Reviewerly/exHarmony huggingface dataset:
Delivering Effective Cybersecurity Awareness Training to Support the Organizational Information Security Function

Traditional security education, training, and awareness (SETA); cybersecurity awareness programs; and information security awareness programs are falling behind to deal with the current cyberthreat landscape in any organizational environment. Human behaviors are the weakest links in cybersecurity, especially in situations where cyberthreats are not isolated, blocked, or reported to the information security specialists for further action. Moreover, the study compares recent awareness frameworks, approaches, and methodologies. An extended research that includes an awareness training model to deal with existing challenges when delivering cybersecurity to different levels of positions in any organization. The cybersecurity awareness training model (CATRAM) has been designed to deliver training to different organizational audiences, each of these groups with specific content and separate objectives. The study concluded by addressing the need for future and innovative research to target new approaches to keep cybersecurity awareness focused on the everchanging cyberthreat landscape.
Visualization of Encrypted Data Packagesusing Birch Algorithm

Encrypted data packagesare already widely used in public services; such as Secure Sockets Layer (SSL/Transport Layer Security (TLS) and tunneling.It is used for its advantage of providing secure data exchange. However, there are difficulties to recognize encrypted packet patterns and distinguish between safe and malicious data. This paper proposes a method to visualize encrypted data packages in graphical form using Birch algorithm where itrecognizes better.There are four stages carried out in the study, namely System Design, Feature Extraction, Cluster Process, and Visualization. The results of clustering using the birch algorithm of 0.98 or have a percentage level of accuracy of 98 percent.
Early Detection of Parkinson's Disease

Parkinson's disease (PD) is a neurodegenerative disorder that occurs due to corrosion of the substantia nigra, located in the thalamic region of the human brain, and is responsible for transmission of neural signals throughout the human body by means of a brain chemical, termed as “dopamine.” Diagnosis of PD is difficult, as it is often affected by the characteristics of the medical data of the patients, which include presence of various indicators, imbalance cases of patients' data records, similar cases of healthy/affected persons, etc. Through this chapter, an intelligent diagnostic system is proposed by integrating one-class SVM, extreme learning machine, and data preprocessing technique. The proposed diagnostic model is validated with six existing techniques and four learning models. The experimental results prove the combination of proposed method with ELM learning model to be highly effective in case of early detection of Parkinson's disease, even in presence of underlying data issues.
THE COURSE OF FUNDAMENTALS OF REMOTE SENSING FOR EDUCATORS OF JUNIOR ACADEMY OF SCIENCES OF UKRAINE

This paper discusses the background and presents the results of the first in Ukraine advanced training course for educators in Remote Sensing, “Fundamentals of Remote Sensing: History and Practice”, organized by the Geographic Information Systems and Remote Sensing Laboratory of the National Center, “Junior Academy of Sciences of Ukraine”. The Junior Academy of Sciences of Ukraine is a system of extracurricular education committed to the development and implementation of science education techniques. Currently, the Academy has more than 250,000 students working in 64 scientific areas. In 2018, the Junior Academy of Sciences of Ukraine received the status of Category 2 Science Education Center under the auspices of UNESCO and joined the network of Copernicus Academies. The Junior Academy of Sciences of Ukraine has been promoting the application of satellite imagery in education for over ten years. One of the outputs of this activity is the advanced training course for educators. This paper describes the online training course that was held in spring 2021. The course was open to all interested teachers. 21 educators from 11 Oblasts of Ukraine have completed the training course. The majority of the course participants were teachers of Geography. Environmental science, biology, chemistry, physics, and computer science experts have also participated in the training course. In addition, the course participants included four associate professors and two professors from higher educational institutions, and one PhD in Geography. From a gender perspective, 66.6 % of the registered course participants were female and 33.3 % — male. The effectiveness of the course was evaluated based on the participants’ responses collected in two surveys and a concluding interview. The paper describes the stages of special course organization, topics, and tools used in the lectures and case studies, including an overview of the data sources, such as EO Browser, ArcGIS Online, and Google Earth, etc. The paper presents a detailed description of one of the hands-on case studies of water bodies in EO Browser.
Language Skills Training Through Mobile Apps

