Effects of a Geographically-Targeted Intervention and Creative Outreach to Reduce Shelter Intake in Portland, Oregon

Animal shelters focus much of their efforts towards decreasing euthanasia and one of the best ways to reduce euthanasia risk may be to prevent cats and dogs from ever entering a shelter. This study, conducted in Portland, Oregon, relied on the capabilities of Geographic Information Systems (GIS) to precisely and scientifically identify an intervention area (with high shelter intake) and to identify control areas to compare the project results with community-wide trends. The intervention itself was designed and implemented in a comprehensive way by seeking numerous paths to engage pet owners and reduce shelter intake of cats and Pit Bull type dogs. This research highlighted the ability of Geographic Information Systems (GIS) to significantly improve a community's capacity to identify the most appropriate locations to focus resources and to closely track and measure interventions. Portland's targeted intervention to reduce shelter intake utilized many outreach tools with varying levels of impact. The overall intervention yielded a reduction in intake of owned cats that was greater in total numbers and percentage than four control areas. Furthermore, this work identified a percentage of cat spay/neuter out of the estimated number of owned, originally intact cats within the intervention and control areas. As percentages approached or surpassed 20%, those areas realized larger intake reductions than control areas with lower percentages

Correlation between medication administration-related errors in patients with parkinson disease and timing of pharmacy-led best possible medication histories

Background: Poor prescribing and incomplete medication administration have been linked to increased lengths of hospitalization for patients with Parkinson disease. The Institute for Safe Medication Practices (ISMP) has recommended that patients with Parkinson disease receive a pharmacy consultation within 2 h of admission to hospital. Objectives: To examine whether the time for a pharmacy team member to obtain a best possible medication history (BPMH) was associated with administration-related medication errors. The primary outcome was the proportion of doses with a medication error during a patient\u27s admission in relation to the time to completion of the initial BPMH by a registered pharmacist (RPh) or registered pharmacy technician (RPhT). The secondary objective was to compare the proportion of doses with a medication error in relation to whether the BPMH was completed by an RPh or an RPhT. Methods: This retrospective chart review involved patients with Parkinson disease who were admitted to the medicine services at London Health Sciences Centre from September 30, 2014, to September 30, 2018. Patients were included if they had Parkinson disease and a medication regimen that included levodopa-carbidopa. For all patients, an RPhT or RPh conducted the initial BPMH or updated the BPMH. Pearson correlation analysis was used to determine whether a correlation existed between administration-related errors and completion of the BPMH by a pharmacy staff member. Results: A total of 84 patients with 104 admissions were included. There was no significant correlation between the time to completion of the initial BPMH by a pharmacy team member and the proportion of doses with medication errors (p = 0.32). Although RPhTs completed the BPMHs more quickly than RPhs (p \u3c 0.001), there was no significant difference between pharmacy team members in terms of the proportion of doses with medication errors (p = 0.86). Conclusions: Completing a BPMH within 2 h of a patient\u27s admission, as per the ISMP recommendation, is unlikely to affect administration-related medication errors, given that no correlation was identified. Expediting BPMH without addressing other factors is insufficient, and initiatives are required to improve the medication administration process

Application of Synthetic TEMPO Products at NASA SPoRT to Accelerate Use in Air Quality and Public Health Decision Support

No abstract availabl

To what extent may peptide receptor gene diversity/complement contribute to functional flexibility in a simple pattern-generating neural network?

