Addressing Lapses in Medical Education in Relation to LGBTQIA+ Healthcare Disparities

As the LGBT community gains more visibility and acceptance, the individuals identifying as LGBTQIA+ have been increasing. Unfortunately for this community, healthcare disparities for LGBT individuals continue. In fact in a national online survey done with LGBTQIA+ physicians, 65% had heard discriminatory comments made towards LGBTQIA+ patients, and 34% witnessed discriminatory care given to LGBTQIA+ patients. (Bonvinci) Rose Chapman, a senior lecturer at Curtin University Nursing School, contributed this discomfort that medical professionals seem to have with LGBTQIA+ families with socioeconomic background such as religious beliefs or familiarity with the topic. (Chapman) Nevertheless, another study published by the Medical Journal “Family Medicine”, credits that this discomfort Medical Professionals have with LGBTQIA+ patients can be combated strongly with increased clinical exposure and awareness. (Sanchez) This is where medical education becomes crucial to the care and development of the LGBTQIA+ Community. With exposure and experience comes the competence to treat patients. By increasing medical education to encompass the LGBTQIA+ Community, we consequently create better access towards these patients.However, in 2011, over 33% of current US medical schools reported no integration of LGBTQIA+ healthcare in their medical curriculums. And of the schools that did claim competence in this community, they reported a national median of an inadequate 5 hours devoted to LGBTQIA+ related healthcare over a 4 years curriculum. (Bovinci) While it is notably more than in 1991 with over 50% of schools reporting no LGBTQIA+ healthcare, it stops short of what progress this insufficient increase to exposure over the last two decades entails. (Bonvinci) There are currently few studies, if any, addressing the specific areas of LGBTQIA+ healthcare included in medical education, or the success of this inclusion on medical students competence and knowledge.This project addressed these gaps by asking medical students about LGBTQIA+ healthcare specifics; it is novel because it included specific understanding of topics such as the use of Preventative Exposure Prophylaxis (PrEP) and Post-exposure Prophylaxis (PEP), and others such as transition assistance for trans patients, HRT, and other topics as well. We surveyed primarily current medical students and determined their understanding of healthcare needs for LGBTQIA+ patients based on their current medical education. We then used this data to analyze strengths and weaknesses of LGBT healthcare in medical education. With this information we can now target specific areas of LGBTQIA+ healthcare disparities, and integrate these more into medical education and medical school curricula. From here, we can also look into the value this will play for public health disparities across communities

Brownian Dynamics, Time-averaging and Colored Noise

We propose a method to obtain the equilibrium distribution for positions and velocities of a one-dimensional particle via time-averaging and Laplace transformations. We apply it to the case of a damped harmonic oscillator in contact with a thermal bath. The present method allows us to treat, among other cases, a Gaussian noise function exponentially correlated in time, e.g., Gaussian colored noise. We obtain the exact equilibrium solution and study some of its properties.Comment: 1 figur

Quantum Correlation in One-dimensional Extend Quantum Compass Model

We study the correlations in the one-dimensional extended quantum compass model in a transverse magnetic field. By exactly solving the Hamiltonian, we find that the quantum correlation of the ground state of one-dimensional quantum compass model is vanishing. We show that quantum discord can not only locate the quantum critical points, but also discern the orders of phase transitions. Furthermore, entanglement quantified by concurrence is also compared.Comment: 8 pages, 14 figures, to appear in Eur. Phys. J.

Low-Level ionizing radiation induces selective killing of HIV-1-infected cells with reversal of cytokine induction using mtor inhibitors

