Objective The rising prevalence of type 2 diabetes (T2D) has created a huge global public health burden. Although triglyceride glucose-body mass index (TyG-BMI) has been associated with incident T2D risk in observational studies, the overall evidence remains to be systematically evaluated. Methods This study systematic...
Bo Dai, Hang Yu, Haotian Qi et al.· Frontiers in Nutrition· 0 citations
Background/Objectives: Chagas disease is endemic to 21 Latin American countries and is a great public health problem. Current chemotherapy remains unsatisfactory; consequently, the need to search for new drugs persists. The aim of this work is to develop a machine learning computational model, which allows the identifi...
Juan A. Castillo‐Garit, Josué Pozo-Martínez, Esteban Rocha-Valderrama et al.· Pharmaceuticals· 0 citations
The administration of Security Clearance applications and restricted access ID Card issuance in airport environments currently faces significant operational obstacles due to conventional procedures relying on manual paper forms and physical archives. These real-world challenges include high risks of applicant data inac...
Muh. Batni Mukharroro, Mujib Ridwan· Jurnal Teknologi Dan Sistem...· 0 citations
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.
Gaurav Soni, Ganesh Khekare, Yash Kumar et al.· Frontiers in Artificial Inte...· 0 citations
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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...
Andi Syamsul Alam, Muhammad Dahlan, Hanana Muliana et al.· Jurnal Pendidikan Bahasa dan...· 0 citations
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...
Nasrin Alizadeh, Mohammad Behnammoghadam, Zohre Karimi et al.· BMC Psychiatry· 0 citations
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...
Dan-Dan Lin, Jian-Ping Zheng, Tai-Peng Zeng et al.· Frontiers in Medicine· 0 citations
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...
Anna J. Höink, Simon T. Scherfeld, Anna Movlilishvili et al.· Diagnostics· 0 citations
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...
А. Е. Сивакова, Н. А. Трушель, Ю. М. Гаин et al.· Хирургия. Восточная Европа· 0 citations
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...
R. A. Aqquilla, Hera Novia, Nurdini· Lontar Physics Today· 0 citations
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.
Angela Borisova, Krasimir Slavyanov· Proceedings of the Internati...· 0 citations
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.
