Reviewerly/exHarmony huggingface dataset:
The Impact of Supercategory Inclusion on Semantic Classifier Performance

It is a known phenomenon that text document classifiers may benefit from inclusion of hypernyms of the terms in the document. However, this inclusion may be a mixed blessing because it may fuzzify the boundaries between document classes [5, 6, 10]. We have elaborated a new type of document classifiers, so called semantic classifiers, trained not on the original data but rather on the categories assigned to the document by our semantic categorizer [1, 4], that require significantly smaller corpus of training data and outperforms traditional classifiers used in the domain. With this research we want to clarify what is the advantage/disadvantage of using supercategories of the assigned categories (an analogon of hypernyms) on the quality of classification. In particular we concluded that supercategories should be added with restricted weight, for otherwise they may deteriorate the classification performance. We found also that our technique of aggregating the categories counteracts the fuzzifying of class boundaries.
Analysis, Application and Research of the Index of Urban Resumption of Work and Production Based on Energy Big Data

At present, the energy enterprises have realized the improvement of energy management by using their own energy data acquisition, analysis and application system, but there is information island phenomenon among the systems. With the diversification of enterprise energy consumption, the fusion analysis of various energy data becomes more and more important. The analysis only based on power data cannot provide comprehensive and accurate decision-making basis for the government and energy enterprises. In this paper, the energy big data center collects and fuses the data of electricity, water, gas and heat by using the index system analysis model of urban work and production resumption of work and production, analyzing and comparing the overall situation in Hefei with different regions and different industries in previous years, so as to effectively supports the scientific formulation of government policies.
ESTUDO DE CASO: A DEMANDA POR SOFT SKILLS E HARD SKILLS NO ENGENHEIRO DE PETRÓLEO PELO MERCADO DE TRABALHO DA INDÚSTRIA 4.0

In the panorama of Industry 4.0 the phenomenon of digital transformation comes on the scene, reshaping the industry and the professional profile demanded by the companies.The text ranks for main analysis the oil & gas engineer, studying the relevance of soft and hard skills in the the current labor market.This way, the following are discussed: the agents responsible for promoting those skills, the opportunities offered by the Universidade Federal Fluminense that allow such promotion, and the results of a study of case about the qualification of petroleum engineering students and professionals.
ABOUT THE INTEGRATION OF EDUCATIONAL SUBJECTS IN THE SYSTEM OF HIGHER PROFESSIONAL EDUCATION

The paper deals with the integration of academic subjects in the system of higher professional education.
Application Development in Web Mapping 1.

In AWD Module 1 an overview is given about the client/server architecture of Web, some highlighted technologies and the OGC standards.
Library Research Guides: Journalism, advertising, PR and communication: Journals & articles

This guide will assist you to find information and library resources for journalism, advertising, public relations and communication studies, and provide research and referencing tips.
Real Estate Appraisal Using Image Analysis

This thesis aims to investigate how machine learning can be utilized to appraise the monetary value of residential real estate. The hope is to shorten the time from property acquisition to an initi ...
Intelligent Cooperative System for Traffic Monitoring in Smart Cities.

Smart cities introduce the strategies of solving the problems faced by the current cities; such as traffic jams, resource management, and climate change. Traffic flow monitoring is considered as one of the major challenges to be solved. Cooperative systems introduced a suitable solution for sharing information between the road elements, which provides a helpful tool for monitoring the traffic. However, most of the solutions are based on the sensors or cameras mounted in fixed locations, which have a limited range of vision and produce blind areas. In order to deal with the problem, this paper presents a cooperative system based on using Unmanned Aerial Vehicles (UAVs); to monitor the traffic flow. This system proposed a lightweight semantic neural network; that takes the RGB images as input and generates a segmented image of the vehicles and its 2D real-world positions. This data then is sent to each vehicle; to have full information about its surroundings. The proposed method has been validated with several experiments of different scenarios and situations, and the obtained results show its robustness and efficiency of the system, illustrating its functionality in traffic monitoring purposes.
DESIGNING ENGLISH SYLLABUS FOR KINDERGARTEN AT TK NISRINA BEKASI

