Reviewerly/exHarmony huggingface dataset:
STUDENTS' RESPONSE TO THE USE OF TELEGRAM IN ENGLISH CLASS DURING COVID-19 PANDEMIC

In the 21 st century, due to the advancement of Information and Communication Technology, the importance of English usage has increased. English teachers face considerable challenges in teaching students. Moreover, with the outbreak of COVID-19, the government issued some regulations to prevent COVID-19 transmissions at schools by changing conventional learning methods to e-learning. There are a lot of online learning applications. One popular application is Telegram Messenger. Therefore, the study aimed to determine the students' response to the use of Telegram in English class during COVID-19 pandemic and identify the obstacles they experienced when applying this application. The research respondents were the ninth-grade students at SMP Negeri 1 Kawunganten. The study was a survey using quantitative method with descriptive statistics to analyze the data. Moreover, the research employed a close-ended questionnaire. The result of students' response to the Telegram usage was 81%, resulting in the strongly category. This result indicated that Telegram was beneficial for students and very effective in English class. However, students still faced some obstacles with an average of 70%, and it indicated the level of difficulty was high. The highest problem percentage occurred in the students' concentration and motivation to study that decreased during the e-learning.
Gender Equality as the Road to Development: The Effectiveness of Smart Economics and Gender Mainstreaming as Growth and Development Policies. A Comparative Analysis.

Gender equality has been recognized as an important factor on the road to economic development. Smart Economics and Gender Mainstreaming are two gendered development discourses aiming to achieve economic development through reducing gender inequality. This study aims to assess to what extent these discourses have an impact on economic development. A difference-in-differences analysis is conducted on Ethiopia and Mozambique as they have, respectively, implemented Smart Economics and Gender Mainstreaming policies. Tanzania is used as the control country. Two indicators, GDP and HDI are used to measure economic development. I find that Gender Mainstreaming in Mozambique has had a positive influence on the country’s economic development. Smart Economics in Ethiopia, however, has not had an impact on economic development. Different reasons for these results, among which culture as well as the inclusion of unpaid labour in policies, are discussed. This study is of relevance for policy makers and development experts and additionally contributes to the debates regarding gender equality in development and the effectiveness of these gendered development discourses. (Less)
UPAYA PENINGKATAN HASIL BELAJAR MATEMATIKA MATERI OPERASI HITUNG BILANGAN MELALUI PEMBELAJARAN KOOPERATIF TIPE NUMBERED HEADS TOGETHER (NHT) PADA SISWA KELAS IV SD NEGERI BEKONANG 02 KECAMATAN MOJOLABAN SEMESTER 1 TAHUN PELAJARAN 2018/2019

The purpose of this research action is to improve mathematics learning outcomes in fourth grade students of SD Negeri Bekonang 02 2018/2019 Academic Year through the application of the Numbered Heads Together (NHT) cooperative learning model. The implementation of this research uses a form of classroom action research conducted in 2 (two) cycles, conducted at Bekonang 02 State Elementary School with research subjects for all fourth grade students of Bekonang 02 Elementary School in semester 1 of 2018/2019 Academic Year with a total of 46 students. The research method uses Classroom Action Research. Data collection is done through observation, documentation and tests. Data analysis was performed in 3 (three) stages including: data reduction, data presentation and drawing conclusions or verification. The results of the study stated that through the application of the cooperative learning model Numbered Heads Together (NHT) could improve Mathematics learning outcomes from the initial conditions the average value of 63.4 with completeness of 19 students (41.3%) increased to the condition of cycle 1 with an average value 71.3 and completeness as many as 28 students (60.9%) and at the end of the second cycle the average value increased to 81.1 with completeness of 40 students (87%) from a total of 46 students in grade IV SD Negeri Bekonang 02 semester 1 Year 2018/2019 lesson.
Automatic Knowledge Extraction with Human Interface.

OrbWeaver, an automatic knowledge extraction system paired with a human interface, streamlines the use of unintuitive natural language processing software for modeling systems from their documentation. OrbWeaver enables the indirect transfer of knowledge about legacy systems by leveraging open source tools in document understanding and processing as well as using web based user interface constructs. By design, OrbWeaver is scalable, extensible, and usable; we demonstrate its utility by evaluating its performance in processing a corpus of documents related to advanced persistent threats in the cyber domain. The results indicate better knowledge extraction by revealing hidden relationships, linking co-related entities, and gathering evidence.
CONSTRUCTION OF FEEDING EQUIPMENT SYSTEM OF PIPE TALANG (Automatic Feeder) IN CULTIVATION OF SHRIMP (Caridea)

