Zobrazeno 1 - 10
of 23
pro vyhledávání: '"Kaustuv Datta"'
Autor:
Kaustuv Datta, Andrew J. Larkoski
Publikováno v:
Journal of High Energy Physics, Vol 2018, Iss 3, Pp 1-18 (2018)
Abstract Previous studies have demonstrated the utility and applicability of machine learning techniques to jet physics. In this paper, we construct new observables for the discrimination of jets from different originating particles exclusively from
Externí odkaz:
https://doaj.org/article/cb8e37e3df7d42979df2c819dff18986
Autor:
Kaustuv Datta, Andrew Larkoski
Publikováno v:
Journal of High Energy Physics, Vol 2017, Iss 6, Pp 1-25 (2017)
Abstract Machine learning techniques are increasingly being applied toward data analyses at the Large Hadron Collider, especially with applications for discrimination of jets with different originating particles. Previous studies of the power of mach
Externí odkaz:
https://doaj.org/article/adff0f1a1269498988178efec8f03436
Publikováno v:
Scientific Reports, Vol 7, Iss 1, Pp 1-11 (2017)
Abstract Revelation of unequivocal structural information at the atomic level for complex systems is uniquely important for deeper and generic understanding of the structure property connections and a key challenge in materials science. Here we repor
Externí odkaz:
https://doaj.org/article/d92e879986bf4a589e8a60cbb354d87f
Autor:
Kaustuv Datta, Jaswinder Kaur
Publikováno v:
Mol Cell Biol
Mitochondrial oxidative phosphorylation (OXPHOS) enzymes have a dual genetic origin. Mechanisms regulating the expression of nucleus-encoded OXPHOS subunits in response to metabolic cues (glucose versus glycerol) are well understood, while the regula
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::aca6022d45219c777d26d15d0f6f54eb
https://europepmc.org/articles/PMC8547514/
https://europepmc.org/articles/PMC8547514/
Autor:
Kaustuv Datta, Jaswinder Kaur
Mitochondrial oxidative phosphorylation (OXPHOS) enzymes are made up of dual genetic origin. Mechanism regulating expression of nuclear encoded OXPHOS subunits in response to metabolic cues (glucose vs. glycerol), is significantly understood while re
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::9b2fa20ad679601e6977e48fefe7ca19
https://doi.org/10.1101/2021.04.01.438031
https://doi.org/10.1101/2021.04.01.438031
Autor:
Kaustuv Datta, Yash Verma, Upasana Mehra, Dharmendra Kumar Pandey, Joy Kar, Xochitl Pérez-Martínez, Siddhartha S. Jana
Publikováno v:
Molecular Biology of the Cell
The synthesis of Cox1, the conserved catalytic-core subunit of Complex IV, a multisubunit machinery of the mitochondrial oxidative phosphorylation (OXPHOS) system under environmental stress, has not been sufficiently addressed. In this study, we show
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::f08e20f7936158ca5b6071108ff43a2f
http://europepmc.org/articles/PMC8693954
http://europepmc.org/articles/PMC8693954
Publikováno v:
Journal of Proteins and Proteomics, Vol 8, Iss 2, Pp 75-84 (2017)
Protein expression in mitochondria is carried out by ribosomes that are distinct from their cytosolic counterpart. Mitochondrial ribosomes are made of individual proteins having distinct lineages: those with clear bacterial orthologues, those conserv
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doajarticles::83f8d0ae6812845fdedfecbe2e8b9421
http://www.jpp.org.in/index.php/jpp/article/view/224/161
http://www.jpp.org.in/index.php/jpp/article/view/224/161
Autor:
Andrew J. Larkoski, Kaustuv Datta
Publikováno v:
Journal of High Energy Physics, Vol 2017, Iss 6, Pp 1-25 (2017)
Journal of High Energy Physics
Journal of High Energy Physics
Machine learning techniques are increasingly being applied toward data analyses at the Large Hadron Collider, especially with applications for discrimination of jets with different originating particles. Previous studies of the power of machine learn
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::de6090d5723be4d321853b064211d7e3
http://link.springer.com/article/10.1007/JHEP06(2017)073
http://link.springer.com/article/10.1007/JHEP06(2017)073
Publikováno v:
Physical Review D, vol 100, iss 9
Physical Review D, 100 (9)
Physical Review
Physical Review D, 100 (9)
Physical Review
Machine-learning assisted jet substructure tagging techniques have the potential to significantly improve searches for new particles and Standard Model measurements in hadronic final states. Techniques with simple analytic forms are particularly usef
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::8b7de9c876ac72e2bcaa86027b3471be
Autor:
Kaustuv Datta, Andrew J. Larkoski
Publikováno v:
Journal of High Energy Physics
Journal of High Energy Physics, Vol 2018, Iss 3, Pp 1-18 (2018)
Journal of High Energy Physics, Vol 2018, Iss 3, Pp 1-18 (2018)
Previous studies have demonstrated the utility and applicability of machine learning techniques to jet physics. In this paper, we construct new observables for the discrimination of jets from different originating particles exclusively from informati
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::9410a45055fa4ac64f24d0ee4776ff03