326 research outputs found
Varshita Venkatesh Written-Word Workshop: A ‘no-income-to-entrepreneur’ sustainable social-entrepreneurship philanthropic construct
Get PDFThe Varshita Venkatesh Written-Word Workshop set up by the author in honour and memory of his wife Varshita,who ascended to her heavenly home in January 2020, can be labelled as a ‘no-income-to-entrepreneur’ socialentrepreneurship construct which knits together a swathe of different stakeholders to the ‘Varshita Venkatesh family ofcharitable funds’, so to say, and uncovers and creates value of different types—economic, social, spiritual, psychologicaland moral. It has a long way to go, in this ‘value-creating’ journey and contribute to sustainable development in its ownhumble wa
Correction to: Visual acuity correlates with multimodal imaging-based categories of central serous chorioretinopathy (Eye, (2021), 10.1038/s41433-021-01788-4)
No full textIn this article the author name Ramesh Venkatesh was incorrectly written as Ramesh Vankatesh. The original article has been corrected
Correction to: Influence of fellow eye on the diagnosis and classification of central serous chorioretinopathy (Graefe's Archive for Clinical and Experimental Ophthalmology, (2021), 10.1007/s00417-021-05435-2)
No full textIn the original published article, one of the author names has been misspelled. “Ramesh Vankatesh” should be “Ramesh Venkatesh” This is being corrected in this publication
Profiling of Soluble Neutral Oligosaccharides from Treated Biomass using Solid Phase Extraction and Liquid Chromatography-Multiplexed Collision Induced Dissociation-Mass Spectrometry
No full textThermochemical pretreatment of cellulosic biomass improves cell wall enzymatic digestibility, while simultaneously releasing substantial amounts of soluble oligosaccharides. Profiling of oligosaccharides released during pretreatment yield information essential for choosing glycosyl hydrolases necessary for cost-effective conversion of cellulosic biomass to desired biofuel/biochemical end-products. In this report we present a methodology for profiling of soluble neutral oligosaccharides released from ammonia fiber expansion (AFEXTM)-pretreated corn stover. Our methodology employs solid phase extraction (SPE) enrichment of oligosaccharides based on porous graphitized carbon (PGC), followed by high performance liquid chromatography (HPLC) separation using a polymeric amine based column (Prevail Carbohydrate ES) and electrospray ionization time-of-flight mass spectrometry (ESI-TOF-MS) in both positive and negative modes. For structural elucidation on the chromatographic time scale, nonselective multiplexed collision-induced dissociation was performed for quasi-simultaneous acquisition of accurate molecular and fragment masses of neutral oligosaccharids in a single analysis. These analyses directly revealed presence of glucans up to degree of polymerization (DP) 22 without side-chain modifications. Additionally, arabinoxylans with DP up to 6 were detected in the pretreated biomass samples (post-enzymatic digestion). All linkages between sugar units in glucans and arabinoxylans were identified to be p-1-4 linkages based on cross-ring fragment masses. Comprehensive profiling of soluble oligosaccharides also demonstrated that arabinoxylan acetylation was reduced by greater than 85% post-AFEXTM treatment.Published version: Vismeh, Ramin, Humpula, James F., Chundawat, Shishir P. S., Balan, Venkatesh, Dale, Bruce E. & Jones, A. Daniel. (2013). Profiling of Soluble Neutral Oligosaccharides from Treated Biomass using Solid Phase Extraction and LC-TOF MS. Carbohydrate Polymers 94(2), 791-799. http://dx.doi.org/10.1016/j.carbpol.2013.02.00
Imagine/Align
No full textImagine/Align is a site-specific, community-based art installation by Susan Skarsgard at the University of Michigan Nichols Arboretum. This project, which bloomed for the first time in April 2004, is a one-half mile long line of 20,000 yellow daffodils traversing the environment, mapping thought and inspiring contemplation on the often arbitrary nature of imposed lines and borders drawn on the earth.Documentarian: Adam Smith; Project author/artis: Susan Skarsgard; Video and Photography: Lisa Spindler, Susan Skarsgard, Theresa Rocha, John Harnois, Joseph Knapp, Wayne Morrical, Jacques Mersereau, Urmila Venkatesh; Music: Toumani Diabate, with Ballake Sissokohttp://deepblue.lib.umich.edu/bitstream/2027.42/62018/1/Imagine-Align_ASmith.mo
Auto DP-SGD: Dual Improvements of Privacy and Accuracy via Automatic Clipping Threshold and Noise Multiplier Estimation
Get PDFDP-SGD has emerged as a popular method to protect personally identifiable
information in deep learning applications. Unfortunately, DP-SGD's per-sample
gradient clipping and uniform noise addition during training can significantly
degrade model utility. To enhance the model's utility, researchers proposed
various adaptive DP-SGD methods. However, we examine and discover that these
techniques result in greater privacy leakage or lower accuracy than the
traditional DP-SGD method, or a lack of evaluation on a complex data set such
as CIFAR100. To address these limitations, we propose an Auto DP-SGD. Our
method automates clipping threshold estimation based on the DL model's gradient
norm and scales the gradients of each training sample without losing gradient
information. This helps to improve the algorithm's utility while using a less
privacy budget. To further improve accuracy, we introduce automatic noise
multiplier decay mechanisms to decrease the noise multiplier after every epoch.
