• 学术搜索
  • 科研智能体
    • Research Labs
    • AI 阅读
    • AI 文库
    • 深度研究
    • 学者亮点
  • 学术资源
    • AI2000
    • 期刊/会议
    • 学者库
    • 学术API
    • 溯源树
    • 数据集
  • 知识沉淀
    • 学术空间
订阅小程序
旧版功能
aminer vip
开通会员低至0.73元/天
一次搞定AI科研
立即登录
  • English
  • 联系方式
    俄克拉荷马大学

    俄克拉荷马大学

    University of Oklahoma
    院校EST. 1890
    9.1万论文总数
    278万引用总数

    论文量&引用量时间轴

    机构学者

    排序
    Jizhong Zhou
    Jizhong Zhou
    Institute for Environmental Genomics, Dodge Family College of Arts and Sciences, The University of Oklahoma;Department of Microbiology and Plant Biology, School of Civil Engineering and Environmental Sciences, The University of Oklahoma;School of Computer Science, The University of Oklahoma;Lawrence Berkeley National Laboratory;School of Environment, Tsinghua University
    论文:637引用:0H-index:0
    Kathleen N. Moore
    Kathleen N. Moore
    Department of Obstetrics & Gynecology, College of Medicine, The University of Oklahoma Health Sciences;University of Oklahoma Health Sciences Center;Stephenson Cancer Center, College of Medicine, The University of Oklahoma Health Sciences
    论文:442引用:0H-index:0
    Xiangming Xiao
    Xiangming Xiao
    Center for Earth Observation and Modeling, The University of Oklahoma;Department of Microbiology and Plant Biology, School of Biological Sciences, Dodge Family College of Arts and Sciences, The University of Oklahoma
    论文:402引用:0H-index:0
    Ming Xue
    Ming Xue
    Center for Analysis and Prediction of Storms and School of Meteorology, University of Oklahoma
    论文:316引用:0H-index:0
    Horst Severini
    Horst Severini
    Homer L. Dodge Department of Physics and Astronomy, Dodge Family College of Arts and Sciences, The University of Oklahoma;Oklahoma Center for High Energy Physics
    论文:297引用:0H-index:0
    Patrick L. Skubic
    Patrick L. Skubic
    University of Oklahoma, Univ of Oklahoma
    论文:293引用:0H-index:0
    Michael G. Bemben
    Michael G. Bemben
    Department of Health and Exercise Science, Dodge Family College of Arts and Sciences, The University of Oklahoma
    论文:290引用:0H-index:0
    Yiqi Luo
    Yiqi Luo
    Center for Ecosystem Science and Society, Department of Biological Sciences, Northern Arizona University
    论文:289引用:0H-index:0
    Mohammed Atiquzzaman
    Mohammed Atiquzzaman
    School of Computer Science, The University of Oklahoma
    论文:285引用:0H-index:0

    论文(10000)

    年份
    起
    –
    止
    排序
    1Co-founder Selection from a Marriage Market Perspective: How the Dark Triad Shapes Judgments of Interpersonal Attraction, Resources, and Equity Demand
    Yannick Nicolai Amend, Petrit Ademi, Matthew S. Wood, Monika Christine Schuhmacher

    Co-founder selection is a pivotal decision in new venture formation, yet how lead founders evaluate potential partners remains underexplored. Drawing on insights from marriage market theory, we conceptualize co-founder selection as an act of individuated judgment guided by cooperative logic and associated joint utility projection, wherein lead founders assess co-founder candidates based on social-emotional, instrumental, and distributive considerations reflected in interpersonal attraction, resource contributions, and equity demand. We further propose that lead founders' dark triad shifts this judgmental process from joint utility logic to personal utility maximization. Using a conjoint experiment with 206 entrepreneurs making 3296 co-founder selection decisions, we find that interpersonal attraction and resource contributions positively influence willingness to select a co-founder candidate, whereas higher equity demand reduces candidate attractiveness. Critically, lead founders higher in the dark triad display distinct patterns: they discount interpersonal attraction and display heightened sensitivity to equity dilution—assessments that indicate their prioritization of personal over joint value creation. Taken together, these findings reveal how dispositional tendencies influence the judgments underlying co-founder selection, indicating a shift away from the cooperative logic assumed in marriage market theory and co-founder selection toward greater emphasis on personal utility considerations. We discuss theoretical implications of these findings and offer practical guidance for navigating the complexities of co-founder selection.

