Reviewerly/exHarmony huggingface dataset:
Multifunction Yoga Mat / Wan Nur Mawaddah Wan Rusli

Kugona Enterprise is a company that sells sports product and equipment. Most of the products were create to those who are usually involves in physical activity. One of our products is Multifunction Yoga Mat. This Multifunction Yoga Mat eases peoples where the yoga mat is attached with the speaker and also electronic devices holder. Target market for this Multifunction Yoga Mat is created for sports person and Yoga practitioner. This product could attract interest of people to buy because as for now, there is no yoga mat that attached with the speaker and electronic devices as what we created and innovate. We also provide mat strap to ease the customer to carry the mat. This product will give many benefits to athlete, coach and yoga practitioner who have problems or difficulties during performing physical activity. This product will lessen their burden because they don’t need to bring a big speaker and they can put their electronic devices at the holder while they following the demo in the smartphone. We offer the best and cheapest price for our potential customer. We will ensure that everyone will afford to buy this product.
Optimal feature selection with Random Forest Classifier for Lymph Diseases Prediction using Particle Swarm Optimization

ML-based approaches to data classification can be used in various areas such as healthcare, disease prediction, etc. as a decision-making tool. Most of the medical data currently comprise high-dimensionality nature FS (FS) methodologies are sometimes used to improvise the classification results, particularly for high-dimensionality issues, by extracting more determined characteristics from the appropriate training instances. This paper tried to study the application of FS approaches to the performance of the classifier. Genetic algorithm and particle swarm optimization (PSO) algorithm are used for FS, while random forest (RF) classifier is used for dataset classification of lymph diseases. GA and PSO are used to decrease the feature subset in the first stage and the RF classifier is used in the second stage. It is evident from the experimentation portion that the PSO-based FS increases the results of the classifier compared to GA-based FS. It is also studied that the FS process improvises the outcomes of the classifier in a significant way in various performance measures.
A Study on Learner Characteristics of Elementary and Secondary Technology Education for AI-Based Individualized Learning

이 연구의 목적은 초·중등 기술 교육의 학습자 특성 연구를 고찰하여 AI 기반 개별화 학습을 위한 시사점을 얻는 데 있었다. 이를 위해 체계적 문헌 고찰을 통하여 연구를 진행하였으며 1999년부터 2020년까지의 관련 국내 연구물 중 최종 76편의 연구를 선정하여 분석하였다. 연구 결과 기술교육에서 학습자 특성 관련 국내 문헌은 1999년 2편, 2000년 2편, 2008년 5편, 2013년 7편, 2020년 9편 등 점차 증가되는 경향을 보였다. 연구물에서 다루어지고 있는 학습자 특성의 주제는 기술적 문제해결, 기술적 사고, 발명 및 창의, 태도, 학습자 능력, 두뇌 이론, 메타인지, 성격 유형, 인지 양식 등이었다. 연구 결과를 토대로 한 연구의 결론은 다음과 같다. 첫째, 초·중등 기술교육의 학습자 특성 국내 연구의 연도 별 연구 수가 대체로 완만한 증가의 추세를 보이고 있음에 따라 기술 교육 분야에서도 개별화 학습에 대한 관심도가 강화되고 있는 추세임을 알 수 있었다. 둘？？, 연구 결과 분석된 학습자 특성은 인지·정의·심리운동적 영역을 고루 고려하고 있었으며 이를 측정할 수 있는 검사도구 및 측정요소가 언급되어 있는 경우가 많았다. 이러한 검사도구는 AI 기반 개별화 학습에 직접적으로 활용될 수 있으며 관련 학습자 특성은 AI 기반 개별화 학습 설계의 요소로 고려될 수 있다. 셋째, 검사도구를 AI 기반 개별화 학습에 활용하기 위한 구체적 방법은 학습 단계에 따른 활용, 인지&#65381;정의·심리운동·메타인지 등 중점적으로 고려하고자 하는 영역에의 활용, 정서적·감정적 피드백에의 활용, 계획된 의도적 불일치의 교육 설계 등이다.The purpose of this study was to examine the study of learner characteristics in elementary and secondary technology education to obtain implications for AI-based individualized learning. To this end, the study was conducted through systematic literature reviews, and the final 76 studies were selected and analyzed among the related domestic studies from 1999 to 2020. As a result of the analysis, it was found that the number of studies by year showed a gradual increase in general, and that relatively balanced studies were being conducted at elementary and secondary school levels. In addition, as a result of examining the detailed contents of learner characteristics considered in the research, the characteristics of learners that reflect the characteristics of technology education are technological problem solving, technological thinking, invention and creativity, attitude and learner ability. General learner characteristics include brain theory and meta-cognition. The method of using learner characteristics derived from the research results for AI-based individualized learning is the use of learner characteristics according to the learning stage, and the use in the domains that need focus on, such as cognitive, affective, psychomotor and metacognition. It was the use of the school, and the educational design planned intentionally in contrary to the characteristics of the learner. Based on these findings and implications, it is suggested that a detailed curriculum development study for AI-based individualized learning in elementary and secondary technology education will be conducted in the future, and a follow-up study on the specific methods to implement AI-based individualized learning will be conducted.
Het uitwisselen van onderzoeksgegevens: belangen en barrières

