Reviewerly/exHarmony huggingface dataset:
Viral Marketing – Strategies For Business Promotion

Viral advertising utilizes electronic interchanges to trigger brand messages all through a far reaching system of purchasers. The procedure is regularly depicted as an arbitrary ground-up wonder over which advertisers have little control. In any case, an examination of fruitful viral showcasing cases distinguishes various procedures supporting this disordered wonder, giving knowledge into how advertisers can utilize it to position their brands, change their picture, and increment selection rates. With the development and advancement of the Web, electronic associate - to – peer referrals have turned into a critical wonder, and advertisers have attempted to abuse their potential through viral showcasing effort. In the meantime, spam and email based infections have jumbled electronic correspondences, making viral showcasing effort tricky and testing to convey. In this paper, the scientist attempted to distinguish the cause of viral showcasing, viral advertising in India, its significance, its components, focal points and inconveniences of viral showcasing and viral promoting methodologies to advance the business.
PENGEMBANGAN MODEL MULTIPLE INTELLIGENCES BASED LEARNING UNTUK PENGUATAN GERAKAN LITERASI SEKOLAH DASAR KELAS TINGGI

The school literacy movement is a program of character building which is expected to be able to implement literary school ecosystems and to strengthen character education. One learning model that can be used as a reinforcement of school literacy movement is the Multiple Intelligences Based Learning Model. This model can give students freedom to be creative and utilize their multiple intelligences to develop their literacy skills. These multiple intelligences are the basis for developing multiple intelligences based learning models in strengthening the school literacy movement. This research was aimed to (1) describe the needs of a multiple intelligence-based learning model development in strengthening higher grade elementary school literation movement, (2) develop a multiple intelligence-based learning model in strengthening higher grade elementary school literation movement, (3) examine the effectiveness of a multiple intelligence-based learning model application in strengthening higher grade elementary school literation movement. This was a Research and Development (R&amp;D) study developed by Borg and Gall and simplified by Sukmadinata. Data gathering technique was conducted using an expert validation for product validation and a test for field experiment, while data analysis technique was conducted using a descriptive quantitative statistics technique by using an SPSS 17. The validator assessment results towards a multiple intelligence-based learning model in strengthening higher grade elementary school literation movement obtained 79.29% percentage that was in valid criteria. Research result of effectiveness test showed that 95% of students had been completed in school literation movement strengthening activity. The research results conducted could be concluded that a multiple intelligence-based learning model was effective to use in strengthening higher grade elementary school literation movement strengthening.
The Architecture of Knowledge from the Knowledge of Architecture

At the verge of the crisis of production and knowledge, the discourse of university has shown how a modernist theoretical insight upon the nature of subjectivity could have been integrated with a social concern.It is this concern that also signifies the evolution of modern analysis throughout the inquiry of the socio-cultural and political collectivity.The discourse of university in the reinterpretation of the modernist production and knowledge, in that sense, not only gives way to understand the societal volatility because of the problems of disintegration but also reveals what is the real behind those problems.Although their coexisting circumstances do not directly correspond to May 1968 events, the engaged conjecture of the Free University of Berlin and Eishin Campus in Japan are two very distinct campus projects that can be analyzed with such an inquiry throughout the discourse of university.They are not only significant to take a traditional or cultural mode of making into account of practicing, as either modernist or vernacular, but also consequential for integrating the social concern of a collective demand that having a very active role in the design progress of those projects.It is such that, the projects give great clues about the re-interpretation of modern mode of making and generation of knowledge under the light of the transformation of subjectivity, as the discourse of university.Accordingly, the novel interpretation of the spatial production that coexists with the changing social and environmental conditions is necessary for the assessment of the information age.
KEY PEDAGOGICAL PRINCIPLES OF IT INTEGRATION IN HIGHER EDUCATION

The article highlights general pedagogical principles focused on training specialists in a higher educational institution in the context of the use of information technology. The authors define didactic principles which determine education content, analyse their practical implementation. The study argues that the effectiveness of the use of information technology is ensured by the scientifically based combination of traditional and innovative teaching methods. It confirms the idea that there is an inextricable link between the use of pedagogical and modern information technologies in education. Since knowledge, unlike traditional skills rapidly becomes obsolete, the main task in education is to develop the ability to learn and think critically. A fundamentally new approach to learning, which is called “constructivist didactics”, was revealed. The essence of this direction in didactics is that knowledge cannot be transferred from teacher to student and cannot be found in a book. The authors proved that it can be developed in the course of the relevant activity, on the basis of one’s own interests, abilities, and on the peculiarities of one’s intellect. Special attention is paid to the various forms of students’ productive activity and their self-organization in the learning process. The conditions of efficient development of critical thinking were determined, namely: the students should be prepared for the topic of discussion well in advance; have sufficient level of maturity; are independent in acquiring knowledge, be able to formulate a problem and find their own arguments.
The Model of the Sociocultural Educational Environment of the Classical University

The article deals with the results of a pilot research of the analysis of the socio-cultural educational environment of the Kuban State University, Krasnodar.The authors pay attention to the problems of students' expectations from the university, describe Soft skills, forms and methods of their development through building the model of the sociocultural educational environment of a classical university.
Linn dress: enabling a dynamically adjustable neckline.

