University of Maryland, Baltimore County
Not a member yet
    17643 research outputs found

    Untitled [Circle of stripes]

    No full text
    Rick_Salafia__Kutztown_University_February_22__2014_at_0838AMThese images were created as part of the Hughes Remix project, a collaborative endeavor developed by UMBC's Albin O. Kuhn Library Special Collections and the Department of Visual Art to foster creative engagement with archival holdings in conjunction with the 2014 Society for Photographic Education annual conference. UMBC's Special Collections offered a selection of images from the Hughes Company Glass Negatives (http://contentdm.ad.umbc.edu/cdm/landingpage/collection/hughes) collection for SPE members and conference attendees to remix, reinvent, reinterpret, and reimagine the images in this collection of Baltimore street scenes, promotional and advertising photographs, businesses, churches, schools, monuments, factories, machinery, and portraits. Images that were created were displayed during the conference as well as on a Tumblr site and are now archived in the Special Collections. Full details of the project can be found at: http://hughes-remix.tumblr.com/overview.The original Hughes Company Glass Negatives collection can be found at: http://contentdm.ad.umbc.edu/cdm/landingpage/collection/hughe

    Untitled [Two nurses and a baby in front of black background]

    No full text
    Stephanie_Robbins_Thulin__Associate_Professor__Shepherd_University__Shepherdstown__West_Virginia_February_23__2014_at_1251AMThese images were created as part of the Hughes Remix project, a collaborative endeavor developed by UMBC's Albin O. Kuhn Library Special Collections and the Department of Visual Art to foster creative engagement with archival holdings in conjunction with the 2014 Society for Photographic Education annual conference. UMBC's Special Collections offered a selection of images from the Hughes Company Glass Negatives (http://contentdm.ad.umbc.edu/cdm/landingpage/collection/hughes) collection for SPE members and conference attendees to remix, reinvent, reinterpret, and reimagine the images in this collection of Baltimore street scenes, promotional and advertising photographs, businesses, churches, schools, monuments, factories, machinery, and portraits. Images that were created were displayed during the conference as well as on a Tumblr site and are now archived in the Special Collections. Full details of the project can be found at: http://hughes-remix.tumblr.com/overview.The original Hughes Company Glass Negatives collection can be found at: http://contentdm.ad.umbc.edu/cdm/landingpage/collection/hughe

    Factors Influencing Registered Nurses' Choice of Graduate Program Concentration and Career Intent

    No full text
    The shortage of nursing faculty in pre-licensure registered nursing education programs is a problem that could affect the United States health care system. A lack of qualified nursing faculty will limit the number of students accepted into nursing programs and the number of registered nurses produced for the workforce. Research investigating reasons why nurses enter faculty positions is limited. This study examined the effects of external factors on the decision of registered nurses seeking graduate education to choose nursing education as a major or teaching as a career path. Relationships between perceived employment opportunities, faculty salaries, prestige of faculty role, opinions about pre-licensure nursing education, and the choice of graduate concentration and academic career goal were investigated. Analysis models were based on current literature and Krumboltz's Social Learning Theory of Career Decision Making, which states that career decisions are based on multiple influential factors and interactions. A non-experimental research design with a 43 item survey tool developed by the investigator was used for data collection. The tool was administered to 218 graduate students in five university nursing programs in Maryland. The response rate was 88%. Correlation and regression analysis revealed significant relationships (p < .05) between intent to pursue an education major and academic career, and several influential factors. The odds of majoring in nursing education were lower for students who considered employment opportunities important (OR= .60) and for students with the opinion that the bachelor's degree should be the entry-level education for registered nurses (OR = .68). Black nursing graduate students had higher odds than non-white students of choosing a concentration in nursing education (OR= 4.55). Findings also indicated that students who considered faculty salary a consideration in employment (OR =1.50), married students (OR=3.25), and students with at least one child under age 18 (OR = 1.57) had higher odds of expressing intent to teach. These results indicate that faculty salary is not the only variable in nursing graduate education and career decisions. More research is needed to better understand associations between nurses' opinions on entry level education and other factors related to the nursing faculty shortage

    The Other Side of the Riot: White Baltimoreans' Experiences During the 1968 Riot

    No full text
    Following the assassination of Dr. Martin Luther King on April 4th cities across America descended into rioting as blacks vented their frustration with a repressive society. Baltimore City initially seemed to escape the rioting, but after a few tense days it also descended into destructive chaos. The disturbance has been assigned a place of infamy in the memory of many white residents, which are commonly believed to have relatively similar experiences and reactions. Using oral histories of white Baltimoreans from Northern Baltimore County, Highlandtown, and Park Heights I argue that the white experience was not that simple. Due to influences such as geographic location, class, and religion all three neighborhoods had very different experiences and reactions to the riot