The current trends show that the teaching of English is not only conducted in elementary schools but also in kindergartens. The research was initiated by the fact that English has been included as a program in kindergarten. However, that program is not supported by the availability of qualified teachers and English syllabus.This study is focused on developing English syllabus for Kindergarten in TK Nisrina Bekasi. It tries to answer the research problem about how to develop English syllabus which covers the learning objectives which meet the students' needs, the materials which provide successful achievement, and the teaching methods which guide teachers how the materials are to be taught, and the evaluation which assesses how far the learning objectives are reached. This is a Research and Development study conducted in two activities; needs analysis, and syllabus development based on the information from needs aanalysis. The syllabus is developed based on the curriculum which is made after carrying out the need analysis. The draft of the syllabus was evaluated by two experts and the feedbacks were used to revise the draft. Field try-out was conducted to get feedbacks used to revise the draft. The final revision is the Final Product. The instruments used to collect the data were questionnaires, observation, and interview.The results of needs analysis showed that the teachers got confused to formulate learning objectives. They also had difficulties to find the materials for several themes and sub-themes and they only applied a few teaching techniques and very limited media. This occurs because there is no curriculum for teaching English in kindergarten. Therefore, from the data, the first draft of syllabus was made. Then it was revised after obtaining the feedback from the experts.
Application of Deep Learning Algorithm in Generator Fault Prediction

Recent rapid development of information and communication technology boosts the advance of distributed management and control system, especially for power system. Massive data and information have been accumulated, however, the meaningful fault information hidden in these data is not fully utilized, as the existing fault detection technologies are usually based on monitoring and diagnosis rather than prediction. In this paper, we introduce the deep learning algorithm into the fault prediction of generators in power system, and explore the validity and feasibility of generator operation data in fault prediction application. Our method includes two parts, the first is a Partial Least Square (PLS)-based pre-process module which is used to reduce the feature dimension, the second is a deep linear regression model which is dedicated to regressing the generator operation data and predicting the fault behavior of generators. Experimental results demonstrate the effectiveness of our method.
Literatur Review Metode Evaluasi Kualitas Usability Website

Website is a collection of online documents containing Web pages that are moored in a domain as a unique name. It can be accessed via the Internet so that existing information can be displayed and accessed by Web visitors. Web visitors tends to need websites with user interface which is easy to use, to interact (usability), or communicate in sharing information. There are basically some benchmarks that can be used to measure website usability, including (1) Learnability, easiness to learn; (2) Efficiency, user speed level; (3) memorability, easiness to remember; (4) Error and safety, low fault rate; and (6) Satisfaction, satisfied user. Moreover, there are several methods of evaluation of the website in this research, such as: (1) Thinking Aloud Method, (2) User Perfomance test, (3) Remote Usability Test, (4) Cooperative Evaluation, (5) Expert Review, (6) Heuristic Evaluation, (7) Cognitive Walkthrough, (8) Plurastic Walkthrough, (9) Field Observation, and (10) Interview and Focus group. In addition, the selection of a questionnaire or sampling deployment method and designing interface method may also affect the outcome of the evaluation of the website.
Subjectivities, Diversity, and Interculturality in the Mexican and Colombian Education System

health, and economic crises pose significant challenges for students, teachers, and governments.This qualitative research describes the education gap in Latin America, its social tensions, and disparities.Furthermore, it explains theoretical concepts such as subjectivities, subjectivation, governmentality, technologies of power, technologies of the self, ethics, normalization, agency, and interculturality.These are some of the researcher's areas of expertise.It also presents the actions taken by Colombia and Mexico to guarantee access to education and digital devices, as well as high-quality contents, interactions, and tasks, during the deadly spread of the COVID-19 pandemic.The results show that education policies do not adequately address student diversity and do not ensure equity in education.The situation has magnified deep-rooted socioeconomic, racial, and educational injustices.The education system has been designed for homogeneous groups, middle and upper-class students, and individuals who are not related to minority groups.The majority of economically vulnerable students cannot access educational resources, have dropped out of school, have experienced interruptions in the learning process, and have developed psychological disorders.Neither teachers nor students have the opportunity to participate in public policy design, hindering the possibility of exercising their "agency" and socializing contributions that could lead to large-scale social transformations in their countries beyond their schools' borders.The article reveals the voices of students, teachers, and parents.Additionally, it proposes approaches and strategies that teachers, students, and governments should apply to promote diversity, critical thinking skills, and interculturality.These elements contribute to the accomplishment of social justice, equity, and authentic democratic processes.Indeed, education should assist the students in acquiring solid foundations to use their "technologies of the self," value diversity, decide, and do not let hegemonies control them through "normalization."Finally, it suggests questions that teachers should reflect on to be creative in their teaching practice, innovate and widen their students' learning and motivational possibilities.
특허기반 LOF를 활용한 기술혁신의 Weak Signal 탐색: 자율주행차를 중심으로

