Reviewerly/exHarmony huggingface dataset:
Pengukuran Usability pada Website SMK Ma'arif 3 Somalangu Kebumen Menggunakan System Usability Scale (SUS)

In the world of education, websites have a very important role in providing information related to the website owner's institution and can also be a medium for promotion. One of the websites we researched was the website of SMK Ma'arif 3 Somalangu. We consider that visitors or users also have a big influence on the website. Some of these reviews encourage us to choose the SUS (System Us-ability Scale) method in analyzing the use of the SMK Ma'arif 3 Somalangu website. From the results of measurements and analysis that have been carried out using SUS, the validity test states that it is valid with the results of Rhitung&gt; Rtabel on the questionnaire items and in the Reliability test with the results of 0.637 which states the results are re-liable. The results showed that the score on the website of SMK Ma'arif 3 Somalangu is 97.43, which gets the predicate A, the Best Imaginable category, while the level of acceptance (feel) of visitors is margin high. The results describe that it is considered that the website of SMK Maarif 3 Somalangu is considered effective, efficient and satisfying for users/visitors and easy to use.&#x0D;
BLOCKCHAIN TECHNOLOGY AND SUSTAINABLE DEVELOPMENT GOALS

ABlockchain is an emerging technology from the Fourth Industrial Revolution that has the potential to be applied to different sectors and address issues related to sustainability. However, research on Blockchain has tended to focus on its technical characteristics, with no studies analysing its positive and negative impact on sustainability. This article presents an analysis of how this technology can help to achieve each one of the different Sustainable Development Goals (SDGs), along with a series of case examples that can serve as a model; as well as an identification of the negative impacts that the Blockchain has for sustainability. The findings of this study are useful for engineers, since they identify the technological aspects of BC that need to be improved; for company managers, since they can appreciate the positive impact that this new technology could have on sustainability if it is applied correctly; and for politicians, to whom it poses a series of challenges and the need to carry out regulatory reforms.
Integrated Art and ESP Project in Ukraine

Abstract—The article describes an integrated art and English project for specific purposes on the topic “Academic Conferences” used for teaching future Ukrainian engineers in the winter of 2022. The project finished right before the war in Ukraine began. The sample size included 90 third-course future chemical engineers who study English for specific purposes. This study investigated the benefits of the project for future engineers, the role of the art practices used, as well as students’ perceptions of the project. Online questionnaires, observations and interviews were used. The results showed that the project improved students’ confidence in different conference-related skills and had a positive influence on the professional language skills development of future engineers. Art practices used in the project made learning memorable, contextualised and authentic. Art-related activities promoted professional communication and fostered the use of 21st-century skills such as cooperative, creative, critical and digital skills. The main hypothesis was supported and the project was effective due to the combination of project-based learning, art enhancement and integration, and specially chosen job-related art and ESP connections. The findings indicate an overwhelmingly positive response from the learners about this project and their interest in future art and ESP integrated projects. However, the study also revealed that students need additional support for developing XX cooperative, time management and writing skills as well as for working with authentic materials.
The core of the matter: How do scientists judge trustworthiness of physical samples?

In recent years, research funding agencies, universities, and governments have become increasingly concerned with promoting the reuse of research datasets. Enabling researchers to evaluate the trustworthiness and fitness-for-use of research datasets produced by others is critical for facilitating the reuse of these datasets. Understanding how researchers make these evaluations is crucial for developing digital infrastructure and tools, such as data repositories and metadata schema, in a way that better supports researchers in making these evaluations. Physical samples such as rocks are critical for generating datasets in many scientific domains. Often, samples are collected on field expeditions conducted by large infrastructural projects. These projects comprise many human and non-human components that affect the quality and integrity of samples. However, little is known about whether and how prospective dataset users evaluate the samples' trustworthiness and sample collection processes underlying these datasets. Researchers‘strategies for evaluating sample trustworthiness are explored through a longitudinal qualitative case study (ethnographic observation, interviews ( n = 66), and document analysis) of subseafloor biosphere research, an earth sciences domain. Domain researchers use rock samples collected on research cruises conducted by the International Ocean Discovery Program (IODP). Subseafloor biosphere researchers are primarily concerned about samples being compromised by microbiological contamination. Researchers vary regarding the components of IODP infrastructure they consider when evaluating sample trustworthiness. These components include methods to process samples, people handling samples, IODP policies and procedures, and IODP organizational politics. Researchers‘strategies vary according to their disciplinary background, with microbiologists employing more fine-grained judgments about methods; whether researchers have participated in IODP expeditions, with those who have employing more fine-grained judgments about people involved; and whether researchers have ever been involved in organizing cruises or serving on IODP committees, with those who have employing more fine-grained judgments about many aspects of cruises. Researchers who make less complex decisions may be prone to erroneously trusting contaminated samples; researchers who make more complex decisions may be prone to erroneously discarding uncontaminated samples. The paper concludes by considering implications for the design of digital infrastructures to support researchers in evaluating sample trustworthiness.
Teknik Segmentasi untuk Mengidentifikasi Kelainan Jantung pada Citra Rontgen Dada

