Reviewerly/exHarmony huggingface dataset:
A Comparative Study Between Rule-Based and Transformer-Based Election Prediction Approaches: 2020 US Presidential Election as a Use Case

Social media platforms (SMPs) attracted people from all over the world for they allow them to discuss and share their opinions about any topic including politics. The comprehensive use of these SMPs has radically transformed new-fangled politics. Election campaigns and political discussions are increasingly held on these SMPs. Studying these discussions aids in predicting the outcomes of any political event. In this study, we analyze and predict the 2020 US Presidential Election using Twitter data. Almost 2.5 million tweets are collected and categorized into Location-considered (LC) (USA only), and Location-unconsidered (LUC) (either location not mentioned or out of USA). Two different sentiment analysis (SA) approaches are employed: dictionary-based SA, and transformers-based SA. We investigated if the deployment of deep learning techniques can improve prediction accuracy. Furthermore, we predict a vote-share for each candidate at LC and LUC levels. Afterward, the predicted results are compared with the five polls' predicted results as well as the real results of the election. The results show that dictionary-based SA outperformed all the five polls' predicted results including the transformers with MAE 0.85 at LC and LUC levels, and RMSE 0.867 and 0.858 at LC and LUC levels.
Unboundedness of Linear Regions of Deep ReLU Neural Networks

Recent work concerning adversarial attacks on ReLU neural networks has shown that unbounded regions and regions with a sufficiently large volume can be prone to containing adversarial samples. Finding the representation of linear regions and identifying their properties are challenging tasks. In practice, one works with deep neural networks and high-dimensional input data that leads to polytopes represented by an extensive number of inequalities, and hence demanding high computational resources. The approach should be scalable, feasible and numerically stable. We discuss an algorithm that finds the H-representation of each region of a neural network and identifies if the region is bounded or not.
Sending Spies as Insurance Against Bitcoin Pool Mining Block Withholding Attacks

Theoretical studies show that a block withholding attack is a considerable weakness of pool mining in Proof-of-Work consensus networks. Several defense mechanisms against the attack have been proposed in the past with a novel approach of sending sensors suggested by Lee and Kim in 2019. In this work we extend their approach by including mutual attacks of multiple pools as well as a deposit system for miners forming a pool. In our analysis we show that block withholding attacks can be made economically irrational when miners joining a pool are required to provide deposits to participate which can be confiscated in case of malicious behavior. We investigate minimal thresholds and optimal deposit requirements for various scenarios and conclude that this defense mechanism is only successful, when collected deposits are not redistributed to the miners.
A Lifecycle Framework for Semantic Web Machine Learning Systems

Semantic Web Machine Learning Systems (SWeMLS) characterise applications, which combine symbolic and subsymbolic components in innovative ways. Such hybrid systems are expected to benefit from both domains and reach new performance levels for complex tasks. While existing taxonomies in this field focus on building blocks and patterns for describing the interaction within the final systems, typical lifecycles describing the steps of the entire development process have not yet been introduced. Thus, we present our SWeMLS lifecycle framework, providing a unified view on Semantic Web, Machine Learning, and their interaction in a SWeMLS. We further apply the framework in a case study based on three systems, described in literature. This work should facilitate the understanding, planning, and communication of SWeMLS designs and process views.
A Systematic Literature Review on Relationship Between Internet Usage Behavior and Internet QoS in Campus

The Internet user population has drastically increased for many years. The Internet usage behavior and the Internet Quality of Service (QoS) are relatively used in most discussions about Internet users’ experience and satisfaction. Even though much research has been done to improve the Internet QoS without jeopardizing the user experience, there is still a lack of studies to identify the relationship between both elements. This paper aims to conduct a systematic literature review of the relationship between Internet usage behavior and Internet QoS on campus. For this purpose, some literature search was conducted in several databases such as ACM, IEEE Explore, and Scopus. There were 47 articles selected and 36 articles met the inclusion criteria. The results show direct and indirect relationships between Internet usage, user behavior, and Internet QoS on campus. Based on these results, component variables for constructing an Internet usage behavior model on campus are proposed, and a set of direct and indirect relationships between these variables. This study complements the few previous investigations of these collaborative relationships.
Immersive ERP Experiment Based on 3D-Reconstruction Model of Panoramic Images

