Reviewerly/exHarmony huggingface dataset:
GMusic Player Using Self-adjusting Graph Data Structures

Music player is not just founded on craftsmen or collections, yet in addition dependent on the envelope structure. Music player will direct you discover all the music documents in a moment or two, and supports you to speedily hunt relative music recordings. G music is a music application which relies upon various sorts of graph data structures to work and fill social networking purposes. It use ORM graph databases and splay trees with it in a musical social network suite, for accessing the particular user-defined query from the database. For utilizing abstract database access with a picked object-oriented language, object relational mappers (ORM) are also utilized. In this paper, we analyze and implement splay tree, a self-conform plan of binary search tree for accessing the database in an efficient and effective manner.
Research on TEI Acquisition and Exchange Architecture for CVIS

Traffic safety and road capacity are impacted by unfavorable weather conditions. Traffic environment information（TEI）acquisition and exchange is a significant foundation to solve incidents caused by adverse weather. This paper proposes a TEI acquisition and exchange architecture based on service-oriented architecture (SOA) aim to realize TEI data sharing and the intelligent event management of special highway sections, and provide good TEI foundation for cooperative vehicle infrastructure system (CVIS). This paper first introduces the contents (include atmosphere data, pavement data, etc.), methods and standards of TEI acquisition used in China and internationally. Then the problems of TEI acquisition and exchange are explained. The TEI acquisition requirements for special sections of freeway are proposed through the operating principle of CVIS and its demand of TEI combined with five freeway sections. Finally, the TEI acquisition and exchange architecture for CVIS is established from three aspects according to the demands.
Blockchain-based E-Voting System using Proof of Voting (PoV) Consensus Algorithm

Designing the Electronic Voting System is the biggest challenge, especially in India.It has to satisfy all the legal guidelines and have a robust tamper proof system.Evoting system can be made up of central and distributed network types, but the main disadvantage of central network is single point of failure.Blockchain technology is a distributed type of network many applications like Electronic medical records (EMR), IoT and E-voting.In this paper an electronic voting system using blockchain technology with powerful Proof-Of-Voting (POV) consensus algorithm is developed.This paper evaluates the legal issues that are encountered in conventional methods and how to overcome them with the help of blockchain technology.In this paper one system has made with PoV which increases security, is of low cost and low power consumption.
Features of the term “critical thinking” in the context of the integrative approach to professional training of foreign language teachers

Key words: crea vity, crea ve skills, ontological studies of the language, crea vity of the language, dynamic model of the language reality.The current role of education should be tailored to the current societal development to train and encourage individuals and professionals who can ask novel questions that improve or overturn existing knowledge as well as those who can answer them to benefit science and society at large.The value of education should no longer be mastery of subject, the education system needs to be revamped to bring out creativity among students, encourage creative thinking and train creative minds.Ontological studies of the language reveal its creative nature and offer new important insights into fostering creative skills in students by means of developing the creative way of thinking and nurturing the individual original outlook. Kolodovskaya Elena A.
“Show Me the Crowds!” Revealing Cluster Structures Through AMTICS

Abstract OPTICS is a popular tool to analyze the clustering structure of a dataset visually. The created two-dimensional plots indicate very dense areas and cluster candidates in the data as troughs. Each horizontal slice represents an outcome of a density-based clustering specified by the height as the density threshold for clusters. However, in very dynamic and rapidly changing applications, a complex and finely detailed visualization slows down the knowledge discovery. Instead, a framework that provides fast but coarse insights is required to point out structures in the data quickly. The user can then control the direction he wants to put emphasize on for refinement. We develop AMTICS as a novel and efficient divide-and-conquer approach to pre-cluster data in distributed instances and align the results in a hierarchy afterward. An interactive online phase ensures a low complexity while giving the user full control over the partial cluster instances. The offline phase reveals the current data clustering structure with low complexity and at any time.
Visual Aids to Construct Sentences Using Preposition among ILP Students

This study was conducted to determine the use of flash card as visual learning aids to increase the level of sentence construct using preposition.The main purpose of the study was to identify the students to write the correct preposition based on flash card as visual learning aids.The second purpose of the study was to identify the students able to complete the sentences with the correct preposition based on flash card as visual learning aids.The third purpose of the third study was to identify students writing the correct sentences using preposition based on flash card as visual learning aids.There are 15 ILP, Pedas students were involved in this study.Preliminary surveys have been conducted through pre-test.Data is collected through pre-test and post-test.Students answer for 30 questions which assisted with the picture for post-test.Data analysis based on pre-test and post-test showed student scores are improved.The findings show that the student understanding has increased to construct sentences using flash card as preposition based on visual learning aids.Students are also motivated and interact in the classroom to construct sentences.The use of flash card as visual learning aids encourages the students to learn on their own.Students also can remember the preposition learned for a long time.In summary, this study helps the students to correctly identify the preposition and increase the level of writing using the correct preposition.
On Effects of Changing Multi-attribute Table Design on Decision Making: An Eye-Tracking Study

