OpenMQPI is proposed, an MLIR-based OpenMP extension for quantum programming that leverages OpenMP's standardized target offloading infrastructure to integrate quantum resources into HPC applications and achieves the lowest average VQE execution time across all tested qubit configurations.
Ercüment Kaya, Ekin Devim Şahinkaya, Minh Chung et al.· 0 citations
Deep brain stimulation (DBS) is a well-established therapy for various neurological disorders. Clinical outcomes of DBS depend on electrode placement and stimulation programming, with growing evidence suggesting that targeting specific sites and networks can improve therapeutic efficacy. This targeting can be facilitat...
J. Zimmermann, J. P. Payonk, L.-V. Che et al.· medRxiv· 0 citations
Italian Web Accessibility Study (IWAS): Automated WCAG Barrier Measurement Dataset for 10,022 Italian Domains This dataset accompanies the Italian Web Accessibility Study (IWAS), a large-scale, reproducible observational study of automatically detectable accessibility barriers across the Italian web. The study examines...
Giovanni Manetti· Zenodo (CERN European Organi...· 0 citations
The study aims to investigates the effect of strategic agility on entrepreneurial capability of small and medium enterprises (SMEs) in Akwa Ibom State, Nigeria. Conceptually, the study evaluates the extent to which strategic sensitivity, core capability, and strategic leadership influence SMEs entrepreneurial capabilit...
Isaiah Peter Ben· JOURNAL OF BUSINESS AND AFRI...· 0 citations
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Introduction Numerous studies have used the Assessing Levels of Physical Activity and Fitness (ALPHA) battery to evaluate physical fitness (PF) and its positive impact on the health of school-age children, assessing various components of fitness. Despite its widespread use, no bibliometric review has systematically exa...
Juan David Paucar-Uribe, Boryi Alexander Becerra-Patiño, Anelise Reis Gaya et al.· Frontiers in Public Health· 0 citations
Introduction: Interoperability among space data archives remains a key challenge in the current context of long term digital preservation and effective information exchange. The complexity is intensified when disparate archive systems - belonging to space agencies or partners - adopt different internal data models and...
Roberta Svanetti, Mirko Albani, Iolanda Maggio et al.· Zenodo (CERN European Organi...· 0 citations
Preregistered benchmark leg, not a certification. DeepSeek v4-pro (via OpenRouter, model_returned verified per call) resolved the first 20 instances of the frozen CORPUS_B1.json synthetic anomaly corpus (sha256 13295d19...), the identical selection rule as every prior B1 baseline leg, one stateless request per instance...
Long, Leon Calvin, II· Zenodo (CERN European Organi...· 0 citations
Bulk power systems span large geographic areas and are hence contained in large software files for simulation for industrial and research purposes. These files contain generator, transmission and load data along with many other assets that facilitate the reliable operation of power systems. The generator data in these...
Soumyadeep Nag, S M Shafiul Alam, Slaven Kincic· OSTI OAI (U.S. Department of...· 0 citations
# Ventilatory durability during prolonged running — data and analysis code Breath-by-breath breathing pattern (breathing frequency, tidal volume, minute ventilation, inspiratory and expiratory time, duty cycle) and locomotor–respiratory coupling in 23 trained runners across three hours of treadmill running with repeate...
Eric T. Harbour, Diego Jaén‐Carrillo· Zenodo (CERN European Organi...· 0 citations
Traffic signal control algorithms were developed for self-organizing control using secondary extensions that can be implemented using logic features available in modern commercial traffic signal controllers. Self-organizing control is an alternative to coordinated control, using secondary extension logic to provide dyn...
Milad Tahmasebi, Burak Cesme, Nemanja Dobrota et al.· Transportation Research Reco...· 0 citations
QUANTUM-CLASSICAL METROLOGY DIVERSITY & REFERENCE SOVEREIGNTY AT THE LIMITA Research Architecture for Fault-Independent Sensing, Traceability Reconstruction, and Post-Vendor Calibration STARLI Research Works | White Rainbow Civilization | Research Architecture Edition v1.0 (2026) DESCRIPTION Can a mixed quantum-classic...
Purpose: This study aims to analyse the relationship between Inquiry-Based Learning (IBL), Learning Engagement (LE) and Scientific Literacy (SL) amongst primary school pupils, with a focus on the mediating role of learning engagement in the relationship between inquiry-based learning and scientific literacy. Method: Th...
Anasufi Banawi, Muhammad Irfan Rumasoreng, Nuryadi et al.· Al-Jabar Jurnal Pendidikan M...· 0 citations
StudentSim is a research system for evaluating and improving AI tutoring tools before they are tested with learners. It models how individuals may engage with tutors, giving feedback to improve tutor performance across subjects like chess, writing, and mathematics. The post Simulating student learning for better AI tutoring appeared first on Microsoft Research.
MIT News · Artificial Intelligence· news.mit.eduOct 6, 2026
Writing as a participant and researcher, PhD student JS Tan SM ’22 has co-authored a new book about the rise of tech worker protests and the employer backlash that followed.
MIT News · Artificial Intelligence· news.mit.eduOct 2, 2026
Writing as a participant and researcher, PhD student JS Tan SM ’22 has co-authored a new book about the rise of tech worker protests and the employer backlash that followed.
Requirements in large systems rarely exist in isolation. Their meaning depends on the wider project context - other requirements, policies, decisions, tests, and implementation details. That becomes especially important when AI is used for review, because spotting a possible conflict or gap is only the beginning. ReqSpace explores how AI, visualisation, and connected project context can help reviewers understand those findings, trace the relationships behind them, and focus on the questions that…
AI is making software generation faster, but speed does not remove the need for expertise. As more work is delegated to AI, tacit knowledge may become one of the most important human advantages in software engineering. The post Beyond Prompt Engineering: The Role of Tacit Knowledge in Software Engineering appeared first on GPT-Lab.
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