Reviewerly/exHarmony huggingface dataset:
Blockchain-Based Vehicular Collaborative Computing

Collaborative computing among vehicles on the road has been regarded as a promising application for connected and intelligent vehicles as new computing and communication technologies emerge.Instead of using cloud computing services, a vehicle can complete computing-intensive tasks by making use of neighboring vehicles' idle computing resources and meanwhile, pay for this service to the assisting vehicles to increase their incentive to participate in such collaborative computing tasks.In collaborative computing among vehicles, how to balance the profits of both sides need to be investigated.What's more, the reliability of transactions is also a concerning problem.In this paper, we first introduce a collaborative computing scenario and propose a twolayer blockchain architecture to enhance the reliability of transactions.Then, we propose a coalition formation game-based collaborative computing algorithm to efficiently achieve effective computing coalition formation in a distributed manner.Simulation results show that the proposed algorithm can significantly improve the vehicles' utilities as well as the task performance.
The Ramifications of the Treasury Single Account, the Ifmis Platform, and Government Cash Management in Developing Economies in the Wake of the Covid-19 Pandemic: Ghana’s Empirical Example

In recent years, the combined effects of inflation, recession, high-interest rates, new investment media and technological advances in information processing have made “Cash Management” an increasingly important and complex subject (IMF, 2001; Ter-Minassian and Parente, 1995). At times, the desire and effort to squeeze out the most from every dollar and to minimise idle cash balances has become an obsession with many organisations and countries. Therefore, effective and efficient Cash Management has become a “sine qua non” for the success of any business organisation (Horcher, 2006a; White, 2006). And Countries, “as Corporate Entities”, are no exceptions to this basic fundamental business principle (Wood &amp; Sangster, 2012). The Theoretical Framework of this study was underpinned by the Stakeholder Theory (Freeman, 1984), the Financial Management Theory (Hayes and Nolan, 1974; Kingston, 1973), and the Modern Money Theory (Friedman, 1964; Keynes, 1930; Mitchell-Innes, 1914). We conducted a cross-sectional research through non-probability and purposive sampling with 200 respondents. Our face-to-face interviews, structured closed-ended and open-ended Questionnaires which were administered online through email application via Google Forms (as a result of the novel, dreaded, and disruptive Covid-19 pandemic), coupled with PETS (Khan and Pessoa, 2010; Reinikka and Svennson, 2006) resulted in startling revelations. Our major finding was that a government lacking an efficient and effective control over its cash resources will definitely pay for its institutional deficiencies in multiple ways (Ahmed, 2016).
A Two-Level Interpretation of Modality in Human-Robot Dialogue

We analyze the use and interpretation of modal expressions in a corpus of situated human-robot dialogue and ask how to effectively represent these expressions for automatic learning and dynamic interpretation in context.We present a two-level annotation scheme for modality that captures both content and intent, integrating a logic-based, semantic representation and a task-oriented, pragmatic representation that maps to our robot's capabilities.Data from our annotation task reveals that the interpretation of modal expressions in human-robot dialogue is quite diverse, yet highly constrained by the physical environment and asymmetrical speaker/addressee relationship.We sketch a formal model of human-robot common ground in which modality can be grounded and dynamically interpreted relative to speaker role, temporal constraints, and physical environment.
The Digital Way Using Biometric Data

the problem of using human biometric data in tracking a digital trace is considered. The possible outcomes of the future are traced and considered by the development of modern technologies. It also examines the human factor in a data leak situation. All this serves as a key point for forming an opinion about the safety of using biometric data in the formation of a digital human footprint. Which in turn determines the vector of development of information technology as a whole.
Apakah Learning Start with a Question Efektif Digunakan dalam Microteaching?: Eksperimen pada Calon Guru Sekolah Dasar

Prospective Elementary School Teachers have difficulty in understanding the science concepts. Beside, they are generally low in curiosity, passive in discussion, and lack of collaboration on microteaching activities. This study aims to: (1) Reveal how to apply the experimental-based LSQ learning model on microteaching activities for elementary school teacher candidates; (2) Examine the increase in curiosity and understanding the concept of science. The method used is a Quasi-experiment method with purposive sampling technique. The sample are 31 elementary school teacher candidates from Universitas Sains Al Quran, Wonosobo, Indonesia. The data about understanding the concept was collected through a test with 30 questions. The data about curiosity was collected by questionnaires and observation sheets. The results showed that there is an increase in the understanding of the concept based on the gain test of 0.3. Furthermore, based on the t-test of 4.01 and t-table of 1.99 (tcount t-table = 4.01 1.99), LSQ model is effective in increasing the curiosity. Curiosity through the four main skills found, namely: questioning skills, reinforcement, explanation skills, and classroom management. The average result of the competency percentage on LSQ learning is 72% (medium category). LSQ is strongly recommended to be applied by prospective elementary school teachers.
Pengaruh Model Pembelajaran Kooperatif Tipe Cooperative Integrated Reading and Compositi (CIRC) dan Minat Baca Terhadap Keterampilan Menulis Karangan Deskripsi Siswa Kelas X SMA Negeri 1 Bangkinang

