is an opportunistic pathogen that causes a variety of acute and chronic infections. Usually a commensal on the host body, is capable of transforming into a virulent pathogen upon sensing favorable changes in the host immune system or stress cues. infections are hard to eradicate, because this pathogen has developed strong resistance to most conventional antibiotics; in addition, in chronic infections it commonly forms a biofilm matrix, which provides bacterial cells a protected environment to withstand various stresses including antibiotics. Given its importance as a human pathogen and its notorious antimicrobial tolerance, has been the subject of intensive investigations internationally. Research progress over the last two decades has unveiled a range of chemical communication systems in this pathogen. These diversified chemical communication systems endow a superb ability and remarkable flexibility to coordinate and modulate accordingly the transcriptional expression of various sets of genes associated with virulence and other physiologic activities in response to environmental changes. A fair understanding of the chemical signaling mechanisms with which governs virulence gene expression may hold the key to developing alternative therapeutic interventions that control and prevent bacterial infections.
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http://dx.doi.org/10.1146/annurev-micro-020518-120044 | DOI Listing |
J Med Internet Res
January 2025
School of Computer Science, University of Technology Sydney, Sydney, Australia.
The integration of artificial intelligence (AI) into health communication systems has introduced a transformative approach to public health management, particularly during public health emergencies, capable of reaching billions through familiar digital channels. This paper explores the utility and implications of generalist conversational artificial intelligence (CAI) advanced AI systems trained on extensive datasets to handle a wide range of conversational tasks across various domains with human-like responsiveness. The specific focus is on the application of generalist CAI within messaging services, emphasizing its potential to enhance public health communication.
View Article and Find Full Text PDFSupport Care Cancer
January 2025
School of Nursing & Midwifery, University of Southern Queensland, Toowoomba, Australia.
Purpose: The Chinese community constitutes the largest demographic and faces the highest rates of cancer incidence in Singapore. Given this, palliative care plays a crucial role in supporting individuals, particularly those nearing the end of life, with family serving as their primary source of support. Many Chinese family caregivers in Singapore reported significant unmet needs in cancer care provision, with studies indicating that they often bear the brunt of caregiving responsibilities.
View Article and Find Full Text PDFIEEE/ACM Trans Audio Speech Lang Process
February 2024
CRSS: Center for Robust Speech Systems; Cochlear Implant Processing Laboratory (CILab), Department of Electrical and Computer Engineering, University of Texas at Dallas, USA.
The presence of background noise or competing talkers is one of the main communication challenges for cochlear implant (CI) users in speech understanding in naturalistic spaces. These external factors distort the time-frequency (T-F) content including magnitude spectrum and phase of speech signals. While most existing speech enhancement (SE) solutions focus solely on enhancing the magnitude response, recent research highlights the importance of phase in perceptual speech quality.
View Article and Find Full Text PDFPlants evolve diverse communication systems in adapting to complex and variable environments. Here, we examined the relationship between plant architecture, population density and inter-plant communication within tree species. We tested the hypothesis that trees of species with complex architecture or high population density (high population density: HPD) communicate among conspecifics via volatiles.
View Article and Find Full Text PDFJ Clin Transl Sci
December 2024
Center for Clinical and Translational Science, University of Alabama at Birmingham, Birmingham, AL, USA.
Unlabelled: To evaluate the design of I-Corps@NCATS as a translational scientist training program, we mapped specific elements of the program's content and pedagogy to the characteristics of a translational scientist, as first defined by Gilliland et al. []: systems thinker, process innovator, boundary spanner, team player, and skilled communicator. Using a mixed-methods evaluation, we examined how the I-Corps@NCATS training program, delivered across twenty-two Clinical and Translational Science Award Hubs, impacted the development of these key translational scientist characteristics.
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