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skill

skill的相关文献在1966年到2022年内共计127篇,主要集中在常用外国语、肿瘤学、无线电电子学、电信技术 等领域,其中期刊论文105篇、专利文献22篇;相关期刊60种,包括疯狂英语阅读版(含光盘)、新课程.综合、山东外语教学等; skill的相关文献由179位作者贡献,包括翟西斌、李晓、孙良秀等。

skill—发文量

期刊论文>

论文:105 占比:82.68%

专利文献>

论文:22 占比:17.32%

总计:127篇

skill—发文趋势图

skill

-研究学者

  • 翟西斌
  • 李晓
  • 孙良秀
  • 郭怀军
  • Keiko Koide
  • Miho Tanaka
  • Reiko Okamoto
  • 叶冠缨
  • 吴林
  • 张继胜
  • 期刊论文
  • 专利文献

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    • Asaminew Teshome; Jie Zhang; Qianrong Ma; Stephen E. Zebiak; Teferi Demissie; Tufa Dinku; Asher Siebert; Jemal Seid; Nachiketa Acharya
    • 摘要: In recent years, there has been increasing demand for high-resolution seasonal climate forecasts at sufficient lead times to allow response planning from users in agriculture, hydrology, disaster risk management, and health, among others. This paper examines the forecasting skill of the North American Multi-model Ensemble (NMME) over Ethiopia during the June to September (JJAS) season. The NMME, one of the multi-model seasonal forecasting systems, regularly generates monthly seasonal rainfall forecasts over the globe with 0.5 - 11.5 months lead time. The skill and predictability of seasonal rainfall are assessed using 28 years of hindcast data from the NMME models. The forecast skill is quantified using canonical correlation analysis (CCA) and root mean square error. The results show that the NMME models capture the JJAS seasonal rainfall over central, northern, and northeastern parts of Ethiopia while exhibiting weak or limited skill across western and southwestern Ethiopia. The performance of each model in predicting the JJAS seasonal rainfall is variable, showing greater skill in predicting dry conditions. Overall, the performance of the multi-model ensemble was not consistently better than any single ensemble member. The correlation of observed and predicted seasonal rainfall for the better performing models—GFDL-CM2p5-FLOR-A06, CMC2-CanCM4, GFDL-CM2p5-FLOR-B01 and NASA-GMAO-062012—is 0.68, 0.58, 0.52, and 0.5, respectively. The COLA-RSMAS-CCSM4, CMC1- CanCM3 and NCEP-CFSv2 models exhibit less skill, with correlations less than 0.4. In general, the NMME offers promising skill to predict seasonal rainfall over Ethiopia during the June-September (JJAS) season, motivating further work to assess its performance at longer lead times.
    • 陶艺丞
    • 摘要: Many people go to school for an education._1__learn languages,history,geography,physics,chemistry and maths.Others go to school to learn a skill so that they can_2_a living.School__3_is very important and useful.
    • Salwa A. Mohamed; Imad H. Fashafsheh
    • 摘要: Background: Simulation-based training is a new strategy in teaching that gives the students good opportunities to learn and apply what they learn in nursing care safely. Aim: This study conducted to evaluate the effects of simulation-based training on nursing students’ communication skill, self-efficacy and clinical competence in practice. Subjects and Methods: Quiz-experimental design was used in this study (pre-posttest intervention), it was carried out on 100 nursing students first semester in 2019 using low and high-fidelity simulators. This study was carried out at College of Applied Medical Sciences-Bshia University. Data Collection: demographic data, communication skill, self-efficacy and clinical competence questionnaires. Analysis is done by SPSS version 20 software. Results: Participants who received the simulation-based training, showed statistical significant improvement in communication skill, self-efficacy, and clinical competence scores after participation in the simulation program (t = −32.64, p = 0.001;t = −19.9, p = 0.001;16.4, p = 0.001). Also, there are significant relation between gender and clinical competency (t = 2.768, p Conclusion: Simulation-based training in medical courses is effective in enhancing communication skill, self-efficacy and clinical competence. Multiple-patient simulations as a teaching-learning strategy in the nursing curriculum are highly recommended.
    • Joseph Nzau Mutemi
    • 摘要: Improvements that can be attained in seasonal climate predictions in various parts of Africa using the multimodel supersensemble scheme are presented in this study. The synthetic superensemble (SSE) used follows the approach originally developed at Florida State University (FSU). The technique takes more advantage of the skill in the climate forecast data sets from atmosphere-ocean general circulation models running at many centres worldwide including the WMO global producing centers (GPCs). The module used in this work drew data sets from the Four versions of FSU coupled model system, seven models from the DEMETER project which is the forerun to the current European Ensembles Forecast System, the NCAR Model, and the Predictive Ocean Atmosphere Model for Australia (POAMA), all making a set of 13 individual models. An archive consisting of monthly simulations of precipitation was available over all the 5 regions of Africa, namely Eastern, Central, Northern, Southern, and Western Africa. The results showed that the SSE forecast for precipitation carries a higher skill compared to each of the member models and the ensemble mean. Relative to the ensemble mean (EM), the SSE provides an improvement of 18% in simulation of season cycle of precipitation climatology. In Eastern Africa, during December-February season, a north-south gradient of precipitation prevails between Tropical East Africa and the sector of the region towards Southern Africa. This regional scale climate pattern is a direct influence of the Intertropical Convergence Zone (ITZC) across the African continent during this time of the year. The SSE emerges with superior skill scores such as lowest root mean square error above the EM and the member models, for example in the prediction of spatial location and precipitation magnitudes that characterize the see-saw precipitation pattern in Eastern Africa. In all parts of Africa, and especially Eastern Africa where seasonal precipitation variability is a frequent cause huge human suffering due to droughts and famine, the multimodel superensemble and its subsequent improvements will always provide a forecast that outweighs the best Atmosphere-Ocean Climate Model. This approach and results herein imply that climate services centres worldwide and Africa in particular can make more objective use of model forecast data sets provided by global producing centres (GPCs) for consensus climate outlooks.
    • 王浩; 吴林; 黄勇
    • 摘要: 本文主要研究了如何利用SKILL 汇编语言实现PDK 自动化测试以及操作界面化,列举了在实现PDK 自动化测试以及操作界面化的过程中遇到的难点.文章以华润上华0.13μm LG / MS 工艺中的rnplus 电阻为例,从利用程序提取Pcell CDF 参数信息,到实现multi-config 配置文件的保存与加载,着重介绍了各个环节中的难点以及相关问题的解决方法.PDK 自动化测试功能的实现,大大提高了Pcell测试模型建立的速度与程序的易用性,并且具有良好的适用性,能够广泛用于各个工艺平台的PDK 验证.
    • 马宇川
    • 摘要: 自英特尔新一代300系主板发布,其内存支持标准频率提升到DDR42666后,各内存厂商就开始大力推广相关产品,如内存厂商G.SKILL芝奇就在近期推出了SniperX狙击系列DDR42666。从外观上看,它与其他狙击系列内存相似,都配备了采用铝合金钻切工艺打造的大型银色散热片.
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