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Decomposition rate and biochemical fate of carbon from natural polymers and microplastics in boreal lakes
(Frontiers Media SA, 2022)
Microbial mineralization of organic compounds is essential for carbon recycling in food webs. Microbes can decompose terrestrial recalcitrant and semi-recalcitrant polymers such as lignin and cellulose, which are precursors ...
Decorin Expression and Oncosuppression in Human Embryonic Carcinomas
(Fortune Journals, 2019)
Human embryonic stem cells in culture can transform into malignant, cancer-like cells exhibiting lesser differentiation. After transplantation, these transformed cells can form highly malignant germ cell tumors. In humans, ...
Decoupling on the Wiener Space, Related Besov Spaces, and Applications to BSDEs
(American Mathematical Society, 2021)
We introduce a decoupling method on the Wiener space to define a wide class of anisotropic Besov spaces. The decoupling method is based on a general distributional approach and not restricted to the Wiener space. The class ...
Decreased temperature increases the expression of a disordered bacterial late embryogenesis abundant (LEA) protein that enhances natural transformation
(Landes Bioscience; American Society for Virology, 2021)
Late embryogenesis abundant (LEA) proteins are important players in the management of responses to stressful conditions, such as drought, high salinity, and changes in temperature. Many LEA proteins do not have defined ...
Deducing self-interaction in eye movement data using sequential spatial point processes
(Elsevier BV, 2016)
Eye movement data are outputs of an analyser tracking the gaze when a person is inspecting a scene. These kind of data are of increasing importance in scientific research as well as in applications, e.g. in marketing and ...
Deep inelastic scattering in the dipole picture at next-to-leading order
(American Physical Society, 2017)
We study quantitatively the importance of the recently derived next-to-leading-order corrections to the deep inelastic scattering structure functions at small x in the dipole formalism. We show that these corrections can ...
Deep learning for flow observables in ultrarelativistic heavy-ion collisions
(American Physical Society (APS), 2023)
We train a deep convolutional neural network to predict hydrodynamic results for flow coefficients, average transverse momenta, and charged particle multiplicities in ultrarelativistic heavy-ion collisions from the initial ...
Deep Underground Neutrino Experiment (DUNE) : Far detector technical design report. Volume I. Introduction to DUNE
(IOP Publishing, 2020)
DUNE computing model, for which DUNE is planning design reports. Volume II of this TDR describes DUNE's physics program in detail. Volume III describes the technical coordination required for the far detector design, ...
Deep Underground Neutrino Experiment (DUNE) : Far detector technical design report. Volume III. DUNE far detector technical coordination
(IOP Publishing, 2020)
The preponderance of matter over antimatter in the early universe, the dynamics of the supernovae that produced the heavy elements necessary for life, and whether protons eventually decay—these mysteries at the forefront ...
Deep Underground Neutrino Experiment (DUNE) : Far detector technical design report. Volume IV. The DUNE far detector single-phase technology
(IOP Publishing, 2020)
The preponderance of matter over antimatter in the early universe, the dynamics of the supernovae that produced the heavy elements necessary for life, and whether protons eventually decay—these mysteries at the forefront ...