Reviewerly/exHarmony huggingface dataset:
Improve Image Decoding in Lightweight Environment Using a Coroutines Based Approach

The JPEG2000 still image compression standard, while providing a remedy for the many shortcomings of its predecessor JPEG, is still slow to establish itself on the Internet.This problem is mainly due to the complexity of the COder-DECoder (CODEC) which implies its non-adoption by large firms and platforms in the field of image acquisition, processing and transmission.Indeed, the encoding and decoding process consumes a lot of CPU, memory and energy resources and takes a lot of computing time.The objective of this paper is to propose a model for decoding jpeg2000 on lightweight devices running on the Android mobile operating system.This implementation uses coroutines, which are a lightweight process model with reduced resource consumption costs compared to conventional AsyncTask threadsets.The model minimizes decoding time while minimizing CPU and memory usage, resulting in a fast and energetically economical decoded image.The results of integrating the coroutines from the main thread into the decoding process instead of the AsyncTask from the main thread produced better performance in terms of computation time, CPU and memory utilization.Indeed, the use of our model has led to a gain of around 23.41% in execution time, 9.8% in CPU utilization rate and 18.56% in memory utilization rate, compared to the model proposed in the literature which uses the threads.
Mobile technology and use of educational games in HE

The number of Higher Education institutions (HEIs) that use mobile technology to support learning is increasing. Mobile technology overcomes geographical, physical, and time restrictions enabling services anytime, anywhere, and on any device. Advances in technology (wireless connectivity, large storage capacity, speech recognition, decreased cost, and increased ownership) have resulted in the adoption of mobile devices in the learning process. Mobile devices affect human-computer interaction, facilitate collaboration and communication, enhance student engagement in learning, stimulate motivation and improve student-academic interaction. In this context, there is an increasing interest in the use of games not only because of their characteristics but also because of the educational opportunities they offer. Games can serve as a link between the classroom and real-world setting, providing students with real-life learning experiences. Use of games and possible areas that these could support the learning process in Library and Information Science (LIS) are discussed.
Corona virus (COVID- 19) and education for all achievement: artificial intelligence and special education needs- achievements and challenges

The shortage of well-trained teachers especially in special education is a serious problem worldwide. To attain education for all as enshrined in the Sustainable Development Goals (SDGs), there is urgent need for robot ways of solving this problem with grave consequences for the future of children with disabilities and special education needs. Thus, education delivery methods like other services need to be innovative. The purpose of this studi is to examine the achievements and challenges in the application of AI for teaching children with special education needs. This research used the literature review method. The result of this study shows that AI has the power to enhance learning for children with special needs while curbing some of the problems such children are encountering in accessing quality and relevant education. In conclusion the findings revealed some significant achievements and the possibilities of more if the appropriate technologies are applied consistently with the right environment both in schools and homes.
Psychological component of school adaptation of first-graders in the conditions of modern educational establishments of various types

The subject of this research is the psychological component of school adaptation among first-graders of public and sanatorium-based boarding schools. The author describes and compares the characteristics of psychological component of school adaptation. The goal consists in determination of peculiarities of the psychological component of school adaptation of elementary school students in the modern educational establishments of various types. The research involved 110 first-graders 7-8 years old (56 girls and 54 boys). The sampling is aligned by gender, age, and school. Research methodology contains the following projective techniques: &amp;rdquo;Little Houses&amp;rdquo; by A. O. Orekhova; &amp;ldquo;Faces&amp;rdquo; by N. V. Lukyanchenko and T. L. Yadryshnikov; &amp;ldquo;House-Tree-Person&amp;rdquo; by J. Buck, with symptom complexes formulated by Bieliauskait&amp;#279;. The method of descriptive statistics revealed that the majority of first-graders of sanatorium-based boarding school demonstrate negative emotions, insecurity, anxiety, lack of confidence in themselves, &amp;nbsp;inferiority feeling and depressiveness; while the majority of children of public schools experience emotional maladaptation, emotional tension towards mastering school subjects. Using Mann&amp;ndash;Whitney U test, the author determines that the students o sanatorium-based boarding school much rarely demonstrate emotional towards school activity; emotional maladaptation is more characteristic to the students of public schools. The research materials are applied in educational process by the pedagogues, psychologists, and school administrations for determining the individual and differentiated approach towards students; as well as in a cycle of scientific and practical seminars for school pedagogues and parents of the students.
Delegating a Product of Group Exponentiations with Application to Signature Schemes (Submission to Special NutMiC 2019 Issue of JMC)