The annual death toll from heart disease is 17.5 million people. Currently, heart disease is a prevalent condition that kills a lot of people and shortens people's lives. Life is based on the work of the heart, since the heart is a much-needed part of our body where life is impossible. Heart disease affects heart function and can lead to death or annoy the patient before deathThe use of contemporary medical imaging methods like computed tomography (CT), ultrasound, and magnetic resonance imaging (MRI), as well as X-rays, is now commonplace. These methods enable non-invasive qualitative and quantitative assessment of the anatomical structure and function of the heart and support diagnosis, disease monitoring, treatment planning, and prognosis. The purpose of this study is to find heart problems in patients. The data used in this study were chest X-rays of patients with normal heart conditions and chest X-rays of abnormal heart patients obtained from the kaggle website. Segmentation techniques are used to process these cardiac images. Segmentation is the process of separating between an object and another object or between objects and the background contained in an image. Then the calculation of the area of the heart area is carried out using the extraction of morpological and regional features method characteristics with an algorithm that has been developed. The results of this study can identify heart defects through the process of measuring the area of the heart normal and abnormal. So that it produces a good accuracy rate of 85%. This segmentation technique is proven to be very good so that it can be a medical reference to perform further medical actions against abnormalities in the heart.
Tongkonan as A Digital Community Literature Center: Empowerment of the Youth Generation of Lembang Lempo Poton, North Toraja

The children from the alpha generation had intensive interaction with various technological equipment, making their acceptance of technology higher than the previous generation. The alpha generation was more attracted to using digital literacy than the conventional literacy system. However, Indonesia's Digital Literacy Index (IDL) is still in the medium category. Lembang Lempo Poton is one of the districts with ground-level IDL values. This area was chosen as the location for implementing the XXXVIII UKI Toraja Student Community Service Program, where one of the programs launched in KKN is learning assistance. This research aims to learn about the role of the Community Service Program in empowering the youth generation of Lembang Lempo Poton, especially in digital literacy knowledge, and represent the value of Tongkonan as the community literature centre. The method used in this research is the qualitative method which uses participatory approaches. The data used in this research is primary data. This research result is shown that the effort to present digital literacy on Lembang Lempo Poton is not easy, but it can be solved by supporting all stakeholders. The research found that the development of learning facilities has a positive impact on helping the student learning process better. It can conclude that creating Tongkonan as the community centre for developing digital literacy for the youth generation on Lembang Lempo Poton has a significant impact.
HOW TO EMPOWER ONLINE TEACHING: 12 PRINCIPLES FOR HIGHER AND POSTGRADUATE EDUCATION

The global pandemic COVID-19, which began in 2020, has brought about new challenges to Ukraine’s higher and postgraduate education institutions. Despite the previous experience of providing online education courses, one of the main challenges to these institutions now remains to perform effective online teaching, which requires a proper theoretical and instructional basis. The study aims to outline efficient online teaching principles and best practices of how online teaching can provide effective interaction in the virtual online classroom with the aid of online learning management systems, online educational technologies, and digital learning tools. The article suggests a framework of twelve principles of effective online teaching determined for higher and postgraduate education that is deployed at five levels grouped according to specific online teaching issues (Level 0. Lecturer readiness, Level 1. Course planning, Level 2. Students’ facilitation, Level 3. Course content dissemination, and Level 4. Course feedback). Each identified principle at every level is covered with examples of specific teaching methods and best practices of how it is used to enhance the effectiveness of online teaching in higher and postgraduate education. To perform most effectively in an online education context, every lecturer should use each level from the developed framework and each principle from the level. However, even a partial application of certain principles will increase the efficiency of the online teaching process. The suggested five-level framework of twelve principles will be helpful for lecturers, professors, and other academic staff of universities and institutes of higher and postgraduate education when providing online and distance education.
BIBLIOMETRIC ANALYSIS IN DETERMINING THE RESEARCH DIRECTIONS OF EARLY CAREER RESEARCHERS

