Reviewerly/exHarmony huggingface dataset:
TOWARD BETTER DRIVING WITH GAZE AWARENESS ENVIRONMENT SUPPORTED BY AREA SEGMENTATION

It is important to make car-drivers improve their way of looking for recognizing key objects or areas precisely.This study designs a system following such a motivation that distinguishes several areas in a display with weights of importance.A present proposing function for successful area detection offers drivers an opportunity to compare their gaze with experts.Concrete method for this implementation includes U-Net that is one of major techniques of machine learning combined with grid segmentation.
A Geometric View to Reweighted Graph Total Variation Blind Deconvoluton: Making It Faster and Better

It is known image priors are essential to blind deconvolution. Reweighted graph total variation (RGTV), as a new prior to substitute the most classic TV, is shown superior to TV as well as several other state-of-the-art models in terms of both theoretical and empirical performance. In this paper, we take a step forward providing a simpler geometric view to RGTV, instead of the previous graph spectral interpretation made in the graph frequency domain. In specific, we formulate blind deblurring just via use of a derivative of the Leclerc loss, which is geometrically proved an appropriate candidate to promote the piecewise smoothing and sharpening desired by RGTV. A by-product of such a perspective is to closely relate blind and non-blind deblurring in a fairly naive fashion. A fast algorithm is then deduced to update the sharp image and blur kernel alternately, through implementing our simplified RGTV as a reweighted-L1 regularizer rather than a graph L1-Laplacian regularizer. Numerous experiments on challenging blurred images show a much better performance of the proposed approach than original RGTV, in terms of both effectiveness and efficiency. Additionally, the proposed method achieves a comparable or superior performance to other state-of-the-art methods, either model-based or deep learning-based ones.
CloudScript and Azure Functions

PlayFab introduced CloudScript to implement server-side logic, which provides endless opportunities to customize your game’s backend. The CloudScript code runs on PlayFab-managed servers and has access to the PlayFab API.
Infant Brain MRI Segmentation Using Deep Volumetric U-Net with Gamma Transformation

The growth of the brain from infantile to adolescence is very complex and takes a very long period. There are many processes such as myelination, migration, neural induction, and many other time-taking processes to study the development of the brain. This makes it necessary to develop some automatic tools to study the development of the brain. The brain consists mainly of three parts white matter, gray matter, and cerebrospinal fluid. So, quantitative tools will be a great boon for the medical community to deal with the brain if the brain MRI images are segmented into these three different parts. Although there are some tools for segmenting adult MRI images, for 6-month child segmentation, the brain becomes challenging as the white matter and gray matter are almost indistinguishable due to the brain development process. Segmentation of brain MRI images can identify specific patterns that contribute to healthy brain development. The dataset to address this problem had been taken from the Iseg2019 challenge conducted by MICCAI. Segmentation of MRI needs expert doctors. Advancements in computer vision techniques can be used to replace present time-consuming work. This paper proposes a deep learning model for image segmentation using a three-dimensional U-net. The proposed model gives dice values of 93.75, 88.24, and 85.64 for cerebrospinal fluid, gray matter, and white matter. This paper also presents various experimental results of U-net, attention U-net with different modifications.
Higher Education Institutions Management in a Pandemic

The article studies higher education institutions' management systems during the pandemic. The research field was determined by two modern higher educational institutions - Kyiv University named after Taras Shevchenko and Lviv Polytechnic National University. Their activities were evaluated on the basis of developed strategies, development plans and internal quality management documentation. The conducted research revealed a complex of interrelated problems. Technical problems are associated with the involvement and maintenance of relevant software complexes. Educational and methodological problems consist in the improvement and adaptation of methodological complexes and the system of evaluating the results of student learning in the aspect of control. Management problems focused on solving operational control over the educational process and its quality content. The research proved that the management of higher education institutions solves the identified problems independently through the formation of auxiliary departments of academic mobility, internal control and audit, targeted training, and international cooperation. However, it was noted that the problem related to communication - "student-teacher" remains unsolved, despite personal-oriented training in combination with traditional ones based on many years of pedagogical experience. In general, the necessity of applying flexible teaching methods to higher educational institutions to adapt to the long-term pandemic was noted.
The pairwise method for covariance parameter selection in Gaussian process regression model

