Massive Mixed Models in Julia by Phillip M. Alday (2814652)

“…<p dir="ltr">Traditional approaches to mixed effects models using generalized least squares or expectation-maximization approaches struggle to scale to datasets with many thousands of observations and hundreds of levels of a single blocking variable. Special casing of nesting or crossing of random effects is required to achieve acceptable computational performance, but this special casing often makes it very difficult to handle less-than-idealized cases, such partial crossing or multiple levels of nesting. …”

Table & Figure.pdfBrainwaves and Higher-Order Thinking: An EEG Study of Cognitive Engagement in Mathematics Tasks by NORLIZA BINTI MOHAMED (20739875)

“…Supplementary Materials</p> <p><br></p> <p>Experimental protocols and study design details</p> <p><br></p> <p>Questionnaires, surveys, or rubrics used in the study</p> <p><br></p> <p>Educational materials related to HOTS-based mathematics tasks</p> <p><br></p> <p><br></p> <p><br></p> <p>3. Code and Algorithms (if applicable)</p> <p><br></p> <p>Scripts for EEG signal processing and analysis</p> <p><br></p> <p>Machine learning or statistical modeling scripts</p> <p><br></p> <p>Any software implementation used to analyze brainwave patterns</p> <p><br></p> <p><br></p> <p><br></p> <p>4. …”

In-vehicle trajectory guidance system considering road emergency events by Yuansheng Lian (21010060)

“…<p>Connected and automated vehicles (CAVs) can improve traffic flow characteristics by implementing advanced control algorithms and real-time coordination mechanisms. …”

Raw Data EEG.pdfBrainwaves and Higher-Order Thinking: An EEG Study of Cognitive Engagement in Mathematics Tasks by NORLIZA BINTI MOHAMED (20739875)

“…Supplementary Materials</p> <p><br></p> <p>Experimental protocols and study design details</p> <p><br></p> <p>Questionnaires, surveys, or rubrics used in the study</p> <p><br></p> <p>Educational materials related to HOTS-based mathematics tasks</p> <p><br></p> <p><br></p> <p><br></p> <p>3. Code and Algorithms (if applicable)</p> <p><br></p> <p>Scripts for EEG signal processing and analysis</p> <p><br></p> <p>Machine learning or statistical modeling scripts</p> <p><br></p> <p>Any software implementation used to analyze brainwave patterns</p> <p><br></p> <p><br></p> <p><br></p> <p>4. …”

Data Sheet 2_Commonalities and differences in gene expression patterns in major depressive disorder and chronic spontaneous urticaria: implications for comorbidity.zip by Yibo Jiang (444558)

“…Subsequently, machine learning algorithms were implemented via 10-fold cross-validation to build transcriptomic classifiers for MDD in a sex-stratified manner. …”

Data Sheet 3_Commonalities and differences in gene expression patterns in major depressive disorder and chronic spontaneous urticaria: implications for comorbidity.pdf by Yibo Jiang (444558)

“…Subsequently, machine learning algorithms were implemented via 10-fold cross-validation to build transcriptomic classifiers for MDD in a sex-stratified manner. …”

Data Sheet 1_Commonalities and differences in gene expression patterns in major depressive disorder and chronic spontaneous urticaria: implications for comorbidity.zip by Yibo Jiang (444558)

“…Subsequently, machine learning algorithms were implemented via 10-fold cross-validation to build transcriptomic classifiers for MDD in a sex-stratified manner. …”

Data Sheet 1_Diagnostic accuracy of artificial intelligence models in detecting congenital heart disease in the second-trimester fetus through prenatal cardiac screening: a systema... by Lies Dina Liastuti (12513675)

“…</p>Conclusion<p>Although several limitations must be addressed before AI models can be implemented in clinical practice, AI has shown promising results in CHD diagnosis. …”

The research steps followed. by Suleyman Sisman (16914819)

“…The objective of this paper is twofold: firstly, to design a building energy data model as an extension of NSDI in Türkiye and then implementing and populating it with real data taken from energy performance certificates from the Tuzla District in Istanbul; and secondly, to develop energy performance prediction models with Machine Learning (ML) algorithms (i.e., Random Forest (RF), Gradient Boosting Machine (GBM), Light Gradient Boosting Machine (LightGBM) and Extreme Gradient Boosting (XGBoost) in order to estimate the overall performance scores of the buildings. …”

