在翻译视角下浅析俄汉公文事务语体的词法、句法特点

在全球一体化日益加深的今天,各国之间的交流不断增多。包括:政治、经济、军事、医疗等各个方面。特别是中俄之间的贸易增多和外交事务活跃。导致两国公文来往频繁。本文旨在在文化视角下对俄汉公文事务语体翻译中的词法和句法特点进行简单的对比总结与归纳。     

应用型SAP_ERP供应链实训课程的设计研究

21世纪,顾客消费力量的强大以及制造业多品种、小批量、短周期的生产,共同促进了物流及供应链的发展和变革,ERP与供应链的结合改变了供应链“看不见”以及物流不通畅的问题,极大地加强了供应链在成本、效率、交货期方面的竞争力。应用型ERP供应链体系的研究为企业流程再造、创新培养人才、变革ERP供应链课程培训提供了理论依据。     

影子价格在产品计划中的应用和解法

在生产和经营等管理工作中,需要经常进行计划或规划。线性规划中的影子价格是在一定的资源情况下,合理利用资源从而达到实现最大利润时对资源的估价。本文将以经济分析问题中的最基础也最常见的产品计划问题为例,着重讨论线性规划求解的影子价格在其中的运用和解法,并且比较两种不同软件解答的优劣。     

基于OBE教学模式下电气设备及工厂供电课程的探究与改革

为了提高教学质量,符合现代工科发展要求,文章分析了电气设备及工厂供电课程的教学现状,并从三个方面:教学模式、实践环节、评价考核进行了基于OBE教学模式下电气设备及工厂供电课程的探究与改革。     

新时代中国特色社会主义文化自信提升过程中的问题研究

“文化自信是更基础、更广泛、更深厚的自信”,能赐予新时代中国特色社会主义事业发展更基本、更深沉、更持久的动力。本文通过阐释新时代中国特色社会主义文化自信的多维内涵,梳理坚定新时代中国特色社会主义文化自信的重要意义,探寻提升新时代中国特色社会主义文化自信过程中存在的问题,希望能为提升文化自信做出些有益探索。     

Development of a space cold atom clock

Atomic clocks with cold atoms play important roles in the field of fundamental physics as well as primary frequency standards. Operating such cold atom clocks in space paves the way for further exploration in fundamental physics, for example dark matter and general relativity. We developed a space cold atom clock (SCAC), which was launched into orbit with the Space Lab TG-2 in 2016. Before it deorbited with TG-2 in 2019, the SCAC had been working continuously for almost 3 years. During the period in orbit, many scientific experiments and engineering tests were performed. In this article, we summarize the principle, development and in-orbit results. These works provide the basis for construction of a space-borne time-frequency system in deep space.     

Paving the road toward the use of β-Fe2O3 in solar water splitting: Raman identification,phase transformation and strategies for phase stabilization

Although β-Fe₂O₃ has a high theoretical solar-to-hydrogen efficiency because of its narrow band gap, the study of β-Fe₂O₃ photoanodes for water splitting is elusive as a result of their metastable nature. Raman identification of β-Fe₂O₃ is theoretically and experimentally investigated in this study for the first time, thus clarifying the debate about its Raman spectrum in the literature. Phase transformation of β-Fe₂O₃ to α-Fe₂O₃ was found to potentially take place under laser and electron irradiation as well as annealing. Herein, phase transformation of β-Fe₂O₃ to α-Fe₂O₃ was inhibited by introduction of Zr doping, and β-Fe₂O₃ was found to withstand a higher annealing temperature without any phase transformation. The solar water splitting photocurrent of the Zr-doped β-Fe₂O₃ photoanode was increased by 500% compared to that of the pure β-Fe₂O₃ photoanode. Additionally, Zr-doped β-Fe₂O₃ exhibited very good stability during the process of solar water splitting. These results indicate that by improving its thermal stability, metastable β-Fe₂O₃ film is a promising photoanode for solar water splitting.     

Predicting future dynamics from short-term time series using an Anticipated Learning Machine

Predicting time series has significant practical applications over different disciplines. Here, we propose an Anticipated Learning Machine (ALM) to achieve precise future-state predictions based on short-term but high-dimensional data. From non-linear dynamical systems theory, we show that ALM can transform recent correlation/spatial information of high-dimensional variables into future dynamical/temporal information of any target variable, thereby overcoming the small-sample problem and achieving multistep-ahead predictions. Since the training samples generated from high-dimensional data also include information of the unknown future values of the target variable, it is called anticipated learning. Extensive experiments on real-world data demonstrate significantly superior performances of ALM over all of the existing 12 methods. In contrast to traditional statistics-based machine learning, ALM is based on non-linear dynamics, thus opening a new way for dynamics-based machine learning.