Reviewerly/exHarmony huggingface dataset:
A Case Study on the Combination Type and Type of Share Space in the Living SOC Complexity

Purpose: In the currently distributed living SOC complex project, only brief guidelines for the complex type or business type are presented, but there are no set standards or guidelines, and related legal systems are not established. This study aims to provide basic data for future living SOC complexity utilization plans and guidelines by classifying the complexity method and space composition of each functional facility, focusing on the living SOC complexity cases built as a result of the complex project so far. Method: This study established the concept of justice through a theoretical consideration of the living SOC complex project, and investigated and analyzed the current status of the ongoing living SOC complex project. Among the cases of the Living SOC complex project, a total of 11 cases completed so far in 2022 were investigated, and the combination method and shared space sharing method between each functional facility were classified by type and its characteristics were examined. Result: This study is to categorize and analyze the spatial composition for the smooth distribution and diffusion of Living SOC complex projects. Since the criteria for space sharing classified in the complex type are unclear, a solution is needed, and the distribution by facility composition and region are imbalanced, indicating that the original purpose was not well maintained by focusing only on supply and diffusion. This study investigates the completion of the living SOC complex project, classifies the combination type and shared space sharing type, and the results derived from the analysis of each type can be organized based on this study and used as basic data.
Educators' Perceptions Towards Mobile Assisted Language Learning (MALL)

This paper presents the findings of a case study about university teachers' perceptions regarding Mobile assisted language learning (MALL) and the fences associated with it. Five English language teachers from public sector universities were surveyed respondents for this study project. Researchers used the purposive technique for data collection. This technique is the fittest research method since participants were drawn on specific criteria of only English language educators. The research mode was qualitative, and the data collection instrument was semi-structured interviews. The content analysis approach was employed for data analysis purposes.Miles and Huber man's (1994) qualitative data analysis method was employed. Results exhibited that mobile-assisted language learning played an indispensable role in English language learning. Nonetheless, a few barriers influenced it, i.e., 'teachers' inadequate knowledge, absence of devices, expensive internet packages, electricity load shedding, poor network coverage, de-motivation, boredom, small screen,sluggish internet speed, and data storage deficiency.
Mobile Payment Transaction Model with Robust Security in the NFC-HCE Ecosystem with Secure Elements on Smartphones

The Near Field Communication embedded (NFCembedded) smartphone consists of two ecosystems, namely Near Field Communication Subscriber Identity Module Secure Element (NFC-SIM-SE) and Near Field Communication Host Card Emulation (NFC-HCE).NFC-SIM-SE places secure elements in smartphones, while NFC-HCE places secure elements in the cloud.In terms of security, the location of secure elements in the cloud is one of the weaknesses of NFC-HCE.The APL-SE transaction model is developed as a solution to improve transaction security with NFC-enabled mobile.This model moves the secure elements of the NFC-HCE ecosystem from the cloud to the smartphone so that when the transaction is made, the smartphone does not communicate with the outside network to access the secure element.The APL-SE transaction model is tested using dummy data to calculate the processing time measurements for each step.The model is also tested for the encryption process.The encrypted data is compared with the original data, then the randomness is calculated.This transaction model is also tested by looking at the data randomness, which shows that the encrypted data is declared random.Random data increases data security.The transaction model test shows that the transaction runs well because the encrypted data is proven random, and the execution time is 1,074 ms.The time of 1,074 ms is far below an attacker's time to decipher the encrypted data.Random and fast encryption results indicate that transactions are secure.This achievement makes the opportunity for attackers to manipulate data small, so security is increased.
CapNet: An Encoder-Decoder based Neural Network Model for Automatic Bangla Image Caption Generation

Automatic caption generation from images has become an active research topic in the field of Computer Vision (CV) and Natural Language Processing (NLP).Machine generated image caption plays a vital role for the visually impaired people by converting the caption to speech to have a better understanding of their surrounding.Though significant amount of research has been conducted for automatic caption generation in other languages, far too little effort has been devoted to Bangla image caption generation.In this paper, we propose an encoder-decoder based model which takes an image as input and generates the corresponding Bangla caption as output.The encoder network consists of a pretrained image feature extractor called ResNet-50, while the decoder network consists of Bidirectional LSTMs for caption generation.The model has been trained and evaluated using a Bangla image captioning dataset named BanglaLekhaIm-ageCaptions.The proposed model achieved a training accuracy of 91% and BLEU-1, BLEU-2, BLEU-3, BLEU-4 scores of 0.81, 0.67, 0.57, and 0.51 respectively.Moreover, a comparative study for different pretrained feature extractors such as VGG-16 and Xception is presented.Finally, the proposed model has been deployed on an embedded device for analysing the inference time and power consumption.
A Taxonomy of Deep Learning Based Privacy Preservation Frameworks

