Reviewerly/exHarmony huggingface dataset:
A Meta-Analysis on the Determinants of Online Product Reviews with Moderating Effect of Product Type

The technological advances in digital space have provided a renewed impetus for business to expand their footprint across digital modes. The growth of the internet and the ease of its access to the masses has encouraged many businesses to go online. Online e-commerce platforms make it easy to search, locate and place orders. Technology-assisted supply chains and fast delivery mechanisms ensure that users don't have to go elsewhere to fulfill their needs. To earn loyalty and customer satisfaction, e-commerce platforms have evolved into a sophisticated recommender system. It has evolved from just an informational source to a participative mode where users can share their experiences about their purchases. Customer values other user experiences more than the information provided by the seller. The presence of many conflicting and contradicting reviews can make the task of making rational decisions difficult for many users. Many studies were performed to understand what constitutes a review helpful and came up with different or mixed outcomes. The present study reviews the factors that influence online customer reviews helpful. Meta-analysis was performed to reconcile the mixed findings of different factors of online review helpfulness. The meta-analysis found that with the moderating effect of product type, factors like review length, readability, rating, reputation, and expertise positively correlate with helpfulness. Further, the customer finds moderate reviews more helpful in terms of polarity. Meta-analysis has a mix of findings for the selected data points in the study. The mixed findings include product type (search, experience, or other) and helpfulness measurement criteria.&#x0D; &#x0D; Received: 30 August 2022 / Accepted: 24 October 2022 / Published: 5 November 2022
Ownership and Creativity in Generative Models

Machine learning generated content such as image artworks, textual poems and music become prominent in recent years. These tools attract much attention from the media, artists, researchers, and investors. Because these tools are data-driven, they are inherently different than the traditional creative tools which arises the question - who may own the content that is generated by these tools? In this paper we aim to address this question, we start by providing a background to this problem, raising several candidates that may own the content and arguments for each one of them. Then we propose a possible algorithmic solution in the vision-based model's regime. Finally, we discuss the broader implications of this problem.
Low Cost Intelligent Computer Vision based Assistive Technology for Elderly People

The elderly population (aged above 65) has surpassed the number of children under five years and constitutes 10% of the population of the world, which is expected to reach up to 15% by 2050. A vast majority of the elderly suffer from some kind of chronic disease affecting their cognitive skills impairing their ability to spend a quality life independently. They have to rely on caretaker services for a quality life in a safer environment. However, caretaker services are quite expensive and it is hard for the health care organizations or the families to bear the expenses. 24/7 availability of caretakers is also an issue due to the shortage of workforce, failing to meet the ever-growing demand of the caretakers. This article presents a computer-vision based assistive system for the elderly to tackle this important problem. The system is capable of monitoring the environment as well as the activities of the subject in a standard room environment. It takes the video feed as an input and recognizes the activities of elderly people by using machine learning algorithms. The standalone system autonomously detects and generates real-time alerts for the caretaker, guardian or family member in case of any potential danger through an accompanying smartphone application. It also keeps records of the activities of the subject and generates reports which can be used by health professionals for further analysis and diagnosis. The proposed system was tested in a real-world environment and exhibited promising results for standing, sitting and resting, with a combined average accuracy of 83.41%. The proposed system is standalone, cost effective, and flexible for monitoring the activities of the elderly and is expected to enhance the safety and quality of life of the subject.
Research on the Application of Information Technology in Physical Education Teaching in Colleges and Universities

Research on the application of information technology in physical education teaching in colleges and universities is studied in the paper. In physical education in colleges and universities, teachers and students should clearly understand that building an excellent sports culture under the needs of the modern era and society is the organic integration of physical training and moral education in a subtle way. With the advent of the Internet, it has provided a wealth of rich information, which enriches people's brains and enlivens students' minds, modern information technology provides information resources that are far beyond the reach of the teacher. Hence, this paper discusses the novel conbinations of the different models into the idea and propose the novel comprehensive information technology in physical education teaching in colleges.
Sequence-to-Action: Grammatical Error Correction with Action Guided Sequence Generation