&#x0D; The feed spread system that has been used by shrimp cultivators is by spreading the feed around the pond area by rowing using a boat or by circling the pond while carrying feed, this is deemed ineffective because the energy required in feeding using this method is very large so that the Farmers often experience fatigue which means a lot, therefore it is necessary to have a tool that can be used to help shrimp cultivators in providing feed to shrimp, one of which is by using a feeder with a pipe gutter system (Automatic feeder). This research was conducted for 3 (three) months starting from June to August 2019 at the Dumai Marine and Fisheries Polytechnic Workshop. The purpose of this research is to find out how the construction and working steps of the automatic feeder system shrimp feeder. The method used in this research is an experimental method, namely making, testing and applying these tools at the Dumai Marine and Fisheries Polytechnic Workshop. The results showed that this tool has been successfully made and applied with a fiber tub with a capacity of 2 tons with a water height of approximately 3 cm. The feed is prepared in the tool as much as 20 grams, then this tool is operated so that the feed can fall to the bottom of the tub properly and evenly. This automatic feeder system has several advantages and disadvantages, both from a technical, economic, social and cultural perspective.&#x0D; &#x0D; &#x0D; Keywords&#x0D; Construction, pipe gutter, shrimp fiber tub&#x0D;
현대중국어 동사복사문의 양태 의미 연구

According to this point, this paper consider to Independent Construction. and tried to consider ''S+V1+O+V2+C'' Structural features and Modality Meaning. The results are listed below.In the first, the Verb-copying Construction is not to express Special act, but represent an event. I confirmed that the whole sentence serves as a Noun phrase.Second, I confirmed that ''V1'' limited verb''s activity, and has the ''stagnant'' in the ''S+V1+O+V2+C'' Structure. On the other hand, ''V2'' has the verb''s ''activity''.And third, I tried to analyze the Verb-copying Sentence in relation to ''Modality'', which represent a speaker''s subjective attitude. As a result, the Verb-copying Sentence was related to the Modality of ''Certainty'' or ''Probability'' in Proposition.
Análise Comparativa de Métodos para Esteganografia Digital em Imagens

Sensitive information being shared on the internet is growing. Becauseof this, it is increasingly necessary to take security measureswhilst this information travels in the network. Digital steganographyallows one to send sensitive information in a hidden manner.Although there is a plethora of techniques for such a goal, findingan appropriate one is not always simple. This paper implementsand compares spatial-domain digital steganography techniques inboth RGB and grayscale images. A frequency-domain heuristic forreducing the visual impact of digital steganography in grayscaleimages is presented. As another result of this work, a dataset is alsoavailable in the Kaggle platform with 18 GB of images, containingsecret messages using the techniques under study. In addition, aPython language library was also made available in the PyPI repository,allowing for both concealment and revelation of messagesusing the presented digital steganography methods.
Algoritma K-Means Dengan Menggunakan Metode Pengukuran Jarak dan Densitas Untuk Peningkatan Strategi Promosi Penerimaan Mahasiswa Baru (PMB)

In a company the activity of promoting a product or service is the most needed aspect to support success, so promotion is one way for companies or organizations to develop, maintain, and advance the business that is being managed. In order for the promotion to be carried out in accordance with the expected target, it is necessary to establish market segmentation in which there are many targeted targets, because the targeted target is very dispersed and scattered and varied in the demands of their needs and desires. Data mining is an activity in the database process to find certain previously unknown / hidden patterns that are useful and meaningful and can be processed. One algorithm that can be used for clustering is the k-means algorithm. In order to maximize the k-means algorithm, we use distance and density measurement methods. Grouping data using k-means is done by calculating the closest distance from a data to a centroid point. In this study, the method of calculating the distance on k-means between Euclidean and density will be combined. The test will be carried out using the execution time and the bouldin index davies. From the tests that have been done, the calculation of eulidean distance and density has the most efficient accumulation of time and the value of Davies Index.
Towards an Approach Based on Adjusted Genetic Algorithms to Improve the Quantity of Existing Data in the Context of Social Learning

In the current era, multiple disciplines struggle with the scarcity of data, particu-larly in the area of e-learning and social learning. In order to test their ap-proaches and their recommendation systems, researchers need to ensure the availability of large databases. Nevertheless, it is sometimes challenging to find-out large scale databases, particularly in terms of education and e-learning. In this article, we outline a potential solution to this challenge intended to improve the quantity of an existing database. In this respect, we suggest genetic algo-rithms with some adjustments to enhance the size of an initial database as long as the generated data owns the same features and properties of the initial data-base. In this case, testing machine learning and recommendation system ap-proaches will be more practical and relevant. The test is carried out on two da-tabases to prove the efficiency of genetic algorithms and to compare the struc-ture of the initial databases with the generated databases. The result reveals that genetic algorithms can achieve a high performance to improve the quantity of existing data and to solve the problem of data scarcity.
정부 부처간 협업을 통한 온라인 역학조사 지원시스템 개발 사례 연구

