The existing load forecasting method based on the per-unit curve static decoupling (PCSD) would easily lead to deviation and translation of results. To tackle this challenge, a rotated (PCRD) is proposed for day-ahead with convolutional neural network temporal framework. PCRD decomposes into three parts: curve, 0 AM load, daily average load. shape feature extracted by CNN, features are TCN. rot...

An artificial gravity and ergometric exercise loading device for human use was manufactured. It has the capacity of a max 2 G-load at the heart level, and a max 150 W of work-load. Eight subjects (six completed) were subjected to four repeated trials with or without 20 W ergometric exercise. Anti-G score, defined as the G-load x running time to the endpoint, was significantly higher in the exer...

The objective of the present study was to evaluate if anterior load carriage would increase the likelihood of slips or falls while walking over a slippery floor surface. The study hypothesized that anterior load carriage may alter spatial-temporal characteristics, such as heel contact velocity, walking velocity (i.e., the whole body center-of-mass velocity), and step length, as well as friction...

A protocol is presented for supine bicycle ergometry in healthy subjects, which aims for a target increase of heart rate (HR = 140 beats min-1) after 4 min cycling under constant load. The required load is selected from a pre-study ergometry with stepwise increasing load. Repeated testing with this protocol was shown to yield highly reproducible ergometric HR-responses. Because of their high re...

Previous studies comparing early-onset Alzheimer’s disease (EOAD) and late-onset AD (LOAD) have been limited by cross-sectional design and a focus on isolated clinical variables. This study aims to explore differentials in clinical features between EOAD and LOAD and to examine longitudinally trends in cognitive function. Data from 3,747 subjects with AD from C-Path Online Data Repository was us...