Reviewerly/exHarmony huggingface dataset:
Dynamic Collaboration Model of Production Network Based on Cloud Service Bus

The IT system of manufacturing enterprises usually has many problems, such as complex industrial software, different development languages, diverse communication protocols, and complex operation environment. Cloud service bus (CSB) technology based on service model encapsulates various applications existing in enterprises by means of the integration of cloud service bus and micro services, which can realize the rapid cloud migration and deployment of heterogeneous industrial application software. Theoretically, after the production system is connected to CSB, it can be arranged arbitrarily by service choreography technology to produce any possible products. However, in the context of industrial Internet, the production system connected to CSB corresponds to the equipment, materials, personnel, and other resources on the production line one by one. These production nodes need to consider the production capacity and cost of production service nodes and the output value of the whole production network, and cannot be combined arbitrarily. Therefore, when integrating production service nodes, we should not only consider the technical integration, but also consider whether the production conditions support this integration. To solve the problem of production node integration in CSB, a dynamic collaboration model of production network based on cloud service bus is proposed in this paper. The model takes the capacity, cost, and production relationship of production nodes as constraints, and the overall efficiency of production network as the optimization goal. The model can calculate the new creation, modification, deletion, and other scheduling operations of production line services in real time and give the production plan with the highest resource utilization and the greatest value in the current production network. The model can improve the rationality and economy of service choreography and give full play to the value of production network. Taking an enterprise with 11 production nodes and 5 production lines as an example, this paper discusses in detail how to use this model to calculate the optimal production organization scheme and the maximum output value of the enterprise.
Queueing Theory based Performance Analysis of Cloud based BlockChain as a Service (BaaS)

Abstract Third party cloud service providers are becoming common for offering BlockChain-as-a-Service (BaaS). In this framework, incoming requests are processed by a number of stages sequentially with each service stage having different processing times. Each stage will manifest a particular component of BlockChain primitives such as digital transactions undertaken by businesses within permissioned users. This will require sophisticated steps of digital fingerprint/certificate generation, secure transaction management based on permission levels, federated consensus and transaction validation among others using distributed cryptographic techniques. Such architectures are becoming common as third-party Cloud Services will begin to offer BlockChain-as-a-Service (BaaS) for improved security for clients. BaaS will typically incorporate the M/Hypo/1/L queueing model in which incoming requests are Poisson distributed, processing times are hypo-exponential and having finite buffers. Our main contributions in this paper are: (i) To develop a realistic Queueing based performance model of BaaS over third party cloud service provider; (ii) to develop rigorous mathematical analysis to estimate the model parameters such as calculating system idleness, system utilization, queue waiting times, and the number of occupants in the system and queue; (iii) Furthermore, our model helps to estimate real-time Service Level Agreement (SLA) criteria such as through-put, response time, and request drop as a function of system security implemented through mining stage.
State Adoption of Cryptocurrency: a Case Study Analysis of Iran, Russia, and Venezuela

The emergence of digital currency is becoming prevalent in the age of globalization – specifically, cryptocurrencies, a subset of digital currency that encompass revolutionary technology. This study postulates that certain governments are more prone to adopting cryptocurrencies, especially those seeking to eschew international sanctions and protect corrupt practices. Three comparative case studies focus on countries (Iran, Russia, and Venezuela) that share attributes that result in adopting what has been called “native cryptocurrencies”: corruption, GDP level, economic volatility, and Western sanctions. KEYWORDS: Cryptocurrency; Blockchain; Political Science; Law; Foreign Sanctions; Government; Iran; Russia; Venezuela
GRAMMATICAL COHESION IN STUDENTS’ UNDERGRADUATE THESIS

The goals of this study were to find out the most dominant types of grammatical cohesion used in undergraduate thesis belonged students of study program of English language education at Hamzanwadi university by M.A.K Halliday’s theory. This study was classified into descriptive qualitative research with discourse approach. The author used documentation in the form of students’ undergraduate thesis for collecting the data. There were two kinds of data taken, namely primary and secondary data. The primary data referred to the thesis written by the learners of the eight semesters as their partial fulfilment task before having bachelor degree. The secondary data was data that complete the main data. The author showed the data in line with Creswell and Poth theory in which the author related the theory by examining the grammatical of the thesis. The research finding revealed the most dominant type of grammatical cohesion was reference which appear 6149 times or 65, 29 % then conjunction which was found 3107 times or 32, 99 %. Meanwhile, the least dominant types of grammatical cohesion were substitution which appeared 145 times (1, 53%) and ellipsis which appeared 16 times (0, 16%).
Model of information systems success Delone and Mclean in using Pedulilindungi application in the tourism sector of Malang City

