Search

Your search keyword '"MITRA, Debasis"' showing total 932 results
Start Over Author "MITRA, Debasis"
932 results on '"MITRA, Debasis"'

1. Study of ion induced Inner Shell Ionization cross section through electron capture mechanism

Author

Ghosh, Sumana, Mitra, Debasis, and Chatterjee, Soumya

Subjects
Physics - Atomic Physics, Condensed Matter - Other Condensed Matter
Abstract

Electron Capture (EC) cross-section from K, L and M shells of the target atoms to the vacant K, L and M shells of the projectile ions have been calculated by deriving the accurate momentum transfer to the captured electrons for different charge states. Several correction factors like polarization correction, relativistic effects (R) of the target wave function, Coulomb-deflection factor (C) due to the effect of the repulsion between the projectile and the target nucleus, correction for projectile energy loss have been introduced. The mean charge state of the projectiles inside the target material has been estimated using suitable empirical models and the fractional charge state distribution has been calculated considering Lorentz distribution. Fractional distribution of charge state of the projectile ions is used to obtain the charge state contributions of the electron capture cross-sections. The effect of Simultaneous Multiple Ionization (SMI) has been considered in the theory of Direct Coulomb Ionization (DCI). The theoretically obtained total cross-sections have been compared with the experimental findings obtained from various literature. The computation scheme has been depicted through sample calculations of ionization cross-sections through electron capture mechanism.

Published
2024

6. Estimating molecular properties, drug-likeness, cardiotoxic risk, liability profile, and molecular docking study to characterize binding process of key phyto-compounds against serotonin 5-HT2A receptor

Author

Bensaad Mohamed Sabri, Verma Devvret, Mitra Debasis, Helal Mahmoud, Banjer Hamsa Jameel, Shami Ashjan A., Sami Rokayya, Moawadh Mamdoh S., Alharbi Zeyad M., Waggas Dania S., Baakdah Fadi, and AlHarthi Siraj B.

Subjects
cardiotoxicity, liability profile, molecular docking, serotonin 5-ht2a receptor, phyto-compounds, drug-likeness, Chemistry, QD1-999
Abstract

Nowadays, the physiopathological and molecular mechanisms of multiple diseases have been identified, thus helping scientists to provide a clear answer, especially to those ambiguities related to chronic illnesses. This has been accomplished in part through the contribution of a key discipline known as bioinformatics. In this study, the bioinformatics approach was applied on four compounds identified in Centaurea tougourensis, using two axes of research: an in silico study to predict the molecular characteristics, medicinal chemistry attributes as well as the possible cardiotoxicity and adverse liability profile of these compounds. In this context, four compounds were selected and named, respectively, 2,5-monoformal-l-rhamnitol (compound 1), cholest-7-en-3.beta.,5.alpha.-diol-6.alpha.-benzoate (compound 2), 7,8-epoxylanostan-11-ol, 3-acetoxy- (compound 3), and 1H-pyrrole-2,5-dione, 3-ethyl-4-methyl- (compound 4). The second part looked into molecular docking, which objective was to evaluate the possible binding affinity between these compounds and the serotonin 5-hydroxytryptamine 2A (5-HT2A) receptor. Results indicated that compounds 1 and 4 were respecting Pfizer and giant Glaxo-SmithKline rules, while compounds 2 and 3 exhibited an optimal medicinal chemistry evolution 18 score. The structural and molecular features of almost all tested compounds could be considered optimal, indicating that these phyto-compounds may possess drug-likeness capacity. However, only compounds 1 and 4 could be considered non-cardiotoxic, but with a level of confidence more pronounced for compound 1 (80%). In addition, these four biocompounds could preferentially interact with G protein-coupled receptor, ion channel, transporters, and nuclear receptors. However, the heat map was less pronounced for compound 2. Data also indicated that these four compounds could possibly interact with serotonin 5-HT2A receptor, but in an antagonistic way. This research proved once again that plants could be crucial precursors of pharmaceutical substances, which could be helpful to enrich the international pharmacopoeia.

Published
2024
Full Text
View/download PDF

9. BliMSR: Blind Degradation Modelling for Generating High-Resolution Medical Images

Author

Dey, Samiran, Basuchowdhuri, Partha, Mitra, Debasis, Augustine, Robin, Saha, Sanjoy Kumar, Chakraborti, Tapabrata, Goos, Gerhard, Founding Editor, Hartmanis, Juris, Founding Editor, Bertino, Elisa, Editorial Board Member, Gao, Wen, Editorial Board Member, Steffen, Bernhard, Editorial Board Member, Yung, Moti, Editorial Board Member, Waiter, Gordon, editor, Lambrou, Tryphon, editor, Leontidis, Georgios, editor, Oren, Nir, editor, Morris, Teresa, editor, and Gordon, Sharon, editor

