Reviewerly/exHarmony huggingface dataset:
The Role of Intrinsic Motivations on Customers’ Service Robot Use Experience

Reliance on technology, such as service robots, has become more prevalent in the hotel industry. Even though more hotels plan to incorporate service robots in addition to human employees, customers’ readiness to use a service robot is still puzzling. Customers’ intrinsic motivations play a critical role in adopting new technology. This study explores the effects of customers’ motivations on their positive and negative responses. Specifically, this study investigates the overall relationships among customers’ autonomy needs, competence needs, relatedness needs, perceived eeriness, trust, and service robot use intentions. Results identify different effects of customers’ needs for autonomy and relatedness on perceived eeriness and trust, which show effects on service robot use intentions. Interestingly, customers’ needs for competence did not show any effect on perceived eeriness or trust. The findings of this study contribute to service robot literature and provide strategies for adopting service robots in the hotel industry.
Integration of digital shearography and FEM for non-destructive evaluation of internal cracks in GRE pipes

Pipes made of glass fiber-reinforced epoxy (GRE) are often exposed to complex environmental conditions, which can make them prone to internal cracking. Quantitative, non-destructive evaluation of cracks can reduce unintended failures and improve system reliability. The use of digital shearography, a modern non-destructive method based on laser interferometry, in the diagnosis of composite materials has drawn attention in recent years. In this paper, a model for the quantitative evaluation of subsurface cracks in various locations on GRE pipes was developed by integrating the finite element method and shearography with thermal stimulation. The response surface method was used to design the simulations, and the effect of crack dimensions and location on the phase map and out-of-plane surface strain component was investigated. The results demonstrated that the crack placement angle relative to the shearography device is effective on crack detectability due to the change in the actual shearing size. A model was then presented to estimate the length and depth of the crack based on the displacement derivative graph by using analysis of variance and regression techniques. By determining the out-of-plane displacement derivative, the proposed model enables precise estimation of the dimensions and location of subsurface cracks.
An Analysis of Digital Records and Their Juridical Ramifications: Bangladesh Perspective

The advent of digital technology has transformed the way information is created, stored, and accessed in contemporary society. In Bangladesh, this shift towards digitization has significantly impacted record-keeping practices across various sectors, including government, business, and academia. This research paper delves into the multifaceted realm of digital records and explores their juridical implications within the specific context of Bangladesh. Drawing on a comprehensive review of relevant literature, legal frameworks, this study examines the challenges and opportunities presented by the digitalization of records in Bangladesh. It analyzes how digital records influence legal procedures, evidence presentation, and data security, shedding light on the evolving landscape of digital forensics and e-discovery in the country’s legal system. Furthermore, this paper critically evaluates the existing legal and regulatory frameworks governing digital records in Bangladesh and offers recommendations for their enhancement to ensure data integrity, privacy protection, and compliance with international standards. By providing a comprehensive overview of the juridical ramifications of digital records in Bangladesh, this research contributes to the ongoing discourse on modernizing legal practices in an increasingly digitized world while safeguarding the rights and interests of all stakeholders.
Shit! Towards an experimental multiple-perspective approach to human-microbiome relations

For HCI to move beyond human exceptionalism requires embracing more-than-humans, humans as parts of ecosystems, as multispecies assemblages and events. In short, decentering the human. Yet, human experience sits at the center of HCI. We report from Shit!, an experimental research inquiry into the relationship between people suffering intestinal dysbiosis and their gut microbiome. We discuss a series of Shitty workshops and the method’s suitability for fostering multiple-perspectives on human-microbiome relations. We reflect on the possibilities and challenges of conducting intimate, more-than-human design inquiries through workshops: carefully curated tasks undertaken collaboratively, in social settings, with facilitation. Our contribution is threefold: (1) we trace the lineage of workshops in HCI and Participatory Design; (2) we highlight and problematize human-microbiome relationships in sensitive participatory health-care contexts; (3) we deepen understanding of how workshops – as method – may be rearticulated in more-than-human design processes. We propose future directions in the work to extend and supplement the efficacy of the workshop with self-experimentation kits. Rather than developing design research methods anew, we argue the necessity of inquiring into and experimenting with the workshop as an established design method in HCI to prompt a re-articulation of situated knowledges and allow multiple voices, perspectives, and species to flourish.
Experimental Restoration and Reconstruction in Music Archaeology

