Reviewerly/exHarmony huggingface dataset:
The impact of AI technology on organisational efficiency: Analysing the pros and cons of digitalisation in the context of UAE

This research aimed to evaluate the impact of AI technology on organisational efficiency while discussing the pros and cons of digitalisation. The data has been collected from different organisations and sectors of the UAE through semi-structured interviews. The sample size of the research was 12 IT managers while the data assessment was based on a thematic analysis technique. The research outcomes disclosed that AI is beneficial for all sectors and positively contributes to organisational efficiency, but it does not come with challenges. To obtain maximum benefit from AI applications, it is pivotal for companies to address the associated challenges. AI’s inefficiency in culturally diverse interactions is a relatively new finding that has been gained from the research outcomes. Further, unleashing the measures taken by the UAE government to handle the issues associated with AI has been less discussed in the existing literature.
Internet of Things and Cloud Computing Integration of Opera Elements into Vocal Singing Teaching Practice Exploration

INTRODUCTION: With the rapid development of computer technology, the application of the Internet of Things and cloud computing technology is becoming more and more common. However, there is no more computer technology integration in integrating opera elements into vocal singing teaching. Therefore, compared with other industries, the development of verbal singing teaching could be faster and adapt to the current era of the Internet of Things and cloud computing. Thus studies the exploration of the practice of integrating opera elements into vocal singing teaching based on the Internet of Things and cloud computing.&#x0D; OBJECTIVES: To improve the level of China's Internet of Things and cloud computing technology-based opera elements into vocal singing teaching practice; to solve the current problem of China's traditional culture not being integrated into verbal singing teaching; to promote the development of China's opera industry, the modernization of oral singing teaching, and to enhance the relevance of the Internet and economic development.&#x0D; METHODS: In the study, firstly, the Internet of Things (IoT) and cloud computing technology are used for the establishment of the evaluation model; secondly, the feasibility of integrating opera elements into vocal singing teaching is analyzed through theoretical discussions; lastly, through the analysis of the model of the Internet of Things (IoT) and cloud computing, the feasibility of integrating opera elements into vocal singing teaching is illustrated by the analysis of the model of the Internet of Things (IoT) and cloud computing, and how the Internet of Things and cloud computing can assist opera elements to be integrated into vocal singing teaching.&#x0D; RESULTS: Using the Internet of Things and cloud computing technology to enrich the vocal singing teaching model from multiple perspectives can better enhance the integration of opera elements into verbal singing teaching. Internet of Things and cloud computing technology play an auxiliary role in the integration of opera elements into vocal singing teaching; the study of the additional mechanism reveals that the effect of the integration of opera elements into verbal singing teaching can be improved through the improvement of the means of the auxiliary function.&#x0D; CONCLUSION: As a representative of Chinese culture, the integration of opera elements into vocal singing teaching practice is of great significance, and the Internet of Things and cloud computing technology play an essential role in helping the integration of opera elements into vocal singing teaching practice.
LOCAL-MODULAR TECHNOLOGY OF ORGANIZING INDEPENDENT WORK TO DEVELOP STUDENTSʼ ENTREPRENEURIAL SKILLS

The main purpose of independent work in the continuing education system, especially in HEIs, is to form and develop the knowledge, skills and abilities necessary for the student to independently complete certain educational materials under the guidance and supervision of a facilitator-teacher. Some views and solutions on this topic are expressed in the article.
Representation of Power through Politeness Strategies in Bridgerton Season 1 Movie

Power can change how people act, how they think, what they do, and what policies they follow. People can reflect their power through the use of politeness strategies in their speech. This study aims to identify the types of politeness strategies and sub-strategies used in characters of Bridgerton Season 1 and explain how power is represented through politeness strategies. Its scenes and dialogue show qualities of decency and strength that need more exploration using the design of descriptive qualitative method. The pragmatic analysis in this study employed the theory of politeness strategy and the representation concept. The findings showed the use of bald on-record strategy, positive and negative politeness strategies, and off-record strategy. In addition, the representations of each strategy involved reflective, inflectional, and constructionist approaches. In the movie, the royal family, which includes kings, queens, princes, and their heirs, performed a symbol of power that plays a role in how power is used. Notably, the royal family serves as the show's symbol of power, highlighting its link to supremacy and authority. It implied that power is a sovereign thing based on authority and sovereignty. As the implication of this study, the future researchers should use sources of information that cover wider contexts.
Deterrence in cyberspace: A Game-Theoretic Approach

