47 research outputs found

    Shape asymmetries and lopsidedness-radial-alignment in simulated galaxies

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    Galaxies are observed to be lopsided, meaning that they are more massive and more extended along one direction than the opposite. However, the galaxies generated in cosmological simulations are much less lopsided, inconsistent with observations. In this work, we provide a statistical analysis of the lopsided morphology of 2148 simulated isolated satellite galaxies generated by TNG50-1 simulation, incorporating the effect of tidal fields from halo centres. We study the radial alignment (RA) between the major axes of satellites and the radial direction of their halo centres within truncation radii of 3Rh3R_h, 5Rh5R_h and 10Rh10R_h. According to our results, RA is absent for all these truncations. We also calculate the far-to-near-side semi-axial ratios of the major axes, denoted by a−/a+a_-/a_+, which measures the semi-axial ratios of the major axes in the hemispheres between backwards (far-side) and facing (near-side) the halo centres. If the satellites are truncated within radii of 3Rh3R_h and 5Rh5R_h with RhR_h being the stellar half mass radius, the numbers of satellites with longer semi-axes on the far-side are found to be almost equal to those with longer semi-axes on the near-side. Within a larger truncated radius of 10Rh10R_h, the number of satellites with axial ratios a−/a+<1.0a_-/a_+ <1.0 is about 10%10\% more than that with a−/a+>1.0a_-/a_+ > 1.0. Therefore, the tidal fields from halo centres play a minor role in the generation of lopsided satellites. The lopsidedness radial alignment (LRA), i.e., an alignment of long semi-major-axes along the radial direction of halo centres, is further studied. No clear evidence of LRA is found in our sample within the framework of Λ\LambdaCDM Newtonian dynamics. In comparison, the LRA can be naturally induced by the external fields from the central host galaxy in Milgromian dynamics. (See paper for full abstract)Comment: 16 pages, 12 figures, 3 tables, submitted to MNRA

    Regulation of nitric oxide signaling by formation of a distal receptor-ligand complex.

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    The binding of nitric oxide (NO) to the heme cofactor of heme-nitric oxide/oxygen binding (H-NOX) proteins can lead to the dissociation of the heme-ligating histidine residue and yield a five-coordinate nitrosyl complex, an important step for NO-dependent signaling. In the five-coordinate nitrosyl complex, NO can reside on either the distal or proximal side of the heme, which could have a profound influence over the lifetime of the in vivo signal. To investigate this central molecular question, we characterized the Shewanella oneidensis H-NOX (So H-NOX)-NO complex biophysically under limiting and excess NO conditions. The results show that So H-NOX preferably forms a distal NO species with both limiting and excess NO. Therefore, signal strength and complex lifetime in vivo will be dictated by the dissociation rate of NO from the distal complex and the rebinding of the histidine ligand to the heme

    Understanding activity trends in electrochemical water oxidation to form hydrogen peroxide

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    Electrochemical production of hydrogen peroxide (H2O2) from water oxidation could provide a very attractive route to locally produce a chemically valuable product from an abundant resource. Herein using density functional theory calculations, we predict trends in activity for water oxidation towards H2O2 evolution on four different metal oxides, i.e., WO3, SnO2, TiO2 and BiVO4. The density functional theory predicted trend for H2O2 evolution is further confirmed by our experimental measurements. Moreover, we identify that BiVO4 has the best H2O2 generation amount of those oxides and can achieve a Faraday efficiency of about 98% for H2O2 production

    Effective Lymph Nodes Detection in CT Scans Using Location Debiased Query Selection and Contrastive Query Representation in Transformer

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    Lymph node (LN) assessment is a critical, indispensable yet very challenging task in the routine clinical workflow of radiology and oncology. Accurate LN analysis is essential for cancer diagnosis, staging, and treatment planning. Finding scatteredly distributed, low-contrast clinically relevant LNs in 3D CT is difficult even for experienced physicians under high inter-observer variations. Previous automatic LN detection works typically yield limited recall and high false positives (FPs) due to adjacent anatomies with similar image intensities, shapes, or textures (vessels, muscles, esophagus, etc). In this work, we propose a new LN DEtection TRansformer, named LN-DETR, to achieve more accurate performance. By enhancing the 2D backbone with a multi-scale 2.5D feature fusion to incorporate 3D context explicitly, more importantly, we make two main contributions to improve the representation quality of LN queries. 1) Considering that LN boundaries are often unclear, an IoU prediction head and a location debiased query selection are proposed to select LN queries of higher localization accuracy as the decoder query's initialization. 2) To reduce FPs, query contrastive learning is employed to explicitly reinforce LN queries towards their best-matched ground-truth queries over unmatched query predictions. Trained and tested on 3D CT scans of 1067 patients (with 10,000+ labeled LNs) via combining seven LN datasets from different body parts (neck, chest, and abdomen) and pathologies/cancers, our method significantly improves the performance of previous leading methods by > 4-5% average recall at the same FP rates in both internal and external testing. We further evaluate on the universal lesion detection task using NIH DeepLesion benchmark, and our method achieves the top performance of 88.46% averaged recall across 0.5 to 4 FPs per image, compared with other leading reported results.Comment: Technical repor

    Robust estimation of bacterial cell count from optical density

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    Optical density (OD) is widely used to estimate the density of cells in liquid culture, but cannot be compared between instruments without a standardized calibration protocol and is challenging to relate to actual cell count. We address this with an interlaboratory study comparing three simple, low-cost, and highly accessible OD calibration protocols across 244 laboratories, applied to eight strains of constitutive GFP-expressing E. coli. Based on our results, we recommend calibrating OD to estimated cell count using serial dilution of silica microspheres, which produces highly precise calibration (95.5% of residuals &lt;1.2-fold), is easily assessed for quality control, also assesses instrument effective linear range, and can be combined with fluorescence calibration to obtain units of Molecules of Equivalent Fluorescein (MEFL) per cell, allowing direct comparison and data fusion with flow cytometry measurements: in our study, fluorescence per cell measurements showed only a 1.07-fold mean difference between plate reader and flow cytometry data

    Decoupled Object-Independent Image Features for Fine Phasing of Segmented Mirrors Using Deep Learning

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    A segmented primary mirror is very important for extra-large astronomical telescopes, in order to detect the phase error between segmented mirrors. Traditional iterative algorithms are hard to detect co−phasing aberrations in real time due to the long-time iterative process. Deep learning has shown large potential in wavefront sensing, and it gradually focuses on detecting piston error. However, the current methods based on deep learning are mainly applied to coarse phase sensing, and only consider the detection of piston error with no tip/tilt errors, which is inconsistent with reality. In this paper, by innovatively designing the form of pupil mask, and further updating the OTF in the frequency domain, we obtain a new decoupled independent feature image that can simultaneously detect the piston error and tilt/tilt error of all sub-mirrors, which is effectively decoupled, and eliminates the dependence of the data set on the imaging object. Then, the Bi−GRU network is used to recover phase error information with high accuracy from the feature image proposed in this paper. The network’s detection accuracy ability is verified under single wavelength and broadband spectrum in simulation. This paper demonstrates that co−phasing errors can be accurately decoupled and extracted by the new feature image we proposed and will contribute to the fine phasing accuracy and practicability of the extended scenes for the segmented telescopes
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