Category Ranking
98%
Total Visits
921
Avg Visit Duration
2 minutes
Citations
20
Article Abstract
Download full-text PDF |
Source |
|---|---|
| http://www.ncbi.nlm.nih.gov/pmc/articles/PMC12147710 | PMC |
| http://dx.doi.org/10.1016/j.jcct.2024.03.003 | DOI Listing |
Publication Analysis
Top Keywords
Similar Publications
Sequestration, recovery, and reuse of cationic, anionic, and non-ionic dyes using bentonite.
Environ Sci Pollut Res Int
September 2025
Department of Dyes and Chemical Engineering, Bangladesh University of Textiles, Dhaka, Bangladesh.
This study quantitatively evaluated the adsorption performance of natural bentonite for removing three dye classes-cationic (Basic dye: BEZACRYL RED GRL), anionic (Reactive dye: AVITERA LIGHT RED SE), and non-ionic (Disperse dye: BEMACRON BLUE HP3R) from synthetic textile wastewater. Batch adsorption experiments were conducted under varying conditions of contact time (15-90 min), adsorbent dosage (20-60 g L⁻), pH (4 and 12), and temperature (25-100 °C), with dye concentrations quantified by UV-Vis spectroscopy. At a contact time of 30 min and room temperature (25 °C), maximum removal efficiencies reached 99.
View Article and Find Full Text PDFLanguage switching during production: The influence of preceding exposure to other bilinguals in different switching contexts.
Mem Cognit
September 2025
Department of Psychology, University of York, York, YO10 5DD, UK.
Language control has been argued to adapt dynamically to the language context bilinguals are communicating in (Green & Abutalebi, 2013). Previous research has suggested that the demands of the task and current context itself can influence a bilingual's language behaviour and potentially also their language control. Here, we examined how the preceding context, specifically the switching patterns of another bilingual in that context, can influence a bilingual's own language control during production.
View Article and Find Full Text PDFA real old man: Aging masculinity and late-life creativity in Ernest Hemingway's The Old Man and the Sea.
J Aging Stud
September 2025
University of Southern Denmark, Department of Culture and Language, Campusvej 55, 5230 Odense, Denmark. Electronic address:
There is surprisingly little age-critical research on Ernest Hemingway's The Old Man and the Sea (1952), even though the novella seems like an obvious choice for age studies. This article reviews foundational concepts and approaches in age studies on gender, performativity, creativity and space and brings them into dialog with The Old Man and the Sea. In the first part, the representation of older age and gender is emphasized through an analysis of the intersectional and performative nature of the old man's aging masculinity, including a focus on the aesthetic choices which contribute to the novella's semantic complexity.
View Article and Find Full Text PDF[The Dawn of Generative AI in Medicine: Empathy Through Emulation].
Dtsch Med Wochenschr
September 2025
Klinik für Kardiologie, Angiologie und Pneumologie, Institut für Cardiomyopathien Heidelberg, Universitätsklinikum Heidelberg, Heidelberg, Deutschland.
Rapid advancements in Artificial Intelligence (AI) have significantly impacted multiple sectors of our society, including healthcare. While conventional AI has been instrumental in solving mainly image recognition tasks and thereby adding in well-defined situations such as supporting diagnostic imaging, the emergence of generative AI is impacting on one of the main professional competences: doctor-patient interaction.A convergence of natural language processing (NLP) and generative AI is exemplified by intelligent chatbots like ChatGPT.
View Article and Find Full Text PDFIntegrating rule-based NLP and large language models for statin information extraction from clinical notes.
Int J Med Inform
September 2025
Department of Biomedical Informatics, Vanderbilt University Medical Center, Nashville, TN, USA; Department of Medicine, Vanderbilt University Medical Center, Nashville, TN, USA. Electronic address:
Background: Identifying patient-specific barriers to statin therapy, such as intolerance or deferral, from clinical notes is a major challenge for improving cardiovascular care. Automating this process could enable targeted interventions and improve clinical decision support (CDS).
Objective: To develop and evaluate a novel hybrid artificial intelligence (AI) framework for accurately and efficiently extracting information on statin therapy barriers from large volumes of clinical notes.