Res-LK-SLR: A Residual Network Based on Large Kernels and Shapelet-Level Representations for Spatial Infrared Spot Target Discrimination by Huiying Liu, Jiarong Wang, Weijun Zhong, Haitao Nie, Xiaotong Deng, Jiaqi Sun, Ming Zhu, Ming Wei

“…However, due to the complexity of actual scenarios and the limited opportunities for acquiring IRSs, resulting in noise interference, extremely small-scale datasets with imbalanced distribution of classes and widely varying sequence lengths range from a few hundred to several thousand time steps. …”
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Methyl-CpG-binding (SmMBD2/3) and chromobox (SmCBX) proteins are required for neoblast proliferation and oviposition in the parasitic blood fluke Schistosoma mansoni. by Kathrin K Geyer, Sabrina E Munshi, Helen L Whiteland, Narcis Fernandez-Fuentes, Dylan W Phillips, Karl F Hoffmann

“…Firstly, we demonstrate that SmMBD2/3 contains amino acid features essential for 5-methyl cytosine (5mC) binding and illustrate that adult schistosome nuclear extracts (females > males) contain this activity. …”
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Smart furniture using radar technology for cardiac health monitoring by Ali Gharamohammadi, Mohammad Omid Bagheri, Serene Abu-Sardanah, Michael M. Y. R. Riad, Hajar Abedi, Ahmad Ansariyan, Kang Wang, Ashish Saragadam, Dmytro Chumachenko, Shahabeddin Abhari, Plinio Pelegrini Morita, Amir Khajepour, George Shaker

“…In this paper, we introduce a millimeter (mm)-wave radar system positioned strategically behind a seat, featuring an algorithm capable of identifying unique cardiac waveform patterns for healthy subjects. …”
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Quantity of Cu(II) ions in a copper pot by a DNAzyme-based fluorescent sensor by Dazhi Jiang, Shijin Wang, Changrong Yang, Ziyi Jia, Fulong Wang, Yongjie Sheng, Yongxing Ai, Jiacui Xu

“…Furthermore, it has shown high selectivity for Cu(II) ions and possesses excellent anti-interference ability against 10,000-fold excess of Ca(II) and Mg(II), etc. …”
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OPPORTUNITIES OF ELECTRO-OPTIC VISUALIZATION PRACTICAL APPLICATIONS ON BOARD THE AIRCRAFT by S. B. Stukalov, D. S. Stukalov, V. I. Kondrikov

“…In the mode of the infrared spectrum information there appears a filtering problem of interference caused by helicopter engine exhaust gases and snow in the sector of observation. …”
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CMCD: A Consistency Model-Based Change Detection Method for Remote Sensing Images by Xiongjie Li, Weiying Xie, Jiaqing Zhang, Yunsong Li

“…In addition, we propose a new strategy for noise injection that concatenates with one remote sensing image rather than two, thereby reducing noise interference with feature information. We also develop a pruning strategy of skip connections and a top–down feature aggregation module to improve feature utilization efficiency. …”
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Underground personnel detection and tracking using improved YOLOv7 and DeepSORT by Weiqiang FAN, Xuejin WANG, Yinghui ZHANG, Xiaoyu LI

“…The underground monitoring video is susceptible to interference factors such as artificial light source, dust and spray, which leads to the poor real-time performance, high missed & false detection rates and poor tracking accuracy of existing underground personnel monitoring methods using computer vision. …”
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A study on the functional role of the DHCR24 gene in gonadal differentiation and development of Macrobrachium nipponense by Pengfei Cai, Wenyi Zhang, Sufei Jiang, Yiwei Xiong, Hui Qiao, Shubo Jin, Hongtuo Fu

“…We used bioinformatics to analyze sequence features and phylogenetic relationships of a single Mn-DHCR24 gene. …”
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Enhanced YOLO11n-Seg with Attention Mechanism and Geometric Metric Optimization for Instance Segmentation of Ripe Blueberries in Complex Greenhouse Environments by Rongxiang Luo, Rongrui Zhao, Bangjin Yi

“…This optimizes the YOLO11n structure and effectively suppresses background interference. Consequently, the model’s accuracy in recognizing fruit contours improves. …”
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Investigation of an Efficient Multi-Class Cotton Leaf Disease Detection Algorithm That Leverages YOLOv11 by Fangyu Hu, Mairheba Abula, Di Wang, Xuan Li, Ning Yan, Qu Xie, Xuedong Zhang

