Modeling process intensified catalytic plate reactor for synthesis gas production

This paper presents numerical study of co- and counter-flow arrangements for catalytic plate reactors (CPR). CH4 steam reforming coupled with CH4 oxidation is simulated using detailed surface reaction mechanisms. Effect of inlet velocities to the reforming channel, oxidation channel, and material properties of the plate on the resulting plate temperature and CH4 conversions is studied. The simulation results agree very well with an industrial scale reformer unit and calculations are further carried out to evaluate the number of CPRs and stacks required to replace and industrial uni

A Role of Knowledge Level of Employees in Customer Relationship Management With Special Reference to Lic

Purpose: Role ofknowledge level of employees in customer relationship management with special reference to LIC. In order to investigate a range of factors of CRM in LIC of India. In this specially concentrate to understand the knowledge level of the employees as perceived by the customer.   Theoretical framework: The theoretical frame work of the study, CRM is assessed the Knowledge level of employees isthe independent variables and the customer satisfaction is the dependent variable in the study. CRM is shown influencing the customer satisfaction. The significant influences of the factors on CRM vary according to different demographic profiles and views on policy holdings.   Design/Methodology/Approach:Descriptive research design was use in this studyThe prime data were collected from the sample of the respondents was identified from the total population of lic policy holders. The statistical analysis was carried out with the application of SPSS package. Both Descriptive and Inferential Analysis were carried out. The tools for the Inferential Analysis included Independent Sample t-test, One Way ANOVA, Chi Square Test, Friedman Test, Correlation and Regression.   Findings: The findings of the study based on output of the study. Henceforth reasoned that there is a huge distinction between mean positions towards Factors of Customer Relationship Management. In light of mean position, Customer Engagement is the main variable of CRM, trailed by Deployment of Modern Technology Knowledge level of the Employees etc. There is no importance contrast between capability of representatives concerning the Factors of Knowledge level of the Employees, There is significance contrast among male and female of laborers with respect to the Factors of Knowledge level of the Employees. The connection coefficient between Perception on Explanation of various items and Ready for Clarification is positive connections between Perception on Explanation of various item and Perception on Ready for Clarification .The connection coefficient between Explanation of various item and Recommending Right Schemes is positive connections between Explanation of various item and Recommending Right Schemes. The connection coefficient between Perception on Explanation of various items and Knowledge about Procedure is positive connections between Perception on Explanation of various items and Easy Acquisition of Policy and also different variables are decidedly corresponded with one another.   Research, practical & social implications:This article express a different perspective on CRM in LIC.The results of this study indicate knowledge level of employees has a strong impact on customer satisfaction. Therefore top management should implement latest technology based increase the knowledge level of employees. To increase the knowledge level of employees to help the increasing satisfaction level of policy holders. It is intended to help guide and reassure current and potential Ph. D students.   Originality/value:To date, no systematic review has been conducted on the knowledge level of employees in LIC .This paper makes an important contribution to knowledge level of employees in CRM

Effect of Glomus mosseae (Nicol. and Gerd.) Gerdemann and Trappe on root-knot disease of menthol mint (Mentha arvensis sub sp. haplocalyx Briquet) caused by Meloidogyne incognita (Kofoid and White) Chitwood

Glasshouse experiments conducted to find out the effect of the vesicular-arbuscular mycorrhizal fungus, Glomus mosseae on reproduction of root-knot nematode Meloidogyne incognita and growth and yield of menthol mint (Mentha arvensis sub sp. haplocalyx) indicated that G. mosseae was effective in reducing populations of M. incognita and increasing growth and biomass productivity of menthol mint. Maximum supression in nematode populations was observed when G. mosseae was inoculated 15 days prior to inoculation of nematodes. Shoot length and oil yield of G. mosseae inoculated plants was significantly higher than uninoculated plants. &nbsp

Effect of Glomus mosseae (Nicol. and Gerd.) Gerdemann and Trappe on root-knot disease of menthol mint (Mentha arvensis sub sp. haplocalyx Briquet) caused by Meloidogyne incognita (Kofoid and White) Chitwood

Glasshouse experiments conducted to find out the effect of the vesicular-arbuscular mycorrhizal fungus, Glomus mosseae on reproduction of root-knot nematode Meloidogyne incognita and growth and yield of menthol mint (Mentha arvensis sub sp. haplocalyx) indicated that G. mosseae was effective in reducing populations of M. incognita and increasing growth and biomass productivity of menthol mint. Maximum supression in nematode populations was observed when G. mosseae was inoculated 15 days prior to inoculation of nematodes. Shoot length and oil yield of G. mosseae inoculated plants was significantly higher than uninoculated plants. &nbsp

Brain structural covariance networks in obsessive-compulsive disorder: a graph analysis from the ENIGMA Consortium.

