A common alteration in effort-based decision-making in apathy, anhedonia, and late circadian rhythm by Sara Z Mehrhof, Camilla L Nord

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The Relationship between School Socioeconomic Composition and Academic Achievement in Turkiye by Mahmut Özer, Hayri Eren Suna

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TCR-T cell therapy: current development approaches, preclinical evaluation, and perspectives on regulatory challenges by Elena A. Golikova, Alina A. Alshevskaya, Saleh Alrhmoun, Natalia A. Sivitskaya, Sergey V. Sennikov

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Seasonal Changes in the Atmosphere of HD 80606 b Observed with JWST’s NIRSpec/G395H by James T. Sikora, Jason F. Rowe, Jared Splinter, Saugata Barat, Lisa Dang, Nicolas B. Cowan, Thomas Barclay, Knicole D. Colón, Jean-Michel Désert, Stephen R. Kane, Joe Llama, Hinna Shivkumar, Keivan G. Stassun, Elisa V. Quintana

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Multiscale computational framework linking alloy composition to microstructure evolution via machine learning and nanoscale analysis by Jaemin Wang, Hyeonseok Kwon, Sang-Ho Oh, Jae Heung Lee, Dae Won Yun, Hyungsoo Lee, Seong-Moon Seo, Young-Soo Yoo, Hi Won Jeong, Hyoung Seop Kim, Byeong-Joo Lee

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Global effects of DNA replication and DNA replication origin activity on eukaryotic gene expression by Larsson Omberg, Joel R Meyerson, Kayta Kobayashi, Lucy S Drury, John F X Diffley, Orly Alter

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Using the Coolest Ae Stars to Constrain Circumstellar Disk Viscosity by R. Anusha, T. A. A. Sigut

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From Bytes to Insights Through a Bibliometric Journey into AI's Influence on Public Services by POPESCU Ruxandra-Irina, CORBOȘ Răzvan-Andrei, BUNEA Ovidiu-Iulian

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Detecting Adversarial Examples Using Cross-Modal Semantic Embeddings From Images and Text by Sohee Park, Gwonsang Ryu, Daeseon Choi

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Recent Results on the Use of Artificial Intelligence Techniques Applied to Wireless Power Transfer Systems by Federico Amadei, Michele Quercio, Francesco Riganti Fulginei

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Biomechanical Characteristics of Osteoporotic Fracture Healing in Ovariectomized Rats: A Systematic Review. by Lin Chen, Long Yang, Min Yao, Xue-Jun Cui, Chun-Chun Xue, Yong-Jun Wang, Bing Shu

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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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Effect of caloric restriction on organ size and its contribution to metabolic adaptation: an ancillary analysis of CALERIE 2 by Kaja Falkenhain, Leanne M. Redman, Wendy Chen, Corby K. Martin, Eric Ravussin, Wei Shen

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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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