Study on the Feasibility and Performance Evaluation of High-Orbit Spacecraft Orbit Determination Based on GNSS/SLR/VLBI by Zhengcheng Wu, Shaojie Ni, Wei Xiao, Zongnan Li, Huicui Liu

“…Deep space exploration utilizing high-orbit vehicles is a vital approach for extending beyond near-Earth space, with orbit information serving as the foundation for all functional capabilities. …”
Get full text

The Transformation of Pigment in Fruit Wine, Precise Control of Pigment Formation, and Their Effect on Product Quality by Xiang Tan, Mengfan Ding, Chen Wang, Linhua Huang, Junying Bai

“…In addition, biochemical changes produce a series of chemical derivatives that affect bioavailability and biological functions. This review summarizes the chemical basis, formation process, influencing factors, identification techniques, bioavailability, and bioactivity of fruit wine pigments, providing an important reference for the utilization of fruit resources and the development of high-quality fruit wine products.…”
Get full text

Processing Challenges and Opportunities of Camel Dairy Products by Tesfemariam Berhe, Eyassu Seifu, Richard Ipsen, Mohamed Y. Kurtu, Egon Bech Hansen

“…Therefore, it is essential to understand the fundamental features of camel milk and initiate detailed multidisciplinary research to fully explore and utilize its functional and technological properties.…”
Get full text

Design and implementation of J2EE-based statement feature recognition in English teaching system optimization by Lina Wang

“…In the performance test of file resource query service with virtual 10–100 users and 20 times submitted by each user, the response time of the system is <1.5 s, the success rate reaches 100 %, and the CPU utilization is also <5 %. …”
Get full text

Ambient noise levels of seismic stations located in urban agglomerations in central Inner Mongolia, China. by Wenchao Bao, Quan An, Ye Guo, Lujun Wang, Jianxin Gao

“…Three stations are affected by two noise sources, and three stations are affected by one noise source. …”
Get full text

Artificial Intelligence in Ecuadorian SMEs: Drivers and Obstacles to Adoption by Reyner Pérez-Campdesuñer, Alexander Sánchez-Rodríguez, Gelmar García-Vidal, Rodobaldo Martínez-Vivar, Margarita De Miguel-Guzmán

“…The results reveal that AI adoption remains limited and highly concentrated in marketing-related functions, particularly in content generation and social media automation, with minimal implementation in finance, logistics, and human resource management. …”
Get full text

Medium- and Long-term Runoff Prediction Based on SMA-LSSVM by TIAN Jinghuan, LI Congxin, LI Ang

“…Medium-and long-term runoff prediction is extremely important for flood control,disaster reduction and the utilization efficiency improvement of water resources.To avoid the influence of prediction model parameters on prediction accuracy,this paper proposes a medium-and long-term runoff prediction model based on least squares support vector machine (LSSVM) optimized by the slime mold algorithm (SMA).Firstly,five standard test functions are selected to compare the simulation results of SMA and particle swarm optimization (PSO) algorithms in different dimensions.Secondly,SMA is used to optimize the penalty parameters and kernel parameters of LSSVM,and the comparison models of LSSVM and PSO-LSSVM are constructed.Finally,the models are verified with the monthly runoff of Manwan Hydropower Station Reservoir and Yingluoxia Hydrological Station as prediction examples.The results show that the mean square error of the SMA-LSSVM model is 29.26% and 7.42% lower than those of the LSSVM and PSO-LSSVM models,respectively,in the monthly runoff prediction of the Manwan station,and 32.61% and 6.61% lower,respectively,in the monthly runoff prediction of the Yingluoxia station.The proposed SMA-LSSVM model has better comprehensive prediction performance and also provides a new method for medium- and long-term runoff prediction.…”
Get full text

Forecast Model of Russia’s Gross Domestic Product Depending on Financial Instruments of Trade in Energy and Commodities by Samkov T.L.

