Physics-informed machine learning for automatic model reduction in chemical reaction networks by Joseph Pateras, Colin Zhang, Shriya Majumdar, Ayush Pal, Preetam Ghosh

“…The methodology offers a scalable and adaptable tool for applications beyond biomedical research. Its ability to dynamically adjust model complexity based on system-specific needs ensures that models remain both computationally feasible and scientifically relevant, accommodating new data and evolving understandings of complex phenomena.…”
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Sports Cardiology by Schüttler D, 2, 3, Hamm W, 2, Bauer A, 4, Brunner S

“…Due to the extent of the review we focus on the most established and promising parameters:heart rate variability (HRV), heart rate recovery (HRR), periodic repolarization dynamics (PRD) and deceleration capacity (DC). We aim to provide an overview of their current and potential application in sports medicine and discusscurrent challenges in interpretation. …”
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Linear Free Surface of Steady and Unsteady Flow Theoretical Study by Suha Ibrahim AL-Ali, Nihad Jalal AL-Awsi

“…The length scale of the spatial separation between the interface and the sink emerges as a critical factor in determining cone. These findings contribute to a better understanding of cone phenomena and emphasize the significance of considering specific dimensions in the analysis of flow dynamics within porous media. …”
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Pelotherapy and magnetic field in combined treatment of bronchial asthma patients with accompanying gastrointestinal pathology by T. N. Zaripova, N. N. Simagayeva, I. I. Antipova, O. A. Anichkina, S. S. Shakhova, N. M. Yuriyeva, D. I. Kuzmenko

“…The study of the dynamics of clinical pattern, biochemical, immunological, functional, and endoscopic data has shown the efficiency of the combined application of pelotherapy and TMF, which exert the positive effect on the main and accompanying diseases and provide high immediate and long-term results of treatment.…”
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Evaluation of the thermomechanical properties of novel epoxy composites reinforced with Geonoma baculifera fibers by Belayne Zanini Marchi, Pedro Henrique Poubel Mendonça da Silveira, Wendell Bruno Almeida Bezerra, Marcelo Henrique Prado da Silva, Sergio Neves Monteiro, André Ben-Hur da Silva Figueiredo

“…These factors contribute to the development of an efficient, sustainable, recyclable and environmentally friendly composite.…”
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Advanced Learning Technologies for Intelligent Transportation Systems: Prospects and Challenges by Ruhul Amin Khalil, Ziad Safelnasr, Naod Yemane, Mebruk Kedir, Atawulrahman Shafiqurrahman, NASIR SAEED

“…Intelligent Transportation Systems (ITS) operate within a highly intricate and dynamic environment characterized by complex spatial and temporal dynamics at various scales, further compounded by fluctuating conditions influenced by external factors such as social events, holidays, and weather. …”
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Integrating social customer relationship management into customer lifetime value: Empirical evidence from Vietnamese banking by Nguyen Ha Thach, Pham Thi Kim Thanh, Nguyen Thi Thanh Hien, Nguyen Thu Hien

“…To establish broader applicability, future studies should replicate this model in different national or industry contexts. …”
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Diurnal Variations of Infrared Land Surface Emissivity in the Taklimakan Desert: An Observational Analysis by Yufen Ma, Kang Zeng, Ailiyaer Aihaiti, Junjian Liu, Zonghui Liu, Ali Mamtimin

“…This study provides three key insights for remote sensing applications: the development of dynamic emissivity correction schemes, the prioritization of the long-wave infrared band for surface temperature inversion in arid regions, and the integration of ground-based observations with geostationary high-spectral data to construct spatiotemporally continuous emissivity models. …”
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Analyzing Momentum Shifts in Tennis: A Machine-Learning Approach to Predicting Match Outcomes by Yuean Xia, Changfeng Li, Tanran Zhang

