Table 4_Transcriptomic insights into the mechanism of action of telomere-related biomarkers in rheumatoid arthritis.xlsx by Lijuan Feng (3746086)

“…Biomarkers were subsequently identified using machine learning algorithms, receiver operating characteristic analysis, and expression level comparisons between RA and control samples. …”

Table 1_Transcriptomic insights into the mechanism of action of telomere-related biomarkers in rheumatoid arthritis.xlsx by Lijuan Feng (3746086)

“…Biomarkers were subsequently identified using machine learning algorithms, receiver operating characteristic analysis, and expression level comparisons between RA and control samples. …”

Dataset - Biopharmaceutical manufacturing by Zhihan Zhang (22021304)

“…This data is highly suitable for the development of big data analytics, machine learning (ML) or artificial intelligence (AI) algorithms applicable to the biopharmaceutical industry. …”

Generative AI and Journalism: Content, Journalistic Perceptions, and Audience Experiences by T.J. Thomson (9015119)

“…These biases exist because of human biases embedded in training data and/or the conscious or unconscious biases of those who develop AI algorithms and models. …”

Revolutionizing Research with AI: Tools and Trends for the Modern Scholar by Muthuraj Anbalagan (5024999)

“…Despite its advantages, the adoption of AI in research requires careful consideration of ethical issues, such as algorithmic bias and data privacy, to ensure responsible and fair use. …”

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

“…The validation process focuses on key aspects, including data synchronization, electrode location validation, and the validation of both EEG and MRI data.…”

Disproportionality Analysis of Fondaparinux-Associated Adverse Events Based on the FDA Adverse Event Reporting System (FAERS) by fengjiao kang (22627709)

“…Instead, this dataset provides the cleaned and structured data that were used as input for the statistical algorithms in the paper.…”

Supplementary Material by Afshin Kouhkord (18929446)

“…Additionally, the detailed fabrication process of the acousto-microfluidic chip is described, along with data-driven surrogate modeling data-sheets. …”

Database of Electromyography and Digit Force during Precision Grasping of Objects at Different Weights by Salman Khan (18105799)

“…The data acquisition process and preliminary analysis steps are mentioned in this study. …”

A multi-paradigm and longitudinal EEG dataset including the “sixth-finger” and “affected-hand” motor imagery of stroke patient by Zhuang Wang (22542833)

“…The dataset comprehensively covers the complete longitudinal stages of stroke rehabilitation: pre-training, post-training, and follow-up periods. The data materials include: 1) raw EEG data, 2) preprocessed data, and 3) patient clinical information. …”

Table 2_Application of digital-intelligent technologies in physical education: a systematic review.xlsx by Qiying Zhong (21776771)

“…Challenges remain in algorithmic accuracy, data privacy, and unequal access to digital resources.…”

Table 1_Application of digital-intelligent technologies in physical education: a systematic review.xlsx by Qiying Zhong (21776771)

“…Challenges remain in algorithmic accuracy, data privacy, and unequal access to digital resources.…”

Figures for heart attack prediction using ML by Krishnaraj Chadaga (20563994)

“…<p dir="ltr">Heart attack prediction using machine learning involves analyzing biomarkers such as cholesterol levels, blood pressure, heart rate, glucose levels, and inflammatory markers like C-reactive protein to assess risk. Advanced algorithms, including logistic regression, decision trees, random forests, and deep learning models, process this data to identify patterns linked to heart attacks. …”

Predictors of evacuation behavior: dataset on respondents’ route choice and web interaction by Dajana Snopková (20191691)

“…Empirical data on human evacuation behavior are invaluable for adjusting and training computational algorithms that simulate evacuation processes, including agent-based modeling. …”

Table 1_Reducing misdiagnosis in AI-driven medical diagnostics: a multidimensional framework for technical, ethical, and policy solutions.docx by Yue Li (102191)

“…</p>Methods<p>We conducted a literature review and case analysis across major medical fields, evaluating failure modes such as data pathology, algorithmic bias, and human-AI interaction. …”

Scientific Machine Learning for Spatiotemporal Dynamics: Modeling and Control by Xin-Yang Liu (21088832)

“…These advancements collectively enable accurate, efficient, and scalable solutions, bridging the gap between data-driven methods and physics-based algorithms for modeling and controlling spatiotemporal dynamics.…”

Table 1_Development of an upper limb muscle strength rehabilitation assessment system using particle swarm optimisation.xlsx by Chuangan Zhou (21684530)

“…Simultaneously, triaxial kinematic data of the glenohumeral joint were obtained via an MPU6050 inertial measurement unit, processed through quaternion-based orientation estimation. …”

Table 1_On the construction of a large-scale database of AI-assisted annotating lung ventilation-perfusion scintigraphy for pulmonary embolism (VQ4PEDB).docx by Amir Jabbarpour (21731339)

“…Data extraction was performed at two hospitals in Canada and at multiple sites in the United States, followed by a rigorous de-identification process. …”

Table 2_On the construction of a large-scale database of AI-assisted annotating lung ventilation-perfusion scintigraphy for pulmonary embolism (VQ4PEDB).docx by Amir Jabbarpour (21731339)

“…Data extraction was performed at two hospitals in Canada and at multiple sites in the United States, followed by a rigorous de-identification process. …”

pointpairs.json by Juan Wang (115708)

“…This data represents the pairwise correspondence of single reflections traced via OptiX, specifically recording the point-to-point mapping relationships generated by single reflection events in the optical simulation process, which can support the verification and optimization of specular surface reconstruction algorithms.…”