Reviewerly/exHarmony huggingface dataset:
Experimental work on the implementation of the methodological model of fostering personal intellectual culture in undergraduate pedagogical students by means of foreign-language education

The article deals with the problem of education intellectualization at higher education institutions. The aim of the article is to present the analysis of the results of the experimental work on the practical implementation of the model of the methodical system for fostering personal intellectual culture in undergraduate pedagogical students by means of foreign-language education. The main process of the experimental teaching of foreign languages was focused on the integrated fostering of the components of the personal intellectual culture of future teachers: (a) cognitive culture (skills, abilities and experience associated with the understanding of meaning, systematization, transformation of foreign-language information); (b) communicative culture (detailed, logical and meaningful verbal communication in a foreign language); (c) the culture of reflective thinking (goal-setting, self-motivation, selfdetermination, introspection, self-regulation, self-organization, self-esteem and self-control of one's activities in the process of learning a foreign language); (d) the culture of creativity (the disclosure and development of creative abilities and readiness for innovation); (e) the worldview culture (the formation of a wide range of manifestations of education; the gained knowledge, mastered skills and abilities allow one to think, to reason, to strive for the best, to comprehend the phenomena of one's own spiritual life and to form the integral picture of the world, to be responsible, to evaluate the consequences of one's actions in accordance with the socio-ethical norms and spiritual values. The diagnostic tools such as surveys, questionnaires, diagnostic techniques, the method of participant observation in practical classes, analysis of the products of the educational, cognitive, creative and research activities performed by students during the practical classes and the extracurricular events, test papers, test tasks, creative projects, presentation of project and research work, self-assessment and mutual assessment, external expert assessment of university teachers and representatives of the employer (secondary schools teachers), etc. were used. At the transformative and control-evaluative stages of the experimental work, the positive dynamics of the development of indicators of cognitive, analytical, speech-thinking, communicative, regulatory, reflexive, axiological and creative aspects of intellectual and personal improvement in the students of the experimental group was revealed. The author concludes that the process and the result of the carried out activities reveal the effectiveness of the designed conceptual and methodological model of foreign-language education that presupposes the systemic development of a complex of abilities and personal qualities of the cognitive-semantic, motivational-value, organizational-active and creative spheres in pedagogical students' personalities.
How does Quizizz application as an online mathematics learning quiz media during pandemic Covid-19?

Views Icon Views Article contents Figures & tables Video Audio Supplementary Data Peer Review Share Icon Share Twitter Facebook Reddit LinkedIn Tools Icon Tools Reprints and Permissions Cite Icon Cite Search Site Citation Chelsi Ariati, Gusti Rada, Ahmad Fauzan; How does Quizizz application as an online mathematics learning quiz media during pandemic Covid-19?. AIP Conference Proceedings 7 February 2023; 2698 (1): 060040. https://doi.org/10.1063/5.0122431 Download citation file: Ris (Zotero) Reference Manager EasyBib Bookends Mendeley Papers EndNote RefWorks BibTex toolbar search Search Dropdown Menu toolbar search search input Search input auto suggest filter your search All ContentAIP Publishing PortfolioAIP Conference Proceedings Search Advanced Search |Citation Search
Android-based statistical learning media design

Views Icon Views Article contents Figures & tables Video Audio Supplementary Data Peer Review Share Icon Share Twitter Facebook Reddit LinkedIn Tools Icon Tools Reprints and Permissions Cite Icon Cite Search Site Citation Syelfia Dewimarni, Rizalina; Android-based statistical learning media design. AIP Conference Proceedings 7 February 2023; 2698 (1): 070001. https://doi.org/10.1063/5.0122349 Download citation file: Ris (Zotero) Reference Manager EasyBib Bookends Mendeley Papers EndNote RefWorks BibTex toolbar search Search Dropdown Menu toolbar search search input Search input auto suggest filter your search All ContentAIP Publishing PortfolioAIP Conference Proceedings Search Advanced Search |Citation Search
The Public Intervention on Cryptocurrencies between Innovation and Regulation

his paper concerns the recent public interventions for the regulation of cryptoassets, considering the evidences arising from current development of cryptography and telecommunication technologies and focusing on the importance of a resilient market for money for the sustainable growth of the real economy.The research moves from the regulatory perspective assumed by the European Commission in its digital finance package and then goes straight to the proposals on crypto-assets and digital resilience, in ordet to asses their contribution for a competitive EU financial sector that gives consumers access to innovative financial products, while ensuring consumer protection and financial stability.Focusing on the market for cryptos and the relevant industry, the paradigm of the shadow banking system comes to mind for its alternative nature in respect of the role of credit institutions, as well as its tendence to avoid the public controls for capital adequacy and risk mitigation. However, the shadow banking has driven the financial industry to cross the territorial, governmental, and personal boundaries, but remains linked to sovereign money.Focusing on the content of the current proposals, it is worth considering both the current application of cryptography and distributed ledger technology to substitute money and the perspective of applying the cryptography’s innovation to the activity of issuing sovereign money performed by central banks. Thus, it is possible to identify the need for protection related to any kind of crypto- asset and then the reason for a public intervention aimed at ensuring an effective form of supervision.
Enhancing query processing on stock market cloud-based database

