Reviewerly/exHarmony huggingface dataset:
New Frontiers in Security Risk Management

Information and communication technologies are fomenting a highly connected and modern society. This modernization is making innumerable improvements to our daily lives (e.g., transport, health, communications, business, efficiency, entertainment, and so on). However, it is also creating a complex and interconnected ecosystem of security risks that threatens our privacy, honor, information, and other material resources. It can, therefore, clearly be seen that traditional information security risk analysis methods (ISRAMs) are an insufficient means to protect citizens. Nevertheless, the emergence or evolution of advanced technologies (e.g., quantum computing, machine learning, semantic models, swarm intelligence, or even blockchain) may push ISRAMs toward a new technological dimension that seeks a more connected and integrated awareness of security risks. In this article, we present a vision of how these advanced technologies can be integrated to reduce risks in our daily lives and help us to make decisions regarding security risks.
Development of Online Crossword Puzzles as A Media of Learning on Hydrocarbon Material 11th Grade Senior High School

Hydrocarbons are a fairly dense material, it is necessary to strengthen the concept of this material in the form of exercises. As a result of the distribution of the questionnaire, 98% of students participated in training in the form of a game. One game that can be used as practice is a crossword puzzle. This study aims to produce an online crossword game and determine its validity and level of practicality. The research method used is research of development with a plomp model. The research time was carried out from January 2021 to October 2022. The place where this research was carried out was the FMIPA UNP campus and schools. The results of the study found that the crossword game media obtained an Aiken V index value at construct validation of 0.87 and content validation of 0.91. Furthermore, the results of the small group practicality test showed that the resulting media received a percentage score of 83% teacher response and 86% student response. This study concludes that the online crossword game media developed is already valid and very practical.
Cultural Literacy in Academic-Related Documents of English Subject in Junior High School

This study investigated cultural literacy in academic-related documents of English subject in Junior high school. This study used content analysis. The data was words, phrases, clauses, sentences, and the pharaprashing of them taken from Junior High School. The finding showed that all the aspects of cultural literacy were stipulated in Indonesian government regulation. The similar condition applied to syllabus. Both of them were dominated by competency interpreting cultural context. However, there was no consistency across the documents because cultural literacy indicators appeared quite low in other documents such as lesson plan, learning material, and assessment. This condition indicated that students of Junior High School did not get any cultural literacy learning through English subject even though it was stipulated, and addressed in academic-related documents. This study proposed a possibility for teachers to insert cultural literacy for Junior High School students by introducing them to the classroom diversity.
Evaluation of ensemble learning method for handwritten digits recognition using dual Leap Motions

Recently, contactless input methods have been attracting attention. To meet such a demand, we focus on handwritten digits recognition. We install contactless hand tracking sensors on the lower and right sides of the subject's fingers and measure data from two directions for each subject’s handwritten digit. We analyze the three types of datasets composed of the data acquired by each sensor and the integrated data by using two types of machine learning models. Based on the results, we select combinations with high accuracy and construct an ensemble learning model. The classification accuracy achieves a maximum of 92.7%, applying the ensemble learning model with the integrated data.
Pengaruh Pengendalian Internal, Kesesuaian Kompensasi, dan Ketaatan Aturan Akuntansi terhadap Kecenderungan Kecurangan Akuntansi (Studi Pada SKPD Kabupaten Kota Administrasi Jakarta Timur)

Financial statements are a form of accountability, given the importance of the information contained in financial statements, financial statements must be prepared according to applicable accounting standards so that fraud does not occur. One of the acts of accounting fraud that results in inefficient budget abuse is budget wastage. So the purpose of this study is to determine the effect of internal control, compensation suitability, and compliance with accounting rules on the tendency of accounting fraud in SKPD Kota Administrasi Jakarta Timur Regency. The method used in this research is to use descriptive analysis and verification techniques. The population in this study were SKPD Kota Administrasi Jakarta Timur Regency employees, amounting to 70 people. The sample in this study used the total sampling method or saturated sample so that the entire population was sampled. The type of data used is primary data obtained from questionnaires distributed to all samples. The analytical tools used in this research are classical assumption tests, multiple linear regression analysis, coefficient of determination analysis, and hypothesis testing. The results of this study indicate that partial internal control has a significant effect on the tendency of accounting fraud in the Kota Administrasi Jakarta Timur Regency SKPD, the suitability of compensation has a significant effect on the tendency of accounting fraud in the Kota Administrasi Jakarta Timur Regency SKPD, and obedience to accounting rules has a significant effect on the tendency of accounting fraud in the Kota Administrasi Jakarta Timur Regency SKPD.
Evolution of Speech Recognition System--VoiceRex

