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Showing 1,001 - 1,020 results of 3,583 for search '((( resource OR sources) selection function ) OR ( sources detection functions ))', query time: 0.42s Refine Results
  1. 1001

    Treatment decisions and surgery variables are predictors of better physical function after total hip and knee arthroplasty: a retrospective cohort study by Janis Nikkhah, Lukas Schöner, Carlos J. Marques, Christoph M. Pros, Reinhard Busse

    Published 2025-06-01
    “…Stepwise selection and multivariate linear regression models were applied to identify variables associated with physical function at discharge and 12 M. …”
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    Design of a Non-Destructive Seed Counting Instrument for Rapeseed Pods Based on Transmission Imaging by Shengyong Xu, Rongsheng Xu, Pan Ma, Zhenhao Huang, Shaodong Wang, Zhe Yang, Qingxi Liao

    Published 2024-12-01
    “…Human–machine interaction software based on PyQt5 was developed, integrating functions such as communication between upper and lower machines, image acquisition, storage, and processing. …”
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  5. 1005

    An Expected Value-Based Symmetric–Asymmetric Polygonal Fuzzy Z-MCDM Framework for Sustainable–Smart Supplier Evaluation by Mohammad Hashemi-Tabatabaei, Maghsoud Amiri, Mehdi Keshavarz-Ghorabaee

    Published 2025-02-01
    “…The rapid adoption of these technologies has led to the emergence of smart SCM, which integrates modern technologies in sourcing, production, distribution, and sales. Supplier evaluation and selection (SES) in smart SCM is a strategic decision impacting the entire supply chain. …”
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  6. 1006

    New Cation Sensors Based on Eugenol-Derived Azo Dyes by José R. A. Coelho, Ana Rita F. Pacheco, Diogo C. Domingues, Ana Rita O. Rodrigues, Akani A. Temitope, Paulo J. G. Coutinho, Maria José G. Fernandes, Elisabete M. S. Castanheira, M. Sameiro T. Gonçalves

    Published 2025-06-01
    “…Eugenol-based azo dyes illustrate how bio-sourced compounds like eugenol can be transformed through synthetic processes into functional and colorful compounds. …”
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  7. 1007

    The Relationship Between Soil and Gut Microbiota Influences the Adaptive Strategies of Goitered Gazelles in the Qaidam Basin by Yiran Wang, Bin Li, Bo Xu, Wen Qin

    Published 2024-12-01
    “…Interactions with soil microbiota can shape the composition and function of the gut microbiota, thereby influencing the hosts’ adaptive strategies. …”
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    Respiratory Rate Estimation from Thermal Video Data Using Spatio-Temporal Deep Learning by Mohsen Mozafari, Andrew J. Law, Rafik A. Goubran, James R. Green

    Published 2024-10-01
    “…Thermal videos provide a privacy-preserving yet information-rich data source for remote health monitoring, especially for respiration rate (RR) estimation. …”
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  12. 1012

    Do capture and survey methods influence whether marked animals are representative of unmarked animals? by John R. Fieberg, Kurt Jenkins, Scott McCorquodale, Clifford G. Rice, Gary C. White, Kevin White

    Published 2015-12-01
    “…The lone exception to this rule was for the cohort of radiocollared moose in Minnesota, which exhibited a slight decrease in detection probabilities over time. Differences in detection probabilities for marked and unmarked animals may not be a significant problem for sightability models, provided that the source of the variability can be captured by model covariates (e.g., heterogeneity is tied to an individual's propensity to be in heavy cover). …”
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  13. 1013

    Machine Learning Aided Resilient Spectrum Surveillance for Cognitive Tactical Wireless Networks: Design and Proof-of-Concept by Eli Garlick, Nourhan Hesham, MD. Zoheb Hassan, Imtiaz Ahmed, Anas Chaaban, MD. Jahangir Hossain

    Published 2025-01-01
    “…Due to the vast nature of interference signals in the frequency bands used by cognitive TWNs, it is non-trivial to acquire manually labeled data sets of all interference signals. Detecting the presence of an unknown and remote interference source in a frequency band from the transmitter end is also challenging, especially when the received interference power remains at or below the noise floor. …”
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    Genome-wide identification and functional characterization of GPCR family genes reveal their key roles in the vitellarium development and egg production in Schistosoma japonicum by Xiaoxu Wang, Chuantao Fang, Guofeng Cheng

    Published 2025-07-01
    “…Selected GPCRs were functionally characterized using whole-mount in situ hybridization, double fluorescence in situ hybridization, and RNA interference. …”
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