Reviewerly/exHarmony huggingface dataset:
META-ANALISIS PENGARUH PENGGUNAAN MIND MAPPING TERHADAP HASIL BELAJAR IPS SD

The purpose of this research was to re-analyze the e ffect of before and after the use of mapping in improving the learning outcomes of school studies (IPS) . The study used a meta-analysis method. This research begins by formulating research topics, then developed again into the formulation of research problems, and at the final stage is to search relevant articles for data collection. Data was obtained by searching online journals through google Scholar with search keywords mind mapping, social studies learning outcomes, and elementary studies learning. As many as 20 articles were found, but only 11 articles were relevant to this study. The data obtained is processed again using qua n tative methods. Based on the results of the analysis of mapping proven to be able to improve student learning outcomes with the lowest to highest average of 12.95 - 93.05% with the average final result 40.17%.
REVIEW PAPER ON TOUCH SCREEN BASED ADVANCED MENU DISPLAY AND FOOD ORDERING SYSTEM FOR RESTAURANTS

There is no need for a person to take the order from the customer's table. The menu will be displayed automatically on the table and the customer can directly order the menu with the help of a touchscreen device which is fitted at the table. The web page is created for the food ordering and it contains all the menu details with pictures of each item . The ordered details are wirelessly sent to cashier and then cashier will send order details to the chef. The food name will be displayed in GLCD display . The system has made the owner of the restaurant to get a lot of profit and also a user friendly. Furthermore, the management also becomes more effective and efficient.
Sustainable Thinking: Ensuring Your Library’s Future in an Uncertain World

"Sustainable Thinking: Ensuring Your Library’s Future in an Uncertain World." Journal of Web Librarianship, 13(4), pp. 329–330
A case study of flipped learning applied to a college-level course on the culture of family living and its effect

본 연구에서는 사범대 가정교육과 학생들을 대상으로 가정생활문화 수업에서 학습자중심의 교수학습방법인 플립러닝(flipped learning)을 적용한 역진행 수업(Inverted Class)을 진행하고 그 효과를 살펴보았다. 플립러닝 수업은 3단계(Pre class/In class/After class)로 설계하였으며, 수업 효과를 알아보기 위해 가정교육과 40명의 대학생을 대상으로 플립러닝 수업 만족도 설문조사를 실시하였고, 매주 수업 종료 후 학생들이 작성한 WorkSheet와 성찰일지를 살펴보았다. 학생들은 일방적 강의에서 탈피하여 질문과 토론 등 어울림 수업을 할 수 있어서 좋았으며, 선행학습 또는 개별적으로 학습할 때 병행학습이 가능하여 학습효과가 높아 플립러닝 수업에 대한 만족도가 높은 것으로 나타났다. 특히, Visual Thinking을 활용한 수업은 흥미로웠으며, 학습내용을 이해하고 정리(요약)하는데 유용하여 다른 전공분야 학습에 적용시킬 의지도 높게 나타났다. 이와 같이 플립러닝을 적용한 수업을 가정생활문화 수업에 활용해 보는 것은 학습자 중심의 교수학습 방법으로 긍정적인 학습 효과를 가진 것으로 나타나, 4차 산업혁명 시대의 미래인재양성을 위한 효과적인 학습자 중심의 교수학습 방법으로 앞으로의 중등교육에도 활용될 것으로 기대한다.This study was to execute the flipped learning as a learner-centered teaching and learning method in the course on family living culture for home economics education students in a college of education, and to investigate its effect. Flipped learning was designed in three stages(Pre class/In class/After class), and a questionnaire survey was distributed to 40 students to measure the class satisfaction. In addition, class worksheets and reflection journals that students wrote after every class were analyzed. Students positively evaluated flipped learning because they could take non-competition class with questions and discussion, etc. escaping from a one-way lecture. This study found that the level of class satisfaction was high due to high learning effect as the dual learning was available in case of prerequisite learning or individual learning. In particular, the class using Visual Thinking was considered interesting and useful in understanding and summarizing the learning contents. This study has shown that the willingness to take other flipped learning class in their major was high. To conclude, this study has found positive learning effects in the learner-centered teaching and learning method or flipped learning for the course concerning family living culture. This researcher expects that flipped learning may be utilized in the secondary education in the future as an effective learner-centered teaching and learning method for the purpose of fostering talents for the future in the era of the fourth industrial revolution.
REFERENCE BUSINESS MODEL FOR UNIVERSITY-INDUSTRY COLLABORATION BASED ON EXPERIENCES FROM THE LAST DECADE

