Optimizing the early diagnosis of neurological disorders through the application of machine learning for predictive analytics in medical imaging by Vijaya Bhaskar Sadu, Sathvik Bagam, Mohd Naved, Siva Krishna Reddy Andluru, Kamalakar Ramineni, Meshal Ghalib Alharbi, Sudhakar Sengan, Rahmaan Khadhar Moideen

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Endoscopic ultrasound‐guided gastrojejunostomy versus robotic gastrojejunostomy for unresectable malignant gastric outlet obstruction by Rishi Pawa, Nicholas J Koutlas, Greg Russell, Perry Shen, Swati Pawa

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WebShield 5.0: Harnessing AI and NLP to combat web threats in Industry 5.0 by Priyanka Verma, Donna O’Shea, Thomas Newe, Ankit Vidyarthi, Deepak Gupta, Jabir Ali, Hamad Aldawsari, John G. Breslin

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Moral injury, moral resilience, and organizational effectiveness among nurse leaders: a descriptive analysis during the COVID-19 pandemic by Alanna J. Bergman, Ginger C. Hanson, Christian Jenkins, Katie E. Nelson, Danielle Boyce, Cynda H. Rushton

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Epidemiology and risk factors for cerebral venous sinus thrombosis: insights from leading centres in the i-RegVeD registry, India by Sumit Aggarwal, Arun Kumar, Vishal Deo, i-RegVeD Team, Heena Tabassum

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Fungicides affect the structure and function of soil microorganisms and the physiology of four riparian tree species – evidence from a pot experiment by Jacob Schnurr, Alexander Feckler, Sabine Filker, Jochen P. Zubrod, Johanna Mayer, Klaus Schützenmeister, Hermann F. Jungkunst, Mirco Bundschuh

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APOE Genotype and Statin Response: Evidence From the UK Biobank and All of Us Program by Innocent G. Asiimwe, Andrea L. Jorgensen, Munir Pirmohamed, the Multimorbidity Mechanism and Therapeutic Research Collaborative (MMTRC)

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GLOPS: A Hybrid Approach for Enhanced Scheduling in Cloud Computing Environments via Machine Learning-Based Process Prediction by Syed Abu Ammar Muhammad Zarif, Layla Kader Suma, Md. Sadat Rahman, Md. Motaharul Islam, Phuoc Hung Pham, Phong Dung Thi Nguyen, Nguyen Thanh Binh

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Subgroup analysis of treatment pathways and clinical outcomes in Hodgkin lymphoma in Latin America from the retrospective B-HOLISTIC study by Alvaro Hernandez-Caballero, Ruben Salazar, Marta Zerga, Silvia Rivas-Vera, Zhongwen Huang, Amado Karduss

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MTLNFM: A Multi-Task Framework Using Neural Factorization Machines to Predict Patient Clinical Outcomes by Rui Yin, Jiaxin Li, Qiang Yang, Xiangyu Chen, Xiang Zhang, Mingquan Lin, Jiang Bian, Ashwin Subramaniam

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Fame and Ultrafame: Measuring and comparing daily levels of ‘being talked about’ for United States’ presidents, their rivals, God, countries, and K-pop. by Peter Dodds, Joshua Minot, Michael Arnold, Thayer Alshaabi, Jane Adams, David Dewhurst, Andrew Reagan, Christopher Danforth

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Multiscale feature tuned trans-DeepLabV3+ based semantic segmentation of aerial images using improved red piranha optimization algorithm by P. Anilkumar, K. Lokesh, A. Naveen Kumar, D. John Pradeep, Y. V. Pavan Kumar, Rammohan Mallipeddi

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Early cerebrospinal fluid elevations of pTau-217 in severe traumatic brain injury subjects by Hamad Yadikar, Firas H. Kobeissy, Firas H. Kobeissy, Firas H. Kobeissy, Firas H. Kobeissy, Firas H. Kobeissy, Claudia Robertson, Spyridoula Tsetsou, John B. Williamson, John B. Williamson, Damon G. Lamb, Damon G. Lamb, Amy K. Wagner, Amy K. Wagner, Amy K. Wagner, Amy K. Wagner, Amy K. Wagner, Todd Kibaugh, Shih-Han Kao, Zhifeng Kou, Zhifeng Kou, Robert D. Welch, Jose-Miguel Yamal, Luis Leon-Novelo, Richard Rubenstein, Richard Rubenstein, Kevin K. W. Wang, Kevin K. W. Wang, Kevin K. W. Wang, Kevin K. W. Wang, Kevin K. W. Wang

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Trajectories of Lipid Profile Changes and Cardiovascular Outcomes in Elderly Asian Patients With Atrial Fibrillation by Yu‐Ting Wang, Yu‐Hsuan Joni Shao, Chih‐Chieh Huang, Jo‐Hsin Chen, Gregory Y. H. Lip, Jong‐Shiuan Yeh

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Analysis of dietary amino acid and fatty acid intake profiles of US adults: NHANES 2017–March 2020 Pre-pandemic by Miyu Kenzaka, Haruka Nishiyama, Miyuki Imafuku, Sae Nakao, Sari Natsume, Chika Oue, Hisami Yamanaka-Okumura

“…Recently, the digitalization of data science in nutrition has highlighted the need for comprehensive dietary databases to interpret dietary habits accurately. …”
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Specialized curricula for training vision language models in retinal image analysis by Robbie Holland, Thomas R. P. Taylor, Christopher Holmes, Sophie Riedl, Julia Mai, Maria Patsiamanidi, Dimitra Mitsopoulou, Paul Hager, Philip Müller, Johannes C. Paetzold, Hendrik P. N. Scholl, Hrvoje Bogunović, Ursula Schmidt-Erfurth, Daniel Rueckert, Sobha Sivaprasad, Andrew J. Lotery, Martin J. Menten, On behalf of the PINNACLE consortium

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Safety and Efficacy of Mirogabalin in Lumbar Spinal Stenosis Patients with Peripheral Neuropathic Pain on NSAIDs: Post Hoc Analysis of the MiroTAS Study by Takuya Nikaido, Shunsuke Tabata, Kazuhito Shiosakai, Taichi Nakatani, Hiroshi Sakoda

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Big data analytics for strategic decision-making across the battery value chain: a review of status, trends, and future directions by André Hemmelder, Anne Sehnal, Simon Lux, Jens Leker

“…Systematic mapping of research objects and analytical approaches reveals critical research gaps, offering orientation for emerging scholars and pointing to future research opportunities at the intersection of battery technology, data science, and strategy. The developed conceptual framework lays a foundation for academic inquiry and practical application in this rapidly evolving field.…”
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Enhancing drought monitoring in Southern Alberta: A comparative evaluation of drought indices for regional applicability by Sharad Aryal, Hatef Dastour, Babak Farjad, Gopal Achari, Anil Gupta, Quazi K. Hassan

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Cell based high-throughput screening for small molecule inhibitors of ATE1 by Claudia McCown, Evan A. Ambrose, Devang M. Patel, Hassan Al-Ali, Louis Scampavia, Fangliang Zhang, Timothy P. Spicer

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