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COVID-19 continues to spread, and cause increasing deaths. Physicians diagnose COVID-19 using not only real-time polymerase chain reaction but also the computed tomography (CT) and chest x-ray (CXR) modalities, depending on the stage of infection. However, with so many patients and so few doctors, it has become difficult to keep abreast of the disease. Deep learning models have been developed in order to assist in this respect, and vision transformers are currently state-of-the-art methods, but most techniques currently focus only on one modality (CXR).

This work aims to leverage the benefits of both CT and CXR to improve COVID-19 diagnosis. This paper studies the differences between using convolutional MobileNetV2, ViT DeiT and Swin Transformer models when training from scratch and pretraining on the MedNIST medical dataset rather than the ImageNet dataset of natural images. The comparison is made by reporting six performance metrics, the Scott–Knott Effect Size Difference, Wilcoxon statistical test and the Borda Count method. We also use the Grad-CAM algorithm to study the model's interpretability. Finally, the model's robustness is tested by evaluating it on Gaussian noised images.

Although pretrained MobileNetV2 was the best model in terms of performance, the best model in terms of performance, interpretability, and robustness to noise is the trained from scratch Swin Transformer using the CXR (accuracy = 93.21 per cent) and CT (accuracy = 94.14 per cent) modalities.

Models compared are pretrained on MedNIST and leverage both the CT and CXR modalities.

Multimodal writing portfolios were introduced and integrated into an undergraduate course and a graduate course in a research-oriented university in northwest Taiwan. This study aims to examine the influence of multimodal writing portfolios of novice researchers' academic writing.

Comparative case studies involve collecting data from several cases and analyzing the similarities, differences and patterns across cases (Merriam, 2009). To address this underdeveloped area of research, a comparative case study method was employed to understand undergraduate and graduate students' multimodal writing portfolios in academic writing in two courses in Taiwan.

First, multimodal writing portfolios enabled novice researchers to be more familiar with the structure of academic paper and they had better performance in intrapersonal and linguistic aspects. Second, novice researchers held positive attitude toward multimodal writing portfolios because they regarded process of making multimodal writing portfolios as preparation for their future academic writing. Finally, participants highly valued the class PowerPoint slides, weekly writing tasks and the instructor's modeling as effective facilitation for making multimodal writing portfolios.

Limited studies focus on multimodal writing portfolios (e.g. Silver, 2019). The present case study explores the integration of a multimodal writing portfolio into one undergraduate and one graduate course to explore learners' attitude and performance in academic writing.

Novice researchers can learn to compose multimodal academic texts for the academic writing community.

Suggestions on effective integration of multimodal writing portfolios into academic writing instruction were provided based on the research findings.

The findings of the study provide the field of L2 writing with insights into the pedagogical development of multilingual writing portfolios and help educators to be better prepared for teaching novice researchers to comprehend and compose multimodal texts and enter the academic writing community. The framework in Figure 1 and suggestions on course designs for academic writing can inform educators on the integration of multimodality in academic discourse. Moreover, this study moves beyond general writing courses at the tertiary level and could contribute to L2 writers' deeper understanding of how multimodal writing portfolios can be constructed.

The purpose of this paper is to explore teacher candidates’ response to young adult literature (prose and comics) featuring fat identified protagonists. The paper considers the textual and embodied resources readers use and reject when imagining and interpreting a character’s body. This paper explores how readers’ meaning making was influenced when reading prose versus comics. This paper adds to a corpus of scholarship about the relationships between young adult literature, comics, bodies and reader response theory.

At the time of the study, participants were enrolled in a teacher education program at a Midwestern University, meeting monthly for a voluntary book club dedicated to reading and discussing young adult literature. To examine readers’ responses to comics and prose featuring fat-identified protagonists, the author used descriptive qualitative methodologies to conduct a thematic analysis of meeting transcripts, written participant reflections and researcher memos. Analysis was grounded in theories of reader response, critical fat studies and multimodality.

Analyses indicated many readers reject textual clues indicating a character’s body size and weight were different from their own. Readers read their bodies into the stories, regarding them as self-help narratives instead of radical counternarratives. Some readers were not able to read against their assumptions of thinness (and whiteness) until prompted by the researcher and other participants.

