Article analyzing the 2020 Texas Public Library Statistics and a portion of the 2019 and 2018 data. It examined various services from libraries located in the areas with a population of less than 5,000. This is the Accepted Manuscript version of a published article.

Article presenting an overview of the Bharatavani project, which focuses on recording socio-cultural and linguistic information about 121 Indian languages and making it accessible to a broader audience. It was presented at the 2nd International Workshop on Digital Language Archives held on June 30, 2023 as part of the ACM/IEEE Joint Conference on Digital Libraries 2023.

Article examines the nature of the super-short vowel-like segments between the C- prefixes of the Lamkang language by combining acoustic analysis with speakers' intuitions about syllable structure. The authors argue that an accurate phonetic description of Lamkang vowels must include these super-short vowels, as well as long and short vowels, which are phonemically distinct.

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 provides a systematic comparison and detailed analysis of two prenominal possessive constructions in Yiddish, the familiar mayn khaver ‘my friend’ and the less well-known mayner a khaver ‘a friend of mine.’

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

This article builds on health information behavior literature and participatory research models with indigenous communities to develop strategies for future work with indigenous communities of speakers of endangered languages, proposing a participatory methodology for future work with communities of endangered language speakers related to health using ethnographic interviews and focus groups.

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.

Article reviews opportunities for novel brain-behavior characterizations. Emphasis is placed on the increasing concern of neuropsychology with these topics and the need for development in these areas to maintain relevance as a scientific discipline and advance scientific developments.

This article investigates information transmission networks and news-sharing behaviors regarding COVID-19 on Twitter in Korea. The real time aggregation of social media data can serve as a starting point for designing strategic messages for health campaigns and establishing an effective communication system during this outbreak.

Article examines K-12 students and parents in the United States’ experiences and challenges during the sudden shift to distance learning during the COVID19 crisis. This article is part of the special issue: Learning and learning ecosystems in the time of Covid-19.

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 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 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 is a study describing the canal transportation of the different file systems in various combinations of the “Glide path (Gp)” by cone-beam computed tomography (CBCT).

Article provides assemblage maps showing the elements related to creativity, innovation, and creativity and innovation. These assemblage maps highlight virtual and dynamic flight lines that represent potentially active components with varying intensity and direction, which provides a tool for managers and practitioners to identify potentialities for future predictions better.

Correction to article changes the name of one of the authors.

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.

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.

Conference paper elucidates the issues facing language archive managers and users through two steps: content analysis of information organization in language archives, and semi-structured interviews with language archive managers and users. Primary challenges identified include lacking institutional support and a range of factors which impact authority control in language archives. This version is the author's accepted manuscript.

The article focuses on a systematic review of current team effectiveness frameworks and models. A narrative-based method for theorizing was utilized to develop a new MTS team effectiveness framework. This research contributes to the MTS literature by providing a new formula for team effectiveness at both the team level (team effectiveness formula) and the MTS level (MTS team effectiveness formula).

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.