Graph Neural Network for In-Network Placement of Real-Time Metaverse Tasks in Next-Generation Networks by Sulaiman Muhammad Rashid, Ibrahim Aliyu, Il-Kwon Jeong, Tai-Won Um, Jinsul Kim

“…To address this, the optimal ILP solutions train a GNN offline, enabling fast, efficient placement decisions at runtime. …”
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Effect of Digital Tools on the Knowledge and Performance of Frontline Health Workers For Diabetes Control in Myanmar: Cost-Effective Analysis and Quasi Experimental Study by Kyi Thar, Sathirakorn Pongpanich, Min Nwe Tun

“…For the first time, researchers trained the intervention group to use digital tools for diabetes control and performed monthly follow-ups. …”
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LONGITUDINAL STUDIES OF MUSICALLY GIFTED SCHOOLGIRLS by Svetlana N. Loseva

“…Regular long singing trainings promote formation of cogitative operations: active development of divergent, rational and logical thinking and intelligence in general, and also acquisition of skills of a self-assessment. …”
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Barriers to mental health treatment in primary care practice in low- and middle-income countries in a post-covid era: A systematic review by Sahar Rameez, Almas Nasir

“…The systematic review adhered to the Preferred Reporting Items for Systematic Reviews and Meta-Analyses (PRISMA) guidelines, and the search strategy included keyword search terms (MeSH) to perform a search across three electronic databases - Critical Appraisal Skills Program assessed PubMed, SpringerLink, and Cochrane and quality of the articles. …”
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Artificial Neural Network-based Model for Predicting Cardiologists’ Over-apron Dose in CATHLABs by Reza Fardid, Fatemeh Farah, Hossein Parsaei, Hadi Rezaei, Mohammad Vahid Jorat

“…We then used these data to train a multilayer perceptron neural network with four input features: DAP, energy spectrum, tube angulation, and the resulting cardiologist’s dose. …”
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Retrieval of crop traits using PROSAIL-based hybrid radiative transfer model and EnMAP hyperspectral data by Prachi Singh, Prashant K. Srivastava, Prakash Kumar Jha, Jochem Verrelst, Pashupati Nath Singh, Rajendra Prasad

“…Implementing high spectral resolution imaging from the Environmental Mapping and Analysis Program (EnMAP) paved the way for detailed retrieval of agricultural traits for accurate crop monitoring and management. …”
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Genetic and environmental contributions to epigenetic aging across adolescence and young adulthood by Dmitry V. Kuznetsov, Yixuan Liu, Alicia M. Schowe, Darina Czamara, Jana Instinske, Charlotte K. L. Pahnke, Markus M. Nöthen, Frank M. Spinath, Elisabeth B. Binder, Martin Diewald, Andreas J. Forstner, Christian Kandler, Bastian Mönkediek

“…Their scores reflect a combination of inherent biological programming and the impact of environmental factors, which are suggested to vary at different life stages. …”
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Bayesian Optimization of insect trap distribution for pest monitoring efficiency in agroecosystems by Eric Yanchenko, Thomas M. Chappell, Anders S. Huseth

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An Ensemble-Based Classifier to Determine the Harmonic Contribution Responsibility Between Utility’s Grid and Microgrids by Matheus C. Mella, Ricardo A. S. Fernandes, Daniel Barbosa

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Ta’tsῑru fahmi al nusūs al maqrū’ah bithorῑqoti al tahdhῑru fῑ tarqiyyati mahāroh al qirō’ah ladā al thullābu al jālisῑna fῑ al soffi al tsālitsi al ‘āli bima’had dāru al lughah wa... by Muhamad Solehudin, Zaki Abouelnasr

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THE RESEARCH OF THE RAILWAY RAIL FOR ANALYSIS OF SURFACE INITIATED ROLLING CONTACT FATIGUE CRACKS by Pavlo Protsenko, Yurii Borodii, Andrii Petryshyn, Janis Thalau, Pavlo Lypovka, Eckart Uhlmann, Volodymyr Horbyk, Viktor Hlukhovskyi

