Method for Burning Super-Poor Fuel Mixtures in the Combustion Chamber of the Energy Microturbine by Means of theStreamer Discharge by Grachev L.P., Bulat P.V., Esakov I.I., Bulat M.P., Volobuev I.A., Upyrev V.V.

“…The paper considers the problem of increasing fuel efficiency and reducing emissions of gas turbine power plants. …”
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Parameter sensitivity analysis for diesel spray penetration prediction based on GA-BP neural network by Yifei Zhang, Gengxin Zhang, Dawei Wu, Qian Wang, Ebrahim Nadimi, Penghua Shi, Hongming Xu

“…The GA-BP neural network was selected for its ability to optimize neural network weights and thresholds, thereby improving model convergence and avoiding local minima, which are common challenges in complex, non-linear problems such as spray prediction. …”
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Experimental and Numerical Study on Flow and Heat Transfer Characteristics of Additively Manufactured Triply Periodic Minimal Surface (TPMS) Heat Exchangers for Micro Gas Turbine by Xiyuan Su, Yueliang Zhang, Yu Rao, Kirttayoth Yeranee, Xintong Wang

“…This paper proposes two compact, efficient, and lightweight heat exchangers based on triply periodic minimal surfaces (TPMSs). …”
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Advanced evaluation of performance of machine learning models for soapstock splitting optimisation under uncertainty by Bartosz Szeląg, Krzysztof Barbusiński, Michał Stachura, Przemysław Kowal, Adam Kiczko, Eldon R. Rene

“…The objective was to evaluate and select the modeling approaches based on (i) data availability, (ii) model complexity, (iii) predictive accuracy, and (iv) sensitivity to input uncertainty. …”
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IoT-Edge Hybrid Architecture with Cross-Modal Transformer and Federated Manifold Learning for Safety-Critical Gesture Control in Adaptive Mobility Platforms by Xinmin Jin, Jian Teng, Jiaji Chen

“…The system maintains industrial-grade safety certification with energy-efficient computation. Bridging adaptive mechanics with edge intelligence, this research pioneers a sustainable IoT-edge paradigm for smart mobility, harmonizing real-time responsiveness, ecological sustainability, and scalable deployment in complex urban ecosystems.…”
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Multi-layer robotic controller for enhancing the safety of mobile robot navigation in human-centered indoor environments by Karameldeen Omer, Karameldeen Omer, Andrea Monteriù

“…The “online” control layer integrates a human-in-the-loop strategy, where the human operator detects missing obstacles or approaching danger through a user interface and sends a trigger to the robot’s controller. …”
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Effects of psychological interventions on anxiety in athletes: a meta-analysis based on controlled trials by Houchen Li, Qingqiong Yang, Bin Wang

“…ObjectivesAnxiety is a prevalent psychological challenge in elite sports and complex training environments. This meta-analysis systematically evaluated the effects of psychological interventions on athletes’ anxiety levels.MethodsA systematic review and meta-analysis were conducted in accordance with PRISMA guidelines. …”
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Butterfly magnetoreception based neighbour awareness strategy protocol for autonomous aerial vehicles by Janjhyam Venkata Naga Ramesh, C. Dastagiraiah, Suraya Mubeen, W. Deva Priya, M. Kameswara Rao, B. H. K. Bhagat Kumar

“…It achieves superior obstacle avoidance, faster reaction times, and enhanced operational efficiency. Overall, the proposed NAS protocol enables AAVs to maintain optimal orientation during flight, adjust heading based on environmental inputs, coordinate swarm movements, and navigate complex three-dimensional spaces effectively.…”
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Quantum-Inspired Hyperheuristic Framework for Solving Dynamic Multi-Objective Combinatorial Problems in Disaster Logistics by Kassem Danach, Hassan Harb, Louai Saker, Ali Raad

“…Disaster logistics presents a highly complex decision-making challenge under conditions of uncertainty, where the timely and efficient allocation of scarce resources is essential to minimize human suffering. …”
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Enhanced Workload Prediction in Data Centers Using Two-Stage Decomposition and Hybrid Parallel Deep Learning by Dalal Alqahtani, Hamidreza Imani, Tarek El-Ghazawi

