Assessment of key factors influencing beta diversity using permutational multivariate analysis of variance (PERMANOVA, Adonis algorithm). by Lin Xu (94491)

Evaluating the Vascular Risk of PFCs: An Integrated XGBoost-Driven Structure–Activity Prediction and Experimental Validation Study by Gan Miao (15997685)

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Effects of noise level and surround suppression threshold on model convergence time in the RDK task, experiment III. by Elnaz Nemati (21402730)

Data Sheet 1_Assessment of shoulder functional movements through inertial measurement units for tele-rehabilitation: a quaternion-based approach.pdf by Matteo Iurato (22155370)

“…<p>Telerehabilitation improves accessibility and accelerates recovery: in this context, Inertial Measurement Units (IMUs) are promising wearable sensors for remote movement data collection, which allows to evaluate how closely exercise repetitions align with a prescribed trajectory. …”

Data collection for developing the control model for the soft leg. by Hongjun Meng (5031806)

The correlation coefficient matrix, means, standard deviation, correlation coefficient, and square root of AVE (N = 368). by Linsha Liu (20378293)

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Bootstrap results (N = 368). by Linsha Liu (20378293)

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Analysis of confirmatory factors (N = 368). by Linsha Liu (20378293)

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The relevant data file for this article. by Linsha Liu (20378293)

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Results of common fit indexes for SEM (N = 368). by Linsha Liu (20378293)

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Model diagram for virtual social behaviors, degree of loneliness, and social anxiety. by Linsha Liu (20378293)

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Demographic profile of the survey participants (N = 368). by Linsha Liu (20378293)

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Model diagram of virtual social behavior, real-world loneliness, and social anxiety. by Linsha Liu (20378293)

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DataSheet1_Machine learning’s effectiveness in evaluating movement in one-legged standing test for predicting high autistic trait.docx by Yoshimasa Ohmoto (19862184)

“…Since machine learning is a powerful technique for learning predictive models from movement data, it can objectively evaluate the processes involved in OLST. …”

Workflow of the BOMS algorithm. by Ocima Kamboj (21533199)

Data Sheet 1_Strategies for population-level identification of post-acute sequelae of COVID-19 through health administrative data.pdf by Cristina Mazzali (22090328)

“…From each included study, we extracted data on design, algorithms used for outcome identification (sources, coding systems, codes, time criteria/thresholds), and whether significant associations with SARS-CoV-2 infection were reported.…”

K-means clustering method based on PCA algorithm. by Elmira Bagheri (20553110)

“…Nineteen real driving cycles were generated using widely employed K-means and PCA algorithms. The vehicles were simulated on MATLAB/Simulink according to their specifications. …”

Validation results on the Tromsø Study accelerometer data subsample. by Marc Weitz (8131560)

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Multi-scale surface deformation monitoring technology combined with numerical simulation analysis of the influence of front edge erosion on landslide deformation work flow chart. by Xiaowei Li (620087)

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Parameter setting of airborne LiDAR measurement engineering equipment. by Xiaowei Li (620087)

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