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Author

Gaurav Sharma

Other affiliations: Northeastern University, D. E. Shaw & Co., Hewlett-Packard  ...read more
Bio: Gaurav Sharma is an academic researcher from Shenzhen University. The author has contributed to research in topics: Medicine & Photocatalysis. The author has an hindex of 82, co-authored 1244 publications receiving 31482 citations. Previous affiliations of Gaurav Sharma include Northeastern University & D. E. Shaw & Co..


Papers
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TL;DR: In this article, a novel solar active heterojunction was used for the degradation and mineralization of anti-inflammatory drug Diclofenac (DCF) as target pollutant under simulated solar-light irradiation.

29 citations

Journal ArticleDOI
TL;DR: In this paper, a generative adversarial network (GAN)-based deep learning approach for road segmentation from high-resolution aerial imagery is proposed, which uses a modified UNet model to obtain a high resolution segmentation map of the road network.
Abstract: Road network extraction from remotely sensed imagery has become a powerful tool for updating geospatial databases, owing to the success of convolutional neural network (CNN) based deep learning semantic segmentation techniques combined with the high-resolution imagery that modern remote sensing provides. However, most CNN approaches cannot obtain high precision segmentation maps with rich details when processing high-resolution remote sensing imagery. In this study, we propose a generative adversarial network (GAN)-based deep learning approach for road segmentation from high-resolution aerial imagery. In the generative part of the presented GAN approach, we use a modified UNet model (MUNet) to obtain a high-resolution segmentation map of the road network. In combination with simple pre-processing comprising edge-preserving filtering, the proposed approach offers a significant improvement in road network segmentation compared with prior approaches. In experiments conducted on the Massachusetts road image dataset, the proposed approach achieves 91.54% precision and 92.92% recall, which correspond to a Mathews correlation coefficient (MCC) of 91.13%, a Mean intersection over union (MIOU) of 87.43% and a F1-score of 92.20%. Comparisons demonstrate that the proposed GAN framework outperforms prior CNN-based approaches and is particularly effective in preserving edge information.

29 citations

Journal ArticleDOI
TL;DR: A novel two-dimensional color correction architecture is proposed that enables much greater control over the device color gamut with a modest increase in implementation cost and results show significant improvement in calibration accuracy and stability when compared to traditional 1-D calibration.
Abstract: Color device calibration is traditionally performed using one-dimensional (1-D) per-channel tone-response corrections (TRCs). While 1-D TRCs are attractive in view of their low implementation complexity and efficient real-time processing of color images, their use severely restricts the degree of control that can be exercised along various device axes. A typical example is that per separation (or per-channel), TRCs in a printer can be used to either ensure gray balance along the C=M=Y axis or to provide a linear response in delta-E units along each of the individual (C, M, and Y) axis, but not both. This paper proposes a novel two-dimensional color correction architecture that enables much greater control over the device color gamut with a modest increase in implementation cost. Results show significant improvement in calibration accuracy and stability when compared to traditional 1-D calibration. Superior cost quality tradeoffs (over 1-D methods) are also achieved for emulation of one color device on another.

28 citations

Journal ArticleDOI
TL;DR: Evidence is provided that bidirectional interactions between melanoma and CAFs regulate progression of metastatic melanoma, and melanoma cells showed increased invasion when co‐cultured with CAFs.
Abstract: Tumor-stroma interactions are critical for epithelial-derived tumors, and among the stromal cell types, cancer-associated fibroblasts (CAFs) exhibit multiple functions that fuel growth, dissemination, and drug resistance. However, these interactions remain insufficiently characterized in non-epithelial tumors such as malignant melanoma. We generated monocultures of melanoma cells and matching CAFs from patients' metastatic lesions, distinguished by oncogenic drivers and immunoblotting of characteristic markers. RNA sequencing of CAFs revealed a homogenous epigenetic program that strongly resembled the signatures from epithelial cancers, including enrichment for an epithelial-to-mesenchymal transition (EMT). Melanoma CAFs in monoculture displayed robust invasive behavior while patient-derived melanoma monocultures showed very little invasiveness. Instead, melanoma cells showed increased invasion when co-cultured with CAFs. In turn, CAFs showed increased proliferation when exposed to melanoma conditioned media (CM), mediated in part by melanoma-secreted transforming growth factor-alpha that acted on CAFs via the epidermal growth factor receptor. This study provides evidence that bidirectional interactions between melanoma and CAFs regulate progression of metastatic melanoma.

28 citations

Journal ArticleDOI
TL;DR: The performance of single burst-error-correcting (BEC) codes used over bursty channels is evaluated using the Gilbert-Elliott model and recursive expressions are derived, which are used in evaluating the probability of a codeword error.
Abstract: The performance of single burst-error-correcting (BEC) codes used over bursty channels is evaluated. The channel is represented by the Gilbert-Elliott (1960, 1963) model, which has been used by numerous authors to evaluate the performance of random-error-correcting (REC) codes over bursty channels. Recursive expressions are derived, which are used in evaluating the probability of a codeword error. These expressions and an approximate closed-form expression are applied to the performance of a single (23,12) BEC code.

28 citations


Cited by
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[...]

08 Dec 2001-BMJ
TL;DR: There is, I think, something ethereal about i —the square root of minus one, which seems an odd beast at that time—an intruder hovering on the edge of reality.
Abstract: There is, I think, something ethereal about i —the square root of minus one. I remember first hearing about it at school. It seemed an odd beast at that time—an intruder hovering on the edge of reality. Usually familiarity dulls this sense of the bizarre, but in the case of i it was the reverse: over the years the sense of its surreal nature intensified. It seemed that it was impossible to write mathematics that described the real world in …

33,785 citations

01 Jun 2012
TL;DR: SPAdes as mentioned in this paper is a new assembler for both single-cell and standard (multicell) assembly, and demonstrate that it improves on the recently released E+V-SC assembler and on popular assemblers Velvet and SoapDeNovo (for multicell data).
Abstract: The lion's share of bacteria in various environments cannot be cloned in the laboratory and thus cannot be sequenced using existing technologies. A major goal of single-cell genomics is to complement gene-centric metagenomic data with whole-genome assemblies of uncultivated organisms. Assembly of single-cell data is challenging because of highly non-uniform read coverage as well as elevated levels of sequencing errors and chimeric reads. We describe SPAdes, a new assembler for both single-cell and standard (multicell) assembly, and demonstrate that it improves on the recently released E+V-SC assembler (specialized for single-cell data) and on popular assemblers Velvet and SoapDeNovo (for multicell data). SPAdes generates single-cell assemblies, providing information about genomes of uncultivatable bacteria that vastly exceeds what may be obtained via traditional metagenomics studies. SPAdes is available online ( http://bioinf.spbau.ru/spades ). It is distributed as open source software.

10,124 citations

Journal ArticleDOI

7,335 citations

Journal ArticleDOI

6,278 citations