Reviewerly/exHarmony huggingface dataset:
Perancangan Arsitektur Sistem Aplikasi DOOR to DOOR Kantor UPPD SAMSAT Kota Salatiga Berbasis Android

The increase in the number of motor vehicles is difficult to anticipate, the roads used are not in accordance with capacity. To prevent congestion, the government imposes a progressive tax on motor vehicles that have moved owners but are still on behalf of the previous owner. Manunggal Administration System under One Roof (SAMSAT) conducts Door To Door activities to request direct confirmation to taxpayers whose vehicles are subject to progressive taxes. It is difficult for taxpayers to find out what makes data manipulation happen. Created Android-based Door to Door Application System using waterfall method to facilitate Door to Door activities and avoid manipulation of taxpayer data. By using waterfall method this application is made starting from the analysis of needs, design of system design, implementation, to the application of the program. Application system design is built using UML (Uniferd Modeling Language) system design and system design implementation using Android Studio and RestAPI.
Toward Building of Visualization Method to Highlight Top Users’ Trends in Social Networks

Social media plays an essential role in people’s daily life. It is prevalent among the young generation. Social media applications, such as Microblog Sina Weibo, Twitter, Facebook, Instagram, are occupying significant positions in social connection and human being communication. Social media applications, like Weibo, provide the function of publishing, viewing, commenting, and sharing information. They also provide a platform for people to freely express their true feelings and opinions about the events through comment, retweets, and thumbs up. Information transmission on Weibo is real time, timely, and continuous, which helps track public interest and attitudes on a particular topic. Based on the information transmission on these similar social media networks, the sense of time, space, and strangeness between publishers and audiences is eliminated. Using information visualization can make the public opinions in social networks clearly show. The layered display composed of flower graph, radar graph, and pie chart allows users to have an in-depth understanding of popular trends from comprehensive to detailed. We choose Sina Weibo and 5G themes as visualization examples to demonstrate visualization methods applicable to all social media networks. We used a questionnaire survey to evaluate our visualization model. The analysis result shows that the model is creative, accurate, and easy to understand. In the end, the Social Network Public Emotion Information Visualization Model (SNPEIVM) is put forward.
A Survey On The Constitution Forms Of Library And Information Terms In English And Vietnamese

The article focuses on understanding and examining the constitution forms of library and information terms in English and in Vietnamese.At the same time, the author would like to evaluate the similarities and differences in the method to constitute library and information terms in English as well as in Vietnamese.The results have shown that in both language, most terms are formed by word combination, which is a popular way of word formation and has the largest productive ability of all languages.However, because English is a metamorphic language, so it can be said that the forms of term constitution in English is more diverse.
Ry/Rk-Lex: A Computational Lexicon for Runyankore and Rukiga Languages

Current research in computational linguistics and NLP requires the existence of language resources. Whereas these resources are available for only a few well-resourced languages, there are many languages that have been neglected. Among the neglected and / or under-resourced languages are Runyankore and Rukiga (henceforth referred to as Ry/Rk). In this paper, we report on Ry/Rk-Lex, a moderately large computational lexicon for Ry/Rk that we constructed from various existing data sources. Ry/Rk are two under-resourced Bantu languages with virtually no computational resources. About 9,400 lemmata have been entered so far. Ry/Rk-Lex has been enriched with syntactic and lexical semantic features, with the intent of providing a reference computational lexicon for Ry/Rk in other NLP (1) tasks such as: morphological analysis and generation; part of speech (POS) tagging; named entity recognition (NER); and (2) applications such as: spell and grammar checking; and cross-lingual information retrieval (CLIR). We have used Ry/Rk-Lex to dramatically increase the lexical coverage of previously developed computational resource grammars for Ry/Rk.
THE THE ANALYSIS OF COOPERATION PRINCIPLES USE ON PODCAST OF DEDDY CORBUZIER AND NADIEM MAKARIM “HAVING COLLEGE IS NOT IMPORTANT

