Network Bandwidth Predictive analysis using Stacking

Study presented in this paper is based on analysis of network bandwidth usage and using it as baseline to predict and improvise future network bandwidth usage. Network bandwidth plays an important role in evaluating any application’s performance running on a computer. Although it is not an application dependent parameter, however if affects overall performance of all the applications. Network bandwidth is finite and is limited by the laws of physics as well as technology limitations. Also, it is not free. For any organization, the cost of network bandwidth adds as a major and continual expense in overall infrastructure costs. Thus it becomes very important to continually monitor, analyze and improvise network bandwidth usage pattern. Historic data of network bandwidth usage is captured and used in this study. This historic data after some transformation defines the baseline, which is then absorbed by predictive analytics module. In this study we combine business intelligence along with bandwidth analytics. Business intelligence technique called as Stacking of predictive models is used to optimize the network usage patterns and thus improvise the overall usage of network bandwidth. An exhaustive research is also done while choosing the best combination of algorithms for stacking

A simple formal stereoselective synthesis of Herbarumin III

A formal stereoselective synthesis of Herbarumin III has been accomplished starting from butanal involving Maruoka asymmetric allylation, diastereoselective iodine-induced electrophilic cyclization and conversion of iodocarbonate into syn-epoxy alcohol as the key steps

Silvery gray hair syndromes: An insight into diagnosis

Context: Silvery gray hair syndromes consist of three conditions, Chediak–Higashi syndrome (CHS), Griscelli syndrome (GS), and Elejalde syndrome (ES), which are rare autosomal recessive diseases presenting in childhood. They have similar skin and hair changes but differ with respect to the other clinical findings. Aim: This retrospective study was taken up to identify the spectrum of silvery gray hair syndromes diagnosed over a period of 10 years (2006-2015) in a super specialty pediatric institute and also to identify characteristic clinical and diagnostic findings. Methods: A total of 17 children diagnosed to have silvery gray hair syndrome over a period of 10 years (2006-2015) at Indira Gandhi Institute of Child Health Hospital, Bengaluru and were studied retrospectively. Complete blood counts, peripheral smear study, and microscopic examination findings of the hair were analyzed. Radiological findings were also considered. Results: The most common syndrome in the study was GS Type II (10 cases) followed by CHS (5 cases), with one case each of GS Type III and ES. Conclusion: This study emphasizes the importance of silvery gray hair as a clue to diagnose these rare genetic disorders with proper clinical examination and simple diagnostic procedures

The Nobel Prize In Chemistry 2016: Molecular Machines

The Nobel Prize in Chemistry 2016 was granted to Jean-Pierre Sauvage, Sir James F. Stoddart and Bernard (Ben) L. Feringa. These scientists were responsible for the creation and development of molecular machines. The development of such systems represents a breakthrough in the field of supramolecular chemistry, nanotechnology and organic synthesis. This article aims to bring simple and objective information to the scientific community about the work of these three researchers.40111312

A pulse generation system based on new method for testing performance of high-resolution nuclear spectroscopy systems

380-385The paper presents a design and construction of uniform amplitude pulse generator for testing Differential Non-Linearity (DNL) of high-resolution nuclear spectroscopy systems. The paper describes two methods based on two new techniques called DAC Interpolation and Analog Multiplexer based design. A prototype of DAC interpolation technique has been designed and tested. **The method based on analog multiplexer and chain of resistors is simulated and the results of which is reported in the paper. The systems produce pulses with step size of 10 microvolt (µV), making them capable for calibrating spectroscopy systems with the resolution as high as 13-bit (8K). The systems are designed using commercially available components. The pulse generation system provides import substitute for commercially available imported models

A pulse generation system based on new method for testing performance of high-resolution nuclear spectroscopy systems

The paper presents a design and construction of uniform amplitude pulse generator for testing Differential Non-Linearity (DNL) of high-resolution nuclear spectroscopy systems. The paper describes two methods based on two new techniques called DAC Interpolation and Analog Multiplexer based design. A prototype of DAC interpolation technique has been designed and tested. **The method based on analog multiplexer and chain of resistors is simulated and the results of which is reported in the paper. The systems produce pulses with step size of 10 microvolt (µV), making them capable for calibrating spectroscopy systems with the resolution as high as 13-bit (8K). The systems are designed using commercially available components. The pulse generation system provides import substitute for commercially available imported models

The Nobel Prize in Chemistry 2016: molecular machines

The Nobel Prize in Chemistry 2016 was granted to Jean-Pierre Sauvage, Sir James F. Stoddart and Bernard (Ben) L. Feringa. These scientists were responsible for the creation and development of molecular machines. The development of such systems represents a breakthrough in the field of supramolecular chemistry, nanotechnology and organic synthesis. This article aims to bring simple and objective information to the scientific community about the work of these three researchers.The Nobel Prize in Chemistry 2016 was granted to Jean-Pierre Sauvage, Sir James F. Stoddart and Bernard (Ben) L. Feringa. These scientists were responsible for the creation and development of molecular machines. The development of such systems represents401113123sem informaçãosem informaçã

Systems Biology Analysis of Brucella Infected Peyers Patch Reveals Rapid Invasion with Modest Transient Perturbations of the Host Transcriptome

