Reviewerly/exHarmony huggingface dataset:
Study on the Ways of Training Undergraduates’ Employment Ability under the Mode of Low Carbon Economy Development

Abstract The development and employment of low-carbon economy is the two hot issues of concern in today’s society. The development of low-carbon economy has promoted the adjustment of industrial structure, which in turn affects the employment structure and has an important impact on employment. At the same time, employment in turn affects the industry. The structural changes promote the development of low-carbon economy to a certain extent, and the mutual influence of each other promotes each other. The interaction between college students as a special group of employment and low-carbon economic development is more significant. The state should actively adopt policy support and technological innovation. Measures such as industrial upgrading, personnel training, environmental construction, and establishment of mechanisms promote synergistic development and benign interaction between the two, so as to better promote the sound and rapid development of the social economy, effectively solve the employment problems of college students, and promote the comprehensive and coordinated social and human and sustainable development.
MORALITY AS A SPECIFIC FORM OF HUMAN ACTIVITY MOTIVATION

This collective work is a critical analysis of the main tendencies of contemporary humanitarianism and their evolution within the framework of philosophical, historical and political contexts. Different directions of humanitarian knowledge are considered, ranging from historiosophical, civilizational, political, ethical, culturological and philosophical, historical and memorial.The book is intended for researchers, post-graduate students, students of humanities.
Improved Maximum Likelihood Filter Based on UD Decomposition Algorithm and its Application in Transfer Alignment

For the problem that the statistical characteristics of noise is difficult to accurately determine, and meantime the accumulation of calculation error will cause the state estimation covariance matrix to lose positive definiteness in the process of transfer alignment(TA), this paper proposes an improved maximum likelihood adaptive Kalman filter(AKF) based on UD decomposition algorithm. Firstly, real-time estimators of system noise and measurement noise according to the maximum likelihood criterion are constructed, and the observation information is used to update and correct the statistical characteristics of the noise in real time; Secondly, the UD decomposition algorithm is performed on the one-step prediction error covariance matrix, and the decomposed matrixes are updated with time to ensure the symmetric positive definiteness of the covariance matrix. The improved algorithm is applied to TA and compared with the traditional maximum likelihood filter. The simulation results show that the improved algorithm can maintain the noise adaptive ability. At the same time, when the prior state covariance matrix is unknown, the numerical stability of the filtering process can be effectively improved and the fast TA can be achieved.
The Effect of The Survey Question Read Reflect Recite Review (SQ4R) Technique and Scheme Technique to The Improve Understanding Reading Skills of Indonesian Language Lesson

Reading is the door to knowledgement of world. The reading ability obtaine not naturally, but through the learning process. The reading learning technique consists of several types. The purpose of this study to determine the effect of Question Survey Technique Read Reflect Recite Review (SQ4R) Techn
Indonesian Interference toward English Used on Outdoor Advertisement Boards and Banner in Sukoharjo, Central Java

Interference is a common phenomenon in second language learning. However, the researchers are interested in analyzing interference from another point of view. This research aims at finding the types of Indonesian interference toward English found in outdoor advertisement boards and banners in Sukoharjo. The researchers use some theories dealing with interference such as the definition of interference and type of interference. This research belongs to a descriptive qualitative research. Data of this research are English words, phrases, and sentences consisting of Indonesian interference toward English used in outdoor advertisement boards and banner. The data are taken from outdoor advertisement boards and banners in Sukoharjo. The technique of data collection used is observation then followed by writing technique. English words, phrases, and sentences with no interference are reduced. Then the data found are encoded with No data/Data/Kinds of Interference. The researchers use theory triangulation during this research. The researchers found 74 data of Indonesian interference toward English in outdoor advertisement boards and banners in Sukoharjo. After analyzing the data, the researchers found that there are 6 types of Indonesian interference toward English; (1) syntactic interference in the formation of phrase and sentence (2) Lexical interference in the case of borrowing words adapted into Indonesian spelling (3) Phonological interference in vowel sounds, consonant sounds, and semivowel sounds (4) Morphological interference in the process of affixation (5) Graphic interference in the spelling principle (6) Translation interference which happens because of direct translation.&#x0D; Keywords: advertisement, language interference, kinds of interferences.
The Impact of Academic Supervision and Classroom Action Research Training on Professional Competence of Elementary School Teacher

There are some steps to improve teacher professional competencies including academy supervision and classroom action research training. The purpose of this study is 1) To know the effect of academic supervision on the professional competencies of elementary school teachers, 2) To know the effect of
Application of seismic exploration in Xiong'an New area

