Reviewerly/exHarmony huggingface dataset:
Identifying and evaluating the challenges facing the management of digital libraries

Background and purpose: With the advancement of science and the increase of electronic resources, the need to create libraries to collect, organize and disseminate these types of resources is felt. With the growth of electronic resources, resource management has gained special importance and is one of the important areas and issues in the discussion of digital libraries. In this study, the aim is to examine the issues and challenges facing the management of digital libraries and provide solutions to solve the challenges and issues facing digital libraries and digital library management. Research method: The current research is applied in terms of purpose and survey research in terms of method. The current research has been conducted by field method and using library techniques, and the researchers have presented digital library management approaches by reviewing the published texts on digital libraries and digital library management issues. Findings: The results of the research showed that the most important components of digital library management include human resources, management of shared resources, author's right to update resources, cataloging and maintaining the technical structure. Also, the surveys showed that the most important challenge facing digital libraries is the issue of intellectual property and compliance with copyright laws. Conclusion: The results of the research showed that in digital libraries, as in traditional libraries, measures must be taken in the field of collecting, organizing, storing and disseminating information, and it is not possible to carry out the above-mentioned activities without a competent manager. Digital library management leads to the creation of coordination between different parts of the digital library and helps the library to achieve the desired goals. The digital library is facing many issues and challenges, including financial and budget issues, issues related to expert human resources, issues related to digital equipment and internet infrastructure, issues related to author's right and copyright, issues related to the lack of devices. Digitization and security of important information resources and documents and finally issues related to the protection and maintenance of digital resources are faced, which cannot be solved except with the presence of a capable manager and strong human resources of the library.
Chinese Named Entity Recognition Based on Boundary Enhancement with Multi-Class Information

Compared with English named entity recognition (NER), Chinese NER faces significant challenges due to the flexible, non-standard word formation and vague word boundaries, which cause a lot of boundary ambiguity and reduce the accuracy of entity identification. To address this issue, we propose a boundary enhancement with multi-class information model (BEMCI). The model integrates multiple types of information into text embedding while enhancing the subsequent syntax-structure information. A syntactic information analysis module is designed to highlight important syntax information from three aspects, namely part-of-speech tags, syntactic constituents, and dependency relations, to analyze sentence structures. Meanwhile, an improved contextual attention mechanism, which combines contextual and syntactic information using a gate mechanism to control the weight fusion, is proposed to further enhance the model’s boundary determination. Multiple sets of experiments conducted on six general datasets show that BEMCI outperforms other baselines, achieving the best results in four of these six datasets.
Real-World Evaluation of a University Guidance and Information Robot

We have developed a social robot to assist an existing support team in a large, recently-built university building designed for learning and teaching. Over the course of a week-long, supervised deployment, we collected long form questionnaire results (N = 59) on attitudes and feelings towards the robot from students and staff. We observed an overall positive response to the robot, but with a wide variety of specific opinions. We describe the limitations and challenges we found with the real-world deployment and outline next steps to allow an unsupervised deployment of the robot as part of the university’s wider service delivery strategy.
Measuring Willingness to Accept Social Robot’s Recommendations (WASRR)

Social robots are increasingly being used in the hospitality industry to provide service recommendations. Recommendations have been shown to impact customer satisfaction and lead to higher sales. However, a lack of a measurement of willingness to accept social robot recommendations (WASRR) makes it difficult for managers to evaluate the usefulness of these recommendations to customers. How do consumers perceive the recommendations provided by social robots? This study will adopt Churchill (1979) and Devillis (1991) to develop the WASRR scale that will provide a strong diagnostic assessment of the recommendations. The paper will discuss the first stage of scale development, which includes a literature review, a thesaurus search, and expert panel interviews. WASRR scale will help organisations improve customer satisfaction, efficiency, and productivity by deploying social robots to provide recommendations in industries facing labour shortages. Additionally, the WASRR scale will help assess the ability of social robots to provide recommendations.
A Blockchain and IPFS-Based Anticounterfeit Traceable Functionality of Car Insurance Claims System

