Six-year mortality in a street-recruited cohort of homeless youth in San Francisco, California.

Objectives. The mortality rate of a street-recruited homeless youth cohort in the United States has not yet been reported. We examined the six-year mortality rate for a cohort of street youth recruited from San Francisco street venues in 2004. Methods. Using data collected from a longitudinal, venue-based sample of street youth 15-24 years of age, we calculated age, race, and gender-adjusted mortality rates. Results. Of a sample of 218 participants, 11 died from enrollment in 2004 to December 31, 2010. The majority of deaths were due to suicide and/or substance abuse. The death rate was 9.6 deaths per hundred thousand person-years. The age, race and gender-adjusted standardized mortality ratio was 10.6 (95% CI [5.3-18.9]). Gender specific SMRs were 16.1 (95% CI [3.3-47.1]) for females and 9.4 (95% CI [4.0-18.4]) for males. Conclusions. Street-recruited homeless youth in San Francisco experience a mortality rate in excess of ten times that of the states general youth population. Services and programs, particularly housing, mental health and substance abuse interventions, are urgently needed to prevent premature mortality in this vulnerable population

Assessing dPrestin & NaDC1 (Indy) Interaction on Calcium Oxalate Crystal Formation in a Drosophila Model of Kidney Stones

Calcium oxalate (CaOx) accounts for \u3e70%of kidney stones, yet why CaOx stones form is poorly understood. While several factors contribute to the stone aggregation and growth, elucidating the roles of oxalate transporters can help demystify this phenomenon. Using a Drosophila model to study the formation and inhibition of CaOx crystals in the fly Malpighian tubule (MT), oxalate transport via dPrestin—the fly Slc26a6 Cl-/Ox2- exchanger was studied using both electrophysiology and MT dissection with CaOx birefringence assays. Here, the fly model suffices as it recapitulates renal oxalate excretion. Additionally, the mammalian dicarboxylate transporter NaDC1 (Indy in Drosophila) was shown to have a protein-protein interaction with Slc26a6 such that oxalate transport is increased [Ohana, 2013, PMID 3785279]. This study sought to test if oxalate transport is altered in the fly model. To control MT perfusion in these studies, a microfluidic device was developed to allow both bath and luminal access while using knockdowns and genetically encoded pH and voltage sensors. Preliminary results from ex vivo MT CaOx assays reveal crystal decreases with either dPrestin or INDY knockdown (RNAi) alone. Voltage clamp experiments will test if co-expression of dPrestin and dINDY (Xenopus oocytes) increase oxalate transport as observed with mammalian clones. This work investigates the mechanisms of CaOx formation in the renal system via two transporters. Further work includes developing a fully functional microfluidic platform for assessing the formation of CaOx in a physiologically accurate renal tubule system

Building fault detection data to aid diagnostic algorithm creation and performance testing.

It is estimated that approximately 4-5% of national energy consumption can be saved through corrections to existing commercial building controls infrastructure and resulting improvements to efficiency. Correspondingly, automated fault detection and diagnostics (FDD) algorithms are designed to identify the presence of operational faults and their root causes. A diversity of techniques is used for FDD spanning physical models, black box, and rule-based approaches. A persistent challenge has been the lack of common datasets and test methods to benchmark their performance accuracy. This article presents a first of its kind public dataset with ground-truth data on the presence and absence of building faults. This dataset spans a range of seasons and operational conditions and encompasses multiple building system types. It contains information on fault severity, as well as data points reflective of the measurements in building control systems that FDD algorithms typically have access to. The data were created using simulation models as well as experimental test facilities, and will be expanded over time

The Impact of Food Away from Home on Adult Diet Quality

Food away from home (FAFH) has been associated with poor diet quality in many studies. It is difficult, however, to measure the effect of FAFH on diet quality since many unobserved factors, such as food preferences and time constraints, influence not just our choice of where to eat but also the nutritional quality of what we eat. Using data from 1994-96 and 2003-04, this study applies fixed-effects estimation to control for such unobservable influences and finds that, for the average adult, FAFH increases daily caloric intake and reduces diet quality. The effects vary depending on which meals are consumed away from home. On average, breakfast away from home decreases the number of servings of whole grains and dairy consumed per 1,000 calories and increases the percent of calories from saturated and solid fat, alcohol, and added sugar (SoFAAS) in a day. Dinner away from home reduces the number of servings of vegetables consumed per 1,000 calories for the average adult. Breakfast and lunch away from home increase calories from saturated fat and SoFAAS on average more among dieters than among nondieters. Some of the overall negative dietary effects decreased between 1994-96 and 2003-04, including those on whole grain, sodium, and vegetable consumption.Food away from home (FAFH), diet quality, 2005 Healthy Eating Index (HEI-2005), fixed-effects, first-difference, Continuing Survey of Food Intakes by Individuals (CSFII), National Health and Nutrition Examination Survey (NHANES), Health Economics and Policy,