Molecular biomarkers: their significance and application in marine pollution monitoring
This paper presents an overview of the significance of the use of molecular biomarkers as
diagnostic and prognostic tools for marine pollution monitoring. In order to assess the impact …
diagnostic and prognostic tools for marine pollution monitoring. In order to assess the impact …
[HTML][HTML] Cervical cancer screening in rural India: Status & current concepts
AN Srivastava, JS Misra, S Srivastava… - Indian Journal of …, 2018 - journals.lww.com
Cervical carcinoma is one of the most common and dreaded diseases of women, and in India,
it accounts for 16 per cent of total cervical cancer cases occurring globally. The situation is …
it accounts for 16 per cent of total cervical cancer cases occurring globally. The situation is …
[PDF][PDF] Physico-pathologic mechanisms involved in neurodegeneration: misfolded protein-plasma membrane interactions
Several neurodegenerative disorders, such as Alzheimer's and Parkinson's disease, are
characterized by prominent loss of synapses and neurons associated with the presence of …
characterized by prominent loss of synapses and neurons associated with the presence of …
α‐synuclein assemblies sequester neuronal α3‐Na+/K+‐ATPase and impair Na+ gradient
AN Shrivastava, V Redeker, N Fritz, L Pieri… - The EMBO …, 2015 - embopress.org
Extracellular α‐synuclein (α‐syn) assemblies can be up‐taken by neurons; however, their
interaction with the plasma membrane and proteins has not been studied specifically. Here we …
interaction with the plasma membrane and proteins has not been studied specifically. Here we …
Training region-based object detectors with online hard example mining
The field of object detection has made significant advances riding on the wave of region-based
ConvNets, but their training procedure still includes many heuristics and …
ConvNets, but their training procedure still includes many heuristics and …
Revisiting unreasonable effectiveness of data in deep learning era
The success of deep learning in vision can be attributed to:(a) models with high capacity;(b)
increased computational power; and (c) availability of large-scale labeled data. Since 2012, …
increased computational power; and (c) availability of large-scale labeled data. Since 2012, …
[PDF][PDF] Methods for the determination of limit of detection and limit of quantitation of the analytical methods
A Shrivastava, VB Gupta - Chron. Young Sci, 2011 - researchgate.net
The quality of an analytical method developed is always appraised in terms of suitability for
its intended purpose, recovery, requirement for standardization, sensitivity, analyte stability, …
its intended purpose, recovery, requirement for standardization, sensitivity, analyte stability, …
Learning from simulated and unsupervised images through adversarial training
With recent progress in graphics, it has become more tractable to train models on synthetic
images, potentially avoiding the need for expensive annotations. However, learning from …
images, potentially avoiding the need for expensive annotations. However, learning from …
Is diabetes mellitus associated with mortality and severity of COVID-19? A meta-analysis
…, N Bansal, V Singla, S Khare, A Srivastava - Diabetes & Metabolic …, 2020 - Elsevier
Background Many studies on COVID-19 have reported diabetes to be associated with
severe disease and mortality, however, the data is conflicting. The objectives of this meta-analysis …
severe disease and mortality, however, the data is conflicting. The objectives of this meta-analysis …
Cross-stitch networks for multi-task learning
Multi-task learning in Convolutional Networks has displayed remarkable success in the field
of recognition. This success can be largely attributed to learning shared representations …
of recognition. This success can be largely attributed to learning shared representations …