Reviewerly/exHarmony huggingface dataset:
Using Kinect v2 Combined with Unity3D to Design an Agility Training Game

In this study, we used Kinect v2 technology along with a skeleton tracking technology to create a training system for students with an agility impairment.Through this system, training can be conducted through exercise games without using a playground.We designed a track and simulated real-world obstacles by using animated games.A single case research method was used to conduct the experiment.Three elementary school children were recruited as participants.Data showed that the time taken to complete the exercises decreased among all the three participants.Social validity results showed the parents and teachers considered the video game useful and it helped their children increase agility effectively.
Psychological Peculiarities Of Formation Of University Teacher’s Professional Subculture

The aim of this paper is to study the phenomenon of subculture, its psychological characteristics, which are the markers of allocation of professional subculture.We proved that in the conditions of social challenges, the issue of education of professional subcultures is extremely important.The university teacher's subculture, acting as the basic subsystem of professional culture, is revealed to allow the subject of professional activity, to realize its role, place in the professional community, as well as to create conditions for orientation in a complex and controversial social world.The university teacher's subculture does not function as an autonomous, independent or "protest" social phenomenon.The results of empirical research of psychological features of formation of professional subculture of the teacher of higher education institution are presented.Empirically, the groups of qualitative characteristics used by respondents in describing the image of a university teacher, which are the basis of their recognition outside professional activity, are identified.The first group of characteristics, represented by a higher quantitative value, is appearance, external image; the second group of characteristics is behavior and character; the third group of characteristics is speech and communication; the fourth group of characteristics is personal qualities and properties.It is proved that in the collective consciousness of society there are quite stable features, implicit representations and images, on the basis of which (without objective facts), people can fairly accurately identify the teacher of the University.
Design and Prototyping of a Smart University Campus

The authors propose a framework to support the “smart planning” of a university environment, intended as a “smart campus.” The main goal is to improve the management, storage, and mining of information coming from the university areas and main players. The platform allows for interaction with the main players of the system, generating and displaying useful data in real time for a better user experience. The proposed framework provides also a chat assistant able to respond to user requests in real time. This will not only improve the communication between university environment and students, but it allows one to investigate on their habits and needs. Moreover, information collected from the sensors may be used to automatically identify possible anomalies in the available spaces of the campus, facilitating this way the planning actions necessary to solve them.
Identification of Linear Time Invariant Systems Using FMCW Signals and Stretch Processing Receivers

The paper deals with the identification of linear time invariant (LTI) systems by a special observer. An observer emitting an frequency modulated continuous wave (FMCW) signal and having a stretch processor as receiver will be considered for system identification. A thorough derivation of the gathered baseband signal for arbitrary LTI systems will be given. It is shown, that the received signal is approximately given by the transfer function of the LTI system over the frequency sweep of the FMCW signal. The proof relies on an infinite large time-bandwidth product of the transmit signal, such that errors remain in practical applications with a finite time-bandwidth product. Monte–Carlo simulations are conducted to verify the approximation and to quantify its accuracy and remaining errors. The findings are important for e.g. calibration or derivation of a device model in FMCW radar applications.
Study of Energy Efficient Algorithms for Cloud Computing based on Virtual Machine Migration Techniques

Green cloud is a catchphrase in today’s IT industry and hence energy efficiency in cloud computing is one of the most significant parameters to follow nowadays to evaluate the efficiency of the cloud service. It is a driving force for adaptability of a cloud computing service in recent era. For a highly commercial service like cloud, maintaining the QoS parameters and keeping the service availability and service quality highly optimized to get the competitive advantage, cloud data centers are almost available on a 24x7 basis ; which in turn is a reson for high power consumption. So it is very much necessary to maintain a balance between power and quality of the service. One feasible solution for achieving energy efficiency is Virtual Machine migration technique in real time or when they are in turned off condition. This paper discusses about several VM Migration techniques and analyses their perspectives.
Crowd Counting Via Residual Building Block Convolutional Neural Network

We present a new method called residual building block convolutional neural network (RBB-CNN) for generating high-quality density maps and count estimation by applying stacked residual building blocks. The specific deploy of convolution layers in building blocks are inspired by the work of VGG16. The RBB-CNN is an easy-trained end-to-end model and allows arbitrary-size input because of its pure convolutional structure. To verify the validation of the residual building block, an ablation on ShanghaiTech Part-A is implemented. Meanwhile, we demonstrate the performance of RBB-CNN on three crowd counting datasets, i.e., ShanghaiTech, UCSD and MALL. With a wide range from dense to sparse density, our model achieves the state-of-the-art performance on all of the above datasets.
Classification Analysis Using C4.5 Algorithm To Predict The Level of Graduation of Nurul Falah Pekanbaru High School Students

