Reviewerly/exHarmony huggingface dataset:
Elastic Network-based Subspace Clustering for Security authentication

As the amount of information in the actual application increases, security has become a crucial problem for people. Since security requirements continue to improve, biometrics has been widely studied in recent years. Consider the limitation of traditional security authentication such as performance degradation and system vulnerabilities, an unsupervised model may be more suitable for practical applications. In this paper, we proposed a novel elasticity network-based subspace clustering model for security authentication. Our approach combines ridge regression model with representation coefficient sparsity to construct an elasticity network. Then, we design an iterative numerical scheme with augmented Lagrangian multiplier to solve the objective function, and all variables are alternately solved to satisfy optimization. We evaluate our proposed security authentication model on two public face and handwriting datasets. The experimental results demonstrate that our approach outperforms other comparison methods.
Correction: SimNet: Similarity-based network embeddings with mean commute time

[This corrects the article DOI: 10.1371/journal.pone.0221172.].
METHOD OF SOLVING PROBLEM SITUATIONAL-PROFESSIONAL TASKS AS THE BASIS FOR THE FORMATION OF ARGUMENTATIVE COMMUNICATIVE COMPETENCE

The article discusses the problem of training a specialist of a new format, capable of developing the necessary skills and abilities for their foreign language professional activity. To prepare such a specialist, the authors propose argumentative communicative competence, the structure of which includes argumentative-discursive and polemical-argumentative subcompetences, which are the basis of professional training of future foreign language teachers. The technologies of their implementation in the educational process are given, the program that is offered for 50 2nd year students is analyzed. According to this program, a system of exercises for the formation of argumentative communicative competence has been developed, which is presented in stages in a typological sequence. The article substantiates the importance of the method of solving problem situational-professional tasks in the process of the formation of argumentative communicative competence in training future foreign language teachers. The authors give a definition of the method of solving problem situational-professional tasks and implement it in specific classes related to solving argumentative tasks for future English teachers using algorithms selected in the educational process. The modeling of the professional activity of a future teacher allows the formation of a number of important professional competencies, including argumentative communicative competence. In the process of using the method of solving problem situational-professional tasks, real conditions are created for future professional activities, which ensures readiness for work in the new modern educational environment. Key words: method of solving problem situational-professional tasks, argumentative communicative competence, professional training, algorithms for solving situational problems, pedagogical situation, foreign language education.
SABER: An Infrastructure-Agnostic Benchmark Tool for Elasticity Evaluation on Cloud Foundry Based Platforms

Elasticity can be considered as one of the main features of cloud computing. It can be described as the ability to dynamically provision (or de-provision) resources to meet an application's demand. Cloud-native platforms support this feature, allowing applications to be vertically or horizontally scaled. However, evaluating the performance of elasticity in cloud-native platforms is not a trivial task. These platforms tend to focus on providing higher abstractions to their customers, which typically results in the absence of low-level metrics that are required for measuring and evaluating elasticity performance. Therefore, this paper presents SABER, an infrastructure-agnostic benchmark tool for elasticity evaluation of Cloud Foundry based platforms. SABER collects low-level metrics regarding elasticity typical procedures (e.g., allocation and de-allocation of resources) and can be used to evaluate elasticity on different cloud infrastructures. Furthermore, we present an evaluation of SABER running on Pivotal Application Service, a Cloud Foundry based platform provided by Pivotal Web Services.
Scalable processing of massive text data stores for NLP

The storage and processing of text are integral components of machine learning and natural language processing algorithms. As text-generating sources continue to enlarge the size of natural languag...
A space-efficient algorithm for computing the minimum cycle mean in a directed graph

An algorithm is introduced for computing the minimum cycle mean in a strongly connected directed graph with n vertices and m arcs that requires O(n) working space.This is a considerable improvement for sparse graphs in comparison to the classical algorithms that require O(n 2 ) working space.The time complexity of the algorithm is still O(nm).An implementation in C++ is made publicly available at http://www.pawelpilarczyk.com/cymealg/.
Peningkatan Kemampuan Literasi Digital bagi Siswa Kelas 4 dan 5 SDN Tanjakan 3, Kabupaten Tangerang