The paper offers an overview of publications on the use of bibliometric analysis in various scientific studies. It was found out that the use of the scientific mapping tool to carry out such analysis at the stage of identifying early career scientists’ research directions has not been previously explored. A sample statistical survey of 68 supervisors of Master’s research from the National University of Life and Environmental Sciences of Ukraine and Ternopil Volodymyr Hnatiuk National Pedagogical University revealed that research supervisors with little experience, as well as supervisors in the field of social sciences and the humanities, lag behind in the use of channels and tools of modern digital scholarly communications. It is suggested that the use of built-in tools of bibliometric systems for systematic analysis aimed at determining the directions of Master’s research will contribute to the quality of Master’s theses, and hence to the development of university science in the context of its integration into the global research space. The authors propose a case of applying scientific mapping for the queries for search of scientific publications in Scopus and Web of Science (WOS) scientometric databases, based on the research areas of the Department of Informatics and Methods of Its Teaching of Ternopil Volodymyr Hnatiuk National Pedagogical University. The paper describes approaches to the use of VOSviewer to produce terminological maps based on concepts occurring in the titles, keywords and abstracts of the relevant sets of scientific publications. Since the Department offers Master’s programs for students majoring both in Education/Pedagogy (014 Secondary Education (Informatics)) and Information Technology (122 Computer Science), on the basis of the analysis of links in thesauri from the Web of Science and Scopus data sets the authors identified research directions and provided examples of research themes for Master’s theses majoring in Educational Technology and Information Technology, respectively. The results of the conducted survey and in-depth interviews with Master’s students’ research supervisors showed the expediency of expanding the pedagogical experiment aimed at the development of the methods of systematic literature review at various stages of working on a Master’s thesis, involving the use of a wide range of bibliographic analysis tools. The results presented in the paper can be useful both for early career researchers and their research supervisors.
Special Section Guest Editorial: Advances in High-Dimensional Medical Image Processing

Guest Editors Ivana Išgum, Bennett A. Landman, and Tomaž Vrtovec introduce the JMI Special Section on Advances in High-Dimensional Medical Image Processing.
Chaotic image encryption algorithm based on bit-plane and DNA multiplex operation

Abstract A novel bit-plane chaotic image encryption algorithm is proposed further to improve image encryption systems' security and anti-attack ability. This paper combines bit layer scrambling and Deoxyribonucleic Acid (DNA) encoding. In this paper, we design a novel bit-plane scrambling method using parity alignment and plaintext correlation chaotic sequences, which can significantly reduce the correlation between image pixels and the correlation between RGB layers. Then the intermediate ciphertext is DNA encoded by hyper-chaotic sequences with plaintext correlation, after the designed multiple operation diffusion, the ultimate ciphertext is generated. Furthermore, devised a new way of generating keys, which are highly correlated with plaintexts. This increases the algorithm's resistance to selective plaintext attacks. According to the simulation results, this paper's proposed image encryption algorithm can effectively resist differential and statistical attacks, has ample key space and sensitivity, and has ideal information entropy.
Pedagogical algorithm for the development of professional competence of employees working with convicts - former law enforcement officers

Abstract. The relevance of the study is due to the fact that highly qualified personnel are needed for the productive functioning of the penal system. Employees of the penal system should not only have specific professional knowledge, skills and abilities, but also be sociable, since the basis of their official activity is pedagogical communication aimed at correcting convicts of various categories.&#x0D; To ensure successful professional activity, employees working with convicts – former law enforcement officers need to have a high level of professional competence. In order to solve this problem, a pedagogical algorithm for the development of professional competence of employees was developed, which is a set of sequential actions aimed at achieving results, namely, increasing the level of formation of professional competence of prison staff. The main research methods are modeling, conversation, testing, and the method of expert evaluation.&#x0D; The importance of gradual formation of professional competence in the correctional system is emphasized. The pedagogical algorithm for the development of professional competence of employees of specialized establishments consists of four main stages (initial, diagnostic, organizational developmental, effective). The strict sequence of the algorithm implementation will help to improve the efficiency of the professional activities of employees in correctional institutions for the detention of convicts – former law enforcement officers.&#x0D; In the course of the research, the algorithm proved its effectiveness, since after its implementation there is an increase in the level of formation of professional competence of employees of a specialized institution.&#x0D; The obtained results showed that the effectiveness of activities for the re-socialization and correction of convicts of various categories directly depends on the professionalism of correctional staff.
An improved mayfly algorithm and its application

