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Showing 201 - 220 results of 2,814 for search '((\ sources selection functions\ ) OR (( resource OR source) selection function\ ))', query time: 0.31s Refine Results
  1. 201

    Encapsulation Techniques to Enhance Astaxanthin Utilization as Functional Feed Ingredient by Matteo Vitale, Joaquin Gomez-Estaca, Janete Chung, Seong-Chea Chua, Daniela Maria Pampanin

    Published 2025-03-01
    “…Overall, these findings demonstrate the potential of the selected encapsulation techniques to optimize the stability, bioavailability, and functionality of AX, providing valuable insights to improve its utilization as a functional ingredient in fish feed formulations.…”
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    Article
  2. 202

    Functionalized hydrogel-based colorimetric sensor for Cu2+ detection by Minh-Kha Nguyen, Chau-Nha-Trang Nguyen, Khanh-Binh Vo

    Published 2025-01-01
    “…., highly toxic and bioaccumulative contaminants in water sources, has become a critical environmental concern. …”
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  3. 203

    CERTAINTY/UNCERTAINTY AS GRAMMATICAL AND AS A HIDDEN FUNCTIONAL-SEMANTIC CATEGORY by Hanna M. Udovichenko

    Published 2019-06-01
    “…For the pair of languages being studied, Ukrainian (source language, non-article) and English (target language, article) were selected. …”
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    Article
  4. 204

    The influence of a conservation‐based grazing program on greater sage‐grouse habitat selection by Jennifer E. Helm, Elizabeth G. Simpson, Lorelle I. Berkeley, Mark Szczypinski, Shea P. Coons, Victoria J. Dreitz

    Published 2025-06-01
    “…We used resource selection functions to assess sage‐grouse selection for pastures enrolled in a CGP as well as plant functional type and topography. …”
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  5. 205
  6. 206

    An energy storage planning method for improving the security of receiving-end system considering the selection of power conversion systems by Haibo Zhang, Kai Wei, Yukang Hu, Quan Hu

    Published 2024-02-01
    “…In order to compensate for the economic cost of ES investment, its energy storage function should also be used to participate in peak shaving during normal operation. …”
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    Article
  7. 207

    Adaptive Radio Access Technology Selection Algorithm for Heterogeneous Wireless Networks by Folashade Olamide Ariba, Festus Kehinde Ojo, Zachaeus Adeyemo

    Published 2024-07-01
    “…This study deployed an adaptive RAT selection scheme model to allocate users to the best RAT with the use of the cost function variable. …”
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    Article
  8. 208

    Application of Open-Source, Low-Code Machine-Learning Library in Python to Diagnose Parkinson's Disease Using Voice Signal Features by Daniel Hilário da Silva, Caio Tonus Ribeiro, Leandro Rodrigues da Silva Souza, Adriano Alves Pereira

    Published 2025-03-01
    “…Seventeen ML algorithms were applied to a dataset of voice recordings from Healthy Control and PD individuals, sourced from a publicly available repository. We leveraged the PyCaret Python library's ML algorithms and functions, which were introduced in this article, to demonstrate their simplicity and effectiveness in dealing with real-world data. …”
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  9. 209

    A New Modeling Method for Meteorological Information of Regional Distributed Photovoltaic Power Generation Based on Multi‐Source Information Fusion by Yuhang Wang, Dengxuan Li, Wenwen Ma, Xi Zhang, Honglu Zhu

    Published 2025-08-01
    “…Precise meteorological information is the foundation for achieving these functions. However, DPV sites are typically scattered with small installed capacities and generally lack dedicated weather stations. …”
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    Article
  10. 210

    Venturing Into the Unknown: The Importance of Variable Selection When Modelling Alien Species Under Non‐Analogue Climatic Conditions by Tom Vorstenbosch, Franz Essl, Bernd Lenzner, Johannes Wessely, Stefan Dullinger

    Published 2024-10-01
    “…Among studies that have addressed reasons for model prediction variability, the impact of climatic variable selection has received limited attention and is rarely assessed in sensitivity analyses. …”
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    Article
  11. 211