Published
2024
Full Text
View/download PDF

10. $JetCurry$ I. Reconstructing Three-Dimensional Jet Geometry from Two-Dimensional Images

Author

Sawant, Sailee M., Kosak, Katie, Li, Kunyang, Avachat, Sayali S., Perlman, Eric S., and Mitra, Debasis

Subjects
Astrophysics - High Energy Astrophysical Phenomena
Abstract

We present a three-dimensional (3-D) visualization of jet geometry using numerical methods based on a Markov Chain Monte Carlo (MCMC) and limited memory Broyden-Fletcher-Goldfarb-Shanno (BFGS) optimized algorithm. Our aim is to visualize the 3-D geometry of an active galactic nucleus (AGN) jet using observations, which are inherently two-dimensional (2-D) images. Many AGN jets display complex structures that include hotspots and bends. The structure of these bends in the jet's frame may appear quite different than what we see in the sky frame, where it is transformed by our particular viewing geometry. The knowledge of the intrinsic structure will be helpful in understanding the appearance of the magnetic field and hence emission and particle acceleration processes over the length of the jet. We present the $JetCurry$ algorithm to visualize the jet's 3-D geometry from its 2-D image. We discuss the underlying geometrical framework and outline the method used to decompose the 2-D image. We report the results of our 3-D visualization of the jet of M87, using the test case of the knot D region. Our 3-D visualization is broadly consistent with the expected double helical magnetic field structure of the knot D region of the jet. We also discuss the next steps in the development of the $JetCurry$ algorithm., Comment: arXiv admin note: substantial text overlap with arXiv:1702.00534

Published
2022
Full Text
View/download PDF

11. Economics and Optimal Investment Policies of Attackers and Defenders in Cybersecurity

Author

Ebel, Austin and Mitra, Debasis

Subjects
Computer Science - Cryptography and Security, Economics - Theoretical Economics, K.6.0, K.6.5, H.1.1
Abstract

In our time cybersecurity has grown to be a topic of massive proportion at the national and enterprise levels. Our thesis is that the economic perspective and investment decision-making are vital factors in determining the outcome of the struggle. To build our economic framework, we borrow from the pioneering work of Gordon and Loeb in which the Defender optimally trades-off investments for lower likelihood of its system breach. Our two-sided model additionally has an Attacker, assumed to be rational and also guided by economic considerations in its decision-making, to which the Defender responds. Our model is a simplified adaptation of a model proposed during the Cold War for weapons deployment in the US. Our model may also be viewed as a Stackelberg game and, from an analytic perspective, as a Max-Min problem, the analysis of which is known to have to contend with discontinuous behavior. The complexity of our simple model is rooted in its inherent nonlinearity and, more consequentially, non-convexity of the objective function in the optimization. The possibilities of the Attacker's actions add substantially to the risk to the Defender, and the Defender's rational, risk-neutral optimal investments in general substantially exceed the optimal investments predicted by the one-sided Gordon-Loeb model. We obtain a succinct set of three decision types that categorize all of the Defender's optimal investment decisions. Also, the Defender's optimal decisions exhibit discontinuous behavior as the initial vulnerability of its system is varied. The analysis is supplemented by extensive numerical illustrations. The results from our model open several major avenues for future work., Comment: 27 pages, 13 figures

Published
2022

15. Incorporating Radiomics into Machine Learning Models to Predict Outcomes of Neuroblastoma

Author

Liu, Gengbo, Poon, Mini, Zapala, Matthew A, Temple, William C, Vo, Kieuhoa T, Matthay, Kathrine K, Mitra, Debasis, and Seo, Youngho

Subjects
Biomedical and Clinical Sciences, Clinical Sciences, Neurosciences, Biomedical Imaging, Bioengineering, Rare Diseases, Neuroblastoma, Cancer, Machine Learning and Artificial Intelligence, Networking and Information Technology R&D (NITRD), Pediatric, Pediatric Cancer, Good Health and Well Being, Algorithms, Child, Humans, Machine Learning, ROC Curve, Retrospective Studies, CT, Radiomics, Machine learning, Neural network
Abstract

Neuroblastoma is one of the most common pediatric cancers. This study used machine learning (ML) to predict the mortality and a few other investigated intermediate outcomes of neuroblastoma patients non-invasively from CT images. Performances of multiple ML algorithms over retrospective CT images of 65 neuroblastoma patients are analyzed. An artificial neural network (ANN) is used on tumor radiomic features extracted from 3D CT images. A pre-trained 2D convolutional neural network (CNN) is used on slices of the same images. ML models are trained for various pathologically investigated outcomes of these patients. A subspecialty-trained pediatric radiologist independently reviewed the manually segmented primary tumors. Pyradiomics library is used to extract 105 radiomic features. Six ML algorithms are compared to predict the following outcomes: mortality, presence or absence of metastases, neuroblastoma differentiation, mitosis-karyorrhexis index (MKI), presence or absence of MYCN gene amplification, and presence of image-defined risk factors (IDRF). The prediction ranges over multiple experiments are measured using the area under the receiver operating characteristic (ROC-AUC) for comparison. Our results show that the radiomics-based ANN method slightly outperforms the other algorithms in predicting all outcomes except classification of the grade of neuroblastic differentiation, for which the elastic regression model performed the best. Contributions of the article are twofold: (1) noninvasive models for the prognosis from CT images of neuroblastoma, and (2) comparison of relevant ML models on this medical imaging problem.

