Optimal Thermal Output of an Absorption Heat Pump with Steam Heating Integrated in a PT-60/70-130/13 Steam Turbine by Oleksandr L. Shubenko, Viktoriia O. Tarasova, Mykola Yu. Babak, Oleksii Yu. Boiarshynov

“…For all considered options of the turbine load, the optimal power of the integrated AHP is defined as 20 MW. …”

Experimental Study of Compression Behavior on Monolayer FFF Samples by Moises Batista, Pedro F. Mayuet Ares, Juan Manuel Vazquez-Martinez, Christiane Droste-Wendt

“…However, ensuring the mechanical reliability of these components, particularly for load-bearing purposes, requires systematic mechanical testing of well-designed specimens to asses their suitability. …”
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Resting‐State Functional Connectivity of Sensorimotor and Default Mode Networks and Lower Limb Performance in Chronic Stroke: A Cross‐Sectional Study by Svetlana Pundik, Margaret M. Skelly, Jessica P. McCabe, Ahlam I. Salameh, Trenley Anderson, Kelsey Rose Duncan, Terri Hisel, Sarah J. A. Carr

“…Non‐homologous interhemispheric ROI‐to‐ROI connectivity was featured in the analysis. Graph theory analysis demonstrates the complex role that an individual ROI has in relation to sensorimotor function of lower extremity. …”
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Energy absorption and mechanical performance of kenaf yarn/fibreglass mesh/acrylonitrile butadiene styrene composites: Influence of mesh density by Mohamad Yusuf Salim, Muhamad Fauzi Muhammad Fitri, Muhammad Asyraf Muhammad Rizal, Rushdan Ahmad Ilyas, Mohd Haziq Dzulkifli, Shukur Abu Hassan, Abu Bakar Mohd Supian, Muhammad Rizal Razman

“…The experimental results showed that the KGRP-5 composite, featuring the 5 mm mesh, demonstrated superior resistance to indentation, withstanding a load of 3403.8 N. …”
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A New PWM Technique With Single Phase Switched-Capacitor High-Gain Multilevel Inverter for Photovoltaic Applications by Oorappan G. Murugan, Sivaraman Pandarinathan, S. A. Lakshmanan, C. Dhanamjayulu, S. M. Muyeen

“…Moreover, experimental results confirm the efficacy of the MLI across diverse scenarios, linear and nonlinear loads, as well as dynamic testing conditions for harnessing Photovoltaic (PV) power. …”
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Power generation allocation of cyber–physical power systems from a defense–attack–defense perspective by Zhengcheng Dong, Meng Tian, Mian Tang, Jiaqi Liang

“…Cyber–physical power systems have emerged as intelligent devices integrate into traditional power systems. These systems, featuring an integration of the physical and cyber components, are exposed to compounded risks from both realms. …”
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An electronic gear concept for optimized efficiency operation of automotive converters by Tanya Thekemuriyil, Munaf T.A. Rahimo, Silvia Mastellone, Renato Amaral Minamisawa, Thiago Batista Soeiro

“…A detailed analysis of the AHS converter featuring the E-Gear mechanism is performed in this paper. …”
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Optimizing Solar Radiation Prediction Based on The Internet of Things Platform in Photovoltaic Power Plant by Neda Ashrafi Khozani, Maryam Mahmoudi, Shabnam Nasr Esfahani

“…Accurate prediction of this parameter is crucial for dispatching and load management planning. Managers and designers encounter economic and managerial challenges due to the uncertainty and difficulty in predicting solar radiation levels. …”
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Risk factors of hospital mortality in patients with TB/HIV co-infection confined in the penitentiary system by M. E. Vostroknutov, E. V. Dyuzhevа, A. V. Kuznetsovа, O. V. Senko

“…For statistical data processing, machine learning methods were used based on the optimal splitting of feature space. To determine the significance coefficients of the identified risk factors, the artificial neural network method was used. …”
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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 this paper, the impact of these attacks on DL models is analyzed by employing the use of defensive countermeasures such as Adversarial Training, Gaussian Augmentation, and Feature Squeezing, to investigate vulnerabilities in industrial control systems with potentially disastrous real-world impacts. …”
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A Scalable Data-Driven Surrogate Model for 3D Dynamic Wind Farm Wake Prediction Using Physics-Inspired Neural Networks and Wind Box Decomposition by Qiuyu Lu, Yuqi Cao, Pingping Xie, Ying Chen, Yingming Lin

“…A physics-inspired NN architecture featuring an autoencoder for spatial feature extraction and latent space dynamics for temporal evolution is introduced, motivated by the time–space decoupling structure observed in the Navier–Stokes equations. …”
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Topology and fiber path optimization of composite structures: A critical review by Shuya Nozawa, Gokhan Serhat

“…The paper also covers experimental results as another rare feature. The advantages and shortcomings of the investigated methods are discussed considering various aspects including effectiveness, ease of use, computational cost, versatility, robustness, and suitability for manufacturing. …”
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Optimization Design of Diaphragm Profile based on Kriging Model by Geng Hu, Zhigang Chen, Ding Zhang

“…After analyzing the structure of the diaphragm profile and the feature of the high-cycle fatigue stress for the diaphragm under various loads，the sample data of the high-cycle fatigue safety factors for groups of diaphragm profile parameters （including outside/inside radius ratio，profile index and minimum thickness） are obtained，and an initial Kriging model is then constructed on the basis of these sample data. …”
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Intelligent Fault Severity Detection of Rotating Machines Based on VMD-WVD and Parameter-Optimized DBN by Ning Jia, Yao Cheng, Youyuan Tian, Feiyu Yang

“…Finally, the input samples are loaded into a DBN that has the best structure for detecting severity. …”
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THE METOD OF SYNTHESIS OF QUASI-DUAL-BAND MATCHING DEVICE by M. A. Yantsevich, H. A. Filipovich

“…Such way offrequency response assignment allows the potential of the method, which is always restricted by a load, to find broader application. In these conditions the frequency response turns to a quasi-double and asymmetrical one due to finite isolation between bands. …”
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Performance comparison of machine learning algorithms for condition monitoring of tapered roller bearings by Harshal Aher, Nilesh Ghuge

“…Kurtosis was extracted as the sole feature from the vibration signals for fault classification. …”
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Mechanical Properties of Full-Scale Prestressed Concrete Beams with Thin Slab after Exposure to Actual Fire by Chaowei Hao, Yanjiang Chen, Yu Tang, Laiyong Wang

“…By combining with the finite element simulation and theoretical analysis, the ultimate bearing capacity, complex mechanical characteristics, and breakage feature and failure mechanism of such beams were studied. …”
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Network reconfiguration and optimal distributed generations allocation with whale optimizer algorithm by Ahmadreza Abdollahi Chirani

“…In this paper, the  forward-backward load flow technique is employed due to its easy implementation, quick and reliable convergence. …”
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OCV Hysteresis in Li-Ion Batteries including Two-Phase Transition Materials by Michael A. Roscher, Oliver Bohlen, Jens Vetter

“…The relation between batteries' state of charge (SOC) and open-circuit voltage (OCV) is a specific feature of electrochemical energy storage devices. …”
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Process compatibility analysis for hybrid electrochemical removal and accretion towards a multifunctional machine-tool: An application-oriented approach by Muhammad Hazak Arshad, Anton Peeters, Xiaolei Chen, Dominiek Reynaerts, Krishna Kumar Saxena

“…The air column at 1.1 bar improved process localisation by reducing the ECAM feature width by 60 % in comparison to no air-confinement (0 bar). …”
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