Reviewerly/exHarmony huggingface dataset:
Device and method for dynamic image display of financial transaction operation data

This article aims to improve the visibility of data in the financial process transactions, provide data support for transaction decisions and ensure the safety of the operation process. This resear...
An Economic Model of Consensus on Distributed Ledgers

In recent years, the designs of many new blockchain applications have been inspired by the Byzantine fault tolerance (BFT) problem. While traditional BFT protocols assume that most system nodes are honest (in that they follow the protocol), we recognize that blockchains are deployed in environments where nodes are subject to strategic incentives. This paper develops an economic framework for analyzing such cases. Specifically, we assume that 1) non-Byzantine nodes are rational, so we explicitly study their incentives when participating in a BFT consensus process; 2) non-Byzantine nodes are ambiguity averse, and specifically, Knightian uncertain about Byzantine actions; and 3) decisions/inferences are all based on local information. The consensus game then resembles one with preplay “cheap talk” communications. We characterize all equilibria, some of which feature rational leaders withholding messages from some nodes in order to achieve consensus. These findings enrich those from traditional BFT algorithms, where an honest leader always sends messages to all nodes. We also study how the progress of communication technology (i.e., potential message losses) affects the equilibrium consensus outcome.
Linguistic heritage and cultural horizons that meet.  An intercultural education experience for children hosted by a host educational community

The research questions that give rise to the contribution are essentially two: what happens in childhood when a new language becomes part of a child's linguistic heritage, due to a migratory phenomenon that was directly experienced or that, in the past, had affected the child's family (Favaro, 2013)? In what way can the mutual linguistic knowledge and the coexistence of children from different migratory backgrounds, included in a host educational community, be facilitated? The community can be thought of as the ideal place for a multilingual immersion, in which children, through frequent, natural and spontaneous interactions typical of everyday life, can familiarize with a second language, becoming aware not only of different sounds, but also of different cultural meanings. The contribution, in its first part, outlines a theoretical reference framework about the interaction between culture and linguistic variable; in the second part, describes the planning and execution, albeit in the initial phase, of an intercultural education intervention designed for children of other cultural origins, who live in an educational community, to enhance the linguistic and relational aspect of the dialogue among different cultures.
Pemanfaatan Sarana Dan Prasarana Dinas Perpustakaan Dan Kearsipan Kabupaten Siak

The purpose of this community service is to answer the problem where the learning community has not been realized, the guidance and stimulus for library members has not run optimally, library competitions and festivals are still not optimal. The method of implementing community service is carried out by discussion, providing material explanations about the use of office facilities and infrastructure for state civil servants and the public/visitors/members of libraries and archives. As a result, the Library and Archives Office of Siak Regency has a unique and interesting building, this is adapted to the characteristics of Siak Regency in its development that adopts Arabic and European architecture. The building that was originally walled with wood and houses on stilts has now become magnificent. Various facilities and infrastructure are available for both internal and external visitors. Internally, for example, attractive bookshelves, a very comfortable adult reading room. Then from the outside of the building or externally the availability of facilities for competitions (gazebo) and a large parking area. Everything that has been built by the Siak Regency Government needs to be utilized so that it is able to educate people's lives.
Noise-tolerant Coding in Steganography Problems

The article deals with the problem of masking hidden messages under natural noise in highly undetectable stegosystems &#x00B1;1HUGO and &#x2295;HUGO. According to the Arnold cat map algorithm, a preliminary discrete chaotic transformation of the hidden message ensures high resistance of stegosystems from hacking. Further, in their research, the authors effectively apply noise-tolerant coding for the covering object and stego using a self-orthogonal code. The model of a binary synchronous communication channel with interference is used to model the data transmission channel. The article also presents simulation modeling results, confirming the high resistance of the proposed stegosystems to hacking.
Artificial Neural Network Model (ANN) to predict electrical students' academic performance / Siti Aishah Che Kar ... [et al.]

This research presents a study of correlation between subjects of Diploma in Electrical Engineering (Electronics/Power) at Universiti Teknologi MARA(UiTM) Cawangan Terengganu using ANN. The analysis was done to see the effect of mathematical subjects (Pre-calculus and Calculus 1) and core subjects (Electric Circuit 1) towards Electronics 1, a core subject with a history of high failure rate percentage (more than 25%). This research has been conducted on current final semester students (Semester 5). Seven (7) models of ANN are developed to observe the correlation between the subjects. In order to develop an ANN model, ANN design and parameters need to be chosen to find the best model. In this study, historical data from students' databases were used for training and testing purposes. The Regression Coefficient, (R) values from the developed models was observed and analyzed to see the effect of the subject on the performance of students. It can be proven that mathematical subjects (Pre-calculus and Calculus 1) and core subjects (Electric Circuit 1) have significant correlation with the Electronics 1 subject.
Bio-Inspired Algorithms for Optimization of Fuzzy Control Systems: Comparative Analysis

