Removing Excess Iron from Sewage and Natural Waters: Selecting Optimal Sorbent by Ludmila A. Ivanova, Irina V. Timoshchuk, Alena K. Gorelkina, Ekaterina S. Mikhaylova, Nadezhda S. Golubeva, Evgeny N. Neverov, Tamara A. Utrobina

“…Initial concentration, flow velocity, and loading layer height were studied in dynamics, i.e., during continuous operation of the adsorption column. …”
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Construction of a deep learning-based predictive model to evaluate the influence of mechanical stretching stimuli on MMP-2 gene expression levels in fibroblasts by Ruozu Xiao, Haowei Zhou, Zhen Shi, Rong Huang, Yuheng Zhang, Jing Li

“…Methods Employing a bespoke mechanical tensile loading apparatus, diverse mechanical tensile stimuli were administered to fibroblasts, with parameters such as tensile shape and frequency duration constituting the mechanical loading regimen. …”
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Multipoint Approximation of Statistical Descriptors of Local Strain and Stress Fields in Heterogeneous Media Using Integral Equation Method by Mikhail Tashkinov

“…Such moments characterize distribution of fields under prescribed loading of a representative volume element and depend on the geometry features and location of components within a volume. …”
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RESEARCH AND DESIGN OF MULTI-DIRECTIONAL DUMPING CONSTRUCTION IN TRUCKS by Thong Duc HONG, Hiep Thanh THAI

“…This design aims to improve the features and performance of dump trucks compared to existing conventional vehicles. …”
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Research on Wind Turbine Unbalance Fault Diagnosis Based on Wavelet Transform and Convolutional Neural Network by Zhenling Li, Yukun Gao

“…It consists of two feature extractors of different scales, which are combined in the fully connected layer. …”
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Classification of Complex Power Quality Disturbances Based on Lissajous Trajectory and Lightweight DenseNet by Xi Zhang, Jianyong Zheng, Fei Mei, Huiyu Miao

“…With the increase in the penetration rate of distributed sources and loads, the sensor monitoring data is increasing dramatically. …”
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Steady-state data-driven dynamic stability assessment in the Korean power system by Sungyoon Song, Sang-won Min, Seungmin Jung

“…By utilizing 5-min-interval power flow data, unstable cases are determined, and two main feature data are extracted to train the support vector machine. …”
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YOLOv8-DBW: An Improved YOLOv8-Based Algorithm for Maize Leaf Diseases and Pests Detection by Xiang Gan, Shukun Cao, Jin Wang, Yu Wang, Xu Hou

“…Additionally, BiFPN was introduced to construct a bidirectional feature pyramid structure, which realized efficient information flow and fusion between different scale features and enhanced the feature fusion ability of the model. …”
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A generalizable model for the facial recognition of sika deer with enhanced cross-domain performance by Ye Mu, Jinghuan Hu, Zhipeng Li, Heyang Wang, He Gong, Yu Sun, Tianli Hu

“…Background interference is suppressed through adaptive attention mechanisms. For multi-scale feature optimization, a Multi-Scale Feature Enhancement (MSFE) module is designed to dynamically prioritize task-relevant features. …”
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Topology Optimization of Spinal Cage Designs for Improved Stress Distribution and Bone Graft Window by Meltem Eryıldız

“…In this study, a topology optimization approach was employed to develop distinct spinal cages featuring a bone graft window. The mechanical behavior of the spinal cages under loading conditions was simulated and evaluated using finite element analysis. …”
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FY-4A/AGRI Cloud Detection Method Based on Naive Bayesian Algorithm by Guo Xuexing, Qu Jianhua, Ye Lingmeng, Han Min, Shi Mojie

“…To avoid the direct impact of solar radiation, the spectral data of 7 infrared channels loaded by AGRI are analyzed to construct 10 cloud detection feature classifiers. …”
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ConvTransNet-S: A CNN-Transformer Hybrid Disease Recognition Model for Complex Field Environments by Shangyun Jia, Guanping Wang, Hongling Li, Yan Liu, Linrong Shi, Sen Yang

“…Finally, through a phased architecture design, efficient fusion of multi-scale disease features is achieved, which enhances feature discriminability while reducing model complexity. …”
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Machine learning to predict virological failure among HIV patients on antiretroviral therapy in the University of Gondar Comprehensive and Specialized Hospital, in Amhara Region, E... by Daniel Niguse Mamo, Tesfahun Melese Yilma, Makda Fekadie Tewelgne, Yakub Sebastian, Tilahun Bizuayehu, Mequannent Sharew Melaku, Agmasie Damtew Walle

“…Abstract Background Treatment with effective antiretroviral therapy (ART) reduces viral load as well as HIV-related morbidity and mortality in HIV-positive patients. …”
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Enhanced diagnosis of planetary gear train faults based on bispectrum and attention mechanism deep convolutional generative adversarial networks by Dalian Yang, Yang Zhang, Renjie Li, Hui Long, Changzheng Huang

“…Secondly, by utilizing the experimental data of the planetary gear train, bispectral feature samples under three load conditions and five fault states were constructed. …”
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Radiogenomic method combining DNA methylation profiles and magnetic resonance imaging radiomics predicts patient prognosis in skull base chordoma by Xiaoyu Deng, Peiran Li, Kaibing Tian, Fan Zhang, Yumeng Yan, Yanghua Fan, Zhen Wu, Junting Zhang, Jiang Du, Wei Chen, Liang Wang

“…Based on the Signature 4 loading values, the patients were categorized into low-signature (LLG) and high-signature (HLG) loading groups. …”
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Bearing fault diagnosis for variable operating conditions based on KAN convolution and dual branch fusion attention by Qibing Wang, Chuanjie Yin, Kun She, Qinfeng Tong, Guoxiong Lu, Hongbing Zhang, Jiawei Lu

“…Subsequently, context-aware features and non-local aggregation features are combined with the objective of obtaining global features. …”
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Advancing Rice Disease Detection in Farmland with an Enhanced YOLOv11 Algorithm by Hongxin Teng, Yudi Wang, Wentao Li, Tao Chen, Qinghua Liu

“…It also lowers computational complexity and enhances local feature capture through the C3k2-CFCGLU block. The C3k2-CSCBAM block in the neck region reduces the training overhead and boosts target learning in complex backgrounds. …”
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OGC API: Ldproxy, an Updated and Contemporary Approach to Geodata Provision in Disaster Mapping by L. F. P. Sulaeman, F.-J. Behr

“…However, it offers an mvt feature format that makes the feature data can be loaded more efficiently and quickly.…”
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An Automatic Measurement Method of Test Beam Response Based on Spliced Images by Dong Liang, Jing Liu, Lida Wang, Chenjing Liu, Jia Liu

“…The simplified AKAZE feature detection algorithm and the modified RANSAC are used to track the natural features of the structures. …”
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Analysing and Forecasting the Energy Consumption of Healthcare Facilities in the Short and Medium Term. A Case Study by Ali Koç, Serap Ulusam Seçkiner

“…In addition, grid search and Bayesian optimisation performed better than random search in finding optimal hyperparameter values for all datasets. Finally, thanks to feature importance analysis, the most influential features under the hourly, daily, and monthly electrical and monthly natural gas prediction were identified. …”
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