Texas Southern University
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Born To Serve: A History of Texas Southern University
No full textMerline Pitre frames TSU\u27s biography within the history of higher education for African Americans in Texas, from Reconstruction to the Supreme court decision that gives the school its start. The case, Sweatt v. Painter, involved the student Heman Marion Sweatt, denied entry into the to the University of Texas Law School because he was black
Implications of social media use on instruction and student learning: An exploratory study
Get PDFDespite being a norm in contemporary organizations including in academia, there is limited understanding how multimedia technology use might impact learning. We have also seen a rise in the use of social media applications such as Facebook, tweeter, Instagram, skype, flickr, and blogging among students, but it is unclear the extent to which the academe embraces these applications. In this study, we examine the potential role of multimedia technology and social media use in the learning process. We explore the potential implications for instruction and on student learning of the marriage between multimedia technology and social media use. Focusing on the content delivery component of instruction, we explore potential relationship between the rich multimedia content in Multimedia Information Networks (MINets)-- the structured media collections such as documents, images and videos that are linked by nodes, and the ongoing developments in social media to the learning process. We propose a framework that links instructor to students through social media-- supposing that learning impacts of social media depend upon the interface of the content, particular medium adopted, instructor and student demographics including learning style, teaching style and instructor skills. That is, social media becomes a channel through which learning occurs. Classifying multimedia technology as tools and social media as interactive Web 2.0 Internet-based applications, we employ case studies in developing the framework and we follow up with a discussion of potential implications of social media applications in academia
Predicting Staff Assault in Juvenile Correctional Facilities
Get PDFThis study examines the predictive utility of the community-based Positive Achievement Change Tool–Prescreen (PACT-PS) for staff assault in a sample of 787 state-committed male youth. Bivariate and multivariate analyses indicated the PACT-PS failed to predict staff assault across racial/ethnic groups. Notably, this study also found youth with serious delinquent histories and prior commitments improved the PACT-PS’s ability to predict staff assault. Limitations of this study, suggestions for future research, and practical implications are discussed
Ambivalence: A key to clinical trial participation?
Get PDFTrust exerts a multidimensional influence at the interpersonal level in the clinical trials setting. Trust and distrust are dynamic states that are impacted, either positively or negatively, with each participant-clinical trials team interaction. Currently, accepted models of trust posit that trust and distrust coexist and their effects on engagement and retention in clinical trials are mediated by ambivalence. While understanding of trust has been informed by a robust body of work, the role of distrust and ambivalence in the trust building process are less well understood. Furthermore, the role of ambivalence and its relationship to trust and distrust in the clinical trials and oncology settings are not known. Ambivalence is a normal and uncomfortable state in the complex decision making process that characterizes the recruitment and active treatment phases of the clinical trials experience. The current review was conducted to understand the constructs of ambivalence as a mediator of trust and distrust among vulnerable, minority participants through different stages of the oncology clinical trials continuum, its triggers and the contextual factors that might influence it in the setting of minority participation in oncology clinical trials. In addition, the researchers have sought to link theory to clinical intervention by investigating the feasibility and role of Motivational Interviewing in different stages of the clinical trials continuum. Findings suggest that ambivalence can be processed and managed to enable a participant to generate a response to their ambivalence. Thus, recognizing and managing triggers of ambivalence, which include, contradictory goals, role conflicts, membership dualities, and supporting participants through the process of reducing ambivalence is critical to successfully managing trust. Contextual factors related to the totality of one\u27s previous health-care experience, specifically among the marginalized or vulnerable, can contribute to interpersonal ambivalence. In addition, changes in information gathering as a moderator of interpersonal ambivalence may have enormous implications for gathering, assessing, and accepting health information. Finally, motivational Interviewing has widespread applications in healthcare settings, which includes enabling participants to navigate ambivalence in shared-decision making with their clinician, as well as executing changes in participant behavior. Ultimately, the Integrated Model of Trust can incorporate the role of therapeutic techniques like Motivational Interviewing in different stages of the clinical trials continuum. Ambivalence is a key component of clinical trial participation; like trust, ambivalence can be managed and plays a major role in the management of trust in interpersonal relationships over time. The management of ambivalence may play a major role in increasing clinical trial participation particularly among the marginalized or the vulnerable, who may be more susceptible to feelings of ambivalence
Single tablet HIV regimens facilitate virologic suppression and retention in care among treatment naïve patients\u3csup\u3e*\u3c/sup\u3e
