Reviewerly/exHarmony huggingface dataset:
Electronic gaming technologies in professional education

Purpose of the article: analysis of the experience of implementing electronic gaming technologies in professional education. Methodology: an increase in the use of innovative electronic tools (in percentage) over a five-year period was revealed, a survey was conducted, which made it possible to establish the influence of electronic gaming technologies on the formation of digital and professional competencies of students of higher educational institutions. Results: electronic gaming technologies and digital tools used in the process of vocational training expand the opportunities for training competitive specialists.
The Occupational Health Nursing Education Components Most Influenced by Informatics Technology Based on Gamification and Fogg's Models: a Case Study in Indonesia

The rapid development of informatics technology (IT) in healthcare in the digital era has not been in line with the development of industrial nursing informatics education in Indonesia. The discrepancy is disturbing the operational activities of nursing clinicians who stand between the need of client, business, and the quality of services. The objective is to explore the benefit to the largest components of education that have changed due to IT interventions. This research used the Case Study method. The instrument was a case management version of the American Board of Occupational Health Nursing (ABOHN). The purposive sampling population was 350 nurses and nursing students who filled a questionnaire based on the Likert Scale, focused on the influence of IT on OHN education. The supporting data was from 15 major campuses in Indonesia that have nursing majors and IT departments, also from ABOHN and other OHN international bodies. The data was processed by the Statistical Package for Social Sciences (SPSS) 25 version, in the table of Pearson Correlation. Gamification and Fogg's Behavior models were used to identify the influence of IT on OHN education. The data analysis showed a significant impact of IT on OHN education with a value of 0.782. The Influence of IT towards OHN learning materials based on Gamification and Fogg’s Models also showed of 9 OHN competency categories (100%), indicating the need for IT support was absolute. Case management result projected that the application of Gamification with Fogg's model with the application of IT on the OHN education proved the magnitude influence of IT on 8 components, i.e.: teaching methods, learning materials, learning methods, students’ learning interests, campus facilities, lecturer’s competencies, campus management, and the education curriculum. The IT intervention will simplify the OHN education system, provide more effective, and efficient OH nursing practice in the workplace.
Сonvolutional neural networks in the diagnosis of skin neoplasms

The problem of using artificial intelligence technologies in the diagnosis of skin neoplasms is considered. Dermatoscopic images for 8 nosologies were considered as the object of research. The melanoma was one of them. Melanoma is responsible for the most deaths of all skin cancers. The aim of the study was to evaluate the effectiveness of the use of pre-trained convolutional neural networks for the classification of skin neoplasms. A classification algorithm for an ensemble of convolutional networks was proposed. Pre-trained neural networks have been studied to form the ensemble. Neural network samples were selected from a set of neural networks that have proven themselves in the ImageNet Large Scale Visual Recognition Challenge. According to the results of the experiment the best three of the eight convolutional neural networks were selected for inclusion in the ensemble – MobileNet_v2, ResNet_152, ResNeXt_101_32x8d. The experiment was conducted on a sample of 10015 images representing 8 nosologies. The average classification accuracy for all nosologies was 79%. The paper highlights the features of ensuring information security when using telemedicine diagnostic technologies using the proposed approach in the recognition of images of skin neoplasms. The results of the work can be used in the design of medical decision support systems for the diagnosis of malignant skin neoplasms (including melanoma).
Applying Blockchain Technology to Security-Related Aspects of Electronic Healthcare Record Infrastructure

The centralised architecture employed by electronic health records (EHRs) may constitute a single point of failure. From the perspective of availability, an alternative cloud-based EHR infrastructure is effective and efficient. However, this increased availability has created challenges related to the security and privacy of patients’ medical records. The sensitive nature of EHRs attracts the attention of cyber-criminals. There has been a rise in the number of data breaches related to EHRs. The infrastructure used by EHRs does not assure the privacy and security of patients’ medical records. Features of blockchain platforms, such as decentralisation, immutability, auditability, and transparency, may provide a viable means of augmenting or improving services related to the security of EHRs. This study presents a series of experimental data flow configurations to test the application of blockchain technology to aspects of EHRs. The insights gained from these experiments are founded on a theoretical base to provide recommendations for applying blockchain technology to services related to the security of EHR infrastructure. These recommendations may be employed by developers when redesigning existing EHR systems or deploying new EHR systems.
A secure approach to monitoring emergency health resources

