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  1. 321

    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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  2. 322

    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
  3. 323

    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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    Article
  4. 324

    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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  5. 325

    Effect of cochlear implant surgery on vestibular function: meta-analysis study by Iman Ibrahim, Sabrina Daniela da Silva, Bernard Segal, Anthony Zeitouni

    Published 2017-06-01
    “…Study selection Published studies of adult patients who received unilateral or bilateral CIs and whose vestibular function or postural stability was assessed before and after surgery. …”
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  6. 326

    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
  7. 327

    ANTHOCYANIN AS NATURAL COLORANT: A REVIEW by Winda Nurtiana

    Published 2019-11-01
    “…Today, natural colorant is consumer’s selection because it has functional function. One of natural colorant is anthocyanin. …”
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  8. 328

    A Hybrid and Modular Integration Concept for Anomaly Detection in Industrial Control Systems by Christian Goetz, Bernhard G. Humm

    Published 2025-04-01
    “…Therefore, in this paper, we present a modular and hybrid concept that enables the integration of efficient and effective anomaly detection while optimising the use of available resources under consideration of industrial requirements. …”
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  9. 329

    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
    “…Based on global occurrence data, we fitted SDMs as functions of seven bioclimatic variable sets that only differed in the identity of two temperature variables. …”
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    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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    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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    Real time wire rope detection method based on Rockchip RK3588 by Mengpeng Qian, Yong Wang, Shaoqing Liu, Zhanghou Xu, Zhenshan Ji, Ming Chen, Hailong Wu, Zuchao Zhang

    Published 2025-08-01
    “…To enhance non-destructive wire rope inspection, a Mini-YOLO model was developed by integrating MobileNetV3, the Coordinate Attention (CA) mechanism, and a novel loss function, Inner-IoU, into the YOLOv8 framework. This paper’s innovation lies not in creating algorithmic components from scratch, but in their synergistic integration and targeted optimization to solve the specific challenges of real-time defect detection on resource-constrained edge devices. …”
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  19. 339

    Object detection with afordable robustness for UAV aerial imagery: model and providing method by Viacheslav Moskalenko, Artem Korobov, Yuriy Moskalenko

    Published 2024-08-01
    “…The model and method for ensuring the robustness of resource-constrained neural network systems for object detection in aerial video surveillance. …”
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