Reviewerly/exHarmony huggingface dataset:
Students' Motivation To Study

Higher Education is an important part of the reproduction of the human capital. There is a clear tendency to decrease the quality of higher education in contemporary Russia. On the one hand, this process has the objective reasons related to the difficulties of education reform and the reduction of its funding. On the other hand, there is the reduction of personal students learning motivation which makes the formation of a universal basis for their future professional activity and further development very difficult. The study has investigated the system of motives that determine students’ attitude towards their educational duties and the factors affecting the formation of these motives. Our investigation has revealed the main student’s motives. They are the communication motives, that is, the desire to expand the circle of friends, the social motives, which mean getting a higher status in the society and the pragmatic motives dealing with getting a high salary. Educational and professional motivations of the students were not as pronounced as those listed above. The main factors affecting enhancing students’ leaning motivation and reproduction of their capital are students’ confidence that knowledge gained at university will help them to achieve success in their professional activity and the desire to work hereinafter on the received specialty at the university. The study has elucidated that the future professionals need not only specialized knowledge in their field, but they also need some universal methods by which they are able to develop themselves throughout subsequent labor activity.
Two-Step Filtering for Rules without Overlapping Conditions

A rule-based system is used in artificial intelligence applications which extract information from data with relatively simple rules. As the rule-based system does not require a learning phase, it has the advantage that it operates immediately when the system is installed. Especially, a rule matching requires a complex process. The previous rule matching algorithm achieves the high performance when the rules have many overlapping conditions. This paper describes an indexing method for reducing the rule retrieval time when the conditions in rules are not overlapped. The proposed method generates a multilevel indexing tree using different values at each level. The number of sensing types in the conditions is used at the second level and the number of ranges of each sensing value is used at the third level. The experimental results show that the proposed method can achieve both the fast search and the high accuracy of the search result at the same time. Its searching time is about twice faster than that of PHREAK method.
Security Safety and Trust Management (SSTM' 19)

The following topics are dealt with: security of data; cloud computing; business data processing; Internet of Things; data analysis; groupware; information retrieval; Internet; natural language processing; data protection.
Neuroevolution of Multimodal Ms. Pac-Man Controllers Under Partially Observable Conditions

Ms. Pac-Man is a well-known video game used extensively in AI research. Past research has focused on the standard, fully observable version of Ms. Pac-Man. Recently, a partially observable variant of the game has been used in the Ms. Pac-Man Vs. Ghost Team Competition at the Computational Intelligence and Games (CIG) conference. Restricting Ms. Pac-Man’s view makes the game more challenging. Ms. Pac-Man can only see down halls within her direct line of sight. The approach to this domain presented in this paper extends an earlier approach using MM-NEAT, an algorithm for evolving modular neural networks. Experiments using several forms of evolved and human-specified modularity are presented. The best evolved agent uses a human-specified task division with output modules for different situations: no ghosts, edible ghosts, and threat ghosts. This approach placed first at the Ms. Pac-Man Vs. Ghost Team Competition at CIG 2018 against seven other competitors with an average score of 7736.63.
Micro-grid Optimization Scheduling Based on Improved BBO Algorithm

The micro-grid system consisting of photovoltaic, wind turbines, diesel generators and micro gas turbines is studied, and a micro grid optimization model based on economic and environmental objectives is established. A biogeography-based optimization algorithm based on quantum optimization is proposed for this model. The quantum revolving door operation is introduced into the traditional BBO algorithm, which not only preserves the rapid convergence of the original algorithm, but also mitigates the shortcoming that it is easy to fall into local optimum due to precocity in the search process. The algorithm is applied to solve the micro-grid economic optimization problem and compared with traditional BBO algorithm and adaptive particle swarm optimization algorithm. The results show that it has higher convergence precision and faster convergence speed, and the obtained solution is better. The rationality of the proposed model and algorithm is verified.
An improved teleportation scheme for five-qubit state

In 2017, Min Li et al., presented a quantum teleportation scheme (Int. J. Theor. Phys. 56, 2710 (2017)) of five-qubit unknown quantum state using a seven - qubit entangled state as a quantum channel. Recently, Yong Yang et al., (Int. J. Theor. Phys. 57, 3485 – 3491 (2018)) have proposed an improved scheme of Min Li et al., [1] with only single-qubit measurements. In this teleportation scheme, we have shown that the quantum resource used by Min Li et al., for teleportation of five-qubit state is unnecessarily high and the teleportation task can be performed by using the minimum amount of quantum resource. So, in this scheme, we have proposed that the Min Li et al. and Yong Yang et al.’s scheme of quantum teleportation of five-qubit quantum state can be performed by using two pairs of any Bell states.
Developing English Instructional Materials To Teach Descriptive Text