HIV-1 infects 39.5 million people worldwide, and cART is effective in preventing viral spread by reducing HIV-1 plasma viral loads to undetectable levels. However, viral reservoirs persist by mechanisms, including the inhibition of autophagy by HIV-1 proteins (i.e., Nef and Tat). HIV-1 reservoirs can be targeted by the “shock and kill” strategy, which utilizes latency-reversing agents (LRAs) to activate latent proviruses and immunotarget the virus-producing cells. Yet, limitations include reduced LRA permeability across anatomical barriers and immune hyper-activation. Ionizing radiation (IR) induces effective viral activation across anatomical barriers. Like other LRAs, IR may cause inflammation and modulate the secretion of extracellular vesicles (EVs). We and others have shown that cells may secrete cytokines and viral proteins in EVs and, therefore, LRAs may contribute to inflammatory EVs. In the present study, we mitigated the effects of IR-induced inflammatory EVs (i.e., TNF-α), through the use of mTOR inhibitors (mTORi; Rapamycin and INK128). Further, mTORi were found to enhance the selective killing of HIV-1-infected myeloid and T-cell reservoirs at the exclusion of uninfected cells, potentially via inhibition of viral transcription/translation and induction of autophagy. Collectively, the proposed regimen using cART, IR, and mTORi presents a novel approach allowing for the targeting of viral reservoirs, prevention of immune hyper-activation, and selectively killing latently infected HIV-1 cells

An Integrated TCGA Pan-Cancer Clinical Data Resource to Drive High-Quality Survival Outcome Analytics

For a decade, The Cancer Genome Atlas (TCGA) program collected clinicopathologic annotation data along with multi-platform molecular profiles of more than 11,000 human tumors across 33 different cancer types. TCGA clinical data contain key features representing the democratized nature of the data collection process. To ensure proper use of this large clinical dataset associated with genomic features, we developed a standardized dataset named the TCGA Pan-Cancer Clinical Data Resource (TCGA-CDR), which includes four major clinical outcome endpoints. In addition to detailing major challenges and statistical limitations encountered during the effort of integrating the acquired clinical data, we present a summary that includes endpoint usage recommendations for each cancer type. These TCGA-CDR findings appear to be consistent with cancer genomics studies independent of the TCGA effort and provide opportunities for investigating cancer biology using clinical correlates at an unprecedented scale. Analysis of clinicopathologic annotations for over 11,000 cancer patients in the TCGA program leads to the generation of TCGA Clinical Data Resource, which provides recommendations of clinical outcome endpoint usage for 33 cancer types

Search for direct production of charginos and neutralinos in events with three leptons and missing transverse momentum in √s = 7 TeV pp collisions with the ATLAS detector

A search for the direct production of charginos and neutralinos in final states with three electrons or muons and missing transverse momentum is presented. The analysis is based on 4.7 fb−1 of proton–proton collision data delivered by the Large Hadron Collider and recorded with the ATLAS detector. Observations are consistent with Standard Model expectations in three signal regions that are either depleted or enriched in Z-boson decays. Upper limits at 95% confidence level are set in R-parity conserving phenomenological minimal supersymmetric models and in simplified models, significantly extending previous results

Jet size dependence of single jet suppression in lead-lead collisions at sqrt(s(NN)) = 2.76 TeV with the ATLAS detector at the LHC

Measurements of inclusive jet suppression in heavy ion collisions at the LHC provide direct sensitivity to the physics of jet quenching. In a sample of lead-lead collisions at sqrt(s) = 2.76 TeV corresponding to an integrated luminosity of approximately 7 inverse microbarns, ATLAS has measured jets with a calorimeter over the pseudorapidity interval |eta| < 2.1 and over the transverse momentum range 38 < pT < 210 GeV. Jets were reconstructed using the anti-kt algorithm with values for the distance parameter that determines the nominal jet radius of R = 0.2, 0.3, 0.4 and 0.5. The centrality dependence of the jet yield is characterized by the jet "central-to-peripheral ratio," Rcp. Jet production is found to be suppressed by approximately a factor of two in the 10% most central collisions relative to peripheral collisions. Rcp varies smoothly with centrality as characterized by the number of participating nucleons. The observed suppression is only weakly dependent on jet radius and transverse momentum. These results provide the first direct measurement of inclusive jet suppression in heavy ion collisions and complement previous measurements of dijet transverse energy imbalance at the LHC.Comment: 15 pages plus author list (30 pages total), 8 figures, 2 tables, submitted to Physics Letters B. All figures including auxiliary figures are available at http://atlas.web.cern.ch/Atlas/GROUPS/PHYSICS/PAPERS/HION-2011-02