Reviewerly/exHarmony huggingface dataset:
Transfer of communications knowledge: Literacy of media conglomeration in high school students

Information and communication technology innovations encourage mass media business by giant media ruler groups present the phenomenon of media conglomeration with various opportunities and impacts. The objective of this community service, organized by Bunda Mulia University in collaboration with Tarakanita 2 High School, through the implementation of a media study class entitled “Media Conglomerate” for 18 students in grades 10, 11, and 12 from across the majors to show the media conglomeration phenomenon and introducing media conglomerates in Indonesia. Activities were held online through Google Meet using interaction, case studies method, and sharing video material presentations to strengthen participants’ understanding of related topics. The participants stated that this activity was profoundly educative, objective, accountable, and transparent so that the material presented was able to increase knowledge and prepare their social skills in the mass communication industry. Media literacy skills are needed, especially for high school students, as the nation’s future generation to be able to see, accept, and understand the content of mass media products wisely. Participants can sort out news objectively because they understand the subjectivity of the mass media, so they are not easily influenced and ensure that the information received is to avoid provocation, conflict, and misinformation.
Power Consumption And E-Waste of Cryptocurrency Mining

This paper identified the understanding the impact of crypto-currency mining on social &amp; environment. Cryptocurrency, an encrypted peer-to-peer network to facilitate the exchange of digital goods, is a technology that was developed 8 years ago. While crypto-currencies are unlikely to replace traditional currencies, they can change the way global internet-connected markets interact, removing barriers around national currencies and exchange rates. Indian youth has invested hugely in cryptocurrency, a new crypto community has emerged. In India, many start-ups started based on block chain technology and cryptocurrency trading system which increased the popularity of Cryptocurrency among the youth which results in increase of cryptocurrency mining. Country youths are falling for marketing techniques used by companies to increase their user base by showing profits which result in financial risk among the young peoples among the countries.
Blockchain Technology for Cashless Investments and Transactions in Digital Era With SWOT Approach

One of the most visible information technologies in today's digital age is transaction and investment technology, where users or the public are facilitated in transactions by no longer using cash. Users also feel safer because they do not need to carry cash. Moreover, the current digital era makes it easy for users or the public to invest anywhere and anytime without disrupting other businesses. Blockchain technology can be used as an alternative to non-payment transactions or commonly known as cashless transactions. Blockchain technology can also be used as an investment in electronic money. The methodology used to provide an overview and evaluate the benefits of blockchain as an alternative to digital payment and investment activities in the cryptocurrency industry uses a SWOT approach. Based on the SWOT approach that has been taken, it can be concluded that with internationally recognized safeguards of confidentiality and the ease of conducting investment transactions and activities without payment, the Weaknesses and threats can be controlled for more investors to enter the world of electronic money.
Blockchain for IoT Security Issues

In the past couple of years block chain has acquired a parcel of prominence in light of the fact that blockchain is the center innovation of bitcoin. Its use cases are filling in a number of fields like security of Internet of Things (IoT), banking area, enterprises and clinical focuses. Also, IoT has extended its acknowledgment as a result of its organization in brilliant homes and city improvements around the world. Sadly, IoT network gadgets work on restricted registering power with low capacity limit and organization transfer speed. In this manner, there are additional near assaults than other endpoint gadgets, for example, mobile phones, tablets, or PCs. This paper centers around tending to critical security issues of IoT and maps IoT security issues in logical inconsistency of existing arrangements tracked down in the writing. Besides, gifts that are not tackled after execution of blockchain are featured.
PENCEGAHAN PENYALAHGUNAAN NARKOBA BAGI SISWA/I SMK FARMASI DI KABUPATEN SUMBAWA

The world of education must be managed as well as possible in order to be able to produce quality human resources. But along with the progress of the times, the rampant circulation and abuse of drugs has affected the mental and education of today's students. It is feared that students will fall into drug circles, either voluntarily because of their curiosity, or as a result of pressure from outsiders that can arise due to promiscuity. This service activity aims to provide information to students related to drug prevention. The method used is lecture and discussion. The sample in this study were 80 students of SMKI Pharmacy Sumbawa consisting of students in class X-XII. The activity was carried out on July 28, 2022 for 1 hour 20 minutes. The series of events in this activity are opening, core material, discussion, and closing. The result of this activity is that students are active in receiving information related to drug prevention efforts provided by the speaker. So it is hoped that the school can provide lessons or material about drugs in existing subjects.
Relative to What? - Interpretation with higher-place predicates