The aim of this research was to develop instructional materials to teach descriptive text material in the form of bilingual pictorial dialogue for the 8th grade students of State Junior High School (SMPN) 6 Mengkuang Kabupaten Bungo Jambi Province. The design of this research is research and development (R and D). This research was conducted by using 4-D models which consists of 3 steps, namely define step, design step, and develop step. The product was validated by three validators. Two validators are lecturers at English Education Program Faculty of Education and Teacher Training the State Islamic University Sulthan Thaha Saifuddin Jambi and the other validator was the English teacher of SMPN 6 Mengkuang Bungo Regency. To get the data about the practicality of the product, the questionnaire was distributed to the English teacher and 34 students. Then the data of questionnaire was analysed. The validity score was (95%) which is categorized strongly valid. The results of questionnaire from the teacher showed that the practicality of the product was (95%) which is categorized strongly practical, while from the students the score was (87%) which is categorized practical. The module was categorized strongly valid and practical. It means that the module is easy to use, effective and efficient. The teacher and students can use this module as an instructional material in teaching and learning descriptive text.
IMPROVING STUDENTS’ VOCABULARY THROUGH GROUP CHAT DISCUSSION ON WHATSAPP IN LEARNING ENGLISH THIRD GRADE STUDENTS AT SMP NEGERI 1 BUKIT KEMUNING

The objectives of this research were to find out whether i) there was a statistically significant improvement of students’ vocabulary ii) which aspects of vocabulary improve the most after the students were taught through group chat discussion. The approach of the researchwas quantitative. This study employed one group pre-test and post-test design. The subjects were 28 students of the third grade of SMP. The data were collected using the vocabulary test. The data were analysed using Paired Sample t-test. The result showed that there was a statistically significant improvement of the students’ vocabulary achievement with the significant level 0.00< 0.05. This suggests that teaching vocabulary using group chat discussion facilities the students to find meaning from the text easily.Keywords: Group Chat Discussion, Vocabulary, WhatsApp
Beyond the Subject: Non-Topical Facets for Exploration and Discovery

New developments in the cataloging world can help libraries better answer questions like: What music do you have for string quartets? What young adult fiction do you have by African American male authors? Do you have any diaries written by pioneer women in Oregon in the late nineteenth century? Do you have any recent movies from China?
Unraveling Implicit Knowledge in Information Technology Jobs

Job seekers are used to looking at job postings published on the main websites like Glassdoor and Google Jobs. Typically, an online job posting provides a piece of text that describes the job in a more qualitative way. Most job seekers, who would have to view hundreds of postings every day, tend to pay attention to the explicit information exposed by the textual description, such as required skills, salary, and benefits, which are information that the author wishes to convey to the job seekers directly. However, this would lead to overlook of a large part of implicit information which is hidden deeper in the linguistic characteristics of the textual description, such as readability of the text, status of the employer, and domain-unrelated concerns of the text. These implicit aspects of the job description can give job seekers knowledge into the job culture and personal characteristics of future colleagues, helping them to prepare for job interviews more efficiently, and integrate into future job environment more smoothly. Using text mining methods, this study extracts various types of implicit information/knowledge of a collection of more than 24 thousand job postings and depicts the implicit characteristics of IT-related jobs compared to non-IT jobs. Analysis results show that IT-related and non-IT job descriptions have distinct profiles in terms of implicit characteristics.
An enhanced latent semantic indexing with term frequency-inverse document frequency variant for software traceability

Abstract This paper proposes an improved Latent Semantic Indexing (LSI) with Term Frequency-Inverse Document Frequency (TFIDF) variant for software traceability. The main advantage of the method is the simplicity and accuracy of the algorithm such that it can produce high precision and recall. The accuracy of tracing precise links between software artefacts is achieved by feeding the LSI with TF-IFDF variant that halves the TF and IDF values, thus increases the probability of yielding precise links. To test the accuracy of the proposed method, two case studies were evaluated, namely Mushroom Management System (MMS) and Robotic Wheelchair System (RWS). The superiority of the proposed method over a conventional LSI is confirmed by 409.09%, 900.00%, and 620.00% improvements for precision, recall, and harmonic mean scores, respectively, in MMS case study, at cosine threshold of 0.94. It is anticipated that the method could be beneficial in the design of a practical and accurate system for retrieving precise software traceability links.
Comparison of Digitized Book Index Among Japan, the United States, and the United Kingdom

