Showing 801 - 820 results of 1,810 for search '((( resources OR resources) detection functions ) OR ( sources detection function ))', query time: 0.27s Refine Results
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    PATH PLANNING AND OBSTACLE AVOIDANCE METHODS FOR AUTONOMOUS MOBILE ROBOTS by Ihor Berizka

    Published 2024-12-01
    “…The modification of the classical artificial potential field method using the Gaussian function to describe repulsive forces is an example of optimizing the method for systems with constrained resources. …”
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    Evaluating LiDAR‐Derived Structural Metrics for Predicting Bee Assemblages in Managed Forests by Marissa H. Chase, Alexandra Harmon‐Threatt, Samuel F. Stickley, Brian Charles, Jennifer M. Fraterrigo

    Published 2025-04-01
    “…We investigated whether structural metrics derived from light detection and ranging (LiDAR) data could predict bee diversity and abundance, as well as bee functional trait composition within managed and unmanaged forests in the central hardwood region in southern Illinois, United States of America. …”
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    Major diet of common carp (Cyprinus carpio L.) over different developmental stages in rice-field: Agroecological interactions between fishes and rice in Sichuan, China, based on DN... by Mengling Wu, Ruisen Lu, Wenhao Huang, Hongyi Liu, Yan Zou, Ling Tao, Yun Sun, Qiong Wang, Keyi Tang

    Published 2024-12-01
    “…We examined variations in the dietary compositions of common carp across three developmental stages to capture adaptations to seasonal changes in food resource availability. Additionally, we detected insect pests (species from the genera Macrosteles and Mythimna) and weeds (Eleusine indica, Alternanthera philoxeroides, Mazus japonicus, and Poa annua) in the diets of common carp, confirming the ecological benefits of common carp in rice fields by reducing insect pests and weeds. …”
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    Transcriptomic analysis reveals that selenium-enriched Lactobacillus plantarum alleviates high -salinity stress in common carp through lipid metabolism and ferroptosis signalling p... by Xinchi Shang, Xinghua Che, Longwu Geng, Qing Zhang, Haijun Wei, Wang Li, Xiaodan Shi, Wei Xu

    Published 2025-09-01
    “…Inland water resource salinisation is a global problem. High salinity leads to increased pressure on the survival of aquatic animals, severely limiting the development of the aquaculture industry. …”
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    Genome-wide identification and expression analyses of CYP450 genes in Chrysanthemum indicum by Yuyuan Chen, Tongjun Zhou, Jian Zhong, Yuxian Xu, Peng Zhang, Xiaoyu Yue, Hua Zhang, Ming Sun, Xuehao Fu

    Published 2025-05-01
    “…Conclusions The genome-wide analyses of cytochrome P450 superfamily offers essential genomic resources for functional studies of CiCYP450 genes, and is significant for the molecular breeding of Chrysanthemum.…”
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    Synergizing Multi-Temporal Remote Sensing and Systemic Resilience for Rainstorm–Flood Risk Zoning in the Northern Qinling Foothills: A Geospatial Modeling Approach by Dong Liu, Jiaqi Zhang, Xin Wang, Jianbing Peng, Rui Wang, Xiaoyan Huang, Denghui Li, Long Shao, Zixuan Hao

    Published 2025-06-01
    “…This framework quantitatively evaluates the nonlinear response mechanisms of town–village systems to flood disasters, emphasizing the synergistic effects of spatial scale, morphology, and functional organization. The proposed framework uniquely integrates three innovative modules: (1) a hybrid risk identification engine combining normalized difference vegetation index (NDVI) temporal anomaly detection and spatiotemporal hotspot analysis; (2) a morpho-functional resilience quantification model featuring a newly developed spatial morphological resilience index (SMRI) that synergizes landscape compactness, land-use diversity, and ecological connectivity through the entropy-weighted analytic hierarchy process (AHP); and (3) a dynamic scenario simulator embedding rainfall projections into a coupled hydrodynamic model. …”
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    Exploring genetic diversity and genomic inbreeding across local beef cattle breeds by G. Gomez Proto, E. Mancin, A. Quaglia, F. Sbarra, R. Mantovani, C. Sartori

    Published 2025-07-01
    “…Beef cattle breeds from Central and Southern Italy, such as Marchigiana, Chianina, Romagnola, Maremmana, and Podolica, represent a unique genetic resource shaped by centuries of natural and artificial selection. …”
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