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  1. 601

    Distribution Characteristics and Source Analysis of “Three Nitrogen” in Shallow Groundwater in Hailun Area of Heilongjiang Province by Lijun LI, Qiang LIU

    Published 2023-08-01
    “…At present, this method has been widely used in the analysis and determination of water quality, nitrite nitrogen, ammonia nitrogen, nitrate nitrogen, total nitrogen, and other substances.OBJECTIVESTo identify the source and distribution characteristics of the “three nitrogen” in shallow groundwater in the Hailun area.METHODS(1) Determination of “three nitrogen” and other elements in groundwater samples. …”
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  2. 602

    An Approach for Multi-Source Land Use and Land Cover Data Fusion Considering Spatial Correlations by Jing Yang, Yiheng Jiang, Qirui Song, Zheng Wang, Yang Hu, Kaiqiang Li, Yizhong Sun

    Published 2025-03-01
    “…The Yangtze River Delta was chosen as the case study area for method evaluation and validation. Our results show that the proposed method significantly improves land use classification accuracy. …”
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  3. 603
  4. 604

    DENTAL TREATMENT NEEDS FOR ELIMINATION OF ORAL INFECTION SOURCES IN PATIENTS SCHEDULED FOR HIP AND KNEE ARTHROPLASTY by Dana Nicoleta Mihai, Paul Dan Sirbu, Liliana Savin, Norin Forna, Cristina Gena Dascalu, Norina Consuela Forna

    Published 2025-06-01
    “…Aim of study was to assess the dental treatment needs for elimination of oral infectious sites related to sociodemographics and individual factors in patients scheduled for hip/knee arthroplasty. Materials and method. This cross-sectional study included 51 patients over the age of 50, scheduled for primary hip or knee arthroplasty at the Clinical Rehabilitation Hospital in Iași, Romania, who underwent complete dental evaluation according to predefined inclusion and exclusion criteria. …”
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  5. 605

    Multi-Source Rainfall Data Assimilation based on Broad Learning System over Yunnan Province by Yuanyuan ZHOU, Xiaohui YANG, Tiangui XIAO

    Published 2025-04-01
    “…The accurate estimation of rainfall is always a topic of concern, given its pivotal role in accurately predicting rainfall-related disasters.This study proposed a multi-source rainfall assimilation technology based on a broad learning system (BLS) to improve the accuracy of rainfall estimation.Yunnan Province, located in China's low-latitude plateau, was chosen as the geographical area of interest to establish a multi-source rainfall assimilation model within this region.In particular, the model utilizes five satellite-derived rainfall datasets (3B42V7, IMERG, GSMaP, CMORPH, PERSIANN) and the latitude and longitude information as the source data, and the ground-based rainfall gauge data serves as the reference data.The time span of all the datasets is from April 2014 to December 2017.A leave-one-year-out cross-validation (LOYOCV) method was applied to verify the performance of the established assimilation model, where statistical indicators including Pearson’s correlation coefficient (CC), root-mean square error (RMSE), mean absolute error (MAE), Nash efficiency coefficient (NSE) and Kling-Gupta efficiency (KGE) were used to quantify the accuracy of assimilation rainfall at different spatiotemporal scales.Concurrently, assimilation models based on support vector machine (SVM) and deep neural network (DNN) were established to highlight the accuracy and efficiency of the BLS, respectively.Additionally, the effectiveness of the latitude and longitude information within the proposed assimilation model was examined.The results show that the daily average statistical index of assimilation rainfall based on BLS is better than that of the other five satellite-based products in LOYOCV.At the temporal scale, the proposed assimilation technique effectively reflects the temporal variations observed in gauge-recorded rainfall.Moreover, it can accurately estimate the rainfall amounts during rainstorms in Yunnan Province throughout 2017.It is worth noting that the rainfall data generated through the BLS method outperforms the CMORPH product (the most accurate one among the five satellite-derived rainfall products) in both rainy and dry seasons (May to October and November to April of next year, respectively).At the spatial scale, BLS-based rainfall results in most areas of Yunnan Province showed higher CC and NSE as well as smaller RMSE and MAE than the satellite-based products.The evaluation of the assimilation models based on BLS, SVM, and DNN highlights that the BLS exhibits superior functional mapping capabilities compared to SVM and demands fewer computational resources than DNN.It is reasonable to conclude that the multi-source rainfall assimilation approach utilizing the BLS while incorporating latitude and longitude information can enhance the precision of rainfall estimates in Yunnan Province.The proposed method presents practical significance in multi-source rainfall data assimilation.…”
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  6. 606

    Evaluation of the efficiency of innovative projects by A. S. Obukhova, E. R. Shcherbachenko, L. N. Guselnikova