Due to frequent traffic accidents around the world, people often take out car insurance to mitigate their losses and receive compensation in a traffic accident. However, in the existing car insurance claims process, there are problems such as insurance fraud, inability to effectively track and transmit insurance data, cumbersome insurance procedures, and high insurance data storage costs. Since the immutability and traceability features of blockchain technology can prevent data manipulation and trace past data, we have used the Elliptic Curve Digital Signature Algorithm (ECDSA) to sign and encrypt car insurance data, ensuring both data integrity and security. We propose a blockchain and IPFS-based anticounterfeiting and traceable car insurance claims system to improve the above problems. We incorporate the Interplanetary File System (IPFS) to reduce the cost of storing insurance data. This study also attempts to propose an arbitration mechanism in the event of a car insurance dispute.
A Multi-Angle Appearance-Based Approach for Vehicle Type and Brand Recognition Utilizing Faster Regional Convolution Neural Networks

Vehicle type and brand information constitute a crucial element in intelligent transportation systems (ITSs). While numerous appearance-based classification methods have studied frontal view images of vehicles, the challenge of multi-pose and multi-angle vehicle distribution has largely been overlooked. This paper proposes an appearance-based classification approach for multi-angle vehicle information recognition, addressing the aforementioned issues. By utilizing faster regional convolution neural networks, this method automatically captures crucial features for vehicle type and brand identification, departing from traditional handcrafted feature extraction techniques. To extract rich and discriminative vehicle information, ZFNet and VGG16 are employed. Vehicle feature maps are then imported into the region proposal network and classification location refinement network, with the former generating candidate regions potentially containing vehicle targets on the feature map. Subsequently, the latter network refines vehicle locations and classifies vehicle types. Additionally, a comprehensive vehicle dataset, Car5_48, is constructed to evaluate the performance of the proposed method, encompassing multi-angle images across five vehicle types and 48 vehicle brands. The experimental results on this public dataset demonstrate the effectiveness of the proposed approach in accurately classifying vehicle types and brands.
Assessment of Students’ Perceptions of the Mobile Application System for Checking Results

Purpose: Students have had major difficulties in locating their results at the appropriate time due to the method of pasting results on the walls across the departments or checking through a website which required login through a web browser. These methods are not always quick, smart, and fun to access thus, creating delays and making students not be aware when the results are out. This delay serves as a hindrance to students’ educational advancement and career growth. The purpose of this research is to develop a mobile result-checking Application that give students a simple way to check results with their mobile phone. Also, the research evaluates the perception and efficiency of the mobile result-checking application developed in Oyo State College of Education.&#x0D; Methodology: A well structure questionnaire measuring the efficiency and perception of the use of mobile result-checking application was administered to the students. The analyses were performed using SPSS. The relationship between categorical variables was summarized using frequency distribution and the Fisher exact test.&#x0D; Findings: The implemented mobile result-checking application works effectively on all platforms and phone brands. The perceptions and experiences of the students with the Application were positive. The features of the application were highly rated by students. A favourable user experience, positive reviews, and a user-friendly interface all contributed to the students’ adoption of the application for checking their results.&#x0D; Unique Contribution to Theory, Practice and Policy: This research has made a meaningful contribution to the Federal Government of Nigeria Tertiary Education Trust Fund digital literacy policy of transacting educational business via digital devices.
Trends in the Development of Digital Competence of Leading Teaching Staff in Crisis Conditions

This article is dedicated to analyzing the trends in the development of digital competence among educational leaders in crises. It explores the key aspects of digital transformation in the educational sector and the impact of crisis situations on the development of digital competence. The authors of the article conduct an analysis of current research and practices to identify the main trends and challenges that educational leaders face in terms of digital competence during crises. The conclusions of the article emphasize the importance of understanding and support from educational authorities in fostering the development of digital competence among educational leaders in crisis conditions. It highlights the need for individualized pathways for the development of digital competence and underscores the significant role played by Centers for the Professional Development of Educational Practitioners in this process. Recommendations and directions for further research in this field are provided to ensure the successful adaptation and advancement of digital competence among educational leaders in challenging circumstances.
Focus group method for examaining the reading habits of high-level readers

