Reviewerly/exHarmony huggingface dataset:
PENGARUH MEDIA PEMBELAJARAN POP-UP BOOK TERHADAP KETERAMPILAN MEMBACA NYARING PADA PESERTA DIDIK SEKOLAH DASAR

Learning media is one of the supporting factors for successful learning whose implementation is still lacking in various elementary schools in Indonesia. The lack of learning media at SDN Wonomlati in supporting the improvement of reading aloud, this is a factor in this study. This study aims to determine the effect of Pop-Up Book learning media on the reading skills of grade II students at SDN Wonomlati. This research used pre-experimental method with One Group Pretest-Posttest research design. This study involved 20 grade II students who were positioned as research subjects. The results of this study inform that there is an effect of Pop-Up Book learning media on the reading skills of grade II students of SDN Wonomlati. The existence of the influence of this learning media, the application of learning media must be further optimised to support learning activities, especially in improving the reading aloud of elementary school students at SDN Wonomlati. Keywords: Learning Media, Pop-Up Book, Reading Aloud Skills.
PENGEMBANGAN MEDIA BIG BOOK UNTUK PENGUATAN PENDIDIKAN KARAKTER RELIGIUS

Religious character education needs to be instilled from an early age in order to be the basis for children's character development so that children can interact with others full of politeness and can understand every difference of others. Learning religious characters can be done using various learning media, one of which is big book media. The purpose of this study is to determine the validity and practicality of big book media for strengthening religious character education. This research uses research and development with the Brog and Gall development model. The techniques used are interviews, observations, assessment sheets from media and material experts, teacher and student questionnaires. The subjects of this study were 1st grade students. The results show that big book media is suitable for teacher learning and 97.1% of calculations are known to grade 1 students easily understand the material using big book learning media religious characters.
INVESTIGATING THE ROLE OF BLOCKCHAIN TECHNOLOGY IN CYBERSECURITY INCIDENCE RESPONSE AND DIGITAL FORENSIC INVESTIGATION

In the modern interconnected society, large, medium, and small organizations, including governmental and non-governmental organizations, are vulnerable to cyberattacks. When an attack, such as a phishing or ransomware attack, occurs, each of these enterprises must have a dependable or rather established and accurate reference database and platform for appropriate analysis and storage of digital evidence to facilitate a quick and effective response to the attack. Establishing a secure platform for cyber incident response is essential for organizations to minimize the impact of an attack, prevent further damage, and identify and track the source of the attack. This paper critically examines the role of blockchain technology in facilitating safe and secure collection, storage, and analysis of digital evidence in the modern cyber incidence response and digital forensic investigation industry. This paper employs observation, experimentation, and case study methods to investigate how crucial the technology is in different stages of incidence responses and modern forensic investigation. It explores critical aspects such as evidence preservation, the chain of custody, gathering threat intelligence, analyzing computer viruses, and tracking compromised data and funds flow. Its findings imply that the technology is far more efficient than other technologies of the same calibre. By adopting this tool, organizations can improve their incidence response capabilities and increase their chances of successfully identifying and prosecuting cyber attackers. The paper concludes by discussing the potential limitations and challenges of using blockchain technology, offering recommendations for future research on the technology to continue improving the cyber incidence response field. Keywords: Blockchain Technology, Digital Forensics, Forensic Investigation, Incidence Response, Digital Evidence DOI: https://doi.org/10.35741/issn.0258-2724.58.3.59
The relationship between service-oriented leadership, organizational identity, and job performance of the new generation of employees: A case study of Chinese internet companies

Although in recent years more and more research has begun to explore the relationship between servant leadership and the work performance of the new generation of employees, there is still a considerable lack of research on the antecedents and mechanisms of this relationship. Therefore, this objective of this quantitative research in this field will usher in new development opportunities. In the “Leader-New Generation of Employees” study, this study findings found that the performance of servant leadership in various types of teams varies, and their performance also differs. The purpose of this paper is to explore how servant leadership can improve organizational identification to improve the performance of the new generation of employees and examine how they are related to the service climate. This study selects new-generation employees of Internet companies as the research object, starting from the perspective of Social Cognitive Theory, and through literature analysis and the shortcomings of the real background, it attempts to explore in depth how servant leadership affects the work performance of new-generation employees. By analyzing its effect mechanism, a multi-factor model of servant leadership–organizational identification–service climate–new-generation employee work performance has been constructed. This paper theoretically sorts out the lineage of the four variables and systematically summarizes the research results with practical experience in order to provide valuable references for managers to achieve better performance improvement. Through the comprehensive application of leadership, creativity, organizational identification, and service climate, this study implication attempts to explore how servant leadership can improve the performance of the new generation of employees and enhance their role in the team. After careful analysis and appraisal, we conducted a detailed inspection of 864 published papers and formulated a comprehensive survey questionnaire.
The Relationship between Charming Women’s Leadership, Employee Psychological Capital, and Innovation Performance – Taking the Chinese Psychological Counseling Industry as an Example

