Reviewerly/exHarmony huggingface dataset:
Constructing a Fuzzy Model to Predict Math Anxiety

This study aims to construct a fuzzy model for predicting math anxiety by using mathematics self-efficacy and positive attitude towards mathematics as input variables.The model focuses on using fuzzy rules developed by Wang, but is limited to the third step, because the variables are related to human psychology.The data used were taken from senior high schools in Pacitan, East Java.One thousand data were used to build fuzzy rules and 26 data for testing the model.There are three models formed, namely two fuzzy models and one regression model.Model 1 and Model 2 are fuzzy models built using Wang's method until the third step and complete rules, respectively.The MAPE calculation shows that all of the models have good accuracy to predict math anxiety.The MSE shows that Model 1 is the best model among the three models.In addition, based on the standard deviation, Model 1 is the better at controlling uncertainty in the raw data than the regression model.
An Effective Credit Evaluation Mechanism with Softmax Regression and Blockchain in Power IoT

This paper is oriented to the credit investigation scenario of power grid supply chain enterprises and proposes a blockchain user credit assessment method based on improved Softmax regression in Power IoT. This method first designs a credit-rating mechanism that meets industry characteristics based on business needs. Second, it proposes a user credit evaluation model based on the blockchain architecture. Finally, the improved Softmax regression algorithm is used to train the proposed credit evaluation model, which effectively solves the credit rating. The multiclassification problem has achieved the goal of categorizing the credit rating of the enterprise. The simulation results show that the credit evaluation mechanism proposed in this paper can accurately evaluate the multisource credit data that lacks trust foundation and effectively realize the credit rating of power grid material supply chain enterprises. The credit evaluation mechanism proposed for Power IoT in this paper could have high potential for entity identity authentication and rating for securing mobile video communications.
Quantum channel-position finding using single photons

Channel-position finding is the task of determining the location of a single target channel among an ensemble of background channels. It has many potential applications, including quantum sensing, quantum reading, and quantum spectroscopy. In particular, it could allow for simple detection protocols to be extended to ones of measurement, for example, target ranging with quantum illumination. The use of quantum states and entanglement in such protocols has shown to yield quantum advantages over their optimal classical counterparts. Here we consider quantum channel-position finding using sources specified by at most one single photon on average per mode, using the discrete-variable formalism. By considering various quantum sources, it is shown through the derivation of performance bounds that a quantum enhancement may be realized.
The Goof, the Bad and the Ugly: "Indecent" Language Use on Ghanaian Radio

Free speech and media freedoms were reinforced in Ghana with the repeal of the Criminal Libel Law in 2001. As a result, the citizen’s voice, which was hitherto muted, has grown louder as Ghanaians feel emboldened to contribute to national discourse in the media (especially local language radio programmes) without fear of the Criminal Libel Law. However, concerns have been raised about indecent language which has become pervasive in the Ghanaian media. This study examined indecent language on radio in Ghana. The study adopted the quantitative approach and analysed content data gathered from selected Ghanaian radio stations from May, 2016 to September, 2016. This was the period just before the 2016 presidential and parliamentary elections in Ghana. The study revealed six types of indecent language on Ghanaian radio and noted that insults and offensive comments ranked the highest, while expressions promoting divisiveness ranked lowest.
Retweet Prediction Based on Multidimensional Features

With the wide use of artificial intelligence-driven mobile devices, more and more Chinese people take part in the Twitter-like social sites, which makes Weibo an excellent communication platform. In view of the wide application of information diffusion in various fields, Weibo has become one of the most important research issues in mobile social computing. In Weibo, the retweet statuses of tweets of other users are considered to be the key mechanism for spreading information. How to predict whether a tweet will be retweeted by a user has received increasing attention in recent years. Research shows that the users’ retweet behavior is driven by their interest and personality. However, most previous works ignore the roles of users’ personality in their retweet behavior. To this end, a prediction model MDF-RP (multidimensional feature-based retweeting prediction) including personality feature is proposed. The prediction model integrates the features from three dimensions, such as author, tweet, and user. And the personality score is obtained based on the well-known Big Five personality trait model. The experimental results under different classifiers show that the performances of MDF-RP features outperform the basic features. And the experiments of cross-validation also demonstrate the stability of MDF-RP features.
Design and Implementation of SDN IP Based on Open Network Operating System and Border Gateway Protocol