This novel application of the Stackelberg leader-follower game from economic theory illuminates situational constraints that point to a sweet spot, an optimal level of investment in cyber defense, for deterrence by denial.
Design and Build an Information System for Management of Incoming and Outgoing Mail Archives Based on a Website at the Bandung Subdivre Logistics Affairs Agency (BULOG)

The design of information for managing incoming and outgoing mail archives is made to solve problems that occur in the Agency for Logistics Affairs (BULOG) Subdivre Bandung in terms of managing mail archives, namely manual mail archives management, causing data loss. This research was made based on a method approach in collecting the information data needed in order to make a description of the situation, event. While the system development method used is the RUP (Rational Unified Process) model with OOAD (Object Oriented Analysis and Design) where the development tool is in the form of UML (Unified Modeling Language). The purpose of the research and from the interviews that have been carried out, the solution to overcome the above problems is to create a website-based mail archive system that can be accessed anytime and anywhere.
Solving k-Closest Pairs in High-Dimensional Data

We investigate the k-closest pair problem in high dimensions, that is finding the $$k \ge 1$$ closest pairs of points in a set $$S \subseteq \mathcal {X}$$ in a metric space $$(\mathcal {X}, \text {dist})$$ . This is a fundamental problem in computational geometry with a wide variety of applications, including network science, data mining, databases, and recommender systems. We propose an exact algorithm with a controllable failure probability, thus allowing the user to specify the desired recall. Our algorithm has expected subquadratic running time under mild assumption on the distance distribution, relying only on the existence of a Locality Sensitive Hash family for the metric at hand. We complement our theoretical analysis with an experimental evaluation, showing that our approach can provide solutions orders of magnitude faster than current state-of-the-art data structures designed for specific metrics.
THE QUALITY OF EDUCATION AND THE MAIN ASPECTS OF THE CHOICE OF TEACHING METHODS

The article analyzes the quality of education and the diversity of methods and perspectives of development stages. Also the article shows the processes of teaching and educating the students with the help of what kind of methods in the moders pedagogical situation. The teaching methodology is aimed at activating teaching methods, the process of educational and cognitive activity, strengthens it. The teaching methodology is aimed at activating teaching methods, the process of educational and cognitive activity, strengthens it.
Optimizing the Implementation of Computer-Based Exams to Paperless in the Department of Chemistry of Musamus University

This research is a descriptive study that aims to optimize the implementation of computer-based exams in minimizing the use of paper in the Department of Chemistry of Musamus University. The subject of this research is the fifth semester students of the Chemistry Education Department in the Classroom Action Research Course. The research data was obtained through a student response questionnaire with the implementation of a computer-based exam filled in via the Google form. From the results of descriptive data analysis it was obtained that the response of students to the implementation of computer-based exams was positive with an average value of student responses of 83.08%. The conclusion that can be obtained from this research is that the computer-based test with the wondershare quiz creator software can minimize the use of paper. In addition, computer-based exams can make students independent in working on problems, as well as accelerated acceptance of student exam results.
Performance of Artificial Intelligence Applications on Embedded Parallel Platforms Using Python as the Language Tool

There has been a massive upsurge in the application of Artificial Intelligence (AI) in practically every domain, however, these advancements have also led to an immense demand in computational powers. Most verticals meet these demands by leveraging central cloud based computing systems, however, in real-time systems or in environmentally constrained systems, this is not a viable solution. Thus, these applications make use of heterogeneous embedded computing systems using language tools such as C, C++, Java, and more recently Python. The efficiency of these AI Applications on heterogeneous embedded computing systems using language tools such as C, C++, etc. have been well researched into yet very little work has been done on using Python as the language tool. This paper aims to study the performance of AI Applications on embedded parallel platforms using Python as the language tool and compare these results with its C language counterpart.
Analysis of UT Student Satisfaction with the Tuweb system using CSI, IPA &amp; SEM-PLS

One form of development in the world of learning as a result of developments in information and communication technology (ICT) is that distance learning is possible. The Open University, a public university, uses various modes of learning has also experienced changes in the modes of learning for students who decide to study in person during class. Coupled with the Covid-19 pandemic, this change is a change in the learning system from the TTM mode which is replaced by Tuweb (blended learning that is held online). This study aims to analyze user or UT student satisfaction with the Tuweb system using the Servqual dimension. The data source came from the UT student population at UPBJJ UT Denpasar, where the determination of respondents was carried out using a purposive sampling technique. The Customer Satisfaction Index (CSI), Importance Performance Analysis (IPA), and Structural Equation Modeling (SEM) using Partial Least Squares (PLS-SEM) are the analytical techniques used. The results of the slices of the three methods (CSI, IPA and SEM-PLS) is that Tuweb UT's services get quite satisfied ratings from students, where the variable that gives excellence to Tuweb UT is empathy. As a note for improving the tuweb service from UT, the Tuweb service has the availability of a learning service response at any time and place (responsiveness variable) and the Tuweb service has better speed accuracy than the promised speed accuracy (reliability variable).
The big challenge: Integrating digital teaching competence in the training of pre-service teachers

