Reviewerly/exHarmony huggingface dataset:
Development Literacy Module Media In Indonesian Language To Improve Reading Skills Of Grade Ii Elementary School Students

&#x0D; &#x0D; &#x0D; &#x0D; Reading and writing are early literacy that was first recognized in human life. The reading difficulties experienced by some students make students have minimal reading literacy skills. This can affect students' ability in writing skills, because a lack of reading makes students minimal information and minimal vocabulary. Therefore, teachers must be smart in managing learning that takes place in class. The literacy literacy module is a book which contains elements of reading and practice questions. With the practice questions associated in order to train students, after reading the module. In this study, researchers used a design design and development research approach(Research and Development atau RnD). Researchers focused on grade 2 students, using 27 students. Data collection using a questionnaire, analyzed with qualitative descriptive data and quantitative data. Based on the results of product feasibility reached an average of 85.25%. From the practicality test results by teachers and students in the average module, it is 94.2%. Based on the results of the effectiveness test, the average was 81.4% while the students' reading skills test averaged 87.96%. So that the development of the Media Literacy Module produces products that are very valid, effective and practical to use in the learning process on Indonesian content for poetry material as well as expressions of apology and help for class II SD Negeri Mekar Mukti 01.&#x0D; &#x0D; &#x0D; &#x0D;
Tobacco Consumption and Quality of Life

Background: Smoking is the main cause of illness and death worldwide. It is a serious public health problem and a habit that has consequences for the individual’s quality of life (QoL). The aim of the study was to evaluate the QoL of patients undergoing tobacco cessation treatment in a multidisciplinary program in Brazil. Materials and Methods: The current retrospective study was performed on patients undergoing tobacco cessation treatment in a multidisciplinary program of the Institute of Science and Technology, São Paulo State University (UNESP), Brazil, São José dos Campos, from March to December 2015. The 36-Item Short Form Survey (SF-36), Fantastic Lifestyle, Self-Reporting (SRQ-20), Medical Outcomes Study (MOS), and the State Trait Anxiety Inventory Questionnaires (STAI s/t) were administered to 71 participants who were selected according to the inclusion criteria. Results: The smoking habit affected the QoL of the user, especially in the physical functioning, social aspect, vitality, and mental health domains of the SF-36 survey and the Fantastic Lifestyle Questionnaire. It also influenced depression and the social support of the patient as we could see by the application of the SRQ-20 questionnaire and by the MOS questionnaire, respectively. Conclusion: We could see that there is a negative relationship between smoking and QoL and that smoking influences depression and the social support of the user. These findings highlight that effective tobacco cessation interventions are crucial. Healthcare providers and policymakers must prioritize tobacco control to reduce the burden of tobacco-related diseases and improve community well-being.
Twice Stepped in Still Waters: Sonification and Interdisciplinarity as Artistic Research

Real-time EEG and sensor data sonification have been researched extensively. New implementations of these technologies in the fields of live electronic music performance and sonic art generally focus on instrumentalising brain waves as an interface, or are concerned with controlling brain waves through biofeedback. Twice Stepped in Still Waters is instead concerned with using bio and sensor feedback as a focused framework accommodating phenomenological listening for the performer. Furthermore, when presented before an audience, this activity results in circumstances for sound and listening (music). Currently available high-resolution consumer devices and open-source software have now rendered these technologies accessible to a wide pool of researchers from a variety of fields. The present work uses sonified real-time EEG and accelerometer data to situate phenomenological concerns of the performance situation within the field of artistic research. Discussion of the technical development and artistic context for the piece reveals a broad interdisciplinary scope. Twice Stepped in Still Waters may be therefore read as a case study offering an implementation and a performance methodology for sonification and focused listening afforded by these sensor technologies. Variations on the approaches described may be applied by other investigators working within or outside of the domain of artistic research.
Innovative Measures of Verhulst Diagram for Emotion Recognition using Eye-Blinking Variability

