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  1. 17321

    Attitudes des éleveurs et sensibilité des systèmes d'élevage face aux sécheresses dans les Alpes françaises by Baptiste Nettier, Laurent Dobremez, Jean-Luc Coussy, Thomas Romagny

    Published 2011-01-01
    “…Livestock farming systems in the French Alps are particularly exposed to the predicted climate change and most of them have already experienced periods of drought since the beginning of the 2000s. …”
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  2. 17322

    GOVERNMENT EXPENDITURES WITHOUT GROWTH: THE CASE OF TURKEY by Orçun Söylemez, Özkan Zülfüoğlu

    Published 2021-11-01
    “…Five important variables that might affect government expenditures from different angles are evaluated regarding their contributions to the out-of-sample predictions of government expenditures using random forest methodology. …”
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  3. 17323

    ANRIL regulates retinoblastoma progression via targeting autophagy by miR-328-3p/TSC1/ULK signaling by Yang Yang, Yuezhi Zhang, Yanmei Fu, Shuanglian Li, Xiaolong Yin

    Published 2024-08-01
    “…Here, our data demonstrated that ANRIL overexpression inhibited miR-328-3p expression, but promoted expression of autophagy-related proteins (LC3B, ATG5, and BECN1). Then we predicted the binding sites for ANRIL with miR-328-3p, and for miR-328 3p with TSC1/ULK2 3′-UTR, and confirmed the combination of miR-328-3p and ANRIL and TSC1/ULK2 3′-UTR. …”
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  4. 17324

    Speed and agility as predictors of long jump performance of male athletes by Mukesh Kumar Mıshra, Vishan Singh Rathore

    Published 2016-08-01
    “…The main purpose of this study was to predict the long jump performance on the basis of speed, agility, height and weight of male athletes. 46 male athletes were participated in present study (mean ± SD; 22.28 ± 1.3770 years). …”
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  5. 17325

    Future Precipitation Projection Based on Multiple Statistical Downscaling Methods — A Case Study of Tibetan Plateau by DONG Qianjin, YUAN Xin

    Published 2024-01-01
    “…Although the Coupled Model Intercomparison Project 6 (CMIP6) can well predict large-scale climatic factors,its effect on projecting watershed scales is still different from the measured data.The error of climate models is even bigger over the Tibetan Plateau,which is a high-altitude region with complicated terrain.Based on the historical scenario of the latest generation of high-resolution CMIP6 model and a variety of future climate emission scenarios such as SSP126,SSP245,SSP370,and SSP585,this paper conducts downscaling analysis and evaluates the projection performance of various statistical downscaling methods such as bias correction,KNN,and SDSM.On this basis,the best statistical downscaling method is used to project future precipitation over the Tibetan Plateau, and the spatial-temporal evolution characteristics of the projected precipitation are analyzed and compared with the historical precipitation over the Tibetan Plateau.The results reveal that the applicability amongst the three statistical downscaling methods in the Tibetan Plateau is large,with the linear regression downscaling method performing the best,followed by the bias correction method and the KNN analogy method.According to the analysis of future precipitation projections,the average precipitation and extreme precipitation over the Tibetan Plateau in the next 80 years will exhibit an overall upward trend,although the rise will be slight,and the spatial distribution will not change much.The results can provide a scientific foundation for the evaluation,planning,and management of water resources on the Tibetan Plateau.…”
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  6. 17326

    Diia City: An Innovative Legal Regime. Can Ukraine’s Legal Innovation Shape the Global Technological Landscape? by Petro Kornieiev, Ivan Yatskevych

    Published 2024-12-01
    “…Legal stability and regulatory predictability are highlighted as critical for its success. …”
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  7. 17327

    COVID-19 in Cyanotic Congenital Heart Disease by Lama A Ammar, Joseph E Nassar, Fadi Bitar, Mariam Arabi

    Published 2023-01-01
    “…While the anatomic complexity of CHD does not seem to predict the severity of infection, patients with worse physiological stages are more susceptible such as cyanosis and pulmonary hypertension. …”
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  8. 17328

    Narrative microstructure and macrostructure in adolescents with Down syndrome and Williams syndrome by Aitana Viejo, Maite Fernández-Urquiza, Eliseo Diez-Itza

    Published 2025-01-01
    “…Following regression analyses, microstructure predicted macrostructure in typically developing adolescents, while no association was found between both levels in the profiles of adolescents with WS and DS, which was interpreted as an atypical dissociation.…”
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  9. 17329

    Development of Lightning Nowcasting and Warning Technique and Its Application by Qing Meng, Wen Yao, Liangtao Xu

    Published 2019-01-01
    “…The Chinese Academy of Meteorological Sciences Lightning Nowcasting and Warning System (CAMS_LNWS) was designed to predict lightning within the upcoming 0-1 h and provide lightning activity potential and warning products. …”
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  10. 17330