“…Workload prediction is one of the most basic requirements in developing cost and energy-efficient Cloud Data Centers (CDCs). Most traditional approaches have suffered from noise and failed to capture the complex dynamic patterns in workload data, reducing their accuracy. …”
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Relationships between egg-recognition and egg-ejection in a grasp-ejector species. by Manuel Soler, Francisco Ruiz-Raya, Gianluca Roncalli, Juan Diego Ibáñez-Álamo

“…Brood parasitism frequently leads to a total loss of host fitness, which selects for the evolution of defensive traits in host species. …”
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An Innovative Green Dust Suppressant for Dry Climate Mining Areas in a Copper–Nickel Mine: Integration of Moisture Retention and Erosion Resistance by Zijun Li, Zhe Zhou, Yu Xu, Yin Chen

“…While dust suppressants are more efficient than the commonly used sprinkling methods in mines, traditional single-function dust suppressants are inadequate for the complex application environment of mine ramps. …”
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A minimized symbiotic gene set from the 1.68 Mb pSymB chromid of Sinorhizobium meliloti reveals auxiliary symbiotic loci by Jason V. S. Kearsley, Barney A. Geddes, George C. diCenzo, Maryam Zamani, Turlough M. Finan

“…We further established a 673-kb pSymB genome that engages consistently in N2-fixation with alfalfa with 45% efficiency. Conclusions The reduction of the pSymB genome showcases the complexity and nuance of its involvement in the N2-fixing symbiosis.…”
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Parents\' lived experience of parenting challenges after divorce: A phenomenological study by Roya Hamidi, Sedigheh Ahmadi, Hassan Heydari

“…A total of 16 individuals actively engaged in parenting following divorce were selected as research participants. These participants were recruited through purposeful sampling, ensuring maximum diversity, and were drawn from individuals referred to Family Court Complex 1 in Tehran. …”
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Advances in machine transliteration methods, limitations, challenges, applications and future directions by A’la Syauqi, Aji Prasetya Wibawa

“…Using the PRISMA framework, this review analyzes 73 selected studies on machine transliteration, covering both methodological advancements and its role in NLP applications. …”
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Screening and Validation: AI-Aided Discovery of Dipeptidyl Peptidase-4 Inhibitory Peptides from Hydrolyzed Rice Proteins by Cheng Cheng, Huizi Cui, Xiangyu Yu, Wannan Li

“…Peptides generated by simulated enzymatic hydrolysis were screened based on machine learning and docking scores, and four proline-rich peptides (PPPPPPPPA, PPPSPPPV, PPPPPY, and CPPPPAAY) were selected for MD analysis. The simulation results showed that PPPSPPPV formed a stable complex with the DPP-4 catalytic triad (Ser592–Asp670–His702) through electrostatic and hydrophobic interactions, with low structural fluctuation (RMSF < 1.75 Å). …”
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An Optimal Integral Fast Terminal Synergetic Control Scheme for a Grid-to-Vehicle and Vehicle-to-Grid Battery Electric Vehicle Charger Based on the Black-Winged Kite Algorithm by Ishak Aris, Yanis Sadou, Abdelbaset Laib

“…The management of power flow in both directions is highly complex and sensitive, which requires employing a robust control scheme. …”
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Integrating Metaheuristics and Machine Learning for Enhanced Vehicle Routing: A Comparative Study of Hyperheuristic and VAE-Based Approaches by Kassem Danach, Louai Saker, Hassan Harb

“…The VRP with prioritized customers introduces additional complexity by requiring efficient routing while ensuring high-priority customers receive service within strict constraints. …”
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Diffusion tensor imaging biomarkers for assessing cognitive and physical function in aging by Jungsoo Lee, Woohee Han, Hyunjin Kim

“…Distinct tract-function relationships were observed across physical and cognitive subdomains, emphasizing the complex and domain-specific roles of white matter in functional outcomes. …”
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Multiphysics Modeling and Performance Optimization of CO₂/H₂O Co-Electrolysis in Solid Oxide Electrolysis Cells: Temperature, Voltage, and Flow Configuration... by Rui Xue, Jinping Wang, Jiale Chen, Shuaibo Che

“…This multiscale simulation reveals the complex coupling mechanisms in SOEC co-electrolysis, offering theoretical foundations for developing efficient carbon-neutral technologies.…”
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