Reviewerly/exHarmony huggingface dataset:
User’s guide for Assessment Tract Aggregation GUI (ATA GUI)—A graphical user interface for the AggtEx.fn R script

First posted February 19, 2019 For additional information, contact: Eastern Mineral and Environmental Resources Science CenterU.S. Geological Survey12201 Sunrise Valley Drive954 Mail Stop Reston, VA 20192 The U.S. Geological Survey three-part method for mineral resource assessments estimates numbers of undiscovered mineral deposits as probability distributions in geologically defined regions termed “permissive tracts.” This report describes a graphical user interface (GUI) script developed in open-source statistical software (R) that aggregates estimated undiscovered deposits of a given type from two or more permissive tracts using the AggtEx.fn R script. The AggtEx.fn R script aggregates undiscovered deposit estimates assuming independence, total dependence, or some degree of correlation among aggregated areas, given a user-specified correlation matrix. The script outputs three sets of aggregated estimates based on those three assumptions.The GUI script described in this report, Assessment Tract Aggregation GUI (ATA GUI), provides an easy-to-use tool that supports implementation of the AggtEx.fn R script, installation of the R packages needed to run the application, and creation of a combined input file from individual files generated by the MapMark4GUI software. Users can also use EMINERS output information by creating a file of output values following the MapMark4GUI output file format. The probabilistic estimates of aggregated undiscovered deposits produced by ATA GUI can be used as input for MapMark4GUI to estimate contained resources for the aggregated tracts. MapMark4GUI uses Monte Carlo simulation to combine undiscovered deposit estimates with tonnage and grade models to simulate undiscovered mineral resources for a region of interest. This simulation includes the amounts of commodities and rock that could be present within a permissive tract. This report includes instructions on installing and running the ATA GUI script and describes the input and output files used and created during the aggregation process.
ОСВІТНІЙ БЛОГ ЯК ЗАСІБ ПРОФЕСІЙНОЇ ПІДГОТОВКИ МАЙБУТНІХ ВИХОВАТЕЛІВ ЗАКЛАДІВ ДОШКІЛЬНОЇ ОСВІТИ

The article is devoted to the actual topic of modern higher education – the professional training of future preschool teachers by means of electronic educational resources, among which the educational blog is gaining popularity. The authors have considered the definition «blog»; the functions the blog performs as well as the definition «educational blog» are given. The most widly used characteristics of educational blogs are defined as: periodicity, authorship, thematic orientation, the presence of multimedia, content features, technical basis, type of device. Besides the authors analyzed preschool teachers’ existing blogs which are posted on the blogspot.com platform. The experience of creating and using foreign educational blogs is considered, in particular, fragments of foreign educational blogs of preschool and primary teachers are presented. The typical mistakes that may occur when creating an educational blog are highlighted (without title, anonymity, great number of pages, too long text, grammatical and syntax mistakes, long page loading, bad design, excess animation, without plan, social networks ignoring). Examples of successfully completed preschool teachers’ blogs are presented. The advantages of using educational blogs in the training of future preschool teachers are considered. There are analyzed the results of questionnaires of students and teachers of preschool establishments (educators, methodologists, heads). The structure and content of the educational blog «Professional training of future educators» are described (pages of the main menu, cross-column pages). It is determined that the use of the educational blog «Professional training of future educators», the creation of students' own blogs, their content and support will help to prepare future preschool teachers for their professional activity (cognitive, communicative, informative, methodical).
AN ANALYSIS OF TASK SCHEDULING ALGORITHM IN CLOUD ENVIRONMENT

Cloud Computing has become a well-liked computing paradigm that has gained huge attention in delivering o Task scheduling in cloud computing is a crucial issue that has been well researched and lots of algorithms are developed for identical.However, the goal of most of those algorithms is to attenuate the general completion time (i.e., makespan) while not trying into step price of the service (referred as budget).Moreover, several of them are of Task scheduling algorithms has been mentioned and compared on the premise of assorted planning p throughput, makespan, resource utilization, quality of service, energy consumption, interval and value.
Using implicitly and explicitly rated online customer reviews to build opinionated Arabic lexicons

