Reviewerly/exHarmony huggingface dataset:
Iterative Reasoning over Knowledge Graph

The concept reasoning is an essential task in text data management and understanding. Recent methods usually capture shallow semantic features and cannot extend to multi-hop reasoning. Knowledge graphs have rich text information and connections. We use a knowledge graph to encode complex semantic relation between evidence and question. The nodes represent valuable information as clue entities and candidate answers in evidence and question, and the edges represent the reasoning rules between nodes. In this paper, we propose a graph-based reasoning framework with iterative steps. The model obtains the completed evidence chain through iterative reasoning. The new approach iteratively infers the clue entities and candidate answers from the question and clue paragraphs to as new nodes to expand the semantic relation graph. Then we update the semantic representation of the questions and context via memory network and apply the graph attention network to encode the reasoning paths in the knowledge graph. Extensive experiments on commonsense reasoning and multi-hop question answering verified the advantage and improvements of the proposed approach.
Crime Records Management System

The proposed framework applies to all Police stations the nation over and explicitly investigates the subject of Crime Records Management. It is surely known that Crime Prevention, Detection and Conviction of crooks rely upon a profoundly responsive spine of Information Management. The proficiency of the police work and the adequacy with which it handles wrongdoing rely upon what nature of data it can get from its current records and how quick it can approach it. It is proposed to incorporate Information Management in Crime for the reasons for quick and productive sharing of basic data across all PoliceStations across the region.At first, the framework will be executed across Cities and Towns and later on, be interlinked with the goal that a Police crimina l investigator can get to data across all records in the state accordingly helping quick and effective finish to cases.The System would likewise be utilized to produce data for favorable to dynamic and preventive measures for battling wrongdoing.The venture has been intended to have the perspective on disseminated engineering, with concentrated capacity of the data set.The application for the capacity of the information has been arranged.Utilizing the develops of SQL worker and all the UIs have been planned utilizing the DOT Net technologies.The norms of security and information defensive component have been given a major decision for legitimate use.The application deals with various modules and their related reports, which are created according to the relevant methodologies and norms that are put sent by the regulatory staff.
Building TariPedia App as A Typical Balinese Performance Encyclopedia on Mobile Device Platform

Indonesia is a country with a variety of cultures and arts. Traditional art dance is one of Indonesia's arts which is one of the important aspects in supporting Indonesian culture and even tourism. Traditional dance has a special attraction to be enjoyed while staying in the midst of rapid development. Therefore, the writer makes a market application that connects the studios, dance groups, and dancers with traditional dancer tenants. TariPedia makes it easy for studio owners, service providers, and event organizers to market their services so that they can be more easily reached by the public and can increase sales of their services with the payment feature through the application. Therefore by developing TariPedia with Prototyping Method and Java Language in its development, TariPedia will continue facilitates the community, especially in the fields of traditional dance and at the same time modernizing regional arts.
Deep learning in natural language processing

In recent years, there have been numerous breakthroughs by deep learning in various natural language processing (NLP) fields. This chapter will introduce common deep learning models and practical skills in NLP tasks, which also lay the foundations in machine reading comprehension models. This includes deep learning techniques for natural language understanding and generation. This chapter requires a basic understanding of deep learning, neural networks, and PyTorch, which are described in detail in Appendix B.
Assessment of Mass Drug Administration activities for Lymphatic Filariasis Elimination in Vizianagaram District of Andhra Pradesh

Background: Lymphatic Filariasis commonly known as elephantiasis is a painful and profoundly disfiguring disease that has a major social and economic impact.Mass Drug Administration (MDA) programme for the elimination Lymphatic Filariasis (LF) has been implemented globally since 1997 and the MDA campaign launched in India during 2004 to interrupt the transmission of Lymphatic Filariasis Methods: The present study is a cross-sectional descriptive study conducted from 13 th to16 th June, 2019 in Vizianagaram district of Andhra Pradesh.The three rural and one urban area of Vizianagaram district were selected using multistage cluster sampling technique Clusters of 30 houses from one village of each PHC and one ward of urban area with a total of 120 households were selected for the study.Results: A total of 120 households covering 456 population were surveyed out of which 47.1% were male and rest 52.9 % were females.Overall drug distribution coverage is 94% and effective coverage rate is 88%. Conclusions:There is a pressing need to promote operational research on possible transmission from nearby districts and confirmatory mapping of uncertain areas.Further qualitative comprehensive studies with more diverse participants are needed to ascertain the causal relationship.
A study on the revised nuri curriculum and supporting the play of young children with disabilities in an inclusive setting

