Development of curd semi-finished product with functional properties by L. Yu. Lavrova, E. L. Bortsova, S. A. Ermakov

“…Thanks to the research done, a curd product with functional properties and high quality and safety indicators was obtained, which can be recommended for feeding various groups of the adult population and in the diets of therapeutic and preventive nutrition.…”
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RQdeltaCT: an open-source R package for relative quantification of gene expression using delta Ct methods by Daniel Zalewski, Anna Bogucka-Kocka

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Circulating cell-free DNA methylation patterns indicate cellular sources of allograft injury after liver transplant by Megan E. McNamara, Sidharth S. Jain, Kesha Oza, Vinona Muralidaran, Amber J. Kiliti, A. Patrick McDeed, Digvijay Patil, Yuki Cui, Marcel O. Schmidt, Anna T. Riegel, Alexander Kroemer, Anton Wellstein

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Enhanced skill optimization algorithm: Solution to the stochastic reactive power dispatch framework with optimal inclusion of renewable resources using large‐scale network by Noor Habib Khan, Yong Wang, Raheela Jamal, Sheeraz Iqbal, Mohamed Ebeed, Yazeed Yasin Ghadi, Z. M. S. Elbarbary

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Optimized decomposition and identification method for multiple power quality disturbances by Wang Zhaoqing, Chang Yanzhao, Chen Jianlei, Bao Weiyu

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Advances in the detection of virulence genes of Staphylococcus aureus originate from food by Yingying Zhao, Dandan Xia, Panpan Ma, Xiaofeng Gao, Wenyi Kang, Jinfeng Wei

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Feature selection using a multi-strategy improved parrot optimization algorithm in software defect prediction by Qi Fei, Guisheng Yin, Zhian Sun

“…Finally, to further enhance the classification performance of defect prediction, a heterogeneous data stacking ensemble learning algorithm (HEDSE) based on feature selection is proposed. Experimental evaluations on 16 open-source software defect datasets indicate that the proposed HEDSE outperforms existing methods, providing a novel and effective solution for software defect prediction. …”
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Assessing the stability of indoor farming systems using data outlier detection by Jean Pompeo, Ziwen Yu, Chi Zhang, Songzi Wu, Ying Zhang, Celina Gomez, Melanie Correll

“…The residual analysis highlighted that outliers could be attributed to potential issues such as sensor noise, drift, or other sources of uncertainty in data collection. Across different trials, the system displayed varying degrees of resistance to cumulative Agr.Ops, with some trials showing increased resilience over time.DiscussionThe alternative decomposition method used effectively identified outliers and provided valuable insights into the functionality of the system under different operational loads. …”
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MeStanG—Resource for High-Throughput Sequencing Standard Data Sets Generation for Bioinformatic Methods Evaluation and Validation by Daniel Ramos Lopez, Francisco J. Flores, Andres S. Espindola

“…Metagenomics analysis has enabled the measurement of the microbiome diversity in environmental samples without prior targeted enrichment. Functional and phylogenetic studies based on microbial diversity retrieved using HTS platforms have advanced from detecting known organisms and discovering unknown species to applications in disease diagnostics. …”
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Enhancing the power quality in radial electrical systems using optimal sizing and selective allocation of distributed generations. by Bachirou Bogno, Deli Goron, Nisso Nicodem, S Shanmugan, Dieudonné Kidmo Kaoga, Kitmo, Akhlaque Ahmad Khan, Yasser Fouad, Michel Aillerie

“…Accordingly, a proposed configuration system is shown in this work to inject multiple renewable energy sources (MRES) from selected regulated nodes. The feasibility of the proposed system is evaluated using particle swarm optimization (PSO), which was used to locate stable nodes and locations, sensitive to voltage fluctuations. …”
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Improving dependability with low power fault detection model for skinny-hash. by Sonal Arvind Barge, Gerardine Immaculate Mary

“…Two fault detection approaches are proposed to detect faults in cryptographic algorithms running on IoT devices. …”
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Synthesis and properties of carbon quantum dots as an antimicrobial agent and detection of ciprofloxacin by Fangzhou Shen, Zhaoyang Lu, Kangli Yan, Kang Luo, Shuchen Pei, Pu Xiang

“…This study introduces a novel approach for the fabrication of N-CQDs derived from natural botanical sources, underscoring their potential dual functionality as fluorescent sensors and antimicrobial materials.…”
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Study on lightweight strategies for L-YOLO algorithm in road object detection by Ji Hong, Kuntao Ye, Shubin Qiu

“…The demand for real-time, efficient object detection systems is growing. However, traditional algorithms often suffer from large parameter sizes and high computational costs, limiting their applicability in resource-constrained environments. …”
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Water quality anomaly detection research based on GRU-PINN model by Zhao Xinyu

“…Maintaining high-quality water resources is essential for sustainable urban water resource management and public health. …”
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SR-DETR: Target Detection in Maritime Rescue from UAV Imagery by Yuling Liu, Yan Wei

“…These outcomes highlight the practicality and reliability of our method in detecting individuals overboard, contributing to more precise and resource-efficient solutions for real-time maritime rescue efforts.…”
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SWMD-YOLO: A Lightweight Model for Tomato Detection in Greenhouse Environments by Quan Wang, Ye Hua, Qiongdan Lou, Xi Kan

“…This study proposes SWMD-YOLO, a lightweight multi-scale detection network optimized for greenhouse scenarios. …”
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Function of boundary rivers in hydropolitics cooperation:Danube river study by Murad Kaviani Rad, Afshin Motaghi Disfani, Hossein Mokhtari Hashi, Ahmad Rashidinejad

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Comparative Analysis of Deep Learning Models for Intrusion Detection in IoT Networks by Abdullah Waqas, Sultan Daud Khan, Zaib Ullah, Mohib Ullah, Habib Ullah

“…However, the constrained processing capacities and resource limitations of IoT networks make them especially susceptible to cyber threats. …”
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RipFinder: real-time rip current detection on mobile devices by Fahim Khan, Akila de Silva, Ashleigh Palinkas, Gregory Dusek, James Davis, Alex Pang

“…To address this, we propose a client-server ML model-based computer vision system designed specifically to improve rip current detection accuracy. This novel approach enables the app to function with or without internet connectivity, proving particularly beneficial in regions without lifeguards or internet access. …”
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Macroeconomic Effects of Oil Price Shocks in the Context of Geopolitical Events: Evidence from Selected European Countries by Mariola Piłatowska, Andrzej Geise

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