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Showing 421 - 440 results of 2,583 for search '((\ sources detection functions\ ) OR (( resource OR resources) selection function\ ))', query time: 0.37s Refine Results
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    New groups of highly divergent proteins in families as old as cellular life with important biological functions in the ocean by Duncan Sussfeld, Romain Lannes, Eduardo Corel, Guillaume Bernard, Pierre Martin, Eric Bapteste, Eric Pelletier, Philippe Lopez

    Published 2025-06-01
    “…Results Here, we used an iterative, network-based approach for remote homology detection, to probe a dataset of 40 million ORFs predicted in marine environments. …”
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    Article
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    ChiMSource improves the accuracy of studies on novel amino acid sequences by predicting alternative sources of mass spectrometry-derived peptides by Umut Çakır, Noujoud Gabed, Ali Yurtseven, Igor Kryvoruchko

    Published 2025-01-01
    “…Here, we present a highly flexible program that predicts alternative chimeric and non-chimeric sources of peptides detected by MS proteomics.…”
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    Article
  6. 426

    Highly Efficient Biphoton Generation from Thin Dense Atomic Ensemble by Heewoo Kim, Hansol Jeong, Han Seb Moon

    Published 2025-04-01
    “…Strongly correlated bright biphotons are generated via spontaneous four‐wave mixing from a dense atomic ensemble based on the 6S1/2–6P3/2–6D5/2 transition of 133Cs. Biphoton source achieves a detected biphoton count rate of 100 kilo‐counts per second, a heralding efficiency of 15%, and a maximum normalized crosscorrelation function value of 100 between the signal and idler photons, despite the low detector efficiency of a silicon avalanche photodetector being less than 25% at 917 nm. …”
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    Article
  7. 427

    Investigation of a novel membrane-base coupled process for the selective concentration of mineral ions from deep seawater by Jianhua Zhu, Li Zhang, Jinzhen Huang, Sawen Liu, Guoqiang Lu, Jie Ren, Sheng He

    Published 2025-01-01
    “…Deep seawater, characterized by low temperature, high purity, and a rich content of beneficial elements, has significant potential as a health resource. Developing a technology to selectively concentration of mineral ions from deep seawater is crucial for obtaining a functional deep seawater mineral solution. …”
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    Article
  8. 428

    A Feature-Selective Independent Component Analysis Method for Functional MRI by Yi-Ou Li, Tülay Adali, Vince D. Calhoun

    Published 2007-01-01
    “…In this work, we propose a simple and effective scheme to incorporate prior knowledge about the sources of interest (SOIs) in independent component analysis (ICA) and apply the method to estimate brain activations from functional magnetic resonance imaging (fMRI) data. …”
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    Article
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    Effects of Covid-19 Pandemic on School Dropout in Selected Primry Schools in Nyarusiza Sub-County Kisoro District. by Sibo, Dusabe Chris Jackson

    Published 2024
    “…The study focused on the effects of the Covid-19 pandemic on school dropout in selected primary schools in the Nyarusiza sub-county Kisoro district. …”
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    Thesis
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    Evolutionary search algorithm for learning activation function of an artificial neural network by Yurshin Viacheslav

    Published 2025-01-01
    “…Neural networks require careful selection of activation functions to optimize performance. …”
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    Article
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    Ti3C2Tx@Pt nanocomposite based colorimetric and electrochemical dual-mode platform for glucose detection by Xuming Sun, Mingyan Zhang, Jinlong Chang, Linyan Xie, Qiongqiong Ren, Wenshuai Jiang, Zhen Jin, Shiqi Pan, Xiuli Yang, Wu Ren

    Published 2025-06-01
    “…Glucose is the main source of energy in cellular metabolism and is essential for normal cellular function and growth. …”
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    Article
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    Automatic detection of floating instream large wood in videos using deep learning by J. Aarnink, J. Aarnink, T. Beucler, T. Beucler, M. Vuaridel, V. Ruiz-Villanueva, V. Ruiz-Villanueva

    Published 2025-02-01
    “…Therefore, the findings of this paper could be used when designing a custom wood detection network. With the growing availability of flood-related videos featuring wood uploaded to the internet, this methodology facilitates the quantification of wood transport across a wide variety of data sources.…”
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    Neurocognitive factors of new drone Pilots: Identifying candidates with expert potential by Miguel A. Ramallo-Luna, Sara Gonzalez-Torre, Álvaro Rodríguez-Mora, Gabriel G. de la Torre

    Published 2025-08-01
    “…Introduction: The increasing use of drones in both military and civilian applications underscores the critical need for the proper selection and training of pilots. Identifying the neurocognitive variables that influence the performance of these pilots can optimize selection and training processes. …”
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    Article
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