Background: The human body continuously reveals the status of several organs through biomedical signals. Over time, biomedical signal acquisition, monitoring, and analysis have captured the attention of many scientists for further prediction, diagnosis, decision-making, and recognition. Recently, building an intelligent emotion recognition system has become a challenging issue using the application of signal processing. Frequently, human emotion classification was proposed utilizing the internal body status in dealing with affective provocations. However, external states, such as eye movements, have been claimed to convey practical information about the participant’s emotions. In this study, we proposed an automatic emotion recognition scheme through the analysis of a single-modal eye-blinking variability. Methods: Initially, the signal was transformed into a 2D space using the Verhulst diagram, a simple analysis based on the signal’s dynamics. Next, some innovative features were introduced to characterize the maps. Then, the extracted measures were inputted to the support vector machine (SVM) and k-nearest neighbor (kNN). The former classifier was evaluated with three kernel functions, including RBF, linear, and polynomial. The latter performances were examined with different values for k. Moreover, the classification results were assessed in two feature-set partitioning modes: a 5-fold and 10-fold cross-validation. Results: The results showed a statistically significant difference between neutral/fear and neutral/sadness for all Verhulst indices. Also, the average values of these characteristics were higher for fear and sadness than those of other emotions. Our results indicated a maximum rate of 100% for the fear/neutral classification. Therefore, the suggested Verhulst-based approach was supremely talented in emotion classification and analysis using eye-blinking signals. Conclusion: The novel biomarkers set the scene for designing a simple accurate emotion recognition system. Additionally, this experiment could fortify the territory of ocular affective computing, and open a new horizon for diagnosing or treating various emotion deficiency disorders.
Application of K-Medoids Algorithm in Provincial Grouping in Indonesia Based On Case of Environmental Pollution

Cluster analysis is a method for grouping objects that have the same characteristics. One of the methods in cluster analysis used to group data is the K-Medoids method. In this study the K-Medoids method was applied to classify provinces in Indonesia based on environmental pollution. The variables used are: the number of sub-districts/villages that experience water pollution from factory waste, the number of sub-districts/villages that experience water pollution from household waste, the number of sub-districts/villages that experience soil pollution from factory waste, the number of sub-districts/villages that experience soil pollution from household waste, the number of sub-districts/villages that experience air pollution from factory waste and the number of sub-districts/villages that experience air pollution from household waste. Based on the Davies Bouldin Index, the 2 best clusters were obtained where the first cluster consisted of 31 provinces which had low environmental pollution and the second cluster consisted of 3 provinces which had high environmental pollution.
Mark Iosifovich and Asia Moiseevna: Random Reminiscences

How It All Started for Me I can say without being untruthful that my first meeting with Mark Iosifovich (MI) and Asya Moiseevna (AM) was caused by engaging (perhaps not entirely wisely) in intellectual pursuits. I was an undergraduate student at the time, and although I was normally careful with money, on this occasion, I got carried away and acquired two thick tomes for what amounted to almost all of my disposable funds for that month. My mother in St. Petersburg, who was generally unsympathetic to such excesses, was nonetheless worried that I would go hungry. And, through friends of friends, she found someone (MI and AM, in this case) traveling in the right direction and willing to deliver a package containing a bit of food and a small financial infusion to tide me over.
Convergence hypothesis: a systematic literature review with bibliometric analysis

The study presents a systematic literature review with bibliometric analysis of the existing literature on convergence hypothesis sourced from the Scopus database over two decades spanning 2000 to 2020. Literature review based on year, source, affiliation, country, and contributing authors is done, along with bibliographic coupling, thematic evaluation and content analysis. Findings suggest that the existing literature mainly focuses on the developed world for examining convergence and its implications. This reflects a severe lacuna as the research on convergence with emerging economies as a focal point is meagre. In conclusions, the authors suggest ways to deal with this critical research gap.
The reality of distance learning facing educational crisis caused by the COVID-19 pandemic among Jordanian university students with disabilities

The current study aimed at identifying the reality of distance learning facing the educational crisis caused by the COVID-19 pandemic among university students with disabilities in Jordanian universities. To achieve the aims of the study, the researcher designed a questionnaire of four domains: distance learning services provided to students with disabilities; technical challenges bounding the application of the distance learning process on students; challenges facing faculty member; and appropriate solutions for the success of the effectiveness of distance education. The study tool, the questionnaire, was distributed to a sample of 440 students with disabilities (motor, auditory, and visual) in three Jordanian universities. The results indicated that the reality of distance learning facing the educational crisis caused by the COVID-19 pandemic among Jordanian universities' students with disabilities was relatively average. Further, they concluded that there was a realisation of distance learning among university students with disabilities, which does not meet the desired degree of efficacy and influence.
Social Media Censorship: Overprotected Platforms and Legal Liability

