Subjects: Digital Publishing >> New Media submitted time 2023-10-08 Cooperative journals: 《中国传媒科技》
Abstract：文章分析科技期刊编辑现存问题,总结新媒体时代对科技期刊编辑的新要求,并提出科技期刊编辑的提升路径。传统科技期刊编辑受传统思维、工作模式影响及工作方式影响,不够重视新媒体,欠缺新技术掌握能力及创新力。新媒体时代科技期刊编辑应具备线上线下的链接能力,融合产品的创新能力,新媒体技术的驾驭能力。可以通过开设适合科技期刊编辑工作特点的新媒体素养课程,积极参加期刊行业中新媒体相关活动,掌握前沿资讯和技术,加强在新媒体方面对编辑的考核力度等途径来提升科技期刊编辑的相关素养。增强科技期刊编辑的新技术掌握能力迫在眉睫,科技期刊编辑应提高对新媒体时代下新技术运用的重视程度,提高综合素养和创新能力,不断探索科技期刊的可持续发展之路,为促进期刊质量的提升贡献自己一份力量。
Subjects: Digital Publishing >> New Media submitted time 2023-10-08 Cooperative journals: 《中国传媒科技》
Abstract：伴随科学技术的发展与社会的进步,人们的生活方式逐步改变,对于传统广播也提出了更高的要求,广播的功能也因此慢慢改变,逐渐朝多样化、多元化、网络化等方向发展,作为广播电台核心的广播中心技术也必然会朝着现代化的方向发展,但在发展的过程当中也不免会遇到各种各样急需解决的问题。文章简单分析了当前广播中心技术的发展,并分析了其所存在的问题,以期为业内对广播中心技术的深入研究提供若干参考。
Subjects: Library Science，Information Science >> Library Science submitted time 2023-07-26 Cooperative journals: 《图书情报工作》
Abstract： [Purpose/significance] Based on the migration project of Beijing Normal University library from integrated library system Aleph500 to the next generation library service platform Alma, this paper describes the implementation phase, personnel input, time arrangement, key nodes and key work of the migration project, analyzes the characteristics of the project implementation based on the results of literature research, and summarizes the rules of the project to provide experience for other libraries to complete related work. [Method/process] The paper investigates the cases of Alma system migration in foreign libraries, using the method of literature research. Based on the project of Alma system migration in the library of Beijing Normal University, three main stages of project implementation were introduced, and the characteristics of project implementation were analyzed. [Result/conclusion] In the process of the project, because there are many special situations for the external system conditions and the library's application, the time allocation of the main completion phase in Beijing Normal University Library is different from that of the literature research cases. Meanwhile, the technical staff of the library system undertook the organization and communication of the project team, and the business librarians who deal with the work related to electronic resource management also made some contributions.
Subjects: Materials Science >> Materials Science (General) submitted time 2023-03-31 Cooperative journals: 《腐蚀科学与防护技术》
Abstract： Incident involving failure occurred for a 40 months old upright type tee of gas filed gathering and transmission pipeline in a west natural gas field. The tee consisted of a main pipe of 16Mn steel and branch pipes of bimetal composite of 316L stainless steel+L416 steel. Examinations were performed to identify the cause of the failure, which include visual physical inspection, pipe thickness measurement and acquiring the galvanic corrosion behavior of 16Mn steel and 316L stainless steel in an oxygen-free medium containing chloride ion concentration 150 g/L with CO2 partial pressure 0.1 MPa at 65 ℃ using electrochemical methods, as well as Computational Fluid Dynamics (CFD) analysis of the tee with assumed angles as 90°, 45°and 30°respectively between the branch pipe and main pipe along the direction of inlet using the FLUENT software. Investigations revealed that for the present tee design, there existed galvanic couple of the metallic materials and the straight cutting structure of the tee caused the fluid changes radically. Gas field water gradually adhered to the inner side of the pipe due to the low velocity that caused by the vortex which was formed nearby the pipe explosion site. Corrosion then ensued as CO2 dissolved in the water. The area around the explosion site suffered from large wall shear stress caused by the fluid scouring action. Because of the synergy of galvanic corrosion and fluid flow erosion the pipe gradually thinned, and then perforated.
Subjects: Linguistics and Applied Linguistics >> Linguistics and Applied Linguistics submitted time 2022-01-05
Abstract： " [Objective] We study the reading performance of different fonts and writing systems that are using in Chinese publications. [Methods] Specifically, the Chinese characters in a sentence are rendered into their corresponding glyph images, then fold those images into a three-dimensional sentence tensor according to the word order. For different fonts or simplified/traditional Chinese text, we can get the corresponding representations with visual differences. By inputting the obtained sentence tensor into the proposed deep language model, we test them on text classification, which can objectively study the influence of font and writing system on reading performance. [Results] According to the experiments on two real-world Chinese text classification datasets, Toutiao and Thucnews, we found that the accuracy of text classification on some uncommon fonts is lower than that of common used fonts, and the text representation efficiency of different fonts in the common fonts is also different. [Conclusions] Through a hypothesis test, we found that there is a significant difference in the accuracy of using the data sets of regular script and bold script for text classification task, and the efficiency of regular script is higher than that of bold script. There are significant differences in reading performance between simplified and traditional writing systems. " "
Peer Review Status:
Awaiting Review
Subjects: Computer Science >> Integration Theory of Computer Science submitted time 2019-01-28 Cooperative journals: 《计算机应用研究》
Abstract： In the age of big data, it is increasingly difficult to make the community structure mining of large-scale complex networks by using the traditional community discovery algorithm and the accuracy rate is low. Therefore, this research come up with L_1-ECDA, a community discovery algorithm for deep sparse self-encoder based on smooth L_1 norm. This algorithm preprocessed the adjacency matrix of the network diagram with the method based on s Jump; then it established the deep sparse self-encoder based on smooth L_1 norm and get the low dimensional characteristic matrix by training the similarity matrix of the network graph; Finally, it get the network community structure by clustering the low-dimensional feature matrix through the K-means algorithm. Experiments on simulated network and real network data set show that the algorithm of L_1-ECDA improves the accuracy of community recognition effectively. Its accuracy rate is 4% higher than the DBCS algorithm on average, and 5.4% higher than Deepwalk algorithm and CoDDA algorithm on average.