School as one of the processes for implementing formal education is required to carry out the learning process optimally to produce quality students. Regarding the research process carried out to predict the graduation rate of SMA Nurul Falah students by using the decision tree method. The data used in this study are student data using the criteria for student names, majors, average report cards from semester one (I), two (II), three (III), four (IV), five (V), and the average value of the National Standard School Examination (USBN). The data is then managed using Rapidminer 5.3 software to make it easier to predict student graduation rates. The application of data mining is used to predict the graduation rate by using the decision tree method and C4.5 algorithm as a supporter as well as to find out information on the graduation rate of Nurul Falah High School students. This study aims to predict student graduation rates in order to get useful information and the school can make policies in the coming year.
POTENSI TEKNIS - EKONOMIS DAUR ULANG AIR LIMBAH INDUSTRI TEKSTIL MENGGUNAKAN APLIKASI ARANG AKTIF

Abstract.Growth Textile industry from year to year demands high creativity both design and color. The process production of textile industry especially dyeing can not separated from the use of clean water and high wastewater pollutant produced. With Zero Water Discharge principle, the industry is expected to reduce the amount of waste discharged into the environment. There are many water, and wastewater recycling technology processes. However, in Indonesia conventional wastewater processing is still widely encountered, limited to aerobic and anaerobic active sludge processes, chemical coagulation - flocculation processes, as well as activated carbon - filtration processes. This study examined the process of wastewater recycling in the management of bio-chemical waste and using activated carbon aplication for post treatment. This recycling process could improve process efficiency and saved production costs. Carbon active process decreased COD contamination up to 96%, with contact time 20 minutes. The study and research of potential wastewater recycling on conventional bio-chemical-carbon active processing expected to be an inspiration for industries, and the public to do waste water recycling.
“Creativity as the National Environment: Media and Social Activity.” IV International Scientific Conference. Saint Petersburg, July 2–4, 2018

Conference summary. This summary discusses the main issues of the proceedings of the IV International Scientific Conference “Creativity as the National Environment: Media and Social Activity,” which was held from July 2 to July 4, 2018 in Saint Petersburg. The conference was organized by the Department of Philosophy of the Humanities Faculty of the Saint Petersburg State Economic University, the Russian Philosophical Society, the Society of Russian Philosophy at the Ukrainian Philosophical Foundation, and the Department of Philosophy of the Moscow State Institute of International Relations (MGIMO). Being united by interest in the research on social activity in the media space and the national environment of creativity, 63 scholars from Russia, Ukraine, Slovakia and Hungary took part in the conference. The summary considers the ideas discussed at two plenary sessions and at the following sections of the conference: “Metaphysical foundations of the creative process,” “Semantic element of artistic and aesthetic creativity,” “Creativity of a social subject in the field of media space.” The proceedings of the conference contain the results of research carried out in the field of the philosophy of creativity and related research areas, including social philosophy, sociology, cultural studies, political science, journalism, linguistics.
Meningkatkan Kemampuan Siswa dalam Membaca Teks dengan Menggunakan Metode Reading Aloud di Kelas III SDN. No. 028/XI Tanjung Tahun 2017/2018

This study aims to improve the ability of students to read texts by using aloud reading methods in class III SDN. No. 028 / XI Tanjung in 2017/2018. The research conducted was classroom action research conducted at SDN. No. 028/XI Tanjung. This research was conducted from July to November 2017. The study involved 15 third grade students. Classroom action research was conducted in two cycles (Cycle I and Cycle II) and each cycle consisted of two meetings with four activities namely planning, implementation, observation, and reflection. Data was collected by test and observation techniques. Furthermore, the data is processed and analyzed using a simple statistical test. The results of the study show that the use of reading aloud methods can improve students' ability to read texts in grade III SDN. No. 028/XI Tanjung in 2017/2018 which can be seen from the increase in learning activities and improvement in learning outcomes. Student learning activities are getting better. The average score obtained by students also increased from 56.50 (pre-action) to 65.00 (cycle I) and 74.50 (cycle II). In addition, student learning completeness also increased from 33.33% (pre-action) to 60.00% (cycle I) and 86.67% (cycle II). Thus, the reading aloud method can be used as a method to improve students' ability to read texts.
Technology in the classroom: using graphics tablets for ESP lessons in agrarian and technical universities

