Reviewerly/exHarmony huggingface dataset:
Correlation between the individual’s experience of well-being and social evaluation

Aim. The aim of this paper is to define the correlation between social evaluation and personal well-being. Methods. The study involved the citizens of Chernihiv (average age – 31.5 years old): 91 people in total, 37 men and 54 women. The following methods were used: the scale of satisfaction with life scale by Diener, as adapted by Leontiev and Osin (2008); questionnaire of parameters of subjective social well-being by Danylchenko (2015); subjective life satisfaction scale by Lybyna (2008), questionnaire on the peculiarities of evaluation by other people by Danylchenko (2019). Results and conclusion. In Ukrainian society, the most important reference groups are parents and a spouse, while friends and colleagues play a comparatively smaller role. All these groups are more likely to give positive and neutral social evaluations. However, negative evaluations are more likely to come from colleagues and friends, and positive – from family. There are differences in indicators of subjective well-being, social acceptance (as a measure of social well-being) and competence between people who are assessed predominantly positively and predominantly negatively. Subjective well-being is reduced reproaches from reference groups. Praise contributes to the enhancement of subjective social well-being Comparison with other people and the existence of a role model reduces psychological well-being. The filter for the perception of positive and negative evaluations from the social environment is a person’s self-acceptance.
Synthesis of a mobile robot spatial stabilization system based on machine learning control by symbolic regression

The spatial stabilization system synthesis problem of the robot is considered. The historical overview of methods and approaches for solving the problem of control synthesis is given. It is shown that the control synthesis problem is the most important task in the field of control, for which there are no universal numerical methods for solving it. As one of the ways to solve this problem, it is proposed to use the method of machine learning based on the application of modern symbolic regression methods. This allows you to build universal algorithms for solving control synthesis problems. Several most promising symbolic regression methods are considered for application in control tasks. The formal statement of the control synthesis problem for its numerical solution is given. Examples of solving problems of synthesis of system of spatial stabilization of mobile robot by method of network operator and variation Cartesian genetic programming are given. The problem required finding one nonlinear feedback function to move the robot from thirty initial conditions to one terminal point. Mathematical records of the obtained control functions are given. Results of simulation of control systems obtained by symbolic regression methods are given.
Covid-19 Pandemic; Is This an Opportunity for an Educational Big-Bang?

This article intends to investigate the impact of the pandemic on the Greek educational community and the opportunity to review the existing educational system. It consists of 4 main axes. The first part presents the pandemic chronicle to the educational community, the second analyses the challenges that the members of the educational community were called to face, the third analyses the pandemic as an opportunity to review the existing educational system, while the latter summarizes the main implications of the above. There are several reasons to review the Greek education system, most importantly the unequal provision of learning opportunities to students from low socio-economic backgrounds. The article comes to raise the question of whether the pandemic is an opportunity to review the educational system and provide equal learning opportunities for all. This article came to highlight the role of participants in the educational process and the challenges they faced with due to emergency.
Development of QR-code based Interactive Dynamic Billboard System with Motion Detection

This paper presents the design and implementation of an intelligent Dynamic electronic billboard based on QR-Code (Quick Response Code) that can be used in a variety of interior locations such as offices, malls, universities, supermarkets, and other similar establishments.A screen display, a sensor such as a PIR motion sensor, and a QR-Code reader are all included in the system.Once scanned, the QR-Code should provide rapid access to information.While the motion sensor detects a nearby person and instructs the system to display the QR-Code on the billboard for the person to scan, the display device continues to display the company's products or announcements.The QR-Code contains Uniform Resource Locators (URLs) in our prototype, and once scanned, a user follows the link and begins exploring what he or she needs to see on a display device based on what the companies sell or communicate with the general public.As a result, the system allows users to interact with it by allowing them to search for what they need using QR-Codes.The Raspberry Pi houses the sensors and display device, allowing the system to relay sensory data to a web server using the HTTP (Hypertext Transfer Protocol) protocol.Because of its low cost, efficiency, and ease of use, the designed system is beneficial.
Image Processing Design and Algorithm Research Based on Cloud Computing