We present the design and prototype of the Linn Dress, a transforming dress that allows its wearer to dynamically reveal and conceal areas of skin, as they feel comfortable and appropriate for different contexts. Electrochromic displays are employed as the elements enabling the garment's dynamic transparency. The Linn Dress is designed for office workers with a lively lifestyle, who shift directly from the work environment to social evening events. The dress presents professional working attire, and when transformed to reveal exciting open cuts and patterns, a cocktail dress.
Spatio-Temporal Associative Mining for Earthquake Data Distribution in Indonesia

Indonesia is a country that has the highest seismically activity in the world. This country has really high earthquake frequency because of it traversed by three plate meeting plate and located in Ring of Fire area. The shaking events from an earthquake are very strong and propagate in all directions, capable of destroying even the strongest civilian buildings, so there is no doubt that there are many victims of human lives. The other facts, earthquake in Indonesia have seismic relation between the provinces. In this paper, we present a new earthquake Spatio-temporal mapping system based on the association confidence value from the result of associative mining process on earthquake data distribution in Indonesia. The system proposed three main functions which are (1) Data Acquisition which taken from four data provider, then preprocess and combine it become one, (2) Associative Mining process to get the rule of association earthquake between provinces in Indonesia, and (3) Earthquake Association Spatio-Temporal Model from the highest confidence value and Visualization. We use data from several earthquake data providers from 1900 until 2018. To perform our proposed Spatio-temporal earthquake association mapping system, we divided the data to become a 5-year discrete partition. After that, we mining the rule and get the highest confidence value from each period. This confidence value is used for modeling and visualization of our Spatio-temporal mapping system. As a result of this study, we manage to generate earthquake association risk mapping from 13 provinces that had earthquake connectivity between each other. The provinces are Aceh, Sumatera Utara, Bengkulu, East Java, Bali, NTB, NTT, Maluku, North Maluku, Gorontalo, North Sulawesi, Papua dan West Papua.
Knowledge Graph Aided Similarity Evaluation for Scientific Workflow

This paper proposes a new scientific workflow similarity evaluation method. This method combines knowledge graph and the domain knowledge of scientific workflow entities. The input, output and process between them are treated separately. Different weights are identified to them. The whole similarity of two scientific workflows is calculated by the similarity of nodes and weights.
Flight Path Planning of Robot for Environmental Measurement Considering Accuracy Assurance

Every day we are seeing an increasing number of robots being employed in our day-to-day lives. They are working in factories, cleaning our houses and may soon be chauffeuring us around in vehicles. The affordability of drones too has come down and now it is conceivable for most anyone to own a sophisticated unmanned aerial vehicle (UAV). While fun to fly, these devices also represent powerful new tools for several industries. Anytime an aerial view is needed for a planning, surveillance or surveying, for example, a UAV can be deployed. Further still, equipping these vehicles with an array of sensors, for climate research or mapping, increases their capability even more. This gives companies, governments or researchers a cheap and safe way to collect vast amounts of data and complete tasks in remote or dangerous areas that were once impossible to reach. One area UAVs are proving to be particularly useful is infrastructure inspection. In countries all over the world large scale infrastructure projects like dams and bridges are ageing and in need of upkeep. Identifying which ones and exactly where they are in need of patching is a huge undertaking. Not only can this work be dangerous, requiring trained inspectors to climb these megaprojects, it is incredibly time consuming and costly. Enter the UAVs. With a fleet of specially equipped UAVs and a small team piloting them and interpreting the data they bring back the speed and safety of this work increases exponentially. The promise of UAVs to overturn the infrastructure inspection process is enticing, but there remain several obstacles to overcome. One is achieving the fine level of control and positioning required to navigate the robots around 3D structures for inspection. One can imagine that piloting a small UAV underneath a huge highway bridge without missing a single small crack is quite difficult, especially when the operators are safely on the ground hundreds of meters away. To do this knowing exactly where the vehicle is in space becomes a critical variable. The job can be made even easier if a flight plan based on set waypoints can be pre-programmed and followed autonomously by the UAV. It is exactly this problem that Dr Kae Doki from the Department of Electrical Engineering at Aichi Institute of Technology, and collaborators are focused on solving.
Theoretical and Experimental Studies on 3D Vibration Measurement Based on Displacement-sensitive Fringe Pattern