This study extends the application field of VR technology, and studies on the physical image problem of inventory management in ERP immersive experiment under VR technology, using the SSD block matching algorithm and the panoramic image in-depth information extraction algorithm to extract the two-dimensional in-depth information in the panoramic images. Then we reconstructed the object in 3D. The results show that the image reconstructed in 3D is clearer, more stereoscopic, and interactive, which solve the problems of low resolution, distortion, and low interaction in ERP virtual teaching environment, while using multimedia and camera roaming to enhance students’ immersive experience, achieve high-precision, real scene, better virtual teaching environment interaction. It can be seen that the immersive ERP experiment based on VR technology is conducive to improving students ’professional ability and docking ability, as well as improving students’ overall cognitive ability and operation ability of the ERP system.
The Study on Characteristics of Precipitation and Its Return Period Calculation in Wuhan in Recent 30 Years Based on Data Analysis

Meteorological big data has a wide geographical range, large space-time density, many data types and strong timeliness. It has become the requirement of the development of meteorological industry to quickly extract huge information and knowledge from big data to solve the problem of weather prediction. Based on the measured data of maximum one-hour rainfall from six representative rainfall stations in Wuhan from 1992 to 2021, the variation law, characteristic analysis and return period of different aging precipitation in Wuhan city in the past 30 years are analyzed. The results show that although the number of days of precipitation in Wuhan has increased year by year in the past 30 years, the days of rainstorm and more than rainstorm generally show a decreasing trend. The precipitation is mainly concentrated in spring (March-May) and summer (June-August), with the most in summer. The monthly precipitation is mainly concentrated in July, with the least precipitation in December. The maximum daily precipitation is between 55.1∼285.7mm, and the average maximum hourly precipitation of 122.4mm reaches 98.6mm. At last, based on the parameters of GEV distribution, the maximum hourly precipitation, maximum 3h, 6h, 12h, 24h precipitation, continuous hourly precipitation, maximum daily precipitation and maximum continuous daily precipitation are fitted, and the values of different recurrence periods are estimated.
Investigation and Analysis for Self-Directed Learning of Backbone Teachers in Primary and Middle Schools

Purpose: to discuss about the self-directed learning readiness of backbone teachers in primary and middle schools, and its relationship with their learning effectiveness. Methods: “scales for teachers’ self-directed learning readiness” and “questionnaires about teachers’ in-service training effects” were conducted on 592 primary and middle school backbone teachers who were receiving National Teacher Training Program. Results: The self-directed learning readiness of primary and middle school backbone teachers is commonly high; the readiness differs in different genders, teaching ages, and between rural and urban areas; there is significant positive correlation between the teachers’ self-directed learning readiness and their learning effectiveness. Enlightenment: Supportive system for self-directed learning should be created, to encourage and lead backbone teachers in primary and middle schools to achieve self-directed learning with high efficiency.
The price prediction for cryptocurrency based on the state-of-art machine learning approaches

Cryptocurrency has evolved from a fringe phenomenon to a far more popular method of investing and financing. For investors and traders, predicting the price of bitcoin is critical. Several machine learning algorithms are utilized to anticipate the price of digital money in this research paper. The analysis employed Decision Trees, Light Gradient Boosting Machines, and Neural Networks. The purpose of this study is to look at the predicted accuracy of each machine learning method. According to the analysis, decision tree, lightGBM, and neural networks have a very high accuracy rate when it comes to forecasting cryptocurrencies. These results shed light on guiding further exploration to help investors in building an appropriate digital currency portfolio and reducing risks.
PENERAPAN METODE USER CENTERED DESIGN (UCD) PADA SISTEM PEMESANAN MENU KULINER NUSANTARA BERBASIS MOBILE ANDROID

The use of the Android platform for software / application development is not only easier to use, because Android that has flexibility is a reason. Rendang Daging is a typical food of the city of Padang, besides it tastes savory and has a taste that is very different from other processed foods, which makes the food rendang a favorite of many people around the world. It is unfortunate if only rendang is the favorite processed food menu, while in Indonesia there are still many processed menus that are very tasty and special. Information about the menu of typical Indonesian processed foods will be much better known and desirable when given a place to exchange information about these things in the form of information systems. To get an information system that meets user expectations, special methods are needed. (UCD) is a User-Centered Design method which is a user-oriented method. UCD design is used to provide benefits to support the information system for people from home and abroad so that it will be more attractive for foreign and domestic tourists to visit Indonesia for a vacation or just want to enjoy the typical food of the archipelago. In addition, it can also help the system of selling processed foods typical of the archipelago.
PENERAPAN DATA MINING DENGAN ASSOCIATION RULES UNTUK MELIHAT HUBUNGAN TERTANGGUNG, PEMILIHAN PRODUK DAN PERILAKU NASABAH (Studi Kasus: PT. Prudential Life Assurance)

