A Green Computing Business Aggregation Strategy for Low Earth Orbit Satellite Networks by Bo Wang, Jiaqi Lv, Dongyan Huang, Zelin Lu, Yuhang Fang

“…These results highlight the proposed strategy’s ability to effectively balance energy efficiency and delay, showcasing its adaptability and suitability for sustainable operations in LEO satellite networks under varying traffic loads.…”
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A review on mechanical, water-soaking, thermal, and wear properties of nanoclay-polyester nanocomposites by M. C. Gowrishankar, Manjunath Shettar, Patcharapon Somdee, Nikhil Rangaswamy, Ganesh R. Chate

“…Water uptake significantly decreases with nanoclay addition, owing to its ability to create tortuous paths that hinder water diffusion. …”
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Development of an experimental setup for propeller performance measurements by Pugna Andreea, Hrab Călin, Hînsa Liviu-Nicolae, Hopârtean Andrei, Giurgea Corina-Maria, Marcu Lucian

“…By testing two commercial propellers—a two-blade and a three-blade design—the setup demonstrates its ability to analyze thrust and efficiency trends effectively. …”
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Distributed dynamic event-triggered time-varying resource management for microgrids via practical predefined-time multiagent methods by Tingting Zhou, Salah Laghrouche, Youcef Ait-Amirat

“…A novel TV resource management model is introduced, explicitly accounting for dynamic constraints and demand variations to ensure real-time resource allocation while effectively handling load fluctuations and renewable energy variability. …”
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Friction and wear behaviors of MoS2-multi-walled-carbonnanotube hybrid reinforced polyurethane composite coating by Zhaozhu Zhang, Mingming Yang, Junya Yuan, Fang Guo, Xuehu Men

“…The outstanding tribological performance of the MoS2-MWCNT-1 reinforced polyurethane composite coating was attributed to the excellent load-carrying capacity of the MWCNTs and good lubricant ability of MoS2. …”
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Deep Learning Model on Energy Management in Grid-Connected Solar Systems by V. Senthil Nayagam, A. P. Jyothi, P. Abirami, J. Femila Roseline, M. Sudhakar, Essam A. Al-Ammar, Saikh Mohammad Wabaidur, N. Hoda, Asefa Sisay

“…Because of increased electricity consumption and the inherent limitations of fossil fuel ability to replenish themselves in the future, a shift to renewable energy sources is unavoidable. …”
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Energy management in networked microgrids: A comparative study of hierarchical deep learning and predictive analytics techniques by Nima Khosravi, Adel Oubelaid, Youcef Belkhier

“…The management of renewable energy is one of the most important areas in the ability to use resources efficiently and ensure stability in the production of energy and the grid. …”
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Control Strategy of Islanded AC/DC Hybrid Microgrid Power System Based on Adaptive Segmented Double-Droop by MI Yang, GU Fuyike, LI Chunxu, BAO Wei, YAN Yuehao, LIU Xiaohui, YANG Yanan

“…Second，to plan the operating mode of the bidirectional AC/DC converter reasonably，the load states of the AC and DC subnets are divided. …”
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Improvement of the Dynamic Response of Robust Sliding Mode MPPT Controller-Based PSO Algorithm for PV Systems under Fast-Changing Atmospheric Conditions by Dieudonné Marcel Djanssou, Abdouramani Dadjé, Ahmat Tom, Noël Djongyang

“…Efficiency of the proposed hybrid algorithm is proved by using a Solarex MSX-60 module connected to a step-up DC-DC converter supplying a resistive load. The performances are compared to the conventional perturb and observe technique (P&O), PSO, CUCKOO, grey wolf optimization (GWO), and Whale Optimization Algorithm (WOA) in terms of convergence speed, i.e., 0.05 s, tracking speed after extreme change in irradiance 0.03 s, high Ability to track large changes in power before 1 s. …”
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Trustworthiness of Deep Learning Under Adversarial Attacks in Power Systems by Dowens Nicolas, Kevin Orozco, Steve Mathew, Yi Wang, Wafa Elmannai, George C. Giakos

“…In power grids, DL models such as Convolutional Neural Networks (CNNs) and Long Short-Term Memory (LSTM) networks are commonly utilized for tasks like state estimation, load forecasting, and fault detection, depending on their ability to learn complex, non-linear patterns in high-dimensional data such as voltage, current, and frequency measurements. …”
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A Survey of Machine Learning Techniques for Optimal Capacitor Placement and Sizing in Smart Distribution Networks by Kwabena Addo, Katleho Moloi, Musasa Kabeya, Evans Eshiemogie Ojo

