A sustainable method for analyzing and studying the fractional-order panic spreading caused by the COVID-19 pandemic by Muhammad Farman, Evern Hincal, Parvaiz Ahmad Naik, Ali Hasan, Aceng Sambas, Kottakkaran Sooppy Nisar

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Calculation of a heat exchanger using heat pipes in the exhaust air heat recovery system by A. S. Zaitsev, M. V. Shamarov, R. A. Zhlobo, E. O. Ivchenko

“…The research is based on methods of thermodynamic analysis, full-scale and computational modeling of processes and objects of refrigeration and cryogenic technology, air conditioning and life support systems. …”
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Implementation and Performance Evaluation of Quantum Machine Learning Algorithms for Binary Classification by Surajudeen Shina Ajibosin, Deniz Cetinkaya

“…In this work, we studied the use of Quantum Machine Learning (QML) algorithms for binary classification and compared their performance with classical Machine Learning (ML) methods. …”
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Preclinical Positron Emission Tomographic Imaging of Acute Hyperoxia Therapy of Chronic Hypoxia during Pregnancy by Alexander Zheleznyak, Joel R. Garbow, Michal Neeman, Suzanne E. Lapi

“…Hypoxic placentas and fetuses retained more 64 Cu-ATSM compared to normoxic placentas and fetuses. Herein we report first-in-mouse PET imaging of fetuses employing both tracers [ 18 F]FDG (metabolism) and 64 Cu-ATSM (hypoxia). [ 18 F]FDG PET/CT imaging allowed clear visualization of placental-fetal structures and supported quantification of tracer uptake, making this a sensitive tool for monitoring placental function in preclinical rodent models. …”
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stormTB: a web-based simulator of a murine minimal-PBPK model for anti-tuberculosis treatments by Roberto Visintainer, Anna Fochesato, Anna Fochesato, Daniele Boaretti, Stefano Giampiccolo, Stefano Giampiccolo, Shayne Watson, Micha Levi, Federico Reali, Luca Marchetti, Luca Marchetti

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Low Testosterone Level and Mortality Risk in Patients With Prostate Cancer: A Post‐Randomization Analysis by Sayeh Fattahi, Ming‐Hui Chen, Jing Wu, Alicia C. Smart, Anthony V. D'Amico

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A robust implicit Jungck iterative scheme: stability, data dependency, and applications to nonlinear integral equations by Kapil Kumar, Hind Alamri, Vivek Kumar, Faik Gürsoy, Ioannis K. Argyros, Nawab Hussain

“…This work addresses key limitations in previous studies (Alam, Rohen in J. …”
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RUL prediction method based on cross-view hybrid network model by Ai Yandi, Fang Dong, Tian Zhiping, Yan Kaiyang

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Impact of Y chromosome loss on the risk of Parkinson's disease and progressionResearch in context by Junhao Wang, Xinyi Chen, Wenxuan Du, Cha Lin, Yu Liao, Jean-Christophe Corvol, Jodi Maple-Grødem, Meghan C. Campbell, Alexis Elbaz, Suzanne Lesage, Alexis Brice, Michael A. Schwarzschild, Pille Taba, Sulev Kõks, Guido Alves, Ole-Bjørn Tysnes, Joel S. Perlmutter, Baijayanta Maiti, Jacobus J. van Hilten, Roger A. Barker, Caroline H. Williams-Gray, Clemens R. Scherzer, Ganqiang Liu, Ganqiang Liu, Rebecca R. Valentino, Zhixiang Liao, Joseph J. Locascio, Jean-Christophe Corvol, Xianjun Dong, Jodi Maple-Grødem, Meghan C. Campbell, Alexis Elbaz, Suzanne Lesage, Alexis Brice, Graziella Mangone, John H. Growdon, Albert Y. Hung, Michael A. Schwarzchild, Michael T. Hayes, Anne-Marie Wills, Todd M. Herrington, Bernard Ravian, Ira Shoulson, Pille Taba, Sulev Kõks, Thomas G. Beach, Florence Cormier-Dequaire, Guido Alves, Ole-Bjørn Tysnes, Joel S. Perlmutter, Peter Heutink, Jacobus J. van Hilten, Meike Kasten, Brit Mollenhauer, Claudia Trenkwalder, Christine Klein, Roger A. Barker, Caroline H. Williams-Gray, Johan Marinus, Clemens R. Scherzer

“…C.R.S.'s work is supported by NIH grants NINDS/NIA R01NS115144, the U.S. …”
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Coarse-Grained Hawkes Processes by Shinsuke Koyama