“…This study examines the impact of momentum dynamics on tennis match outcomes, addressing the limitations of traditional performance prediction methods. …”
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From safety to efficiency: How drivers of technology adoption changed during the COVID-19 pandemic in municipal home care by Roger Larsson, Christofer Rydenfält, Johanna Persson, Gudbjörg Erlingsdóttir

“…Trial registration Not applicable.…”
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Predicting future brand value: The role of machine learning monitoring by Ahmad Al Adwan, Ghaiath Altrjman, Lu’ay Al-Mu’ani

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Consideration of heterogeneity in the fragmentation of carbonate reservoir deposits in the modeling of acid treatments by Mukhametshin Vyacheslav Sh., Gilyazetdinov Ruslan, Khamzin Rinat

“…The criteria for their application are determined based on the influence of thickness properties, which will make it possible to make effective management decisions. …”
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Entropy analysis of Hall-effect-driven TiO2−CoFe2O4/ engine oil-based hybrid nanofluid flow between spinning porous disks with thermal convective boundaries by Sk Enamul, Surender Ontela

“…The applications of fluid dynamics and heat transfer between coaxial double-rotating disks are diverse and crucial across various engineering and scientific fields. …”
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Financial Management Practices and Small- Scale Businesses' Profitability, from the Viewpoint of Kabale Municipality, Uganda by Eton, Marus, Fabian, Mwosi, Eliab, Byamukama Mpora

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Enhancing thermal efficiency in helical heat exchangers: A CFD study on twisted tube configurations by Valiyollah Ghazanfari, Fatemeh Mansourzade, Armin Taheri, Younes Amini, Mohammad Mahdi Shadman

“…Computational Fluid Dynamics (CFD) simulations were used to examine the Nusselt number, resistance factor, and Performance Evaluation Criteria (PEC) at Reynolds numbers of 1000, 1500, 2000, and 2500. …”
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Nuclear receptors in metabolism and diseases: Mechanistic and therapeutic insights by Chen-Ying Zhu, Pei-Han Yu, Qi Sun, De-Fei Hong, Chang Yang, Hua Naranmandura

“…Nuclear receptors (NRs) are ligand-activated transcription factors that function as metabolic sensors, integrating endogenous and xenobiotic signals to regulate gene networks controlling metabolism, immunity, and cellular homeostasis. …”
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Metaheuristic Optimization for Robust RSSD-Based UAV Localization with Position Uncertainty by Yuanyuan Zhang, Jiping Li, T. Aaron Gulliver, Huafeng Wu, Guangqian Xie, Xiaojun Mei, Jiangfeng Xian, Weijun Wang, Linian Liang

“…However, potential collisions and other issues can disrupt communication and hinder functionality in real-world applications. Therefore, accurate localization of UAVs is crucial. …”
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Optimal Design of a Micro Reversible Pump Turbine for Balancing Generation Mode and Storage Mode by Tengjiao Guo, Jiale Pan, Ran Tao, Ruofu Xiao

“…ABSTRACT The inefficiency of traditional micro horizontal pump units (double‐suction centrifugal pumps) when operating in reverse mode as water turbines has hindered their application in pumped storage systems. In response, this study proposes an optimization approach integrating Bezier curve control, bidirectional weighting, and genetic algorithms (GA) based on computational fluid dynamics (CFD) to enhance the reversible high‐efficiency performance of double‐suction centrifugal pumps. …”
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Multimodal spatial transcriptomic characterization of mouse kidney injury and repair by Qiao Xuanyuan, Haojia Wu, Hemalatha Sundaramoorthi, Pierre Isnard, Changfeng Chen, Waleed Rahmani, Benjamin D. Humphreys

“…Altogether, our study provides deep insights into the cellular and molecular dynamics during kidney injury and repair and establishes a comprehensive multimodal analytical framework applicable to other spatial omics studies.…”
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Impact of Teacher’s Pupil’s Class Relationship on Academics in Selected Schools of Bubare Town Council Rubanda District. by Amanya, Apollo

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