Restoration attempts to recover the original shape of excavated musical artifacts that have been damaged. Reconstruction is primarily focused on unearthed musical instruments or those depicted in images, and aims either at creating reproductions of playable replicas and imitations, or at simulative manufacturing and model reconstruction. Restoration, on the other hand, can be carried out in tangible or intangible ways. Tangible restoration can be perceived visually, while intangible restoration is instead sonic, and therefore aurally perceptible. Restoration not only recovers the integrity of fragmentary instruments, but also, if possible, reconstructs the sound of the original instrument based on pitch measurement and analysis. Restoration can also be applied to musical iconographic sources and musical textual symbols, such as musical notations and sur-viving classical texts. The restoration of musical notation is not the same as transcription of musical score. The restoration of epigraphic texts aims mainly to restore blurry and otherwise unclear or missing characters. Reconstruction, on the other hand, is a kind of simulation experiment that uses physical or virtual manufacturing to copy, imitate, and reproduce musical remains, for the purpose of exploring ancient musical practices. Based on excavated objects, musical instruments can be copied or imitated, while simulative experiments based on iconography are necessarily limited to speculation.
Research on the Design of VR Video in Advertising and the Problems It Faces

At present the development of VR video in advertising has been changing, VR technology provides a lot of new creative and interactive ways for advertising.VR advertising is also a hotspot of current research, which has been applied in many fields, and it has a very good prospect for development in the future. Since there is less literature in the research direction of virtual reality advertising, the discussion and research on this aspect of the application of VR video in advertising is carried out. This paper discusses and analyses several aspects of VR advertisement product demonstration, brand narration and advertisement comparison, at the same time, through the comparison and analysis of VR advertisement and traditional advertisement to understand the advantages and disadvantages of VR video at present, and analyses the problems encountered in the four aspects of virtual reality video in terms of technology, cost, experience sense and limitations. Finally, this paper gives an outlook on the hot spots and development prospects of this research topic.
Critical ICT4D: The Need for a Paradigm Change

ICT for Development (ICT4D) research has evolved significantly in the course of its history. Originally characterized by a technology-transfer vision, positing technology as intrinsically “good” and desirable for development, it subsequently entered a phase of problematization of the very notion of “development”, as well as the ability of ICTs to contribute to it. Against this backdrop, we highlight the need for a paradigm change that sees Critical ICT4D – a vision that constructively problematizes the core assumptions of ICT4D research – at the core of theorizing, designing and executing research on ICTs for development. With the idea of Critical ICT4D, we introduce a way of thinking that takes stock of the adverse effects of ICTs on its intended beneficiaries, at the same time developing routes to imagining and building fairer technologies in contexts of structural vulnerability.
Use of Mobile Application to Support Community Health Workers in Patients’ Assessment and Referrals. The Case of Malawi Rural Healthcare

The dispersion of mobile technology in developing countries especially in rural areas has led to the belief that adopting mobile health applications is beneficial in supporting delivery of healthcare in developing countries. In this study, we explored the affordances of mobile-based Integrated Community Case Management (iCCM) as a protocol that aims at providing basic lifesaving treatment to children who are under five years of age at community level. Using the qualitative approach, this research provides the health informatics and information systems community with an understanding of how the digital iCCM may affect the level of assessment of patients’ illness and referrals to higher level facilities. Data was collected through semi structured interviews, focus groups, observation and documents analysis. Thirty-two (32) participants were interviewed. Affordance theory was employed as a lens for analyzing the findings and three functional affordances were identified as diagnosis, treatment, and remote data collection.
My Lord! When is it Possible for me to become Mature? (Tcheonzamun 817th-832nd)

French Missionary Dallet (1874) introduced ‘the thousand character essay’ to the western world. The thousand character essay is called as ‘Tcheonzamun (千字文)’ in Korea. There are two methods for translating Tcheonzamun poem. One is through Korean pronunciation of Chinese character (Park et al., 2021 b). The other is through the meaning of Chinese character on Tcheonzamun (Park et al., 2021 a). In the present study of the Tcheonzamun translation, the second method (Park et al., 2021 a) was utilized. And the range of this study is 16 letters of Chinese characters on Tcheonzamun (Tcheonzamun 817th-832nd). The title of this work is ‘My Lord! When is it possible for me to become mature? (Tcheonzamun 817th-832nd)’. The theme of this research is as follows. 821-824 老(No) 少(Syo) 異(Ih) 糧(Nyang). Suggesting that there is a silly (少) man, and he is not mature. He wants to live freely upon his own intention. In order for the man to be mature (老), what will he do? My husband! If you get to know the fact that everyone is not same. If you come to know that each (糧) person is different (異). At that time, you will be mature!
Amplifying NGO Messages with Critical Incidents: A Comparative Analysis of the Impact of New Media Disruption and Legacy Media in Journalism

