Reviewerly/exHarmony huggingface dataset:
Contents of mathematical tutorials in the context of PISA results − 2018

Problems of mathematical education of students need to be solved in view of the results of mathematical literacy in the international monitoring PISA-2018. The educational activity of modern students (better learn large, structured educational material rather than bulky textbooks; better perceive visual information; focus on the practical use of knowledge; focus on specific, not too dedicated; need feedback, work in groups, share experiences, etc.) should be taken into account in the content of teaching. The content of the textbook should have the following features: applied orientation (the training material should correspond to the stages of application of mathematics in practice; the study of mathematical fact begins with the analysis of the relevant example from the environment, practical situation or problems of practical content; then — its essence is explained and substantiated mathematical problems are solved, finally — it is applied in practice), consolidation of educational material (not to remove in the study time the study of similar and similar concepts, mutually reversed statements, operations; selection of typical configurations of drawings used in solving problems as the study of material; grouping problems in common ways; ideas concepts, properties, ways of solving problems); visualization of educational texts (support of educational material with new information technologies makes it possible to arouse interest in mathematics, activate educational and cognitive, research, project activities of students), integration of content (strengthening the connections between algebra and geometry, planimetry and stereometry, the interpenetration of geometric methods and images in algebra and, conversely, geometric interpretation of algebraic dependencies and analytic particularities; coordinate method, which allows to consider figures and numbers as interconnected models of knowledge and to establish pairwise correspondence between basic concepts of geometry and algebra), etc. Taking into account the above requirements and some ways of their implementation in the preparation of textbooks will help to improve the mathematical literacy of students.
ANALISIS DAN PERANCANGAN SISTEM INFORMASI PENGARSIPAN SURAT BERBASIS WEB PADA KANTOR LURAH DESA DAYAH TUHA

An archive is an important document that is saved with a purpose when it is needed again it is easy to find it. The archive plays an important role in Dayah Tuha Village's Lurah office, so it is highly hoped that the process of managing the archives is good, fast, and easy. If the files that are owned are not well managed it will impact the difficulty of finding the information and it can impede the next stage of work. Therefore, the archive must be managed with a good and correct management system. In this research, discusses the analysis and design of a web-based document, which is suitable for the needs of the office of Tuha Village. The design of this information system based on the design of systems that have been compiled include use case diagram, activity and sequence Diaram. Dayah Tuha Village's office is still using the manual way of managing the archives. So that by the existence of this system is expected to help the work in the head office of Dayah Tuha in terms of the management of archives.
Portrait Style Transfer with Generative Adversarial Networks

Portrait style transfer is a hot and practical direction for in-depth learning. As a deep learning model, Generative Adversarial Networks (GANs) have been widely used in image style conversion. We study Generative Adversarial Networks as a solution to the portrait style transfer problem. Here, we use GANs to recognize facial features. With large training in the conversion from plain to cosmetic drawings, this algorithm can make up the plain faces better intelligently. The experimental results provide the representation of facial image features by GANs and show the ability of character transformation and operation of portrait style.
Classifying of welding time series based on multi-scale time irreversibility analysis and extreme learning machine

In welding, previous research has proven that the behavior of its arc droplet is chaotic and fractal by the complex analysis of time series. In this study, the multi-scale time irreversibility (MSTI) method is used to analyze welding time series, and then used to classify the weld quality. By comparing the results of shuffled time series with original time series, it is confirmed that the time irreversibility is an intrinsic property of welding time series and it can extend over multiple scales. The superposition effect of multiple frequency components of welding time series results in enhances time irreversibility. The MSTI index (Pm%, Gm%) is used to quantify the time irreversibility, and has a capable of distinguishing different series. In the finally, the index (Pm%, Gm%) is combined with extreme learning machine (ELM) to classify the weld quality, and obtain good classification results.
String Reduced Dimensional Representation of Spatial Trajectory for Clustering

GPS devices generate huge number of spatial trajectories and understanding common patterns in these trajectories is an open problem.In this paper, Reduced String based Trajectory Clustering Algorithm (RSTCA) for clustering trajectories by transforming trajectories to a string-based representation is proposed.Trajectories are pre-processed and made into equal length by using the Douglas -Peucker algorithm.Spatial grid is generated to map the trajectories which convert trajectories from GPS based representation to string format.N-gram representation identifies sequential patterns in strings and increases the features of trajectories.Both string-based mapping and N-gram representation aid in clustering spatially close trajectories into the same cluster.Singular Value Decomposition (SVD) and t-Distributed Stochastic Neighbour Embedding (t-SNE) are applied on trajectories to reduce the dimensionality of trajectories.The reduced trajectories are clustered using hierarchical clustering by various linkage strategies.Performance analysis of RSTCA is done using Cophenetic Correlation Coefficient, Davies Bouldin Index and Dunn Index.Experimental results demonstrate that RSTCA can cluster trajectories efficiently.
An Employment of Neural Network Classifiers to evaluate the Performance of Color Feature Descriptors in an Image Retrieval System: An Experimental Survey

