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Showing 901 - 920 results of 2,295 for search '((\ source selection functions\ ) OR (( resources OR resources) detection function\ ))', query time: 0.28s Refine Results
  1. 901
  2. 902

    Aperçu sanitaire et architectural des bâtiments de transit pour les émigrants européens by Anne Bosser

    Published 2017-02-01
    “…They were designed for the reception of the candidates for emigration, their selection, disinfection, control, export or repatriation. …”
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    Article
  3. 903

    Bioluminescence and environmental light drive the visual evolution of deep-sea shrimp (Oplophoroidea) by Danielle M. DeLeo, Heather D. Bracken-Grissom

    Published 2025-02-01
    “…In pelagic environments, vertically migrating animals can experience drastic changes to their lighting environment across depth, subjecting them to unique selective pressures, possibly to distinguish between changes in ambient light and bioluminescent sources. …”
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  4. 904

    T cell-related diagnostic model and the underlying mechanism related to PRF1-mediated glycolysis in sepsis: evidences from single-cell, bulk transcriptomics, and experiment validat... by Fu Tian, Hui Chen, Zhicheng Huang, Kai Qiu

    Published 2025-08-01
    “…Methods Through downloading the single-cell RNA-sequencing (scRNA-seq) and RNA-seq data from online source, a series of bioinformatics methods including principal component analysis (PCA), differential expression analysis, and least absolute shrinkage and selection operator (LASSO) was used for selection of the T cell-related signatures. …”
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  5. 905

    PhenoVision: A framework for automating and delivering research‐ready plant phenology data from field images by Russell Dinnage, Erin Grady, Nevyn Neal, Jonn Deck, Ellen Denny, Ramona Walls, Carrie Seltzer, Robert Guralnick, Daijiang Li

    Published 2025-08-01
    “…We close by discussing next steps, including automating phenology annotations, adding new phenology targets, for example leaf phenology, and further integration with other resources to form a global central database integrating all in situ plant phenology resources.…”
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    Article
  6. 906

    The challenge of triple intestinal parasite infections in immigrants—A call for comprehensive differential diagnosis by Emmanuel Edwar Siddig, Ayman Ahmed

    Published 2024-11-01
    “…This case highlights the necessity of heightened awareness, early detection, and effective management of parasitic infections to enhance public health efforts and minimize the spread of these diseases. …”
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  7. 907

    Spatial distribution characteristics and influencing factors of milk tea stores in Wuhan based on sDNA and OPGD models. by Wentao Yang, Xinrui Zhan, Dinghui Liu, Huade Zhu

    Published 2025-01-01
    “…We then examined the influencing factors by combining spatial design network analysis, optimal parameters-based geographical detection, and location-based service big data. Our results revealed the following: (1) The spatial distribution of stores was concentrated in areas with high closeness and betweenness centrality, forming a multi-core "northwest-southeast" distribution pattern with significant spatial positive correlation. (2) The stores' spatial pattern was influenced by the road network betweenness and the presence of office buildings, shopping malls, shopping centers, and tourism resources. …”
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  8. 908

    A mmWave JCAS System for Real-Time High-Data Rate Communication and RADAR Sensing by Markus Petri, Nebojsa Maletic

    Published 2025-01-01
    “…This paper presents a real-time millimeter-wave (mmWave) joint communication and sensing (JCAS) system, supporting bi-directional data communication with up to 5.8 Gbit/s coded data rate as well as mono-static radio detection and ranging (RADAR) with a range resolution of 6.7 cm and up to 2.1 kHz sensing rate. …”
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    FORECASTING THE GROUNDWATER LEVEL OF CEMENT RAW MATERIALS DEPOSIT BASED ON DYNAMIC NEIGHBORHOOD MODELS by I. A. Sedykh

    Published 2018-09-01
    “…After the parametric identification on the teaching data selection, the mathematical model is checked on the test sample.Discussion and Conclusions. …”
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  11. 911

    A dataset of hidden small non-coding RNA in the testis of heat-stressed models revealed by Pandora-seq by Mailin Gan, Yuhang Lei, Kai Wang, Yan Wang, Tianci Liao, Jianfeng Ma, Li Zhu, Linyuan Shen

    Published 2024-07-01
    “…Subsequently, we conducted functional enrichment analysis on the potential predicted target genes of differentially expressed miRNAs and tsRNAs. …”
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    Insect seedling herbivory is influenced by multiple factors, but the plant apparency theory is more supported than other hypotheses – A case study in a subtropical forest by Baozhu Yuan, Bo Wang

    Published 2025-04-01
    “…This, in turn, exerts a significant influence on forest community diversity and structure, as well as ecosystem function and stability. Notable variation in herbivory has been detected both among and within plant species. …”
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  16. 916

    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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    Evaluation of the coupling coordination effect of Hefei Rail transit station area based on supply and demand matching. by Wangyang Gui, Mengnan Cheng, Tong Zhang, Yifei Guo, Bin Xu

    Published 2025-01-01
    “…The coupling of supply and demand in the rail transit station area is an important driving force for ensuring the balanced development between the traffic functions and the place performance of the rail transit station area. …”
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  20. 920

    Optimization of Adversarial Reprogramming for Transfer Learning on Closed Box Models by Alexander Bott, Moritz Siems, Alexander Puchta, Jurgen Fleischer

    Published 2025-01-01
    “…While it has been shown that this concept can work well in image classification, and a further modification has been developed to classify time series features, this work focuses primarily on the remaining key challenges such as the selection and comparison of appropriate loss functions, the optimisation of hyperparameters using Bayesian methods, and data labelling in the absence of ground truth. …”
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