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Filename: drivers/Session_files_driver.php
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Function: require_once
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Filename: controllers/Detail.php
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Function: _error_handler
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Function: require_once
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Filename: controllers/Detail.php
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File: /var/www/html/application/controllers/Detail.php
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Function: _error_handler
File: /var/www/html/index.php
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Message: Trying to access array offset on value of type null
Filename: controllers/Detail.php
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Function: _error_handler
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Function: _error_handler
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Filename: models/Detail_model.php
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Function: strpos
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Function: insertAPISummary
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Filename: helpers/my_audit_helper.php
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Function: str_replace
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Function: formatAIDetailSummary
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Filename: controllers/Detail.php
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Filename: controllers/Detail.php
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Filename: controllers/Detail.php
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Heart failure (HF) syndrome is of great interest as an emerging epidemic. Due to the increasing elderly population worldwide, the total number of HF patients is increasing every day. This disease places a significant economic burden on the healthcare and treatment systems of developing societies, and this situation is very concerning. Despite many advances in the diagnosis and treatment of cardiovascular diseases, HF is still the main cause of death worldwide. This clinical syndrome has many cellular and molecular complications, which are often aggravated by increased levels of pro-inflammatory cytokines, which lead to adverse clinical outcomes. Nuclear factor kappa B (NF-κB), a pivotal family of transcription factors, plays a crucial role in various biological processes, particularly in inflammation, immune response, cell proliferation, and cell survival. Studies show that the NF-κB signaling pathway plays a role in modulating cardiac regeneration, apoptosis, and myocardial fibrosis. It has been found that the NF-κB signaling pathway can affect heart function and HF through the regulation of matrix metalloproteinases and fibrotic mediators. Also, the NF-κB pathway regulates cell activities in cardiac cardiomyocytes and regulates the function of this organ by establishing a precise interaction between apoptosis and pyroptosis. However, the exact molecular mechanisms of this influence have not been well defined and there are many scientific gaps in this matter. This review tries to highlights potential therapeutic strategies to target NF-κB, including the use of anti-inflammatory agents and genetic modulation, which may provide new ways to reduce cardiac fibrosis and improve outcomes in HF patients. Certainly, increasing understanding of the multifaceted role of NF-κB in HF can lead to innovative treatments aimed at reducing the growing number of patients worldwide.
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http://dx.doi.org/10.1016/j.heliyon.2024.e40812 | DOI Listing |
Nanotechnology
December 2024
Donghua University, 1882 West Yan'an Road, Shanghai, 200051 , CHINA.
To advance the industrialization of flexible strain sensors, an innovative flexible sensing fiber was developed through a sophisticated wet spinning process. Silver trifluoroacetate (C2AgF3O2) and graphene oxide (GO) were combined with thermoplastic polyurethane (TPU) to prepare the fibers via wet spinning. Ascorbic acid (L-AA) was used to in situ reduce the silver trifluoroacetate and graphene oxide within the polyurethane, causing the growth of silver nanoparticles to bond with reduced graphene oxide, forming a dual conductive pathway.
View Article and Find Full Text PDFJ Neural Eng
December 2024
Trinity College Dublin, College Green, Dublin 2, Dublin, D02 PN40, IRELAND.
Speech comprehension involves detecting words and interpreting their meaning according to the preceding semantic context. This process is thought to be underpinned by a predictive neural system that uses that context to anticipate upcoming words. Recent work demonstrated that such a predictive process can be probed from neural signals recorded during ecologically-valid speech listening tasks by using linear lagged models, such as the temporal response function.
View Article and Find Full Text PDFJ Neural Eng
December 2024
West China Hospital of Sichuan University, No.37 Guoxue Alley, Wuhou District, Chengdu City, Sichuan Province, Chengdu, Sichuan, 610041, CHINA.
Objective: Brain-computer interface(BCI) is leveraged by artificial intelligence in EEG signal decoding, which makes it possible to become a new means of human-machine interaction. However, the performance of current EEG decoding methods is still insufficient for clinical applications because of inadequate EEG information extraction and limited computational resources in hospitals. This paper introduces a hybrid network that employs a Transformer with modified locally linear embedding and sliding window convolution for EEG decoding.
View Article and Find Full Text PDFJ Neural Eng
December 2024
University of California San Francisco, 513 Parnassus Avenue, S362, SAN FRANCISCO, San Francisco, 94143, CHINA.
Objective: Electroencephalography (EEG) and Magnetoencephalography (MEG) are widely used non-invasive techniques in clinical and cognitive neuroscience. However, low spatial resolution measurements, partial brain coverage by some sensor arrays, as well as noisy sensors could result in distorted sensor topographies resulting in inaccurate reconstructions of underlying brain dynamics. Solving these problems has been a challenging task, This paper proposes a robust framework based on electromagnetic source imaging for interpolation of unknown or poor quality EEG/MEG measurements.
View Article and Find Full Text PDFJ Agric Food Chem
December 2024
College of Animal Science and Technology, Northwest A&F University, Yangling, Shaanxi 712100, PR China.
Intramuscular fat (IMF) content is a critical indicator of the beef nutritional value and flavor. In this study, we focused on bta-miR-484, a microRNA that is differentially expressed during the adipogenic differentiation of bovine intramuscular adipocytes and is negatively correlated with the IMF content across different cattle breeds. Our findings demonstrate that bta-miR-484 inhibits adipogenic differentiation without altering the fatty acid composition of bovine intramuscular adipocytes.
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