Stronger Together: Unleashing the Social Impact of Hate Speech Research by Sidney Wong (13714252)

“…You Can (Not) Say What You Want: Using Algospeak to Contest and Evade Algorithmic Content Moderation on TikTok. …”

Table 1_Pancreatitis associated with immune checkpoint inhibitors: a pharmacovigilance analysis based on FDA adverse event reporting system (FAERS) database.docx by Lingli Huang (309787)

“…This study aimed to investigate the risk and profile of ICIs-related pancreatitis on a real world setting by analyzing the FDA Adverse Event Reporting System (FAERS) data.</p>Methods<p>Data were extracted from the FAERS database from the first quarter of 2011 to the third quarter of 2024. …”

Image 2_Pancreatitis associated with immune checkpoint inhibitors: a pharmacovigilance analysis based on FDA adverse event reporting system (FAERS) database.tif by Lingli Huang (309787)

“…This study aimed to investigate the risk and profile of ICIs-related pancreatitis on a real world setting by analyzing the FDA Adverse Event Reporting System (FAERS) data.</p>Methods<p>Data were extracted from the FAERS database from the first quarter of 2011 to the third quarter of 2024. …”

Image 1_Pancreatitis associated with immune checkpoint inhibitors: a pharmacovigilance analysis based on FDA adverse event reporting system (FAERS) database.tif by Lingli Huang (309787)

“…This study aimed to investigate the risk and profile of ICIs-related pancreatitis on a real world setting by analyzing the FDA Adverse Event Reporting System (FAERS) data.</p>Methods<p>Data were extracted from the FAERS database from the first quarter of 2011 to the third quarter of 2024. …”

10.2肺鳞状细胞癌.zip by Zhiwei Xv (19835028)

“…In our study, different ML algorithms including random forest, support vector machines, neural networks and deep learning models were used to construct predictive models for diagnosing lung cancer disease, treatment response and prognosis.…”

Non-Rigid 3D Human Models by David Pickup (19654909)

“…It includes both a dataset created from scans of real individuals, and a dataset of synthetically generated humans. The dataset has been used to benchmark non-rigid 3D shape retrieval algorithms.…”

Supplementary file 2_Educators’ reflections on AI-automated feedback in higher education: a structured integrative review of potentials, pitfalls, and ethical dimensions.docx by Latifah Hamdan Alghamdi (22611518)

“…Nonetheless, these advantages are persistently compromised by concerns regarding algorithmic bias, data privacy, the deterioration of teacher-student relationships, and inadequate professional growth. …”

Supplementary file 1_Educators’ reflections on AI-automated feedback in higher education: a structured integrative review of potentials, pitfalls, and ethical dimensions.docx by Latifah Hamdan Alghamdi (22611518)

“…Nonetheless, these advantages are persistently compromised by concerns regarding algorithmic bias, data privacy, the deterioration of teacher-student relationships, and inadequate professional growth. …”

Impaired rest-activity rhythm characteristics predict higher risk for incident type 2 diabetes in UK Biobank participants by Chris Ho Ching Yeung (21376128)

“…</p><p dir="ltr">Research Design and Methods</p><p dir="ltr">In actigraphy data from 83,887 UK Biobank participants, we applied both parametric and nonparametric algorithms to derive 13 different metrics characterizing different aspects of the rest-activity rhythm. …”

AI in Education by Shynggys Toktas (22633589)

“…In addition, it highlights potential risks and ethical challenges, including data privacy concerns, algorithmic bias, and the impact of generative AI tools on academic integrity.…”

<i>Watched at Work. -</i><i>The Gig Economy’s Surveillance Dilemma</i> by Shambhavi Palni (21242114)

“…Through an analysis grounded in Participatory Design, Design Justice, and Intersectionality, the report critiques how these systems often reinforce power imbalances, algorithmic bias, and worker precarity. It investigates the ethical implications of opaque algorithms and data practices, examining how workers’ rights are compromised in the absence of transparency and regulation. …”