    That which is spirit is spirit: Male and Female Quaker Perspectives in Political Context

    No full text
    Female Quaker preachers of mid-seventeenth century England perplexed their non-Quaker contemporaries, but found initial encouragement within their sect. Despite extensive research conducted on and about Quakerism and its members during the English civil wars and Revolution some questions are left unanswered, in particular connections between male and female members are often overlooked. Since the Quaker sect valued spiritual egalitarianism, the contributions of each sex deserve examination. This study applies a comparative gendered approach to Quaker attitudes towards female preaching through the mid- and late-seventeenth century. It is essential to examine the male perspective on female preaching alongside female perspectives because the men initially supported the public presence of women despite its clear opposition to patriarchal society and English views of masculinity. In this thesis I explore the varied ideas and attitudes toward acceptable preaching during the political upheaval of the civil war years of the 1640s, the justifications for Quaker preaching methods as provided by male and female Friends during the Protectorate of the 1650s, and how these ideas compared to the Quietist changes instituted by the sect in the Restoration years following 1660. Analysis of publications authored by non-Quakers demonstrates the established acceptable preaching actions in the seventeenth-century and therefore provides a larger context for understanding the radical label applied to Quakerism. This information further expands our knowledge of the internal perceptions of preaching and progression of Quakerism toward Quietism in the 1660s as well as provide solid examples of how the Inner Light was interpreted as spiritual equality

    Mapping the Journey of Community College Honors Students: Toward the Identification and Duplication of Student Success

    No full text
    In an effort to build a diverse, scalable Honors Program, this research considers two major issues that community college Honors Programs often face: homogeneity amongst its membership and the growing percentage of developmental students amongst the general college population. Surveys conducted in the Fall of 2012 at The Community College of Baltimore County (CCBC) confirm that the CCBC Honors Program suffers from demographic issues shared by many community college Honors Programs nationally, whose students are often younger, more affluent, and more likely to be White than their classmates in the college general population. Meanwhile, community colleges face an ever-increasing percentage of students with developmental educational needs. To better reflect the general community college's population, Honors Programs, whether they seek growth or simply program maintenance, must find ways to diversify their program enrollment by attracting students who have recently completed developmental coursework and may not have the initial academic self-confidence to apply. This project takes a qualitative, success-based approach to research at the community college, seeking ways to diversify Honors Programs. Through intensity sampling of students at CCBC, focus group and interview research was conducted with 29 students who began their coursework in developmental education, many from underrepresented populations, including Black/African-American students, first-generation college students, and students of nontraditional college age. This research highlighted several similar components of the successful, and perhaps unlikely, Honors students' journey, from their starting location, through their early progress, and impediments to their advancement. From these students' journeys, the study includes recommendations for program reforms that can lead to an increase in Honors applications amongst students originating in developmental education and a methodological approach to Honors research that privileges student voice, most importantly that of Honors students from underrepresented populations

    Social Security Policymaking: An Examination of Select Policies in the U.S. Social Security System

    No full text
    This dissertation examines three distinct although related issues in the policy history of the U.S. Social Security system. I examine the thesis that when agricultural and domestic employments were excluded from coverage in the 1935 Social Security Act, this was an act of racial bias against African-Americans. I show that this thesis is both conceptually flawed and disproven by the available empirical evidence. I examine the thesis that the Social Security program has contained or does contain gender biases against women. I show that indeed there have been numerous gendered policies in Social Security. However, contrary to the claims and assumptions of the standard thesis, these gendered policies have overwhelmingly benefited women and disadvantaged men. I examine the period between the major legislation of the 1939 Social Security Amendments and the important amendments of 1950. In the standard view, this period has generally been characterized as a time of quiescence in policymaking. About the only policy activity between these two milestones was a series of freezes in taxing policy whereby scheduled tax rate increases were not permitted to take effect. Most scholars have ignored these freezes, believing them of little significance. I argue that these rate freezes were an important reversal in existing Social Security policy. I also undertake a systematic effort to assess the impact of these policies on the financing of the program. I find that for a decade or more during these years the Social Security system was almost certainly insolvent in the long-run. The dissertation opens with a short general discussion of policy history as a discipline and the basic conceptual and theoretical context for the type of policy history pursued in this research. I then turn to a brief introduction to the Social Security program, to frame the necessary context for the more detailed work to follow. These two opening sections are followed by the three major parts of the dissertation, in which I examine each of the three indicated theses in detail