With the development of computer technology, experiments of computer are being performed with a simulator, and the tuning parameters are optimized with metamodel. As a metamodel, the Gaussian process regression model (GPRM) has been used in many studies.&#x0D; GPRM consists of regression coefficient 's and covariance parameter 's. In order to make a better GPRM, many studies have been dealt with the selection of , but only Welch's algorithm (1992) for has been proposed. We propose a selection method using all possible pairwise combinations. The combinations of are classified using the Bayes information criterion(BIC) and Bonferroni correction. Welch's algorithm estimates only a few important ’s individually and estimates the remaining as a single common . In the proposed algorithm, several common ’s may appear depending on the characteristics of , and the calculation time is cheaper because only two-dimensional data are considered. The prediction performance was compared to the Welch's algorithm in the sense of root mean square error (RMSE) through three test functions.
PENGEMBANGAN MEDIA PEMBELAJARAN SENI BUDAYA DI SEKOLAH DASAR BERBASIS MIT APP INVENTOR PROFESSIONAL DALAM TEAM BASED PROJECT PROTOTYPE CURRICULUM

This study aims to design and develop Fine Arts Learning Media Using Professional MIT App Inventors in a Team Based Project-Based Prototype Curriculum for PGSD FIP UNIMED students. The use of applications is certainly an alternative to fulfill students` artistic competence as prospective teachers. The context of students who come from cultural diversity is the basis for researchers to create teaching materials that can include various arts and cultures in Indonesia. The product results have gone through the stages of validity, implementation and effectiveness testing. With trials conducted, the resulting product is valid (proper in content and appearance), implementation (easy to use by lecturers and students), and effective (can improve student learning processes and outcomes). The development model uses a 4D model that emphasizes the need for learning outcomes. In the identification phase, needs analysis, concept analysis, technical training success analysis, usage analysis and cultural diversity analysis are conducted. The development phase is implemented with 3 main activities: validation testing, implementation testing, and performance testing. At the last stage, the product is widely distributed.
An Analysis of the Grammar Sections of English Textbooks for Junior High Schools in China: Based on Larsen-Freeman’s Three-Dimensional Grammar Theory

This paper analyzes the grammar sections of BNUP (Beijing Normal University Press) English textbooks for junior high schools in China, aiming to investigate whether the grammar sections of BNUP English textbooks conform to Larsen-Freeman’s three-dimensional grammar theory. Seven categories are used to analyze the grammatical dimensions of grammar item presentation and grammar exercises to show the interconnections among the three dimensions from a holistic perspective. The results are as follows. The three dimensions (form, meaning, use) of grammar are reflected in both grammar item presentation and grammar exercises, but the distribution of the three dimensions is unbalanced. Both grammar item presentation and grammar exercises focus much on the ‘form’ dimension leaving the other two dimensions (meaning, use) less attentive. Thus, the composition of the grammar sections of BNUP textbooks is not in line with Larsen-Freeman’s three-dimensional grammar theory, which emphasizes that teaching and learning grammar should not be skewed toward one dimension. Based on the research findings, this paper not only sets the direction for the development of English textbooks but also provides insights for teachers on how to teach grammar well. (Hoseo University)
The Role of the Belarusian Republican Fund for Fundamental Research in the Training and Education of the Young Scientific Elite

The analysis of the basic principles of the youth policy of the Belarusian Republican Foundation for Fundamental Research (BRFFR) and its role in the training of the young scientific elite has been carried out. On the example of the results of the youth competition “Science M” for the period 1997-2022 the dynamics of participation in this competition of various contingents of young scientists according to the departmental subordination of universities and scientific organizations is shown, as well as the sectoral structure of youth projects in scientific areas and their compliance with modern trends in the development of world science. On the basis of the data of a sociological study of professional and career trajectories of leaders of youth scientific projects in the “Science M” competition, supported by the BRFFR for the period 1997-2017, the quantitative and gender composition of the defended leaders, as well as the sectoral structure of their doctoral and master’s theses, are shown. In conclusion, the ways of improving the youth policy of the scientific fund in the conditions of sanctions pressure on the scientific sphere in Russia and Belarus are determined.
Once Again of Education... Book review by G. Yu. Lyubarsky “Education of the Future. University Myth and the Structure of Opinions on Education in the 21st Century”

The article deals with the main problems of the modern stage of the development of education, raised in the book by G. Lyubarsky. First of all, we are talking about the ideas, if not myths, of the mass consciousness about education, which often do not correspond to reality. In modern society, and Russian education is no exception, education, including higher education, has essentially disappeared. Only its formal institutions survived. Among the reasons is the increasingly fragmented nature of the knowledge gained, the transformation of the very process of education into entertainment, since today it should be, first of all, interesting. Describing the field of scientific research, the author of the book comes to the conclusionthat the notorious media coverage has also played its negative role here, tearing the unified field of science apart and hindering scientific research in those areas and disciplines that do not promise a quick media or commercial effect. Science has become just one of the ways of intellectual production, but not everyone is ready to accept this new reality. The role of the university as an institution for the transmission of culture has also been eroded.
The Mirror of Science