This study takes psychological counseling enterprises as the object and explores the impact of charismatic female leadership style and personality traits on followers through psychological capital as a mediator. First, the method of literature research is used to determine the four dimensions of charismatic leadership in the psychological counseling industry: inspirational motivation, role modeling, individualized consideration, and personal risk-taking (independent variables), employee psychological capital (mediator variable), and innovative performance (dependent variable). A theoretical model and framework for the study are designed, and theoretical hypotheses are proposed for the relationships between variables. Second, a survey of 300 psychological counseling-related organizations is conducted to establish an association model, and multiple regression and structural equation modeling are used to test the results. The data are further analyzed through qualitative and quantitative analysis. Research results show that in charismatic leadership, inspirational motivation, role modeling, and individualized consideration have significant positive impacts on employee innovation performance; while personal risk-taking in charismatic leadership has no significant impact on employee innovation performance; psychological capital (self-efficacy, resilience, optimism, hope) has a positive effect on employee innovation performance; psychological capital plays a partial mediating role in the relationship between charismatic female leadership, its factors, and employee innovation performance. Therefore, charismatic female leadership in the psychological counseling industry enhances employees’ psychological capital through inspirational motivation, role modeling, and individualized consideration, thereby increasing their psychological capital. By enhancing employees’ psychological capital (self-efficacy, resilience, optimism, and hope), it promotes innovative performance and ultimately improves organizational performance, thus contributing to the development of the psychological counseling industry.
Iraqi youths use of the Internet and the gratifications obtained from it

The use of the Internet and the saturation of Iraqi youth Iraqi youth use of the internet and the saturation of it ,The Internet has recently become a very important medium of communication that cannot be abandoned for many individuals.It has spread widely among different audiences for various reasons, the most important of which are its features that differ from other means enabling it to provide many services.For its users, whether as a means of communication or as a source of information in various political, scientific, economic, health, social, and other areas of interest to individuals.Faced with the increasing penetration of the Internet in the Arab world in general and in Iraq in particular, heightened fear of the impact of this network on the formation of young people.They matched the fear of allnew since the printing press entered the live TV.It has been reinforced under the prevalence of the normative vision of the means of communication and their uses, which stands in describing the phenomenon, and the classification of its consequences according to the following bilateral: positive and negative In this light, youth use of the Internet raises a number of problems related to the nature of the use of the network on young people in Iraq, The research sample consisted of 103 respondents distributed
DLIME: A Deterministic Local Interpretable Model - Agnostic Explanations Approach for Computer-Aided Diagnosis Systems

&lt;p&gt;Local Interpretable Model-Agnostic Explanations (LIME) is a popular technique used to increase the interpretability and explainability of black box Machine Learning (ML) algorithms. LIME typically generates an explanation for a single prediction by any ML model by learning a simpler interpretable model (e.g. linear classifier) around the prediction through generating simulated data around the instance by random perturbation, and obtaining feature importance through applying some form of feature selection. While LIME and similar local algorithms have gained popularity due to their simplicity, the random perturbation and feature selection methods result in "instability" in the generated explanations, where for the same prediction, different explanations can be generated. This is a critical issue that can prevent deployment of LIME in a Computer-Aided Diagnosis (CAD) system, where stability is of utmost importance to earn the trust of medical professionals. In this paper, we propose a deterministic version of LIME. Instead of random perturbation, we utilize agglomerative Hierarchical Clustering (HC) to group the training data together and K-Nearest Neighbour (KNN) to select the relevant cluster of the new instance that is being explained. After finding the relevant cluster, a linear model is trained over the selected cluster to generate the explanations. Experimental results on three different medical datasets show the superiority for Deterministic Local Interpretable Model-Agnostic Explanations (DLIME), where we quantitatively determine the stability of DLIME compared to LIME utilizing the Jaccard similarity among multiple generated explanations.&lt;/p&gt;
CHALLENGES OF USING AUGMENTED REALITY TO SUPPORT AN EFFICIENT AND ERROR-FREE ASSEMBLY IN COMPLEX VARIANT ENVIRONMENTS

