Search Results - "Miriyala, S"

Redox proteomic identification of HNE-bound mitochondrial proteins in cardiac tissues reveals a systemic effect on energy metabolism after doxorubicin treatment by Zhao, Y., Miriyala, S., Miao, L., Mitov, M., Schnell, D., Dhar, S.K., Cai, J., Klein, J.B., Sultana, R., Butterfield, D.A., Vore, M., Batinic-Haberle, I., Bondada, S., St. Clair, D.K.

“…Doxorubicin (DOX), one of the most effective anticancer drugs, is known to generate progressive cardiac damage, which is due, in part, to DOX-induced reactive…”
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Doxorubicin-induced central nervous system toxicity and protection by xanthone derivative of Garcinia Mangostana by Tangpong, J, Miriyala, S, Noel, T, Sinthupibulyakit, C, Jungsuwadee, P, St. Clair, D.K

“…Abstract Doxorubicin (Dox) is a potent, broad-spectrum chemotherapeutic drug used around the world. Despite its effectiveness, it has a wide range of toxic…”
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Manganese superoxide dismutase deficiency triggers mitochondrial uncoupling and the Warburg effect by Xu, Y, Miriyala, S, Fang, F, Bakthavatchalu, V, Noel, T, Schell, D M, Wang, C, St Clair, W H, St Clair, D K

“…Manganese superoxide dismutase (MnSOD) is a mitochondrially localized primary antioxidant enzyme, known to be essential for the survival of aerobic life and to…”
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Manganese superoxide dismutase deficiency triggers mitochondrial uncoupling and the Warburg effect by Xu, Y, Miriyala, S, Fang, F, Bakthavatchalu, V, Noel, T, Schnell, D M, Wang, C, St Clair, W H, St Clair, D K

“…This corrects the article DOI: 10.1038/onc.2014.355…”
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Regulation of blood and vascular cell function by bioactive lysophospholipids by MORRIS, A. J., PANCHATCHARAM, M., CHENG, H. Y., FEDERICO, L., FULKERSON, Z., SELIM, S., MIRIYALA, S., ESCALANTE‐ALCALDE, D., SMYTH, S. S.

“…Lysophosphatidic acid (LPA), its sphingolipid homolog sphingosine 1‐phosphate (S1P) and several other related molecules constitute a family of bioactive lipid…”
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AP39, a Mitochondrial-Targeted Hydrogen Sulfide Donor, Protects Against Mitochondrial Dysfunction in Irradiated Mouse Retinal Endothelial Cells by Xiao, A.Y., Brummett, A., Maynard, M., Pidikiti, R., Miriyala, S., Panchatcharam, M., Sheibani, N., Wood, M.E., Whiteman, M., Harrison, L.

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A Generative Adversarial Networks based Modelling for Efficient Design of Wind Energy Conversion Systems by Pujari, Keerthi N., Miriyala, Srinivas S., Mitra, Kishalay

“…Climate change and global energy crisis are two primary drivers behind the search of several forms of renewable energy sources e.g., wind energy. In studies of…”
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A Deep Unsupervised Learning Algorithm for Clustering of Wind Frequency Maps by Pantula, Priyanka D., Miriyala, Srinivas S., Mitra, Kishalay

“…Wind energy is now the world's second-fastest-growing electricity source. The power output of the wind farm depends on wind characteristics like wind speed and…”
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Erratum: Manganese superoxide dismutase deficiency triggers mitochondrial uncoupling and the Warburg effect by Xu, Y, Miriyala, S, Fang, F, Bakthavatchalu, V, Noel, T, Schnell, D M, Wang, C, St Clair, W H, St Clair, D K

“…Correction to: Oncogene (2015) 34, 4229–4237; doi:10.1038/onc.2014.355; published online 3 November 2014 Since the online publication of the above article, it…”
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Optimal Control using Evolutionary Algorithms through Neural network based TRANSFORMation by Miriyala, Srinivas S, Mitra, Kishalay

“…Conventional direct methods of solving Optimal Control (OC) problems lead to large scale optimization formulations, making the classical optimization solvers…”
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A Deep Unsupervised Learning Algorithm for Dynamic Data Clustering by Pantula, Priyanka D., Miriyala, Srinivas S., Mitra, Kishalay

“…Owing to the generation of vast amount of unlabelled dynamic data and the need to analyze them, deep unsupervised learning based clustering algorithms are…”
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Smart Data Analytics approach to model Complex Biochemical Oscillations in Hippocampal Neurons by Miriyala, Srinivas S., Pantula, Priyanka D., Giri, Lopamudra, Mitra, Kishalay

“…Calcium spiking can be used for drug screening studies in pharmaceutical industries. However, performing experiments for multiple drugs and doses are highly…”
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Synchronicity Identification in Hippocampal Neurons using Artificial Neural Network assisted Fuzzy C-means Clustering by Pantula, Priyanka D, Miriyala, Srinivas S, Giri, Lopamudra, Mitra, Kishalay

“…Neural synchronicity plays a vital role in monitoring the functions that are cognitive. Any disturbance identified in the neural synchrony might lead to a…”
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An Evolutionary Neuro-Fuzzy C-means Clustering Technique by Pantula, Priyanka D., Miriyala, Srinivas S., Mitra, Kishalay

“…One of the standard approaches for data analysis in unsupervised machine learning techniques is cluster analysis or clustering, where the data possessing…”
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Automation of Synchronicity Identification in Hippocampal Neurons through Intelligent Data Clustering Approach by Pantula, Priyanka D., Miriyala, Srinivas S., Swain, Sarpras, Giri, Lopamudra, Mitra, Kishalay

“…Neuronal synchronicity is central in controlling the cognitive functions and disruption in neuronal synchronicity may lead to diseased state. Since the neurons…”
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Edge Deployable Distributed Evolutionary Optimization based Calibration method for Neural Quantization by Tiwari, Utsav, Miriyala, Srinivas S, Rajendiran, Vikram N

“…Accuracy drop in neural quantization is addressed in prior-art through Post Training Quantization (PTQ) schemes such as Percentile and Range-based calibration…”
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Mixed Precision Neural Quantization with Multi-Objective Bayesian Optimization for on-Device Deployment by Miriyala, Srinivas S, Suhas, P K, Tiwari, Utsav, Rajendiran, Vikram N

“…Mixed-precision quantization has emerged as a solution in recent times for accurate inference of Deep Neural Networks on edge. However the prior-art is far…”
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The role of continuous vs. terminal visual cues in the acquisition of a whole body perceptuo-motor coordination task by Miriyala Radhakrishn, S., Hatzitaki, V.

“…Abstract only…”
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Switchbox Steiner tree problem in presence of obstacles by Miriyala, S, Hashmi, J, Sherwani, N

“…The authors consider a problem related to global routing of multiterminal nets in VLSI layout. They investigate the problem of finding the minimum Steiner tree…”
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Multi-objective optimal control of biochemical processes using genetic algorithms through ANN assisted reformulation by Miriyala, Srinivas S., Mitra, Kishalay

“…The practical optimal control problems often contain multiple conflicting objectives leading to a set of decision vectors called Pareto Optimal solutions…”
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