A Survey on Clustering Algorithm for Microarray Gene Expression Data

The DNA data are huge multidimensional which contains the simultaneous gene expression and it uses the microarray chip technology, also handling these data are cumbersome. Microarray technique is used to measure the expression level from tens of thousands of gene in different condition such as time series during biological process. Clustering is an unsupervised learning process which partitions the given data set into similar or dissimilar groups. The mission of this research paper is to analyze the accuracy level of the microarray data using different clustering algorithms and identify the suitable algorithm for further research process

Enhancing Firefly Algorithm for better Network lifetime optimization in Healthcare Monitoring System - Cloud Computing Environment

The Internet of Things (IoT), a new phenomenon in the technology industry, is mostly responsible for updating healthcare systems by gathering and analyzing patient physiological data through wearable technology and sensor networks. It is difficult to process so much data from so many IoT devices in such a short amount of time. Maximizing the network lifetime is one of the most significant tasks faced by any wireless sensor network. The objective of the study described in this paper was to apply swarm intelligence metaheuristics to optimize the cluster head selection. In order to extend the lifetime of the WSN, we have implemented both the original firefly algorithm (FA) and the proposal for the revised FA. Additionally, According to the proposed study, sensitive data is created and stored by IoT devices, which are vulnerable to attack, and data processing is handled by the edge server. Standard security algorithms like AES, DES, and RSA make it difficult for the majority of IoT devices to function successfully because of their restricted resources. For real-time processing, visualization, and diagnosis, the real-time data is subsequently sent to a distant cloud server

The Role of Higher Education Institutions in Promoting Innovativeness and Passion towards Entrepreneurship among Students – A Meta-Analytic Review

With the growing importance of entrepreneurship education, entrepreneurship programs established within higher education institutions are thriving hard to achieve entrepreneurship educational outcomes in recent years. Several studies reported the role of higher education institutions in promoting entrepreneurship education and enhancing students\u27 skill sets in various ways. To extend this knowledge, this paper aims to analyse the role of higher education institutions in promoting innovativeness and passion among students pursuing entrepreneurship education. A meta-analytic review is conducted by combining the results from empirical analysis of 24 related studies. The influence of higher education institutions on entrepreneurship educational outcomes and individual transformations is examined and their relationships are exposed. The results of the review show that various components of higher education institutions are positively related to individual transformations (rc=0.579) and entrepreneurship educational outcomes (rc=0.331). It is also found that the passion (rc = 0.31) and innovativeness (rc = 0.2771) are positively correlated with entrepreneurship educational outcome. Moreover, institutional environment has a greater impact on passion (rc = 0.531). Thus, the results indicate that higher education institutions play an important role in promoting passion and innovativeness among students

In Silico Prediction of Evolutionarily Conserved GC-Rich Elements Associated with Antigenic Proteins of Plasmodium falciparum

The Plasmodium falciparum genome being AT-rich, the presence of GC-rich regions suggests functional significance. Evolution imposes selection pressure to retain functionally important coding and regulatory elements. Hence searching for evolutionarily conserved GC-rich, intergenic regions in an AT-rich genome will help in discovering new coding regions and regulatory elements. We have used elevated GC content in intergenic regions coupled with sequence conservation against P. reichenowi, which is evolutionarily closely related to P. falciparum to identify potential sequences of functional importance. Interestingly, ~30% of the GC-rich, conserved sequences were associated with antigenic proteins encoded by var and rifin genes. The majority of sequences identified in the 5′ UTR of var genes are represented by short expressed sequence tags (ESTs) in cDNA libraries signifying that they are transcribed in the parasite. Additionally, 19 sequences were located in the 3′ UTR of rifins and 4 also have overlapping ESTs. Further analysis showed that several sequences associated with var genes have the capacity to encode small peptides. A previous report has shown that upstream peptides can regulate the expression of var genes hence we propose that these conserved GC-rich sequences may play roles in regulation of gene expression

MITOCHONDRIA LOCALIZED TLR ADAPTOR SARM IS PROAPOPTOTIC DURING T-CELL IMMUNE RESPONSE

Ph.DDOCTOR OF PHILOSOPH

Assessment of Cytomorphometry of Human Buccal Cells in Gestational Diabetes Mellitus patients: A Cross Sectional study

