Reviewerly/exHarmony huggingface dataset:
Application of improved bp algorithm in handwritten english text recognition system

With the wide application of artificial intelligence technology in intelligent education, intelligent office and other fields, handwritten optical character recognition (OCR) as an important content of intelligent education research has been widely concerned. Traditional character recognition technology is mainly for high-quality printed images, but there are some problems in English handwriting, such as irregular handwriting, overlapping letters, word smearing, etc., which can not achieve the recognition accuracy of printed images. In particular, the lack of database construction for handwriting images with scrawl and daub increases the difficulty of model training, so handwriting recognition is a very challenging task. In view of the existing problems mentioned above and the limitations of traditional handwriting recognition methods, this paper studies the English handwriting recognition method based on deep learning technology, and realizes the English handwriting image detection and recognition system on this basis. The main tasks of this paper are as follows: 1. The database of English handwriting image is established, including neat, scrawl, neat and smeared and scrawl and smeared. Label information is assigned to each type of data, and SVM classifier is trained to classify new samples using this database. In order to reduce the interference of smear area and background information on the character recognition model, the image is preprocessed with smear block removal, gray scale and tilt correction, and the processing results are used as the input of the subsequent detection and recognition model. 2. A convolutional cyclic neural network based on cross-channel and cross-space attention mechanism is proposed. The convolutional neural network is used to extract local feature information and cross-channel and cross-space attention mechanisms are introduced to reduce the loss of key features. At the same time, bidirectional recurrent neural network is used to capture the context dependence of characters and obtain the word order information of English script. 3. An English handwritten recognition method based on Semantic Reasoning Networks (SRN) and CCSACRNN (SNCN) is proposed.
The Software Engineering Evolution: A look through 11 years

Software Engineering has become a transversal discipline towards all areas of knowledge that result in or intervene in the development of software products and/or services. Therefore, this article analyzes the evolution of contributions where Software Engineering has had an impact in various emerging areas and can support to improve the quality and security in the development of solutions. For this, the activities indicated by the systematic mapping are developed to carry out a review of the articles that have been accepted and presented at the CIMPS congress over 11 years, which are indexed in the IEEE Xplore and some of which have been invited to extend its original version and be published in the RISTI Journal.
Implementation of Azure DevOps to automate the processes of the ISO/IEC 29110 standard a Case Study

DevOps, a combination of the development and operations of the term, is the union of people, processes, and technology to offer better and more reliable products. This article shows how the adoption of DevOps allows the automation of the Project management and software Implementation processes that contain the ISO/IEC 29110 standard through a case study in the Software Development Center (CEDESOFT) of the Institute Technological Superior of Nochistlán. The results were encouraging, it was possible to automate 78% of the products of the standar processes implemented in CEDESOFT.
Database Modeling for the Cloud: A Systematic Review of the Literature

This article addresses the problem of DB modeling in the emerging paradigm known as cloud computing. The study uses an ad hoc methodology to carry out Systematic Reviews in Software Engineering. The objective was to analyze primary studies carried out in the last decade around cloud computing, in particular, to synthesize knowledge about techniques, procedures and practices for data modeling, as well as quality criteria commonly used in systems that use this computational model. The findings allow to identity as main techniques or procedures: Data Encryption, Fragmentation, Load Balancing, among others; Likewise, the following could be identified as quality criteria: Security, Availability, Scalability, Elasticity, Performance.
Improvement Findings in the Implementation of Software Tests based on theISO/IEC 29110 Standard: Case Study

Currently, a competitive advantage in organizations that develop software productsand/or services is to guarantee their quality. Therefore, this market demands the reduction of errors or defects in the delivered products. This context requires organizations to increase quality, which does not differ in the so-called Very Small Entities. Therefore, it is necessary for them to change their orientation towards software testing and consider a necessary testing process to support the quality of their products. This article presents improvement findings identified in the implementation of software tests based on the ISO/IEC 29110 standard. To achieve this, a test subprocess proposal and a case study are shown that compare the documentation presented by a Mexican company for obtain your certification in this standard.
Challenges toward teaching international standards in higher education institutions

Today the need for software to solve problems in different industrial domains has become more evident. This need brings an excellent opportunity for software development organizations (SDOs) and a great responsibility to deliver software with the quality required by the customer. In this context, using quality standards in SDOs is an increasingly evident need. However, the implementation of standards is more difficult as smaller the SDO is (e.g., very small entities) due to the lack of experience and dedicated resources for this purpose. Among the characteristics that hinder the implementation of standards, this article highlights the lack of engineers with the skills required to work under international standards. This article shows a study of a sample of 30 professors to identify the challenges they face in teaching standards in higher education institutions. The results of this research pretend to support the development of resources and strategies that promote the teaching of standards as a fundamental part of careers related to software development.
Creation of serverless applications in the cloud