Peptides are known to contribute to central pattern generator (CPG) flexibility throughout the animal kingdom. However, the role played by receptor diversity/complement in determining this functional flexibility is not clear. The stomatogastric ganglion (STG) of the crab, Cancer borealis, contains CPGs that are models for investigating peptidergic control of rhythmic behavior. Although many Cancer peptides have been identified, their peptide receptors are largely unknown. Thus, the extent to which receptor diversity/complement contributes to modulatory flexibility in this system remains unresolved. Here, a Cancer mixed nervous system transcriptome was used to determine the peptide receptor complement for the crab nervous system as a whole. Receptors for 27 peptide families, including multiple receptors for some groups, were identified. To increase confidence in the predicted sequences, receptors for allatostatin-A, allatostatin-B, and allatostatin-C were cloned, sequenced, and expressed in an insect cell line; as expected, all three receptors trafficked to the cell membrane. RT-PCR was used to determine whether each receptor was expressed in the Cancer STG. Transcripts for 36 of the 46 identified receptors were amplified; these included at least one for each peptide family except RYamide. Finally, two peptides untested on the crab STG were assessed for their influence on its motor outputs. Myosuppressin, for which STG receptors were identified, exhibited clear modulatory effects on the motor patterns of the ganglion, while a native RYamide, for which no STG receptors were found, elicited no consistent modulatory effects. These data support receptor diversity/complement as a major contributor to the functional flexibility of CPGs

Dietary Methionine Restriction Regulates Liver Protein Synthesis and Gene Expression Independently of Eukaryotic Initiation Factor 2 Phosphorylation in Mice

Background: The phosphorylation of eukaryotic initiation factor 2 (p-eIF2) during dietary amino acid insufficiency reduces protein synthesis and alters gene expression via the integrated stress response (ISR).Objective: We explored whether a Met-restricted (MR) diet activates the ISR to reduce body fat and regulate protein balance.Methods: Male and female mice aged 3-6 mo with either whole-body deletion of general control nonderepressible 2 (Gcn2) or liver-specific deletion of protein kinase R-like endoplasmic reticulum kinase (Perk) alongside wild-type or floxed control mice were fed an obesogenic diet sufficient in Met (0.86%) or an MR (0.12% Met) diet for ≤5 wk. Ala enrichment with deuterium was measured to calculate protein synthesis rates. The guanine nucleotide exchange factor activity of eIF2B was measured alongside p-eIF2 and hepatic mRNA expression levels at 2 d and 5 wk. Metabolic phenotyping was conducted at 4 wk, and body composition was measured throughout. Results were evaluated with the use of ANOVA (P < 0.05).Results: Feeding an MR diet for 2 d did not increase hepatic p-eIF2 or reduce eIF2B activity in wild-type or Gcn2-/- mice, yet many genes transcriptionally regulated by the ISR were altered in both strains in the same direction and amplitude. Feeding an MR diet for 5 wk increased p-eIF2 and reduced eIF2B activity in wild-type but not Gcn2-/- mice, yet ISR-regulated genes altered in both strains similarly. Furthermore, the MR diet reduced mixed and cytosolic but not mitochondrial protein synthesis in both the liver and skeletal muscle regardless of Gcn2 status. Despite the similarities between strains, the MR diet did not increase energy expenditure or reduce body fat in Gcn2-/- mice. Finally, feeding the MR diet to mice with Perk deleted in the liver increased hepatic p-eIF2 and altered body composition similar to floxed controls.Conclusions: Hepatic activation of the ISR resulting from an MR diet does not require p-eIF2. Gcn2 status influences body fat loss but not protein balance when Met is restricted

Impact of Obesity in Patients with Candida Bloodstream Infections: A Retrospective Cohort Study

© 2020, The Author(s). Background: Candida species are responsible for 15% of bloodstream infections, leading to prolonged hospitalizations and increased mortality. With the rise in obesity, antifungal dosing is unclear. The purpose of this study was to determine differences in clinical outcomes between obese versus non-obese patients with Candida bloodstream infections. Methods: This retrospective cohort included adult patient’s first episode of Candida bloodstream infection treated with ≥ 48 h of antifungal therapy between 1 June 2013 and 31 August 2019. Patients were excluded for: dual systemic antifungal therapy, polymicrobial infections, or chronic candidiasis. The primary outcome was infection-related length of stay. Secondary outcomes included: time to candidemia resolution, 30-day readmission rates, and in-hospital mortality. Results: Eighty patients were included (28 obese; 52 non-obese). Most were male (55%); median age was 54 years. Median BMI and weight were 36.3 kg/m2 and 103 kg versus 20.4 kg/m2 and 61 kg, respectively (p \u3c 0.01). Baseline characteristics were comparable. C. albicans was isolated in 37.5% of cultures and C. glabrata in 30%. Micafungin was utilized empirically in 72.5% of patients; obese patients received definitive micafungin more frequently (57.1% vs. 21.2%; p \u3c 0.01) and were treated longer (13 versus 10 days; p = 0.04). Infection-related length of stay was 19 days in the obese patients and 13 days in the non-obese patients (p = 0.05). Non-obese patients had a shorter duration of candidemia (5 versus 6 days; p = 0.02). In-hospital mortality was numerically higher in obese patients (21.4% versus 13.5%; p = 0.36). There were no differences in 30-day readmissions between groups. Conclusions: Worse clinical outcomes were observed for obese versus non-obese patients. Further clinical research is warranted

