Reviewerly/exHarmony huggingface dataset:
Exploiting Web Scraping for Education News Analysis Using Depth-First Search Algorithm

Online news is one source of data that is always up to date and provides information or factual data. The search engine is one of the features for users to be able to enter keywords based on the expected category quickly. The development of education in Indonesia makes it essential to discuss, in this study using unstructured data in online news with the keyword Education included as a parameter, and adding search methods in the field of Artificial Intelligence so that the data becomes more accurate. Data that used here was from online news, namely CNN Indonesia, Detikcom, and Liputan6. Using Python Programming with depth-first search method (DFS), when compared with the results data for relevant news. Web erosion using DFS will be very helpful in searching because this method can check the date data was sent and then track the destination URL. Of the three online media sites, Detikcom produces the highest monthly data yielding an average of 885 news about education. At the same time, Liputan6 has the least amount of data on average, 28 news per month, but the data obtained are very relevant compared to Detikcom and CNN Indonesia.
BREAST CANCER CLASSIFICATION USING ARTIFICIAL NEURAL NETWORK AND TRANSFER LEARNING ON HISTOLOGY IMAGES

AbstractFrom past few years, the breast cancer is the second main cause for deaths of women around the world. Previously, breastcancer cell was being detected with the help of biopsy and pathologist which was the only way. In recent years, computer aidedtechnique machine learning is introduced in which computer first trains on specific patterns on breast cancer cellhistopathological images and then detect whether cell is cancerous or not. In this paper, comparison of two approaches is madefor classification of breast cancer into benign and malignant using histopathological images. First approach is artificial neuralnetworks in which features are being carried out with the help of 30 hidden units present in three hidden layers (10 units in eachlayer) and after then features are embed in softmax layer for classification of benign and malignant cancer. In second approach,transfer learning technique VGG19 model is use for classification. The result shows VGG19 transfer learning model performbetter in comparison to artificial neural network where VGG19 achieve 98.4% accuracy and artificial neural network achieve83% accuracy
Topic Detection By Clustering Keywords

The large quantum of information makes it necessary to find out methods and tools to summarize them. This research work is to propose a method, which collect topic using a specific keyword and then, summarizes them to find out topics related to that keyword. The topic detection is done by using clusters of frequent patterns. Already existing pattern oriented topic detection techniques suffer from the wrong correlation problem of patterns.Topic detection without any prior knowledge of category structure or possible categories. Keywords are extracted and clustered based on different similarity measures using the clustering algorithm. In particular, a newly proposed term distribution taking co-occurrence of terms into account gives best results.
Consistency, Not Cookie-Cutter: Maintaining Individuality Within a Library System

Jackson County Library Services (JCLS) is celebrating its centennial this year, and in 2020, we will be transitioning away from a contract with Library Systems and Services, and moving into our own library district. With this transition comes a lot of discussion about where we have come from, and how we want to represent ourselves as a system for the next 100 years.
Review on Social Network Trust With Respect To Big Data Analytics

In recent years, Online Social Networks (OSNs) have become a significant part of human lives. At present, Social Network connects various people who expose similar interests. Users develop explicit network systems to speak to their social connection. Users regularly transfer a lot of data associated with their own lives. The potential security dangers of such data are regularly belittled or overlooked on the issues in making sure about the information and security of users in cloud-based Social Network persevere and the users are unconscious of these issues. They share different pictures, recordings, and individual information on the systems administration site which avail considerably even after deleting. In any case, a portion of the data revealed is intended to be private, thus interpersonal information has prompted the danger of spreading of secret data of the people. Since progressively customized data is imparted to the public, disregarding the protection of the target user becomes a lot simpler. Thus, the security of the interpersonal information stored in the cloud is one of the major issues in cloud-based systems. This paper presents a survey on different models on guaranteeing security for sharing the information in the social network. It is proposed to develop a model in the future to ensure trust in the transfer of any data in the Social Network sites.
Improved Clipping in the R Graphics Engine

This report describes improvements to clipping in the R graphics engine. These changes will be of particular interest to maintainers of R graphics device packages and to maintainers of R packages that perform visual difference testing.
GEOGRAPHIC INFORMATION SYSTEM MAPPING SPREAD OF COVID-19 WITH FRAMEWORK CODEIGNITER

