Enhancing Building Thermal Performance: A Review of Phase Change Material Integration by Khaled Alassaad, James Minto, Pieter de Wilde

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Artificial intelligence in language learning: biometric feedback and adaptive reading for improved comprehension and reduced anxiety by Hang Yuan

“…Abstract This study investigates the efficacy of an AI-enhanced reading platform in enhancing reading comprehension and influencing psychological variables such as motivation, anxiety, and cognitive load among second language (L2) learners. …”
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Data-Driven Pavement Performance: Machine Learning-Based Predictive Models by Mohammad Fahad, Nurullah Bektas

“…This study utilizes a range of machine learning algorithms, including linear regression, decision tree, random forest, gradient boosting, K-nearest neighbour, Support Vector Regression, LightGBM and CatBoost, to analyse their effectiveness in predicting pavement performance. The input variables include axle load, truck load, traffic speed, lateral wander modes, asphalt layer thickness, traffic lane width and tire types, while the output variables consist of number of passes to fatigue damage, number of passes to rutting damage, fatigue life reduction in number of years and rut depth at 1.3 million passes. …”
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Modeling and Evaluation of an Energy-Saving Backpack with Adjustable Stiffness by Jiyuan Wu, Zhiquan Chen, Yinglong Zhang, Xingsong Wang

“…Under the experimental conditions of a load of 12 kg and variable walking speeds, the backpack achieves a minimum reduction of 8.6% in the root mean square (RMS) value of gastrocnemius muscle activation. …”
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The impact of process parameters on the responses of a diesel engine running on biodiesel-diesel blend: An optimization study by Sarah Oluwabunmi Bitire, Tien-Chien Jen

“…Furthermore, for the tested engine, the engine speed was determined to be the most significant variable (with the most influence) when compared to the engine load and fuel blend. …”
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Robust optimization for smart demand side management in microgrids using robotic process automation and grey wolf optimization by Bin Chen, Zeke Li, Bijing Liu, Haiwei Fan, Qiutian Zhong

“…Key innovations include real-time load scheduling, demand response optimization, and integration of controllable and non-controllable loads, enhancing flexibility and efficiency. …”
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Impact analysis on distribution network due to coordinated electric ferry charging by Rajib Baran Roy, Sanath Alahakoon, Piet Janse Van Rensburg, Shantha Jayasinghe Arachchillage

“…The power flow analysis suggests that bus voltages rise by approximately 1%–1.5%, while load current consumption decreases by around 2%–2.5% compared to the base case with variable load. …”
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Development of Starter Inoculum for Controlled <i>Arabica</i> Coffee Fermentation Using Coffee By-Products (Pulp and Mucilage Broth), Yeast, and Lactic Acid Bacteria by Anna María Polanía Rivera, Jhennifer López Silva, Laura Sofía Torres-Valenzuela, José Luis Plaza Dorado

“…The findings demonstrated a significant reduction in the pH from 4.47 to 4.05 and in the °Brix from 15.8 to 8.45, indicating efficient organic acid production and sugar degradation. …”
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Real-Time Electrical Energy Optimization in E-Commerce Systems Based on IoT and Mobile Agents by Mohamed Shili, Sajid Anwar

“…Moreover, the proposed architecture achieved a reduction of up to 38.9% for response times for resource management, under load, while also demonstrating a 50% reduction in response time for real-time event handling. …”
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Holistic Hosting Capacity Enhancement Through Sensitivity-Driven Flexibility Deployment and Uncertainty-Aware Optimization in Modern Distribution Networks by Wenjie Pan, Jun Han, Chao Cai, Haofei Chen, Hong Liu, Zhengyang Xu

“…The proposed approach integrates temporal sensitivity mapping with robust optimization techniques to prioritize resource allocation across high-sensitivity nodes, addressing uncertainties in renewable energy generation and load demand. By leveraging a dynamic interaction between sensitivity scores and temporal system conditions, the framework achieves efficient and resilient operation under extreme variability scenarios. …”
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Elevator Control Simulation Using Fuzzy Logic Management by Mehr Ali Qasimi, Asmatullah Nashir

