With the development of ocean exploration technology and the rapid growth in the amount of marine science observation data, people are faced with a great challenge to identify valuable data from the massive ocean observation data. A recommendation sy...
We introduce a similarity-based ensemble framework for assessing the AI-readiness of topic-based technical content in Retrieval-Augmented Generation (RAG) contexts. Rather than evaluating RAG performance through query-and-answer measurements, the pro...
The quality of the user-generated content of citizen science platforms has been discussed widely among researchers. Content is categorized into data and information: data is content stored in a database of a citizen science platform, while informatio...
This study addresses the high degree of subjectivity and the supply–demand imbalance in wetland park science communication. Taking the Nanjing Longpao Yangtze River Provincial Wetland Park as a case study, it develops a data-driven, sustainabil...
This study develops an immersive marine Information and Communication Technology (ICT) convergence framework designed to enhance coastal climate resilience by improving accessibility, visualization, and communication of scientific research on Dokdo (...
The European Space Agency (ESA) defines Earth observation (EO) Level 2 information product the stack of: (i) a single-date multi-spectral (MS) image, radiometrically corrected for atmospheric, adjacency and topographic effects, with (ii) its data-der...
Electronic Learning (e-learning) has made a great success and recently been estimated as a billion-dollar industry. The users of e-learning acquire knowledge of diversified content available in an application using innovative means. There is much e-l...
Exoskeletons have emerged as a vital technology in the last decade and a half, with diverse use cases in different domains. Even though several works related to the analysis of Tweets about emerging technologies exist, none of those works have focuse...
This paper examines the relevance of information architectures of content used for RAG-based systems within the domain of software documentation. It specifically focuses on how information architectures impact the retrieval performance of such docume...
This paper examines how semantic information architectures within technical communication shape topic ensemble properties being relevant for retrieval-augmented generation (RAG) systems. They allow for investigating the AI-readiness of technical cont...
Social media and other forms of volunteered geographic information (VGI) are used frequently as a source of fine-grained big data for research. While employing geographically referenced social media data for a wide array of purposes has become common...
This study explores two World Heritage Sites (WHS) as tourism destinations by applying several uncommon techniques in these settings: Smart Tourism Analytics, namely Text mining, Sentiment Analysis, and Market Basket Analysis, to highlight patterns a...
In the cultural tourism field, there has been an increasing interest in adopting data-driven approaches that are aimed at measuring the service quality dimensions through online reviews. To date, studies measuring quality dimensions in cultural touri...
26 February 2020
Binge Drinking (BD) is a common risky behaviour that people hardly report to healthcare professionals, although it is not uncommon to find, instead, personal communications related to alcohol-related behaviors on social media. By following a data-dri...
This paper addresses content reuse analytics and AI readiness assessment in the domain of maritime product component suppliers, with a particular emphasis on RAG processes and the role of reuse-related metrics. Built on previous research in technical...
Background/Objectives: Hippocampus segmentation in brain MRI is challenging because the structure is small, irregularly shaped, and poorly contrasted against surrounding tissue. Increasingly complex U-Net variants improve accuracy at computational co...
Conditional phrases provide fine-grained domain knowledge in various industries, including medicine, manufacturing, and others. Most existing knowledge extraction research focuses on mining triplets with entities and relations and treats that triplet...
Due to inter-modal effects hidden in multi-modalities and the impact of weak modalities on multi-modal entity alignment, a Multi-modal Entity Alignment Method with Inter-modal Enhancement (MEAIE) is proposed. This method introduces a unique modality...
Entity and relation linking are the core tasks in knowledge base question answering (KBQA). They connect natural language questions with triples in the knowledge base. In most studies, researchers perform these two tasks independently, which ignores...
Event detection (ED) aims to detect events from a given text and categorize them into event types. Most of the current approaches to ED rely heavily on the human annotations of triggers, which are often costly and affect the application of ED in othe...
In medical texts, temporal information describes events and changes in status, such as medical visits and discharges. According to the semantic features, it is classified into simple time and complex time. The current research on time recognition usu...
This study deals with the implementation of cognitively challenging tasks for students in science education following professional development interventions for teachers based on the theory of change. These tasks require non-routine behaviors and enc...
Alzheimer’s disease (AD) is a neurodegenerative condition that gradually deteriorates memory and cognitive abilities, posing a significant global health challenge. While convolutional neural networks (CNNs) applied to structural magnetic resona...
The evolving landscape of data science education poses challenges for instructors in general education classes. With the expansion of higher education dedicated to cultivating data scientists, integrating data science education into university curric...