Turn to the life and work of outstanding scientists and citizens of our country – academicians P. L. Kapitsa, V. A. Koptyug, N. L. Dobretsov – allows the authors of the article to identify the prominent role of the leaders of national science against the backdrop of crises, including era of fundamental changes in the country and society. What ideas regarding the organization of scientific research were put forward by them and were implemented, what is the role of the state in the life of the scientific community? The authors of the article reflect on this and other issues of national science, relying on the creative heritage of its leaders.
Mr. Scrum: A Reference Model to Foster and Facilitate the Adoption of Scrum in the Agile Software Development Companies

Scrum is one of the most used agile approaches in the software industry.However, some aspects can hinder its implementation, e.g., the lack of detail of artifacts, meetings, generation of the product backlog, and team composition, among others.This paper presents Mr. Scrum, a Scrum reference model obtained from comparing existing Scrum guides and applying the GQM (Goal-Question-Metric) paradigm.Mr. Scrum proposes a clear and complete set of process elements, as well as: purpose, objectives, phases, activities, roles, satisfactory-expected results, and process flows.The proposed model was evaluated through a focus group where its suitability, clarity, and completeness were evaluated.The findings show that the participants agree with the acceptance of the proposed model and that its use in the industry could motivate and facilitate the adoption, implementation, and evaluation of the Scrum implementation.In this sense, Mr. Scrum would allow professionals and organizations to be guided toward a better understanding of Scrum and minimize the subjectivity and error of its interpretation, adoption, and assessment.
N. G. Chernyshevsky’s survey reviews on historical and geographical works of A. S. Norov

Awide range of diverseworks represents thescientific, journalistic and literary heritage ofN. G. Chernyshevsky. Reviews andsurveys of historical works occupy a prominent place among them. The paper attempts to analyse two such surveys on the historical studies of the Minister of Public Education A. S. Norov. The author of the paper concludes that N. G. Chernyshevsky thoroughly reviewed his scientific publications showing a deep knowledge of the issues presented there. N. G. Chernyshevsky’s analytical reviews can be considered as some addition to the problems of A. S. Norov’s works.
Members of the Academy of Sciences from the 18th to the First Third of the 20th Century in the Sources of St. Petersburg Archive of the Russian Academy of Sciences

This paper explores the chronicles and documents of St. Petersburg Archive of the Russian Academy of Sciences (SPbA RAS) that contain information about the staff of academic institutions of the 18th – first third of the 20th century. Conducted at SPbA RAS, the research included the study of documents from the personal archives of academicians, prominent scientists and stakeholders in science, and resulted in a number of published biographies of these scientists (the work in progress). The study of personnel documents from the archives of academic institutions helped to reconstruct the staff lists of some of these institutions, uncover hundreds of ordinary scholars and researchers and publish some previously unknown scientific biographies. Concerning temporary academic and technical staff, the most fruitful was the Archive No. 4 with the documents of the Committee of the Board of the Academy of Sciences, Administration of Affairs of the Academy of Sciences; Administration &amp; Maintenance Department of Leningrad Institutions of the Academy of Sciences. Here, for the 18th–19th centuries, the key source were the staff records, for the Soviet pre-war period – the extensive staff file (ca. 12,000 cards). The details of the academic staff are now entered in the e-database of SPbA RAS, which currently includes information about more than 39,000 persons (http://ranar.spb.ru/persons).
Personal Digital Archiving and Catastrophic Data Loss: Is it Getting Better?

Abstract Given the changing landscape of personal computing, this study asks: (1) has the occurrence of personal catastrophic data loss improved with the maturity of digital technology and services, and (2) have the reasons for data loss changed with the maturing of digital technology? These questions are addressed through a qualitative content analysis of N = 136 participant responses from 2013 to 2022 to a question about their personal experience of data loss. The study finds that there is no decline over time in participant’s experience of data loss, and the reasons for data loss continue to be varied. Losing digital information endures as an unpleasant experience for today’s computing users, and personal digital archiving ought to be introduced to young people early on to avoid learning about data loss “the hard way.”
Fine-grained flexible access control: ciphertext policy attribute based encryption for arithmetic circuits