Subjects: Computer Science >> Integration Theory of Computer Science submitted time 2018-05-20 Cooperative journals: 《计算机应用研究》
Abstract： Traditional methods of biomedical named entity recognition（NER） require a large amount of labeled data in the target domain, but the cost of tagging data is expensive. In order to reduce the requirement of labeled data in target domain for NER, the problem of NER in biomedical texts is transformed into a hidden Markov model based on transfer learning. The data sets in the target domain for NER do not need a large amount of labeled data to learn a model for the task by transfer learning. With the help of labeled data in source data sets across a different but related domain, and use the method of data gravitation to evaluate the contribution of samples in the auxiliary data sets about learning a model for the target domain. And calculate the weights of the data from the source domain and the data from the target domain. And then construct the hidden Markov model algorithm(BioTrHMM) based on the transfer learning. The experiment results on GENIA corpus show the BioTrHMM algorithm has better performance than the traditional algorithm of hidden Markov model, only uses small amount of labeled data in target domain.
Subjects: Computer Science >> Integration Theory of Computer Science submitted time 2018-04-24 Cooperative journals: 《计算机应用研究》
Abstract： To make full use of the context information of the papers, combined with the construction method of graph model and query vector, this paper proposed a fusion query information personalized citation recommendation method. Built a three layer graph model through three kinds of paper information, and set different parameters on different layers to adjust the jump probability of nodes to different levels; the query vector constructed using word2vec technology can effectively use the text context information, so that similar papers are closer to the distance, and then the candidate papers are predicted and recommended. Computational analyzes performed on the Association of Computational Linguistics Anthology Network dataset showed an average increase of about 7% over recall@N and an average increase of about 11% over NDCG@N for the same query compared to the original method. Experimental results show that the proposed method can effectively improve the quality of citation recommendation and get better recommendation results.
Subjects: Dynamic and Electric Engineering >> Engineering Thermophysics submitted time 2017-11-07 Cooperative journals: 《工程热物理学报》
Abstract：液滴蒸发机制目前引起人们广泛重视。通过研究纳米颗粒质量溶度为0. 05%的AL2O2液滴在铁表面和玻璃表面的蒸发过程，发现液滴在铁表面蒸发时呈现4种蒸发形态:定接触线形态、定接触角形态、粘滑形态和不稳定形态;而在玻璃表面的蒸发只有不稳定形态。主要原因是液滴在铁表面蒸发时，固一液表面张力更大，形成定接触线蒸发形态;随着蒸发进行，液滴温度下降，气一液表面张力变大，因而产生粘滑形态。
Subjects: Astronomy >> Astrophysical processes submitted time 2017-09-26 Cooperative journals: 《天文研究与技术》
Abstract：月球玄武岩是月球岩石构成的重要种类之一，出露月表面积占全月表的17%,主要填充在月球正面的大型平坦盆地中。月海玄武岩被认为是来源于早期岩浆分异作用产生的月慢堆积物重熔，在超压作用下喷出月表，因而较为年轻，较少受到大的撞击扰动，保存的信息较为完整。不同的玄武岩地质单元的时代、分布和体积提供了月慢熔融作用的时空分布记录，有助于理解月慢演化、月球内部成分结构和物质组成，具有十分重要的研究价值。介绍了玄武岩的探测背景，以及主要组成矿物的结构、化学成分及光谱表现，重点介绍了基于遥感探测数据的玄武岩分类情况，并总结了目前研究成果中存在的不足。
Subjects: Materials Science >> Materials Science (General) submitted time 2016-11-11 Cooperative journals: 《中国腐蚀与防护学报》
Abstract：钢铁基体上制备化学镀Ni-P镀层后，分别采用γ-氨丙基三乙氧基硅烷（3-APTS），硬脂酸和3-APTS/硬脂酸对镀层进行防腐蚀后处理，利用点滴法，贴滤纸法，盐水浸渍试验法和电化学测试研究了镀层耐蚀性的变化，比较了各工艺的后处理效果。结果表明：三种后处理工艺都能提高化学镀Ni-P镀层的抗氧化性和耐蚀性；经3-APTS/硬脂酸复合处理后的镀层耐蚀性要优于3-APTS和硬脂酸的单一处理；镀层外观都没有明显变化；同时分析了缓蚀机理.
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