Reviewerly/exHarmony huggingface dataset:
The Use of Audio-Lingual Method in BIPA Learning for Foreign Students in West Sumatra in the Era of the Digital Revolution

The development of BIPA learning is inseparable from the use of methods in learning.Methods are needed at every learning process and every level of education.In this era of the digital revolution, the use of Audi-Lingual methods in BIPA learning is focused on the use of technology aimed at foreign speakers who are millennials who should be packaged as attractive as possible so that students do not get bored quickly and have a high desire in learning Indonesian.In this audio-lingual method, the material presented is material by the characteristics of the students.The research method used is qualitative of foreign students in West Sumatra.Data were analyzed based on interview data and data from the results of the test in the form of multiple-choice totaling 30 items with 15 students, found that scores above 75 were 68.5%, and the remainder obtained Indonesian language mastery scores below the grade 75.Thus it can be interpreted the audio-lingual method is a method that can be used for BIPA learning of foreign student.
Digital Tools in the System of Communication with the Client in the Market of Educational Services

Special attention to building a system of marketing communications in the online environment is determined by the rapid development and growth of markets, as well as the variability of consumer preferences and the need to constantly maintain the process of interaction with customers.There are many modern marketing communication tools which, depending on the intensity and quality of use, can form an effective communication system.The article presents the results of the study summarizing the existing experience of using online and offline tools, on the basis of which the company can choose the tools that will form an effective communication system for interacting with consumers.
Non-invertible key exchange protocol

Abstract We investigate a cryptosystem through what we call non-invertible cryptography. As a result of a continuous refinement process, we present a new key exchange method to establish a secret key between two remote parties. Non-invertible KEP is supported by Euler’s theorem as RSA, it uses exponentiation to exchange a secret key as Diffie–Hellman, and it encrypts/decrypts through invertible multiplication as ElGamal. This method is public key; it allows secret key exchange and performs secret communication. Most remarkably, since it does not rely on computational problems as integer factorization or discrete logarithm whose difficulty is conjectured, non-invertible KEP becomes a promising candidate to protect communication in the quantum era. By contrast, the algorithm is supported on indistinguishability of public key and ciphertext so it achieves perfect secrecy. The protocol demonstrates minimum required time for encryption/decryption processes when is compared with the main public key algorithms as Diffie–Hellman, ElGamal or RSA.
Preferensi Pengunjung Mahasiswa Generasi Z Masa Kini Terhadap Atribut Learning Space di Perpustakaan Akademik

&lt;p class="Abstract"&gt;Most of the current university students are born in Z Generations (1995-2010). Z Generations are unique, especially on their behavior and determining what they like. It included when they want to study around the area of their university. One of the most common study on universities is the academic library. The current academics library are also demanded to be able on adapting and presenting what Z generations want. The ideal academics library can accommodate the learning activities of this generation. This study aims to find the preferences of Z Generations in determining any learning space which come from the library. It also determining the frequency, duration, favorite floor and with whom visitor usually come to library. This preference refers to the theory of learning space attribute. The research method uses quantitative methods by using the survey and questionnaire of 185 students at the ITB, ITS and Unpad. The results showed that Z generations students agreed with the order of preference theory in learning space attribute. This means the academic librarys on university recently should refer to the theory of learning space attribute, so the library can increase the level of the visitors.&lt;em&gt;&lt;/em&gt;&lt;/p&gt;
Data Driven Learning by Discovering Lexical Bundles Using Corpus Resources

Lexical bundles have recently commenced to attract huge attention in corpusbased research.Knowledge of lexical bundles is essential for students learning foreign language, especially those with English for specific purposes.By employing data driven learning, students are able to lead their awareness and learning autonomy in guiding their language discovery tasks.This paper showcases the facets and usage of Corpus of Contemporary American English (COCA) and Lexical Tutor for English vocabulary teaching and learning.In addition, this article provides introductory description of a practical corpus tool for discovering English lexical bundles and how integrating the corpus in teaching for boosting students' vocabulary.The main features of the tool such as N-gram underpins in this paper.
HISTORY OF THE INNOVATION MOVEMENT IN UKRAINE’S EDUCATION (THE 20TH CENTURY)

The monograph presents European and regional development trends in innovative scientific researches in pedagogical sciences. The general issues of the history of pedagogy, theory and methodology of teaching, correctional pedagogy, theory and methodology of vocational education and management of education, information and communication technologies in education, etc. are considered. The publication is intended for scholars, teachers, postgraduate students, and students of pedagogical specialties, as well as a wide readership interested in pedagogy. Innovative scientific researches: European development trends and regional aspect. Collective monograph. – 1st ed. – Riga, Latvia : “Baltija Publishing”, 2020. – 492 p.
Semantic Segmentation of Cell Nuclei in Breast Cancer using Convolutional Neural Network

