Mathematical Modeling of DC Cardiac Ablation

This thesis presents a mathematical modeling of the cardiac DC ablation procedure. The model treats the procedure as a one dimensional heat transfer phenomenon taking place across the thickness of the myocardium. The model further considers a constant 37 oC for one of the boundary condition of the affected tissue, and the temperature of the other boundary condition is set to be a time dependent square-pulse variations. The parameters defining this time dependent boundary condition is used to perform parametric studies to predict tissue temperature at different depth of the myocardium. The initial condition of the myocardium prior to the ablation procedure is considered to be also constant and at 37 oC. MATLAB was used to solve the parabolic partial differential equation that describes the temperature variations within the myocardium. The duration of off-and-on square-pulse controlled temperature at the inner wall of the myocardium showed to be influential in the depth of intentional lesion within the myocardium. In case of a 1.5-seconds on-time for a 60 oC wall temperature, and a 0.5-second off-time, the time taken to have a lesion depth of 0.26 mm reaching 55 oC was about 6.32 second

Mathematical Modeling of DC Cardiac Ablation

This thesis presents a mathematical modeling of the cardiac DC ablation procedure. The model treats the procedure as a one dimensional heat transfer phenomenon taking place across the thickness of the myocardium. The model further considers a constant 37 oC for one of the boundary condition of the affected tissue, and the temperature of the other boundary condition is set to be a time dependent square-pulse variations. The parameters defining this time dependent boundary condition is used to perform parametric studies to predict tissue temperature at different depth of the myocardium. The initial condition of the myocardium prior to the ablation procedure is considered to be also constant and at 37 oC. MATLAB was used to solve the parabolic partial differential equation that describes the temperature variations within the myocardium. The duration of off-and-on square-pulse controlled temperature at the inner wall of the myocardium showed to be influential in the depth of intentional lesion within the myocardium. In case of a 1.5-seconds on-time for a 60 oC wall temperature, and a 0.5-second off-time, the time taken to have a lesion depth of 0.26 mm reaching 55 oC was about 6.32 second

Mathematical Modeling of DC Cardiac Ablation

This thesis presents a mathematical modeling of the cardiac DC ablation procedure. The model treats the procedure as a one dimensional heat transfer phenomenon taking place across the thickness of the myocardium. The model further considers a constant 37 oC for one of the boundary condition of the affected tissue, and the temperature of the other boundary condition is set to be a time dependent square-pulse variations. The parameters defining this time dependent boundary condition is used to perform parametric studies to predict tissue temperature at different depth of the myocardium. The initial condition of the myocardium prior to the ablation procedure is considered to be also constant and at 37 oC. MATLAB was used to solve the parabolic partial differential equation that describes the temperature variations within the myocardium. The duration of off-and-on square-pulse controlled temperature at the inner wall of the myocardium showed to be influential in the depth of intentional lesion within the myocardium. In case of a 1.5-seconds on-time for a 60 oC wall temperature, and a 0.5-second off-time, the time taken to have a lesion depth of 0.26 mm reaching 55 oC was about 6.32 second

Introducing Faceted Exception Handling for Dynamic Information Flow

JavaScript is most commonly used as a part of web browsers, especially client- side scripts interacting with the user. JavaScript is also the source of many security problems, which includes cross-site scripting attacks. The primary challenge is that code from untrusted sources run with full privileges on the client side, thus lead- ing to security breaches. This paper develops information flow controls with proper exception handling to prevent violations of data confidentiality and integrity. Faceted values are a mechanism to handle dynamic information flow security in a way that overcomes the limitations caused by dynamic execution, but previous work has not shown how to properly handle exceptions with faceted values. Sometimes there might be problems where high-security information can be inferred from a pro- gram\u27s control flow, or sometime the execution might crash while transferring this high-security information when there is an exception raised. Usage of faceted values is an experimental approach as an alternative to multi-process execution. This paper provides more detail on providing exception support to multi-faceted execution

Wireless Monitoring of Driver\u27s Pulse Rate and Temperature Using Hand Gloves Approach

