Reviewerly/exHarmony huggingface dataset:
Application of Block Chain &amp; Artificial Intelligence in E-commerce supply chain to reduce product counterfeiting &amp; increase transparency

Product counterfeiting is a major issue in today’s world. These days product counterfeiting leads to around 1.05 lac crore rupees in India per year. As per a report by business standard, if even 50% of product counterfeiting is stopped with authentication, monitored properly and governed, it can save 50,000 crore rupees per year in India itself, then think about whole world. This research paper is based on the use of block chain along with artificial intelligence to curb the problem of product counterfeiting and maintain the transparency. This research paper also demonstrates the use of blockchain using R studio as a platform. R is a programming language mostly for data analytics purposes. So, the implementation of blockchain in R can give a wide exposure to the data to be analyzed and suitable insights and forecasts can also be made. The research findings give a holistic picture of all the variables that affect the supply chain of E-commerce industry. This study helps the supplier side in curbing their loses and also the consumer side in receiving the genuine product that build trust among both the stakeholders
Audit Keamanan dan Manajemen Risiko pada e-Learning Universitas Sangga Buana

Universitas Sangga Buana is an educational institution that continues to develop thefollowing technological advances by creating an e-learning system for students to facilitatedistance learning. This system is relatively new and still being developed, allowing there are stillmany gaps that others can exploit, especially on the security side of the system. To reduce systemsecurity vulnerabilities and data loss risks, it is necessary to conduct an audit of the e-learningsystem at the Universitas Sangga Buana. The stages used to determine security systemvulnerabilities and risk management in e-learning systems use the NIST framework and theAcunetix application as a system security testing tool. The final result of the e-learning systemaudit is that the e-learning system of the University of Sangga Buana is at a reasonable level withno high system vulnerabilities found and well-implemented risk management.
Monadic Intuitionistic and Modal Logics Admitting Provability Interpretations

The G ödel translation T provides an embedding of the intuitionistic logic IPC into the modal logic Grz, which then embeds into the modal logic GL via the splitting translation S. Combined with Solovay's theorem that GL is the modal logic of the provability predicate of Peano Arithmetic PA, both IPC and Grz have arithmetical interpretations.When attempting to 'lift' these results to the monadic extensions MIPC, MGrz, and MGL of these logics, the same techniques no longer work.Following a conjecture made by Esakia, we add an appropriate version of Casari's formula to these monadic extensions (denoted by a ' +'), obtaining that the G ödel translation T embeds M + IPC into M + Grz and the splitting translation S embeds M + Grz into MGL.As proven by Japaridze, Solovay's result extends to the monadic system MGL, which leads us to an arithmetical interpretation of both M + IPC and M + Grz.
THEORETICAL ANALYSIS OF THE PROBLEM OF PROFESSIONAL ADAPTATION OF TEACHERS OF SECONDARY EDUCATION INSTITUTIONS

The article «Theoretical analysis of the problem of professional adaptation of secondary school teachers» is devoted to the theoretical substantiation of the adaptation of young teachers to the professional activity of secondary schools. The presented research uses a set of interrelated methods: theoretical (analysis of pedagogical, psychological literature and teaching materials to determine the real state of training of future secondary education teachers), empirical (questionnaires, surveys and interviews). allows to calculate and assess the level of socio-psychological adaptation of future teachers ZZSO.In the process, a set of research methods was used: theoretical: analysis of philosophical, managerial, psychological and pedagogical domestic and foreign pedagogical literature on the research topic to clarify the state of the problem; systematization, comparison, generalization and modeling of scientific and theoretical material for studying the essence and content of professional adaptation of teachers.&#x0D; The methodological and theoretical basis of the study are the leading provisions of pedagogy, psychology, philosophical concepts devoted to the study of socio-professional adaptation of young teachers); conceptual ideas for self-realization of the individual; provisions on activity - personal orientation of the pedagogical process; creating a comfortable environment; theoretical and practical developments on aspects of adaptation of young professionals. The method of analysis allowed to generalize the essence of the basic concepts: "adaptation", "professional adaptation", "maladaptation". Based on the analysis and synthesis of scientific and pedagogical literature, professional adaptation is mostly understood by managers as a one-sided process of mastering the existing requirements for professional activity (with adaptation to specific requirements of a particular school) and is not considered as a process of active introduction of new ideas. activities. As a result of such an approach, sufficient conditions are not created for a high level of activity, creativity of teachers, their self-expression in professional activities. Analyzing the content of primary adaptation as a whole, school principals do not clearly understand and comprehend the content of secondary adaptation of teachers (related to changes in the type of educational institution, changes in student assessment, introduction of new information and computer technologies, rather dynamic changes in mental development of children, crisis stages in the professional development and professional career of teachers themselves, as well as transformational processes in society).
COMPARATIVE ANALYSIS OF CRIME TYPE PREDICTION

