Interfacial behavior prediction and regulation on inclined superhydrophobic surfaces with transfer learning-assisted method by Yibin Liu, Konghua Yang, Yuchao Luo, Jiawei Xiong, Yunhong Liang, Zhihui Zhang, Chunbao Liu

“…The proposed method leverages knowledge learned from a source SHS to assist the interfacial behavior prediction for target SHSs, even when historical measurements are limited, without model performance degradation caused by data distribution discrepancies and insufficient target samples. …”
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VECTOR BOND GRAPH METHOD FOR UNIFIED MODELING AND SIMULATION OF JAW CRUSHER SYSTEM DYNAMICS by WANG ZhongShuang, ZHOU QianBin, SHI YongZhen

“…This lays a foundation for the optimal design of the structure and parameters of the crusher, and further shows that the method presented in this paper has distinct characteristics and advantages.…”
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Numerical simulation of heat distribution of silicon carbide growth by PVT method with inner rod by Jintao Xu, Pan Gao, Weiyi He, Shengnan Jiang, Xiuhong Pan, Chunjun Liu, Xuechao Liu

“…The physical vapor transport (PVT) method has been widely used in the growth of silicon carbide single crystals. …”
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A sonication-assisted method for the production of true-to-life nanoplastics from polymeric materials by Carlos Adelantado, Jasper Charlier, Nancy Dewit, Jan Jordens, Stefan Voorspoels, Kristof Tirez, Milica Velimirovic

“…The objective of this study is to develop and optimize a sonication-assisted method for degrading macroplastics and generating NPs from different real-life polymeric sources. …”
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Multidimensional Comprehensive Evaluation Method for Sonar Detection Efficiency Based on Dynamic Spatiotemporal Interactions by Shizhe Wang, Weiyi Chen, Zongji Li, Xu Chen, Yanbing Su

“…The detection efficiency evaluation of sonars is crucial for optimizing task planning and resource scheduling. The existing static evaluation methods based on single indicators face significant challenges. …”
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Factors influencing the effectiveness of SM-VCE method in solving 3D surface deformation by Xupeng Liu, Guangyu Xu, Mingkai Chen, Tengxu Zhang

“…The recovery of coseismic 3-dimensional (3D) surface deformation field plays a crucial role in studying seismic source characteristics and earthquake hazards. As of now, there are two main types of methods for recovering coseismic 3D surface deformations: the first type is to solve the problem directly by using the least squares method based on observations from three or more viewpoints, and the second type solves the problem by combining ascending and descending InSAR line-of-sight (LOS) observations with constraint models. …”
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Anhydrous microwave synthesis as efficient method for obtaining model advanced glycation end-products by Agnieszka Bronowicka-Szydełko, Katarzyna Madziarska, Aleksandra Kuzan, Łukasz Lewandowski, Joanna Adamiec-Mroczek, Jadwiga Pietkiewicz, Maciej Tota, Maciej Ziomek, Wojciech Stach, Tymoteusz Trocha, Marcin Piersiak, Maciej Pachana, Zuzanna Galińska, Andrzej Korpacki, Olgierd Dróżdż, Janusz Matuszyk, Małgorzata Mitkiewicz, Andrzej Gamian, Kinga Gostomska-Pampuch

“…This study investigates the synthesis of medium crosslinked AGEs (the most optimal form of AGEs because of soluble in water, used in many assays as markers) and their biochemical properties.MethodsOne of model protein–myoglobin from horse heart muscle (MB) and a chosen respective glycation factor – D-melibiose (mel), acrolein (ACR), D-glucose (glc), 4-hydroksynonenal (4HNE), trans-2-nonenal (T2N), methylglyoxal (MGO) – were subjected to high temperature water synthesis (HTWS) and high temperature microwave synthesis in anhydrous conditions (HTMS). …”
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Information Diffusion Interpolation Model Based on the PSO-CV Algorithm and Its Application on Source Regions of the Yellow River by HUANG Huaping, YIN Kaixia, JIN Gaoyang

“…The spatial interpolation based on the limited observation data of precipitation stations is an effective means to explore the spatial characteristics of precipitation.This paper briefly introduces a spatial interpolation model based on the information diffusion theory,proposes an optimal information diffusion interpolation model based on particle swarm optimization (PSO) and cross-validation (CV) with consideration of the disadvantages on key parameter estimation of existing experience information diffusion interpolation model,and evaluates the interpolation effect of the information diffusion interpolation model in terms of four time scales of year,quarter,month and day with inverse distance weighting,ordinary kriging method,universal kriging method and co-kriging method considering the elevation as comparison,taking the source regions of the Yellow River as an example.The results show that overall,the optimal information diffusion interpolation model has the highest accuracy,while the inverse distance weighting has the lowest accuracy.The accuracy of experience information diffusion interpolation model does not differ much from the other three spatial interpolation methods,and the accuracy differences between different methods decrease as the time scale decreases.…”
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Minimizing of Renewable Energy Sources Impact on the Energy System Operation by the Joint Use of Solar and Wind Generation by V. A. Liubchyk, S. V. Bystrykh, A. N. Kazak