    2027Journal of Business Venturing(2027)
    引用
    AI阅读
    加入学术空间
    2Proteasome-dependent Degradation of Guanosine 5'-Triphosphate Cyclohydrolase I Causes Tetrahydrobiopterin Deficiency in Diabetes Mellitus.
    Jian Xu,Yong Wu,Ping Song,Miao Zhang,Shuangxi Wang,Ming-Hui Zou

    BACKGROUND:Tetrahydrobiopterin (BH4) deficiency is reported to uncouple the enzymatic activity of endothelial nitric oxide synthase in diabetes mellitus. The mechanism by which diabetes actually leads to BH4 deficiency remains elusive. Here, we demonstrate that diabetes reduced BH4 by increasing 26S proteasome-dependent degradation of guanosine 5'-triphosphate cyclohydrolase I (GTPCH), a rate-limiting enzyme in the synthesis of BH4, in parallel with increased formation of both superoxide and peroxynitrite (ONOO-). METHODS AND RESULTS:Exposure of human umbilical vein endothelial cells to high glucose concentrations (30 mmol/L D-glucose) but not to high osmotic conditions (25 mmol/L L-glucose plus 5 mmol/L D-glucose) significantly lowered the levels of both GTPCH protein and BH4. In addition, high glucose increased both the 26S proteasome activity and the ubiquitination of GTPCH. Inhibition of the 26S proteasome with either MG132 or PR-11 prevented the high glucose-triggered reduction of GTPCH and BH4. Exposure of human umbilical vein endothelial cells to exogenous ONOO- increased proteasome activity and 3-nitrotyrosine in 26S proteasome. Furthermore, adenoviral overexpression of superoxide dismutase and inhibition of endothelial nitric oxide synthase with N(G)-nitro-L-arginine methyl ester significantly attenuated the high glucose-induced activation of 26S proteasome and the reduction of GTPCH. Finally, administration of MG132 or a superoxide dismutase mimetic, tempol, reversed the diabetes mellitus-induced reduction of GTPCH and BH4 and endothelial dysfunction in streptozotocin-induced diabetes mellitus. CONCLUSIONS:We conclude that diabetes mellitus triggers BH4 deficiency by increasing proteasome-dependent degradation of GTPCH.

    2026Circulation(2026)引用:199
    引用
    AI阅读
    加入学术空间
    3The UCAR Africa Initiative: Recent Insights, Challenges, and Opportunities to Foster Collaborative Research for Environmental Sustainability
    Wenfu Tang,Rajesh Kumar, Anna Del Moral Mendez, Felicity Ahafianyo,Akintomide A. Akinsanola, Agbeli Ameko, Marleen Dekker, Rong Fu,Benjamin Gaubert,Samson Hagos,Cenlin He,Forrest Lacey,

    Africa is increasingly being exposed to the negative impacts of climate and environmental change, while having less capacity to respond compared to other continents. The vulnerability partially results from unprecedented demographic growth, urbanization, and industrialization. However, the continent has still largely been underserved by the broader Earth system science (ESS) community, as evidenced by the limited amount of ESS data and research that cover Africa compared to other areas of the world. Here, we present the recent University Corporation for Atmospheric Research (UCAR) Africa Initiative that aims to enhance environmental sustainability in Africa by fostering international collaborative research partnerships coled by African scientists. Specifically, we outline urgent challenges and opportunities identified through an international workshop in six areas of ESS, namely, 1) air quality and health, 2) weather, 3) climate, 4) land and water, 5) social science perspectives, and 6) developing equitable collaboration and sustainable infrastructure. We highlight examples of successful partnerships and conclude with recommendations to advance collaborative, actionable ESS research that addresses Africa's critical environmental challenges.