There is growing concern about dangers correlated with driving, for people with known cardiovascular diseases. However, the association between having a chronic cardiovascular disease and being involved in a motor vehicle crash remains controversial. This study aims to monitor people with known medical emergencies or other medical conditions while driving [1]. It also helps the co-passengers to be cautious while the person is driving with an abnormal health condition. Designed it to be convenient and also can be easily adaptable by the end user. The proposed project focuses on a wearable sensor glove that equipped with a pulse rate sensor, Temperature sensor, conductive thread, and an embedded system consisting of amplifier unit, power supply, microcontroller, and Zigbee transmitter unit. . This project consists of three systems: Transmitter, Receiver, and Wireless healthcare monitoring unit. The transmitter section includes sensors, amplifier, processing unit and Zigbee for transmission. Here the pulse sensor uses a technique called Photoplethysmography (PPG) and temperature sensor used here is LM35. The pulse sensor mounted on the index finger of the gloves acquires the raw data from the human body and then sends to the microcontroller using conductive thread. The conductive thread sewed into the gloves feed the signal into the microcontroller. Data is analyzed by microcontroller and then sent to the receiver. The receiver end consists of a Microcontroller, interfaced with display, storage unit, alarm, GPS, and GSM. Data from transmitter side is acquired using ZigBee receiver and sent to the Microcontroller, which is programmed such a way that the pulse rate and temperature parameters stored and displayed in real-time. When pulse rate and temperature are below or above the threshold, an alarm system is implemented to alert the co-passengers

R17. Solid Crystal Suspensions of Carbamazepine using Hot-melt Extrusion: A Solubility Enhancement Approach

Corresponding author (Pharmaceutics and Drug delivery): Sagar Narala, [email protected]://egrove.olemiss.edu/pharm_annual_posters/1016/thumbnail.jp

Why my photos look sideways or upside down? Detecting Canonical Orientation of Images using Convolutional Neural Networks

Image orientation detection requires high-level scene understanding. Humans use object recognition and contextual scene information to correctly orient images. In literature, the problem of image orientation detection is mostly confronted by using low-level vision features, while some approaches incorporate few easily detectable semantic cues to gain minor improvements. The vast amount of semantic content in images makes orientation detection challenging, and therefore there is a large semantic gap between existing methods and human behavior. Also, existing methods in literature report highly discrepant detection rates, which is mainly due to large differences in datasets and limited variety of test images used for evaluation. In this work, for the first time, we leverage the power of deep learning and adapt pre-trained convolutional neural networks using largest training dataset to-date for the image orientation detection task. An extensive evaluation of our model on different public datasets shows that it remarkably generalizes to correctly orient a large set of unconstrained images; it also significantly outperforms the state-of-the-art and achieves accuracy very close to that of humans

Seasonal changes in lotic phytoplankton and their successional responses to experimental temperatures

An investigation was made of algae collected on glass slides from polluted waters of an urban creek in Greensboro, North Carolina. Observations were made on the successional properties of these planktonic algal communities in relation to changes in temperature under in vitro conditions. Experimental thermal conditions at 15, 20, 25, and 30 C were used. Constant photoperiods of 11 hours duration were maintained for the cultures at the temperature conditions. Highest colonization of algae took place in May and the least in January. Nitzschia, Navicula, and Stigeoclonium were the algae most frequently found. Diatoms colonized the slides in all the collections with a statistically significant increase in numbers in May. Green and bluegreen algae were predominant in the summer with the former showing a statistically significant increase in numbers in August. In the laboratory cultures, green algae successfully competed with blue-green algae at 15° and 20°C, but lost this competitive advantage to blue-green algae at 25° and 30°C. When green and red algae appeared in the microcosm at 20°C, the responses of the two were similar in that both of them co-existed within a heterogeneous community. Diatoms showed fluctuating trends at all four thermal conditions. Successional changes were very rapid in laboratory cultures, and climax communities were established in 3 to 4 weeks time. The responses of phytoplankton at different thermal conditions indicated the crucial role of temperature in determining the fate of organisms involved in the process of succession