Abstract Ordinary language contains groups of related predicates with different arities. Interpreting utterances that appear to contain an n-place predicate by using an n+m-place predicate to dissolve merely apparent disagreements and other misunderstandings is an established practice in everyday discourse. This paper aims to present hermeneutical maxims to guide and evaluate these interpretations through arity raising. In interpreting utterances by using a higher-place predicate, we should use only expressions that their authors themselves reasonably could have used and which would have been suitable to achieve their supposed purposes. The goal is to achieve a charitable, accurate reading that also maximizes the text's transparency to improve our understanding of it.
The biopore’s movement as flood prevention in Sungai Nangka Village, Balikpapan

Flooding can be defined as the submergence of a place because a high overflow of water exceeds the water capacity of an area. In Balikpapan, many areas are still inundated during heavy rains. Especially in Pondok Karya Agung Housing RT.18 Sungai Nangka Village, flooding is a major problem that occurs in the area. This community service program aims to increase community knowledge about flood prevention at Pondok Karya Agung Housing RT.18 Sungai Nangka Village. Methods of implementation in these services socialized and practiced planting biopore infiltration holes. The implementation phase includes preparation, implementation, and evaluation of increasing participants' understanding of making biopore infiltration holes. This community service program was attended by 25 participants. There are 24 points for biopore locations. These activities will be held for two days. The results show that understanding and interest in implementing increased after the socialization and practice of installing biopore infiltration holes.
Fractional order Fish Migration Optimization Algorithm for Spam Detection in Twitter Data Stream

One of the dangerous death-causing diseases called cancer can be cured by exploiting a renowned technique called chemotherapy.Social network sites continue to increase their popularity because of the high practice of the internet.By exploiting social media such as Twitter as well as Facebook the peoples become linked with each other.Due to this, impetuous communication has increased, such as spam and it is used in gathering information in marketing or individual to find out crime over people.On Twitter, spam detection is considered one of the important problems due to the small text as well as the numerous language inconsistencies in social media.Therefore, it is very important to formulate a spam detection technique that pretenses the capability to detect spam messages by exploiting Twitter data.This work formulates a new spam detection approach by exploiting a Twitter data stream.Therefore, the transformation of data is performed on the input data by exploiting the YJ transformation to make the data appropriate for processing.By exploiting the Renyi entropy as well as the DBN feature fusion is carried out.In addition, the detection of spam is carried out by exploiting the Generative Adversarial Network (GAN) that is trained by exploiting the adopted Fractional-order Fish Migration Optimization (Fo-FMO) algorithm.
The optimization of flux trajectories for the adiabatic controlled-Z gate on split-tunable transmons

In a system of two tunable-frequency qubits, it is well-known that adiabatic tuning into strong coupling-interaction regions between the qubit subspace and the rest of the Hilbert space can be used to generate an effective controlled-Z rotation. We address the problem of determining a preferable adiabatic trajectory along which the qubit frequency is tuned and apply this to the flux-tunable transmon model. The especially minimal anharmonic nature of these quantum processors makes them good candidates for qubit control using non-computational states as long as higher-level leakage is properly addressed. While the statement of this method has occurred multiple times in the literature, there have been few discussions on which trajectories may be used. We present a generalized method for optimizing parameterized families of possible flux trajectories and provide examples of use on five test families of one and two parameters.
Data First: Criminal Courts Linked Data research report.

ObjectivesThe Ministry of Justice’s pioneering data linking programme Data First, funded by Administrative Data Research UK, links administrative datasets across the justice system and with other government departments to enable research providing critical new insights on justice system users, their pathways, and outcomes across a range of public services.&#x0D; ApproachThe first two datasets shared under the Data First project are magistrates’ courts and Crown Court data which have been deidentified, deduplicated and linked to provide a joined-up picture of criminal court defendant and case journeys. Accredited researchers can access this data using the ONS Secure Research Service to conduct research. Administrative Data Research UK has funded four Research Fellows to conduct analysis using this linked data. Additionally, analysts within the Ministry of Justice Data First team have published a research report showcasing the potential of the linked criminal courts data. The presentation will primarily focus on this work.&#x0D; ResultsThe Data First criminal courts datasets have enabled, for the first time, the extent and nature of repeat users to be explored at scale for research. In March 2022, the Ministry of Justice published exploratory analysis of returning defendants and the potential of linked criminal courts data. The key findings of this report will be covered in the presentation. The research demonstrates more than half of defendants returned to the courts within the data period, but this was highest for specific offence groups, including theft, robbery and drug offences. Locality-based analysis on Crown Court defendants highlights important insights on the backgrounds of justice system users, showing an over-representation of defendants residing in the most deprived areas in England and Wales compared to the general population.&#x0D; ConclusionThe presentation will demonstrate how linked administrative data available through the ground-breaking Data First programme can be effectively used for research. This insight improves our understanding of individuals in the justice system as well as providing a rich resource to develop the evidence base for government policy and practice.
An Improved Trust-Free Approach for Preserving Privacy in Internet of Things