Purpose Identifying and analyzing potential innovative technologies becomes an imperative task. Especially, finding technology which is currently not dominant but has chance to be innovative in the future, which is called weak signal, is critically important. In response, this study suggests a framework and method to identify weak signal, considering both technological and market aspects.Methods Firstly, this study defines the characteristic of weak signals. Next, technology and market database is prepared to check technological novelty and market capability. Third, Local Outlier Factor(LOF) is used to identify technology novelty for technological document. When weak signals are identified, market capabilities are checked based on the market documents.Results Technologies related with autonomous driving technology, autonomous shared car service, and autonomous delivery service using GPS and various sensors are identified as weak signals for promising technologies. Medical technologies are also identified as important signals for future trends of self-driving cars.Conclusion This study is expected to provide significant implications to the innovation practice in term of providing the framework and method for identifying promising technologies.
JARINGAN SYARAF TIRUAN MEMPREDIKSI KEBUTUHAN OBAT-OBATAN MENGGUNAKAN METODE BACKPROPAGATION

Health development is directed at increasing awareness, willingness and ability to live for everyone so that the highest public health status can be realized. In the current era of regional autonomy where health development is the responsibility of the regional government, the regions must be able to regulate themselves, one of which is in fulfilling their drug needs. To fulfill the need for medicine, good processing and planning are needed. One of the facilities or facilities needed for optimal health services to the community is the need for support in the form of drug availability for basic health services to suit their needs. Backpropagation is a multilayer Artificial Neural Network training because the backpropagation method has three layers in the training process, namely the input layer, hidden layer and output layer, where backpropagation is the development of a single layer network (Single Screen Network) which has two layers, namely the input layer and output layer. The drug data used were 2010 to 2019. With a maximum epoch of 0-10000, learning rate 0.1 and target errors ranging from 0.01 to 0.003 to produce convergent results. The results of the prediction of the number of drugs after carrying out the training process and testing have increased and decreased.
Need Analysis for Developing Instructional Speaking Materials for Muhammadiyah University Students

The objectives of this research were to find out the students’ need, and students’ want in developing instructional speaking material for Non English students. This research was very important to improve students’ speaking skill. This research conducted at Muhammadiyah university of Makassar. The approach employed in this research were descriptive qualitative.  Data collection of this research was conducted questionnaire, interview, and test. The data gathered were analyzed through quantitative and qualitative descriptive. The quantitative data are gain from questionnaire and students learning speaking outcomes. The qualitative data are from the questionnaire and interview of the needs analysis, the experts’ judgments; comments and opinions from the expert related to their assessments of the materials by using Liker-scale. The result findings of this research presented the students’ need with covers syllabus, lesson plan, and existing materials which need to be developedKeywords- Need analysis, speaking skill, developing speaking material.
Does Stock Market Development Promote Economic Growth in Botswana?

This paper examines the empirical linkage between stock market development and sustainable economic growth in Botswana. The paper employs AutoRegression Distributed lags (ARDL)-bounds testing approach and multi-dimensional stock market development proxies to examine this relationship. The paper finds that in the long run, stock market development has a minimal and negative impact on economic growth in Botswana. However, stock market development, especially, market capitalisation development has some short-term impact on economic growth. The paper, however, failed to any impact of stock value traded and the stock value turnover on economic growth. This finding supports the numerous past studies, which have reported negative or inconclusive results on the effects of stock market development on economic growth. The paper, therefore, concludes that there is the need for increasing financial deepening and the reform and diversification of the ownership structure of the capital markets by providing further public and institutional education on the value of stock markets for economic development
The Effect of the Use of Flipbook Culture Story Media on Reading Literations of Elementary School Students

This study aims to determine the effect of using the flipbook culture story media on the reading literacy of elementary school students.This research is quantitative research with a true experimental design that is a post-test only design.The population in this study were all grade 5 students of an elementary school in the Taman Madiun.Data collection techniques using observation, interviews, and tests.The results of data analysis showed that there was a difference in the post-test mean result of the experimental class 80,04 greater than the post-test mean of the control class 71,36.This is evidenced by the t-test obtained t count of 58,45 and t table of 1,71 with a significant level of 5%.Based on the results of the study, it can be concluded that there is a significant effect of using the flipbook culture story media on the reading literacy of elementary school students.
Creative Commons και η εφαρμογή τους σε αποθετήρια Ελληνικών βιβλιοθηκών

