Article describes how accurately predicting the condition rating of a bridge deck is crucial for effective maintenance and repair planning. This study aims to assess the effectiveness of these algorithms for deck condition rating prediction at the national level.

Article describes how during emergencies like fire and smoke or active shooter events, there is a need to address the vulnerability and assess plans for evacuation. This paper presents the development and evaluation of the mobile augmented reality application designed specifically for acquiring spatial analysis, situational awareness, and visual communication.

Article describes how the End of Term (EOT) Web Archive Dataset presents a longitudinal dataset of the US federal web which includes publicly available .gov and .mil domains, created during the 2008, 2012, 2016, and 2020 presidential elections in the United States. The authors describe how based on the End of Term Web Archive, this dataset presents 461TB of WARC data and accompanying derivative files in WAT, WET, and CDX format.

Article describes how, since 2008, the End of Term Web Archive has been gathering snapshots of the federal web, consisting of the publicly accessible .gov and .mil websites. This paper describes the decisions made in the creation of these derivatives, the technologies used, and introduces the WARC Metadata Sidecar, which presents a useful approach for creating and storing auxiliary metadata for web archives.

Article describes how the utilization of dermoscopic analysis is becoming increasingly critical for diagnosing skin diseases by physicians and even artificial intelligence. The authors aimed to develop a domain-specific ontology to formally represent knowledge for certain dermoscopic features.

Article discusses how, in the era of intelligent applications, Mobile Edge Computing (MEC) is emerging as a promising technology that provides abundant resources for mobile devices. The authors of the article introduce a novel Device-to-Device (D2D)-assisted system to address this challenge.

Article for a study aimed to develop understanding of the current state of metadata practices in digital collections of archival institutions in the Arabian Gulf region. It also explored perspectives (including attitudes and possible barriers) for development of large-scale regional portals that would facilitate discovery of Arab digital archives (including language collections) by aggregating metadata. 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 explores the training gap between the way these materials are organized and represented and the understanding of that data – and expectations towards the more functional ways of its organization and representation – by language preservation and revitalization researchers, and by members of language communities. Information resources collected by language archives have unique attributes of importance to their target user groups, and these attributes and their representation are not currently widely addressed by the formal training provided to information professionals. 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 reporting on how journal articles are presented within the Open Language Archive Community’s (OLAC) OAI-PMH aggregator for language resources. Understanding how secondary journal materials are presented in OLAC records is a first step towards increasing the end-user utility of the OLAC aggregator. 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 presenting two methods for connecting aggregated records to their source institutional metadata profiles. The use case of the Open Language Archives Community (OLAC) application profile is considered and evaluated. 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 asserts that international students face unique challenges in pursuing higher education in a foreign country. To address these challenges and enhance their academic experience, higher education institutions are increasingly exploring the use of artificial intelligence (AI) applications. The research paper explores various AI applications, such as personalized learning experiences, adaptive testing, predictive analytics, and chatbots for learning and research.

Article describes how, to reduce the conceptual ambiguity in interdisciplinary knowledge organization systems (KOSs) and enhance interdisciplinary KOS management, this paper proposes a framework for interdisciplinary semantic drift (ISD) detection based on the normal cloud model (NCM). The research indicates the meaning of an interdisciplinary concept will drift from the high KPE discipline to the low KPE discipline as long as interdisciplinary knowledge potential differences (KPD) exist between these two related disciplines.

Authors of article conduct a content analysis of research on technology use for teaching mathematics to students with disabilities. They applied word networks and structural topic modeling of 488 studies published from 1980 to 2021. Results showed that the words “computer” and “computer-assisted instruction” had the highest degree of centrality in the 1980s and 1990s, and “learning disability” was another central word in the 2000s and 2010s.

Authors of the article suggest that the novelty of Intentional Model of Pedagogical Process Guidance (IMPPG) is the effectiveness use of Cognitive Trait Model to be aware of different traits of learner. This model has been experimented and assessed with tutors and students learning spreadsheet management in a first-year studying in applied license’s degree in Business English and applied license’s degree in Education.

Conference paper reporting results of the examination of metadata records for Arabic-language eBooks to support ongoing metadata education in the Arabian Gulf region. The results are presented in-context, after introducing the metadata teaching practices at this undergraduate program, and the major Dublin Core skill-building assignment. This is a manuscript version of a published work. Citation information is available for the published version of the work.

Conference paper for an exploratory study that examined student-created metadata for physical non-text resources. The authors applied in-depth qualitative and quantitative content analysis to the Dublin Core (DCTERMS) metadata created by the graduate students in two sections of an introductory digital library metadata course. Finding of comparative analysis for the asynchronous course section and the section with synchronous class meetings are also presented. Implications are discussed, along with future directions for research. This is a manuscript version of a published work. Citation information is available for the published version of the

Article describes how in digital image processing and steganography, images are often described using edges and local binary pattern (LBP) codes. The authors state that by combining these two properties, a novel hybrid image steganography method of secret embedding is proposed in this paper.

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

Article describes how, the goal of ITS is to support learning content, activities, and resources, adapted to the specific needs of the individual learner and influenced by learner’s motivation. This research proposes an intentional model that adopts Map formalism to support personalized learning guidance by considering learner’s motivation.

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 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.

This article is an exploratory study providing empirical data on language archive user needs and supports some anecdotal evidence of known issues facing language archive end-users, depositors, and managers in primarily academic contexts.

Article discusses how, during the COVID-19 pandemic, US public health authorities and county, state, and federal governments recommended or ordered certain preventative practices, such as wearing masks, to reduce the spread of the disease. The purpose of this study was to understand the variations in public sentiment toward COVID-19 and the recommended or ordered preventive practices from the temporal and spatial perspectives, as well as how the variations in public sentiment are related to geographical and socioeconomic factors.

This article presents a consolidated review of Independent Component Analysis (ICA) as an efficient neural coding scheme with the ability to model early visual and auditory neural processing.