This research aimed to describe maxims of cooperation principle on podcast of Deddy Corbuzier and Nadiem Makarim with the theme “Having college is not important”. This research used qualitative descriptive method and pragmatics approach by using the maxim of cooperation principle that explained the principle that are often used by humans in interacting with benefits so that speech is more easily understood by the interlocutor, So the conversation is created that accept each other. In the analysis data the researcher explained the data by describing maxim of quantity, quality, relevance and manner on the podcast. Data source in this research is podcast video of Deddy Corbuzier and Nadiem Makarim that the researcher watched in the Deddy Corbuzier’s you tube podcast with the theme “Having college is not important”.The data are dialogue and the analysis was described descriptively.Data collection technique used in this research by listening and talking technique and note-taking technique while all the conversation between Deddy Corbuzier and Nadiem Makarim are analyzed by using the maxims of cooperation principle. The presenting data by using Data reduction the first stage in this data analysis is data reduction. The goal is to knowing about valid data or not valid and then presentation the data, In presenting data, the data has been reduced will be described in detail and obviously then connected with The relevant theories that would l answer the problem of research and the last, conclusion, the conclusion is made for answer the problem formulation so that it can obtained information about the working principle same in podcast of Deddy Corbuzier and Nadiem Makarim with the theme “Having college is not important. This research result was found 9 data which were 2 maxims of quantity, the maxim that make speaker convey information based on speaker’s question, 1 maxim of quality, 4 maxim of relevance, the maxim that make speaker convey information must be one line with speaker’s question either yes or no, 2 maxims of manner obtained from the maxim of praise included in maxim of manner, while maxim of politeness and generosity included in maxim of manner were not found.
Covid- 19 Pandemic and Anti-Cybercrimes Crusade in Nigeria: Changing the Narratives for a Better Enforcement Regime

Nothing has ravaged the global community in recent times like the dreaded corona virus (COVID -19). The virus, though of Chinese origin was transported into Nigeria through an Italian ship. This paper therefore appraises COVID -19 pandemic and anti-cybercrimes crusade in Nigeria: changing the narratives for a better enforcement regime. The paper trenchantly posits that, COVID-19 pandemic is a blessing in disguise as it brought to fore the underlying ineffectiveness that surrounds Nigeria’s administrative, institutional and legal architecture for combating cybercrimes. It is also the position of the paper that, during the lock-down (occasioned by the pandemic), there was an exponential increase in cases of cybercrimes in the country as a result of poor enforcement mechanisms, corruption, greed, poverty, lack of expertise, unemployment and the skewed undying quest for wealth. The paper makes a case for a total overhauling of the legal and institutional regime for cybercrimes combat so as to be at par with countries such as the United States of America, United Kingdom, China and the United Arab Emirate (UAE). The paper adopts the doctrinal research approach; primary and secondary materials were sourced and used. These materials include statutes, case laws, articles published in reputable journals, reports of renowned bodies, newspapers publication amongst others.
Designing a Model of Technological Entrepreneurship Financing Ecosystem in Knowledge-Based Business Case Study: Information Technology and Communication

The key role of entrepreneurship and knowledge-based firms in the process of economic growth and sustainable development of countries is clear. The main purpose of this study is to design a model of technological entrepreneurship ecosystem in knowledge-based firms (Case study: Information and Communication Technology). The present study is applied in terms of purpose and qualitative in terms of data collection. The statistical population of the research consists of the founders or owners of knowledge-based firms located in Qazvin and Tehran Science and Technology Parks, and the sampling was done purposefully and continued until the researcher's theoretical saturation was reached. Therefore, in-depth interviews were conducted with 15 theoretical (academic) and experimental (practical) experts in this field in a semi-structured manner. In this research, to realize the validity of the research tool, two question writing tools, correcting the questions by experts and finally reviewing the questions by conducting two preliminary interviews have been used. Findings show that organizational components, opportunity recognition, entrepreneurship, entrepreneurship development and transfer, technological entrepreneurship, environmental and managerial components have the most important role by experts with a reliability coefficient of 61%. The results show that universities and other advanced educational institutions are an important source of new knowledge in both technical and entrepreneurial dimensions and play an important role in creating knowledge-based firms.
College Physical Education Teaching Reform under the Background of Sunshine Sports

