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 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.

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.

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).

Paper addressing the need for effective training in metadata creation for library and information science students through an overview of the metadata creation skill-building content of the online introductory graduate metadata course at the University of North Texas, results of the analysis of quality in student-created metadata records, and discussion of how the observed common metadata quality issues might inform curriculum development.

This article proposes a method to model evacuation flows and reveal the patterns of evacuation flows at different spatial scales. First, the authors present a method to characterize evacuation flows at different geographic scales: the state level, considering evacuation flows across southern states affected by Irma; the urban/rural area level, and the county level. Then they demonstrate results on the predictability of evacuation flows in the most affected state, Florida, by using the following environmental factors: the destructive force of the hurricane, the socioeconomic context, and the evacuation policy issued for counties. The results presented in this paper can help decision makers to better understand population evacuation behaviors given certain environmental features, which in turn will aid in the design of efficient and informed preparedness and response strategies.

This article analyzes item‐level metadata in three language archives by focusing on free‐text metadata: the Endangered Language Archive, Pacific Regional Archive for Digital Sources in Endangered Cultures, and the Archive of the Indigenous Languages of Latin America. The study identified categories of information included in Description metadata fields and the relative distribution of these categories.

This article presents a study that examined how three auditory lectures delivered at different speeds – normal (1.0x), fast (1.5x) and very fast (3.0x) speeds – affected graduate students’ attention, cognitive load, and learning.

Article uses 4E cognition as a framework to explore creativity in extreme environments. The article examines space arts as a case study through the history, present practices, and future possible arts in the context of humans beyond the Kármán boundary of the Earth’s atmosphere. This article is part of the research topic Creative Performance in Extreme Human Environments: Astronauts and Space

Article investigates Massive Open Online Courses (MOOC) impact on participants' actual practices.

Article studies information and communication technology (ICT) in tertiary education. This article is part of the special collection: Educational Psychology & Counseling, Educational Psychology.

Article highlighting the promise of extended reality platforms for greater ecological validity in the clinical, affective, and social neurosciences. This article belongs to the Special Issue: A Decade of Brain Sciences.

Article addressing if a new Bayesian framework can be introduced and ways to overcome subjectivity. The authors introduce a new method called Generalized Bayesian Dating (GBD) for inferring dates of language groups from lexical and phonological data. This work has implications for future performance testing in the area of linguistic dating.

Article is a study using cross-sectional methodology to investigate information sources and knowledge concerning the ZIKV virus among 300 under-served pregnant Latinas recruited from prenatal care clinics in the North Texas region. Bivariate and multiple logistic regression models are used to investigate associations between the primary outcomes and patient characteristics.

Article providing a review of the recent research literature on personalized learning as technology is changing how learning can be effectively personalized. The emphasis is on the terms used to characterize learning as those can suggest a framework for personalized and will eventually be used in meta-analyses of research on personalized learning.

Article proposing a computational method to quantify and dissect visual reasoning. The method characterizes spatial and temporal features and identifies common and contrast visual reasoning patterns to extract significant gaze activities. The visual reasoning patterns are explainable and can be compared among different groups to discover strategy differences. Empirical observations show that the method can capture the temporal and spatial features of human visual attention and distinguish expertise level. By revealing task-related reasoning processes, this method demonstrates potential for explaining human visual understanding.

This article presents a systematic literature review of papers published from 1960 to 2019 that illustrate hybrid simulation can be as effective as high fidelity simulators in certain training scenarios while at the same time providing a superior training context to enhance learners patient to care-giver interactions and to better immerse the trainee in the feelings and emotion of the scenario.

This article proposes monsters are documents and examines the coding and decoding of monster documents through a functional ontology lens. This article was presented at the 2020 Annual Meeting of the Document Academy.