This research was conducted to explain the effect of the learning model CIRC and reading interest on the results of the descriptive essay writing skills of class X SMA Negeri 1 Bangkinang. This type of research is a quantitative study using a quasi-experimental method and a 2x2 factorial experimental design. The population of this study was students of class X SMA Negeri 1 Bangkinang. Sampling was done by purposive sampling with a sample size of 60 students. Data collection was carried out using two instruments, namely questionnaires and performance tests. Based on the research results, it can be concluded that four things are as follows. First, the skills of writing essays of descriptions of students taught using the learning model CIRC are better than those taught by conventional learning models of class X students of SMA Negeri 1 Bangkinang. Second, the writing skills of students who have high reading interest who are taught using the learning model CIRC are higher than students who have high reading interest who are taught using the conventional learning model of class X students of SMA Negeri 1 Bangkinang. Third, the writing skills of students who have low reading interest who are taught using the learning model CIRC are higher than students who have low reading interest who are taught using the conventional learning model of class X students of SMA Negeri 1 Bangkinang. Fourth, there is no interaction between reading interest and learning models in influencing the writing skills of descriptive essays of class X SMA Negeri 1 Bangkinang.
Automatic Identity Verification Using Face Images.(Dept.E)

This paper presents two types of identity verification systems based on face images. In the first system principle component analysis (PCA) is used for dimensionality reduction and feature extraction whereas in the second system wavelet transform is used for dimensionality reduction and (PCA) for feature extraction. Two types of classifiers, the Euclidean distance and Angle distance, are used with both systems. Comparative study by computer simulation showed that the addition of wavelet transform before (PCA) provides better performance in the case of Euclidean distance classifier. Moreover, the results obtained by (PCA) are in agreement with those reported in literatures.
Stylo visualisations of Middle English documents

Automated approaches to identifying authorship of a text have become commonplace in the stylometric studies. The current article applies an unsupervised stylometric approach on Middle English documents using the script Stylo in R, in an attempt to distinguish between texts from different dialectal areas. The approach is based on the distribution of character 3-grams generated from the texts of the corpus of Middle English Local Documents (MELD). The article adopts the middle ground in the study of Middle English spelling variation, between the concept of relational linguistic space and the real linguistic continuum of medieval England. Stylo can distinguish between Middle English dialects by using the less frequent character 3-grams.
KRİPTOLOJİ VE STEGANOGRAFİ TEKNİKLERİ İLE GELİŞTİRİLMİŞ BİR BİLGİ GÜVENLİĞİ UYGU

The use of digital platforms popularized as a result of technological developments and reached very high points recently. However, these platforms that are used by many people to meet their needs are open to security vulnerabilities due to the number of uses they get. The need for information security has increased significantly since computer technologies are widely used today. This study aims to contribute to the protection of information security using cryptology and steganography techniques that are closely linked with security issues. In this study, data encryption and data hiding, which are generally thought of as alternatives, are used as supplements of each other. Thus, a new and unique application, which is thought to contribute to increasing information security, was developed using cryptology and steganography techniques. It is observed that with the usage of the new application, the data embedded in a digital image that is hidden to different and randomly selected positions each time can be decrypted successfully to obtain the original data. The application was developed using the C# programming language
Mathematics, risk, and messy survey data

Research funder mandates, such as those from the U.S. National Science Foundation (2011), the Canadian Tri-Agency (draft, 2018), and the UK Economic and Social Research Council (2018) now often include requirements for data curation, including where possible data sharing in an approved archive. Data curators need to be prepared for the potential that researchers who have not previously shared data will need assistance with cleaning and depositing datasets so that they can meet these requirements and maintain funding. Data de-identification or anonymization is a major ethical concern in cases where survey data is to be shared, and one which data professionals may find themselves ill-equipped to deal with. This article is intended to provide an accessible and practical introduction to the theory and concepts behind data anonymization and risk assessment, will describe a couple of case studies that demonstrate how these methods were carried out on actual datasets requiring anonymization, and discuss some of the difficulties encountered. Much of the literature dealing with statistical risk assessment of anonymized data is abstract and aimed at computer scientists and mathematicians, while material aimed at practitioners often does not consider more recent developments in the theory of data anonymization. We hope that this article will help bridge this gap.
Development of Information Systems Management of Food Order in Web-Based Patients in Hospital Nutrition Installations