This paper is devoted to the research and comparative analysis of the bio-inspired algorithms of synthesis and optimization of fuzzy control systems, in particular, ant colony optimization and genetic algorithms adapted for automatic rule base synthesis with the determination of optimal consequents for the Mamdani-type fuzzy systems. The studies and comparative analysis are conducted on a specific example, namely, at developing various rule base configurations of the fuzzy control system for the multipurpose mobile robot able to move on inclined and vertical ferromagnetic surfaces. For the quantitative assessment of the effectiveness and comparative analysis of the investigated algorithms, the specialized criteria are introduced. The recommendations for using the presented bioinspired algorithms for synthesis and optimization of fuzzy control systems of various types and dimension are formulated on the basis of obtained research results.
Face Recognition using Deep CNN Models

This paper presents the use of a deep learning convolutional neural network to recognize different human faces images. This study used three pre-trained deep CNN models to solve a three-class classification problem, which are three different person faces images. This work also aims to provide a quantitative assessment of the classifier's dependability based on performance measures. In this preliminary study, we used 120 human faces images to train deep CNN models. Using the results from three different deep CNN models (AlexNet, DenseNet201 and GoogLeNet), this study assesses the performance of the trained classifier and finds that it performs quite well in the prediction of validation data. The best performance result is AlexNet. The parameter metrics of the batch size, the number of epochs, validation frequency and learning rate are using to train CNN models of AlexNet are 10, 25, 35 and 0.001, respectively. Therefore, the mean accuracy, training accuracy, validation accuracy and error rate using AlexNet are 90.48 percent, 87.00 percent, 90.48 percent and 0.52 percent, respectively. It is concluded that the trained model is capable of classifying three different person faces well. In the future, more data could be utilized in the training network to improve the accuracy of the models. Another possible approach would be to integrate human faces images from different imaging modalities in the training to increase the variety of datasets on which a deep learning model can develop.
COLLABORATIVE ATMOSPHERE IN E-LEARNING ENVIRONMENT: HOW TO CREATE IT UNDER THE COVID-19 PANDEMIC

1 Moscow State Institute of International Relations (MGIMO University), Russian Federation (RUSSIAN FEDERATION)2 The Kosygin State University of Russia (RUSSIAN FEDERATION)3 Moscow Aviation Institute (MAI University) (RUSSIAN FEDERATION)
Compilation of Aggregates in ASP.

Answer Set Programming (ASP) is a well-known problem-solving formalism in computational logic. Nowadays, ASP is used in many real world scenarios thanks to ASP solvers. Standard evaluation of ASP programs suffers from an intrinsic limitation, knows as Grounding Bottleneck, due to the grounding of some rules that could fit all the available memory. As a result, there exist instances of real world problems that are untractable using the standard Ground and Solve approach. In order to tackle this problem, different strategies have been proposed. Among them we focus on a recent approach based on compilation of problematic constraints as propagators, which revealed to be very promising but is currently limited to constraints without aggregates. Since aggregates are widely used in ASP, in this paper we extend such an approach also to constraints containing aggregates. Good results, that proof the effectiveness of the proposed approach, have been reached.
USER-ADAPTIVE NOTIFICATION SOUND ASSIGNMENT FOR NOTIFICATION MESSAGES

When using software, various notification messages are displayed in response to users' operations.Although each notification message has its own importance level, users often do not perceive the importance level.For example, they just proceed with an operation without reading the content or they do not notice the notification itself.Meanwhile, sound is a common resource used to convey the importance of a situation and is often employed to make users aware of notification messages.Thus, it is effective to represent the importance of the notification message by sound.However, sound importance depends on the user.This paper proposes a determination method of notification sounds by evaluating the importance level of sounds by users.Then sounds are assigned to notification messages according to users' input.
A robust video watermarking technique based on key-frames extraction and contourlet transform

