SPSS Data File for Sample 2. حسب Mariusz Zięba (21369920)

"…The response functions switch attention and processing to what is likely to be helpful in alleviating suffering, distress and need, called action. …"

Right Knee fNIRS MI Dataset حسب Hammad Gilani (8060012)

"…<p><br></p><p dir="ltr">This dataset contains functional near-infrared spectroscopy (fNIRS) signals recorded during motor imagery (MI) tasks of lower limb movements. …"

Left Knee fNIRS MI Dataset حسب Hammad Gilani (8060012)

"…<p><br></p><p dir="ltr">This dataset contains functional near-infrared spectroscopy (fNIRS) signals recorded during motor imagery (MI) tasks of lower limb movements. …"

Left Ankle fNIRS MI Dataset حسب Hammad Gilani (8060012)

"…<p><br></p><p dir="ltr">This dataset contains functional near-infrared spectroscopy (fNIRS) signals recorded during motor imagery (MI) tasks of lower limb movements. …"

Bias of frequencies estimates—the balanced case: حسب Henri Christian Junior Tsoungui Obama (10432244)

Bias of frequencies estimates – the unbalanced case: حسب Henri Christian Junior Tsoungui Obama (10432244)

Dataset: EEG-Controlled Exoskeleton for Walking and Standing - A Longitudinal Study of Healthy Individuals حسب Shantanu Sarkar (20848745)

Two datasets. حسب Salem A. Alyami (10572611)

"…<div><p>This article examines the estimate of <i>ϑ</i> = <i>P</i> [<i>T</i> < <i>Q</i>], using both Bayesian and non-Bayesian methods, utilizing progressively first-failure censored data. …"

Histogram of MCMC estimates of <i>ϑ</i>. حسب Salem A. Alyami (10572611)

"…<div><p>This article examines the estimate of <i>ϑ</i> = <i>P</i> [<i>T</i> < <i>Q</i>], using both Bayesian and non-Bayesian methods, utilizing progressively first-failure censored data. …"

Trace plot of MCMC estimates of <i>ϑ</i>. حسب Salem A. Alyami (10572611)

"…<div><p>This article examines the estimate of <i>ϑ</i> = <i>P</i> [<i>T</i> < <i>Q</i>], using both Bayesian and non-Bayesian methods, utilizing progressively first-failure censored data. …"

The POFIF-C samples from the real data sets. حسب Salem A. Alyami (10572611)

"…<div><p>This article examines the estimate of <i>ϑ</i> = <i>P</i> [<i>T</i> < <i>Q</i>], using both Bayesian and non-Bayesian methods, utilizing progressively first-failure censored data. …"

General Chemically Intuitive Atom- and Bond-Level DFT Descriptors for Machine Learning Approaches to Reaction Condition Prediction حسب Miguel Nouman (21557202)

"…Remarkably, the best performing neural network trained on hybrid embeddings outperforms the best purely structural model investigated despite the latter benefiting from of an embedding strategy with 267 times more data points than the one used for generating and embedding hybrid descriptors, with both strategies being unsupervised learning algorithms that share considerable conceptual and architectural similarities.…"

General Chemically Intuitive Atom- and Bond-Level DFT Descriptors for Machine Learning Approaches to Reaction Condition Prediction حسب Miguel Nouman (21557202)

"…Remarkably, the best performing neural network trained on hybrid embeddings outperforms the best purely structural model investigated despite the latter benefiting from of an embedding strategy with 267 times more data points than the one used for generating and embedding hybrid descriptors, with both strategies being unsupervised learning algorithms that share considerable conceptual and architectural similarities.…"

General Chemically Intuitive Atom- and Bond-Level DFT Descriptors for Machine Learning Approaches to Reaction Condition Prediction حسب Miguel Nouman (21557202)

"…Remarkably, the best performing neural network trained on hybrid embeddings outperforms the best purely structural model investigated despite the latter benefiting from of an embedding strategy with 267 times more data points than the one used for generating and embedding hybrid descriptors, with both strategies being unsupervised learning algorithms that share considerable conceptual and architectural similarities.…"

Spiking neural network model of the cerebellum with 5,000 neurons in Go/No-go tasks. حسب Huu Hoang (9188747)

Forest plots for safety outcomes related to symptoms. حسب Reina Tonegawa-Kuji (20724254)

Forest plots for safety outcomes. حسب Reina Tonegawa-Kuji (20724254)

Forest plots for change in Clinical Dementia Rating-Sum of Boxes (CDR-SB). حسب Reina Tonegawa-Kuji (20724254)

Forest plots for change in Alzheimer’s Disease Assessment Scale-Cognitive Subscale (ADAS-Cog). حسب Reina Tonegawa-Kuji (20724254)

Data. حسب Naiara Virto (20490408)

"…</p><p>Results</p><p>The predictive models used in this study exhibited AUC scores of 0.7671 for MQI and 0.7649 for sarcopenia, with the most successful algorithms being SVM and MLP. Key factors in predicting both conditions have been shown to be relative power, age, weight, and the 5STS. …"