Reviewerly/exHarmony huggingface dataset:
Kriptopara Madenciliğinin Çevresel Sürdürülebilirlik Üzerine Etkileri

Cryptocurrencies derived by a cryptographic blockchain technology have shown an impressive growth in market value and trading volume over the last decade, leading to a significant transformation in financial markets. These digital assets do not only produce satisfactory returns for investors but also guarantee quick transfer of ownership by its decentralized, safe, and flexible system. However, the growing popularity of cryptocurrencies also brings several challenges and concerns for environmental sustainability due to high energy consumption, carbon emission and electronic waste generated by crypto-mining process. This study discusses the effects of crypto mining on environmental sustainability, particularly focusing on global warming and climate change. The findings show that crypto-mining has negative effects on climate change and air pollution by its increasing electricity consumption, carbon emission and electronic waste and may seriously influence the sustainability of crypto-markets and environmental eco-system. Thus, policy makers should take innovative actions to increase the efficiency of the hardware used in crypto-mining, introduce minimum standards, impose new regulations i.e., carbon emission tax and encourage increasing use of renewable energy sources for crypto-mining to preserve environmental sustainability.
Continuous-time probabilistic models for longitudinal electronic health records

Analysis of longitudinal Electronic Health Record (EHR) data is an important goal for precision medicine. Difficulty in applying Machine Learning (ML) methods, either predictive or unsupervised, stems in part from the heterogeneity and irregular sampling of EHR data. We present an unsupervised probabilistic model that captures nonlinear relationships between variables over continuous-time. This method works with arbitrary sampling patterns and captures the joint probability distribution between variable measurements and the time intervals between them. Inference algorithms are derived that can be used to evaluate the likelihood of future using under a trained model. As an example, we consider data from the United States Veterans Health Administration (VHA) in the areas of diabetes and depression. Likelihood ratio maps are produced showing the likelihood of risk for moderate-severe vs minimal depression as measured by the Patient Health Questionnaire-9 (PHQ-9).
innovative framework for the recognition of human activity in smart healthcare

Health services are one of the most difficult aspects of the massive influx of people into urban centers. With global digitization, especially in healthcare, the ability to collect, receive and present data has become a top priority. Currently, many applications in the healthcare business use Machine Learning to give individualized therapies, which will be more dynamic and efficient once personal health and predictive analytics are combined. Furthermore, machine learning-based tools aid in the treatment of patients starting at the ground level, with clinical practice diagnosis and suggestions. Massive amounts of data may be collected from smart devices in our digital age. Human activity recognition is a classification problem in which data is used to identify events performed by humans. This data is categorized and analyzed to discover patterns in the data that may be used to create future predictions. In theory, activity detection can provide significant societal benefits. Activity recognition and pattern discovery are two aspects of human activity comprehension. The first is concerned with detecting human activities accurately using a specified activity model.
A Study on Vocabulary Learning for Young Learners in Gwynfor English Course Jombang in The Academic Year of 2021/2022

This research is based on learning vocabulary in A 1 class of Gwynfor English Course Jombang. Most of students complain that the teaching activities are very boring. Moreover, speaking skills require a lot of practice so that students are fluent in English. vocabulary is a core part of language skills and provides much of the basis for how well students speak, listen, read and write. Many students in Indonesia are difficult to understand English lessons properly, their main obstacle is the lack of vocabulary mastery. The problem of this research how are the teachers make learning English easy to understand and how are the processes of learning vocabulary in Gwynfor English Course Jombang. The researcher uses the descriptive qualitative method. In this study the researcher found some ways that used in by the tutor in teaching vocabulary learning in A 1 class are using songs, games and pictures.
K-Variant Architecture to Improve Security of Web Services and Applications

The K-variant is a multi-variant architecture to improve security against memory exploitation attacks. Unlike other multi-execution architectures, variants in the K-variant architecture are generated by program transformations at the source code level. Because variant generation processes can be automated, the cost of systems has significantly decreased compared to similar architectures such as N-version. Multi-execution architectures were designated to improve the security of the mission and safety-critical systems. However, to meet the high-security requirements of organizations and companies, multi-execution architectures have been utilized to enhance the security of web services and applications. The increasing number of memory-related vulnerabilities in web servers and services makes systems vulnerable to memory exploitation attacks. The K-variant architecture can provide statistical security for memory exploitation attacks by providing a diversity of critical data in memory. In this paper, the design of a K-variant architecture for web services and applications is proposed. Also, different levels of diversities in K-variant systems are discussed in the implementation of the K-variant architecture.
Abstract Translation in Scientific Writing by Non-English Major Student using Google Translate

