1,486 research outputs found
Chemical characterization of camelina seed oil:
No full textCamelina sativa (L).Crantz also known as false flax, Dutch flax is an ancient oil seed crop that belongs to the Brassicaceae family. Camelina oil pressed from the seeds of this crop has a unique aroma.
Eighteen camelina oil samples were analyzed for fatty acid composition (13 unrefined, 2 deodorized and 3 refined samples). Eight of these samples were analyzed for unsaponifiables content, free fatty acids and volatiles and semi-volatile compounds. Seven camelina seed samples were analyzed for volatile and semi-volatile compounds as well to determine the suitability of these products in animal feed formulations.
Fatty acid composition was obtained by the trans-esterification of the triacylglycerols in the oil to their methyl esters and 21 different fatty acids with chain length from C-14 to C-24 were identified. The major fatty acids were α-linolenic, linoleic, oleic, eicosenoic and palmitic acid and three fatty acids, namely tricosanoic, pentadecanoic and heptadecanoic are being first reported here.
The unsaponifiables fraction in camelina oil samples ranged between 0.45-0.8% and 21 compounds were identified. The major compounds identified were β-sitosterol, campesterol, cholesterol, phytol, squalene and brassicasterol which accounted for 80-90% of the unsaponifiable content in camelina oil.
A total of 168 and 306 volatile and semi-volatile compounds were identified in the headspace of camelina seeds and oil respectively. Homologous series of lipid oxidation derived compounds like aldehydes, ketones, alcohols, furans and hydrocarbons dominate the aroma and favor profile of the oil and seeds. Sulfur compounds (methyl mercaptan, dimethyl sulfide, dimethyl disulfide and dimethyl trisulfide), naturally occurring 3-alkyl-2-methoxy pyrazines, terpenes, short chain free fatty acids and maillard reaction products were also identified in camelina seeds. The presence of 2-sec-butyl-3-methoxy pyrazine, aldehydes and alcohols (with green notes) and sulfur compounds like 2, 4, 5-trithiahexane and 1-butene-4-isothiocyanato in some camelina oils, may be responsible for the unique aroma of this oil.
The information from this study may potentially be used by camelina oil producers as supporting data for the chemical characteristics of the oil produced in Montana, USA. Camelina oil can serve as a good vegetable source of α-linolenic acid provided it gets the much awaited GRAS certification.M.S.Includes bibliographical references (p. 165-170)by Anusha Sampat
Radiative Transfer with Opacity Distribution Functions: Application to Narrowband Filters
No full textModeling of stellar radiative intensities in various spectral passbands plays an important role in stellar physics. At the same time, direct calculation of the high-resolution spectrum and then integration of it over the given spectral passband is computationally demanding due to the vast number of atomic and molecular lines. This is particularly so when employing three-dimensional (3D) models of stellar atmospheres. To accelerate the calculations, one can employ approximate methods, e.g., the use of opacity distribution functions (ODFs). Generally, ODFs provide a good approximation of traditional spectral synthesis, i.e., computation of intensities through filters with strictly rectangular transmission functions. However, their performance strongly deteriorates when the filter transmission noticeably changes within its passband, which is the case for almost all filters routinely used in stellar physics. In this context, the aims of this paper are (a) to generalize the ODFs method for calculating intensities through filters with arbitrary transmission functions, and (b) to study the performance of the standard and generalized ODFs methods for calculating intensities emergent from 3D models of stellar atmospheres. For this purpose we use the newly developed MPS-ATLAS radiative transfer code to compute intensities emergent from 3D cubes simulated with the radiative magnetohydrodynamics code MURaM. The calculations are performed in the 1.5D regime, i.e., along many parallel rays passing through the simulated cube. We demonstrate that the generalized ODFs method allows accurate and fast syntheses of spectral intensities and their center-to-limb variations
Control of Bacterial Growth: Application of Cinnamaldehyde in Food Systems.
