Reviewerly/exHarmony huggingface dataset:
Immersive Virtual Field Trips with Virtual Reality in Construction Education: A Pilot Study

Field trips or site visits provide valuable learning opportunities in construction education. However, traditional field trips often face challenges such as accessibility, logistics, weather, safety, to name a few. The recent global pandemic and its stipulations on social distancing add another layer of complexity to implement. Alternative field trips such as virtual field trips (VFTs), which are usually enabled by technology innovations, can help overcome these barriers. Previous VFT researchers shared promising results in providing a rich learning experience to students while also noting the lack of robustness and immersiveness. This study aims to develop a prototype of an immersive VFT solution with virtual reality (VR) to facilitate field knowledge transfer in construction education. The paper presents the VFT development process and shares preliminary results of student learning and user experience data from the first prototype. Findings of this pilot study suggest that a key advantage of VFTs over traditional field trips resides in the opportunity of learning iteration, which is essential to successful knowledge acquisition in the cognitive learning domain. The preliminary analysis on the correlation between student performance and media types of information also provides insights into future VFT design based on the multimedia learning framework.
PANDEMIC AS A CATALYST FOR DIGITAL PROCESSES IN ART

This scientific article analyzes the question of how technological progress affects art in general, and choreography in particular. Based on the material of the scientific discussion that took shape within the framework of the Round Table "Modern trends in the development of choreographic education", held in 2021 as part of the II International Festival of Professional Choreographic Educational Institutions "Temps lié", the author shows the birth of a new understanding of digitalization in the art of choreography
STUDY OF EDTECH BUSINESS

One of the major features of technology in Education sector is to increase the level of education delivery in educational institute. Technology in education sector can be powerful tool for enhancing the relationship between educators and student, reconsider traditional ways of learning and shrinking the long established educational gaps and create a long lasting learning experience. Ours Schools, Universities or tuition centers or any educational institute should be hub of exploring new methods and technologies to enhance the quality of education .Educators or teachers should constantly be learning new skills to enhance their quality of education. Educators should be creating learning environment that provide students right tools and support for all learners to grow. In order to do that the stakeholders of educational institutes should join hands with technology.
Krishi Mandi Bulk Agro Product Service System

Krishi Mandi website is providing assistance to farmers sell their agriculture products directly to wholesaler and any food processing company, retail stores and institutional buyers. So, that the farmers and retailer can get the better price of agriculture products. The farmer will be able to get the best value for his crops. Farmer can know about government subsidies. Farmer will get information about crop yields and tools. And agri manufacturer/distributor can sell agri machines, agri seed directly to farmers. Farmer as well as manufacturing company will be able to advertise their product through giving product detail, picture, video.
Developing Digital Competence and Media Literacy through PBL: Web 2.0 tools used in #DigitalEU – we'll do! eTwinning project

This article discusses the role of digital literacy in education. It reviews previous framings of digital and media literacy, European policies on developing key competences and it suggests how these could be developed through eTwinning projects, presenting examples of activities and Web 2.0 tools from #Digital EU – we’ll do! eTwinning project (awarded both nationally and at a European level).
Acquired coarctation of aorta: Coral reef aorta

The Muon g-2 experiment at FERMILAB has confirmed the muon anomalous magnetic moment anomaly, with an error bar 15% smaller and a different central value compared with the previous Brookhaven result. The combined results from FERMILAB and Brookhaven show a difference with theory at a significance of 4.2σ, strongly indicating the presence of new physics. In light of this new result, we discuss a Two Higgs Doublet model augmented by an Abelian gauge symmetry that can simultaneously accommodate a light dark matter candidate and (g−2)μ, in agreement with existing bounds.
An Enhanced Security Model for Simple Reformation-Based Password Scheme using PHP

Lack of security has become a major concern, given the prevalence of attackers, hackers, crackers, scammers and spammers. A key area in security research and practice is authentication, the determination of whether a user should be allowed to access a given system or resource. Existing authentication processes are usually accomplished by user ID and password, with the authentication schemes Pair-based Authentication scheme based. Textual passwords are the most common method used for authentication. But textual passwords are vulnerable to eves dropping, dictionary attacks, social engineering and shoulder surfing. Graphical passwords are introduced as alternative techniques to textual passwords. Most of the graphical schemes are vulnerable to shoulder surfing. To address this problem, text can be combined with images or colors to generate session passwords for authentication. Session passwords can be used only once and every time a new password is generated. In this research paper, two different techniques are proposed to generate session passwords using text and colors which are resistant and more secured. These methods are suitable for Personal Digital Assistants. These methods are suitable for Personal Digital Assistants. This scheme can authenticate the user by session passwords that are used only once. It is no longer useful if the session is terminated. For every login process, users have to feed the input with different passwords. It provides better security against dictionary and brute force attacks as password changes for every session. The proposed authentication schemes use text, colors and images for generating session passwords.
Correction to: Chinese students’ access, use and perceptions of ICTs in learning mathematics: findings from an investigation of Shanghai secondary schools

