The potential for cellular cardiomyoplasty to provide functional left ventricular recovery in the chronically injured heart remains unclear.
Yorkshire swine (n = 10; 35-50 kg) had anterolateral ...myocardial infarction (MI) induced by coil embolization of the left anterior descending artery. Approximately 5 weeks post-MI, a composite, intravascular ultrasound-guided catheter system (TransAccess) was used to deliver an autologous, labeled, bone marrow-derived cell sub-population (approximately 3 x 10(8) cells) or saline control (approximately 50 injections/arm) through coronary veins directly into infarct and peri-infarct myocardium. Two months post-transplant, the animals had blinded endocardial and epicardial left ventricular electrical scar mapping and biventricular electrical stimulation. Coronary angiography and quantitative biplane ventriculography were performed at baseline, transplant, and sacrifice time-points.
Robust, viable, predominantly desmin-negative cell grafts were demonstrated post-mortem in all treatment animals. Baseline and pre-transplant global and regional wall motion was similar between groups. The cell treatment group demonstrated functional recovery with a left ventricular ejection fraction of 38.1% at the time of transplant increasing to 48.5% (p = 0.005) at sacrifice, whereas the control arm was unchanged (38.0% vs 34.3%, respectively; p = NS). The regional improvement corresponded with a reduction in percentage of hypokinetic (52.1%-42.9%, p = 0.002) and percentage of akinetic (24.8%-17.7%, p = 0.04) segments in the cell-treated animals. Epicardial scar area was not different (37 cm2 vs 23 cm2, p = 0.37) between groups.
Percutaneous, transvascular, direct intramyocardial bone marrow cell transplantation is safe and feasible in chronically infarcted tissue. In this pilot study, cell therapy improved overall left ventricular systolic function by recruiting previously hypokinetic or akinetic myocardial tissue.
Etoposide-loaded biodegradable microspheres of poly lactic-co-glycolide (PLGA) 50:50, PLGA 75:25, and polycaprolactone (PCL) were prepared by simple o w emulsification solvent evaparation method and ...characterized by size analysis and microscopy. The influence of drug to polymer ratio on the entrapment of etoposide was studied. Of all the three types of microspheres, polycaprolactone microspheres (PCL MS) showed the highest entrapment efficiency (94.64%), followed by PLGA 75:25 microspheres (PLGA 75:25 MS) (88.64%) and PLGA 50:50 microspheres (PLGA 50:50 MS) (79.19%). The drug to polymer ratio of 1:20 gave the highest entrapment efficiency for all the three types of microspheres. The in vitro release of etoposide from the three microsphere formulations were studied in phosphate buffer pH 7.4 (pH 7.4 PB) containing 0.1% Tween 80. The microspheres showed an initial burst release, which was highest from the PLGA 50:50 MS and least from the PCL MS. PCL MS microspheres showed the lower and slow drug release than the remaining formulations. The release of etoposide from all the three microsphere formulations followed Higuchi's diffusion pattern. The microspheres in the dissolution medium for 28 days appeared irregular in shape and slightly fragmented.
NANOTECHNOLOGY IN DENTISTRY-A REVIEW Vasanthakumari, A; Reddy, Vivek; Vivek, K ...
International journal of advanced research (Indore),
6/2017, Letnik:
5, Številka:
6
Journal Article
Lateral-torsional buckling behavior of various types of steel trusses without and with intermediate lateral rigid supports is investigated by performing finite element analysis. Commonly used ...parallel chord trusses, such as Pratt, Howe, Warren (with verticals), K and Diamond trusses of span 8 m and rise 0.8 m are considered. Two different types of intermediate lateral rigid support systems are considered. Elastic critical buckling joint loads of the trusses are found by modeling and performing finite element analysis using ANSYS - commercial software. From the obtained results it can be understood that critical buckling load, the magnitude and shape out of plane deflection depends upon whether the intermediate lateral support is provided or not and if provided, the type of lateral supports and spacing between them. The pattern and inclination of the web lacing also affect the stability of the truss. It is found that the Diamond and K trusses resulted in better stability and hence suggested for use in place of large spans and heavy loading.
Book Detection Using Deep Learning Prashanth, P.; Vivek, K. Sai; Ruthvik Reddy, D. ...
2019 3rd International Conference on Computing Methodologies and Communication (ICCMC),
2019-March
Conference Proceeding
This paper deals with library automation and book detection using deep learning which comes under field of computer vision 1. In order to automate a large Library where finding a book is a tough ...task, this paper shows a solution for it. Here we detect the required book with the help of deep learning concept through MATLAB Neural network toolbox which can pick the particular book with the help of a mobile manipulator. Convolutional neural network used is Alex Net which can detect around 1000 classes.Deep learning is a part of machine learning in which a network learns how to classify objects from texts, Images, and sound. The first part in the name Deep Learning i.e. "deep" means number of layers in the network-A network is said to be deeper when it has many layers. Generally neural networks contain 2 or 3 layers, while deeper networks contain hundreds of layers.The device used is a rover with capability of holding a book with its fingers. It also consists of a camera which scans through the books whose output is then analysed by a neural network.
