826 research outputs found
A Bayesian latent variable approach to aggregation of partial and top‐ranked lists in genomic studies
No full textFull text access from Treasures at UT Dallas is restricted to current UTD affiliates (use the provided link to the article). Non UTD affiliates will find the web address for this item by clicking the Show full item record link and copying the "relation.uri" metadata.In genomic research, it is becoming increasingly popular to perform meta-analysis, the practice of combining results from multiple studies that target a common essential biological problem. Rank aggregation, a robust meta-analytic approach, consolidates such studies at the rank level. There exists extensive research on this topic, and various methods have been developed in the past. However, these methods have two major limitations when they are applied in the genomic context. First, they are mainly designed to work with full lists, whereas partial and/or top-ranked lists prevail in genomic studies. Second, the component studies are often clustered, and the existing methods fail to utilize such information. To address the above concerns, a Bayesian latent variable approach, called BiG, is proposed to formally deal with partial and top-ranked lists and incorporate the effect of clustering. Various reasonable prior specifications for variance parameters in hierarchical models are carefully studied and compared. Simulation results demonstrate the superior performance of BiG compared with other popular rank aggregation methods under various practical settings. A non–small-cell lung cancer data example is analyzed for illustration.NIH. Grant Number: R15GM113157School of Natural Sciences and Mathematic
Environmental toxicity, redox signaling and lung inflammation:the role of glutathione
Get PDFGlutathione (gamma-glutamyl-cysteinyl-glycine, GSH) is the most abundant intracellular antioxidant thiol and is central to redox defense during oxidative stress. GSH metabolism is tightly regulated and has been implicated in redox signaling and also in protection against environmental oxidant-mediated injury. Changes in the ratio of the reduced and disulfide form (GSH/GSSG) can affect signaling pathways that participate in a broad array of physiological responses from cell proliferation, autophagy and apoptosis to gene expression that involve H(2)O(2) as a second messenger. Oxidative stress due to oxidant/antioxidant imbalance and also due to environmental oxidants is an important component during inflammation and respiratory diseases such as chronic obstructive pulmonary disease, idiopathic pulmonary fibrosis, acute respiratory distress syndrome, and asthma. It is known to activate multiple stress kinase pathways and redox-sensitive transcription factors such as Nrf2, NF-kappaB and AP-1, which differentially regulate the genes for pro-inflammatory cytokines as well as the protective antioxidant genes. Understanding the regulatory mechanisms for the induction of antioxidants, such as GSH, versus pro-inflammatory mediators at sites of oxidant-directed injuries may allow for the development of novel therapies which will allow pharmacological manipulation of GSH synthesis during inflammation and oxidative injury. This article features the current knowledge about the role of GSH in redox signaling, GSH biosynthesis and particularly the regulation of transcription factor Nrf2 by GSH and downstream signaling during oxidative stress and inflammation in various pulmonary diseases. We also discussed the current therapeutic clinical trials using GSH and other thiol compounds, such as N-acetyl-l-cysteine, fudosteine, carbocysteine, erdosteine in environment-induced airways disease
Fragmented Huffman-Based Compression Methodology for CNN Targeting Resource-Constrained Edge Devices
No full textIn this paper, we introduce a fragmented Huffman compression methodology for compressing convolution neural networks executing on edge devices. Present scenario demands deployment of deep networks on edge devices, since application needs to adhere to low latency, enhanced security and long-term cost effectiveness. However, the primary bottleneck lies in the expanded memory footprint on account of the large size of the neural net models. Existing software implementation of deep compression strategies do exist, where Huffman compression is applied on the quantized weights, reducing the deep neural network model size. However, there is a further possibility of compression in memory footprint from a hardware design perspective in edge devices, where our proposed methodology can be complementary to the existing strategies. With this motivation, we proposed a fragmented Huffman coding methodology, that can be applied to the binary equivalent of the numeric weights of a neural network model stored in device memory. Subsequently, we also introduced the static and dynamic storage methodology on device