The publication of this article unfortunately contained a mistake. There was an error in one reference, correct it should be.
Radio Drama in ESL Learning among Engineering and Business Students in UiTM Kampus Pasir Gudang

A radio play is a dramaticized acoustic performance.Radio drama feature lacks a visual component, mainly depends on speech, music, and sound effects to let the listener imagine the characters and story.There are many studies done on the effectiveness of role-playing, theater, and drama but not many studies done on radio drama.The purpose of this study is to investigate the students' opinions on the effects of radio drama on their language skills.As many as 96 respondents who have been involved in this study are requested to answer a questionnaire regarding the effects of radio drama on their language skills.The study employed quantitative method analysis.Statistical analysis was also conducted to find out the significant difference between two main variables in the study namely business students and engineering students.The findings of the study show that majority of the students from both groups believed that radio drama application in ESL learning brings good effects to their language skills; writing, speaking, reading, and listening.The students believed that it has helped them to enhance their creativity, range of vocabulary, pronunciation, and grammar skills.
RELATIONSHIP BETWEEN EMPLOYEE ENGAGEMENT AND EMPLOYEE PERFORMANCE: A CONCEPTUAL FRAMEWORK

The ability of an organisation to manage employee engagement which is closely related to its ability to achieve high performance levels and superior business results.Employees who are engaged will stay with the company, become advocates for the company and its products and services, and contribute to bottom-line business success.They develop an emotional bond with the company.This influences their attitude toward the company's clients, which improves customer satisfaction and service levels.Employee involvement has been used to describe a wide range of common organisational practices.The focus is drawn to the growing employee influence over their work, and it is extended to other areas of organisational practice.Quality circles, quality of work life programmes, consultative committees, gain sharing, job enrichment, and work redesign are the most common practices aimed at increasing employee involvement.
Excellent English Writing Performance Cultivation Mode of Three-type-oriented Talents Based on OBE Concept

Three-type-oriented talents refer to application-oriented talents, inter-disciplinary talents and innovative talents, which implements ‘Out-come based education’ - OBE concept, corresponding to talents cultivation aims of Application-oriented universities. Such affords students more independent choices, and serve students independent development by resources integration and elements reorganization, discipline limitation breakthrough, on and off campus resources collection, adding to online and offline integration. ‘Workshop model’ leads in the English writing course, considered as a concrete measure of ‘students-centered and outcome-oriented’ teaching mode.
Assessment of the relevance of the student survey results in the educational process

Many educational institutions implement feedback mechanisms in their activities, this also occurs according to the requirements of educational standards, public accreditation organizations, international quality standards. But it is not always clear how to competently and effectively use the data obtained due to the unsuitability of such data in its original raw form. The study is aimed at developing a methodology for filtering student reviews about the studied disciplines from irrelevant ones in order to further use them in the management system of an educational institution and the educational process. The study used the methods of statistical data analysis and estimation of the parameters of a logistic regression model using STATISTICA 10.0 and Jamovi 1.8.1 programs. Spearman's and Kendall's correlation coefficients were used to assess the direction and strength of the link between quantitative indicators. Cramer's V test was used to assess the relationship between dichotomous indicators. For clustering observations, the K-means method was used with the setting of measuring the minimum distances. The results of the study showed statistically significant relationships (p &lt; 0.05) between indicators of educational activity and student feedback, which made it possible to use these indicators to classify reviews. The study using the cluster analysis made it possible to obtain the optimal number of clusters for solving the task of classifying and confirming the adequacy of the developed methodology. Thus, the correlation analysis showed a direct moderate relationship between irrelevant reviews obtained by the methodology and three-cluster classification at r = 0.70, and Cramer's V test showed a strong association with the results of three-cluster classification (0.70). Using the classification results as a training sample, a logistic regression model was built with an adequacy of 94.97%. The results of the study lead to the conclusion that the obtained methodology and the logistic regression model can be used to clean the initial feedback data from irrelevant reviews based on the indicators of students' learning activities.
Multimedia Automation Access Control of Big Data Open Resources Based on Blockchain