    Retrieving Quantifiable Social Media Data From Human Sensor Networks For Disaster Modeling And Crisis Mapping

    No full text
    This dissertation presents a novel approach that utilizes quantifiable social media data as a human aware, near real-time observing system, coupled with geophysical predictive models for improved response to disasters and extreme events. It shows that social media data has the potential to significantly improve disaster management beyond informing the public, and emphasizes the importance of different roles that social media can play in management, monitoring, modeling and mitigation of natural and human-caused extreme disasters. In the proposed approach Social Media users are viewed as human sensors that are deployed in the field, and their posts are considered to be sensor observations, thus different social media outlets all together form a Human Sensor Network. We utilized the human sensor observations, as boundary value forcings, to show improved geophysical model forecasts of extreme disaster events when combined with other scientific data such as satellite observations and sensor measurements. Several recent extreme disasters are presented as use case scenarios. In the case of the Deepwater Horizon oil spill disaster of 2010 that devastated the Gulf of Mexico, the research demonstrates how social media data from Flickr can be used as a boundary forcing condition of GNOME oil spill plume forecast model, and results in an order of magnitude forecast improvement. In the case of Hurricane Sandy NY/NJ landfall impact of 2012, we demonstrate how the model forecasts, when combined with social media data in a single framework, can be used for near real-time forecast validation, damage assessment and disaster management. Owing to inherent uncertainties in the weather forecasts, the NOAA operational surge model only forecasts the worst-case scenario for flooding from any given hurricane. Geolocated and time-stamped Instagram photos and tweets allow near real-time assessment of the surge levels at different locations, which can validate model forecasts, give timely views of the actual levels of surge, as well as provide an upper bound beyond which the surge did not spread. Additionally, we developed AsonMaps--a crisis-mapping tool that combines dynamic model forecast outputs with social media observations and physical measurements to define the regions of event impacts

    Comparison of Cloud Security Standards & Cloud Security control recommendation System

    No full text
    Cloud services are becoming an essential part of many organizations. Cloud providers have to adhere to security and privacy policies to ensure their users' data remains confidential and secure. On one end, cloud providers are implementing their own security and privacy controls. On the other hand, standards bodies like Cloud Security Alliance (CSA), International Organization for Standards (ISO), National Institute for Standards and Technology (NIST), etc. are developing broad standards for cloud security. In this paper we provide a comprehensive analysis of the cloud security standards that are being developed and how they compare with the security controls of cloud providers. Our study is mainly focused on policies about mobility of resources, identity and access management, data protection, incident response & audit and assessment. This paper will help consumer organizations with their compliance needs by evaluating the security controls and policies of cloud providers and assisting them in identifying their enterprise cloud security policies

    Real-time Disaster Crisis Mapping based on Classification and Geo-location Recognition in Tweets.

    No full text
    Generally, one finds a large percentage of social media data, such as Tweets or Instagram, lack Geo-tagged location in their metadata, minimizing their use in generating Crisis Maps during natural and human caused disasters. In the following work, we will determine the 'at risk' areas for particular geographical locations(New York State for this current research) through post- disaster events such as Hurricane Sandy by the analysis of all tweets originating from the Geo-location area under consideration through exact string matching of location entities in tweet texts. In this study, we employ the 8 Million Twitter data set collected by Aulov, Price and Halem stored in Couch DB. We use a Named Entity Analysis algorithm, based on the Sultanik and Fink, to obtain locations of places mentioned tweets without geo -location tags, thus increasing spatial information relevant to developing real-time Crisis Maps of the affected disaster areas being impacted under hurricane events or other related extreme natural events. The algorithm for Geo-location recognition is based on forming N-Gram tokens extracted from text in the tweet which are further mapped against a location gazetteer to obtain the coordinates of the locations or places through exact string matching in the gazetteer. The location gazetteer contains key-value pairs of the name and alternate names of the places, belonging to New York State as 'key' and their coordinates as 'value'. Once all the locations are found, an augmented Crisis Map consisting of both Geo-tagged and inferred locations is shown to increase the observations of the impacted areas. We show that based on an increase in frequency of locations, `at-risk' areas can be distinguished from `impacted' areas

    1

    full texts

    17,643

    metadata records
    Updated in last 30 days.
    University of Maryland, Baltimore County
    Access Repository Dashboard
    Do you manage Open Research Online? Become a CORE Member to access insider analytics, issue reports and manage access to outputs from your repository in the CORE Repository Dashboard! 👇