Today, the repository is an extension of digital libraries. A necessary component forthe proper use of the material contained in them is the clearing of copyright andaccess rules-policies. This work analyzes the CC (CC) repositories and licenses and theaccess forms. For the present study, and for the investigation of CC licenses, a researchwas designed by collecting questionnaires from employees in libraries of variousinstitutions in Greece, mainly academic libraries. From the research, we see that theuse of the repositories is mainly for educational and research purposes with the basiclicense CC BY-NC-ND and the degree of acceptance of CC licenses to be high.
AN EXPERIMENTAL STUDY OF AN ATTEMPT IN IMPROVING THE STUDENTS’ WRITING SKILLS

This study was designed at identifying the effect of Project-Based Learning implementation on the secondary students’ writing skills at the tenth grade of senior high school 21 Batam. The design of this research was running by quasi-experimental research non-equivalent control group design. The research variable consists of a control class as a dependent variable and the experiment class as an independent variable. To meet the purposes of the research, the researcher selected all the tenth grades students to be the participants of this research. Both of the classes first science class and second science class were the samples of this research. The data were collected through the running written test which consists of pre-test and post-test (in which the participants wrote the simple recount text). The analysis of data used a one-sample t-test with a significance level 5%. The statistic process showed that the t-test is bigger than the t-table. Means, the result of this study showed that the Project-Based Learning gave the effect toward the secondary students’ writing skill in simple recount text.
Expert System of Tuberculosis Diagnosis Using Web-Based Certainty Factor (CF) Method: Expert System of Tuberculosis Diagnosis Using Web-Based Certainty Factor (CF) Method

Tuberculosis is an infectious disease caused by the bacteria mycobacterium tuberculosis. In 2017 Indonesia entered into the third largest number of TB cases in the world. Lack of public knowledge of the dangers of tuberculosis makes this disease is growing rapidly. This is the main reason why it is necessary to create a system that can diagnose the early symptoms of the disease so that it can assist in tackling tuberculosis early. An expert system is one of the techniques in the diagnosis of disease. This research aims to develop applications early diagnosis of tuberculosis disease system is expected to facilitate the public in the early diagnosis of tuberculosis. The system uses the calculation of symptoms / complaints using CF (certainty factor). Results of testing performed by the system and test method validation black box shows that each feature can work with both the application and the content therein can be trusted. In addition, this system is quite powerful in handling more users are accessing the system simultaneously.
Sandwell to fund nearly 2,000 laptops for young children

Nearly 2,000 laptops will be provided by Sandwell Council for children ages five, six and seven.
PULSE: Scalable Sub-microsecond WDM-TDM Circuit Switched Data Center Network

We propose an OCS data center network and control system that uses distributed hardware schedulers to reconfigure circuits every 40ns. The network is scale-resilient to 8192 servers, achieving >92% sustained throughput, with low median (120ns) and tail (6.6 microsecond) latencies, while consuming 415 pJ/bit.
To Strengthen Students' Language Expression Ability in Modern Chinese Teaching

Modern Chinese is the key point of current education which not only provides students with rich language knowledge but also improves students’ comprehensive abilities. Language expression ability is an ultimate examination standard for the achievements of modern Chinese teaching. Good language expression ability requires not only knowledge of language theory, but also a comprehensive application ability such as the understanding ability and language organization ability. This article mainly discusses methods to strengthen students’language expression ability of modern Chinese, conducts a comprehensive analysis based on the current factors that affect students’language expression ability, and summarizes practical and effective measures to further improve the current status of modern Chinese teaching effect to gradually improve students’language skills.
سائبر کرائمز کی مختلف اقسام کا شرعی نصوص کی روشنی میں تجزیاتی جائزہ

Abstract:Analytical Review of Different Types of Cybercrimes in the Light of Shariah TextsIslam is the religion of nature that guides people in every field of life. As crime and punishment is one of the areas of human life, Islam also provides full guidance about it. The nature of crime is changing with the passage of time and cybercrimes are its latest example. Those who use information technology for negative purposes are called cybercriminals and all criminal activities, committed by the computer; the Internet, cyberspace and the World Wide Web are called cybercrimes. The overall rules laid down by Islamic law in relation to crime cover every form of crime, including cybercrimes. However, there are some Shariah texts that can be specifically applied to different forms of cybercrime. This article studies the same shariah texts that can be applied to different types of cybercrimes.Keywords: Cybercrime, Crime, Sharia.