“…The ATMO model makes it possible to influence the economy to achieve macroeconomic goals and gives the opportunity to increase the available volumes of energy resources for export, e.g., for functioning of the emerging gas hub in EU.…”
Get full text

Sandwich‐Structured Fluorinated Polyimide Aerogel/Paraffin Phase‐Change Composites Simultaneously Enables Gradient Thermal Protection and Electromagnetic Wave Transmission by Tao Shi, Jianwei Jing, Zhiqiang Qian, Gaojie Wu, Guofeng Tian, Huan Liu, Xiaodong Wang

Get full text

A Novel Multi-Objective Fuzzy Deep Learning Framework for Predictive Maintenance in Industrial Internet of Things by Jiangang Feng, Jicheng Kan

“…This combined framework is designed to maximize equipment uptime and optimize resource allocation by dynamically adapting to varying maintenance demands and operating conditions. …”
Get full text

Synergies Between Virtual Commissioning and Digital Twins by Hermann Boris Djeulezeck Tanegue, William de Paula Ferreira, Rodrigo Furlan de Assis, David Brodeur

“…Virtual commissioning (VC) and digital twins (DTs) are two key enabling technologies of Industry 4.0 (I4.0), which can enhance operational efficiency, optimize resource utilization, streamline the development and deployment of automation systems, and accelerate innovation in manufacturing and industrial processes. …”
Get full text

An Improved Fast Prediction Method for Full-Space Bistatic Acoustic Scattering of Underwater Vehicles by Ruichong Gu, Zilong Peng, Yaqiang Xue, Cong Xu, Changxiong Chen

“…The scattering sound field is represented as the product of the acoustic scattering transfer function and the sound source density function. By utilizing target surface mesh information and partial scattered sound pressure data as known inputs, the method predicts other bistatic scattering sound fields through numerical integration, matrix theory, and the least squares method. …”
Get full text

Hybrid Models for Forecasting Allocative Localization Error in Wireless Sensor Networks by Guo Li, Hongyu Sheng

“…This study presents a machine learning-based approach to forecast Allocative Localization Error (ALE) in Wireless Sensor Networks (WSNs), addressing challenges such as dynamic network topologies and resource constraints. The approach utilizes Radial Basis Function (RBF) models enhanced with advanced optimization algorithms, including Coot Optimization Algorithm (COA), Smell Agent Optimization (SAO), and Northern Goshawk Optimization (NGO) to improve ALE prediction accuracy. …”
Get full text

Observation of Thickness-Modulated Out-of-Plane Spin–Orbit Torque in Polycrystalline Few-Layer Td-WTe₂ Film by Mingkun Zheng, Wancheng Zhang, You Lv, Yong Liu, Rui Xiong, Zhenhua Zhang, Zhihong Lu

Get full text

Arthrodesis with Hybrid Nail-Frame Construct Allows for Expedited Frame Removal During Neuropathic Limb Salvage by William Polachek MD, Philip H. Locker MD, Jacob R. Zide MD, Veerabhadra Reddy MD, David Vier MD

“…Conclusion: Limb salvage in neuropathic patients is a resource intensive endeavor, however successful salvage reduces long term expenditures and may allow for improved patient function compared to amputation. …”
Get full text

An Adaptive Robust Event-Triggered Variational Bayesian Filtering Method with Heavy-Tailed Noise by Di Deng, Peng Yi, Junlin Xiong

“…Event-triggered state estimation has attracted significant attention due to the advantage of efficiently utilizing communication resources in wireless sensor networks. …”
Get full text

Structural optimization and performance evaluation of a sugarcane leaf mulching machine by Weihua Huang, Shuo Wang, Chang Ge, Lijiao Wei, Dongjie Du, Zhaojun Niu, Ming Li, Zhenhui Zheng

“…This study provides a valuable reference for advancing sugarcane leaf mulching machine performance and offers insights into more effective utilization of sugarcane leaf resources.…”
Get full text

Protocol Biopsies in Kidney Transplant Recipients: Current Practice After Much Discussion by Christina Lazarou, Eleni Moysidou, Michalis Christodoulou, Stamatia Stai, Georgios Lioulios, Efstratios Kasimatis, Asimina Fylaktou, Maria Stangou

“…Further multicenter randomized trials are needed to refine guidelines and optimize their clinical utility.…”
Get full text

Characterization of Landsat-8 and Landsat-9 Reflectivity and NDVI Continuity Based on Google Earth Engine by Qing Zhang, Difeng Wang, Dongyang Fu, Fang Gong, Xianqiang He, Yiqi Wang

Get full text

Noncanonical terpene cyclases for the biosynthesis of diterpenoids regulating chlamydospore formation in plant-associated Trichoderma by Min-Jie Yang, De-Sen Li, Hua-Qin Deng, Wen-Yuan Li, Xin-Yu Zheng, Jonathan Gershenzon, Xue-Mei Niu, Yan Liu, Sheng-Hong Li

Get full text