Reviewerly/exHarmony huggingface dataset:
Whataboutisms: The Good, the Bad and the Ugly

The rhetorical function of whataboutism is to redirect attention from the specific case at hand. Although commonly used as a rhetorical move, whataboutisms can appear in arguments. These tend to be weak arguments and are often instances of the tu quoque fallacy or other fallacies of relevance. In what follows, I show that arguments involving a whataboutist move can take a wide variety of forms, and in some cases, they can occur in good arguments. I end by considering how whataboutist arguing in social justice contexts can be harmful to arguers and to the audiences for their arguments.
Teachers Receptiveness of Inclusive Education in A Blended Learning Modality: The Division of Laguna Experience

Abstract: This study determined the extent of teachers’ receptiveness of inclusive education in a blended learning modality in the Division of Laguna The study utilized the mixed method. For teachers, it is acceptable to have inclusive education and they are willing to adjust in any curriculum related aspect they are just worried on student behavior since they are not always acquainted with them. Teachers support the goal of education to integrate students with special needs into a flexible learning environment in order for them to obtain quality education that maximizes their potential for holistic development. The self-assessment of teacher respondents on the extent of their receptiveness of inclusive education in a blended learning modality were not influenced by their personal characteristics. Teachers are challenged with lack of teachers’ training and experience, students’ learning curve and motivation, diverse learners, parental involvement, availability of resources and new normal teaching strategies. Teachers experienced difficult yet engaging and exciting teaching. They were able to think of flexible teaching pedagogies to promote students’ needs and motivation. With these they experience continuous professional development. Inclusion
Solar Power Heliostat Control Using Image Processing Technology and Artificial Neural Networks

Sun tracking is very important to improve the efficiency of the concentrated solar panels (CSP) output power.Hence, high-accuracy sun tracking is needed.In this paper, we propose an innovative approach for the heliostat optimal orientation, overall, the solar tower using a hybrid image processing technique (IPT) and artificial neural networks (ANN).The main objective is to minimize the tracking error and increase the solar power tower plant performance.Image processing is used to locate the Sun position and help the heliostat to achieve its optimal direction.Moreover, using MATLAB/Simulink, the neural network approach is applied in order to simulate the IPT and generalize the heliostat tracking positions.
Information and digital literacy competencies in a virtual degree

The article explores the perception of undergraduatestudents at a public state university in Mexico, regarding their experience after completing the Multimodal Transversal Learning Unit Information and Digital Literacy. The research explores two aspects: self-perception of students regarding their level of achievement in specific digital competencies and main learning outcomes after completing the course. It also reports their assessment in five aspects: syllabus, educational resources, learning activities, coverage of the cross-cutting themes throughout the course, as well as operation of the Learning Management System and technical support. The research was quantitative, through a survey applied to 16 students in the first group that completed the curricular unit. Among the results, the following are reported: perceived levels of achievement in different competency indicators, best valued competencies, and overall assessment of the course by the students. The highest levels of achievement reported are in indicators associated with the students’ daily practices interests. The lowest levels of achievement are in the areas of algorithmic understanding and the generation of original contributions and digital content.
Team Barriers to Tacit Knowledge Sharing in Software Development Project Teams

Software Development Projects (SDPs) are being conducted at a rapid rate in response to the Fourth Industrial Revolution (4IR), even though SDPs are associated with very high failure rates. Their failure rate of SDPs has been declared as an International Crisis. SDPs are knowledge intensive in nature, whereby knowledge is essential when performing socio-technical tasks within SDPs. One of the reasons for the failure of SDPs is limited sharing of tacit knowledge within SDP teams. Limited tacit knowledge sharing within SDP teams results in the teams not being in position to perform their socio-technical tasks to the required standards which leads to success of SDPs. The main purpose of this research study was to identify the team-oriented barriers that limit the sharing of tacit knowledge within SDP teams. The researchers conducted a qualitative study and relied on qualitative data to achieve the objectives of the study. The qualitative data were collected through interviews and thematic data analysis was conducted to generate the results. A total of seven team-oriented barriers were identified includes team-culture, team-orientation, team-dispersion, team-cohesion, team-characteristics, trust, and communication. These issues are related to each other and influence one another in a positive way. These barriers stem from the entire SDP team, which is responsible for ensuring the success of SDPs.
A Lightweight Trusted Architecture and Service Mechanisms based on SylixOS

