Effect of Functional Galactooligosaccharide on Metabolism and Antibacterial Activity of Lactiplantibacillus plantarum ZDY2013 by Jinlin LU, Jinmei LI, Jie FENG, Kaisheng SHAO, Hua WEI, Zhihong ZHANG

“…Taken together, the functional GOS could selectively promote the metabolism of L. plantarum ZDY2013 and further inhibit B. cereus HN001 in the co-culture systems and cell model.…”
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High-throughput method for improving rice AGB estimation based on UAV multi-source remote sensing image feature fusion and ensemble learning by Jinpeng Li, Jinpeng Li, Jinxuan Li, Jinxuan Li, Dongxue Zhao, Dongxue Zhao, Qiang Cao, Qiang Cao, Fenghua Yu, Fenghua Yu, Fenghua Yu, Yingli Cao, Yingli Cao, Yingli Cao, Shuai Feng, Shuai Feng, Shuai Feng, Tongyu Xu, Tongyu Xu, Tongyu Xu

“…The relationships between AGB and the selected features were then analyzed using multiple fitting functions. …”
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Analysis of physicochemical, functional, and antioxidant properties of four different Indian seaweed species by Radheshyam B. Bajad, Meenatai G. Kamble, Sumit R. Gawai, Irshaan Syed, Mrinmoy Roy

“…FTIR analysis detected the presence of amide, amino, hydroxyl, ester groups and it can conclude the presence of essential components such as proteins, amino acids, polysaccharides, and fat. Thus, the selected four marine seaweeds act as a good source of functional components and can be utilized for the development of functional food products such as bread, biscuits, cookies, tea, snacks, soups and beverages.…”
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Testing the functionality and contact error of a GPS‐based wildlife tracking network by Melanie J. Davis, Sravan Thokala, Xinyu Xing, N. Thompson Hobbs, Michael W. Miller, Richard Han, Shivakant Mishra

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Quantifying the spatial impact of an invasive Acacia on ecosystem functioning using remote sensing by André Große-Stoltenberg, Christiane Werner, Christine Hellmann, Jens Oldeland, Jan Thiele

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Spatiotemporal differences induced changes in the structure and function of the gut microbiota in an endangered ungulate by Xiaofan Ma, Xiaoyu Hu, Kai Liu, Wei Wang, Wei Jia, Huayao Gao, Ming Lu, Jie Liu, Yunfeng Chen, Yingjie Ma, Yumei Li, Yonggang Nie

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Research on the detection of obstacles in front of unmanned vehicles in opencast mines based on binocular vision by Shunling RUAN, Huiguo ZHANG, Qinghua GU, Caiwu LU, Di LIU, Jing MAO

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Automated Dead Chicken Detection in Poultry Farms Using Knowledge Distillation and Vision Transformers by Ridip Khanal, Wenqin Wu, Joonwhoan Lee

“…Then, a deep learning classifier, enhanced through knowledge distillation, confirms whether the detected stationary object is indeed a chicken. EfficientNet-B0 is employed as the teacher model, while DeiT-Tiny functions as the student model, balancing high accuracy and computational efficiency. …”
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Automatic detection of human gait events: a simple but versatile 3D algorithm by Théo Vancanneyt, Camille Le Moal, Maxence Blard, Juliette Lenoir, Nicolas Roche, Céline Bonnyaud, Fabien Dubois

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Leveraging large language models for automated detection of velopharyngeal dysfunction in patients with cleft palate by Myranda Uselton Shirk, Catherine Dang, Jaewoo Cho, Hanlin Chen, Lily Hofstetter, Jack Bijur, Claiborne Lucas, Andrew James, Ricardo-Torres Guzman, Andrea Hiller, Noah Alter, Amy Stone, Maria Powell, Matthew E. Pontell, Matthew E. Pontell

“…BackgroundHypernasality, a hallmark of velopharyngeal insufficiency (VPI), is a speech disorder with significant psychosocial and functional implications. Conventional diagnostic methods rely heavily on specialized expertise and equipment, posing challenges in resource-limited settings. …”
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Employing SAE-GRU deep learning for scalable botnet detection in smart city infrastructure by Usman Tariq, Tariq Ahamed Ahanger