REFERENCE BUSINESS MODEL FOR UNIVERSITY-INDUSTRY COLLABORATION BASED ON EXPERIENCES FROM THE LAST DECADE
Cloud Security Distributary Set (CSDS)

Security challenges are the most important obstacles for the advancement of IT-based on-demand services and cloud computing as an emerging technology. In this paper, a structural policy management engine has been introduced to enhance the reliability of managing different policies in clouds and to provide standard as well as dedicated security levels (rings) based on the capabilities of the cloud provider and the requirements of cloud customers. Cloud security ontology (CSON) is an object-oriented framework defined to manage and enable appropriate communication between the potential security terms of cloud service providers. CSON uses two super classes to establish appropriate mapping between the requirements of cloud customers and the capabilities of the service provider.
Cloud Data Center Based Dynamic Optimizing Replica Migration

Cloud Storage Providers (CSPs) over topographically scattered data stores furnishing a few storage classes with various costs. An imperative issue looked by application providers is the means by which to misuse value contrasts crosswise over data stores to limit the financial cost of utilizations that incorporate problem area objects that are acquired much of the time and spot objects that are regularly becoming to far less. This financial cost comprises of reproduction, creation, storage, Put, Get, and potential migration costs. To advance such costs, we initially propose the ideal arrangement that uses dynamic and direct programming methods with the supposition that the workload on objects is known ahead of time. We likewise star represents a lightweight heuristic arrangement, motivated from a rough algorithm for the Set Covering Problem, which does not make any presumption on the object workload. This arrangement together decides object imitations area, object reproductions migration times, and redirection of Get (read) solicitations to object copies with the goal that the fiscal cost of data storage administration is improved while the client saw idleness is fulfilled.
Group Action Equivariance and Generalized Convolution in Multi-layer Neural Networks

Convolutional neural networks have achieved great success in speech, image, and video signal processing tasks in recent years. There have been several attempts to justify the convolutional architecture and to generalize the convolution operation for treatment of other data types such as graphs and manifolds. Based on group representation theory and noncommutative harmonic analysis, it has recently been shown that the so-called group equivariance requirement of a feed-forward neural network necessitates the convolutional architectures. In this paper, based on the familiar concepts of linear time-invariant systems, we develop an elementary proof of the same result. The nonlinear activation function, being a necessary components of practical deep neural networks, has been glossed over in previous analyses of the connection between equivariance and convolution. We identify sufficient conditions for the non-linear activation functions to preserve equivariance, and hence the necessity of the group convolution structure. Our analysis method is simple and intuitive, and holds the potential to be applied to more challenging scenarios such as non-transitive domains and multiple simultaneous equivariances.
Information reconciliation for continuous variable QKD systems based on permutation modulation

This paper is focused on the problem of Information Reconciliation (IR) for continuous variable Quantum Key Distribution (QKD). The main problem is quantization and assignment of labels to the samples of the Gaussian variables observed at Alice and Bob. Trouble is that most of the samples, assuming that the Gaussian variable is zero mean which is de-facto the case, tend to have small magnitudes and are easily disturbed by noise. Transmission over longer and longer distances increase the losses corresponding to a lower effective Signal to Noise Ratio (SNR) exasperating the problem. In previous work [1], [2] we approach the IR problem in a fundamentally different way than how it is addressed in published literature. At very low SNR, one can focus exclusively on the sign of the Gaussian samples at Alice and Bob and perform Reverse Reconciliation (RR) on sign of the samples given their quantized magnitudes as side information Alice and Bob share in the open. In this paper we demonstrate that the weighted sum capacity of the Binary Symmetric Channels (BSCs) derived from magnitude dependent sign error probabilities of the Gaussian samples shared between Alice and Bob approaches the mutual information between Alice and Bob at very low SNR regimes. Thus, when SNR is very low, one could just as well ignore any common randomness that may be obtained from magnitude of the Gaussian samples and focus exclusively on their sign. The caveat is, to get close to this mutual information, Unequal Error Protection (UEP) must be employed based on magnitude of the observed samples at Bob in RR.
Trends of open education system development

We studied the trends in the development of an open education system. The relevance of the research topic is due to the need to develop an open education system in the context of improving Internet technologies, as well as from the standpoint of changing pedagogical views on learning technologies, taking into account new forms of socialization of young people in the Internet space. We examine the development trends of the open education system in the context of changing the elements of the pedagogical paradigm in the conditions of the information society and the dynamics of the development of information technologies themselves. Both contexts have a significant impact on the development of an open education system and allow us to come to the formulation of its new development tendencies: personification of educational environments according to professionally-oriented needs; development of methods for the natural retention of students in the environment of educational content; integration of different environments for learning purposes; inclusion in the content of the tasks of the formation of new competencies of specialists in high-tech industries for the innovation economy; orientation on innovative joint project activities. The studied development trends of the open education system of the educational process are considered as characteristic trends in the emergence of new opportunities in the field of education at the present stage of development of society.
VODKA: Virtualization Obfuscation Using Dynamic Key Approach