“…Under the influence of dynamic loading from trains and natural conditions, the railway track deteriorates, characterized by the appearance of defects and residual deformations of the railway track, which lead to accelerated wear and malfunction of other elements of the rail. …”
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A deep learning approach: Physics-informed neural networks for solving the 2D nonlinear Sine–Gordon equation by Alemayehu Tamirie Deresse, Tamirat Temesgen Dufera

“…To establish the effectiveness, soundness, and practical implications of the suggested technique, we provide three computational illustrations from the nonlinear two-dimensional sine–Gordon equations. We trained the PINNs model and run various tests using Python software as a computational tool. …”
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Do Chatbots Exhibit Personality Traits? A Comparison of ChatGPT and Gemini Through Self-Assessment by W. Wiktor Jedrzejczak, Joanna Kobosko

“…The underlying design of large language models (LLMs), trained on vast amounts of human texts, implies that chatbots based on them will almost inevitably retain some human personality traits. …”
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Large Language Models for Pediatric Differential Diagnoses in Rural Health Care: Multicenter Retrospective Cohort Study Comparing GPT-3 With Pediatrician Performance by Masab Mansoor, Andrew F Ibrahim, David Grindem, Asad Baig

“…The GPT-3 model (DaVinci version) was fine-tuned using the OpenAI application programming interface and trained on 350 encounters, with 150 reserved for testing. …”
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Family Profile of Substance Addicted Individuals by Fatmanur Alsancak, Hülya Yıldız, Hüseyin Zahid Kara, Hasan Hüseyin Taylan, Yusuf Genç

“…It is noteworthy that family members trained on substance addiction are highly aware of addiction and have a hortative attitude towards the addicted individual.…”
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Digital Twin Based on CFD Modelling for Analysis of Two-Phase Flows During Pipeline Filling–Emptying Procedures by Duban A. Paternina-Verona, Oscar E. Coronado-Hernández, Vicente S. Fuertes-Miquel, Manuel Saba, Helena M. Ramos

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Development and Evaluation of a Machine Learning Model for Predicting 30-Day Readmission in General Internal Medicine by Abdullah M. Al Alawi, Mariya Al Abdali, Al Zahraa Ahmed Al Mezeini, Thuraiya Al Rawahia, Eid Al Amri, Maisam Al Salmani, Zubaida Al-Falahi, Adhari Al Zaabi, Amira Al Aamri, Hatem Al Farhan, Juhaina Salim Al Maqbali

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Beyond proximity: an observational study of stillbirth rates and emergency obstetric and newborn care accessibility in The Gambia by Aduragbemi Banke-Thomas, Joy E Lawn, Oghenebrume Wariri, Beate Kampmann, Winfred Dotse-Gborgbortsi, Uduak Okomo, Hawanatu Jah, Mustapha Bittaye, Mamady Cham, Schadrac C Agbla, Ba Foday Jawara, Momodou T Nyassi, Musa Marena, Sainey Sanneh, Mariama Janneh

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Power of mentorship for civilian and military acute care surgeons: identifying and leveraging opportunities for longitudinal professional development by Brandon Bruns, Jonathan P Meizoso, Lisa Marie Knowlton, Ryan Peter Dumas, Deborah M. Stein, Matthew J Martin, Haytham M A Kaafarani, Nicholas Namias, Kristan L Staudenmayer, William Jason Butler, Brittany K Bankhead, Jan-Michael Van Gent, Matthew D Tadlock, R Shayn Martin, Jennifer M Gurney

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The Severe Acute Respiratory Syndrome Coronavirus-2 (SARS-CoV-2) Pandemic: Are Africa’s Prevalence and Mortality Rates Relatively Low? by Solomon H. Mariam

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