The development of computer network technology in the form of Software Defined Networking (SDN), provides many facilities for users to be able to develop network control applications, which can separate the data plane function from the control plane. The existence of this separation on routers and switches makes it easy for developers to centrally develop software and devices according to what is needed by users. However, there were obstacles to implementing SDN on IP networks in a short time. For this reason, it is necessary to implement SDN in stages by adding SDN to the existing IP network in the form of SDN IP, so that SDN can be connected and exchange routing information autonomously. This study focuses on the design and implementation of SDN IP using the Open Network Operating System (ONOS) on the Border Gateway Protocol (BGP). The results show that the design and implementation of SDN IP based on ONOS and BGP can be done well, where SDN can connect and exchange routing information with the Autonomous System (AS) native BGP-based network.&#x0D; &#x0D; Key word(s):&#x0D; Autonomous System (AS)&#x0D; Border Gateway Protocol (BGP)&#x0D; Open Network Operating System (ONOS)&#x0D; Software-Defined Networking (SDN)&#x0D; SDN IP
Predictive assessment of metallogenic signatures using the DataBase Querying (DBQ) method: A European application

As part of the European-Peruvian ION4RAW project (Horizon 2020 framework programme of the European Commission), which aims at developing mineral-processing technology to recover selected by-products (e.g., Te, Bi, Co, Re, Mo, Pt, Sb, Ge, Se, In) from primary Cu-Ag-Au deposits, we assessed a geographical inventory of selected elements. However, not all elements of economic interest today have been systematically assayed and/or studied in the past, and the existing European databases commonly are incomplete from a 2022 viewpoint. The DataBase Querying (DBQ) geostatistical mineral prospectivity method helps address this gap between potential mineral occurrences and ‘piecemeal’ historical inventories. In addition to a ‘classical’ application of the DBQ method, we developed a new approach. This is based on the assessment of more global predictive metallogenic-signature aspects (e.g., VMS, orogenic, epithermal), by clustering studied elements known to occur in various metallogenic families, using ArcGIS software. Development of this method at a continental scale allowed identifying several areas of great interest in Europe for exploration of the targeted by-products. It also helps in assessing the favourability for the occurrence of commodities that are ‘by-products’ in their parageneses and that were, until recently, rarely reported in geochemical studies.
FIGHTER PLANE ONLINE GAME BASED ON DESIGN SCIENCE RESEARCH METHODOLOGY USING SOCKET.IO AND NODEJS

Computer networks are growing rapidly from time to time, making the internet, websites, web programming languages, and socket programming increasingly used in the provision of information technology-based applications and services. One of them is the availability of web-based online game multiplayer applications involving several players. This paper presents the research results in the form of designing and implementing an online game based on socket programming fighter aircraft on a computer network with a client-server paradigm. This research uses DSRM (Design Science Research Methodology) with seven sequential steps. Game applications are designed using Use Case Diagrams and implemented using JavaScript, Socket.io, and NodeJS. Application testing uses Black Box Testing and User Acceptance Testing (UAT). The results of Black Box Testing show that all features and menus in the game application can run well. In contrast, the results of the UAT with a total of 100 respondents indicate that 60% of respondents said the game was very easy to use, 30% said it was easy to use, and 10% said it was difficult to use.
Improving the quality of teachers’ professional communication in distance learning at higher education institutions, using information and communication technologies

The topicality of the research topic is predefined by an urgent requirement put into place by thecoronavirus pandemic and the need for quarantine measures. The effect of the virus has been seen in thetransition of the existing in-class educational process into online studies. This major shift in education has stimulated the improvement of the system of online studies and communication by means of computertechnology. The aim of this work is to expose problems in educational communication under the conditionsof distance learning, to substantiate the choice and the use of information and communication technologies(ICT) in the solution of educational problems. To select a specific topic for research it is necessary tounderstand the features of professional communication in distance learning, to ground the problems ofeducational communication, to offer the ways of communication and decision-making, and to offer meanssuitable to solve problems in educational communication.While conducting the research, such methods as pedagogical supervision and questioning(questionnaires) were used. Features of teacher-student communication in distance learning, which had thestrongest impact on the character of distance learning, were identified. Also, the advantages and limitations ofwork in such a mode were examined from the point of view of its participants. An empirical study wasundertaken in the form of an electronic questionnaire administered to educators and students of highereducation establishments of different types. Based on the results of the empirical research, the main advantagesand problems of distance learning were distinguished, as were factors that promote or reduce the perception ofquality and mastering of educational materials from the viewpoint of research and teaching staff and students.According to the results of the poll, the basic positive qualities of distance learning are the advantagesof organizational character as well as the use and necessity of capturing modern ІCТ. Basic limitations andfactors that negatively influence perception and learning in distance education are related to complexorganization of teaching activities and educational cooperation and a decline in the perception of quality andmastering of educational materials. The results demonstrated that most problems of the educational processare conditioned by incomplete educational communication in the online mode. The solution of theseproblems is possible to carry out through information and communications technologies and theopportunities they offer.
ESVISIGN: Tanda Tangan Digital Sekolah Vokasi IPB