Sunshine sports is put forward in the social background of the continuous decline of various indicators of College Students' physical health in recent years. The purpose of this paper is to explore the reform of College physical education (PE) under the background of sunshine sports. Starting from paying attention to the cultivation of students' awareness, habit and ability of physical exercise, and adhering to the direction of sustainable development of benefits. In this paper, through PE teaching, students can understand the skills and knowledge of physical exercise, and let students realize the importance of physical exercise. This paper takes the reform of PE in Colleges and universities (CAU) in our province as the research object, and according to the needs of this study, 31 PE teachers and 620 college students from 10 universities in our province are taken as the investigation objects. By using the methods of literature, logical reasoning, expert interview, comparative research, questionnaire survey, mathematical statistics and other research methods, this paper investigates the development of sunshine sports in our province This paper studies the reform of PE in CAU in our province. The results show that 91.4% of the students think that through participating in "Sunshine Sports", they can actively participate in physical exercise, improve their physical quality and promote their health.
Community Language Learning to Improve Students’ Speaking Skill

The aim of this research is to find out the improvement of students’ speaking skill by using community language learning.  Classroom action research was used to conduct this research with 20 participants of students XII IPS-2 at SMA N 2 Siabu in Academic Year 2019/2020. The data were collected from speaking test, observation and interview in cycle one and cycle two. The indicators of students’ speaking skill are measured from accent, grammar, vocabulary, fluency and comprehension. The result of this research showed that the improvement of mean score of the students’ speaking skill from cycle 1 into cycle 2 was categorized into very good category.
Event Classification with Multi-step Machine Learning

The usefulness and value of Multi-step Machine Learning (ML), where a task is organized into connected sub-tasks with known intermediate inference goals, as opposed to a single large model learned end-to-end without intermediate sub-tasks, is presented. Pre-optimized ML models are connected and better performance is obtained by re-optimizing the connected one. The selection of an ML model from several small ML model candidates for each sub-task has been performed by using the idea based on Neural Architecture Search (NAS). In this paper, Differentiable Architecture Search (DARTS) and Single Path One-Shot NAS (SPOS-NAS) are tested, where the construction of loss functions is improved to keep all ML models smoothly learning. Using DARTS and SPOS-NAS as an optimization and selection as well as the connections for multi-step machine learning systems, we find that (1) such a system can quickly and successfully select highly performant model combinations, and (2) the selected models are consistent with baseline algorithms, such as grid search, and their outputs are well controlled.
A Case Study of Learning Personalization in Class Based on Blended Learning with Multimedia Content

The Online courses based on multimedia content mixed with other formats like HTML facilitate personalization in regular classes.Tailor-made applications also help to increase personalization, resulting in a methodology that improves and accelerates learning.Syllabus expansion and a growing volume of exercises support that idea year after year, as learning becomes more and more personalized.Recent research shines a light on the concept of personalization and helps to explain six years of teaching experience in class, where personalization brought benefits, difficulties, and challenges.
Research on SSTI attack defense technology based on instruction set randomization

research-article Research on SSTI attack defense technology based on instruction set randomization Share on Authors: Jiang Wang State Key Laboratory of Mathematical Engineering and Advanced Computing, China State Key Laboratory of Mathematical Engineering and Advanced Computing, ChinaView Profile , Zheng Zhang State Key Laboratory of Mathematical Engineering and Advanced Computing, China State Key Laboratory of Mathematical Engineering and Advanced Computing, ChinaView Profile , Bolin Ma State Key Laboratory of Mathematical Engineering and Advanced Computing, China State Key Laboratory of Mathematical Engineering and Advanced Computing, ChinaView Profile , Yuan Yao State Key Laboratory of Mathematical Engineering and Advanced Computing, China State Key Laboratory of Mathematical Engineering and Advanced Computing, ChinaView Profile , Xinsheng Ji Information Engineering University, China Information Engineering University, ChinaView Profile Authors Info & Claims ICAIIS 2021: 2021 2nd International Conference on Artificial Intelligence and Information SystemsMay 2021 Article No.: 287Pages 1–5https://doi.org/10.1145/3469213.3471315Online:18 August 2021Publication History 0citation12DownloadsMetricsTotal Citations0Total Downloads12Last 12 Months12Last 6 weeks3 Get Citation AlertsNew Citation Alert added!This alert has been successfully added and will be sent to:You will be notified whenever a record that you have chosen has been cited.To manage your alert preferences, click on the button below.Manage my AlertsNew Citation Alert!Please log in to your account Save to BinderSave to BinderCreate a New BinderNameCancelCreateExport CitationPublisher SiteGet Access
Quality Monitoring of School Education and Evaluation Platform Based on Big Data

