Quality assessment of garden strawberries of foreign selection by I. M. Novikova, O. M. Blinnikova, A. S. Ilyinsky

“…The importance of using local plant, fruit and other raw materials, which are a source of many deficient vitamins, minerals, insoluble and soluble dietary fiber, as well as other valuable nutrients should be noted. …”
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Evaluation of Intrusion Detection Systems in Cyber Security using Fuzzy OffLogic and MCDM Approach by Zhengrui Yang

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Rice Disease Detection: TLI-YOLO Innovative Approach for Enhanced Detection and Mobile Compatibility by Zhuqi Li, Wangyu Wu, Bingcai Wei, Hao Li, Jingbo Zhan, Songtao Deng, Jian Wang

“…This study aims to develop a rice disease detection model that is highly accurate, resource efficient, and suitable for mobile deployment to address the limitations of existing technologies. …”
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A multi-parameters assessment method and prediction model for ground vibration under the high-speed railway bridge by Wenya Yuan, Baoxin Jia, Zhiyang Zhou, Jing Zhang, Puzhen An

“…Besides, an application example of environment vibration prediction was given, and the site selection distance threshold away from the high-speed railways of different types of environmental vibration function areas were determined. …”
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Antioxidant and Antiradical Properties of Selected Flavonoids and Phenolic Compounds by Zübeyir Huyut, Şükrü Beydemir, İlhami Gülçin

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Biomimetic Microfluidic Pumps for Selective Oil–Water Separation by Zhaolong Wang, Yinfeng Li, Mingzhu Xie, Ziheng Zhan, Wenhao Li, Qihui Xie, Yong Shuai, Zhichao Dong, Zuankai Wang

“…The findings underscore the potential of 3D bionic functional spring microchannels for selectively separating a wide range of oil‐water mixtures with exceptional efficiency.…”
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Remote Sensing Extraction of Damaged Buildings in the Shigatse Earthquake, 2025: A Hybrid YOLO-E and SAM2 Approach by Zhimin Wu, Chenyao Qu, Wei Wang, Zelang Miao, Huihui Feng

“…The dataset used for training contained labeled examples of damaged buildings, and the model optimization was carried out using stochastic gradient descent (SGD), with cross-entropy and mean squared error as the selected loss functions. Upon evaluation, the model reached a precision of 0.840, a recall of 0.855, an F1-score of 0.847, and an IoU of 0.735. …”
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Development of an Algorithm for Semantic Segmentation of Earth Remote Sensing Data to Determine Phytoplankton Populations by Yu. V. Belova, I. F. Razveeva, E. O. Rakhimbaeva

“…The use of the proposed computer vision model to obtain contours of water bloom due to phytoplankton will provide for the creation of databases — the basis for environmental monitoring of water resources and predictive modeling of hydrobiological processes.…”
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Multi-tool copy number detection highlights common body size-associated variants in miniature pig breeds from different geographical regions by Jan Berghöfer, Nadia Khaveh, Stefan Mundlos, Julia Metzger

“…In total, 34 homozygous CNVs overlapped with exonic regions in all samples, suggesting a role in expressing specific phenotypes such as uniform growth patterns, fertility, or metabolic function. In addition, 386 copy number variation regions (CNVRs) shared by all breeds were detected, covering 33.6 Mb (1.48% of the autosomal genome). …”
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Selective transfer learning with adversarial training for stock movement prediction by Yang Li, Hong-Ning Dai, Zibin Zheng

“…The data selector task is introduced to select the most relevant and high-quality training samples from stocks in source domain. …”
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SPECIFICS OF PROJECT MANAGEMENT IN SELECTED ORGANIZATIONS PROVIDING SOCIAL SERVICES by Denisa Dufková, Radka Prokešová, Jitka Vacková, Lesia Shuranova

“…Project management is a key element that contributes to social service organizations' effective functioning and development. According to the literature, social projects can be funded from various sources, including government grants, private donations, and organizations' revenues. …”
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Comparing the costs and detectability of bobcat using scat‐detecting dog and remote camera surveys in central Wisconsin by John D. J. Clare, Eric M. Anderson, David M. MACfarland, Brian L. Sloss

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Evaluation of the diet of a selected group of children with coeliac disease by Joanna Rachtan-Janicka

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Phenolics and Flavonoid Content in Selected Seeds from the Serbian Market by Margarita Dodevska, Nevena Ivanovic, Jelena Kukic-Markovic, Verica Jovanovic

“…Conclusion: Our results confirmed the fact that certain defatted seeds, which are usually considered as waste products in oil production, could be considered as valuable sources of certain secondary plant metabolites, implicating further investigations on their composition and potential in the development of functional foods.…”
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Donor – recipient selection using epitope mismatches in kidney transplantation by A. V. Vatazin, A. B. Vatazin, V. A. Stepanov

“…If a recipient with a functioning graft died, the observation was censored. …”
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Nitrite: From Application to Detection and Development by Haoneng Li, Yang Song, Baoqing Zhou, Hengyi Xu

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Protocol-Based Deep Intrusion Detection for DoS and DDoS Attacks Using UNSW-NB15 and Bot-IoT Data-Sets by Muhammad Zeeshan, Qaiser Riaz, Muhammad Ahmad Bilal, Muhammad K. Shahzad, Hajira Jabeen, Syed Ali Haider, Azizur Rahim

“…As this technology advances further, the need to exploit detection and weakness awareness increases to prevent unauthorized access to critical resources and business functions, thereby rendering the system unavailable. …”
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Selection and evaluation of reference genes for qRT-PCR in Inonotus obliquus by Lulu Li, Xiaofan Guo, Shouming Wang

“…Inonotus obliquus is a rare and edible medicinal fungus. Selecting an appropriate reference gene is crucial for researching its gene function. …”
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Exploring the Rich Tapestry of Cultural Identity in Selected Siswati Short Stories by Khulisile Judith Nkuna, Innocent Zitha

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Consensus Guided Multi-View Unsupervised Feature Selection with Hybrid Regularization by Yifan Shi, Haixin Zeng, Xinrong Gong, Lei Cai, Wenjie Xiang, Qi Lin, Huijie Zheng, Jianqing Zhu

“…In real-world scenarios, raw multi-source data are generally unlabeled and inherently contain multi-view noise and feature redundancy, leading to extensive research on unsupervised multi-view feature selection. …”
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