Abstract This proposal presents an optimized, efficient and secure system designed to improve healthcare staff management in emergency situations through a complete tool to classify victims in a emergency situation according the severity of their condition, providing at the same time their location and the best route to reach them. The developed tool consists on a mobile application (assigned to medical and healthcare staff), a web service and Near Field Communication tags (assigned to victims). The mobile application supports secure communication among health staff and implements triage algorithms which result is stored in NFC tags. Apart from this, it helps to indicate which should be the next victim to be treated. The developed web service provides a global view of the emergency status and the current position of victims and staff. Data security is a key objective, overall in health applications; for this reason, tokens are used to protect the triage results before being stored in NFC tags, and the use of IDentity-Based Signcryption provides confidentiality and authentication to communications. Two different signcryption methods are used depending on the communication mode (peer-to-peer or broadcast mode).
ODAR: A Lightweight Object Detection Framework for Autonomous Driving Robots

Object detection is an emerging and essential problem in recent years, which has been widely applied in many aspects of daily life such as video surveillance, self-driving robots, and automatic payment. The rapid development of deep learning models allows object detectors to work in real-time with high accuracy. However, such a sophisticated model often requires robust computing infrastructure such as powerful graphics processing units (GPUs). This requirement might cause a severe issue for embedded systems with small, power-efficient artificial intelligence (AI) systems like Jetson Nano, which are often restricted in both memory storage and computing sheer power. In this work, we aim to address this challenge by proposing a lightweight object detection framework that is specialized for the Internet of Things (IoT) devices with low-power processors such as Jetson Nano. In order to detect the object with different size, our framework employs a backbone residual CNN-based network as the feature extractor. We then design a multi-layer model to combine the feature at different levels of granularity, before using the processed feature to locate and classify the object. We also apply augmentation techniques to enhance the robustness of the framework to adversarial factors. Extensive experiments on real devices in many scenarios, such as autonomous cars or wireless robot recharging systems, showed that our technique can achieve nearly on par results with the state-of-the-art YOLOv5 while requires only one-fourth of computation power.
Developing a Blockchain-based Data Storage System Model to Improve Government Agencies’ Organizational Performance

Confidential documents in possession of government agencies are considered as assets that must be protected.Government agencies have started implementing cloud data storage systems to document data in a centralized network.However, this data storage system has been well-known as being threatened by data security, integrity, and data availability risks.On the other hand, blockchain technology, a decentralized, fast, secure, transparent, and recorded data storage system, is considered as the solution for mitigating these risks.Therefore, this study aims to identify the dominant risk factors of implementing the cloud computing storage system in government agencies potentially impacting its organizational performance and developing a risk-based data storage system that considers blockchain technology.This research used questionnaire surveys, case studies, and expert interviews to obtain its research objectives.The results demonstrated that six dominant risks included data theft and breaches, data corruption caused by virus attacks, limited storage space, data loss caused by system damage, data being accessed without particular access rights, and lack of guarantees from the system when a security threat occurred.A model for the blockchain-based cloud data storage system is proposed to address these risks and to improve the organizational performance of government agencies.
Cryptanalysis of the system based on word problems using logarithmic signatures

Rapid development and advances of quantum computers are contributing to the development of public key cryptosystems based on mathematically complex or difficult problems, as the threat of using quantum algorithms to hack modern traditional cryptosystems is becoming much more real every day. It should be noted that the classical mathematically complex problems of factorization of integers and discrete logarithms are no longer considered complex for quantum calculations. Dozens of cryptosystems were considered and proposed on various complex problems of group theory in the 2000s. One of such complex problems is the problem of the word. One of the first implementations of the cryptosystem based on the word problem was proposed by Magliveras using logarithmic signatures for finite permutation groups and further proposed by Lempken et al. for asymmetric cryptography with random covers. The innovation of this idea is to extend the difficult problem of the word to a large number of groups. The article summarizes the known results of cryptanalysis of the basic structures of the cryptosystem and defines recommendations for ways to improve the cryptographic properties of structures and the use of non-commutative groups as basic structures.
Challenges in Teaching English for EFL Learners at Pesantren: Teachers’ Voices

The aim of this study was to find out the challenges faced by teachers of English in teaching English at pesantren (Islamic boarding schools). This study was qualitative research with a case study approach. The participants of this study were two teachers of English at pesantren in MUBA regency. To find out the challenges faced by the teachers in teaching English, the data gained from observation and interviews were analyzed by using thematic analysis. The findings indicated that there were five challenges faced by the teachers of English in teaching English: 1) improving students’ motivation; 2) improving students’ language competence; 3) managing over-crowded class; 4) managing limited time; and 5) facing lack of supporting facilities. Implications of the findings are also discussed.
Use of Mobile Application for Communication, Interaction and Learning: Lessons from an Action Research