Image processing technology is a popular practical technology in the computer field and has important research value for signal information processing. This article is aimed at studying the design and algorithm of image processing under cloud computing technology. This paper proposes cloud computing technology and image processing algorithms for image data processing. Among them, the material structure and performance of the system can choose a verification algorithm to achieve the final operation. Moreover, let us start with the image editing features. This article isolates software and hardware that function rationally. On this basis, the structure of a real-time image processing system based on SOPC technology is built and the corresponding functional receiving unit is designed for real-time image storage, editing, and viewing. Studies have shown that the design of an image processing system based on cloud computing has increased the speed of image data processing by 14%. Compared with other algorithms, this image processing algorithm has great advantages in image compression and image restoration.
Evaluation of taxonomic and neural embedding methods for calculating semantic similarity

Modelling semantic similarity plays a fundamental role in lexical semantic applications. A natural way of calculating semantic similarity is to access handcrafted semantic networks, but similarity prediction can also be anticipated in a distributional vector space. Similarity calculation continues to be a challenging task, even with the latest breakthroughs in deep neural language models. We first examined popular methodologies in measuring taxonomic similarity, including edge-counting that solely employs semantic relations in a taxonomy, as well as the complex methods that estimate concept specificity. We further extrapolated three weighting factors in modelling taxonomic similarity. To study the distinct mechanisms between taxonomic and distributional similarity measures, we ran head-to-head comparisons of each measure with human similarity judgements from the perspectives of word frequency, polysemy degree and similarity intensity. Our findings suggest that without fine-tuning the uniform distance, taxonomic similarity measures can depend on the shortest path length as a prime factor to predict semantic similarity; in contrast to distributional semantics, edge-counting is free from sense distribution bias in use and can measure word similarity both literally and metaphorically; the synergy of retrofitting neural embeddings with concept relations in similarity prediction may indicate a new trend to leverage knowledge bases on transfer learning. It appears that a large gap still exists on computing semantic similarity among different ranges of word frequency, polysemous degree and similarity intensity.
A Systematic Mapping Study of Software Usability Studies

Among software quality attributes "software usability" is considered as one of the vital factors in software engineering literature.Software usability is the ability for users to generally understand, use, and learn a software with ease.Due to the importance of usability in software quality, a considerable amount of literature is published in the past decade.Few review and survey studies are also published to critically review the existing literature in the domain.However, there is limited research covering systematic mapping study of software usability.Mapping studies help in analyzing the general trends and research productivity in a research area.To fill this gap, this work critically examines the overall research productivity, demographics, trends, and challenges of software usability.The objective is to classify the current contributions and trends in the area of software usability.We retrieved 9,874 research articles from six research databases and 62 works are selected as primary studies using an evidence-based approach.The result of this mapping study shows that software usability is an active research area, with a promising number of works published in the last decade (2011 -2020).We identified that the current literature spans over multiple article classes of which investigative papers, model proposals and evaluation papers are the most frequently published article types.We found experiments and theoretical validations to be the most common validation techniques.In terms of application domains; web, software development and mobile applications are the most frequent domains where usability studies are conducted.We identified that future usability studies should focus more on field studies as well as on the usability testing of scientific software packages.It will be of importance to consider ethical issues in usability testing as well.
THE CORRELATION BETWEEN STUDENTS’ READING HABIT AND THEIR WRITING ABILITY

This research was a correlation study which aims to determine the correlation between students’ reading habit and their writing ability in descriptive text. There were two variables in this study, reading habit and writing ability. The population of the study were the X grade students of SMAN 2 Batusangkar in the academic year 2020/2021. The sample technique in this research used cluster random sampling from 356 students selected for class X MIPA 2 with 36 students. This study used the Product Moment formula to determine the coefficient correlation and t-test to found out the significance correlation between students’ reading habit (X) and their writing ability (Y). The result showed that the t-observed was (4.01) and t-table was (1.70) in significance level of 5% (0,005), so t-observed was bigger than t-table then Ha was accepted and Ho was rejected. Thus, it can be concluded that there was a correlation between students’ reading habit and their writing ability in descriptive text at the X grade of SMAN 2 Batusangkar.
Integrating ICT Learning Model and the Use of AI to Enhance Students’ Writing Quality