Brain structural covariance networks reflect covariation in morphology of different brain areas and are thought to reflect common trajectories in brain development and maturation. Large-scale investigation of structural covariance networks in obsessive-compulsive disorder (OCD) may provide clues to the pathophysiology of this neurodevelopmental disorder. Using T1-weighted MRI scans acquired from 1616 individuals with OCD and 1463 healthy controls across 37 datasets participating in the ENIGMA-OCD Working Group, we calculated intra-individual brain structural covariance networks (using the bilaterally-averaged values of 33 cortical surface areas, 33 cortical thickness values, and six subcortical volumes), in which edge weights were proportional to the similarity between two brain morphological features in terms of deviation from healthy controls (i.e. z-score transformed). Global networks were characterized using measures of network segregation (clustering and modularity), network integration (global efficiency), and their balance (small-worldness), and their community membership was assessed. Hub profiling of regional networks was undertaken using measures of betweenness, closeness, and eigenvector centrality. Individually calculated network measures were integrated across the 37 datasets using a meta-analytical approach. These network measures were summated across the network density range of K = 0.10-0.25 per participant, and were integrated across the 37 datasets using a meta-analytical approach. Compared with healthy controls, at a global level, the structural covariance networks of OCD showed lower clustering (P < 0.0001), lower modularity (P < 0.0001), and lower small-worldness (P = 0.017). Detection of community membership emphasized lower network segregation in OCD compared to healthy controls. At the regional level, there were lower (rank-transformed) centrality values in OCD for volume of caudate nucleus and thalamus, and surface area of paracentral cortex, indicative of altered distribution of brain hubs. Centrality of cingulate and orbito-frontal as well as other brain areas was associated with OCD illness duration, suggesting greater involvement of these brain areas with illness chronicity. In summary, the findings of this study, the largest brain structural covariance study of OCD to date, point to a less segregated organization of structural covariance networks in OCD, and reorganization of brain hubs. The segregation findings suggest a possible signature of altered brain morphometry in OCD, while the hub findings point to OCD-related alterations in trajectories of brain development and maturation, particularly in cingulate and orbitofrontal regions

Extracellular volume quantification in isolated hypertension - changes at the detectable limits?

The funding source (British Heart Foundation and UK National Institute for Health Research) provided salaries for research training (FZ, TT, DS, SW), but had no role in study design, collection, analysis, interpretation, writing, or decisions with regard to publication. This work was undertaken at University College London Hospital, which received a proportion of funding from the UK Department of Health National Institute for Health Research Biomedical Research Centres funding scheme. We are grateful to King’s College London Laboratories for processing the collagen biomarker panel

An overview of the first 5 years of the ENIGMA obsessive-compulsive disorder working group: The power of worldwide collaboration

Neuroimaging has played an important part in advancing our understanding of the neurobiology of obsessive-compulsive disorder (OCD). At the same time, neuroimaging studies of OCD have had notable limitations, including reliance on relatively small samples. International collaborative efforts to increase statistical power by combining samples from across sites have been bolstered by the ENIGMA consortium; this provides specific technical expertise for conducting multi-site analyses, as well as access to a collaborative community of neuroimaging scientists. In this article, we outline the background to, development of, and initial findings from ENIGMA's OCD working group, which currently consists of 47 samples from 34 institutes in 15 countries on 5 continents, with a total sample of 2,323 OCD patients and 2,325 healthy controls. Initial work has focused on studies of cortical thickness and subcortical volumes, structural connectivity, and brain lateralization in children, adolescents and adults with OCD, also including the study on the commonalities and distinctions across different neurodevelopment disorders. Additional work is ongoing, employing machine learning techniques. Findings to date have contributed to the development of neurobiological models of OCD, have provided an important model of global scientific collaboration, and have had a number of clinical implications. Importantly, our work has shed new light on questions about whether structural and functional alterations found in OCD reflect neurodevelopmental changes, effects of the disease process, or medication impacts. We conclude with a summary of ongoing work by ENIGMA-OCD, and a consideration of future directions for neuroimaging research on OCD within and beyond ENIGMA