THE SEPARATION OF CARBON DIOXIDE – METHANE – PROPANE BY USING HOLLOW FIBER MEMBRANE: EFFECT OF FEED PRESSURE AND CO2 COMPOSITION

Carbon dioxide, CO2 is known with its corrosive properties when dissolved in water. Therefore, CO2 is needed to be removed from the natural gas to avoid it from damaging the pipelines and equipment due to its corrosive properties. There are a lot of method to separate CO2 from natural gas however membrane technology can be considered one of the methods which offers the largest potential in terms of economic feasibility especially in offshore. However there is lack of studies on the effects of multi component feed on the carbon dioxide separation using a membrane. Hence, the main objective of this project is to evaluate the permeance and relative permeance of commercial hollow fiber membrane under different feed pressure and feed CO2 composition using CO2-CH4-C3H8 as feed. A hollow fiber membrane module is prepared to conduct the lab experiments. Using the prepared module, experiments on the effect of feed pressure and CO2 composition in feed was conducted. The results obtained was analyzed to study the effect. From the analysis, it is learned that the permeance and relative permeance of CO2 increase with pressure in the range of 10 to 18 bar. The permeance and relative permeance of CO2 also increases when CO2 composition is increased from 16 Vol. % CO2 to 67 Vol. % CO2

An Enhanced Expectation Maximization Text Document Clustering Algorithm for E-Content Analysis

Nowadays, there are many types of digital materials that can be used in the classroom. Students and scholars are migrating from textbooks to digital study materials because textbooks are too large and expensive. Teachers and college students can use and modify the materials that are freely available or with some constraints for their learning and teaching. E-content can be designed, evolved, utilized, re-used, and distributed electronically from anywhere at anytime. Because of the flexibility of time, place, and speed of learning, e-content is becoming extremely popular. It can be readily and instantly shared and communicated with an infinite number of clients all across the globe. Document clustering is most commonly used to group documents that are related to a specific topic. Text document clustering can be used to group a collection of documents regarding the information they include and to deliver search results when a user searches the internet. In this paper mainly focuses on text document clustering to cope with massive collection of E-Content documents. Enhanced Expectation Maximization Text Document Clustering (EEMTDC) clustering algorithm was proposed and compared with Expectation Maximization (EM) clustering, K-Means clustering, and Hierarchical clustering (HC) algorithms. The experiment shows that the performance of proposed EEMTDC algorithm produces greater clustering accuracy than existing clustering algorithms

Explore repercussion of role models on entrepreneurial intention

A decision to start a business is persuaded not only by individual characteristics but also through socialization. Inspiration an individual had via family, school, peers, mass media, public opinion, volunteer groups and spirituality play an imperative role in their career decision. However there is dearth of studies on influence of role models in mounting entrepreneurial inclination especially among students in South-Asian perspective. An attempt has been made to present a detailed empirical reconnaissance on effect of role models in creating entrepreneurial intentions among postgraduate students in India. The study employs the Ajzen’s theory of planned behaviour, in which intentions are regarded as upshots of attitudes, subjective norms and perceived behavioural control. Data were compiled via questionnaire survey from 188 post-graduate students from science and non-science degree from a recognized university in Tamilnadu, India. Structural Equation Modelling (SEM) was worked-out to scrutinize the influence of role models on science and non-science postgraduate students’ entrepreneurial intention and the antecedents of entrepreneurial intention. The outcome of the survey divulged that there is a significant relationship between the role models and level attitude, perceived behavioural control and subjective norms towards entrepreneurial activity

The Role of Metacognitive Strategies in Second Language Writing

Abstract - Metacognition is defined as one’s own awareness ofthe thought process; specifically it concerns the ability toregulate the cognitive processes of the learners in their learning.In the context of writing, it refers to ‘thinking about one’s ownwriting’ or ‘awareness of one’s own writing processes. Thisexperimental study investigates the role of metacognitive strategiesin promoting effective English writing. The data was collectedfrom 27 Indian ESL learners using strategy questionnaire,writing tasks and classroom observation. It is found that successfulemployment of Metacognitive strategies facilitates to meet thechallenges in writing in producing comprehensive content. Theresults of the differential and correlation analysis reveal thatthe employment of effective metacognitive strategies hassignificantly correlated with the development of writing skills

Training Teachers for Teaching English in Higher Institutes of Engineering and Technology: Challenges and Perspectives

Abstract - Higher Education in India and abroad hasundergone radical and seamless changes. The advent ofinformation technology has redefined the attitude to Englishlanguage learning and teaching. In order to meet thechallenges and demands of the profession, teachers of English inEngineering colleges need to upgrade their professional andsubject competence. This paper aims to explore the need forteachers of English in Higher Institutes of Engineering andTechnology, to equip themselves to face their professionalchallenges. This necessitates teachers of English to undergospecific training programmes designed based on their targetneeds that would in turn enable them to become betterteachers. A preliminary data was collected from135 teachers ofEnglish from various Engineering colleges in Tamilnadu,India. The findings reveal that more than 75 percent of theteachers expressed their views that there is an existing needfor in-service training and development for teachers to teachEnglish in Engineering colleges in Tamilnadu