“…The introduced model, termed the coarse-grained Hawkes process, effectively captures the second-order statistical characteristics of the bin-count representation of the Hawkes process, particularly when the bin size is large relative to the typical support of the excitation kernel. Building upon this model, we develop a method for inferring the underlying Hawkes process from bin-count observations, and demonstrate through simulation studies that the proposed approach performs comparably to, or even surpasses, existing techniques, while maintaining computational efficiency in parameter estimation.…”
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Partnerships as Professional Learning: Early Childhood Teaching Assistants’ Role Development and Navigation of Challenges Within a Culturally Responsive Robotics Program by Hannah R. Thompson, Lori A. Caudle, Frances K. Harper, Margaret F. Quinn, Mary Kate Avin, The CRRAFT Partnership

“…Accordingly, early childhood educators both require substantial support when integrating culturally responsive computing into curriculum and instruction and offer valuable perspectives on emerging practices. …”
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Organising general practice for care homes: a multi-method study by Barbara Hanratty, Rachel Stocker, David Sinclair, Katie Brittain, Karen Spilsbury, Daniel Stow, Louise Robinson, Fiona E Matthews

“…NHS England funded the Vanguard initiative (2015–8) to identify and support innovative ways of working with care homes in five areas. …”
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Advancements in Multi-Objective Optimization for Planning and Management of Multi-Energy Systems by Marco Tangi, Alessandro Amaranto

“…Multiple objectives are usually merged via monetization rates. The work presented herein aims to develop modelling frameworks to explore of configurations of Multi-energy systems according to non-comparable objectives and extract trade-off solutions through optimization algorithms. …”
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On а Recursive-Parallel Algorithm for Solving the Knapsack Problem by Vladimir V. Vasilchikov

“…Such applications have the ability to generate parallel branches of computation directly during program execution and dynamically redistribute work between computing modules. …”
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Optimization of management of patients with critical lower limb ischemia, allowing for risk of gangrene by A. V. Bykov, N. A. Korenevsky, S. A. Parkhomenko, I. I. Khripina

“…The obtained mathematical models should be used in the medical practice of vascular surgeons and angiologists, both in the form of software for smartphones and tablet computers, and as part of decision support systems, including telemedicine systems.…”
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Novel insights into post-myocardial infarction cardiac remodeling through algorithmic detection of cell-type composition shifts. by Brian Gural, Logan Kirkland, Abigail Hockett, Peyton Sandroni, Jiandong Zhang, Manuel Rosa-Garrido, Samantha K Swift, Douglas J Chapski, Michael A Flinn, Caitlin C O'Meara, Thomas M Vondriska, Michaela Patterson, Brian C Jensen, Christoph D Rau

“…RNAscope validation supported the composition-aware findings for key genes. …”
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Polygraph and audio synchronization applied to apnea event analysis based on non-negative matrix factorization by Francisco David Gonzalez-Martinez, Juan De La Torre-Cruz, Julio Jose Carabias-Orti, Francisco Jesus Canadas-Quesada, Alejandro Antonio Salvador-Navarro, Jose Ranilla, Lyam Lamrini-H. Laarbi

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Exploring the Integration of Generative AI Tools in Software Testing Education: A Case Study on ChatGPT and Copilot for Preparatory Testing Artifacts in Postgraduate Learning by Susmita Haldar, Mary Pierce, Luiz Fernando Capretz

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Are queries and keys always relevant? A case study on transformer wave functions by Riccardo Rende, Luciano Loris Viteritti

“…Specifically, we perform numerical simulations on the two-dimensional J _1 – J _2 Heisenberg model, a common benchmark in the field of quantum many-body systems on lattice. By comparing the performance of standard attention mechanisms with a simplified version that excludes queries and keys, relying solely on positions, we achieve competitive results while reducing computational cost and parameter usage. …”
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Defense scheme for the world state based attack in Ethereum by Zhen GAO, Dongbin ZHANG, Xiao TIAN

“…Ethereum is taken as the representative platform of the second generation of blockchain system.Ethereum can support development of different distributed applications by running smart contracts.Local database is used to store the account state (named world state) for efficient validation of transactions, and the state root is stored in the block header to guarantee the integrity of the state.However, some researches revealed that the local database could be easily tempered with, and attackers can issue illegal transactions based on the modified account state to obtain illegitimate benefits.This world-state based security problem was introduced, and the preconditions for attack were analyzed.Compared with the two common security threats under the PoW (proof of work) consensus, it was found that when the attacker controls the same mining computing power, the world-state based attack brought higher risk, and the success rate approached 100%.In order to deal with this threat, a practical scheme for attack detection and defense was proposed accordingly.The secondary verification and data recovery process were added to the Ethereum source code.The feasibility and complexity of the proposed scheme was evaluated with single-machine multi-threading experiments.The proposed scheme improves Ethereum’s tolerance to malicious tampering of account state, and is applicable to other blockchain platforms applying local database for transaction validation, such as Hyperledger Fabric.In addition, the time and computational overhead brought by the proposed scheme are not prominent, so it has good applicability and induces acceptable impact on the performance of original system.…”
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