191 research outputs found
Investigation on structural properties of M-type strontium hexaferrite synthesized in presence of neem and aloe-vera plant leaves extract
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Opinion Mining:Using Machine Learning Techniques
No full textThe machine learning is the emerging research domain, from which number of emerging trends are available, among them opinion mining is the one technology attraction through which the we could get analysis of the interested domain or we can say about the review from the customer towards any product or we can say any upcoming trending information. These two are the emerging words and we can say it's the buzz word in the information technology. As you will see that its widely use by the corporate sector to uplift the business next level. Before two decade you will not read any words e.g., Opinion mining or Sentiment analysis, but in the last two decade these words have given a new life to information technology domain as well as to the business. The important question which runs in the mind is why use sentiment analysis or opinion mining. The information technology has given number of new programming languages, new innovation and within that the data mining has given this trends to the users. The chapter is covering the three major concept's which comes under the machine learning e.g., Decision tree, Bayesian network and Support vector machine. The chapter is describing the basic inputs, and how it helps in supporting stakeholders by adopting these technologies
Incorporation of curcumin in lipid based delivery systems and assessment of its bioaccessibility
No full textCurcumin, the major curcuminoid compound from turmeric (Curcuma longa) is a well-studied nutraceutical with many health promoting biological properties. The benefits of curcumin greatly dependon its solubilization (bioaccessibility) and subsequent absorption through cell lining so that it can reach systemic/general circulation. Unfortunately, curcumin has low water solubility and undergoes rapid metabolism on oral delivery. Lipids have shown to affect the absorption of poorly soluble nutraceuticals such as curcumin by enhancing solubilization in the intestinal milieu through alterations to the composition and character of the colloidal environment –e.g. vesicles, mixed micelles and micelles when delivered orally. Thus, the purpose ofthis study was to formulate threelipid-based delivery systems with curcuminoids –gel like emulsions, nanoemulsions andorganogels, and investigate their impact on in vitro solubilization or bioaccessibility. Curcumin was dissolved in MC T oil with the help of Span 20 to be used as the lipid phase. Gel-like emulsions, nanoemulsions andorganogelswere then formulated using the curcumin-MCT oil lipid phase using different types of sugar esters as organogelators and emulsifiers. The organogels and gel-like emulsions are viscoelastic in naturewith a solid dominant behaviorwhich was supported by the rheological data. Optical and fluorescence microscopic imaging helped understand the morphology ofcurcumin inthe lipidbased delivery systemsas well as the systems themselves. Digital scanning calorimetry was used to study the phase transitionsthat occurin the systems. The bioaccessibilityof the different lipid based delivery systemswas evaluated using in vitrolipolysis experiments (dynamic pH stat lipid digestion model). Results suggest that lipid based delivery systems have more bioaccessibility when compared to that of unformulated curcuminoids. The bioaccessibility of curcumin increased at least 6.4 folds when it was incorporated in a lipid based delivery system as compared to unformulated curcuminoids.O ut of the three systems tested, gel-like emulsions had the highest stability and thus can be good candidate for incorporation and delivery of curcumin.M.S.Includes bibliographical referencesby Kavitakumari H. Solank
Nanotechnology-based approaches for regenerative medicine and biosensing
No full textThe recent emergence of nanotechnology has set high expectations in many fields of science, especially in biology and medicine. Nanotechnology-based approaches are expected to solve key questions in the emerging field of regenerative medicine. Regenerative medicine essentially deals with regeneration of cells, ultimately leading to the formation of tissues and organs. For this purpose, stem cells, embryonic stem cells or adult stem cells, are thought to be ideal resources. However, many challenges need to be addressed before the full therapeutic potential of stem cells can be harnessed. Controlling the differentiation of stem cells into cells of a specific lineage is extremely vital and challenging. Addressing this challenge, in this work, novel nanotechnology-based approaches for controlling the differentiation of neural stem cells (NSCs) into neurons has been presented. Regeneration of damaged neurons, due to traumatic injuries or degenerative diseases, is extremely challenging. For this purpose, NSCs can be used as resources that can differentiate into neurons, thus having great potential in solving needs of many patients suffering from such conditions. For controlling the differentiation of stem cells, soluble cues (comprising of small molecules and biomolecules) and insoluble cues (cell-cell interactions and cell-microenvironment interactions) play a very important role. The delivery of soluble cues, such as genetic material, into stem cells is extremely challenging. The initial part of this work presents the use of nanomaterials for efficiently delivering soluble cues such as small molecules and small interfering RNA (siRNA) into NSCs for controlling their differentiation into neurons. However, for regenerative purposes, it is preferred that least amounts of the delivery vehicle be used. Thus, the following part of the thesis presents the development and applications of nanotechnology-based approaches for enhancing the differentiation of NSCs into neurons using insoluble cues. The cellular microenviroment, consisting for the extracellular matrix (ECM) was modified by the use of nanostructures, to deliver siRNA into NSCs to enhance neuronal differentiation. Nanotopography-mediated reverse uptake of only the siRNA molecules from the ECM was achieved by the NSCs. NSC differentiation was also controlled by the use of protein micropatterns, wherein the pattern geometry and size defined the fate of the NSCs. Lastly, graphene, in combination with nanoparticles was used as component of the ECM to not only enhance the differentiation of NSCs into neurons, but also align the axons of the differentiated NSCs, having significant implications for its use in regenerating injured spinal cords. The final portion of the thesis presents the applications of nanotechnology for developing highly sensitive and selective biosensors, for detecting biomarkers implicated in various diseases such as cancer and acute pancreatitis.Ph. D.Includes bibliographical referencesby Aniruddh P. Solank
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