THE SEPARATION OF CARBON DIOXIDE – METHANE – PROPANE BY USING HOLLOW FIBER MEMBRANE: EFFECT OF FEED PRESSURE AND CO2 COMPOSITION

Carbon dioxide, CO2 is known with its corrosive properties when dissolved in water. Therefore, CO2 is needed to be removed from the natural gas to avoid it from damaging the pipelines and equipment due to its corrosive properties. There are a lot of method to separate CO2 from natural gas however membrane technology can be considered one of the methods which offers the largest potential in terms of economic feasibility especially in offshore. However there is lack of studies on the effects of multi component feed on the carbon dioxide separation using a membrane. Hence, the main objective of this project is to evaluate the permeance and relative permeance of commercial hollow fiber membrane under different feed pressure and feed CO2 composition using CO2-CH4-C3H8 as feed. A hollow fiber membrane module is prepared to conduct the lab experiments. Using the prepared module, experiments on the effect of feed pressure and CO2 composition in feed was conducted. The results obtained was analyzed to study the effect. From the analysis, it is learned that the permeance and relative permeance of CO2 increase with pressure in the range of 10 to 18 bar. The permeance and relative permeance of CO2 also increases when CO2 composition is increased from 16 Vol. % CO2 to 67 Vol. % CO2

Assess the impact of preoperative comprehensive nursing interventions on post operative outcome among patients undergoing cardiac surgery at selected hospital in Madurai

INTRODUCTION : The WHO estimated that 60% of the World’s cardiac patient was Indian by 2010. Recent studies showed that heart disease is a leading cause of morbidity and mortality in India. Significant heart disease has a national prevalence of 2.5% and affects 13% of patients with 75 years old. To estimate the preoperative levels of anxiety and functional ability in patients awaiting heart surgery and to identify the risk factors of post-operative outcome. Pre-operative comprehensive nursing intervention is very essential to improve the postoperative functional ability and the reducing the anxiety level of the patients. STATEMENTS OF THE PROBLEM : A study to assess the impact of pre-operative comprehensive nursing interventions on post- operative outcome among patients undergoing cardiac surgery at selected hospitals in Madurai 2017. OBJECTIVES : 1. To assess the post-operative outcome among patients undergoing cardiac surgery in the control and experimental group. 2. To determine the effectiveness of comprehensive nursing intervention on post-operative outcome among patients undergoing cardiac surgery between the control group and experimental group. 3. To associate the post-operative outcome of patient undergoing cardiac surgery with their demographic variable. METHODOLOGY : The research design adopted for the study was quasi experimental posttest control group design. The study was conducted at Apollo Multispecialty hospital, Madurai as Control Group and Vadamalayan Multispecialty Hospital as Experimental Group. Using Purposive Sampling techinique, the samples selected were 60, in which 30 samples were in the experimental group and the remaining 30 were in the control group. The Samples were recognized based on the inclusion criteria. Modified structured scale was a tool for data collection. Selected relaxation technique and exercises was demonstrated to the experimental group for 30 minutes twice a day for week in both morning and evening. The data obtained were analyzed and interpreted using descriptive and inferential statistics. RESULTS : The present research findings shows that the posttest 2nd mean % score is reduced to 38% from the post operative 3rd mean score of 32% with the mean difference of 6%. Therefore the pre-operative nursing intervention has impact in reducing the postoperative outcome among patients undergoing cardiac surgeries. elucidate the mean score difference between control 3rd and experimental 3rd post test scores in the post-operative outcome. The finding shows that with the mean score difference of 39, the post-test score in experimental 2nd was (47.57± 2.33) and experimental 3rd score was (21.47±1.96) with the difference of 39% post-test mean score. Therefore the pre-operative nursing intervention has impact in reducing the postoperative outcome among patients undergoing cardiac surgeries. Thus the research hypothesis (H1) is accepted. The comparison of mean post test scores regarding post-operative outcome between experimental 2nd and 3rd group [t =8.49 p < 0.001]. Thus the pre-operative comprehensive nursing interventions were effective among patients undergoing cardiac surgeries in the experimental group. Thus the research hypothesis (H2) is accepted. Reveals the comparison of mean post test scores regarding post-operative outcome between control 3rd and experimental 3rd group. The findings showed the obtain overall ‘t’ value 46.95 which is statistically significant at (p< 0.001). Thus the research hypothesis (H2) is accepted. DISCUSSION : The finding reveals that all over all unpaired ‘t’ values was 46.95, which showed a highly statistical significant at p<0.001 level. Here, it was inferred that the comprehensive nursing intervention highly significant effective in improving the post operative outcome among cardiac undergoing patients in experimental group compared to the control group. CONCLUSION : This present study concluded that preoperative comprehensive nursing interventions as a holistic care can be used as an effective tool on post-operative outcome to provide holistic care among patients undergoing cardiac surgeries this study recommends that the findings to generalize and to use other alternative educational strategies to improve postoperative outcome among patients undergoing cardiac surgeries