Applying access structure to encrypted sensitive data is one of the challenges in communication networks and cloud computing. Various methods have been proposed to achieve this goal, one of which is attribute-based encryption (ABE). In ABE schemes, the access structure, a.k.a policy, can be applied to the key or ciphertext. Thus, if the policy is applied to the key, the ABE scheme is called the key policy attribute-based encryption (KP-ABE), and if it is applied to the ciphertext, the scheme is called the ciphertext policy attribute-based encryption (CP-ABE). Since in the KP-ABE, the policy is selected once by a trusted entity and is fixed then, they are not suitable for applications where the policy needs to change repeatedly. This problem is solved in CP-ABE, where the policy is selected by the sender and can be changed for each message encryption. Furthermore, it is desired in the ABE schemes that a strong fine-grained access control can be realized. While most of the existing access structures are of Boolean type, an arithmetic access structure can support a stronger fine-grained access structure. We present the first CP-ABE scheme with an arithmetic circuit access policy based on the multilinear maps. First, we outline a basic design and then two improved versions of this scheme, with or without the property of hidden attributes, are introduced. We also define the concept of hidden result attribute based encryption (HR-ABE) which means that the result of the arithmetic function will not be revealed to the users. We define a new hardness assumption, called the $$(k-1)$$ -distance decisional Diffie–Hellman assumption, which is at least as hard as the k-multilinear decisional Diffie–Hellman assumption. Under this assumption, we prove the adaptive security of the proposed scheme.
The Use of the K-Nearest Neighbor (KNN) Algorithm in Analyzing the Views of the Indonesian Society Regarding the Policy of Covid-19 Booster Vaccine

At beginning of 2020, the world was shocked by the outbreak of the coronavirus from China. The coronavirus caused panic in China and killed thousands of Chinese people. Many people seemed to rely on social media for more information. As a result, social media platforms have become mediators between individuals and the rest of the world, even becoming the fastest-growing social applications. Among several well-known social media platforms, Twitter has gained special attention because users can easily broadcast information about their opinions on certain topics through public messages, called tweets. There was public anxiety about the Covid-19 vaccination. Public opinion and unrest are posted on Twitter. Based on this case, it is necessary to analyze the views or opinions of the public regarding the Covid-19 vaccination policy, especially regarding the Booster Vaccine type which can be categorized into positive or negative opinions circulating on Twitter. This research aims to analyze the views of the Indonesian people toward the Covid-19 Booster Vaccine using the K-Nearest Neighbor Algorithm (K-NN).
Electronic Library: Yesterday, today and tomorrow

The evolution of e-libraries (EL) is reviewed. Several definitions of the term e-library are examined. The core EL function is to build collection of arbitrarily located documents on various media. The differences between ELs and collections of digital resources are analyzed. EL types are listed. Russian electronic library systems (ELS) are characterized. The national electronic libraries (NEL) and open information archives are the main trends in EL development. The EL is the subject of e-librarianship, the newest specific discipline of the library science.
Scientific Conveyor: Methodology for Supporting Research in Master's Programs

The specifics of conducting scientific research in the humanitarian field are characterized by their interdisciplinary orientation, which makes it urgent to select priority topics on the studied issues. A particularly important aspect of conducting scientific research in the master's degree is the reasonable choice of digital resources for the collection and subsequent analysis of textual data. To increase the efficiency of interdisciplinary scientific research, we present the author's approach, which we have called a Scientific Conveyor, which can act as a methodology for organizing research in the master's degree. The article reveals the definition of Scientific Conveyor and describes its main elements. The application of Scientific Conveyor in scientific activity in the direction of the master's degree 37.04.02 "Conflictology" at St. Petersburg State University is described.
Arabic Language Sentiment Analysis Using Feature Engineering and Deep Learning RNN-LSTM Framework

Consistent enormous generated data on the internet becomes one of the most sophisticated tasks that need profound artificial analysis. Given that, the researches in sentiment analysis addressed many techniques to deal with sentiment analysis (SA) in multiple languages. Nonetheless, the state-of-the-art for the Arabic Language sentiment analysis (ALSA) quite needs more improvements. The research area in Arabic has many challenges on account of its complex, unique nature and structure. SA is the computational analysis of the people’s opinions, attitudes, emotions and evaluations from the document. This paper proposes an approach for examining the SA in the Arabic language using the linguistic feature extraction, word embedding and deep learning RNN-LSTM frameworks on the sentence level. The proposed model has been evaluated on a large Dataset of Arabic Tweets (ArSAS) reaching 21 thousand Arabic tweets twice. The first experiment was without considering the linguistic features and compared to extract the linguistics features from the data. The experiment demonstrates that the approach achieves state-of-the-art results and it shows a significant increase in the F-score reaching 81.1%.
Secure EHR Sharing Scheme Based on Limited Sanitizable Signature

Many sanitizable signature schemes have been proposed to facilitate and secure the secondary use of medical data. These schemes allow a patient, authorized by the doctor, to modify and re-sign his/her electronic health record (EHR) to hide sensitive information and the new signature can be verified successfully. However, this may lead to fraud because patients may forge medical records for profit. To further standardize sanitization and reduce the sanitizers power, this paper proposes a new limited sanitizable signature scheme, which allows the signer to not only decide which message blocks can be modified but also determine the maximum of modifiable blocks and the expiration time for sanitization. We also propose a secure EHR sharing scheme suitable for medical scenarios based on the above limited sanitizable signature to realize privacy preserving medical data sharing. Finally, the security analysis and experimental results show that the security and efficiency of our scheme can be accepted.