With the advancement in technological tools and devices, language teachers can foster learning of communication skills through mobile devices. There is a growing interest among students to use the latest gadgets for getting connected with their peers. It must be admitted that the usage of these devices would bring in a real revolution in the teaching and learning process. It has been widely accepted that mobile learning promotes students' active participation. Teachers also now understand that one of their responsibilities is to create more opportunities to make their students practice language skills. Although numerous researches has been done in the field of English Language Teaching in India, research on mobile assisted language learning is still in an infancy stage. In this chapter, the author discusses the possibility of offering training through mobile apps, based on research she conducted recently.
Technology: Computerized Text Analysis

Approaches utilizing computerized text analysis (CTA) offer new ways of assessing all types of writing, including creative writing. One advantage is the ability to see writing beyond the limits of the human reader, to help understand the constructions of the author and the psychology of the text. This entry presents a few of the quantitative strategies, techniques, and software choices for conducting CTA research. A selection of published findings on creative writing, ranging from classical studies to the contemporary bestselling novel, are reviewed.
The Poisson Distribution

The method of deriving a Poisson distribution is given, and testing a distribution to determine if it fits a Poisson distribution follows. Cumulative Poisson distributions can be calculated easily. Confidence limits can be determined either by the normal approximation for large samples or by exact methods for small samples. Methods for determining the differences between the means of two Poisson samples are given, the details depending on whether the samples have the same or different units. Ways of calculating the required sample size are given.
Optimization algorithm of convolutional neural networks based on momentum and fractional order gradient

In order to study the optimization algorithm of convolutional neural networks, this paper combines the traditional stochastic gradient descent method with momentum and fractional order optimization, and deduces the momentum based fractional order stochastic gradient descent (MFSGD) algorithm for the full connection layer and the convolution layer in convolutional neural networks, respectively. The recognition accuracy and training loss for MFSGD with different orders are compared. The results show that the MFSGD is better than the fractional order gradient descend method, and there is an optimal order with a best recognition accuracy and training loss.
The Paradigms of Blockchain Technology

The invention of blockchain technology has paved the way for the decentralization of existing systems. Blockchains have consistently delivered prominent applications, particularly in the finance sector. The most popular application of blockchain is cryptocurrency. Blockchain technology however has a variety of applications beyond cryptocurrencies. This article discusses the basics of blockchain technology along with some of its potential applications. With the rising use of this technology, the security of these systems is a major concern. The security threats and risks to blockchain systems are also reviewed along with the tools and methodologies to prevent and handle it in more sophisticated manner.
Health Information Systems and Their Usefulness Among the Women Folk of Kanyakumari District, India

This chapter describes how health is the most precious component for the happiness and all-round development of human being in the society. Alongside this, information is an important resource for individual growth and survival. Therefore, a Health Information System (HIS) is a system for collecting/processing of data from various sources, and using the information for policy-making and management of health services. This chapter discusses health literacy and its association with health information needs and health information literacy, the status of women in India and their influence in the well-being of the family, and the impact of HIS. This chapter also proves that with enough data obtained from the women of Kanyakumari District in India, the government's policy needs to be directed towards women for the success of its health-care programmes.
Cybersecurity Concerns in International Business

The topic is cybersecurity concerns in international business. The issue of cybersecurity and cybercrime is a complex one with several sources for cybercrime including activities by individual criminals, organized crime, and governments. The research question explored is, “Can companies protect themselves given the rise in cybercrime?” Research findings conclude that businesses need to increase their efforts and invest in technologies, staff, technical training, and processes and programs aimed at improving the use of risk-based assessments, defenses, intrusion and anomaly detection, and the business's ability to recover should a cybercrime take place.
Models of Artificial Multi-Polynomial Higher Order Neural Networks

This chapter introduces multi-polynomial higher order neural network models (MPHONN) with higher accuracy. Using Sun workstation, C++, and Motif, a MPHONN simulator has been built. Real-world data cannot always be modeled simply and simulated with high accuracy by a single polynomial function. Thus, ordinary higher order neural networks could fail to simulate complicated real-world data. But MPHONN model can simulate multi-polynomial functions and can produce results with improved accuracy through experiments. By using MPHONN for financial modeling and simulation, experimental results show that MPHONN can always have 0.5051% to 0.8661% more accuracy than ordinary higher order neural network models.
Improvement of Distance Judgment Based on Wolf Pack Algorithm