The article is devoted to the aspects of using of graphics tablets on ESP lessons (English for specific purpose) by students of agrarian and technical specialties. The main prerequisites for the implementation of interactive teaching methods are determined, as well as the expediency of using information and communication technology (ICT) in order to prepare a competitive specialist that is able to use various language tools in a concrete communicative situation for the interaction among cultures. The necessity of developing new approaches to the organization of the educational process of learning English as a language for specific purpose, as well as its improvement and modernization, is considered. The importance of ICT implementation into the educational process and its significance for raising students’ learning and cognitive activity and motivation are highlighted and clarified.
Analysis and Recurrent Computation of MBF of the Maximum Types

This manuscript is a continuation of the research of monotone Boolean functions (MBF), using the MBF partition into types.An interesting connection is observed between the intersection of the groups of MBF stabilizers of n-1 rank and the number of isomorphic functions of the nth rank.The number of MBFs of the nth rank obtained from the MBF pairs of n-1 rank is computed.The examples of recursive construction of the MBF of the nth rank are shown.The partitioning of the MBF of maximal types into classes is given.The number of classes of functions of the nth rank is computed.A new classification of monotone Boolean function of maximal types into schemes has been developed.Such schemes are given for 3-7 ranks of the MBF.The dependencies between the maximal types of MBF of the nth rank and the n-1 rank are found, which makes it possible to reduce the MBF enumeration by constructing the equivalence classes of the nth rank from the equivalence classes of n-1 rank.The proposed methods are convenient for analyzing large MBF ranks.
Sources of noble metals (Au, Pt, Pd) in the North Caucasus

Research subject. To date, two different-age regional sources of noble metals have been identified in the North Caucasus: 1) Caledonian, which includes ultrabasites of the Front Range (Au, Pt, Pd) and 2) Hercynian, which features copper-pyrite (Au) and black-shale deposits (Au, Pt, Pd). Noble metals in these sources form large areal accumulations and ore anomalies, thus presenting a great research interest. Materials and methods . This paper reports the results of a long-term geological fieldwork, which consisted in a detailed geological and mineralogical mapping of the Devonian shale and volcanic rocks, as well as of the Ordovician ultrabasites, in the North Caucasus. During this work, maps, diagrams and sections of ore mineralization sites were complied, and collection of lithogeochemical, ore and groove samples was conducted. Laboratory studies included the examination of the obtained samples using geochemical, petrographic, mineragraphic and physico-mineralogical methods. Results . The main sources of Au, Pt and Pd, as well as the genetic types of their deposits were established. Four different-age geochemical anomalies (fields) with a constant total Au, Pt and Pd content of over than 1 g/t were identified. Conclusion . Large-scale Au, Pt and Pd anomalies in the North Caucasus have been discovered, which form a new North Caucasian province of noble metals.
An Landmark Evaluation Algorithm Based on Router Identification and Delay Measurement

City-level landmarks serve as an important foundation for achieving city-level and higher-precision IP geolocation. On the basis of the feature that router host names in network-developed areas often imply geographical location information, this paper proposes a city-level landmark evaluation algorithm based on router identification. Firstly, router host name matching rules are formulated by using plenty of network topology information obtained through probing. Secondly, the matching rules are used to extract router host names; the geographical locations corresponding to routers are queried through the established geographical location dictionary; and the nearest router that can obtain a city-level location in the probing path is reserved. Finally, candidate landmarks are evaluated based on the rule that the physical distance between network entities is less than the delay conversion distance. The experimental results show that the proposed algorithm can effectively evaluate the reliability of landmarks: among the experimental results on 8000 network landmarks in 4 cities in the United States, compared with the typical database query-based landmark obtaining, the city-level accuracy rates of landmarks are increased by 4.4%, 6.85%, 4.35% and 7.05% respectively.
Statistical tree-based feature vector for content-based image retrieval

The efficiency of any content-based image retrieval system depends on the extracted feature vectors of individual images stored in the database. Generation of a compact feature vector with good discriminative power is a real challenge in the image retrieval system. This paper presents the experimentation carried out to generate compact feature vectors for a colour image retrieval system based on image content. It has two stages of operation. In first stage the energy compaction property of image transforms is used whereas in the second stage, the statistical tree approach is used for feature vector generation. Performance of image retrieval is tested using image feature database as per various performance evaluation parameters such as precision recall crossover point (PRCP) along with newly proposed conflicting string of images (CSI). With different colour spaces, image transforms and statistical measures, proposed approach achieves the reduction in the feature vector size with better discriminative power.
SOCIO-PHILOSOPHICAL “DRAMATURGY” FASHION SHOWS

