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Unveiling the molecular mechanism of sepal curvature in Section through full-length transcriptome and RNA-seq analysis.
Front Plant Sci
December 2024
Chongqing Key Laboratory of Big Data for Bio Intelligence, Chongqing University of Posts and Telecommunications, Chongqing, China.
Introduction: Orchids are renowned for their intricate floral structures, where sepals and petals contribute significantly to ornamental value and pollinator attraction. In Section , the distinctive curvature of these floral organs enhances both aesthetic appeal and pollination efficiency. However, the molecular and cellular mechanisms underlying this trait remain poorly understood.
View Article and Find Full Text PDFDiscovering prominent differences in structural and functional connectomes using a multinomial stochastic block model.
Netw Neurosci
December 2024
Department of Applied Mathematics and Computer Science, Technical University of Denmark, Lyngby, Denmark.
Understanding the differences between functional and structural human brain connectivity has been a focus of an extensive amount of neuroscience research. We employ a novel approach using the multinomial stochastic block model (MSBM) to explicitly extract components that characterize prominent differences across graphs. We analyze structural and functional connectomes derived from high-resolution diffusion-weighted MRI and fMRI scans of 250 Human Connectome Project subjects, analyzed at group connectivity level across 50 subjects.
View Article and Find Full Text PDFA spatially constrained independent component analysis jointly informed by structural and functional network connectivity.
Netw Neurosci
December 2024
Tri-institute Translational Research in Neuroimaging and Data Science (TReNDS Center), Georgia State University, Georgia Institute of Technology, Emory University, Atlanta, GA, USA.
There are a growing number of neuroimaging studies motivating joint structural and functional brain connectivity. The brain connectivity of different modalities provides an insight into brain functional organization by leveraging complementary information, especially for brain disorders such as schizophrenia. In this paper, we propose a multimodal independent component analysis (ICA) model that utilizes information from both structural and functional brain connectivity guided by spatial maps to estimate intrinsic connectivity networks (ICNs).
View Article and Find Full Text PDFAssuring assistance to healthcare and medicine: Internet of Things, Artificial Intelligence, and Artificial Intelligence of Things.
Front Artif Intell
December 2024
Hospital and Rehabilitation Centre for the Disabled Children (HRDC), Banepa, Nepal.
Introduction: The convergence of healthcare with the Internet of Things (IoT) and Artificial Intelligence (AI) is reshaping medical practice with promising enhanced data-driven insights, automated decision-making, and remote patient monitoring. It has the transformative potential of these technologies to revolutionize diagnosis, treatment, and patient care.
Purpose: This study aims to explore the integration of IoT and AI in healthcare, outlining their applications, benefits, challenges, and potential risks.
The Standardization and Quantification of Nuclear Factor Kappa B p65 by Real-Time Quantitative Polymerase Chain Reaction.
Cureus
November 2024
Microbiology, Retired-Private Practice, Chennai, IND.
The accurate quantification of nuclear factor Kappa B p65 (NF-κB p65) is critical for understanding inflammatory mechanisms, especially in HIV-1 infected individuals, where NF-κB p65 contributes to chronic immune activation. Conventional methods such as enzyme-linked immunosorbent assay (ELISA) and western blotting are limited in terms of sensitivity and reproducibility. This study aimed to devise a standardized real-time quantitative polymerase chain reaction (RT-qPCR) assay for NF-κB p65 using specifically designed primers and a probe.
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