A Fast, Simple, and Approximate Method for a Minimal Unit Cell Design of Glide-Symmetric Double-Corrugated Parallel-Plate Waveguides by Fatih Çolak, Agah Oktay Ertay

“…Glide-symmetric double-corrugated parallel-plate waveguides (GS-DCPPWs) have essential technical properties such as an electromagnetic bandgap, lower dispersion, and the ability to control the equivalent refractive index. …”
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Integrated MPPT and bidirectional DC DC converter with reduced switch multilevel inverters for electric vehicles applications by K. Dhineshkumar, N. Vengadachalam, Suresh Muthusamy, Baseem Khan

“…Moreover, the power conversion efficiency may not be optimized leading to lower energy output. …”
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Enabling health data analyses across multiple private datasets with no information sharing using secure multiparty computation by Aziz Sheikh, Cathie Sudlow, Chris Robertson, Steven Kerr

“…However, restrictions on data sharing between secure data environments (SDEs) imposed limitations on the ability to carry out joint analyses across multiple separate datasets. …”
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Generative adversarial DacFormer network for MRI brain tumor segmentation by Muqing Zhang, Qiule Sun, Yutong Han, Mingli Zhang, Wei Wang, Jianxin Zhang

“…Abstract Current brain tumor segmentation methods often utilize a U-Net architecture based on efficient convolutional neural networks. While effective, these architectures primarily model local dependencies, lacking the ability to capture global interactions like pure Transformer. …”
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MXene-based membranes for water treatment: preparation, properties, and application by samal babanzadeh

“…Among the different membrane processes, reverse osmosis is an efficient technology to remove salt ions from brackish water to obtain potable water. …”
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Design and application of human-computer interaction visual communication platform for Guandong culture by integrating RF and light GBM algorithm by Qiao Wu, Ying Jin

“…Light gradient boosting machine performed excellently and had high computational efficiency when processing large-scale data through an efficient gradient boosting framework. …”
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Screening of serum biomarkers in patients with PCOS through lipid omics and ensemble machine learning. by Ji-Ying Chen, Wu-Jie Chen, Zhi-Ying Zhu, Shi Xu, Li-Lan Huang, Wen-Qing Tan, Yong-Gang Zhang, Yan-Li Zhao

“…This study demonstrated the applicability and robustness of machine learning algorithms to analyze lipid metabolism data for efficient and reliable biomarker screening. PI (18:0/20:3)-H and PE (18:1p/22:6)-H showed great potential in diagnosing PCOS.…”
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EER-DETR: An Improved Method for Detecting Defects on the Surface of Solar Panels Based on RT-DETR by Jiajun Dun, Hai Yang, Shixin Yuan, Ying Tang

“…In the context of the rapid popularization of clean energy, the precise identification of surface defects on photovoltaic modules has become a core technical bottleneck limiting the operational efficiency of power stations. In response to the shortcomings of existing detection methods in identifying tiny defects and model efficiency, this study innovatively constructed the EER-DETR detection framework: firstly, a feature reconstruction module WDBB with a differentiable branch structure was introduced to significantly enhance the feature retention ability for fine cracks and other small targets; secondly, an adaptive feature pyramid network EHFPN was innovatively designed, which achieved efficient integration of multi-level features through a dynamic weight allocation mechanism, reducing the model complexity by 9.7% while maintaining detection accuracy, solving the industry problem of “precision—efficiency imbalance” in traditional feature pyramid networks; finally, an enhanced upsampling component was introduced to effectively address the problem of detail loss that occurs in traditional methods during image resolution enhancement. …”
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An Improved Segformer for Semantic Segmentation of UAV-Based Mine Restoration Scenes by Feng Wang, Lizhuo Zhang, Tao Jiang, Zhuqi Li, Wangyu Wu, Yingchun Kuang

“…Experimental results demonstrated that the proposed method exhibited strong performance in terms of segmentation accuracy and generalization ability, effectively supporting the image analysis needs of mine restoration scenes.…”
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Simultaneous removal of dye and oil constituents from synthetic emulsion using greenly synthesized ZrO2/ZnO/AC nanocomposites by Enshirah Da'na, Amel Taha, Zakaria Al-Qodah, Hanaa A. Hassanin