ICT literacy is essential since digital tools are used almost in every aspect of life, especially in this era where people count on the tools to make them stay at home but still interconnected with people.These tools are various, yet not all students have used them to support their academic needs.This study is aimed at improving students' writing quality by integrating ICT learning model and the use of AI in the writing class.A learning model usually implemented for teaching ICT constructed by UNESCO is employed.It is also completed by the last step which is proofreading.The proofreading step is done by using the help of artificial intelligence.The method employed is Research and Development.The study is started by identifying instructional goals, conducting a goal analysis, identifying entry behavior characteristics, formulating performance objective, developing criteria-referenced test items, developing instructional strategy, developing and selecting instructional materials, designing and conducting formative evaluation, and doing revision.It is found that the learning model of ICT and the use of AI significantly help the students enhance their essay writing quality, which can be seen from the result of their writing score in the formative tests.It can be seen that students' writing skill is improved by the help of ICT learning model and the use of AI.
INVESTMENT ARTIFICIAL INTELLIGENCE IN DECISION-MAKING PROCESSES IN THE JORDANIAN MINISTRY OF INTERIOR

This research paper is part of a larger study on Jordan's artificial intelligence strategy and its role in changing government service delivery mechanisms, leading to a comprehensive data analysis using the most up-to-date artificial intelligence techniques and their applications in various fields of work The purpose of the study was to discuss Jordan's decision-making process and the application of artificial intelligence. The issue was presented in two demands using the descriptive-analytical approach. The conversations revealed that Jordan's artificial intelligence policy aims to reduce accidents and operational expenses in various key areas of the country, including transportation. Reduce the proportion of chronic and serious diseases in the health sector. Facilities management and smart consumption in the energy sector. The education sector, by lowering costs and encouraging the desire to learn, and the technology sector, by improving the rate of production and assisting in public investment. By increasing the proportion of forestation and planting appropriate plants, the environment sector will benefit. The sector of Transportation Develops preventative techniques, such as the ability to foresee accidents and traffic congestion, as well as better traffic policies. The presence of infrastructure and knowledge in the success of artificial intelligence recruitment in Jordan's Ministry of Interior.
Development of Reading Comprehension Ability Assessment for Students

Reading Skills courses for students in Higher Education, especially in the Indonesian Language Study Program at the University of Muhammadiyah Lampung are not easy to achieve in learning indicators.The measuring instrument used for the assessment is the manual assessment and it is not effective yet.The alternative to seeing the achievement of language learning outcomes is to use the right measuring instrument, namely the assessment instrument (assessment) of reading comprehension.This assessment is developed based on the concept / theory of reading comprehension.The objective of this study is: to develop an assessment instrument to measure students' reading comprehension skills for Indonesian Language Education students.The data collecting method is done through the Borg & Gall development method with five stages, 1) research and information collecting, 2) planning, 3) develop preliminary form of product, 4) preliminary field testing, and 5) final product.This research has limitations, namely the product in the form of an instrument as a new assessment tool until the validity test stage and the research can be developed again to be broader and more perfect.
Systematic literature review on blockchain adoption in banking

Purpose-Blockchain has emerged as high impact disruptive technology and surpassed most of the aggressive predictions in banking and finance domain.The changing landscape in digital banking has forced the entire banking sector to look at blockchain technology as future of transactions.Blockchain is disrupting the banking industry and contributing to the increased efficiency and speed in banking.However, there exists a gap in research and development into block-chained processes in banking from an academic perspective, and this paper ia an attempt to put together the research work done in the field of blockchain adoption in banking.Methodology-This paper's literature review process follows common and established guidelines (Levy and Ellis, 2006; Okoli, 2015; von Brocke et al., 2009; Webster and Watson, 2002) and is summarized thoroughly.We considered the IS literature in both the blockchain and the banking context.In the first step, we conduct a separate review on both streams of literature to derive a general understanding of their current state of development.In the second step, we then conflate the relevant literature and discuss it within a joint analytical framework.In doing so, we identify paths for future research and discuss the potential of blockchain technology for banking and finance sector.Findings-In this paper we discuss the impact that blockchain will have on banking in future and show the increasing importance of distributed ledger based transactions for the banking industry.Finally, this paper brings together the research work published in several reputed databases, in hope of motivating more active engagement by academics, researchers and bankers alike.A comprehensive review of the blockchain adoption in banking to date and across the geographic areas is presented as a result of comprehensive review of literature. Conclusion-The collaboration of blockchain and banking is not very old, comparatively novice and we have tried to include all the significant studies till date across various databases of research.
The influence of teacher librarians' personal attributes and relationships with the school community in developing a school library programme