Currently all tourist attractions in the city of Malang have the PeduliLindungi application installed. The application is one of the requirements so that visitors can enter tourist attractions during PPKM. The PeduliLindungi application is also used as an anticipation of exposure to Covid-19 in the tourist environment. Moreover, epidemiology experts have also warned to be alert to the third wave of Covid-19, as a result, a fast application is needed to provide information about covid. The purpose of this study is to look at the use of the PeduliLindungi application system on the visitor side of the existing Desatinasi by looking at the quality of the system, the quality of information and the quality of service provided by the application, especially visitors to the tourism sector in Malang City. The population of this study is all people who have used services in all tourism sectors such as (tourist attractions, transportation, cafes, malls, hotels, and cinemas), the number of samples is 252 respondents with the sampling technique used is accidental sampling. The analysis used is descriptive, analysis of multiple linear regression, hypothesis testing (F test, t test) and coefficient of determination (R2) test. The results of the study 1) System quality, information quality and service quality have a positive effect on user satisfaction of the PeduliLindungi application. 2) The quality of the system has no direct effect on net benefits. 3) Information quality and service quality have a positive effect on the net benefits of using the PeduliLindungi application. 4) The quality of the system has a positive effect on net benefits through user satisfaction of the PeduliLindungi application. 5) Information quality and service quality have no effect on net benefits through user satisfaction of the PeduliLindungi application
Pembelajaran Berbasis Peserta Didik Dengan Menggunakan Media Poster Terhadap Peningkatan Kemampuan Membaca Bahasa Jepang Pada Siswa Kelas XI Bahasa SMAN 113 Jakarta

Student Centered Learning, or hereinafter abbreviated as SCL, is present as a solution to the problem of incompatibility of Teacher Centered Learning learning methods. SCL emphasizes the student-centered learning process, where in this approach, students become active actors in learning activities. The presence of the student-centered learning method is expected to be able to improve the quality and learning abilities of school students. This study aims to determine the effectiveness of learning Japanese with poster media to improve the Japanese reading ability of students in class XI Language at SMAN 113 Jakarta. The research method is student-based learning with the research design being Pre-Experimental Design with the One-Group Pretest-Posttest Design model. The study included 40 students from SMAN 113 Jakarta's class XI Language.Data analysis in the study was carried out in several stages, namely the validity test, reliability test, homogeneity test, normality test, t test, and n gain score. The findings revealed that there was a substantial effect or difference in student-based learning using poster media on enhancing Japanese language acquisition reading ability when compared to before treatment. The N Gain Score test, which uses two statistics, the mean and median, shows that the strategy is extremely effective in developing Japanese language abilities.
International Cooperation of Library and Information Institutions in the Republic of Uzbekistan

Globalization is closely connected with the process of transition to a common information space. Libraries take an active part in this process. They, thanks to the development of cooperation, can use international experience, evaluate their activities and achievements, identify problems, improve the professional level of library specialists and participate in the development of new concepts for the development of library and information business and culture in general, intensify interaction with state and interstate coordination bodies. The article summarizes the experience of organization of work on the development of international cooperation between the libraries of the Republic of Uzbekistan with libraries and leading information, educational and scientific institutions, publishing houses of foreign countries, diplomatic missions, funds, representative offices of international organizations. It includes international document exchange, readers service within the framework of international interlibrary loan; project activities, preparation and holding of international scientific and practical conferences, symposiums, seminars, exhibitions, etc. The main directions of international activities of the National Library of the Republic of Uzbekistan named after A. Navoi and information resource centers of universities are also described. The author comes to the conclusion that for a fruitful solution of problems, it is necessary to create a legal framework, attract grant funds and organize joint commercial international projects.
Financial Innovation and Return on Assets of Listed Deposit Money Banks in Nigeria