In order to better mine the value of data, the author proposes a research on the automatic access control of big data open resources multimedia based on blockchain and introduces big data access control BBAC-BD (blockchain-based access control mechanism for big data environment). The author designed a strategy management contract based on the Bloom filter, as a probabilistic data structure with extremely high space utilization efficiency and proposed the strategic management contract (PAP CONTRACT) and the strategic decision contract (PDP CONTRACT). In this way, the nontampering, auditability, and verifiability of the access control information are guaranteed; then, the access control method based on smart contracts is adopted to realize the user-driven, whole-process transparent, and dynamic and automatic access control of big data resources. The simulation results show that the greater the ratio of n/k, the better the optimization effect, and the greater the ratio, the lower the corresponding misjudgment rate, but it will also take up more space costs. At the same time, the true value of the false positive rate is generally less than the theoretical value of the false positive rate. When the performance of Hash (strategy to retrieve) is better, the result of Hash distribution is more uniform. Under the condition of m = 3, the misjudgment rate acceptable for the expected use can be achieved, and the increase in the number of Hashes will not bring a significant increase in revenue. Freed from the traditional model of providing access control services based on third parties, solve the problem of transparency of authority judgments; at the same time, through smart contracts, based on the strategy published by the resource owner on the blockchain, realize automatic access control to big data resources; and make the judicial process more flexible and the judgment result more credible. The BBAC-BD mechanism realizes a safe, reliable, and transparent new access control architecture, and it can effectively promote the safe circulation and sharing of big data.
Non-IID Federated Learning

This issue features the technical theme on “Non-IID Federated Learning,” an important topic in addressing non-IIDness (independent and identically distributed) and other progress in distributed and federated learning.
A Model-Based Method of Extension and Intension

The semantic method of extension and intension presented by Rudolf Carnap may have some problems from the current perspective in cognitive science. For example, that method is strongly linked to logic, and it is hard to determine where its state-descriptions come from, how many they are, and what the relation of accessibility between them is. This paper tries to solve difficulties such as those by updating the method resorting to the theses and results of a contemporary reasoning theory: the theory of mental models. Basically, the update consists of replacing the state-descriptions of the original method with the possibilities of the theory of mental models. That allows reformulating several relevant concepts in Carnap’s method in order to better adjust them to the real characteristics of human language.
A PRE-TRAINED MODEL BERT FOR MACHINE TRANSLATION FROM ENGLISH TO TELUGU

At present, Neural Machine Translation (NMT) is an innovative and latest approach for machine translation, which is way better than statistical machine translation. It has drawn so much attention to it, that most of researchers are exploring new states of art approaches to get better translations. As the area of deep learning and transfer learning are also being implemented a lot, we are trying to fit a pre-trained model's unique way of tokenization into a NMT architecture so that the pre-trained weights gives better translation. In this work we study how BERT pre-trained models might be exploited for supervised NMT. We compare various ways to integrate pre-trained BERT model with NMT model and study the impact of the monolingual data that is used to train BERT which we are proposing to use in the translation of parallel corpus.
Phygital customer experience strategy enabled by robotics and artificial intelligence (AI)

The growth and democratization of the use of robots across different sectors represent an excellent opportunity for companies to rethink their relationship with their customers and their marketing strategies and reflect on how the incorporation of different forms of intelligent robots, equipped with artificial intelligence (AI), can help them improve the customer experience within digital and physical (phygital) settings. This chapter explores the evolution of robotics and its integration into the commercial sector. This chapter answers the questions related to the forms of intelligent robots companies can use to design effective and adapted phygital experiences that allow customers to easily navigate between real and virtual components. Also, the challenges related to human-robot relationships and interactions will be discussed in this chapter.
Blockchain Application in the Elimination of Scholarship-based Manipulation

Abstract: Blockchain technology has many applications in terms of record-keeping, transparency, and cryptocurrency as well. Additionally, with one of its characteristics, manipulation or fraud can be eliminated. By decentralizing the data, the data becomes immutable, which means any traditional method of record-keeping that were susceptible to manipulation can be removed now. In this paper, a method to remove scholarship-based manipulation has been proposed. In many universities, there are scholarships based on the student’s family income. To support the poor and deserving in getting an education, these scholarships are a must. However, paper-based income certificates used to justify family income can be easily manipulated. Therefore, with the help of the Ethereum Smart Contract, a framework to store income certificates has been proposed. This method can be used to enter income data from the student’s family’s employer’s backend. Considering a fair and acceptable income for eligibility for the scholarship, the university can decide to go ahead with it without fearing the manipulation of income data. Keywords: Blockchain Technology, Scholarship manipulation, fraud detection, Education, Smart contract.
Visualizing CoAtNet Predictions for Aiding Melanoma Detection