Serverless computing has gained much importance in the last decade, offering features such as cost reduction, low latency, scalability, and avoiding server administration [1]. Serverless computing was introduced in 2014 by Amazon with lambdas. Later it was adopted by other providers [2]. This model allows developers to focus on the application logic, because a traditional architecture contains a server as a monolithic system, while serverless works by events being different pieces of software working independently. This article presents the advantages and disadvantages of working with a cloud server from the perspective of quality development.
Collaborative Filtering for Mobile Application Recommendation with Implicit Feedback

This paper introduces a novel dataset regarding the installation of mobile applications in users devices, and bench-marks multiple well-established collaborative filtering techniques, leveraging on the user implicit feedback extracted from the data. Our experiments use 3 snapshots provided by Aptoide, one of the leading mobile application stores. These snapshots provide information about the installed applications for more than 4 million users in total. Such data allow us to infer the users activity over time, which corresponds to an implicit measure of interest in a certain application, as we consider that installs reflect a positive user opinion on an app, and, inversely, uninstalls reflect a negative user opinion. Since recommendation systems usually use explicit rating data, we have filtered and transformed the existing data into binary ratings. We have trained several recommendation models, using the Surprise Python scikit, com-paring baseline algorithms to neighborhood-based and matrix factorization methods. Our evaluation shows that SVD-based and KNN-based methods achieve good performance scores while being computationally efficient, suggesting that they are suitable for recommendation in this novel dataset.
DETERMINING THE LEVEL OF MOTIVATION FOR TEACHING PHYSICS

This article discusses the methodology for diagnosing the level of motivation for teaching physics. Motivation is presented as one of the main criteria for the success of training. Examples of methods for assessing the level of mo- tivation for teaching physics are given.
PSYCHOLOGICAL FOUNDATIONS OF PROSPECTIVE PHILOLOGISTS’ TRANSLATION COMPETENCE ASSESSMENT

The presented article is an attempt to analyse and bring together all the psychological factors, which, on the one hand, should be considered in the process of the assessment arrangement and implementation at university level in the translation classroom, and may contribute greatly to its efficiency in terms of informativity, objectivity and formative effect -on the other.Psychological foundations serve an important consolidating and integrating component that substantiates the key didactic and methodologic assessment provisions combining them with the relevant linguistic and translation aspects.To gain the declared aim, the author studies in details and interprets from the viewpoint of translation didactics and assessment such aspects of translation psychology as cognition, emotions and personality.Cognition appears to be one of the central processes to both translation performance and training.It rests on such psychological mechanisms as the students' attention, perception, memory of different types, creativity, problem-solving and mental faculty.The typical patterns, in which prospective philologists apply and combine them in the process of translation training by doing, frame their individual dominating learning styles that should be taken into account in the process of selection and design of translation competence assessment procedures and tools.Moreover, these patterns determine the students' individual translation styles, which are shaped in the process of learning and training and indicate their professional expertise.Affective or emotional factors deal with the students' motivation, attitudes and emotional intelligence.The ways to form and maintain intrinsic motivation to translation performance in the process of assessment are suggested.Attitudes and emotional intelligence require further investigation and research.While translator's cognitive functions affect its process, personality traits have influence on the translation product.The concepts of students' self-efficacy, explanatory style, locus of control and autonomy are also of great importance and should be taken into account in translation competence assessment.Finally, the concepts of reciprocal determination and zone of proximal development contribute greatly to the development of self-, peer-and group assessment procedures as well as the provisions of formative assessment accompanied with the scaffolding and feedback of different types and modes.
Intercultural Shock in Japanese Language Learning at Bali Tourism Polytechnic

The purpose of this study was to analyze the errors of students in understanding the use of Japanese according to the native cultural context of the speakers. The fault findings were analyzed from the point of view of Japanese culture and Indonesian culture. Common student errors include (1) the inappropriate application of ojigi (bowing), (2) the application of doozo speech (please), shitsurei shimasu (excuse me), sumimasen (sorry, excuse me, thank you) (2) MD sentence structure where very different from the Indonesian sentence structure, and several other errors. By looking at these misunderstandings, the understanding of Japanese cultural literacy must be taught to students. Learners must have intercultural competence so that they can communicate according to the culture of the origin of the foreign language. Several ways have been done by lecturers to improve students' cultural literacy towards understanding the use of Japanese. These methods are (1) role-playing with situations in the workplace, (2) watching videos or pictures that show the real life of Japanese people, (3) with students watching Japanese dramas, then discussing the contents of the drama.
Evaluation of Safe Reinforcement Learning with CoMirror Algorithm in a Non-Markovian Reward Problem