A Taxonomy of Deep Learning Based Privacy Preservation Frameworks
A SHORT MESSAGING SYSTEM (SMS) ALERT FOR IDENTIFYING VICTIM LOCATION USING SMARTWATCH TECHNOLOGY

The incidence of kidnapping peoples in Nigeria has taken an alarming dimension for reasons not well addressed by successive governments in Nigeria. This unlawful act has increase despite the various legislations prohibiting kidnapping both the international level and at the three tiers levels of government. The law against kidnapping has been passed almost a decade since 2013 by the federal government of Nigeria with some states in the country domesticating law from 2017-2021. The purpose of this paper is to design a software program that uses a smartwatch and is dubbed as blower. It can help the users (victim) to alert the security personnelâ€™s or relatives for help. When the report button on the smartwatch is clicked, the geolocation and the SMS application interface(API) are triggered, and SMS will generate with details of the current coordinates of the device location and sent to a predefined number. This message is sent continuously whenever the location changes. Is an innovative software suite (Web, Mobile, API, and Database) that can be used to help the victim, in curbing kidnapping issues in our society.
Conduta e acompanhamento de pacientes pós COVID-19 na atenção primária em um município da região sul do Tocantins

Corona Virus Disease (Covid-19), is a pandemic infectious disease of the coronavirus. Patients with the most severe form of the disease require hospital support, for the most part, for a long period of time, compromising the muscular system, especially those of the lower limbs. This study aimed to analyze medical records of patients who were affected by covid-19 and underwent a period of hospitalization. A quantitative approach was used and the data collection took place in May 2022. A specific form was used and the variables of patient age, sex, pre-existing pathologies, sequelae presented after Covid-19, conducts and/or or interventions carried out by the teams. Most patients were aged between 50 and 60 years, male, with preexisting pathologies, such as hypertension and diabetes Mellitus. The main post-Covid-19 sequelae were muscle weakness and respiratory fatigue and the main procedures used were breathing exercises, strength and muscular endurance training and aerobic exercises. It was concluded that most patients who sought health units were referred to other health services. Furthermore, as it is a pathology that still requires in-depth elucidations, further studies are necessary regarding the expansion of the physiotherapist's care in this context.
Large Scale Road Datasets and Point-Offset Network for 3D Instance Segmentation

In the field of autonomous driving, recognition and segmentation of road point clouds is an important task for the automatic production of 3D high-precision maps. To address the problems of lack of large-scale and complex road scene datasets for the instance segmentation, and the poor applicability of algorithms under large scenes, this paper produces a brand new and large-scale road instance segmentation dataset. Meanwhile, this paper proposes a brand new solution for semantic segmentation and clustering bias prediction, based on an improved Pointnet++ network, which is used together with the clustering algorithm of DBSCAN to conduct the instance segmentation. Thorough experiments indicate that the semantic segmentation accuracy of the proposed method reaches 0.982 on our produced road instance segmentation datasets, meanwhile the average accuracy and recall of the three classes of instance segmentation reach 0.853 and 0.784, respectively. Moreover, the bias network branch proposed in this paper can further improve the effectiveness of clustering, and the precision of our algorithm was improved by 15.1% and the recall rate was improved by 16.2%. It can be concluded that our produced dataset can support the large-scale road instance segmentation and our proposed algorithm can better adapt to the instance segmentation under large-scale and complex road scenarios.
The Current Status and Proposal of the King Sejong Institute Foundation’s Korean Language Education Policy

This study analyzed the entire Korean language education policy project that has been promoted by the King Sejong Institute Foundation and examined the current status of the Korean language education policy of this foundation. Through this, a project direction has been proposed to improve the quality of the King Sejong Institute Foundation’s Korean language education policy project. In the future, the King Sejong Institute Foundation needs to first seek to expand its business to various areas. Currently, most of the institute’s projects are biased toward education, so there is a need to expand the proportion of cultural projects; such cultural projects should be expanded beyond education to include mutual cultural exchange activities. Next, it is necessary to avoid the problem of redundancy through exchange and cooperation with various ministries of the government and to emphasize the features that make the King Sejong Institute Foundation unique. It is also necessary to expand projects related to teacher training and strengthening teachers’ competencies. Since the King Sejong Institute Foundation operates many King Sejong Institutes abroad, it is necessary to focus more on localized education for teachers so that they can provide customized Korean language education specialized in their region. Finally, it is necessary to attend to the project to distribute and utilize materials through the localization of educational materials.
Current State and Tasks of Korean Language Education in Guatemala’s Public Elementary Schools