The main purpose of this research is to find out Google Translate errors when translating bachelor's paper abstracts from Indonesian to English. Six abstracts of Non-English major undergraduate student papers from diverse faculties Sekolah Tinggi Ilmu Kesehatan Siti Khadijah Palembang were chosen at random. Following that, the data is compared for each sentence segment, as well as any words or phrases with problems are investigated. The result shows that the primary errors of abstract translations include lexicosemantic, tense, preposition, word order, distribution, and use of verb group, as well as active and passive voice errors. Abstract translation outcomes deviate significantly from expectations. Both translating English writings into Indonesian and Indonesian texts into English takes advanced translation abilities. Regarding translation, several factors should be considered; they include the linguistic system utilized for both languages and the cultural understanding of the two languages. In the case of scientific writing translation, involve a translator in improving the quality of translation. In terms of academics, it is recommended that further research be done on comparable challenges in abstract translation, but with more variety from diverse sources.
EDUCATIONAL PROGRAMMES FOR STUDENTS OF HUMANITARIAN SPHERE IN VUCA WORLD VIA FORESIGHT (INTERNATIONAL EXPERIENCE)

The article deals with the role of foresight method in two dimensions via planned and pursued perspectives in education. The authors present trends in identifying VUCA world as the opposition and inevitable part of SPOD world penetrating into the process of training students of humanitarian sphere. The experimental work over surveys among students of the Foreign Languages Department (92 students of 2019–2020 academic year) showed the following results: Students see the potential for self-development and self-education, but do not associate it with the educational system at the university because of its weak focus on the challenges of modern times in the VUCA world; the education system in the modern period of its development should take the development of flexible skills of a universal plan for the development of sociability, readiness to change and think critically into account; the foresight method is relevant in the formation of the image of a future specialist on the basis of existing realities, making it possible to see the existing disadvantages of education. The authors suggest elaborating the modernized educational programme based on foresight method as means for developing required soft skills of students in humanitarian sphere. The article contains the existing international experience in the focus of research.
An Adaptable Ontology for Easy and Efficient University Data Management in Niger Delta University

The structure, variety and quantity of some current web content are limited in efficient exploration due to difficulty in searching and locating a specific content. A case is the Niger Delta University where there is no unified online structure holding relevant university data. This is because there is no common data model to manage the data for which such query can easily be interpreted semantically. Therefore, this paper presents the application of semantic web technology for the unification of university data management. This research prepares the ground for the advent of software agents and other applications that require structured data for their computational processes. The ontology development follows an iterative path of the Object-Oriented System Analysis and Design (OOSAD) methodology. SPARQL was used as the query language for testing the ontology. The result is a semantically structured data that is deployable and can be expanded and adapted in other institutions.
The Correlation Between English Language Learning Strategies And Students Thinking Style At The Second Grade Of Man 1 Kolaka

This research was conducted at MAN 1 Kolaka. The objective of this reaseach is to find out information and data weather there is any correlation between English language learning strategy and students’ thinking style at the second grade AGAMA I of MAN 1 Kolaka. The research design is descriptive quantitative. The data were collected through questionnaires. English Language Learning Strategy at the second grade AGAMA I of MAN 1 Kolaka are Metacognitive with the total frequency is 47% percent and Studets’ Thinking Style are Extrovert with the total persentage is 53%. The Population of the research was the second grade students of MAN 1 Kolaka and the sample of the research was class AGAMA I which consisted of 15 students. The data analysis used in this research was product moment formula which showed that there was no any correlation between English Language Learning Strategy and Students’ Thinking Style. It could be synthesized that hypothesis were r-count was lower than r-table. So H1 was rejected and H2 was accepted. The coefficient Correlation between English Language Learning Strategies and Students’ Thinking Style did not have any significant correlation with the r-count = -0,218 was lower than r-table 0,514 at the significance level 5% and degree of freedom (df) was 15 (-0,218&gt;0,514). Therefore, it was categorized as low correlation. H0 and H1 was rejected and H2 was accepted.
Augmented Reality in Chemistry Education: A Literature Review of Advantages on Learners

