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http://dx.doi.org/10.5826/dpc.1104a142 | DOI Listing |
ACS Sens
December 2024
Tor Vergata University of Rome, Department of Chemical Sciences and Technologies, Rome 00133, Italy.
A consistent part of gas sensor research activities aims to improve sensing performances by synthesizing new sensing materials, improving the selection of elements in arrays, and optimizing the feature extraction and classification algorithms. This paper combines most of these aspects to confer selectivity to a low-selectivity sensor by using feature extraction algorithms applied to the sensor response kinetics. Several algorithms were employed to represent the kinetic behavior of the sensor response during the adsorption and desorption phases.
View Article and Find Full Text PDFCureus
November 2024
Dermatology, University of Florida, Gainesville, USA.
Retention in dermatological clinical trials is critical for ensuring the validity and reliability of study outcomes, yet participant dropout remains a pervasive challenge. In this analysis, the primary aim is to explore the psychological mechanisms underpinning the efficacy of a buddy system in enhancing retention rates in such trials. The buddy system, where participants are paired with peers who have previously participated in similar clinical trials offers mutual support and leverages the principles of social bonding, accountability, and shared experience to foster commitment and reduce attrition.
View Article and Find Full Text PDFBMC Med Educ
December 2024
Institute of Education and Student Affairs, University of Münster, Niels-Stensen-Straße 12, Münster, 48149, Germany.
Background: The emergence of virtual reality (VR) for medical education enables a range of new teaching opportunities. Skills and competences can be trained that cannot be demonstrated in any other way due to physical or ethical limitations. Immersion and presence may play an important role for learning in this context.
View Article and Find Full Text PDFInt J Nanomedicine
November 2024
Department of Pharmaceutics, College of Pharmaceutical Sciences and Drug Manufacturing, Misr University for Science and Technology, 6th of October City, Giza, Egypt.
Purpose: This study aims to prepare Loratadine-loaded chitosan/tannic acid nanoparticles (LOR-CS/TAN NPs) through ionic gelation to be used as an anti-proliferative agent to aid in overcoming breast cancer propagation.
Methods: First, in-silico virtual screening was carried out to select the most appropriate anti-histaminic drug based on its inhibitory effect on the H1-histamine receptor, resulting in the selection of Loratadine (LOR). Molecular interaction between LOR with chitosan (CS), a positively charged polymer, and hyaluronan, a negatively charged polymer, was investigated separately through molecular docking, leading to the selection of CS.
Int J Dermatol
November 2024
Department of Dermatology, Yale University School of Medicine, New Haven, Connecticut, USA.
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