Creating an opinionated lexicon is an important step towards a reliable social media analysis system. In this article we are proposing an approach and describing an experiment to build an Arabic polarised lexical database from analysing online implicitly and explicitly rated customer reviews. These reviews are written in modern standard Arabic and Palestinian/Jordanian dialect. Therefore, the produced lexicon contains casual slangs and dialectic entries used by the online community, which is useful for sentiment analysis of informal social media micro-blogs. We have extracted 28,000 entries from processing 15,100 reviews and by expanding the initial lexicon through Google translate. We calculated an implicit rating for every review driven by its text to address the problem of ambiguous opinions of certain online posts, where the text of the review does not match the given rating (the explicit rating). Each entry was given a polarity tag and a confidence score. High confidence scores have increased the precision of the polarisation process. Explicit rating has increased the coverage and confidence of polarity.
A Study on the Development of Information-based Teaching Ability of Rural Primary English Teachers in Leshan City

In the modern society and the information era, information-based teaching ability is a must for primary school English teachers. Thanks to the wide use of information technology in schools, the education system has witnessed big changes in the past few years, which poses new challenges to primary school English teachers. But in western rural areas in China, most primary school English teachers are poorly-trained in terms of information-based teaching. The study takes rural primary school English teachers in Leshan City, Sichuan, China as the research object, taking advantage of approaches like questionnaire survey and interviews, etc. Based on the analysis of the status quo and the influence factors of information-based teaching ability of rural primary school English teachers, the study aims to put forward strategies in order to improve the development of information-based teaching ability of the rural primary school English teachers.
Proposing a Customised Method for Extratextual Documentative Annotation on Written Text Corpus

In this paper, we have made an attempt to portray a perceivable sketch of extratextual documentative annotation which, in the present frame of text annotation, is considered as one of the indispensable processes through which we can add representational information to the texts included in a written corpus. This becomes more important when a corpus is made with a large number of texts obtained from different genres and text types. To develop a workable frame for extratextual annotation, at each stage, we have broadly classified the existing processes of corpus annotation into two broad types. Moreover, we have tried to explain different layers that are embedded with extratextual annotation of texts as well as marked out the applications which can substantially enhance the accessibility of language data from a corpus for the works of text file management, information retrieval, lexical items extraction, and language processing. The techniques that we have proposed and described in this paper are unique in the sense that these are highly useful for expanding the utility of data of a written text corpus beyond the immediate horizons of language processing to the realms of theoretical, descriptive, and applied linguistics. In this paper, we have also argued that we should try to annotate all kinds of written text corpora so far developed in different natural languages at the extratextual level in a uniform manner so that the text samples stored in corpora can be uniformly used for various works of descriptive linguistics, theoretical linguistics, language technology, and applied linguistics including grammar writing, dictionary compilation, and language teaching. The annotation scheme proposed here is applied on a sample Bangla text corpus and we have noted that the accessibility of data and information from this kind of corpus is far easier than that of an un-annotated raw corpus.
Toward semantic similarity measure between concepts in an ontology

&lt;p&gt;A similarity measure is one classical problem in Description Logic which aims at identifying the similarity between concepts in an ontology. Finding a hierarchy distance among concepts in an ontology is one popular technique. However, one major drawback of such a technique is that it usually ignores a concept definition analysis. This work introduces a new method for similarity measure. The proposed system semantically analyzes structures of two concept descriptions and then computes the similarity score based on the number of shared features. The efficiency of the proposed algorithm is measured by means of the satisfaction of desirable properties and intensive experiments on the Snomed ct ontology.&lt;/p&gt;
A CAST Analysis of an Accident of Software Project

We report a CAST analysis of a software project by a team across the primary and subcontractor companies focusing on a kind of safety, psychological safety. By using CAST, we can understand the context of the behaviours leading to the unintended event and avoid personal blames to keep psychological safety. The project was a software maintenance project, in which an online trading system went down in the production migration, the final phase before the system release. The end users had no damages in this case, but some members were going to lose respects from other members and stakeholders. The system down was caused by a defect, and the first investigation report simply blamed the subcontractor members related to the defect injection and leakage. The senior manager, who cares to build and maintain psychological safety in the team, wanted to conduct a deeper analysis to avoid personal blames. The CAST helped to uncover that process changes over time from the originally defined one contributed the injection and leakage of the defect. It turned out the process owner and manager at the primary contractor side had a part of the responsibility for the defect leakage. The senior manager made this conclusion shared among team members and succeeded to avoid losing psychological safety. We conclude the CAST based on STAMP is useful in analyzing issues of software project management such as psychological safety.
The Role of the International Monetary Fund and the World Bank in Supporting Public Sector Reform in the Western