Information tables are often used for decision making. This study considers multi-attribute table designs from a diagrammatic perspective. We used two experiments to show how the decision-making strategies and performance are changed based on table design changes, using the eye-tracking method. We employed a multi-attribute catalog table with alternatives presented along the horizontal axis and attributes along the vertical axis in Experiment 1 and the opposite layout in Experiment 2. In each experiment, we used four different types of representations of the attribute values, and these values were restricted to two levels for comparison with previous works. The four types used were: (i) numerical representations, (ii) textual representations, (iii) black-and-white representations with black representing better values, and (iv) black-and-while representations with white representing better values. Our results suggest, among others, that (1) placing the alternatives along the vertical axis makes the table easier to decide in comparison to the opposite layout, and that (2) the two-stage decision strategy is taken with numerical representations and textual representations, while a single stage strategy is taken with the black-and-white representations. We also showed how the graphic black-and-white representations made decision-making easier, and how the order changes of alternatives and of attributes of a table influenced decision makers’ decision.
Professional and Communicative Proficiency of a Mentor as a Tool of Image Building in Public Service

The article investigates the imageological aspect of mentor’s communicative competence in public service and reveals the communicative functions of mentor’s image in relation to the mentees. The author determines the communicative skills necessary for the mentor in all processes and stages of this personnel technology. Based on the analysis of scientific publications, the author discloses and justifies the role models of mentor’s behavior in relation to the mentees from the perspective of the mentor’s image, authority, and communicative competence. The author has conducted an expert survey among public servants, which allowed identify the main professional, business, moral, psychological, and integral qualities that are the most effectively developed by the public servant in the process of performing mentor’s functions. As a result, the author suggests a structural-logical model of the communicative competence of a mentor in the public service in the process of perceiving its communicative knowledge, skills, and competencies for achieving the effectiveness of mentoring.
Una rúbrica para la evaluación de textos expositivos

Teaching communicative competences to future teachers has become a need for the European Higher Education Area (EHEA). In this regard, it is essential to know the writing competence of the teachers in training and, specifically, their skills when it comes to writing a text. For that reason, this research article aimed to validate an analytical rubric to evaluate expository texts written by university students. The tool has taken into consideration seven general dimensions assessed according to an estimation scale, ranging from excellent to deficient, including good and acceptable. The validation of the tool was carried out using a mixed methodology (quantitative-qualitative), in which initially 12 independent judges validated its content, and then a statistical validation with the statistical package software (SPSS) was conducted. The results were the obtention of the unanimity of judgment among judges and high internal consistency in the tool. Therefore, the rubric has the suitable construct validity, validated by the judges’ assessment, and high reliability, which justifies its usefulness in analyzing and assessing expository texts to be written by future university students and teachers in training.
Method to Expand the CMAC Model to Composite-Type Model

Neural networks (NNs) are effective for the learning of nonlinear systems, and thus they achieve satisfactory results in various fields. However, they require significant amount of training data and learning time. Notably, the cerebellar model articulation controller (CMAC), which is modeled after the cerebellar neural transmission system, proposed by Albus can effectively reduce learning time, compared with NNs. The CMAC model is often used to learn nonlinear systems that have continuously changing outputs, i.e., regression problems. However, the structure of the CMAC model must be expanded to apply it to classification problems as well. Additionally, the CMAC model finds it difficult to simultaneously classify categories and estimate their proportional linear measure because designated learning algorithms are required for both regression and classification problems. Therefore, we aim to build a composite-type CMAC model that combines classification and regression algorithms to simultaneously classify categories and estimate their proportional linear measures.
Clean Air Act: Awareness and Opinions Among Marine Engineering Students

This study aims to determine the awareness and opinions on Clean Air Act among marine engineering students at maritime university, specifically, John B. Lacson
The Experience of Organizing Research and Project Activities of Bachelors of Pedagogical Education in Professional Training