The state of reading to meet a person&#39;s needs develops over time, and this habit becomes a part of the person&#39;s life. In this study, a focus group interview was the preferred method of qualitative research. High-level readers who read more than 30 books a year were included in the study. Even though they read about 30 to 100 books a year, they still think they should improve in some respects. Their reading habits were acquired at an early age from a role model or by the encouragement of people around them. When a person feels the need to read, the habit starts to be acquired internally, but it is during later stages (high school and university period) that habits are solidified. According to this study, the most important factor in gaining reading habits are the surrounding people (parents, relatives, teachers, and friends). Moreover, it is determined that the fact that each of the participants has different experiences, opinions, and feelings about reading and that their reading orientations, desires, and expectations and the discovery of their world of meaning make them high-level readers. &nbsp; Key words: reading habit, focus group interview, high-level reader. &nbsp
Meaning and Structure of Information and Communication Competence as a Subject Competence in Teaching Informatics in Primary School

The article analyzes the research of scientists and State regulatory documents on the concept of key information and communication competence. According to the conducted analysis, the information and communication competence of a primary school student involves mastering the basics of digital literacy; the ability to safely and ethically use information and communication technologies in education and life.&#x0D; Information and communication competence belongs to the list of key competences. It is formed in an integrated educational process during the study of all educational branches. In the case of learning the computer science field, this competence is also subjective, because children learn the basics of information and computer literacy in studying.&#x0D; The article presents the structure of information and communication competence as a subjective for primary school students. Components of information and communication competence are methodological competence, research competence, model competence, algorithmic competence, and technological competence.&#x0D; The author found that there is a communicative component, which is provided in the learning outcomes of primary school students, but is not taken into the structure of information and communication competence. This component is communicative competence. Information and communication competence of a primary school student will acquire a complete structure when the sixth component - communicative competence - is included in its composition. This competence is interdisciplinary and closely intertwined with all components of information and communication competence.&#x0D; During the study of informatics, digital communicative competence is most formed during the study of the content line «Information. Actions with information». It also constantly develops integratively during the study of all other content lines of the informatics educational field.&#x0D; The author specified the structure of subject information and communication competence of primary school students and developed a model. This model contains the learning outcomes distribution of the informatics educational field according to the State Standard of Primary Education. It is graphically presented in the article.
Assistance and Development of Website Profile in Curug Sangereng Village

Curug Sangereng Village, located in the independent city of Gading Serpong, Tangerang Regency, boasts a range of complete infrastructure, including offices, health facilities, educational institutions, places of worship, shopping places, and family recreation areas. However, the village presently lacks a comprehensive village profile that can serve as a means of socializing and disseminating information to its community. The objective of this community service activity, therefore, is to develop a website profile for Curug Sangereng Village that will provide information on the village's profile, public services, MSMEs, facilities, routine activities, and news about important events. In addition to developing the website, the activity will also implement a website usage assistance program to introduce and promote the use of the developed website. The assistance and development of the website for Curug Sangereng Village are part of the community service activities undertaken by Universitas Multimedia Nusantara.
A Practical Study on Safeguarding Government Data Security

In the context of the data-driven era, big data has begun to showcase its economic and social value. Meanwhile, the big data technology, as a representative of emerging technologies, will also provide new opportunities and possibilities for government service reform. As an important part of maintaining data openness and ensuring data security, the government should not only protect the security of sensitive data, but also quickly implement data security protection without changing existing business processes, effectively controlling costs, and reducing complexity and risks. This paper highlighted the actual data security governance of government in our organization, including analyzing the nowadays status quo of digital government data security management as well as the demands on such security management, learning about the latest data security governance theory and relevant research results in China and other countries. In addition, this paper proposed countermeasures applicable to our data security governance based on relevant policies, laws and regulations, by which effective prevention and control practices for data security protection has been implemented.
MANAJEMEN METADATA ARSIP AUDIO DENGAN APLIKASI SEDERHANA PERKANTORAN PADA MUSEUM MUSIK INDONESIA