IMPROVEMENT OF DIGITAL LITERACY ABILITY FOR GRADE 4 AND 5 STUDENTS OF SDN TANJAKAN 3, TANGERANG REGENCY. Digital information resources are very abundant, due to advances in information technology and the internet. The current condition of students in Indonesia, which is a digital native generation, has a high dependence on information retrieval on the internet. Aside from the internet having a positive impact, the internet also has a negative side and that information can spread quickly on the internet. Digital literacy is needed to teach children the basics of socializing and digital security so they can explore the digital world safely and confidently. The subjects of this study were elementary school students in Tanjakan Village, Rajeg, Tangerang. This study uses a practical pragmatic theoretical approach that directs children to learn in groups and together solve each problem. The result of this service program is that digital literacy is carried out according to the desired target, and participants gain insight into information and communication technology and the use of the internet in a healthy and safe manner. With the right internet training, it is expected to avoid the dangers of the internet from the negative side. Participants already know tips on how to find a true or fake news on an internet website, and can surf safely and healthily. Based on the evaluation, participants of SDN Tanjakan 3 understood the material that had been delivered and agreed to use a healthy and safe internet.
PENGEMBANGAN APLIKASI ANDROID UNTUK E-COMMERCE PRODUK AGRO DENGAN DATABASE MYSQL DALAM RANGKA MEMPERKUAT KETAHANAN PANGAN DI PROVINSI BANTEN

Android application is designed for agro product E-Commerce that utilize the MySQL database. This application aims to help the Banten Provincial Government to realize the target of corn self-sufficiency in Banten by connecting farmers directly with their consumers. Java, XML, and PHP are used to develop this application. The E-Commerce adheres to the type of C2C system where third party accounts are employed in the transaction. It has a multi-level user system where anyone can register as a seller, buyer, or transportation service. Sellers and transportation services can directly promote their goods in this system. After clicking the button on the application, the Buyers can immediately make transactions quickly, safely, and comfortably. BlackBox and compatibility testing were carried out and produced 100% success. It is indicated that our application is suitable for the digital corn trade management system in Banten to strengthen food security.
A Brief Literature on Optimization Techniques and Their Applications

Meta-heuristics optimization algorithm is becoming identically popular from the last two decades, and a lot of proposed work has been employed in this field to solve large number of engineering problems, real-world problems, and all other such kinds of problems those are not easy to solve in deterministic amount of time. Such types of problems are known to be NP-hard, and corresponding constraint variables of objective functions contain continuous values. To solve that kind of problem, randomize algorithms (optimization algorithms) come into account that begin with random solutions. This work gives a brief idea about swarm intelligence optimization algorithm, evolutionary algorithms, physical algorithms, and biologically inspired optimization algorithms with their applications. The outcome of these algorithms is prominent in many applications, data set and engineering problems. Some are described in this article out of them.
Control system design of duct cleaning robot capable of overcoming L and T-shaped ducts

This study introduces the control method of duct cleaning robot that enables real-time position tracking and self-driving over L-shaped and T-shaped duct sections. The developed robot has three legs and is designed to flexibly respond to duct sizes. The position of the robot inside the duct is identified using the UWB communication module and the location estimation algorithm. Although UWB communication has relatively large distance error within the metal, the positional error was reduced by introducing appropriate filters to estimate the robot position accurately. TCP/IP communication allows commands to be sent between the PC and the robot and to receive live images of the camera attached to the robot. Using Haar-like and classifiers, the robot can recognize the type of duct that is difficult to overcome, such as L-shaped and T-shaped duct, and it moves successfully inside the duct according to the corresponding moving algorithms.
INOVASI PEMBELAJARAN MELALUI PENINGKATAN MEDIA TEKNOLOGI

Learning media helps students in constructing knowledge in various world educational institutions. The development of technology helps learning media become easier to use. Various instructional media technologies have also become a trend and even help to learn resources across regional, national and continental boundaries. The development of instructional media always intersects with the culture of global learning behavior. Global culture is always influenced by the strong culture of developed countries such as countries on the American continent such as the United States and Canada, countries on the European continent such as Britain and Germany, countries on the Asian continent such as Japan and China. The cultural friction experienced by users of learning media is characterized by the use of global learning resources. Literature sources, connections with lecturers, access to URL addresses, broadcasts are largely a product of global culture. Keywords: Learning Media, Technology.
The Analysis of Student’s Writing By Using Systemic Functional Grammar

This study is discussed about an analysis of a review text entitled Leonardo Da Vinci written by one of first grade student of a senior high school in Bandung. It consists of three parts: introduction, discussion and conclusion. The introduction describes the lexicogrammatical features of student’s Review text. The discussion provides the analysis of Theme system, Transitivity system, Modality and Grammatical metaphor by using Systemic Functional Grammar. Finally, the conclusion sums up the result of the analysis and briefly explains implication of the topic. He organized the text successfully that achieved the purpose, generic structure and linguistic feature of review text in general.
Effect of Electronic Banking on the Profitability of Deposit Money Banks in Nigeria