Abstract Many public-key cryptosystems and, more generally, cryptographic protocols, use group exponentiations as important primitive operations. To expand the applicability of these solutions to computationally weaker devices, it has been advocated that a computationally weaker client (i.e., capable of performing a relatively small number of modular multiplications) delegates such primitive operations to a computationally stronger server. Important requirements for such delegation protocols include privacy of the client’s input exponent and security of the client’s output, in the sense of detecting, except for very small probability, any malicious server’s attempt to convince the client of an incorrect exponentiation result. Only recently, efficient protocols for the delegation of a fixed-based exponentiation, over cyclic and RSA-type groups with certain properties, have been presented and proved to satisfy both requirements. In this paper we show that a product of many fixed-base exponentiations, over a cyclic groups with certain properties, can be privately and securely delegated by keeping the client’s online number of modular multiplications only slightly larger than in the delegation of a single exponentiation. We use this result to show the first delegations of entire cryptographic schemes: the well-known digital signature schemes by El-Gamal, Schnorr and Okamoto, over the q -order subgroup in ℤ p , for p , q primes, as well as their variants based on elliptic curves. Previous efficient delegation results were limited to the delegation of single algorithms within cryptographic schemes.
THE CHARACTER VALUE IN THE FAIRY TALE "CERITA CALON ARANG" BY PRAMOEDYA ANANTA TOER AS A MEANS OF EARLY CHILDHOOD EDUCATION

The purpose of this study is to describe the value of characters found in fairy tales. This type of research is descriptive qualitative research with content analysis techniques. The theory used is the theory of children's literature and character education. Source of research data in the form of a fairy tale entitled The Story of Candidate Charcoal by Pramoedya Ananta Toer totaling 100 pages published by PT. Lantern Dipantara in 2003. Data validity was tested using data triangulation and method triangulation. Data analysis is carried out in stages: a) identification of fairy tales as research objects; b) data reduction; c) data presentation; d) interpretation of data according to children's literary theory and character education; e) inference (Miles Huberman, 1994). The results of the study found fourteen character values, namely: wise, socially caring, fond of reading, prominence, compassion, democratic, good decision-makers, good citizens, care for the environment, religious, respectful, cooperation, curiosity, and brave character. This research shows that fairy tales can be used as teaching materials for character education. However, development research needs to be done regarding increasing crime in the community. Various efforts in transmitting the values of character education to students have been carried out both in the family, school, and community environment.
Quantifying Robustness and Capacity of Reservoir Computers with Consistency Profiles

We study the consistency property in reservoir computers with noise. Consistency quantifies the functional dependence of a driven dynamical system on its input via replica tests. We characterise the high-dimensional profile of consistency in typical reservoirs subject to intrinsic and measurement noise. An integral of the consistency is introduced to measure capacity and act as an effective size of the reservoir. We observe a scaling law in the dependency of the consistency capacity on the noise amplitude and reservoir size, and demonstrate how this measure of capacity explains performance.
Process Innovation and Competitive Advantage in Telecommunication Companies

Innovation is key to achieving a competitive advantage. In a bid to achieve competitive advantage, companies have considered different types of innovation. Each firm establishes its own competitive niche depending on the conditions that allow it to be productive within that specific niche. Process innovations have emerged as some of the key competitive fronts for many firms including the telecommunications industry. This paper focuses on establishing the effect of process innovation on the competitive advantage of the telecommunication industry in Kenya. The study adopted a descriptive research design using a sample size of 26 active telecommunications companies in Kenya. The respondents were mid and top-level managers. The linear regression model showed process innovation statistically affects the competitive advantage of telecommunication companies in Kenya (β = .302t = 4.952, p&amp;lt;.05). The study recommends telecommunication companies to design processes that provide optimum returns and use disruptive technology to design innovative processes.
Utilizing Emoji in Collecting Training Instances of a Model for Sentiment Analysis of Tweets

This paper proposes a method of automatically collecting a dataset for training a tweet sentiment analysis model. The proposed method automatically collects the training dataset based on the existence and the types of emoji. In this paper, we make a comparison between the sentiment analysis model trained with the automatically collected training dataset and the model trained with a training datasetthat has manually identified sentiment labels. The evaluation result demonstrates that, in terms of the performance of the trained tweet sentiment analysis model, automatically collected 9,000–136,212 tweets correspond to 270–540 tweets with manually identified sentiment labels.
A pareto ensemble based spectral clustering framework

