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    Sequential patterning of dynamic brain states distinguish Parkinson’s disease patients with mild cognitive impairments by Aaron S. Kemp, A. Journey Eubank, Yahya Younus, James E. Galvin, Fred W. Prior, Linda J. Larson-Prior

    Published 2025-01-01
    “…Individuals in the PD-MCI group spent significantly more time in a dFNC state characterized by low functional network connectivity, relative to participants in both the PD-NC (p = 0.0226) and HC (p = 0.0027) cohorts and tend to spend less time in a state characterized by anti-correlated thalamo-cortical connectivity, relative to both the PD-NC (p = 0.016) and HC (p = 0.0562) groups. A machine-learning method using sequential pattern mining was also found to distinguish among the groups with moderate accuracies ranging from 0.53 to 0.80, revealing distinct sequential patterns in the temporal ordering of dFNC states. …”
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    Integrating Remote Sensing, Landscape Metrics, and Random Forest Algorithm to Analyze Crop Patterns, Factors, Diversity, and Fragmentation in a Kharif Agricultural Landscape by Surajit Banerjee, Tuhina Nandi, Vishwambhar Prasad Sati, Wiem Mezlini, Wafa Saleh Alkhuraiji, Djamil Al-Halbouni, Mohamed Zhran

    Published 2025-06-01
    “…Although remote sensing and GIS are widely used in monitoring croplands, integrating machine learning, remote sensing, GIS, and landscape metrics for the holistic management of this landscape remains underexplored. …”
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    Entropy of Neuronal Spike Patterns by Artur Luczak

    Published 2024-11-01
    “…Neuronal spike patterns are the fundamental units of neural communication in the brain, which is still not fully understood. …”
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    Spatial and Temporal Patterns of Grassland Species Diversity and Their Driving Factors in the Three Rivers Headwater Region of China from 2000 to 2021 by Mingxin Yang, Ang Chen, Wenqiang Cao, Shouxin Wang, Mingyuan Xu, Qiang Gu, Yanhe Wang, Xiuchun Yang

    Published 2024-10-01
    “…The spatial distribution of species diversity showed a pattern of abundance in the southeast and scarcity in the northwest. …”
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    Analysis of Strata Deformation Patterns Induced by Vertical Shaft Sinking Machine Based on Soil Deformation Zoning: A Case Study of the Zhuyuan Bailonggang Sewage Connecting Pipe Project in Shanghai, China by Ping Lu, Fang Chen, Dongqing Nie, Jiangang Han

    Published 2025-02-01
    “…Field measurements with the Plaxis<sup>3D</sup> 24.1 software were performed on the 17# shaft of the Shanghai Zhuyuan Bailonggang sewage connecting the pipe project to analyze the ground deformation patterns during VSM (vertical shaft sinking machine) construction in soft soil areas. …”
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