Education moves forward together with technology. In recent years, application of modern technology known as Augmented Reality (AR) has significantly shifted the paradigm of learning process in education, including Chemistry education. Many researchers have explored the potential of AR in education. Unfortunately, literatures on its benefits for leaners in Chemistry education are limited and inaccessible. This research-based paper manifests underlying usefulness of AR in teaching and learning process of chemistry education in terms of (i) Mastering chemistry content and (ii) motivation, interest and attitude. The researchers aspired that with the contents of this paper, other researchers and interested parties could use them for their literature and as incentive to improve current available AR software or develop further advance technology program of AR in chemistry.Keywords: augmented reality, chemistry, education, technology, advantages.
Age Estimation and Gender Recognition Technique Using Deep Learning

Abstract: Using a neural convolution network, this research presents an automatic system for recognising age and gender based on a person's face. In recent years, one of the most effective research subjects has been collecting information from a person's face. The human face has facial features such as eyes, ears, nose, chin, and other aspects that can be examined based on our requirements. The detection of age and gender begins with facial recognition. Detection is the process of identifying many features based on a single input. Our system makes use of OpenCV and includes a few deep convolutional emotional networks that have been trained to detect faces from inserted images and predict their age and gender using either a webcam or an image. Not only are deep neural convolutional networks costly, but they are also difficult to implement. Keywords: Age Estimation, Gender Detection, Deep Learning, Webcam, Convolutional neural network, OpenCV.
ANALYSIS OF THE EU CYBERSECURITY ACT UNDER THE THEORY OF NEOLIBERAL INSTITUTIONALISM

Wannacry Ransomware epidemics have attacked several high-profile companies in European Union creating an EU-wide cybersecurity crisis in the digital economy and social order. In response, European Union established an appropriate regulation in cybercrime namely The Cybersecurity Act. The Act as an international regime does not only gives a permanent mandate that strengthens European Union Agency for Network and Information Security (ENISA) but also establishes The EU Cybersecurity Certification Scheme in order to increase cybersecurity and build cyber resilience in the European Union Digital Single Market. This paper investigates how does the Cybersecurity Act as a business law in maintaining cybersecurity aspect on the European Union Digital Single Market through the theory of neoliberal institutionalism as a framework of thinking. After a series of conduction of literature reviews, this research argues that The Cybersecurity Act would be an appropriate regulation in dealing with the cybersecurity crisis in the digitalized market order. The standardization in The EU Cybersecurity Certification Scheme regulated by The Cybersecurity Act would improve cybersecurity and build cyber resilience in the European Union Digital Single Market.
Artistic and Figurative Thinking in the Structure of Educational Activity of Future Masters in Music Art

The purpose of the article is to reveal the neuropedagogical aspects of artistic and figurative thinking of future masters of music in the structure of their educational activities. The neuropedagogical approach as a scientific direction is still in its infancy and needs significant support in the educational environment. The degree of demand for continuous education of music specialists to make the right methodological decisions in their professional activities is emphasized. Artistic thinking in the system of training masters in music is a priority and is one of the most important tasks of their educational process at this scientific level. But the search for innovative methods of artistic and figurative perception of musicians is often complicated by an empirical approach to solving this problem.&#x0D; The specifics of neuropedagogical training for the development of artistic and figurative thinking of higher education students, which is associated with the creative interaction of teacher and student is analyzed. The regularities of training future musicians which are due to the need to solve problems for the development of creative musical and professional thinking are revealed. The importance of interdisciplinary integration of humanitarian, music-theoretical and special knowledge is emphasized, which is the basis for the formation of a high level of professionalism of future masters in music. The interaction of intellectual, auditory and emotional components in the process of development of artistic and figurative thinking of the future musician is substantiated.
Analisis spasial temporal zona rawan kekeringan lahan pertanian berbasis remote sensing

