Study on Heat Transfer of Fluid in a Porous Media by VOF Method with Fractal Reconstruction by Shuai Liu, Qingyong Zhu, Wenjun Xu

“…This research is significant because understanding heat transfer in these complex porous media is essential for optimizing energy systems, enhancing thermal management in industrial processes, and improving the efficiency of phase-change-based technologies. …”
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Graph-based reinforcement learning for software-defined networking traffic engineering by Jingwen Lu, Chaowei Tang, Wenyu Ma, Wenjuan Xing

“…GRL-TE introduces three key innovations: (1) TopoFlowNet, a graph neural network architecture that models WANs as bipartite graphs with edge nodes representing physical links and path nodes representing candidate paths, enabling efficient bidirectional information propagation through GINConv layers while MLP modules handle collaborative relationships among paths serving the same demand; (2) A one-step A2C mechanism specifically designed for TE with immediate reward structure, eliminating the need for future state estimation and significantly simplifying training; (3) Integration of ADMM as a post-processing step to iteratively reduce constraint violations while improving solution quality. …”
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Automatic Identification of High-Quality Channels in Distributed Acoustic Sensing Through Implementation of a Channel Quality Index by Tatiana Rodriguez, Aleix Segui, Arantza Ugalde, Melania Cubas Armas, Hugo Latorre, Sergi Ventosa, Tony Monfret

“…Identifying and filtering out low-quality channels reduces unnecessary data processing and optimizes resource use. To address this, we developed a channel quality index (CQI), a machine-learning-based approach that automatically identifies high-quality DAS channels based on their ability to record earthquake signals. …”
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Pharmacokinetics of Levofloxacin Entrapped in Non-Ionic Surfactant Vesicles (Niosomes) in Sprague Dawley Rats by Amusa S. Adebayo, Satish Jankie, Jenelle Johnson, Lexley Pinto Pereira, Kafilat Agbaje, Simeon K. Adesina

“…<b>Methods</b>: Formulation and processing variables settings were determined using DoE Fusion One software. …”
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The effects of SGLT2i on cardiac metabolism in patients with HFpEF: Fact or fiction? by Francesca Cinti, Renzo Laborante, Luigi Cappannoli, Cassandra Morciano, Shawn Gugliandolo, Alfredo Pontecorvi, Francesco Burzotta, Maria Donniacuo, Donato Cappetta, Giuseppe Patti, Andrea Giaccari, Domenico D’Amario

“…This review aims to critically examine the effects of SGLT2i on cardiac metabolism in HFpEF, evaluating whether the observed benefits can truly be attributed to their impact on myocardial energy regulation or whether they represent other, potentially confounding, mechanisms. We will focus on the key metabolic processes possibly modulated by SGLT2i, including myocardial glucose utilization, fatty acid oxidation, and mitochondrial function, and explore their effects on heart failure pathophysiology. …”
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Diabetic kidney disease: from pathogenesis to multimodal therapy–current evidence and future directions by Hui Zhang, Keding Wang, Hairui Zhao, Bowen Qin, Xiaojing Cai, Manyi Wu, Junhua Li, Junhua Li, Jielian Wang

“…In addition to these classical mechanisms, emerging processes such as ferroptosis (iron-dependent cell death), impaired autophagy, gut microbiota dysbiosis, and epigenetic alterations offer promising therapeutic targets. …”
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Enhancing DDoS Attacks Mitigation Using Machine Learning and Blockchain-Based Mobile Edge Computing in IoT by Mahmoud Chaira, Abdelkader Belhenniche, Roman Chertovskih

“…Our results demonstrate that Transformer models achieve a superior detection accuracy of 99.78%, while RF follows closely with 99.62%, and LightGBM offers optimal efficiency for real-time detection. This integrated approach significantly enhances detection accuracy and mitigation effectiveness compared to existing methods, providing a robust and adaptive mechanism for identifying and mitigating malicious traffic patterns in IoT environments.…”
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Glucosinolates from Broccoli By-Products Obtained by Pressurized Liquid Extraction Exert Anti-Inflammatory Activity on Non-Malignant Colonic Myofibroblasts by María Borja-Martínez, Jesús Lozano-Sánchez, Rosa Quirantes-Piné, Lorena Almagro, María A Pedreño, Ana B. Sabater-Jara

“…In this work, pressurized liquid extraction (PLE) based on response surface methodology (RSM) has been developed and optimized for the GSLs’ extraction, with the aim to evaluate the potential protective mechanisms triggered by GSLs-enriched extracts from broccoli by-products in CCD-18Co myofibroblasts exposed to lipopolysaccharide (LPS). …”
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Inversion of Biological Strategies in Engineering Technology: A Case Study of the Underwater Soft Robot by Siqing Chen, He Xu, Xueyu Zhang, Tian Jiang, Zhen Ma