The article presents the experience of realization of the idea of the formation of project and research competence of future teachers during the organization of research and project activity of bachelors of pedagogical education. The purpose of the research: to justify the necessity to organize systematic project and research activities of students with the support of university professors and practicing teachers and to identify the prospects of solving this problem in the university educational process. Methods of research: study and analysis of scientific literature, normative documents, and Internet resources; comparative analysis; systematization; generalization of experience. The methods used by the authors are based on the synthesis of competence, systemic, and activity approaches. The authors propose to combine the acquisition of subject scientific knowledge and educational skills and abilities with the implementation, presentation, and defense of specific practice-oriented perspective pedagogical projects. The article presents the results of work for the period 2016-2020 with students of specializations 44.03.05 “Foreign languages (with two training specializations)” of full-time education and 44.03.01 “Foreign language education” of part-time education. The authors emphasize that strengthening the content of the subject disciplines (pedagogy, psychology, methodology of education and upbringing) and the inclusion of special additional research courses, modules, and practices in the training program of bachelors of education, and the development of the content of the pedagogical component of the state exam, demonstrating the appropriate level of formation of project and research competence, will solve the problem at a better level.
Role of Near Field Communication Technology and its Impact on Consumers

The day-to-day changes in the technology have paved way for many new inventions. Near Field Communication (NFC) technology is one among the new inventions in recent years. The NFC technology which is installed in smart devices and felicitates the customers to transfer their data, make payments and many more activities. In this modern era, people are much away from cash, moving from traditional way of payment to the modern ways from cash transactions to paying through online mode through the smart devices. To perform this payment activities NFC technology is used. The research was carried out with 100 NFC using respondents and the sampling tools used were Factor analysis, Correlation Analysis, Regression Analysis. The sampling method used for the study is simple random sampling. The research was carried out and Cronbach’s alpha reliability test proved to be consistent and reliable. The researcher has identified the factors influencing to use the NFC technology and also found the most influencing factors. The concluding observations are Services and Relative advantage is the most influencing factors from the study.
A Comprehensive Evaluation Model of Dam Failure Consequences Based on Combined Weighted Cloud Model

Abstract In order to solve the uncertainty and fuzziness of various factors, the cloud model theory is introduced to establish evaluation indexes from four aspects of life loss, economic loss, social impact and environmental impact. AHP and grey correlation method are applied to subjective and objective weight respectively, and a combination weight based on cloud model is proposed the evaluation model of dam break consequence. According to the evaluation index system and evaluation standard of dam breach, the cloud model parameters of different accident levels under the evaluation index are determined in the model; the combined weight of each index is calculated based on AHP and correlation degree method, and the comprehensive evaluation model of dam breach consequences is constructed. Taking five reservoirs in Jiangxi Province as an example, the results show that the model is effective and feasible, which provides a new way for the comprehensive evaluation of the consequences of dam break.
Visualisasi Data Penduduk Dalam Membangun E-government Berbasis Sistem Informasi Geografis (GIS)

Kelurahan 16 Ulu is one of the areas in the city of Palembang which has an area of 475 Ha and consists of several RT. Citizen data collection is the main task of a RT head. The process of managing citizen data by the head of the RT at Kelurahan 16 ulu is still using manualmethod so to get and search information about citizen spread point and data mapping cost a lot of time cause the data still in family card, and the data not yet in mapping state. To solve this problem, it needs visually show the mapping based on Geographic Information System (GIS). GIS is able to manage data that have spatial references for purposes related to mapping and planning. The resulting mapping visualization is in the form of E-government based on GIS. So that it can help to find out the citizen spread point and improve effectiveness and performance in service to the citizen.
Research on TCSOL Master Course Setting

Through questionnaires, discussions, interviews, classroom observations and other methods, this paper implements a study on the curriculum of Master of Teaching Chinese to Speakers of Other Languages (MTCSOL) at Yunnan Normal University. It was found that problems lied in many aspects, including the lack of teachers, teaching content being not cutting-edge and not meeting the teaching goals, and the shortage of teaching materials suitable for the training goals. Finally, relevant suggestions are proposed based on the analysis.
Organizing and compressing collections of files using differences

A collection of related files often exhibits strong similarities among its constituents. These similarities, and the dual differences, may be used for both compressing the collection and for organizing it in a manner that reveals human-readable structure and relationships. This paper motivates and studies methods for such organizing and compression of file collections using inter-file differences. It presents an algorithm based on computing a minimum-weight spanning tree of a graph that has vertices corresponding to files and edges with weights corresponding to the size of the difference between the documents of its incident vertices. It describes the design and implementation of a prototype system called diboc (for difference-based organization and compression) that uses these methods to enable both compression and graphical organization and interactive exploration of a file collection. It illustrates the benefits of this system by presenting examples of its operation on a widely deployed and publicly available corpus of file collections (collections of PPD files used to configure the CUPS printing system as packaged by the Debian GNU/Linux distribution). In addition to these qualitative measures, some quantitative experimental results of applying the methods to the same corpus are also presented.
IMPLEMENTASI METODE SIMPLE ADDITIVE WEIGHTING (SAW) PADA SISTEM PENDUKUNG KEPUTUSAN PEMILIHAN RUMAH BERBASIS ANDROID

The process of selecting house is a difficult thing to do, because there are many alternatives offered by developers. The purpose of this research is to build an Android-based decision support system that can help selection process involving ten criteria. The criteria used in this research are house prices, building area, land area, electricity, water sources, distance from market, distance from university, number of bedrooms, number of bathrooms, and number of floors. The system built applies Simple Additive Weighting (SAW) method. SAW is one of the well-known methods and is often used for multiple attribute decision making because of its simplicity in providing alternatives during the decision making process. Based on system performance testing, the results of accuracy is 85,7%, which at this time has been categorized as very good. Based on the results of alpha testing and beta testing, it can be concluded that application has worked and meets the level of user satisfaction, with value that is categorized as very good
Signal Processing from the First Exploration of Big Data Horizon

&lt;p&gt;Under the background of the popularization and application of computers in various fields, the amount of diversified data has been greatly increased, which also means that the era of big data is gradually coming. At the same time, various signal equipment and sensor equipment are widely used in various fields. People from the perspective of big data expect to collect, analyze and process the signal data by means of big data. However, due to the diversity of signal data and the huge and complex amount of data, the future development trend of signal from the perspective of big data is the information fusion of signal data. Therefore, it is necessary to explore signal processing from the perspective of big data. With the application of signal processing technology, the efficiency and quality of information processing can be improved gradually.&lt;/p&gt;
NUMBERED HEADS TOGETHER LEARNING STRATEGY FOR INCREASING FRESHMEN STUDENTS’ ACHIEVEMENT IN LITERATURE THEORY COURSE

This study aims to find out how the implementation of the Numbered Heads Together (NHT) learning model in Literature Theory courses can improve the quality of learning. The subject of this research is the first semester students of class B TA 2019/2020 Indonesian Language Education Study Program FKIP Unib who are taking Literature Theory courses. Data collection techniques were carried out through questionnaires conducted in cycles I and II. It also used a test technique in the form of an oral test in cycles I and II. The study was conducted in two cycles. In the second cycle the expected learning outcomes are achieved. Learning outcomes in the second cycle showed that of 40 students there were 15 students (37.5%) who received an A. As many as 20 students with B (50%). The rest is a C value of 5 people (12.5%) and a D value of 0 people (0%). Keywords: Numbered Heads Together, Literary Theory
Resource management for model learning at entity level

Abstract Many current and future applications plan to provide entity-specific predictions. These range from individualized healthcare applications to user-specific purchase recommendations. In our previous stream-based work on Amazon review data, we could show that error-weighted ensembles that combine entity-centric classifiers, which are only trained on reviews of one particular product (entity), and entity-ignorant classifiers, which are trained on all reviews irrespective of the product, can improve prediction quality. This came at the cost of storing multiple entity-centric models in primary memory, many of which would never be used again as their entities would not receive future instances in the stream. To overcome this drawback and make entity-centric learning viable in these scenarios, we investigated two different methods of reducing the primary memory requirement of our entity-centric approach. Our first method uses the lossy counting algorithm for data streams to identify entities whose instances make up a certain percentage of the total data stream within an error-margin. We then store all models which do not fulfil this requirement in secondary memory, from which they can be retrieved in case future instances belonging to them should arrive later in the stream. The second method replaces entity-centric models with a much more naive model which only stores the past labels and predicts the majority label seen so far. We applied our methods on the previously used Amazon data sets which contained up to 1.4M reviews and added two subsets of the Yelp data set which contain up to 4.2M reviews. Both methods were successful in reducing the primary memory requirements while still outperforming an entity-ignorant model.
Social Media and the NPD Practitioner

Melanie Rainford, MSN, RN, NPD-BC, is Nursing Professional Development Specialist, The Hospital of the University of Pennsylvania, Philadelphia. The author declares no conflicts of interest. ADDRESS FOR CORRESPONDENCE: Melanie Rainford, The Hospital of the University of Pennsylvania, 3400 Spruce Street, Philadelphia, PA 19014 (e-mail: [email protected]).