“…The following tasks were set: on the basis of meteorological data, to calculate hourly energy generation by complexes of solar and wind power plants of various combinations of capacities for several years, analyze the generation and, if the hypothesis is confirmed, find the optimal ratio of capacities. In the course of the study, modeling methods and numerical methods for solving optimization problems were used, viz. the iteration method and the nonlinear least squares method. …”
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A Feasibility Study of a Virtual Power Line Device to Improve Hosting Capacity in Renewable Energy Sources by Seong-Eun Rho, Sung-Moon Choi, Joong-Seon Lee, Hyun-Sang You, Seung-Ho Lee, Dae-Seok Rho

“…In order to overcome these problems, this paper presents an introduction model and optimal capacity algorithm of a VPL (virtual power line) device, which is a virtual power line operation technology to manage the power system by operating an ESS installed at the coupling point of renewable energy source without additionally expanding the power system infrastructure in a conventional way; this paper also proposes an economic evaluation method to assess the feasibility of the VPL device. …”
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Research on accuracy enhancement methods for highway slope deformation monitoring based on the BeiDou system. by Yuhong Luo, Geyu Chen

“…Furthermore, through multi-source data fusion optimization, the improved positioning accuracy reached a 71.16% enhancement, and deformation monitoring accuracy was improved by 66.84%. …”
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Noise Analysis and Suppression Methods for the Front-End Readout Circuit of a Microelectromechanical Systems Gyroscope by Chunhua He, Yingyu Xu, Xiaoman Wang, Heng Wu, Lianglun Cheng, Guizhen Yan, Qinwen Huang

“…Therefore, it is essential to analyze and suppress the noises in the key analog circuits, which are the main noise sources. This study presents an optimized front-end readout circuit and noise suppression methods. …”
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Two-layer asynchronous distributed optimal voltage control for VSC-HVDC-connected large-scale wind farm clusters by Fuyan Liu, Feifan Shen, Pan Hu, HeSong Cui, Sheng Huang, Ji Zhang, Xia Ma, Kun He

“…This study proposes a two-layer asynchronous distributed optimal voltage control (TADOVC) scheme for voltage source converter high voltage direct current (VSC-HVDC)-connected large-scale wind farm clusters (WFCs). …”
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Optimization of Multi-Energy Grid Integration and Energy Storage in Low-Carbon Power Systems Based on the TCM-MBZOA Algorithm: A Case Study of Yunnan Province by Yang Li, Guoen Zhou, Jiaqi Xue, Junwei Yang, Shi Yin

“…To address this limitation, this paper proposes a multi-source coordinated optimization strategy based on a bi-level programming model and an improved tent chaotic mapping-memory backtracking zebra optimization algorithm (TCM-MBZOA). …”
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Sensitivity and optimization study on heat transfer enhancement of MHD hybrid nanofluid radiative transient flow past a spinning surface with quadratic Boussinesq approximation and... by Thirupathi Thumma, Surender Ontela, Rupalaksmi Dharanikota

“…Employing the Finite Element Method (FEM) with the Galerkin weighted residual approach and linear approximation functions, the study explores the intricate interactions between these factors. …”
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Methods of Protein Extraction from House Crickets (<i>Acheta domesticus</i>) for Food Purposes by Nair Cunha, Vanda Andrade, Antónia Macedo, Paula Ruivo, Gabriela Lima

“…Protein isolates have proven to be effective in enhancing this functionality and consumer acceptance, but existent protein extraction methods still lack improvements concerning the optimization of protein extraction rates. …”
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Investigation of Improved Methods in Power Transfer Efficiency for Radiating Near-Field Wireless Power Transfer by Hesheng Cheng, Huakun Zhang

“…Using the same configuration as method two, method three, where the maximum PTE can be increased by regulating the voltage (or power) ratio of the two feeding sources, is proposed. …”
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Deep Learning and Methods Based on Large Language Models Applied to Stellar Light Curve Classification by Yu-Yang Li, Yu Bai, Cunshi Wang, Mengwei Qu, Ziteng Lu, Roberto Soria, Jifeng Liu

“…Light curves serve as a valuable source of information on stellar formation and evolution. …”
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A mixed‐methods needs assessment to identify pharmacology education objectives for emergency medicine residents by Ashley C. Rider, Brian T. Dang, Holly A. Caretta‐Weyer, Kimberly A. Schertzer, Michael A. Gisondi

“…The study aim was to develop objectives for a patient‐safety focused pharmacology curriculum for emergency medicine residents. Methods We incorporated data from a de‐identified safety event database and survey responses of 30 faculty and clinical pharmacists at a single‐site suburban university hospital with 24‐hour emergency medicine pharmacists and an annual volume of approximately 70,000. …”
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Using machine learning methods for long-term technical and economic evaluation of wind power plants by Ali Omidkar, Razieh Es'haghian, Hua Song

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