Abstract Similarity matrix has a significant effect on the performance of the spectral clustering, and how to determine the neighborhood in the similarity matrix effectively is one of its main difficulties. In this paper, a “divide and conquer” strategy is proposed to model the similarity matrix construction task by adopting Multiobjective evolutionary algorithm (MOEA). The whole procedure is divided into two phases, phase I aims to determine the nonzero entries of the similarity matrix, and Phase II aims to determine the value of the nonzero entries of the similarity matrix. In phase I, the main contribution is that we model the task as a biobjective dynamic optimization problem, which optimizes the diversity and the similarity at the same time. It makes each individual determine one nonzero entry for each sample, and the encoding length decreases to O ( N ) in contrast with the non-ensemble multiobjective spectral clustering. In addition, a specific initialization operator and diversity preservation strategy are proposed during this phase. In phase II, three ensemble strategies are designed to determine the value of the nonzero value of the similarity matrix. Furthermore, this Pareto ensemble framework is extended to semi-supervised clustering by transforming the semi-supervised information to constraints. In contrast with the previous multiobjective evolutionary-based spectral clustering algorithms, the proposed Pareto ensemble-based framework makes a balance between time cost and the clustering accuracy, which is demonstrated in the experiments section.
Education of the twenty first century: features of development

Relevance. The modern world is special, unprecedented changes are taking place. At the same time, present-day education does not always meet the challenges of the new millennium. The foregoing has a negative impact on the rate of development of the society and the country as a whole. The problem of this study is to reveal the aspects associated with the rapid changes in the society and the World in general, and to determine the trajectory of educational development in the third millennium. The aim is to identify, generalize and interpret the ideas for building education in the 21st century, to determine and substantiate the ways of its development. Methodology. When preparing the material, the author assigned primary importance to the conceptual provisions of humanistic pedagogy, along with the principles of integrity and systemness; objectivity; universal interrelation between phenomena; combination of the development retrospective with the development prospects; regarding the process of education development as self-evolution and self-development. Results and discussion. The proposition that education of the 21st century should be the advance one in its nature is substantiated. There is a focus on the skills to be mastered by everyone who will live in the house of the third millennium. Some content-related and technological aspects of education at a new stage of its development are revealed. Much attention is devoted to the questions of what a Person of the 21st century should be and what role the education plays in this process. The most controversial are the issues regarding transformations in the educational system: what changes are needed to create advance education, what should be improved in the nurturing system to enable a person of the third millennium not only to protect the modern civilization from sliding to the abyss, but also to ensure its progressive development, etc. Conclusion. According to futurologists, in the next two or three decades education will have to cover the distance that used to take two or three centuries. This will contribute to changes in its organizational, content-related and technological aspects. Education should become the advance one, ensuring the advance development of all institutions of the society and the country as a whole.
Cryptocurrency-Related Cybercrimes in Ukraine

Cybercrime, including cryptocurrency-related cybercrime, has become widespread in recent years. Despite a thorough study of cybercrime issues, there is still no legislative position on the legal regulation of cryptocurrencies and the responsibility for cryptocurrency-related cybercrime in Ukraine. The authors classify and characterize all cryptocurrency-related cybercrimes into five groups. In view of the spread of cryptocurrency-related cybercrimes, the EU’s counteraction measures have been analyzed. Ways to prevent and counteract to cryptocurrency-related cybercrimes in Ukraine are suggested.
Studying dynamic mathematics software in the professional training of teachers of computer science, mathematics, and IT specialists

The article deals with the need to study dynamic mathematics software by future mathematics teachers, informatics teachers, and IT-specialists. Emphasis is placed on the ability to organize an effective learning process using dynamic mathematics software. The authors raise the issue of practical training of mathematics teachers, students of specialty 014 Secondary education (Mathematics, Informatics), and 122 Information's Technology of Makarenko Sumy State Pedagogical University (Ukraine), an integral part of which is the formation of skills of mathematical objects cognitive modeling. Examples of tasks aimed at developing knowledge and ability to use the tools of dynamic mathematics software in the future professional activity-are given. It is noted that the formation of such skills occurs, in particular, when writing a text of a lesson fragment using dynamic mathematics software, with its subsequent presentation and discussion. The dynamic of qualitative changes in the content of the laboratory work is shown.
Fall Detection Monitoring System Based on MEMS Sensor