AIM OF THE STUDY: The aim of the study was to assess the cytomorphometric changes in the exfoliated buccal mucosal cells in Gestational diabetes mellitus patients. OBJECTIVES: The objectives of the study were, 1. To assess the cytomorphometry of exfoliated buccal cell in GDM patients during pregnancy. 2. To assess the cytomorphometry of exfoliated buccal cell in healthy pregnant women during pregnancy. 3. To compare the cytomorphometry of exfoliated buccal cells between healthy pregnant women and GDM patients. MATERIALS AND METHODS: This study consisted of a total sample size of 80 pregnant women. The participants were divided in to 2 groups which include 40 cases of GDM patients as group I and 40 cases of healthy pregnant women as group II. The smear was collected from the buccal mucosa of both the group using cyto-brush and stained with Rapid PAP staining method. The stained slides were viewed and the images of 100 cells from each slide were captured. By using image pro premier 9.1 software, Nuclear area (NA), Cytoplasm area (CA), Nuclear cytoplasmic ratio (N/C ratio) was measured from each captured image of cell. Statistical analysis was done using unpaired-T test for comparing the study group and control group. RESULTS: Result showed that the mean nuclear area in GDM group was 35±5.04 and in control group was 22.53±5.31. The mean cytoplasm area in GDM group was 1182.95±175.12 and in control group was 1109.60±155.75. The mean nuclear cytoplasmic ratio (N/C ratio) in GDM group was 38.04±8.02 and in control group was 57.85±9.83. Morphologic variations like binucleation, micronuclei, perinuclear halo in buccal cells obtained from GDM patients. There was a statistically significant increase in NA in GDM group than control group (p= 0.000), N/C ratio was markedly higher in control group than GDM group (p= 0.000). The CA did not exhibit a statistically significant difference between the two group (p= 0.051). CONCLUSION: Oral exfoliative cytology can be used as a simple chair side investigation that is quick, simple, less technically challenging, painless and non-invasive procedure for microscopic investigation of the mucosa in GDM patients. The results observed in this study might contribute to the general understanding of the alterations in the cellular pattern of oral mucosa cells in GDM patients, and provide health professionals with adjuvant diagnostic tool for the early diagnosis of GDM

Assessment of RAFT polymerization in the synthesis of crosslinked materials for energy storage

The synthesis and characterization of two different classes of polymer crosslinked materials, useful for energy storage and improving energy efficiency, is here studied. Products resulting from the encapsulation of phase change materials (PCM), which can be used for thermal energy storage/release, are considered as first case study. For this purpose, different kinds of PCM can be considered in the encapsulation process, namely renewable based PCM such as natural fatty acids (e.g. stearic/palmitic acids). The sulfur inverse-vulcanization process, producing materials with useful electrochemical properties, is considered as second case study. This latter process takes advantage of the excess of elemental sulfur that is generated in petroleum refining and allows the synthesis of sulfur-rich copolymers to be applied (e.g.) as active materials in lithium-sulfur (Li-S) batteries.FCT and FEDER under Programme COMPETE (Project PEst-C/EQB/LA0020/2013), QREN, ON2 and FEDER (Project NORTE-07-0162-FEDER-000050) and QREN, ON2 and FEDER (Project NORTE-07-0124-FEDER- 0000014 - Polymer Reaction Engineering)

Synthesis and testing of polymer crosslinked materials for applications in energy storage and Li-S batteries

The feasibility of making polymer crosslinked materials with applications in improving energy efficiency is here demonstrated. The encapsulation of phase change materials (PCM), for thermal energy storage/release, and sulphur inverse-vulcanization (producing materials with useful electrochemical properties) are here used as case studies. Effective thermal properties of the produced encapsulated PCM materials were measured through TG/DSC analysis (see graphical abstract). Designing tools allowing the synthesis of materials with tailored thermal properties were exploited (e.g. use of controlled radical polymerization). Sulphur-rich networks are synthetized using different operation conditions (e.g. considering RAFT/NMRP). Testing of these materials in Li-S batteries to assess the impact of the synthesis conditions in their electrochemical properties is ongoing work.FCT and FEDER under Programme COMPETE (Project PEst-C/EQB/LA0020/2013), QREN, ON2 and FEDER (Project NORTE-07-0162-FEDER-000050) and QREN, ON2 and FEDER (Project NORTE-07-0124-FEDER- 0000014 - Polymer Reaction Engineering)