Data sharing: interests, impediments and restrictions. The sharing of data is of increasing importance. Data sharing platforms are currently built, aiming to make data more findable, accessible, interoperable and reusable. These platforms are, however, unable to address non-technical factors that may influence data sharing. Various factors, such as the desire to avoid reputational damage, ensuring a correct interpretation of data, loss of control, short-term grant cycles, the opportunity costs of data sharing, faulty recognition systems that do not reward the production of high-quality data itself, ethical and legal restrictions, can constitute impediments for data sharing. The role that platforms fulfill, will depend on the common vision on the fundamental rules surrounding data sharing and scientific competition. If a system of collective ownership is pursued, including guaranteed access to data under specific circumstances, an appropriate science policy should undergird data sharing platforms.
Human Voice Recognition Using Artificial Neural Networks

Sound is one of the unique and distinguishable parts of the human body. Voice recognition technology is one of biometric technology that does not require much cost and does not require specialized equipment. One of the techniques of speech recognition is with artificial neural networks, where this method uses a working principle similar to the workings of the human brain. This thesis aims to apply artificial neural networks to voice recognition and create programs that simulate this method using Matlab 7.1 software.The data used in the form of sound recordings are converted into numerical values with the Linear Predictive Coding process. The steps taken in Linear Predictive Coding include Pre-emphasis process, frame blocking, windowing Autocorrelation Analysis, Linear Predictive Coding Analysis, and change the Linear Predictive Coding parameter to the cepstral coefficient. This cepstral coefficient is a series of observations used as inputs on artificial neural networks, and will also be used for the training and testing process. In this research, artificial neural network architecture used is Learning Vector Quantization. In the process of Learning Vector Quantization neural network training using data as many as 35 votes, with learning rate 0.01, max depth 100, dec alpha 0.02 and min alpha 0,00001. Validation test results for 15 votes, obtained the conclusion that 73.34% of all validation votes successfully recognized..
Blockchain Technology: A Panacea for Corruption in Nigerian Government Financial Processes

Government financial processes in Nigeria are known to lack credibility mostly because there is centralization, manipulation of accounts and lack of trust between the government officials and the citizens of Nigeria.Attempts to end or at least reduce corrupt government practices have failed miserably mostly because most processes are still manual or use systems that can be manipulated easily.Nigeria has vastly turned to spiritual mentorship, activists and whistle-blowers to curb government financial corrupt practices.However, there have been limited attempts in applying technology to solve this delicate issue.In this study the missing application of technology, that is, the application of block chain which is referred to as the technology of trust will be the in-depth focus, investigating the state-of-the-art of block chain technology, its applications and challenges of using block chain technology and providing suggestions for handling finance of the government to eradicate corruption.The study draws its data from a review of literature on major applications of block chain, data, interviews and annual reports of Nigerian government agencies and bodies.The thesis argues that block chain technology can reduce corrupt government practices and easily track all financial government processes.Thus, government should apply this technology.It also suggests, implementation models and processes.It is also concluded that the implementation of blockchain on government accounts would reduce corruption and make all transactions decentralized, unchangeable, unforgeable and highly trackable.
Designing a School Learning Development Environment: Technological Aspects