memory space which is left behind even after storing the compressed file, that led to a big reduction in area and energy consumption of approximately 38% in case of dynamic storage methodology in comparison with static one. To the best of our knowledge, this is the first study where Huffman compression technique has been revisited by applying it to compress binary files, from a hardware design perspective, based on multiple bit pattern sequences, to achieve a maximum compression rate of 64%. A compressed hardware memory architecture and a decompression module design has also been undertaken, being synthesized at 500 MHz, using GF 40-nm low-power cell library with a nominal voltage of 1.1 V achieving a reduction of 62% dynamic power consumption with a decompression time of about 63 microseconds (μ s) without trading-off accuracy. © 2022, The Author(s), under exclusive licence to Springer Science+Business Media, LLC, part of Springer Nature
Biswas-Milovic model and its optical solitons
No full textInternational Conference on Numerical Analysis and Applied Mathematics 2018, ICNAAM 2018 -- 13 September 2018 through 18 September 2018 -- -- 149843In this work, optical solitons are obtained for the Biswas - Milovic equation as a generalized model via the extended generalizing Riccati mapping method. This method reveals several optical solitons including traveling wave solutions. The found solutions are identified with two different forms including the hyperbolic functions, the rational functions and the trigonometric functions. Reliability of our solution is given graphical consequens. © 2019 Author(s)
On connections on principal bundles
No full textAbstractA new construction of a universal connection was given in Biswas, Hurtubise and Stasheff (2012). The main aim here is to explain this construction. A theorem of Atiyah and Weil says that a holomorphic vector bundle E over a compact Riemann surface admits a holomorphic connection if and only if the degree of every direct summand of E is zero. In Azad and Biswas (2002), this criterion was generalized to principal bundles on compact Riemann surfaces. This criterion for principal bundles is also explained
IN VITRO EVALUATION OF A DIET SUPPLEMENTED WITH Mn ON NUTRIENT DIGESTIBILITY AND RUMEN FERMENTATION PATTERN IN CATTLE
No full textAn experiment was conducted in 3 male rumen fistulated cattle fed on rice straw and concentrate based total diet to study the effects of supplementation of Manganese (Mn) from inorganic source (manganese sulphate) on in vitro dry matter (DM), organic matter (OM) & neutral detergent fibre (NDF) digestibility (%) &
in vitro ammonia nitrogen (NH3-N) & total volatile fatty acid (VFA) production. These animals were offered total diet supplemented with 0 ppm Mn (T0) and 24 ppm Mn (T1) as per NRC, 2001 from inorganic source like manganese sulphate. After 21 days of feeding, rumen liquor samples were drawn at different time intervals (24 hour & 48 hour) to study the digestibility of DM, OM & NDF. For estimation of in vitro ammonia nitrogen (NH3-N) &
total volatile fatty acid (TVFA) concentration each sample were incubated for 2 hour, 4 hour, 12 hour, 24 hour & 48 hour interval. This study inferred that supplementation of Mn through feed can improve the digestibility and rumen fermentation pattern and there will be more utilization of nutrient (crude protein, ether extract, organic matter). Trace mineral like Mn at per NRC (2001) recommendation was found more effective for the purpose than
without supplementation in a diet
Fragmented Huffman-Based Compression Methodology for CNN Targeting Resource-Constrained Edge Devices
No full textAuthors would like to acknowledge the support extended by the Defence Research and Development Organization, Ministry of Defence, Government of India with the Grant reference: ERIPR/ER/202009001/M/01/1781 dated 8 February 2021 for the research project entitled "Reconfigurable Machine Learning Accelerator Design and Development for Avionics Applications." Authors would also like to acknowledge the support received by the Ministry of the Electronics and Information Technology (MEITY), Government of India toward the usage of the CAD tools as part of the Special Manpower Development (SMDP) program. The authors would also like to thank Ceremorphic Technologies Private Limited for funding and extending the tool support for carrying out few experiments
Modified Huffman based compression methodology for Deep Network Implementation on Resource Constrained Mobile Platforms
No full textSatellite-retrieved direct radiative forcing of aerosols over North-East India and adjoining areas: climatology and impact assessment
No full textThe article by J. Biswas et al. contained an update in affiliation of author Binita Pathak. The author would like to add another affiliation to her name. Her updated affiliations are the following
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