The world of insurance business that is full of competition makes the perpetrators must always think about breakthrough strategies that can guarantee the continuity of their insurance business. One of the main assets owned by insurance companies is business data in an extraordinary amount.Data mining is a new technology that is very useful to help insurance companies find very important information from business data as the main asset they have. Data mining can predict trends and traits of business behavior that are very useful to support important decision making. Automated analysis carried out by data mining exceeds that carried out by traditional support systems. Apriori and FP-Growth are the most famous algorithms for finding high frequency patterns, these algorithms are part of the Rule Association used in this study.
ANALISA STRATEGI SISTEM INFORMASI MENGGUNAKAN PENDEKATAN METODESWOT DI BANDUNGINSIGHT

Bandung Insight is a company that has just been established in mid 2018, and has just begun in the field of information systems. For a new company, and of course there are still many shortcomings in various fields. And according to the observations of the author, the system that is used today is just working alternately, because it has not found the right information system that will be used in the future.In this system, data retrieval uses survey methods in collecting and processing information data to contain an overview of the situation in the object of the studies. As for the design of the information system, the author tries to use the SWOT analysis approach. Why? Because the reasoning of this system will be useful if its implementation is in accordance with the goals, vision and mission of the company by implementing information strategies and business strategies.
PENGELOMPOKAN BIDANG LAJU PERTUMBUHAN EKONOMI INDONESIA MENGGUNAKAN ALGORITMA K-MEANS

Indonesian is one of countries with economic development in the very good category. Economic growth is seen from several supporting fields, Indonesia has a lot of excess natural resources, which can support the economy compared to other countries. But the problem faced is the lack of maximum management of the economy, Indonesia has economic support categorized into 17 fields. Among the fields not in the same development because they are still stuck in one area, it turns out that Indonesia has all the potential to improve all fields. To increase the growth of all fields, the government must have correct, accurate and relevant data to group these fields. In this study using the Decision Tree algorithm to classify fields supporting economic growth automatically. The grouping results into three classes, namely high, medium, low. After the research was conducted the results were that the high category group was Mining and Excavation, Construction, transportation and warehousing, Provosion of accommodation and food Drinking, Information and Communication, Financial Services and Insurance, Real Estate, Educational Services, Health Services and Social Activities, medium groups were Procurement of Electricity and Gas, Company Services and low-income groups are in the fields of Agriculture, Forestry, and Fisheries, Processing Industry, water supply , waste management, Waste and Recycling, large Trade and retail, car and motorcycle repair, Government Administration, Defense and Compulsory Social Security, Other Services.
Perbandingan Algoritme Klasifikasi Untuk Prediksi Cuaca

Weather conditions is an air condition in a place with a relatively short time, which is expressed by the value of parameters such as temperature, wind speed, pressure, rainfall, which is another atmospheric phenomenon as the main component. Human activities can be influenced by weather conditions, such as transportation, agriculture, plantation, construction or even sports. Therefore, for determining the weather, getting weather information needs to be made so that it can be utilized by the community. Problems that arise how to make weather predictions automatically so that it can be done by everyone. In this study proposed several algorithms Navie Bayes, Decision Tree, Random Forest to calculate the opportunities of one class from each of the existing group attributes and determine which class is the most optimal, meaning that grouping can be done based on the categories that users enter in the application. The prediction system has been made to obtain an accuracy rate of Navie Bayes of 77.22% with a standard deviation of 29%, a Decision Tree accuracy rate of 79.46% with a standard deviation of 15%, a random forest accuracy rate of 82.38% with a standard deviation of 43%.
Pengembangan Sistem Informasi Pelayanan Kependudukan di Kecamatan Cibeunying Kidul

Cibeunying Kidul District is a government agency that has implemented a computerized population data recording system in its work, such as at the time of applying for a KK and KTP, only some still use the manual method, namely when applying for incoming and outgoing moving letters. The process of recording data manually in a ledger provided directly by service officers. This of course makes time inefficient, because the data recording process takes a long time.The Population Service Information System Design Solution is quite effective and efficient in the process of recording data in the KK registration book, KTP, Transfer Letter and Letter of Moving Out. It is hoped that after implementing this solution service officers can undergo a fast, precise, and accurate community service process.
Perancangan Enterprise Architecture Media Informasi Dinas Kebakaran dan Penanggulangan Bencana Kota Bandung