No full textThis Dissertation / Report is the outcome of investigation carried out by the creator(s) / author(s) at the department/division of Central Food Technological Research Institute (CFTRI), Mysore mentioned below in this page
From childhood to nationhood: memory, media and malevolence
No full textThis talk explicates the entangled relationship between childhood and nationhood in the Indian context through the analysis of two key events in modern Indian history. The current right-wing nationalist discourse in India espouses an ethnonationalist identity that relies on a unitary logic of race, religion, land, and language. This logic is founded upon Savarkar’s slogan of “Hindi, Hindu, Hindustan” that valorizes not only the Hindu religion but also the Aryan race, the Hindi language, and the land beyond the river Indus. Children and young people are perceived to be the crucible of this Hindu nation that (supposedly) rightfully belongs to the Hindu Brahmanical Hindi-speaking Aryan male. This presentation aims to show how history, narrativity and performance have been deployed to center the figure of the child as well as real children (and youth) as critical players of the Neo-Hindutva discourse. Through a combination of field evidence, secondary literature and media sources, this poster shows how stories and memories are instrumental in the production and propagation of nationalist discourses to children and young people. The talk expounds different tactics such as distorting history, maneuvering memory and rewriting myths that are deployed within the private spaces of homes, the public spaces of schools and neighborhoods and mediatized spaces of movies, through which children imbibe as well as disseminate the idea of India as a Hindu nation.This work was accepted to the annual Graduate Research and Creative Works Symposium while the author was a graduate student at Rutgers University-Camden
sj-docx-2-msj-10.1177_13524585211051316 – Supplemental material for Depression readmission risk is elevated in multiple sclerosis compared to other chronic illnesses
No full textSupplemental material, sj-docx-2-msj-10.1177_13524585211051316 for Depression readmission risk is elevated in multiple sclerosis compared to other chronic illnesses by Emily M Schorr, Daniel Kurz, Kyle C Rossi, Margaret Zhang, Anusha K Yeshokumar, Nathalie Jette and Mandip S Dhamoon in Multiple Sclerosis Journal</p
Numerical study of tunable band-pass filter made of one dimensional composite periodic structure
No full textDrying of supported catalysts: a reduced parameter model for high concentration nickel-alumina systems
No full textSupported catalysts are widely used in many industries. Manufacturing these catalysts is extremely complex and these processes are influenced by many interdependent parameters. Although their performance and activity are the most critical properties, their structures and design are also critical to their effectiveness. Research work showed how the adsorption of metal on the catalyst support and film breakage could significantly influence metal distributions at lower concentrations. A nickel nitrate hexahydrate-alumina system was studied. It was observed that at higher concentrations, the adsorption parameters were no longer the controlling factor, and solution properties began to take over the metal distribution characteristics. Solution properties like density, viscosity, surface tension and volume ratio of metal begin to take over the metal distribution at these high concentrations. At very high concentrations (about 3.0 M), a uniform metal distribution profile was observed due to the high concentration and low melting point of the metal salt, leading to a molten liquid phase during drying. This model which was based on nickel nitrate hexahydrate, exhibited a good agreement with experimental results. To apply this model to other metal-support systems, a lot of experiments would have to be repeated to determine the metal solution properties as they are unique to different metal-support combinations. In this thesis, we designed and created a simplified model based on the high-concentration nickel nitrate hexahydrate model. This model can be applied to other metals on an Alumina support and can simulate their metal distributions after the drying process. Designing this model involved a detailed analysis of each of the solution based parameters and adsorption parameters considered for nickel nitrate. A reduced parameter model involving fewer parameters was developed and tested using a new metal precursor - cobalt nitrate hexahydrate. Experiments were then performed for cobalt nitrate hexahydrate on alumina supports and their parameters were incorporated into the model. Post drying metal distributions for different concentrations of the metal solutions were generated using this model.M.S.Includes bibliographical referencesby Anusha Vallal Noorithay
sj-docx-1-msj-10.1177_13524585211051316 – Supplemental material for Depression readmission risk is elevated in multiple sclerosis compared to other chronic illnesses
No full textSupplemental material, sj-docx-1-msj-10.1177_13524585211051316 for Depression readmission risk is elevated in multiple sclerosis compared to other chronic illnesses by Emily M Schorr, Daniel Kurz, Kyle C Rossi, Margaret Zhang, Anusha K Yeshokumar, Nathalie Jette and Mandip S Dhamoon in Multiple Sclerosis Journal</p
The impact of ride-hailing services on travel behaviour
No full textThe introduction of Ride- hailing Services into our transport systems has rapidly transformed travel behavior. Ride-hailing services provide multi-modality and fill transit gaps, but they also impact the modal share of other modes such as public transit and car ownership. This study delves into links between ride-hailing services and private vehicles ownership. It also questions the impact of ridesharing services on public transport use and the role neighborhood context plays on the link between ride-hailing and car-ownership. This is studied through a Path Analysis implemented through Structural Equation Modelling (SEM). It describes the relationships the relationship between ‘ride-hailing usage’, ‘public transit usage’, ‘car ownership’, ‘sociodemographic characteristics’, ‘urban form’ and ‘technology dependence’. It factors in Ewing’s sprawl index to represent urban form and takes into consideration the number of years since rideshare was introduced in specific cities as part of calculations.
