Showing 1,381 - 1,400 results of 2,333 for search 'blocking detection', query time: 0.10s Refine Results
  1. 1381

    A Deep Search for Complex Organic Molecules toward the Protoplanetary Disk of V883 Ori by Abubakar M. A. Fadul, Kamber R. Schwarz, Merel L. R. van ’T Hoff, Jane Huang, Jennifer B. Bergner, Tushar Suhasaria, Jenny K. Calahan

    Published 2025-01-01
    “…We searched for multiple nitrogen-bearing COMs, as ${{\rm{CH}}}_{3}{\rm{CN}}$ was the only N-bearing COM that had been identified so far in this source. We also detect ${{\rm{CH}}}_{3}{\rm{CN}}$ , and tentatively detect CH _3 CH _2 CN, ${{\rm{CH}}}_{{\rm{2}}}{\rm{CHCN}}$ , CH _3 NCO, and NH _2 CHO. …”
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    Article
  2. 1382

    The miR-6240 target gene Igf2bp3 promotes myoblast fusion by enhancing myomaker mRNA stability by Yuxin Huang, Wei Wang, Xinhao Fan, Xiaoqin Liu, Weiwei Liu, Zishuai Wang, Yixing Li, Yalan Yang, Zhonglin Tang

    Published 2024-12-01
    “…The Igf2bp3 overexpression vector was designed using the pcDNA3.1(+) vector. Immunofluorescence detection was employed for subcellular localization and cell differentiation analysis. …”
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    Article
  3. 1383

    LOW-INVASIVE TREATMENT OF PANCREATOGENIC RETROPERITONEAL ABSCESSES by M. P. Korolyov, R. G. Avanesyan, E. A. Mikhailova, G. M. Lepekhin, M. M. Turyanchik

    Published 2016-02-01
    “…Recanalization and outwardly-internal drainage were used in the case of the blocked Wirsung’s duct in order to prevent pancreatic fistulas. …”
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    Article
  4. 1384

    Instance Segmentation of Sugar Apple (<i>Annona squamosa</i>) in Natural Orchard Scenes Using an Improved YOLOv9-seg Model by Guanquan Zhu, Zihang Luo, Minyi Ye, Zewen Xie, Xiaolin Luo, Hanhong Hu, Yinglin Wang, Zhenyu Ke, Jiaguo Jiang, Wenlong Wang

    Published 2025-06-01
    “…Additionally, a Convolutional Block Attention Module (CBAM) refined the focus on key regions and deep semantic features. …”
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    Article
  5. 1385

    A Few-Shot SE-Relation Net-Based Electronic Nose for Discriminating COPD by Zhuoheng Xie, Yao Tian, Pengfei Jia

    Published 2025-08-01
    “…The model integrates residual blocks, BiGRU layers, and squeeze–excitation attention mechanisms to enhance feature-extraction efficiency. …”
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    Article
  6. 1386

    Elevated plasma CXCL12 leads to pain chronicity via positive feedback upregulation of CXCL12/CXCR4 axis in pain synapses by Shi-Ze Leng, Mei-Jia Fang, Yi-Min Wang, Zhen-Jia Lin, Qian-Yi Li, Ya-Nan Xu, Chun-Lin Mai, Jun-Ya Wan, Yangyinhui Yu, Ming Wei, Ying Li, Yu-Fan Zheng, Kai-Lang Zhang, Ya-Juan Wang, Li-jun Zhou, Zhi Tan, Hui Zhang

    Published 2024-12-01
    “…However, intrathecal blocking of CXCL12/CXCR4 pathway by CXCL12 antibody or CXCR4 antagonist AMD3100 significantly alleviated CXCL12-induced pain hypersensitivity and pathological changes. …”
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    Article
  7. 1387

    Real-Time Hand Gesture Monitoring Model Based on MediaPipe’s Registerable System by Yuting Meng, Haibo Jiang, Nengquan Duan, Haijun Wen

    Published 2024-09-01
    “…Currently, most hand gesture detection methods rely on fixed hand gesture recognition. …”
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    Article
  8. 1388

    Design and Implementation of Local Threshold Segmentation Based on FPGA by Shangshang Gao, Yuanyuan Wang, Zhaofeng Chen, Feng Zhou, Rugang Wang, Naihong Guo

    Published 2022-01-01
    “…Then, the idea of the mean value of the local neighborhood block and the Gaussian weighted sum in the local neighborhood is used to deal with the reflective and uneven light on the image. …”
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    Article
  9. 1389

    A Combination of Pre- and Postprocessing Techniques to Enhance Self-Paced BCIs by Raheleh Mohammadi, Ali Mahloojifar, Damien Coyle