The original wolf pack algorithm has two distances to compare and determine whether ferocious wolf participates in the siege behavior. In order to improve the accuracy of optimization, a new distance is described as the approaching siege distance by expanding a certain range. An equation for calculating the approaching siege distance is given, and the distance between ferocious wolf and the head wolf is specified if ferocious wolf reach the approaching siege distance, which is able to participate in the siege behavior. Furthermore, on the basis of proposing the approaching siege distance, three step weights are introduced to make the step lengths of the three intelligent behaviors change in the iterative optimization and also improve convergence accuracy. Finally, through 5 standard test functions and a problem of optimal processing time in Job-shop Scheduling, the results are compared with the original wolf pack algorithm, and the effectiveness of the improved wolf pack algorithm is verified and the accuracy of optimization is increased by 1 to 3 orders in magnitude.
Mensajes emitidos por docentes universitarios a sus estudiantes con bajos desempeños académicos durante la enseñanza en línea por COVID-19

COVID-19 generated new forms of student-teacher interactions, and it increased the use of virtual educational environments. Electronic messaging is one of the most widely used forms of communication between teachers and students. However, few studies on how teachers provide feedback motivate and encourage students to engage in academic activities in online learning environments. This study aims to characterize messages sent by university teachers to their students with low academic performance during the emergency remote teaching in the COVID-19 pandemic context. The electronic messages were obtained through the snowball sampling technique. The sample consisted of eighteen email threads facilitated by six universities. Ethical requirements for this type of research were met, and discourse or text analysis was used as a methodology with a qualitative approach and hermeneutic orientation. This study shows two main results. First, the necessary data to identify students with low academic performance can be mainly obtained from their teachers and third parties, like university authorities. Second, there are a number of elements to consider when creating messages to improve the engagement of underperforming students. These fundamental elements are: tone of voice, content of the message and moment in which the message is sent. Messages that are explicitly written for each student or group of students and messages that were written with anticipation, showed to be most effective in engaging students.
Research on First Mini Solar Power Plants to Produce Electric Power on the South Serbia

The solar radiation and energy potential in Serbia is 30% higher than in Central Europe, and the intensity of solar radiation is among the highest in Europe. Specifically suitable are the condition for usage of solar energy in southeast Serbia where the annual average of global radiation on a horizontal surface amounts to more than 4.2 kWh/m2 a day. This chapter discusses four photovoltaic solar power plants, two having been installed in the territory of the city of Leskovac and two in the Bosilegrad territory. The research is based on geographical location of solar power plants, orientation, and inclination of the panels in respect to the horizontal surface. All the processed solar power plants have the capacity 30-40 kW. The chapter is projection of two years of researching and measuring data on the initial investments in order reach profitability and investment return period. The solar power plants that have fitted angle of 33° (Fortuna) give higher production of electric power than in those panels that have angle inclination of 10° (Domit).
Electronic Music

Abstract This essay contends that the primary philosophical question posed by electronic music has been one of ontology. Musicians and listeners derive theories about electronic music and its ontology, rendering electronic music an especially self-reflexive art form. Philosophical and aesthetic treatments have attempted to identify that which distinguishes electronic from non-electronic music. It argues that the philosophy of electronic music needs to be updated to reflect new realities in electronic music as well as music at large. Examples drawn from drone music, Scott Walker and Sunn O))), and psychedelic rock group Acid Mothers Temple demonstrate that the distinctions between electronic music and non-electronic music have been blurred, if not effaced altogether. In this new soundscape, the updated ontological questions will have to do with listening, history, and genre.
RobotBASIC

Unlike most chapters in this book, this chapter does not introduce new methods or algorithms related to robotic navigation systems. Instead, it provides an overview of a simulation tool that, in some situations, can be useful for quickly evaluating the overall appropriateness of a wide variety of alternatives before focusing more advanced development activities on a chosen design. In addition, since the tool described herein is totally free, it can be used to help students and others new to robotics understand the value of utilizing a design-simulate-deploy approach to developing robotic behaviors. Robot Simulators can emulate nearly all aspects of a robot's functionality. Unfortunately, many programming environments that support simulation have steep learning curves and are difficult to use because of their ability to handle complex attributes such as 3D renderings and bearing friction. Fortunately, there are many situations where advanced attributes are unnecessary. When the primary goal is to quickly test the feasibility of a variety of algorithms for robotic behaviors, RobotBASIC provides an easy-to-use, economical alternative to more complex systems without sacrificing the features necessary to implement a complete design-simulate-deploy cycle. RobotBASIC's ability to simulate a variety of sensors makes it easy to quickly test the performance of various configurations in an assortment of environments. Once algorithm development is complete, the same programs used during the simulation phase of development can immediately control a real robot.
Confidence Interval About the Mean Using the TINV Function and Hypothesis Testing