This paper explores the use of traditional and new media by Non-Governmental Organizations (NGOs) for effective communication. It argues that NGOs should leverage different media forms based on specific circumstances. The paper discusses Farm Radio Internationals use of radio and mobile phones to engage farmers in dialogue, empowering them to voice their concerns. It also highlights the #blogladesh campaign, where mommy bloggers were utilized to raise awareness of womens and childrens health issues. By using traditional media, NGOs can reach a wider audience, particularly in marginalized communities. New media, on the other hand, offers personalized and interactive communication. Understanding the strengths and limitations of each media form enables NGOs to effectively convey their messages, enhance communication effectiveness, and achieve their mission and goals.
ModHE: Modular Homomorphic Encryption Using Module Lattices

The promising field of homomorphic encryption enables functions to be evaluated on encrypted data and produce results for the same computations done on plaintexts. It, therefore, comes as no surprise that many ventures at constructing homomorphic encryption schemes have come into the limelight in recent years. Most popular are those that rely on the hard lattice problem, called the Ring Learning with Errors problem (RLWE). One major limitation of these homomorphic encryption schemes is that in order to securely increase the maximum multiplicative depth, they need to increase the polynomial-size (degree of the polynomial ring) thereby also ncreasing the complexity of the design. We aim to bridge this gap by proposing a homomorphic encryption (HE) scheme based on the Module Learning with Errors problem (MLWE), ModHE that allows us to break the big computations into smaller ones. Given the popularity of module lattice-based post-quantum schemes, it is an evidently interesting research endeavor to also formulate module lattice-based homomorphic encryption schemes. While our proposed scheme is general, as a case study, we port the well-known RLWE-based CKKS scheme to the MLWE setting. The module version of the scheme completely stops the polynomial-size blowups when aiming for a greater circuit depth. Additionally, it presents greater opportunities for designing flexible, reusable, and parallelizable hardware architecture. A hardware implementation is provided to support our claims. We also acknowledge that as we try to decrease the complexity of computations, the amount of computations (such as relinearizations) increases. We hope that the potential and limitations of using such a hardware-friendly scheme will spark further research.
Rewards and Drawbacks of Modular Approach in Teaching Mother Tongue-Based Language (MTBL) during COVID-19: Reading Teachers in Focus

This study aimed to explore teachers’ experiences in teaching reading using Mother Tongue-Based Multilingual Education (MTB-MLE) through modular learning during the pandemic. It specifically identifies the teachers’ challenges, coping, and relevant learning. It employed a qualitative method using phenomenology. It involved 12 elementary reading teachers from the Division of Don Marcelino, Davao Occidental. Interview guide question was used in focus groups to obtain the data. It revealed that reading teachers encountered significant obstacles when it came to delivering effective reading instruction, and these challenges became even more pronounced when they had to incorporate reading into printed modules without much supervision. Teachers continued beyond merely distributing these modules; they took the initiative to conduct home visits and encouraged parents to prioritize reading instruction. Additionally, they exhibited impressive creativity by modifying module content and providing extra materials to support independent learning at home. These challenges pushed them to explore new strategies and adapt to this new teaching mode through modules. In response to the challenges, teachers demonstrated resilience and developed coping mechanisms. They understood the importance of patience in their teaching roles and the value of collaboration among educators. Sharing their experiences and challenges with their colleagues became essential in helping teachers overcome these difficulties.
Influence of Reading Interest and Emotional Intelligence on Learning Outcomes

This study aims to determine the influence of reading interest and emotional intelligence together on the learning outcomes of Indonesian both partially and simultaneously. This type of research is correlational quantitative because the research results will be calculated with statistical figures. The population in this study were all 168 students of class XI at State High School 1 Panggang. Based on the Slovin formula, the number of research samples is 119 respondents. The sampling technique uses simple random sampling or random. The data collection technique uses a questionnaire, namely a questionnaire of reading interest and emotional intelligence, as well as documentation to determine students' Indonesian language scores. The data analysis technique in this study used multiple regression analysis. Based on the analysis and discussion of the research results, the following conclusions can be drawn: (1) interest in reading influences the learning outcomes of Bahasa students in class XI at State High School 1 Panggang. (2) emotional intelligence influences the results of learning Indonesian for class XI students at Panggang 1 Public High School. (3) There is an influence of interest in reading and emotional intelligence together on the results of learning Indonesian for class XI students of State High School 1 Panggang.
EstraNet: An Efficient Shift-Invariant Transformer Network for Side-Channel Analysis

