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  1. 2001

    Health Assessment of the Lower Reaches of Longhe River under Watershed Systematic Treatment by YU Binjing, FU Yicheng

    Published 2022-01-01
    “…River health assessment is the basis for watershed planning,systematic treatment,and ecological restoration.The lower reaches of the Longhe River in Langfang suffer fragile ecology and lack water fluidity,showing a poor water environment.To accurately assess the ecological health of rivers severely disturbed by human activities and identify the fragility factors in the ecosystem,we construct a health assessment index system for the Longhe River based on the analytic hierarchy process (AHP).The river health assessment index system consists of five aspects:hydrological integrity,physical structural integrity,chemical integrity,biological integrity,and social function integrity.The Langfang section of Longhe River is generally in a healthy state with a health assessment score of 75.18.According to the assessment results,the Longhe River watershed has problems such as large development and utilization of water resources,low wetland retention rate,serious artificial disturbance in the riparian zone,and poor quality of the upstream water.The proposed assessment method could provide a reference for the health assessment of rivers under severe artificial control.…”
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  2. 2002

    A user-friendly NoSQL framework for managing agricultural field trial data by Steven H. Wu, Tristan A. Mueller

    Published 2024-11-01
    “…This framework includes functions for non-technical users, including importing and exporting data, data integration and manipulation, and performing statistical analysis. …”
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  3. 2003

    Cost-Effective Photoacoustic Imaging Using High-Power Light-Emitting Diodes Driven by an Avalanche Oscillator by Alberto Prud’homme, Frederic Nabki

    Published 2025-03-01
    “…While lasers have traditionally been the light source for PAI, their high cost and complexity drive interest towards alternative sources like light-emitting diodes (LEDs). …”
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  4. 2004

    Hybrid Deep Neural Network Optimization with Particle Swarm and Grey Wolf Algorithms for Sunburst Attack Detection by Mohammad Almseidin, Amjad Gawanmeh, Maen Alzubi, Jamil Al-Sawwa, Ashraf S. Mashaleh, Mouhammd Alkasassbeh

    Published 2025-03-01
    “…The strength of DNNs is derived from their ability to model complex functions and to improve detection engines through deeper architecture. …”
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    Article
  5. 2005

    Microwave-assisted Deep Eutectic Solvent Extraction of Xinjiang Wild Prunus cerasifera Ehrh. Polysaccharides and Analysis of Its Antioxidant and Antibacterial Activities by Linghe ZHANG, Hao XIE, Maimaiti NUER

    Published 2025-05-01
    “…These findings indicate the promising in vitro antioxidant and antibacterial properties of cherry plum polysaccharides and provide a theoretical foundation for their development and utilization as functional products.…”
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  6. 2006
  7. 2007

    Comparative analyses of parasites with a comprehensive database of genome-scale metabolic models. by Maureen A Carey, Gregory L Medlock, Michał Stolarczyk, William A Petri, Jennifer L Guler, Jason A Papin

    Published 2022-02-01
    “…Characterization of functional differences among parasite species is confined to post hoc or single target studies, limiting the utility of this extrapolation approach. …”
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  8. 2008

    HD-6mAPred: a hybrid deep learning approach for accurate prediction of N6-methyladenine sites in plant species by Huimin Li, Wei Gao, Yi Tang, Xiaotian Guo

    Published 2025-05-01
    “…Furthermore, HD-6mAPred not only improves the accuracy of 6mA site prediction, but also shows excellent generalization capability across species. The source code utilized in this study is publicly accessible at https://doi.org/10.5281/zenodo.15355131.…”
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  9. 2009

    Differential effects of young and old hematopoietic stem cell niches on bone marrow-derived dendritic cells by Patrik Milić, Mojca Justin Kjuder, Katerina Jazbec Gradišar, Urban Švajger, Primož Rožman

    Published 2025-07-01
    “…As individuals age, the HSC niche undergoes significant changes, including greater adipocyte accumulation and alterations in the molecular microenvironment, which may influence the development and function of immune cells. Among these cells, the impact of the aging HSC niche on dendritic cell (DC) function is less understood. …”
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  10. 2010
  11. 2011
  12. 2012
  13. 2013

    Generation of mouse and rat xenogeneic ovaries in vitro for production of mouse oocyte by Si Won Jang, Ye Rim Kim, Jae Ho Han, Hoon Jang, Hyun Woo Choi

    Published 2024-12-01
    “…The system forming ovarian follicles is developed to investigate in vitro folliculogenesis in a confined environment to obtain functional oocytes. Several studies have reported the successful generation of fully functional oocytes using mouse-induced pluripotent stem cells (iPSCs) and mouse female germline stem cells (fGSCs) as sources of stem cells for in vitro gametogenesis models. …”
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  14. 2014
  15. 2015
  16. 2016
  17. 2017

    Chromosome-level genome assembly of the small yellow croaker, Larimichthys polyactis (Perciformes: Sciaenidae) by Feng Liu, Wei Zhan, Dandan Guo, Ting Ye, Bao Lou

    Published 2025-04-01
    “…These findings provide valuable resources for the conservation, functional genomics, molecular breeding and evolutionary studies of L. polyactis.…”
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  18. 2018
  19. 2019

    Cell differentiation controls iron assimilation in the choanoflagellate Salpingoeca rosetta by Fredrick Leon, Jesus M. Espinoza-Esparza, Vicki Deng, Maxwell C. Coyle, Sarah Espinoza, David S. Booth

    Published 2025-03-01
    “…Similar to their animal relatives, we found that the model choanoflagellate, S. rosetta, divides metabolic functions between distinct cell types. One cell type uses an iron reductase to acquire ferric colloids, a key source of iron in the ocean. …”
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  20. 2020

    Refined prognostication of pathological complete response in breast cancer using radiomic features and optimized InceptionV3 with DCE-MRI by Satyabrata Pattanayak, Tripty Singh, Rishabh Kumar

    Published 2025-07-01
    “…To optimize the model’s performance, we experimented with different combinations of loss functions, optimizer functions, and activation functions. …”
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