In reinforcement learning, an agent in an environment improves the skill depending on a reward, which is the feedback from an environment. For practical, reinforcement learning has several important challenges. First, reinforcement learning algorithms often use assumptions for an environment such as Markov decision processes; however, the environment in the real world often cannot be represented by these assumptions. Especially we focus on the environment with non-Markovian rewards, which allows the reward to depend on past experiences. To handle non-Markovian rewards, researchers have used a reward machine, which decomposes the original task into the sub-tasks. In those works, they assume that the sub-tasks are usually represented by a Markov decision process. Second, safety is also one of the challenges in reinforcement learning. G-CoMDS is a safe reinforcement learning algorithm based on CoMirror algorithm, an algorithm for constrained optimization problems. We have developed G-CoMDS algorithm to learn safely under environments without a Markov decision process. Therefore, the promising approach in complex situations would be decomposing the original task as the reward machine does, then solving the sub-tasks with G-CoMDS. In this paper, we provide additional experimental results and discussions of G-CoMDS, as a preliminary step of combining G-CoMDS with a reward machine. We evaluate G-CoMDS and existing reinforcement learning algorithm in the mobile robot simulation with a kind of non-Markovian rewards. The experimental result shows that G-CoMDS has the effect of suppressing the cost spike and slightly exceeds the performance of the existing safe reinforcement learning algorithm.
Tahapan pengembangan koleksi di Perpustakaan Umum Daerah Kabupaten Sumenep pada masa pandemi

The Covid-19 pandemic has impacted the collection development activities in the Regional Public Library of Sumenep Regency. The pandemic has allowed libraries to improve their collection development activities, which were not previously a priority. This study aims to describe the existing activities of the stages of developing the collection in the Sumenep Regional Public Library during the pandemic. The research method used was descriptive qualitative, with the research subject being a librarian of the Sumenep Regional Public Library. Data collection was obtained through observation, interviews, and a literature review. Study results found that firstly, community analysis was conducted by distributing questionnaires links through Instagram accounts and the official website. Second, the collection development policy needed to be formally and officially formulated. Third, collection selection was carried out with a conformarian understanding, which is a balance between quality and interest in books. At this stage, the selection was carried out based on the data results from the step previously. Fourth, the procurement of library materials was hampered during the pandemic due to budget cuts for procurement allocations and the provision of digital libraries. Fifth, weeding was carried out more efficiently and focused during the pandemic. The final stage was collection evaluation, and it was found that the Sumenep Public Library itself did not carry out routine evaluations of collection development. It found several obstacles, namely budget cuts due to being diverted to Covid-19 funds, lacking human resources in the IT field, and lacking a collection development policy formulation. In conclusion, the Sumenep Public Library still needs more collection development during the pandemic.
Development and application effect of enhanced milieu teaching program using augmented reality -Focusing on infants from multicultural families who are late talkers-

본 연구는 증강현실을 활용한 강화된 환경중심 언어중재 프로그램을 개발하고, 이를 말늦은 다문화가정 영아에게 적용하여 언어발달(어휘력, 언어능력, 의사소통기능)에 미치는 효과를 검증하고자 하였다. 이에 관련 문헌 및 선행연구들을 분석하고 보육현장 교직원의 요구조사를 기초로 프로그램을 구성하였다. 이후 관련 분야의 전문가 협의를 통해 최종 프로그램을 확정하였다. 본 연구에서 개발된 프로그램의 효과를 측정하기 위해 S시 G구에 소재한 어린이집에 재원하고 있는 만 2세 영아 총 30명을 대상으로 실험을 실시하였다. 이중 10명은 말늦은 다문화가정의 영아(실험집단)이며 10명은 말늦음이 없는 다문화가정의 영아(비교집단 1) 그리고 단일문화가정의 영아(비교집단 2)이다. 연구기간은 주 2회, 8주간으로 총 16회기이다. 연구도구는 수용·표현 어휘력검사(REVT)와 영·유아 언어발달 검사도구(SELSI)이며 통계방법은 Kruskal-Wallis, Mann-Whitney U 검정을 실시한 후, 유의 수준은 Bonferroni correction을 통해 검증하였다. 그 결과는 다음과 같다. 첫째, 실험집단이 비교집단 1, 2보다 유의한 수용어휘 변화량을 나타냈다. 둘째, 실험집단이 비교집단 1, 2보다 유의한 언어능력 변화량을 나타냈다. 셋째, 교사들의 저널을 바탕으로, 다양한 의사소통 기능을 습득하였음이 밝혀졌다. 이와 같은 결과는 다문화가정이 급증하고 있는 현 대한민국의 보육현장에서 증강현실을 활용한 강화된 환경중심 프로그램이 말늦은 다문화가정 영아의 언어발달을 향상시킬 수 있음을 밝혀냈다는 점에서 의미를 갖는다.The purpose of this study is to develop an enhanced milieu teaching program using augmented reality and apply it to infants from multicultural families who are late talkers to verify its effect on their language development(vocabulary, language ability, and communication function). The program was constructed based on the analysis of relevant literature and prior studies and the survey of the needs of staff at the childcare center. After that, the final program was confirmed through consultation with experts in related fields. To measure the effectiveness of the program developed in this study, a total of 30 2-year-old infants in a daycare center in Ward G of S City were subjected to an experiment. Of these, 10 are infants from multicultural families who are late talkers(experimental group), 10 are infants from multicultural families without late speech (comparison group 1) and infants from monocultural families (comparison group 2). The study period is 16 sessions twice a week for 8 weeks. The research tools are the Receptive and Expressive Vocabulary Test(REVT) and Sequenced Language Scale for Infants(SELSI), and the statistical methods were Kruskal-Wallis and Mann-Whitney U tests, and the significance level was verified through Bonferroni correction. The results are as follows: First, the experimental group showed a more significant receptive vocabulary change than the comparison groups 1 and 2. Second, the experimental group showed a more significant change in language competence than the comparison groups 1 and 2. Third, based on teachers' journals, it was found that they acquired various communication functions. These results are significant in that enhanced milieu teaching program using augmented reality in Korean childcare center, where multicultural families who are late talkers are rapidly increasing, can improve language development.
The Optimization Path of Innovation Talents' Cultivation Mode in Colleges and Universities in the New Era

