Water Level Variation Monitoring in East Lake, Wuhan Based on Satellite Altimetry by LIU Huo-sheng, WANG Hai-hong, YU Qian-hui, LU Liang, QIN Peng-cheng, LIU Yi-bing

“…[Results] (1) Statistical analysis of pulse peakiness and waveform width from the lake surface altimetry echoes revealed that approximately 50% of East Lake’s waveforms exhibited specular reflections with distinct sharp peaks, while about 30% displayed complex shapes containing two or more peaks. (2) The results of accuracy validation using the on-site measured data of water levels showed that the 50% threshold retracking method achieved optimal performance, with a root mean square error (RMSE) of 0.108 m and a correlation coefficient of 0.87. (3) Based on the 50% threshold retracking method, and using Jason-3 data, the water level time series of East Lake from September 2017 to February 2022 was established. …”
Get full text

Single-particle-thick microstructures fabricated through controlled withdrawal of particles from a dispersion meniscus by Y. Harkavyi, G. Tiwari, Z. Rozynek

“…The physical mechanisms governing structure formation are examined, and key sources of instability are identified to support process optimization. …”
Get full text

Design and analysis of BLDC motor speed control for electric vehicles powered by solar PV and grid supply by Abhishek Kumar, M. Venkatesh Naik, Rahul Kumar, Aman

“…The proposed system utilizes a dual-source power configuration, where solar energy is optimized using an advanced maximum power point tracking (MPPT) technique via a boost converter. …”
Get full text

A predictive framework using advanced machine learning approaches for measuring and analyzing the impact of synthetic agrochemicals on human health by Sahezpreet Singh, Puneet Kaur, Inderdeep Kaur, Gurpreet Singh, Satinder Kaur, Parminder Kaur

“…Furthermore, Particle Swarm Optimization (PSO) and Genetic Algorithm (GA) used for model optimization. …”
Get full text

Quantum-Inspired Control Strategies for Reducing DC-Link Voltage Fluctuations in DFIG Wind Energy Converters by Sarika Shrivastava, Saifullah Khalid, Dinesh Kumar Nishad

“…This superposition-based optimization explores multiple solution spaces in parallel, achieving 40-50% faster convergence than classical methods. …”
Get full text

Enhancing action recognition in educational settings through exercise-induced neuroplasticity by Xu Yuan, Han Li, ShuangYi Feng, MingYang Sun

“…Existing models primarily rely on behavioral metrics, neglecting the underlying neural mechanisms that drive skill acquisition.MethodsOur method introduces a Neuroplastic Learning Dynamics Model (NLDM), a computational framework designed to simulate the synaptic modifications, cortical reorganization, and learning-induced connectivity changes that occur during educational engagement. …”
Get full text

The role of green finance in reshaping end-use energy consumption: insights from regional evidence in China by Mingzheng Deng, Xiangyi Lu, Ruibin Tong, Yan Xue, Shuaihang Shi, Rui Guo

“…Despite growing interest in this area, the relationship between green finance and the optimization of end-use energy consumption remains underexplored, particularly in the context of regional disparities.MethodsThis study investigates the impact of green finance on end-use energy consumption structure across 30 provinces in China from 2014 to 2021. …”
Get full text

Literature review for the topic of automation of scheduling classes and exams in higher education institutions by Wadhah M Al-Gabri

“…Materials and Methods. The analytical study results of a number of the Russian and foreign sources on methods and algorithms of the classes and exams timetabling automation are described. …”
Get full text

Visible-light deep reduction of low concentration CO2 over composite catalyst Ru/CoAl-LDH and the performance enhancement mechanism by Jun DAI, Fengting JIA, Juan YANG, Zhixiang FENG, Dazhao WANG, Chongchong LENG

“…By using Ru/CoAl-LDH as photocatalysts, H2O as electron donor and hydrogen source, and 10% CO2/N2 mixture as simulated flue gas, the effect of Ru loading amount on the productivity of CO2 reduction products and the selectivity of deep reduction products were investigated under visible light irradiation. 1.6% Ru/CoAl-LDH exhibited the optimal CO2 photoreduction performance. …”
Get full text

Integration of a novel Vernier-DSPM generator in a grid connected hybrid renewable energy system with battery storage by Abderrahmane Redouane, Rachid Saou, Youcef Belkhier, Amrane Oukaour