The ability of teacher librarians worldwide to develop and maintain school library programmes has been severely constrained by a number of factors ranging from inadequate budgetary allocations, lack of support from principals and other key stakeholders such as Ministry of Education personnel. However, even with limited funding and support, some teacher librarians have used ingenious strategies to develop and maintain their library programmes. This literature review synthesizes international research obtained from peer-reviewed journals, theses and professional papers on the personal attributes that a teacher librarian should possess in order to influence the development of a school library programme and the types of relationships the teacher librarian need to have with key stakeholders to be successful. The literature examined spanned a time period mostly from 2000-2018. The literature review found that leadership, collaboration, communication and interpersonal skills were the dominant skills a teacher librarian should possess in order to develop and maintain a school library programme alongside a good relationship with the school community.
AN ANALYSIS OF TRANSITIVITY SYSTEM IN MEMOIRS WRITTEN BY EFL STUDENTS

Although there have been many studies about the language style of the writer in many kinds of writing, but there are few studies found in analyzing language style towards EFL students’ writing. This study is intended to investigate stylistics of EFL students writing. The purpose of this study is to identify the linguistic choices by investigating transitivity system of process types, participants, and circumtantial elements that characterize EFL student’s writing in memoirs. The analysis in this study is based on Halliday and Matthiessen’s (2004) theory of ideational metafunction. This research used descriptive method. The data consist of 950 clauses that were obtained from 15 texts of memoir written by English Department student of State University of Padang in West Sumatera. The finding shows the students’ texts consist of processes, participants and circumstantial elements which fulfill the linguistic features in carrying meaning. The study has found that material process (338 data) is placed as the most dominant process types found in student’s writing. Then participant of human (916 data) is found as the most dominant one in student’s writing. And for circumstantial element, the circumstance of location (183) is found with the highest percentage in student’s memoir.
On the Statistical Analysis of ZUC, Espresso and Grain v1

A stream cipher generates long keystream to be XORed with plaintext to produce ciphertext. A stream cipher is said to be secure if the keystream that it produces is consistently random. One of the ways by which we can analyze stream ciphers is by testing randomness of the keystream. The statistical tests mainly try to find if any output keystream leaks any information about the secret key or the cipher’s internal state and also check the randomness of the keystream. We have applied these tests to different keystreams generated by ZUC, Espresso and Grain v1 stream ciphers to check for any weaknesses. We have also proposed four new statistical tests to analyze the internal state when the hamming weight of key and IV used is very high or low. Out of these four tests, Grain v1 fails the last test i.e. internal state correlation using high hamming weight IV.
Growth of small and medium-sized agricultural enterprises and export market integration by smallholder farmers

&#x0D; &#x0D; &#x0D; Small and medium-sized enterprise (SMEs) growth and survival constitute opportunities for the smallholders to become integrated into the export market. Smallholders can gain additional incomes from their transactions with SMEs and in turn, poverty problem could be alleviated. This article aims to better understand how export SMEs’ growth and survival strengthens smallholders’ market integration development and livelihood improvement. We collected data from 52 SMEs involved in the cassava and shea butter sectors in Benin. Interviews were organized, based on the need of value market access, with cassava producers in the Center Region, and women collecting and transforming shea nuts into butter in the Center and Northern Regions. When developing the measurement instrument, its validity and trustworthiness are concerned. SPSS was used for descriptive statistics and R was used for Multiple Correspondence Factor Analysis. Results suggest that 96% of SMEs exporting firms perceived exporting as profitable and resources generation tool. 95% of smallholders appreciate SMEs as value added markets for their products. SMEs are institutional context for smallholders exchange experience in value added process, customers’ needs and expectations satisfaction. They earn more profits from their selling when export SMEs grow and survive. Growth and survival are explained by export selling, share of exporting in total selling, satisfaction of Teklehaimanot exporting, manager perception of success and profitability and export profit.&#x0D; &#x0D; &#x0D;
The study of the awareness and satisfaction among consumers towards Chatbot technology for online purchases in Mumbai city

This paper discusses about the Chatbot artificial intelligence interaction that has been adopted by most of the service sector in India.Initially Chatbot was considered as niche technology, but today Chatbot has been increasingly used in the main stream business.The retail sector also is using this technology to actively engage consumer 24/7.Chat bot enable retail business to provide superior customer service by driving customer engagement without human intervention.The objectives of the study was to understand the concept of Chatbot technology and its application in Indian retail companies.In order to understand the awareness and satisfaction level of customers using Chatbot for their retail queries the study has also focussed on primary data of 81 respondents who are using Chatbot to raise their queries and it was found that many of the respondents were aware of Chatbot technology and were satisfied with its usage.Therefore this research study is an attempt to understand the growing importance and adoption of Chatbot technology in India as a better customer interface.