Some reports of publishers' sales data on trends in e-books have been released, but no attempts have been made to precisely indicate the particular titles of the printed versions that were digitized. Therefore, the Digitized Book Index (DBI) has been developed, comprising titles in the national catalog databases of Japan, the United States, and the United Kingdom. The DBI is composed of titles listed at major e-book sites, on e-book platforms, and in electronic libraries. It was found that: 1) the DBI is generally increasing in volume; 2) there are differences among the three countries; and 3) the DBIs are different according to the classification item.
Real-time Nonlinear Signal Processing Super Resolution of 8K Endoscope Cameras

Presently, 8K is the highest resolution of video systems. Originally, 8K research started only for broadcasting services. However, aside from broadcasting, 8K resolution video systems have also an important application in medical field, and endoscopic surgery is in its practical stage. In endoscopic surgery, a 0.02 mm thread is used. This 0.02 mm thread is not visible when using a 4K endoscope. However, when an 8K endoscope is employed, the thread is visible; however, fine focus is still necessary. Moreover, adjusting the focus of 8K by using the common tools only, such as view finders or small monitors, is very difficult. Hence, commercial HD/4K cameras are equipped with auto-focus functions; however, the central areas are not always the focus points. The focus is very deep and the focus points change during endoscopic surgeries. Owing to these reasons, a surgeon should manually control the endoscope focus. It is always very difficult to adjust the focus accurately. Super resolution (SR) has been proposed to sharpen out-of-focus images. However, a real-time SR technology is necessary for the 8K endoscope. In this study, a nonlinear signal processing super resolution (NLSP) is introduced to improve the resolution of 8K endoscope cameras. NLSP can enhance the 8K endoscope images and improve the camera’s focus depth.
Construction Research of University Data Centre of Cloud Computing Based on Virtualization Technology

Abstract University cloud computing data centre based on virtualization technology can integrate and distribute resources in computing, storage, network, security and other aspects on demand to improve the utilization ratio of resources. This paper analyses the drawbacks of traditional university data centre, gives the design scheme of university cloud computing data centre based on virtualization technology, and draws the architecture diagram of data centre after virtualization. The paper provides the key points of university cloud computing data centre implementation based on virtualization technology. Under high concurrency pressure, we compared the average CPU utilization and TTFB before and after virtualization. The results show that after virtualization, the performance of university data centre has been improved significantly.
Multilevel Threshold Secret Sharing based on the Chinese Remainder Theorem

In multilevel secret sharing, a secret is shared among a set of hierarchically organized participants in a way that the members of the superior compartments are more powerful and can replace the participants of an inferior one to form an authorized coalition during secret reconstruction. In this work, we first show that the only existing multilevel threshold secret sharing scheme based on the Chinese Remainder Theorem (CRT) is not secure and fails to work with certain natural threshold settings on compartments. As the main contribution, we propose a secure CRTbased scheme that works for all threshold settings. In the proposed scheme, we employ a refined version of Asmuth-Bloom secret sharing with a special and generic Asmuth-Bloom sequence called the anchor sequence. Based on this novel idea, we also propose the first multilevel conjunctive threshold secret sharing scheme based on the Chinese Remainder Theorem.
Mobile Advertising via Bluetooth and 2D Barcodes

Mobile Advertising via Bluetooth and 2D Barcodes (MAB-2D) has been developed to create a unique 2D barcodes constructed using Bluetooth’s MAC addresses. The aim is to engage the usage of 2D barcodes in the ubiquitous advertising domain, particularly in mobile ads. Together with a distinctive mobile advertising framework based on Bluetooth’s architecture and implementing pull-based technology led to a spam-free environment. The intention of this project is to have a user-driven mobile advertising in interactive and effective ways. This application enables merchants to advertise their goods and services in a confined space straight to customers. The benefit of this project is to broaden advertising strategy and problems such as disruption in customer’s privacy, spamming, time limitation and high cost of advertising.
The Impact Of Studying Environmental Education On The Thinking Of Preschoolers

Ecological education as an important area of ​​study provides the opportunity for teachers in preschool education to present children with objects and phenomena in a relationship of interconditioning and to make them understand the danger of natural imbalance determined by human influence. It is necessary that the discovery of the environment, the complexity of its components, its functions and processes, the dangers of overexploitation and pollution, begin as early as possible. This type of education becomes more effective by fostering learning in as varied contexts: formal, non-formal, informal. It is recommended to start from an early age, through the active involvement of the family, other professional categories, even non-governmental organizations in the educational process. Starting from the premise that the goal of ecological education is to prevent environmental damage, man has to act consciously to maintain and continually improve his / her quality. At present, human society faces a number of negative issues: limitation of reserves and natural resources, continuing environmental degradation, global warming effects, etc. Ecological education seeks to stimulate knowledge and awareness of the need for horses, means and objectives in protecting and improving the environment. The main considerations are: • making a complex image of the environment, as a totality of natural factors and those created by human activities; • understanding the importance of each natural environmental factor; • presentation of elements of the human-environment relationship; • description of the consequences of pollution; • knowledge and observance of environmental regulations and regulations.
Planetary Flyby Attitude Estimation in an Intense Radiation Background Based on Cauchy Uncertainty

