Results 21 to 30 of about 82,948 (266)
Mathematical model of sarcoidosis [PDF]
Significance Sarcoidosis is a disease involving abnormal collection of granulomas that develop in the lung and other organs. The origin of the disease is unknown, clinical data are very limited, and there is no current effective treatment.
Wenrui, Hao +2 more
openaire +2 more sources
Quarantine and testing strategies in contact tracing for SARS-CoV-2: a modelling study
Summary: Background: In most countries, contacts of confirmed COVID-19 cases are asked to quarantine for 14 days after exposure to limit asymptomatic onward transmission.
Billy J Quilty, MSc +49 more
doaj +1 more source
SARS-CoV-2 infection risk during delivery of childhood vaccination campaigns: a modelling study
Background The COVID-19 pandemic has disrupted the delivery of immunisation services globally. Many countries have postponed vaccination campaigns out of concern about infection risks to the staff delivering vaccination, the children being vaccinated ...
Simon R. Procter +7 more
doaj +1 more source
Disentangling the Information in Species Interaction Networks
Shannon’s entropy measure is a popular means for quantifying ecological diversity. We explore how one can use information-theoretic measures (that are often called indices in ecology) on joint ensembles to study the diversity of species interaction ...
Michiel Stock +2 more
doaj +1 more source
We recently published an article in BMC Medicine looking at the potential health and economic impact of paediatric vaccination using next-generation influenza vaccines in Kenya: a modelling study.
Naomi R. Waterlow +3 more
doaj +1 more source
Forecasting SARS-CoV-2 epidemic dynamic in Poland with the pDyn agent-based model
We employ pDyn (derived from “pandemics dynamics”), an agent-based epidemiological model, to forecast the fourth wave of the SARS-CoV-2 epidemic, primarily driven by the Delta variant, in Polish society.
Karol Niedzielewski +18 more
doaj +1 more source
The present study proposes a high‐resolution, multi‐component framework to estimate human exposure to air pollution in tropical urban environments, addressing complex topography and limited historical mobility and exposure data. This framework is applied
Valeria Solórzano‐Araque +8 more
doaj +1 more source
Detecting Underwater Concrete Cracks with Machine Learning: A Clear Vision of a Murky Problem
This paper presents the development of an underwater crack detection system for structural integrity assessment of submerged structures, such as offshore oil and gas installations, underwater pipelines, underwater foundations for bridges, dams, etc.
Ugnė Orinaitė +3 more
doaj +1 more source
In this study, we found that human cervical‐derived adipocytes maintain intracellular iron level by regulating the expression of iron transport‐related proteins during adrenergic stimulation. Melanotransferrin is predicted to interact with transferrin receptor 1 based on in silico analysis.
Rahaf Alrifai +9 more
wiley +1 more source
Biomolecular condensates formed by fused in sarcoma (FUS) are dissolved by high ATP concentrations yet persist in cells. Using a reconstituted system, we demonstrate that valosin‐containing protein (VCP), an AAA+ ATPase, counteracts ATP‐driven dissolution of FUS condensates through its D2 ATPase activity.
Hitomi Kimura +2 more
wiley +1 more source