Abstract：A novel method for the measurement of structural three-dimensional (3D) vibration based on a displacement-sensitive fringe pattern (DSFP) and a high speed camera is proposed to overcome the simultaneous measurement problem in structural 3D vibration using monocular vision.Based on the established model of the proposed monocular vision measurement system, the measurement principle for structural 3D vibration is illustrated systematically.The relationships between the real 3D displacement and the 3D dynamics parameters obtained from the recorded DSFP image sequence is established.The formulas for calculating each dimensional displacement is also derived.The correctness of the displacement measurement principle and algorithm is verified by using the co-simulation model of structural 3D motion and monocular vision system.The performance and its influencing factors of the measurement system are evaluated by simulation and experiment.The experimental results for known structural 3D displacement and the contrast test results with the 3D acceleration sensor demonstrates the effectiveness of the proposed DSFP and vision based system in structural 3D displacement measurement.
A case base reasoning approach for a capacitated arc routing problem

The routing problem derived from a road network monitoring service is studied in this paper. The problem is formulated as a capacitated arc routing problem (CARP). A case base reasoning approach with “self-learning” functionality is developed through the analysis and usage of historical data, simulation data, as well as previous experience and knowledge. A so-called self-learning algorithm (SLA) is proposed to have the following three modules. 1) Case management module; 2) Case retrieval module; and 3) Case reuse module. The computational experiments demonstrate the effectiveness of the algorithm.
Using Quantum Computers to Study Random Close Packing of Granular Discs

We reformulate the problem of granular random close packing of 2D discs as a Quadratic Unconstrained Binary Optimization in order to utilize the D-Wave 2000Q quantum annealing computer. The solution is a set of ground states corresponding to jammed configurations in which no single particle can be moved without creating a non-zero potential. The problem is adapted to the quantum computer by discretizing space and mapping each point onto physical quantum-bits (qubits). An objective function is derived that defines the system energy for arbitrary particle locations, subject to constraints biasing solutions toward a pre-determined number of particles. Uniquely, the quantum computer samples and returns minimum values of this function finding low energy states, a subset of which are physically realizable solutions we seek. While quantum computing's technological infancy restricts our study to proofof-concept, our work still shows promise for efficient analysis of complex granular problems.
Formation Of Intercultural Competencies Through The World Without Borders Website

At the present time, due to increasing of migration process, the problem of education and upbringing of migrant children is becoming increasingly important and significant. The influx of large numbers of migrants into the regions of Russia has led to problems in the education of their children, their adaptation to the local environment, assimilation of the traditions, norms and values of the host community. School-age children from migrant families are a special group with their own mentality and culture. It is important for the teacher not only to plan, and to carry out the process of adaptation of children during educational activity, but also to adapt oneself, to develop in oneself an ethnocultural identity. Bicultural personality, as investigations show, unlike with a marginal person, has such qualities as an open disposition, positive self-esteem, high degree of self-realization, ethnocultural competence. Ethnocultural competence relieves a person from negative preconceived notions and prejudices. It implies the freedom of moral choice identified by the internalized humanitarian and social knowledge, based on the understanding the national culture as a value with a high spiritual potential. The study has explored the possibilities of using the website for the development of cultural identity and ethnic tolerance of future teachers. The importance of the study is that its results can be used in the development of socio-adaptation programs and courses for the development of cultural identity and ethnic tolerance of future teachers.
A Study on the Recognition and Needs of Specialized High School Graduates for the Implementation of Labor Market