Brucella melitensis causes the most severe and acute symptoms of all Brucella species in human beings and infects hosts primarily through the oral route. The epithelium covering domed villi of jejunal-ileal Peyer’s patches is an important site of entry for several pathogens, including Brucella. Here, we use the calf ligated ileal loop model to study temporal in vivo Brucella-infected host molecular and morphological responses. Our results document Brucella bacteremia occurring within 30 min after intraluminal inoculation of the ileum without histopathologic traces of lesions. Based on a system biology Dynamic Bayesian Network modeling approach (DBN) of microarray data, a very early transient perturbation of the host enteric transcriptome was associated with the initial host response to Brucella contact that is rapidly averted allowing invasion and dissemination. A detailed analysis revealed active expression of Syndecan 2, Integrin alpha L and Integrin beta 2 genes, which may favor initial Brucella adhesion. Also, two intestinal barrier-related pathways (Tight Junction and Trefoil Factors Initiated Mucosal Healing) were significantly repressed in the early stage of infection, suggesting subversion of mucosal epithelial barrier function to facilitate Brucella transepithelial migration. Simultaneously, the strong activation of the innate immune response pathways would suggest that the host mounts an appropriate protective immune response; however, the expression of the two key genes that encode innate immunity anti-Brucella cytokines such as TNF-a and IL12p40 were not significantly changed throughout the study. Furthermore, the defective expression of Toll-Like Receptor Signaling pathways may partially explain the lack of proinflammatory cytokine production and consequently the absence of morphologically detectable inflammation at the site of infection. Cumulatively, our results indicate that the in vivo pathogenesis of the early infectious process of Brucella is primarily accomplished by compromising the mucosal immune barrier and subverting critical immune response mechanisms.The open access fee for this work was funded through the Texas A&M University Open Access to Knowledge (OAK) Fund

Dengue infection atlas - A systems biology approach using high-throughput data integration

Dengue virus (DENV) causes millions of infections around the world and is classified as an emerging pathogen in the USA. Though some of the steps in Dengue virus infection and replication are known, understanding of molecular mechanisms is still elusive. An unpublished microarray gene expression data from Dengue infected HuH7 liver cells at 18 hr and 24 hr p.i. was analyzed to identify differentially expressed genes (DEGs). Transcription of 30 genes was found to be perturbed (26 induced and four down-regulated). Pathway and functional analysis of the DEGs, strongly suggests that the Endoplasmic Reticulum plays an important role in Dengue virus infection. Integration of high-throughput data, DEGs, human proteins interacting with Dengue proteins (DHPINs) and human genes required for Dengue replication (DRNAi), confirms the significance of the Endoplasmic reticulum-associated protein-degradation pathway in DENV infection. DEGs identified in this work did not show extensive overlap with previously reported DEGs. Application of consistent analytical and statistical techniques to the gene expression data from ten DENV infection studies did not substantially improve the amount of overlap between the reported DEGs. Meta-analysis of the combined data using a leave-out dataset cross-validation approach, however, found a total of 1,568 differentially expressed genes. In analyses that include time points early in infection, pathways related to cancer and cell junction are enriched in DEGs, but in analyses in which early time-points are excluded, metabolic and cell signaling related pathways are enriched. This confirms that there is a progressive shift in the effect of the virus on cellular gene expression as infection progresses. Topological profiling, with respect to the human protein-interaction network (HPIN), of DEGs, DRNAi, and DHPINs from DENV shows that DEGs and DHPINs prefer proteins with high degree and betweenness centrality measures but DRNAi do not show a similar trend. However, DENV does not target proteins with high clustering coefficient. DHPINs do not interact with hub proteins (top 5% degree proteins) but rather interact with bottleneck proteins (top 5% betweenness centrality proteins). The combination of these studies substantially extends our understanding of the effects of Dengue virus on host molecular processes

Study of Mask projections of slicing techniques in polar coordinates for 3D printing

This Research Assingnment was done in School of Industrial Engineering of Barcelona (ETSEIB) -UPC,Barcelona. I would like to thank UPC Barcelona for giving opportunity to do research work in a subject which greatly interests me. I would like to thank my supervisor Dr. Joaquim Minguella Canela for giving valuable inputs and suggestions regarding research work. With the blessings of Almighty, I wish to extend my sincere gratitude to our Honorable Vice Chancellor, Dr. S. Vaidhyasubramaniam, SASTRA Deemed to be University, without whom I would have not had get an opportunity. I also wish to extend my sincere gratitude to our Registrar, Dr. R. Chandramouli, SASTRA Deemed to be University, without whom I would have not had such an opportunity. I would like to express my special thanks to Raja Subramanian Mahadevan, The Officer for International Students who helped me a lot to get an opportunity to proceed my project work in UPC, Barcelona, Spain and this could not be happend without his support. I owe my hearty thanks to Dr. S. Pugazhenthi, The Dean, School of Mechanical Engineering, SASTRA Deemed to be University for his valuable support. I would thank specilly the International Office Staff here in UPC, Barcelona for helping us here for some basic works. I would like to thank my Internal guide Dr. P.S.Sivasaktivel , SAP, School of Mechanical Engineering, SASTRA Deemed to be University for his help and support towads this project to be done in UPC, Barcelona, Spain. I would like like to express my thanks to my friend Namburi Leela Deepak, who is there with me here in Barcelona and helped me a lot for staying here and doing this project succesful. I express my heartfelt thanks to all my class members for their continuous help and support for proceeding my project work. Last but not the least, I thank my Parent, Friends and People who are not under the scene but have helped in the successful fulfilment of this project