The study examined the effect of electronic banking on the profitability of deposit money Banks in Nigeria.Banking industry is confronted by a new innovation imposed by technology transformation that has changed the way banks conduct their activities from traditional means to electronic means.Furthermore, this study investigates how the electronic banking channels through internet, mobile, POS and ATM have impacted on deposit money banks profitability.It is against this background that the study examined the effect of electronic banking on the profitability of deposit money Banks in Nigeria.The methodology of the study was quantitative in nature.Using time series data of 2006 -2015, the study employed regression technique in the analysis of sourced data.Data were collected from secondary sources through annual reports of deposit money Banks in Nigeria.Electronic banking was measured using the total values of internet banking, mobile banking, POS and ATM while Profitability was measured using profit margin of deposit money banks in Nigeria.Profitability was regressed on internet banking, mobile banking, POS and ATM using ordinary least square regression technique.The study revealed that positive relationship exists between mobile banking and Profitability, and between ATM and Profitability.In addition, there is also a statistically significant relationship between POS and Profitability while there is no significant relationship between internet banking and Profitability.As such, E-banking has a positive effect on Profitability of deposit money banks in Nigeria.It is therefore, recommended that banks must offer numerous services through internet banking and effective transaction through the POS Terminals.
PENDAMPINGAN PROGRAM ALIH TEKNOLOGI MESIN PEMOTONG SAYURAN UNTUK PENINGKATAN USAHA KUE TRADISIONAL YANG BERKUALITAS

Pematang Gubernur, Muara Bangkahulu District, Bengkulu City, is a town where many people do small business making and selling traditional cakes or fried foods. This business uses vegetables, such as potato, carrot, cabbage as base ingredients. However, the people have not yet used technology to help them do the work, especially for the vegetable cutting process. Hence, they lack of time efficiency and consistency in size of the cut food. To overcome this, technology is needed in the form of a multipurpose vegetable cutting machine capable of cutting large capacity vegetables in no time. This community service activity aims to assist technology transfer programs to the community. The team of this program introduces the vegetable cutting machines, as well as providing and motivating ways to create, install and use vegetable cutting machines. Methods used in this program include assisting in the identification of vegetable / grass cutting machine components, design assistance, material selection and manufacturing of cutting machines and practice using cutting machines. The results show that participants are very interested in making and using the equipment. They expect the sustainability of this activity. Participants hope that this activity will be continued with training in making various forms of vegetable cutting mold. Different shapes of cutting is expected to get more attractive look of the food.
Multidimensional Numbers and Semantic Numeration Systems:Theoretical Foundation and Application

In this article, we present a new class of numeration systems, namely Semantic Numeration Systems. The methodological background and theoretical foundations of such systems are considered. The concepts of abstract entity, entanglement and valence of abstract entities, and the topology of the numeration system are introduced. The proposed classification of semantic numeration systems allows to choose the numeration system depending on the problem being solved. Examples of the use of a two-dimensional number system for image compression problems and computation of a two-dimensional convolution are given.
Expert System Of Nose Disease With Hybrid Method

Nasal disease is a type of disease that is classified as often afflicting someone. And it is not uncommon among people to conduct a direct examination on ENT specialists to find out the type of disease they are experiencing. Thus an alternative is needed to find out early the problems that arise from the nose. The intended alternative is to build a system in the form of an expert system that uses one's expertise in providing knowledge in the form of a nose condition. The system was built using a hybrid method that combines the forward chaining method and the certainty factor. So, the results or knowledge given to the public is confirmed by the percentage given.
Analysis of Cell Block and Cytology Specimen Preservation from Lung Aspiration Biopsy

Cytology smear technique is often used in Indonesia because the process is safe, simple, easy, fast, and cost effective. At present, several studies have found that smears with cell block techniques are of better quality than smears with cytology smear techniques. The aim of this study was to analyze whether the cytology smear technique can produce adequate specimens compared to cell block towards results of lung Fine Needle Aspiration Biopsy (FNAB). Lung FNAB specimens were divided into two parts: one part was processed with cytology and the other part with cell block technique. The specimens were observed under a microscope to count the number of inflammatory cells and the number of artifacts. The numbers of inflammatory cells and artifacts were scored 0-3. The inflammatory cells consisted of neutrophils, lymphocytes and plasma cells, also macrophages. The result showed no significant difference between the number of inflammatory cells in cytology and cell block (p neutrophils=0.543; p lymphocytes and plasma cells=0.192; p macrophages=0.487) in 38 samples. The artifact score comparison test result showed a significant difference between the number of artifacts in cytology and cell block (p=0.027) with more artifacts in cytology. The most common artifact in cytology was air bubble artifacts, while cell block was dominated by torn pieces artifacts. There was no significant difference between the number of inflammatory cells found in cytology and cell block techniques. Cell block technique has less artifacts than cytology, but artifacts found in cytology can be corrected so that the cytology smear technique is still an option.
Online identification of nonlinear systems using neo-fuzzy supported brain emotional learning network

