Reviewerly/exHarmony huggingface dataset:
CYBER SECURITY ISSUES IN ONLINE EDUCATION

Cyber security threats nowadays pose a challenge to the overall national security of many states. There are a lot of evidence that security in the context of the online distance education is a serious open problem that needs to be addressed. Building an information society requires strengthening trust in information and communication technologies (ICT), requires that personal data and privacy be protected and promotes a global culture of cyber security in a context where societies around the world are increasingly dependent by information and communication technologies and as a result may be the target of cybercrime.Governments within a state cannot secure cyberspace alone because they do not own and operate public electronic communications infrastructure. Public networks and services located within the national cyber domain are in most cases not under the control of Governments and this highlights the need for public-private cooperation in the exchange of information and early detection of cyber threats.As cybersecurity is considered a shared responsibility between government, network and essential service operators, businesses, and end users, coordinating, and regulating the sharing of responsibilities and sharing of information will have a positive impact on cyberspace conservation and mitigation of risk. In this paper will be issued considerations related to models, methods and mechanisms of coordination and exchange of information. The different approaches of the models for the exchange of information are mainly based on the trust between the parties, the legal framework according to which the different actors operate and the cooperative relations between the parties. These models range from sporadically ad-hoc information exchange to long-term exchange regulated through legally binding formal agreements. Each of the models has its advantages and disadvantages, but choosing the right model is vital in ensuring success in preventing risks and taking appropriate action in responding to cyber security incidents.Such considerations can then serve as a guide in drafting formal frameworks applicable specially to developing countries where the definition of management and sharing of responsibilities related to cyber security issues has already begun.
Koopman's compliant screened exchange exchange potential with correct asymptomatic behavior for semiconductors

We propose a novel exchange correlation potential[1] for DFT investigations of semiconductor materials, based on physical properties of the underlying microscopic screening. We demonstrate that it reproduces the low temperature band gap of several materials. Moreover, on the example of defects in semiconductors, it respects the required linearity condition of the total energy with the fractional occupation number, as expressed by the generalized Koopman’s theorem. It is shown, that alloys can be treated with a common choice of the functional. We also show that this novel functional can be used as a kernel in linear response TDDFT to reproduce excitonic effects in optical spectra.
Apache Kafka and Spark Structured Streaming

The last chapter was an introduction to using Apache Spark Structured Streaming. You learned how the popular Redis database can be used to create structured in-memory event streams and explored how to write stateful streaming applications.
Managing Information Risks: Threats, Vulnerabilities, and Responses,

"Managing Information Risks: Threats, Vulnerabilities, and Responses,." Journal of Electronic Resources in Medical Libraries, 19(1-2), pp. 52–53
Research on English Online and Offline Software Development Based on Information Technology

Modern educational technology, using modern information technology as a means, has become an important driving force in teaching reform, changing students’ original thinking patterns and allowing for more diverse learning styles. The blended teaching mode based on modern educational technology will become the main development direction of teaching in the future. This paper is guided by constructivist theory, behaviourist theory, multiple intelligence theory and contextual learning theory, analyses the composition of modern educational technology, constructs a blended teaching model of college English based on modern educational technology, and proposes teaching reforms in terms of “teaching objectives, teaching process, realization conditions and teaching evaluation”.
Blockchain for Technological and Mindset Revolution: A Qualitative Study in the Sultanate of Oman

Blockchain defined as a decentralized and distributed public ledger that records and replicates information stored in blocks spread across several computers in a network represents the utmost innovative technology in the Fourth Industrial Revolution era. While the technology was developed to improve online transactions, it has witnessed a variety of uses based on its core attributes of security, transparency, and decentralization. However, this technology has not been widely adopted in the Sultanate of Oman. The present study aims to explore the adoption of blockchain technology in the Sultanate by investigating barriers and enablers and finally propose a framework for the adoption of blockchain technology. The qualitative approach undertaken involved interviews conducted with key stakeholders from both private and public sectors of Oman with keen insight or experience in blockchain technology. The content analysis was employed with themes and categories identified. The study found out that the critical barriers were lack of awareness, lack of potential application, lack of experience and expertise, and lack of sufficient infrastructure. In addition, the lack of government regulation and policy barriers the adoption. The enablers include the government’s commitment to creating more awareness about the technology and provide necessary resources and infrastructure in addition to the presence of a defined accountable and responsible authority for the policy and regulations. Three recommendations are put forward to serve as a framework for the adoption of blockchain in the future which can also help the nation transform into a technological hub in the region. Designing and implementing a strategy that mitigates the barriers and setting up incentives and enablers for the technology is an approach that is suggested, to improve the adoption of blockchain technology.
Review of Different Binarization Techniques Used in Different Areas of Image Analysis