Have Gender Gaps in Math Closed? Achievement, Teacher Perceptions, and Learning Behaviors Across Two ECLS-K Cohorts

Studies using data from the Early Childhood Longitudinal Study–Kindergarten Class of 1998–1999 (ECLS-K:1999) revealed gender gaps in mathematics achievement and teacher perceptions. However, recent evidence suggests that gender gaps have closed on state tests, raising the question of whether such gaps are absent in the ECLS-K:2011 cohort. Extending earlier analyses, this study compares the two ECLS-K cohorts, exploring gaps throughout the achievement distribution and examining whether learning behaviors might differentially explain gaps more at the bottom than the top of the distribution. Overall, this study reveals remarkable consistency across both ECLS-K cohorts, with the gender gap developing early among high achievers and spreading quickly throughout the distribution. Teachers consistently rate girls’ mathematical proficiency lower than that of boys with similar achievement and learning behaviors. Gender differences in learning approaches appear to be fairly consistent across the achievement distribution, but girls’ more studious approaches appear to have more payoff at the bottom of the distribution than at the top. Questions remain regarding why boys outperform girls at the top of the distribution, and several hypotheses are discussed. Overall, the persistent ECLS-K patterns make clear that girls’ early mathematics learning experiences merit further attention

Multi-person sex among a sample of adolescent female urban health clinic patients

Adolescent sexual activity involving three or more people is an emerging public health concern. The goal of this exploratory, cross-sectional study was to describe the prevalence, correlates, and context of multiple-person sex among a sample of adolescent females seeking health care from an urban clinic. Because sex involving multiple people may either be consensual (i.e., “three-ways” or “group sex”) or forced (i.e., “gang rape”), we use the term “multi-person sex” (MPS) to encompass these experiences. Subjects were 328 females, ages 14–20 years old, who utilized a Boston-area community- or school-based health clinic between April and December of 2006, and completed an anonymous survey using computer-assisted self-interview software. Overall, 7.3% reported ever having had a MPS experience. Of these, 52% reported ever being pressured to engage in MPS and 43% reported ever being threatened or forced. Condom nonuse by at least one male participant in the most recent MPS was reported by 45%. Controlling for potential demographic confounders, MPS was associated with cigarette smoking (adjusted prevalence ratio [APR], 3.83; 95% confidence interval [CI], 1.56–9.44), sexual initiation prior to age 15 (APR, 2.50; 95% CI, 1.04–5.98), ever being diagnosed with an STI (APR, 2.55; 95% CI, 1.08–6.03), dating violence victimization (APR, 4.43; 95% CI, 1.68–11.69), childhood sexual abuse victimization (APR, 4.30; 95% CI, 1.83–10.07) and past-month pornography exposure (APR, 4.79; 95% CI, 1.91–11.98). Additional study of the perpetration and prevention of adolescent MPS is urgently needed

A Miniaturized Laser Heterodyne Radiometer for a Global Ground-Based Column Carbon Monitoring Network