Image 2_Progress and trends on machine learning in proteomics during 1997-2024: a bibliometric analysis.tif by Chao Tan (698513)

“…Future efforts should focus on building interpretable models, enhancing cross-disciplinary collaboration, and ensuring secure, standardized data use to advance precision medicine.</p>Systematic review registration<p>https://doi.org/10.17605/OSF.IO/F4WUG.…”

Table 1_Progress and trends on machine learning in proteomics during 1997-2024: a bibliometric analysis.docx by Chao Tan (698513)

“…Future efforts should focus on building interpretable models, enhancing cross-disciplinary collaboration, and ensuring secure, standardized data use to advance precision medicine.</p>Systematic review registration<p>https://doi.org/10.17605/OSF.IO/F4WUG.…”

Dataset for Partial Parallelism Plot Analysis in Neurodegeneration Biomarker Assays (2010–2024) by Axel Petzold (7076261)

“…<br></p><p dir="ltr">Each dataset entry is annotated with:</p><ul><li>Sample type (serum, plasma, cerebrospinal fluid)</li><li>Assay platform and dilution steps</li><li>Classification of outcome (partial parallelism achieved or not)</li></ul><p dir="ltr"><b>Use cases:</b><br>This dataset is designed to help researchers, assay developers, and meta-analysts to:</p><ul><li>Reproduce figures and analyses from the published review</li><li>Benchmark or validate new assay performance pipelines</li><li>Train algorithms for automated detection of dilutional non-parallelism</li></ul><p dir="ltr"><b>Files included:</b></p><ul><li><code>.csv</code> files containing dilution–response data</li><li>Metadata spreadsheets with assay and sample annotations</li></ul><p></p>…”

Image 1_Progress and trends on machine learning in proteomics during 1997-2024: a bibliometric analysis.png by Chao Tan (698513)

“…Future efforts should focus on building interpretable models, enhancing cross-disciplinary collaboration, and ensuring secure, standardized data use to advance precision medicine.</p>Systematic review registration<p>https://doi.org/10.17605/OSF.IO/F4WUG.…”

KITTI dataset and VOC2012 dataset by Yuan Zhang (22271329)

“…It is currently one of the most commonly used datasets for evaluating computer vision algorithms in autonomous driving scenarios. …”

Supplementary file 1_Comprehensive analysis of phagocytosis regulatory genes in bladder cancer: implications for prognosis and immunotherapy.xlsx by Xueming Ma (2119150)

“…A variety of algorithms and analysis techniques, such as Kaplan-Meier analysis, Cox regression analysis, and ConsensusClusterPlus clustering analysis, were used to identify PRGs related to the prognosis of bladder cancer patients, and functional analysis and clustering analysis were conducted in depth. …”

<b>dGenhancer v2</b>: A software tool for designing oligonucleotides that can trigger gene-specific Enhancement of Protein Translation. by Adam Master (20316450)

“…Prediction of total Gibbs energies (ΔG=ΔH–TΔS) of the 5’UTR structures can be performed using RNAstructure version 5.2. ΔGs are input data for final dGenhancer calculations as shown by Master A et al 2016¹</p><p dir="ltr"> The algorithms of the calculator were constructed to visualize ΔG changes after <i>in silico</i> introduced single nucleotide substitutions (SNPs) of the 5’UTR sequences. …”

Table 2_Machine learning prediction of obesity-associated gut microbiota: identifying Bifidobacterium pseudocatenulatum as a potential therapeutic target.xls by Hao Wu (65943)

“…</p>Methods<p>We leveraged gut microbiome data from 1,563 healthy individuals and 2,043 overweight patients sourced from the GMrepo database. …”

Table 1_Machine learning prediction of obesity-associated gut microbiota: identifying Bifidobacterium pseudocatenulatum as a potential therapeutic target.xls by Hao Wu (65943)

“…</p>Methods<p>We leveraged gut microbiome data from 1,563 healthy individuals and 2,043 overweight patients sourced from the GMrepo database. …”