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Search Results: 1 - 10 of 190 matches for " Mohini Gore "
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Ayur-informatics: Establishing an in-silico-ayurvedic medication for Alzheimer’s disease
Mohini Gore,Preenon Bagchi,Desai N.S.,Ajit Kar
International Journal of Bioinformatics Research , 2010,
Abstract: Alzheimer’s disease is an incurable, degenerative, and terminal disease. It is associated withmutations in Amyloid Precursor Protein (APP), Presenilin 1 (PS1), Presenilin 2 (PS2), or Apolipoprotein E(APOE). 3D structures of these 4 proteins were generated using Homology Modeling. Active compounds ofmedicinal herbs- Canscora decussate, Nardostachys jatamansi and Mucuna pruriens were selected asthese three herbs have properties of memory enhancement. Chemical structures of the active component ofthese herbs were drawn using chemsketch, combined & converted to *.pdb. The four proteins weresuccessfully docked with Canscora decussate- Nardostachys jatamansi –Mucuna pruriens’s activecomponent combination.
Optimization of Microwave Assisted Alkaline Extraction of Xylan from Birch Wood Using Response Surface Methodology  [PDF]
Suhara Panthapulakkal, Mohini Sain
Journal of Materials Science and Chemical Engineering (MSCE) , 2013, DOI: 10.4236/msce.2013.16006
Abstract:

The main purpose of this study was to optimize microwave assisted alkaline extraction of the hemicellulose, xylan, from birch wood. The simultaneous effects of process variables such as time (10 - 30 minutes), concentration of sodium hydroxide solution (4 - 8 wt%), solid to liquid ratio (1:8 to 1:20, g:mL), and sample size (5 - 10 g) on the temperature of the wood slurry, wood dissolution, and yield of extraction were evaluated. A central composite design (CCD) and response surface methodology (RSM) were used for the optimization of the extraction process. Based on the CCD, quadratic models were developed to correlate the extraction process variables with the responses such as temperature of wood slurry, wood dissolution, and yield of xylan and the models were analyzed using appropriate statistical methods (ANOVA). Statistical analysis showed that all the models developed were found to be adequate for the prediction of the respective responses. Optimization of the process was performed using a numerical optimization available in the software to maximize the yield of xylan and the optimum process variables for the maximum yield of xylan was found to be: 10 g of wood fibres, 8 wt% of NaOH solution, 1:10 solid to liquid ratio (g:mL) and 25 minutes of irradiation time. About 72.5% of the xylan present in the birch wood was extracted using the optimized extraction parameters.

Globalization and Its Impact on the Medium of Instruction In Higher Education in Malaysia
Mohini Mohamed
International Education Studies , 2008, DOI: 10.5539/ies.v1n1p89
Abstract: Understanding bilingualism in science and mathematics education and developing a principled instruction is a pressing issue in Malaysian system of education. With the implementation of government policy of teaching science and mathematics in English starting from year 2003, an increasing number of students are affected with this policy. An initial study has been undertaken to examine the view of instructors from two public universities in Malaysia. A total of 175 respondents comprise of professors, associate professors and lecturers from eleven faculties participated in the research. In the context of Malaysia, even though the dilemma was due to governmental initiatives, it is important to raise the consciousness of the bilingual educator and to liberate their view of bilingual education beyond a simple governmental definition or a single societal perspective.
Extrusion of Thermoplastic Starch: Effect of “Green” and Common Polyethylene on the Hydrophobicity Characteristics  [PDF]
Muhammad Pervaiz, Philip Oakley, Mohini Sain
Materials Sciences and Applications (MSA) , 2014, DOI: 10.4236/msa.2014.512085
Abstract: Novel plastics that are biodegradable, environmentally benign, and made from renewable natural resources are currently being researched as alternatives to traditional petroleum-based plastics. One such plastic, thermoplastic starch (TPS) is produced from starch processed at high temperatures in the presence of plasticizers, such as water and glycerol. However, because of its hydrophilic nature, TPS exhibits poor mechanical properties when exposed to environmental conditions, such as rain or humidity. The overall objective of this research work was to produce a thermoplastic starch based material with low water absorption that may be used to replace petroleum-based plastics. With a recent emergence of “green” polyethylene (GPE), sourced from renewable feedstock, it has become possible to develop novel biodegradable polymers for various applications. In this work, GPE was melt blended with starch in three different ways; reactive extrusion of GPE and starch facilitated by maleic anhydride (MAH) and dicumyl peroxide (DCP), melt blending of GPE and starch by extrusion, and melt blending of maleated polyethylene and starch by extrusion. Comprehensive testing and analysis has shown that all methods reduced water absorption significantly with some variations across the board.
Evaluation of the Influence of Fibre Aspect Ratio and Fibre Content on the Rheological Characteristic of High Yield Pulp Fibre Reinforced Polyamide 11 “HYP/PA11” Green Composite  [PDF]
Robenson Cherizol, Mohini Sain, Jimi Tjong
Open Journal of Polymer Chemistry (OJPChem) , 2015, DOI: 10.4236/ojpchem.2015.51001
Abstract: The rheological behavior of composites made with low-density polyamide 11 (PA11) and high yield pulp fibre (HYP) is evaluated. The rheological properties of high-yield, pulp-reinforced bio- based Nylon 11 HYP/PA11 composite were investigated using a capillary rheometer. The rheological tests were realized in function of the shear rate for different temperature conditions. The experimental results showed that identically for fibre content and aspect ratio, the shearing effects decreased as the temperature increased; that is, the HYP/PA11 became more non-Newtonian in the higher temperature region, which corresponds to the high pseudoplasticity of the HYP/PA11. At low HYP content, the shear viscosity is expected to increase rapidly with increasing concentrations of the fibres because of the rapidly increasing interactions between particles as they become more closely packed. However, at very high fibre content, random anisotropic structure of the fibres in polymer melts is created. The increase in shear viscosity is greater at lower shear rates, where fibre and polymer molecules are not completely oriented.