Although many reader response scholars have demonstrated readers’ tendencies toward personal identification in the face of racial and class differences, there is less research regarding classroom practices around the entanglement of physical bodies, body image and texts. Analyzing reader’s responses to the constructions of fat bodies in prose versus comics may help English Language Arts (ELA) educators and students identify and deconstruct ideologies of thin-thinking and fatphobia. This study, which demonstrates thin readers’ tendencies to overidentify with protagonists, suggests ELA classrooms might encourage readers to engage in critical literacies that support them in reading both with and against their identities.

The aim of this study is to propose a governance model and key performance indicators on how policymakers can contribute to a more accessible, inclusive and sustainable mobility within and across smart cities to examine sustainable urban mobility grounded on the rational management of public transportation infrastructure.

This study employed desk research methodology grounded on secondary data from existing documents and previous research to develop a sustainable mobility governance model that explores key factors that influence future urban policy development. The collected secondary data was descriptively analyzed to provide initiatives and elements needed to achieve sustainable mobility services in smart cities.

Findings from this study provide evidence on how cities can benefit from the application of data from different sources to provide value-added services to promote integrated and sustainable mobility. Additionally, findings from this study discuss the role of smart mobility for sustainable services and the application for data-driven initiatives toward sustainable smart cities to enhance mobility interconnectivity, accessibility and multimodality. Findings from this study identify technical and non-technical factors that impact the sustainable mobility transition.

Practically, this study advocates for the use of smart mobility and data-driven services in smart cities to improve commuters' behavior aimed at long-term behavior change toward sustainable mobility by creating awareness on the society and supporting policymakers for informed decisions. Implications from this study provide information that supports policymakers and municipalities to implement data-driven mobility services.

This study provides implications toward behavioral change of individuals to adopt a more sustainable mode of travels, increase citizens’ quality of life, improve economic viability of business involved in providing mobility-related services and support decision-making for municipalities and policymakers during urban planning and design by incorporating the sustainability dimension into their present and future developments.

This paper explores how urban transportation can greatly reduce greenhouse gas emissions and provides implications for cities to improve accessibility and sustainability of public transportation, while simultaneously promoting the adoption of more environmentally friendly means of mobility within and across cities. Besides, this study provides a detailed discussion focusing on the potential opportunities and challenges faced in urban environment in achieving sustainable mobility. The governance model developed in this study can also be utilized by technology startups and transportation companies to assess the factors that they need to put in place or improve for the provision of sustainable mobility services.

Computer-assisted language learning (CALL) can create participatory cultures by removing barriers to access materials, encouraging student modes of expression, differentiating student interactions through digital environments and increasing learner autonomy. Participatory cultures require competencies or new media literacy (NML) skills to be successful in a digital world. However, professional development (PD) often lacks training on CALL and its implementation to develop such skills. The purpose of this study is to describe teachers use of digital tools for multilingual learners through a relevant theoretical perspective.

This design-based research study examines 30 in-service teachers in South Carolina, a destination state for Latinx immigrants, focusing data over three semesters of PD: interviews and instructional logs. The researchers address the question: How are teachers using digital tools to advance NML for multilingual learners (MLs)?

The authors analyzed current elementary teachers’ use of digital tools for language learning and NML purposes. Three themes are discussed: NMLs and digital literacy boundaries, digital tools for MLs and literacy teaching for MLs and NML skills.

Teacher PD often needs more specificity regarding the intersection of MLs and digital literacy. The authors contribute to the literature on needed elementary teaching practices for MLs, the integration of NML and how these practices may be addressed through PD.

Biometric scans using fingerprints are widely used for security purposes. Eventually, for authentication purposes, fingerprint scans are not very reliable because they can be faked by obtaining a sample of the fingerprint of the person. There are a few spoof detection techniques available to reduce the incidence of spoofing of the biometric system. Among them, the most commonly used is the binary classification technique that detects real or fake fingerprints based on the fingerprint samples provided during training. However, this technique fails when it is provided with samples formed using other spoofing techniques that are different from the spoofing techniques covered in the training samples. This paper aims to improve the liveness detection accuracy by fusing electrocardiogram (ECG) and fingerprint.

In this paper, to avoid this limitation, an efficient liveness detection algorithm is developed using the fusion of ECG signals captured from the fingertips and fingerprint data in Internet of Things (IoT) environment. The ECG signal will ensure the detection of real fingerprint samples from fake ones.

Single model fingerprint methods have some disadvantages, such as noisy data and position of the fingerprint. To overcome this, fusion of both ECG and fingerprint is done so that the combined data improves the detection accuracy.

