THERMOELECTRIC HEAT REMOVAL SYSTEM FOR THE OPERATIONAL STABILISATION OF HEAT PIPES IN A SYSTEM FOR PROVIDING THE THERMAL REGIME OF RADIO ELECTRONIC EQUIPMENT by S. A. Peredkov, R. K. Ramazanov, S. A. Yusufov

“…The use of an intermediate heat removal can significantly reduce the thermal load on the thermoelectric module with a slight decrease in the temperature driving force.…”
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An Improved Crop Disease Identification Method Based on Lightweight Convolutional Neural Network by Tingzhong Wang, Honghao Xu, Yudong Hai, Yutian Cui, Ziyuan Chen

“…In order to improve the training learning rate, Adam optimizer combining momentum algorithm and RMSprop algorithm is used to dynamically adjust the learning rate; the combination of the two algorithms makes the loss function converge to the lowest point faster. Then the feature map after each convolution is obtained by using transferred revolution, and the model is adjusted according to the feature map to further improve the effect of model recognition. …”
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ENERGY EFFICIENT DESALINATOR by Nikolaj V. Bekrenev, Dmitriy Yu. Lukov

“…The studies were carried out according to parametric optimisation of the converter taking into account the specific load types. A special feature of the generator's power supply is its versatility in terms of frequency and voltage ranges, as well as the required quality indicators of the energy generated. …”
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Fault Detection in Harmonic Drive Using Multi-Sensor Data Fusion and Gravitational Search Algorithm by Nan-Kai Hsieh, Tsung-Yu Yu

“…To enhance diagnostic accuracy, the research employs wavelet packet decomposition (WPD) and empirical mode decomposition (EMD) to extract multi-scale features from vibration signals. These features are subsequently fused, and GSA is used to optimize the high-dimensional fused features, eliminating redundant data and mitigating overfitting. …”
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Targeting of Extracellular Vesicle-Based Therapeutics to the Brain by Anastasia Williams, Heather Branscome, Fatah Kashanchi, Elena V. Batrakova

“…One of the most valuable features of EVs is their ability to cross physiological barriers, particularly the blood–brain barrier (BBB). …”
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Intestinal microbiota in obese children with non-alcoholic fatty liver disease depending on the gallbladder function by Yu. M. Stepanov, N. Yu. Zavhorodnia, O. M. Tatarchuk, I. A. Klenina, O. I. Hrabovska, E. V. Zyhalo, O. P. Petishko, N. S. Vishnarevska, V. V. Dolhopolova

“…Aim. To determine the features of the intestinal microbiota in obese children with non-alcoholic fatty liver disease (NAFLD) depending on the functional state of the gallbladder. …”
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Design and mechanical behavior of hyperbolic weaves with naturally curved ribbons by Guangkai Song, Bohua Sun

“…It was found that the failure modes of hyperbolic weave structure under vertical loading was the “ridge” buckling of the structure. …”
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DESIGN AND CREATION OF A COMMERCIAL WEBSITE – PRACTICAL SOLUTION FOR ELECTRONIC COMMERCE by Elena COFAS

“…The website features a modularized structure, consisting of administration, authentication, payment, and order launch/cancellation modules. …”
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Investigation of Effectiveness of Some Vibration-Based Techniques in Early Detection of Real-Time Fatigue Failure in Gears by Hasan Ozturk, Isa Yesilyurt, Mustafa Sabuncu

“…Gear fatigue damage is achieved under heavy-loading conditions and the gearbox is allowed to run until the gears suffer badly from complete tooth breakage. …”
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Damage localization of closing cracks using a signal decomposition technique by J. Prawin, A. Rama Mohan Rao

“…Fatigue cracks are a common occurrence in engineering structures subjected to dynamic loading and need to identify at its earliest stage before it leads to catastrophic failure. …”
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Gradient enriched linear-elastic crack tip stresses to estimate the static strength of cracked engineering ceramics by Harm Askes, Luca Susmel

