Reviewerly/exHarmony huggingface dataset:
Innovative educational environment as a factor in the development of professional competence

Scientific and technological progress, automation of all economic spheres require close relation of training and self-study, mastering new knowledge and skills to information technologies and become permanent components of professional activity.The problem of developing such a system of professional training that would contribute to the development of students' thinking, the ability to adapt to the professional environment, and as a result, ensuring the competitiveness of graduates in the labor market, becomes urgent.Therefore, the current state of the educational process requires solving complex problems.The study proves the current state of the educational process, which requires solving complex problems: focusing on the development of professional competence in the use of modern information tools; adjustment of training programs; intensification and individualization of the educational process with the use of computer technology; updating the development of methods for diagnosing individual differences of students to create a psychologically comfortable educational environment.
Research on the Development of Vocational Education at Postgraduate Level

Vocational education is an important part of China's education system.To further improve the development system of vocational education is of great significance to enhance the comprehensive quality of China's labor force and improve social productivity. At present, the highest level of vocational education in our country is still at the undergraduate level, and only a few schools have dabbed at the postgraduate level. There is also some debate about whether vocational education needs postgraduate education. Based on this, this paper first summarizes the status quo of vocational education development in China, analyzes the bottleneck of vocational education development in China and the necessity of developing postgraduate vocational education. Finally, based on the actual situation in China and the suggestions of NPC and CPPCC representatives in recent two years, this paper puts forward some suggestions on the development of postgraduate-level vocational education, hoping to provide some reference for related fields.
Korean Teachers' Perception of Future Education after COVID-19 and Direction of Technology Education

This study was conducted to predict changes in education after COVID-19 through a survey of Korean teachers' perceptions of future education and to set the future direction of technology education based on this. To this end, in this study, by analyzing the educational situation after the COVID-19 crisis, five major categories were defined: “Educational Goals”, “Curriculum”, “Teachers’ Competencies”, “School Education System”, and “Education System for Pre-service Teachers”. A total of 465 people participated in the survey from 16 cities and provinces in the Republic of Korea from February to May 2021 and responded to 16 questions according to the topic and using the online survey tool. As a result of the survey, Korean teachers responded that "adaptation to new technology" and "pursuit of social values" need to be emphasized as educational goals after COVID-19, and "individualized distance education" and "project-based learning" need to be actively applied in curriculum operation. They thought that teachers would be required to have competencies such as “technology literacy” and “creating learning affordances”. In addition, in school education, "interdisciplinary integration" and "safety and health education" must be emphasized, and the teachers answered that it is important to learn social values. In the course of training pre-service teachers, it was considered necessary to expand convergence and complex courses and to actively apply blended learning, deeper learning, and crossover learning. Based on this, the direction of future technology education can be established. For the development of technology education, it is necessary to change competencies from problem-solving to concept design, metaverse-based technology education needs to be conducted, and technology ethics need to be treated importantly.
Enterprise API Transformation: Driving towards API Economy

API proliferation is expected to grow in the coming years. This growth is further increased by the recent trends in digital transformation efforts undertaken by organizations across the spectrum. This paper discusses the benefits organizations can leverage by moving towards an API economy and proposes a framework for organizations to execute API transformation successfully.
A Robust Blind 3-D Mesh Watermarking Technique Based on SCS Quantization and Mesh Saliency for Copyright Protection

Due to the recent demand of 3-D meshes in a wide range of applications such as video games, medical imaging, film special effect making, computer-aided design (CAD), among others, the necessity of implementing 3-D mesh watermarking schemes aiming to protect copyright has increased in the last decade. Nowadays, the majority of robust 3-D watermarking approaches have mainly focused on the robustness against attacks while the imperceptibility of these techniques is still a serious challenge. In this context, a blind robust 3-D mesh watermarking method based on mesh saliency and scalar Costa scheme (SCS) for Copyright protection is proposed. The watermark is embedded by quantifying the vertex norms of the 3-D mesh by SCS scheme using the vertex normal norms as synchronizing primitives. The choice of these vertices is based on 3-D mesh saliency to achieve watermark robustness while ensuring high imperceptibility. The experimental results show that in comparison with the alternative methods, the proposed work can achieve a high imperceptibility performance while ensuring a good robustness against several common attacks including similarity transformations, noise addition, quantization, smoothing, elements reordering, etc.
From the Universality of Mathematical Truth to the Interoperability of Proof Systems

