HIV infection in the elderly

In the US, an estimated 1 million people are infected with HIV, although one-third of this population are unaware of their diagnosis. While HIV infection is commonly thought to affect younger adults, there are an increasing number of patients over 50 years of age living with the condition. UNAIDS and WHO estimate that of the 40 million people living with HIV/AIDS in the world, approximately 2.8 million are 50 years and older. With the introduction of highly active antiretroviral therapy (HAART) in the mid-1990s, survival following HIV diagnosis has risen dramatically and HIV infection has evolved from an acute disease process to being managed as a chronic medical condition. As treated HIV-infected patients live longer and the number of new HIV diagnoses in older patients rise, clinicians need to be aware of these trends and become familiar with the management of HIV infection in the older patient. This article is intended for the general clinician, including geriatricians, and will review epidemiologic data and HIV treatment as well as provide a discussion on medical management issues affecting the older HIV-infected patient

Finite-context Indexing of Restricted Output Space for NLP Models Facing Noisy Input

NLP models excel on tasks with clean inputs, but are less accurate with noisy inputs. In particular, character-level noise such as human-written typos and adversarially-engineered realistic-looking misspellings often appears in text and can easily trip up NLP models. Prior solutions to address character-level noise often alter the content of the inputs (low fidelity), thus inadvertently lowering model accuracy on clean inputs. We proposed FiRo, an approach to boost NLP model performance on noisy inputs without sacrificing performance on clean inputs. FiRo sanitizes the input text while preserving its fidelity by inferring the noise-free form for each token in the input. FiRo uses finite-context aggregation to obtain contextual embeddings which is then used to find the noise-free form within a restricted output space. The output space is restricted to a small cluster of probable candidates in order to predict the noise-free tokens more accurately. Although the clusters are small, FiRo's effective vocabulary (union of all clusters) can be scaled up to better preserve the input content. Experimental results show NLP models that use FiRo outperforming baselines on six classification tasks and one sequence labeling task at various degrees of noise.Comment: Accepted at IJCNLP-AACL 202

Mitochondria as a Potential Antifungal Target for Isocyanide Compounds

The discovery of antibiotics and antifungals greatly impacted medicine and human health, allowing the effective treatment of infections that were previously deadly. However, due to routine and sometimes excessive usage of these compounds, the development of antimicrobial resistance has created a need for new antibiotic and antifungal compounds. Isocyanide compounds have been shown to have antibacterial, antifungal, and anti-cancer properties, but very little is known about their biochemical effects. Our research aims to understand the mechanism of action of isocyanide compounds. We have conducted a genetic screen of a Saccharomyces gene-deletion (“knockout”) collection on media containing an easily synthesized model isocyanide compound, para-nitrophenyl isocyanide (p-NPIC). This allowed us to identify genes which, when deleted, render the mutant strains resistant or hypersensitive to the compound. Based on our genetic screen for hypersensitive mutants, we hypothesize that the isocyanides impact mitochondrial function, specifically altering the function of the Cu++-containing respiratory complex, Cytochrome C Oxidase (Complex IV). Our findings provide new information on the mechanism(s) of action of this class of antimicrobials and will help guide the development of new molecules based on lead-compounds such as p-NPIC

Impact of Urea on Size and Red-Edge Emission Spectroscopy of Reverse Micelles

We use reverse micelles (RMs) as our model system to study the impact of osmolytes on water at the nanoscale. Reverse micelles are characterized by w0 = [polar component]/[surfactant]. In our experiment, we focus on 5 different w0 (w0 = 1, 5, 10, 20, 40) and 3 concentrations of urea (0.5M, 1M, 2M). The Dynamic Light Scattering (DLS) illustrates a linear relationship between reverse w0 (the ratio) and size. Additionally, the DLS data indicates that the impact of osmolytes on size for small reverse micelles is not significant. Furthermore, Red-Edge Emission Spectroscopy shows a bigger impact on emission for smaller reverse micelles compared to the larger w0 samples

Healthy Snack Availability Near High- and Low-Income Urban Schools

Children’s snacking habits are influenced by their immediate food environments. Increasingly, findings show that factors such as corner stores near schools are related to obesity. This study was conducted in preparation for a larger, community-based participatory research project to create healthy snacking zones” near schools in a rural Oregon county. The objective was to assess healthy snack availability in stores located within a half mile radius of high- and low-income elementary and middle schools in Portland, Oregon. Using Geographic Information Systems, convenience and food stores were selected and classified as either high- or low income based on % eligibility to receive free or reduced-price lunch at the proximal school. The SNACZ food store checklist was used to evaluate availability of 50 healthy items in single- and multi-portion servings at these stores. A statistical test for the pairwise difference between two proportions was performed to evaluate the relationship between percentage of each single-serving size available and any size product available in the two location categories. Of the fifty snack items, statistically significant differences in availability between high- and low-income stores were found in eight single portion items, and ten items of any size. Single portion snack items were found less frequently than multi-portion items in both high- and low-income stores. Overall, the lack of single-serving healthy snack items in all stores indicates that children who do consume convenience store foods may benefit from healthier, single portion options to inhibit over-consumption and snacks high in fat, sugar, and sodium