This paper proposes an online algorithm for identifying the nonlinear dynamical systems and is termed as neo-fuzzy based brain emotional learning plant identifier (NFBELPI). As the name suggests, the proposed identifier is a combination of brain emotional learning network and neo-fuzzy neurons. The integration of these two networks is realized in a way that retains the characteristics of both the networks while an enhanced performance is achieved at the same time. Precisely, the orbitofrontal cortex section of the brain emotional learning network is fused with neo-fuzzy neurons with a view to equip it with more knowledge than does the amygdala section possesses. The proposed identifier accepts n-input and m-output samples to generate an estimate of the plant output and employs a brain emotional learning algorithm to lower the estimation error by adjusting a total of ((n + m + 1) × p) + (n + m + 2) weights, with p being the number of neo-fuzzy neurons. The proposal is validated in a MATLAB programming environment using a simulated Narendra dynamical plant as well as against the data recorded from real forced duffing oscillator. Comparison with a brain emotional learning plant identifier (BELPI) and some other state-of-the art identifiers in terms of root mean squared error (RMSE) criterion reveals the improved performance of the proposed identifier.
The effect of group's Logo therapy on social participation of Retired teachers of the Retirement Center Education Bojnoord

The effect of group's Logo therapy on social participation of Retired teachers of the Retirement Center Education Bojnoord
“To Fulfill the Plan at Any Cost”: The Problem of Motivation for Quality Work on Machine-building Enterprises of Altai Territory in the 1940s–1980s

The article investigates the practices of motivating workers for high-quality work on the machine-building enterprises of the Altai Territory in the 1940s-1980s.The research was carried out on the basis of microhistorical approach.Three machine-building enterprises were chosen as objects of study: the Barnaul Transport Machinery Plant (Transmash), the Altai Tractor Plant (ATZ) and the Barnaul Railway Car Repair Plant (VRZ).Microanalysis was implemented in combination with the study of state labor policy.It is shown that the problem of high rejection rate and poor-quality output associated with the poor-quality labor on the Altai enterprises was not solved during the period under study.It is established that during the Great Patriotic War coercion occupied a leading place in the state incentive system for high quality work, while reducing the rejection rate wasn't declared as the main objective for the administration of enterprises.At the turn of the 1940s 1950s the state payed attention to the problem of the poor-quality labor of industrial workers.But only moral inducement wus strengthened to solve this problem.The decrees of the Kosygin economic reform in the second half of the 1960s and Acceleration and Perestroika Policy set the goal of improving the quality of industrial products through incentive compensation for quality work and severe penalties for production rejects.Under the real operating conditions of industrial enterprises production managers were unable to actively use incentives for improving the quality of work.Due to the high turnover, wage funds at the enterprises were distributed to increase average earnings for retention of labor force.Under the conditions of non-rhythmic Soviet production, middle and lower-level managers refused to apply strict penalties for production rejects, because reducing quality requirements for the production was an effective way to fulfill the established plans.
Securing Digital Color Image based on Hybrid Substitution Cipher

This study proposes securing digital color images with hybrid substitution cryptographic methods combined with the Vigenere and Beaufort methods. The hybrid process is carried out using the help of two randomly generated keys. The first key is a matrix with an 8-bits value and the second key is a matrix with a binary value. The binary key is used to determine the Vigenere or Beaufort process, while the 8-bit key is used for modulus operations based on the Vigenere or Beaufort algorithm. At the test stage used a standard image that has an RGB color channel as a dataset. The quality of the cryptographic method is measured by several measuring instruments such as MSE, PSNR, and SSIM to determine the quality of encryption visually and the perfection of decryption, besides that it is used Entropy, NPCR and UACI to determine the probability of encryption resistance and quality against differential attacks. The TIC TOC function is also used to measure the computing speed of the encryption and decryption process. Measurement results using all measuring instruments indicate that the proposed method has very satisfying results and has fast computing. Keywords – Cryptography, Substitution Cipher, Modulus Function, Encryption, Decryption, Image Transmission