Results 101 to 110 of about 69,010 (230)
The contact process with semi-infected state on the complete graph [PDF]
In this paper we are concerned with the contact process with semi-infected state on the complete graph $C_n$ with $n$ vertices. In our model, each vertex is in one of three states that `healthy', `semi-infected' or `wholly-infected'. Only wholly-infected vertices can infect others. A healthy vertex becomes semi-infected when being infected while a semi-
arxiv
A mathematical model for the within-host (re)infection dynamics of SARS-CoV-2 [PDF]
Interactions between SARS-CoV-2 and the immune system during infection are complex. However, understanding the within-host SARS-CoV-2 dynamics is of enormous importance, especially when it comes to assessing treatment options. Mathematical models have been developed to describe the within-host SARS-CoV-2 dynamics and to dissect the mechanisms ...
arxiv
Severe cardiogenic shock due to acute onset of an aorto-to-right atrial shunt in a patient with aortic valve endocarditis [PDF]
INTRODUCTIONHeart failure is the most common cause of death due to infective endocarditis. We report a case of a patient presenting with severe shock due to an infection-associated left-to-right cardiac shunt.PRESENTATION OF CASEA 62-year-old man, who ...
Friedmann, Anton+3 more
core +1 more source
This research presents a method based on nanopore targeted sequencing (NTS) with pathogen‐specific panels for testing infective endocarditis (IE) and myocarditis. The NTS achieved a detection limit of 20 copies/test for the IE target panel and 10 copies/test for the myocarditis target panel.
Aisi Fu+10 more
wiley +1 more source
Purpose: The present study aimed to comparatively evaluate the cases with health care-associated infective endocarditis and the cases with community-acquired infective endocarditis. Material and Methods: Of the cases followed for infective endocarditis (
Ebru Kursun+5 more
doaj
Classifying Latent Infection States in Complex Networks [PDF]
Algorithms for identifying the infection states of nodes in a network are crucial for understanding and containing infections. Often, however, only a relatively small set of nodes have a known infection state. Moreover, the length of time that each node has been infected is also unknown.
arxiv
Aiming at the management of MRSA biofilms, an all‐in‐one optical microfiber that integrated rapid quantitative analysis with synergistic antimicrobial therapy is developed. The prepared interfacial‐functionalized optical microfiber demonstrates the ability to detect MRSA concentrations in infection sites, enhance therapeutic efficacy, and assess ...
Pengwei Chen+7 more
wiley +1 more source
We investigate the utility of microbial cell‐free DNA (mcfDNA) from the blood to predict surgical culture results. In this study, only 26.9% of patients had mcfDNA results that were considered predictive of the causative organism(s). There was a significant burden of contamination in the cohort, emphasizing that dedicated protocols must be followed ...
Audrey Xu+7 more
wiley +1 more source
Schematic illustration of prepared poly(DEAEMA‐co‐EMA)/PIN composities and 3D AFM image. Abstract In the current study, in the first stage, amphiphilic poly(2‐diethylamino ethylmethacrylate‐co‐ethyl methacrylate) [Poly(DEAEMA‐co‐EMA)] was synthesized from the 2‐diethylamino ethylmethacrylate (DEAEMA) and the ethyl methacrylate (EMA) using the free ...
Safiye Elif Korcan+4 more
wiley +1 more source
Proteome Analysis of Corynebacterium diphtheriae–Macrophage Interaction
ABSTRACT Contact of Corynebacterium diphtheriae with macrophages induces adaptations on both bacterial and cellular sides. The study presented here was aiming to shed light on the simultaneous intracellular adaptation of the bacteria and changes in the proteome of the phagocytes in response to the internalization of C. diphtheriae.
Luca Musella+6 more
wiley +1 more source