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  1. 501

    Estimating Leaf Chlorophyll Fluorescence Parameters Using Partial Least Squares Regression with Fractional-Order Derivative Spectra and Effective Feature Selection by Jie Zhuang, Quan Wang

    Published 2025-02-01
    “…Chlorophyll fluorescence (ChlF) parameters serve as non-destructive indicators of vegetation photosynthetic function and are widely used as key input parameters in photosynthesis–fluorescence models. …”
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  2. 502

    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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  3. 503

    A METHOD FOR INVESTIGATING MACHINE LEARNING ATTACKS ON ARBITER-TYPE PHYSICALLY UNCLONABLE FUNCTIONS by Yuri A. Korotaev

    Published 2025-02-01
    “…This approach allows for a preliminary evaluation of the effectiveness of different algorithms for attacking APUFs without access to challenge-response datasets from real instances of physically unclonable functions. Attacks were conducted on models of basic and modified variants of APUFs from the open-source library "pypuf", using classical logistic regression and artificial neural networks (ANNs). …”
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  4. 504

    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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  5. 505

    Bifidobacterium animalis subsp. lactis genome resources and metabolite profiling at the strain level and their ability to alleviate anxiety-like behavior in a sleep-deprived mouse... by Yao-Kun Zhang, Liang Zhang, Xue Ni, Shu-Wen Zhang, Min-Zhi Jiang, Si-Lu Zhang, Guo-Xun Xiao, He Jiang, Ming-Xia Bi, Yu-Lin Wang, Chang Liu, Shuang-Jiang Liu

    Published 2025-12-01
    “…In vivo, WLBA3 reduced inflammation and oxidative stress by inhibiting the NLRP3 inflammasome pathway and modulating gut microbiota (e.g., Lactobacillus and Alistipes), which in turn significantly improved weight gain and fatigue resistance, attenuated cognitive function, and anxiety-like behavior. These findings provide insights into the diversity of B. animalis subsp. lactis strain resources and highlight the potential of WLBA3 as a candidate for alleviating sub-health symptoms.…”
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    A Surrogate Piecewise Linear Loss Function for Contextual Stochastic Linear Programs in Transport by Qi Hong, Mo Jia, Xuecheng Tian, Zhiyuan Liu, Shuaian Wang

    Published 2025-06-01
    “…We test our method with a binary route selection task—the simplest setting to isolate and assess the impact of our modeling approach on decision quality. …”
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  8. 508

    Elucidating the role of compositional and processing variables in tailoring the technological functionalities of plant protein ingredients by Lorenzo Barozzi, Stella Plazzotta, Ada Nucci, Lara Manzocco

    Published 2025-01-01
    “…However, other extraction, purification, and drying methods can be properly combined, resulting in specific PP ingredient functionalities. Overall, this review highlights that, besides protein purity and source, knowledge of the processing history is required to select PP ingredients with desired functionalities.…”
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  9. 509

    CHILDREN’S MAP READING ABILITIES IN RELATION TO DISTANCE PERCEPTION, TRAVEL TIME AND LANDSCAPE by Aikaterini APOSTOLOPOULOU, Aikaterini KLONARI

    Published 2022-01-01
    “… Children’s cognition of distance is influenced by functional distance and estimations of travel time which increases with the presence of natura l or artificial barriers. …”
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    Antimicrobial Activity of Chitosan from Different Sources Against Non-<i>Saccharomyces</i> Wine Yeasts as a Tool for Producing Low-Sulphite Wine by Francesco Tedesco, Rocchina Pietrafesa, Gabriella Siesto, Carmen Scieuzo, Rosanna Salvia, Patrizia Falabella, Angela Capece

    Published 2024-10-01
    “…Finally, the efficiency of different antimicrobial treatments was evaluated during laboratory-scale fermentations inoculated with a selected <i>S. cerevisiae</i> strain. The tested strains exhibited medium/high resistance to the chitosan; in some cases, the behaviour varied in the function of species/strain, and only four strains exhibited different resistance levels, depending on the chitosan source. …”
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    A Wind Power Density Forecasting Model Based on RF-DBO-VMD Feature Selection and BiGRU Optimized by the Attention Mechanism by Bixiong Luo, Peng Zuo, Lijun Zhu, Wei Hua

    Published 2025-02-01
    “…Wind power, as a pivotal renewable energy source, is anticipated to play a critical role in ensuring the reliability, security, and stability of the global energy supply system. …”
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  19. 519

    Implementation and Effectiveness of community-based resources to increase cervical cancer screening uptake among women living in sub-Saharan Africa: A protocol for systematic revie... by Danladi B Adamu, Nicole Robertson, David Weller, Christine Campbell

    Published 2019-08-01
    “…# Background Sub-Saharan Africa (SSA) accounts for about 70% of the global burden of cervical cancer; this is due to several factors including lack of access to cervical cancer screening, low knowledge of cervical cancer and screening services, poor-functioning health systems, insufficient and poorly trained health workers, and the high burden of human immunodefiency virus (HIV) infection. …”
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