PreviousNext No AccessSEG 2019 Workshop: Geophysics for Smart City Development, Beijing, China, 29–31 July 2019Application of seismic exploration in Xiong'an New areaAuthors: Bai XumingWang RuizhenLi HaidongYuan ShenghuiCui HongliangWei YibingCheng ZhanzhanBai XumingHuabei Geophysical Department of BGP, CNPC, Renqiu, Hebei Province, 062552Search for more papers by this author, Wang RuizhenHuabei Geophysical Department of BGP, CNPC, Renqiu, Hebei Province, 062552Search for more papers by this author, Li HaidongHuabei Geophysical Department of BGP, CNPC, Renqiu, Hebei Province, 062552Search for more papers by this author, Yuan ShenghuiHuabei Geophysical Department of BGP, CNPC, Renqiu, Hebei Province, 062552Search for more papers by this author, Cui HongliangHuabei Geophysical Department of BGP, CNPC, Renqiu, Hebei Province, 062552Search for more papers by this author, Wei YibingHuabei Geophysical Department of BGP, CNPC, Renqiu, Hebei Province, 062552Search for more papers by this author, and Cheng ZhanzhanHuabei Geophysical Department of BGP, CNPC, Renqiu, Hebei Province, 062552Search for more papers by this authorhttps://doi.org/10.1190/smct-2019-02.1 SectionsAboutPDF/ePub ToolsAdd to favoritesDownload CitationsTrack CitationsPermissions ShareFacebookTwitterLinked InRedditEmail Abstract With the development of economy, the process of urbanization is speeding up, and the space on the urban ground is getting narrower, people gradually turn the space of urban construction into underground. So various underground projects of digital cities emerged as the times require, such as subway, cross-river tunnel, underground civil air defense engineering and the foundation of high-rise buildings, etc. However, if we don't understand the digital city's near-surface structure, then during the construction and operation of underground engineering, the surrounding environment, especially the geological environment, will be affected to some extent. Keywords: groundwater, faults, wellsPermalink: https://doi.org/10.1190/smct-2019-02.1FiguresReferencesRelatedDetails SEG 2019 Workshop: Geophysics for Smart City Development, Beijing, China, 29–31 July 2019ISSN (online):2159-6832Copyright: 2019 Pages: 25 publication data© 2019 Published in electronic format with permission by the Society of Exploration GeophysicistsPublisher:Society of Exploration Geophysicists HistoryPublished: 21 Oct 2019 CITATION INFORMATION Bai Xuming, Wang Ruizhen, Li Haidong, Yuan Shenghui, Cui Hongliang, Wei Yibing, and Cheng Zhanzhan, (2019), "Application of seismic exploration in Xiong'an New area," SEG Global Meeting Abstracts : 2-2. https://doi.org/10.1190/smct-2019-02.1 Plain-Language Summary KeywordsgroundwaterfaultswellsPDF DownloadLoading ...
Comparative Study of Neural Network based RSA Cryptosystem on Various Parameters

The RSA cryptosystem is supposed to be the first realization of a public key cryptosystem.Its (computational) security is relied upon the difficulty of factorization.In order to break the RSA cryptosystem it is enough to factorize N where N is the product of two large prime numbers, p and q. This public key algorithm is based on number theory and has the drawback of requirement of large computational power during the generation of key and its complexity. In this paper Neural Networks are trained in order to encrypt and decrypt the data and then a comparative analysis is performed on the basis of number of layers, number of neurons in each layer, learning algorithm and number of samples. The learning process is done by NN tool in MATLAB to get efficient weights which helps in evaluating the performance.
Generating dataset for object recognition from virtual world

Recent success in object recognition has been driven by deep convolution neural networks trained on large datasets. However, the construction of large datasets was extremely costly due to large amount of manpower required, and it is impossible to obtain real images to construct large datasets in some scenes. In this paper we present two approaches to generating synthetic images instead of real images to build datasets for object recognition, which requires little manpower in labeling and generating images. What is more, we studied the impact of factors in the dataset construction process on the quality of the dataset and compared two ways of generating datasets with testing in the real world. Our experiments evidence that the methods of constructing synthetic datasets can solve the object recognition problem to a certain extent, and we give the appropriate factors settings in the process of building synthetic datasets.
The Applicability of AIS Practices within Modern Business Environment – Case Study of Amman Stock Exchange

