Showing 461 - 480 results of 2,894 for search 'features development patterns', query time: 0.14s Refine Results
  1. 461
  2. 462

    Age-Related Features of Reactive Catecholamine Shifts in the Spinal Cord in Acute Somatic Pain: Experimental Study by V. G. Ovsyannikov, A. V. Kapliyev

    Published 2007-08-01
    “…Age-related changes in the pattern of a spinal CA response in rats with ASP show a ontogenetic trend in the development of adrenal responsiveness from the immature generalized forms of an early postnatal period to the definitive differentiated economic reactions of the hypo-to-normergic type and then to the hyperergic destructive reactions of old age.…”
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  3. 463

    Geographical feature and method factors significantly influence the reliability of ecological source information transmission at multi-scale by Kai Li, Wei Wu, Shiqi Tian, Linjuan Li, Zhe Li, Yue Cao

    Published 2025-01-01
    “…Ecological networks play a crucial role in balancing conservation and development, with notable dependencies on spatial scale, particularly within specific scale ranges. …”
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  4. 464

    A correlation research of Ki67 index, CT features, and risk stratification in gastrointestinal stromal tumor by Huali Li, Gang Ren, Rong Cai, Jian Chen, Xiangru Wu, Jianxi Zhao

    Published 2018-09-01
    “…Conclusions Our findings suggest that the Ki67 index is an effective complementation in predicting the prognosis of GISTs, and CT features including size, contour, and margin of the tumor, presence of necrosis or cystic degeneration, and pattern of enhancement provide evidence to support the importance of preoperative assessment.…”
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  5. 465

    Ecological Security Patterns Based on Ecosystem Service Assessment and Circuit Theory: A Case Study of Liaoning Province, China by Bingyi Wang, Yufei Zhang, Hanlong Gu, Zhenxing Bian

    Published 2025-06-01
    “…Constructing ecological security patterns (ESPs) has become a crucial strategy for mitigating environmental stress and promoting sustainable social development. …”
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    GB-SAR Engineering Interference Suppression Method Integrating Amplitude-Phase Feature Analysis and Robust Regression by Wenting Zhang, Tao Lai, Yuanhui Mo, Haifeng Huang, Qingsong Wang, Zhihua Zhou

    Published 2025-01-01
    “…Current research on addressing engineering interference in GB-SAR deformation monitoring remains preliminary, with existing methods exhibiting limitations in interference pattern coverage, feature extraction, and algorithm robustness. …”
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  9. 469

    An Efficient Text-Mining Framework of Automatic Essay Grading Using Discourse Macrostructural and Statistical Lexical Features by Husam M. Alawadh, Talha Meraj, Lama Aldosari, Hafiz Tayyab Rauf

    Published 2024-12-01
    “…Moreover, the proposed study covered four different aspects of student-written essays and extracted cohesion features via sentence connectivity, coherence via sentence relatedness, statistical lexical features via the Term Frequency (TF)-Inverse Document Frequency (IDF) method, and discourse macrostructural features via calculating the unique pattern of each essay. …”
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    Contactless Detection of Abnormal Breathing Using Orthogonal Frequency Division Multiplexing Signals and Deep Learning in Multi-Person Scenarios by Muneeb Ullah, Xiaodong Yang, Zhiya Zhang, Tong Wu, Nan Zhao, Lei Guan, Malik Muhammad Arslan, Akram Alomainy, Hafiza Maryum Ishfaq, Qammer H. Abbasi

    Published 2025-01-01
    “…A hybrid deep learning model, VGG16-GRU, combining convolutional neural networks (CNNs) and gated recurrent units (GRUs), was developed to capture both spatial and temporal features of continuous respiratory data. …”
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  13. 473

    Common neural patterns of substance use disorder: a seed-based resting-state functional connectivity meta-analysis by Xiaonan Zhang, Haoyu Zhang, Yingbo Shao, Yang Li, Feifei Zhang, Hui Zhang

    Published 2025-06-01
    “…Identifying common neurobiological patterns in SUD could improve both our understanding of the disorder and the development of treatment strategies. …”
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  14. 474

    Associations of type D personality with amplitude-time ECG parameters by O. V. Kremleva

    Published 2024-06-01
    “…The purpose of the study is to identify the features of amplitude-time ECG parameters in type D personalities and to establish associations of amplitude-time ECG patterns in a non-cardiological sample of women with type D indicators and its components — NA and SI. …”
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  15. 475

    m5C regulator‐mediated methylation modification patterns and tumor microenvironment infiltration characteristics in acute myeloid leukemia by Qiang Wen, ShouJun Wang, Lili Hong, Siyu Shen, Yibo He, Xianfu Sheng, Xiaofen Zhuang, Shiliang Chen, Ying Wang, Haifeng Zhuang

    Published 2024-01-01
    “…Meanwhile, assessing the patterns of m5C modification among individual cancer samples is of great importance, which provides insights into cell infiltration features within TME, thereby helping to develop relevant immunotherapy and predict patient prognostic outcomes.…”
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  16. 476

    MAJOR TRENDS IN THE WORLD JUDO SPORT DEVELOPMENT by N. Dimitrova

    Published 2020-12-01
    “…Along with the general patterns and trends, the features of the main leading schools in world judo are also distinguished. …”
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  17. 477
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    Spatiotemporally Heterogeneous Effects of Urban Landscape Pattern on PM<sub>2.5</sub>: Seasonal Mechanisms in Urumqi, China by Xingchi Zhou, Yantao Xi, Shuangqiao Wang, Yuanfan Zhang

    Published 2025-05-01
    “…PM<sub>2.5</sub> pollution presents a significant risk to urban habitability. The urban landscape pattern (ULP) serves as a crucial regulator that profoundly influences the spatiotemporal distribution features of PM<sub>2.5</sub>. …”
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  19. 479

    Analyzing gait data measured by wearable cyborg hybrid assistive limb during assisted walking: gait pattern clustering by Yasuko Namikawa, Hiroaki Kawamoto, Hiroaki Kawamoto, Hiroaki Kawamoto, Akira Uehara, Akira Uehara, Yoshiyuki Sankai, Yoshiyuki Sankai, Yoshiyuki Sankai

    Published 2024-12-01
    “…For each measured item, principal component analysis was applied to the gait time-series data to extract the features of the gait patterns, followed by hierarchical cluster analysis to generate subgroups based on the principal component scores. …”
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