Research and application of image recognition-based identification for flesh browning of loquat fruits by CHEN Yujia, DENG Chaojun, ZHANG Tingting, WANG Xiuping, CHEN Xiuping, ZHAO Jianing, MA Cuilan, JIANG Jimou

“…According to the membership function ranking by principal component analysis, the browning resistance of the 10 loquat resources from strong to weak was: Yanhong, Ruisui, Huangjinkuai, Zhongshudaxiang, Muluo Loquat, Zhongbai, Guifei, Sanyuebai, Baixuezao, Guofenben. …”
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Modern Concepts of Clinical and Diagnostic Criteria for Premature Ovarian Failure (Literature Review) by M. D. Salimova, Ya. G. Nadelyaeva, I. N. Danusevich

“…An information search was carried out using Internet resources (PubMed, Web of Science, eLibrary.Ru), literary sources for the period 2015–2019 were analyzed. …”
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Exploring the Complexities of Seafood: From Benefits to Contaminants by Bettina Taylor, Kelvin Fynn Ofori, Ali Parsaeimehr, Gulsun Akdemir Evrendilek, Tahera Attarwala, Gulnihal Ozbay

“…Seafood plays a vital role in human diets worldwide, serving as an important source of high-quality protein, omega-3 fatty acids, and essential vitamins and minerals that promote health and prevent various chronic conditions. …”
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SentemQC - A novel and cost-efficient method for quality assurance and quality control of high-resolution frequency sensor data in fresh waters [version 2; peer review: 1 approved,... by Sofie Gyritia Madsen van't Veen, Joachim Audet, Eti Ester Levi, Brian Kronvang, Søren Erik Larsen, Erik Jeppesen, Esben Astrup Kristensen, Anders Nielsen, Thomas Alexander Davidson, Jane Rosenstand Laugesen, Peter Mejlhede Andersen

“…Such a process is often resource-intensive and may not be consistent across users and sensors. …”
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The On-Chip D-LMS Filter Design Method of Wireless Sensor Node Based on FPGA by Jian Li, Maojin Li, Ming Meng, Zepeng Liu

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SentemQC - A novel and cost-efficient method for quality assurance and quality control of high-resolution frequency sensor data in fresh waters [version 1; peer review: 1 approved,... by Sofie Gyritia Madsen van't Veen, Joachim Audet, Eti Ester Levi, Brian Kronvang, Søren Erik Larsen, Erik Jeppesen, Esben Astrup Kristensen, Anders Nielsen, Thomas Alexander Davidson, Jane Rosenstand Laugesen, Peter Mejlhede Andersen

“…Such a process is often resource-intensive and may not be consistent across users and sensors. …”
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Learning Transferable Convolutional Proxy by SMI-Based Matching Technique by Wei Jin, Nan Jia

“…The classification responses are also smoothened by manifolds of both the source domain and proxy space. By minimizing an objective function of SMI, classification error, and manifold regularization, we learn the convolutional networks of both source and target domains. …”
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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

“…Software defect detection is a critical research topic in the field of software engineering, aiming to identify potential defects during the development process to improve software quality and reduce maintenance costs. …”
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Development and characterization of a new TILLING population of common bread wheat (Triticum aestivum L.). by Liang Chen, Linzhou Huang, Donghong Min, Andy Phillips, Shiqiang Wang, Pippa J Madgwick, Martin A J Parry, Yin-Gang Hu

“…The results indicate that this mutant population represents a useful resource for the wheat research community. We hope that the use of this reverse genetics resource will provide novel allelic diversity for wheat improvement and functional genomics.…”
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Synergizing Multi-Temporal Remote Sensing and Systemic Resilience for Rainstorm–Flood Risk Zoning in the Northern Qinling Foothills: A Geospatial Modeling Approach by Dong Liu, Jiaqi Zhang, Xin Wang, Jianbing Peng, Rui Wang, Xiaoyan Huang, Denghui Li, Long Shao, Zixuan Hao