China is facing an outbreak of a virus known offi-cially as the 2019 Novel Coronavirus (abbreviated 2019-nCoV). This newly identified type of coro-navirus was first detected in Wuhan, China. Coro-navirus is a family of viruses that cause diseases of the respiratory tract. Between 15% - 30% of cases of common influenza are thought to be caused by a coronavirus. MERS and SARS outbreaks are also caused by a coronavirus. Coronavirus problems continue to grow day by day, even faster develop-ment. The public needs to understand the situation and know the development of coronavirus at this time, therefore it is necessary to build a web-based information system with a CodeIgniter framework and leaflets to facilitate monitoring of the devel-opment of coronavirus in various countries in real-time. Keywords: codeigniter; covid-19; geographic information system; leaflet; mapping
The Measurement of Media Literacy Skill of Indonesian Language Teachers Based on Individual Competence

The media saturated era demands the education circle, including Indonesian language teachers not only being able to operate the media, but also being critical of the content within it.At this time, there are 25% of Indonesian language teachers who have media literacy skills.The measurement of individual competence-based media literacy skill aims to measure the level of one's ability in using and utilizing the media.The measurement methodology based on two categories of measurement standards; namely the level of personal competence and social competence.The conclusion of this conceptual study is media literacy will be implemented in teaching and learning process of Indonesian subjects.Therefore, the level of literacy skill of Indonesian language teachers needs to be known for sure.One of them is to make sure the conduciveness of language skill learning, which is vital in the demand of 21 st Century skills and reference of Higher Order Thinking Skills (HOTS) for students.
Manfaat dan Metode Aplikasi Sensus Penduduk Online di Desa Sukabakti

Census is the calculation of the total population, economy, etc. conducted by the government within a period of time, carried out simultaneously, and is comprehensive within a country boundary for the interests of the country's demographics concerned. At present Sukabakti village in Tambelang sub-district, Bekasi Regency does not have accurate data population. It is estimated that there are around 8000 residents in this district. However, there are many people who do not have a ID card (KTP), so they are not registered. Their reason is because they do not feel they need a ID card because it is useless. The large number of unregistered people requires manual data collection. This is where a census population is needed for the people of this village. There are several methods for conducting population censuses. In practice, the recording method or census used can be divided into two, namely the householder method and the canvaser method. Based on the status of residence of the population, the census can be divided into the de facto census and the de jure census. With the development of digital technology and information systems, the census can be done by online applications. This journal will discuss these methods so as to increase the knowledge of us about the population census and its application by using an online census application.
Extent of Utilization of Databases among Undergraduate Students of Umaru Musa Yar’adua University, Katsina

Previous researches on the Accessibility of Databases by Undergraduate Students of Umaru Musa Yar'adua University (UMYU) have found out that there was low level of accessibility of library databases. This paper investigates the further factors of the accessibility of Databases among Undergraduate Students of Umaru MusaYar'adua University.This study was carried out among two hundred (200) Undergraduate Students of Umaru Musa Yar'adua University.Questionnaire was the instrument used for data collection, while data was analyzed by frequency and Pearson Product Moment Correlation (PPMC) was used to test the hypothesis, one of the findings of the study was that information awareness on the accessibility of databases among Undergraduate Students was inadequate and this affects the accessibility of databases.The study further discusses the need to increase awareness on databases subscribed to by Umaru Musa Yar'adua University Library.There is need to increase the internet facilities on the Faculties library in order to facilitate the accessibility of databases.It is believed that awareness on accessibility will increase the use of databases subscribed to by the library.The study recommends regular training of Academic staff on updating their knowledge of the available sources, and access to databases subscribed by the University library.The University also needs to improve on the provision of internet facilities on faculty's library to meet up the challenges.
PENDAMPINGAN DALAM MEMBUAT DAN MENGGUNAKAN MEDIA PEMBELAJARAN BAHASA INGGRIS BAGI GURU TK DAN SD DI WILAYAH CIHAMPELAS KABUPATEN BANDUNG BARAT

English learning is a local content at the elementary level. Our interest in the PKM program is due to the initial findings that most of teachers who teach English at kindergarten or elementary levels only rely on the existing worksheet. In addition, teachers still find it difficult to find or use learning media that is in line with the learning theme. The main objective in this activity is to provide assistance in making and using English learning media. The method of implementing this activity is in the form of in-service training programs, namely training for kindergarten and elementary school teachers in Cihampelas sub-district. Based on the results of the questionnaire, it can be concluded that the training material is very useful for participants in enhancing creativity, besides that the participants also think that the teaching media used are easy to make.
Efficient Task Allocation Based on Green Computing in Private Cloud

