STRENGTHENING SYARIAH FINANCIAL MARKETS WITH GARCH-BASED STOCK PRICE FORECASTING AND VAR-RISK ASSESSMENT by Darmanto Darmanto, Isnani Darti, Suci Astutik, Nurjannah Nurjannah, Muhammad Hisyam Lee, Rismania Hartanti Putri Yulianing Damayanti, Diego Irsandy

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Fatigue after stroke: baseline predictors and influence on survival. Analysis of data from UK patients recruited in the International Stroke Trial. by Gillian E Mead, Catriona Graham, Paul Dorman, Slot Karsten Bruins, Steff C Lewis, Martin S Dennis, Peter A G Sandercock, UK Collaborators of IST

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Prospective study using artificial neural networks for identification of high-risk COVID-19 patients by Mateo Frausto-Avila, Roberto de J. León-Montiel, Mario A. Quiroz-Juárez, Alfred B. U’Ren

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SageNet: Fast Neural Network Emulation of the Stiff-amplified Gravitational Waves from Inflation by Fan Zhang, Yifang Luo, Bohua Li, Ruihan Cao, Wenjin Peng, Joel Meyers, Paul R. Shapiro

“…These capabilities make SageNet a powerful tool for accelerating Bayesian inference procedures for extended cosmological models. In a broad sense, the SageNet framework offers a fast, accurate, and generalizable solution to modeling cosmological observables whose theoretical predictions demand costly differential equation solvers.…”
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Revised Point-spread Functions for the Atmospheric Imaging Assembly on board the Solar Dynamics Observatory by Stefan J. Hofmeister, Daniel W. Savin, Michael Hahn

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Detection of Gas Inflow during the Onset of a Starburst in a Low-mass Galaxy at z = 2.45 by Erin Coleman, Keerthi Vasan G.C., Yuguang Chen, Tucker Jones, Sunny Rhoades, Richard Ellis, Dan Stark, Nicha Leethochawalit, Ryan Sanders, Kris Mortensen, Karl Glazebrook, Glenn G. Kacprzak

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Thermally Induced Electromagnetic Fluctuations by Protons and Alpha Particles in the Solar Wind by Rafael O. Medina, Benjamin Toledo, Roberto E. Navarro, Juan A. Valdivia

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Hyperspectral Identification of Milk Adulteration Using Advance Deep Learning by Muhammad Aqeel, Ahmed Sohaib, Muhammad Iqbal, Syed Sajid Ullah

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Enhancing Situational Awareness of Helicopter Pilots in Unmanned Aerial Vehicle-Congested Environments Using an Airborne Visual Artificial Intelligence Approach by John Mugabe, Mariusz Wisniewski, Adolfo Perrusquía, Weisi Guo

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AI-driven automated discovery tools reveal diverse behavioral competencies of biological networks by Mayalen Etcheverry, Clément Moulin-Frier, Pierre-Yves Oudeyer, Michael Levin

“…Many applications in biomedicine and synthetic bioengineering rely on understanding, mapping, predicting, and controlling the complex behavior of chemical and genetic networks. …”
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Application of the New Mapping Method to Complex Three Coupled Maccari’s System Possessing M-Fractional Derivative by Jan Martinovic, Aziz Ur Rehman, Muhammad Bilal Riaz

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Broad-line AGNs at 3.5 < z < 6: The Black Hole Mass Function and a Connection with Little Red Dots by Anthony J. Taylor, Steven L. Finkelstein, Dale D. Kocevski, Junehyoung Jeon, Volker Bromm, Ricardo O. Amorín, Pablo Arrabal Haro, Bren E. Backhaus, Micaela B. Bagley, Eduardo Banados, Rachana Bhatawdekar, Madisyn Brooks, Antonello Calabrò, Óscar A. Chávez Ortiz, Yingjie Cheng, Nikko J. Cleri, Justin W. Cole, Kelcey Davis, Mark Dickinson, Callum Donnan, James S. Dunlop, Richard S. Ellis, Vital Fernández, Adriano Fontana, Seiji Fujimoto, Mauro Giavalisco, Andrea Grazian, Jingsong Guo, Nimish P. Hathi, Benne W. Holwerda, Michaela Hirschmann, Kohei Inayoshi, Jeyhan S. Kartaltepe, Yana Khusanova, Anton M. Koekemoer, Vasily Kokorev, Rebecca L. Larson, Gene C. K. Leung, Ray A. Lucas, Derek J. McLeod, Lorenzo Napolitano, Masafusa Onoue, Fabio Pacucci, Casey Papovich, Pablo G. Pérez-González, Nor Pirzkal, Rachel S. Somerville, Jonathan R. Trump, Stephen M. Wilkins, L. Y. Aaron Yung, Haowen Zhang

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Temporarily Quiescent Galaxies at Cosmic Dawn: Probing Bursty Star Formation by Viola Gelli, Andrea Pallottini, Stefania Salvadori, Andrea Ferrara, Charlotte Mason, Stefano Carniani, Michele Ginolfi

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Latent Ewald summation for machine learning of long-range interactions by Bingqing Cheng

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Real-Time Fire Risk Classification Using Sensor Data and Digital-Twin-Enabled Deep Learning by In-Seop Na, Vani Rajasekar, Velliangiri Sarveshwaran

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Unfavourable sedentary and physical activity behaviour before and after retirement: a population-based cohort study by Maria Ekblom, Yvonne Forsell, Nienke ter Hoeve, Carla F J Nooijen

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Bioinformatics and Deep Learning Approach to Discover Food-Derived Active Ingredients for Alzheimer’s Disease Therapy by Junyu Zhou, Chen Li, Yong Kwan Kim, Sunmin Park

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PIFRNet: Position Information Guided Feature Reconstruction Network for Salient Object Detection in Remote Sensing Images by Zhen Wang, Ruixiang Li, Xiaotian Wang, Nan Xu, Zhuhong You

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Repair Analysis of Overlay Woven Fabric CFRP Laminates by Umur Ulas Harman, Arman Uluoğlu, Alihan Cambaz, Osman Caglar Baysalli, Yasin Furkan Görgülü

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Prognostic value of plasma biomarkers for informing clinical trial design in mild-to-moderate Alzheimer’s disease by Yuqi Qiu, Diane M. Jacobs, Karen Messer, David P. Salmon, Cheryl L. Wellington, Sophie Stukas, Carolyn Revta, James B. Brewer, Gabriel C. Léger, Brianna Askew, Lia Donahue, Stephen Kaplita, Vladimir Coric, Irfan A. Qureshi, Howard H. Feldman, The Alzheimer’s Disease Cooperative Study T2 Protect AD Study Group

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