Video watermarking has encountered many types of attacks that can have some affection on the embedded watermark. Security, strength, and reliability are the essential challenges for any video watermarking technique. This research uses a Contourlet Transform for video watermarking system, the watermark image was included in the Contourlet Transform low-frequency coefficients for each video key frames to get the best possible quality and strength against various types of video attacks. Furthermore, the performance of the method was estimated through usage infusibility analysis measurements such as the Peak Signal-to-Noise ratio (PSNR), the Normalized correlation (NC), and the Structural Similarity Index Measurement (SSIM) between original video and the watermarked one. The average PSNR,NC,and SSIM for watermarking were 55.00 dB,1.00,and 0.99, respectively, according to the test  results. Hence, Normalized cross-correlation (NCC) and correct bitrate ratio (BCR) were calculated as measures of strength between the extracted watermark and the original watermark. The results showed how this approach is very robust. It also put the system's robustness and imperceptibility to the test against various types of video attacks.
The Book Laboratory: Styoklyshki [Beads] Project of N. A. Ostrovsky Central City Library in Berezniki, Perm Region

The experience of working with kids and teenagers in local literary studies is discussed. To include younger users into collaborative creative activities, traditional library services and methods are used.
Review on Effectiveness Evaluation of Missile Weapon System

In order to evaluate and compare the advantages and disadvantages of missile weapon systems and assist commanders in making optimal decisions, quantitative scales must be used to measure the effectiveness of missile weapon systems.This paper introduces the concept of missile weapon system effectiveness, expounds the importance and necessity of effectiveness evaluation, summarizes the relevant models, common methods and development process of effectiveness evaluation, analyzes the problems faced by missile weapon system effectiveness evaluation, and looks forward to the development trend of this research field.
The Effectiveness of Distance Learning Media Based on Augmented Reality Technology on Covalent Bonding Material For Class X at SMAN 1 Dawarblandong

Abstract: The Effectiveness of Distance Learning Media Based on Augmented Reality Technology on Covalent Bonding Material For Class X at SMAN 1 Dawarblandong. The purpose of this research was to determine the effectiveness of learning media based on augmented reality technology in covalent bonding in terms of learning outcomes and student motivation in class X-IPA 1 SMAN 1 Dawarblandong. The research method used is One Group Pretest-Postest Design. The data obtained in this study obtained the following data: student learning outcomes have increased. This can be seen from the value of the pretest and posttest with the acquisition of N-Gain of 0.84 in the high category and 0.61 in the medium category. Meanwhile, student learning motivation obtained from the response questionnaire obtained an average result of 83.975 with the predicate very effective. This proves that teaching materials based on augmented reality technology in covalent bonding material are declared effective as a medium for learning chemistry Keywords: Augmented Reality, Covalent Bonding, Motivation to Learn.
Channel Boosting Feature Ensemble for Radar-based Object Detection.

Autonomous vehicles are conceived to provide safe and secure services by validating the safety standards as indicated by SOTIF-ISO/PAS-21448 (Safety of the intended functionality)11https://www.daimler.com/innovation/case/autonomous/safety-first-for-automated-driving-2.htm. Keeping in this context, the perception of the environment plays an instrumental role in conjunction with localization, planning and control modules. As a pivotal algorithm in the perception stack, object detection provides extensive insights into the autonomous vehicle's surroundings. Camera and Lidar are extensively utilized for object detection among different sensor modalities, but these exteroceptive sensors have limitations in resolution and adverse weather conditions. In this work, radar-based object detection is explored provides a counterpart sensor modality to be deployed and used in adverse weather conditions. The radar gives complex data; for this purpose, a channel boosting feature ensemble method with transformer encoder-decoder network is proposed. The object detection task using radar is formulated as a set prediction problem and evaluated on the publicly available dataset [1] in both good and good-bad weather conditions. The proposed method's efficacy is extensively evaluated using the COCO evaluation metric, and the best-proposed model surpasses its state-of-the-art counterpart method by 12.55% and 12.48% in both good and good-bad weather conditions.
Медиатизация коммуникативной среды образовательного процесса

In this article, the consequences of mediatization of the communicative environment of educational process in the transition to distance (online) learning are analyzed. The empirical basis is formed upon the results of a social research that was conducted by the author in one of Moscow’s universities during the period of restrictive measures due to the fight against the COVID-19 pandemic in the spring of 2020. It is shown that the communicative environment of traditional university education is not transferred to online “as is”. In the online environment, traditional educational practices and components of the learning process lose their efficiency and need adaptation. Replacement of personal (face-to-face) communication between lecturers and students by various forms of technically mediated (mediatized) communication (oral and written), together with current level of technological development and digital literacy, leads to reduction of presence of the lecturer (the teacher) in the educational process and becomes a factor of decrease in its efficiency. This result, however, is significantly due to the urgency of transition to distance learning, absence of necessary technological infrastructure and digital competencies for implementation of online learning, and absence of time for adaptation of educational programmes and staff training. But at the same time, the force majeure transition to distance learning has accelerated the development of the digital educational environment, promoted growth of digital literacy of teaching staff and enrichment of the learning process with various digital instruments and educational practices.
Demystifying the Role of Blockchain Technology in Healthcare and Transaction

