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Information Splitting for Big Data Analytics
, 2016 Many statistical models require an estimation of unknown (co)-variance parameter(s) in a model. The estimation usually obtained by maximizing a log-likelihood which involves log determinant terms. In principle, one requires the \emph{observed information}
Gu, Tongxiang +3 more
core +1 more source
Cyclic nucleotide signaling as a drug target in retinitis pigmentosa
FEBS Letters, EarlyView.Disruptions in cGMP and cAMP signaling can contribute to retinal dysfunction and photoreceptor loss in retinitis pigmentosa. This perspective examines the mechanisms and evaluates emerging evidence on targeting these pathways as a potential therapeutic strategy to slow or prevent retinal degeneration.
Katri Vainionpää +2 more
wiley +1 more source
FEBS Letters, EarlyView.Exposure to common noxious agents (1), including allergens, pollutants, and micro‐nanoplastics, can cause epithelial barrier damage (2) in our body's protective linings. This may trigger an immune response to our microbiome (3). The epithelial barrier theory explains how this process can lead to chronic noncommunicable diseases (4) affecting organs ...
Can Zeyneloglu +17 more
wiley +1 more source
International Journal of Pharmacy Practice, 2018 African Institute for mathematical Science ...
openaire +5 more sources
Journal of King Saud University: Computer and Information SciencesFine-grained image recognition (FGIR) aims to distinguish between visual objects and their subcategories with subtle differences. Due to the highly similar features between categories in fine-grained image recognition tasks, the model requires more ...
Chenglong Zhou +5 more
doaj +1 more source
FEBS Letters, EarlyView.Three‐dimensional (3D) biological systems have become key tools in lymphoma research, offering reliable in vitro and ex vivo platforms to explore pathogenesis and support precision medicine. This review highlights current 3D non‐Hodgkin lymphoma models, detailing their features, advantages, and limitations, and provides a broad perspective on future ...
Carla Faria +3 more
wiley +1 more source
A SIR Model with Incomplete Data for the Analysis of Influenza A Spread in Ningbo
Discrete Dynamics in Nature and SocietyIn this article, the SIR model is used to fit the spread of influenza A in Ningbo, ranging from January 1, 2023 to June 30, 2023. The data that can be collected is the daily newly confirmed cases, but the daily number of infected individuals and ...
Bingqing Wang +5 more
doaj +1 more source
, 2021 Big Data ethics informs about how data can be used ethically and gives principles and values to decide how to use it. The values and norms proposed within this area of research aim to influence laws and guide the use of data. The field of Big Data ethics is expanding with new digital technologies and applications, such as the creation of smart cities ...
Ryan, Mark, Fernandez inguanzo, Ana
openaire +4 more sources
From omics to AI—mapping the pathogenic pathways in type 2 diabetes
FEBS Letters, EarlyView.Integrating multi‐omics data with AI‐based modelling (unsupervised and supervised machine learning) identify optimal patient clusters, informing AI‐driven accurate risk stratification. Digital twins simulate individual trajectories in real time, guiding precision medicine by matching patients to targeted therapies.
Siobhán O'Sullivan +2 more
wiley +1 more source
Research on Factors Affecting Global Grain Legume Yield Based on Explainable Artificial Intelligence
AgricultureGrain legumes play a significant global role and are integral to agriculture and food production worldwide. Therefore, comprehending and analyzing the factors that influence grain legume yield are of paramount importance for guiding agricultural ...
Yadong Li +6 more
doaj +1 more source