“…Specifically, the U-Net v2 module is embedded in the backbone network to boost the multi-scale feature extraction performance in YOLOv11. Meanwhile, the CBAM attention mechanism is integrated to emphasize critical disease-related features. …”
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A study on an efficient citrus Huanglong disease detection algorithm based on three-channel aggregated attention by Yizong Wang, Zhengrong Xiao, Hong Wang, Fei Li, Jiya Tian

“…Secondly, the three-channel aggregated attention module Powerneck is proposed in the Neck section, which realizes efficient cross-scale feature interactions, effectively suppresses background noise interference, and improves robustness in complex field scenes through SimFusion_4in feature alignment, information fusion module (IFM) global context fusion, and Power channel dynamic weighting strategy. …”
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Hybrid Maghemite (γ-Fe2O3) Nanoparticle/Graphene Nanosheet Nanocomposite for Terahertz-Shielding Applications by Samuel Augustus D. Toledo, Alvin Karlo G. Tapia, Gil Nonato C. Santos

“…At the same time, the films retained some of the distinct features of the polymer matrix and GNS with localized clusters of the magnetic nanoparticles. …”
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The Spatio-Temporal Equalization Sliding-Window Distribution Distance Maximization Based on Unsupervised Learning for Online Event-Related Potential-Based Brain–Computer Interfaces... by Haoye Wang, Jing Jin, Xinjie He, Shurui Li, Andrzej Cichocki

“…STE estimates and removes colored noise interference in background noise to enhance the signal-to-noise ratio of inputs for sDDM. …”
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ACD-Net: An Abnormal Crew Detection Network for Complex Ship Scenarios by Zhengbao Li, Heng Zhang, Ding Gao, Zewei Wu, Zheng Zhang, Libin Du

“…The CBAM attention mechanism is introduced to reduce the interference of background features and improve the accuracy of real-time detection of crew abnormal behavior. …”
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Defect R-CNN: A Novel High-Precision Method for CT Image Defect Detection by Zirou Jiang, Jintao Fu, Tianchen Zeng, Renjie Liu, Peng Cong, Jichen Miao, Yuewen Sun

“…Additionally, we introduce a custom backbone, edge-prior net (EP-Net), to capture features across multiple spatial scales, enhancing the recognition of subtle and complex defect patterns. …”
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TPP-SAM: A Trajectory Point Prompting Segment Anything Model for Zero-Shot Road Extraction From High-Resolution Remote Sensing Imagery by Tao Wu, Yaling Hu, Jianxin Qin, Xinyi Lin, Yiliang Wan

“…The proposed model extends the application of geographic image segmentation and holds potential for other geolabeled features.…”
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Schizophrenic urbanism: a quantitative approach for monitoring deviation in neighbourhood’s planning standards by Islam Sallam, Mohamed Faisal Al-Kazee

“…As a metaphor, this term connects schizophrenia as a specific mental disease with precise features of urban planning, such as the loss of identity, place recognition, and community interaction with the social and environmental context. …”
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A New Algorithm Model Based on Extended Kalman Filter for Predicting Inter-Well Connectivity by Liwen Guo, Zhihong Kang, Shuaiwei Ding, Xuehao Yuan, Haitong Yang, Meng Zhang, Shuoliang Wang

“…This study proposes a state variable-based dynamic capacitance (SV-DC) model that integrates artificial intelligence techniques with dynamic data and geological features to more accurately identify inter-well connectivity and its evolution. …”
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Automatic Detection of Landslide Surface Cracks from UAV Images Using Improved U-Network by Hao Xu, Li Wang, Bao Shu, Qin Zhang, Xinrui Li

“…The model enhances the extraction of crack features by integrating residual blocks and attention mechanisms within the encoder. …”
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Breast Tumor Detection and Diagnosis Using an Improved Faster R-CNN in DCE-MRI by Haitian Gui, Han Jiao, Li Li, Xinhua Jiang, Tao Su, Zhiyong Pang

“…We adopted Faster RCNN as the architecture, introduced ROI aligning to minimize quantization errors and feature pyramid network (FPN) to extract different resolution features, added a bounding box quadratic regression feature map extraction network and three convolutional layers to reduce interference from tumor surrounding information, and extracted more accurate and deeper feature maps. …”
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