Quality Nutrition services at the hospital will help speed up the patient's healing process, which means also shortening the length of hospitalization days so as to save on medical costs.The Nutrition Installation is in charge of receiving patient order data, recapitulating it, and then making recapitulation results based on the order data.This creates a problem because the use of paper to record patient data in each room is of course too much, not to mention the distance between the room and the nutrition office which is far away and the data recapitulation process takes a long time.Based on these problems, a desktop-based food ordering application was created which can be an alternative for nurses and nutrition workers in ordering patient food every day.The general objective of this research is to develop a webbased information system in the hospital.The type of research carried out in this research is the Mix Method, which is a research model that is simultaneously practicing and theorizing, or combining theory as well as implementing practice.Qualitative research is used to design SI food ordering inpatients.While quantitative research is used to evaluate SI and quality of information using the waterfall method.The method used in this research is a waterfall.The application is made using the Visual Basic programming language.Net Database and SQL Server.The desktop-based food ordering application at Ken Saras Hospital is tested using the black box method and provides a statement in the form of a questionnaire to the research subject, namely dmin , nurses, and staff as app users.The results of this study are an application that features food ordering, order recapitulation, changing the application background, and setting database connections.The results of the questionnaire conducted show that the system is feasible to use with an average of 76% Interpretation Percentage.Suggestions for research, monitoring and evaluation of the system can be carried out periodically, so that problems and obstacles in the system can be immediately known and resolved and system testing is needed based on user acceptance of the new information system
Using Debate to develop Writing Skills for IELTS Writing Task 2 among STEM Students

The paper focuses on the issue of developing essay writing skills in the context of IELTS preparation and explores the issue of whether academic debate can enhance STEM students’ ability to structure their essays, develop a smooth progression of ideas, and provide supported and extended arguments, which, in turn, may result in higher scores for the IELTS Task Response and Coherence and Cohesion categories. To answer this, a study was undertaken in the academic years 2016/2017 and 2017/2018 among STEM undergraduate students in the National Research University Higher School of Economics, Moscow, Russia. The study involved two groups of students (36 students in each): the group that attended regular IELTS preparation classes and the other that, in addition to regular classes, attended debate classes where among other things Toulmin’s argument structure was taught. At the beginning and end of the experiment both groups submitted essays that were analysed according to IELTS rubrics for Task Response and Coherence and Cohesion, and the presence or absence of the elements of Toulmin’s argument structure. In addition, the essays were assessed by an independent IELTS teacher. An independent-samples t-test and Levene’s test were utilised to determine the significance of the collected data. The findings revealed that, on average, the students of the experimental group scored well in Task Response and Coherence and Cohesion, yet some results were inconsistent, which requires further research.
LOGICO SEMANTIC RELATION ANALYSIS OF CLAUSE COMPLEX IN CNN NEWS

This study deals with Logico Semantic Relation in CNN News text. The objectives of this study is to discover the types of Logico Semantic Relation of Clause Complex Used in CNN News and to know the dominant type of logical semantic systems interpreted in CNN News. The researcher applied qualitative approach and used content analysis design. The technique of collecting data was documentation. The data of the research was Logico Semantic Relation meanwhile the news text of CNN was as the data source of the research. The data were analyzed by data reduction, data display, and conclusion drawing/verification. The findings showed that (1) The types of Logico Semantic Relation used in the five news texts of CNN were Expansion (Elaboration, Enhancement, and Extension) and Projection (Locution). The total number of Logico Semantic Relation was 201 or 100% which consisted of 153 items or 76,10% of expansion and 48 items or 23,90% of projection. (2) Expansion (Elaboration) was the most dominant type among all kinds of Logico Semantic Relation which appeared in 92 times or 45,80%. The second rank was projection (locution) that was 48 times or 23,90%. The third position was expansion (Enhancement) which occurred 33 times or 16,40%. Meanwhile, Expansion (Extension) appeared 28 times or 13,90%, and the last one was projection (idea), which had no percentage (0 times or 0.00%). The researcher concludes that there are two types of Logico Semantic Relation used in the CNN news text, those are Expansion (Elaboration, Enhancement, and Extension) and Projection (Locution). The most dominant type of Logico Semantic Relation that appears in the text is Expansion (Elaboration).
Human nature in the era of the technical revolution

