 16-week low-fat vegan dietary intervention on body weight, insulin resistance, postprandial
Using the unique 11-digit identification number of Norwegian citizens, individual information from the two waves of the HUNT study was linked for those who participated in both. In addition, individual information from the two waves of the HUNT study was linked to data from a nation-wide ...
A repository that shares tuning results of trained models generated by Tensorflow. Post-training quantization (Weight Quantization, Integer Quantization, Full Integer Quantization, Float16 Quantization), Quantization-aware training. I also try to convert it to OpenVINO's IR model as much as possible....
Support for the latest version of openvino2tensorflow v1.28.8 Feb 26, 2022 179_person-detection-0202 179_person-detection-0202 Fix color order Nov 25, 2021 180_YOLOv5-Lite 180_YOLOv5-Lite YOLOv5-Lite S Nov 20, 2021 181_models_edgetpu_checkpoint_and_tflite_vision_segmentation-edgetpu_tfli...
Body mass index, or BMI, is a rough estimate of a person's body fat using height and weight measurements. The BMI classifies people into several categories, such as normal, overweight and obese. "From a practical point," Comuzzie said, the average weight gain "means that someone who was...
3 Each PC question presented a random pair of health states with a brief description of the main features in lay language and asked respondents which person they think is the healthier. The PHE questions asked respondents to compare the health benefits of two hypothetical life-saving or health-...
Cognitive, psychodynamic, and phenomenological scholars converged their attention on abnormal bodily phenomena as the core psychopathological feature of ea
Multi-object tracking (MOT) is one of the most challenging tasks in the field of computer vision. Although many MOT methods have been proposed in the liter