본 연구의 목적은 2019 개정 누리과정이 시행됨에 따라 장애유아의 자유놀이 참여를 증진시킬 수 있는 지원 방안을 제안함으로써 통합환경에서 장애유아의 자유놀이 참여 증진을 위한 유용한 정보를 제공하는 것이다. 이를 위해 먼저 2019 개정 누리과정의 특성과 장애유아의 놀이 특성을 살펴보았다. 그다음 선행연구 결과에 기초하여 통합된 장애유아의 놀이 활성화를 위한 방안을 고찰해 보았다. 통합된 장애유아의 놀이 참여 증진 방법을 찾기 위해 우선적으로 논의되어야 할 것은 장애유아의 놀이에 대한 가치를 인식하는 것이다. 장애유아의 놀이는 학습의 도구로서의 가치만이 아니라 비장애 유아와 마찬가지로 그들의 삶의 질을 결정할 수 있는 하나의 권리로 인식되어야 한다. 선행연구 결과에 기초하여 장애유아의 자유놀이 참여 증진을 위한 교수전략으로 유아중심 교수법, 자연적 교수법, 최소촉진 전략을 제안하였다. 결론적으로 유아중심, 놀이중심에 기초하여 장애유아가 자유놀이에 최대한 참여하도록 촉진하는 절차를 도식화하였다. 마지막으로 현장에서의 실행연구를 후속 연구로써 제언하였다.The purpose of this study is to provide a useful information about the effective supporting method to encourage young children with disabilities to participate in free play in an inclusive setting under the Revised Nuri Curriculum. For this purpose the characteristics of the Revised Nuri Curriculum and the play of young children with disabilities were reviewed. Then, based on the results of previous studies, the effective strategies were explored for supporting the play of young children with disabilities in an inclusive setting. For the supervision of the play of young children with disabilities in an inclusive setting, the value of the play of young children with disabilities should be discussed in advance. Play of young children with disabilities should not only be recognized as a tool of learning, but also as a right to determine their quality of life like young children. Based on the literature reviews, the child-centered education, the naturalistic teaching and the least prompting strategies were suggested as the effective methods to increase the levels of participation of young children with disabilities in the play. In conclusion, the process of supporting young children with disabilities to participate in free play was schematized based on child-centered and play-centered education. Lastly, the research on the actual practice in the field was suggested as a follow-up study.
Hijaiyah Letter Segmentation Using Connected Component Labeling Method

Arabic letters or Hijaiyah letters recognition is a challenge in itself because one letter consists of more than one character, namely the main character, companion character such as dots and lines, and punctuation called harakat. The image segmentation process is the most important in a character recognition system because it affects the separation of objects in an image. In this research, Hijaiyah letter segmentation aims to separate the letters according to the character of each letter using the Connected Component Labeling (CCL) method. Merging labels on each character will be done by looking for the Euclidean distance value from adjacent centroids. The experiment succeeded in segmenting each Hijaiyah character with an accuracy value of 86%.
Design Build Finding EO as A Web-Based Marketplace Event Organizer and Venue Apps

Event in Indonesia is an activity that utilizes a place or service in the implementation of these activities. Many obstacles that currently often occur when an event wants to be held either in the limited availability of information about the Event Organizer or where the event is inadequate due to limited sources. The similar information provided only display Event Organizer or Venue, but this is limited by the absence of a system that fulfills the transaction process directly. In the era of the development of science and technology as well as industry 4.0 that continues to expand, business ideas emerge that are initialized into one of the web-based marketplace application platforms that are able to promote Event Organizer and Venue also provide information and Event Organizer and Venue ordering processes for Event Users. The system, entitled Finding EO, uses the Prototyping method and its developed with PHP Programming languages.
EDUCATION IN THE REALITIES OF THE MEDIA SPACE: A PHILOSOPHICAL UNDERSTANDING OF PROSPECTS

The article analyzes the extent to which social reality can be considered as constructed. The main causes and consequences of the media's influence on the construction of social reality are analyzed. The main risks and benefits of the influence of the media on education are identified and the main directions of constructive interaction between the media and education are indicated.
Dialectical Models of Deliberation, Problem Solving and Decision Making

Formal normative models of deliberation dialogue have been strongly emphasized as argumentation frameworks in computer science. But making such models of deliberation applicable to real natural language examples has reached a point where the descriptive aspect needs more interdisciplinary work. The aim of this paper is to examine some real examples of argumentation that seem to hover on the borderlines between deliberation, problem solving and decision making.
Cloud Deployment Model's Role in Provider and User Security Investment Incentives