Building energy dataset features for modelling. by Suleyman Sisman (16914819)

“…The objective of this paper is twofold: firstly, to design a building energy data model as an extension of NSDI in Türkiye and then implementing and populating it with real data taken from energy performance certificates from the Tuzla District in Istanbul; and secondly, to develop energy performance prediction models with Machine Learning (ML) algorithms (i.e., Random Forest (RF), Gradient Boosting Machine (GBM), Light Gradient Boosting Machine (LightGBM) and Extreme Gradient Boosting (XGBoost) in order to estimate the overall performance scores of the buildings. …”

Evaluating the effectiveness of safety countermeasures at highway–railway grade crossing based on a machine learning framework by Mohammadali Zayandehroodi (19746176)

“…The XGBoost and random forest (RF) algorithms are employed to identify influential collision severity factors. …”

Table 1_Predicting the risk of depression in older adults with disability using machine learning: an analysis based on CHARLS data.docx by Tongtong Jin (7039082)

“…</p>Conclusion<p>This study developed an AI-based tool for depression risk assessment in older adults with disability through a multi-stage feature selection process and a temporal external validation framework. These findings provide a practical screening instrument and a methodological reference for implementing AI technologies in geriatric mental health applications, thereby facilitating clinical translation of predictive analytics in this field.…”

Data Sheet 1_Artificial intelligence in hospital infection prevention: an integrative review.docx by Rabie Adel El Arab (14113425)

“…</p>Methods<p>This integrative review synthesized findings from 42 studies, guided by the SPIDER framework for inclusion criteria. …”

Supplementary Material for: Analytical validation of wrist-worn accelerometer-based step count methods during structured and free-living activities by Marcotte R.T. (20414558)

“…Four open-source methods implementing different algorithmic approaches were applied to CPIW data to derive step counts. …”

Abbreviations used in the text. by Lorenzo Ruinelli (13014138)

“…Machine Learning (ML) algorithms were developed with 10-fold cross-validation, and diagnostic accuracy was evaluated.…”

<b>PRISMA-P checklist for</b><b> “Protocol for Conducting a Scoping Review on The Use of AI in Automated Scoring of Short-Answer Questions in Medical Education”</b> by S. Ayhan ÇALIŞKAN (22626020)

“…Following the Joanna Briggs Institute methodology and the Population–Concept–Context framework, the review will include empirical studies published since 2015 involving medical students and AI-driven SAQ scoring. Findings will provide an evidence-based overview of current practices, highlight gaps in the literature, and inform future research and implementation strategies for AI-assisted assessment in medical education.…”

Data Sheet 1_Testing the applicability of a governance checklist for high-risk AI-based learning outcome assessment in Italian universities under the EU AI act annex III.pdf by Flavio Manganello (21449075)

“…This creates accountability gaps affecting student rights and educational equity, as institutions lack systematic tools to demonstrate that algorithmic assessment systems produce valid and fair outcomes.…”

Microscopic Detection and Quantification of Microplastic Particles in Environmental Water Samples by Derek Lam (11944213)

“…Phase contrast microscopy (Zeiss, 10X objective) was employed to capture high-resolution images. Image processing algorithms, implemented in Python using adaptive thresholding techniques, were applied to segment particles from the background. …”

“Genie Replication Package: Resolution of Kryptos K4 via Berlin Clock Route and Substitution Funnel” by Alan Glanz (22109698)

“…<h2>Research Description</h2><p dir="ltr">This work presents a replication-ready implementation of the <b>Genie Engine</b>, an algorithmic framework designed to evaluate candidate solutions for the final section (K4) of the <i>Kryptos</i> sculpture at CIA Headquarters. …”

Climate anomalies due to Cerrado native vegetation loss by Argemiro Leite-Filho (10283801)

“…</li></ul><p dir="ltr"><b>Code/software</b></p><p dir="ltr">To analyze the CSV files in your dataset, you can use various software options, such as R and Microsoft Excel. …”