“…Bio-inspired design, a paradigm-shifting methodology that translates evolutionary mechanisms into engineering solutions, has established itself as a cornerstone for pioneering innovation in multifaceted technological systems. …”
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Polarization-Independent Broadband Infrared Selective Absorber Based on Multilayer Thin Film by Shenglan Wu, Hao Huang, Xin Wang, Chunhui Tian, Zhenyong Huang, Zhiyong Zhong, Shuang Liu

“…Moreover, the proposed planarized structure design is compatible with standard fabrication processes and has good scalability, which can be applied to other electromagnetic wave bands. …”
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Decentralized Trust and Dynamic Batching for Multi-Domain SDN Using Blockchain by Javier Jose Diaz Rivera, Ricard Vilalta, Raul Munoz, Pol Alemany, Lluis Gifre Renom

“…The framework leverages permissioned blockchains to establish decentralized trust, with SDN controllers acting as validator nodes to validate and commit transactions upon reaching consensus. An Adaptive Batch Mechanism (ABM) is introduced to optimize block formation by dynamically adjusting batch parameters and using dummy transactions to maintain efficiency during low and varying transaction loads. …”
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Hyperspectral image super-resolution via joint network with spectral-spatial strategy by Yaxin Dong, Bo Yang, Cong Liu, Zemin Geng, Taiping Wang

“…Besides, we design a spectral attention mechanism (SpeAM), which dynamically weights remote dependencies through bidirectional spectral sequence analysis, while the graph-based spatial processing adaptively learns patch similarities through optimized edge connections. …”
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Electrochemical Microneedles for Real-Time Monitoring in Interstitial Fluid: Emerging Technologies and Future Directions by Suhyeon Cha, Min Yu Choi, Min Jung Kim, Sang Baek Sim, Izzati Haizan, Jin-Ha Choi

“…Conventional blood-based detection methods for biomarkers and analytes face significant limitations, including complex processing, variability in blood components, and the inability to provide continuous monitoring. …”
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A Hierarchical Dispatcher for Scheduling Multiple Deep Neural Networks (DNNs) on Edge Devices by Hyung Kook Jun, Taeho Kim, Sang Cheol Kim, Young Ik Eom

“…The dispatcher in our framework acts as a mechanism for allocating, executing, and managing subgraphs of DNNs across various PUs, and the scheduling policy generates optimized scheduling sequences. …”
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Applications of Behavioral Economics and Neuroeconomics in Mental Health by Barno Sayfutdinovna Abdullaeva, Diyorjon Abdullaev, Laylo Djuraeva, Dilfuza Karimullaevna Sagdullaeva, Azam Kholikov

“…Further research is needed to elucidate the mechanisms of action, optimize intervention strategies, and address ethical considerations associated with these approaches in mental health settings. …”
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Circadian rhythms revealed: unraveling the genetic, physiological, and behavioral tapestry of the human biological clock and rhythms by Renée Morin, Geneviève Forest, Pascal Imbeault, Pascal Imbeault

“…The pivotal role of circadian rhythms in regulating physiological processes (e.g., sleep-wake cycles, body temperature, and hormone levels) emphasizing their influence on overall health and wellbeing is discussed. …”
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XSQ-Learning: Adaptive Similarity Thresholds for Accelerated and Stable Q-Learning by Ansel Y. Rodríguez González, Roberto E. López Díaz, Shender M. Ávila Sansores, María G. Sánchez Cervantes

“…Reinforcement Learning (RL) enables agents to learn optimal policies through environment interaction, with Q-learning being a fundamental algorithm for Markov Decision Processes (MDPs). …”
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Key Blasting Parameters for Deep-Hole Excavation in an Underground Tunnel of Phosphorite Mine by Xiu-wei Chai, Sha-sha Shi, Yao-feng Yan, Jian-guo Li, Long Zhang

“…Ever increasing mine production capacity and mechanized operations enable advanced drilling equipment to be widely adopted in underground mines. …”
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Neurobiological and Microbiota Alterations After Bariatric Surgery: Implications for Hunger, Appetite, Taste, and Long-Term Metabolic Health by Sebastián Chapela, Ludwig Alvarez-Córdova, Andres Martinuzzi, Rosario Suarez, Victoria Gonzalez, Ezequiel Manrique, Janeth Castaño, Gianluca Rossetti, Luigi Cobellis, Vincenzo Pilone, Evelyn Frias-Toral, Luigi Schiavo

“…Understanding these mechanisms is essential for optimizing post-operative care, including nutritional strategies and behavioral interventions. …”
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QTL analysis and management of plant productivity in the precision agriculture by Yu. V. Chesnokov

“…Modern crop cultivation technologies have reached the limits of “saturation” both in the ecological (environmental pollution, suppression of the mechanisms of its self-regulation), energy (exponential growth of irreplaceable energy costs for each additional unit of production), and in production. …”
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