In the use of information technology in an organization, it is very necessary, especially for large organizations such as the Fire and Disaster Management Agency (DKPB). Guidelines for the Management of Information and Documentation Services in the Bandung City Government that are currently running have not utilized technology in the process of activities carried out by the DKPB. In practice, not a few information system developments fail, this is because they are not in accordance with the direction of goals and needs such as information systems should be built without referring to the provisions contained in Bandung Mayor Regulation No. 1340 of 2017 concerning public information. One of them is the use of internet technology as a medium of information. The purpose of this research is to provide input on the benefits of developing an architecture that can participate in advancing the management of information and documentation services at DKPB. Enterprise architecture planning is modeling the system using the Unified Modeling Language (UML). The result of this design is a web-based application that provides information on official profiles, news, report galleries, services or contact us. It is hoped that this application can become one of the websites of the Fire and Disaster Management Service which can also be used by the public/users. The provision of web-based DKPB information will make it easier to obtain information and provide reports on current events. It is hoped that the public can use information media to obtain the required DKPB information.
Pengembangan Aplikasi Pengolahan Data Penilaian Peserta Praktek Kerja Lapangan di Dinas Perpustakaan dan Kearsipan Daerah Provinsi Jawa Barat

Field work practices at the Library and Archival Office of West Java Province are currently still done manually, namely by way of guidance provides value written on the value information paper submitted to the coordinator to then be entered into data processing applications such as Microsoft word and excel, Also correcting post prekerin examinations that are done manually by equating the answer with the answer kuci printed on paper, so it takes a long time and involves many parties in working on it. The method of system development used is the waterfall method. This method includes stages namely Analysis and definition, system and software design, unit implementation and testing, system integration and testing, and system operation and maintenance. The system uses XAMPP as a web server for system design and MySQL as a database. The result of this research is the Application of Data Processing Of Participants Field Work Practices that make certificates automatically stamped that can minimize miscalculation in the accumulation of value obtained, in addition to minimizing resources are also able to provide access to the presentation of information quickly.
Development of the university's innovation assessment system at the national level

The paper examines approaches to the assessment of innovation activity of Russian universities and concludes that there is no unified assessment methodology and a set of relevant indicators. As a single assessment tool at the state level, it is proposed to use Monitoring the effectiveness of the activities of educational institutions of higher education. For these purposes, the author proposes to allocate an independent block of indicators in the monitoring structure that reflect the innovative activity of the university as comprehensively as possible. At the same time, part of the indicators should be transferred from the Monitoring section on the evaluation of research activities. The author supports the approach of forming a set of indicators for assessing innovation activity in three areas innovation potential, innovation activity and the effectiveness of innovation activity. At the same time, based on the legislatively fixed concept of innovation activity, the author of the article suggests that when choosing indicators for assessing innovation activity, include only indicators reflecting the effects (primarily economic) of the implementation of innovative projects and the creation (development) of innovation infrastructure. Based on the results of the analysis of currently available indicators in Monitoring, the author proposes to include additional 14 indicators in the assessment of the university's innovation activity, distributing them into the above groups, which will allow the most comprehensive assessment of this area of activity of Russian universities and conduct correct comparisons with other universities, regardless of their size.
Analysis of factors of formation of motivation of university students to research activities in the field of innovation

The article presents the results of a sociological study on the formation of university students' motivation for research activities on the example of the experience of Samara National Research University. Internal and external motives and conditions for doing research work of students are considered and identified. The key task of training modern specialists is to form students' readiness for research activities. Important aspects in the training of young professionals are theoretical and practical research. The latest methods and forms of preparing students for scientific work in the field of innovation are likely to provide a deeper combination of theory and practice and, as a result, improve the quality of graduate training. Readiness for research work includes several components: motivational, orientational, activity, reflective component. In this paper, emphasis is placed on the first component motivational, which characterizes the interest in cognition and the motivation of research activities. To motivate students to scientific work in the field of innovation means to touch on their interests, current needs, and also provide an opportunity to express themselves in the innovation field. On the basis of the study, recommendations are given on the organization of research activities of students.