Clinical and molecular description of natural infections with an Asian strain of lumpy skin disease virus in Bos indicus by Widi Nugroho, Estu Widodo, Michael Philipp Reichel, Sidna Artanto, Rossa Qalbiya Ariani, Aliakbar Khabiri, Majed Hameed Mohammed, Farhid Hemmatzadeh

“…This study reports on the clinical, serological and molecular features of natural infections with LSDV in B. indicus during the first outbreak in Yogyakarta, Indonesia, 2023. …”
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Clinical features of HAdV-55 in children with respiratory tract infections: a retrospective case series and literature review by Lifen Rao, Yueqiang Fu, Ying Lu, Jianhua Wei, Zhongying Yang, Mengling Qi, Chengjun Liu, Yushun Wan, Enmei Liu, Na Zang

“…Search terms included “HAdV-55”, “HAdV-11a”, “adenovirus type 55” and their derivatives. Clinical features were evaluated in conjunction with literature on HAdV-55 infections in children. …”
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Clinical Relevance of Different Loads of Perivascular Spaces According to Their Localization in Patients with a Recent Small Subcortical Infarct by Caterina Sozzi, Carla Brenlla, Inés Bartolomé, Andrés Girona, Emma Muñoz-Moreno, Carlos Laredo, Alejandro Rodríguez-Vázquez, Antonio Doncel-Moriano, Salvatore Rudilosso, Ángel Chamorro

“…We analyzed the Pearson’s correlation coefficients between PVS regional loads. We used normalized PVS measures to assess the associations with clinical and MRI-SVD features (white matter hyperintensities (WMHs), number of lacunes, and microbleeds) in univariable and multivariable linear regressions adjusted for age, sex, and hypertension. …”
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Investigation the dielectric strength and mechanical features of nitrile butadiene rubber enhanced by different nanoparticles by El-Sayed M. El-Refaie, L.S. Nasrat, M. Kh. Mohamed, I.A. Ibrahim

“…To investigate the dielectric strength and mechanical features of modified nitrile butadiene rubber (NBR), titanium dioxide (TiO2) and magnesium oxide (MgO) nanoparticles have been used. …”
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Fuel element cladding state change mathematical model for a WWER-1000 plant operated in the mode of varying loading by S. N. Pelykh

“…Main features of a fuel element cladding state change mathematical model for a WWER-1000 reactor plant operated in the mode of varying loading are listed. …”
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Anthocyanin-loaded complexes of glycated dual milk-derived proteins: thermal stability, storage stability, and simulated digestion by Shuangshuang Wang, Zhenzhu Li, Qingshuang Qiu, Huilin Lv, Haokun Zhang, Hang Wang, Rongzu Nie, Wupeng Ge, Peifeng Li

“…Scanning electron microscopy (SEM) analysis revealed that the surface of Complex III displayed an increased overall size and distinct morphological features, characterized by a uniform, regularly spherical shape with a relatively smooth texture. …”
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A Super-Resolution-Based Feature Map Compression for Machine-Oriented Video Coding by Jung-Heum Kang, Muhammad Salman Ali, Hye-Won Jeong, Chang-Kyun Choi, Younhee Kim, Se Yoon Jeong, Sung-Ho Bae, Hui Yong Kim

“…Especially, compressing features has advantages in terms of privacy protection and computation off-loading. …”
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EFFECT OF MICROWAVE RADIATION ON STRENGTH CAPPED POLYMER COMPOSITION MATERIALS WITH LIGHTNESS PROTECTIVE RETAINED COATING LOW-CYCLE LOADING by I. V. Zlobina

“…Objectives The analysis of the features of application of fiber-reinforced polymer composite materials (PCM) of different nature in the structural elements of aviation technology and methods of increasing the strength of their products. …”
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Features of the functional state of the enteropancreatic hormonal system in pregnant women with gestational diabetes mellitus by F. O. Ushanova, T. Y. Demidova, T. N. Korotkova

“…Features of the functional state of the enteropancreatic hormonal system in pregnant women with gestational diabetes mellitus© Fatima O. …”
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Research on 5G base station energy saving system based on DCNN-LSTM load prediction algorithm by Jianbin WANG, Shuchun WANG, Shangjin LIAO, Shuyuan SHI