Preparing teacher candidates for teaching in the 21st century is a great challenge for universities. Teacher training programs must provide trainees with both theoretical and practical knowledge and opportunities for developing professional competences in the digital world. The aim of this study is to explore the perceptions of a group of pre-service teachers from a Catalan university on whether their training program and internship enabled them to develop their digital teaching competence. While developing this study, we deployed various qualitative and quantitative instruments of data collection and analysis. Results reveal there are weaknesses in their current training practices but also suggest that a process of change is taking place.
The Influence of Accounting Information Systems on Employee Performance at PT. Samudera Indonesia Tbk

Employee performance must be improved continuously. To improve employee performance, an accounting information system is needed that can assist employees in completing each job and produce financial information that is used in the company's important decision-making process. This research was conducted to determine the effect of accounting information systems on employee performance at PT. Samudera Indonesia Tbk. The sample consisted of 40 employees who used an accounting information system. The analytical tools used are validity test, reliability test, Spearman rank correlation analysis, simple regression analysis, coefficient of determination, and t-test. The research results show that the accounting information system has a positive and significant effect on employee performance.
Implementation of a Web-Based Accounting Information System for Management of Consumable Goods Inventory Case Study: Banjarbaru City Regional Revenue Service Unit

An Accounting Information System (AIS) for inventory of consumable goods is important in inventory management, transaction recording and financial reporting. A consumables inventory AIS helps in monitoring stock, calculating inventory costs, and ensuring proper accountability within the company. The problems that occur in the inventory recording system for consumable goods, namely that the recording that is still being carried out is not in accordance with applicable accounting so that the physical entry and exit of goods cannot be known periodically and there is no SIA for the Banjarbaru City Regional Revenue Service Unit. This research aims to create a Web-based SIA for inventory of consumables at the Banjarbaru City Regional Revenue Service Unit. This research method uses the case study method. The results of the research found that web-based AIS for managing supplies of consumables at the Banjarbaru City Regional Revenue Service Unit runs more effectively and efficiently.&#x0D; Keywords: Accounting Information Systems, Consumables, Accounting Application Programs.
Detecting faces in specific scenarios: Systematic Literature Review

Facial detection is a base component for multiple applications in the fields of biometrics, surveillance, human-robot interaction and others. Although significant progress has been made in the field over the past decade, there are still gaps to be addressed, particularly in specific scenarios as the presence of partial occlusion, variations of lighting, pose, and scale among others. This work aims to provide a comprehensive evaluation of recent studies on facial detection in the wild through a systematic literature review. The review includes a focus on the use of scenario-specific information within the field. A total of forty-five papers were analyzed to provide an overview of the field, incorporating information on scenarios.
Multiple interaction strategies for mobile robots based on improved dynamic window approach in unknown dynamic environments

Purpose The purpose of this paper is to solve the problem that mobile robots are still based on reactive collision avoidance in unknown dynamic environments leading to a lack of interaction with obstacles and limiting the comprehensive performance of mobile robots. A dynamic window approach with multiple interaction strategies (DWA-MIS) is proposed to solve this problem. Design/methodology/approach The algorithm firstly classifies the moving obstacle movement intention, based on which a rule function is designed to incorporate positive incentives to motivate the robot to make correct avoidance actions. Then, the evaluation mechanism is improved by considering the time cost and future information of the environment to increase the motion states. Finally, the optimal objective function is designed based on genetic algorithm to adapt to different environments with time-varying multiparameter optimization. Findings Faced with obstacles in different states, the mobile robot can choose a suitable interaction strategy, which solves the limitations of the original DWA evaluation function and avoids the defects of reactive collision avoidance. Simulation results show that the algorithm can efficiently adapt to unknown dynamic environments, has less path length and iterations and has a high comprehensive performance. Originality/value A DWA-MIS is proposed, which increases the interaction capability between mobile robots and obstacles by improving the evaluation function mechanism and broadens the navigation strategy of DWA at a lower computational cost. After real machine verification, the algorithm has a high comprehensive performance based on real environment and provides a new idea for local path planning methods.
ERNIE and Multi-Feature Fusion for News Topic Classification