We present progress in the development of a passive, miniaturized Laser Heterodyne Radiometer (mini-LHR) that will measure key greenhouse gases (C02, CH4, CO) in the atmospheric column as well as their respective altitude profiles, and O2 for a measure of atmospheric pressure. Laser heterodyne radiometry is a spectroscopic method that borrows from radio receiver technology. In this technique, a weak incoming signal containing information of interest is mixed with a stronger signal (local oscillator) at a nearby frequency. In this case, the weak signal is sunlight that has undergone absorption by a trace gas of interest and the local oscillator is a distributive feedback (DFB) laser that is tuned to a wavelength near the absorption feature of the trace gas. Mixing the sunlight with the laser light, in a fast photoreceiver, results in a beat signal in the RF. The amplitude of the beat signal tracks the concentration of the trace gas in the atmospheric column. The mini-LHR operates in tandem with AERONET, a global network of more than 450 aerosol sensing instruments. This partnership simplifies the instrument design and provides an established global network into which the mini-LHR can rapidly expand. This network offers coverage in key arctic regions (not covered by OCO-2) where accelerated warming due to the release of CO2 and CH4 from thawing tundra and permafrost is a concern as well as an uninterrupted data record that will both bridge gaps in data sets and offer validation for key flight missions such as OCO-2, OCO-3, and ASCENDS. Currently, the only ground global network that routinely measures multiple greenhouse gases in the atmospheric column is TCCON (Total Column Carbon Observing Network) with 18 operational sites worldwide and two in the US. Cost and size of TCCON installations will limit the potential for expansion, We offer a low-cost $30Klunit) solution to supplement these measurements with the added benefit of an established aerosol optical depth measurement. Aerosols induce a radiative effect that is an important modulator of regional carbon cycles. Changes in the diffuse radiative flux fraction (DRF) due to aerosol loading have the potential to alter the terrestrial carbon exchange

Greenhouse Gas Concentration Data Recovery Algorithm for a Low Cost, Laser Heterodyne Radiometer

The goal of a coordinated effort between groups at GWU and NASA GSFC is the development of a low-cost, global, surface instrument network that continuously monitors three key carbon cycle gases in the atmospheric column: carbon dioxide (CO2), methane (CH4), carbon monoxide (CO), as well as oxygen (O2) for atmospheric pressure profiles. The network will implement a low-cost, miniaturized, laser heterodyne radiometer (mini-LHR) that has recently been developed at NASA Goddard Space Flight Center. This mini-LHR is designed to operate in tandem with the passive aerosol sensor currently used in AERONET (a well established network of more than 450 ground aerosol monitoring instruments worldwide), and could be rapidly deployed into this established global network. Laser heterodyne radiometry is a well-established technique for detecting weak signals that was adapted from radio receiver technology. Here, a weak light signal, that has undergone absorption by atmospheric components, is mixed with light from a distributed feedback (DFB) telecommunications laser on a single-mode optical fiber. The RF component of the signal is detected on a fast photoreceiver. Scanning the laser through an absorption feature in the infrared, results in a scanned heterodyne signal io the RF. Deconvolution of this signal through the retrieval algorithm allows for the extraction of altitude contributions to the column signal. The retrieval algorithm is based on a spectral simulation program, SpecSyn, developed at GWU for high-resolution infrared spectroscopies. Variations io pressure, temperature, composition, and refractive index through the atmosphere; that are all functions of latitude, longitude, time of day, altitude, etc.; are modeled using algorithms developed in the MODTRAN program developed in part by the US Air Force Research Laboratory. In these calculations the atmosphere is modeled as a series of spherically symmetric shells with boundaries specified at defined altitudes. Temperature, pressure, and species mixing ratios are defined at these boundaries. Between the boundaries, temperature is assumed to vary linearly with altitude while pressure (and thus gas density) vary exponentially. The observed spectrum at the LHR instrument will be the integration of the contributions along this light path. For any absorption measurement the signal at a particular spectral frequency is a linear combination of spectral line contributions from several species. For each species that might absorb in a spectral region, we have pre-calculated its contribution as a function of temperature and pressure. The integrated path absorption spectrum can then by calculated using the initial sun angle (from location, date, and time) and assumptions about pressure and temperature profiles from an atmospheric model. The modeled spectrum is iterated to match the experimental observation using standard multilinear regression techniques. In addition to the layer concentrations, the numerical technique also provides uncertainty estimates for these quantities as well as dependencies on assumptions inherent in the atmospheric models