“…This work aims to enhance the efficiency of activated carbon in removing both organic dyes and edible oil by incorporating a greenly synthesized ZrO2/ZnO nanocomposite over the surface of commercial activated carbon. …”
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Deducing high-accuracy protein contact-maps from a triplet of coevolutionary matrices through deep residual convolutional networks. by Yang Li, Chengxin Zhang, Eric W Bell, Wei Zheng, Xiaogen Zhou, Dong-Jun Yu, Yang Zhang

“…Compared to previous approaches, the major advantage of TripletRes is in its ability to learn and directly fuse a triplet of coevolutionary matrices extracted from the whole-genome and metagenome databases and therefore minimize the information loss during the course of contact model training. …”
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PS-YOLO-seg: A Lightweight Instance Segmentation Method for Lithium Mineral Microscopic Images Based on Improved YOLOv12-seg by Zeyang Qiu, Xueyu Huang, Zhicheng Deng, Xiangyu Xu, Zhenzhong Qiu

“…A PSConv-based downsampling strategy enhances the network’s ability to capture dim mineral textures under microscopic conditions. …”
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How GenAI-supported multi-modal presentations benefit students with different motivation levels: Evidence from digital storytelling performance, critical thinking awareness, and le... by Hui-Chun Chu, Yi-Chun Lu, Yun-Fang Tu

“…Furthermore, the study examined the differences in M-DST ability and critical thinking awareness among undergraduates with different levels of learning motivation and their perceptions of this learning approach. …”
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Enhancing cybersecurity through autonomous knowledge graph construction by integrating heterogeneous data sources by Hatoon Alharbi, Ali Hur, Hasan Alkahtani, Hafiz Farooq Ahmad

“…By harnessing the heterogeneous and vast amount of information on potential attacks, organizations can improve their ability to proactively detect and mitigate any threat or damage to their online valuable resources. …”
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Three-Stage Channel Split Dense Fusion Network for Single Image Deraining by ZHANG Shuting, WANG Changyue, WANG Changzhong, LENG Qiangkui

“…CSB uses channel split operation to split the rainy image into multiple channels, and applies different rain streaks removal methods according to different levels of features to reduce redundant features and network parameters, and improve the performance ability and computational efficiency of the model. …”
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Text2SQL Business Intelligence System Based on Retrieval‐Augmented Generation (RAG) by Jie Liu, Shiwei Chu

“…Additionally, the system achieves the highest user satisfaction scores, validating its practical utility. By enhancing the ability to handle complex queries and reducing data access barriers, the proposed RAG‐based text2SQL system provides enterprise users with an efficient, user‐friendly tool for database interaction, significantly improving decision‐making processes.…”
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Lightweight Road Environment Segmentation using Vector Quantization by J. Kwag, A. Yilmaz, C. Toth

“…Numerous works based on Fully Convolutional Networks (FCNs) and Transformer architectures have been proposed to leverage local and global contextual learning for efficient and accurate semantic segmentation. In both architectures, the encoder often relies heavily on extracting continuous representations from the image, which limits the ability to represent meaningful discrete information. …”
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CONDUCTIVE CHANNEL FOR ENERGY TRANSMISSION by V. V. Apollonov

“…It is still too much for efficient applications.…”
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Inverse Analysis of Thermal Parameters of Arch Dam Concrete Based on Walrus Optimization Algorithm by Youle Wang, Zhengjian Miao, Rui Song, Junchi Zhou, Yuheng Pan, Feng Wang

“…We bring the inversion results into different dam sections to calculate the temperature field during construction, which effectively verifies the efficient solution ability of the WaOA for the inverse analysis of concrete thermal parameters under complex engineering backgrounds.…”
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Justification of bioactivated grain triticale use in alcohol production by Mirontseva A., Tsed E., Volkova S.

“…All measures taken to solve the problem come down to the selection of the efficient enzyme preparations, hydrolyzing grain polymers into low molecular weight compounds, which have the ability to be disposed by the yeast cells and form the ethyl alcohol. …”
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