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Showing 181 - 200 results of 1,320 for search '"\"((\\"sources selection functions\\") OR ((\\"sourcess OR \"source) selection function\\"))\""', query time: 0.12s Refine Results
  1. 181
  2. 182

    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
  3. 183

    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
    “…Here, we tested the assumption that this aspect of model design is a major source of uncertainty, especially when projections are made to non‐analogue climates. …”
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    Article
  4. 184

    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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    Article
  5. 185

    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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    Article
  6. 186
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  8. 188

    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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    Article
  9. 189

    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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  10. 190
  11. 191

    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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    Article
  12. 192

    A genome-wide metabolic QTL analysis in Europeans implicates two loci shaped by recent positive selection. by George Nicholson, Mattias Rantalainen, Jia V Li, Anthony D Maher, Daniel Malmodin, Kourosh R Ahmadi, Johan H Faber, Amy Barrett, Josine L Min, N William Rayner, Henrik Toft, Maria Krestyaninova, Juris Viksna, Sudeshna Guha Neogi, Marc-Emmanuel Dumas, Ugis Sarkans, MolPAGE Consortium, Peter Donnelly, Thomas Illig, Jerzy Adamski, Karsten Suhre, Maxine Allen, Krina T Zondervan, Tim D Spector, Jeremy K Nicholson, John C Lindon, Dorrit Baunsgaard, Elaine Holmes, Mark I McCarthy, Chris C Holmes

    Published 2011-09-01
    “…Two of the three hit regions lie within haplotype blocks (at 2p13.1 and 10q24.2) that carry the genetic signature of strong, recent, positive selection in European populations. Genes NAT8 and PYROXD2, both with relatively uncharacterized functional roles, are good candidates for mediating the corresponding mQTL associations. …”
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  13. 193

    Walkability Evaluation of Historical and Cultural Districts Based on Multi-Source Data: A Case Study of the Former Russian Concession in Hankou by Haoran She, Jing Sun, Yuchen Zeng, Wenyu Tu, Guang Ao, Wei Shang

    Published 2025-05-01
    “…Key issues such as low spatial quality and functional disorder were identified, and targeted optimization strategies are proposed. …”
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  14. 194

    Statistically Optimized Near-Field Acoustic Holography Using Prolate Spheroidal Wave Functions by Xuxin Zhang, Jingjun Lou, Jinfang Lu, Ronghua Li, Shijian Zhu

    Published 2023-01-01
    “…Near-field acoustic holography (NAH) is an effective tool for realizing accurate sound field reconstruction in three-dimensional space on the prerequisite that appropriate elementary wave functions are selected or constructed to match the characteristics of the sound sources. …”
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  15. 195

    Source-load coordinated optimal scheduling strategy considering solar thermal biomass utilization under integrated demand response incentives by ZHANG Yewei, WEN Zhong, WANG Can, NI Zhi, YAN Wenwen, HU Chuanbao

    Published 2024-11-01
    “…Secondly, on the load side, both price-based and substitution-based demand responses are introduced to improve the low-carbon performance of the IES through source-load coordinated optimization. Then, a liquid storage carbon capture system and a tiered carbon tax mechanism are introduced in the IES to enhance the system's low-carbon economic benefits, establishing an objective function to maximize the system's total revenue. …”
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  16. 196

    Effect and mode of action of different doses and sources of zinc in weaning pigs using a meta-analytical and systematic review approach by Diana Luise, Clara Negrini, Federico Correa, Paolo Trevisi

    Published 2024-12-01
    “…A total of 309 articles were identified from a literature research from 2001 to 2021; 85 were selected. Articles were divided in 3 datasets to evaluate: 1) the effects of ZnO doses (ZnO database); 2) the efficacy of ZnO on infection models (challenge database); 3) the effect of different Zn sources (special Zn database). …”
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  17. 197

    Enterococcus faecalis strains derived from wild bird provide protection against Clostridium perfringens challenge in locally-sourced broilers by Gerui Zhang, Ainul Zahra, Tianrui Yang, Qiyu Guo, Yan Sun, Yuhang Zhang, Yupeng Gao, Yuxi Zhang, Mingyue Wang, Jingshuo Gong, Haibin Huang, Zhannan Wang, Chunfeng Wang, Yanlong Jiang

    Published 2025-05-01
    “…IntroductionNecrotic enteritis (NE), caused by Clostridium perfringens, has seen a surge in chicken populations recently due to the ban on antibiotic growth promoters in feed.MethodsIn this research, screening and identification of probiotics with strong antagonistic ability against C. perfringens from 34 wild bird fecal isolates, followed by analysis of probiotic characteristics and carbon source metabolic activity. Strains exhibiting favorable antagonistic activity against C. perfringens were subsequently employed in vivo study to evaluate their protective efficacy against C. perfringens challenge in locally-sourced broilers.ResultsThe results showed that Enterococcus faecalis strains YL-EF25 and YL-EF32 were selected based on their ability to inhibit the growth and biofilm formation of C. perfringens. …”
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  18. 198

    Pisum sativum L. as an alternative protein and starch source in Italian Mediterranean buffaloes’ feeding plan: in vitro evaluation of different varieties by Alessandro Vastolo, Roberta Matera, Giulia Passarelli, Serena Calabrò, Matteo Santinello, Gianluca Neglia, Monica Isabella Cutrignelli

    Published 2025-12-01
    “…After multivariate cluster analysis, Ganster, Poisedon and Peps were selected for the second trial in function of highest organic and protein degradability. …”
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  19. 199

    Inversion of Leaf Chlorophyll Content in Different Growth Periods of Maize Based on Multi-Source Data from “Sky–Space–Ground” by Wu Nile, Su Rina, Na Mula, Cha Ersi, Yulong Bao, Jiquan Zhang, Zhijun Tong, Xingpeng Liu, Chunli Zhao

    Published 2025-02-01
    “…This study proposes an improved method based on multi-source data, combining the Sentinel-2A spectral response function (SRF) and computer algorithms, to overcome the limitations of traditional methods. …”
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