Current study aimed at examining the applicability of Accounting Information Systems within modern business environment in Amman stock exchange between the variables of Software (Industrial application structure, Business application structure, Cloud computing structure) and Hardware (Stand-alone structure design, Multi-user structure design, Network structure design, Cloud computing structure design). In order to be able to highlight extent of applicability researcher has chosen quantitative approach through applying the study tool (questionnaire) on accounting managers within (102) companies in Amman Stock Exchange. After application process total of (65) accounting managers responded to questionnaire with a response rate of 63.72% which was statistically acceptable. Results of study indicated a high level of applicability of AIS within Amman Stock Exchange companies attributed to high awareness of accounting managers regarding AIS. In addition to that, it appeared through the analysis that the applicability degree is more influenced by software equipment more than the hardware which explains that high awareness of individuals.&amp;nbsp; In light of such results; study recommends companies in Amman stock exchange should continue embracing AISs in their business practices to increase their speed of processing tasks, use data entered into the system to compile reports, and make correction easily where necessary.
Native vs Non-Native English Speaking Teachers : An Analysis of Business Schools in the Tertiary Education Sector

The study examines how Business Schools at universities in Korea can motivate Korean, English as a foreign language (EFL) learners in business courses under the policy of English-medium instruction (EMI).This research focuses on the role of non-native English speaking teachers (NNESTs) and native English speaking teachers (NESTs) in an EFL environment.To conduct the experiment, EFL learners' motivation changes and qualitative interviews are collected; the NNEST class (n = 19), and NEST class (n = 18).The results of the motivation survey showed that at the beginning of the semester, the NNEST class learners displayed a lower level of confidence and intrinsic motivation than that of NEST class learners.However, by the end of the semester, while the intrinsic motivation levels remained the same, the NNEST class showed a higher level of confidence, interest, and extrinsic motivation than that of NEST class.Qualitative interviews were also done after the semester ended.The results of the interviews showed that motivation changes had no direct effect on classroom satisfaction in EFL contexts as learners understood the differences between NNESTs and NESTs, and their expectations in class of these two teachers were clearly different.Based on the findings, the paper also provides some policy advice to universities so as to help increase Korean EFL learners' motivation and class satisfaction under the English-medium instruction policy.
Normalisasi Selokan Buangan Air Sawah, Air Hujan, dan Drainase Perumahan

Wild flow of water below the surface of the land toward the road and the foundation of houses, road damage due to land subsidence, damage to the houses foundations, mosquito larvae lodged due to standing water, and the emergence of foul odors as a problem faced. The purpose of service is to help the community to expedite the flow of water from the rice-fields, rain and household waste, drain the gutter as a source of disease (dengue fever) through the gutter, restore the flow of wild water into the gutter, and maintain a healthy hygiene environment. The method applied was consultation with residents to determine the construction design of the channel, dismantling the broken gutters and there was a wild flow of water to the street/house yard, casting with a high-strength concrete until strength enough, repairing the cracked gutter walls with cement paste, and submitting the results of normalization to the Chairman of the local Neighborhoods Association/RT. Normalization results in the form of clean gutters, rice-fields-rain-discharged water from houses flowing through the gutters smoothly without leaking and no puddles, there is a synergy between State Polytechnic of Malang and the community in obtaining a smooth flow of water from rice-fields/rain/discharged houses into the house sewer in RW 06 Tasikmadu-Lowokwaru-Malang which implies awareness of citizens of a clean, healthy and orderly environment. Conclusions of the results of normalization as a flow of water from various origins through a structured sewer smooth water flow, prevention of disease, and providing beauty environmental.
Generalized rb Sets for Real and Imaginary Domains

This paper dealts with the Regular b-open sets in topological spaces and we extend the same for the real domain and inverse regular b-open sets for the complex domain.
Mining EZProxy Data: User Demographics and Electronic Resources

After a mandate to utilize data to demonstrate impact on student success, Virginia Tech University Libraries began diving into previously untapped data sources.Given that the collections budget makes up 48% of the total library budget, roughly 90% of which streams to electronic resources, it was deemed necessary to make more direct connections between electronic resource usage and student success.Usual practices prior to the charge involved analyzing usage from Counter reports and cost data, such as frequency and cost per use, primarily for the purposes of serials budgeting and negotiations.Due to these past data collection analysis practices, university libraries could only create basic inferences about its electronic resource users.In order to create more robust user inferences, the university libraries turned to EZproxy logs as well as university-collected student data and began a multiphase research project based on the connection between the two data streams.The long-range purpose of the research project is to create better understanding of student user demographics by connecting electronic resource usage information with university-held student demographic information.Ultimately, plans include impact measurement of the university libraries on Virginia Tech's overall success and constitutes the start of a broader systematic study of the impact of university libraries' dollars spent on electronic resources.Development of this study includes research into encryption and anonymization techniques, as well as current best practices in security of personal information.Discussion will include challenges, including on-and off-campus usage access and meeting resistance to utilizing personally identifiable data.The discussion will also include tools utilized in the study, which include EZproxy, Graylog, Python, and Tableau.
Pengujian Association Clasification Dalam Meningkatkan Kualitas Minyak Sawit Sebagai Bahan Dasar Biodisel