The task of Grammatical Error Correction (GEC) has received remarkable attention with wide applications in Natural Language Processing (NLP) in recent years. While one of the key principles of GEC is to keep the correct parts unchanged and avoid over-correction, previous sequence-to-sequence (seq2seq) models generate results from scratch, which are not guaranteed to follow the original sentence structure and may suffer from the over-correction problem. In the meantime, the recently proposed sequence tagging models can overcome the over-correction problem by only generating edit operations, but are conditioned on human designed language-specific tagging labels. In this paper, we combine the pros and alleviate the cons of both models by proposing a novel Sequence-to-Action~(S2A) module. The S2A module jointly takes the source and target sentences as input, and is able to automatically generate a token-level action sequence before predicting each token, where each action is generated from three choices named SKIP, COPY and GENerate. Then the actions are fused with the basic seq2seq framework to provide final predictions. We conduct experiments on the benchmark datasets of both English and Chinese GEC tasks. Our model consistently outperforms the seq2seq baselines, while being able to significantly alleviate the over-correction problem as well as holding better generality and diversity in the generation results compared to the sequence tagging models.
User Perceptions of Information Security: Evidence from Takoradi Technical University

This study related to the importance of information and information technology in today's global business. The global nature of information systems also exposes them to threats which make them prone to security breaches. Information risks are several internal and external, making it almost impossible for only information security professionals to handle. This therefore reinforces the need to involve end-users in by educating them to be aware of threats, and their role in curbing those threats. Related information security literature was reviewed to establish the business problem theoretically. Using focus group discussions and open-ended interview guide, data was collected from non-security employees from Takoradi Polytechnic. The data provided understanding of the employees' present security needs, employees perception of information security, employees' personal security initiative, and level of information security awareness. The key findings in the study suggested that, currently some arrangements have been made to ensure information security; however, there is the need for more non-computer-based arrangements such as physical security, training and data backup systems. Further, because some respondents did not perceive the current security arrangement to be adequate, they took personal initiatives like using passwords, using formal communication channels for obtaining information which falls outside their domain or function, and seldom reporting any perceived security threats. These personal initiatives seemed to be the basis for the employees' self-rating of their level of information security awareness, not some training they had acquired.&#x0D; &#x0D; Received: 8 September 2022 / Accepted: 29 October 2022 / Published: 5 November 2022
Introduction to the Heritage Building Medan City Using Augmented Reality

The city of Medan is the largest city in North Sumatra and has a variety of ethnicities and diverse cultures, one of which is the Malay ethnic deli. The cultural identity of the Deli Malays in Medan is inseparable from the relics of the Malay Deli Sultanate, one of which is the heritage of the building. The lack of information on the relics of the building and the ignorance of the public about this information so that people are less familiar with the relics of the Malay Deli Sultanate building. Therefore, we need a mobile application that can help the public to find out information about the relics of the Malay sultanate and the shape of the building in 3D so that people can see 360 ​​degrees of the architectural animation of the heritage which is equipped with the history of the building's legacy. Augmented Reality (AR) is a method between the virtual world in the form of images (2D) with 3D animation then projected in real time and so on. This application uses the Markerless Augmented Reality (User Defined Target) method, which is making the marker formation by selecting the target selected by the user using a cellphone camera. The stages in this application include design design, 3D object modeling to application development. Based on the research above, it can be concluded that the application made can provide information about the relics of the Malay Deli Sultanate building. It is hoped that in the future objects from the Malay deli sultanate building will be added as well as displaying the interior and exterior supporting the heritage buildings such as fences, gardens, and others.
Mobile-Based Design of Information System for Vocational Internship Activities for Vocational Students

Information technology that is growing slowly in modernization follows the development of an increasingly aging population, and has an impact on group and individual life. Information technology also provides easy and big things related to collecting the right information directly or indirectly, and citizens get various benefits that are taken through their technological innovations, covering all aspects of life and education. An obstacle that is felt by Brigjend Katamso II Medan Vocational School is still done manually when managing student Internship activities, for example, collecting information on internship student classes, attendance, data on internship places and groups, supervision and student activities and submitting grades are also still manual. Therefore, it is necessary to design an information system for student Internship activities using API pages and the Java programming language so that admins, supervisors, field supervisors and students of SMK Brigjend Katamso II Medan can access this system with their mobile device. In order to implement the application that the researcher wants to create, it will use an R&amp;D approach, so that the data collection methods used are interviewing, observing and studying literature. The development of the system used in this INTERNSHIP activity system is using the RAD method during system development, in order to create a system that provides objective information and can provide assistance to SMK Brigjend Katamso II Medan.
A Web Based Employee Management System