Traditional news topic classification methods suffer from inaccurate text semantics, sparse text features and low classification accuracy. Based on this, this paper proposes a news topic classification method based on Enhanced Language Representation with Informative Entities (ERNIE) and multi-feature fusion. A semantically more accurate representation of text embedding is obtained by ERNIE. In addition, this paper extracts word, context and key sentence based on the news text. The key sentences of the news are obtained through the TextRank algorithm, which enables the model to focus on the content points of the news. Finally, this paper uses the attention mechanism to realize the fusion of multiple features. The proposed method is experimented on BBCNews. The experimental results show that we achieve classification accuracies superior to those of the compared methods, while validating the structural validity of the proposed method. The method in this paper has a positive effect on promoting the research of news topic classification.
Alma and Primo VE Library Management System Migration in a Consortia Environment

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PENGARUH MEDIA PEMBELAJARAN E-ATLAS DENGAN MOTIVASI BELAJAR SISWA SMA

E-Atlas was assessed using an assessment instrument in the form of a product quality assessment questionnaire by 1 media expert, 1 material expert, and paired t-test of 15 class XI students at SMA. The results of the E-Atlas of So (Scleroderma aurantium) Morphological Character assessment by media experts obtained an average score of 83.75% with quality in the feasible category, material experts scored 89.6% with quality in the very feasible category, and the biology teacher's assessment get a value of 96.25% with quality in the very decent category. The results of the paired t-test were found to be Sig.(2-tailed) of 0.000 0.05, so it can be concluded that there is a significant difference between the results of data collection before and after being given E-Atlas media.
ADS-B driven implementation of an augmented reality airport control tower platform

Abstract. This paper describes a real-world implementation of the solutions developed within the SESAR DTT Solution 97.1-EXE-002 project, which tested in a simulated scenario the use of Augmented Reality (AR) to assist the airport control tower operators (TWR). Following a user-centred design methodology, the requirements of a real-world live AR platform join with design concepts validated in previous projects, namely the Tracking Labels, the weather interface, and a low-visibility overlay, all used to increase the TWR situational awareness, performance and reactivity while reducing the workload. The designed AR platform performs the live tracking and visualization of real aircraft and surveillance information in the airport traffic zone. It bases on three key processes: the transmission of an ADS-B data flow to a Microsoft™ HoloLens2, the registration process of the AR platform, and the rendering of a real-time tracking system and other surveillance overlays. The concept has been first validated with the help of a TWR, preceding a technical validation to ensure the repeatability and reproducibility of the results. The results allow for defining new guidelines for the deployment in a control tower environment.
Regulating Online Hate Speech through the Prism of Human Rights Law: The Potential of Localised Content Moderation

Abstract This article explores whether international human rights standards can provide insights into the following questions: who can and should define what constitutes ‘hate speech’ for online moderation, and how can hate speech be detected and moderated on social media platforms? Regarding who should moderate hateful content, the article underscores the responsibility of social media companies, in reference to international human rights law and principles on business and human rights. This paper advocates for a multistakeholder approach where companies work in partnership with and under the monitoring of state actors, civil society and other relevant stakeholders. Given the complexity of what constitutes hate speech, the article proposes the localisation of terms of service and guidelines of social media companies. This approach, in line with human rights standards, enables the meaningful involvement of local experts and civil society groups in formulating, implementing and monitoring online community rules. Addressing the question of how social media companies can detect and moderate hate speech, the article argues that a globally standardised approach reliant on AI content moderation is limited in detecting contextual nuances of hate speech. Drawing from international human rights tools like the Rabat Plan of Action, the article suggests that social media companies should consider diverse local contexts for better interpretation and effective detection, with qualified human moderators with local knowledge and oversight boards with local expertise. By taking a human-centered, localised approach to content moderation and collaborating with relevant stakeholders, businesses can contribute to creating a digital space that upholds fundamental rights, prevents harm, and encourages inclusivity and diversity.
Training Bachelors in Computer Science and Computer Engineering

The chapter discusses the problems of training IT specialists in universities. The authors argue in favor of improving this training, which requires a special attitude both to the content and technical support, as well as to teaching methods and forms. Among the most demanding issues are the difference between the scientific field and the scientific content of academic disciplines, the inevitability of the emergence of new academic disciplines on an interdisciplinary basis, the need to attract specialized IT specialists. An approach to training IT specialists through interdisciplinary forms and teaching methods is proposed and discussed by the authors. This approach is based on the creation of training courses at the junction of several disciplines. An example of applying an interdisciplinary approach to the preparation of a bachelor's in computer science and computer engineering is discussed.