Integration of mobile technologies into training and instruction for learning facilitation is important these days. It is because the users of the mobile devices are increasing as enablers of the learning opportunity anywhere all the times. In addition, learners like to get information, learning resources and activities on their palms via mobile devices. In this context, this paper reports lessons from action research about the use of customized android mobile application at a teacher education institution in Nepal. The research started with the purpose of promoting the use of Mobile App for e-learning that contributes to improving access to e-learning resources and instant communication for course activities. Online survey, informal interaction and interview were used to collect data. Activity theory has been influential to analyse the use of Mobile App for the learning facilitation. The research shows that the course facilitators rarely used Mobile App, instead they liked using web browsers in their large computer screen. However, students used the Mobile App and they wanted the updated version with user-friendly interface. Main lesson from the research is that the roles of institution and facilitators are important to create and provide mobile friendly options of learning facilitation where students themselves can explore in the internet, learn, and use available applications and tools required for their learning. Training institutions can introduce mobile application to bring about a change in the ways of training methods and pedagogical practices with technological interventions. Trainers can consider mobile apps for techno-friendly instructional experiences. Also, learners can access mobile apps for training resources and other learning to enhance their knowledge and skill.
Pengembangan E-Modul Berbasis Pendekatan Contextual Teaching And Learning Pada Materi Barisan Dan Deret Untuk Meningkatkan Minat Belajar Siswa SMP

This study aims to produce e-modules with a contextual teaching and learning approach that is valid, practical, and effective to increase students' interest in learning. This development research uses the Plomp model which consists of three phases, namely the preliminary research phase, the prototyping phase, and the assessment phase. The prototype trial was conducted on 16 eighth grade students of SMPN 1 Tirtayasa, Indonesia. The research instrument consisted of an expert validation sheet to assess the validity, a student response questionnaire to assess practicality, and a student learning interest questionnaire to assess the effectiveness of the e-module. This research produces an e-module with a contextual teaching and learning approach to increase the interest of junior high school students in learning mathematics in the context of everyday life. Although the increase in student interest in learning is still relatively low, overall the e-modules developed are considered valid, practical, and effective, so that they are suitable for use in learning mathematics in junior high schoolsKeywords: Mathematics Module, Contextual Teaching and Learning Interest in Learning Mathematics
Cinema As A Symbol Of Unspirituality In The Novel “The Devil’S Doll”

The mutual influence of literature and cinematic art has appeared since the early days of cinema.At the beginning of the XX century, lots of literary texts acquired some elements and features of cinema.The complex of cinematic techniques and practices along with certain poetic and stylistic peculiarities brought together literary art and cinema.All this led to the formation of cinematic literature which is being successfully developed for well over a century.The novel "The Devil's Doll" by Zinaida Gippius (1911) is a striking example of literary cinematography in the texts of the Russian Symbolism.Despite the strong research interest in issues of interaction between literature and cinematography, no one has ever analyzed the novel in this regard.However, it can be affirmed that the structural, compositional, and poetic features of the novel were greatly influenced by cinema.In the meantime, the novel presented cinema, one of significant phenomena of the cultural life of society, as a symbol of loss of spirituality by many people after the defeat of 1905 Revolution.Understanding the symbolism of this phenomenon in the literary work of Gippius and uncovering the cinematographic features of the novel at multiple levels makes it possible to reveal the meaning of the novel and to interpret it following the author's intention.
Education in the Area of Human Protection in Emergency and Crisis Situations in the Context of Health Education in the Czech Republic