Abstract The development of computerized proof systems, such as Coq , Matita , Agda , Lean , HOL 4 , HOL Light , Isabelle/HOL , Mizar , etc. is a major step forward in the never ending quest of mathematical rigor.
A New Python API for Webots Robotics Simulations

Webots is a popular open-source package for 3D robotics simulations.It can also be used as a 3D interactive environment for other physicsbased modeling, virtual reality, teaching or games.Webots has provided a simple API allowing Python programs to control robots and/or the simulated world, but this API is inefficient and does not provide many "pythonic" conveniences.A new Python API for Webots is presented that is more efficient and provides a more intuitive, easily usable, and "pythonic" interface.
Real time motion compensation technology based on least square support vector machine prediction

When cameras are used in aerial photography, satellite imaging or other scenes, the motion of the observational target causes image blur. The corresponding motion compensation systems often present some response delay. Thus, we introduce effective and fast motion prediction for the target to achieve steady real-time motion compensation. We first analyze the target motion states to propose a fast and robust prediction method based on the least square support vector machine algorithm. Then, we evaluate the performance between ours and other state-of-the-art methods through experiments. Experimental results confirm that the proposed method provides a fast and robust prediction for target motion. At last, we embed our method with dual-resolution camera system to perform high-quality motion compensation effect in real time.
Application of Car Rental Service Applications in the City of Subussalam Based on Android

With the design of a car rental service application based on Android, it makes it easier for consumers to make car reservations. Nowadays information media with technology support is needed, especially with Information technology is increasingly modern, the easier it is for each company to exchange information. Technological developments can be felt with more and more website-based services that make it easier for parties companies and customers only connected to a computer network or internet media. In the past, information and communication was carried out Simply put, with the support of this modern information media a lot The company's management system has been supported by a website-based application. The development and construction of a new system can improve the company's performance in the car rental or rental process, namely the new system which is supported and designed specifically for car rental process management. With Android smartphone media, customers don't have to bother coming directly, simply by connecting via a network connection the order can accepted by the company. For employees, it can automatically register because has been supported by computerized database media to present reports and data entry.
Cloud AI: A comparison of specimen image data extraction processes

The Natural History Museum (NHM) of London has embarked on an ambitious programme to digitise the 80 million specimens in its collection, releasing them through the NHM data portal and the global biodiversity research community. As part of the digitisation process, data is transcribed from specimen labels to capture the vital taxonomic and collection event data. Accurate human transcription is slow and the NHM, like many institutions, has been exploring machine learning (ML) for automated specimen analysis and label data capture. This process requires many different models, chained in series: semantic segmentation to identify specimen and label regions of interest; optical character recognition to identify text on labels; natural language processing to extract entities from the text. As part of SYNTHESYS+, the NHM has been building the Specimen Data Refinery (SDR) (Smith et al. 2019) - a workflow engine for chaining ML models, each performing one atomic task in the data extraction process. The SDR is now in public beta, and we present evaluation metrics from our initial testing. Alongside the SDR project, the NHM has been exploring cloud-based artificial intelligence tools for specimen digitisation, using Google and Amazon technologies. We present an analysis of these different approaches, comparing the results from third-party AI services with models developed specifically for the biodiversity and natural history collection domains. With large corporates providing comparatively low-cost access to AI compute resources and models transferrable to many specimen image digitisation tasks, is developing bespoke solutions still required?
A Study on Various Cloud Computing Technologies, Implementation Process, Categories and Application Use in Organisation

Cloud Computing is the latest advancement used by the relationship to manage gigantic proportion of data. This paper will explain Cloud Computing, its technologies, advantages, challenges and its application use. The affiliations could have their own cloud server ranch or in like manner can limit with various data expert centres who gives the workplace of disseminated figuring. The data is split between various servers and subsequently can be gotten to starting there. It helps with extending the viability of the business affiliation. There is no direct involvement of the user to manage the data present in the cloud computing technology. The clouds can be big or small or private or public based upon the data requirement of the business and the quantity and quality of the data. The paper will also explain the implementation process of cloud computing and various types of clouds available in the market.
Indoor Localization under Sparse Bluetooth Low Energy Scanner Deployment for Medical and Nursing Care of Elderly People