Nowadays modern education system is at a stage of active transformation. The transition from the old school model to a new one under conditions of uncertainty and rapid changes experienced by all areas in the real world (VUCA-world) calls for revising the role of education and requires new approaches in order to improve the interaction of participants involved in the educational process (teacher and students). The specific of such interaction is to shape a set of cultural techniques which include thinking, multi-positional communication and practical actions. The article presents some aspects of designing a new type of school learning environment, namely, learning and technological development environment. The results of the project activities carried out by the teaching staff of the Educational Complex "Nasha Shkola" (Novosibirsk) whose responsibility was to create such environment is the development of special models. Models represented in this paper deal with the technology of the learning situation construction and they are considered as normative and technological units of educational content acquisition with focus on the teacher’s role as well as on the organization, complex testing and the technology correction which can be done through inter-positional spaces of educational process support.
The Application of Binaural System on Virtual Reality Technology Through the Animation of Wayang Kulit Yogyakarta Performance

Binaural system is an audio technology which relatively easy to apply these days. This was due to the growth in technology developments of the audio recording system. The application of this system is not well known in Indonesia. This was aligned with public assumption where Wayang Kulit performance are one of many unappreciated forms of arts in Indonesia. The main problem that occurred is that whether the binaural system conjoined with the Virtual Reality (VR) System can make the public more appreciate the art form of Indonesian Wayang Kulit. By using the theory of perception conjoin with the binaural technology, it can be assumed that the audience can have a new experience from the performance through the VR thus elevating their appreciation for the art itself. This research will be divided into three stages. The first stage focused on the application of the binaural system on Wayang Kulit Animation through VR system. The second stage will focus on the product assessment whether it can elevate the appreciation of the audience for the art itself. The third stage will focus on applying the binaural system on other Indonesian art form. This year, the research will begin at the first stage.
Development of 7 Learning Style Inventory Korean Version for IT Major Students

This study is to develop Korean version of the 7 Learning Style Inventory(LSI) for IT major Students by systematic translation process and to test learning style of IT major University students. Translated and developed Korean version of LSI was verified of validity by comparing with existing V.A.K. learning style model. We can develop various tactics for 7 learning styles of students. Once the learning style of each student is confirmed, customized teaching for individual and team can be done more efficiently through teaching and learning strategies according to each learning style. Developed LSI was applied to the IT major students of two classes from Chungwoon University in Incheon. Results of LSI survey show that learning styles of 24 students out of 35 students from two classes are matched with V.A.K. learning styles of same students. It was 68.6% match in learning style, and shows that validity of 7 LSI. We need to elaborate Korean questionnaires of the LSI more, and extend and apply to the non-IT major students group.
Latent Profile Types by Career Aspiration, Person-Organization Fit, Person-Job Fit, and Major Relevance and Group Differences in Intention to Stay of Engineering Graduates