Employees are the backbone of any company. Often employee data such as personal details of employees, salary, leaves, and work allocations are managed using manual methods. These manual methods generate a lot of paperwork and make it complex to effectively manage the tasks. Most of the computerized systems proposed for employee management mainly focuses only on attendance management, leave management and salary management. This paper proposes a web-based Employee Management System solution to address the difficulties faced. The system will address the shortcomings of the existing systems and provide functions to manage employee data effectively. It will use trending technologies such as React JS, Node JS, Express JS, and MongoDB as the database which are faster and more user friendly compared to the technologies proposed in the literature. The system will use the concepts of distributed systems, client server architecture and show features of 3-tier architecture. The paper concludes that the proposed system addresses the shortcomings of the similar systems proposed in the literature but should be further improved by studying the subject area. Further research should be done to provide more features related to managing employee data and to provide a responsive design that can be accessed through mobile devices as well.
The effect of Chi-Square Feature Selection on Question Classification using Multinomial Naïve Bayes

Question classification is one of the essential tasks for question answering system. This task will determine the expected answer type (EAT) of the question given to the system. Multinomial Naïve Bayes algorithm is one of the learning algorithms that can be used to classify questions. At the classification stage, this algorithm used a set of features in the knowledge model. The number of features used can result in curse of dimensionality if the feature is in high dimension. Feature selection can be used to reduce the feature dimension and could increase the system performance. Chi-Square algorithm can be used to select features that describe each category. In this research, the Multinomial Naïve Bayes is used to classify the question sentences and the Chi-Square algorithm is used for the feature selection. The dataset used is a set of Indonesian question sentences, consisting of 519 labeled factoids, 491 labeled non-factoids, and 185 labeled other. The test results showed an increase in accuracy of 0.1 when used feature selection. System accuracy when used feature selection is 0.87 with the number of features used are 248. Without feature selection, the accuracy is 0.77 with the number of features used are 1374.
PROJECTING COMMUNICATIVE LANGUAGE TEACHING (CLT) IMPLEMENTATION IN TEACHING SPOKEN LANGUAGE AT SECONDARY SCHOOL

The interconnected between communicative competence and Communicative Language Teaching (CLT) has been recognized as the most common approach to promoting communicative competence in language teaching. Moreover, it has been implemented by many English as a Foreign Language (EFL) countries involved in Indonesia. This study aims to determine the CLT implementation as performed by an EFL teacher in teaching spoken language at Secondary School. To achieve the aim, this study used a descriptive case study as a research design. The participant of the study was an EFL teacher who implements CLT in teaching spoken language. The data were collected through semi-structured interviews, classroom observation, and document analysis. The result of the data collection was analyzed by using Qualitative Data Analysis from Miles, Huberman, and Saldaña (2014). The findings revealed that the CLT implementation has been performed by an EFL teacher through three components. Those are seen from the teacher’s way of deciding the material, being a facilitator in the teaching-learning process, and applying teaching-learning strategies. This research indicates that the use of the CLT approach could facilitate learners to develop communicative competence skills.
C3S-TTP: A Trusted Third Party for Configuration Security in TOSCA-based Cloud Services

Abstract The large-scale deployment of cloud composite services distributed over heterogeneous environments poses new challenges in terms of security management. In particular, the migration of their resources is facilitated by recent advances in the area of virtualization techniques. This contributes to increase the dynamics of their configuration, and may induce vulnerabilities that could compromise the security of cloud resources, or even of the whole service. In addition, cloud providers may be reluctant to share precise information regarding the configuration of their infrastructures with cloud tenants that build and deploy cloud composite services. This makes the assessment of vulnerabilities difficult to be performed with only a partial view on the overall configuration.We therefore propose in this article an inter-cloud trusted third-party approach, called C3S-TTP, for supporting secure configurations in cloud composite services, more specifically during the migration of their resources. We describe the considered architecture, its main building blocks and their interactions based on an extended version of the TOSCA orchestration language. The trusted third party is capable to perform a precise and exhaustive vulnerability assessment, without requiring the cloud provider and the cloud tenant to share critical configuration information between each other. After designing and formalizing this third party solution, we perform large series of experiments based on a proof-of-concept prototype in order to quantify its benefits and limits.
An ICS Traffic Classification Based on Industrial Control Protocol Keyword Feature Extraction Algorithm

