A specifically designed multi-biotic reduces uremic toxin generation and improves kidney function by Alice Beau, Jane Natividad, Berengère Benoit, Philippe Delerive, Stéphane Duboux, Yuan Feng, Marie Jammes, Cecile Barnel, Giuseppina Sequino, Claudie Pinteur, Griet Glorieux, Denis Fouque, Hubert Vidal, Laetitia Koppe

“…Through in silico data mining, we selected a probiotic strain lacking the capacity to produce UT, i.e. without genes for tryptophanase, tyrosinase and urease. …”
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Unlocking microbiota potential: the role of organic copper in enhancing healthy white shrimp (Penaeus vannamei) farming by Jinzhu Yang, Xiaoyang Yao, Zhonghao Zhang, Gang Lin, Mingzhu Li, Kangsen Mai, Yanjiao Zhang

“…Furthermore, host-selective pressure shaped the unique microbiota composition in the intestine and gill, which differed from the surrounding water and water source, with the gill microbiota potentially serving as a transitional bridge shaping the intestinal microbiota. …”
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Cholinergic Mechanisms of Target Oddball Stimuli Detection: The Late “P300-Like” Event-Related Potential in Rats by A. Ahnaou, R. Biermans, W. H. I. M. Drinkenburg

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A novel rhodamine 6G-based chemosensor for Fe3+ detection in water samples and cellular imaging by Bao-Long Hou, Wenyu Li, Ruirui Feng, Xiumei Yang, Jianli Liu, Cuiling Wang

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A Lightweight YOLOv8s Algorithm for Ceiling Fan Blade Defect Detection With Optimized Pruning and Knowledge Distillation by Qinyuan Huang, Chen Fan, Yuqi Sun, Jiaxiong Huang, Wengziyang Jiang

“…While industrial ceiling fans play a vital role in maintaining efficient airflow and system stability within factory settings, surface defects on their blades that arise over time can disrupt their functionality and create safety hazards. Detecting these surface defects is crucial; however, accurate and rapid detection typically involves complex machine vision algorithms, such as You Only Look Once (YOLO) networks, that require considerable computing resources, which contradicts the industry’s preference for simpler algorithms that can be deployed using low-cost computing power. …”
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A Multisource Dynamic Fusion Network for Urban Functional Zone Identification on Remote Sensing, POI, and Building Footprint by Hangfeng Qiao, Huiping Jiang, Gang Yang, Faming Jing, Weiwei Sun, Chenyang Lu, Xiangchao Meng

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Bacterial community composition and function in different habitats in Antarctic Fildes region revealed by high-throughput sequencing by Yi-He Zhang, Yi-He Zhang, Yong-Qiang Hu, Yin-Xin Zeng, Yin-Xin Zeng, Yin-Xin Zeng, Yin-Xin Zeng, Yin-Xin Zeng, Ting Hu, Wei Han, Yu Du, Zhong Hu, Shan-Shan Meng

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Complex-amplitude-modulated meta-device for optical image processing by Xinchen Jiang, Peicheng Lin, Yeang Zhang, Tao Tao, Yuan Du, Xuecou Tu, Ting Xu, Yan-qing Lu, Jun-long Kou

“…However, considering that electronic convolutional operation always contains million-level parameters and complex calculation process, it consumes a large number of computing resources and time. To overcome these limitations, we proposed a design of complex-amplitude-modulated meta-device which could perform various functions of image processing. …”
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Awareness and Attitude towards Functional Dairy Products among Consumers in Western Province of Sri Lanka by Narayana Mudiyanselage Nayana Kumari Narayana, Sanjeewa Fernando, Gangani Chandima Samaraweera

“…The study was conducted using a pre-tested structured questionnaire during June to November 2018, with the participation of 307 purposively selected consumers. Information on consumers’ tendency towards a healthy life style, awareness and perception on health benefits of functional foods and dairy products, confidence on different information sources etc. were recorded. …”
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Functional Tests\' Sensitivity and Specificity for Return to Sport After ACL Reconstruction: A Scoping Review by Parisa Sedaghati, Mohammad Ghafoori, Ali Parvaneh Sarand

“…By understanding this injury through implementing functional tests, the potential for reinjury can be reduced. …”
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Multimorbidity patterns and function among adults in low- and middle-income countries: a scoping review by Karina Berner, Quinette A Louw, Eugene Nizeyimana, Diribsa Tsegaye Bedada

