Enhancing Grid Stability Through Physics-Informed Machine Learning Integrated-Model Predictive Control for Electric Vehicle Disturbance Management by Bilal Khan, Zahid Ullah, Giambattista Gruosso

“…The MPC formulation optimizes pre-emptive control actions to mitigate the disturbance and ensure robust grid stability and enhanced EV integration. …”
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A k-nearest text similarity-BiGRU approach for duration prediction of traffic accidents on expressways by Jiaona Chen, Jin Zhang, Peng Wang, Yinli Jin

“…Abstract Accurate prediction of traffic accident duration is critical for alleviating congestion and optimizing traffic management. This study proposes a k-nearest text similarity-BiGRU(Bidirectional Gated Recurrent Unit) approach to predict the duration of traffic accidents using textual records. …”
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A review on WO3 photocatalysis used for wastewater treatment and pesticide degradation by Yerkanat N. Kanafin, Alshyn Abduvalov, Marat Kaikanov, Stavros G. Poulopoulos, Timur Sh. Atabaev

“…Moreover, enhancement methods aimed at optimizing the photocatalytic activity of WO3 under visible light for pollutant degradation have been discussed. …”
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Nitric oxide role in development of the endothelial dysfunction in diabetic foot syndrome by O. O. Bilyayeva, H. P. Kozynets, O. I. Osadcha, Ye. Ye. Kryzhevskyy, M. A. Knivets

“…The use of NO-therapy helps to optimize the processes of regulation of the induction of nitric oxide and to improve the clinical results in the treatment of diabetic foot syndrome.…”
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Bacterial pericarditis and antimicrobial resistance at the Tehran Heart Center, Iran by Maryam Sotoudeh Anvari, Rezvan Kianinejad, Mohammad Ali Boroumand, Soraya Arzhan, Arash Jalali

“…Conclusions: In order to diminish the nascence and extension of antimicrobial-resistant pathogens, logical and optimized antimicrobial usage and monitoring in hospitals are highly recommended. …”
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Impacts of trace minerals (zinc, copper, and selenium) supplementation on pig’s health under different challenge models by Maykelly da Silva Gomes, Gabriel Cipriano Rocha, Danyel Bueno Dalto, Damares de Castro Fidelis Toledo, Jansller Luiz Genova

“…While nutritional guidelines define baseline requirements, the swine industry frequently adopts supranutritional levels of Zn, Cu, and Se to optimize health and performance. Therefore, this review explores the impacts of trace mineral supplementation (e.g., Zn, Cu, and Se) on pig health subjected to stressors such as heat stress, oxidative stress, and infections. …”
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Leveraging Priority Queueing in IoT-Edge-Fog-Cloud Infrastructures for Efficient Healthcare Monitoring by Dang Van Anh, Van-Hau Nguyen

“…By addressing key challenges in IoHT data processing and prioritization, this work enables the development of efficient, responsive, and reliable IoHT systems for timely and personalized healthcare interventions, ultimately improving patient outcomes and quality of care.…”
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MoS₂–Plasmonic Hybrid Platforms: Next-Generation Tools for Biological Applications by Nayra A. M. Moussa, Seungah Lee, Seong Ho Kang

“…These MoS₂–plasmonic hybrid systems hold great promise in areas such as biosensing, bioimaging, and phototherapy, where their complementary properties facilitate improved detection, real-time visualization, and targeted therapeutic interventions. …”
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Transcriptome and Metabolome Analysis Reveals the Effect of Temperature on the Vegetative Mycelium of <i>Morchella sextelata</i> by Xinyu Hu, Leran Ma, Junhe Liu, Tianyuan Zhang, Zhen Wang

“…These insights enhance our comprehension of the adaptive mechanisms of <i>M. sextelata</i> to thermal variations while providing valuable references for optimizing environmental temperature regulation in their cultivation as well as offering clues for selecting varieties capable of thriving under diverse thermal conditions.…”
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Charge Diffusion and Repulsion in Semiconductor Detectors by Manuel Ballester, Jaromir Kaspar, Francesc Massanés, Alexander Hans Vija, Aggelos K. Katsaggelos