SNP analysis of follistatin gene associated with polycystic ovarian syndrome

Follistatin has been reported as a candidate gene for polycystic ovarian syndrome (PCOS) based on linkage and association studies. In this study, investigation of polymorphisms in the FST gene was done to determine if genetic variation is associated with susceptibility to PCOS. The nucleotide sequence of human follistatin and the protein sequence of human follistatin were retrieved from the NCBI database using Entrez. The follistatin protein of human was retrieved from the Swiss-Prot database. There are 344 amino acids and the molecular weight is 38,007 Da. The ProtParam analysis shows that the isoelectric point is 5.53 and the aliphatic index is 61.25. The hydropathicity is −0.490. The domains in FST protein are as follows: Pfam-B 5005 domain from 1 to 92; EGF-like subdomain from 93 to 116; Kazal 1 domain, occurred in three places, namely, 118–164, 192–239, and 270–316. There are 31 single-nucleotide polymorphisms (SNPs) for this gene. Some are nonsynonymous, some occur in the intron region, and some in an untranslated region. Two nonsynonymous SNPs, namely, rs11745088 and rs1127760, were taken for analysis. In the SNP rs11745088, the change is E152Q. Likewise, in rs1127760, the change is C239S. SIFT (Sorting Intolerant from Tolerant) showed positions of amino acids and the single letter code of amino acids that can be tolerated or deleterious for each position. There were six SNP results and each result had links to it. The dbSNP id, primary database id, and the type of mutation whether silent and if occurring in coding region are given as phenotype alterations. The FASTA format of protein was given to the nsSNP Analyzer tool, and the variation E152Q and C239S were given as inputs in the SNP data field. E152Q change was neutral and C239S causes disease. Using PANTHER for evolutionary analysis of coding SNPs, the protein sequence was given as input and analyzed for the E152Q and C239S SNPs for deleterious effect on protein function. The genetic association database results showed that FST gene SNPs are linked to PCOS coming under the disease class of metabolic disorders. The list of intronic and synonymous SNPs, with their nucleotide position, amino acid change information, and dbSNP link, is provided for further analysis

Secured Transmission of a compressed image by using ECC

Security is the main issue concerned with protecting the digital images that are transmitted over the network. By providing the high security, the digital images on the network can be protected from various types of attacks. A Cryptographic technique plays a major role in providing the security goals such as confidentiality and integrity for digital images. Elliptical curve cryptography (ECC) is the asymmetric encryption which is used to apply to the images that result from DWT Compression. Discrete Wavelet Transform (DWT) is an important compression technique which is used to compress the image effectively. It represents the input data in the form of the low pass (approximate) and high pass (detailed) coefficients. These coefficients are entered into the filters. The outputs from these filters are down-sampled for compression. In this paper, the transmitted images via wireless network were secured by encryption using the public key. The sender will generate the private key from the compressed image based on elliptical curve cryptography. The Sender will send the compressed image and private key separately to the receiver. DWT provides high compression ratio and robustness for protecting the digital image integrity. This experiment result provides some performance measures such as Peak Signal to Noise Ratio (PSNR), Bit Error Rate (BER) and Mean Squared Error (MSE). It also provides high integrity for transmitted digital images

Secured Transmission of a compressed image by using ECC

Security is the main issue concerned with protecting the digital images that are transmitted over the network. By providing the high security, the digital images on the network can be protected from various types of attacks. A Cryptographic technique plays a major role in providing the security goals such as confidentiality and integrity for digital images. Elliptical curve cryptography (ECC) is the asymmetric encryption which is used to apply to the images that result from DWT Compression. Discrete Wavelet Transform (DWT) is an important compression technique which is used to compress the image effectively. It represents the input data in the form of the low pass (approximate) and high pass (detailed) coefficients. These coefficients are entered into the filters. The outputs from these filters are down-sampled for compression. In this paper, the transmitted images via wireless network were secured by encryption using the public key. The sender will generate the private key from the compressed image based on elliptical curve cryptography. The Sender will send the compressed image and private key separately to the receiver. DWT provides high compression ratio and robustness for protecting the digital image integrity. This experiment result provides some performance measures such as Peak Signal to Noise Ratio (PSNR), Bit Error Rate (BER) and Mean Squared Error (MSE). It also provides high integrity for transmitted digital images