    2026BULLETIN OF THE AMERICAN METEOROLOGICAL SOCIETY(2026)引用:139
    引用
    AI阅读
    加入学术空间
    4Forecasting Quasi-Linear Convective System Tornado Potential Using the Warn-on-Forecast System (Wofs)
    Kelsey C. Britt, Patrick S. Skinner, Matthew C. Brown,Pamela L. Heinselman, Adam J. Clark

    Accurately forecasting mesovortex tornado potential within quasi-linear convective systems (QLCSs) remains a major challenge. One technique used to support QLCS tornado warning operations is the three ingredients method (3IM), which is based on system balance modulated by line-normal vertical wind shear. However, observational studies examining prolific mesovortex-and tornado-producing QLCSs have identified a substantial line-parallel component of the low-level environmental shear field, which is unaccounted for in the 3IM. Recent numerical studies suggest that line-parallel shear promotes the development of strong, cyclonic mesovortices, thereby increasing the overall likelihood of QLCS tornadoes. Motivated by these recent findings, this proof-of-concept study represents the first attempt to quantify the physical factors comprising the 3IM using a prototype composite forecast parameter QTor. QTor integrates near-storm environmental vertical wind shear components with leading-line geometry to generate system-relative probabilistic forecasts for mesovortex tornado potential. QTor is evaluated using three tornadic QLCS cases and one null case within the Warn-on-Forecast System (WoFS), leveraging object-based methods to identify QLCS structures and isolate their leading lines. Results indicate that QTor forecasts show promise in effectively identifying areas conducive to mesovortex tornado development, providing qualitatively accurate probabilistic forecasts of tornadic portions of the QLCSs with up to 3 h of lead time. SIGNIFICANCE STATEMENT: Squall-line tornadoes are difficult to forecast due to their small size and transient nature, leading to lower predictability and shorter warning lead times compared to supercell tornadoes. This study introduces QTor, a new forecasting parameter designed to predict tornado potential within squall lines. Results indicate that QTor may effectively identify areas of increased tornado likelihood, predicting tornadic portions of a squall line over 3 h in advance. While still in early development, QTor shows great promise and has the potential to enhance squall-line tornado prediction in the future.

    2026WEATHER AND FORECASTING(2026)引用:85
    引用
    AI阅读
    加入学术空间
    5Meteorological Benefits and Operational Applications of S-Band, Rapid-Scanning, Dual-Polarization Radar for Hail-Producing Storms
    Laura Shedd, David Bodine, Anthony Reinhart, David Schvartzman, Jeffrey Snyder

    Most operational radar systems to date produce data with volumetric update times that are insufficient for capturing some of the rapidly evolving processes of hailstorms. Recent advances in rapid scan radar technology and innovative approaches to obtain faster scans have paved the way for a better analysis of hailstorms. This study utilizes the National Severe Storms Laboratory (NSSL)'s research Weather Surveillance Radar-1988 Doppler (WSR-88D) S-band radar, KOUN, located in Norman, Oklahoma, to examine rapidly evolving polarimetric features in hailstorms. Quantities such as rate of hail descent and changes in the updraft can be calculated through the analysis of these rapidly evolving polarimetric features, which can increase forecaster confidence in hailstorm evolution and hail sizing. Multi-Radar Multi-Sensor (MRMS) system products were generated using KOUN data, which captured the full life cycle of a hailstorm, including the cyclic evolution of hail production and its relation to tornado production. These data were compared to KTLX, located in Oklahoma City, Oklahoma, to explore what features would not be resolved without a rapid-scanning radar system. Rapid-scanning radar observations provided more details on storm-scale processes related to hail, which can aid in operational forecasting and give insight into future operational phased array radar benefits.

    2026WEATHER AND FORECASTING(2026)引用:78
    引用
    AI阅读
    加入学术空间
    立即登录,查看全部 10000 篇论文

    合作机构(100)

    华盛顿大学合作论文 2,424
    俄克拉荷马州立大学合作论文 2,133
    亚利桑那大学合作论文 1,833
    密歇根大学合作论文 1,830
    俄亥俄州立大学合作论文 1,825
    伊利诺伊大学香槟分校合作论文 1,771
    印第安纳大学合作论文 1,590
    密歇根州立大学合作论文 1,549
    哥伦比亚大学合作论文 1,528
    匹兹堡大学合作论文 1,505

    机构统计