With the advent of the Internet of Things (IoT), more and more embedded systems have been becoming networked and autonomous, however, which also brings a serious challenge to security. After analyzing the theory about trusted computing and dependable characteristics of embedded systems, in this paper, a lightweight trusted architecture has been studied, and further, several service mechanisms are proposed. In this architecture, trusted software base with whitelists is firstly established as the key foundation. On this basis, two main mechanisms: identity authentication of legal tasks and permission management of legal tasks, are designed for guaranteeing the running-time trust of an embedded system. Through the previous mechanism, any illegal task could be detected and prohibited in real-time. And via the latter, the behavior of any legal task could be restricted in the right range during its running. Finally, all these designs have been implemented within SylixOS as lightweight trusted services, and further, verified with several typical test cases we designed. In general, the thought of this work can also be a general and feasible reference for the development of trusted embedded systems running in a networked environment.
A New Blockchain Business Contract Security Defense System Based on Logical Judgment

The world of web3 is currently being plagued by security risks. In the first half of 2022 alone, web3 projects have lost more than $2 billion due to various security issues, out of which more than 76% of the projects have been audited. At present, the main attack surfaces on the web3 chain, including oracle manipulation, logical loopholes across smart contracts and MEV front-running transactions, cannot be defended through the current mainstream security methods, such as contract auditing, and can only be passively defended after receiving the alerts of malicious attacks. Hence, there is a huge demand for more proactive defense products in the market. However, most of the existing security products and security defense solutions are limited in defense capabilities, as they rely on external mechanisms and thus cannot effectively identify and counter hacker attacks during the contract execution. This paper proposes a new security system for smart contracts on the blockchain and demonstrates how it can actively defend against malicious attacks and provide effective protection for assets on the blockchain through experimental verification and comparison. It compares the existing on-chain security verification solutions as well as the engineering development model and performs logic-based argument verification during on-chain transaction execution and high-precision computation-intensive verification in the off-chain sandbox environment, thereby can prevent risky transactions, protect assets, and promote the security and development of the entire web3.
Semiotic Analysis of Naked Director 2 Movie Poster

Naked Director 2 is a sequel to the first Naked Director where the film tells about the Adult Film Industry in Japan, the film tells of an adult film director and producer, Toru Muranishi, who achieves his goal of being a legend in the industry. The 1980s where in that year the Adult Film Industry was at its peak as well as satellite technology was just being discovered. The purpose of this study is to find out the meaning of the Naked Director 2 Film Poster so that the meaning of the poster is known to find out the meaning or visual meaning contained in the film poster. An appropriate method is needed where the method that is in accordance with this research is the Roland Semotics Method. Barthes where in this method every visual contained in the poster will analyze its meaning and significance, the benefit of this research is to increase knowledge in the field of semiotics, especially semiotics and a film poster
Research on the Construction of Smart Educational Administration System in Colleges and Universities Empowered by Artificial Intelligence Technology

Artificial intelligence (AI) technology promotes the reform of teaching and gives new momentum to the development of smart educational administration system (SEAS) in colleges and universities.In order to explore the direction and approach of the construction of SEAS, this paper adopts the methods of literature research, survey and interview, development and design to conduct theoretical research and practical exploration of the construction of SEAS: It proposes a three-step construction path of environment construction, mode reform and regulation establishment, and creates a design scheme of SEAS for intelligent education, and uses AI technology for development and application.This paper has certain theoretical significance and practical value for promoting the healthy and steady development of SEAS.
Pricing Strategy Comparison in Blockchain based Distributed Energy Systems

Nowadays, researchers are trying to improve and find new ways and methods to mitigate climate change and increase energy efficiency. Areas of study include smart grid, smart grid, distributed energy systems, accumulative and renewable energy sources. Renewable energy integration, system operation, transparent spending system and data integrity are the common challenges facing distribution network providers. The overall, holistic view of the technologies listed above about delivering and consuming any kind of energy has many aspects that need to be studied and optimized. Good compatibility with distribution systems is characterized by modern blockchain technology and multi-agent system. Blockchain has very good data protection, immutability and transparency properties in transactions. Its decentralized nature and automatic calculation system can bring great potential in terms of financing and calculation in the energy sector. In this thesis article a novel process to coordinate, allocate and settle energy transactions in a district multi-carrier energy system. The process operates in a decentralized way, fully on-chain. The design leaves producers the freedom to choose their preferred pricing strategy for profit maximization. The price-availability-based allocation system guarantees consumers the lowest possible cost.
Application of Database Testing Techniques in Web Development

