Demographic information of participants. by Zixia Bu (21475019)

“…The longitudinal results showed a decreasing trend of negative correlation between AB and PA under T1-T3 stages (r = −0.29, r = −0.44, P < 0.01), and no significant change in the degree of negative correlation with HSK (r = −0.28, r = −0.35, P < 0.01). …”

Project Summary - Supporting Learners with a contextualised Community of Practice (CoP) by Leigh-Anne Perryman (20453192)

“…<table><tr><td><p> </p><p dir="ltr">Long-standing evidence from within and outside the OU consistently shows that insufficient interactions and a deficit of social learning practices are amongst the main barriers to online learners' engagement, retention and attainment. …”

Clinical diagnostic efficacy comparison of the proposed hybrid model and benchmark machine learning models. Metrics are reported as point estimates with 95% CIs. This table offers a discussion of the measures of high interest in clinical implementation. Sensitivity (true positive rate) reflects the ability to correctly identify patients with CVD, while Specificity (true negative rate) indicates the ability to correctly rule out patients without CVD. The Negative Likelihood Ratio quantifies how much the odds of having the disease decrease with a negative test result, where smaller values indicate stronger diagnostic power.... by Medhat A. Tawfeek (22522087)

“…The Negative Likelihood Ratio quantifies how much the odds of having the disease decrease with a negative test result, where smaller values indicate stronger diagnostic power. …”

Linear regression analysis. by Young Kyu Lee (14076058)

“…</p><p> Methods </p><p>CT images were acquired from consecutive 40 patients who received HTRT or RT alone for metastatic abdominal lymph nodes. …”

Patient characteristics. by Young Kyu Lee (14076058)

“…</p><p> Methods </p><p>CT images were acquired from consecutive 40 patients who received HTRT or RT alone for metastatic abdominal lymph nodes. …”

Supplementary Material for: Feedback from human instructors is superior to guidance by a virtual reality simulator when learning flexible bronchoscopy – a randomized controlled tri... by figshare admin karger (2628495)

Saliency maps were employed in order to elucidate which part of the B-scan images the machine learning focused on during training in Model 1. by Taku Toyama (102864)

The significant decrease in GLT-1 levels observed in the nucleus accumbens of rats that had consumed morphine for fifty-six days was completely reversed by the co-administration of... by María Elena Quintanilla (8068691)

<b>Data used in research article: </b><b>Coral tissue depth reconstructed using skeletal microstructural offsets is driven by environmental stress</b> by James Vincent (22772042)

Barbie’s ankle equinus measured at 50 degrees as equnius posture (a) and flat foot posture measured at 0 degrees (b), with a handheld goniometer. by Cylie Williams (3446018)

Learning-related changes in assembly–reader relations. by Marco N. Pompili (12288422)

Presentation 1_Differences in firing patterns along the dorsal-intermediate hippocampal axis in a fixed route during a change in emotional context.pptx by Ryan Troha (22597001)

Image 2_Construction of a clinical prediction model for osteoporosis in asymptomatic elderly population based on machine learning algorithm.tif by Jiaming Wang (2637667)

“…Background<p>Osteoporosis is a metabolic bone disease characterized by a decrease in the amount of bone per unit volume. …”

Table 1_Construction of a clinical prediction model for osteoporosis in asymptomatic elderly population based on machine learning algorithm.docx by Jiaming Wang (2637667)

“…Background<p>Osteoporosis is a metabolic bone disease characterized by a decrease in the amount of bone per unit volume. …”

Image 1_Construction of a clinical prediction model for osteoporosis in asymptomatic elderly population based on machine learning algorithm.tif by Jiaming Wang (2637667)

“…Background<p>Osteoporosis is a metabolic bone disease characterized by a decrease in the amount of bone per unit volume. …”

Evaluation results. by Briya Tariq (19666901)

“…<div><p>Spectral Photon Counting Computed Tomography (SPCCT), a ground-breaking development in CT technology, has immense potential to address the persistent problem of metal artefacts in CT images. …”

Dataset with steel insert. by Briya Tariq (19666901)

“…<div><p>Spectral Photon Counting Computed Tomography (SPCCT), a ground-breaking development in CT technology, has immense potential to address the persistent problem of metal artefacts in CT images. …”

Reference dataset. by Briya Tariq (19666901)

“…<div><p>Spectral Photon Counting Computed Tomography (SPCCT), a ground-breaking development in CT technology, has immense potential to address the persistent problem of metal artefacts in CT images. …”

Dataset with aluminium insert. by Briya Tariq (19666901)

“…<div><p>Spectral Photon Counting Computed Tomography (SPCCT), a ground-breaking development in CT technology, has immense potential to address the persistent problem of metal artefacts in CT images. …”

Summary of the simulated sample sequencing experiment. by Tingting Tian (2158204)