Many studies have been carried out in the literature and practice by using deep learning technique and successful results have been obtained.Convolutional Neural Network (CNN), a specialized architecture of deep learning, is particularly successful in image processing.Semantic segmentation is a computer vision task to estimate pixel tags corresponding to the region to which it belongs or to the region of the surrounding region.Semantic segmentation aims to understand the class of special objects in the scene.In this paper, Convolutional Neural Network based on detection and semantic segmentation of cell nuclei for breast cancer was performed on the "PSB 2015 crowdsourced nuclei" data set.As a result, the CNN model gave the highest performance with precision (0.844), recall (0.832) and accuracy (0.851) compared to other classifiers in the literature and the most advanced methods.
IMPLEMENTASI K-MEANS CLUSTERING PADA PENGELOMPOKAN POTENSI KERJASAMA PELANGGAN

Tight competition in the business world today, the number of MSMEs engaged in the same field, this requires MSMEs to develop strategies to achieve goals. Apart from having to develop products and services, an MSME must also retain customers. Therefore grouping of potential customers is needed. By utilizing data that is an indicator of the customer. This utilization is called data mining. Data mining is run based on data that has been determined that is customer data, number of accessories, cooperation time, and item returns. Therefore in this study, a potential customer collaboration system was designed using the K-Means method, so that potential customers are obtained. The results of this study are a web-based system application that can classify customers with the K-Means method. Grouping into 3 clusters, the first cluster with enough criteria consists of 7 customer data. This criterion consists of customers who have a small number of goods purchased and a large number of goods returned. The second cluster consists of 17 customer data with good criteria. This criterion consists of customers who have a large number of goods purchases and a few goods returns. The third cluster consists of 7 customer data with very good criteria. This criterion consists of customers who have the most number of purchases and the least return of goods.Keywords: customer, Data Mining, K-Means Clustering
Comparative Analysis of Indigenous Cloud Computing Providers in Nigeria

Cloud computing is not just a new technological phenomenal but the result of different existing technology evolving to make up the foundation of smart computing.The adoption of this technology has provided a great means of achieving efficient and sustainable online cloud services with significant reduction in maintenance cost.Cloud computing is becoming more relevant in Africa and in Nigeria as a whole due to its rapid evolution in the main stream, giving the indigenous IT professionals, government agencies and Large-Scale Organization (LSOs) new business potentials.This work presents analysis of major indigenous cloud computing solution providers with respect to their operations, deployment mode, availability, responsiveness, authenticity, speed, repudiation offer while enlightening users on the provider to select for their various service and creating more awareness about cloud computing in Nigeria.
A computer-based framework to analyze continuous and discontinuous textural works using psychoacoustics audio descriptors

This paper discusses a computer-aided musical analysis methodology anchored on psychoacoustics audio descriptors. The musicological aim is to analyze compositions centered on timbre manipulations that explore sound masses and granular synthesis as their builders. Our approach utilizes two psychoacoustics models: 1) Critical Bandwidths and 2) Loudness, and two spectral features extractors: 1) Centroid and 2) Spectral Spread. A review of the literature, contextualizing the state-of-art of audio descriptors, is followed by a definition of the musicological context guiding our analysis and discussions. Further, we present results on a comparative analysis of two acousmatic pieces: Schall (1995) of Horacio Vaggione and Asperezas (2018) of Micael Antunes. As electroacoustic works, there are no scores, therefore, segmentation and the subsequent musical analysis is an important issue to be solved. Consequently, the article ends discussing the methodological implication of the computational musicology addressed here.
Design and Implementation of Tourism Information System in Ciletuh-Palabuhanratu Geoparks

Ciletuh-Palabuhanratu UNESCO Global Geoparks is a single and unified geographical area the site and landscape are united with international geological significance managed with the concept of holistic protection, education and sustainable development.There are many sites located in the Ciletuh-Palabuhanratu Geoparks, so it becomes a major problem for tourists to found information about site to visited.This paper proposed design and implementation of tourism information system using Google Maps.The system based on Web-GIS, using Codeigniter framework, Google Maps API, AJAX, jQuery and so on.By using this system, tourists can find out the site locations and have a reference to plan their trip.
Clustering on Laplacian-embedded latent manifolds when clusters overlap