In recent years, the saying of the information age has been deeply rooted in people's hearts. In the context of the rapid development of Internet technology, big data technology, and network information technology in China, the security of Web development and application have been paid more attention to. In the process of Web development and application, database testing technology is one of the indispensable links, the results of which will provide technical suggestions for Web development and improve the efficiency of the application. Based on it, this paper discusses the application of database testing techniques in web development, aiming to provide some help for related systems and platforms.
Intelligence Design and Application of Inquiry Management System for Deep-sea Nautical Data Resources

In order to promote the sharing of teaching and training resources for deepsea navigation and improve the level of information management, in view of the spatial and confidential characteristics of deep-sea nautical data resources, the deep-sea nautical resources intelligent query and management system was designed and applicated in this paper.The online sharing and informatization management system of deep-sea nautical data resources has been established.The system can meet the needs of users to retrieve deep-sea nautical data online based on the spatial attribute information.At the same time, the process of borrowing and approving military secret-related materials through the system is strict, meeting the needs of military information security management and control.The system improves the use efficiency and management support efficiency of deep-sea nautical data resources.It can provide a certain reference for the management of navigation data resources and the construction of a co-construction and sharing system for classified resources.
The Analysis of Emoji's Usage from Japanese Generation Perspectives

Japanese people sometimes use emoji in their daily activities, especially in non-verbal communications such as text messages or posting on their social media. Therefore, the purpose of this research is to find out what kind of emojis that Japanese people of generation X, Y, and Z tend to use in their communication. This research uses library and qualitative method. Authors also conduct a survey on 90 random Japanese people. It is hoped that this research allows us to know the representation of emoji that is used between different generations in Japan.The research shows that emoji used in communication may serve as a medium to maintain harmony between generations to communicate in this digital era. Plenty of Japanese people, especially within families and friends use emoji to emphasize expressions in a sentence as well as making them more friendly. Moreover, another result of why Japanese people use emoji in smartphones is because of its practicality.
To Bias or Not to Bias: Probabilistic Initialisation for Evolving Dispatching Rules

The automatic generation of dispatching rules (DRs) for various scheduling problems using genetic programming (GP) has become an increasingly researched topic in recent years. Creating DRs in this way relieves domain experts of the tedious task of manually designing new rules, but also often leads to the discovery of better rules than those already available. However, developing new DRs is a computationally intensive process that takes time to converge to good solutions. One possible way to improve the convergence of evolutionary algorithms is to use a more sophisticated method to generate the initial population of individuals. In this paper, we propose a simple method for initialising individuals that uses probabilistic information from previously evolved DRs. The method extracts the information on how many times each node occurs at each level of the tree and in each context. This information is then used to introduce bias in the selection of the node to be selected at a particular position during the construction of the expression tree. The experiments show that with the proposed method it is possible to improve the convergence of GP when generating new DRs, so that GP can obtain high-quality DRs in a much shorter time.
Web-Based Information System Design at Kasuari Exotic Resort as Media Marketing

At this time the development of information technology is developing rapidly, where everything can be achieved and reached very practically with these technological advances. Currently, people spend a lot of their time using cellphones/smartphones to view various online media, and one of them is advertising. Kasuari Exotic Resort, which is engaged in hospitality, feels that currently the promotion methods used have not worked effectively, therefore the Company wants to utilize information technology in marketing its hotel products which is known as Kasuari Exotic Resort in Magelang Regency. To meet these needs, the researchers took the initiative to design a web-based information system at Cassowary Exotic Resort as a marketing medium created using the PHP programming language with Mysql database. Researchers analyzed the current system using the SWOT analysis method and its development using Waterfall. In the system design process, researchers used the Unified Modeling Language (UML) to design a marketing system. This research has resulted in a web-based information system design at Kasuari Exotic Resort as a marketing medium that helps the marketing process for Kasuari Exotic Resort.
Blockchain Technology and its effect on Environment: A Comparative Study between Proof-Of-Work and Proof-Of-Stake

With the growing interest in cryptocurrency and blockchain by renowned companies environmental issues are also being highlighted due to the exhaustion of huge amounts of energy. This paper aims to give a primary overview of how cryptocurrencies are created by using the proof of work method and how blockchain works. Statistical references have been given to elaborate on how this process consumes high energy and increases carbon footprint causing harm to the environment. In comparison, the proof of stake method has established itself as an eco-friendly alternative. Ethereum has already manifested that using PoS can resolve the problem and is also safe for the environment.
Online Peer Advice: Giving Advice on Chinese Social Networking Sites