Abstract In order to get timely treatment after the elderly fall, this paper proposes a wearable device to monitor the fall of the elderly. The device includes a data acquisition module, a data processing module, and a wireless communication module. With the elderly wear the device at the waist, the human body posture data will be collected by data acquisition module, and will be processed by data processing module, and combines the random forest algorithm to distinguish between daily activities and fall behaviors. When the fall occurs, the device alarms by sound and light. At the same time, the transparent cloud platform matched with the wireless communication module can monitor the position and status of the elderly in real time. When a fall occurs, the emergency contact will be notified through WeChat and email, and the real-time alarm will be realized, and the old man will get timely treatment after the fall.
Formation of the Library of the Ural Branch of the USSR Academy of Sciences in 1932—1940

The article considers organization of information and library services for scientists of the Ural Branch of the USSR Academy of Sciences during the formation of academic science in the Urals in 1932—1940. The author discusses the activities of the Library of the Ural Branch of the USSR Academy of Sciences (now the Central Scientific Library of the Ural Branch of the Russian Academy of Sciences, the Central Scientific Library of the UB RAS) against the background of the development of the Branch, which experienced repeated attempts to reform and eliminate in the first years of its existence. Financial and personnel difficulties of those years affected both the activities of the Ural Branch of the USSR Academy of Sciences as a whole and the development of the Library. The turning point in the history of the Library of the Ural Branch of the USSR Academy of Sciences was its integration in 1939 into the Ural Institute of Physics and Technology, which had considerable material resources and personnel potential. Based on the library and previously unknown archival documents, the author makes the conclusion on the simultaneous formation of both collections — the Branch library and the Institute library, which later formed the unified library stock of the Library of the Ural Branch of the USSR Academy of Sciences. The article studies the development of each of these collections during 1932—1940. The author describes contribution of individual scientists to the development of the Library, the history of the appearance of some private collections in its holdings. The article provides information about the first employees of the institution.
Tunnel Parsing with counted repetitions

The article describes a new and efficient algorithm for parsing, called Tunnel Parsing, that parses from left to right on the basis of a context-free grammar without left recursion and rules that recognize empty words. The algorithm is applicable mostly for domain-specific languages. In the article, particular attention is paid to the parsing of grammar element repetitions. As a result of the parsing, a statically typed concrete syntax tree is built from top to bottom, that accurately reflects the grammar. The parsing is not done through a recursion, but through an iteration. The Tunnel Parsing algorithm uses the grammars directly without a prior refactoring and is with a linear time complexity for deterministic context-free grammars.
Financial Statement Analysis and Investment Decision Making in Commercial Banks: A Case of Bank of Kigali, Rwanda

This research analyzed the contribution of financial statements in investment decision making of banks in Rwanda taking the case of bank of Kigali.The study ascertained benefits of financial statements analysis; it analyzed obstacles of investment decisions faced by Bank of Kigali; and it established the correlation of investment decisions and financial statements analysis of Bank of Kigali.This study is significant to different beneficiaries, such as researcher, other researchers and National Bank of Rwanda.Both a descriptive and a correlational research design were adopted and quantitative and qualitative methods were used 0.126 managers were targeted and 96 managers were sampled and a stratified random sampling technique was utilized in bank of Kigali.Data from the field was collected using questionnaire and a documentary analysis where financial reports of the bank from 2014 to 2018 were analyzed.This research used correlation analysis and SPSS version 22.0 for analysis.The finding revealed that holding independent variables constant to a constant zero, short term investment decision would be at 0.266 for common size analysis while the most significant p-value was 0.008.The finding revealed that holding independent variables constant to a constant zero, Vertical analysis would be at 0.215 for horizontal analysis and element enhanced ratio analysis in the term investment decision limited by a factor of 0.001 correlated with the long term investment decision.It is concluded that understanding financial statement analysis provides that is very important to those who have the businesses as tools for reducing the considerable risks involved in starting and growing the business.Financial status of Bank of Kigali need to be maintained through the enhancement of good flow of deposits, savings and repayment arrangements to enable it serve its members while enhancing quality decisions for better service provision and also there is a need to invest in business, technology, product development, training and effective risk How to cite this paper: