Reviewerly/exHarmony huggingface dataset:
Constructions of Dense Lattices over Number Fields

In this work, we present constructions of algebraic lattices in Euclidean space with optimal center density in dimensions 2,3,4,5,6,8 and 12, which are rotated versions of the lattices Lambda_n, for n =2,3,4,5,6,8 and K_12. These algebraic lattices are constructed through canonical homomorphism via Z-modules of the ring of algebraic integers of a number field.
Evaluating the Quality of Modeling the Scenario of Information Analysis on a Branched Network

proposed solution of the problem of assessing the quality of scenario modeling based on the analysis of ontologies of the domain description using the structure representation in the form of a graph, which makes it possible to evaluate its properties using the corresponding metric.This assessment of possible reduction of cost to build a collection of streaming media on the branched network.Shown urgency of solving such problems for the analysis of the budget process on the branched network.A modified search algorithm wide construction of optimal scenarios based on analysis of ontologies describe the subject area.
Error Correcting Codes for Uncompressed Messages.

Most types of we transmit (e.g., video, audio, images, text) are not fully compressed, since they do not have known efficient and information theoretically optimal compression algorithms. When transmitting such messages, standard error correcting codes fail to take advantage of the fact that are not fully compressed.We show that in this setting, it is sub-optimal to use standard error correction. We consider a model where there is a set of messages which the sender may send that may not be efficiently compressible, but where it is possible for the receiver to recognize valid messages. In this model, we construct a (probabilistic) encoding procedure that achieves better tradeoffs between data rates and error-resilience (compared to just applying a standard error correcting code).Additionally, our techniques yield improved efficiently decodable (probabilistic) codes for fully compressed (the standard setting where the set of valid is all binary strings) in the high-rate regime.
The subject of education in the information society: cognitive identity of a media culture carrier

The article substantiates that the temporality of being of the subject as synchronization of communicative, cognitive demands on a person with dynamic changes of information reality, is the basis for the development of media education. It is justified that the formation of competencies of the carrier of modern culture is a difficult task, since such traits as critical thinking, free possession of judgments about content quality, preventive measures in guarantees of dangers of communicative activity and others, fall into the scope of the main threats “ leveling of important conditions of cognitive activity, multiplicity of models of communicative interaction, complex of semiotic systems of media culture, etc. Identified symptomatic cognitive features of the modern subject of information activity indicate the need for an urgent educational response, which means the formation of requirements and criteria for media literacy, a balanced approach to the consideration of temporality, procedural thinking in terms of knowledge, memory, self-identification. It is stated that mastering the semantics, topology, and navigation of the basics of audiovisual communication is an important vector of media education. The article emphasizes the importance of a comprehensive response from the education system to the civilizational challenges of the transition to the information society.
Psychological aspects of motivation and job satisfaction of faculty members: the case of one state University in Kazakhstan

Psychological aspects of motivation and job satisfaction are integral parts of the effective and productive operations of any organization. In the context of higher education,it is one of the spheres, where satisfaction of faculty members, as well as appropriate motivational environment, has the paramount value for the effectiveness of a higher education institution and the quality of educational services. This research aims to explore the psychological aspects of motivation and job satisfaction of faculty members of one state university in Kazakhstan. Questionnaires concerning the job satisfaction level and motivation were distributed among 232 faculty members of one state university in Kazakhstan. The research findings show that the vast majority of participants have a relatively high level of job satisfaction, despite the existence of factors that negatively influence on the job satisfaction level, such as inappropriate work schedule, salary issues, and dealings with administration. At the same time, it becomes evident that favorable social and psychological climate, as well as relationships with colleagues can be considered as the most important components of psychological aspects of faculty members’ motivation. This study provides recommendations that can increase the job satisfaction level of faculty members and improve motivational environment in higher education institutions.
Construction of Polygonal Color Codes from Hyperbolic Tesselations

This current work propose a technique to generate polygonal color codes in the hyperbolic geometry environment. The color codes were introduced by Bombin and Martin-Delgado in 2007, and the called triangular color codes have a higher degree of interest because they allow the implementation of the Clifford group, but they encode only one qubit. In 2018 Soares e Silva extended the triangular codes to the polygonal codes, which encode more qubits. Using an approach through hyperbolic tessellations we show that it is possible to generate Hyperbolic Polygonal codes, which encode more than one qubit with the capacity to implement the entire Clifford group and also having a better coding rate than the previously mentioned codes, for the color codes on surfaces with boundary with minimum distance d = 3.
Similarity Measures Between Type-2 Fuzzy Sets

As an indispensable parameter in type 2 fuzzy logic, the similarity measure has a favorable application prospect. In this paper, the research history and status of this index are discussed briefly. Several typical definitions widely concerned by scholars are researched as emphases, including similarity measures of interval type-2 fuzzy sets and those of ordinary type-2 fuzzy sets. Several successful application cases in the fields of pattern recognition, fuzzy clustering, simplification of fuzzy rule base in recent years are listed, and a simulation case of short term power load forecasting is presented to verify the performance of a similarity measure between interval type-2 fuzzy sets. Finally, the deficiency at present and the future development trend are pointed out.
Postmodern Aspects of Electronic and Multimedia Music

Modernism spirit in the music of doing something new, create innovation and so on now facing an obstacle because material progression in new music become smaller and smaller. Based on this phenomenon, now composers nd other ways to develop their musical landscapes such as breaking the boundaries between music and other arts form until involving Postmodern aesthetic tendencies in their works. Many composers now breaking the boundaries of Modernism myth such as breaking binary opposition between high and pop culture, past and present and make it as another strategy to make music and also to give an alternative solution to the “hibernation” of material progression in new music. These phenomena are clearly appear in electronic and multimedia music where composers using many existing audio quotations from pop culture, using pop art element, and also using an existing audio quotation as a parody.
Pembuatan Video Profil Perpustakaan di Dinas Kearsipan dan perpustakaan Provinsi Sumatera Barat

AbstractThe kind of research this is qualitative with the methods descriptive. Data was gathered through observation and conducting interviews with outstanding librarians and pemustaka for the local office of chancery and libraries the province of west sumatra .As well as by assistance material the manner it should be has to do with video. Writing in the papers were intended to discuss steps that video production profile of the library and libraries in the chancery. west sumatra provinceThis study seeks to describe the stages of making a video of the profile of the library and libraries in the chancery west sumatra province. Based on an analysis data can be concluded that stages in making video library profile as follows: first, production in pre the done before the video consisting of invention an idea or ideas, sinopsis, treatment, storyboard, shooting the script, production production planning and preparation. Second, and hold what production developed at the praproduksi.Third, pascaproduksi end in the process of producing the video before video ready to served.Keyword: video, library
Empirical likelihood ratio under infinite covariance matrix of the random vectors

In this article, we show that the log empirical likelihood ratio statistic for the population mean vector converges in distribution to χ(q)2 as n→∞ when the population is in the domain of attraction of normal law but has infinite covariance matrix. The simulation results show that the empirical likelihood ratio method is applicable under the infinite second moment condition.
UCWE: A User-Centric Approach for Web Quality of Experience Measurement

Quality of Experience (QoE) is a key factor that intuitively re-flects users' satisfaction and perception of web services. How-ever, due to the nature of its subjectivity, it is difficult to be measured and quantified accurately. In fact, we argue that QoE, which has multidimensional metrics, should be measured from a comprehensive perspective. To achieve this, a novel tool that is used to collect objective and subjective data, Data Col-lecting with Crowdsourcing (DCC), is presented and corre-spondingly, a hybrid measurement approach User-Centric Web QoE Evaluating (UCWE) is proposed. This approach quantifies QoE based on subjective ratings which are directly appraised by users and objective metrics which are gathered during the rating process. Based on the collected data, UCWE is able to analyze user-based metrics and build an accurate and adaptive Web QoE evaluating model. In evaluation, training data from over 5000 web accesses are used. Experimental re-sults show that our approach achieves higher accuracy than existing well-known Machine Learning (ML) methods by about 5%. Besides, different groups of users have different rating preferences and effects on QoE.
Zlto: Increase and Track Positive Behavior using Secure Blockchain Technology

Zlto(zlah-toh) is a project to provide secure validation of credentials for young people. Many African youth find it difficult to obtain jobs because of a lack of formal qualification, but they have a breath of informal skills. In this paper we will describe how we implement the Zlto system to provide proof of skills completed through a peer-to-peer evaluation mechanism and stored using blockchain. Since its first deployment in 2016, Zlto has processed over 1 million transactions. We present simulation and analysis of the reputation protocol used to verify work, and further evaluate the peer review process using a think a loud focus group method with a group of peer reviewers in order to improve the system.
PEMODELAN FUNGSI TRANSFER DAN BACKPROPAGATION NEURAL NETWORK UNTUK PERAMALAN HARGA EMAS (Studi Kasus Harga Emas Bulan Juli 2007 sampai Februari 2019)

The prestige of investment is increasingly rising as the people educates in managing finances. Gold is an alternative that most people tend to choose to invest. One of the important knowledge in gold investing is to predict the price in the future with factors that influence the price of gold. Therefore, in this research we made a model of gold prices based on crude oil prices. One method to forecast gold prices based on crude oil prices is the transfer function and backpropagation neural network. The results of transfer function model will be used as input for the backpropagation neural network method. The purpose of this research is to get the right forecasting method through the transfer function and backpropagation neural network model that can be used to predict gold prices. The results showed that the transfer function model with b = 0, r = [2], s = 0 and the ARMA noise model (0, [6]) is the best model to forecast the price of gold with the MAPE value of data out sample as 3,3507%. Keywords : Gold Price, Crude Oil Prices, Transfer Function,Backpropagation Neural Network, Forecasting
K-Means Color Segmentation and Morphological Feature Extraction of Bamboo Fiber as an Environmentally Friendly Material for Soil Strengthening

Indonesia is one of the bamboo producing countries. One of the characteristics of good bamboo is that bamboo has a good fiber content as well. Characteristics of a good bamboo fiber is fiber that has a size and length of fiber that is large and long because it will affect the compressive strength and tensile strength of the bamboo. This study uses the K-Means color segmentation method and shape measurements based on the morphological characteristics of bamboo fibers, namely the area, circumference / perimeter and fiber roundness ratio. The results of testing with 18 images of bamboo type training show that Wulung bamboo fiber which is still of the same genus with bamboo Gombong has the largest size fiber of 40.4, the longest perimeter of 3.73 and has a roundness ratio of 0.83 bamboo Ori which has an area of 21, 6, perimeter of 3.23 and a roundness ratio of 0.79. Bambu Petung has an area of 20.6, perimeter of 2.53 and roundness ratio of 0.79. Java Bamboo has an area of 20.2, perimeter of 1.19 and a roundness ratio of 0.8. Whereas Bambu Apus only has an area of 19.2, a perimeter of 2.09 and a roundness ratio of 0.78. Testing using 8 testing images obtained an accuracy rate of 0,625.
Analisis Prediksi Kelulusan Mahasiswa Menggunakan Decission Tree Berbasis Particle Swarm Optimization

Good accreditation results are the goal of the college. With good accreditation, prospective students can glance at and enter the tertiary institution. To achieve this, there are several aspects that affect good accreditation results, one of which is graduate students who play an important role in determining accreditation. Timely graduate students can benefit the college or a student. Graduates can be predicted before the final semester using a method one of which is the decision tree. Decision tree is a method that is simple and easy to understand by producing rules in the form of a decision tree, but using a decision tree model alone is not enough to produce optimal results. So we need a method for optimization that is particle swarm optimization with advantages can improve accuracy by eliminating unused features. From the results of research with primary data of 2000-2003 graduate students in Amik PPMI Tangerang explained that the particle swarm optimization method can increase accuracy by 87.56% and increase by 01.01% from the decision tree method with a value of 86.55%. From the particle swarm optimization method can also find out which unused attributes have no weight, so that way can improve accuracy. From the results of the increase, it can be used by the Amik University of Tangerang to prevent students from graduating on time.
Analysis and Research on the Combination of Violin Teaching and Local Culture in Local Colleges in Shanxi

The earliest violin with modern significance was born in Europe in the mid-16th century. As one of the most important forms of music in the West, after several hundred years of development, it has already formed its perfect teaching system, and it has developed roots in different countries in the West. Genre. Every brilliant genre is immortal based on the cultural characteristics of its own nation. However, in modern China, China began to develop domestic violin art and education. However, due to long-term wars and social unrest, it has been in the stage of imitation and exploration before the founding of the People''s Republic. Since the founding of the People''s Republic of China, although a large number of composers have created many excellent Chinese violin works, the Chinese education of violin music has not been perfected in China. Nowadays, the national music education and the improvement and development of nationalization have become the general trend of the development of music teaching in colleges and universities. This paper analyzes the current situation of the development of violin nationalization teaching in some colleges and universities in Shanxi, discusses and studies the necessity of nationalization reform of violin teaching in colleges and universities, as well as the methods and practice of nationalization reform of violin playing teaching in colleges and universities.
The Relationship Among Associate Pastor's Calling, Pastoral Stress, Self-Esteem and Job Satisfaction

This research empirically examined the effect of welfare benefit on turnover intention of elderly nursing homes.Hypothesis 1 is partially adopted.First, funding support had no significant influence on job satisfaction.Second, cultural support had a significant effect on job satisfaction.Third, life support had a significant influence on job satisfaction.Fourth, facility support had a significant influence on job satisfaction.Fifth, health support had no significant influence on job satisfaction.Hypothesis 2 was adopted.Sixth, job satisfaction had a significant influence on reducing to turnover intention.
Transitive university – innovative ecosystem development driver in the region

The article is devoted to understanding a transitive university as a driver for the development of an innovative ecosystem in a region. The article analyzes the concept of the “triple helix” and the expanded “five helix”, which is the integration interaction of the university, industry and government, as well as the civil society and media space. The development of innovations is ensured through close interaction of all these actors, and the university is assigned the role of the most active participant, prognostically building the interaction between them for the development of the innovation ecosystem.
Employees’ Perception of the Impact of Electronic Devices on the Performance of Small and Medium Size Enterprises (SME’s) in Cameroon

The human resource is the most vital sector of every business, and with the fast evolution of technology, Information and Communication Technology (Further-ICT) is becoming more of a necessity in every sector of business rather than an option.Due to the importance of Employees, the study seeks to assess the perception of the use of electronic devices on company's performance [Small and Medium Size Enterprises (Further-SMEs)].It is based on the positivism epistemology and the ontology of objectivism.The research used a survey method to collect data using well-structured questionnaires administered to some SMEs in Cameroon using probability sampling technique and data was analysed and interpreted using SPSS.The study works on the assumption that electronic devices have a positive impact on employee's efficiency and on the performance of SMEs in Cameroon.The study concluded that, electronic devices (when used for training and production), has a significantly positive effect on the performance of SMEs in Cameroon.Since the study was based on the perception of employees, the research recommends that a cross sectional analysis should be done on companies using electronic devices and those not using to properly ascertain its effect.
Optimization of Cost Calculation Model for Railway Bridge Concrete Engineering Based on Big Data Analysis

At present, the international general engineering cost calculation method is the engineering quota method and database. The main working principle is to use historical data to infer future data, So it's called budget. Among them, China mainly adopts the fixed project cost budget model. However, in the actual application process, there are still problems such as the lag of new technology utilization and the constant value of engineering cost. These problems are contrary to the theorem of cost reduction when economic production is large, which is not conducive to the further development of the domestic engineering cost industry. Based on this, this paper uses the big data analysis technology to construct the engineering cost model with the cost of the railway bridge concrete project as an example, in order to improve the shortcomings of China's engineering quota calculation model.
Some Results on Images of a Class of λ-Constacyclic Codes Over Finite Fields

In this paper, we show that any λ-constacyclic code over F <sub xmlns:mml="http://www.w3.org/1998/Math/MathML" xmlns:xlink="http://www.w3.org/1999/xlink">qm</sub> is a λ-constacyclic code over F <sub xmlns:mml="http://www.w3.org/1998/Math/MathML" xmlns:xlink="http://www.w3.org/1999/xlink">q</sub> under some special maps. Moreover, we show that the images of these λ_constacyclic codes can be put into the concatenated form.
*WINNER* An Approach For Concept Drift Detection in a Graph Stream Using a Discriminative Subgraph

Graph mining has attracted considerable research interest recently with the emergence of complex networks like social media, sensor networks, and the world wide web. In a streaming scenario, the concept to be learned might change over time. While there has been considerable research done for detecting concept drift in traditional data streams, little work has been done on addressing concept drift in data represented as a graph. We propose a novel unsupervised concept-drift detection method on graph streams. The methodology starts by discovering discriminative subgraphs for each graph in the stream. We then compute the entropy of the window based on the distribution of discriminative subgraphs with respect to the graphs and then use the direct density-ratio estimation approach for detecting concept drift in the series of entropy values obtained by moving one step forward in the sliding window. The usefulness of the proposed method is demonstrated through experiments using artificial and real-world datasets and its performance is evaluated by comparing against related baseline methods.
Penggunaan Media Buku Cerita Bergambar dalam Perkembangan Bahasa Anak

This research was instigated by some problems of student language development, so it aimed at knowing the effect of using Story Book with Picture media toward student language development at Group B of Mayang Kindergarten Pekanbaru. It was conducted from June to October 2019 at Mayang Kindergarten Pekanbaru. The subjects of this research were the students. There were two classes that were studied by the researcher—15 students of group B2 as the experimental group and 16 students of group B3 as the control group, and they were 31 students. The object was the effect of using Story Book with Picture media toward student language development at Group B of Mayang Kindergarten Pekanbaru. Observation, documentation, and interview were the techniques of collecting the data. Based on the research findings, the use of Story Book with Picture media could affect student language development, and it was based on the comparison between pretest and posttest of experimental group using t-test. It was obtained that tobserved was 20.051, and Sig. (2-tailed) 0.000. Because Sig. (2-tailed) was lower than 0.05, it could be concluded that there was a significant effect after using Story Book with Picture media toward student language development. So, it meant that H0 was rejected and Ha was accepted. There was an effect before and after using Story Book with Picture media toward student language development of experimental group. The effect of using Story Book with Picture media toward student language development at Group B of Mayang Kindergarten Pekanbaru was . Keywords: Story Book with Picture Media Use, Language Development