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  • 2020-2024  (2)
  • 1965-1969  (1)
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  • 1
    Electronic Resource
    Electronic Resource
    Oxford, UK : Blackwell Publishing Ltd
    Annals of the New York Academy of Sciences 140 (1967), S. 0 
    ISSN: 1749-6632
    Source: Blackwell Publishing Journal Backfiles 1879-2005
    Topics: Natural Sciences in General
    Notes: Histochemical methods specific for carbohydrate constituents distinguish a number of widely different entities in several types of gastric epithelial cells in the dog.The surface gastric epithelium reveals basophilia, indicating mucosubstances rich in both carboxyl groups (presumably sialic acid) and sulfate esters. The carboxyl-type basophilia predominates in the superficial convolutions, and that attributed to sulfate is found in the foveolar walls. The strong reactivity with both the periodic acid-Schiff (PAS) and the periodic acid-para diamine (PAD) methods for vicinal-hydroxyls indicates presence of hexose- or deoxyhexose-rich mucosubstances in both of these areas. Susceptibility of basophilia to blockage by initial periodate-meta diamine treatment points to presence of vicinal-glycols in proximity of the acid groups in surface epithelium mucin. The surface epithelium in the pylorus differs slightly in that its secretion is less strongly basophilic.The mucous neck cells secrete an apparently neutral mucosubstance which differs from the surface epithelium in its lack of both PAD reactivity and basophilia. The parietal cells also form a diastase-resistant, neutral, carbohydrate-rich substance. The zymogen cells are abundant, deep in the glands of the cardiac portion and the body of the stomach, but less numerous in the intermediate zone. They contain apical granular secretion apparently rich in sulfated mucosubstances. Lack of reactivity toward vic-glycol methods, resistance of alcianophilia or azurophilia to a previous periodate-meta diamine sequence, and resistance of mixed diamine staining to previous periodate oxidation indicate absence of residues with unsubstituted adjacent hydroxyls (e.g., hexose or deoxyhexose), in this acid mucosubstance.The pyloric glands resemble mucous neck cells in their strong PAS staining and lack of PAD reactivity, but differ in that they show a weak staining indicative of sulfomucin.
    Type of Medium: Electronic Resource
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  • 2
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    In:  XXVIII General Assembly of the International Union of Geodesy and Geophysics (IUGG)
    Publication Date: 2023-04-27
    Description: A solar flare is one of the most intense solar activities, and flare forecasting is necessary to avoid its destructive impact on near-Earth space environment and technological infrastructures. Previous studies have demonstrated the importance of the photospheric magnetic field on the occurrence of flares. Therefore, most of the input data in traditional solar flare forecasting models are magnetograms of active regions. The magnetic field of the photosphere is routinely measured and observed, but the magnetic field of the corona is not. Hence the goal of our work is to test whether precursors can be extracted from coronal multi-wavelength images of active regions and to build flare forecasting model. We investigate the effect of using extreme ultraviolet (EUV) images (at 94, 131, 171, 193, 211, and 335 Å) of the active region on solar flare forecasting. We generated a dataset consisting of EUV images of the active regions observed by the Solar Dynamics Observatory (SDO)/Atmospheric Imaging Assembly (AIA) from 2010 to 2016. Based on this dataset, a deep learning method is used to extract precursors from EUV multi-wavelength images. The testing results of the forecasting model were discussed and analyzed, and the following conclusions were drawn: (1) Each wavelength achieved good results using the EUV multiwavelength images for flare forecasting. The 94 Å wavelength demonstrated the best result among the single-wavelength results. (2) Among the combined multi-wavelength results, the best fusion results were obtained for all the six wavelengths.
    Language: English
    Type: info:eu-repo/semantics/conferenceObject
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  • 3
    Publication Date: 2023-08-04
    Description: On behalf of the journal, AGU, and the scientific community, the editors of Geophysical Research Letters would like to sincerely thank those who reviewed manuscripts for us in 2022. The hours reading and commenting on manuscripts not only improve the manuscripts, but also increase the scientific rigor of future research in the field. With the advent of AGU's data policy, many reviewers have also helped immensely to evaluate the accessibility and availability of data, and many have provided insightful comments that helped to improve the data presentation and quality. We greatly appreciate the assistance of the reviewers in advancing open science, which is a key objective of AGU's data policy. We particularly appreciate the timely reviews in light of the demands imposed by the rapid review process at Geophysical Research Letters. We received 6,687 submissions in 2022 and 5,247 reviewers contributed to their evaluation by providing 8,720 reviews in total. We deeply appreciate their contributions in these challenging times.
    Type: info:eu-repo/semantics/article
    Format: application/pdf
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