PurposeThe purpose of this study is to investigate the development process and the effectiveness of the EISS (epidemiological investigation support system), which prevents the spread of infectious diseases like a novel corona virus disease, COVID-19.Design/methodology/approachThis study identified the existing epidemiological support system for MERS through prior research and studied the case of the development of a newly developed epidemiological support system based on cloud computing infrastructure for COVID-19 through inter-ministerial collaboration in 2020.FindingsThe outbreak of COVID-19 drove the Korean Government began the development of the EISS with private companies. This system played a significant role in flattening the spread of infection during several waves in which the number of confirmed cases increased rapidly in Korea, However, we need to be careful in handling confirmed patients’ private data affecting their privacy.
Challenges and Opportunities in the Management of Collection Development Policy in Libraries

The study aims to explore the opportunities and challenges in the management of collection development policy in libraries. Collection development is considered a critical factor in the provision of adequate and relevant information resources in the library. In order to develop a balanced and un-bias collection, libraries formulate a policy that will serve the interest of the entire clientele. Collection development or acquisition librarians encounter challenges (both internal and external) in the process of formulating collection development policy. An extensive review of the relevant available literature on the concepts of collection development and collection development policy was made to conduct this study. The study found that acquisition librarians play a vital role in ensuring access to library information resources through the formulation of policies that guide them through this process. The study also discovered that while some libraries have written collection development policies, some have unwritten, and others do not have at all. A good number of literature consulted on the subject matter identified inadequate funding, internal and external interference, issues bordering on preservation, donations/gifts, vendors, intellectual property rights and inadequate knowledge of ICT as major impediments militating against the maintenance of balanced collection development policy. The study suggested adequate funding, adequate training and retraining of acquisition librarians in the areas of modern information technology as it relates to formulating guidelines for selecting electronic information resources and minimal interference from the libraries’ parent organizations. Libraries and enjoyed to lobby their parent bodies for more funding and create avenues for internally generated revenue. The provides an overview of collection development policy issues and how they influence the
On the Cost and Value of Build Automation

RESUME : L’Integration Continue (CI) est un processus de developpement par lequel des changements de code d’un projet sont regulierement testes et valides, souvent de maniere quotidienne, afin de pouvoir mettre a jour plus regulierement un produit. Ce systeme est de plus en plus utilise notamment dans de grosses compagnies qui doivent gerer la participation de nombreux collaborateurs a un projet/produit commun. La validation du maintien de la qualite logicielle d’un produit est primordiale pour que le produit puisse etre employe en continu par ses utilisateurs. Afin de faciliter cette integration continue, les gestionnaires CI font souvent appel a des systemes de builds automatises: un build est une verification de code via une compilation et un/des test(s) dans des conditions variees (differentes plateformes, versions, etc.). La gestion automatisee de ces builds permet aux systemes de tester la validation de code a chaque arrivee de changements de code.----------ABSTRACT : Continuous Integration (CI) has become the core infrastructure of modern software organizations, enabling them to update projects more regularly (i.e., daily) while keeping the quality of the code valid and relevant. However, with more than 100,000 automated build jobs triggered each day by, for example, the Mozilla CI, build automation comes with a financial and time cost that should not be neglected. Through this thesis, we aim at validating the hypothesis that the cost of build automation is not negligible and that the build activity could be reduced. This thesis presents the results of a quantitative study of the CI over the course of 20 months, analyzing over 54 million Mozilla build jobs to identify the cost of build automation triggered for each code change as well as a build reduction proposition, focusing on the case of brown builds at Ubisoft.
Android-Based Incentive Marketing Information System Design in PT MEGA AUTO FINANCE

Mega Auto Finance (MAF) is a fast-growing motorcycle financing company focusing on handling Yamaha motorcycle financing. PT. MAF is one of the companies of the CT Corp business group that has several companies in other business sectors, such as : Bank Mega, Trans TV, Trans 7, Trans Studio, Carrefour, Coffee Bean, Metro, Mango, and Detik. The problem in this research is the need for an information system that can process incentive data reports for each marketing with easy and fast access. The purpose of this research is to simplify the process of making Android-based incentive data reports. The method used in this study is the Waterfall method or a simple waterfall method. The results showed that marketing performance began to increase due to the quick and easy access to incentive report data. Android applications greatly facilitate users in data processing including marketing incentive data reports that can be seen directly with easy and fast access. The suggestion given is to be able to add features that are better than this research, such as the offline mode feature when opening an application, if there is no data package/wi-fi quota, can still access incentive data reports.
Научно-методические основы разработки и использования учебно-методического комплекса по математике для студентов технических специальностей (на примере специальностей «Химическая технология природных энергоносителей и углеродных материалов», «Системы водного хозяйства и теплогазоснабжения») : автореферат диссертации на соискание ученой степени кандидата педагогических наук : 13.00.02 / Мателенок Анастасия Петровна ; Белорусский государственный университет