“…Traditional optimization techniques, while effective, often struggle with dynamic system behaviors, nonlinear loads, and real-time operational constraints. This paper presents a comprehensive review of machine learning (ML)-based methodologies for optimal capacitor placement and sizing, focusing on their ability to enhance voltage stability, minimize power losses, and improve overall grid efficiency in smart distribution networks. …”
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Development of a Compliant Pediatric Upper-Limb Training Robot Using Series Elastic Actuators by Jhon Rodriguez-Torres, Paola Niño-Suarez, Mauricio Mauledoux

“…Series elastic actuators (SEAs) represent a key technological solution to enhance safety, performance, and adaptability in robotic devices for physical training. Their ability to decouple the rigid actuator’s mechanical impedance from the load, combined with passive absorption of external disturbances, makes them particularly suitable for pediatric applications. …”
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Low-Cost Strain-Gauge Force-Sensing Sidestick for 6-DoF Flight Simulation: Design and Human-in-the-Loop Evaluation by Patrik Rožić, Milan Vrdoljak, Karolina Krajček Nikolić, Jurica Ivošević

“…The system utilizes four strain-gauge load cells to capture pure pilot force inputs, integrated with a 6-DoF non-linear flight model. …”
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Seismic Performance Evaluation of a Frame System Strengthened with External Self-Centering Components by Yulin Fan, Jiaye Song, Xuelu Zhou, Hang Liu

“…Installing prefabricated beams significantly enhances the load-bearing capacity by 18% and reduces the residual deformation rates after earthquakes by 26%. …”
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Binary Tree Blockchain of Decomposed Transactions by Davut Çulha

“…Binary trees offer several advantages, such as the ability to address nodes with binary numbers, providing a straightforward and efficient method for identifying and locating nodes. …”
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Improving Wind Turbine Gearbox Reliability: A Hybrid Deep Learning Approach Using Bispectrum Image Analysis by Muhammad Zacky Asy'Ari, Jun Kondoh, Benyamin Kusumoputro

“…Wind turbine gearboxes are widely used in wind power plants, whose operating conditions are characterized by fluctuating wind speeds and loads, introducing noise and complexity into vibration signals, complicating accurate fault diagnosis in wind turbine components. …”
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JPEG reversible data hiding method based on optimal DCT frequency embedding by Ziyang ZHOU, Yun TAN, Jiaohua QIN, Xuyu XIANG

“…Joint photographic experts group (JPEG) images are widely used on the Internet due to their ability to maintain good picture quality while requiring less storage space.Reversible data hiding (RDH) techniques for JPEG images enable the hiding and extraction of secret information while allowing for lossless restoration of the original image.RDH is of great significance in file management and image authentication.However, many existing RDH methods result in a significant increase in the storage space of the encoded image after embedding secret information.For methods based on discrete cosine transform (DCT) coefficient embedding, the key issue that affects the performance of reversible information hiding in JPEG images is how to select the frequency band position.A reversible information hiding method for JPEG images was proposed, based on optimal DCT frequency embedding.The entropy decoded JPEG image was divided into 8×8 non-overlapping DCT blocks.The average texture complexity of each DCT block was calculated and ordered in ascending order.Then the alternating current (AC) in adjacent DCT blocks was paired pairwise.By satisfying the capacity of the information to be embedded, the optimal AC coefficient frequency position set was obtained from the distortion cost function of the AC coefficient frequency.The secret information was embedded according to the designed two-dimensional histogram mapping strategy.Experimental results demonstrate that the proposed method can reduce the expansion of the loaded image file’s storage size compared to existing methods, while maintaining good visual quality of the cover image.…”
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Removal of Aniline from Waste Streams Using a Combined Adsorption and Catalytic Oxidation Approach by J. O'Brien, T. Curtin, T.F. O'Dwyer

“…Initially, an H-ZSM-5 zeolite was loaded with copper via an ion-exchange process to enhance its catalytic activity. …”
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Discovery of re-purposed drugs that slow SARS-CoV-2 replication in human cells. by Adam Pickard, Ben C Calverley, Joan Chang, Richa Garva, Sara Gago, Yinhui Lu, Karl E Kadler

“…Here, using a nano-luciferase tagged version of the virus (SARS-CoV-2-ΔOrf7a-NLuc) to quantitate viral load, we evaluated a range of human cell types for their ability to be infected and support replication of the virus, and performed a screen of 1971 FDA-approved drugs. …”
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Economic Analysis of Water Treatments for Phosphorus Removal in Florida by Daisuke Sano, Alan Hodges, Robert Degner

“… Excessive phosphorus loads in urban and agricultural runoff are identified as one of the greatest threats to the natural environment of Central and South Florida. …”
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