The Collection and analysis of quality monitoring data of Schools. I consider this data along with combination of effective and efficiency processing of big data and data interpretation, evaluation, and monitor the status of school education and construct a school education quality monitoring and evaluation platform. The platform is teaching centred with schools including system of collecting data, analysis of data, systematic data storage and other areas [1]. With the application of the school education quality monitoring platform, it is possible to understand the current scenario of the development of school education scientifically, and provide the good decision making to the schools administration department.
Badminton Field Booking Application in the Sidoarjo Region based on Android

In sidoarjo area more and more badminton court rental with quality standards that make fans play badminton more and more. in booking badminton courts still use a manual system. Then it takes innovation in technology to help in booking badminton courts. In the creation of the application using waterfall method so that the creation of the application can be completed according to the planning so as to produce the appropriate application. Implementation of the results of the study using android studio software using java programming language and using firebase database as data storage in the application in realtime. Badminton court booking application based on android can provide user convenience in booking badminton court does not have to come to the field. The application has been tested using the black box testing method on all features of the application shows a percentage of 100% so that arguably the application runs well. Similarly, can be seen in the test using the likert scale questionnaire method for UAT results get a result of 85%.
Evaluation of Efficient Data Visualization System for the Assessment of Similar Data Visualization Issues

Data Visualization approaches evaluation is an important task for the software and other industries. Often companies need successful visualisation methods with complex data and criteria that influence business decisions and persuade interested parties. This represents a similar problem in the development of a software prototype for Safety's revolutionary system with the goal of enhancing detection reliability through the use of multiple sensors and requiring an appropriate visualisation tool that meets all needs. The primary objective of the analysis is to analyse and filter the feedback of the current literature with respect to systems functionalities and various methods to explain the crude data with the aid of the developers and other team members. To test visualisation approaches in order to evaluate an effective process, define assessment criteria using corresponding metrics. The findings provide insights into how data visualisation tests for industrial problems can be conducted in real-time and the validation process can be used to evaluate an efficient data visualisation system. This research helps to accurately visualise their data by using similar technologies and offers a scientific approach for the assessment of similar data visualisation issues.
The Effect of Hate Speech Regulation on German Twitter

This paper contributes to the ongoing discussion whether laws to combat online hate speech are needed in addition to internal governance mechanisms of social networks. We analyze the effectiveness of the first regulation aimed at combating hateful speech on online social networks on the language employed on German Twitter. Specifically, we study the effect of the German Network Enforcement Act (NetzDG), a law introduced in January 2018 that facilitates the reporting and obliges the subsequent deletion of hateful content. In a difference-in-differences framework, we compare the prevalence and intensity of hateful content in 160.000 migration related tweets by German and Austrian comparable subgroups before and after the introduction of the law in Germany. We isolate the causal effect of the law on a variety of measures of hateful speech, like identity attacks and severely toxic tweets. Our results show a significant and robust decrease in hate intensity, which is mainly driven by users who employed a relatively toxic language prior to the law. However, the effect sizes are rather small and the user engagement with potentially unlawful tweets significantly increases as a consequence of the law.
A Data Design for Increasing the Usability of Subway Public Data

The public data portal provides various public data created by the government in the form of files and open APIs. In order to increase the usability of public open data, a variety of information should be provided to users and should be convenient to use for users. This requires the structured data design plan of the public data. In this paper, we propose a data design method to improve the usability of the Seoul subway public data. For the study, we first identify some properties of the current subway public data and then classify the data based on these properties. The properties used as classification criteria are stored properties, derived properties, static properties, and dynamic properties. We also analyze the limitations of current data for each property. Based on this analysis, we classify currently used subway public data into code entities, base entities, and history entities and present the improved design of entities according to this classification. In addition, we propose data retrieval functions to increase the utilization of the data. If the data is designed according to the proposed design of this paper, it will be possible to solve the problem of duplication and inconsistency of the data currently used and to implement more structural data. As a result, it can provide more functions for users, which is the basis for increasing usability of subway public data.