The financial performance of the banking sector is of importance not only to the management of the banks, but also to the shareholders and the general stakeholders at large.Investment in innovation without good return on the investment makes the survival of the banks both in the short and in the long run to become difficult.This view was echoed by Amos, Umar, Busari, Ekpe Mary-Jane (2020) when they opined that the financial performance of an organization is essential for its survival both in the short and in the long run.Adigun and Okedigba (2017) submitted that without stable return on assets from the banking sector investments, satisfying the interests of the various stakeholders may become impossible and this is because financial performance is at the core of meeting the needs of these stakeholders.Adigun and Okedigba (2017) went further by positing that without good return on assets by the banking sector, the wealth of the shareholders cannot be maximized and the equity holders will not be able to get any returns on their investments.Hence, the going concern of the banks may become threatened.The banking sector in Nigeria had experienced poor financial performance problems proxy by return on assets (ROA) as far back as the year 1930 during which major banking failures were recorded.The problem of poor return on assets in the Nigeria banking sector resulting in bank failures was brought to a head in 2009 when the joint investigation of the Nigerian Deposit Insurance Corporation and the Central Bank Nigeria into the books of the 25 mega banks revealed that some of the banks were technically insolvent on account of capital inadequancy, poor credit risk management, liquidity and lack of corporate governance occasssioned by insiders' dealings by the management of the banks ( Sanusi, 2009).This investigation led to the taking over of 9 (Nine) banks by the CBN and the suspension of the management of these nine banks ( Adeyemi, 2011).According to Ugoani (2015), all the failed 9 (Nine) banks had exceeded their credit ceilings through unauthorised lending, over exposure to non performing loans, micro-financial credit risk abuses that were estimated to be in excess of N700billion.
Prototype of Integrated National Identity Storage Security System in Indonesia using Blockchain Technology

Approximately 29 institutions in Indonesia issue were identifying numbers, such as ID cards, driving licenses, BPJS, etcetera. In general, the identity storage system is designed with a centralized system and managed by each government agency. However, this system has some disadvantages, like data replication and redundancy. Furthermore, the Indonesian government is now undertaking a program through the Ministry of Home Affairs to use population data for public services by providing access to organizations cooperating for population data use. With a centralized database managed by a single entity, data abuse can occur and rely on third parties, the sole authority of the national identity data. The blockchain-based solution described in this paper to integrate a national identity system can provide the advantages of a population data utilization program. The system designed can facilitate convenience in sharing and updating population data while also ensuring the security and integrity of the population data. The citizens do not have to worry about the possibility of data misuse by user institutions. Blockchain technology offers decentralization through the participation of members across a distributed network. There is no single point of failure, and no single user may alter the transaction record. Our proposed approach could help the government of Indonesia secure citizens' private information and increase transparency in information management.
The Best Malaysian Airline Companies Visualization through Bilingual Twitter Sentiment Analysis: A Machine Learning Classification

Online reviews are crucial for business growth and customer satisfaction. There is no exception for the airlinesâ€™ company, which places third as the biggest contributor to Malaysiaâ€™s Gross Domestic Product. Customer opinions play an important role in maintaining the reputation and improving the quality of service of the airlines. However, there is no specific platform for online review. Most online ratings obtain English, leading to inaccurate results as not all reviews regarding different languages are considered. Airlines currently have no specific platform for online reviews despite being critical for business growth, performance, and customer experience improvement. Hence, this paper proposed implementing a web-based dashboard to visualize the best Malaysian airline companies. The airline companies involved are AirAsia, Malaysia Airlines, and Malindo Air. We designed and developed the proposed study through the bilingual analysis of Twitter sentiment using the NaÃ¯ve Bayes algorithm. NaÃ¯ve Bayes algorithm is a machine learning approach to do classification. The tweets extracted were analyzed as metrics that advance airline companiesâ€™ online presence. Testing phases have shown that the classifier successfully classified tweetsâ€™ sentiment with 93% accuracy for English and 91% for Bahasa. Every feature in the web-based dashboard functions correctly and visualizes a detailed analysis of sentiment. We applied the System Usability Scale to test the studyâ€™s usability and managed to get a score of 94.7%. The acceptability score â€˜acceptableâ€™ result concluded that the study reflects a good solution and can assist anyone in understanding the public views on airline companies in Malaysia.
Professional Competencies of Library Staff Engaged in Information and Analytical Support of Researches