“…These findings enhance the understanding of IoT security by offering a scalable and resource-efficient solution for botnet detection. The functional investigation establishes a foundation for future research into adaptive security mechanisms that address emerging threats and highlights the practical potential of advanced deep learning techniques in safeguarding next-generation smart city ecosystems.…”
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GESC-YOLO: Improved Lightweight Printed Circuit Board Defect Detection Based Algorithm by Xiangqiang Kong, Guangmin Liu, Yanchen Gao

“…Printed circuit boards (PCBs) are an indispensable part of electronic products, and their quality is crucial to the operational integrity and functional reliability of these products. Currently, existing PCB defect detection models are beset with issues such as excessive model size and parameter complexity, rendering them ill-equipped to meet the requirements for lightweight deployment on mobile devices. …”
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RSWD-YOLO: A Walnut Detection Method Based on UAV Remote Sensing Images by Yansong Wang, Xuanxi Yang, Haoyu Wang, Huihua Wang, Zaiqing Chen, Lijun Yun

“…Furthermore, to optimize the detection performance under hardware resource constraints, we apply knowledge distillation to RSWD-YOLO, thereby further improving the detection accuracy. …”
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Classification of SERS spectra for agrochemical detection using a neural network with engineered features by Mateo Frausto-Avila, Monserrat Ochoa-Elias, Jose Pablo Manriquez-Amavizca, María del Carmen González-López, Gonzalo Ramírez-García, Mario Alan Quiroz-Juárez

“…Surface-Enhanced Raman Spectroscopy (SERS) substrates offer a promising solution for the sensitive and specific detection of agrochemicals, enabling timely interventions to mitigate their harmful effects on humans and ecosystems. …”
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Sex‐Specific Ultraviolet Radiation Tolerance Across Drosophila by James E. Titus‐McQuillan, Brandon A. Turner, Rebekah L. Rogers

“…Adaptation and genetic innovation arise in the genome from a variety of sources. Functional genomics requires both genetic discoveries and empirical testing to observe adaptation between lineages. …”
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Development and validation of microwave-assisted extraction for phenolic compound profiling in diverse oyster mushrooms (Pleurotus spp.) sourced from various geographical regions by M Umar Harun, Miguel Palma, Widiastuti Setyaningsih

“…This study aimed to develop and validate a microwave-assisted extraction (MAE) method for profiling phenolic compounds in a diverse selection of oyster mushrooms (Pleurotus spp.) sourced from multiple geographical regions. …”
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GSF-YOLOv8: A Novel Approach for Fire Detection Using Gather-Distribute Mechanism and SimAM Attention by Caixiong Li, Dali Wu, Xing Zhang, Peng Wu

“…To address the current challenges in fire detection algorithms, including insufficient feature extraction, high computational complexity, limited deployment on resource-constrained devices, missed detections, false detections, and low accuracy, we developed a high-precision algorithm named GSF-YOLOv8. …”
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YOLO-SRMX: A Lightweight Model for Real-Time Object Detection on Unmanned Aerial Vehicles by Shimin Weng, Han Wang, Jiashu Wang, Changming Xu, Ende Zhang

“…Unmanned Aerial Vehicles (UAVs) face a significant challenge in balancing high accuracy and high efficiency when performing real-time object detection tasks, especially amidst intricate backgrounds, diverse target scales, and stringent onboard computational resource constraints. …”
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Host selection is not a universal driver of phyllosphere community assembly among ecologically similar native New Zealand plant species by Anya S. Noble, Jaber Abbaszadeh, Charles K. Lee

“…Abstract Background A growing body of evidence demonstrates that host-associated microbial communities of plant leaf surfaces (i.e. the phyllosphere) can influence host functional traits. However, it remains unclear whether host selection is a universal driver of phyllosphere community assembly. …”
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Solvent-free valorization of sugarcane bagasse fibers into nitrogen-doped microporous carbons: Efficient contenders for selective carbon dioxide capture by Urooj Kamran, Nasir Shezad, Soo-Jin Park, Kyong Yop Rhee, Shujie You, Farid Akhtar

“…Melamine and KOH were used as a nitrogen-doping source and an activator, respectively. The specimen (SBF-BC-KM0.5), prepared with optimized melamine loading, possessed efficient textural features, including a specific surface area (SSA) of 1138 m² g⁻¹ , a micropore volume of 0.396 cm³ g⁻¹ , high concentration of ultra-micropores (<0.6 nm) (89 %) and high content of pyrrolic-N functionality (35 %). …”
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