Unusual echocardiographic finding leading to diagnosis of pulmonary sequestration

Pulmonary sequestration is an embryonic mass of non- functioning lung tissue that does not communicate with the tracheobronchial tree and has a reported incidence of 0.15%-6.4% of all the pulmonary malformations. This anomaly is classified as either intralobar or extralobar with the later variety lying outside the normal investment of visceral pleura. The arterial supply is predominantly by an anomalous artery usually arising from either abdominal or thoracic aorta, while the venous drainage occurs commonly via systemic rather than pulmonary veins. Identification of the anomalous arterial supply has therapeutic implication because the majority of infants clinically present large shunt lesions attributed to these channels in early infancy. The diagnosis in such cases is usually established by computed tomography (CT), angiography, magnetic resonance angiography and conventional angiography. This article reports a 28 day old neonate who presented with features of large shunt lesion, in which echocardiography was instrumental in the diagnosis of a large collateral supplying the sequestrated lung.peer-reviewe

Nn-X - a hardware accelerator for convolutional neural networks

Convolutional neural networks (ConvNets) are hierarchical models of the mammalian visual cortex. These models have been increasingly used in computer vision to perform object recognition and full scene understanding. ConvNets consist of multiple layers that contain groups of artificial neurons, which are mathematical approximations of biological neurons. A ConvNet can consist of millions of neurons and require billions of computations to produce one output. ^ Currently, giant server farms are used to process information in real time. These supercomputers require a large amount of power and a constant link to the end-user. Low powered embedded systems are not able to run convolutional neural networks in real time. Thus, using these systems on mobile platforms or on platforms where a connection to an off-site server is not guaranteed, is unfeasible. ^ In this work we present nn-X — a scalable hardware architecture capable of processing ConvNets in real time. We evaluate the performance and power consumption of the aforementioned architecture and compare it with systems typically used to process convolutional neural networks. Our system is prototyped on the Xilinx Zynq XC7Z045 device. On this device, we are able to achieve a peak performance of 227 GOPs/s, a measured performance of up to 200 GOPs/s while consuming less than 3 W of power. This translates to a performance per power improvement of up to 10 times that of conventional embedded systems and up to 25 times that of performance systems like desktops and GPUs

An Empirical Study of Service Differentiation for Weapon System Service Parts

The question of how to effectively manage items with heterogeneous attributes and differing service requirements has become increasingly important to supply chains that support the delivery of after-sales service. However, there has been little investigation to date on how organizations actually manage inventory levels under such circumstances. This study provides such an investigation, focusing on the logistic system used to manage consumable service parts for weapon systems in the U.S. military. Our findings, based on interviews and rigorous analysis of part attribute and performance data, suggest that in practice a part\u27s service level is negatively affected by an item\u27s cost and is less affected by attributes such as its priority code. We introduce a simple inventory model to explain our empirical findings and explore how variations in item attributes can interact with an inventory policy to affect system performance. Based on this model, we recommend using explicit service-level targets for priority categories to achieve performance consistent with part priority. We show, using military data, that a service differentiation strategy can be an effective way of allocating inventory investment by providing higher service for critical parts at the expense of accepting lower service levels for parts with less importance

The SimplePipe Toolset Manual

SimplePipe is a simulation framework/tool for analyzing performance effects of alternative task allocations in network processors having multiple pipelines where pipeline stages are either processors or dedicated hardware functions. Tasks are defined in terms of sequence of separate C program executions with each sequence representing the functional requirements of a flow, where a flow is defined as the set of packets having the same processing requirements. The assignment of tasks to pipeline stages, selection of number of stages, and determination of processor cache sizes are important designing decisions impacting performance

Epididymal Cyst - A Case Study

Cysts of the epididymis are usually congenital and derived from an embryonic remnant. These cysts are due to cystic degeneration of remnants of the paramesonephric or Mullerian duct and Remnants of the mesonephric duct or Wolffian duct system. Here we report a case of bilateral Epididymal cysts in a middle aged man with a complaint of scrotal lump and infertility since 15 years. He was treated with excision of the cysts under local anaesthesia and had a marked improvement in scrotal discomfort and urgency of micturition after the treatment

Numerical calculation of particle collection efficiency in an electrostatic precipitator

The present numerical study involves the finding of the collection efficiency of an electrostatic precipitator (ESP) using a finite volume (ANUPRAVAHA) solver for the Navier–Stokes and continuity equations, along with the Poisson’s equation for electric potential and current continuity. The particle movement is simulated using a Lagrangian approach to predict the trajectory of single particles in a fluid as the result of various forces acting on the particle. The ESP model consists of three wires and three collecting plates of combined length of L placed one after another. The calculations are carried out for a wire-to-plate spacing H= 0.175 m, length of ESP L= 2.210 m and wire-to-wire spacing of 0.725 m with radius of wire R wire= 10 mm and inlet air-particle velocity of 1.2 m/s. Different electrical potentials (φ= 15–30 kV) are applied to the three discharge electrodes wires. It is seen that the particle collection efficiency of the ESP increases with increasing particle diameter, electrical potential and plate length for a given inlet velocity