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  1. 1341

    Contribution of Savings and Internal Lending Communities to the Youth Livelihood in Rwanda: The Case of Gikongoro Diocese Project 2006-2010 by Jacques, Sezikeye

    Published 2023
    “…This study set out to assess the socio-economic impact of SILC on youth livelihood development through the increase in access to finances to boost business and income-generating activities within rural settings in Rwanda, as well as looking at possible challenges and limitations for a proper recommendation that may result in the expansion of several youth groups. …”
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    Other
  2. 1342

    Factors Affecting the Growth and Expansion of Business Firms in Ruhinda Sub County Rukungiri District. by Arinaitwe, Fred

    Published 2023
    “…The study was guided by the following objectives; to describe the factors affecting business growth in Ruhinda Sub County in Rukungiri District; to examine the challenges faced by business firms in Ruhinda Sub County in Rukungiri District; to suggest strategies to boost growth and expansion of business firms in Ruhinda Sub County in Rukungiri District. …”
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    Thesis
  3. 1343
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  5. 1345

    Retracing Hotbeds of the 1918–19 Influenza Pandemic. Spatial Differences in Seasonal Excess Mortality in the Netherlands by Rick J. Mourits, Ruben Schalk, Albert Meroño-Peñuela, Joe Raad, Auke Rijpma, Bram van den Hout, Richard L. Zijdeman

    Published 2021-03-01
    “…Our analyses show that excess mortality was highest in Oost-Brabant, Zuid-Limburg, Noord-Holland, and Drenthe, Groningen, and Overijssel, whereas excess mortality was low in Zuid-Beveland, the Utrechtse Heuvelrug, and the Achterhoek. …”
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    Article
  6. 1346

    Heterogeneity of avian infectious bronchitis virus population by Ye. V. Ovchinnikova, L. O. Scherbakova, S. N. Kolosov, A. N. Andriyasova, N. G. Zinyakov, Z. B. Nikonova, A. A. Kozlov, P. B. Akshalova, D. A. Altunin, D. B. Andreychuk

    Published 2020-03-01
    “…The paper presents identification and genotyping results of the avian infectious bronchitis virus in one of the poultry farms in the Saratov Oblast (the Russian Federation) in 2018–2019. The samples of internal organs and blood, as well as oropharyngeal and cloacal swabs were taken from chicks and layers of different ages in the parent and replacement flocks. …”
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    Article
  7. 1347
  8. 1348

    Clash of Drought Narratives: A Study on the Role of Small Reservoirs in the Emergence of Drought Impacts by Germano G. Ribeiro Neto, Lieke A. Melsen, Alexandre C. Costa, David W. Walker, Louise Cavalcante, Sarra Kchouk, João Paulo Brêda, Eduardo S. P. R. Martins, Pieter R. vanOel

    Published 2024-07-01
    “…Specifically, the presence of small reservoirs has the potential to boost local agricultural production by up to 5 times compared to scenarios without these structures. …”
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    Article
  9. 1349

    Analyzing and forecasting under-5 mortality trends in Bangladesh using machine learning techniques. by Shayla Naznin, Md Jamal Uddin, Ishmam Ahmad, Ahmad Kabir

    Published 2025-01-01
    “…This study employs machine learning models, including Linear Regression, Ridge Regression, Lasso Regression, Bayesian Ridge, Decision Tree, Gradient Boosting, XGBoost, and CatBoost, to forecast future trends in under-5 mortality. …”
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    Article
  10. 1350

    EEG-Based ADHD Classification Using Autoencoder Feature Extraction and ResNet with Double Augmented Attention Mechanism by Jayoti Bansal, Gaurav Gangwar, Mohammad Aljaidi, Ali Alkoradees, Gagandeep Singh

    Published 2025-01-01
    “…Results: AUC, F1-score, accuracy, precision, recall, and other standard classifiers like Random Forest and AdaBoost were utilized to compare the model’s performance. …”
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    Article
  11. 1351

    Fault Diagnosis of Planetary Gearbox Based on Motor Current Signal Analysis by Ziyuan Jiang, Qinkai Han, Xueping Xu

