Fine-scale population structure and asymmetrical dispersal in an obligate salt-marsh passerine, the Saltmarsh Sparrow (Ammodramus Caudacutus)

Understanding the spatial scale of gene flow can yield valuable insight into the ecology of an organism and guide conservation strategies. Fine-scale genetic structure is uncommon in migratory passerines because of their high vagility and presumed high dispersal abilities. Aspects of the behavior and ecology of some migratory species, however, may promote structure on a finer scale in comparison to their mobility. We investigated population genetic structure in the Saltmarsh Sparrow (Ammodramus caudacutus), a migratory passerine that breeds along the northeastern coast of the United States, where it is restricted exclusively to a narrow strip of patchily distributed tidal marsh habitat. Using genotyping with 10 microsatellite loci, we detected weak but significant population structure among Saltmarsh Sparrows from nine marshes on the breeding grounds between Scarborough, Maine, and Oceanside, New York. Genetic variation among marshes was largely consistent with a pattern of isolation by distance, with some exceptions. One inland marsh was genetically divergent despite its proximity to other sampled marshes, which suggests that mechanisms besides geographic distance influence population genetic structure. Bayesian clustering, multivariate analyses, and assignment tests supported a population structure consisting of five groups. Estimates of migration rates indicated variation in gene flow among marshes, which suggests asymmetrical dispersal and possible source-sink population dynamics. The genetic structure that we found in Saltmarsh Sparrows may result from natal philopatry and breeding-site fidelity, combined with restricted dispersal due to obligate dependence on a patchy habitat. Our findings suggest that fine-scale population structure may be important in some migratory passerines. Received 12 July 2011, accepted 1 February 2012

Increasing Mental Health Competency in School Nurses

Background: Mental health concerns in the pediatric population have increased over recent years, even more so due to the COVID-19 pandemic. Time from onset of symptoms to treatment is over eight years, leaving less than 25% receiving care. Virginia ranks 47th for pediatric mental health care. School nurses spend a significant amount of workload on MH issues but often report being untrained to deal with these issues. Aims: Implement a quality improvement pilot program for school nurses designed to increase competency of identification, management, and referrals for students with mental health concerns. Outcomes measured domains of knowledge, attitude, and competency related to aforementioned goals. Methods: Program was administered virtually to school nurses in Northern Virginia in the Fall of 2020. Interventions consisted of Mental Health Training Intervention for Providers in Schools (MH-TIPS) modules, a process algorithm for interdisciplinary management of mental health issues, and weekly education designed to increase mental health competency. Data collection occurred via REDCap pre-, mid-, and post-surveys. Results: 26 nurses completed the project. Results demonstrated a statistically significant increase in all outcome domains. Conclusion: School nurses are on the frontlines of pediatric mental health care. Increasing competency to identify and manage care for children/adolescents with mental health concerns is a priority to improve access and care for Virginia students. This pilot program is a cost-free program that can significantly increase mental health care competency for school nurses, not only in Virginia, but across the country

Relationship of phenotypic variation and genetic admixture in the Saltmarsh–Nelson\u27s sparrow hybrid zone

Hybridization is influential in shaping species\u27 dynamics and has many evolutionary and conservation implications. Identification of hybrid individuals typically relies on morphological data, but the assumption that hybrids express intermediate traits is not always valid, because of complex patterns of introgression and selection. We characterized phenotypic and genotypic variation across a hybrid zone between 2 tidal-marsh birds, the Saltmarsh Sparrow (Ammodramus caudacutus) and Nelson\u27s Sparrow (A. nelsoni) (n = 290), and we sought to identify morphological traits that could be used to classify admixed individuals. Sparrows were sampled from a total of 34 marshes, including 23 sympatric and 11 putatively allopatric marshes. Each individual was scored at 13 plumage traits, and standard morphometric data were collected. We used genotyping analysis at 24 microsatellite loci to categorize individuals into genotypic classes of pure, F1–F2, or backcrossed. Genetic data revealed that 52% of individuals sampled along the geographic transect were of mixed ancestry, and the majority of these were backcrossed. Traits related to the definition of plumage features (streaking, crown, and face) showed less overlap between genotypic classes than traits related to the amount or color of plumage features. Although morphological data performed well in distinguishing between the 2 taxa, pure and backcrossed individuals of each parental type could not be distinguished because of substantial overlap in plumage and morphology. We conclude that the discrimination of pure and hybrid individuals is not possible in the absence of genetic data. Our results have implications for conservation of pure populations, as extensive backcrossing throughout the hybrid zone may present challenges for monitoring pure species identified by morphology alone