Published
2022

17. Chapter 9 Nanoparticles for the improved horticultural crop production

Author

Mitra, Debasis, primary, Panneerselvam, Periyasamy, additional, Alloun, Wiem, additional, Bhaskar Sawant, Shraddha, additional, Janeeshma, Edappayil, additional, Priyadarshini, Ankita, additional, Behera, Suchismita, additional, Senapati, Ansuman, additional, Satapathy, Sucharita, additional, and Das Mohapatra, Pradeep K., additional

Published
2023
Full Text
View/download PDF

21. Evaluation of accurate uncertainty of measurement in L subshell ionization cross-section

Author

Singh, Shashank, Chatterjee, Soumya, Mitra, Debasis, and Nandi, Tapan

Subjects
Physics - Atomic Physics
Abstract

To have a better understanding of a physical process, a comparison of ex-perimental data with theoretical values is mandatory. The comparison ismeaningful if the uncertainty in the experiment is accounted well. However,it is seldom seen, especially for a complex phenomenon. We take a test casethrough L subshell ionization of atoms by particle impact. Experimentally,x-ray production cross-sections are measured, but ionization cross-sectionsare calculated theoretically. Furthermore, the uncertainty of the x-ray pro-duction cross-section is mainly statistics and detector-efficiency driven. Butionization cross-section involves many other factors because of the relation-ship between the production and ionization cross section, having wide uncer-tainty spectrum. Consequently, determining the measurement uncertainty inL subshell ionization cross-section is always difficult. We have studied thisissue in the simplest way, where the rule of weighted propagation of rela-tive uncertainty is utilised. We notice that larger uncertainties are involvedin atomic parameters relevant to L1(2s1/2) subshell than those associatedwith the other two L2(2p1/2) and L3(2p3/2) subshells. Hence, comparisonbetween theory and experiment would give higher emphasis onL2andL3subshell ionization cross sections. We believe this work aware us that theappropriate uncertainty evaluation is extremely important for providing theright judgment on the data., Comment: 31 pages, 2 figures

Published
2021

23. A Wearable Microwave Technique for Early Detection of Acute Respiratory Distress Syndrome (ARDS)

Author

Singh, Adarsh, Gayen, Sreetama, Mitra, Debasis, Basuchowdhuri, Partha, Mandal, Bappaditya, Augustine, Robin, Angrisani, Leopoldo, Series Editor, Arteaga, Marco, Series Editor, Chakraborty, Samarjit, Series Editor, Chen, Jiming, Series Editor, Chen, Shanben, Series Editor, Chen, Tan Kay, Series Editor, Dillmann, Rüdiger, Series Editor, Duan, Haibin, Series Editor, Ferrari, Gianluigi, Series Editor, Ferre, Manuel, Series Editor, Jabbari, Faryar, Series Editor, Jia, Limin, Series Editor, Kacprzyk, Janusz, Series Editor, Khamis, Alaa, Series Editor, Kroeger, Torsten, Series Editor, Li, Yong, Series Editor, Liang, Qilian, Series Editor, Martín, Ferran, Series Editor, Ming, Tan Cher, Series Editor, Minker, Wolfgang, Series Editor, Misra, Pradeep, Series Editor, Mukhopadhyay, Subhas, Series Editor, Ning, Cun-Zheng, Series Editor, Nishida, Toyoaki, Series Editor, Oneto, Luca, Series Editor, Panigrahi, Bijaya Ketan, Series Editor, Pascucci, Federica, Series Editor, Qin, Yong, Series Editor, Seng, Gan Woon, Series Editor, Speidel, Joachim, Series Editor, Veiga, Germano, Series Editor, Wu, Haitao, Series Editor, Zamboni, Walter, Series Editor, Zhang, Junjie James, Series Editor, Suryadevara, Nagender Kumar, editor, George, Boby, editor, Jayasundera, Krishanthi P., editor, and Mukhopadhyay, Subhas Chandra, editor