Review of Non-Newtonian Mathematical Models for Rheological Characteristics of Viscoelastic Composites  [PDF]
Robenson Cherizol, Mohini Sain, Jimi Tjong
Green and Sustainable Chemistry (GSC) , 2015, DOI: 10.4236/gsc.2015.51002
Abstract: This study presents an overview of viscoelastic characteristics of biocomposites derived of natural-fibre-reinforced thermoplastic polymers and predictive models has been presented in order to understand their rheological behavior. Various constitutive equations are reviewed for a better understanding of their applicability to polymer melt in determining the viscosity. The models to be investigated are the Giesekus-Leonov model, the Upper Convected Maxwell (UCM) model, the White-Metzner model, K-BKZ model, the Oldroyd-B model, and the Phan-Thien-Tanner models. The aforementioned models are the most powerful for predicting the rheological behavior of hybrid and green viscoelastic materials in the presence of high shear rate and in all dimensions. The Phan-Thien Tanner model, the Oldroyd-B model, and the Giesekus model can be used in various modes to fit the relaxation modulus accurately and to predict the shear thinning as well as shear thickening characteristics. The Phan-Thien Tanner, K-BKZ, Upper convected Maxwell, Oldroyd-B, and Giesekus models predicted the steady shear viscosity and the transient first normal stress co-efficient better than the White-Metzner model for green-fibre-reinforced thermoplastic composites.
Modeling the Rheological Characteristics of Flexible High-Yield Pulp-Fibre-Reinforced Bio-Based Nylon 11 Bio-Composite  [PDF]
Robenson Cherizol, Mohini Sain, Jimi Tjong
Journal of Encapsulation and Adsorption Sciences (JEAS) , 2015, DOI: 10.4236/jeas.2015.51001
Abstract: The aim of this work was to develop a mathematical model to investigate the rheological characteristics of viscoelastic pulp-fibre composite materials. The rheological properties of High-Yield Pulp (HYP) reinforced bio-based Nylon 11 (Polyamide 11) (PA11) composite (HYP/PA11) were investigated using a capillary rheometer. Novel predicted multiphase rheological-model-based polymer, fibre, and interphasial phases were developed. Rheological characteristics of the compo-site components influence the development of resultant microstructures; this in turn affects mechanical characteristics of a multiphase composite. The main rheological characteristics of polymer materials are viscosity and shear rate. Experimental and theoretical test results of HYP/PA11 show a steep decrease in apparent viscosity with increasing shear rate, and this melt-flow characteristic corresponds to shear-thinning behavior in HYP/PA11. The non-linear mathematical model to predict the rheological behavior of HYP/PA11 was validated experimentally at 200°C and 5000 S-1?shear rate. Finally, predicted and experimental viscosity results were compared and found to be in a strong agreement.
Review of Non-Newtonian Mathematical Models for Rheological Characteristics of Viscoelastic Composites  [PDF]
Robenson Cherizol, Mohini Sain, Jimi Tjong
Green and Sustainable Chemistry (GSC) , 2015, DOI: 10.4236/gsc.2015.51002
Abstract: This study presents an overview of viscoelastic characteristics of biocomposites derived of natural-fibre-reinforced thermoplastic polymers and predictive models have been presented in order to understand their rheological behavior. Various constitutive equations are reviewed for a better understanding of their applicability to polymer melt in determining the viscosity. The models to be investigated are the Giesekus-Leonov model, the Upper Convected Maxwell (UCM) model, the White-Metzner model, K-BKZ model, the Oldroyd-B model, and the Phan-Thien-Tanner models. The aforementioned models are the most powerful for predicting the rheological behavior of hybrid and green viscoelastic materials in the presence of high shear rate and in all dimensions. The Phan-Thien Tanner model, the Oldroyd-B model, and the Giesekus model can be used in various modes to fit the relaxation modulus accurately and to predict the shear thinning as well as shear thickening characteristics. The Phan-Thien Tanner, K-BKZ, Upper convected Maxwell, Oldroyd-B, and Giesekus models predicted the steady shear viscosity and the transient first normal stress coefficient better than the White-Metzner model for green-fibre-reinforced thermoplastic composites.
Viral hepatitis : The need for action
Gore Charles
Hepatitis B Annual , 2009,
Abstract:
Flash Mob Dance and the Territorialisation of Urban Movement
Georgiana Gore
Anthropological Notebooks , 2010,
Abstract: In this paper, I examine Flash Mob Dance as a new dance genre, incorporating elements from previous modes of non-institutional theatrical and other forms of performance through online ethnography. Consisting of one-off collective dance events organised in public spaces through mobile phone and internet communication, it effectively reconfigures urban spaces by implementing diverse staging strategies. Through the creation of temporary performance sites, the flow of people and traffic is disrupted, creating potentially new forms of sociality, regardless of whether the performance has political, economic or other objectives.
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