As the researches for Internet of things(IoT) are very active, those for preventing privacy leakage in IoT is also getting important. Various methods have been proposed, but each has its own drawbacks such as reliance on the service provider or a trusted third party. Recently a new method called Blind Peer Approach (BLP) has been proposed to resolve the drawbacks by cooperating untrusted blind peer instead of trusted third party. Blind Peer Approach, however, is still in the early stage, therefore the detailed procedure is missing. In addition, the method still has a critical issue, which is the fact that BLP is vulnerable to trajectory attack. In this paper, we propose Enhanced Blind Peer Approach (EBLP) and its detailed procedures. This method is resilient to the trajectory attack by carefully selecting the blind peer in the feasible moving area. We analyse the resiliency for some privacy attacks for EBLP. Our analysis shows that EBLP has acceptable communication and computational costs.
Accelerating LOF Outlier Detection Approach

Outliers are the deformities in the data that diverges from the normal behavior. Detection of outlier points is a crucial task as it leads to the extraction of the discordant observations in different domains. One of the most popular density-based outlier detection techniques is local outlier factor (LOF), and later many variants of this approach are also introduced. These techniques have more execution time as they calculate the outlier score for every data point. In this paper, we propose an approach that first detects the data points which have a high probability of being an outlier (i.e., probable outliers) based on Z-score and modified Z-score statistical techniques. Subsequently, we compute the anomaly score of only these probable outliers. Therefore, we avoid to calculate the outlier score of a substantial number of data points. We conducted experiments on synthetic dataset as well as on real-world datasets, and experimental results demonstrate that our proposed approaches outperform the popular outlier detection technique LOF and its variants.
Araç Sosyal Ağında Blokzincir Teknolojisinin Kullanımı

In this study, the application of the vehicle social network, which is formed by integrating the concept of vehicle social network, which started to emerge with the increase in the number of connected vehicles, and the blockchain technology, which is widely used today, is implemented with a decentralized structure with the structure created in this study. In other words, while integrating the vehicle social network and blockchain technology, the system structure in this study is suggested. Within the scope of this proposal, information will be given about some of the improvements made and it is discussed which points have been addressed in the system and what is being worked on. In this context, after mentioning blockchain technology and vehicle social network, the architecture and algorithm in this study will be mentioned. We will use diagrams and pseudocodes to explain our algorithm. Finally, we will summarize what we talked about in this study with the conclusion part.
Influence of Systems of Education and Gender on Academic Achievement

This study aimed to find the influence of system of education (Madarsa and Government Elementary Schools) and Gender on Academic Achievement of students. In order to realize the objectives of the study, quantitative descriptive survey method was used. The sample consisted of 268 students from Government Elementary Schools affiliated to Madhya Pradesh Board of Secondary Education and 254 students from the Madarsas affiliated to Madhya Pradesh Madarsa Board, Bhopal. Thus, the total sample comprised 522 students studying in Class VIII. For measuring achievement in Hindi Language, Academic Achievement test for Hindi developed by Hasan was used, and for measuring achievements in Mathematics and Social Studies, self-developed tests were used. Obtained data was analyzed with the help of t-test and Two-Way ANOVA. The findings of the study revealed that the mean score of Academic Achievement for the students of Madarsa was higher than those of Government School students. Gender did not influence the Academic Achievement of students studying in Madarsa System of Education but it influenced significantly to the Academic Achievement of students studying in Government Elementary Schools. It was also found that there is no significant combined influence of system of education (Madarsa and Government Elementary Schools) and Gender on Academic Achievement of students.
Multi-Class Fake News Detection Using Online Learning Approach