Background/Objectives: Predicting how fast a patient with Alzheimer’s disease will decline over the next year remains a challenge. Existing blood transcriptomic studies have not established whether probe selection is reproducible, whether the s...
Alzheimer’s disease (AD) is a neurodegenerative disorder that causes progressive damage to brain neurons, leading to declines in cognitive and behavioral abilities. This deterioration often results in changes in personality and increasing diffi...
This study examines students’ perceptions of the subjects geography, mathematics, and computer science in integrated science, technology, engineering, and mathematics (STEM) lessons. Although the importance of an integrated approach in STEM edu...
In the United States, assessment is seen as a lever that can facilitate high-quality education. This study on English learners, students whose native language is not English, was based on data from eighth-grade English learners’ performance on...
For the task of answering complex logical queries on large-scale incomplete knowledge graphs, the promising approach is to embed the knowledge graph and complex logical queries into a low-dimensional space and perform iterative reasoning to find the...
Data science education is an interdisciplinary and multidisciplinary field, with curricula continually evolving to meet societal needs. This paper aims to report a bibliometric analysis focused on the pedagogical aspects and teaching/learning strateg...
The aim of this paper is to analyze the philosophical implications of the techno-scientific promises and discourses that generally surround big data, but also to nuance their content with respect to the concrete uses of these technologies in the natu...
Research data management (RDM) combines a set of practices for the organization, storage and preservation of data from research projects. The RDM strategy of a project is usually formalized as a data management plan (DMP)—a document that sets o...
Brain magnetic resonance imaging (MRI) is highly susceptible to motion artifacts that degrade fine structural details and undermine quantitative analysis. Conventional U-Net-based deep learning approaches for motion artifact reduction typically opera...
This study examines the research data curation processes used in the comprehensive open distance e-learning (CODeL) institution that supports open science. As a result, this study discusses the research data curation processes employed by the institu...
Introduction: It can be challenging integrating biomedical sciences into dentistry programs. The aim was to examine students’ perceptions of how joint biomedical courses with medical students and courses tailored for dental students supported their c...
Ground-penetrating radar (GPR) is an efficient and nondestructive geophysical method with great potential for detecting soil water content at the farmland scale. However, a key challenge in soil detection is obtaining soil water content rapidly and i...
Advancing Earth System Sciences (ESS) depends on our ability to integrate highly diverse data from a range of disciplines, including geographical information sciences, palaeontology, marine science, biodiversity research, atmospheric sciences and bio...
This study compares three pre-collegiate teacher professional learning and development (PLD) integrated science, technology, engineering, and mathematics (STEM) experiences framed in astronomy. The study is set in the western United States (USA) and...
The prediction of Alzheimer’s disease (AD) progression plays a very important role in the early intervention of patients and the improvement of life quality. Cognitive scales are commonly used to assess the patient’s status. However, due...
We propose two essential techniques to effectively train generative adversarial network-based super-resolution networks for brain magnetic resonance images, even when only a small number of training samples are available. First, stochastic patch samp...
In today’s world, preparing future science teachers is vital because they have the power to transform society and build a sustainable world by raising global citizens. In this manner, the purpose of the present study was to develop pre-service...
This article presents an overview of the ecosystem of citizen science development in Lithuania and its potential to address United Nations sustainable development goals (SDGs). As citizen science is still in the early development stage in Lithuania,...
Bridging the gap between cortical morphometric remodeling and gene expression can help to clarify the effects of the selective brain accumulation of Amyloid-
While recognizing the vital role of teachers in augmented reality (AR) integration, a noticeable literature gap exists regarding how science educators address challenges related to technology, pedagogy, and content during AR instructional design and...
Background: Integrated medical curricula commonly require the review of foundational science concepts in the context of clinical applications. A detailed analysis of the Des Moines University second-year medical curricula revealed that such reviews,...
Trends in International Mathematics and Science Study (TIMSS) is a comparative international assessment study conducted by the International Association for the Evaluation of Educational Achievement (IEA). TIMSS aims to study how educational opportun...
Teaching and learning experienced a rapid change in spring 2020, and the learning environments for university students changed almost overnight. An integrative science centre education informal learning course for Finnish teaching students has been a...
Over the past two decades, Citizen Science (CS) has experienced rapid growth, driven by technological advancements and the rise of digital platforms. This work examines the necessity for standardization in Citizen Science data management and discusse...
In recent decades, the integration of technology, particularly data logging, has become a cornerstone of effective science teaching, placing increased emphasis on the cultivation of teachers’ Technological Pedagogical Content Knowledge (TPACK)....
Scientific Literacy requires educational approaches across both formal and informal context, including Science Education and Science Communication (SC) on social media. This paper presents an educational research study involving Grade 5 and 8 student...
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