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2,998 papers
WoundPy, a Python-based executable software featuring a user-friendly interface for semi-automatic, researcher-supervised Region of Interest detection, streamlines image analysis and management of replicates, providing rapid graphical outputs.
It has been demonstrated that the engineering and technical competence of future specialists is developed most effectively when graphic training is not treated as an isolated academic module, but rather as a comprehensive tool for professional development directly linked to process automation, robotic systems, digital...
Global trials are geographically and developmentally unbalanced, with incomplete public availability of trial results, and future research should strengthen international collaboration, optimize trial phase distribution, support novel agent development, and promote timely and complete public disclosure of trial results...
Tele-audiology's potential to enhance access to CI care for underserved regions is highlighted, with case studies demonstrated evidence of a high level of agreement as well as a case of high variability between remotely assessed speech recognition scores and those obtained in-person.
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This commentary supports Pfadt et al.'s (2026, Psychometrika, 2026, 1-35. https://doi.org/10.1017/psy.2026.10081) recommendation that individual score interpretation should rely on conditional standard errors of measurement rather than a single unconditional standard error. I argue, however, that this recommendation re...
The performance of the Horiba Microsemi analyzer operated by clinical staff in the emergency department of V. Buzzi Children’s Hospital compared with laboratory testing was evaluated, and strong correlation between POCT (capillary and venous) and laboratory measurements was observed.
This study examines how internal learning motivation interacts with students' evaluative perception of Project-Based Learning (PjBL) syntax to influence academic achievement in a hardware-software integrated Internet of Things (IoT) course. A quantitative causal-associative survey design was executed among 48 Electroni...
A modular, expandable, simulation-based benchmarking framework as a reproducible Snakemake workflow, named Laemple, to evaluate the performance of virus lineage deconvolution tools, revealing substantial variation in tool performance across conditions.
Airborne dust plumes are difficult to localize in underground mine-face video because the scene is dark, illumination moves with machinery, and dust is confused with lamp bloom, reflective steel, and water-spray aerosol. We present DustVeil, a label-free two-stage system for image-space plume localization. Its software...
This study examined the application of sustainable technology for effective risk management development, using AXA Mansard Insurance Plc as a case study. The study adopted a descriptive survey research design. The target population comprised 134 professional staff of AXA Mansard Insurance Plc across its operational hub...
In Nepal, hybrid maize is increasingly popular in the Terai region due to rising demand for maize grains, higher yield potential, and superior agronomic performance. The purpose of this study was to assess the agronomic performance, yield stability, and adaptability of maize hybrids. A total of 23 single cross maize hy...
The research results revealed a statistically significant difference between the groups in terms of students' final test achievement scores, however, when examining the attitude scale final test scores of the experimental and control groups, no statistically significant difference was found.
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.
An ongoing survey tracks the latest AI accelerator systems to keep hardware relevant for Lincoln Laboratory staff and sponsors.
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.
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.
GPT-Lab
· gpt-lab.eu
Sep 23, 2026
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…
GPT-Lab
· gpt-lab.eu
Sep 17, 2026
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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