All activities have been online since the Covid-19 pandemic broke out in Indonesia. IPB also supports government policy by partially locking down the campus area. Administrative activities are also in online mode. Online correspondence activities still require a signature as a form of validity and authentication of the letter. The scanned signature is different from the digital signature. Thus an application was made to create digital signatures. This application is named eSVi sign. This web-based application was made by using Prototype method. Prototype method consists of communication, planning and modeling quickly, making prototypes, submitting the system to users and feedback. This app uses a hash function with SHA256. Each signed document is assigned a hash value which is stored in storage. When the document is verified, the system will look for a hash value that matches the document in the database. The method to test this application was black box testing. This application can be accessed on the https://ipb.link/esvisign. This digital signature is only used within the College of Vocational Studies IPB University.
Why do digital teaching innovations so often fail?

In a dynamic field, university marketing educators ought to harness new digital tools and social media platforms successfully in the curriculum, but evidence of its widespread adoption is meager (Tuten & Marks, 2012).By explicitly investigating exemplars of pedagogic innovation failure, this research paper analyses faculty and digital marketing student perspectives on the use of digital tools and social media for formal learning.This research paper makes a case to dispel the unhelpful narrative of technophobic instructors struggling to teach homogeneous tech savvy digital natives, but to recognise a nuanced continuum of digital capabilities, for both students and instructors.Educators should seek to collaborate with students to choose how they interact using digital tools, recognising the importance and diversity of public-private boundaries and consider the need for this to take place beyond the gaze of faculty.
The Solutions of SQL Injection Vulnerability in Web Application Security

Web Applications are commonly using all the services made available online. The rapid development of the Internet of Things (IOT), all the organizations provides their services and controlled through an online, like online transaction of money, business transaction of buying and selling the products, healthcare services, military and GPS Systems. Web application development and maintenance is very difficult based on the security. Attacks are many forms to stealing the secure, personal information and privacy data. There is one major open source community Open Web Application Security Project (OWASP) providing information, development and validation of web application projects to make application to be secure. This research work, discussing few of the solutions, detection and prevention methods of Injection risk out of the top 10 OWASP risks. Due to the injection risk, impact on business that may lead to loss of information, unauthorized access of personal and secure information.
Use of Electronic Code Book (Ecb) Algorithm in File Security

Electronic communication such as sms, e-mail, chat, web, e-banking is a commonly used communication tool today. To prevent the misuse of such data by other parties, a good data security system is required. Cryptography is a way of securing data that aims to maintain the confidentiality of the information contained in the data, so that the data information can not be known by unauthorized parties. In maintaining the confidentiality of information, cryptography encodes plaintext data into an unrecognizable form of password data (chipertext), and although others later obtain the data, it cannot understand its contentsElectronic communication such as sms, e-mail, chat, web, e-banking is a commonly used communication tool today. To prevent the misuse of such data by other parties, a good data security system is required. Cryptography is a way of securing data that aims to maintain the confidentiality of the information contained in the data, so that the data information can not be known by unauthorized parties. In maintaining the confidentiality of information, cryptography encodes plaintext data into an unrecognizable form of password data (chipertext), and although others later obtain the data, it cannot understand its contents
THE TRANSDISCIPLINARY AS AN EDUCATIONAL PARADIGM OF THE FUTURE

The paper highlights the problem of transdisciplinarity as an educational paradigm of the future. The necessity of introducing transdisciplinarity into education substantiated. Examples of the implementation of transdisciplinarity at school through STEM / STEAM project activities are given. The experience of the Republic of Moldova in solving this problem is described. Examples of possible ways of integrating school disciplines are given. It is concluded that the introduction of the educational paradigm of transdisciplinarity will effectively contribute to improving the quality of education and the formation / development of key competences.
Students’ Perception in Using E-Learning for English Writing Activity

