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  1. 741

    Estimation of Nitrous Oxide Emissions from Agricultural Sources and Characterization of Spatial and Temporal Changes in Anhui Province (China) by Zhou Ye, Yujuan Sun, Xianglin Zhang, Youzhi Yao

    Published 2024-12-01
    “…To evaluate the estimation and spatiotemporal variation characteristics of nitrous oxide emissions from agricultural sources in Anhui Province, the nitrous oxide emissions generated during crop cultivation and manure management were assessed based on the recommended methods in the “Guidelines for Provincial Greenhouse Gas Inventories” and official statistical data. …”
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  2. 742
  3. 743

    Determination of the dominant sound source in an Air production plant of a petrochemical industry and assessing the effectiveness of its enclosing by MR Monazzam, S Farhang Dehghan, P Nassiri, M Jahangiri

    Published 2015-09-01
    “…Since the best noise control measures is to reduce or limit the at the source, the purpose of this study was to assess the noise pollution and determine the dominant sound source in an Air production plant of a Petrochemical industry, and also it aims to evaluate the effect of enclosing the dominant sound source on its overall noise level. …”
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  4. 744

    Silicon Protection of Sugar Beet (Beta vulgaris) Against Field Dodder (Cuscuta campestris): Preliminary Analysis by Akbar Aliverdi, Hamed Mansouri

    Published 2025-04-01
    “…The experiment was conducted as a completely randomized design with three factors, including parasitic infection (non‐parasitized and dodder‐parasitized sugar beet), Si source (5 mM Si in the form of Na2SiO3 or K2SiO3), and Si application method (control, seed pretreatment, irrigation, and foliar spraying). …”
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  5. 745

    The Training Method for Digital Data Operation by I. V. Shevtsova

    Published 2020-09-01
    “…A review of scientific sources has shown that programming skills are required to apply existing data mining methods. …”
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  6. 746

    Risk Sources Encountered by Farmers in the Open Field Production of Strawberry and Risk Management Strategies: A Case of Izmir by Gamze Saner, Hasan Burak Ağır, Hakan Adanacıoğlu

    Published 2014-12-01
    “…Factor analysis was used in data reduction to identify a small number of factors related to risk sources and risk strategies in this study. Then, multiple regression model was used to evaluate the influence of socio-economic characteristics on the strawberry farmers’ risk perceptions and risk management strategies using factor loadings. …”
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  7. 747

    YouTube as a source of information about pulpotomy and pulp capping: a cross sectional reliability analysis by Konstantinos Kodonas, Anastasia Fardi

    Published 2021-08-01
    “…ObjectivesThe purpose of this study was to critically evaluate the quality, reliability and educational content of the information of vital pulp treatment videos available on YouTube.Materials and MethodsThe keywords “pulpotomy” and “pulp capping” were searched on YouTube on 5th July 2020, until 60 English language videos of each search term with a duration shorter than 15 minutes were acquired. …”
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  8. 748

    Spatial and Temporal Distribution Characteristics of Water Quality in Beiluo River and Pollution Sources Based on Principal Component Analysis by Zhang Xiang, Li Su

    Published 2022-08-01
    “…[Methods] The main pollution indicators of the Beiluo River were screened and evaluated using principal component analysis and a comprehensive water quality identification index method according to the law of intra-annual distribution of water volume in the Beiluo River. …”
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  9. 749

    On some numerical methods for solving the 1-D Saint-Venant equations of general flow regime. Part 1: Numerical methods by Nguyen Van Hanh, Nguyen Van Diep, Ngo Huy Can

    Published 2002-12-01
    “…The purpose of this paper is to introduce and to evaluate four numerical methods for solving the 1-D homogenous Saint-Venant equations in combination with three approaches of processing source terms. …”
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  10. 750

    Leveraging Open-Source Tools to Analyse Ground-Based Forest LiDAR Data in South Australian Forests by Spencer O’Keeffe, Bruce H. Thomas, Jim O’Hehir, Jan Rombouts, Michelle Balasso, Andrew Cunningham

    Published 2025-06-01
    “…This paper investigates the application of open-source software and methods for forest LiDAR analysis, with a focus on enhancing forest inventory metrics in the radiata pine forests of South Australia’s Green Triangle region. …”
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  11. 751
  12. 752

