Time step optimization can greatly improve the efficiency of training and inference. by Weijia Zhu (65481)

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(A) Auxiliary marking points to ensure complete and accurate seating of the prosthesis. by Long Li (6555)

Cinacalcet administered early in the inactive phase markedly decrease parathyroid Ki-67 index. by Søren Egstrand (10906087)

The impact of different diffusion model time steps on the model. by Weijia Zhu (65481)

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Self-confidence for LIO-ROP after each step of training (score 0–4). by Narisa Rattanalert (21445983)

Includes a file with the results on step parameters. by Sanne Ettema (18786312)

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Group-level narrow- and broad-band spectral changes after hemispherotomy reveal a marked EEG slowing of the isolated cortex, robust across patients. by Michele Angelo Colombo (22446342)

“…This decrease was larger in the disconnected than in the contralateral cortex. …”

Prediction (a-d) and infusion deviation (e-f) results under different training sets and test sets. by Leijie Wang (21485157)

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Picture representing real-time visual feedback for wide step width. by Fateme Khorramroo (18086501)

RMSE versus training parameters. by Zhe Hu (787283)

“…However, prediction accuracy diminishes for longer time steps as the step length increases. Following model updates with measured data, the accumulated prediction error rapidly decreases. …”

Map of Pakistan with marked Punjab province. by Sumaira Sumaira (21453523)

Accuracy and loss of LSTM model training and testing. by Leijie Wang (21485157)

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Biases in larger populations. by Sander W. Keemink (21253563)

“…<p>(<b>A</b>) Maximum absolute bias vs the number of neurons in the population for the Bayesian decoder. …”

The parameters of gas exchange markedly decreased in maize <i>zmstomagen1/2</i> mutant compared with in wild type (WT). by Juan-Juan Xu (18590868)

PLB is a target gene of miRNA 221. by Hongyu Li (1332669)

Setting of experimental environment and model parameters. by Guozhu Sui (21672798)

Comprehensive evaluation of machine-learning models in the training cohort. by Wentao Yang (205781)

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Experimental protocol consisting of four blocks (Unsupported Walking (UW), Body Weight Support (BWS), BWS + Mediolateral (ML) Forces, BWS + Anteroposterior (AP) Forces), separated... by Sanne Ettema (18786312)

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Step parameters for Unsupported Walking (UW), Body Weight Support (BWS, upper panel), Mediolateral Forces (ML, middle panel) and Anteroposterior Forces (AP, lower panel). by Sanne Ettema (18786312)

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Mean muscle activation patterns across the gait cycle during walking with mediolateral (ML) forces for <i>A)</i> able-bodied individuals and <i>B)</i> individuals after stroke duri... by Sanne Ettema (18786312)

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