Industrial control protocol feature extraction is an important way to improve the accuracy and speed of industrial control protocol traffic classification. This paper firstly proposes a keyword feature extraction method for industrial control protocol, and then designs and implements an industrial control system (ICS) traffic classification based on this method. The proposed method utilizes the characteristics of the relatively fixed format of the industrial control protocol and the periodicity of the protocol traffic in ICS. The keyword features of the industrial control protocol can be accurately extracted after data preprocessing, data segmentation, redundant data filtering, and feature byte mining. A feature dataset is then formed. The designed ICS traffic classifier adopts decision tree and is trained with the feature dataset. Experiments are carried out on the open-source dataset. The results show that the proposed method achieves 99.99% classification accuracy, and the classification precision and classification recall rate reach 99.98% and 99.93%, respectively. The training time and predicting time of classifier are 0.34 s and 0.264 s, respectively, which meets the requirements of high precision and low latency of industrial control system.
Visual Signifier for Large Multi-Touch Display to Support Interaction in a Virtual Museum Interface

The signifier is regarded as a crucial part of interface design since it ensures that the user can manage the device appropriately and understand the interaction that is taking place. Useful signifiers keep users’ attention on learning, but poorly designed signifiers can disrupt learning by slowing progress and making it harder to use the interface. The problem is that prior research identified the qualities of signifiers, but their attributes in terms of being visually apparent in broad interaction areas were not well recognized. Implementing the signifier without sufficient visual features such as a picture, figure or gesture may interfere with the user’s ability to navigate the surface, particularly when dealing with domains that demand “leisure exploration,” such as those in culture and heritage, and notably the museum application. As technology has evolved and expanded, adopting a multi-touch tabletop as a medium of viewing should be advantageous in conserving cultural heritage. As technology advances and improves, employing a multi-touch tabletop as a public viewing medium should be advantageous in maintaining cultural heritage. Some visual elements should be incorporated into the signifier to produce a conspicuous presentation and make it easier for users to identify. In this study, a preliminary study, a card sorting survey, and a high-fidelity experiment were used to investigate users’ experience, perspective, and interpretation of the visual signifier of the museum interface for large displays. This work offered a set of integrated visual signifiers on a big multi-touch display that makes a substantial contribution to supporting navigation and interaction on a large display, therefore aiding comprehension of the exhibited information visualization.
Data security in cloud environment using cryptographic mechanism

Virtual computing resources are provided via a cloud system that is both clever and intelligent. Based on the user's request, computing resources are made available. A hybrid cloud is the best option for storing and accessing user data for cloud deployments. Maintaining security in a hybrid cloud environment is time-consuming. This study provides a novel strategy for securing data in the hybrid cloud by ensuring the user's data is protected. Users' data in a hybrid cloud is protected using cryptographic approaches provided in this approach. Using this strategy, users' data may be protected in public and private clouds using various encryption methods. The suggested data security paradigm offers various advantages to both consumers and providers in terms of data security. Three symmetric encryption methods are offered as a service in the cloud. The concept is implemented as a cloud-based application hosted in the cloud, and the effectiveness of three strategies is assessed. They are evaluated in terms of performance and security. Using the recommended encryption methods in a hybrid cloud environment is more efficient than using other methods. The proposed technique can be used for relational data. It can be modified and enhanced to process multimedia data.
Self-Assessment of the Professional Competence of Preschool Teaching Student

One of the objectives of the European Higher Education Area is to promote the development of competences, with an emphasis on those competences that people need to maintain their current quality of life and high level of employability in the face of a changing society and labor market. This study analyzed the self-assessment of student preschool teachers’ professional competence, using a tool (survey) for assessing teachers’ professional competence. A structure of preschool teachers’ professional competence was analyzed. The results indicate that the developed survey can be used as a tool for the self-assessment of teachers’ professional competence. The most highly evaluated sub-competences were general tasks of ensuring professional activity; implementation of learning process; and improvement of professional competence. The data analysis revealed that the question “Is the work related to the field of study?” with the statements included in the survey sections “Implementation of the learning process” and “Improvement of professional competence” is an important indicator in the self-assessment of professional competence among student preschool teachers for the material situation.