Crime analysis and prediction is a logical approach for analysing and identifying different patterns, relationships and trends in crime. The system can predict the area which have high probability for crime occurrence and indicate crime prone areas. It will be useful for the law enforcement agencies to speed up the process of solving crimes with the increasing computerized systems and with the help of crime data analysts. Here we have an approach between computer science and criminal justice to develop a data mining procedure that can help solve crimes faster. Analysis of police data createawareness that lets officers track criminal activities, predict the incidents, effectively deploy resources and solve cases faster. In this paper crime analysis is done by k-means,Spectral clustering and Agglomerative clustering on the crime dataset.
Anonymous Access Monitoring of Indoor Areas

Video surveillance of public spaces is a feature of modern society that has expanded quite quickly and in a pervasive way during the last decades becoming a fundamental need for both individual and collective security. But, as the sophistication of this type of systems increases, the concern about threat to individuals’ right of privacy raises as well. Indeed, the video surveillance systems could breach personal privacy because location is clearly one of the most sensitive people information. Hence, preserving location privacy while achieving utility from it, is a challenging problem demanding the investigation of researchers. This paper tackles this non-trivial issue by designing a novel privacy-preserving architecture able to anonymously monitoring people access at the entrance of critical areas in an indoor space. At the same time our approach is able to provide full accountability in case of an accident or a legal requirement. Interestingly, our protocol is robust to server-side attacks and is efficient enough to be applied indoors through a set of IoT (Internet of Things) smart camera devices.
The Effect of Android Game Based Learning for Student Interest in Mathematics Learning

Nowadays technology is growing very rapidly. The existence of this technology development, helps a lot of people in carrying out their activities. There is one form of development technology that very influential in everyday life and mostly found in the community is an android smartphone. In this age, smartphones have become a lifestyle for the society. The development of smartphone technology has been perceived by all levels of society especially for students. Besides, being used in social media, smartphone purpose is also being used to play a game by students, both online and offline games. In the field of education, smartphones are still rarely used to support learning activities, especially in mathematics learning. This issue is happened because there are still many educators who are reluctant to switch from conventional learning methods to digital-based learning. Even though the interest of students in the smartphone technology especially game, is high enough. This research, intend to determind the effect of mathematics learning based on interactive android game to student’s study interest. This research use study literature method, that is consider relevant various research, then the researcher conclude it based on the various research. The result of this research is there is an influence of learning based on interactive android game to student’s interest. So, this learning based on android game can be used to increase student interest in mathematics.
Pedagogical Implications on Error Analysis in the High school

In senior high school English teaching, students make various errors in the process of learning English, and these errors are a way for learners to test their assumptions about the nature of the language they have learnt. Therefore, by analyzing students’ errors through error analysis, we can get feedback, effectively understand students’ learning condition, check the teaching effect, effectively improve the teaching method, and then reduce or avoid students making mistakes in English, so as to effectively improve the English writing level of Chinese high school students.
Representing ELMo embeddings as two-dimensional text online

We describe a new addition to the WebVectors toolkit which is used to serve word embedding models over the Web.The new ELMoViz module adds support for contextualized embedding architectures, in particular for ELMo models.The provided visualizations follow the metaphor of 'two-dimensional text' by showing lexical substitutes: words which are most semantically similar in context to the words of the input sentence.The system allows the user to change the ELMo layers from which token embeddings are inferred.It also conveys corpus information about the query words and their lexical substitutes (namely their frequency tiers and parts of speech).The module is well integrated into the rest of the We-bVectors toolkit, providing lexical hyperlinks to word representations in static embedding models.Two web services have already implemented the new functionality with pre-trained ELMo models for Russian, Norwegian and English.
Optimal workflow scheduling in cloud computing based on hybrid bacterial evolutionary and bees mating optimization algorithm

