This article analyzes the Association of Academic Health Sciences Libraries (AAHSL) member libraries’ COVID-19 LibGuides to determine volume and origin of links included. This is a manuscript version of the article. The article was published online November 17, 2022.

Article highlighting a case study about building a working digital language archive in a hosted university institutional repository. It was presented at the 1st International Workshop on Digital Language Archives held on September 30-October 1, 2021 as part of the ACM/IEEE Joint Conference on Digital Libraries 2021.

Article describing the BRAzilian POrtuguese RUSsian Corpus (BraPoRus), a corpus that consists of multiple speech samples of older Russian heritage speakers in Brazil, and discussing the best ways to make these data available in the forms that satisfy the requirements both for the linguistic and sociological research. It was presented at the 1st International Workshop on Digital Language Archives held on September 30-October 1, 2021 as part of the ACM/IEEE Joint Conference on Digital Libraries 2021.

Article reviewing one particular challenge to data management relevant to South Asia, which is the complexity of names (of individuals, groups, and languages). It was presented at the 1st International Workshop on Digital Language Archives held on September 30-October 1, 2021 as part of the ACM/IEEE Joint Conference on Digital Libraries 2021.

Article describing a pilot project undertaken at the Computational Resource for South Asian Languages (CoRSAL) which explores a collaborative archiving approach to enable language community members to tell their own stories by adding contextual information to archival materials. It was presented at the 1st International Workshop on Digital Language Archives held on September 30-October 1, 2021 as part of the ACM/IEEE Joint Conference on Digital Libraries 2021.

Article on the development of a workflow process that can accommodate the range of different language depositors in the Computational Resource for South Asian Languages (CoRSAL). It was presented at the 1st International Workshop on Digital Language Archives held on September 30-October 1, 2021 as part of the ACM/IEEE Joint Conference on Digital Libraries 2021.

This article presents findings from a series of related studies exploring aspects of Digital Humanities teaching, education, and research in iSchools, often in collaboration with other units and disciplines. Results provide a snapshot of the current state of digital humanities in iSchools which may usefully inform the design and evolution of new DH programs, degrees, and related initiatives.

Article highlights the SiDHELA language archive which was developed by the Centre for Endangered Languages and the Central Library at Sikkim University. It was presented at the 1st International Workshop on Digital Language Archives held on September 30-October 1, 2021 as part of the ACM/IEEE Joint Conference on Digital Libraries 2021.

Article proposing CoviSegNet, an enhanced U-Net model to segment ground-glass opacities and consolidations in CT scans of Covid-19 positive patients. The performance of CoviSegNet was evaluated on three public CT datasets. The experimental results show that the proposed CoviSegNet is highly promising.

This article discusses ethical issues involved in the clinical use of novel technologies.

Article discussing the importance of accounting for language contact and discourse circumstance in orthographic transcriptions of multilingual recordings of spoken language for deposit in digital language archives (DLAs). It was presented at the 1st International Workshop on Digital Language Archives held on September 30-October 1, 2021 as part of the ACM/IEEE Joint Conference on Digital Libraries 2021.

Article introduces the collaboration between the Computational Resource for South Asian Languages (CoRSAL) group and the University of North Texas (UNT) Digital Library to build a series of interconnected digital collections for various language communities. It was presented at the 1st International Workshop on Digital Language Archives held on September 30-October 1, 2021 as part of the ACM/IEEE Joint Conference on Digital Libraries 2021.

Article considering linguistic analyses as matters of ethical practice and quality assurance in the anonymization of recordings of spoken language for deposit in a digital language archive. It was presented at the 1st International Workshop on Digital Language Archives held on September 30-October 1, 2021 as part of the ACM/IEEE Joint Conference on Digital Libraries 2021.

Article presenting a questionnaire designed to assess how archival materials can be made more readily available to language communities. It was presented at the 1st International Workshop on Digital Language Archives held on September 30-October 1, 2021 as part of the ACM/IEEE Joint Conference on Digital Libraries 2021.

Article providing remarks for a management plan for Brazilian linguistic documentation repositories in order to contribute to their conservation. It was presented at the 1st International Workshop on Digital Language Archives held on September 30-October 1, 2021 as part of the ACM/IEEE Joint Conference on Digital Libraries 2021.

This article trained machine learning techniques to classify Norwegian radiology reports of pediatric CT examinations according to their description of abnormal findings. The developed models are robust with respect to different contexts, and may be used in quality assurance processes.

This article focuses on citation recommendation in the related studies section by applying the term function of a citation context, potentially improving the efficiency of writing a literature review. The citation recommendation strategy can be helpful for valuable citation discovery, semantic scientific retrieval, and automatic literature review generation.

This article reports the first empirical investigation of various dimensions of organization and representation of recorded knowledge and information in language archives. The study used a combination of semi-structured interviews and content analysis. Results demonstrate that, while some of the phenomena related to organization of information in language archives are specific to these types of archives, others are more typical and have been addressed by libraries in past research and practice.

This article provides a content analysis of studies from 2010 to 2020 aiming to disclose how artificial intelligence (AI) has been applied to the education sector and explore the potential research trends and challenges of AI in education. The content analysis shows that the research questions can be classified into development layer (classification, matching, recommendation, and deep learning), application layer (feedback, reasoning, and adaptive learning), and integration layer (affection computing, role-playing, immersive learning, and gamification).

This article presents a study that aims to identify strategies for using video-based social media to combat stigmatized diseases, such as mental health, among college students. The authors identify effective strategies for designing video-based social media content for supporting college students’ mental health. Results show that the videos where individuals share their personal stories, as well as experiential knowledge (ie, tips and advice), engaged more viewers in both the short term and long term. Individuals’ videos on YouTube showed the potential to support college students' mental health in unique ways, such as providing social support, validating experience, and sharing the positive experience of help-seeking.

This article applies learning analytics to design a smart collaborative educational game to enhance primary school children's learning of English vocabulary. The findings of this study can help researchers and practitioners incorporate LA in their educational games to help students enhance language acquisition.

This article is a review of literature for skills comprised within the Accreditation Board of Engineering and Technology (ABET) criteria determined 26 topics necessary for the entry-level and continued success of engineers. The findings suggest that although entry-level engineers have proficiency in all of these ABET required skills, the entry-level engineers were not meeting the level of importance expressed by the organization for 24 of these 26 skills.

This article investigates the use of synthetic data for the annotation and automated extraction of family history information relating to cases of cardiac disease from Norwegian clinical text. This work assesses the validity and applicability of the annotated synthetic corpus using machine learning techniques. The methodology outlined in this article may be useful in other situations where limited availability of clinical text hinders NLP tasks.

This article covers the challenges brought about for teachers and learners from transitioning to online education due to the COVID-19 pandemic. The authors reflect on these challenges based on discussions at EDUsummIT2019 in Quebec about the theme “Learners and learning contexts: New alignments for the digital age." Informed by theoretical conceptualization and empirical evidence the authors identify micro-meso-macro alignments that need to be in place to move education into the digital age: alignments for quality learning contexts, alignments in support for teachers, and alignments through partnerships.