In the last few years, the image binarization area has progressed to a large degree. In this paper, a thorough survey regarding the techniques for image binarization used in different areas is done. For analysis and comparison of the methodologies of binarization used in document, medical and video text images, a variety of traditional methodologies along with the latest works are analyzed. Binarization is one of the most critical processes of nearly all the systems of image processing. Most of the image processing systems are designed in which, the binarization is used to determine the region of interest from a given image which is intended for a particular purpose. A summary of the classical methodologies contained in the literature is discussed in this section. Several scholars have recommended a variety of methods for binarizing document images, video text images, and medical images over the past many years.
Statistical methods for middle-term forecast of earthquake occurrences

&amp;lt;p&amp;gt;Investigation into possible precursors of strong earthquakes constitutes a challenging research topic which is carried out mainly in two directions: the one based on the analysis of physical parameters and the one based on statistical methodologies. In the first, recent studies have shown significant correlation between major earthquakes and anomalies of different physical parameters measured in the atmosphere/ionosphere which cover time intervals of months.&amp;lt;/p&amp;gt;&amp;lt;p&amp;gt;On the contrary in this presentation we focus on the statistical modelling of the parameters that constitute an earthquake record in a catalog (location, time, magnitude) and we show that significant variations are observed in the months/years preceding a strong earthquake. In particular we consider the spatial distribution of a set of earthquakes and its temporal variations by modelling the area of Voronoi cells generated by the epicenters through a generalized Pareto (GP) distribution. Following the Bayesian paradigm we analyze the recent seismicity of the central Italy and we compare the posterior marginal likelihood of the most promising distributions in shifting time windows. We point out that the best fitting distribution varies over time and the trend of the GP distribution and of other distributions among the most studied in the literature converges to that of the exponential distribution a few months before the start of the preparatory phase to the main shock.&amp;lt;/p&amp;gt;
Image Diff’s Validation Using Image Classification

In today’s world, it is really very difficult to work with visual data, especially with image data and its structure which is being produced rapidly and increasing day by day. Dealing with image data having varying content, quality, size, and format is major challenge to determine the category of given image. Also, dealing with differences in information in UI image whether they are matching or not matching for given two images is big challenge. For the known image data and labels, we can create dataset based on known information such as image type and content. Based on this set, we can understand the variation in patterns of information and preserve it to use further. Deep learning’s computer vision and image processing helps us to extract and preserve such information available in image data. Image classification is one of the ways to overcome the issues while predicting images and its class.
ON OVERCOMING CHALLENGES OF LOCALIZATION: REALIA, ABUSIVE WORDS AND ALLUSIONS TRANSLATION TRAINING

The present study is based on the pilot project of localization training optional course highly recommended for 4th year English majors after they have completed a course in translation theory and have mastered techniques in translation from English into Russian and vice versa. The authors strongly believe that language cultural adaptation of texts has always been a serious challenge for translators and, therefore, must be considered as a most critical issue in the university translation training course. Adequate localization teaching tools may vary according to the problem in question and define the quality of training, so the selection of material for the adaptation course involved instruction and cooperation of experienced translators and supervisors whose main interest is localization. One of the biggest problems a translator can face is the translation of realia, swear words and allusions which are undoubtedly an integral part of communication and cultural legacy of a nation and can’t be simply ignored or lost in translation. This paper aims to prove the teaching potential of the English language fairy tales which represent a wide range of specific cultural concepts. Translated versions of the texts are available for discussion in class so that the students could share their individual perception of the translation problem. The research procedure involved thorough preparatory self-study homework with the original texts which was then followed by the revealing of the most challenging elements with the focus on cultural lexical items and in-class discussion about their appropriate adaptation into Russian. It is important to encourage the students to work with challenging materials, as in the case of fairy tales, and not to be afraid of mutual assessment in the course of translation which is also part of the course. As a result, the authors point out possible ways to systematically localize cultural phenomena widely found in fairy tales and thus justify the possibility of using them in localization teaching. The methodology might be applied for other languages adaptation courses.
Intelligent Noise Detection and Correction with Kriging on Fundus Images of Diabetic Retinopathy