The primary database for the research is the NHTS 2017 survey. Data compilation is done to establish a dataset of cities with TNCs operating in them and the duration of operation.
The first of the three key questions analyzed in this study is the relationship between public transit and ridesharing. Although the statistical model shows an insignificant covariance, initial findings suggest that ride sharing services complement public transit more in small towns and less in urban areas. The second topic analyzed through this model was the link between ridesharing and car ownership. The model estimates that ride-hailing has a significant and comparatively large impact on car ownership. Due to the bidirectional nature of the model, we were able to study the reverse relationship as well. The model did not show car-ownership having a significant impact on frequency of rideshare use.
The final relationship to be studied was the impact of neighborhood context on the links between car ownership and ride-hailing. It was suggested through a moderation estimation that urban form does play a significant role in impacting the role of rideshare on car ownership. The length of duration since the introduction of TNCs in a city plays an important role on car ownership. The longer TNCs have been around, the smaller the value of car ownership is. Denser Urban forms deepen this relationship while sprawled neighborhoods weaken the correlation.
Based on this research a few areas have been identified as areas with critical data deficiency which are needed to understand and properly manage the ever-changing travel behavior. These areas include the links between city types, public transit and rideshare.Submission published under a 24 month embargo labeled 'U of I Access', the embargo will last until 2021-08-01The student, Anusha Mishra, accepted the attached license on 2019-07-17 at 17:24.The student, Anusha Mishra, submitted this Thesis for approval on 2019-07-18 at 11:07.This Thesis was approved for publication on 2019-07-18 at 16:45.DSpace SAF Submission Ingestion Package generated from Vireo submission #14371 on 2019-11-26 at 13:06:18Made available in DSpace on 2019-11-26T20:49:33Z (GMT). No. of bitstreams: 2
MISHRA-THESIS-2019.pdf: 919660 bytes, checksum: 59d8199aef545f1af3db6671db9cd49d (MD5)
LICENSE.txt: 4210 bytes, checksum: 5caa642b2abeed665edcfefe0ebe9c79 (MD5)
Previous issue date: 2019-07-18Embargo set by: Seth Robbins for item 112983
Lift date: 2021-11-26T20:49:41Z
Reason: Author requested U of Illinois access only (OA after 2yrs) in Vireo ETD systemU of I Only Restriction Lifted for Item 112983 on 2021-11-27T10:15:37Z
Firm-Specific Information and the Efficiency of Investment
No full textWe use a new firm-level dataset to examine the efficiency of investment in emerging economies. In the three-year period following stock market liberalizations, the growth rate of the typical firm's capital stock exceeds its pre-liberalization mean by an average of 5.4 percentage points. Cross-sectional changes in investment are significantly correlated with the signals about fundamentals embedded in the stock price changes that occur upon liberalization. Panel data estimations show that a 1-percentage point increase in a firm's expected future sales growth predicts a 4.1-percentage point increase in its investment; country-specific changes in the cost of capital predict a 2.3-percentage point increase in investment; firm-specific changes in risk premia do not affect investment.
- …