Speech recognition is a key element of artificial intelligence for contact centers.It is now used in a wide range of scenarios, supporting business in various ways.Research and development of speech recognition has a long history and has been built upon various technologies to reach today's standards.We introduce the VoiceRex speech recognition system developed by NTT Media Intelligence Laboratories, its history, and some technologies employed in the latest VoiceRex system, which are much anticipated for use in contact centers.
Automatic Knowledge Assistance System Supporting Operator Responses

The variety and complexity of products and services handled by contact centers has increased recently, which places a heavy load on operators, as they must retain more information.This has led to decreasing operator retention rates.This article introduces an automatic knowledge assistance system that assists operators by automatically presenting appropriate information (knowledge) to them while they are handling calls.
Online Asynchronous Learning English for Specific Purposes Terminology

The pandemic and military actions in the country triggered our study in considering the challenges Ukrainian higher education faces referring asynchronous learning. We assume that the challenges are threefold – namely – psychological, technical (availability of means for providing asynchronous communication and technological (scientifically grounded methods of quality asynchronous learning). In our study the focus is on the methods of asynchronous learning specialized terminology. The background of the research was the study of the literature concerning benefits and limitations of asynchronous learning and implementing online courses into the learning process. The purpose of this research was to prove the effectiveness of asynchronous learning specialized vocabulary with the help of the Moodle-based course. The aim was achieved by fulfilling the following tasks: literary review to study the benefits and limitations of asynchronous and synchronous learning for finding the most suitable mode of communication for the Ukrainian students, to design a Moodle-based course, to verify it in the experimental learning. The experiment was conducted in 2020 in the time of Covid-19 pandemic at the National Technical University of Ukraine, Igor Sikorsky Kyiv Polytechnic Institute, and involved seventy students of the Power Engineering Department. The research purpose of both the article and the experiment was to assess the effectiveness of the developed online simulator which included audio recordings of native English specialists’ communication, interdisciplinary and industry-specific terminology, training tasks, and instructional guidelines. The outcome of the research proves the efficiency of applying an online simulator in the development of students’ professional competence in terms of adequate using interdisciplinary and industry-specific terminology.
BITCOIN, CURRENCY OF THE FREE MARKET

The purpose of this article is to present Bitcoin as a possible solution to many of the issues caused by having money administered by a monopoly. The introducing chapters of this article focus on demonstrating why monopolistic control over money will always limit freedom. Specifically, in regards to how the government has control over individual freedom through money. History has shown that people have sought ways to curb this kind of intervention on markets and in their lives - with Bitcoin being a result of their efforts. In the later chapters we aim to demonstrate why Bitcoin is such a significant step towards achieving a higher degree of individual freedom and we will support these claims through a series of technical, economical and philosophical arguments.
CONEXIUNEA MINTE, CREIER, CORP ÎN DOMENIUL EDUCAȚIEI

Our human development is due to several factors, such as the correlation between mind, brain, body. This correlation allows us to have a complex, integrative view of a series of phenomena occurring in our body and mind. To have a permanent state of well-being, it is necessary that between the mind, brain, body, and the immediate context in which we live and act to have a natural connection. When there is a discrepancy between the elements of this correlation, it goes without saying that a cognitive discrepancy is occurring. Effective communication from this point of view aims to direct the flow of energy and information towards a complex integration of the entire human development system. Our well-being owes much to this integration. The mind-brain-body connection most directly shapes our well-being. Knowledge of the human brain is necessary for effective communication in this field. Objectively speaking, until now everything related to the knowledge of the human brain has not been considered, most of the time in education. Somehow only external factors related to effective communication in education were considered.
The Emergence of Blockchain-Based Dynamic Consent in Patient-Centric Health Information Sharing and Health Research: Protocol for an Integrative Review and Instructions for Future Research and Innovation (Preprint)