The purpose of clustering is to identify groups in a dataset in the hope of revealing some unforeseen latent discrete variable. Clustering however, is known to be one of the most difficult tasks in practice for two main reasons: - high dimensionality of data which requires appropriate feature extraction, - computational complexity of the associated optimisation problems. Spectral clustering was designed as a joint embedding and clustering technique that first embeds the data into a low dimensional space, and then delineates between the clusters by considering the sign of the components of (a linearly transformed version of) the second eigenvector of a similarity matrix. Hence, spectral clustering seemingly solves the two main challenges associated with clustering problems, at least when the clusters are well separated. In this paper, we address the question of clustering when clusters overlap. In this regime, one relevant approach to clustering is to consider the modes of the point cloud distribution, and in particular, how the modes of the distribution of the raw data are mapped to the modes of the embedded data via the Laplacian eigenmap. The main contribution of the present paper is to provide a simulation study of the (approximate) mode preserving property of Laplacian eigenmaps and how relevant the mode chasing approach is to high dimensional clustering. As a consequence of the mode preserving property of Laplacian Eigenmaps, this method is as good as finding modes in the original high dimensional space but with much better computational efficiency. The method is illustrated on both simulated data and satellite data of ground movement.
FORMATION OF INFORMATION COMPETENCE IN LITERATURE LESSONS BY NEXT-GENERATION

The monograph presents European and regional development trends in innovative scientific researches in pedagogical sciences. The general issues of the history of pedagogy, theory and methodology of teaching, correctional pedagogy, theory and methodology of vocational education and management of education, information and communication technologies in education, etc. are considered. The publication is intended for scholars, teachers, postgraduate students, and students of pedagogical specialties, as well as a wide readership interested in pedagogy. Innovative scientific researches: European development trends and regional aspect. Collective monograph. – 1st ed. – Riga, Latvia : “Baltija Publishing”, 2020. – 492 p.
Secure Record Storing on Cloud using Blend Cryptography

The proposed model is at risk to meet the necessary security needs of server farm of cloud. Blowfish utilized for the encryption of document cuts takes least time and has most extreme throughput for encryption and decoding from other symmetric calculations. Splitting and blending includes to meet the guideline of information security. The crossover approach when sent in cloud condition makes the remote server more secure and in this manner, encourages the cloud suppliers to bring more trust of their clients. For information security and protection insurance issues, the major test of detachment of touchy information and access control is satisfied. Cryptography method interprets unique information into mixed up structure. Cryptography procedure is isolated into symmetric key cryptography and open key cryptography. This strategy utilizes keys for decipher information into muddled structure. So just approved individual can get to information from cloud server. Figure content information is noticeable for all individuals.
BUZU: Retrieving public transportation data for sonification

This paper discusses the conception, design and exhibition of BUZU, an audiovisual installation that generates an auditory image of the São Paulo bus transportation system. BUZU makes perceptible information of both the system’s planning and behavior during a particular week in October 2017. The work is an artistic outcome of the InterSCity project, an inter-institutional research initiative concerning the Future Internet and the Smart Cities. Along with the discussion of the BUZU creation process we will examine mining and processing strategies related to the sonification of big data, the data-to-sound mapping methods, the auditory structure for displaying the material and the public exhibition of the work in the context of an artistic event.
Improving the Security Quality of Use Case Models through the Application of Software Refactoring Using Genetic Algorithm

Use case modelling is an industrial de-facto standard technique to express functional requirements.Security bad smells are design flaws that can potentially degrade the quality of software by affecting a system's ability to prevent malicious activities.The presence of security bad smells in a use case model is likely to propagate security vulnerabilities to other software artefacts.Therefore, the detection and refactoring of security bad smells in use case models is important for ensuring the overall quality of software systems.In this paper, we propose a genetic algorithm-based detection approach to detect security bad smells.A refactoring process is then applied to correct the security bad smells.Finally, the improvement to security is assessed through the statistical analysis of quality metrics.The practicality of the approach is demonstrated by applying it to a set of use case models.The results show that the proposed security bad smell detection and correction technique can significantly improve the quality of use case models.
Designing a Digital Content Recommendation System for films

