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Heart failure with preserved ejection fraction (HFpEF) accounts for half of the heart failure cases. It is characterised by microvascular dysfunction, associated with reduced pericyte coverage and diminished STAT3 expression in pericytes. Loss of STAT3 impairs pericyte adhesion, promotes senescence, and activates a pro‐fibrotic gene program.
Leah Rebecca Vanicek+15 more
wiley +1 more source
Utility Analysis about Log Data Anomaly Detection Based on Federated Learning
Logs that record system information are managed in anomaly detection, and more efficient anomaly detection methods have been proposed due to their increase in complexity and scale.
Tae-Ho Shin, Soo-Hyung Kim
doaj +1 more source
Abstract Creating high-quality datasets for the task of video anomaly detection is challenging due to a subjective anomaly definition and the rarity of anomalies, which oust the possibility of obtaining statistically significant data. This results in datasets where anomalies are placed in a single category, and are often considered less ...
Dueholm, Jacob Velling+4 more
openaire +2 more sources
NAD+ regeneration by mitochondrial complex I NADH dehydrogenase is important for cancer cell proliferation. Specifically, NAD+ is necessary for the activities of NAD+‐dependent deacetylases SIRT3 and SIRT7, which suppress the expression of p21Cip1 cyclin‐dependent kinase inhibitor, an antiproliferative molecule, at the translational and transcriptional
Masato Higurashi+5 more
wiley +1 more source
Hyperspectral anomaly detection: a performance comparison of existing techniques
Anomaly detection in Hyperspectral Imagery (HSI) has received considerable attention because of its potential application in several areas. Numerous anomaly detection algorithms for HSI have been proposed in the literature; however, due to the use of ...
Noman Raza Shah+6 more
doaj +1 more source
A Systematic Review of Anomaly Detection within High Dimensional and Multivariate Data
In data analysis, recognizing unusual patterns (outliers’ analysis or anomaly detection) plays a crucial role in identifying critical events. Because of its widespread use in many applications, it remains an important and extensive research brand in data
Syahirah Suboh+4 more
doaj +1 more source
Classification of acute myeloid leukemia based on multi‐omics and prognosis prediction value
The Unsupervised AML Multi‐Omics Classification System (UAMOCS) integrates genomic, methylation, and transcriptomic data to categorize AML patients into three subtypes (UAMOCS1‐3). This classification reveals clinical relevance, highlighting immune and chromosomal characteristics, prognosis, and therapeutic vulnerabilities.
Yang Song+13 more
wiley +1 more source
Name anomaly detection for ICN [PDF]
—Information leakages are one of the main security threats in today's Internet. As ICN is expected to become the core architecture for Future Internet, it is therefore mandatory to prevent this threat. This paper proves that some ICN configuration prevents information leakages via Data packets and shows that it is an open problem to prevent interest ...
Kondo, Daishi+4 more
openaire +4 more sources
Practical autoencoder based anomaly detection by using vector reconstruction error
Nowadays, cloud computing provides easy access to a set of variable and configurable computing resources based on user demand through the network. Cloud computing services are available through common internet protocols and network standards. In addition
Hasan Torabi+2 more
semanticscholar +1 more source
The tumor microenvironment is a dynamic, multifaceted complex system of interdependent cellular, biochemical, and biophysical components. Three‐dimensional in vitro models of the tumor microenvironment enable a better understanding of these interactions and their impact on cancer progression and therapeutic resistance.
Salma T. Rafik+3 more
wiley +1 more source