Antimicrobial susceptibility patterns of uropathogenic Escherichia coli and Urinary tract infection in pregnancy and their prevalence in female around Dhanbad, Jharkhand
Urinary tract infections are common during pregnancy and the most common causative organisms is Escherichia coli. Pregnant women are at increased risk for UTIs. Beginning in week 6 and peaking during weeks 22to 24, approximately 90 percent of pregnant women developed ureteral dilation ,which will remain until delivery increase bladder volume and decrease bladder tone ,contribute to increased urinary stasis and ureterovesical reflux, the physiologic increase in plasma volume during pregnancy decrease urine concentration. Up to 70 percent of pregnant women develop glycosuria, which encourages bacterial growth in the urine. Increase in urine progestins and estrogens may lead to a decreased ability of the lower urinary tract to resist invading bacteria allowing some strains of bacteria to selectively grow. These factors may all contribute to the development of Escherichia coli during pregnancy. The purpose of this study was to evaluate the prevalence and their antibiogram profile of uropathogenic Escherichia coli (UPEC) in and around Dhanbad. Materials and methods: A total of 641 urine samples were collected from the suspected patients of UTI. The samples were cultured on MacConkey agar for isolation and identification. Antibiotic susceptibility test was done by disc diffusion method. Female pregnant patients of different age groups were included for this study. Result: 29.48% urinary isolates were identified as Escherichia coli. 51.32% UPEC isolates were sensitive to Nitrofurantoin and Piperacillin/Tazobactum. 25.38% isolates were susceptible to Levofloxacin and Amikacin followed by Cefotaxime (12.16%). Conclusion: Prevalence of Escherichia coli among urinary isolates was high in our study. Antibiogram profile of these isolates varies to different antibiotics in terms of their susceptibility pattern. Continuous surveillance of Antibiogram profile of UPEC isolate is mandatory because it vary significantly.
Published by: Dr. Sujeet Kumar Tiwary, Dr. Rajendra Kr, Dr. S. Sharan, Dr. B. K Singh, Dr. S. K Sinha, Dr. N. K Jaiswal, Dr. R. K, Dr. K. Kumari
Author: Dr. Sujeet Kumar Tiwary
Paper ID: V3I3-1363
Paper Status: published
Published: June 1, 2017
Fabrication and Analysis of Freon Wheel
Energy consumption has increased a lot during the past two decades. It has increased the cost of energy a lot, and it has constantly led to the inventions of alternative ways of harnessing energy. Freon Wheels are one such ways of harnessing low grade energy with Minimum pollution. It could be used in areas where there is waste heat or in tropical regions where solar energy is wasted. This method is also eco friendly and at the same time may even reduce the cost of producing crude oil. In this context a new device (Freon wheels) that is a gravity engine driven by thermal gradient for converting Waste/solar heat into useful work is proposed and its efficiency is studied. The fabrication of Freon wheel is done by using four cylinders as per the design. The cylinders are welded together with 900 each other to the shaft, the bearing are mounted on the both ends of the shaft. The experiment is conducted on the equipment by providing some means of heat source and the speed is obtained by the Freon wheel is 10rpm.
Published by: Dalli Murali Krishana, V. Jagadesh Babu, B. Anjaneyulu Naik, D. Asha Sindu
Author: Dalli Murali Krishana
Paper ID: V3I3-1395
Paper Status: published
Published: June 1, 2017
Calibration of Bone Mineral Density Using Artificial Neural Network
Osteoporosis is one of major disease that may lead to bone fracture. when the Bone Mineral Density lows, resulting in osteoporosis. DEXA is the basic tool to analyze the Bone Mineral Density Value,which is high in cost and not available in all hospitals. So, here we consider Electromyography(EMG) signal in order to predict the BMD value. Feed Forward Network classifier is used to train and test the data.
Published by: Aruna .M
Author: Aruna .M
Paper ID: V3I3-1400
Paper Status: published
Published: June 1, 2017
Software Agent Modelling Of Web Application
Businesses are becoming automated nowadays, with almost every business getting an online representation in the form of Web Application. The different kinds of businesses require dynamic nature of Web Applications which require less dependency on a human controlled software interface. With the applications catering to the needs of hundreds to thousands of users simultaneously, it’s hard to manage such kind of applications using a combination of human interface. This particular need has led to the study and research in the field of software agents or intelligent agents, which use some kind of intelligence to aid the various operations of the application in use. Several studies and research has been made in this area which has resulted into development of some high quality software applications over the web, which boast to have complete functionality driven by these intelligent agents and require minimum to no human interference. In this research work, software modelling of Web applications using intelligent agents has been envisaged. The various fundamentals of agent research has been discussed in detail with special heed to implementation framework. Finally, an agent based model has been developed using the latest tools and techniques. This research work provides comprehensive analysis and implementation of an agent based software application.
Published by: Arti Verma, Yogendra Singh
Author: Arti Verma
Paper ID: V3I3-1440
Paper Status: published
Published: May 31, 2017
Smart Vehicle
Automobile is probably the one which has significantly changed human life. In the last two decades it spread drastically in every level of society hence, safety becomes the main concern. Road Accidents account a severe threat to the lives in both ways physically as well as financially. even after digital control of the vehicle. Many people lost their life every year in vehicle collision .We have developed a device which will automatically activate the safety switches on stipulated time before unusual situation. The aim of this project is to build a cost effective Adaptive Front Lighting System with automatic turn indicator, with fog sensors and solar powered batteries for more efficient and reliable power source, that will help achieve enhance safety, comfort and reliability. The new design and build can fit into an existing fixed headlamp with a very close eye on cost and reliability. Use of existing headlamps will also allow the AFLS addition to maintain the vehicle’s conformity to existing vehicle aesthetics as well as government regulation.
Published by: Avinash Gupta, Ashish Yadav, Yash Vardhan Gaur
Author: Avinash Gupta
Paper ID: V3I3-1419
Paper Status: published
Published: May 31, 2017
Improved Learning for Special Ones Using Image Mapping
Hearing Impaired students have always have had issues when it comes to quality education. Same education is not provided to normal students and hearing impaired students. Due to this, they do not have equal opportunities as compared to normal students and they are always having an inferiority complex. This is because there is a vast gap between hearing impaired students and normal students. We designed a system that enables the same education curriculum to be used for both normal and special students. With some elementary techniques such as text mining and image mapping, we designed a system that will translate text entered in that system to images so that a visual representation can be obtained for better understanding.
Published by: Poorva Awale, Gaurav Bhosale, Vishakha Panchal, Prof.Suhas M. Patil, Shubham Kumbhar, Atish Kulkarni
Author: Poorva Awale
Paper ID: V3I3-1256
Paper Status: published
Published: May 31, 2017