    Published 2012-01-01
    “…The paper shows that self-paced BCI performance can be significantly improved by combining a range of simple techniques including (1) constant-Q filters with varying bandwidth size depending on the center frequency, instead of constant bandwidth filters for frequency decomposition of the EEG signal in the 6 to 36 Hz band; (2) subject-specific postprocessing parameter optimization consisting of dwell time and threshold, and (3) debiasing before postprocessing by readjusting the classification output based on the current and previous brain states, to reduce the number of false detections. This debiasing block is shown to be optimal when activated only in special cases which are predetermined during the training phase. …”
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    Article
  10. 1390

    Robotic Mapping and Localization with Real-Time Dense Stereo on Reconfigurable Hardware by John Kalomiros, John Lygouras

    Published 2010-01-01
    “…The reconfigurable sensor detects point features from stereo image pairs to use at the measurement update stage of the procedure. …”
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    Article
  11. 1391

    Dense skip-attention for convolutional networks by Wenjie Liu, Guoqing Wu, Han Wang, Fuji Ren

    Published 2025-07-01
    “…The experimental results demonstrate that our method improves the performance of existing attention mechanism methods, such as Squeeze-and-Excitation Networks, Efficient Channel Attention Networks and Convolutional Block Attention Module, in tasks like image classification, object detection, and instance segmentation. …”
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    Article
  12. 1392

    Machine Learning to Assess Relatedness: The Advantage of Using Firm-Level Data by Giambattista Albora, Andrea Zaccaria

    Published 2022-01-01
    “…We also discuss the effect of using parameter optimization and community detection algorithms to identify clusters of related companies and products, finding that a partition into a higher number of blocks decreases the computational time while maintaining a prediction performance well above the network-based benchmarks.…”
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    Article
  13. 1393

    A swin transformer and CNN fusion framework for accurate Parkinson disease classification in MRI by Sayyed Shahid Hussain, Pir Masoom Shah, Hussain Dawood, Xu Degang, Ahmad Alshamayleh, Muhammad Adnan Khan, Taher M. Ghazal

    Published 2025-04-01
    “…The proposed model comprises three primary blocks: Transformer-block, convolutional block, and dense-block. …”
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    Article
  14. 1394

    Silicon tracker for the compressed baryonic matter experiment by M. S. Borysova, V. O. Kyva, A. O. Lymanets, V. M. Militsiya, O. Y. Okhrimenko, V. M. Pugatch, J. M. Heuser

    Published 2008-12-01
    “…Concept of the silicon detection system and the R&D on micro-strip sensors as well as front-end electronics for the building blocks of the detector stations are discussed.…”
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    Article
  15. 1395
  16. 1396

    Mass wasting reveals ongoing asymmetric retreat of the martian north polar ice cap by Shu Su, Lida Fanara, Haifeng Xiao, Ernst Hauber, Jürgen Oberst

    Published 2025-01-01
    “…Abstract Ongoing mass wasting through ice block falls is intensive at the north polar ice cap of Mars. …”
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    Article
  17. 1397

    Spectrum‐sensing algorithm based on graph feature fusion by Shanshan Wu, Guobing Hu, Bin Gu

    Published 2024-12-01
    “…Thus, compared to existing algorithms, except block range‐ and energy‐detection‐based methods, the proposed algorithm demonstrates the best spectrum‐sensing performance under low SNRs and channel‐fading conditions, while achieving the lowest computational complexity. …”
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    Article
  18. 1398

    Two-Dimensional Iterative Processing for DAB Receivers Based on Trellis-Decomposition by Wim J. van Houtum, Frans M. J. Willems

    Published 2012-01-01
    “…We investigate iterative trellis decoding techniques for DAB, with the objective of gaining from processing 2D-blocks in an OFDM scheme, that is, blocks based on the time and frequency dimension, and from trellis decomposition. …”
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  19. 1399

    COMPLEX DIAGNOSTICS OF THE INTERREGIONAL INNOVATIVE AND RESOURCE DIFFERENTIATION by D. Yu. Fraimovich, A. K. Kholodnaya

    Published 2017-10-01
    “…The methodology developed by the authors involves the calculation of an integral index allowing a comprehensive account of factors in three analyzed blocks: resources, social (indirect) conditions and innovation intensity. …”
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    Article
  20. 1400

    Study on real-time warning system of blind path for the visually impaired based on improved deep residual shrinkage network by Zhezhou Yu, Fuwang Wang

    Published 2025-04-01
    “…The real-time warning system based on DB-DRSN demonstrated strong performance in detecting and warning about blind road jams, greatly enhancing the safety of visually impaired individuals and enabling timely detection and intervention.…”
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    Article