“…The increasing need for precise detector characterization highlights the importance of developing advanced digital twins, which help optimize the design and performance of imaging systems. …”
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Design of Point Charge Models for Divalent Metal Cations Targeting Quantum Mechanical Ion–Water Dimer Interactions by Yongguang Zhang, Binghan Wu, Chenyi Lu, Haiyang Zhang

“…Together with the overestimated density and viscosity of the salt solutions, these results indicated the necessity of re-optimizing ion–ion interactions and/or including polarization effects in the design of ion models. …”
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A Review on Laser-Induced Graphene-Based Electrocatalysts for the Oxygen Reduction Reaction in Electrochemical Energy Storage and Conversion by Giulia Massaglia, Marzia Quaglio

“…Additionally, this review explores future perspectives on optimizing LIG for next-generation energy storage and conversion technologies.…”
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On the Complex Flow Dynamics of Shear Thickening Fluids Entry Flows by Miguel Montenegro, Francisco J. Galindo-Rosales

“…Due to their nature, using shear thickening fluids (STFs) in engineering applications has sparked an interest in developing energy-dissipating systems, such as damping devices or shock absorbers. …”
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High‐throughput phenotyping platforms for pulse crop biofortification by Amod Madurapperumage, M. Z. Naser, Lucas Boatwright, William Bridges, George Vandemark, Dil Thavarajah

“…This review summarizes different phenotyping techniques applied to nutritional and agronomic traits for crop breeding and reviews applications of machine learning tools for optimizing HTP.…”
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Development of an AI-Based Image Analysis Model for Verifying Partial Defects in Nuclear Fuel Assemblies by Seulah Kim, Dayun Park, Hyung-Joo Choi, Chulhee Min, Jaejoon Ahn

“…This study aims to increase the accuracy of SNF defect detection by optimizing artificial intelligence (AI)-based classification algorithms. …”
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Interpretable Deep Learning for Diabetic Retinopathy: A Comparative Study of CNN, ViT, and Hybrid Architectures by Weijie Zhang, Veronika Belcheva, Tatiana Ermakova

“…These findings provide valuable insights for optimizing deep learning models in medical imaging, supporting the development of clinically viable AI-driven DR screening systems.…”
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Integrated Photonic Biosensors: Enabling Next-Generation Lab-on-a-Chip Platforms by Muhammad A. Butt, B. Imran Akca, Xavier Mateos

“…Special focus is given to the design strategies that optimize light–matter interaction, enhance sensitivity, and enable multiplexed detection. …”
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Innovative monitoring of therapeutic adherence in children with persistent asthma through text messaging by Roxana Aznaran-Torres, Natalia Nombera-Aznaran, Milagros Nombera-Aznaran, Omar Aznaran-Torres

“…Background: Approximately 25% of children with asthma experience uncontrolled symptoms, leading to frequent exacerbations, emergency visits, systemic corticosteroid use, unnecessary antibiotic prescription, and increased mortality risk. …”
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Using ultrasonic and microwave to prevent and reduce wax deposition in oil production by Ali Akbari, Yousef Kazemzadeh, Dmitriy A. Martyushev, Farid Cortes

“…Wax deposition in oil and gas pipelines and equipment is a fundamental challenge that can lead to a decrease in the performance and useful life of these systems. To address this issue, various methods have been developed to reduce wax deposition. …”
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Artificial Intelligence (AI) in the Banking Industry: A Review of Service Areas and Customer Service Journeys in Emerging Economies by Tajudeen Alaburo Abdulsalam, Rofiat Bolanle Tajudeen

“…The research contributes to the theoretical and empirical frameworks that explain how AI is optimally integrated into banking operations, guiding policymakers and practitioners in leveraging AI to foster financial inclusion and economic growth. …”
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