Illustration of all features correlation. by Mahade Hasan (20536430)

“…In response to this need, we applied nine machine learning algorithms XGBoost, logistic regression, decision tree, random forest, k-nearest neighbors (KNN), support vector machine (SVM), gaussian naïve bayes (NB gaussian), adaptive boosting, and linear regression to predict heart disease based on a range of physiological indicators. …”

Table 1_Predicting the potential distribution of major marine mammals in the Cosmonaut Sea.docx by Yufei Dai (621612)

“…The Cosmonaut Sea, notable for its dynamic sea ice and rich biological activity, remains one of the least explored regions in the Southern Ocean, with limited data on its marine mammal populations. This study conducted during the 38th Chinese National Antarctic Research Expedition (CHINARE) from January to March 2022, collected systematic data on marine mammal occurrences. …”

Unsupervised machine learning with different sampling strategies and topographic factors for distinguishing between landslide source and runout areas to improve landslide inventory... by Jhe-Syuan Lai (19733974)

“…Because of practical challenges associated with the inability to determine whether remote sensing results correspond to landslide sources or runout areas, the first sampling strategy was used to test the feasibility of the adopted algorithms. …”

Table 1_The quintenary influence of industrial wastes on the compressive strength of high-strength geopolymer concrete under different curing regimes for sustainable structures; a... by Cesar Garcia (17935273)

“…However, repeated experimental trials costs a huge budget, hence the prediction and validation of the strength behavior of the GPC mixed with some selected industrial wastes. Data gathering and analysis of a total 249 globally representative datasets of a high-strength geopolymer concrete (HSGPC) collected from experimental mix entries has been used in this research work. …”

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

“…Utilizing machine learning (ML) algorithms to predict obesity-associated gut microbiota and validating their efficacy with specific bacterial strains could significantly enhance obesity management strategies.…”

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

“…Utilizing machine learning (ML) algorithms to predict obesity-associated gut microbiota and validating their efficacy with specific bacterial strains could significantly enhance obesity management strategies.…”

Data Sheet 1_Application and research progress on artificial intelligence in the quality of Traditional Chinese Medicine.pdf by Mei-Yu Li (8505678)

“…However, with the rapid expansion of the TCM industry, conventional quality control approaches based on empirical observations and single-metabolite quantification have become increasingly inadequate for addressing the complex and variable requirements of quality assessment. …”

Estilometría TIP: enhanced text analysis tool with customisable metrics for Spanish texts by Francisco J. Carreras-Riudavets (20562834)

“…However, most tools are developed for English, limiting their effectiveness for Spanish texts, which involve complex inflections. …”

Processed Dataset for “Optimization of Mixed-Model Multi-Manned Assembly Lines for Fuel–Electric Vehicle Co-Production under Workstation Sharing” by Lingling Hu (22555691)

“…<p dir="ltr">This dataset contains the anonymized and processed production data used in the study titled “Optimization of Mixed-Model Multi-Manned Assembly Lines for Fuel–Electric Vehicle Co-Production under Workstation Sharing,” submitted to <i>World Electric Vehicle Journal (WEVJ)</i>.…”

Coupling machine learning and group contribution method to predict density and viscosity of ionic liquid-inorganic solvent-water ternary mixtures by Sulei Ma (18629684)

“…This study explores the use of a hybrid approach that combines the group contribution (GC) method with advanced machine learning (ML) algorithms to predict the density and viscosity of ternary mixtures comprising ionic liquids (ILs), inorganic solvents (ICs), and water. …”

Supplementary file 1_Retinal features as predictive indicators for high myopia: insights from explainable multi-machine learning models.docx by Haohan Zou (15255107)

“…A deep semantic segmentation network was used to quantify retinal structural parameters. Five ML algorithms were evaluated to develop predictive models, and SHapley Additive exPlanations method was applied to analyze feature contribution to the outcomes.…”

Supplementary file 2_Retinal features as predictive indicators for high myopia: insights from explainable multi-machine learning models.docx by Haohan Zou (15255107)

“…A deep semantic segmentation network was used to quantify retinal structural parameters. Five ML algorithms were evaluated to develop predictive models, and SHapley Additive exPlanations method was applied to analyze feature contribution to the outcomes.…”

Table1_Humpback whales (Megaptera novaeangliae) in Hervey Bay, Australia: a stopover for females early in their southern migration.docx by Lyndon Brooks (11787575)

“…Photo-identification data were collected over 10 weeks per year from 1997 to 2009. …”

<b>NanoNeuroBot: Beyond Healing, Toward Human Connection</b> by ahmed hossam (21420446)

“…The research also explores development timelines, projected budgets, ethical concerns, and translational potential in both clinical and commercial applications.…”

Data Sheet 2_Construction of a management protocol for high-risk neurogenic bladder in Chinese patients with type 2 diabetes: a Delphi study.docx by Senying Luo (22449328)

“…Objectives<p>The objective of this study is to establish an evidence-based protocol for managing high-risk neurogenic bladder (NB) in Chinese patients with T2DM, integrating risk stratification to standardize clinical practice in China region.…”

Seamless integration of legacy robotic systems into a self-driving laboratory via NIMO: a case study on liquid handler automation by Ryo Tamura (1957942)

“…<p>The orchestration software (OS) for controlling self-driving laboratories (SDLs) has been advanced significantly in recent years. We developed NIMO (formerly NIMS-OS, NIMS Orchestration System), an OS explicitly designed to integrate multiple artificial intelligence (AI) algorithms with diverse exploratory objectives. …”

A systematic review of ionizing radiation-induced glaucoma: clinical manifestations, pathogenesis, and current treatment approaches by Anqi Wu (3413069)

“…Advancing the field will require mechanistic studies to clarify radiation-induced optic neuropathy and vascular injury, alongside well-designed trials to establish preventive strategies and evidence-based treatment algorithms.</p>…”

Data Sheet 1_Construction of a management protocol for high-risk neurogenic bladder in Chinese patients with type 2 diabetes: a Delphi study.doc by Senying Luo (22449328)

“…Objectives<p>The objective of this study is to establish an evidence-based protocol for managing high-risk neurogenic bladder (NB) in Chinese patients with T2DM, integrating risk stratification to standardize clinical practice in China region.…”

Safety assessment of cabozantinib in patients with renal cell carcinoma: retrospective pharmacovigilance study based on FAERS database by Zhipeng Wang (154599)

“…</p> <p>Reporting odds ratio (ROR), proportional reporting ratio (PRR), Bayesian confidence propagation neural network (BCPNN), and multi-item gamma Poisson shrinker (MGPS) algorithms were used to detect drug-related AEs signals from reporting data in FAERS database from 2016 to 2024.…”

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. …”