5-fold validation results for model training with sex-specific data. by M. Mendez (6624953)

Percents of students’ preference for basic sciences as a prospective career. by Dima Alhomsi (15246142)

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A Reasons motivate students to study Basic Medical Sciences. by Dima Alhomsi (15246142)

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Accuracy metrics with different percentage of the training dataset. by Saravanan Manoharan (21273304)

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Flowchart of CNNBLSTM algorithm. by Guozhu Sui (21672798)

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Comparison of TL and VL of different algorithms. by Guozhu Sui (21672798)

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Analysis of ST characteristics of TF. by Guozhu Sui (21672798)

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Schematic diagram of STTFP model. by Guozhu Sui (21672798)

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Summary of the methods in current research. by Guozhu Sui (21672798)

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Diagram of the improved CNNBLSTM model. by Guozhu Sui (21672798)

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Punch types and its kinematics: (a) No punch (b) Long-range rear jab to head (c) Mid-range rear hook to head (d) Mid-range rear uppercut to head. by Saravanan Manoharan (21273304)

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Time course of Path Length, LFS and Velocity during postural training. by Cristina Dolciotti (16317330)

Expert annotation of uncertain instances to refine model training. by Saravanan Manoharan (21273304)

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Percents of reasons that hinder students from pursuing basic medical sciences as a prospective career. by Dima Alhomsi (15246142)

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DLS mGluR1/5 signaling activation in instrumental conditioning and differential behavioral sensitivity to A–O changes with training duration. by Vincent Paget-Blanc (21807763)

IMU data and video synchronization. by Saravanan Manoharan (21273304)

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Video 1_The clinical application value of mixed reality in robotic laparoscopic partial nephrectomy.mp4 by Xin Chang Zou (20129301)

“…All patients underwent mid-abdominal CT plain scans and enhancements. The MR group utilized three-dimensional reconstruction of CT data and employed 3D tablets and HoloLens glasses for preoperative discussions, surgical planning, and intraoperative guidance. …”

Data set. by Belachew Tekleyohannes Wogayehu (19470257)

“…Data was collected using a structured questionnaire adapted from Nordic occupational skin questionnaire and observational checklist through face to face interview and observation. …”

Original data. by Yaotian Fan (5917766)

“…Data were analyzed using logistic and linear regression with SPSS-27.…”

Ct values and gene copies measured for each pathogen during field work, alongside national surveillance data; pH and NH3-N characterisation. by Jay C. Bullen (10232606)