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Baltimore, MD, United States

Morgan State University is a historically black college in Baltimore, Maryland, United States. Morgan is Maryland's designated public urban university and the largest HBCU in Maryland. In 1890 the university, formerly known as the "Centenary Biblical Institute", changed its name to Morgan College to honor Reverend Lyttleton Morgan, the first chairman of its Board of Trustees who had donated land to the college. It became a university in 1975. MSU is a member of Thurgood Marshall College Fund.Although a public institution, MSU is not a part of the University System of Maryland; the school opted out and possesses its own governing Board of Regents. Wikipedia.


Lau W.K.-M.,NASA | Wu H.-T.,Science Systems And Applications Inc. | Kim K.-M.,Morgan State University
Geophysical Research Letters | Year: 2013

In this study, we find from analyses of projections of 14 CMIP5 models a robust, canonical global response in rainfall characteristics to a warming climate. Under a scenario of 1% increase per year of CO2 emission, the model ensemble projects globally more heavy precipitation (+7 - 2.4%K -1), less moderate precipitation (-2.5 - 0.6%K-1), more light precipitation (+1.8 - 1.3%K-1), and increased length of dry (no-rain) periods (+4.7 - 2.1%K-1). Regionally, a majority of the models project a consistent response with more heavy precipitation over climatologically wet regions of the deep tropics, especially the equatorial Pacific Ocean and the Asian monsoon regions, and more dry periods over the land areas of the subtropics and the tropical marginal convective zones. Our results suggest that increased CO2 emissions induce a global adjustment in circulation and moisture availability manifested in basic changes in global precipitation characteristics, including increasing risks of severe floods and droughts in preferred geographic locations worldwide. Key Points A canonical rainfall response is found in CMIP-5 models increased floods and droughts under global warming are connected Changing rainfall types are more sensitive than total rainfall ©2013. American Geophysical Union. All Rights Reserved. Source


Taplin S.H.,U.S. National Cancer Institute | Foster M.K.,Morgan State University | Shortell S.M.,University of California at Berkeley
Annals of Family Medicine | Year: 2013

The movement toward accountable care organizations and patient-centered medical homes will increase with implementation of the Affordable Care Act (ACA). The ACA will therefore give further impetus to the growing importance of teams in health care. Teams typically involve 2 or more people embedded in a larger social system who differentiate their roles, share common goals, interact with each other, and perform tasks affecting others. Multiple team types fit within this definition, and they all need support from leadership to succeed. Teams have been invoked as a necessary tool to address the needs of patients with multiple chronic conditions and to address medical workforce shortages. Invoking teams, however, is much easier than making them function effectively, so we need to consider the implications of the growing emphasis on teams. Although the ACA will spur team development, organizational leadership must use what we know now to train, support, and incentivize team function. Meanwhile, we must also advance research regarding teams in health care to give those leaders more evidence to guide their work. Source


Lau W.K.M.,NASA | Kim K.-M.,University of Maryland Baltimore County | Kim K.-M.,Morgan State University
Journal of Hydrometeorology | Year: 2012

In this paper, preliminary results are presented showing that the two record-setting extreme events during 2010 summer (i.e., the Russian heat wave-wildfires and Pakistan flood) were physically connected. It is found that the Russian heat wave was associated with the development of an extraordinarily strong and prolonged extratropical atmospheric blocking event in association with the excitation of a large-scale atmospheric Rossby wave train spanning western Russia, Kazakhstan, and the northwestern China-Tibetan Plateau region. The southward penetration of upper-level vorticity perturbations in the leading trough of the Rossby wave was instrumental in triggering anomalously heavy rain events over northern Pakistan and vicinity in mid- to late July. Also shown are evidences that the Russian heat wave was amplified by a positive feedback through changes in surface energy fluxes between the atmospheric blocking pattern and an underlying extensive land region with below-normal soil moisture. The Pakistan heavy rain events were amplified and sustained by strong anomalous southeasterly flow along the Himalayan foothills and abundant moisture transport from the Bay of Bengal in connection with the northward propagation of the monsoonal intraseasonal oscillation. © 2012 American Meteorological Society. Source


Grant
Agency: NSF | Branch: Standard Grant | Program: | Phase: HIST BLACK COLLEGES AND UNIV | Award Amount: 297.84K | Year: 2016

The Historically Black Colleges and Universities-Undergraduate Program (HBCU-UP) Research Initiation Awards (RIAs) provide support to STEM junior faculty at HBCUs who are starting to build a research program, as well as for mid-career faculty who may have returned to the faculty ranks after holding an administrative post or who needs to redirect and rebuild a research program. Faculty members may pursue research at their home institution, at an NSF-funded Center, at a research intensive institution or at a national laboratory. The RIA projects are expected to help further the faculty members research capability and effectiveness, to improve research and teaching at his or her home institution, and to involve undergraduate students in research experiences. With support from the National Science Foundation, Morgan State University will conduct research in information retrieval using search strategies based on techniques from image processing as well as natural language processing. This would enable public access to both visual information and take away messages from journal articles. This project will provide valuable research experience and mentorship for several minority undergraduate students at Morgan State University. In addition, the project will help Morgan State University build its research capacity and enhance the educational and research experiences of their undergraduate students.

Within the larger goal of expanding queries for information retrieval, the project will 1) use a crowdsourcing based approach to perform large scale manual annotation of visual regions of interest (ROIs) by pairing automatically detected ROIs to concepts occurring in a brief caption, 2) use a feature learning approach to extract discriminative features from ROIs and automatically map the ROIs to concepts in an existing textual ontology, such as RadLex, 3) aided by a visual ontology, consider the semantic relations between the visual words when assessing the distance between images described with the bag-of-visual-words feature representation scheme, 4) in addition to cross modal search by mapping image regions to concepts in ontology, perform multimodal search by fusing weighted text and image features generated by a multi-response linear regression (MLR)-based meta-learner in a classification-driven task-specific manner, and 5) evaluate the retrieval techniques using benchmark and realistic datasets by participating in the yearly ImageCLEF retrieval evaluation campaign. The labeled set of biomedical images with annotated regions of interest will be made available to the research community.


Prive N.C.,Morgan State University | Errico R.M.,Morgan State University | Tai K.-S.,Science Systems And Applications Inc.
Quarterly Journal of the Royal Meteorological Society | Year: 2013

A global Observing System Simulation Experiment (OSSE) framework has been developed at the National Aeronautics and Space Administration Global Modeling and Assimilation Office (NASA/GMAO). The OSSE uses a 13-month integration of the European Centre for Medium-Range Weather Forecasts (ECMWF) operational model as the Nature Run, and the Goddard Earth Observing System version-5 (GEOS-5) forecast model with Gridpoint Statistical Interpolation (GSI) data assimilation as the forecast model. Synthetic observations have been developed with correlated observation errors to replicate the observing network from 2005-2006. The performance of the GMAO OSSE in terms of forecast skill and observation impacts is evaluated against real observational data for the same period. Metrics of anomaly correlation of 500 hPa geopotential and root-mean-square error of temperature and wind fields for 120 h forecasts are calculated for once-daily forecasts from July 2005, and an adjoint is used to measure observation impacts of different data types. The forecast skill of the OSSE is found to be slightly higher than for real data, with smaller observation impacts overall, possibly due to insufficient model error in the OSSE. While there is similar relative ranking of observation impact for most data types in the OSSE compared with real data, for individual satellite channels the agreement is not as good. Some caveats and difficulties of using the OSSE system are discussed along with recommendations of how to avoid potential pitfalls when performing OSSEs. © 2012 Royal Meteorological Society. Source

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