Cloud computing is rapidly expanding because it allows users to save the development and implementation time on their work. It also reduces the maintenance and operational costs of the used systems. Furthermore, it enables the elastic use of any resource rather than estimating workload, which may be inaccurate, as database systems can benefit from such a trend. In this paper, we propose an algorithm that allocates the materialized view over cloudbased replica sets to enhance the database system's performance in stock market using a Peerto-Peer architecture. The results show that the proposed model (MVCRS) improves the query processing time and network transfer cost by distributing the materialized views over cloudbased replica sets. Also, it has a significant effect on decision-making and achieving economic returns.
THE PHENOMENON OF CLIP CONSCIOUSNESS IN MODERN MEDIA COMMUNICATIONS

The purpose of the research paper was to conduct a systematic analysis of the phenomenon of clique consciousness. It was found that this phenomenon was studied mainly by Russian or Soviet scientists, while foreign specialists did not consider it as a whole, focusing on individual processes and states related to personality psychology. It has been revealed that clique consciousness cannot be unequivocally attributed to positive or negative characteristics of the individual. On the one hand, it can be seen as an ability to creatively perceive the world around, a means of adapting to the ever-increasing information flows, activating the body in critical situations. On the other hand, it causes a decrease in the abilities of systematic and critical perception of the surrounding reality, an increase in the threshold of perception and distinction of significant stimuli. As a result, concentration of attention decreases, the field of consciousness becomes mosaic and is filled with information of superficial character, which makes it difficult to establish connections and relations between separate facts and phenomena of existence. It has been determined that one of the prerequisites for the formation of clip thinking can be media-multitasking. However, the forms of their relationship require additional research. It is shown that in modern conditions without increasing reflexivity and criticality of perception, adequate perception of reality is difficult, and the probability of manipulation and getting into echo chambers increases significantly.
Word Sense Disambiguation Pipeline Framework for Low Resourced Morphologically Rich Languages

Resolving ambiguity problem is a prolonged natural language processing theoretical research challenge. Sesotho sa Leboa language is an official name for Sepedi or Northern Sotho language as known to be an official language among 11 others in South Africa spoken by 4.7 million people. Sesotho sa Leboa is an indigenous rich morphologically low resourced South African language which is a highly polysemous language, with words that have numerous context. Disambiguating polysemous words remain a challenging problem for computational linguistics research. Deficiencies of several polysemy assessments suggest that dealing with the sense distinctiveness versus polysemy problems remains an uncluttered academic issue. A practical problem in natural language processing applications is Word Sense Disambiguation which suffers drastically from shortcomings when working with ambiguous polysemous words. Therefore, Word Sense Disambiguation seeks both academic and practical results. Many Word Sense Disambiguation applications gives high accuracy for the English language, and poor accuracy for Sesotho sa Leboa language. In this research, Word Sense Disambiguation pipeline framework is developed for Sesotho sa Leboa low resourced morphologically rich language which addresses academic and practical problems of the polysemy problem. The proposed Word Sense Disambiguation pipeline framework shows pre-processing modules which is a process to reduce ambiguity from the unstructured text corpus that serve to input sentences. Hence, the researchers compute the probability of Word Sense Disambiguation when polysemy and homonymy is observed for cosine similarity measures using sentence transformer (SBERT) and Word2Vec algorithms (Skip-Gram and Continuous Bag of Words). Computation of cosine similarity measure shows SBERT outperforms other algorithms with 87% threshold which shows strong similarity between context and sense definition while Continuous Bag of Words gives cosine similarity threshold of 51%, outperforming Skip-Gram algorithms which has a threshold below 50% with two vectors approaching a perpendicular angle of 90-degrees orthogonally indicating that orientation of vectors do not match.
Unlocking the Dimensionality in Physics &amp;amp; Universe(s)

A deeper dive into the dimensional physics, understanding the concepts from which the the material is built up of. The following research paper covers the sensation of dimensions and astrophysics connectivity, it's important to note that the theory stated in the following research is based on the power of thinking and researching.
What is Sound?