Distributed computing is the most recent developing pattern in disseminated processing that conveys equipment framework and programming applications as administrations. The clients can devour these administrations dependent on a SLA which characterizes their required QoS parameters. By using the cloud computing technique it is possible to reduce the investment on various resources like computer hardware and software. The application or processes that are hosted and executed using clouds consist of set of tasks and it is considered that this task will form the workflow. Therefore scheduling the task is considered as a major issue as resource usage has to be maximized without affecting the services that are facilitated by the cloud. In order to execute different virtual machine application of the tasks are assigned and it is termed as enterprise arranging. In the scheduling process the inter-dependent tasks are mapped and managed in the distributed resources. For additional improvement, this paper proposes a hybrid optimization algorithm for workflow scheduling (HOWS) in cloud environment. In the proposed algorithm the first contribution is the bees mating optimization (BMO) algorithm used to share physical infrastructure to enable multiple service providers to optimize scheduling. The second contribution in the proposed algorithm is the bacterial evolutionary algorithm used to flexible access of the resources in order to optimize the network resources. By combining the hybrid optimization algorithm provides the better improvement in terms of task scheduling and optimal resource allocation. The result and performance analysis shows that the proposed technique performs very efficient in terms of energy efficiency and scalability without compromising security. The performance is obtained using cloudSim tool
Technical Debt: A Clean Architecture Implementation

Technical Debt (TD) and Technical Debt Management (TDM) are terms that are receiving increasing attention from practitioners and researchers. They reflect a concern on how shortcuts taken during the software development process can incur negative impacts on software maintainability and how practitioners may use tools and techniques to mitigate the effects of the debt over time. A widely used tool to manage TD on an implementation level is SonarQube with the SQALE method, as it allows developers and managers to track debt over time. However, even SonarQube has its weaknesses since it only provides a set of architecture agnostic rules for TD, and the implementation of new rules can prove to be a challenging job. In this paper, we discuss how, during a real industrial project on a Brazilian software house, we developed a set of rules based on the Clean Architecture model, created a plug-in for SonarQube, and integrated it into our development cycle. At last, the preliminary results show that using a rigorous set of rules allows keeping track of TD on an implementation level.
Development Of A First-Person View-Based Korean Sign Language Education System Using VIVE Hand Tracking

In this study, using VIVE and Tracking, we developed a ‘first-person view-based Korean sign language education system’ that guides sign language handshapes using a 3D virtual hand from the user's point of view and then evaluates the accuracy of the handshapes that learners perform. The learning effects of a Korean sign language education system that guides sign language handshapes using 3D virtual hands in a virtual space and a system that only learns with a teacher's lecture video in a virtual space were compared and analyzed. The number of times the two groups of participants tried to make the sign language correctly was measured. Then, the measurement results were compared and analyzed and interviews also conducted. As a result of the experiment, the ‘first-person view-based Korean sign language education system’ demonstrated that some sign language handshapes, which are not easy for participants to make, were implemented faster and more accurately than traditional learning methods. Therefore, if this system is used, it is expected that sign language learners will be able to learn more intuitively through the first-person perspective. Furthermore, it is expected that learning effects can be improved through the ability of being able to judge whether users are making the correct shapes with their hands. In addition, since it is possible to evaluate the accuracy of the hand shapes, it is believed that single-person learning, which was not easy in the existing sign language education paradigm, will become possible. However, for the sign language examined in the experiment, some showed significant differences while others were less meaningful. These were analyzed because the difficulty of the learning contents used in the experiment was not high. In future research, in order to more accurately verify the effectiveness of the sign language education system using hand tracking and 3D virtual hand guidance, we intend to conduct an experiment implementing learning content with more complex sentences
Start-up failures due to Quality Failures

Software start-ups are fundamentally different from traditional software development firms and boutique software services enterprises of all sizes.They develop software products with strict time and resource constraints and are focused on beating competitors to the market.They fail fast and often pivot their business models several times in their lifetimes.Their approach to designing, developing, testing, and shipping software products differs vastly from the established software engineering principles that emerged during the field"s earlier decades.One such principle is Software Quality Assurance.Start-ups tend to do away with procedures that ensure that their products are of the utmost quality.Instead, they focus on shipping their products to market as fast as possible, testing these products vis-a-vis reallife customers and use-cases, and eventually improving these products, repeating the process several times over.We hypothesize that this reluctance to adhere to software quality assurance principles can have adverse effects on the health of start-ups or their products.This paper investigates this hypothesis through over 20 questions presented to CEOs, CTOs, Technical Leads, and Product Managers of several start-ups.These questions focus on start-ups" motivations, their levels of understanding and appreciation of software quality assurance principles, and the limitations they face due to time and resource constraints.Our research"s results indicate the surveyed start-ups" problems are partially due to the absence of robust software quality assurance practices within their processes.
YOLO NETWORK TRAINING FOR FACE RECOGNITION IN MEDICAL MASKS

