Pancreas segmentation using AI developed on the largest CT dataset with multi-institutional validation and implications for early cancer detection by Sovanlal Mukherjee, Ajith Antony, Nandakumar G. Patnam, Kamaxi H. Trivedi, Aashna Karbhari, Madhu Nagaraj, Murlidhar Murlidhar, Ajit H. Goenka

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Novel conditional tabular generative adversarial network based image augmentation for railway track fault detection by Ali Raza, Rukhshanda Sehar, Abdul Moiz, Ala Saleh Alluhaidan, Sahar A. El-Rahman, Diaa Salama AbdElminaam

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Enhancing Access to Mental Health Services for Antepartum and Postpartum Women Through Telemental Health Services at Wellbeing Centers in Selected Health Facilities in Bangladesh:... by Aniqa Tasnim Hossain, Md Hafizur Rahman, Ridwana Maher Manna, Ema Akter, SM Hasibul Islam, Md Alamgir Hossain, Tasnu Ara, Nasimul Ghani Usmani, Pradip Chandra, Maruf Ahmed Khan, SM Mustafizur Rahman, Helal Uddin Ahmed, Muhammad Kamruzzaman Mozumder, Jesmin Mahmuda Juthi, Fatema Shahrin, Sadia Afrose Shams, Fahmida Afroze, Mukta Jahan Banu, Shafiqul Ameen, Sabrina Jabeen, Anisuddin Ahmed, Mohammad Robed Amin, Shams El Arifeen, Mohammad Sohel Shomik, Ahmed Ehsanur Rahman

“…In Bangladesh, nearly 50% of mothers face common mental disorders, but mental health services and trained professionals to serve their needs are scarce. …”
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An Exploration of Physical Literacy and Movement Creativity by Adam Woolley, Dean Kriellaars, Natalie Houser

“…The absence of consideration of psychosocial and creative domains in programming could impact the nature of the relationship between physical literacy and movement creativity. …”
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Modeling Mechanical Properties of Industrial C-Mn Cast Steels Using Artificial Neural Networks by Saurabh Tiwari, Seongjun Heo, Nokeun Park, Nagireddy Gari S. Reddy

“…The neural network model, employing a 20-44-44-4 architecture and trained on 400 samples from an industrial dataset of 500 samples, achieved 90% of test predictions within a 5% deviation from actual values, with mean prediction errors of 3.45% for YS and 4.9% for %EL. …”
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Context-Aware Markov Sensors and Finite Mixture Models for Adaptive Stochastic Dynamics Analysis of Tourist Behavior by Xiaolong Chen, Hongfeng Zhang, Cora Un In Wong, Zhengchun Song

“…Furthermore, the framework leverages edge computing and probabilistic programming for efficient, low-latency implementation. …”
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Machine-learning detection of stress severity expressed on a continuous scale using acoustic, verbal, visual, and physiological data: lessons learned by Marketa Ciharova, Khadicha Amarti, Ward van Breda, Ward van Breda, Martin J. Gevonden, Sina Ghassemi, Annet Kleiboer, Christiaan H. Vinkers, Christiaan H. Vinkers, Christiaan H. Vinkers, Christiaan H. Vinkers, Milou S. C. Sep, Milou S. C. Sep, Milou S. C. Sep, Milou S. C. Sep, Sophia Trofimova, Alexander C. Cooper, Xianhua Peng, Xianhua Peng, Mieke Schulte, Mieke Schulte, Eirini Karyotaki, Eirini Karyotaki, Eirini Karyotaki, Pim Cuijpers, Pim Cuijpers, Pim Cuijpers, Heleen Riper, Heleen Riper

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What are the broader impacts and value from a randomised controlled trial conducted in six public hospital antenatal clinics in Australia? An impact assessment using the Framework... by Peter G Gibson, Kirsten McCaffery, John Attia, Joerg Mattes, Megan E Jensen, Andrew Searles, Paul B Colditz, Shanthi Ann Ramanathan, Vanessa E Murphy, Michael Hensley, Michael Peek, Andrew Bisits, Leonie Kaye Callaway, Helen Barrett, Sean Seeho, Melanie Rao, Elissa Elvidge, Karen McLaughlin, Annelies Robijn, Warwick Giles, Alistair Abbott