Purpose of the study.The purpose of the study is to analyze the existing methods for constructing content recommendation systems and developing the most accurate and adequate content recommendation system for films.Materials and methods.The paper considers a variety of data analysis methods: vectorization of descriptions, latent semantic analysis (LSA) and its probabilistic form (pLSA), latent Dirichlet allocation (LDA), proximity metrics (cosine divergence, Jensen-Shannon divergence, Kullback-Leibler divergence), the most common factorization method is truncated SVD.Designed content recommendation systems are tested on MovieLens dataset open data [1].This opens up opportunities for checking the results obtained and improving the proposed models.Results.As a result, several models of content recommendation systems for films were developed and reviews of potential users of the system were analyzed which allowed determining the best version of the content recommendation system.Conclusion.An analysis of the created recommendation systems made it possible to understand the user requirements for them.The most important criterion was the level of trust to the system.In other words, this is how much the user is sure that he or she will really like offered recommendations.The quality of the recommendations was evaluated using a survey of the system potential users.This made it possible to cover a number of criteria for evaluating recommendation systems, such as accuracy of rating prediction, novelty, surprise and diversity.
Electronic Fraud and Performance of Deposit Money Banks in Nigeria: 2008-2018

This research work examined electronic fraud and performance of Deposit Money Banks in Nigeria. It is a truism that Nigerian banks have lost of a lot of profit owing to the nefarious activities of fraudulent people including some unscrupulous elements in the banking industry who connive with fraudsters to perpetrate fraud of different magnitude. To this end, the Central Bank of Nigeria in conjunction with Nigeria Bankers Committee&amp;nbsp; established Nigeria Electronic Fraud Forum (NeFF) with the sole aim of monitoring online banks transactions and reporting any financial regulation infringements. Specifically, the objectives of this research work are to analyse the relationship between ATM fraud and performance of DMBs in Nigeria and to evaluate the relationship between POS fraud and performance of DMBs in Nigeria. The data collected were analyzed using basic descriptive ordinary least square (OLS) and multivariate regression panel data setting with econometric analyses. The results showed negative and insignificant relationship between electronic fraud channels and financial performance variables. The study concluded that there is no significant relationship between electronic fraud and financial performance of Deposit Money Banks in Nigeria in the period of study. The study recommended improved collaborations between DMBs, CBN and other stake holders via NeFF to tackle fraud.
Using Rosetta Stone Media Through the Dynamic Immersion Method to Improve Vocabulary Mastery for Junior High School Students

The purpose of this study is to find out the answers to research problems.For more specific the objectives of this study are 1) to increase the vocabulary of students' English vocabulary using Rosetta Stone media and applying the Dynamic Immersion method at the seventh-grade students of SMP N 3 Padangsidimpuan.; 2) To find out the effectiveness of rosetta stone software as media in teaching student's vocabulary at the seventh-grade students of SMP N 3 Padangsidimpuan.Quasiexperimental methods are methods used in evaluations to obtain information.This research is conducted on the seventh-grade students of SMP Negeri 3 Padangsidimpuan consisting of seven classes involving two classes of respondents which areas the experimental groups and control groups.The experimental group was treated by using Rosetta Stone learning media, while the control group was not treated.Based on the result, the writer got a mean of pre-test of the experimental group was 50,91and pretest of the control group was 49,39.The score post-test of experimental was 74,24 and control group was 63,64.The result of the t-test is higher than t-table; 4,93 > 1,99.It means that the achievement of students (taught by Rosetta stone) as media in vocabulary mastery is better than those without taught Rosetta stone.
Real Haptics: Using Physical Manipulation to Control Virtual Worlds

Typical applications in mixed reality use a simulated mechanism for manipulating objects in the virtual environment, through VR controllers held in user —char63s hands, without real touch. As an alternative, within our Distributed Reality concept [3] we propose Real Haptics, a novel interaction method based on two key ideas: providing real user embodiment in the virtual spaces by segmenting user real hands and allowing the real manipulation of physical objects, which in the virtual scene may preserve or change their real appearance. To evaluate the concept, we deployed a functional prototype with Unity, using color-based algorithms for object segmentation [2] and Aruco library for object tracking [1]. Based on this platform we built a gamified testbed: a five-minute escape room game, which 53 users played twice, once with Real Haptics and once with purely virtual objects and avatars using VR controllers. After each run, users answered a survey derived from standard questionnaires measuring presence, embodiment and quality of experience. This information plus some quantitative data related to performance, validated our hypothesis that Real Haptics significantly improves presence or embodiment with respect to the counterpart virtual solution. We foresee our technology to provide a significant advance in the control of virtual environments, with a first potential focus on training applications.
‘Design Thinking’ Grows Up

In this article, an experienced secondary school teacher of science discusses, with examples, his efforts to encourage and enable students to develop and implement technology designs that not only function but, as well, address wellbeing of individuals, societies and environments. Technologies that students develop and implement are research and negotiated actions to help overcome harms they perceive in relationships among fields of science &amp; technology and societies &amp; environments (STSE).