In the context of China's new era, social development has created some new demands for innovative talents.Therefore, it is of great theoretical and practical significance for China's colleges and universities to optimize the extant cultivation mode and thus propose a talent cultivation philosophy that could meet the needs of the new era.To this end, colleges and universities should develop forward-looking explorations from the aspects of optimizing majors' setting, improving the curriculum system, and strengthening digital education.Such meaningful measures will provide reference for China to cultivate high-level talents and build a reasonable talent team.
ISSUE 23 (8) ACTUAL ISSUES OF MODERN SCIENCE

Stakeholders' trust in the global performance information of companies applying integrated reporting: pros and cons
An Extreme Learning Machine Model for Venue Presence Detection

Value-added services allocation or denial in a particular venue for a given user is of high significance. It will get more prominent as we move to 5G and 6G networks’ roll out, as we will get other means to have better aids. In this paper, Extreme Learning Machines (ELM) model performance is compared with Support Vector Machines (SVM), K-Nearest Neighbors (KNN), Logistic Regression (LR), and Random Forest (RF) models for venue presence detection. The input data is collected from the number of UEs (User Equipment) simultaneously placed inside and outside a venue and kept for longer duration. UEs logs essential data such as received signal reference power for serving cells and neighbor candidate cells, along with other network information. Our findings show that ELM model performs above 95% accuracy for a count of zero, one, and two neighbors. The results get better as we consider the collected data from more neighbors’ cells in our ELM computation.
Hand-Crafted Content vs. Procedural Content

There are many popular games that place the player in sprawling worlds. Examples of this are World of Warcraft and Red Dead Redemption. An interesting thing about these games is their hand-crafted content. A team of designers have worked to create every hill and valley. A computer made none of it via an algorithm.
Linkage between Supply Chain Management Practice and Job Satisfaction, Delegation of Authority to Improve Corporate Performance

The first goal of this study to verify the hypothesis that Supply Chain Management practice affects positively the corporate performances of companies in Korea as the samples of the study. The second goal is to confirm further hypotheses which joba satisfaction and delegation of authority show positive moderating effect on the relationship between Supply Chain Management practice capacity and the performance respectively. To accomplish these goals, the authors conducted a series of surveys and empirical analyses utilizing reliability analysis, validity check, regression model analysis and moderate regression model analysis.&#x0D; Those analyses brought the result that Supply Chain Management practice has positive effect on the performance in Korean sample companies. Further research analyses showed the results that delegation of authority demonstrates positive moderating effect on relationship between Supply Chain Management practice and the performances, while job satisfaction does not. lt implies an managerial implication that implementing investments on and making efforts on Supply Chain Management practice and delegation of authority concurrently can provide companies with more improvement in the performance because of a synergistic effect between the two. Moreover, one possible reason that job satisfaction does not demonstrates synergetic effect can be explained by the characteristic that job satisfaction have to be sought over long, not short, time span to expect improvements in performance in connection with other types of managerial efforts or investments.