619 research outputs found
Evidence of linear and cubic Rashba effect in non-magnetic heterostructure
The LaAlO3/KTaO3 system serves as a prototype to study the electronic
properties that emerge as a result of spin-orbit coupling. In this article, we
have used first-principles calculations to systematically study two types of
defect-free (0 0 1) interfaces, which are termed as Type-I and Type-II. While
the Type-I heterostructure produces a two-dimensional electron gas, the Type-II
heterostructure hosts an oxygen-rich two-dimensional hole gas at the interface.
Furthermore, in the presence of intrinsic spin-orbit coupling, we have found
evidence of both cubic and linear Rashba interactions in the conduction bands
of the Type-I heterostructure. On the contrary, there is spin-splitting of both
the valence and the conduction bands in the Type-II interface, which are found
to be only linear Rashba type. Interestingly, the Type-II interface also
harbours a potential photocurrent transition path, making it an excellent
platform to study the circularly polarized photogalvanic effect
Rashba splitting in polar-nonpolar sandwich heterostructure : A DFT Study
In this study, we employ density functional theory (DFT) based
first-principles calculations to investigate the spin-orbit effects in the
electronic structure of a polar-nonpolar sandwich heterostructure namely
LAO/STO/LAO. Our focus on the Ti-3d bands reveals an
inverted ordering of the STO- orbital near the n-type interface,
consistent with earlier experimental work. In contrast, toward the p-type
interface, the orbital ordering aligns with the natural ordering of STO
orbitals, influenced by crystal field splitting. Interestingly, we have found a
strong inter-orbital coupling between and orbital, which has not
been reported earlier in based 2D system. Additionally, our
observations highlight that the cubic Rashba splitting in this system surpasses
the linear Rashba splitting, contrary to experimental findings. This
comprehensive analysis contributes to a refined understanding of the role of
orbital mixing in Rashba splitting in the sandwich oxide heterostructures
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Comparative lipid profiling dataset of the inflammation-induced optic nerve regeneration.
In adult mammals, retinal ganglion cells (RGCs) fail to regenerate following damage. As a result, RGCs die after acute injury and in progressive degenerative diseases such as glaucoma; this can lead to permanent vision loss and, eventually, blindness. Lipids are crucial for the development and maintenance of cell membranes, myelin sheaths, and cellular signaling pathways, however, little is known about their role in axon injury and repair. Studies examining changes to the lipidome during optic nerve (ON) regeneration could greatly inform treatment strategies, yet these are largely lacking. Experimental animal models of ON regeneration have facilitated the exploration of the molecular determinants that affect RGC axon regeneration. Here, we analyzed lipid profiles of the ON and retina in an ON crush rat model using liquid chromatography-mass spectrometry. Furthermore, we investigated lipidome changes after ON crush followed by intravitreal treatment with Zymosan, a yeast cell wall derivative known to enhance RGC regeneration. This data is available at the NIH Common Fund's Metabolomics Data Repository and Coordinating Center (supported by NIH grant, U01-DK097430) website, the Metabolomics Workbench, http://www.metabolomicsworkbench.org, where it has been assigned Project ID: PR000661. The data can be accessed directly via it's Project DOI: doi: 10.21,228/M87D53
Associated production of Higgs and single top at the LHC in presence of the SMEFT operators
We analyse the single top production in association with the Higgs at the
Large Hadron Collider (LHC) using Standard Model (SM) effective operators upto
dimension six. We show that the presence of effective operators can
significantly alter the existing bound on the top-Higgs Yukawa coupling. We
analyse events at the LHC with 35.9 and 137(140) fb integrated
luminosities using both cut-based and machine learning techniques to probe new
physics (NP) scale and operator coefficients addressing relevant SM background
reduction. The four fermi effective operator(s) that contributes to the signal,
turns out to be crucial and a bound on the operator coefficient is obtained
from the present data and for future sensitivities.Comment: Version published in JHE
Technical Brief: A novel strategy for enrichment of trabecular meshwork protease proteome
We present a novel and simple enrichment strategy to capture trabecular meshwork (TM) protease proteome. The method relies on fractionation of TM tissue into cytosolic and nuclear extracts and subsequent affinity enrichment of proteases on peptide inhibitors. A large repertoire of available protease substrate analog peptides enables an improved capture of TM protease proteome compared to SDS–PAGE fractionation alone. Peptide analog inhibitors of protease substrates are immobilized on a protein A or G column using 254 nm intense ultraviolet (UV) light. The TM cytosolic protein extract incubated on the column is eluted with salt or a buffer with a low hydrogen ion concentration. The resultant protein solution is precipitated with acetone, fractionated on SDS–PAGE, in situ trypsin digested, and subjected to mass spectrometry. This relatively simple protocol enables improved capture of cytosolic proteases. We identified 20 previously reported TM proteins from a single donor tissue using affinity enrichment. The majority of identified proteins were either intracellular proteases or known protease inhibitors. Both serine and cysteine proteases were captured using this strategy with improved coverage compared to our previous identification without affinity enrichment
Hydrogen production by Cyanobacteria
The limited fossil fuel prompts the prospecting of various unconventional energy sources to take over the traditional fossil fuel energy source. In this respect the use of hydrogen gas is an attractive alternate source. Attributed by its numerous advantages including those of environmentally clean, efficiency and renew ability, hydrogen gas is considered to be one of the most desired alternate. Cyanobacteria are highly promising microorganism for hydrogen production. In comparison to the traditional ways of hydrogen production (chemical, photoelectrical), Cyanobacterial hydrogen production is commercially viable. This review highlights the basic biology of cynobacterial hydrogen production, strains involved, large-scale hydrogen production and its future prospects. While integrating the existing knowledge and technology, much future improvement and progress is to be done before hydrogen is accepted as a commercial primary energy source
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