In the wake of sustained efforts to combat abusive behaviour on social media platforms, it has been demanded that social media companies take greater responsibility for the safety of their users. A piece of a piece of legislation (The Online Safety Bill) was announced by the UK government in 2022 with the aim of creating a safer online environment and protecting users from harmful content. This article critically assesses the extent to which social media platforms are overprotected in contemporary society, and whether current regulations are sufficient solutions to the issues around online harms and abhorrent content. A comparative perspective of various media law systems is provided to explore the legal regulations, jurisprudential norms, and societal impacts of different legal systems on the media. The regulation of social media platforms is a complex issue that has sparked debate over the balance between protecting speech rights and preventing abusive behaviour. However, it is not as simple as a binary choice between statutory oversight and unregulated speech, as moderation laws can be too rigid or too vague and may lead to over-censorship or over-protection. There is a need to refine clear boundaries for content governance and liability exemption, while maintaining the original intentions of legislation, aligned with an ethic approach.
Research on Semantic Analysis-Based Recognition of Telecommunication Fraud Discourse Patterns

This study explores the recognition of telecommunication fraud discourse patterns based on semantic analysis. The paper first analyzes the fundamental characteristics and evolving trends of telecommunication fraud discourse. It then elucidates the principles of the recognition method and its application in telecommunication fraud detection and early warning systems. Additionally, the challenges faced by this method are introduced, such as the difficulty of identifying complex and ambiguous fraudulent language, model updates, as well as data privacy and ethical issues. Finally, potential directions for future research are proposed, including the development of new semantic analysis techniques, the design of more effective model training strategies, and in-depth investigations into data privacy and ethical concerns.
In Search of the Peculiar: An Unsupervised Approach to Anomaly Detection in the Transient Universe

The era of big data time-domain Astronomy is here, with future telescopes increasing the volume of data at an astonishing pace. Perhaps, the most scientifically promising aspect of these surveys is their potential for discovery across the transient universe. Nonetheless, current methods are unable to handle multidimensional databases of such extreme size. Currently, rapid analysis to systematically identify scientifically compelling objects is near impossible. We present an approach that tackles the challenges presented by the onslaught of data, identifying the most anomalous light curves in current and future time-domain surveys. Using observations from the first two years of TESS, we deploy an Unsupervised Random Forest method using a combination of normalized light curve points and their power spectrum as features. Our algorithm identifies a wide range of variability patterns and successfully pinpoints several documented scientifically interesting targets discovered by the community to date.
HUBUNGAN ANTARA PROGRAM GERAKAN LITERASI SEKOLAH DENGAN MINAT BACA SISWA

Low interest in reading is a problem in achieving students' language skills, including reading skills which have many benefits in students' language development. Therefore, the Ministry of Education and Culture created the School Literacy Movement (GLS) which is one step in instilling and growing student interest in reading. This study aims to analyze whether there is a relationship between the school literacy movement program and reading interest. The results of this study conclude that the school literacy movement has a significant positive relationship with students' reading interest. This is indicated by a significance value of 0.000 &lt;0.05. The results of a simple correlation show a value of 0.628 so it can also be said that the better the school literacy movement, the higher the students' reading interest. The impact of this research is that the school literacy movement activity program can be an alternative to develop students' reading interest by providing reading material that is in accordance with their choices and interests through cultivating the school literacy ecosystem so that they become lifelong learners. &#x0D; Keyword : School Literacy Movement, Reading Interest
A descriptive Study on the Students’ Perception towards Code-Switching Used by English Teachers in Teaching-Learning Process at SMK Negeri 1 Banyuwangi in Academic Year 2019/2020

Language is primarily a speech. It is used in a society and it is a social event. People use a language for communication with each other. This research aimed to describe students’ perceptions toward code-switching used by English teacher, and the types of code-switching that used teacher in teaching-learning process. The research design was descriptive qualitative. The respondents were 36 students in SMK Negeri 1 Banyuwangi which determined by used purposive sampling. The data were taken by used documentation and questionnaire. The data from documentation used to analyze the types of code-switching. The data from questionnaire analyzed by using Likert scale. The data analysis was determined based on theory of interest with four indicators. They are effect of code-switching in rising their confidence, learning materials mastery, learning motivation, and interaction in teaching-learning process. The result of documentation show that there are three types of code switching that used by teacher in teaching-learning process. The percentage are tag code-switching (27,55%), inter sentential code-switching (43,87%), and intra sentential code-switching (28,57%). Analysis of questionnaire data showed that the index percentage of students’ perceptions toward code switching used by English teacher was 73% that consists of effect of code-switching in rising students’ confident 75%, analyzing learning materials mastery 77%, learning motivation 73%, and 69% interaction in teaching-learning process.
The Effect of Game on the Students’ Tense Achievment

