data science

A VR-Based Multimodal System for Assessing Presentation Integrity and Character Formation in Higher Education

Background. Artificial intelligence (AI) integration in online presentation assessment has expanded rapidly; however, existing facial emotion recognition systems in education remain largely focused on surveillance and behavioral monitoring, with limited validation against human judgment and insufficient attention to et...

The Role of Artificial Intelligence in Qur'anic Education and Interpretation: A Phenomenological Study of Its Requirements among Scholars in Fars Province, Iran

Purpose - This study examines the requirements for employing artificial intelligence (AI) in Qur'anic education and interpretation, focusing on how Qur'anic scholars and instructors in Fars Province, Iran, perceive the conditions necessary for its effective, ethical, and pedagogically appropriate use. Design/methodolog...

PREFIRE twice monthly ANC-SAT data files from Aug 2024 through July 2025

The PREFIRE Science Team maintains an archive of collocated (spatial and temporal) data products from several operational satellite platforms (e.g., AIRS on Aqua, and CrIMSS and VIIRS on NOAA-20) that are matched to every PREFIRE-TIRS1 and PREFIRE-TIRS2 scene. AIRS and CrIMSS are nearest neighbor matches between ground...

Augmented Reality Media Based on Moral Ethics to Increase High School Students Learning Motivation

Background. The transformation of global digital technology is in line with the increasing cases of juvenile delinquency in East Java, while education still focuses on cognitive aspects and pays less attention to students’ moral aspects. Purpose. This research aims to develop Augmented Reality (AR)-based learning media...

THE OPEN NEURAL OBSERVATORY III NEURAL QUESTION ECOLOGIES, UNKNOWN CARTOGRAPHY & SUCCESSOR DISCOVERY AT THE LIMIT Pre-Questions, Research Phylogenies, Method Seed Banks, Human-AI Inquiry, Rights-Preserving Discovery, Open Neural Futures, and Scientific Handoff

THE OPEN NEURAL OBSERVATORY III:NEURAL QUESTION ECOLOGIES, UNKNOWN CARTOGRAPHY & SUCCESSOR DISCOVERY AT THE LIMIT Pre-Questions, Research Phylogenies, Method Seed Banks, Human-AI Inquiry,Rights-Preserving Discovery, Open Neural Futures, and Scientific Handoff Feng Cheng-en (33) x Starli When can a longitudinal neural o...

The Molecular Origin of Perylene Fluorescence in Gas, Solution and Crystal Phases: A Comparative Theoretical Study

Perylene is a widespread molecular motif in materials science thanks to its phase-dependent optical response and its good excitation transport properties, making it ideal for many optoelectronic applications. However, the molecular-level understanding of how changing the aggregation phase determines the optical modul...

Adapting on-the-go in NYC: Ongoing implementation strategy and cultural adaptations of Problem Management Plus (PM+), a non-clinician delivered mental health intervention

Adaptive Decomposition for Fractional Volterra Integral Equations in Diverse Systems

We develop a comprehensive, mathematically rigorous framework for fractional-order Volterra integral equations (F-VIEs), a class of equations in which the kernel encodes power-law or Mittag--Leffler memory rather than the classical exponential decay. Such equations arise naturally when a system's memory decays algebrai...

PREFIRE twice monthly ANC-SAT data files from Aug 2024 through July 2025

The PREFIRE Science Team maintains an archive of collocated (spatial and temporal) data products from several operational satellite platforms (e.g., AIRS on Aqua, and CrIMSS and VIIRS on NOAA-20) that are matched to every PREFIRE-TIRS1 and PREFIRE-TIRS2 scene. AIRS and CrIMSS are nearest neighbor matches between ground...

Adaptive Decomposition for Fractional Volterra Integral Equations in Diverse Systems

We develop a comprehensive, mathematically rigorous framework for fractional-order Volterra integral equations (F-VIEs), a class of equations in which the kernel encodes power-law or Mittag--Leffler memory rather than the classical exponential decay. Such equations arise naturally when a system's memory decays algebrai...

Integrasi Deep Learning dalam Skrining CT Dosis Rendah untuk Penilaian Multiorgan dan Deteksi Dini Kanker Paru: Telaah Literatur

Low-dose Computed Tomography (CT) screening lowers lung cancer mortality, but a focus on nodules can overlook multiorgan comorbidities. This literature review evaluates the integration of deep learning for early detection of lung cancer and risk assessment. The current literature is searched through PubMed, Scopus, and...

The AGNT ECO Network: State of the System, September 2026

This is the third state report on AGNT ECO, a network of nine place-based ecological agents bound to real European waters and biomes. The July report established the verification architecture and the August report recorded four developments. This report has a different subject: integration. On 1 October 2026 the networ...