Content-based Image Retrieval (CBIR) is a system utilized to index and redeem images from a massive image repository, according to the user's preference.This paper focusses on an experimental analysis on varied color descriptors namely Color Moment, Color auto-Correlogram, Color Histogram, Color Coherence Vector and Dominant Color Descriptor utilized for color feature extraction in the two phases.In the first phase, Average Precision is computed for each technique one by one and in the second phase, a Cascade forward back propagation neural network (CFBPNN) is used in combination with each color descriptor to again calculate the performance of each technique.The classification accuracy of each color descriptor is computed by using both CFBPNN and Patternnet neural network and the results of these neural network classifiers are compared.The results of these analytical experimentations depict that a framework of Color auto-correlogram and CFBPNN outperforms the other color descriptors by obtaining average precision of 97%, 90.5% and 89.5% on Corel-1K, Corel-5K and Corel-10K benchmark datasets respectively.
A Cloud Solution for Securing Medical Image Storage

Cloud computing is an easy-to-use, affordable solution to manage and analyze medical data. Therefore, this paradigm has gained wide acceptance in the healthcare sector as a cost-efficient way for a successful Electronic Medical Records (EMR) implementation. Cloud technology is, however, subject to increasing criticism because of the numerous security vulnerabilities. In this regard, we propose a framework to protect confidential data through the development of new security measures, including compression, secret share scheme and XOR operation. The primary objective of the proposal is to achieve the right balance between security and usability. To this aim, we divide an image into several blocks and then encrypt each piece separately with different cryptographic keys. To enhance privacy and performance, we suggest DepSky architecture to keep data on various storage nodes. Simulation experiments have been conducted to prove the effectiveness of the proposed methodology.
Expert System of Initial Anamnesis Process of Menstrual Disorders using Certainty Factor Method

Anamnesis is a preliminary examination to obtain information about the patient's disease.This process is carried out by the doctor as part of the initial diagnosis of the patient's condition.The purpose of this research is to assist the history process in eliminating the diagnosis of possible diseases from experts by adopting their knowledge into the expert system.The method used in this study is the Certainty Factor method.Fifty test data collected to test this approach.The test results showed 44 data following expert opinion and obtained an accuracy rate of 88%.These results indicate that the expert system is suitable for the early history of menstrual disorders.
Methodological fundamentals of forming the cultural content of the variable component of profile technological education

The article presents methodological guidelines of forming the variable component of the content of profile technological education, in particular the training programs of courses by choice. The role of the teacher in this process is outlined. Competent, cultural and integration approaches to the development of training programs of integrated courses are substantiated, the criteria for selecting their content are revealed. The main requirement of a competence-based approach is the practical application by pupils acquired integrated knowledge, cross-cutting and subject skills, ways of project and technological activity in new situations, solving the real life problems by created products. The expediency of structuring the content on a cultural basis has been proved, taking into account the factors of successful implementation of the projects. The cultural approach gives an understanding of the content of modern technological education as a pedagogically adapted model of social experience of humanity in the context of the project and technological culture of production organization. The levels of integration of technological profile training – value semantic, content, operational-activity are determined. The value-semantic level of integration of education implies the filling of the content of technological education with human, national, regional, personal spiritual and value potential. The integrated content of the variable component of the specialized secondary technological education does not consider only some particular subject area, but integrates knowledge, provides the interconnection of the content of different educational branches and subjects for systematic and in-depth mastering of nationally, socially, professionally and personally important topics, which must be problematic. Integration of universal methods of project and technological activity organizes training, provides successful implementation of integrated content, formation of cross-cutting skills and key competences. The process of designing the integrated course training program within the content of the variable component of the profile technological education on the example of the author’s training program “Designing products in ethnic style” is outlined, which will help the teacher to develop independently the author’s program of the course by choice.
E-Learning (Edublogs) Social Media Based: its implementation in teaching learning at Islamic Senior High School Bangkalan