The analysis of professional competencies of information specialists in domestic libraries operating in the research environment is carried out. The research is based on a questionnaire on the relevance of certain groups of professional competencies: background knowledge and skills, knowledge and skills in the field of scholarly communication, “soft” skills. The target group of the survey included library staff engaged in information and analytical support of fundamental researches of the Russian Academy of Sciences. It is revealed that the overwhelming majority of respondents recognize the relevance of the competencies included in the survey for library practice. Based on the respondents’ responses, competencies are divided into two key categories: universal and specialized. More than 60 % of the competence groups in the sections “background knowledge and skills” and “knowledge and skills in the field of scholarly communication” are classified by the majority of respondents as specialized ones. Almost all “soft” skills are classified by the majority of respondents as universal ones. Competence groups classified as “universal” can be used as the basis for the development of a general competence model for scientific library staff working in a research environment. Competence groups classified as “specialized” – are of importance for the development of variable models of competencies for individual functional roles of employees engaged in information and analytical support of scientific research.
Pengaruh Motivasi Guru terhadap Prestasi Belajar Siswa di MI Yadinu Pancor Kopong Lombok Timur

This study aims to determine whether there is an influence of motivation on student achievement at MI Yadinu V Pancor Kopong district. Pringgasela Kab. East Lombok. The population in this study were all students at MI Yadinu V Pancor Kopong, with the number of students being 170 people, with a sample size of 31 people. In this study, data collection was carried out using questionnaires and documentation to determine student achievement. The data then used descriptive analysis and simple regression analysis. Based on the results of the study for the results of the analysis using simple regression, the t-test increased the number of t count by 3,342 &gt; t table = 1,696, this indicates that Ho is rejected and Ha is accepted, that is, good teacher motivation can affect student achievement. Therefore, it is important for teachers to motivate students in learning so that students have broad insight and knowledge, because with motivation, students will be encouraged to continue learning so that it can affect student achievement.
A Lightweight Verifiable Secret Sharing in Internet of Things

Verifiable Secret Sharing (VSS) is a fundamental tool of cryptography and distributed computing in Internet of Things.Since network bandwidth is a scarce resource, minimizing the number of verification data will improve the performance of VSS.Existing VSS schemes, however, face limitations in meeting the number of verification data and energy consumptions for low-end devices, which make their adoption challenging in resource-limited IoTs.To address above limitations, we propose a VSS scheme according to Nyberg's one-way Accumulator for one-way Hash Functions (NAHFs).The proposed VSS has two distinguished features: first, the security of the scheme is based on NAHFs whose computational requirements are the basic criteria for known IoT devices and, second, upon receiving only one verification data, participants can verify the correctness of both their shares and the secret without any communication.Experimental results show that, compared to the Feldman scheme and Rajabi-Eslami scheme, the energy consumption of a participant in the proposed scheme is respectively reduced by at least 24% and 83% for a secret.
Machine Learning, Big Data Analytics and Natural Language Processing Techniques with Application to Social Media Analysis for Energy Communities

Today we are in the era of Big Data, and users’ opinions on certain topics are flooding the web. By analysing tweets collected from communities, social media or even messaging systems, it is possible to obtain some interesting results. This phenomenon is important for knowledge workers, who analyse textual content published on the Internet to obtain information that can be used in decision-making. While the content produced on social networks is invaluable for knowledge extraction, the very process of extracting meaningful knowledge is not trivial and involves data and text mining methodologies and techniques that are by no means simple. The following work proposes a batch analysis of information drawn from Tweets by examining texts of news downloaded at different times of the day related to energy communities, using techniques of Sentiment Analysis, Natural Language Processing, Machine Learning and Big Data Analytics.
Adaptive Particle Swarm Optimization Data Hiding for High Security Secret Image Sharing

The main aim of this work is to improve the security of data hiding for secret image sharing.The privacy and security of digital information have become a primary concern nowadays due to the enormous usage of digital technology.The security and the privacy of users' images are ensured through reversible data hiding techniques.The efficiency of the existing data hiding techniques did not provide optimum performance with multiple end nodes.These issues are solved by using Separable Data Hiding and Adaptive Particle Swarm Optimization (SDHAPSO) algorithm to attain optimal performance.Image encryption, data embedding, data extraction/image recovery are the main phases of the proposed approach.DFT is generally used to extract the transform coefficient matrix from the original image.DFT coefficients are in float format, which assists in transforming the image to integral format using the round function.After obtaining the encrypted image by data-hider, additional data embedding is formulated into high-frequency coefficients.The proposed SDHAPSO is mainly utilized for performance improvement through optimal pixel location selection within the image for secret bits concealment.In addition, the secret data embedding capacity enhancement is focused on image visual quality maintenance.Hence, it is observed from the simulation results that the proposed SDHAPSO technique offers high-level security outcomes with respect to higher PSNR, security level, lesser MSE and higher correlation than existing techniques.Hence, enhanced sensitive information protection is attained, which improves the overall system performance.