In this chapter, blockchain technology and its applications in healthcare and transaction are studied, along with how certain features of this cutting-edge technology might disrupt established business practices. The authors have discovered several studies and open exploratory areas that will be valuable to both academics and practitioners. Recent developments in cryptocurrency systems like bitcoin have increased interest in building robust distributed networks. Various DLTs are presently involved in a furious battle to display their superior skills and how they can overcome the flaws of their rivals. There are two main approaches to the distributed ledger problem: one uses cryptographic hashes and the other uses an open, distributed peer-to-peer network. However, the usage of the system of data structure, error tolerance, and consensus mechanisms differs significantly. This distinction has an impact on the cost, security, latency, and efficiency of any DLT situation. This chapter is a detailed review of blockchain usage in healthcare and transaction.
Higher Vocational English Teaching Reform and Practical Exploration under the Background of MOOC

“MOOC” not only brings about reforms in educational methods, but also brings about an impact on educational concepts. Under background of MOOC, more and more English teachers in higher vocational colleges are beginning to get out of mindset, open up online and offline paths, and redesign English teaching process. This article mainly focuses on two aspects of the advantages of MOOC for English teaching in higher vocational education and “the reform strategy of higher vocational English teaching under background of MOOC. It is hoped that “MOOC”will be starting point to scientifically plan English reform of higher vocational The plan promotes return of higher vocational English reform from theory to practice and makes substantial progress.
Big Data Analysis: Innovation of College English Writing Teaching: A Quantitative Research on “One Million Essays on Same Topics” English Writing Activity

Guided by the College English Curriculum Requirements ( published by National Foreign Languages Teaching Advisory Board in the Ministry of Education),this the paper aims at exploring methods to improve college English writing teaching based on data analysis. This paper uses the most popular automated essay scoring system and sentence correcting platform in China to launch a case study. Authors of this paper made quantitative research and data analysis on essays submitted in “One Million Essays on Same Topics” English Writing Activity, then summarized students’ writing characteristics and their shortcomings. Finally, authors of this paper provided suggestions on effective data-driven precise teaching model to improve college English writing teaching.
SOSIALISASI PERAN RADIOGRAFER DALAM BIDANG KESEHATAN DI SMA BAGAN SIAPI-API

Radiographer is health is health workers that have given duty, authority and responsibility by authorized official to do radiography and imaging activities in health sevice unit. Radiographer is health workers tat give contribution in radiography and imaging field in an attempt to rise the quality of health service.Lack of public knowledge about radiographer role especially in Rokan Hilir district. There is no devotion to students or society about radiology and radiographer role until 2020. Added with Radiology study program STIKes Awal Bros Pekanbaru is the only one in Riau, Kepri and Jambi take campus attention to give devotion to students for introduce and give understanding about radiology and radiographer. The aim of this devotion is to explain about definition from radiology and radiographer. Explain about medical radiographer role.Thie devotion implemented in Rokan Hilir district. The socialization is done by teacher and students SMA Negeri 1 Bangko Bagan Siapi-api. This devotion is done with extension way. Giving instruction to students about radiographer definition, function and scope of radiology. Explain about definition and many kinds of radiology examination.Give leaflets about medical radiographer.The devotion activities has been done in SMA Negeri 1 Bangko Bagan Siapi-api. All teachers, students that follow this activities has understand about radiographer role. They also understand about radiographer and radiology definition. This activities should give  bigger chance to public. The devotion informer can socialization ith faster and wider
Neutrosophic Sets Integrated with Metaheuristic Algorithms: A survey

Neutrosophic set is a branch of neutrosophy concerned with nature, the genesis, and breadth of impartialities, and also their interaction with various mental spectra. Neutrosophic sets constitute relatively new expansions of intuitionistic fuzzy. In a short period of time, numerous researchers have accepted neutrosophic reasoning. Many researchers have linked neutrosophicscience and metaheuristics in various ways over the last ten years. Metaheuristic research has attracted a great attention throughout the literature, which covers methodologies, apps, comparative analysis; due to its higher intensities and fruitful implementations. Metaheuristic algorithms are used to introduce the best or the optimum solutions to a lot of optimization problems due to the behavior of these algorithms inspired by Nature and its ability to adapt to problems, as well as the possibility of integrating more than one algorithm to reach the best solutions. Based on the previous reason, many researchers used these algorithms with neutrosophic science to present many platforms in the recent years, which was the motivation to introduce this survey paper. This paper is introduced to cover the publications from 2010 to 2021 in order to draw a comprehensive pictureof metaheuristic research integrated with neutrosophic theory.