No full textNewer HIV regimens are typically taken once daily but vary in the number of pills required. Whether the number of pills in a once-daily HIV regimen affects clinical outcomes is unknown. We retrospectively compared adherence, retention in care, and virologic outcomes between patients starting a once daily single-tablet regimen (STR) to patients starting a once-daily multi-tablet regimen (MTR) in a publicly funded clinic in the United States. Outcomes were measured in the year after starting ART and included retention in care, virologic suppression, and medication possession ratio of at least 80%. Data from patients initiating therapy from 1 January 2008 to 31 December 2011 were analyzed with both unadjusted and propensity-score adjusted regression. Overall, 622 patients started with an STR (100% efavirenz-based) and 406 with an MTR (65% atazanavir-based and 35% darunavir-based) regimen. Retention in care was achieved in 80.7% of STR patients vs. 72.7% of MTR patients (unadjusted OR 1.57, 95% CI 1.17–2.11; adjusted OR 1.49, 95% CI 1.10–2.02). Virologic suppression occurred among 84.4% of STR patients vs. 77.6% of MTR patients (unadjusted OR 1.56; 95% CI 1.14–2.15; adjusted OR 1.41; 95% CI 1.02–1.96). There was no difference in the proportion of patients achieving at least 80% adherence, as measured by medication possession ratio (33.0% of STR patients and 30.1% of MTR patients; unadjusted OR 1.14; 95% CI 0.87–1.50; adjusted OR 1.04, CI 0.79–1.38). While it is difficult to eliminate confounding in this observational study, retention in care and virologic outcomes were better in patients prescribed STRs
Redox-Active Metallodithiolene Groups Separated by Insulating Tetraphosphinobenzene Spacers
Get PDFCompounds of the type [(S2C2R2)M(μ-tpbz)M(S2C2R2)] (R = CN, Me, Ph, p-anisyl; M = Ni, Pd, Pt; tpbz = 1,2,4,5-tetrakis(diphenylphosphino)benzene) have been prepared by transmetalation with [(S2C2R2)SnR′2] reagents, by direct displacement of dithiolene ligand from [M(S2C2R2)2] with 0.5 equiv of tpbz, or by salt metathesis using Na2[S2C2(CN)2] in conjunction with X2M(μ-tpbz)MX2 (X = halide). X-ray crystallography reveals a range of topologies (undulating, chair, bowed) for the (S2C2)M(P2C6P2)M(S2C2) core. The [(S2C2R2)M(μ-tpbz)M(S2C2R2)] (R = Me, Ph, p-anisyl) compounds support reversible or quasireversible oxidations corresponding to concurrent oxidation of the dithiolene terminal ligands from ene-1,2-dithiolates to radical monoanions, forming [(-S•SC2R2)M(μ-tpbz)M(-S•SC2R2)]2+. The R = Ph and p-anisyl compounds support a second, reversible oxidation of the dithiolene ligands to their α-dithione form. In contrast, [(S2C2(CN)2)Ni(tpbz)Ni(S2C2(CN)2)] sustains only reversible, metal-centered reductions. Spectroscopic examination of [(-S•SC2(p-anisyl)2)Ni(μ-tpbz)Ni(-S•SC2(p-anisyl)2)]2+ by EPR reveals a near degenerate singlet-triplet ground state, with spectral simulation revealing a remarkably small dipolar coupling constant of 18 × 10-4 cm-1 that is representative of an interspin distance of 11.3 Å. This weak interaction is mediated by the rigid tpbz ligand, whose capacity to electronically insulate is an essential quality in the development of molecular-based spintronic devices
Tuberculosis during pregnancy in the United States: Racial/ethnic disparities in pregnancy complications and in-hospital death
Get PDFBackground: Despite decades of efforts to eliminate tuberculosis (TB) in the United States (US), TB still contributes to adverse ill health, especially among racial/ethnic minorities. According to the Centers for Disease Control and Prevention, in 2016, about 87% of the TB cases reported in the US were among racial and ethnic minorities. The objective of this study is to explore the risks for pregnancy complications and in-hospital death among mothers diagnosed with TB across racial/ethnic groups in the US. Methods: This retrospective cohort study utilized National Inpatient Sample data for all inpatient hospital discharges in the US. We analyzed pregnancy-related hospitalizations and births in the US from January 1, 2002 through December 31, 2014 (n = 57,393,459). Multivariable logistic regression was applied to generate odds ratios for the association between TB status and the primary study outcomes (i.e., pregnancy complications and in-hospital death) across racial/ethnic categories. Results: The prevalence of TB was 7.1 per 100,000 pregnancy-related hospitalizations. The overall prevalence of pregnancy complications was 80% greater among TB-infected mothers than their uninfected counterparts. Severe pre-eclampsia, eclampsia, placenta previa, postpartum hemorrhage, sepsis and anemia occurred with greater frequency among mothers with a TB diagnosis than those without TB, irrespective of race/ethnicity. The rate of in-hospital death among TB patients was 37 times greater among TB-infected than in non-TB infected mothers (468.8 per 100,000 versus 12.6 per 100,000). A 3-fold increased risk of inhospital death was observed among black TB-negative mothers compared to their white counterparts. No racial/ethnic disparities in maternal morbidity or in-hospital death were found among mothers with TB disease. Conclusion: TB continues to be an important cause of morbidity and mortality among pregnant women in the US. Resources to address TB disease should also target pregnant women, especially racial/ethnic minorities who bear the greatest burden of the disease
A subdivision algorithm for h→-Bézier volumes using trivariate h→-Blossoming
No full textWe extend the definition of h-blossoming, introduced by Simeonov, Zafiris, and Goldman, to the trivariate polynomials and we define the h→- Bézier volumes. We derive a subdivision algorithm for h→-Bézier volumes and illustrate it on examples using Mathematica
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Leveraging Decision Making in Cyber Security Analysis through Data Cleaning
Get PDFSecurity Operations Centers (SOCs) have been built in many institutions for intrusion detection and incident response. A SOC employs various cyber defense technologies to continually monitor and control network traffic. Given the voluminous monitoring data, cyber security analysts need to identify suspicious network activities to detect potential attacks. As the network monitoring data are generated at a rapid speed and contain a lot of noise, analysts are so bounded by tedious and repetitive data triage tasks that they can hardly concentrate on in-depth analysis for further decision making. Therefore, it is critical to employ data cleaning methods in cyber situational awareness. In this paper, we investigate the main characteristics and categories of cyber security data with a special emphasis on its heterogeneous features. We also discuss how cyber analysts attempt to understand the incoming data through the data analytical process. Based on this understanding, this paper discusses five categories of data cleaning methods for heterogeneous data and addresses the main challenges for applying data cleaning in cyber situational awareness. The goal is to create a dataset that contains accurate information for cyber analysts to work with and thus achieving higher levels of data-driven decision making in cyber defense