The International Monetary Fund, although the main focus has the financial and technical support in the monetary sectors and trade balance for member countries, it has long provided advice and technical assistance to promote good governance, such as promoting transparency of public sector and accountability. Also, the World Bank leverages lending instruments, helps and supports the member countries in need to carry out public reforms. Given the fact that the penitentiary Balkan countries started transition reforms from multiparty to multi-party systems in the 1990s, the role of international financial institutions was important in the field of structural reforms of these countries.The purpose of the paper is to examine and analyze the World Bank's lending and financial support instruments dedicated to public sector reform in Kosovo, Macedonia and Albania, in the period of membership in these institutions, using the analysis and comparative method until 2016. The research focuses on the lending and technical assistance provided by these institutions in the area of ​​financial management, revenue management, transparency, administrative and civil services and institutional capacity building. Keywords: International Monetary Fund, World Bank, lending, public sector, technical assistance DOI : 10.7176/JESD/10-4-13
The Construction of Ecosystem for Cultivating Automobile Innovative Talents Based on the Development Process of Racing Car Products

Focusing on the cultivation of students' engineering innovation ability, the paper puts forward the talent cultivation concept based on the development process of FSAE racing products, a step-type engineering ability cultivation system has been constructed based on the development process of FSAE racing products; with the construction of characteristic practice platform as the starting point, the innovation ability training system has been established corresponding to grade and progressive; Aiming at cultivating the ability to solve complex engineering problems, the independent learning and autonomous management mechanism has been established, a good automobile innovative talent cultivation ecosystem has been constructed, the education regression of "practical education" project and the experimental demonstration and promotion of the ecosystem model have been realized.
SISTEM PENGELOLAAN SEBARAN DATA PRODUK DAN KLIEN DENGAN IMPLEMENTASI PETA ONLINE

The research design of software aims to help managing data products and data clients in PT .Ussi Bandung - West Java. This research is the impact of the advance of technology resulting in some works to handle or it is assisted by the technology. Moreover by the computer, it improves efficiency and quality in work. By the use of computer, people will be easy in finishing the job in various fields for example the management of product data and client that use web based application recording product and client. In practice, computer technology could save the data quickly and correctly and also it displays the data in detail and more informative. �As a result, all information clients will be recorded optimally and more informative. This research is also expected to provide information about all matters relating to clients products or starting development products, the implementation of products , launching products , etc.�Keywords : A computer system , products clients , recording the data
The Mediating Effect of Communication Competence on the Relationship between the Transformational Leadership and Employees` Job Satisfaction in Syrian Private Universities

Previous studies have documented the importance of the transformational leadership and communication competence of the leaders and their relationship with employees` job satisfaction.However, there was a lack of leader insight regarding this relationship in the context of higher education in Syria and very few literatures had discussed the issues.The purpose of this study was to examine the mediating role of communication competence on the relationship between transformational leadership and the job satisfaction of the employees in Syrian private universities.The quantitative method was used in data collection.A random sampling technique was conducted which comprised of 247 faculty members and staff from seven private universities in Syria.A total of three different sets of instruments were used, namely Multifactor leadership (MLQ), Communicative Competence Scale (CCS) and the Minnesota Satisfaction Questionnaire (MSQ).PLS-SEM technique was used to analyze the direct and indirect relationships between the variables in this study.The results of the study indicated that there was a significant relationship between transformational leadership and communication competence.The results show that there was a significant relationship between transformational leadership and job satisfaction.Findings had revealed that the indirect effect of transformational leadership on job satisfaction through communication competence.
A Generic Architecture to Detect Vulnerability Leaks at Crowdsourced Tests

Nowadays, there is a fundamental imbalance between attackers and defenders. Crowdsourced tests level the playing field. However, the concern about vulnerability leaks severely limits the widespread of crowdsourced tests. Existing crowdsourced test platforms have adopt various technical or management approaches to protect applications or systems under test, but none of them is able to remove the concerns about vulnerability leaks. This paper provides a generic architecture to discover the white hat who finds a vulnerability but conceals it. The architecture is not only valid for public vulnerabilities, but also valid for unknown vulnerabilities. Finally, the proposed architecture is tested by real vulnerabilities. The results show that, with proper rules, most of the concealing behaviors can be detected.
The Ethics and the Practical Reasoning: About Common Sense and Programming

This paper discusses the issue of practical reasoning, considering it as a field of study shared among three areas: ethics, common sense and programming languages. It questions the exclusive connection of practical reasoning to the area of ethics, and seeks to show through analysis of examples that other areas of common sense and programming languages also have important elements that characterize practical reasoning. We conclude that practical reasoning cannot be assumed solely from ethics, but it should open a research through the plurality of philosophical discussion.
Database Repeat Record Detection based on Improved Quantum Particle Swarm Optimization Algorithm