    Published 2020-01-01
    “…Subsequently, four classical machine learning models, including the support vector machine (SVM), decision tree (DT), random forest (RF), and AdaBoost, are used for fault classifications based on the features extracted via principal component analysis (PCA). …”
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    Article
  12. 1352

    Monitoring Soil Salinity in Arid Areas of Northern Xinjiang Using Multi-Source Satellite Data: A Trusted Deep Learning Framework by Mengli Zhang, Xianglong Fan, Pan Gao, Li Guo, Xuanrong Huang, Xiuwen Gao, Jinpeng Pang, Fei Tan

    Published 2025-01-01
    “…These variables are then integrated into various machine learning models—such as Ensemble Tree (ETree), Random Forest (RF), Extreme Gradient Boosting (XGBoost), and LightBoost—as well as deep learning models, including Convolutional Neural Networks (CNN), Residual Networks (ResNet), Multilayer Perceptrons (MLP), and Kolmogorov–Arnold Networks (KAN), for modeling. …”
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    Article
  13. 1353

    Spatiotemporal Distributions of Sheep and Goat Pox Disease Outbreaks in the Period 2013–2019 in Eastern Amhara Region, Ethiopia by Sileshi Aregahagn, Belege Tadesse, Bethelihem Tegegne, Yalelet Worku, Seid Mohammed

    Published 2021-01-01
    “…The incidence differed between areas, being the lowest in hot dry month and highest in warm and cold moist months. Sheep and goat pox outbreaks generally have a peak in November followed by August and a low in May. …”
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    Article
  14. 1354

    Grazing regime rather than grazing intensity affect the foraging behavior of cattle by You Wang, Rui Yu, Xin Li, Ronghao Chen, Jiahui Liu

    Published 2025-03-01
    “…Five machine learning models—XGBoost, Random Forest, Decision Tree, Extra Trees, and CatBoost—were employed to classify cattle's behavior and to assess the impact of grazing strategies on these behaviors. …”
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    Article
  15. 1355

    Effect of Different Bleaching Methods on Monomer Release from Aged Microhybrid and Nanohybrid Resin Composites by Siavash Abdollahpour, Tarane Estedlal, Nasim Chiniforush, Niyousha Rafeie, Nariman Nikparto, Mahdi Abbasi, Ladan Ranjbar Omrani

    Published 2023-01-01
    “…The samples were divided into 4 groups: OB: conventional in-office bleaching with Opalescence Boost PF 40% gel; HB: home bleaching with Opalescence PF 15% gel; LB: bleaching with JW Power bleaching gel followed by diode laser application; and C: control group without bleaching. …”
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    Article
  16. 1356
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  18. 1358

    FACTORS INFLUENCING THE ADOPTION OF INTEGRATED SOIL FERTILITY MANAGEMENT TECHNOLOGIES BY SMALLHOLDER FARMERS IN NAMTUMBO DISTRICT, TANZANIA by Hija Walad Mwatawala, Estherbella Martin Burian

    Published 2024-06-01
    “…In order to guarantee accurate agricultural information on ISFM technologies and boost productivity, the study recommends increasing the number of extension staff and raising awareness among farmers about the importance of using extension staff. …”
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    Article
  19. 1359

    Comportements et distribution spatiale de trois espèces de singes néotropicaux, (Callithrix geoffroyi, Callicebus cupreus et Leontopithecus chrysomelas) dans un groupe multi-espèce... by Gladez Shorland, Jean Pascal Guery

    Published 2015-03-01
    “…La présente étude cherche à déterminer l'effet de la présence de visiteurs dans un enclos d'immersion sur un groupe multi-espèces de petits singes néotropicaux comprenant des ouistitis de Geoffroy (Callithrix geoffroyi), des titis roux (Callicebus cupreus) et des tamarins lions à tête dorée (Leontopithecus chrysomelas) dans un enclos naturaliste et boisé au parc de La Vallée des Singes, en Vienne (France). …”
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    Article
  20. 1360

    Research on control strategies for low-pressure components in integrated thermal management systems based on optimal coefficient of performance by Rongjiang Tang, Lei Guan, Cheng Xu, Yanhong Wei, Xianming Meng, Bin Jia, Shuhan Wen

    Published 2025-02-01
    “…These insights are meaningful for developing effective system control strategies to boost energy efficiency and optimize cooling capacity distribution. …”
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    Article