“…With the rapid construction of the 5G wireless communication network, the energy consumption pressure of operators, and even the overall communication industry, is simultaneously highlighted.Achieving sustainable development of the industry through energy conservation and consumption reduction has become a new research direction for the current 5G network development.Taking the PRB rate as the load evaluation index, LSTM model was improved by using DCNN to extract the depth feature of the cell’s indicators.A set of DCNN-LSTM deep learning model that could predict the future value of PRB rate was proposed.On the basis of the improved algorithm, the network topology of the current 5G access network was optimized.An additional network element and its working system were designed.An intelligent energy-saving system, which ensured the network experience, of 5G base stations was realized.…”
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Reshaping Load-Dependent Mesh Excitation Waveforms of Spur Gears—An Analytical Framework on Tip Relief Modeling and Design by Xingyuan Zheng, Weidong Zhu, Gang Li, Yumei Hu

“…Tip relief is a critical design feature of modern spur gears, aimed at improving dynamic performance through a typical design strategy involving peak-to-peak minimization of mesh excitations. …”
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Tumor break load quantitates structural variant-associated genomic instability with biological and clinical relevance across cancers by Soufyan Lakbir, Renske de Wit, Ino de Bruijn, Ritika Kundra, Ramyasree Madupuri, Jianjiong Gao, Nikolaus Schultz, Gerrit A. Meijer, Jaap Heringa, Remond J. A. Fijneman, Sanne Abeln

“…We introduce tumor break load (TBL), defined as the sum of unbalanced SVs, as a measure for SV-associated genomic instability. …”
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REST Network: An Ensemble Deep Learning Approach for EV Charging Load Forecasting in Artificial Port Supply Chains by Elham Abdullah Alghamdi, Monagi Hassan Alkinani, Abdulwahab Ali Almazroi, Mohammed Alqarni, Eman Ali Aldhahri, Nasir Ayub

“…REST outperforms standard methods with a MAPE of 6.5%, an RMSE of 9.8 kW, and strong results across several custom metrics, including Energy Efficiency Error (3.2%), Load Variability Deviation (4.1%), Cost of Prediction Error (12.50), and Time-Aware Accuracy (92.3%). …”
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Load Forecasting Using BiLSTM with Quantile Granger Causality: Insights from Geographic–Climatic Coupling Mechanisms by Xianan Huang, Lin Liu, Nuo Xu, Yantao Chen, Xiaofei Wang, Zhenzhi Lin

“…Furthermore, the BiLSTM model is then constructed using the selected factors to generate load forecasts. Using real data from Fujian, China, we demonstrate that QGCT-based feature screening reduces forecasting errors by an average of 34.96%, where the RMSE, MAE and MAPE are 29.19%, 30.06% and 45.63%, respectively, thereby validating the necessity of causal factor selection. …”
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Assessment of Knot-Induced Degradation in Timber Beams: Probabilistic Modeling and Data-Driven Prediction of Load Capacity Loss by Peixuan Wang, Guoming Liu, Fanrong Li, Shengcai Li, Gabriele Milani, Donato Abruzzese

“…Finally, a predictive model based on a fully connected neural network is developed; feature analysis indicates that the longitudinal position of knots exerts a stronger nonlinear influence on load capacity than radial depth or diameter. …”
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Current Control in Field-Excited Flux Switching Machines: No-Load Induced Voltage Impact Based on the Winding Connection by Diogo P. V. Galo, Thales A. C. Maia, Braz de J. Cardoso Filho

“…Firstly, a comparison of the armature no-load induced voltage is made for field coils connected in both series and parallel. …”
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Charging Strategies for Electric Vehicles Using a Machine Learning Load Forecasting Approach for Residential Buildings in Canada by Ahmad Mohsenimanesh, Evgueniy Entchev

“…This could result in significant peak–valley differences in load in featured time slots, particularly during winter periods when EVs’ heating systems use increases. …”
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An Improved IoT Based Hybrid Predictive Load Forecasting Model for a Greenhouse Integrated With Demand Side Management by Soumya Ranjan Biswal, Tanmoy Roy Choudhury, Babita Panda, Subhrajyoti Mishra

“…Greenhouse farming enhances agricultural productivity but remains highly energy-intensive, requiring advanced energy management strategies to ensure sustainability. Traditional load forecasting and demand-side management (DSM) methods often fall short in adapting to the dynamic and highly variable environmental conditions within greenhouses. …”
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Gait Optimization Method for a Large Heavy Load Biped Robot Based on Particle Swarm Optimizer Algorithm by Huanhuan Ren, Xuanji Guo, Mingzhibo He, Chengshuai Ma, Chengzhi Su

“…In this paper, we present the innovative design of a highly robust bipedal robot featuring parallel legs and delve into its intricate gait planning strategy. …”
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The Structure Design of Single Locomotive Bearing-examining Machine by 李小勇, 曾承志, 宋辛晖, 王定晓

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