“…Objectives To map the scope of available evidence on relationships between multimorbidity patterns and functioning among adults in low- and middle-income countries (LMICs), and describe methods used.Design Scoping review guided by a five-step methodological framework and Preferred Reporting Items for Systematic Reviews and Meta-Analyses extension for Scoping Reviews reporting guidelines.Data sources PubMed/MEDLINE, Scopus, EBSCOhost (CINAHL) and Cochrane databases were searched from January 1976 to March 2023, plus reference lists of included studies.Eligibility criteria for selecting studies Peer-reviewed full-text articles or conference proceedings of any design, published in English or Afrikaans, involving adults (>18 years) with multimorbidity living in LMICs. …”
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Ensuring Effective Functioning of Gas-Discharge Counters, Used in the Military Dose Rate Meters, in the Arctic Zone by A. V. Vasiliev, Yu. A. Glukhov, I. Y. Kulagin, K. S. Abaeva

“…At the same time, the region's rich natural resources create conditions for military conflicts and armed struggle of states for possession of these resources. …”
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Ecological processes influencing bacterial community assembly across plant niche compartments by Nazish Roy, Seongeun Yang, Dongmin Lee, Kihyuck Choi

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Surface defect detection model of laser cutting polycrystalline cubic boron nitride tool based on asymptotic fusion strategy by Anfu Zhu, Jiaxiao Xie, Heng Guo, Jie Wang, Zilong Guo, Lei Xu, SiXin Zhu, Zhanping Yang, Bin Wang

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LI-YOLOv8: Lightweight small target detection algorithm for remote sensing images that combines GSConv and PConv. by Pingping Yan, Xiangming Qi, Liang Jiang

“…In the domain of remote sensing image small target detection, challenges such as difficulties in extracting features of small targets, complex backgrounds that easily lead to confusion with targets, and high computational complexity with significant resource consumption are prevalent. …”
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Structure and Functional Properties of Proteins from Different Soybean Varieties as Affected by the 11S/7S Globulin Ratio by Yichen Hou, Lu Huang, Guangliang Xing, Xiaotian Yuan, Xiaoyan Zhang, Dongqing Dai, Xingxing Yuan, Xin Chen, Chenchen Xue

“…This study investigated the protein content, protein composition, and 11S/7S globulin ratios of 411 soybean samples, and then selected six varieties (S1, S2, S3, S4, S5, and S6) for the analysis of the protein structures and functional properties. …”
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A Small-Sample Target Detection Method of Side-Scan Sonar Based on CycleGAN and Improved YOLOv8 by Ye Zheng, Jun Yan, Junxia Meng, Ming Liang

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SDKU-Net: A Novel Architecture with Dynamic Kernels and Optimizer Switching for Enhanced Shadow Detection in Remote Sensing by Gilberto Alvarado-Robles, Isac Andres Espinosa-Vizcaino, Carlos Gustavo Manriquez-Padilla, Juan Jose Saucedo-Dorantes

“…To address these issues, this study proposes the Supervised Dynamic Kernel U-Net (SDKU-Net), a novel architecture designed to enhance shadow detection in complex remote sensing scenarios. SDKU-Net integrates dynamic kernel adjustment, a combined loss function incorporating Focal and Tversky Loss, and optimizer switching to effectively tackle class imbalance and improve segmentation quality. …”
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Enhanced selectivity of carbon quantum dots for metal ion detection through surface modification by heteroatom doping: A study on optical properties and theoretical approach by María Belén Cánchig, Floralba López, Zaillmar Morales-Navarro, Alexis Debut, Karla Vizuete, Thibault Terencio, Manuel Caetano, Juan Pablo Saucedo-Vázquez

“…This study focuses on synthesizing and functionalizing CQDs with various heteroatoms (N, S) to enhance their optical properties and ion selectivity. …”
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SFD-YOLO: A novel framework for subsidence funnels detection in China based on large-scale SAR interferograms by Jing Guo, Zhengjia Zhang, Peifeng Ma, Mengmeng Wang, Xuefei Zhang, Dongdong Li, Bing Sui

“…The model incorporates the DWR-C2f module, which enhances multi-scale feature extraction and significantly improves the detection of small-sized subsidence funnels. Additionally, the innovative Inner-WIoU regression loss function improves the localization accuracy of detection boxes while also alleviates the imbalance between hard and easy samples. …”
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