This study investigates advice-giving in peer-to-peer comment sections on Chinese social networking sites.The results show that advice, explanation, experience, and assessment are the four most frequent discursive moves in Chinese advice given by peers on social networking sites.Involvement, mitigation, and face-threatening strategies are also utilized frequently by those peers to give directives and express empathy and solidarity on Chinese online sites, thereby building supportive relationships among them in online communities.The online peer advice-giving in this study is influenced by multiple aspects of the platform, participants, and language use, presenting distinctive characteristics that differ from other studies.
The Relationship Between Leadership Style and Employee Voice Behavior: A Meta-Analysis Based on Random-Effects Model

Previous studies have shown that leadership style in the business affects the employee voice behavior.Nevertheless, the correlation between leadership style and employee voice behavior showed varying results.This meta-analysis synthesizes research on the relation between leadership style (Including transformational, transactional, ethical, authentic, charismatic, servant and inclusive) and employee voice behavior.A randomeffects model was used to calculate the mean weighted product-moment correlation (r) for 158 studies with 54983 subjects.The results of the study showed that researchers should attend to the difference in leadership styles in order to more effectively encourage employees to speak up and provide support for further investigation of leadership theory and employee voice.
Deep Reinforcement Learning for Video Summarization with Semantic Reward

Video summarization aims to improve the efficiency of large-scale video browsing through producting concise summaries. It has been popular among many scenarios such as video surveillance, video review and data annotation. Traditional video summarization techniques focus on filtration in image features dimension or image semantics dimension. However, such techniques can make a large amount of possible useful information lost, especially for many videos with rich text semantics like interviews, teaching videos, in that only the information relevant to the image dimension will be retained. In order to solve the above problem, this paper considers video summarization as a continuous multi-dimensional decision-making process. Specifically, the summarization model predicts a probability for each frame and its corresponding text, and then we designs reward methods for each of them. Finally, comprehensive summaries in two dimensions, i.e. images and semantics, is generated. This approach is not only unsupervised and does not rely on labels and user interaction, but also decouples the semantic and image summarization models to provide more usable interfaces for subsequent engineering use.
Modeling Trust Relationships in Blockchain Applications: The Case of Reconfigurable Systems-on-Chip

Nowadays, System-on-Chip (SoC) components are found everywhere in all kinds of smart devices. Each System-on-Chip contains many different blocks that provide specific functionalities, such as WiFi or Bluetooth connectivity. Whereas integrating each such block in a SoC typically requires paying some royalties, not all blocks are necessary for all applications, or throughout a device's lifecycle. Moreover, it is not possible to manufacture a specific SoC for each application. Significant advantages are therefore expected to be gained by enabling trustworthy remote SoC reconfiguration throughout their life cycles. A few approaches attempting to address this challenge have been proposed in the literature. They are typically based on Blockchain technology in order to support decentralization without relinquishing trust. Reviewing these approaches lead us to identify a potential flaw in the proposed protocols. Indeed, a SoC should be able to trust Blockchain information that it is given, without requiring any centralization. In order to validate our suspicions, we propose in this paper to use Verifpal: a cryptographic protocol verification tool that works from textual protocol models. We use it in a slightly unorthodox way in order to model the trust relationships in one of the approaches from the literature, and to verify it. The results show that, under some assumptions, a flaw is indeed present. We propose and model several possible fixes, and present their respective limitations.
Use of ICT and Social Media in Next Generation Libraries

ICT and Next Generation Libraries are facing new challenges, particularly in this digital era, with so many new information sources. The reading habits of users are constantly evolving, and their ICT skills are producing a considerable shift in their reading habits. As a result, readers' expectations and requirements are changing as well as expanding. This field's current modifications may lead to a new walk in the near future. Librarians and library professionals are also experimenting and seeking innovative approaches to address these new challenges. Libraries are being turned into information centre, e-libraries, and digital libraries as a result. Many new technologies and techniques are being used in digital libraries. The digital library does, in fact, bring us closer together than we have ever been before. These are systems that provide users with consistent access to a significant amount of data and knowledge. ICT and social media have also been vital in addressing new difficulties and establishing new tools and methods to meet expanding user expectations. This is an attempt to predict how Next Generation library will evolve as a result of technological advancements and social media.