Finally, we develop closed-form mathematical expressions using tCDP accountant
for automatic noise multiplier and automatic clipping threshold estimation.
Through extensive experimentation, we demonstrate that Auto DP-SGD outperforms
existing SOTA DP-SGD methods in privacy and accuracy on various benchmark
datasets. We also show that privacy can be improved by lowering the scale
factor and using learning rate schedulers without significantly reducing
accuracy. Specifically, Auto DP-SGD, when used with a step noise multiplier,
improves accuracy by 3.20, 1.57, 6.73, and 1.42 for the MNIST, CIFAR10,
CIFAR100, and AG News Corpus datasets, respectively. Furthermore, it obtains a
substantial reduction in the privacy budget of 94.9, 79.16, 67.36, and 53.37
for the corresponding data sets.Comment: 25 pages single column, 2 figure
Probing the nature of AFEX-pretreated corn stover derived decomposition products that inhibit cellulase activity
No full textSequential fractionation of AFEX-pretreated corn stover extracts was carried out using ultra-centrifugation, ultra-filtration, and solid phase extraction to isolate various classes of pretreatment products to evaluate their inhibitory effect on cellulases. Ultra-centrifugation removed dark brown precipitates that caused no appreciable enzyme inhibition. Ultra-filtration of ultra-centrifuged AFEX-pretreated corn stover extractives using a 10 kDa molecular weight cutoff (MWCO) membrane removed additional high molecular weight components that accounted for 24–28% of the total observed enzyme inhibition while a 3 kDa MWCO membrane removed 60–65%, suggesting significant inhibition is caused by oligomeric materials. Solid phase extraction (SPE) of AFEX-pretreated corn stover extractives after ultra-centrifugation removed 34–43% of the inhibition; ultra-filtration with a 5 kDa membrane removed 44–56% of the inhibition and when this ultra-filtrate was subjected to SPE a total of 69–70% of the inhibition were removed. Mass spectrometry found several phenolic compounds among the hydrophobic inhibition removed by SPE adsorption.Published version: Humpula, James F., Uppugundla, Nirmal, Vismeh, Ramin, Sousa, Leonardo, Chundawat, Shishir P. S., Jones, A. Daniel, Balan, Venkatesh, Dale, Bruce E. & Cheh, Albert M. (2014). Probing the nature of AFEX-retreated corn stover derived decomposition products that inhibit cellulase activity. Bioresource Technology 152, 38-45. http://dx.doi.org/10.1016/j.biortech.2013.10.08
Computations in Symmetric Fusion Categories in Characteristic
Get PDFWe study properties of symmetric fusion categories in characteristic p. In particular, we introduce the notion of a super Frobenius-Perron dimension of an object X of such a category and derive an explicit formula for the Verlinde fiber functor F(X) of X (defined by the 2nd author) in terms of the usual and super Frobenius-Perron dimensions of X. We also compute the decomposition of symmetric powers of objects of the Verlinde category, generalizing a classical formula of Cayley and Sylvester for invariants of binary forms. Finally, we show that the Verlinde fiber functor is unique and classify braided fusion categories of rank 2 and triangular semisimple Hopf algebras in any characteristic
Isolation and Charecterization of Fructosyl Arginine from Aged Garlic Extract
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
Isolation of Low Molecular weight Fructans from Aged Garlic Extract
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
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