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多球模式,全面培养——高校乒乓球教学训练探究
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作者 弋思洁 《运动-休闲(大众体育)》 2021年第4期44-44,共1页
乒乓球被誉为中国的“国球”,我国拥有为数众多的乒乓球爱好者,群众基础底蕴深厚,教学训练世界领先,乒乓球是高校体育教学体系的重要构成,持续展开高校乒乓球教学训练对乒乓球运动发展及学生全面培养具有重要意义。多球模式是乒乓球训... 乒乓球被誉为中国的“国球”,我国拥有为数众多的乒乓球爱好者,群众基础底蕴深厚,教学训练世界领先,乒乓球是高校体育教学体系的重要构成,持续展开高校乒乓球教学训练对乒乓球运动发展及学生全面培养具有重要意义。多球模式是乒乓球训练的重要方式,它对于学习者的身体素质、攻防意识、击球技巧、战术运用都具有非常积极的影响。此次研究围绕多球模式在高校乒乓球教学训练中的应用展开研究分析,为学生们的乒乓球素养全面培养提供有效支持与参考。 展开更多
关键词 多球模式 高校 乒乓 教学训练
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多球训练模式在高等院校羽毛球教学中的应用探析 被引量:7
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作者 余明 《赤峰学院学报(自然科学版)》 2019年第11期138-140,共3页
在高等院校的羽毛球教学中,多球训练模式能够提升学生的羽毛球技术水平、增强身体素质,并锻炼身体协调性,更发挥着完善教学效果的作用.本文首先阐述羽毛球多球训练模式的类型,进一步探讨高等院校羽毛球教学中的多球训练模式应用价值与... 在高等院校的羽毛球教学中,多球训练模式能够提升学生的羽毛球技术水平、增强身体素质,并锻炼身体协调性,更发挥着完善教学效果的作用.本文首先阐述羽毛球多球训练模式的类型,进一步探讨高等院校羽毛球教学中的多球训练模式应用价值与不足之处,并提出该模式的应用方式与注意事项. 展开更多
关键词 多球训练模式 羽毛教学 高等院校 体育训练
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In-Situ Differentiation of Acidic and Non-Acidic Tundra via Portable X-ray Fluorescence (PXRF) Spectrometry 被引量:4
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作者 Somsubhra CHAKRABORTY David C. WEINDORF +6 位作者 GARY J. MICHAELSON Chien Lu PING Ashok CHOUDHURY Tarek KANDAKJI Autumn ACREE Akriti SHARMA WANG Dandan 《Pedosphere》 SCIE CAS CSCD 2016年第4期549-560,共12页
Frozen soils or those with permafrost cover large areas of the earth's surface and support unique vegetative ecosystems. Plants growing in such harsh conditions have adapted to small niches, which allow them to su... Frozen soils or those with permafrost cover large areas of the earth's surface and support unique vegetative ecosystems. Plants growing in such harsh conditions have adapted to small niches, which allow them to survive. In northern Alaska, USA, both moist acidic and non-acidic tundra occur, yet determination of frozen soil p Hs currently requires thawing of the soil so that electrometric pH methods can be utilized. Contrariwise, a portable X-ray fluorescence(PXRF) spectrometer was used in this study to assess elemental abundances and relate those characteristics to soil pH through predictive multiple linear regressions. Two operational modes, Soil Mode and Geochem Mode, were utilized to scan frozen soils in-situ and under laboratory conditions, respectively, after soil samples were dried and ground. Results showed that lab scanning produced optimal results with adjusted coefficient of determination(R^2) of 0.88 and 0.33 and root mean squared errors(RMSEs) of 0.87 and 0.34 between elemental data and lab-determined pH for Soil Mode and Geochem Mode, respectively. Even though the presence of ice attenuated fluoresced radiation under field conditions, adjusted R^2 and RMSEs between the datasets still provided reasonable model generalization(e.g., 0.73 and 0.49 for field Geochem Mode). Principal component analysis qualitatively separated multiple sampling sites based on elemental data provided by PXRF, reflecting differences in the chemical composition of the soils studied. Summarily, PXRF can be used for in-situ determination of soil pH in arctic environments without the need for sample modification and thawing. Furthermore, use of PXRF for determination of soil pH may provide higher sample throughput than traditional eletrometric-based methods, while generating elemental data useful for the prediction of multiple soil parameters. 展开更多
关键词 frozen soil Gelisols Geochem Mode proximal sensing Soil Mode soil pH determination
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