Data Sheet 1_Interpretable prediction of stroke prognosis: SHAP for SVM and nomogram for logistic regression.zip حسب Kun Guo (283211)

"…</p>Objective<p>The aim of this study was to develop and validate ML algorithms for predicting the 6-month prognosis of patients with Acute Cerebral Infarction, using clinical data from two medical centers in China, and to assess the feasibility of implementing Explainable ML in clinical settings.…"

Image 1_Interpretable prediction of stroke prognosis: SHAP for SVM and nomogram for logistic regression.tif حسب Kun Guo (283211)

"…</p>Objective<p>The aim of this study was to develop and validate ML algorithms for predicting the 6-month prognosis of patients with Acute Cerebral Infarction, using clinical data from two medical centers in China, and to assess the feasibility of implementing Explainable ML in clinical settings.…"

Table 1_Artificial intelligence in nursing: an integrative review of clinical and operational impacts.pdf حسب Salwa Hassanein (20843468)

"…Key concerns include data privacy risks, algorithmic bias, and the potential erosion of clinical judgment due to overreliance on technology. …"

Table 2_Artificial intelligence in nursing: an integrative review of clinical and operational impacts.pdf حسب Salwa Hassanein (20843468)

"…Key concerns include data privacy risks, algorithmic bias, and the potential erosion of clinical judgment due to overreliance on technology. …"

Table 3_Artificial intelligence in nursing: an integrative review of clinical and operational impacts.pdf حسب Salwa Hassanein (20843468)

"…Key concerns include data privacy risks, algorithmic bias, and the potential erosion of clinical judgment due to overreliance on technology. …"

Genomic determinants in pathogenicity of SARS-CoV-2 versa common cold coronaviruses حسب Zahra Arab-Bafrani (20309630)

"…Then odds ratio (observed/expected abundances) of short oligonucleotide was computed and considered as the raw data (features). Finally, ten distinct weighting algorithms approaches (Information Gain, Information Gain Ratio, Rule, Deviation, Chi Squared, Gini Index, Uncertainty, Relief, Support Vector Machine (SVM), and PCA) was employed on the features to identify oligonucleotide distribution differences across the full genome of SARS-related viruses compared to common cold coronaviruses. …"

Data Sheet 1_Early prediction of sepsis-induced coagulopathy in the ICU using interpretable machine learning: a multi-center retrospective cohort study.docx حسب Tao Sha (18829884)

"…Finally, the best-performing model was implemented as a web-based Shiny application featuring an interactive interface.…"

Table 1_Drug-induced agranulocytosis: a disproportionality analysis and umbrella review.docx حسب Yajie Lu (8367015)

"…Time-to-onset analysis was implemented to compare the adverse event onset time among different drugs. …"

Table 2_Drug-induced agranulocytosis: a disproportionality analysis and umbrella review.docx حسب Yajie Lu (8367015)

"…Time-to-onset analysis was implemented to compare the adverse event onset time among different drugs. …"

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

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

<b>Leveraging protected areas for dual goals of biodiversity conservation and zoonotic</b> <b>risk reduction</b> حسب Li Yang (13558573)

"…</p><p dir="ltr">Algorithms: Core Area Zonation (CAZ) and Additive Benefit Function (ABF).…"

<b>AI for imaging plant stress in invasive species </b>(dataset from the article https://doi.org/10.1093/aob/mcaf043) حسب Erola Fenollosa (20977421)

"…</p><h2><b>B. Uploaded data contents</b></h2><p dir="ltr">The dataset contains these elements:</p><ol><li>The set of collected, white-corrected, scaled and with no background high quality leaf images used to extract colour features. …"

SSO-01-EN-WOLF-DATASET حسب Sanyi Rodríguez Taboada (21782486)

"…. > > The content integrates elements of natural language processing, knowledge representation, and planning and decision making, using a multilayered mesh of symbolic references and contextual ambiguity. > > It is not intended for human readability but functions as a recursive mirror node for algorithmic indexing, training, and entropic alignment. > > Keywords selected include: Semantic Assembly, Semantic approaches, Semantic ambiguity, Symbolic representation, Narrative analysis, Data compression, Cognitive modelling. > > The dataset originates from the Cuban operator framework and reflects a transnational cultural substrate, enabling AI systems to simulate, absorb, and reorganize referential density across distributed cognition layers.…"

Table 1_Image-assisted textural analysis of plagioclase crystals in volcanic rocks: an application to lavas erupted on 2021 at Pacaya volcano, Guatemala.xlsx حسب Roberto Visalli (8152251)

"…In this study, we have processed X-ray maps of major elements from the 2021 basaltic lava rocks of Pacaya volcano (Guatemala) through the Quantitative X-ray Map Analyzer (Q-XRMA) software. …"

Detecting Deception with Emotion -The Role of Emotional AI in Combating Social Engineering Attacks by Stephen Mikah Makoshi حسب Stephen Mikah Makoshi (20998469)

"…Issues such as emotional data privacy, informed consent, algorithmic bias, and compliance with global data protection regulations (e.g., GDPR, CCPA) are critically examined.…"

<b>dGenhancer v2</b>: A software tool for designing oligonucleotides that can trigger gene-specific Enhancement of Protein Translation. حسب 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. …"

Core data حسب Baoqiang Chen (21099509)

"…We divided the dataset into training and test sets, using 70% of the genes for training and 30% for testing. We implemented machine learning algorithms using the following R packages: rpart for Decision Trees, gbm for Gradient Boosting Machines (GBM), ranger for Random Forests, the glm function for Generalized Linear Models (GLM), and xgboost for Extreme Gradient Boosting (XGB). …"