The virtualization obfuscation technique is known to possess excellent security among software protection techniques. However, research has shown that virtualization obfuscation techniques can be analyzed by automated analysis tools because the deobfuscate virtualization obfuscation methodology is fixed. In this situation, additional protection techniques of the virtualization structure have been studied to supplement the protection strength of virtualization obfuscation. However, most of the proposed protection schemes require a special assumption or significantly increase the overhead of the program to be protected. In this paper, we propose a delayed analysis method for a lightweight virtualization structure that does not require a strong assumption. Hence, we propose a new virtual code protection scheme combining an anti-analysis technique and dynamic key, and explain its mechanism. This causes correspondence ambiguity between the virtual code and the handler code, thus causing analysis delay. In addition, we show the result of debugging or dynamic instrumentation experiment when the additional anti-analysis technique is applied.
Burst-survive Temporal Matching Kernel with Fibonacci Periods

In this paper we present a novel approach to improve temporal matching kernel (TMK) for video retrieval tasks. TMK has the ability to align videos during retrieval, but provides little to none retrieval performance improvement over baseline methods. We discovered that TMK cannot discriminate between a true match case in which two videos have long, consecutive segments of similar frames and a false match case in which two videos contain non-consecutive segments of randomly similar frames. Our proposed burst-survive temporal matching kernel adopts a novel shuffle strategy to rule out false match cases, with the assistance of multiple periods selected from Fibonacci series. As a result, we achieved significant performance improvement on the EVVE dataset.
Recursive Tube-Partitioning Algorithm for a Class Imbalance Problem

A standard classifier acquired from a machine learning literature aims to categorize an instance into a well-defined class having comparable number of instances while the data from real world problems tend to be imbalance. One way to deal with this imbalance problem is to modify the standard classification algorithm to capture minority instances and majority instances simultaneously. This work modifies the recursive partitioning algorithm based on a set of tubes, called the tube-tree algorithm. A tube-tree is a collection of tubes building from the combination of the input attributes where an internal node contains distinct class tubes corresponding to their respective classes. A tube composes of three components: a core vector, a tube length, and a tube radius built for each class regardless of its size which is suitable for imbalance. The forty six experiments are derived from the KEEL repository to compare the performance of the tube-tree with the support vector machine, the decision tree from C4.5, the decision tree from C5.0, and the naive Bayes classifier. The results of a tube-tree show the improvement over other classifiers of recall, and F1-measure except precision via the Wilcoxon signed rank test.
The Image of the Teacher and the Dynamics of its Changes in the Views of Younger Students

The article is devoted to an actual pedagogical problem - the study of the personality of the teacher, whose relations with pupils in the classroom and outside directly affect the whole educational process, determine the success of the teacher and pupils. The article considers the submission of younger schoolchildren about the image of their teacher, changes in the attitude of children towards him and the reasons for these changes. The practical experience of implementing a personality-oriented approach to the training of first-grade pupils are analyzed.
The Culture of Biomedicine: A Significant barrier to General Practitioners access to and communication of Complementary Medicine information

Learning technologies are becoming universal in health professional education. Despite the potential philosophical and ideological dissonance between CM and technology, the actual use of learning technologies by CM students is currently unknown. As such, there is a need to explore the prevalence and nature of use of educational technologies by CM students.A cross-sectional survey examining students’ behaviours and attitudes to learning technologies at the Endeavour College of Natural Health. Survey items focused on student demographic and educational background, and their use of technology. Chi-square tests were used to examine bivariate relationships and the characteristics of technology use based on respondents’ age were determined using a backward stepwise logistic regression.There were 576 responses to the survey. The majority of respondents reported having a mobile phone (96.2%) or a laptop (85.9%), rather than a desktop computer (24.7%). Of those with phones, 92% had a smart phone. Almost all students access their emails every day (84%). Older students (>35 years old) were found to be more likely to have a desktop computer (OR 1.9) and access LinkedIn (OR 2.95), but were less likely to use an eBook reader (OR 2.63) or Facebook (OR 0.21).CM educational institutions need to adapt in relation to teaching and learning due to the changing use of and impact of technologies by more non- traditional students. This study points to the need for further research to explore the values, attitudes and use of technology by faculty in complementary medicine institutions.
Pedagogical Conditions for the Development of Engineering Knowledge in Modern General Education