Abstract As part of the digital transformation towards Industry 4.0, the tasks of staff on the shop floor are changing. Despite increasing automation, complex assembly steps still have to be carried out by humans, especially when it comes to complex products rich in variants, whose assembly cannpt be fully automated for various reasons. Due to increasing individualization and the steadily growing complexity of products, providing the right information at the right time and in the right place is becoming more important. In this context, the visualization of information via novel technologies such as augmented reality plays a crucial role towards an efficient and error-free production process. This paper compiles existing challenges when using augmented reality as a visualization form for an assistance system. On the one hand, the challenges found originate from a systematic literature review and are organized according to predefined categories. On the other hand, these challenges are complemented and compared through findings gained from expert interviews, which are conducted with employees of two European commercial vehicle manufacturers in the field of production. The analysis of the two methods highlights the need for further research.
Towards Implementing AI Mobile Application Chatbots for EFL Learners at Primary Schools in Saudi Arabia

Chatbots with cognitive pathways have attracted the attention of many EFL instructors and students. This study aims to develop an AI chatbots that may be used to teach pupils a particular linguistic skill in a foreign language. The study considers students' awareness, perceptions, and their attitudes towards using chatbots. This study aims to determine whether the artificial intelligence chatbots can improve students' skills and success while learning a foreign language. Results and findings showed that students recognize the value of utilizing chatbots but they are unsure of how to do so due to a lack of experience. The vast majority of the respondents believed that AI mobile application chatbots can play an essential role in EFL learning.
AUTOMATED CONDITION DETECTION IN REQUIREMENTS ENGINEERING

Abstract In product development, it is of great importance that a complete, unambiguous, and, as far as possible, contradiction-free target system is defined. Requirements documents of complex systems can contain several thousand individual requirements, derived in an interdisciplinary manner and written in natural language by many different stakeholders. Hence, errors, in the form of contradictions, cannot be completely avoided in these documents and today they must be corrected manually with high effort. This paper presents an important building block for automated contradiction detection and quality analysis of requirements documents. We discuss the necessary identification of conditions in requirements and the extraction of the verbal expressions associated with condition and effect, respectively. We applied and analyzed natural language processing methods based on grammatical versus machine learning models. The models have been applied to 1,861 real-world requirements. Both approaches generate promising results, with an accuracy partly over 98%. However, in structured specification texts, a grammatical model is preferable due to lower effort in preprocessing and better usability.
EFFECT OF INTERMEDIARY OBJECT USE DURING COLLABORATIVE DESIGN ACTIVITIES OF IMMERSIVE APPLICATIONS: FOCUS ON PROFESSIONAL TRAINING APPLICATION

Abstract Industry 4.0 introduces innovative ways of professional training thanks to new technologies such as Virtual Reality and Augmented Reality. Despite improvements, there's still a lack of a good user experience and connection between user needs and these applications. To tackle this problem, designers of such applications must work in a collaborative way integrating final users. It's specifically true during design phases such as scenario creation. But the co-creation of scenario is a difficult task for designers and final users who don't have enough expertise with IT. A solution seems to stand in intermediary objects (IOs) which are well known for their characteristics of mediation, transformation, and representation. We have studied the use of different IOs during a project consisting in designing an immersive professional training application for risk hunting for Stäubli company. We used an IO1 made of an excel sheet and an IO2 made of 360 views of the workshop. Two ideation sessions with two groups of designers were conducted to propose a scenario consisting of several risks to spot in the future application. Results show that the scenario was improved using the IO2, and final users and designers were more collaborative.
EXTENDED REALITY IN INDUSTRY: PAST, PRESENT AND FUTURE PERSPECTIVES

Abstract The industry's interest in Virtual and Augmented Reality (VR and AR) technologies started from the beginning of their appearance in the research world. Over the years, scholars observed ups and downs, to which various factors contributed. In recent years these technologies, now known as eXtended Reality (XR), have returned to fascinate the industrial world, mainly because most of the related enabling technologies have improved to the point of pushing companies to re-invest in them. The introduction of approaches such as the digital twin one and the recent hype on the metaverse is also a push in this direction. A few questions arise: what are the benefits of such technologies in the industry today, and what are the unexplored possibilities? Starting from a systematic literature review and exploring the practical implications of integrating technologies in the industrial field, the paper tries to answer these questions. The paper is not intended as a technological forecast but as a stimulus for future research.
DESIGNING FOR LEGAL PRACTITIONERS: LESSONS LEARNED FROM LEGAL TECH DEVELOPMENT AND IMPLEMENTATION