This article aims to examine the state of Korean language education in Guatemala's public elementary schools and suggest future directions for its stable settlement and continuous development in Guatemala's public education. In March 2020, four public elementary schools in Guatemala adopted Korean as a regular foreign language subject for the first time. As of February 2022, ten elementary schools are offering regular Korean language courses. In Guatemalan public schools, Korean language education has grown quantitatively over the past two years despite COVID-19. However, some tasks need to be solved for the Korean language to have a stable footing in Guatemala's public education, ensure internal stability, and promote qualitative growth together. First, the most urgent task is to secure Korean language teachers. For the stable production of professional Korean teachers, it is essential to establish a training course for Korean language teachers and offer a major in Korean studies as a degree program within universities. Additionally, developing customized Korean textbooks considering the age, level, and culture of elementary school students in Guatemala is essential. Moreover, it is necessary to develop a Korean language curriculum so that the Korean language can establish its status as an official foreign language of Guatemala. Lastly, to expand the base of Korean language education in Guatemala, an institution in charge of spreading the Korean language and culture should be rapidly established.
A New Pattern Framework and Innovative Practices in the Smart Court System-of-Systems Engineering Project of China

Developing large-scale complex information systems, such as the Smart Court system-of-systems (SoSs) of China, is a worldwide engineering challenge. This paper, from a methodological perspective, aims to expound the theoretical construction and practical progress of Smart Court system-of-systems engineering (SoSE) of China. The concept and key task requirements of SoSE are explored, technical difficulties faced by the Smart Court SoSE are analyzed, and a “two-track parallel, six-ring linkage” pattern framework is proposed for the progressive collaboration SoSE of large-scale autonomous information systems. Based on the theories including a universal information model, information metric system, and dynamic configurations of information systems, a key evaluation indicator system for an information SoSs is proposed. To satisfy the SoSE design requirements, an overall design method based on information relationships and its enabling tool are proposed, and a reference model of the Smart Court SoSs is designed to provide a top-level reference for the system development and integration of the Smart Court. Moreover, the development and collaborative integration of the autonomous and backbone systems in the Smart Court SoSE are presented in a comprehensive manner. The nationwide application and promotion of the Smart Court SoSs support the upgrade and transformation of the conventional judicial operation pattern of people’s courts in China. Through continuous analyses of the quality and effectiveness of the Smart Court based on the key evaluation indicators, targeted improvement can be conducted to further enhance the SoSs capabilities, thereby contributing to the progress of judicial civilization in the information age.
The Bigger Picture Book of Amazing Dyslexics and the Jobs They DoKatePower and KathyIwanczak Forsyth2020London: Jessica Kingsley Publishers

Support for LearningVolume 37, Issue 3 p. 495-496 Book Review The Bigger Picture Book of Amazing Dyslexics and the Jobs They Do Kate Power and Kathy Iwanczak Forsyth 2020 London: Jessica Kingsley Publishers Maxine Hosking, Corresponding Author Maxine Hosking sthoskingm@selstonhigh.org.uk Search for more papers by this author Maxine Hosking, Corresponding Author Maxine Hosking sthoskingm@selstonhigh.org.uk Search for more papers by this author First published: 06 September 2022 https://doi.org/10.1111/1467-9604.12414Read the full textAboutPDF ToolsRequest permissionExport citationAdd to favoritesTrack citation ShareShare Give accessShare full text accessShare full-text accessPlease review our Terms and Conditions of Use and check box below to share full-text version of article.I have read and accept the Wiley Online Library Terms and Conditions of UseShareable LinkUse the link below to share a full-text version of this article with your friends and colleagues. Learn more.Copy URL Share a linkShare onFacebookTwitterLinkedInRedditWechat No abstract is available for this article. Volume37, Issue3August 2022Pages 495-496 RelatedInformation
PEDAGOGICAL CONDITIONS FOR MODERNIZATION OF PRACTICAL TRAINING OF POLYTECHNIC COLLEGE STUDENTS