Abstract: Data assiduousness on Internet, principally on social media platforms, happens to be an incontrovertibly introductory concern, still web-scale information acts as a roadblock to the capacity to classify, assess and address similar information, or contended "fake news", within reach in these stages. The easy access and dramatic heightening of the data open via online entertainment networks has made it tangled to make a differentiation among bogus and genuine data. The simple proliferation of data via sharing has strengthening to remarkable development of data distortion. A ton of exploration is as of now centered around recognizing it. The reliability factor diffusion of fake information with real one is ubiquitous. Along these lines, it has turned into an exploration challenge to consequently guarantee the data by its source, content and distributer for arranging it as misleading or valid. Machine learning plays had a basic influence in sorting of the data despite the fact that for certain regions. The procedure proposed by this paper is to make a model that will identify assuming an article is genuine or counterfeit in light of its words, expressions, sources and titles, by applying managed AI calculations on an annotated (labeled) dataset, that are manually classified and guaranteed. The imperatives of such methodologies and impromptu creation via it are likewise evaluated and inspected to execute profound learning.
DEBATE, SELF-EFFICACY, AND DECISION MAKING IN EAST JAVA ENGLISH COMPETITION

In the era of globalization, self-efficacy and decision-making are needed to complete self-quality. Many education experts believe that debate is closely correlated with self-efficacy and decision-making. Therefore, this study investigates the correlation between debate, self-efficacy and decision-making. This correlation study involved 67 students in the English Debate competition at the East-Java English Club (EJEC) 4 2020. 25 questionnaire items with Yes/No options were used to determine student debate perceptions and two Likert scale questionnaires, each consisting of 26 items for measuring decision making and 30 items to measure self-efficacy were also given to students. The Kendall's Tau Correlation ver.21 for windows demonstrates a moderate correlation between debate and decision-making (r=.436), debate with self-efficacy (r=.513), and self-efficacy and decision-making (r =,827). From these results, it can be concluded that there is a significant correlation between debate and decision making, debate with self-efficacy, and self-efficacy with decision-making. It also bringsrecommendations for further researchers to find out more about students' perspectives and debate coaches regarding the debate method to develop students' decision-making abilities and self-efficacy
Information Activity as an Integral Part of Forming the Image of a Modern Higher Education Institution

The purpose of the studyis to analyse information activities as an integral part of shaping the image of a modern university. Methods and methods of researchwere chosen institutional method in combination with the normative approach to the consideration of key categories, comparative and analytical methods, methodologically sound tools of structural functionalism. Factual and statistical methods were used in the analysis of monitoring the output of videos about the university on television. Results and discussion. The updated information and advertising video content produced by higher education institutions for self-presentation, objective and prompt information about their activities, attracting the attention of a wide interested audience is analysed. The analysed content can be structured in several problem-thematic areas, which represent the multifaceted work of the educational institution: scientific, educational, entertaining, event, educational. Conclusions. Vasyl Stefanyk Precarpathian National University organized information activities that promote its self-presentation, image campaign in the information space, and popularize the university among the public of the region. Recommendations are formed: 1) it is necessary to form such a unique image of the university, which contains bright, informative, timely updated information materials intended for external presentation; 3) the necessary system of targeted information to consumers about their potential, successes and educational services offered; 4) it is important to formulate the purpose of information material, choose a genre (note or message, report from the scene), focus on compositional construction, selection of musical accompaniment, place information product on various media platforms (social networks, online publications, regional and national TV , radio, newspapers, magazines). Key words: university, image, regional mass media, press service, website of higher education institution.
Organizational and pedagogical foundations of formation of schoolchildren’s worldview culture by means of musical art

International scientific conference «The role of psychology and pedagogy in the spiritual development of modern society» : conference proceedings, July 30–31, 2022. Riga, Latvia : «Baltija Publishing», 2022. 363 pages.
The Effects of Shadow-Reading on EFL Learners’ Reading Comprehension

The current study investigates the effects of shadow-reading on the development of the reading comprehension of undergraduate students who studied English at Ajloun University College/ Al-Balqa Applied University. The researchers randomly selected 100 EFL learners from the Department of English Language at Ajloun University College who enrolled in the reading course in the first semester2021/2022. The students were first and second-year students aged 18-22. The sample of the study was divided equally into experimental and control groups. The control group was exposed only to regular classroom reading instruction, while the experimental group received shadow-reading instruction. The researchers conducted a posttest to find out if there were significant differences between both groups. The results indicated that shadow-reading affected reading comprehension positively. It is found that shadow-reading is more effective than other traditional methods in teaching reading comprehension. The current study presents several recommendations for language learners, researchers, teachers, and syllabus designers.