Firms rely on cloud computing to move their operations to the e-business model. However, security has been a major concern in cloud computing. The security of a cloud is the joint responsibility of the cloud provider and cloud users, but the extent to which the provider and users can affect cloud security through their efforts depends on the cloud deployment model. In a Software as a Service (SaaS) model, the cloud provider's effort has a larger marginal impact on cloud security than a user's effort, whereas in an Infrastructure as a Service (IaaS) model, the reverse holds. In this study, we examine how the cloud deployment model and user characteristics affect the cloud provider's and users' incentives to invest in security, which, in turn, affects cloud security, user valuation of the cloud, and provider's profit. Our analysis shows that a shift towards the SaaS deployment model does not necessarily increase the provider's effort even though it enhances the effectiveness of his security effort. For a given deployment model, an increase in the mean user loss from a security breach induces users to exert more security effort. However, the provider profitably free-rides on the enhanced user incentives to exert security effort by diminishing his effort if the provider's service cost is low. Analogously, a highly homogeneous user population, either in terms of cloud valuation or loss from a security breach, also benefits the provider regardless of the cloud deployment model. The cloud provider would prefer to shift towards a SaaS deployment model if users incur a greater loss from a security breach. However, such a shift may not increase the provider's profit. On the other hand, when users are highly homogeneous, the provider would prefer to shift towards IaaS and profit from such a shift.
THE IMPACT OF READING BOOKS IN PRIMARY SCHOOL

Everyone has the right to read a book and analyze the facts. So, the moral maturity of the choice. The books of the human beings are the real truths of life. The book was inspired by the spirit of spirituality, the truth of the universe, the eloquence of the dead
STRUCTURE OF THE CULTURE OF PROJECT ACTIVITY OF UNDERGRADUATES

"The article deals with the content and structure of the culture of project activity of undergraduates. The definition of project activity is given, as well as the features that distinguish project activity from other types of activity. The project culture is characterized, which is a broader concept, therefore, below we will use the term «culture of project activity». The structure of the culture of project activity is revealed, which includes an axiological component, a cognitive component, an activity component, a creative component. The axiological component is a set of values that fill the project activity of undergraduates with personal significance. The cognitive component includes knowledge, cognitive interest and readiness for self-study and expansion of the field of knowledge. The activity component reflects the skills and abilities necessary for the successful implementation of project activity. The creative component is characterized by creative abilities and creative thinking, the presence of which allows undergraduates to combine tradition and innovation in the process of performing project activity. "
Концепции технической цивилизации А. Гелена и Х. Шельски

The article compares two significant theoretical approaches to the study of the phenomenon of technology. Research by A. Gehlen and H. Schelsky became an important milestone in the development of German philosophy of technology of the 20th century. A number of provisions of the considered philosophers retain their relevance in our time, in particular, those about the radical transformation of human identity in technical civilization. The Leipzig school in sociology is currently a little-studied intellectual project in Russia, within which the original concept of the society of modern era has been proposed. The article reveals both the similarities and differences in the theories under consideration.
Research on the Development Status and Trend of K12 Online Education in China

In recent years, the Internet has had a huge impact on all walks of life, and online education is no exception. Online education is gradually favored by more and more consumers, and the online education industry is constantly updating its own industrial model. K12 online education market is an important part of China's online education market. A flood of money has poured into China's K12 online education market, helping to usher in a spring of growth for the industry. This paper makes a comprehensive analysis and discussion on the development status, profit model and development problems of K12 online education, and puts forward a prospect for its future development trend.
The Study of Al-Mashun Historic Mosque in Medan City from the Historical and Aesthetic Appraisals

The protection of tangible cultural heritage as an effort to preserve the nation's patrimony is an endeavor to strengthen the nation's treasure and identity. A set of such protection is no longer a subsidiary act but is a fundamental part of urban planning. The historic or ancient building is a tangible cultural heritage that is unmovable. A building is categorized as historic if it has essential value for prehistoric, present, scientific, and artistic functions with at least 55 years of age. Natural and human-made heritage can be in the form of buildings for commercial, cultural, educational, and religious purposes, family houses, industrial areas or government buildings, parks, bridges, old cities, historic neighborhoods, or traditional residential groups. This study aims to identify the Al-Mashun Mosque as a historic building. Several features are compiled such as name, location, owner, date of construction, original and current use, category, condition, description, history, significance/value, photo, source, founder, and the recommendation for rehabilitation/ revitalization/ conservation /preservation efforts in the concerned area or other matters considered to be necessary. This study is expected to assist efforts to preserve the Al-Mashun Mosque as a historic building in Medan City by optimizing its potential through conservation, preservation, revitalization/adaptation, rehabilitation/restoration, and reconstruction measures. Hopefully, Medan City is expected to have identity and characteristics in formulating the beauty of the city and promoting cultural tourism, while still involving the private sector and community participation.
PENDETEKSIAN WAJAH SECARA REALTIME MENERAPKAN JARINGAN BACKPROPAGATION: Cut Lika Mestika Sandy