Melanoma is considered to be the most aggressive form of skin can- cer. Due to the similar shape of malignant and benign cancerous lesions, doctors spend considerably more time when diagnosing these findings. At present, the evaluation of malignancy is performed primarily by invasive histological examination of the suspicious lesion. Developing an accurate classifier for early and efficient detection can minimize and monitor the harmful effects of skin cancer and increase patient survival rates. This paper proposes a multi-class classification task using the CoAtNet architecture, a hybrid model that combines the depthwise convolution matrix operation of traditional convolutional neural networks with the strengths of Transformer models and self-attention mechanics to achieve better gen- eralization and capacity. The proposed multi-class classifier achieves an overall precision of 0.901, recall 0.895, and AP 0.923, indicating high per- formance compared to other state-of-the-art networks.
Quantum simulations of time-reversal broken interacting systems in a trapped ion quantum computer

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FAKE NEWS E DESINFORMAÇÃO CIENTÍFICA NO MEIO DIGITAL: UM ESTUDO EXPLORATÓRIO

This paper aims to resume some of the main characteristics of the Energy Market and hybrid power generation plants, as well as the discussion on regulatory adjustments applied to the regulation of hybrid power plants. The method of analysis is Interdisciplinary and the technique used is the bibliographic review, of an exploratory nature. The results suggest that there is much to advance in the knowledge, regulatory procedures and experience of hybridization in Brazil and in the rest of the world. The conclusion shows that, although hybridization between hydro and wind generation predominates, there is technical and resource space for successful hybridization involving hydroelectric and solar photovoltaic plants, which requires cumulative regulatory incentives and improvements. If this practice was already prevalent in Brazil, it could have helped to mitigate part of the negative consequences of the water crisis, which worsened in 2021.
Interactive e-modules training and workshop as teaching materials the era of Society 5.0

Interactive e-modules are one of the innovations of teaching materials in Society 5.0 considered innovative for learning. As innovative teaching materials interactive e-modules are recommended, it is hoped that 21st-century teachers will be able to develop their interactive e-modules that suit students’ character and the learning methods used. However, based on a survey that has been conducted, 79% of teachers still use PowerPoint (.ppt) as teaching materials. This activity was held to provide training on making interactive e-modules to the chemistry MGMP team in Gresik based on a scientific approach. This interactive e-module is equipped with teaching materials such as pictures, videos/animations, quizzes, and interactive features to attract students’ attention. The methods used in this service include coordination, interactive e-module design, instrument creation, training implementation, evaluation, management, and publication. Analysis of data obtained from training activities proves that teachers are interested in creating and using interactive e-modules for learning. The interactive e-module is considered an attractive design for learning following the era of Society 5.0.
An Exact Radon Formula for Lambertian Tomography

This paper, based on an extension of the Radon transform on distributions, is a mathematical contribution to the field of tomographic imaging in optics. Indeed, we tackle the reconstruction of a Lambertian convex reflector using tomography. In a bi-dimensional setup, we prove that the Lambert’s cosine law can be exactly inverted by an original Radon formula. The associated reconstruction contains the geometry and the physics of the problem: it is a Radon measure supported by the reflector, and its density is the inverse of the albedo. Surprisingly, the Radon transform from X-ray transmission tomography, extended on distributions, permits here to invert reflected radiances in optics.
Multicore Algorithms for Graph Connectivity Problems

This chapter introduces the Multistep method, a new approach that avoids work inefficiencies seen in many strongly connected component (SCC) approaches. The problem of strongly connected components refers to the detection of all maximal strongly connected subgraphs in a large directed graph. There are several existing serial and parallel algorithms that are used to determine the SCCs of a graph. Serial methods include Tarjan’s and Kosaraju’s algorithms, while parallel methods are the Forward-Backward algorithm and coloring. Two common serial algorithms used for SCC detection are Tarjan’s and Kosaraju’s algorithms. There have been recent works aimed at improving FW-BW and coloring. The FW-BW algorithm can be quite efficient if a graph has relatively small number of large and equally sized SCCs, as the leftover partitions in each step would, on average, result in similar amounts of task-parallel work.