Abstract Recently, the design and digitalisation approaches have become increasingly utilised in the legal context, typically under the names of legal design and legal tech. One of their goals is to help legal practitioners be more efficient and to provide better quality and more comprehensive legal services. Also, given that both movements rely heavily on participatory and co-design, they will require increased support not only from design practitioners but also from design researchers and educators. Therefore, this paper investigates, from a design research viewpoint, the opportunities and challenges of developing and implementing legal tech, with a particular focus on legal practitioners. It reports on four cases of designing legal tech solutions and their implementation in a law firm. The main insights are related to the importance of value perception through participatory and co-design, the need for efficient and effective testing methodologies, and the opportunity to test a wide range of design methods and tools in the legal context. The paper also complements the legal design and legal tech literature with additional arguments on why designing in the legal context is challenging compared to designing in other domains.
UNDERSTANDING THE CHALLENGES AROUND DESIGN ACTIVITIES THAT INCORPORATE BEHAVIORAL DATA

Abstract Recently, methods and approaches such as Participatory Data Analysis, Data-Enabled Design, and Contextual Inquiry have highlighted how design activities can benefit from behavioral data. This data offers new ways to learn from what people do and how they do it, across time and space. However, behavioral data introduces changes and frictions to design activities and poses several challenges for designers to overcome. In this paper, we conduct two workshops with 18 expert designers, from industry and academia, to understand the nature of these challenges, beyond the technical aspects. We contribute by underlining the challenges and opportunities of incorporating behavioral data into design activities; including a design perspective on data, interacting with participants, and interacting with regulatory bodies. We translate our findings into opportunities for a better alignment between regulatory bodies, designers, and participants. We propose to harness the iterative nature of design activities and embedded it into a process that allows for continuous reflection, reassessment, and review of highly dynamic datasets.
WHAT DETERMINES VR INTEGRATION IN DESIGN PRACTICE? AN INVESTIGATION OF INDUSTRIAL DESIGNER'S ACCEPTANCE OF VR VISUALISATION TOOLS

Abstract Emerging visualisation tools based on eXtended Reality (XR) platforms offer designers new possibilities and benefits, attracting increasing interest from academia and industry. However, as the users and consumers of these tools, practising designers' perceptions of XR visualisation tools need to be further verified as they shape the tools' acceptance and integration in the industry. This paper investigates industrial designers' acceptance of VR visualisation tools using the Unified Theory of Acceptance and Use of Technology (UTAUT) model. Semi-structured interviews were undertaken with 12 designers from 3 countries to discuss their attitudes, motivations, experiences, and expectations regarding adopting VR visualisation tools as professional tools. The study highlights key opportunities to promote VR integration in industrial design as the tools' practical capabilities to support design performance and the social influence of stakeholders and peer designers on the professional use of VR. The main barriers lie in designers' expected effort to learn and use the tools and the investment and upkeep of VR systems and facilities in the industry. The paper concludes with recommendations for reaping benefits and overcoming barriers.
CO-DESIGNING TECHNOLOGICAL EXPLORATIONS IN DEVELOPING FUTURES LITERACY THROUGH SPECULATIVE DESIGN AND AN ARTISTIC INTERVENTION

Abstract Futures Literacy is the capability to imagine and understand potential futures to prepare ourselves to act and innovate in the present. This pilot study aims to understand how artistic methodologies and speculative design can support the collaborative exploration of futures in the context of work and contribute to developing peoples’ capability of futures literacy. Our premise is that technologies such as Artificial Intelligence and the Internet of things can augment people and support their needs at work. To illustrate this process, we have presented a collaborative method that integrates an artistic intervention with speculative design activities. We tested the method in a full-day workshop with seventeen (17) participants from a Swedish academy responsible for enabling learning and competence development at work in the healthcare sector. The results indicate that the artistic intervention, combined with the speculative design activities, can challenge current participants’ perspectives and offer them new ways of seeing futures with technologies. These new ways of seeing reveal underlying premises crucial in developing the capability of futures literacy.
USE CASES FOR A HYBRID AUGMENTED REALITY COMPUTER WORKSTATION IN CAD WORKFLOWS

Abstract Many immersive approaches for design activities show a great potential for their specific use cases, but still overall usage of extended reality technology in product developers day-to-day work is little. The user's workflow between classical desktop work environment and its immersive counterpart is interrupted by both a data gap and an interface gap. The three-dimensional product data usually needs preparation and the user has to physically change the interface in use. The hybrid augmented reality computer workstation aims to close these gaps. A hologram of the current model is visualized next to the screen in reach of the user for intuitive inspection and spatial interactions. In this paper we present use cases for this novel immersive workstation in the CAD workflow. An explorative user study of the typical product designer`s workflow reveals the most common activities. Guided by those, eight uses cases are formulated and classified into fundamental, drafting, and modelling CAD tasks. These cases include novel hybrid augmented reality interactions derived from literature, which are assessed with respect to their applicability.