Introduction. The article analyzes the paradox of modern philosophy and worldview, in which the stated “death of God”, “death of man”, “of author”, “of nature” does not cancel their obvious existence, but in other modes. Topos and functions of classical concepts that define human nature are replaced by objects of information technology activity. The author believes that the technical phenomenon penetrates into modern living processes and partly replaces them. The idea of death and crisis of the transcendental, divine, human and natural is accompanied by their replacement by technical processes, their specific “revival”. In this regard, human nature itself undergoes certain semantic and material transformations due to necessity. The work describes and analyzes these transformations. The purpose of the work is a specific analysis of human nature in modern scientific and technical doctrine. The author proves that the loss of his ontological status by a person, the reduction of a person to the level of things or biological principles lead to strengthening the foundations of biopower, biopolitics and other forms and methods of influencing a person against his free will in the world. Methods. The author uses critical analysis of philosophical theses and ideological statements. The work uses hermeneutic, phenomenological humanitarian techniques and procedures, as well as the method of comparative analysis and historical reconstruction of scientific facts. Scientific novelty. The scientific novelty of the work consists in an attempt to turn the science about man to its foundations, namely, to the foundation of a free, choosing and born in a natural context personality. The novelty of scientific achievements, progressive technologies, technical inventions and new social dispositions does not negate the question of the human nature essence, which is still new and relevant at the present time.
Research on the Countermeasures Against the Consumption Risks of College Students Based on the Campus Loan Platform

In recent years, online credit platforms have emerged one after another. With the continuous development of China’s "Internet +", the Internet finance industry has shown explosive growth, and P2P peer-to-peer loans have emerged. Some peer-to-peer credit platforms have expanded their business to universities, targeting college students with high consumer demand and little social experience, which has seriously affected the study and life of college students and brought serious negative impacts to society. Universities must strengthen the risk management of "campus loans" and take effective preventive measures. The risks of campus loans include loan risks, guarantee risks, default risks, etc. The causes of these risks are the lack of legal and financial knowledge of college students, the deviation of consumption concepts, and the publicity and risk assessment errors of campus loans. Through an in-depth analysis of the risks of college students’ campus loans, this article puts forward feasible preventive measures that are conducive to ensuring the personal and property safety of college students.
Dealing with Students Pronunciation: the “Spelling Bee” Effect

Pronunciation is put on bottom list in English teaching-learning process, and students focused to learn grammar. The aim of this research was to investigate the effect of “Spelling Bee” technique towards students’ pronunciation. The researcher used the experimental method. The sample of the research was 63 students in seventh-grade MTs NU 01 Mambaul Hikmah Tegalwangi which was consist of 32 female students of seventh E as experimental class and 31 female students of seventh D as control class. The sampling technique used cluster random sampling. The instrument of the research used jumble letters and speaking test as pre-test and post-test which were analyzed using Microsoft Excel. The result of the research indicated that there was a significant difference between students’ post-test in experimental class and control class. The mean score of the post-test in the experimental class was (71.806) while the score post-test in the control class was (23.306). Besides, the result of the t-test showed that t-stat (27.125) was higher than t-table (1.688) with a degree of freedom (df) = 36 as a result Ha was accepted and H0 was rejected. It meant that the “Spelling Bee” technique had a significant influence in teaching pronunciation at seventh-grade of MTs NU 01 Mambaul Hikmah Tegalwangi. “Spelling Bee” can be an alternative technique for teachers to improve students’ pronunciation as well as their vocabulary and spelling skills.
STUDENTS’ READING BASED-MAIN IDEAS ON PASSAGES AT THE SECONDARY EDUCATION

Reading comprehension is crucial skill for both English as a Second Language (ELS) and English as a Foreign Language (EFL) students. To develop the students’ reading ability, the use of main idea of paragraphs in comprehending the passage becomes an alternative solution to be used in teaching. This study is categorized as a Classroom Action Research (CAR). It was applied in use of main idea of paragraphs in comprehending the passage to improve the students’ reading skills. The population of the study is 36 students at the second year students of SMAN 1 Kauman. The instruments of the study consisted of reading test and questionnaries. Based on the research finding that the students’ reading skill and their motivation were still low, as it was indicated in pre-study, the score result was under KKM or the average score is 65 ,55. Therefore, the researcher tried to apply the use of reading based main ideas on coomprehending passages to improve the reading skill. The writer found in the first cycle the average score is 77,00. The next cycle done by the writer repaired the strategy in teaching reading through main idea of paragraphs. It was proved that the students’ score average is 80,22. They passed and got the better score than previous result. It’s concluded that the use of main idea of paragraphs in comprehending the passage was able to improve the students’ reading skill. The students’ interest in reading comprehension through main idea of paragraphs is also good. It has shown the result of questionnaire (83,33%).