Deep Learning (DL) based Side-Channel Analysis (SCA) has been extremely popular recently. DL-based SCA can easily break implementations protected by masking countermeasures. DL-based SCA has also been highly successful against implementations protected by various trace desynchronization-based countermeasures like random delay, clock jitter and shuffling. Over the years, many DL models have been explored to perform SCA. Recently, Transformer Network (TN) based model has also been introduced for SCA. Though the previously introduced TN-based model is successful against implementations jointly protected by masking and random delay countermeasures, it is not scalable to long traces (having a length greater than a few thousand) due to its quadratic time and memory complexity. This work proposes a novel shift-invariant TN-based model with linear time and memory complexity. he contributions of the work are two-fold. First, we introduce a novel TN-based model called EstraNet for SCA. EstraNet has linear time and memory complexity in trace length, significantly improving over the previously proposed TN-based model’s quadratic time and memory cost. EstraNet is also shift-invariant, making it highly effective against countermeasures like random delay and clock jitter. Secondly, we evaluated EstraNet on three SCA datasets of masked implementations with random delay and clock jitter effect. Our experimental results show that EstraNet significantly outperforms several benchmark models, demonstrating up to an order of magnitude reduction in the number of attack traces required to reach guessing entropy 1.
The Future of Humans and Language Models

The rise of AI technologies suggests many questions regarding the collaboration of humans and smart technologies in the future, with the potential to impact the way we learn, teach, and work. In particular, the focus of this chapter lies on the future need for collaboration between humans and bots powered by language models, leading to the concept of Augmented Intelligence.
Stereotypes in Language Models

In this chapter we will look at the dangers and limitations that language models bring, with a focus on bias. Bias in AI in general, and regarding language models in particular, is a topic that was neglected for many years of technology development. In the recent years, after some disturbing examples of discrimination caused by bias in AI software have made it to the broad media, the topic is explored by research and finally starts getting the attention it deserves. We will also discuss other risks such as the ecological footprint or the sometimes critical working conditions behind the scenes of machine learning training.
Processing Written Language

In this chapter, we will learn more about how text is processed automatically. Natural language processing refers to the automated processing (including generation) of speech and text. We will look at some common natural language processing applications and explain common methods from the field of natural language processing. We will deepen our machine learning knowledge and introduce and understand the advantages and disadvantages of deep learning and neural networks. Finally, we will understand how words from human language can be represented as mathematical vectors and why this is beneficial for machine learning.
Improved gray wolf optimization algorithm integrating A* algorithm for path planning of mobile charging robots

Abstract With the popularization of electric vehicles, early built parking lots cannot solve the charging problem of a large number of electric vehicles. Mobile charging robots have autonomous navigation and complete charging functions, which make up for this deficiency. However, there are static obstacles in the parking lot that are random and constantly changing their position, which requires a stable and fast iterative path planning method. The gray wolf optimization (GWO) algorithm is one of the optimization algorithms, which has the advantages of fast iteration speed and stability, but it has the drawback of easily falling into local optimization problems. This article first addresses this issue by improving the fitness function and position update of the GWO algorithm and then optimizing the convergence factor. Subsequently, the fitness function of the improved gray wolf optimization (IGWO) algorithm was further improved based on the minimum cost equation of the A* algorithm. The key coefficients AC 1 and AC 2 of two different fitness functions, Fitness 1 and Fitness 2 , were discussed. The improved gray wolf optimization algorithm integrating A* algorithm (A*-IGWO) has improved the number of iterations and path length compared to the GWO algorithm in parking lots path planning problems.
The Impact of Information Architecture on Final User Benefits

The study aims to define information architecture and its dimensions and measure the role of the relationship between the dimensions of information architecture and the end user. Additionally, the study seeks to assess the impact of indicators of information architecture dimensions on achieving benefits for the end user. The study adopted a descriptive-analytical methodology as a specialized approach for execution, utilizing questionnaires, observation, and structured interviews as data collection methods. The statistical software SPSS was employed for analyzing the study’s results. The study yielded several notable outcomes. The study’s findings indicated a statistically significant impact between the elements of organizational knowledge as one of the dimensions of information architecture. Information technology emerged as the most influential factor, whereas organizational culture had the least impact on achieving benefits for the end user. The results affirmed a statistically significant positive relationship between information technology and achieving benefits for the end user, with a correlation coefficient of (0.68). This indicates that as information technology increases within the organization (study field), the benefits for the end user also increase.