    Selected fruit pomaces: Nutritional profile, health benefits, and applications in functional foods and feeds by Harsh Kumar, Shivani Guleria, Neetika Kimta, Eugenie Nepovimova, Rajni Dhalaria, Daljeet Singh Dhanjal, Nidhi Sethi, Suliman Y. Alomar, Kamil Kuca

    Published 2024-01-01
    “…Owing to these advantages, scientists have begun evaluating the nutritional content of various fruit pomace varieties as well as the chemical composition in different bioactive constituents, which have significant health benefits and can be used to formulate a variety of food products with notable nutraceutical and functional potential. So, the purpose of this review is to understand the existing familiarity of nutritional and phytochemical composition of selected fruit pomaces, those derived from pineapple, orange, grape, apple, and tomato. …”
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  12. 212

    Changing grizzly bear space use and functional connectivity in response to human disturbance in the southern Canadian Rocky Mountains by Eric C. Palm, Clayton D. Apps, Tal Avgar, Melanie Dickie, Bruce N. McLellan, Joseph M. Northrup, Michael A. Sawaya, Julie W. Turner, Jesse Whittington, Erin L. Landguth, Katherine A. Zeller, Clayton T. Lamb

    Published 2025-08-01
    “…We used integrated step‐selection functions (iSSF) to model movement and habitat selection for 109 GPS‐collared grizzly bears across an 85,000 km2 multi‐use landscape in southeastern British Columbia and southwestern Alberta. …”
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  13. 213

    Optimizing Hyperspectral Desertification Monitoring Through Metaheuristic-Enhanced Wavelet Packet Noise Reduction and Feature Band Selection by Weichao Liu, Jiapeng Xiao, Rongyuan Liu, Yan Liu, Yunzhu Tao, Tian Zhang, Fuping Gan, Ping Zhou, Yuanbiao Dong, Qiang Zhou

    Published 2025-07-01
    “…We applied Particle Swarm Optimization (PSO) to fine-tune the Wavelet Packet (WP) decomposition levels, thresholds, and wavelet basis function, ensuring optimal spectral decomposition and reconstruction. …”
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  14. 214

    Raw-Data Driven Functional Data Analysis with Multi-Adaptive Functional Neural Networks for Ergonomic Risk Classification Using Facial and Bio-Signal Time-Series Data by Suyeon Kim, Afrooz Shakeri, Seyed Shayan Darabi, Eunsik Kim, Kyongwon Kim

    Published 2025-07-01
    “…To overcome these challenges, this paper proposes a Multi-Adaptive Functional Neural Network (Multi-AdaFNN), a novel method that integrates functional data analysis with deep learning techniques. …”
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  17. 217

    Forecasting springtime rainfall in southeastern Australia using empirical orthogonal functions and neural networks by S. Marčelja

    Published 2025-08-01
    “…In addition to standard ocean climate indicators such as El Niño or the Indian Ocean Dipole, other typical patterns of variation are captured in terms of the temperatures of selected ocean areas. When characteristic patterns of correlation are discovered, they are included in the predictor selection in the form of expansion in terms of the empirical orthogonal functions (EOFs). …”
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  18. 218

    Phage display of cDNA libraries: enrichment of cDNA expression using open reading frame selection by Peggy Ho Faix, Michael A. Burg, Michelle Gonzales, Edward P. Ravey, Andrew Baird, David Larocca

    Published 2004-06-01
    “…The high level of cDNA expression obtained by ORF selection suggests that ORF-enriched phage cDNA libraries prepared by these methods will be useful as functional genomics tools for identifying natural ligands from various source tissues.…”
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  19. 219
  20. 220

    Metal and metal oxide nanomaterials for heavy metal remediation: novel approaches for selective, regenerative, and scalable water treatment by David B. Olawade, David B. Olawade, David B. Olawade, Ojima Z. Wada, Bamise I. Egbewole, Oluwaseun Fapohunda, Abimbola O. Ige, Sunday Oluwadamilola Usman, Olawale Ajisafe

    Published 2024-10-01
    “…The review identifies several promising nanomaterials, such as graphene oxide, carbon nanotubes, and metal-organic frameworks, which exhibit high surface areas, tunable surface chemistries, and excellent adsorption capacities. Surface functionalization with specific functional groups (e.g., carboxyl, amino, thiol) significantly enhances the selectivity for target heavy metal ions. …”
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