Published
2023
Full Text
View/download PDF

24. A Novel CNN-Based Approach for Distinguishing Between COVID and Common Pneumonia

Author

Bakshi, Somrita, Palit, Sarbani, Bhattacharya, Ujjwal, Gholami, Kimia, Hussain, Nushrat, Mitra, Debasis, Goos, Gerhard, Founding Editor, Hartmanis, Juris, Founding Editor, Bertino, Elisa, Editorial Board Member, Gao, Wen, Editorial Board Member, Steffen, Bernhard, Editorial Board Member, Yung, Moti, Editorial Board Member, Yan, Wei Qi, editor, Nguyen, Minh, editor, and Stommel, Martin, editor

Published
2023
Full Text
View/download PDF

37. Mask-Guided Convolutional Neural Network for Breast Tumor Prognostic Outcome Prediction on 3D DCE-MR Images

Author

Liu, Gengbo, Mitra, Debasis, Jones, Ella F, Franc, Benjamin L, Behr, Spencer C, Nguyen, Alex, Bolouri, Marjan S, Wisner, Dorota J, Joe, Bonnie N, Esserman, Laura J, Hylton, Nola M, and Seo, Youngho

Subjects
Biomedical and Clinical Sciences, Oncology and Carcinogenesis, Cancer, Women's Health, Bioengineering, Breast Cancer, Biomedical Imaging, 4.2 Evaluation of markers and technologies, Breast Neoplasms, Female, Humans, Imaging, Three-Dimensional, Magnetic Resonance Imaging, Neural Networks, Computer, Prognosis, Deep learning, Breast cancer outcome classification, DCE-MRI, Mask-guided convolutional neural net
Abstract

In this proof-of-concept work, we have developed a 3D-CNN architecture that is guided by the tumor mask for classifying several patient-outcomes in breast cancer from the respective 3D dynamic contrast-enhanced MRI (DCE-MRI) images. The tumor masks on DCE-MRI images were generated using pre- and post-contrast images and validated by experienced radiologists. We show that our proposed mask-guided classification has a higher accuracy than that from either the full image without tumor masks (including background) or the masked voxels only. We have used two patient outcomes for this study: (1) recurrence of cancer after 5 years of imaging and (2) HER2 status, for comparing accuracies of different models. By looking at the activation maps, we conclude that an image-based prediction model using 3D-CNN could be improved by even a conservatively generated mask, rather than overly trusting an unguided, blind 3D-CNN. A blind CNN may classify accurately enough, while its attention may really be focused on a remote region within 3D images. On the other hand, only using a conservatively segmented region may not be as good for classification as using full images but forcing the model's attention toward the known regions of interest.

Published
2021

40. Draft genome of a biological control agent against Bipolaris sorokiniana, the causal phytopathogen of spot blotch in wheat (Triticum turgidum L. subsp. durum): Bacillus inaquosorum TSO22

Author

Morales-Sandoval Pamela Helué, Valenzuela-Ruíz Valeria, Santoyo Gustavo, Hyder Sajjad, Mitra Debasis, Zelaya-Molina Lily X., Ávila-Alistac Norma, Parra-Cota Fannie Isela, and Santos-Villalobos Sergio de los

Subjects
biofungicides, bioinformatics, genome mining, genomics, plant growth-promoting bacteria, sustainable agriculture, Agriculture, Agriculture (General), S1-972
Abstract

Strain TSO22 was isolated from bulk soil associated with wheat crops in the Yaqui Valley, Mexico. The draft genome contained 4,294,671 bp, 43.7% G + C content, 731,759 bp N50, 3 L50, and 29 contigs. Based on 16S rRNA gene sequencing, the overall genome relatedness index, and phylogenomic relationship, strain TSO22 is highly affiliated with Bacillus inaquosorum. Genome annotation revealed 94 RNAs and 4,465 predicted coding DNA sequences distributed in 336 subsystems, in which genes involved in plant growth promotion and biocontrol were detected, such as colonizing plant system, competitive exclusionist, control of biotic and abiotic stresses, and plant immune response stimulation. Genomic predictions were confirmed through in vitro analysis, which revealed that B. inaquosorum TSO22 has great biological control against Bipolaris sorokiniana, as well as excellent metabolic capabilities to improve plant growth and development.

Published
2024
Full Text
View/download PDF

49. Biosynthesis and characterization of nanoparticles, its advantages, various aspects and risk assessment to maintain the sustainable agriculture: Emerging technology in modern era science

Author

Mitra, Debasis, Adhikari, Priyanka, Djebaili, Rihab, Thathola, Pooja, Joshi, Kuldeep, Pellegrini, Marika, Adeyemi, Nurudeen O., Khoshru, Bahman, Kaur, Kamaljit, Priyadarshini, Ankita, Senapati, Ansuman, Del Gallo, Maddalena, Das Mohapatra, Pradeep K., Nayak, Amaresh Kumar, Shanmugam, Vijayakumar, and Panneerselvam, Periyasamy

Published
2023
Full Text
View/download PDF

Catalog

Books, media, physical & digital resources
See catalog results