Image_1_Exercise Promotion and Distress Reduction Using a Mobile App-Based Community in Breast Cancer Survivors.TIF by Il Yong Chung (3804493)

Table 1_Machine learning-based gait adaptation dysfunction identification using CMill-based gait data.docx by Hang Yang (577653)

“…</p>Results<p>The stroke group showed a significantly decreased gait speed (p = 0.000) and step length (SL) (p = 0.000), while the asymmetry of SL (p = 0.000) and ST (p = 0.000) was higher compared to the healthy group. …”

DNA double strand break levels are altered during <i>C</i>. <i>elegans</i> germline aging. by Erik Toraason (5724689)

Table1_Development and Feasibility Assessment of Virtual Reality-Based Relaxation Self-Training Program.DOCX by Hyu Seok Jeong (11906249)

“…This study aimed to evaluate the feasibility of the newly developed VR-based relaxation training program. Both diaphragmatic breathing and PMR can be trained without an assistant using this VR application in three steps: 1) learning in a virtual clinic, 2) review in a comfortable virtual environment, and 3) practice in outdoor virtual environments. …”

Table_1_ECG-Based Indices to Characterize Persistent Atrial Fibrillation Before and During Stepwise Catheter Ablation.docx by Anna McCann (10495724)

DataSheet1_Attenuating coherent environmental noise in seismic data via the U-net method.pdf by Yu-Tai Wu (14584727)

I-R-Polar-Negative-0902 by Sheng-Yuan Ho (16909464)

“…Scalar estimation was then applied to change the Log10 distributions for the purpose of normalizing the reference data.The data is presented in the form of mean ± standard deviation. Statistical significance was determined when the p value was less than 0.05. …”

Ambient Air Pollutant Dynamics (2010–2025) and the Exceptional Winter 2016–17 Pollution Episode: Implications for a Uranium/Arsenic Exposure Event by Thomas Clemens Carmine (19756929)

“…Original, measured values retain a flag of 0.<br><br><i>2. Mean Imputation Fallback for Predictors:</i> Any remaining gaps in these non-PM₂.₅ pollutant columns (after linear interpolation) were filled using the overall column mean (sklearn.impute.SimpleImputer(strategy='mean')) to ensure a complete predictor set for the subsequent step. …”