276 research outputs found

    Scene Graph Parsing as Dependency Parsing

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    In this paper, we study the problem of parsing structured knowledge graphs from textual descrip- tions. In particular, we consider the scene graph representation that considers objects together with their attributes and relations: this representation has been proved useful across a variety of vision and language applications. We begin by introducing an alternative but equivalent edge-centric view of scene graphs that connect to dependency parses. Together with a careful redesign of label and action space, we combine the two-stage pipeline used in prior work (generic dependency parsing followed by simple post-processing) into one, enabling end-to-end training. The scene graphs generated by our learned neural dependency parser achieve an F-score similarity of 49.67% to ground truth graphs on our evaluation set, surpassing best previous approaches by 5%. We further demonstrate the effective- ness of our learned parser on image retrieval applications.This material is based upon work supported by the Center for Brains, Minds and Machines (CBMM), funded by NSF STC award CCF-1231216

    Follicle-stimulating Hormone is Independently Associated with Lean Mass but not BMD in Younger Postmenopausal Women

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    PURPOSE: Increased follicle-stimulating hormone (FSH) has been associated with lower bone mineral density (BMD) in animal models and longitudinal studies of women, but a direct effect has not been demonstrated.METHODS: We tested associations between FSH, non-bone body composition measures and BMD in 94 younger (aged 50 to 64 years) postmenopausal women without current use of hormone therapy, adjusting for sex hormone concentrations and clinical risk factors for osteoporosis. Lean mass, fat mass and areal BMD (aBMD) at the spine, femoral neck and total hip were measured using dual energy X-ray absorptiometry (DXA). Volumetric BMD (vBMD) was measured at the distal radius using peripheral quantitative computed tomography (pQCT).RESULTS: FSH was inversely correlated with lean and fat mass, bioavailable estradiol, spine and hip aBMD, and vBMD at the ultradistal radius. In the multivariable analysis, FSH was independently associated with lean mass (β=-0.099, p=0.005) after adjustment for age, race, years since menopause, bioavailable estradiol, bioavailable testosterone, LH, PTH, SHBG and urine N-telopeptide. FSH showed no statistically significant association with aBMD at any site or pQCT measures at the distal radius in adjusted models. Race was independently associated with aBMD, and race and urine N-telopeptide were independently associated with bone area and vBMD.CONCLUSIONS: After adjustment for hormonal measures and osteoporosis risk factors, higher concentrations of FSH were independently associated with lower lean mass, but not with BMD. Previously reported correlations between FSH and BMD might have been due to indirect associations via lean mass or weight

    Transcriptional Regulation by ERR and Its Role in NAFLD Pathogenesis

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    Members of estrogen-related receptors (ERRs) are orphan nuclear receptors (NRs) that play primary roles in mitochondrial biogenesis and bioenergetics. The ERRs regulate a range of cellular functions, including oxidative phosphorylation (OXPHOS) as well as glucose and lipid metabolism. ERRs are considered important targets for the treatment of metabolic diseases, particularly type II diabetes (T2D), insulin resistance (IR) and obesity. In this review, we will overview the transcriptional network regulated by the members of ERR transcriptional factors and elaborate on the regulation of ERR via its binding to PGC-1α, the primary co-activator of ERR as well as post-translational regulation of ERRs by upstream kinase signals. Recent development in ERR’s cellular function has identified lipid metabolism/lipogenesis as a process that ERR regulates, and this function significantly impacts metabolic syndrome. Here, we will focus on their roles in lipid metabolic regulation and discuss the in vivo functions of ERRs in the development of non-alcoholic fatty liver disease (NAFLD), a comorbid metabolic syndrome concurrent with T2D, IR as well as obesity. Finally, we will explore ERRs as potential therapeutic targets by discussing the ligands that serve as antagonist/agonists for ERRs as well as efforts that target DNA binding of ERR as a transcriptional factor

    Carbon Monitor Cities, near-real-time daily estimates of CO2 emissions from 1500 cities worldwide

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    Building on near-real-time and spatially explicit estimates of daily carbon dioxide (CO2) emissions, here we present and analyze a new city-level dataset of fossil fuel and cement emissions. Carbon Monitor Cities provides daily, city-level estimates of emissions from January 2019 through December 2021 for 1500 cities in 46 countries, and disaggregates five sectors: power generation, residential (buildings), industry, ground transportation, and aviation. The goal of this dataset is to improve the timeliness and temporal resolution of city-level emission inventories and includes estimates for both functional urban areas and city administrative areas that are consistent with global and regional totals. Comparisons with other datasets (i.e. CEADs, MEIC, Vulcan, and CDP) were performed, and we estimate the overall uncertainty to be 21.7%. Carbon Monitor Cities is a near-real-time, city-level emission dataset that includes cities around the world, including the first estimates for many cities in low-income countries
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