At present, the application of internet technology in the field of education is very much needed in order to improve the quality and equitable education services. One of them in improving the quality of education is from educators (teachers). The teacher has a very crucial role in the process of teaching and learning. Therefore, the teacher must be able to provide an appropriate method and method so that the classroom atmosphere in PBM becomes enjoyable. The specific purpose of this service is that they are able to understand and properly apply e-learning based learning media. The implementation is held for 2 (two) days, namely: first, the implementation of observation and the introduction process. Then the next day a workshop held on the application of e-learning based learning media. The result of this dedication is that teachers can apply e-learning based learning models in the teaching and learning process.
IMPLEMENTASI DAN ANALISIS CLOUD GAMING SKYEGRID PADA PERANGKAT ANDROID

Cloud computing is the transformation of information and communication technology from client or server-based computers. Cloud computing technology benefits users no longer need to invest heavily in software or maintenance software applications. So by developing the Cloud, there is a Cloud gaming which is a process to install a remote interactive game in the cloud and issued in the form of video to the user's device via the internet. In this journal, we need a cloud gaming application called Skyegrid. This study aims to implement cloud-based mobile gaming cloud implementation using an open-source server (Skyegrid) to find out Resources, Service Quality and Experience Quality in this study. In this study Skyegrid is used to discuss some popular games, namely games called Rainbow Six Siege and Monster Hunter World. The result of this study is that Skyegrid's cloud gaming mobile system is able to implement PC games that can be run on Android smartphones and reduce the use of CPU and RAM resources, and use low cost using skyegrid cloud gaming using personal computers that require greater costs.
Uji Model Keberhasilan Sistem Informasi: Media Penyimpanan Google Drive

The era of ICT-based information (information and communication technology), information becomes an absolute primary means for users decent individuals and organizations as a medium of exchange and interaction. Google Drive is one of the internet-based services application that allows users to make storage media as a resources. The destination of this research to calibration the IS Success Model of Google Drive as a storage medium among college students with the elements i.e. Information Quality, System Quality and Service Quality. The research method used a quantitative approach with questionnaires as a means of data collection. The number of samples counted by 77 respondents. The data analysis methods using structural equation modeling by Lisrel Version 8.72 through descriptive statistic analysis, test of quality instrument, goodness-of fit model, and hypotesis test. The findings represent that the IS Success Model prove significant influence on Satisfaction of college student through Information Quality and System Quality while Quality Service is not significant influence. Service Quality and System Quality are the most effective variables affecting Satisfaction of college student with correlation coefficient in the amount of 67,8 percent and 66,5 percent.
Message Based Key Distribution Technique for Establishing a Secure Communication Channel in IoT Networks

Internets of Things (IoT) are distinguished by different devices, which support the ability to provide innovative services in various applications.The main aspects of security which involves maintaining confidentiality and authentication of data, integrity within the IoT network, privacy and trust among IoT devices are important issues to be addressed.Conventional security policies cannot be used directly to IoT devices due to the limitation of memory and high power consumption factors.One of the security breaches in the intranet is lack of encryption due to the IoT devices infrastructure.The basic IoT devices are 8-bit, low-cost, limited memory and power consumption devices which limit the complex algorithm execution.The key distribution is another major challenge in IoT network.This paper proposes a solution to transmitting messages by adopting Random Number generation and distribution of session key for every message without any difficulty.It gives better result to resist from the brute force attack in a network.
Delivering a Secured Cloud Computing Architecture and Traditional IT Outsourcing Environment via Penetration Tools in Ghana

The decision to use either Cloud Computing (CC) applications or Traditional Information Technology Outsourcing (Traditional ITO) environments is a function of the security evaluations of these two options.Hackers are constantly nosing around websites and other computer networks for compromised computers that have some vulnerabilities to exploit them.Vulnerabilities in cloud computing and Traditional ITO environments are leading causes of recent data breaches.These breaches provide opportunities to hackers to attack and gain access to customer information such as credit cards and contact information, passwords, sending of malicious codes to website users or making users computer potential candidates of botnets and to hijack the sessions of authentic users to make unapproved purchases on their behalf.In this paper, security penetration tools have been employed to evaluate the security vulnerabilities of cloud-based solutions and Traditional ITO to discover possible vulnerabilities, their causes and mitigation strategies to securing web applications from the discovered vulnerabilities.Some web applications and a Traditional ITO network were ethically hacked to discover vulnerabilities in them.Analyses of the results obtained through the ZAP scan flagged Remote File Inclusion (RFI) alert were high priority alert.In all, RFI constitutes the most serious potential threat and it needs the fullest attention of CC service providers.Nmap disclosed opened ports in Traditional ITO Virtual Private Network which can make the server of the provider accessible to hackers leading to a considerable disclosure of information to unauthorized users.
Situational Modern Code Review Framework to Support Individual Sustainability of Software Engineers