    Reconstruction of Three-Dimensional Porous Media Using Deep Transfer Learning by Yi Du, Jie Chen, Ting Zhang

    Published 2020-01-01
    “…Currently, as one of the important branches of machine learning methods, the deep transfer learning (DTL) method has shown good performance in extracting features and transferring them to the predicted objects, which can be used for the reconstruction of porous media. …”
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  11. 17331

    The Effect of Climate Change on Variations in Dew Amount in a Paddy Ecosystem of the Sanjiang Plain, China by Yingying Xu, Baixing Yan, Jie Tang

    Published 2015-01-01
    “…Based on synchronous meteorological data, a stepwise linear multivariation regression model was established to predict dew amount. The model successfully interpreted the relationship between simulated and measured dew intensity. …”
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  12. 17332

    STUDY ON THE EFFECT OF PREPREG PLACEMENT TIME ON THE INTERLAMINAR SHEAR STRENGTH OF ARAMID COMPOSITE MATERIAL (MT) by JIN Bo, ZHANG AiHua, SHANG FuLin

    Published 2023-01-01
    “…According to the experimental data, the regression model of the process parameters on the ILSS was established, and the reliability and validity of the regression model were verified by the residual error, the comparison between the predicted value and the actual value. Using this regression model can accurately give the ILSS of the aramid III composite under different storage time of the prepreg, and obtain a single parameter sensitivity curve. …”
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  13. 17333

    Deciphering the psychological tapestry of FGIDs: unveiling the impact of negative affect, rumination, and expression suppression by Xin-Xin Ma, Zheng-Hua Xiao, Wei Chen, Shou-Ying Zhao

    Published 2025-01-01
    “…Results Negative affect positively predicts FGIDs, with rumination mediating the relationship between NA and FGIDs. …”
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  14. 17334

    Functional Movement Is Negatively Associated with Weight Status and Positively Associated with Physical Activity in British Primary School Children by Michael J. Duncan, Michelle Stanley

    Published 2012-01-01
    “…BMI and PA were also significant predictors of functional movement (𝑃=.0001, Adjusted 𝑅2=.602) with BMI and PA predicting 52.9% and 7.3% of the variance in total FMS score, respectively. …”
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  15. 17335

    Language awareness as a prerequisite of literacy skills by Anna Kucharská, Klára Špačková, Martina Šmejkalová

    Published 2022-12-01
    “… Monitoring children’s language ability levels makes it possible to predict their school achievement and identify potential difficulties. …”
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  16. 17336

    Young beginning learners’ vocabulary learning via input and output tasks: The role of working memory by Mark Feng Teng

    Published 2024-07-01
    “…The results demonstrated that: (1) both input and output tasks significantly influenced the learning and retention of new words, (2) complex WM did not substantially predict task effects on the learning and retention of new words, and (3) phonological WM had a notable impact on learning and retaining new words under the input and output task conditions. …”
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  17. 17337

    Images of War in Late Victorian War and Adventure Novels for Children by Dorothea Flothow

    Published 2007-12-01
    “…Although the most prominent of these strategies, the “war-games metaphor,” which trivialized war by comparing it to a football or a cricket match, has been examined by a number of studies, little attention has so far been paid to other conventions of the genre which also serve to familiarize war and suggest its basically harmless nature: the characterization of the novels’ prototypical English boy-hero; their formulaic plot and conventionalized cast; the way the novels remember Britain’s glorious military past to predict her equally victorious future; or the ways by which military defeats and difficulties are glossed over. …”
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  18. 17338

    The Effect of Rainfall, Temperature, and Relative Humidity on the Yield of Cassava, Yam, and Maize in the Ashanti Region of Ghana by Harriet Achiaa Dwamena, Kassim Tawiah, Amanda Serwaa Akuoko Kodua

    Published 2022-01-01
    “…Correlation analysis of each climatic condition on the yield of each crop per hectare of land revealed that each of the climatic conditions was significant in predicting the crop yields. Separate multiple linear regression models were obtained for crop yield per hectare of land under all the climatic conditions. …”
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  19. 17339

    Effect of aggregate type on moisture susceptibility of modified cold recycled mix asphalt: evaluation by mechanical tests and Surface Free Energy method by Hassan Latifi, Nahid Amini

    Published 2020-04-01
    “…Finally, it was shown that results of SFE method were compatible with the mechanical tests in predicting moisture damage.…”
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  20. 17340

    Correlation Between Involute Profile Waviness and Gear Transmission Performance by Zhou Yuansheng, Yue Huijun, Wu Xiangkai, Shi Zhaoyao

    Published 2023-03-01
    “…Thus the waviness information of gear measurement results between macro and micro quantities is extended and applied, and the research provides a basis for predicting transmission performance based on waviness information.…”
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