Metadata provides the necessary context to understand and organize systems, data, and content management. Thus the metadata in the archive has a fairly important role, with the existence of archive metadata it will facilitate the management of archives, both static archives or dynamic archives. At the Indonesian Music Museum in Malang City, there are various collections of audio archives from all over Indonesia which are static archives that need to be preserved for their authenticity and physicality as they are part of Indonesia's cultural heritage. The archive collection is divided into various forms, namely in the form of tape cassettes, CDs, and LPs. This study aims to describe the needs of metadata management within the scope of electronic records management. Metadata management is compiled by recording a collection of audio archives on tape cassettes for the pop song category at the Indonesian Music Museum. The metadata management development approach uses a simple office application with Microsoft Access media, so that the audio archive metadata in the Indonesian Music Museum can be digitally compiled. Of course, this can facilitate audio archive retrieval activities and their maintenance.
An Improved Depth Estimation using Stereo Matching and Disparity Refinement Based on Deep Learning

Stereo matching techniques are a vital subject in computer vision. It focuses on finding accurate disparity maps that find its use in several applications namely reconstruction of a 3D scene, navigation of robot, augmented reality. It is a method of obtaining corresponding matching point in stereo images to get disparity map. With additional details, this disparity map could be converted into a depth of a scene. Obtaining an efficient disparity map in the texture less, occluded, and discontinuous areas is a difficult job. A matching cost using an improvised Census transform and an optimization framework is proposed to produce an initial disparity map. The classic Census transform focus on the value of pixel at the center. If this pixel is prone to noisy condition, then the census encoding may differ which leads to mismatches. To overcome this issue an improved census transform based on weighted sum values of the neighborhood pixels is proposed which suppresses the noise during stereo matching. Additionally, a deep learning based disparity refinement technique using the generative adversarial network to handle texture less, occluded, and discontinuous areas is proposed. The suggested method offers cutting-edge performance in terms of both qualitative and quantitative outcomes.
Information Retrieval System for Scientific Publications of Lampung University by using VSM, K-Means, and LSA

The Lampung University repository system is a repository of data related to study, community service, and other scientific works, currently has 37242 documents accessible through repository.lppm.unila.ac.id. Despite the amount of data, its optimal use as an information retrieval remains unrealized, hindering the effective promotion of Lampung University's scientific publication excellence. Recognizing the limitations of existing information retrieval systems that are limited to specific methods for topic identification through clustering, this study aims to develop a retrieval system for Lampung University's repository using Vector Space Model (VSM), K-Means and Latent Semantic Analysis (LSA) that generates clusters and study expertise at the level of study program, faculty and Lampung University. The methodology includes data collection, preprocessing, modeling, evaluation and system deployment. The results show that the number of clusters obtained for the university level is 7 clusters, for the faculty level are 6, 7, 8 and 10 clusters, and for the program level are 3 to 5 clusters. In addition, the finding topic identification indicate that the expertise topics at Lampung University, which are agriculture, soil, education, plants, learning, society, Lampung. This study contributes to optimizing the information retrieval system, promoting academic excellence, and advancing the understanding of study expertise at Lampung University.
An Empirical Study: Automating e-Commerce Product Rating Through an Analysis of Customer Review

e-Commerce today is a remarkable experience. However, finding and purchasing a right quality product based on numerous product reviews and manual rating in the e-commerce websites utilize much time among the consumers. This paper presents the problems faced by the consumers when buying products in e-commerce websites and a solution to solve the problems. Thus, the idea of an automated product rating system would be very useful for the consumers in which it rates the products automatically based on the reviews given by the buyers. To do this, a technique called Sentiment Analysis is used. It also ranks the products in order based on the product rating that is generated automatically. It would provide a way for the consumers to purchase their desired product within minutes. Surveys and interviews were conducted to find out the problems faced by consumers when purchasing a product online through e-commerce websites. There was also research conducted to study the product rating and product review section on the current e-commerce websites. To conclude, this automated product rating system eventually eases the consumers’ effort and time from reading numerous reviews and trusting inaccurate product rating to find a best quality product for them.