Face detection is the first step required for various applications for computer vision, biometric recognition, and various multimedia applications, such as face tracking, face recognition, and video surveillance. In this research, a rapid face detection system was proposed applying the Backpropagation network. The system is developed from image qualification with the implementation of the sobel operator, and then the conditioned image is trained and tested. The performance of the developed system is considered based on two performance comparisons, detection rate and false positive rate. The assessment results show that the system performance that occurs has a detection rate ranging from 70% to 85%. For the development of system performance quality in future research, the developed system can be combined with one of the video complexity tests, skin color segmentation, or statistical tests.
GEOGRAPHICAL INFORMATION SYSTEM DESIGN ANDROID-BASED CHILDREN SERVICES

Day Care Centre (TPA) is a form of Early Childhood Education (PAUD).through the non-formal education  as a place for welfare functions as a substitute for the family for a certain period of time for children who have parents who are very busy with their work and career. There are many Day Care Centres in Indonesia, but the society members do not know about it. The community still uses the old system in solving the child care day problem namely; they ask the neighbor to care their child(ren) or call other people to come their house to care their chid(ren). But the system is not full of effective and efficiently because by this system, not a few parents are so sorry because they do not have time to care their child(ren) by themselves. To solve the problem, searching the locations of the Child Care Houses have been made a geographical information system based on Android in searching the location of DayCare Centre, especially in Padang City in order to help the society members in searching the location in particlarly the parents find out the place more easily by using Android Application.
The Effect of Availability of Teaching Materials, the Use of the Learning Method and the Learning Stimulus of Learning Motivation

The purpose of this study was to determine the availability of teaching materials on learning motivation . To find out the effect of the use of learning methods on learning motivation . To know the effect of learning stimulus on learning motivation. The research method used was a questionnaire method with a qualitative approach. The results of the study showed that there was a significant influence on the use of teaching material availability on learning motivation , there was a significant influence on the use of learning methods on learning motivation , there is a significant influence for learning stimulus on learning motivation . The results show that the value of X affects Y, where the results are normally distributed because the Asymp value. sig > 0.05 . In multicolliniarity No symptoms of multicollinearity occur because tolerance> 0.100 and VIF 0.05 . Each variable x partially influences Y because the sig value t table, where t table = 1.971 . All variables X simultaneously affect Y because the sig value f table, where f table = 2.65 . The variables X simultaneously affect Y by 21.4%.
Prediction and Accuracy of Rupiah Exchange Rates Against US Dollar Uses Radial Basis Function Neural Network

Currency exchange rates, or often referred to as the exchange rate, are the price of one unit of a foreign currency in a domestic currency or can also be called the price of a domestic currency against a foreign currency. The value of a country's currency is strongly influenced by the flow of capital between countries. The high exchange rate of other countries' currencies against a country will result in the deterioration of the economic situation of a country. The weakening of the currency exchange rate will cause Indonesia's foreign debt to increase and the balance sheets of companies and banks will decline. The phenomenon of volatile rupiah exchange rate fluctuations often occurs in Indonesia which will cause economic conditions, especially trade will be disrupted because trade is valued in US dollars (USD). Therefore, serious handling is needed in the face of erratic exchange rate fluctuations because it will affect the economic performance of a country so that a decision can be made after knowing the exchange rate of the next period. In helping to make decisions, the authors make a forecasting model of the rupiah exchange rate against USD using the radial basis function of the neural network. In this research used factors that influence the fluctuation of the rupiah exchange rate against IDR, namely the value of exports, imports, GDP, BI interest rates, inflation rates, and the money supply. In this research optimization of learning rate and hidden neuron parameters was done to get the lowest error value or error rate. The results of the research using the radial basis of neural network functions produce accuracy values ranging from 89 - 95% in the training process while the testing process ranges from 67 - 98% and with an error rate of 4 - 11% in the training process while 2 - 32% for testing process.&#x0D; Key Words : Exchange rates, forecasting, RBF, training, testing, accuracy
Evaluation of the Implementation of the ISO/IEC 29110 Standard at the Software Development Center from the Institute Technological Superior of Nochistlán

This paper shows the evaluation of the implementation of the basic profile of the ISO/IEC 29110 standard in the Software Development Center (CEDESOFT) from the Institute Technological Superior of Nochistlán using the survey method through a questionnaire that was applied to students and teachers who worked under this standard. The evaluation of the implementation of the standard in the CEDESOFT allowed to know the usefulness of the processes for the completion of the projects, the activities of the processes with greater difficulty during their execution, and to know if the implementation of the standard helps teachers and graduates in their activities related to software development.