    Published 2023-01-01
    “…The purpose of the work is to consider methods for evaluating innovative projects that influence decision-making. …”
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  7. 607

    Learning based lower limb joint kinematic estimation using open source IMU data by Benjamin Hur, Sunin Baek, Inseung Kang, Daekyum Kim

    Published 2025-02-01
    “…To meet this demand, we leveraged an open-source dataset to develop and evaluate three training approaches. …”
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  8. 608

    Evaluation of the Severity of Surgical Endotoxicosis by V. I. Karandin, A. G. Rozhkov, M. I. Tsarev, R. M. Nagayev, P. A. Tikhonov

    Published 2009-10-01
    “…Multistep statistical processing yielded seven signs that were most important in evaluating the severity of endotoxicosis, which characterized the baseline state of the macroorganism, the toxic potential of endogenous intoxication sources, and the result of the damaging effect of the toxic principle on the most important life support systems. …”
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  9. 609

    Organophosphate Esters and Polybrominated Diphenyl Ethers in Vehicle Dust: Concentrations, Sources, and Health Risk Assessment by Junji Wang, Jianzai Lin, Xi Zhang, Qinghong Zeng, Zhu Zhu, Siyuan Zhao, Deyan Cao, Meilin Zhu

    Published 2024-11-01
    “…We applied PCA and PMF to identify pollutant sources and assessed health risks using the hazard index (HI) and carcinogenic risk (CR) methods. …”
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  10. 610

    Blood Source and Anesthetics Effects on the Maintenance of <i>Anopheles darlingi</i> in the Lab-Rearing Condition by José Daniel Costa Pontual, Natália Vitória Coelho, Najara Akira Costa dos Santos, Alessandra da Silva Bastos, Jéssica Evangelista Araújo, Alice Oliveira Andrade, Jansen Fernandes Medeiros, Maisa da Silva Araujo

    Published 2025-03-01
    “…A key factor in this process is finding the most efficient blood source for feeding. Here, we evaluated the reproductive potential of <i>An. darlingi</i> using different blood feeding methods and sources. …”
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  11. 611

    An overview of microplastic in marine waters: Sources, abundance, characteristics and negative effects on various marine organisms by Seren Acarer Arat

    Published 2024-01-01
    “…This present review provides an overview of the sources, abundance, and characteristics of MPs in the marine environment, which may guide future marine plastic/MP pollution management strategies and the improvement of MP removal methods from marine waters. …”
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  12. 612

    TOLERANCE: FEATURES AND PROBLEMS OF EVALUATION by M. V. Karmanov, O. A. Mahova

    Published 2018-03-01
    “…In order to implement the principle of objectivity of conclusions, the study was conducted using the following methods: analysis and synthesis, comparison and comparison, generalization, the method of scientific abstraction. …”
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  13. 613
  14. 614

    Stress Tolerance and Organic Acid Productivity of Fungal Strains Isolated from Local Agricultural Sources by Christopher Osazuwa

    Published 2025-04-01
    “…This study was aimed at isolating stress-tolerant fungal strains from local agricultural sources and evaluating their organic acid productivity. …”
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  15. 615

    A Comparative Study of Local and Global Construction Materials Sourcing Strategies for Road Projects in Nigeria by Araoye Olarinkoye Ajiboye, Micaiah Zhitsu Silas, Chinedu Chimdi Adindu, Elijah Aina Alhassan, Stephen Sunday Kolo

    Published 2024-06-01
    “…The study aimed to evaluate the effects of material-sourcing strategies on the performance of road construction companies in Nigeria. …”
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  16. 616

    Auto-embedding transformer under multi-source information fusion for few-shot fault diagnosis by Bo Wang, Shuai Zhao, Qian Zhao, Yang Bai

    Published 2025-07-01
    “…Abstract Data-driven intelligent fault diagnosis methods have become essential for ensuring the reliability and stability of mechanical systems. …”
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  17. 617
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    Benchmarking 21 Open-Source Large Language Models for Phishing Link Detection with Prompt Engineering by Arbi Haza Nasution, Winda Monika, Aytug Onan, Yohei Murakami

    Published 2025-04-01
    “…This paper presents a comprehensive benchmarking study of 21 state-of-the-art open-source LLMs—including Llama3, Gemma, Qwen, Phi, DeepSeek, and Mistral—for phishing URL detection. …”
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    Antimicrobial Peptides from Porcine Blood Cruor Hydrolysates as a Promising Source of Antifungal Activity by Sara García-Vela, Aurore Cournoyer, Zain Sánchez-Reinoso, Laurent Bazinet

    Published 2024-12-01
    “…To this end, a total of sixteen peptides were chemically synthesized and their antimicrobial activities (antibacterial, anti-mold, and anti-yeast) were evaluated using microtitration and agar well diffusion methods against a wide range of microorganisms. …”
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