“…These consist of load capacity, priority, distance, and average waiting time (AWT). …”
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Development of Active CO2 Emission Control for Diesel Engine Exhaust Using Amine-Based Adsorption and Absorption Technique by Solomon Jenoris Muthiya, L. Natrayan, L. Yuvaraj, Mohankumar Subramaniam, Joshuva Arockia Dhanraj, Wubishet Degife Mammo

“…The experiments were performed in a single-cylinder diesel engine under variable load conditions. The eddy current dynamometer is used to apply appropriate loads on the engine based on the settings. …”
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Nonlinear evaluation of reliability-based topology optimization of concrete deep beams by Rodrigo Reis Amaral, Jorge Luis Palomino Tamayo, Liércio André Isoldi, Herbert Martins Gomes

“…The scope here is to conduct a comparative analysis between a reference deep beam from the literature and the optimized topologies to determine the ultimate strength capacity and assess how material reduction affects the failure mode and ultimate load. …”
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THE SELECTION OF GEOMETRIC CHARACTERISTICS FOR CIRCULAR MULTI-LAYERED PIEZOELECTRIC PLATES by O. V. Ratmanova, D. A. Shlyakhin

“…The solution is carried out by the method of finite integral transforms, using successively the Fourier – Bessel transform along the radial coordinate and the generalized transform along the axial variable. In this case, each time the standardization procedure is preliminarily performed (reduction of the boundary conditions to a form, which allows to apply the corresponding transformation).Result. …”
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Research on Coupling Heating under Varying Duty Based on the In-Depth Cascade Utilization of Heat Energy by Jiafei QIAO, Zhanwei LIANG, Lei ZHANG, Shunsen WANG

“…Regardless of different coupled heating methods implemented, the thermal efficiencies all decrease with the load increase at unit one, while they all increase with the load increase at unit three, and the unit thermal efficiencies vary from 63% to 80%. …”
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Optimal multi-objective energy management of decentralized demand response incorporating uncertainties. by Alireza Norouzpour Shahrbejari, Mohammad Hadi Eskandari Sani, Mehdi Zareian Jahromi, Elnaz Yaghoubi, Elaheh Yaghoubi, Mohammad Reza Maghami

“…This paper proposes a novel method for optimizing energy consumption in power networks by integrating stochastic techniques to manage uncertainties and variable conditions. The findings show improved network efficiency and cost reduction, achieving a 15.62% decrease in voltage deviation, 37.08% reduction in load demand, 62.05% decrease in active losses, 81.25% reduction in reactive losses, and 33-45% reduction in Expected Energy Not Supplied (EENS).…”
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Shunt active power filter using model predictive control with stability guarantee by Jhon Pérez-Ramírez, Diego Montoya-Acevedo, Walter Gil-González, Oscar Danilo Montoya, Carlos Restrepo

“…The control strategy is applied to a shunt active power filter (SAPF) connected to a voltage source and a nonlinear load, aiming to suppress the harmonics demanded by the load while ensuring that the source current remains sinusoidal and balanced, with a total harmonic distortion (THD) within regulatory standards. …”
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Carbon management in massive electric vehicle temporal and spatial scheduling with automotive electronic forensics by Yongsheng Cao, Yihong Zhang, Caiping Zhao

“…The results demonstrate that the proposed two-layer optimization model reduces total operational costs by 22.8% compared to the ACM-PSO model, while achieving a 4.3% improvement in peak-valley difference reduction, effectively enhancing load balancing. These results highlight the economic and operational advantages of the proposed strategy, particularly in addressing challenges like peak load management and network efficiency. …”
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Multivariate Analysis of Microbiological and Incubation Parameters in Hatching Eggs Sanitized with or Without Essential Oils by Gabriel da Silva Oliveira, Concepta McManus, Vinícius Machado dos Santos

“…The bacterial load of hatching eggs contributes to reduced productivity, reaffirming the need for proper egg sanitization, especially using essential oils.…”
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Multi objective moth swarm algorithm for optimizing electric vehicle integration in distribution grids by Masoumeh Azadikhouy

“…Traditional optimization methods often address these issues in isolation, failing to balance the complex, multi-objective nature of modern grids with high EV penetration and renewable variability. This paper proposes a mixed-integer multi-objective optimization framework to simultaneously minimize operational costs, energy losses, load shedding, and voltage deviations over a 24-hour horizon. …”
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