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Thesis

Clinicopathological Profile of Gastrointestinal Stromal Tumors

Gastrointestinal stromal tumors (GISTs) are rare tumors of gastrointestinal tract arising from interstitial cells of Cajal. They present with varied clinical features most of which are non- specific. This study was done to identify the clinical features of GISTS and immunohistochemistry. It was a retrospective and prospective study. The total number of studied patients was 50. Out of 50 patients- 26 were females (52%). Mean Age of involvement was 59 years. Gastrointestinal bleeding and Pain abdomen were the most common symptoms. Stomach was involved in 64%, small gut in28% and colon in 4% of the patients. The average size of the tumor was 5.2cm. 96% were CD117 positive. GISTS are rare tumors arising in late middle age. They affect males and females equally. They present non- specific signs and symptoms. Most of them are CD117 positive.

Published by: Rayees A Khanday, Ajaz Malik, Munir Wani, Zubaida Rasool

Author: Rayees A Khanday

Paper ID: V4I4-1541

Paper Status: published

Published: August 29, 2018

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Research Paper

Pochhammer symbol of ultra gamma function and its applications to hypergeometric functions

The aim of this paper is to investigate an extension of generalized hypergeometric function rFs with r numerator and s denominator parameters with help of ultra gamma function. Some Recurrence relation of the Pochhammer symbol of Ultra Gamma Function is investigated. Certain particular cases of the derived results are considered and indicated to further reduce to some known results. Finally, we present a systematic study of the various fundamental properties of the class of hypergeometric functions introduced here.

Published by: Anita, K. S. Gehlot, Chena Ram

Author: Anita

Paper ID: V4I4-1553

Paper Status: published

Published: August 29, 2018

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Research Paper

Experimentally the performance and exhaust emission characteristics by adding additive as ethanol in methyl ester of rice bran oil in CI engine

One of the methods to reduce the use of fossil fuel is blending ethanol with fossil diesel. However, an emulsifier or a co-solvent is needed to homogenize the diesel-ethanol blends. This project is aimed to investigate experimentally the performance and exhaust emission characteristics by adding additive as ethanol in methyl ester of rice bran oil in CI engine. The experimental results showed that the highest brake thermal efficiency was observed with 5% ethanol in the diesel-biodiesel-ethanol blend was lower than that of diesel fuel. The hydrocarbons and smoke were lower than that of diesel fuel, the rice bran oil biodiesel can be used as an additive to mix higher percentage of ethanol in diesel-ethanol blends to improve the performance and reduce the emissions of a diesel engine.

Published by: Paramjeet Singh, Amit Kumar, Amit Kumar Tiwari

Author: Paramjeet Singh

Paper ID: V4I4-1544

Paper Status: published

Published: August 29, 2018

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Research Paper

Prediction of compressive strength of concrete using artificial neural network

The present-day structures are being made with the use of a number of different building materials with varying strength properties that govern their mechanical strength and correspondingly their durability and life. There are a number of techniques available to determine the compressive strength of these materials. However, use of an artificial neural network provides a non-destructive way to predict the compressive strength of the same. In the present study, the compressive strength of concretes prepared with two different cement types i.e. PPC and PSC with manufactured sand and natural sand as aggregate for four different water-cement (w/c) ratios have been undertaken using an artificial neural network (ANN). The predicted strength was compared with that obtained in the laboratory for the same.

Published by: Naman Veer

Author: Naman Veer

Paper ID: V4I4-1516

Paper Status: published

Published: August 28, 2018

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Dissertations

Use of software quality tools to analyse the problems of a large internet media company

AOL (formerly a corporation referred to as AOL., originally referred to as America online, and conventionalized as AOL.) is a web portal and online service provider primarily based in NY. AOL was one of all the first pioneers of the internet within the mid-1990s, and also the most recognized on the online within the US. On June 23, 2015, AOL was obtained by Verizon Communications for $4.4 billion. The following months, AOL additionally created a contend with Microsoft and purchased many technology properties. AOL’s products and Services square measure within AOL Mobile- permits you to require AOL websites and applications with you where you go and uses mobile-specific options to boost your expertise. Data Secure by AOL-Helps secure your devices from hackers, malware, viruses, spyware and many. SystemMechanic– mechanically fix over 30,000 computer issues with system Mechanic, that wipes the useless junk from your disk drive and accelerates your disk drive and speeds up your pc in minutes. AOL Desktop for windows – The all-in-one expertise with mail, browsing, search, content, and dial-up connectivity. AOL Computer check-up- that includes twenty-four powerful pc optimization tools, AOL computer check-up cleans, secures, and accelerates your slow computer in minutes. AOL Mail- it's a free email service that provides sensible usernames, lovely style, and unlimited client support, alongside the standard mailbox features.

Published by: M Suraj Kumar, Anushree Daptardar, Biswanath Satpathy

Author: M Suraj Kumar

Paper ID: V4I4-1495

Paper Status: published

Published: August 28, 2018

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Review Paper

Literature review of Myanmar Optical Character Recognition techniques

Optical Character Recognition (OCR) is an active research area in the field of pattern recognition due to its application. OCR system converts document images into machine encoded text so that it can be easily accessed and preserved. This system is applied in data processing such as bank cheques, postal address reading, examination question papers, text-to-speech, reading aid for blind, etc. Myanmar OCR system is essential to convert numerous published books, newspapers and journals of Myanmar into editable computer text files. It is a challenge for recognizing Myanmar characters. During the last decades a lot of research has been done in the field of Myanmar optical character recognition (OCR). Myanmar characters recognition is still an open problem for the research community. This paper presents the review of Myanmar OCR system such as pre-processing, feature extraction, classification, post-processing etc. This paper may act as a supportive material for those who wish to know about Myanmar OCR.

Published by: Zu Zu Aung, Cho Me Me Maung, Yadana Htun

Author: Zu Zu Aung

Paper ID: V4I4-1397

Paper Status: published

Published: August 27, 2018

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