This chapter explains how to find the 95% confidence interval about the mean for a set of data, and how to test hypotheses about your data using this confidence interval. You will learn how to estimate the population mean (average) for a group of people (or objects) at a 95% confidence level so that you are 95% confident that the population mean is between a lower limit of the data and an upper limit of the data. The formula for computing this confidence interval is presented, explained, and a sample problem is given using your calculator. You will then learn how to use Excel commands to determine the 95% confidence interval about the mean using Excel’s TINV function. The second half of this chapter explains hypothesis testing and how you can test hypotheses about your data using Excel commands to find the 95% confidence about the mean for your data. Seven steps are presented for this test, and you will be given specific explanations of how to write both the result and the conclusion of a hypothesis test. Alternative ways to summarize the result of a hypothesis test are also presented. Three practice problems are given at the end of the chapter to test your Excel skills, and the answers to these problems appear in Appendix A of this book. An additional practice problem for each chapter is presented in the Practice Test given in Appendix B along with answers in Appendix C of this book.
Modern educational and educative trends reflected within regulatory documents

The article provides a review of the regulatory documentation framework for the modernization of education in Russia, due to the joining the Bologna process. The directions refected at the level of the federal law on education, national doctrines and projects, federal target programs, letters of the Ministry of Education, and professional standards are considered. The change of the ‘knowledge' paradigm to the ‘competence' one is accompanied by the increasing use of digital technologies in all aspects of life, including education. Technological progress has led to computerization, and further informatization of education. The ubiquitous spread of the Internet, directed by the Federal target program «Electronic Russia» (2002-2010) and the National project «Education», should have expanded the boundaries through the implementation of e-learning and distance learning technologies, promote democratization and accessibility of education, make the educational space more open. However, the monitoring has revealed problems with the overall strategy of e-education, the availability of the learning environment, and the availability of educational and methodological support. One of the possible ways to solve the problem is to appeal to open education and the implementation of massive open online courses, which are now designed by the leading Russian universities. A change of requirements for the participants of the educational process, an increase in students' autonomy, a tendency of forming an individual learning path, the use of project and group techniques based on digital technologies are seen. These measures should contribute to the competitiveness of the Russian higher education in the world.
Visualizing the Evolution of Mobile Learning Research

The aim of this chapter is to investigate the scope and change of m-learning literature over a period of thirteen years. The chapter takes an author co-citation approach where patterns are revealed in mlearning publications between the years 2002 and 2015. The author co-citation analysis is a kind of bibliometrics, and Power Flow Network Library (PFNET) analysis method to obtain the intellectual structure of the m-learning field. A PFNET is a psychometric scaling method where a network of associative nodes is generated using specific values. The method is based on graph theory and has been used to explore knowledge connections. The method is referred to as a pathfinder network for representing segments of knowledge in a branched manner. The method can also be used for developing consensus building or recognizing expertise in a specific area. In this study, it was found that the m-learning research focus on design and effectiveness of m-learning environments, developing a pedagogic framework for m-learning, adoption and proliferation of m-learning-assisted language learning, collaborative m-learning, and augmented reality. Assessing the results of factor analysis together with the PFNET graphics, the subfields show the fundamental orientations of the field, and the main themes will be the focus of future research.
Computer Mathematical Statistics for Investigating Effectiveness of Blended Learning Supported by Mobile Intelligent Computing Technology

The aim of this study was to investigate the effectiveness of blended learning supported by mobile technology for vocational college students to enhance their English as a foreign language (EFL) speaking skills. An experiment group with 45 students and a control group with 44 students participated in the research, and the results showed significant differences in speaking performance between two groups, specifically in their speaking skills in aspects of pronunciation and interaction. The results also showed that the students from EG help positive perceptions towards blended learning supported by mobile technology. Based on these findings, suggestions and directions for future research are provided.
Safety and Security

When transmitting the data to a reliable storage space, one should insist on data transmission through secure channels in order not to be intercepted, viewed or even modified by third parties. Furthermore, one should also insist on keeping the private data private, since not all data should be accessible to everyone. Not even all authorities may have the same access rights. Besides personal data, sensitive information, only required to run a public service, production plant, or public transport network are good examples thereof.