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Detecting Vietnam War bomb craters in declassified historical KH-9 satellite imagery by Philipp Barthelme, Eoghan Darbyshire, Dominick V. Spracklen, Gary R. Watmough

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Reliable protein–protein docking with AlphaFold, Rosetta, and replica exchange by Ameya Harmalkar, Sergey Lyskov, Jeffrey J Gray

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Automated Wall Moisture Detection in Heritage Sites Based on Convolutional Neural Network (CNN) for Infrared Imagery by Yu-Chieh Chu, Ya-Yun Huang, Chen-Yu Ye, Shih-Lun Chen

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Caffeine, but not paracetamol (acetaminophen), enhances muscular endurance, strength, and power by Bela Scapec, Jozo Grgic, Dorian Varovic, Pavle Mikulic

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Accurate Prediction of Compression Index of Normally Consolidated Soils Using Artificial Neural Networks by Ali Ulvi Uzer

“…The modeling of artificial neural networks was performed using the Regression Learner program, which integrates with the Matlab 2023a software package and offers a user-friendly graphical interface for AI model development without coding. …”
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CXR-Seg: A Novel Deep Learning Network for Lung Segmentation from Chest X-Ray Images by Sadia Din, Muhammad Shoaib, Erchin Serpedin

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An Unsupervised Learning Approach for Coal Spontaneous Combustion Warning Level Classification Using t-SNE and k-Means Clustering by Pengyu Zhang, Xiaokun Chen

“…The indicator gases and warning levels were input into a trained Support Vector Classifier (SVC) to establish a classification model for coal spontaneous combustion warning levels in goaf areas. …”
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366 Universal representation of human diseases using large language models by Geoffrey Siwo, Ellen R. Bowen, Akbar K. Waljee

“…To do this, we leveraged application programming interfaces (APIs) of three LLMs-GPT3.5, Mistral and Voyage to encode disease relationships. …”
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Comparing the Effectiveness of Deep Learning Approaches for Charging Time Prediction in Electric Vehicles: Kocaeli Example by Ayşe Tuğba Yapıcı, Nurettin Abut, Tarık Erfidan

“…To this end, the study examined the prediction capabilities of the LSTM (Long Short-Term Memory), GRU (Gated Recurrent Unit), Prophet, and ARIMA (Autoregressive Integrated Moving Average) models, which were trained with historical data using various metrics. …”
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Improving HPV vaccine acceptance through peer-to-peer education among adolescent girls in the urban poor settings of Kisenyi, Kampala, Uganda. by Doreen Tuhebwe, Christine Adyedo, Emmanuel Ahumuza, Steven Ssendagire, Rhoda K Wanyenze

“…In 2015, the HPV vaccine was introduced into Uganda's EPI program, targeting young girls in-and out-of-school. …”
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Factors associated with the timely initiation of antenatal care: findings from a cross-sectional study in Northern Bangladesh by Bidhan Krishna Sarker, Musfikur Rahman, Tanjina Rahman, Tawhidur Rahman

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Effect of aerobic exercise on amyloid accumulation in preclinical Alzheimer's: A 1-year randomized controlled trial. by Eric D Vidoni, Jill K Morris, Amber Watts, Mark Perry, Jon Clutton, Angela Van Sciver, Ashwini S Kamat, Jonathan Mahnken, Suzanne L Hunt, Ryan Townley, Robyn Honea, Ashley R Shaw, David K Johnson, James Vacek, Jeffrey M Burns

“…We assessed the effect of 52 weeks of a supervised aerobic exercise program on amyloid accumulation, cognitive performance, and brain volume in cognitively normal older adults with elevated and sub-threshold levels of cerebral amyloid as measured by amyloid PET imaging.…”
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