This article addresses the issue of introducing engineering knowledge bases into general educational practice for the successful self-determination of schoolchildren and the formation of their respective competencies. Today, an engineer is a person who designs our modern life in many of its forms. Since progress does not stand still, it is in its professional activities that it is often faced with the need to constantly evolve and master ever newer software and hardware. To solve such non-standard tasks, it needs not only to possess technical knowledge and ability to self-improvement, but also to have engineering thinking. As a result of advances in computer technology and the digitalization of our society, computers have become better people to cope with linear and patterned tasks. It created great competition in the labor market among professions, whose work is based on a clear algorithm of actions, and also caused the need to improve the level of training of an engineer.
Search Strategies for Finding Reports of Research

The purpose of this study was to test various search strategies for locating reports of research in the extant literature. Implications from the findings of this study are generalized into recommendations for how academic librarians can apply their professional skill sets to aid students whether undergraduate, graduate, profession or doctoral to effectively find reports of research. More specifically, the concept of “research hooks” is presented as a way for librarians to help students craft more effective database search strategies. Research hooks are complementary words to leverage database searching and identify reports of research in the literature. This recommended search strategy presents an opportunity for librarians to play an important role and assist students with constructing effective search strategies
EFFECT OF CONSTRAINING AND STIMULATING FACTORS ON THE SUSTAINABLE DEVELOPMENT OF THE INFORMATION SPHERE OF UKRAINE

The article is focused on modern aspects of the development of the information sphere of Ukraine taking into consideration influence of constraining and stimulating factors. Thus, authors investigated the essence of those factors, some actual trends of it’s recent definition and applied socio-economic outcomes for state regulation. Consequently, a research methodology model was elaborated grounded on matrix form assessment of expert qualitative considerations towards analyzing finite set of factors.
A Novel Automated Financial Transaction System Using Natural Language Processing

This paper proposes an automated financial transaction system (AFTS) that accepts a natural language transaction from a user in a query-response model that will be automatically converted to corresponding journal and ledger entries. This model uses the POS tags assigned to each token in a transaction to determine the name of account associated with the transaction and insert them in semantic table. The Journal and ledger entries will be produced from the semantic table. The type of transaction means debit or credit detection is dependent on relationship attributes in the semantic table. The proposed system generates journal and ledger entries from natural language transaction text in automated way. The proposed model uses a well-organized database to store keywords that helps to determine the account name and the type of transaction in time of semantic analysis.
Intercultural Education:An Approach Beyond Formal Learning

The presence of many cultures in the same society has been a constant in the History of Humanity, but its increase has become so pronounced in the last quarter of a century that it has aroused the interest of many researches from different perspectives. This cultural diversity has brought with it an increase in antidemocratic attitudes based on the promotion of immoral values such as intolerance, lack of respect or racist attitudes. From Education, various approaches have been adopted in order to put an end to these stances and with the aim of instilling in students the democratic values gathered in Human Rights. Have these approaches reached their objectives? The article includes the contributions of different authors who analyse some of these approaches, and it proposes the Intercultural Education and its competence as the optimal methodology to instil respect and cooperation in students. This should not only appear in the School-based Education Project but in every subject. As an example of that, the study suggests one proposal based on this methodology for English as a Foreign Language classes. Thanks to this Intercultural Education, students will have the tools to respect people who belong to another culture, race or religion, and above all, value them and live with them in harmony.
Medical Assistant Chat-Bot for Health Care Application

IoT revolution is re-designing modern health care with high technological, economic, and social prospects. Artificial intelligence (AI) aims to substitute human cognitive functions. It gives a paradigm shift to healthcare, powered by increasing availability of healthcare data and rapid progress of analytics techniques. The internet of things has lots of applications in healthcare, from remote monitoring to smart sensors and medical device integration. It has the ability to not only keep patients safe and healthy but to improve how physicians deliver care as well. Healthcare IoT can also boost patient engagement and satisfaction by allowing patients to spend more time interacting with their doctors. With the combination of both IoT &amp; AI technologies, it can apply chatbots for medical assistance in healthcare. An IoT based monitoring system &amp; AI based analytics system with an interactive chat-robots is the more outstanding application in healthcare. The Medical Assistant recognizes the user voice input and converts the speech into text. Here we concentrate on the different type of fevers, like chickenpox, malaria, septicemia, viral fever etc. Each fever has different symptoms .we finalize the fever by using symptoms. After that text mining, those phrases would be split as a noun and medical terms. From term analysis, the assistant will answer the query from users. It also analyzes the sensor data (body temp, heartbeat) from the cloud and expresses the user health condition.