    Technological potential of Eucalyptus dunnii wood from different fertilization and genetic sources for the production of edge glued panels by Annah Carolina Bajaluk Bilik, Rosilani Trianoski, Setsuo Iwakiri, Alessandro Camargo Angelo

    Published 2025-06-01
    “…Among them, edge glued panel are produced by joining battens laterally or on their surface using adhesive bonds. This work aimed to evaluate the technological potential of Eucalyptus dunnii (white gum) wood from different fertilization treatments and genetic sources for the production of edge glued panels. …”
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  13. 753

    Comparison of ocular biometry and refractive outcomes using two swept-source optical coherence tomography-based biometers. by Hansol Park, Young-Sik Yoo, Eunhae Shin, Won Seok Song, Yeokyoung Won, Tae-Young Chung, Dong Hui Lim

    Published 2024-01-01
    “…<h4>Background</h4>To evaluate the ocular biometry agreement and prediction of postoperative refractive outcomes obtained using two swept-source optical coherence tomography (SS-OCT) biometers: Anterion (Heidelberg Engineering, Heidelberg, Germany) and Argos (Alcon, Fort Worth, TX, USA).…”
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  14. 754

    OCT-SelfNet: a self-supervised framework with multi-source datasets for generalized retinal disease detection by Fatema-E Jannat, Sina Gholami, Minhaj Nur Alam, Hamed Tabkhi

    Published 2025-07-01
    “…To address this, we have developed a self-supervised machine learning framework for detecting eye diseases from optical coherence tomography (OCT) images, aiming to achieve generalized learning while minimizing the need for large labeled datasets.MethodsOur framework, OCT-SelfNet, effectively addresses the challenge of data scarcity by integrating diverse datasets from multiple sources, ensuring a comprehensive representation of eye diseases. …”
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  15. 755

    Usefulness of the large language model ChatGPT (GPT‐4) as a diagnostic tool and information source in dermatology by Jacob P. S. Nielsen, Christian Grønhøj, Lone Skov, Mette Gyldenløve

    Published 2024-12-01
    “…As an easily accessible platform with vast user engagement, the Chat Generative Pre‐Trained Transformer (ChatGPT) holds great promise in medicine, with the latest version, GPT‐4, capable of analyzing clinical images. Objectives To evaluate ChatGPT as a diagnostic tool and information source in clinical dermatology. …”
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  16. 756
  17. 757

    Axial length acquisition success rates and agreement of two swept-source optical biometers in eyes with dense cataracts by Paz Orts-Vila, Santiago Tañá-Sanz, Cristina Tello-Elordi, Robert Montés-Micó, Pedro Tañá-Rivero

    Published 2024-09-01
    “…Our objective is to evaluate the axial length acquisition success rates and agreement of two SS-OCT biometers when measuring axial length and biometric parameters in eyes with dense cataracts.Methods46 eyes (46 patients) with dense cataracts (LOCS III grade ≥ 4) were measured 3 consecutive times using the Eyestar 900 and Argos SS-OCT biometers. …”
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  18. 758

    Selection of reference genes in Thermothelomyces fergusii: insights from genomic and expression analysis in response to different carbon sources by Abdul Waheed, Yi Chen, Hafiz Muhammad Rizwan, Muhammad Adnan, Xuekun Ma, Gang Liu

    Published 2025-07-01
    “…However, some reference genes can show significant variability in specific biological samples, raising concerns about the reliability of this method. This study assessed the expression levels of 12 reference genes in Thermothelomyces fergusii during spore and mycelium cultivation under different carbon source media (avicel, cellobiose, and glucose) using RT-qPCR. …”
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  19. 759
  20. 760

    Advancing artificial intelligence applicability in endoscopy through source-agnostic camera signal extraction from endoscopic images. by Ioannis Kafetzis, Philipp Sodmann, Robert Hüneburg, Jacob Nattermann, Nora Martens, Daniel R Englmann, Wolfram G Zoller, Alexander Meining, Alexander Hann

    Published 2025-01-01
    “…These differences hinder the generalizability of AI models in endoscopy.<h4>Methods</h4>We developed an AI-based method for extracting the camera signal from raw endoscopic images in a source-agnostic manner. …”
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