System security is improved in this approach, and the fingerprint recognition rate is also improved. IoT-based approach is used in this work to reduce the computation burden of data processing systems.

This paper aims to present a theoretical model for restructuring Colombia’s educational initiatives in response to current socioeconomic needs. More equitable and decolonized education could help learners decouple their capacities to imagine the future from colonialized paradigms, thereby opening spaces for more active engagement in their own futures.

The authors take a critical, postmodern approach focused on empowering people to transcend constraints from a colonial past and recognizing that the purpose of knowledge, although reflecting power and social relationships, is to help people improve society. Notions of situated and futures literacies nourish an approach toward a decolonized and glocalized educational model.

The current Colombian educational system tends to favor a single focus – local, national or international – at the expense of the others. The authors argue that educational policy and planning should account for three realms of knowledge: locally situated literacies, nationally situated literacies and globally situated literacies.

Deconstructing obsolete and colonized methodologies could not only help prepare Colombian learners for active engagement both within and beyond their modern-day borders but could also help transform other educational systems originally designed to support societies and economies that no longer exist, including those of the Global North.

Recent archiving and curatorial practices took advantage of the advancement in digital technologies, creating immersive and interactive experiences to emphasize the plurality of memory materials, encourage personalized sense-making and extract, manage and share the ever-growing surrounding knowledge. Audiovisual (AV) content, with its growing importance and popularity, is less explored on that end than texts and images. This paper examines the trend of datafication in AV archives and answers the critical question, “What to extract from AV materials and why?”.

This study roots in a comprehensive state-of-the-art review of digital methods and curatorial practices in AV archives. The thinking model for mapping AV archive data to purposes is based on pre-existing models for understanding multimedia content and metadata standards.

The thinking model connects AV content descriptors (data perspective) and purposes (curatorial perspective) and provides a theoretical map of how information extracted from AV archives should be fused and embedded for memory institutions. The model is constructed by looking into the three broad dimensions of audiovisual content – archival, affective and aesthetic, social and historical.

This paper contributes uniquely to the intersection of computational archives, audiovisual content and public sense-making experiences. It provides updates and insights to work towards datafied AV archives and cope with the increasing needs in the sense-making end using AV archives.

Knowledge management (KM) is a process that depends on changes and transfers to different levels of understanding among individuals and acts as a powerful tool to strengthen the organization to remove the barriers, affect the decision-making process and enable individuals and organizations to achieve sustainable advantages. This study aims to explore the role of digitization on knowledge conversion modes and its subsequent impact on related outcomes with reference to higher education institutions (HEIs). Prospects and paradigms of digitation for HEIs have also been explored.

The systematic review method has been used to organize and analyze the existing literature on digitization, knowledge conversion and related outcomes with reference to HEIs. To increase the scope of the research, the authors anticipated 30 research articles published between 2010 and 2022 in Google Scholar, Scopus, ProQuest and EBSCO databases. The study used PRISMA to conduct a systematic literature review. The study used “knowledge conversion, “SECI model,” “Digitalization” and “Higher education institutions” keywords to search the most suitable articles. To ensure the quality of this research, the study used quality journals.

The increasing significance of knowledge-building practices and a technology-driven environment insinuates the adoption of information and communication technology (ICT)-enabled equipment and devices to transfer knowledge, which further leads toward enhancing the effectiveness of education. This study offers a review of enabling factors based on Nonaka and Takeuchi’s (1995) knowledge spiral and provides an in-depth insight into the significance of digitization for the higher education sector.

The study’s main contribution was to explore the interrelationship among digitization, knowledge conversion and outcomes. Both technological and non-technological/conventional interventions have been discussed with reference to teaching and knowledge dissemination patterns based on Nonaka’s (1994) Socialization, Externalization, Combination, and Internalization (SECI) knowledge spiral.

The authors synthesize the previous literature research dimensions and recommend future research.

This study investigates the following research question: What pedagogical strategies are necessary for the success of HyFlex course design? The findings to this question are based in new media literacies and help to further pedagogy in an emerging HyFlex model while also grounding in needed theorization.

This study uses design-based research (DBR) across two iterations and four doctoral, higher education courses, using mixed methods of data collection and analysis.

Six pedagogical strategies influential for HyFlex research are presented, each grounded in a new media literacy skill.

These six pedagogical strategies help practitioners grappling with the HyFlex or blended learning model merge traditional pedagogy with how this might be tailored for students entrenched in a participatory culture.