Disappearances and falls are problems in the medical and nursing care of elderly people.There is also a shortage of nurses and caregivers, which increases the workload per person.A system that automatically monitors the movements of elderly people and alerts nurses and caregivers of emergencies would make it possible to solve problems safely and efficiently even with a small number of staff.In this study, we propose a system in which a small Bluetooth Low Energy (BLE) tag is continuously worn by an elderly person and BLE scanners are installed at various locations in medical and nursing care facilities to estimate their routes in real time with sufficient accuracy for practical use.To achieve this, several constraints must be overcome.First, the BLE beacon tags must be small enough to be worn.Second, since a tag must have relatively long battery life, we cannot avoid long-cycle and low-power beacon transmissions.Third, the locations where BLE scanners can be placed in a building are limited, resulting in their sparse deployment.Under these assumptions, we propose graph-based indoor localization for sparse scanner deployment (GILS) as a method that estimates indoor locations and movement paths of elderly people by incorporating the map matching technique in real time.By introducing heuristics to correct locations in real-time location tracking, we achieve a practical level of accuracy in location and movement path estimation even with sparse beacon transmission and scanner deployment.
Characterizing Privacy Leakage in Encrypted DNS Traffic

Increased demand for DNS privacy has driven the creation of several encrypted DNS protocols, such as DNS over HTTPS (DoH), DNS over TLS (DoT), and DNS over QUIC (DoQ). Recently, DoT and DoH have been deployed by some vendors like Google and Cloudflare. This paper addresses privacy leakage in these three encrypted DNS protocols (especially DoQ) with different DNS recursive resolvers (Google, NextDNS, and Bind) and DNS proxy (AdGuard). More particularly, we investigate encrypted DNS traffic to determine whether the adversary can infer the category of websites users visit for this purpose. Through analyzing packet traces of three encrypted DNS protocols, we show that the classification performance of the websites (i.e., user's privacy leakage) is very high in terms of identifying 42 categories of the websites both in public (Google and NextDNS) and local (Bind) resolvers. By comparing the case with cache and without cache at the local resolver, we confirm that the caching effect is negligible as regards identification. We also show that discriminative features are mainly related to the inter-arrival time of packets for DNS resolving. Indeed, we confirm that the F1 score decreases largely by removing these features. We further investigate two possible countermeasures that could affect the inter-arrival time analysis in the local resolver: AdBlocker and DNS prefetch. However, there is no significant improvement in results with these countermeasures. These findings highlight that information leakage is still possible even in encrypted DNS traffic regardless of underlying protocols (i.e., HTTPS, TLS, QUIC).
Common Errors Made in English Writing By Malaysian Chinese Primary Year 6 ESL Learners At A Tuition Centre In Puchong, Malaysia

: The purpose of this research was to identify the common errors made in English writing by Malaysian Chinese primary year 6 ESL students and to determine the extent of the influence of the first language, Mandarin in ESL writing. The Mandarin language uses a logographic writing system while the English language is written in alphabetic scripts. The difference between the two language systems makes it challenging for Chinese ESL learners to master the English language. In this study, which employed a qualitative approach, 15 ESL students from primary year six were chosen as participants for the writing tasks which formed the first part of the study. Completed writing tasks of ten participants were chosen for analysis. Interviews were conducted with three participants to obtain their perceptions on their grammar proficiency. The highest and most prominent grammar errors revealed in the analysis were in the area of tenses, object pronouns, plurals, auxiliary verbs, prepositions and articles. These errors were found to be caused by the influence of the mother tongue through direct translation from the Mandarin language. To conclude, errors are inevitable but they are crucial for ESL learners to make progression in their English writing skill. The results obtained in this study serve as vital knowledge and information for ESL educators to enhance ESL learners’ grammar accuracy in writing.
Computer-Assistive Techniques for Monitoring and Tracking Patient Healthcare and Engagement

Assistive devices and technology reduce a person's dependency on others while also improving the overall quality. Wheelchairs, visual aids, hearing aids, and specialist computer software and hardware systems help the elderly and disabled improve their hearing, vision, mobility, and communication. Assistive technology, for example, provides enormous opportunity to improve the effectiveness of both health and social care delivery. 'Low-tech' products like memory aides and digital calendars, as well as 'high-tech' items like health tracking gadgets and wearables, are examples of assistive technologies. Assistive devices can be used to improve quality of life, improve lifestyle, and boost independence, depending on the type of device. Patient and caregiver acceptance of technology is influenced by a variety of factors, including perceived skills and competencies in utilizing the device, expectancies, trust, and reliability.
Online Attendance System Using Face Recognition

