Set (abstract data type)

A decision-support model using Analytic Hierarchy Process to select optimal application server architectures by evaluating multiple design criteria and architectural trade-offs.

A critical examination of validity threats in observational studies, including confounding, selection bias, time-varying confounding, measurement error, and missing data handling strategies.

Virtual reality study demonstrates how immersive wetland exploration significantly improves empathy and ecological literacy for neglected reptile and amphibian species in urban environments.

Researchers developed an intelligent software system using network models and vector optimization to manage investment projects adaptively under multiple objectives and uncertainty.

Study develops pre-course aptitude test to predict introductory programming performance and identify students needing additional support using machine learning models.

Methodology and automated system for identifying and prioritizing geometric and structural factors in vector image quality assessment using dependency-weighting analysis.

Analysis of six million responses to Belgium's Voting Advice Application reveals voters lack ideological coherence while elites maintain consistent ideological structures.

Study comparing student-created versus faculty-created multiple-choice questions reveals student items have comparable or fewer flaws, supporting learner-sourcing as effective assessment strategy.

Study of Finnish lexical and semantic frameworks for light and temporal concepts in response to extreme seasonal daylight variation in Nordic latitudes.

Design-based research evaluates GenAI literacy training for teacher education students, showing improvements in self-efficacy and critical engagement with AI tools.

Hydrogen-based GC-IMS combined with machine learning enables rapid, sustainable classification of cocoa by geographic origin without sample preparation.

Framework proposing that robots deliberately breaking conventional behavioral rules can create more ethical, effective, and socially intelligent interactions than strict rule adherence.

Explore flow experiences in online EFL learning among Vietnamese undergraduates. Study reveals high engagement levels driven by feedback, challenge-skill balance, and teacher support despite low.

Cross-sectional study of 112 adults finds online social support functions as adjunct to traditional support rather than substitute, supporting rich-get-richer hypothesis.

Structural equation modeling study examining spiritual health's role in promoting environmental behavior across 16 Iranian provinces with 5,548 participants.

Incentive alignment mechanisms for public lending in economic crises, with empirical analysis of KfW COVID-19 program and theoretical contract design proposals.

Systematic review of 189 papers examining Large Language Models for Automated Program Repair from 2020-2025, analyzing LLM architectures, deployment strategies, and applications in bug repair and.

Individual Brain Charting releases high-resolution fMRI data from eleven participants across twelve cognitive domains, including eighteen new tasks with 180 contrasts for detailed cognitive.

Modular assessment framework for automated evaluation of data center thermal and energy efficiency using standardized KPI calculations from monitoring systems and historical datasets.

Methodological framework for document analysis in legal institutions, establishing analytical strategies for authoritative texts with applications to criminal justice research.