Whether it is a symphony of Mozart from a stein piano or an unpleasant noise from a pneumatic drill, both are recognized as sound. But what may be the definition of sound? Sound is a wave, indeed, because it transmits energy from one place to another by means of a medium but the medium itself is not transported. Hence, before we search for the definition of sound, let us take a moment to discuss the definition of a wave. A wave is a self-sustaining disturbance of a medium. It can be simply defined as a disturbance of some kind or a change in equilibrium. When this disturbance occurs in the ambient pressure or the density, we perceive the sound wave. Therefore, sound is the disturbance of ambient pressure, that we receive through our ears and perceive by our auditory system.
Protecting FIDO Extensions Against Man-in-the-Middle Attacks

FIDO authentication has many advantages over password-based authentication, since it relies on proof of possession of a security key. It eliminates the need to remember long passwords and, in particular, is resistant to phishing attacks. Beyond that, the FIDO protocols consider protocol extensions for more advanced use cases such as online transactions. FIDO extensions, however, are not well protected from Man-in-the-Middle (MitM) attacks. This is because the specifications require a secure transport between client and server, but there exists no end-to-end protection between server and authenticator. In this paper, we discuss MitM scenarios in which FIDO extensions may be intercepted. We further propose an application-layer security protocol based on the CBOR Object Signing and Encryption (COSE) standard to mitigate these threats. This protocol was verified in a formal security evaluation using ProVerif and, finally, implemented in a proof-of-concept.
An E-Voting System Based on Tornado Cash

We propose an pseudo-anonymous e-voting platform based on the blockchain of Ethereum and a coin-mixer, that is Tornado Cash. After an online authentication and authorization phase, the user receives a fungible (i.e., pseudo-anonymous) voting token that can be deposited to a coin pool belonging to Tornado Cash (TC), together with an amount of Ether (ETH) A that will be used to pay successive fees. TC uses a smart contract that accepts token deposits that can be later withdrawn by a different address. In order to preserve privacy, a relayer contract can then be used to withdraw to a fresh ETH address (thus pseudo-anonymous) using A to pay fees. Relayers solve “fee payment dilemma”, that is paying withdrawal fees by maintaining pseudo-anonymity. Finally, a further smart contract collects preferences and, after the closure of the elections, it automatically performs the counting of votes. All the front-end has been developed in a Web browser, by using Javascript and avoiding the voter to perform any command-line operation to prepare transactions.
Margin Distribution Based Adaptive Label Thresholding Algorithms for Online Multi-Label Classification

Recent studies reveal that optimizing the margin distribution can improve SVM-style algorithms. In this paper, we investigate how to optimize the margin distribution in online multi-label classification. We propose the approach ``Margin Distribution based Adaptive Label Thresholding (MDALT)", which exploits the multi-label classification margins of the existing First-order Adaptive Label Thresholding algorithm and optimizes the margin distribution by maximizing the margin mean and minimizing the margin standard deviation on each example. For solving the formulated problem of MDALT, two optimization methods are proposed. One method is based on solving the dual problem of the primal one by the dual coordinate descent, which leads to an iterative solving procedure in each online round. The other method solves the first-order approximation of our primal problem by the online gradient descent, which leads to an efficient closed-form updating in each round. Experiments on nine benchmark datasets show the superiority of MDALT, in terms of seven multi-label performance metrics.
Analyzing the Utilization of the Open-Source Software in the Namibia Government Secondary Schools

One of the main goals of the Ministry of education is to ensure that every learner that goes through secondary school has acquired basic computer literacy. In the achievement of this goal, the ministry has introduced subjects such as Office practice, Information communication, and Computer studies into the secondary school curriculum. The purpose of the study was to analyse and provide recommendations towards the utilisation of open-source software in Namibia government secondary schools. Hence, the study employed a qualitative approach. In addition, an open-ended questionnaire was used as a data collection method. Data were analysed through thematic analysis by identifying common patterns, themes, topics, or ideas frequently coming up in the data set. The findings are a Lack of functional computers, the Ministry of education’s limited ICT Support, software administration challenges, computer maintenance plan, educational ICT policies revision, and internet connectivity challenges. Therefore, the study outlines several recommendations towards the use of open-source software in Namibia government secondary schools.
Design and Development of a G-Code Generator for CNC Machine Tools Based on Augmented Reality (AR)