Cloud computing is a rapidly emerging new paradigm for delivering computing as a service. There are many research issues in cloud computing. Resource allocation is one of the challenging tasks in cloud environment. The main aim of resource allocation to reduce the infrastructure cost associated with companies. The resources offered in the cloud are probably heterogeneous and extremely dynamic. Due to this dynamic access, load balancing of jobs required. Cloud computing resource allocation should be elastic and intelligent, based on application demand and user requirements [1].Green cloud computing is a trend which has become popular with the emergence of internet driven services in every field of life. It refers to the prospective environmental advantages that computer based internet services can guarantee to the environment, by processing huge amount of data and information from collective resources pool.load balancing in an efficient way so that the resource utilization can be maximized and the energy consumption of the data centre could be minimized that can further result in reducing global warming. We have concluded the parameters that should be analysed and improved that will result in reduction of global warming and will increase the profits of cloud provider and the client. Cloud computing resource allocation should be elastic and intelligent, based on application demand and user requirements. Green cloud computing is a trend which has become popular with the emergence of internet driven services in every field of life
LibGuides: Resources for Remote Teaching & Learning: Digital Learning Resources

Library and Digital Learning remote teaching and learning resources for students and faculty
COVID-19 and the end of technological innocence

COVID-19 has acted as a catalyst for international relations. It has accelerated and amplified trends that were emerging before the crisis, such as the central and growing role of cyberspace, the normalization of surveillance capitalism, and the intensification of Sino-American rivalry. Europe is becoming a major battleground for Washington and Beijing. For Europe to maintain its sovereignty, it will need to make significant investments, particularly in 5G.
LibGuides: OpenUCT LibGuide: Searching on OpenUCT

Libguide of the open access institutional repository of the University of Cape Town (UCT) This is a step by step guide on how to conduct a search on OpenUCT and about using the filters.
Analisis Model Discovery Learning Sebagai Upaya Meningkatkan Pemahaman Konsep Tata Ruang Kantor

This article is aimed to analyze how the discovery learning model can improve students understanding of office layout concepts. Basic competence regarding office layout is aimed for students to identify and formulate office layout problems through collecting the data, processing the data, and communicating the concepts of office layout. In the implementation of office layout learning, material delivered thorugh a direct learning model with lecture method is difficult to understand and less stimulating the students activity and ability. The direct learning model with lecture method is not appropriate with the provision of the current curriculum, 2013 curriculum in 2017 revision which focuses on student centered learning. œBased on the current curriculum provision, learning model that focuses on the students themselves in the learning process is necessary to apply in order to stimulate the students activeness, abilities, and interests in improving the understanding of concept in the teaching and learning process. The discovery learning model is the proper model to improve understanding of office layout concept, œbecause the model aims to stimulate the students to be more active in learning activities to develop creativity and ability to think rationally and critically in problem solving. The basic competency regarding office layout will be useful not only in the workplace but also useful for daily life. The type of this research is conceptual which proves that the discovery learning model is the right choice as an effort to improve the concept of office layout.
IMPLEMENTASI MODEL WATERFALL PADA SISTEM INFORMASI PENJUALAN BERBASIS WEB

Abstract - Muslim clothing Sales Information System is an information system that produces a variety of information that could be useful to support sales activities in NB Clothing stores Depok. Data collection system products, product processing, and sales of the products contained in NB Clothing stores still use manual way is to record each and every transaction product data product that happens to be very ineffective. Application Systems generated sales information capable of managing sales data, which includes data items, product processing purchase data in an organized manner. The realization of the development of Muslim clothing sales information system is a web-based application creation that is able to represent information system designed as a whole Keywords: waterfall model, information system, selling
The lower bound and exact value of the information rate of some developed graph access structures

Various studies have focused on secret sharing schemes and in all of them, each shareholder is interested in a shorter share. The information rate of a secret sharing scheme shows the ratio between the size of the secret to the maximum number of shares given to each shareholder. In this regard, the researchers investigated the optimal information rate of the graph access structure. This paper aims to discover the exact values for the optimal information rates of the two graph access structures, which remained as open problems in Van Dijk’s paper. Furthermore, we introduced the developed multipartite graph and the developed cycle graph and calculated the exact value of their optimal information rate. Moreover, we presented a lower bound on the information rate for other developed graph access structures.
Sunghaksipdo VR: An Interdisciplinary Approach to the Creation of a Virtual Philosophical Thought Space