<sec> <title>BACKGROUND</title> Blockchain has been proposed as a key technology to share health information and facilitate a shift towards more patient-centric research and decision-making. For instance, blockchain-based dynamic consent has been suggested as a potential solution to consent challenges encountered in longitudinal research and research repositories. However, blockchain-based dynamic consent is a relatively new concept, and it is not yet clear how well the suggested implementations will work in practice. While some studies and pilot projects explore blockchain technology in dynamic consent, there is no consensus on whether this technology can be effectively utilized with health or research data. </sec> <sec> <title>OBJECTIVE</title> To review current literature to identify implementations of blockchain-based dynamic consent, the impact of this technology within clinical settings, and to establish best practices for future research and implementations. </sec> <sec> <title>METHODS</title> This objective will be addressed using methods of integrative review. The PRISMA-P criteria were utilized as a basic framework to guide the review's structure and nature of reporting. The literature search will include six online scientific databases to identify papers explicitly addressing the design and implementation of blockchain-based dynamic consent solutions. The quality of studies will be appraised, and data will be extracted to identify themes. </sec> <sec> <title>RESULTS</title> This study will document evidence of effectiveness, efficiencies, and/or satisfaction with blockchain and dynamic consent technology used for health information. Several elements will also be collected about the implementation/commercialization stage, regulatory compliance, usability, and methods of managing identity. </sec> <sec> <title>CONCLUSIONS</title> This review aims to provide a comprehensive understanding of the progress of emerging blockchain-based dynamic consent solutions and the rigor with which implementations and prospective benefits are assessed. This literature review is expected to identify optimal approaches to implementing and studying the effectiveness of blockchain-based dynamic consent technologies. </sec> <sec> <title>CLINICALTRIAL</title> This protocol was registered with PROSPERO 2023 CRD42023396983, https://www.crd.york.ac.uk/prospero/display_record.php?ID=CRD42023396983 </sec>
Pendekatan Pemerosesan Informasi

Information processing is the process students use to collect information, monitor it, and develop information-related strategies using an approach that emphasizes memory and thinking patterns. The purpose of writing this article is to understand more thoroughly about information processing. The method used in this article is literature study. The result is, it can be understood that information processing is a way for people to process information, observe, and develop strategies based on that information. There are a number of teaching models of information processing theory. For students, information processing utilized in the field of stimulus control, acts as a collection of components of directive data, allowing students to realize solutions to concept development problems so that they can control stimuli.
DESIGNING LMS AND CMS FOR CRITICAL LITERACY COURSE

This second-year study which took place in 2022 aims to investigate, determine and design a learning management system (LMS) design through Moodle and Content Management System (CMS) through Google Sites for Critical Literacy course in Prodi Pendidikan Bahasa Inggris UNJ. Critical Literacy course aims to prepare the students to have the ability to interpret text critically and communicate actively in the multimodal context in a hybrid learning process. The study was conducted with the qualitative approach with The Successive Approximation Model (SAM) iterative phase research design. Throughout the Savvy Start and Iterative Design Phase, the phase rotated through design, prototype, and review to make sure students and lecturers can contribute and support the design direction. Forty-four students and one lecturer generates as participants in this study. Two kinds of modules were developed during the study, namely: (1) LMS on www.onlinelearning.unj.ac.id and (2) CMS on Google Sites. LMS and CMS modules for the Critical Literacy course were: (1) Defining Critical Literacy, (2) Literacy, Critical Literacy, Multi-literacy, Multimodal, (3) Data Literacy, Fact, and Hoax (4) Analyzing Multimodal Text (5) Reflective Notes (6) Mid-term Test (7) Analyzing Various Texts (8) Wrap Up (9) Final Semester Individual Project. These nine headings were categorized into four topics namely: Theories, Tests, Reflection, and Projects. The theories can be used to deliver learning materials and examples in the form of text, video, slides, QR codes, and websites. Meanwhile, the test could be used to provide assignments, exercises, and learning evaluations. Reflection was used to provide the students with opportunities to do both self- and peer-reflection on the learning processes. Finally, the projects were used to involve the students with problem-solving skills and self-regulated learning. The study’s findings showed that LMS and CMS could handle the complexity of teaching Critical Literacy in the digital environment. The Critical Literacy course should have attracted interest or participation from the students to familiarize, encourage, fulfill, assess, and comprehend the various texts. This LMS and CMS also provided students with class discussion, credible references, project-based activities, and criticism on literacy topics.
Cancer Symptoms Detection from Liver CT Images Using Multistage Pre-Processors

Visually cancer is the abnormal pattern with predefined structure could be found in liver Computed Tomography (CT) images. Using deep convolution neural network computation and image processing, this detected abnormal pattern cluster can be classified in different liver issue types. Full size liver CT scan images consisting different body parts, and these are ultrasonic based gray scaled image construction. The primary challenge in the cancer symptoms detection process is to extract the liver area out of image then finding out the actual area of abnormality to conclude whether abnormality is cancer or any other issues on liver. This is two stage processes, first is to segment the abnormality area and second is to perform pattern matching to identify the abnormality. This research paper primarily focuses on different pre-processing techniques and stages involved in liver abnormality segmentation.
ISSUES AND CHALLENGES OF TECHNOLOGY USE IN INDONESIAN SCHOOLS: IMPLICATIONS FOR TEACHING AND LEARNING