Digital imaging collections are widely used in image analysis particularly in medical and healthcare systems. Medical images collected are prone to some type of inaccuracies called noise or incompleteness. Images with inaccuracy even are important in medical image analyses as they contain image components that form rare models. To overcome the problem of inaccuracies and put through the process of crucial processes of image analyses, it is very essential to correct images as required for the models of classification. Kriging interpolation technique is implemented on medical images for the removal of speckle noise. A technique of approximation known as kriging may be used to anticipate values that have not yet been seen based on observations of the value at adjacent places. In this paper, the application of kriging interpolation depending on a distance metric between the suggested speckle noise images and non-noisy images filtered with ground truth mask is experimented. The resulting images have significant improvement in the performance of the method.
Efficient generation and evaluation of single photons propagating in the multiple optical modes

In this talk, we report the experimental demonstration of direct and efficient verification of entanglement between two multimode-multiphoton systems (one photon in three modes and two photons in three modes) using just two sets of classical correlation tables with and without a discrete Fourier transformation of the optical modes, clearly demonstrating a dramatic reduction in the resources required for entanglement verification. We will also report a novel method to produce a multi-photon parallel state efficiently with reducing excess photon components using multiple heralding single photon sources and N x N active optical switch.
Introduction by Judea Pearl

chapter Share on Introduction by Judea PearlProbabilistic and Causal Inference: The Works of Judea PearlFebruary 2022 Pages 123–128https://doi.org/10.1145/3501714.3501726Online:04 March 2022Publication History 0citation2DownloadsMetricsTotal Citations0Total Downloads2Last 12 Months2Last 6 weeks1 Get Citation AlertsNew Citation Alert added!This alert has been successfully added and will be sent to:You will be notified whenever a record that you have chosen has been cited.To manage your alert preferences, click on the button below.Manage my Alerts New Citation Alert!Please log in to your account Save to BinderSave to BinderCreate a New BinderNameCancelCreateExport CitationPublisher SiteGet Access
Using Machine Learning to Count Vestibulocochlear Nerve Fibre Density in Bottlenose Dolphins

With the rush of metal consumption in the last decades and the expected raw material demand driven by the clean and digital transition, a growing concern has emerged about the decline of ore grades. Research of the effect of ore grade decline on energy consumption during the processing of metals has conventionally been addressed using historical data and LCA analyses. This paper provides another approach using a computational model developed with specialized software, HSC Chemistry, to analyse this relationship using gold as a case study. Gold was selected as it is a precious metal widely used in various applications, from jewellery to electronic circuits and will be key for digitalizing the economy. Considering all mineral processing stages, it was verified that the specific energy and associated environmental impact would experience exponential growth as ore grade in the mines decreases. As one of the most energy intensive stages is comminution, fuelled by electricity, the associated environmental impact is very much dependent on the electricity mix of the producing country. This approach allows for an evaluation of the future production's environmental impact for gold.
AUGMENTED REALITY IN THE CLASSROOM

M. BorasFaculty of Humanities and Social Sciences, Josip Juraj Strossmayer University of Osijek (CROATIA)
PEMANFAATAN SOFTWARE MAESTRO SEBAGAI MEDIA PEMBELAJARAN NOTASI BALOK PADA KELAS VIII DI MTS ISLAMIYAH ULU DANAU

The formulation of the problem in this study is how to use Maestro software as a learning medium for beam notation in class VIII at MTs Islamiyah Ulu Danau? The purpose of the study was to find out how to use maestro software in the learning process of beam notation at MTs Islamiyah Ulu Danau. The method used in this research is a qualitative approach. The data collection technique used is triangulation, namely observation, interviews, and documentation. Based on the results of the study, it was found that the use of maestro software really helped students and teachers in carrying out the teaching and learning process, with the maestro students became easier to understand and more active in learning, the easy use of maestro also helped students to quickly understand and run the application before being notified by the teacher. he importance of empowering technology in education is to support easy and fun learning. To achieve the goals of education, aspects that support the learning process are also needed, including teachers, active students, innovative media and the availability of qualified facilities and infrastructure. The maestro software itself is a technological music published by Future Sculptor for Android users, this software serves to make it easier for users to write block notation. In addition to writing block notation, we can also hear the notes we make on our worksheets, making it easier to correct if there is an error in the position of the typed note. Utilization of maestro software at MTs Islamiyah Ulu Danau here is used as a notation writing medium where students will later copy the notation of the national anthem.
Synergy of Digital Universality of the Global Computer Environment