The detection of similar duplicate records was a key link in database data cleaning.In the process of detecting duplicate records in the same amount of data, the record attribute dimension was too high, which led to the problems of precision, recall and time efficiency.A database repeat recording detection method based on the IQPSO (Improved Quantum Particle Swarm Optimization) algorithm was proposed.The method constructed an entropy metric in terms of the similarity between objects, and evaluated the importance of each attribute in the original data set of the database, thereby removing unimportant or noise attributes.A subset of key attributes was preferred and attribute dimensions were reduced.Large data sets were divided, in the database, into multiple disjoint small data sets based on key attributes.Each small data set was used as an input to the support vector machine.The IQPSO algorithm was used to optimize the parameters of the support vector machine to obtain the optimal parameters of the support vector machine.The repeated record detection model was constructed according to the optimal parameter training classifier, and the model was used to perform similar repeated record detection.The experimental results indicated that the proposed method effectively improved the detection efficiency under the premise of ensuring the highest recall rate and precision.The proposed method also solved the problem of database similar duplicate record detection effectively.
THE CORRELATION BETWEEN STUDENTS’ LEARNING STRATEGY AND STUDENTS’ ENGLISH ACHIEVEMENT TO THE EIGHTH GRADE STUDENTS OF SMPN H. WUKIRSARI

This study tried to investigate the correlation between students’ learning strategy and students’ English achievement to the eighth-grade students of SMPN H. Wukirsari. There were two problems which discussed in this study. First was there any correlation between students’ learning strategy and students’ English achievement to the eighth-grade students of SMPN H. Wukirsari? Second, what was the percentage of Students’ Learning Strategy? The objectives of this study were to find out the percentages of students’ learning strategy and to find out the correlation between students’ learning strategy and students’ English achievement to the eighth-grade students of SMPN H. Wukirsai. The method used in this study was correlation research. The population of this study was all of the eighth-grade students of SMPN H. Wukirsari in the academic year 2015/2016. The total number of population was 182 students which were distributed into six classes. There were 28 students treated as the sample of the study. The sample was taken through random sampling. In collecting the data of students’ learning strategy, the writer used questionnaire by strategy inventory for language learning and in collecting the data of students’ English achievement, the writer used students’ report score. Then, the technique for analyzing the data, the writer used Spearman Rank Correlation to find out the correlation between students’ learning strategy and students’ English achievement. Based on the findings, the result of the calculation correlation between students’ learning strategy and students’ English achievement was 0.542, whereas the coefficient of correlation was 0.318 (obtained &gt; table ). So the alternative hypothesis (Ha) was accepted and the null hypothesis (Ho) was rejected, it means that there was a correlation between students’ learning strategy and students’ English achievement to the eighth-grade students of SMPN H. Wuirsari in the academic year of 2015/2016. Finally, the aim of this article was to clarify on students’ learning strategy and students’ English achievement.
SparseBNN

To reduce power-hungry floating point operations and memory accesses in deep neural networks, quantized neural networks are proposed that replace floating point multiplications with simplified reduced-precision operations. To compensate for the accuracy loss due to the high degree of quantization, wider neural network layers with three or more times as many feature maps are employed. One by-product from these inflated layers is increased redundancy in the network. To further improve computational efficiency and leverage this inherent redundancy, we propose a joint optimization approach that simultaneously explores hardware-oriented training and efficient accelerator implementation of binary neural networks (BNN) in FPGAs. More specifically, our SparseBNN method consists of two parts. First, SparseBNN-SW is a training algorithm developed to enhance the structured sparsity of BNNs by 1) training for zero-valued ternary weights instead of binary that are more amenable to pruning and 2) regulating the sparsity for more efficient hardware deployment. Next, we present SparseBNN-HW, an accelerator architecture designed to directly execute the inference on the sparse-encoded format to save both memory access and computations. Experimental results on various representative datasets demonstrate that SparseBNN improves the power efficiency (GOPS/Watt) and resource efficiency (GOPS/kLUT) over the baseline BNN FPGA implementation by 1.70X and 2.22X.
Research on the Influence of Micro-course Teaching on College Badminton Teaching and Its Application Strategy

With the wide application of micro-courses in teaching, the impact of badminton micro-courses on badminton teaching has become more and more important, which has become the main driving force for modern students to improve their interest in learning and improve their teaching quality. Studying the influence of micro-courses on badminton teaching, and researching the badminton teaching mode of colleges and universities, although the badminton teaching method has improved, it still continues the traditional teaching concept, not only less progress in teaching ideas, but also lack of teaching methods. Innovative is not conducive to improving the efficiency of badminton teaching in sports colleges and specifically improving the teaching efficiency of badminton.