US public health surveillance, reimagined by Elina Guralnik

“…Methods Drawing from the collective experience in applied epidemiology, health services research and health informatics, the author presents a vision for an alternative path to public health surveillance by repurposing existing tools and resources, such as (1) computable phenotypes which have already been created and validated for a variety of chronic diseases of interest to public health and (2) large data platforms/collaboratives, such as All of Us Research Program and National COVID Cohort Collaborative. …”
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Advancing pancreatic cancer management: the role of artificial intelligence in diagnosis and therapy by Dilber Uzun Ozsahin, Natacha Usanase, Ilker Ozsahin

“…Moreover, AI is applied in handling cancer cases in oncology departments, pancreatic cancer in particular, and creating computer-assisted diagnostic systems. Conclusion The end-to-end application of AI in pancreatic cancer management calls for multidisciplinary collaboration among doctors, laboratory scientists, data analysts, and engineers. …”
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An Artificial Plant Community Algorithm for Collision-Free Multi-Robot Aggregation by Zhengying Cai, Qingqing Yu, Zhuimeng Lu, Zeya Liu, Guoqiang Gong

“…Multi-robot aggregation is an important application for emergent robotic tasks, in which multiple robots are aggregated to work collaboratively. In this context, the collision-free problem poses a significant challenge, which is complicated to resolve, as aggregated robots are prone to collision. …”
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Patent Analysis of Dental CBCT Machines by Andy Wai Kan Yeung, Andrew Nalley, Kuo Feng Hung, Anne Caroline Oenning, Ray Tanaka

“…Introduction and aims: Cone Beam Computed Tomography (CBCT) has become a crucial imaging tool in modern dentistry. …”
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Improved sap flow prediction: A comparative deep learning study based on LSTM, BiLSTM, LRCN, and GRU with stem diameter data by Amora Amir, Marya Butt

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Forecasting high-impact research topics via machine learning on evolving knowledge graphs by Xuemei Gu, Mario Krenn

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AN ACTIVITY THEORY PERSPECTIVE ON STUDENT-REPORTED CONTRADICTIONS IN INTERNATIONAL TELECOLLABORATION by Olga K. Basharina

“…This process-oriented study focuses on contradictions that emerged in a WebCT bulletin board collaboration among English learners from Japan, Mexico and Russia, and explains them from the perspective of activity theory (Leont’ev, 1978, 1981; Engeström, 1987, 1999). …”
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Editorial: Representing the Ancient World through Data by Andrea Farina, Paola Marongiu, Mar A. Rodda

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A spatial and temporal transformer-based EEG emotion recognition in VR environment by Ming Li, Peng Yu, Yang Shen

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Sense of Agency in Closed-Loop Muscle Stimulation by Lukas Gehrke, Leonie Terfurth, Klaus Gramann

“…Participants described moments of synchronized stimulation as collaborative, while misalignments reduced perceived control. …”
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Recent Advancements in Artificial Intelligence in Battery Recycling by Subin Antony Jose, Connor Andrew Dennis Cook, Joseph Palacios, Hyundeok Seo, Christian Eduardo Torres Ramirez, Jinhong Wu, Pradeep L. Menezes

“…Despite these advancements, data quality, scalability, and regulatory compliance must be addressed to realize AI’s full potential in battery recycling. Collaborative efforts across interdisciplinary domains are essential to develop robust, scalable AI-driven recycling solutions, paving the way for a sustainable, circular economy in battery materials.…”
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ST-CapsNet: Linking Spatial and Temporal Attention With Capsule Network for P300 Detection Improvement by Zehui Wang, Chuangquan Chen, Junhua Li, Feng Wan, Yu Sun, Hongtao Wang

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CompSafeNano project: NanoInformatics approaches for safe-by-design nanomaterials by Dimitrios Zouraris, Angelos Mavrogiorgis, Andreas Tsoumanis, Laura Aliisa Saarimäki, Giusy del Giudice, Antonio Federico, Angela Serra, Dario Greco, Ian Rouse, Julia Subbotina, Vladimir Lobaskin, Karolina Jagiello, Krzesimir Ciura, Beata Judzinska, Alicja Mikolajczyk, Anita Sosnowska, Tomasz Puzyn, Mary Gulumian, Victor Wepener, Diego S.T. Martinez, Romana Petry, Naouale El Yamani, Elise Rundén-Pran, Sivakumar Murugadoss, Sergey Shaposhnikov, Vasileios Minadakis, Periklis Tsiros, Harry Sarimveis, Eleonora Marta Longhin, Tanima SenGupta, Ann-Karin Hardie Olsen, Viera Skakalova, Peter Hutar, Maria Dusinska, Anastasios G. Papadiamantis, L. Cristiana Gheorghe, Katie Reilly, Emilie Brun, Sami Ullah, Sebastien Cambier, Tommaso Serchi, Kaido Tämm, Candida Lorusso, Francesco Dondero, Evangelos Melagrakis, Muhammad Moazam Fraz, Georgia Melagraki, Iseult Lynch, Antreas Afantitis

“…CompSafeNano's integrative approach, multidisciplinary collaboration and extensive stakeholder engagement, position the project as a critical driver of innovation in NMs SbD methodologies and in the development and implementation of computational nanosafety.…”
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exoALMA. IX. Regularized Maximum Likelihood Imaging of Non-Keplerian Features by Brianna Zawadzki, Ian Czekala, Maria Galloway-Sprietsma, Jaehan Bae, Marcelo Barraza-Alfaro, Myriam Benisty, Gianni Cataldi, Pietro Curone, Stefano Facchini, Daniele Fasano, Mario Flock, Misato Fukagawa, Himanshi Garg, Cassandra Hall, Thomas Hilder, Jane Huang, John D. Ilee, Andrea Isella, Andrés F. Izquierdo, Kazuhiro Kanagawa, Geoffroy Lesur, Cristiano Longarini, Ryan A. Loomis, Ryuta Orihara, Christophe Pinte, Daniel J. Price, Giovanni Rosotti, Jochen Stadler, Richard Teague, Hsi-Wei Yen, Gaylor Wafflard-Fernandez, David J. Wilner, Andrew J. Winter, Lisa Wölfer, Tomohiro C. Yoshida

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Neural Posterior Estimation for Cataloging Astronomical Images with Spatially Varying Backgrounds and Point Spread Functions by Aakash Patel, Tianqing Zhang, Camille Avestruz, Jeffrey Regier, The LSST Dark Energy Science Collaboration

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Synergizing Intelligence and Privacy: A Review of Integrating Internet of Things, Large Language Models, and Federated Learning in Advanced Networked Systems by Hongming Yang, Hao Liu, Xin Yuan, Kai Wu, Wei Ni, J. Andrew Zhang, Ren Ping Liu

“…This review explores the merging of these technologies, particularly within edge computing environments. We examine current architectures and practical methods enabling this fusion, such as efficient low-rank adaptation (LoRA) for fine-tuning large models and memory-efficient Split Federated Learning (SFL) for collaborative edge training. …”
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Overview of Radiological Reporting and Data System (RADS) Guidelines Currently Applicable in Surgery by Marco Parillo, Carlo Cosimo Quattrocchi

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How universities teach cybersecurity courses online: a systematic literature review by Ali Ahmed, Ali Ahmed, Craig Watterson, Saadat Alhashmi, Tarek Gaber

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Enhancing the workforce in construction: robotic concrete printing in Detroit by Sara Codarin

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Expositor interativo para a comunicação de amostras geológicas do MM Gerdau – Museu das Minas e do Metal by Roberto Vaz, Rui Raposo, Mário Vairinhos

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