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Music Teacher Candidate Assessment showed strong validity and reliability
Discover the Music Teacher Candidate Assessment (MTCA), a validated rubric-based evaluation instrument for assessing student teachers in music education with strong psychometric properties.
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AI meets Mathematics Education: Supporting Instructors in Large Mathematics Classes with Context-Aware AI
Fine-tuned language model provides automated question answering in large calculus courses, achieving 75% accuracy. Hybrid human-AI workflows maintain instructor oversight while scaling support.
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FuXi-Air forecasts six pollutants with multimodal data
FuXi-Air combines meteorological, emission, and observational data for high-precision air quality forecasting at scale, generating 72-hour predictions across multiple sites in seconds.
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TEACHER'S OCCUPATIONAL STRESS- HINDI ADAPTATION
Psychometric validation of bilingual English-Hindi Teacher's Occupational Stress scale with 600 educators. Strong reliability (α=0.91) and factorial validity established across three dimensions.
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Sustainable occupational health and safety scale developed for food service systems
Researchers developed and validated a 37-item scale to assess occupational health and safety sustainability in food service institutions, demonstrating strong reliability.
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RFS mode improved chromatography efficiency and lowered pressure
Novel radial flow stream splitting HPLC columns reduce analysis time by 40 percent while maintaining quantitative accuracy for pharmaceutical drug testing.
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Telemetry-guided multi-cloud storage resists reconstruction
AI-driven hybrid architecture for multi-cloud storage using telemetry-guided dynamic fragmentation, encryption, and distributed trust to resist data reconstruction attacks and provider breaches.
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Bayesian network modelling for predicting employment tendency and major matching of vocational education students
Study applies Bayesian network modelling to predict employment outcomes and match vocational students with suitable majors, achieving 75% predictive accuracy and reducing skill-job mismatches.
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Tailored EBPAS-15 showed adequate psychometric properties in Latinx professionals
Confirmatory factor analysis validates the EBPAS-15's psychometric properties for Latinx mental health professionals, addressing measurement gaps in Latin American implementation science research.
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Hybrid model ranks order pickers and allocates bonuses
Study develops hybrid DEA-SWARA-COPRAS model for evaluating order picker efficiency and allocating performance bonuses in e-commerce fulfillment operations.
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Benchmark finds limits in ancient DNA relatedness estimation
Benchmark evaluation of ancient DNA genetic relatedness estimation methods reveals multiple sources of bias and limitations in current approaches.
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CMIP6 models project stronger precipitation extremes in the Kosi Basin
CMIP6 climate models project intensified precipitation extremes in the Kosi Basin, with 47-79% increases in rainfall by 2100, critical for flood risk management and water resource planning.
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Methodology for assessing tantalum capacitor reliability in AIMDs
Reliability assessment methodology for SMD tantalum capacitors in active implantable medical devices combining accelerated life testing with design of experiments and failure analysis.
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Italian ratings support a magic-trick emotion dataset
Normative ratings of the Magic Curiosity Arousing Tricks dataset in Italian adults aged 18–86, measuring epistemic emotions including curiosity, interest, and surprise via video-based stimuli.
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Discrimination measure validated for family planning settings
Psychometric validation of a nine-item discrimination measure in family planning settings reveals two factors and strong reliability across diverse populations, confirming disparities in.
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hsa-miR-96-5p validated as a reference for vitreous humor PMI estimation
Validation of hsa-miR-96-5p as a stable endogenous reference gene for qPCR-based post-mortem interval estimation in vitreous humor forensic analysis.
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Hydrological ML accuracy depends on training data quantity and quality
Analysis of how information quantity and quality in training data affect machine learning prediction accuracy for hydrological variables, using information theory and mechanistic model integration.
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Russian cognitive distortions form a hierarchical co-occurrence network
Study validates cognitive distortion architecture in Russian discourse using AI analysis of 249,414 social media texts, identifying 443,447 distortion instances across 18 categories with stable.
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Adapted ENACT tool showed good reliability in low-resource settings
Adaptation and pilot testing of the ENACT tool for assessing psychosocial intervention competencies in non-specialist primary care providers in low-resource settings.
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Android app matched manual facial index measurements
Validation study of an Android application for measuring facial index in orthodontic diagnosis, comparing digital photographic measurement to traditional manual anthropometry.