“…This framework quantitatively evaluates the nonlinear response mechanisms of town–village systems to flood disasters, emphasizing the synergistic effects of spatial scale, morphology, and functional organization. The proposed framework uniquely integrates three innovative modules: (1) a hybrid risk identification engine combining normalized difference vegetation index (NDVI) temporal anomaly detection and spatiotemporal hotspot analysis; (2) a morpho-functional resilience quantification model featuring a newly developed spatial morphological resilience index (SMRI) that synergizes landscape compactness, land-use diversity, and ecological connectivity through the entropy-weighted analytic hierarchy process (AHP); and (3) a dynamic scenario simulator embedding rainfall projections into a coupled hydrodynamic model. …”
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An Improved Fitting Method for Predicting the Zernike Coefficient–Wavelength Curves by Fang Wang, Qiyuan Zhang, Haoyu Wang, Dayong Zhu, Huaikang Zhu, Wenxin Jia, Sen Han

“…Broadband transmitted wavefront measurement is a detection method that uses transmitted wavefronts at a few specific wavelengths though a function of Zernike coefficients and wavelength to predict other transmitted wavefronts at any wavelength within a certain range. …”
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A Novel Method for Traceability of Crude Oil Leakage on Offshore Platforms Based on Improved YOLOv5 Model Multi-Target Identification and Correlation Analysis by Zhenghua Wang, Shihai Zhang, Chongnian Qu, Zongyi Zhang, Feng Sun

“…Based on the positional relationship between the spilled crude oil target and the source target detection anchor frame, the possible source targets are classified into three association levels and assigned different association weights. …”
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Identification of Keystone Plant Species for Avian Foraging and Nesting in Beijing’s Forest Ecosystems: Implications for Urban Forest Bird Conservation by Lele Lin, Yongjian Zhao, Chao Yuan, Yushu Zhang, Siyu Qiu, Jixin Cao

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Microalgal Metabolomes and Recent Biotechnological Advances for Their Industrial Application by Dinesh Kumar Saini, Geetanjali Manchanda, Ratiram Gomaji Chaudhary, Raghvendra Pratap Singh

“…In recent decades, microalgae have emerged as new sustainable resources for the production of various bioactive and biochemical compounds. …”
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Investigating the AGN-neutrino connection with public IceCube data by Kuhlmann Julian, Capel Francesca

“…We present the first application of a newly developed hierarchical Bayesian analysis framework for the detection of point-like sources of high-energy neutrinos. …”
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Bearing Small Sample Fault Diagnosis based on Data Generation and Transfer Learning by Dinghui Wu, Qin Fang, Chuyi Wu

“…First， the source dataset is trained on the training network to obtain the source model， and then a small amount of drive-end data is used as the target dataset to fine-tuning to obtain the target model. …”
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Protocol Biopsies in Kidney Transplant Recipients: Current Practice After Much Discussion by Christina Lazarou, Eleni Moysidou, Michalis Christodoulou, Stamatia Stai, Georgios Lioulios, Efstratios Kasimatis, Asimina Fylaktou, Maria Stangou

“…Expert opinion and consensus acknowledge the benefits of protocol biopsies for early detection and tailored management but also highlight ongoing debates regarding their routine use in low-risk patients due to risks, costs, and resource considerations. …”
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Advanced signal processing algorithm for fault classification and localization in VSC-HVDC based Offshore wind farm by Rehana Perveen

“…This work provides real-time validation on the RTDS platform by the use of S-transform, Ensemble Empirical Mode Decomposition (EEMD), and SVM, for quick and reliable detection of AC/DC faults. Next for classification, features extracted through intrinsic mode function decomposed by EMD and EEMD and classified distinctly using support vector machine techniques. …”
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Ultra-high-energy γ-ray emission associated with the tail of a bow-shock pulsar wind nebula

“…The source energy spectrum extended up to 300 TeV, which was well fitted by a log-parabola function with N0 = (1.93 ± 0.23) × 10−16 TeV−1 cm−2 s−1, α = 2.14 ± 0.27, and β = 1.20 ± 0.41 at E0 = 30 TeV. …”
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Research on Behavior Recognition and Online Monitoring System for Liaoning Cashmere Goats Based on Deep Learning by Geng Chen, Zhiyu Yuan, Xinhui Luo, Jinxin Liang, Chunxin Wang

“…We improved YOLOv8n through dataset expansion, algorithm lightweighting, attention mechanism integration, and loss function optimization. Our improved model achieved the highest detection accuracy of 98.11% compared to other state-of-the-art (SOTA) target detection algorithms. …”
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