A mapping model of drought-prone zones for agricultural land based on Geographic Information Systems is needed to determine the distribution of drought vulnerability levels that occured in Bantul Regency, DI Yogyakarta. This study aims to determine the estimated area of agricultural land drought based on the interpretation of aerial images. This study compares the performance of the drought potential index of agricultural land using the Normalized Difference Drought Index (NDDI) algorithm based on remote sensing technology/ Landsat 8 satellite imagery to identify the estimated zones indicated for agricultural land drought that occurred in Bantul Regency, based on trends in spatio-temporal data with recording intervals from the 2015 until 2020 data representative during the dry season. Comparisons were made by looking at the performance between indices extracted from Landsat 8 imagery data based on the value of the green vegetation parameter/ Normalized Difference Vegetation Index (NDVI) and the soil and vegetation moisture parameters/ Normalized Difference Water Index (NDWI). The method used in this research is descriptive correlative method: quantitative and qualitative deductive using geostatistical indicators based on big data analysis to measure and compare various data variables spatio-temporal. The distribution of agricultural land drought through the NDDI index transformation method on a normal, mild, moderate, to severe scale occurs in almost all areas of Bantul Regency. This happened, due to the influence of natural activities of the global climate phenomenon ENSO, the impact of the transition of the El Nino phenomenon to La Nina (wet drought) which was more dominant in 2016. The average area affected by drought in Bantul Regency on a normal scale affected was ± 6.500,49 ha, affected by mild drought was ± 17.192,16 ha, affected by moderate-scale drought was ± 8.636,155 ha, and affected by drought of heavy scale agricultural land was ± 2.407,485 ha.
Correction

This article refers to:“Hearing” ahead of the sound: How musicians listen via proprioception and seen gestures in performance
The Rapid Writing Strategy in Writing Classroom during the Covid-19 Pandemic

Writing skill is an ability to share an idea in written text based on the genre of the text, the rapid writing strategy is one of appropriate strategy to make a good paragraph especially in descriptive text because most of the participants are from rural area and different writing achievements. The aim of this research is to investigate the procedure of the rapid writing strategy behaves in the teaching-learning of writing skill. Researcher descriptively used the qualitative method that specifically uses a case study design by observing the field via Whats App platform. The instrument of this research is observation checklist and taking notes to get a complete data either from personal or group Whats App. The teacher and students activities inside and outside the class becomes a primary source of data. Results, the rapid writing strategy is a fast writing practice strategy without paying attention to what has been written in advance so that writing is completed quickly and completely the rapid writing strategy helps students explore writing more without worrying about grammatical accuracy, content and vocabulary for students to do tasks in descriptive text. In addition, this strategy makes teachers more motivated, interested and fun in teaching-learning process of writing skill. Keywords: Writing, rapid strategy, teaching-learning, descriptive text. Writing skill is an ability to share an idea in written text based on the genre of the text, the rapid writing strategy is one of appropriate strategy to make a good paragraph especially in descriptive text because most of the participants are from rural areas and different writing achievements. The aim of this research is to investigate the procedure of the rapid writing strategy behaves in the teaching-learning of writing skills. The researcher descriptively used the qualitative method that specifically uses a case study design by observing the field via Whats App platform. The instrument of this research is an observation checklist and taking notes to get complete data either from personal or group Whats App. The teacher and students' activities inside and outside the class become a primary source of data. Results, the rapid writing strategy is a fast writing practice strategy without paying attention to what has been written in advance so that writing is completed quickly and completely the rapid writing strategy helps students explore writing more without worrying about grammatical accuracy, content, and vocabulary for students to do tasks in descriptive text. In addition, this strategy makes teachers more motivated, interested, and fun in the teaching-learning process of writing skills.
Technology Augmented Reality Integration Hydrometeorology (TARIH) as Media Solution in Disaster Management for Physics Teacher Candidate

This study aims to develop Augmented Reality Integration Hydrometereology (TARIH) technology as a learning media solution for disaster management from an early warning to the effects of land subsidence. The research method used in this study is the Model ADDIE (Analysis, Design, Develop, Implement, and Evaluate). The chosen subjects of the current study were 69 physics teacher candidates aged 21-23 years at a university in Jakarta and Banten, Indonesia. Based on reliability tests obtained in this line of research, the findings disclosed that the response to the application of TARIH as media in hydrometereology learning, the reliability of the System Quality aspect was 0.69 and the mean was 4.43. Most importantly, the reliability of the information quality aspect was 0.43 and the mean was 4.39 and the reliability of the service quality aspect was 0.74 and the mean was 4.45. Based on results obtained in this line of research, the study indicated that TARIH media can be used as a learning media solution in Disaster Management from an early warning.Keywords: technology augmented reality integration hydrometeorology (TARIH), learning media, disaster learning media, physics teacher candidate.