“…According to Gradient Mechanics (GM), stress fields have to be determined by directly incorporating into the stress analysis a length scale which that takes into account the material microstructural features. This peculiar modus operandi results in stress fields in the vicinity of sharp cracks which are no longer singular, even though the assessed material is assumed to obey a linear-elastic constitutive law. …”
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Synthesis of Isoxazol-5-One Derivatives Catalyzed by Amine-Functionalized Cellulose by Sanaz Gharehassanlou, Hamzeh Kiyani

“…Attempts to find the optimal catalyst loading clearly showed that 14 mg of cell-Pr-NH₂ seems to be sufficient to carry out the reactions. …”
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Single source self balanced switched capacitor based singe phase nine level inverter by Surya Natarajan, AjithKumar G

“…The solution for this is to provide isolation between load and source. The proposed single phase switched capacitor multilevel inverter possess the feature of virtual isolation between the load and the source. …”
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Imitation model of earthmoving machinery workflow with automatic system of cylinder engine deactvate by S. S. Zhuravlev, K. V. Zubarev

“…The article considers the simulation model of workflow Earthmoving machinery, feature of the model is the presence of an automatic system cylinders deactivate of the engine depending on operating the machine load detail components of the model, obtained by simulation data built waveform, their analysis, evaluated the impact of the deactivated of cylinders in the working process of the unit.…”
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Application of dry electrodes in supercapacitors and lithium-ion batteries by Guolei ZHANG, Keliang ZHANG, Yabin AN, Chen LI, Guanwei LIU, Xianzhong SUN, Changzhou YUAN, Kai WANG, Xiong ZHANG, Yanwei MA

“…It begins with outlining the preparation methods, characteristics, and distinct features of dry electrode processes and then discusses in detail the research progress and applications of the technology in supercapacitors and lithium-ion batteries, including advancements in electrode loading and electrochemical performance. …”
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Data efficiency assessment of generative adversarial networks in energy applications by Umme Mahbuba Nabila, Linyu Lin, Xingang Zhao, William L. Gurecky, Pradeep Ramuhalli, Majdi I. Radaideh

“…In energy demand forecasting, wGAN performed well for solar, wind, and load predictions. Longer lookback hours and larger datasets improved predictions, especially for load power. …”
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Remaining Useful Life Prediction of Rolling Bearings Based on an Improved U-Net and a Multi-Dimensional Hybrid Gated Attention Mechanism by Hengdi Wang, Aodi Shi

“…In practical scenarios, rolling bearing vibration signals suffer from detail loss, and information loss occurs during feature dimensionality reduction and fusion, leading to inaccurate life prediction results. …”
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Knowledge-data-driven power flow calculation for lowvoltage active distribution network considering gray data by LIU Siliang, ZHENG Zenan, ZHANG Yongjun, YI Yingqi, CHI Yuquan

“…To address this, we propose a hybrid method integrating physical knowledge with data-driven techniques. The input-output feature vectors of the deep learning model are constructed based on the DistFlow model, where the head-end node voltage, photovoltaic (PV) output, and load power at user nodes serve as input features, and the voltage magnitude at user nodes is the output feature. …”
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Optimization of a multi-environmental detection model for tomato growth point buds based on multi-strategy improved YOLOv8 by Jiang Liu, Jingxin Yu, Changfu Zhang, Huankang Cui, Jinpeng Zhao, Wengang Zheng, Fan Xu, Xiaoming Wei

“…Three key innovations address YOLOv8’s limitations: (1) an SE attention module boosts feature representation in cluttered environments, (2) GhostConv replaces standard convolution to reduce computational load by 19% while preserving feature discrimination, and (3) a scale-adaptive WIoU_v2 loss function optimizes gradient allocation for variable-quality data. …”
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YOLO-BCD: A Lightweight Multi-Module Fusion Network for Real-Time Sheep Pose Estimation by Chaojie Sun, Junguo Hu, Qingyue Wang, Chao Zhu, Lei Chen, Chunmei Shi

“…The proposed architecture employs a multi-level lightweight design incorporating enhanced feature fusion mechanisms and spatial-channel attention modules, effectively improving detection performance in complex farm environments with occlusions and variable lighting. …”
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