An attendance management system is a system used to record the daily attendance and can be used to compile insightful data for better decision making. During the Covid-19 pandemic period, most employees at University College of Yayasan Pahang (UCYP) were instructed to work from home in order to reduce the spread of the disease in workplace. The UCYP’s Human Resource (HR) department record attendance and tasks done by employees during working at home by using word-processing based manual form. IT Department of UCYP has developed portal-based attendance system to keep electronic record of staffs’ attendance to cope with working from home condition. However, there is a need to create a more reliable attendance system. The objective of this project is to create an online attendance system using face recognition technique to overcome the problem faced by the HR department. The first step is to develop a mobile-based attendance system using face recognition technique to capture images of legal employees, store images in the database and provides function for clock in and out. Next, a web-based system is developed to generate attendance reports for personal and HR Department’s usage. Personal Extreme Programming (PXP) methodology has been used to develop the system. Based on the testing done, the system able to function as required in capturing the face images of legal employees and allowed them to perform checking in and out. An online attendance management system using face recognition technique able to solve the problem faced by the organization and can achieve high accuracy during employee identification.
Capturing employee voice through social media Instagram during COVID-19 pandemic

Employee relations was initiated as expansion of Industrial relations to form psychological contract between workers and employers, and employee voice is considered as a form of communication which has potential influence in managerial decisions.However, the tendency of employees to use their voices depends heavily on employee's trust in their environment and this what is not achieved during the COVID-19 pandemic, where communication between leaders and subordinates is not carried out properly.This research aims at examining the social media channels utilized by employees to express their dissatisfaction with their workplace conditions and to deepen the understanding of employees' behavior on social media.This research attempts to contribute an understanding of how and why employees used social media in their personal space and present an overview of employees' voices that were frequently expressed on social media, which might be used by management to overcome problems that might rise in organizations.
The Effect of Business Technology Strategy on Inward Export Performance in the Malaysian Higher Education Industry

Services export plays a significant role in the world economy and benefits businesses and countries. In the service sector, higher education service has become vital for countries’ economic sustainability. The flux of international students has created global business opportunities and trade networks. However, past studies have largely focused on exports within the manufacturing industry rather than service exports, particularly on the inward export service industry. Therefore, the present study was conducted to investigate the relationship between business technology strategy, cultural sensitivity, and export performance in the higher education service industry. Data were collected from directors of international offices of 137 Malaysian higher education institutions. PLS-SEM was used for data analysis using the SmartPLS 3.2.8 software. The findings reveal that business technology strategy is positively related to cultural sensitivity and inward export performance. Furthermore, the study found that business technology strategy mediates the relationship between cultural sensitivity and inward export performance. The findings can help researchers in understanding factors that influence the inward export performance of higher education institutions. Since business technology strategy plays a mediating role in the inward export performance of higher education, this study recommends that Malaysian higher education institutions (HEIs) are equipped with the latest education-related technologies in order to increase their internationalization performance.
Developing English language material for high school level using pictures media to improve students speaking skills

This study aims to determine the effect of developing teaching materials on the learning of high school students and knowing the effect of developing teaching materials English image media on the speaking ability of high school students (SENIOR HIGH SCHOOL). The design of research and development of teaching materials used refers to research design and development modification of the Borg &amp; Gall development model (1985) and Kemp &amp; Dayton (1985). The subject of the study were the students of High School students. The result of this study is 13 units of varied material. The material consists of variety of topics related to tourist spots and well known places in South Kalimantan.&#x0D; &#x0D; Keywords: High School Students, Materials, ESP
Use of Singing Methods to Improve Vocabulary Mastery in Children Aged 5-6 Years

This study aims to improve vocabulary mastery skills through singing methods using classroom action research. The subjects of this study were students in group B of Dharma Wanita Persatuan II Bangil Kindergarten, Pasuruan, with a total sample of 15 children. Data on children's initial ability in vocabulary mastery are still in the low category, so stimulation is given through singing methods. Based on this, the results of the study obtained showed that there was an increase in the ability to master vocabulary in children with an average score of the ability to distinguish the sounds of letters, words, and the use of sentences in the first cycle in the less category, experiencing an increase in the second cycle in the process of obtaining an average score on excellent criteria. Likewise, the average score of children's ability to express words and sentences clearly in the first cycle, which is in the lower category, has increased in cycle II is also an outstanding category.