Modern Code Review (MCR) is a socio-technical practice to improve source code quality and ensure successful software development.It involves the interaction of software engineers from different cultures and backgrounds.As a result, a variety of unknown situational factors arise that impact the individual sustainability of MCR team members and affect their productivity by causing mental distress, fear of unknown and varying situations.Therefore, the MCR team needs to be aware of the accurate situational factors, however, they are confronted with the issue of lack of competency in the identification of situational factors.This study aims to conduct the Delphi survey to investigate the optimal and well-balanced MCR-related situational factors.The conducted survey also aimed to recognize and prioritize the most influencing situational factors for MCR activities.The study findings reported 21 situational factors, 147 sub-factors, and 5 Categories.Based on the results of the Delphi survey the identified situational factors are transformed into the situational MCR framework.This study might be helpful to support the individual sustainability of the MCR team by making them aware of the situations that can occur and vary during the execution of the MCR process.This research might also help the MCR team to improve their productivity and sustain in the industry for longer.It can also support software researchers who want to contribute to situational software engineering from varying software engineering contexts.
Determination of Professional Awareness of a Future Specialist at the Professional Training Stage

This scientific article is devoted to the problem of searching the determinants of professional development of the individual at the stage of vocational training.The author pays special attention to the process of development of professional consciousness, substantiates his decisive role in the formation of the personality of the future specialist, because it is this process that determines the formation of individual style of human activity, the development of professional creativity and progressive views, the formation of interests, values, motives, reflections.The urgency of the problem of structuring the professional consciousness, determining its place and importance in the mechanism of professional development of the personality are emphasized.Other factors of professional development of the personality -professional-personal qualities and professional competence are established, and their interdependence is substantiated.On the basis of scientific analysis of the structure of professional consciousness and its constituent componentscognitive, reflective, axiological, motivational, affective blocks, the corresponding directions of development of professional consciousness and their indicators are determined: awareness of professional reality; becoming a professional "I"; conscious evaluation of oneself as a specialist; awareness of professional values; determination of conscious professional motives; conscious experience of professional emotions; conscious avoidance of professional stress and burnout.
DAO, Blockchain and Cryptography

In Classical Athens, as well as in our modern digital era, governance has been achieved through tokens. Tokens enabled voting on projects, representation, and belonging. The Distributed Autonomous Organisation (DAO) launched on the basis of cryptocurrency and blockchain technology was conceived as a form of algorithmic governance with applications in the organisation of companies. The visionaries of the DAO envisaged, among other things, a new form of sociality, which would be transparent and fair and based on a decentralised, unstoppable, public blockchain. These hopes were dashed when the DAO was exploited and drained of millions of dollars' worth of tokens within days after launching. The conversation published in the present article is conceived as an interdisciplinary discussion about the phenomenon of the Decentralised Autonomous Organisation and its impact on perceptions of sociality. Topics include the idea of the DAO as an algorithmic authority, the lessons learned when the project failed, the revolutionary beginnings of cryptocurrency technology and its potential in voting technologies, as well as the changing notions of cryptography in light of cryptocurrency technologies.
Enhanced Quantum Inspired Grey Wolf Optimizer for Feature Selection

Grey wolf optimizer (GWO) is a nature inspired optimization algorithm.It can be used to solve both minimization and maximization problems.The binary version of GWO (BGWO) uses binary values for wolves' positions rather than probabilistic values in the original GWO.Integrating BGWO with quantum inspired operations produce a novel enhanced quantum inspired binary grey wolf algorithm (EQI-BGWO).In this paper we used feature selection as an optimization problem to evaluate the performance of our proposed algorithm EQI-BGWO.Our method was evaluated against BGWO method by comparing the fitness value, number of eliminated features and global optima iteration number.it showed a better accuracy and eliminates higher number of features with good performance.Results show that the average error rate enhanced from 0.09 to 0.06 and from 0.53 to 0.52 and from 0.26 to 0.23 for zoo, Lymphography and diabetes dataset respectively using EQI-BGWO, Where the average number of eliminated features was reduced from 6.6 to 6.7 for zoo dataset and from 7.3 to 7.1 for Lymphography dataset and from 2.9 to 3.2 for diabetes dataset.