Identification and Mining of Functional Components of Polyphenols in Fruits of <i>Malus</i> Germplasm Resources Based on Multivariate Analysis by Dajiang Wang, Guangyi Wang, Xiang Lu, Zhao Liu, Simiao Sun, Hanxin Guo, Wen Tian, Zichen Li, Lin Wang, Lianwen Li, Yuan Gao, Kun Wang

“…These results provide us with information regarding the polyphenol composition and content of the wild apple resources and local cultivars. The high polyphenol content resources obtained by screening can be used as raw materials for the extraction of polyphenol components and functional fruit juice processing and can also be used as parents for functional fruit creation and variety breeding.…”
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Pragmatic questionnaire-based evaluation of auditory function in individuals with major neurocognitive disorders and hearing loss in diverse contexts by Panagiotis Alexopoulos, Panagiotis Alexopoulos, Panagiotis Alexopoulos, Panagiotis Alexopoulos, Antonios Alexandros Demertzis, Panagiotis Biris, Polychronis Economou, Eric Frison, Piers Dawes, Iracema Leroi

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Metal surface defect detection using SLF-YOLO enhanced YOLOv8 model by Yuan Liu, Yilong Liu, Xiaoyan Guo, Xi Ling, Qingyi Geng

“…Abstract This paper addresses the industrial demand for precision and efficiency in metal surface defect detection by proposing SLF-YOLO, a lightweight object detection model designed for resource-constrained environments. …”
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The study on the function and cell source of interleukin‐6 in interstitial cystitis/bladder painful syndrome rat model by Zhenming Zheng, Jiapeng Zhang, Caixia Zhang, Wenshuang Li, Kaiqun Ma, Hao Huang, Kuiqing Li, Yousheng Yao

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Fine-grained building function recognition with street-view images and GIS map data via geometry-aware semi-supervised learning by Weijia Li, Jinhua Yu, Dairong Chen, Yi Lin, Runmin Dong, Xiang Zhang, Conghui He, Haohuan Fu

“…In this work, we propose a geometry-aware semi-supervised method for fine-grained building function recognition, which effectively uses multi-source geoinformation data to achieve accurate function recognition in both single-city and cross-city scenarios. …”
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Toward Compliance and Transparency in Raw Material Sourcing With Blockchain and Edge AI by Abderrahim Khiari, Anas Osman, Massimo Vecchio, Mattia Antonini, Miguel Pincheira

“…Our fully functional prototype achieves high performance (94% F1-score, 98% recall), with minimal resource usage (8.45KB RAM, 407KB flash) and fast inference (5.25 ms), making it well-suited for deployment at the network edge. …”
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Mapping Pressure Surge Source in Urban Water Networks: Integrating Low‐ and High‐Frequency Pressure Data With an Illustrative Real Case Study by S. Meniconi, A. Rubin, L. Tirello, A. Doro, B. Brunone, C. Capponi

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Background of standardization and regulation of training and use of pharmaceutical regular resource potential in XI–XVI centuries by M. S. Ponomarenko, O. S. Soloviov, T. M. Krasnianska, Yu. M. Grygoruk

“…The main stages of development of the property (material) and human resources to provide medical treatment and patients have been detected. …”

Introduction of AI Technology for Objective Physical Function Assessment by Nobuji Kouno, Satoshi Takahashi, Masaaki Komatsu, Yusuke Sakaguchi, Naoaki Ishiguro, Katsuji Takeda, Kyoko Fujioka, Ayumu Matsuoka, Maiko Fujimori, Ryuji Hamamoto

“…These technologies are recommended for future clinical systems that perform repeated objective physical function assessments in all patients without requiring extra time, personnel, or resources. …”
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Advances in preparation and application of coal-based functional nanomaterials by Shenyong LI, Shenjun QIN, Changquan MEN, Jiajia HOU, Dawei LYU, Xue ZHENG, Wei PANG, Longlong HAO, Daoyuan ZHAO, Shaozhuo ZHANG

“…China’s energy resource endowment, characterized by “abundant coal but scarce oil”, establishes coal’s fundamental role in the national energy system. …”
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A Lightweight Transformer Model for Defect Detection in Electroluminescence Images of Photovoltaic Cells by Yang Yang, Jing Zhang, Xin Shu, Lei Pan, Ming Zhang

“…To ensure solar panels function well, efficient and accurate defect detection of PV modules is essential. …”
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Sustainable Valorization of Jackfruit Peel Waste: Bio‐Functional and Structural Characterization by Rangina Brahma, Subhajit Ray, Prakash Kumar Nayak, Kandi Shridhar

“…ABSTRACT The sustainable utilization of agricultural waste holds immense promise in addressing environmental concerns and promoting resource efficiency. In this context, jackfruit (Artocarpus heterophyllus) peel waste emerges as a valuable yet underexplored resource. …”
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Detecting and routing of dust event using remote sensing and numerical modeling in Isfahan Province by Mehdii Jafari, Gholamreza Zehtabian, Hasan Ahmadi, Tayebeh Mesbahzadeh, Ali Akbar Norouzi

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Detection of Greenhouse and Typical Rural Buildings with Efficient Weighted YOLOv8 in Hebei Province, China by Bingkun Wang, Zhiyuan Liu, Jiangbo Xi, Siyan Gao, Ming Cong, Haixing Shang

“…The large-scale detection of greenhouses and rural buildings is important for natural resource surveys and farmland protection. …”
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AC-YOLO: A lightweight ship detection model for SAR images based on YOLO11. by Rui He, Dezhi Han, Xiang Shen, Bing Han, Zhongdai Wu, Xiaohu Huang

“…Synthetic Aperture Radar (SAR), renowned for its all-weather monitoring capability and high-resolution imaging characteristics, plays a pivotal role in ocean resource exploration, environmental surveillance, and maritime security. …”
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A Methodological and Structural Review of Parkinson&#x2019;s Disease Detection Across Diverse Data Modalities by Abu Saleh Musa Miah, Taro Suzuki, Jungpil Shin

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Sea dragon metabolome and lipidome unveil bioactive functional food candidates with sepsis therapeutic activities by Huixiang Wu, Miaoyu Li, Lijun Ge, Weibo Lu, Xuewei Shen, Yu Zhang, Zengyan Wu, Jianding Wang, Yonghui Wu, Huijuan Mao, Jianliang Zhang, Qingcheng Wang, Jing Xue, Qing Shen, Yuexing Tu

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Integrated Machine Learning and Region Growing Algorithms for Enhanced Concrete Crack Detection: A Novel Approach by Wenxuan Yao, Hui Li, Yanlin Li

“…Firstly, the regression method learns the image features of the dataset and the specific region growth threshold, and the regression function is trained by using the open-source dataset to determine the region growth threshold using the characteristics of the images included in the tests. …”
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Early detection to improve outcome in people with undiagnosed psoriatic arthritis: the PROMPT research programme including RCT by Neil McHugh, Laura Bojke, Mel Brooke Turfrey, Rachel Charlton, Myka Ransom, Laura C Coates, Howard Collier, Claire Davies, Emma Dures, Philip Helliwell, Jana James, Anya Lissina, Vishnu B Madhok, Alison L Nightingale, Jonathan Packham, Catherine Smith, Eldon Spackman, Cerys Tassinari, William Tillett, Sarah T Brown

“…Surveillance for undiagnosed psoriatic arthritis generally detects mild cases as measured by physical function. …”
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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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