An improved version of the mayfly algorithm called the golden annealing crossover-mutation mayfly algorithm (GSASMA) is proposed to address the low convergence efficiency and insufficient search capability of existing mayfly algorithms. First, the speed of individual mayflies is optimized using a simulated annealing algorithm to improve the update rate. The position of individuals is improved using the golden sine algorithm. Second, the impact of using different crossover and mutation methods in the algorithm is compared, and the optimal strategy is selected from the algorithm. To evaluate the performance of the algorithm, simulation experiments were carried out for 10 different test functions, and the results were compared with those of existing algorithms. The simulation results show that the algorithm developed in this paper converges faster and the solutions obtained are closer to the global optimum. Finally, GSASMA was used to optimize a support vector machine (SVM) that was used to identify the P300 signal for five subjects. The experimental results show that the SVM optimized by the algorithm proposed in this paper has higher recognition accuracy than an extreme learning machine.
Research on splicing method of temperature distribution curve of EHV–UHV long string porcelain insulators

The infrared thermal image detection method has unique advantages in the field of low zero value diagnosis of porcelain insulators. However, since the length of the extra–ultra-high voltage (EHV–UHV) porcelain insulator string can reach more than 10 m, it is difficult for common industrial thermal imagers/airborne lenses to clearly capture the infrared spectrum of the full string of EHV–UHV porcelain insulators. In order to solve this problem, this paper proposes a two-segment temperature curve splicing method based on weighted data fusion. The method avoids the problem of missing targets existing in conventional infrared image splicing methods and has higher fitting accuracy than curve splicing methods such as rounding splicing and midpoint splicing. This paper takes a 1000 kV insulator string as an example to illustrate the basic algorithm and process of the proposed curve splicing method and takes a 500 kV insulator string as an example to carry out a comparative study of various curve splicing methods, which verifies the effectiveness and feasibility of the proposed method.
Time-Frequency Signal Synthesis and Its Application in Multimedia Watermark Detection

&lt;p&gt;We propose a novel approach to detect the watermark message embedded in images under the form of a linear frequency modulated chirp. Localization of several time-frequency distributions (TFDs) is studied for different frequency modulated signals under various noise conditions. Smoothed pseudo-Wigner-Ville distribution (SPWVD) is chosen and applied to detect and recover the corrupted image watermark bits at the receiver. The synthesized watermark message is compared with the referenced one at the transmitter as a detection evaluation scheme. The correlation coefficient between the synthesized and the referenced chirps reaches 0.9 or above for a maximum bit error rate of 15% under intentional and nonintentional attacks. The method provides satisfactory result for detection of image watermark messages modulated as chirp signal and could be a potential tool in multimedia security applications.&lt;/p&gt;
People, ideas and stories of soils research: a brief overview

The article highlights the exceptional importance of soils in the modern world and the importance of scientifi c research in soil science, which can be an important means of solving social problems.It is shown that soil resources, as the basis of agricultural development, are the long-term capital through which different nations exist and develop.The current state of soils can serve not only as a characteristic of the development of society, but also as a criterion for assessing the activities of government and social stability of the country.
Forensic Psychological Analysis of Call Recording in the Sextortion Case Using LVA Technique – A Crime Case Study

There were 4.66 billion active internet users globally in January 2021, accounting for 59.5 percent of the global population. 92.6 percent (4.32 billion) of this total used mobile devices to access the internet (Johnson, 2021). With the growing number of internet users and social media platform users, cybercrimes are also growing with new forms coming in now and then. One of the recent trends is Sextortion on social media platforms. Fraudsters ask potential victims to have a nude video call on WhatsApp and they record the act. Then they demand money for not posting it on social media platforms. And they even threaten to send video clips to family members. Trapped victims generally pay the money to get away with the situation. In the present study, one of the victims submitted his call recording with the fraudster, who was claiming to be a major law enforcement agency officer. The fraudster tried to extort the money from the victim on the pretext of taking down the viral video of him in WhatsApp chat. The present research paper is attempting to analyze the audio clip in the Layered Voice Analysis (LVA) Technology. The research paper has explained the analysis process of computerized voice stress analysis of the audio clips. The research paper concluded the case study by explaining the incident through Routine Activity Theory. Analysis of the crime study has proved that fraudster was deceptive in the audio clip using the LVA Technique.