The role of oil and gas business in Indonesia has always influenced the source of revenue from the country and energy sources for the national economy. In the 1970 's to the 1990 's and mid-1990 's, it was characterized by the high dependence of the national economy on oil and gas revenues, triggering massive oil and gas-producing. Currently, Indonesia is the largest palm oil producer and exporter in the world. Palm oil is one of the roads to overcome the problem of petroleum in Indonesia. To commercialize plants is still constrained because the availability of low raw material costs very hard to get. The amalgamation of crude palm oil and crude palm sludge is one of the problems of raw materials for renewable energy production. This low-level oil has great potential as a raw material for biodiesel production. To get the maximum quality mixing required a computer method. The method used in this study is analysis study with the Association classification approach by testing Improved Apriori algorithm in mining palm oil dataset. In this research using Data Mining application so that can be used to display the information of quality improvement of palm oil acid with high quality as a biodiesel base where the information is seen from the value of support and Confidence between items. M-Apriori algorithm can not read the continous data, so it must be done transformation first, one of them using the help of discreetization technique. Crude palm oil acid type esteridication which is fatty acid levels &gt; 60 and Abu bunches 51-100 g/mol then the quality of biodiesel with the result of rising methyl Ester increases by as much as 100% (confidence: 1). From data that is calculated manually, no relationship is found Association.
Penentuan Jarak Terpendek Pada Jalur Pengiriman Musae Chips Dengan Menggunakan Algoritma Genetika

Combination of good path distribution by land can optimize travel time and costs. However, not all of these path distribution combinations will provide the best solution. The study was conducted to determine the distribution of goods so that the best solution is achieved. To simplify the process of determining the goods distribution channel, it is supported by software development. Genetic algorithms that have reliability in producing optimal solutions can be used to solve this problem. The application of the genetic algorithm method is applied in software. In the software that is built, there are several inputs needed, namely: cities destination distribution as the initial chromosome number, number of generations, crossover probability and probability of mutation. The result of processing is a combination of goods distribution lines to be taken which represent the solution to this problem. Only the best chromosomes will be given as a result. Through the software that was built, the determination of goods distribution lines is expected to be better and can optimize the time and cost of travel. Based on the research, 5 road combinations are used as chip distribution routes used for testing. This study results from the first fitness gene get the highest fitness 7.4, fitness lowest 5.6 and the second gene get the highest fitness 9.3, fitness lowest 5.6.
Multiword Terms and Machine Translation

In this article we discuss, using morphological analysis and foreign equivalent selection, the following issues: the definition of syntax and the logical-semantic structure of terms using morphological analysis and foreign equivalent selection.Texts of articles in the "Voprosy Psichologii" (Psychological Problems) journal were used as the source corpus.Statistics of multiword terms in this corpus were calculated as well as the pointwise mutual information (PMI) between terms.We defined the distance between multiword terms in a multidimensional space, and the measure of terms proximity, as the minimal semantic distance between them.Then, we performed multidimensional scaling for visualising the terms space.Machine translation was used as a means to finding equivalents of scientific and technical terms in two arbitrary languages.With the help of forward and reverse translation of terms, using online machine translation tools, the meaningful equivalents were evaluated.We measured the proximity between terms as the Levenshtein distance between the original term and its direct and reverse translation, and tried to minimise this measure.
Multimedia Learning: An Activity Based Computer to Develop Reading Comprehension

Abstract&#x0D; &#x0D; The aimed of the study was to find out the effectively of multimedia learning as an activity based computer to develop reading comprehension. The students’ comprehension development is crucial to help students to be success in following development of science and technology, since most of the scientific works are released in English. This research used experimental design with pre-test and posttest one design. There were 47 students as a participants. The pre-test was done to test the sample similarity and the initial level of student’s reading comprehension. The movies given during the intervention session. Then the evaluation and post-test were done to find out the student’s reading comprehension development. Hypothesis was tested using t-test. The result indicated that multimedia learning as an activity based computer was effective to develop student’s reading comprehension. &#x0D; &#x0D; Keywords: Multimedia, Computer, Reading Comprehension, CALL, EFL learner
MINING OF CLUSTERING ALGORITHM IN THE FIELD OF HOT SPOT EVENTS IN SPORTS CULTURE

In order to explore the application of clustering algorithm in the sports culture with focus on public opinion, based on the analysis of experimental results data from artificial corpus and web crawler corpus, more reasonable parameters were determined for clustering, and the artificial test result of the execution of the algorithm is also checked.The results show that the CEW algorithm can achieve good results in mining the core keywords of online hot events.It also proves that the clustering algorithm performs well in accuracy rate, but it needs to improve in its recall rate.