Results 111 to 120 of about 9,106,328 (402)
The Role of Erupting Sigmoid in Triggering a Flare with Parallel and Large-Scale Quasi-Circular Ribbons [PDF]
In this paper, we present observations and analysis of an interesting sigmoid formation, eruption and the associated flare that occurred on 2014 April 18 using multi-wavelength data sets. We discuss the possible role of the sigmoid eruption in triggering the flare, which consists of two different set of ribbons: parallel ribbons as well as a large ...
arxiv +1 more source
Artificial neural networks modeling gene-environment interaction
Background Gene-environment interactions play an important role in the etiological pathway of complex diseases. An appropriate statistical method for handling a wide variety of complex situations involving interactions between variables is still lacking,
Günther Frauke+2 more
doaj +1 more source
Successful surgical management of mesenteric inflammatory veno-occlusive disease
Background The term “mesenteric inflammatory veno-occlusive disease (MIVOD)” is used to describe an ischemic injury resulting from phlebitis or venulitis that affects the bowel or mesentery in the absence of arteritis.
Keiji Matsuda+15 more
doaj +1 more source
The sigmoid colon was the most common perforation site among patients with colonic diverticular perforation. The patients' conditions, length of hospital stay, and hospitalization cost were significantly worse in left‐sided colon diverticular perforation than in right‐sided colon diverticular perforation. The clinical characteristics differed according
Minoru Fujita+29 more
wiley +1 more source
Exploring Uncertainty Measures in Deep Networks for Multiple Sclerosis Lesion Detection and Segmentation [PDF]
Deep learning (DL) networks have recently been shown to outperform other segmentation methods on various public, medical-image challenge datasets [3,11,16], especially for large pathologies. However, in the context of diseases such as Multiple Sclerosis (MS), monitoring all the focal lesions visible on MRI sequences, even very small ones, is essential ...
arxiv
Dense Neural Network Based Arrhythmia Classification on Low-cost and Low-compute Micro-controller [PDF]
The electrocardiogram (ECG) monitoring device is an expensive albeit essential device for the treatment and diagnosis of cardiovascular diseases (CVD). The cost of this device typically ranges from $2000 to $10000. Several studies have implemented ECG monitoring systems in micro-controller units (MCU) to reduce industrial development costs by up to 20 ...
arxiv +1 more source
Prediction of Cardiovascular Diseases Using an Optimized Artificial Neural Network
Introduction: It is of utmost importance to predict cardiovascular diseases correctly. Therefore, it is necessary to utilize those models with a minimum error rate and maximum reliability.
Jalal Rezaeenoor+2 more
doaj
Cationic peptides aggregate citrate‐capped gold nanoparticles (AuNPs), producing a colorimetric change. The figure highlights the interplay between the intermolecular attractive and repulsive forces governing the colloidal stability of the nanoparticles.
Benjamin Lam+5 more
wiley +1 more source
Background Malakoplakia is a chronic inflammatory disease characterized by tissue infiltrates of large granular macrophages containing distinctive intracytoplasmic inclusions termed Michaelis-Gutmann (MG) bodies.
Andrew Mitchell, Alexandre Dugas
doaj +1 more source
Reprograming of gut microbiome energy metabolism by the FUT2 Crohn's disease risk polymorphism. [PDF]
Fucosyltransferase 2 (FUT2) is an enzyme that is responsible for the synthesis of the H antigen in body fluids and on the intestinal mucosa. The H antigen is an oligosaccharide moiety that acts as both an attachment site and carbon source for intestinal ...
Borneman, James+14 more
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