The present time brings a number of emergency and crisis situations, including floods, fires or Covid-19, the management of which requires the active involvement of citizens. Lower secondary education in the Czech Republic includes the subject of Health Education, in which this topic is addressed. Education of students in the area of lifestyle and health is included in Health Education and Home Economics, the latter being delivered in Slovenia. In terms of content, both courses are similar and can enrich each other by sharing valuable experience both in teaching students and in preparing future elementary school teachers. The objective of this paper is to present the concept of elementary education in human protection in emergency and crisis situations in the Czech Republic and the related concept of undergraduate teacher training. The research methods used were document review (of curricular documents and study plans) and questionnaire survey. The paper presents the results of an analysis of the curricular document governing elementary education in the Czech Republic (Framework Education Programme for Elementary Education), as well as the results of an analysis of a health education textbook focusing on the area of safety issues. The paper also presents the results of an analysis of the study plans of selected faculties of education in terms of human protection in emergency and crisis situations, as well as the results of a questionnaire survey focusing on the awareness of future teachers in the area of human protection in emergency situations. The results and main findings of the analysis of the curricular document suggest that the topics of the human protection in emergency situations should be strengthened in the context of Health Education (and throughout elementary education). The studies on teachers’ and future teachers’ awareness of human protection in emergency situations (including first aid) point to some shortcomings in undergraduate teacher training (for example, the optional course in first aid and human protection in emergency situations at the Faculty of Education, Masaryk University). Conclusions and recommendations for practice: the current revision of the Framework Education Programme for Elementary Education should allow the strengthening of emergency issues in Health Education. Based on the inquiry, the following is recommended: due attention should be paid to all emergency issues in the course of education; further teacher training in all emergency issues should be promoted; emergency issues in undergraduate teacher training should be integrated in the form of compulsory common base courses.
Impact of Training on Employees Performance and Job Satisfaction: An Empirical Study of Plastic Industry of Hayatabad Industrial Estate

In today era of knowledge economy where organizations excel due to its human capital in order to provide quality product and service. The human capital can only be effective if organizations provide effective trainings to its employees regularly and need basis. Such training leads to not only over all organization’s development but it affects the job satisfaction and performance of employees. The research purposes are to know about the title of the research which is conducted about Plastic Industry of Hayatabad, District Peshawar. A total of 184 middle and lower managers were selected for the study through proportionate stratification sampling technique. Five point Likert scales, adopted and used by several researchers, were utilized for the research study. The results of study found that employee’s training has a major significant impact on employee performance and job satisfaction. The results also revealed that training has a positive correlation among the two variables. The research study recommended several recommendations such as provision of on the job and of the job trainings through systematic training program, establishment of a training center, linking trainings with the strategic plan of the firms.
Students’ Perception to Online Distance Learning (ODL) and Socio-Emotional Skills During Covid-19 Pandemic

This study assessed the perception of online distance learning and the socio-emotional learning skills of grade 11 chemistry students in the Philippines during the Covid-19 pandemic. The Socio-emotional Skills Domains of Science Students Questionnaire (SSD-SSQ) is administered at the end of the school year. The study revealed high average socio-emotional skills in all the socioemotional learning domains (Task￾Performance, Emotion Regulation, Collaboration, Openness, Extraversion, and Compound Skills). Thematic Analysis is utilized in the research to determine the perceptions of the students. Responses of the students in their E-Portfolio were collected and analyzed. The study generated the following themes: opportunities to express, awareness and management of emotions, variation of activities, and interaction and support system. This study revealed the importance of socio-emotional learning in developing resiliency.
A Unified System for Processing News and Detecting Advertisements in TV Streams

Media monitoring plays an important role in the success of companies by protecting their corporate, staff, and brand reputation. With the emergence of ICT, monitoring has emerged as an inevitable means of covering various fields of media: newspapers, online news, broadcast news (TV, radio), and social networks. Companies need a 360-degree view of media sources in near real-time that reports what's going on. In this paper, we proposed a unified system for processing news and detecting advertisements in TV streams. The system architecture is completely described, and the automatic processing has been detailed. Our contributions include a TV stream segmentation method, a news topics segmentation method, and an advertisements classification model. These methods have been evaluated and given promising results. However, more improvements can be made in the future.
Analyzing Graduation Project Ideas by using Machine Learning

The graduation projects (GP) are important because it reflects the academic profile and achievement of the students. For many years’ graduation projects are done by the information technology department students. Most of these projects have great value, and some were published in scientific journals and international conferences. However, these projects are stored in an archive room haphazardly and there is a very small part of it is a set of electronic PDF files stored on hard disk, which wastes time and effort and cannot benefit from it. However, there is no system to classify and store these projects in a good way that can benefit from them. In this paper, we reviewed some of the best machine learning algorithms to classify text “graduation projects”, support vector machine (SVM) algorithm, logistic regression (LR) algorithm, random forest (RF) algorithm, which can deal with an extremely small amount of dataset after comparing these algorithms based on accuracy. We choose the SVM algorithm to classify the projects. Besides, we will mention how to deal with a super small dataset and solve this problem.