The article considers the features of the implementation of a practice-oriented approach in organizing the training of secondary vocational education (college) students. The modern economy puts forward requirements for improving the quality of training of college graduates, and therefore it is necessary to modernize professional education, including the introduction of adaptive, practice-oriented, and flexible training programs. The use of a practice-oriented approach requires a change in the content and methodological aspects of education, which will entail a reorientation of the training process from transferring mainly knowledge and ideas to students to developing their skills to carry out practical actions, acquire and accumulate skills and experience of practical work in their chosen field of activity. For this purpose, first of all, it is necessary to develop cooperation between educational institutions of secondary vocational education and employers, i.e. establish a system of dual education, which can be considered as the leading pedagogical condition for the modernization of practical training. Along with this, important conditions also include: improving the material and technical equipment of the educational process to synchronize it with the demands of manufacturing enterprises; advanced training of teachers who implement practical training of students and diagnosing the development of their professional competences; organization of students’ participation in competitions of professional skills and olympiads; improving the content and methodology of production practices as the top line in practical training; promoting the employment of college graduates. The features of the implementation of these pedagogical conditions are exemplified by the experience of Polytechnic College No.8 named after twice Hero of the Soviet Union I.F. Pavlov (Moscow).
Multimodal humor in emoji-mediated emotive communication

Drawing on the features of sociality, mobility, and multimodality, the researcher presents emoji-mediated discussions among 43 university students in a Facebook group. The results of discourse-pragmatic analyses show the participants’ frequent use of expressive and representative communicative acts and various types of multimodal humor, alongside laughing and thinking emojis. Utterance-final face emojis and other affective expressions have particularly been employed to make communicative moves and construct humorous discourses. This article discusses expressive and playful potentials of emojis in computer-mediated communication. This study may help to understand the impacts which social media are having on the students’ development of digital literacy and affective linguistic practices.
A mobile diary application as an instrument for collecting real-world and real-life contextualized language learning

This study is part of a long-term project dealing with the definitions, measurements, factors, and outcomes of outside-classroom real-world (RW) and real-life (RL) contextualized (mobile-assisted) language learning, that is, CLL and CMALL. A known research obstacle in the field is how to collect learners' RW/RL contextualized learning given ‘noisy’ data. There is an issue of memory for self-reported data, which weakens questionnaires' validity. The experience sampling method (ESM), however good in assisting learners' recall, is quite laborious. Diaries are introspective, and asking about recent events, such as a day before, as in the day reconstruction method (DRM), can reduce memory bias. Furthermore, digital tools facilitate data analysis for researchers. Therefore, in this study, we developed a diary application to collect data on learners’ experiences in outside-classroom RW-RL CLL &amp; CMALL. We developed the diary app based on the DRM guideline and eight principles that make it usable in future studies regardless of the target language with no need for coding. The main learner functionality (reporting events) is based on the RW/RL contextualized learning model adjusted to the diary. The diarists are guided unequivocally based on the model and using clear instructions and questions about aspects of language, context, materials, and feelings. The Admin Monitor facilitates data tracking and analysis. Thus, this pioneering language-learning diary application for outside-classroom RW-RL CLL and CMALL is more structurally consistent and comprehensive than traditional language-learning diaries. The app is purposeful for researchers and practitioners interested in using language-learning diaries or learning about students' outside-class RW-RL CLL &amp; CMALL.
Pedagogical benefits of technological affordances in a user–created metaverse space

Contextualization and interaction are critical to successful L2 learning. However, in English-as-a-foreign-language (EFL) situations where students do not have opportunities to use the target language, contextualized learning and interaction in English is seldom available and learning English is often limited to classroom practices. This leads to students’ lack of interest and motivation to learn English. In recent years, as diverse virtual technologies advance, they offer a new learning environment for EFL students. In the so-called metaverse, spaces and situations can be created for learning English effectively. The current study explored potentials of using the metaverse space in English education. We constructed a desert island in Gather.town, created a story, and placed interactive objects on the desert island. In total, 25 middle school students participated in the activity for two hours. The study employed a mixed method research design, including the post-survey and interviews with the students and the teachers. The results showed that the students enjoyed the activity and responded that the activity facilitated their language learning. The interview results also confirmed that the activity was an enjoyable learning experience to them.
The Architecture of the Software System for Supporting Attendance Records at the University

Nowadays, in accordance with the modular rating system adopted in universities, as well as due to the shift in emphasis towards the independent work of students and the construction of individual educational trajectories, the task of accounting for attendance at classes is being updated. The purpose of this paper is to develop the architecture of a software system that allows you to automate the process of confirming the presence of students in the classroom. Based on the analysis of modern works and the technical capabilities of current software solutions, the method of scanning the unique QR code of each training session with the camera of the students mobile device was chosen as the most optimal means of solving this problem. The paper presents the results of visual modeling of the software system, as well as the structure of the system, which includes the teachers console in the form of a web application in PHP and a mobile application for the iOS platform developed in Swift. The organization of data storage in the MySQL DBMS, the structure of relations are described. The main algorithms for the operation of the main software modules for scanning and generating a QR code are considered. Test examples of the operation of a web application and a mobile application as the main components of the system are given. With a high degree of confidence, we can assume that the presented system will be effective for solving attendance accounting problems.