There are many estimation problems where both impulsive measurement and/or process noise occurs. Handling outliers in the data has been a heuristic process. Recently, a recursive estimator for linear systems with additive measurement and process uncertainties modeled as heavy-tailed Cauchy probability density functions has been developed. This new scheme directly handles impulsive noise. In fact, for Cauchy noise, this estimator produces the conditional mean and is thereby a minimum variance estimator. To demonstrate its performance relative to a Kalman filter, this new estimator is applied to a planetary flyby, where the star-tracker measurements are impulsive due to the electromagnetic radiation characteristics of the planet.
Review of Some Basic Concepts of Probability Theory

In this chapter many mathematical details or proofs are not given so we refer the reader to the appropriate references in basic probability theory. See for example [10, 60].
Mobile Face Recognition Application using Eigen face Approaches for Android

Face recognition is one of current biometrics identification methods, that based on the measuring to one of human biological characteristics and utilize them to recognize individuals. these characteristics which are called biometric they are hard to fake because they identify a person by measuring one of its biological characteristics such as (finger print, iris print and face print). With the rapid improvement of mobile technologies that happen in last decade face recognition process can make using mobile phone, this paper explains the building of mobile face recognition system using Eigen face approach, Experimental results have been tested on a local data-set that has been created to analyze the efficiency of the application in various cases including different illumination conditions, variation of view, and orientation, the recognition rate of the application when testing on Galaxy Grand Prime + was 78.4. while The recognition rate when testing on Galaxy Note 5 was 82.4. The accuracy of this application can reach to 100% if we use camera with high accuracy and on good light condition.
Exclusion Radius Particle Swarm Optimizer

Abstract Function optimization is a problem that has existed since modern engineering began. With multiple variables, brute-forcing or simple regression models become unfeasible. This paper proposes a shrinking population control method for a dynamic population particle swarm optimizer. The proposed control mechanism creates an exclusion zone, where particles are periodically purged from the simulation. The selection of particles purged relies on their particle best i.e. the position where it found its personal best fitness. Particles with their particle best outside of the exclusion zone with a predetermined radius from the current global best are removed from the simulation. The purging is done periodically in stages of equal iteration counts, and the radius is shrunk by a factor after every stage. By testing 5 benchmark mathematical functions, the results show that the proposed population control mechanism achieves better final optima than only a basic particle swarm optimizer and a simple shrinking dynamic population particle swarm optimizer where the worst performing particle is removed every so often.
Social-Emotional Education In The Context Of Early Education

Emotional and social development is in a relationship of interdependence, mutual conditioning, hence the expression: social-emotional development. Emotional development aims at forming the childs self-concept by being able to perceive himself as a single person, and to recognize emotions, feelings, and experiences. A balanced emotional development of the child helps him or her to quickly identify feelings and emotions, express them and deal with them appropriately in certain situations. Today, a great emphasis is placed on emotional intelligence, which is the link between the person and the environment to which he or belongs to. The curriculum for preschool education promotes the concept of global child development, considered to be central during early childhood. Global development focuses on the areas of child development, in the context in which, in the present society, the childs preparation for school and for life should take into account not only academic competences, but also capacities, skills, attitudes related to social-emotional development (to live and work with others, to manage emotions, to accept diversity, tolerance, etc.), cognitive development, physical development. The dimensions of the social development area, which put high emphasis on preschool education, are as follows: - the development of interaction skills with adults; - the development of interaction skills with preschool children; - the development of social behaviours; - the acceptance and the respect for diversity. The dimensions of emotional development are as follows: - the development of the self-concept; - the development of emotional control; - the development of the emotional expression.
Role of information communication strategy in the development of rural women

Information communication technology can play a useful role in dissemination of information about various issues to the general public. It can be used for creating proper awareness, imparting education and prevention of various diseases. ICTs play an important role in community development. ICTs inform rural people about projects and programmes through newspapers, radio, television, videos, mobile apps, internet etc. Women in India are suffering from various types of problems. In this case ICTs play an important role in disseminating the information and education among the rural people. Women empowerment is possible through dissemination of information, education and knowledge among the people through ICTs. Present paper aims to discuss about the empowerment of rural women through ICTs.