“…This research investigates a hybrid renewable energy system (HRESs) connected to the grid that uses three energy sources: solar energy, wind energy, and battery energy. …”
Get full text

Efficient Calculation and Component Analysis of Fault Current in MMC-HVDC Grid by Lixu Chen, Jun Yan, Xiufang Jia, Chengyong Zhao, Jianzhong Xu

Get full text

Predicting transmembrane helix packing arrangements using residue contacts and a force-directed algorithm. by Timothy Nugent, David T Jones

“…Despite significant efforts to predict transmembrane protein topology, comparatively little attention has been directed toward developing a method to pack the helices together. Here, we present a novel approach to predict lipid exposure, residue contacts, helix-helix interactions and finally the optimal helical packing arrangement of transmembrane proteins. …”
Get full text

Community Empowerment through the Food Security Program: A Case Study of Nagari Anam Koto Selatan, Kecamatan Kinali, Kabupaten Pasaman Barat by Helti Handraini, Zikri Alhadi

“…A descriptive qualitative method was employed, with data collection comprising in‐depth interviews, participatory observation, and documentation, supported by source and method triangulation to ensure data validity. …”
Get full text

Advanced Anomaly Detection in Smart Grids Using Graph Convolutional Networks With Integrated Node and Line Sensor Data by Mahdi Zarif, Ramin Moghaddass

“…Also, an optimization model was developed to find the most likely sources of anomalies across all nodes and edges of the network. …”
Get full text

Peningkatan Mutu Proses Pembuatan Cat Solvent dengan Metode Taguchi di PT JI by Hery Hamdi Azwir, Mahfud

“…The application of the Taguchi Method shows that the factors which influence the value of viscosity quality are number of White Spirit, Number of Genekyd, Total Tio2 (kaolin), and mixing temperature, where each factor has an optimal level of 26.01%, 56.07%, 18.78% and 45oC. …”
Get full text

Investigating the impact of variety of e-retail delivery service options on customer retention by Soheila Zarinjoy alvar, shahin raz, Ali Tavakolifar

“…The main advantage of the proposed strategy, compared to previous strategies, is its simplicity and easy implementation, and at the same time it reflects the optimal solution. Research methodology The current research is applicable in terms of purpose, a survey research in terms of the method of data collection, cross-sectional in terms of time, and causal-descriptive in terms of nature and method. …”
Get full text

Production of subtilisin proteases in bacteria and yeast by A. S. Rozanov, S. V. Shekhovtsov, N. V. Bogacheva, E. G. Pershina, A. V. Ryapolova, D. S. Bytyak, S. E. Peltek

“…Details are provided on the methods for expression optimization of industrial subtilases of various strains: the details of the most important parameters of cultivation, i. e., composition of the media, culture duration, and the inf luence of temperature and pH. …”
Get full text

Enhancing Crop Type Mapping in Data-Scarce Regions Through Transfer Learning: A Case Study of the Hexi Corridor by Jingjing Mai, Qisheng Feng, Shuai Fu, Ruijing Wang, Shuhui Zhang, Ruoqi Zhang, Tiangang Liang

“…The results demonstrated that during the transfer learning process using only source domain data—without utilizing any target domain data—the overall classification accuracy reached 73.88%, with optimal accuracies for maize and alfalfa at 88.97% and 85.23%, respectively. …”
Get full text

A Progressive Spectral Correction and Spatial Compensation Network for Pansharpening by Rixian Liu, Hangyuan Lu, Biwei Chi, Yong Yang, Shuying Huang

“…Current pansharpening methods often overlook the significant modality differences between source images and lack interaction between them, resulting in spatial-spectral distortions. …”
Get full text

Hyperspectral and Multispectral Remote Sensing Image Fusion Based on a Retractable Spatial–Spectral Transformer Network by Yilin He, Heng Li, Miaosen Zhang, Shuangqi Liu, Chunyu Zhu, Bingxia Xin, Jun Wang, Qiong Wu

“…Fusion that aims to emphasize spatial–spectral heterogeneous characteristics may significantly enhance the robustness of joint representation for multi-source data. To address these issues, this study proposes a hyperspectral and multispectral remote sensing image fusion method based on a retractable spatial–spectral transformer network (RSST) and introduces the attention retractable mechanism into the field of remote sensing image fusion. …”
Get full text