Our society is confronting a new technological revolution. This revolution will change the way we live and work. A true understanding of humanity and human beings will aid in the development of a better co-existing human-technology relationship. In this study, we attempted to foster an understanding humanity based on the perspective of Toegye Yi Hwang’s Ten Diagrams on Sage Learning, called Sunghaksipdo in Korean. From its inception, Virtual Reality has been distinctly effective at providing immersive perspective-taking experiences. However, for this project, we focused on the use of a VR-enhanced environment as an introspective tool. To accomplish this, we constructed a transdisciplinary study by creating a Ten Diagrams on Sage Learning virtual reality environment, called Sunghaksipdo VR. The purpose of this study is to explore technological opportunities for cultivating a public understanding of Neo-Confucianism by creating “Taegukdo”, the first diagram in the Ten Diagrams on Sage Learning. First, we examined three background theories: Neo-Confucianism, virtual reality for the Ten Diagrams on Sage Learning, and spiritual experience. Then, with a deep understanding of these theories, we designed and developed the Sunghaksipdo VR. The major principle we followed was the HMD-based VR Environment design process. Specifically, we conducted the design process in two phases to create appropriate content, then administered a pilot user study with our first prototype. This pilot study had two main purposes: to evaluate user content comprehension and overall user experience. In brief, the results showed that the content creation was quite successful. Most users were very satisfied with this introspective VR experience, and they also wanted to see more content related to Eastern philosophical thought through this kind of vivid visualization. When it comes to user experience, we still need to improve some navigation design features and propose better ideas to decrease VR use-associated physical fatigue. Ultimately, we hope to use VR technology to provide users spiritual experiences.
INFLUENCE OF PEER GROUP ON ADOLESCENTS’ ACADEMIC PERFORMANCE IN SECONDARY SCHOOLS IN ILORIN METROPOLIS, KWARA STATE

This study investigated the influence of peer group on adolescent’s academic performance. Descriptive research design was used. Random sampling technique was adopted to select 200 in-school adolescents from five secondary schools in Ilorin metropolis of Kwara State. Questionnaire was developed to collect data. The data collected were analysed using Pearson product moment correlation coefficient at 0.05 level of significance. The findings of this study revealed that peer group could either positively influenced the academic performance of in-school adolescents. Based on the findings of the study, it was recommended that parents and teachers should provide adequate guidance to adolescents to help them understand how the friends they keep can either positively or negatively influence their academic performance in school.
EFEKTIVITAS INOVASI PEMBELAJARAN INTEGRITAS: MODEL QUANTUM LEARNING DAN COOPERATIVE LEARNING TIPE JIGSAW PADA PELATIHAN KEPEMIMPINAN TINGKAT IV PROVINSI SUMATERA SELATAN

This study examines the effectiveness of the application of Jigsaw type quantum learning and cooperative learning models in Level IV Leadership Training in South Sumatra Province. The study used an unrelated two-sample experimental design, namely the control class and the experimental class. Primary data, in the form of learning achievement values measured at the end of the learning process and learning attitudes in both classes were analyzed using the Mann Whitney test. The results showed that the quantum learning model and cooperative learning type jigsaw were more effective than conventional models. This was demonstrated by the application of quantum learning methods and cooperative learning type jigsaw significantly higher than conventional models, both in the value of learning achievement (z=-6,529; Sig.=0,000) and in learning attitudes (z=-8,017: Sig.=0,000). This research has contributed to the learning of Level IV Leadership Training on integrity material using innovative learning models of quantum learning and cooperative learning type jigsaw. Keywords: learning effectiveness, leadership training, quantum learning, cooperative learning jigsaw type.
Catching up with R Graphics

This document describes an expansion of the R graphics engine to support a number of new graphical features: gradients, patterns, masks, and clipping paths.
한국 문인들의 한유(韓愈) 「송궁문(送窮文)」변용 창작 시론(試論) - 문체(文體) 인식과 제재(題材)의 차용을 중심으로

Han Yu(韓愈)''s SongQiongWen(送窮文) has its own complex and ambiguous characteristics. So, each previous editors attributed it to a different style in their anthology. These complex features have also influenced the creation of ancient Korean writers who have honored Han Yu''s prose works as a paradigm. These forms of creation in ancient Korea can be summarized as two main ways.First, It is the series of GuShiMaMun(驅詩魔文), which is one of writing form ZaWen(雜文) that has strong fable character. Second, It is the series of SongDuShinMun(送痘神文), which is one of writing form ZaWen or Poetry(詩詞) that has strong character of funeral oration(祭文). These can be attributed to the stylistic complexities of Han Yu''s SongQiongWen. Especially, as series of SongDuShinMun that can be seen as cultural products which were occurred from the backdrop of the cultural environment in the late Joseon Dynasty. Therefore, these are worth the research as an example of the creative form of literature that Joseon writers have adopted and transformed Chinese literature independently.