This paper mainly aims to explore issues and challenges in using technology to support teaching and learning in various schools located on three different islands in Indonesia, such as in Kalimantan, Nusa Tenggara, and Papua islands. The exploration was done through a holistic literature review of 30 national and local newspapers and online articles relevant to the aim of the study. We performed a peer-debriefing activity to present our review analysis to each other, comment on it, and made necessary revisions to our analysis to ensure the credibility of our review. While the results communicated various things, we could highlight some commonalities: unequal distribution of technology support or facilities in schools, creative ways to support teaching and learning practices regardless of the very minimum facilities that schools have, and continuous support from the Indonesian government and private sectors to improve school technology-supported facilities. We then discussed those commonalities in light of the relevant literature and their implications for teaching and learning to benefit school teachers or educational practitioners planning to teach in schools outside Java with minimal technological-related school facilities.
A Novel Approach to Cervical Cancer Detection Using Hybrid Stacked Ensemble Models and Feature Selection

Around the world, millions of women are diagnosed with cervical cancer each year. Early detection is very important to produce a better overall quality of life for those diagnosed with the disease and reduce the burden on the healthcare system. In recent years, the field of machine learning (ML) has been developing methods that can improve the accuracy of detecting cervical cancer. This paper presents a new approach to this problem by using a combination of image segmentation and feature extraction techniques. The proposed approach is divided into three phases. The first stage involves image segmentation, which is performed to extract the regions of interest from the input image. The second stage is comprised of extracting the features from the ROI with the help of the Histogram and Hu Moments techniques. The techniques used in this approach, namely the Hu Moments and Histogram techniques, respectively, can capture the shape information in the ROI. In the third stage of the project, we use a hybrid approach to classify the image. The proposed model is composed of several base classifiers, which are trained on varying subsets of the features that were extracted. These resulting classifiers then make a classification decision. We tested the proposed model against a large dataset of images for cervical cancer. The results of the experiments revealed that it performed better than the existing methods in detecting the disease. It was able to achieve an accuracy of 96.5%, an F1 score of 96.9%, and a recall of 96.7%. The proposed model was successful in accomplishing a remarkable accuracy of 96.5%, making it an ideal candidate for use in the detection of cervical cancer. It was also able to perform feature extraction using the Histogram techniques and image segmentation. The proposed method could help medical professionals improve the diagnosis and reduce the burden of this disease on women worldwide.
KEMAMPUAN BERBICARA DALAM MENYAJIKAN TANGGAPAN TEKS ULASAN MENGGUNAKAN METODE EXPRESSIVE WRITING THERAPY

This research was conducted due to the low ability of students to speak, including in presenting responses to review texts by considering structure and oral aspects. Factors causing this include a lack of confidence in expressing main ideas in front of the public, as well as the ineffectiveness of teaching methods used by educators. One teaching method that can improve students' self-confidence is expressive writing therapy. This study used a quasi-experimental method with pre-test and post-test designs and a control group. The research results showed that students' abilities improved in presenting responses to review texts by considering structure and oral aspects. There was an increase in the average pre-test score from 27.50 to 83.35 in the post-test for the experimental class. There was a significant difference in learning outcomes between the experimental class and the control class, with an average post-test score of 85.35 for the experimental class compared to 41.62 for the control class.
Analysis of the State and Effectiveness of Methodological Work in Educational Organizations of the City of Astana

The article deals with the problem of organizing methodological work in general education institutions, within the framework of the priority national project “Quality Education “Educated Nation”. Methodological work to ensure the activities of educational institutions should be a comprehensive system combining two types of education with vocational education. This is a training for heads of educational institutions and subject teachers, the content of which involves the formulation and proper implementation of the national priority project national project “Quality Education “Educated Nation” and subsequent interaction with the teaching staff. The article describes a model of organizational and methodological support for teaching staff in Astana. To identify the state and directions of the organization of methodological support of teachers in Astana, an empirical study was conducted. As part of the study, a survey of managers and teachers of all secondary education organizations in Astana was conducted to compare the implemented models of organizational and methodological support and compare the responses of managers and teachers for a complete analysis of the pros and cons of the existing model. The responses of managers (as organizers of methodological support) and teachers (as receiving methodological support) were compared to find out how the model of methodological support is implemented in practice, and which factors determine the effectiveness of methodological work.