Background and Purpose: Occurrence of stroke has been reported among patients with COVID-19. The present study compares clinical features and outcomes of stroke patients with and without COVID-19. ...Methods: The COVID-19 Stroke Study Group (CSSG) is a multicentric study in 18 sites across India to observe and compare the clinical characteristics of patients with stroke admitted during the current pandemic period and a similar epoch in 2019. The present study reports patients of stroke with and without COVID-19 (CoVS and non-CoVS, respectively) seen between February 2020 and July 2020. Demographic, clinical, treatment, and outcome details of patients were collected. Results: The mean age and gender were comparable between the two groups. CoVS patients had higher stroke severity and extent of cerebral involvement on imaging. In-hospital complications and death were higher among CoVS patients (53.06% vs. 17.51%; P < 0.001) and (42.31% vs. 7.6%; P < 0.001), respectively. At 3 months, higher mortality was observed among CoVS patients (67.65% vs. 13.43%; P < 0.001) and good outcome (modified Rankin score mRS: 0-2) was seen more often in non-CoVS patients (68.86% vs. 33.33%; P < 0.001). The presence of COVID-19 and baseline stroke severity were independent predictors of mortality. Conclusions: CoVS is associated with higher severity, poor outcome, and increased mortality. Severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2) infection and baseline stroke severity are independent predictors of mortality.
Steel gusset plates / gussets are extensively used in metal buildings and play a crucial role in transfer of forces but yet are most neglected in analysis and design. The inelastic behaviour of mild ...steel gussets is studied assuming that a diagonal member / brace subjected to a tensile force is connected to the gusset. Non-linear finite element analysis of gussets is performed with the help of a finite element software ANSYS by developing a simple model. Four noded plane stress element is used for meshing. The effects of engineering and true stress-strain curves, yield plateau, type of hardening, angle of inclination of the brace and bolt / bolt hole diameter on the in-elastic stress and strain distribution of steel gussets are discussed.
Immediately after resuscitation from cardiac arrest owing to STEMI, many patients show signs of neurologic impairment, and benefits of percutaneous coronary intervention and subsequent prognosis are ...not well defined. Methods Between January 1, 2002, and December 31, 2006, we retrospectively identified consecutive patients resuscitated from cardiac arrest, regardless of time to return of spontaneous circulation (ROSC) and neurologic status, and reviewed the outcomes of those who had STEMI. Mortality and neurologic recovery at discharge and long-term mortality were assessed by individual chart review for those who underwent emergent angiography. Results Our study population consisted of 98 patients; 64% survived to discharge, and 92% had a full neurologic recovery. Predictors of survival were shorter time to ROSC, younger age, neurologic status post-resuscitation (alert or minimally responsive), and male sex. Predictors of neurologic recovery included shorter time to ROSC, neurologic status post-resuscitation (alert or minimally responsive), and younger age. Ninety-six percent of patients who were alert post-resuscitation survived. Ninety-three percent of patients who were minimally responsive post-resuscitation survived. Fifty-nine patients were unresponsive post-resuscitation, with 44% survival, of whom 88% had full neurologic recovery. In the unresponsive group, unwitnessed arrest, prolonged ROSC, and older age were associated with increased risk of death, and older age and prolonged ROSC predicted poor neurologic recovery. Conclusions When resuscitated patients with STEMI are being evaluated in the emergency department, serious consideration should be given to emergent angiography and revascularization, regardless of neurologic status.
A deep learning approach will be used to recover ancient pictures that have suffered significant damage. Unlike typical reconstruction processes that are easily handled by supervised learning ...methods, real-world picture degradation seems to be complex, and the system is unable to generalize due to domain differences between synthetic pictures and actual old pictures. Therefore, using huge amounts of synthetic image pairs combined with real photos, Therefore, using huge amounts of synthetic picture pairs combined with real photos, A unique triplet domain translation network. Two variational autoencoders (VAEs) have been trained to create latent spaces from both fresh and old images, respectively. The translation between two regions is thenmanaged to learn using artificially paired data. This translation normalizes well to actual photographs as the domain gap is filled in the compact latent space. The translation between these two various latent regions has been taught using artificially paired data. This translation normalizes well to images found in the real world because the compact latent space is filled with the domain gap. A global division with an incomplete nonlocal block will target structural issues like cuts and bruises and a local division attacking unstructured defects like unwanted noise and poor contrast to handle the various degradations mixed throughout an old photograph. The latent space fusion of two branches increases the ability to correct numerous flaws in old images. Convolutional neural networks (CNNs) outperform multiple-layer sequenced neural network models at identifying distinct marks, forms, and patterns in images, making them the most efficient method for processing data. The filters are applied by CNN to every pixel in the image. When it comes to visual quality, the suggested method for repairing old photographs performs better than cutting-edge techniques.
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