Shows of new collections of clothes have long been not only an integral partof the fashion industry, but also important socio-cultural events - as artistic acts with a specific social orientation. These acts always have signs of performativity and are implemented in a suitably organized space. This allows them to be seen as theatrical performances: with the stage, actors, directing, set design and, of course, with the audience. Communications that arise within these performances often go beyond them, and influence various cultural processes and the formation of specific social relations. Considering the ability of such events to reflect some features of modern society and, at the same time, influence their formation, the studies of this phenomenon within the framework of the subject of social philosophy, which studies the essence and forms of social reality, are relevant.The purpose of this study is a socio-philosophical analysis of theatricality offashion shows in the context of sociocommunicative manifestations of culture and social temporality. The methodological strategy for achieving this purpose is the concept of theatricality of the sociocommunicative manifestations of culture. This concept implies an understanding that theatricality arises only when there is an act of communication between people (that is, when there is an “actor” and a “public”).Conversely, communicative acts acquire the features of theatricality whenever there is a need to improve the effectiveness of communication. This approach (which is the scientific novelty of the research) allowed notonly to establish that theatricality was always inherent in the fashion collections, but also to reveal the tendencies to the emergence of new forms of presentation.The main objectives of such shows are: improving the efficiency of communication between designers and viewers, as potential consumers of the products offered; expansion of the communicative space of the fashion industry, which is caused not only by commercial considerations, but by understanding the role of fashion in socio-cultural processes.Socio-philosophical understanding of the theatricality of fashion shows, asseparate events/performances, show a tendency to implement in them a social theme with the display of current issues that arise before modern society. Comparison of the dynamics of seasonal changes in fashion with the dynamics of changes in society gives reason to talk about the temporality of “dramaturgy” in the “theaters” of fashion and social being.
Research of the Inquiry-Based Course Supported by Mobile Technology

In recent years, the inquiry-based teaching method has been gradually accepted by most educators, who believe that it provides more opportunities for the cultivation of students' scientific reasoning ability. With the development of science and technology, mobile technology has infiltrated into education. In this paper we discusses how we apply the inquiry-based teaching method in the course of "Exploration of Physical Phenomena" for undergraduates in Tongji University supported by mobile technology. The results show that this new teaching mode has a significant effect on the improvement of scientific reasoning ability compared with traditional teaching mode and brings a new experience to students.
Enhancing the Discovery of Tabletop Games

Collections of three-dimensional materials may not be discoverable to library users if they lack adequate metadata. Discovery of these collections may be enhanced through the application of relevant cataloging standards and controlled vocabularies. This paper outlines how librarians at the University of North Texas Libraries used these strategies to increase access to a large collection of tabletop games.
A Survival Certification Model Based on Active Learning over Medical Insurance Data

In China, Survival Certification (SC) is a work carried out for the implementation of Social Insurance (SI) policies, mainly for retirees. If a retiree is dead but his family has not notified the SI institution, then the SI institution will continue to issue pensions to the retiree. This will lead to the loss of pensions. The purpose of SC is to block the "black hole" of pension loss. However, currently, SC work mainly relies on manual services, which leads to two problems. First, due to the large number of retirees, the implementation of SC usually occupies a large amount of manpower. Secondly, at present, SC work requires all retirees to cooperate with the work of local SI institutions, while some retirees have problems with inconvenient movement or distant distances. These phenomena will lead to an increase of social costs and a waste of social resources. Thus, in this paper, a SC model based on active learning is proposed, which helps staff to narrow the scope of attention. First, we extract features from medical insurance data and analyze their effectiveness. Then, we study the effects of kinds of feature selection functions and classifiers on the SC model. The experimental results show that the model can effectively predict death and can greatly reduce the range of high-risk populations.
A Pragmatic Study on the Conversational Functions of Internet Catchwords

In recent years, Internet catchwords have been widely used as a new form of language in daily communication. The paper makes an analysis of the functions of Internet catchwords in the process of conversation from the perspective of pragmatics. It is found that when using Internet catchwords according to the five kinds of interpersonal relationship and the content of conversation, people violate the cooperative principle to make conversational implicature so as to strengthen or shorten the pragmatic distance between the conversation makers, guarantee the smooth ongoing of the conversation and maintain a harmonious interpersonal relationship. The study may help people to have a better understanding of the function of Internet catchwords in the process of conversation.