본 연구는 공과대학 졸업생들의 진로포부, 직무적합성, 조직적합성, 전공연관성에 따른 잠재프로파일 유형을 확인하고, 각 유형에 따른 잔류의도의 차이를 검증하기 위해 이루어졌다. 이를 위해 잠재프로파일분석을 실시하고, 잠재프로파일 유형의 따른 직장 잔류의도의 차이를 확인하고자 일원분산분석을 실시하였다. 연구를 위해 2019년 한 대학의 졸업생 취업실태조사에서 수집한 자료를 조사 담당자의 동의를 얻어 사용하였다. 이 조사는 졸업 후 5년 이내의 졸업생들을 대상으로 이루어졌으며, 본 연구에서는 전체 응답자 중 현재 직장에 재직 중이며, 전공에 공학계열으로 답한 477명의 자료를 사용하였다. 본 연구의 주요 결과는 다음과 같다. 첫째, 잠재프로파일분석을 한 결과 4개의 잠재프로파일 유형(낮은 포부-매우 낮은 적합성, 낮은 포부-낮은 적합성, 높은 포부-높은 적합성, 높은 포부-매우 높은 적합성)이 확인되었다. 둘째, 4개의 잠재프로파일은 잔류의도에 유의미한 차이가 있었다. 잔류의도는 높은 포부-매우 높은 적합성 집단이 가장 높았고, 높은 포부-높은 적합성, 낮은 포부-낮은 적합성, 낮은 포부-매우 낮은 적합성 순으로 도출되었다. 이상의 연구 결과를 토대로 공과계열 대학생과 졸업생의 직업과 진로교육의 방향과 시사점을 제안하였다.This study was conducted to identify latent profile types according to career aspiration, job fit, organization fit, and major relevance of engineering college graduates, and to verify the difference in intention to stay for each type. To this end, latent profile analysis was conducted, and a one-way ANOVA was conducted to confirm the difference in the intention to stay at work according to the types of latent profile. For the study, data collected from the survey on the employment status of graduates of a university were used with the consent of the person in charge of the survey. This survey was conducted on graduates within 5 years after graduation, and data of 477 people who are currently employed and who majored in engineering were used. The main results of this study are as follows. First, as a result of the latent profile analysis, four types of latent profiles (low aspiration-very low fit, low aspiration-low fit, high aspiration-high fit, high aspiration-very high fit) were identified. Second, the four latent profiles had significant differences in intention to stay. Intention to stay was derived in the order of high aspiration-very high fit group, followed by high aspiration-high fit, low aspiration-low fit, and low aspiration-very low fit. Based on the above research results, the directions and implications of career and career education for engineering students and graduates were suggested.
Political power, economic freedom and performance in the Tunisian banking sector :

Over the past decades, the banking sector has undergone tremendous transformation, and its performance is subject to increasingly important factors. Among these factors, political power and economic freedom which are the subject of our paper. This paper presents a theoretical examination of the fundamentals and the intervention mechanisms of political power. Then a presentation of the different perceptive of economic freedom and the different dimensions of banking performance. Finally, an empirical study is settle down for the Tunisian banking sector, first by a descriptive study then an econometric study. An econometric analysis using panel data by the Generalised Least Squares  (GLS) method was carried out,   on a sample that covers 6 Tunisian commercial banks, three state owned banks and three private banks that account for 70% (= 68.8%) of  the outstanding deposits. The banks studied are banks listed on the Tunisian Stock Exchange (BVMT). Our sample therefore includes the main commercial banks in Tunisia during the period 2008-2018. The dependent variable retained in our model is the return on assets “ROA”. This variable presents the banks performance in our paper  and we will be testing the effect of both political power and economic freedom on it. We empirically confirm the existence of an important relationship between political power and the performance of Tunisian banks. Indeed, banking performance improves by the decrease of political power existance d in the sector. On the other hand, we empirically demonstrated that economic freedom has no significant effect on banking performance in Tunisia. But, it remains important to point out the existence of a strong significance between banking performance and other variables of the chosen econometric model hence the need for further academic work.
Determination of Information Security Using Cryptography and Image Steganography

Hackers are usually prepared to hack&nbsp; confidential documents for their vested interests.&nbsp; The most difficult task is to establish a secure link between the secret message and image quality. The proposed scheme combines cryptography and image steganography techniques to avoid illegal attacks by an unknown person. This scheme will enable image security and message security. The International Data Encryption Algorithm (IDEA) cryptographic algorithms and Discrete Cosine Transform (DCT) based steganography algorithms based functional approach.&nbsp;&nbsp; The purpose of cryptography is to encrypt and decrypt the document. Steganography is the technique of hiding documents within an image with increasing payload for the secure transmission of confidential data over the internet. In this paper, we present a single application to hide the information by the sender, which is an essential document and secret file.&nbsp; The form will be invisible to an unauthorized person. PSNR of 90.06 dB with a payload of 52,400 bytes of information in an image.
Distributed Blockchain Framework Against Cyber Attacks: A Case Study for Real Estate Land Transactions