The global computer environment (GCE) as a whole is considered an object of research. The system-wide as­pects of implementing the digital transformation of the sociotechnosphere through the GCE are analyzed. Factors of the destructive influence of the fundamental system-technical laws of the spontaneous growth of the GCE on the functioning/development of the sociotechnosphere are presented. Special attention is paid to the study of the features of the apperance of a positive synergetic network effect, expressed by Metcalfs law, in the conditions of the initially open intra-system heterogeneity of the network resources of the existing GCE. It is established that with the increase in the size of large distributed systems implemented in the GCE, the factor of heterogeneity of network resources becomes a source of negative (system-destructive) network synergy, which devalues the positive synergy of Metcalfs law. Examples of ecosystems implemented in the GCE through cloud technologies are considered. It is shown that in the conditions of initially open heterogeneity of network resources, the further increase in the size of large distributed systems leads to an insurmountable increase in the complexity of the system-functional integra­tion of network resources and an uncontrolled decrease in the stability of the sociotechnosphere. The principles of conceptual reengineering the GCE are presented to eliminate the causes of systemic heterogeneity and seamless/ cybersecurity distribution of algorithmic universality, closed in intracomputer resources, to any arbitrarily large subset of GCE computers. Such reengineering will allow neutralizing the negative synergy and maximizing the positive synergy of the Metcalf effect in large distributed systems without restrictions on their size.
A HIGHLY ENGAGING EVALUATION SYSTEM FOR THE COURSE CLASSES BASED ON RANKING THE STUDENTS’ PERFORMANCES

Keeping students engaged and making sure the presented information has remained in their minds represent two very important challenges in our days. There are a lot of modern education tools through which you can generate a highly engaging course class and hundreds of means that allows the teachers to evaluate the students (some of them are more efficient, other less) but developing a system that will perform both tasks in the most efficient way, is more difficult and represents something that this paper aims. The proposed system is not going to provide just the right framework for evaluating something but is also going to bring up something that represents the fundamental element for the evolution: the competition.In business, the clients will benefit if there is a high competition between more companies providing similar products. In education, students will benefit is there is a real competition between them. In theory, the competition exists by default, if we take into consideration that only the students with the best marks will get a scholarship, but in many cases, the amount of money that they will receive through this scholarship is to low to generate a highly engaging competition. Moreover, this rank between the students, generated according to the marks they’ve achieved is done typically just 2 times per year if we consider that most of the faculties are using the 2-semester educational system.A young teenager will be more than happy and motivated if you will give him a chance to have something to presume with, as often as possible. Affirmations like “I’m better than you or, no, I am better than you”, start as soon as 2 or more kids gather to play, but unfortunately when it comes to education, those affirmations do not generate the same satisfaction as they do in other activities.So, why not to create an evaluation system that will give the chance to a student to presume with the fact that he is the best, after each course class? and also give the possibility for the others to start thinking at some strategies so that next week after the next class, they will be in the position to regain the top spot of the ranking! If we add the fact that this rank, will grant some bonus points at the end of the semester for the students participating in that course class, this will make a highly engaging competition between the students of a class and will generate that “state of art” that each and every teacher will want from his students.The paper will not only present this new and unique system developed by the author for his students but will also provide the guide for how to best setup the conditions and the ranking criteria and also the tools and the steps for an easy and effective application at the end of each course class!
A Note on the Insecurity of Cryptosystems Based on Chebyshev Polynomials

The security of cryptosystems based on Chebyshev recursive relation, [Formula: see text], relies on the difficulty to find the large degree [Formula: see text] of Chebyshev polynomial for given parameters. But this relation cannot be used to evaluate [Formula: see text], if [Formula: see text] is very large. We investigate three other methods: matrix-multiplication-based evaluation, halve-and-square evaluation, and root-extraction-based evaluation. We find they have the same complexity [Formula: see text] over finite field [Formula: see text]. The result shows that the hardness of some cryptosystems based on modular Chebyshev polynomials is almost equivalent to the general discrete logarithm. This partially answers the question why such chaos-based cryptosystems have rarely been put into practice.