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2,916 papers
The quantitative results show the effectiveness of zero-shot semantic LLM orchestration compared to other LLM controllers with heuristic rules and paves the way for traffic management to move beyond black-box numerical paradigms and into explainable decision-making.
This study aims to improve student learning outcomes in identifying the main idea of a paragraph using flashcards in the fourth-grade class at SDN Manjalling, Gowa Regency. The study employs a quantitative approach using a pre-experimental method and a one-group pretest-posttest design. The research subjects consiste...
Attention-Deficit/Hyperactivity Disorder (ADHD) is the most common neurodevelopmental and psychological disorder in children. Reducing aggression and enhancing self-esteem are key approaches to helping these children adapt to their challenges. One potentially effective therapeutic intervention in this context is Eye Mo...
T2DM-related diffusion abnormalities persisted after free-water correction, whereas no skeleton-wide between-group difference in the estimated FW was detected, and integrating FWE with complementary spatial analyses of WM and cortical GM may help characterize diffusion-derived brain phenotypes and their clinical correl...
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Background/Objectives: Investigation of whether visual and AI-based assessments of the severity of COVID-19 pneumonia using an established semi-quantitative chest CT scoring system (Pan score) correlate with laboratory parameters as well as pulmonary function, and of the score’s diagnostic value in predicting the patie...
Abstract Gamification is increasingly recognised as a vital strategy for enhancing students’ learning outcomes. In science education, particularly in physics students often experience learning as abstract, difficult, and disengaging, which negatively affect their achievement. This study evaluated how four collaborative...
Введение. Актуальность изучения топографо-анатомических особенностей ветвей верхнего гортанного нерва у взрослого человека обусловлена риском их травматизации во время оперативных вмешательств. Цель. Установление топографо-анатомических особенностей внутренней и наруж-ной ветвей верхнего гортанного нерва относительно п...
This study aims to analyze the psychometric characteristics of a physics problem-solving ability test instrument on sound wave material using the Rasch model. A descriptive quantitative method was employed, and data were analyzed using Minifacet software. The instrument consisted of eight essay items developed based on...
Several deep neural networks are compared, namely One-dimensional convolution neural network/1D CNN, Long Short-Term Memory/LSTM and Autoencoder, to reveal the ability of deep neural networks to correctly model the behavior of network traffic and ultimately increase the recognition of compromised data.
Background: The healthcare system of Hong Kong is facing a growing burden arising from chronic diseases and patient demands because of the rapid ageing and healthcare workforce shortage. Primary care is widely recognised as the most cost-effective way in improving health of the people. This study aimed to understand ho...
Laos is a destination with beautiful culture, traditions and nature that attracts many tourists, especially Thai tourists, so there is a strong tourism link between the two countries. The Thailand-Laos railway, the Krung Thep Aphiwat Central Terminal - Vientiane (Khamsavath) route, which is an important new railway tou...
The opioid epidemic continues to be a major public health crisis in the United States, and nalmefene has recently emerged as an alternative opioid overdose reversal agent. However, little is known about pharmacists’ awareness and beliefs regarding nalmefene use and distribution. Therefore, the purpose of this study was...
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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