Real estate like land is a valuable object. The authenticity and accurate tracking of property equity and land ownership data is a difficult endeavor. Because property ownership can shift over time, and often quite frequently, preserving detailed and lengthy ownership transfer documents may be a difficult job. The situation is exacerbated further by the availability of fake or imperfect registers and they are extremely hard to track back in time. Blockchain technology replaces the need for a centralized authority to authenticate the integrity of data and ownership and also facilitates technology platform operations and exchanges. It allows for secure and pseudo-anonymous operations and straight contracts between the concerned parties. It includes crucial characteristics like decentralization, immutability, and openness that might help resolve critical challenges in land and property transactions including an insufficient moment in time records and problematic information access. In an effective and digital real estate transaction context, interoperability is essential, it allows software technology and information platforms to connect safely and quickly, share data, and utilize data. Unfortunately, modern real estate transactions suffered from blindsight, delaying communications, and incompatible operational environments due to a lack of interoperability. Blockchain allows users to safely and pseudo-anonymously retrieve historical, complete, and tamper-free real estate information held in disparate systems. The proposed system uses consensus algorithms like POW and hashing algorithms like SHA 256 to secure the data and it uses customized blockchain to create a distributed ledger of land transaction records. The proposed system maintains land records for the control of blockchain-based transactions and automated data recovery from third-party attacks. The system also fixes issues of data confusion during the transaction.Keywords-Land Transaction, Smart contract, Consensus, Hash Generation, Proof of work, mining, majority voting
Development of an Personalized Adaptive Learning Systemto improve students learning performances

Computer-assisted education promises open access to top-class instruction and a reduction in the cost of learning. Also, the modern education system has achieved great success in knowledge education, but its role in quality education is unclear.  In the traditional one-on-many instructional approach, learning models and continuing education programs are only based on a uniform approach. Due to the limitation of factors like a teaching process, human power, learner's abilities, and so on, instructors only provide all students with the same materials, and they tend to use an identical teaching approach and the same rate of progress. In this approach, it is difficult to consider the learning needs of individual students. This implies that students dependent on instructors teaching skills so they cannot make effective use of class time to learn. On the other hand, students with insufficient proficiency levels may not be able to understand the content of the course.Researchers are developing adaptive techniques that provide a better educational experience for students in some ways. Researchers offer accurate and perso-nalized content to students in an intelligent way, that may allow for adjustments in course content based on student's most recent performances. This technique allows the student to skip unnecessary learning activities by providing automated and personalized support for the student. These systems provide personalized course units that meet different student's educational needs.
The use of impoliteness strategies in online feedback relating to a general election in media / Lydia Colaco, Angeline Ranjethamoney Vijayarajoo and Teoh Mei Lin

The spike in Computer Mediated Communication (CMC) has over spilled into online political discussions enabling the free expression of political views in various platforms. This study aims to investigate the frequency of impoliteness strategies used by netizens in their political discussions online. The study also hopes to identify, if present, the impoliteness strategies that have been more extensively used. Finally, this study aims at finding out the reasons for employing such impoliteness strategies by netizens. In order to answer these questions, a total of 150 impolite feedback responses of netizens were collected from Malaysiakini - an online news portal. The feedback responses formed the backbone of the data, for the study. This data was analysed based on the model of impoliteness by Culpepper (1996, 2005) in the field of pragmatics. The findings firstly revealed that impoliteness strategies were present and the more frequently employed impoliteness strategy was the “positive impoliteness strategy”. This, is used to damage the addressee’s positive face wants i.e., the desire to be liked and appreciated. The findings further revealed that the “bold on-record impoliteness strategy” i.e., where the Face Threatening Act (FTA) was played out directly, were seemingly less frequent. The interview data further revealed that the main reasons that contributed to the use of impoliteness was anger, more precisely, pent-up anger.