Applying of Information Communication and Technology (ICT) has played a major part in educational system.Besides, the canvas of English language teaching has also experienced in emerging technology into the classroom since it provides the platform to develop students' second language learning.The kinds of application through computers and smartphones have many applied by educators as the strategies and approaches in language teaching and learning, including for writing skill.Since writing is argued as one of difficult skill which needs some processes, emerging the technology can be one of choices for a new writing learning that is able to enhance students' writing performance.Today, E-Learning application is one of platform that has been many used by educational institution.E-Learning facilitates some features that can be also applied for language learning purposes.Thus, this paper aims to give the overview about students' perception in using E-Learning for writing learning application since it provides the platform for writing activity.A descriptive research is employed and there are 22 students of third semester at English Education Study Program of Universitas Negeri Padang as the respondents.The data of the research are obtained through the questionnaire and interview.The result showed that the majority of the students share positive perception towards the using E-Learning for writing activity.
Expert System Diagnosing Anxiety Disorder Using Based Naïve Bayes Method

Psychological problems such as Anxiety Disorder have become a common problem in the world. Most sufferers of this disease are under 45 years old on average and usually this disorder often attacks the mentality of women. However, this disease is often considered trivial and not many sufferers realize it. Not to mention the handling of course requires quite a lot of money. Another thing is the lack of information about this disease, which causes the risk of sufferers of Anxiety Disorder to increase every year. To solve existing problems, it can be solved by using computer technology in the health sector that can diagnose a disease like an expert, namely an expert system application disease symptoms. The purpose of this study is as a first step to treat this disorder as quickly as possible. The application of the Naïve Bayes method plays a role in being able to provide diagnostic results because the Naïve Bayes method is considered capable of providing the largest clarification of the value of v based on the selected symptoms.
A Region-based Compression Technique for Medical Image Compression using Principal Component Analysis (PCA)

Region-based compressiontechnique is particularly useful for radiological archiving system as it allows diagnostically important regions to be compressed with near lossless quality while the non-diagnostically important regions (NROI) to be compressed at lossy quality.In this paper, we present a region-based compression technique tailored for MRI brain scans.In the proposed technique termed as automated arbitrary PCA (AAPCA), an automatic segmentation based on brain symmetrical property is used to separate the ROI from the background.The arbitrary-shape ROI is then compressed by block-to-row PCA algorithm (BTRPCA) based on a factorization approach.The ROI is optimally compressed with lower compression rate while the NROI is compressed with higher compression rate.The proposed technique achieves satisfactory segmentation performance.The subjective and objective evaluation performed confirmed that the proposed technique achieves better performance metrics (PSNR and CoC) and higher overall compression rate.The experimental results also demonstrated that the proposed technique is more superior to various state-of-the-art compression methods.
The Effectiveness of CATA Software in Exploring the Significance of Modal Verbs in Large Data Texts

This paper investigates the effectiveness of using and applying CATA (Computer-Aided Text Analysis) software in exploring the extent to which particular modals are significant in communicating the ideological and thematic messages of literary discourse.More specifically, the paper attempts to test the hypothesis that CATA software, including FDA (Frequency Distribution Analysis), KWICK (Key Word in Context), CA (Content Analysis), and TDA (Thematic Distribution Analysis) are effectively helpful in the linguistic and ideological analysis of modals in literary texts.To this end, the paper uses the frequency distribution analysis (FDA) and applies it to Edward Bond's Lear as a sample representing literary texts.Two modal verbs were selected to be computationally analyzed by means of the frequency distribution analysis in order to decode the different ideologies they carry in the discourse of the selected play.These are will and must.These modal verbs were computationally displayed within their contextual, total and indicative occurrences in the play under investigation to demonstrate the way they convey particular ideologies.Findings revealed that CATA software represented in its variable of FDA is highly contributive to communicating ideologies in the play under investigation.The paper further demonstrated two findings: first, via CATA software, analysts can easily arrive at the ideological significance of the various classes of words, including modal verbs that are used in literary texts; and, second, the analysis showed that only a few occurrences out of the total number of frequencies of the modal verbs at hand are indicative in conveying the hidden ideologies of their users.