This research was conducted to investigate the effect of using game on the seventh-grade students’ tense achievement at SMPN 2 Balung-Jember. The primary data of this research were collected from the students’ scores of tense test. The primary data were collected from the post-test to compare the two different groups after treatment and analyzed the result by using independent sample T-Test (SPSS). Based on the calculation, the result of this research showed that there was a significant effect of using game on the seventh-grade students’ tense achievement. It was proved by the value of significant column of t-test table by using SPSS software, and the result was 0.045 which was lower than 0.05 (significant level of 5%). The research results proved that there was a significant effect of using game on the seventh-year students’ tense achievement at SMPN 2 Balung-Jember. Therefore, it is recommended for the English teacher to use game as an alternative technique in teaching tenses.
The Effect of Spelling Bee Games to Students’ Vocabulary Mastery

The objective of the research was to know the effect of Spelling Bee game to students vocabulary mastery. This research design was in experimental research. The researcher observed 33 students’ of tenth grade TKJ 2 at SMK NU Mamba’ul Huda. The researcher used pre-test and post-test and those were in the form of multiple choice tests. The data were analyzed statistically by using T-test. Afterward, T-test was analyzed and interpreted with the degree of significances 5% with db = N – 1 = 33-1 = 32 and the T- table is 2,036. The results of T-test analysis was 12,09. The result showed that there was a significant difference between using and without spelling bee game to students vocabulary mastery. Based on the research result, it can be concluded that teaching English vocabulary by Spelling Bee game was effective and gave remarkable progress in students vocabulary mastery, especially in X TKJ 2 at SMK NU Mambaba’ul Huda Tegalsari.
The Effect of Comic Strips on Reading Comprehension of The Tenth Grade Students At SMK NU Mambaul Huda Tegalsari In Academic Year 2019/2020

Reading comprehension is a part of English learning in education, the meaning of comprehension is the process of eliciting making meaning thought interaction and involvement with written language. The purpose of this research was to know whether the students taught by using comic strips get better Reading Comprehension of Descriptive text score. The purpose of this research was to know whether the students taught by using comic strips get better Reading Comprehension score of Descriptive text. This research was an experimental research. The type of the research was a pre experimental research. The researcher used one group pretest and posttest design. The respondents of this research were 34 students. Before giving the treatment, the students were given pre-test, and post-test was given after the treatment. The technique of collecting data was a test. The technique of data analysis was T-test formula in order to know the difference between the average of posttest of experimental class and pretest of experimental class. T-test was analyzed and interpreted with the degree of significances 5% with db = 32 and the T-table is 2,021. The results of T-test analysis is 5,27. It means that the T-test ( 5,27 ) is higher than T-table ( 2,021 ) in the significances 5%. From the research finding, it can be concluded that the students taught by using comic strips get better score on reading comprehension of descriptive text. It is suggested for the future researcher to conduct further research on similar area by improving the methodology.
Large semi primes factorization with its implications to RSAcryptosystems

RSA’s strong cryptosystem works on the principle that there are no trivial solutions to integer factorization.Furthermore, factorization of very large semi primes cannot be done in polynomial time when it comes to theprocessing power of classical computers. In this paper, we present the analysis of Fermat’s Last Theorem andArnold’s Theorem. Also highlighted include new techniques such as Arnold’s Digitized Summation Technique(A.D.S.T.) and a top-to-bottom, bottom-to-top approach search for the prime factors. These drastically reducethe time taken to factorize large semi primes as for the case in RSA Cryptosystem
An improved public key infrastructure-based digital signatureauthentication service for higher key storage system

In general, we quickly forget about boxes with paper archives, and there is not even a single sheet of paper onthe desktop. If a paper document is sent to the institution through regular mail, the artifact is immediately scannedand digitized. In fact, it turned out to be quite the opposite. The more a company uses computers for digitalworkflows, the more it documents and prints. Above all, every document must be authenticated. A documentwithout a signature is only a draft or an information note. To get the signature, the documents are printed and thenoften scanned, and the original documents are kept on file. It is now clear that the (paperless) workflow cannot beimplemented without electronic digital signatures. In this study, an improved public key infrastructure-based DigitalSignature Authentication Service is proposed for higher key storage system. In this method, the CAs included inthe list provide certificate-based digital identifiers and time stamping services that comply with global regulations,such as the eIDAS standard. Electronic digital signatures are already supported for most popular office documentformats. Timestamps are supported, including multi-person document signatures.