The purpose of the study: the development and implementation of the scientific and methodological foundations of the educational complex to increase the effectiveness of teaching maths to students of technical specialties.
Breast Cancer Prediction Using Nature Inspired Algorithm

Medical industry, though various researches over decades, has figured out breast cancer to be one of the most common diseases in women. Studies have shown that every eighth woman is suffering from it. This research has been done with the intent to predict the occurrence of breast cancer with the help of various machine learning algorithms. For the analysis purpose, three different datasets were utilized, Wisconsin Breast Cancer (WBC) dataset, Wisconsin Prognosis Breast Cancer (WPBC), and Wisconsin Diagnosis Breast Cancer (WDBC) dataset. Also, the classification used for these datasets was done using Hierarchical Decision Tree (HIDER), PSO, and Genetic Algorithm for Neural Network (GANN). The results were compared based on the accuracy achieved was found that HIDER showed the best results with WBC Dataset, while GANN was the most accurate one with WDBC and WPBC datasets. This research would help organizations, working in the health sector, especially in cancer studies, to predict breast cancer accuracy with accuracy and help cure it in the early stages.
LibGuides: Southern Campus Departments: ECONOMICS & MANAGEMENT SCIENCE

Welcome to the Southern Campus subject guidesUse these subject lib-Guides to help you make the most of the library and information resources. This guide will help you discover how to find books, journals and other information needs.
‘Experience Congruence’ as a Criterion for Generalizability?

When evaluating the applicability of published SoTL and/or educational research results faculty often focus on the differences in demographic characteristics between the students in their academic context and those of the students where the data were collected. This could be problematic since readers might choose to dismiss a particular innovation if they perceive the discrepancies to be significant even though this reliance on demographics to identify informative pedagogical research may not always be justified. We report the results of survey of 1326 students from three introductory-level, first-year chemistry courses (a total of ten sections with ten different instructors) at two universities with significantly different student populations. The survey asked students to choose the hardest and easiest from five groups of topics typically taught in first-year chemistry courses. Remarkably, when separated by lecture section, overlaid frequency plots of students’ choices of hardest topic revealed a singular pattern. The trend transcended universities, courses, textbooks, instructors, and demographics. The only common parameter between the samples was the chemistry topics they learned. The correspondence in content, as such, constituted an “experience congruence”. Based on these data, we propose that readers might consider experience congruence – in lieu of sample or population characteristics – as a criterion for judging the generalizability of educational data.
Pembelajaran Baca Tulis Alquran Dalam Dunia Pendidikan

The times are increasing both in technology and in education.Along with the development of the times, especially in the field of education, provisions that must be owned by educators and students not only in the field of education that is related to worldly, but education and knowledge about religion also become one of the things that are not very important in the world of education.Therefore, at this time the need for understanding educators and students towards reading and writing the Qur'an is increasing and increasing.Moreover, in this growing age, many people ignore the ability to read and write the Qur'an which is very important to learn.The demand for one's ability to be able to master the reading and writing of the Koran becomes one of the phenomena that has developed and spread in the world of education.Therefore, it is not only at the level of basic education that learns to read and write the Koran but at the university level especially for students who are in the Department of Teacher Education Madrasah Ibtidaiyah this is one of the lessons that must be mastered by students who later in life will become a prospective educator.Some things that must be understood are especially the understanding of reading and writing
Preventive orthodontics treatment with space maintainer in the early loss of deciduous tooth

Background: The development of a child's jaw with complete teeth will certainly be better than the development of the jaw with some teeth that have been lost prematurely because the teeth are lost prematurely is very potentially crowding. This event often occurs during periods of mixed teeth caused by the premature loss of decidui teeth while the replacement teeth have not erupted due to shifting of teeth and so the space for the replacement teeth is insufficient. Objective: To find out more about preventive orthodontic treatments by using a space maintainer on premature loss of decidui tooth. Method: Scientific evidence and clinical cases were taken from the literature to support this review and information on preventive orthodontic treatments using space maintainers on early tooth loss. Conclusion: Orthodontic treatment with space maintainer is an appropriate procedure in case of premature loss to prevent the occurrence of malocclusion caused by tendency to movement of teeth resulting in loss of space for permanent teeth, crowding and impaction.
LibGuides: New @ Your Library - Okinawa: Home

Welcome to the MCCS Okinawa Library Program! Check out this selection of new titles now available in our libraries! For more new materials, please visit one of our six libraries.
Best Computer Desk with Printer Stand

It is essential to have all the equipment that you need to enter, process and output data within your home office. For these purposes you need a ...