이 연구의 목적은 특성화고 졸업생의 노동시장 이행을 위해 산업체 인사 담당자와 특성화고 고졸 재직자를 대상으로 졸업생들의 업무 수행 실태, 특성화고 운영 개선 방안 등을 파악하고, 특성화고의 발전 방향에 관한 인식 및 요구를 분석하는데 있다. 이를 위하여 노동시장 이행 이해관계자인 특성화고 졸업생 채용 기업의 인사 담당자(이하 산업체 인사 담당자) 9명과 농업 ·공업 ·상업 계열별로 특성화고 고졸 재직자(이하 고졸 재직자) 5명을 대상으로 FGI(focus group interview, 이하 FGI)를 실시하였다. 연구의 주요 결과는 다음과 같다. 첫째, 산업체 인사 담당자와 고졸 재직자 모두 교과과정 내에서 보통교과와 직업기초능력을 강조하였으며 산업체 인사 담당자는 이와 더불어 인성교육의 필요성을 강조하였다. 둘째, 산업체 인사 담당자는 고졸 재직자의 업무 수행 역량에 만족하였고, 졸업생이 적절한 직무 수행 능력을 갖춘다면 채용할 의사가 있다고 인식하였다. 셋째, 고졸 재직자들은 노동시장 이행에 있어서 교육환경이 많이 개선되었지만, 전문성 있는 전문교과 교사들의 충원과 체계적인 교육 인프라 개선이 요구된다고 하였다. 넷째, 효과적인 취업 및 진로지도를 위해서는 학교 차원에서의 지원이 중요하며 산업체 인사 담당자와 고졸 재직자 모두 특성화고에서의 학교 차원의 취업 및 진로지도의 중요성을 언급하였다. 다섯째, 산업체 인사 담당자와 고졸 재직자 모두 특성화고의 특성을 반영한 인프라 개선 및 이를 지원하기 위한 제도적인 개선이 필요함을 언급하였다. 이러한 결과를 바탕으로 향후 특성화고 졸업생의 노동시장 이행에 대한 실천적 제언 및 후속 연구를 위한 제언을 제시하였다.The purpose of this study was to present operational improvement measures and draw practical and academic implications by conducting recognition and demand analysis related to the implementation of labor market by graduates of specialized high schools. We conducted FGI (Focus Group Interview) with industry personnel and graduates of specialized high schools. In summary, the results of this study were as follows. First, both industry personnel and specialized high school graduates noticed the need for personality education along with the emphasis on general subjects and job basic skills within the curriculum. Second, industry personnel were satisfied with the job competencies of specialized high school graduates and recognized that graduates would be willing to hire if they had adequate job performance. Third, the specialized high school graduates said that although the educational environment was improved in the labor market implementation, the recruitment of professional major subject teachers and the systematic educational infrastructure were still required. Fourth, both industry personnel and specialized high school graduates mentioned the importance of school-level employment and career guidance in specialized high schools. Fifth, both industry personnel and specialized high school graduates mentioned improve infrastructure reflecting the characteristics of specialized high schools and institutional improvements to support them. On the basis of these results, this study presented practical suggestions for future specialized high school graduates labor market implementation and suggestions for further research.
Formation Of Teacher's Creative Competencies For Innovative Activity

Teachers today work in conditions of rapidly changing education paradigms. This situation requires the teacher to have formed creative competencies for perception, understanding and implementation of innovations in the educational process inspired by new concepts and paradigms of modern education. The teacher who has formed creative competencies from the point of view of modern pedagogical theory is characterized by the following qualities and features: 1) a high level of performance; 2) the desire for a high-quality final result; 3) stress tolerance, ability to overcome difficulties; 4) creative attitude to business, work; 5) the pursuit of professional excellence; 6) the ability to make responsible, sometimes risky decisions; 7) sociability, ability to cooperate, collaborate, create; 8) the ability to quickly learn a new business; 9) the ability to self-education, self-realization, self-development, etc. The teacher’s ability to innovate is formed in the education system on the basis of educational, professional, social experience, as well as on the basis of self-education and self-development. Therefore, for the formation of creative competencies the future teacher needs to undergo specially organized training. To form creative competencies of future teachers for innovative activity, we implemented a special course ‘Management of pedagogical creativity and innovation in the pedagogical system’ aimed at introducing future teachers to the phenomenon of pedagogical creativity and the mechanism for the transformation of pedagogical creativity into innovation; at mastering by graduates of pedagogical universities new organizational forms, technologies and institutional mechanisms to improve the quality of education at all levels.
Outlier Detection on Vehicle Trajectories in Santiago, Chile using Unsupervised Deep Learning

Currently, a large amount of data is generated in the telemetry sector of vehicles in cities due to the continuous monitoring of vehicle trajectories through multiple sensors. Some trajectories generated by the sensors turn out not to correspond to the reality due to artefacts such as buildings, bridges or sensor failures, and where due to their large volume a manual verification of their correctness is not feasible. In this work, we propose the use of deep neural network models without supervision based on stacked autoencoders to detect atypical trajectories in vehicles within Santiago, Chile. The results show that the proposed model shows that it is able to detect that the atypical vehicle paths detected are at least 85% correct when considering the validation of a human expert. As future work, we propose to incorporate the use of LSTM networks in our model.
Analysis of Random Number Generators Based on Fibonacci-Galois Ring Oscillators

This paper presents the analysis of random number generators(RNGs) based on regular sampling of irregular waveform method where the irregular signal is obtained from the oscillations of combined Fibonacci and Galois ring oscillators. As the proposed random number generator is made up of logic gates only, it is implemented on a FPGA (field-programmable gate array). The regular waveform generated by the digital clock manager of the FPGA is used for sampling the irregular signal and the resulting bit stream is uploaded to a computer where it is subjected to standard statistical test. The polynomials defining the Fibonacci and Galois ring oscillators are varied to assess the relationship between the polynomial and the randomness of the output bit stream. It is demonstrated that for both polynomial functions, by combining enough number of oscillator structures, the output bit streams from each RNG satisfy standard statistical tests without post processing. To the best of our knowledge, this paper presents the first comparative study on the impact of polynomials on random number generators based on Fibonacci and Galois ring oscillators.