Modern manufacturing systems rely on the utilization of Computer Numerical Control (CNC) for the manufacturing of products and components. By extension, engineers must be capable of programming machine tools (through G-code) in order to achieve the desired results. However, this process is time consuming and requires highly skilled and trained personnel. On the other hand, under the Industry 4.0 framework, several cutting-edge digital technologies have been developed in an attempt to improve user perception, such as Extended Reality (XR), which encapsulates Augmented Reality (AR), Mixed Reality (MR), and Virtual Reality (VR). Furthermore, the above-mentioned technologies enable engineers to extend Human-Machine Interaction (HMI) into new dimensions. Therefore, in this research work the design and development of a framework for facilitating engineers during the generation G-code script for machining operations based on the utilization of AR is presented. The MR functionalities will facilitate develop a better perception of the machining processes, as well as support the generation of virtual instructions for shop-floor operators. Further to that, advanced communication functionalities are provisioned based on Cloud technologies, in order to automate the transmission of G-code scripts/instructions to the machine tools.
Central Bank Digital Currency: Payment Choices and Commercial Bank Profitability

This study examines how the issuance of a central bank digital currency (CBDC) affects both the payment instrument choice and asset allocation decisions of consumers, as well as the profitability of financial intermediaries. Specifically, we suggest a theoretical model where introducing a CBDC expands both payment and investment options for market participants but can also pose a potential threat to financial intermediaries if it raises borrowing costs significantly for financial intermediaries. Our analyses suggest that the issuance of a CBDC is a double-edged sword for an economy with greater payment and investment options for market participants on one edge and increased competition and the weakening of financial intermediary margins on the other edge.
An Exploratory Study on the Implementation of Student Loans in Alleviating Poverty and Its Contribution to Human Capital Development in Sierra Leone

The investment in education creates present costs but brings benefits in the future such as increased earnings, improved health, economic growth, long life, and better service delivery in the place of work. The student expenses include but are not limited to tuition fees, books, and lodging costs which can be classified as direct costs and the opportunity cost of forgoing present leisure for expected benefits. Taking a loan from a bank requires collateral such as houses or machinery but this is not the case with student loans hence stringent agreement must be signed by the students showing commitments on the side of the student to honour future liabilities from future earnings as a student cannot contractually commit to handing over their future labour to a lender in exchange for upfront cash, because indentured servitude is illegal. The limitation of not providing collaterals has made it possible for governments to be the key investors if not the only investors in student loans as private investors are reluctant to provide unsecured loans; although there have been occasional efforts to offer loans securitized by human capital, none has moved beyond a small niche market This market failure explains why governments play an important role in lending for education in developed and developing countries and there is remarkably little compelling evidence of the effect of student loans on educational. Higher education or tertiary education has been perceived as an important sector that contributes to economic progress among the countries of the world. Higher education has grown rapidly in Sierra Leone, at the same time the cost of higher education is also rising in all Tertiary Educational Institutions in Sierra Leone. Education loans or student loan schemes, as one of the sources of financing higher education, have been introduced in most countries around the world. This paper attempts to understand the student loan schemes introduced such as tuition fees, accommodation, and learning materials, and implemented in Sierra Leone through the government of Sierra Leone. The study concludes that the student loan procedures followed in other countries such as the Income-contingent loan (ICL) model that is been widely used around the globe and this recommendation be considered with suitable modifications for the improvement of our education loan scheme at present. In addition, future research recommendations were made.
AI and Blockchain: Towards Trustworthy and Secure Intelligent Systems

AI and Blockchain are two of the most promising technologies of the 21st century. They both have the potential to revolutionize various industries and bring about significant changes in the way we live and work. However, for AI and Blockchain to reach their full potential, they must be implemented in a trustworthy and secure manner. This is where the combination of AI and Blockchain comes in. By using Blockchain technology to secure and validate the data used to train AI systems, we can ensure that these systems are trustworthy and reliable. Additionally, by using AI to secure and validate Blockchain transactions, we can ensure that these transactions are safe and secure. Together, AI and Blockchain have the potential to create intelligent systems that are both trustworthy and secure.The integration of AI and blockchain can also enable new use cases such as decentralized autonomous organizations (DAOs) which can take decisions autonomously by using AI, and Smart contracts which can automatically execute the terms of a contract when certain conditions are met. This can bring about improvements in transparency, immutability, and accountability in various industries such as finance, healthcare, and supply chain management. However, the integration of AI and blockchain also raises important ethical and legal considerations, such as privacy, bias, and accountability. Therefore, it is crucial to continue researching and developing best practices for the implementation of AI and blockchain in order to ensure their responsible and effective use.