The detection of face masks is a very important issue for the safety and prevention of Covid-19. In the medical field, the mask reduces the potential risk of infection from an infected person, regardless of whether they have symptoms or not. Thus, the detection of masks on the face becomes a very important and complex task. The efficiency of facial recognition systems can significantly deteriorate due to occlusions, such as medical masks, hats, facial hair, and sunglasses. Currently, there are a number of different methods for recognizing objects in an image. One of the most popular methods is convolutional neural networks and their modifications. This article provides a brief description of the YOLO network, an example of training that can detect faces with a mask and without a mask, and the results of the work. The recognition model has been trained on different object recognition pre-trained models with the same data and evaluated on multiple environments to achieve good accuracy for limited identities.
Use of mobile devices in medical education

Background: The evaluation in real-time allows the teacher to improve the deficiencies and propose immediate improvement actions that allow the student's correct acquisition of knowledge.&#x0D; Purpose: The objective was to implement in university students conduct real-time theoretical questionnaires in the classroom using mobile devices with real-time resolution and a later critical analysis of the results to improve the evaluation and learning process.&#x0D; Sample: A total of 300 university students belonging to a Medicine degree were analyzed in this study. All students have participated in this study voluntarily.&#x0D; Design and methods: A real-time questionnaire about Legal Medicine was conducted in the classroom using an online platform (“Live Interactive Audience Participation | Poll Everywhere” 2019). The students responded using Twitter. The students' different answers to the questionnaire's questions are visualized in real-time in the teaching classroom. A questionnaire with 13 items was developed to assess the students' opinions regarding this evaluation tool's use and capabilities.&#x0D; Results: Our results show that 86.5% of students considered and were very useful in using this teaching resource, which increased students' interest in the subject taught (75.3%). The use of real-time questionnaires in class showed a high degree of acceptance (77.4%) in the group of delighted students and only 37% in the group of students not very satisfied with the experience (P &lt;0.001). A 43.8% of the student considered that the use of digital evaluation should increase in the classroom.&#x0D; Conclusions: This digital evaluation tool is an appropriate didactic resource to develop in the classroom since it increases student motivation and promotes the students' natural and active participation.&#x0D;
The data management plan - the common thread through the project. DMP consulting at the University of Vienna

This article will use the example of the University of Vienna to show how DMP consulting can succeed and that all parties involved benefit from it.Data Management Plans (DMPs), which are increasingly required by research funders and describe the life cycle of data within a research project, are not only important for the funders, but also for the repository operators and, above all, for the researchers themselves.The funders hope that this will result in the highest possible re-use rate of the data they have paid for, the repository operators know through DMPs what they need to focus their repository on, how much data of what size and complexity should be stored, and for the researchers it is a self-designed guide through the project.They define responsibilities for data protection, backup, etc. and have to think about legal and ethical issues, licensing, data description, necessary technical implementations, archiving and storage options.If the questions are clarified in the DMP's, one also receives an overview of which data can be further used under which conditions.Optimally completed data management plans also make the data fit for further use in a Citizen Science project and possibly for further improvement.Data management plans are therefore useful even where they are not yet mandatory, because they structure the workflow and help to plan the necessary resources.Data management plans, which should be living documents, are also usefully linked to other services such as repositories, DOI allocation, ORCID, etc.In the best case, the DMP also shows that there are still no appropriate solutions for some requirements, for example for the long-term accessibility of databases.
KNOWLEDGE MANAGEMENT TECHNOLOGY USING SECI AND WIL TO IMPROVE PERFORMANCE OF IN-FORMATION TECHNOLOGY DIVISION IN PANGESTU JAYA LTD.

Information Technology Division is one of the divisions in Pangestu Jaya Ltd. which engaged in IT Department, where in this division there are several sub-divisions that are interrelated and have the duty and responsibility of each individual to improve services in The company. Turnover is one of the major obstacles in order to still be able to keep the knowledge technology in the company, because there are still many employees with outsourced status who often do turnover in IT division, so difficult to keep the knowledge. therefor need a knowledge management technology which is capable of storing, distributing knowledge in order to renew even while maintaining corporate knowledge. The system design of this research used SECI and WIL (Work Integrated Learning).