Qualitative Analysis of the Expanded Food and Nutrition Education Program’s 24-hour Dietary Recall

The Expanded Food and Nutrition Education Program (EFNEP) uses a group 24-hour dietary recall (Gr24HDR) to measure changes in diet quality. Participant perceptions of the tool can guide implementation practices used by EFNEP Extension staff. Focus group (FG) sessions were conducted in five states and transcripts analyzed following a framework analysis approach. According to FG participants, a range of factors, condensed into six themes with potential interactions, influence Gr24HDR including implementation processes and community settings. Findings inform overarching considerations EFNEP staff may take when collecting Gr24HDR data in the field to improve the evaluation process for participants

Nutrient-enriched formula versus standard formula for preterm infants

BACKGROUND: Preterm infants may accumulate nutrient deficits leading to extrauterine growth restriction. Feeding preterm infants with nutrient-enriched rather than standard formula might increase nutrient accretion and growth rates and might improve neurodevelopmental outcomes. OBJECTIVES: To compare the effects of feeding with nutrient-enriched formula versus standard formula on growth and development of preterm infants. SEARCH METHODS: We used the Cochrane Neonatal standard search strategy. This included electronic searches of the Cochrane Central Register of Controlled Trials (CENTRAL; 2018, Issue 11), MEDLINE, Embase, and the Cumulative Index to Nursing and Allied Health Literature (until November 2018), as well as conference proceedings, previous reviews, and clinical trials databases. SELECTION CRITERIA: Randomised and quasi-randomised controlled trials that compared feeding preterm infants with nutrient-enriched formula (protein and energy plus minerals, vitamins, or other nutrients) versus standard formula. DATA COLLECTION AND ANALYSIS: We extracted data using the Cochrane Neonatal standard methods. Two review authors separately evaluated trial quality and extracted and synthesised data using risk ratios (RRs), risk differences, and mean differences (MDs). We assessed certainty of evidence at the outcome level using Grading of Recommendations Assessment, Development and Evaluation (GRADE) methods. MAIN RESULTS: We identified seven trials in which a total of 590 preterm infants participated. Most participants were clinically stable preterm infants of birth weight less than 1850 g. Few participants were extremely preterm, extremely low birth weight, or growth restricted at birth. Trials were conducted more than 30 years ago, were formula industry funded, and were small with methodological weaknesses (including lack of masking) that might bias effect estimates. Meta-analyses of in-hospital growth parameters were limited by statistical heterogeneity. There is no evidence of an effect on time to regain birth weight (MD -1.48 days, 95% confidence interval (CI) -4.73 to 1.77) and low-certainty evidence suggests that feeding with nutrient-enriched formula increases in-hospital rates of weight gain (MD 2.43 g/kg/d, 95% CI 1.60 to 3.26) and head circumference growth (MD 1.04 mm/week, 95% CI 0.18 to 1.89). Meta-analysis did not show an effect on the average rate of length gain (MD 0.22 mm/week, 95% CI -0.70 to 1.13). Fewer data are available for growth and developmental outcomes assessed beyond infancy, and these do not show consistent effects of nutrient-enriched formula feeding. Data from two trials did not show an effect on Bayley Mental Development Index scores at 18 months post term (MD 2.87, 95% CI -1.38 to 7.12; moderate-certainty evidence). Infants who received nutrient-enriched formula had higher Bayley Psychomotor Development Index scores at 18 months post term (MD 6.56. 95% CI 2.87 to 10.26; low-certainty evidence), but no evidence suggested an effect on cerebral palsy (typical RR 0.79, 95% CI 0.30 to 2.07; 2 studies, 377 infants). Available data did not indicate any other benefits or harms and provided low-certainty evidence about the effect of nutrient-enriched formula feeding on the risk of necrotising enterocolitis in preterm infants (typical RR 0.72, 95% CI 0.41 to 1.25; 3 studies, 489 infants). AUTHORS' CONCLUSIONS: Available trial data show that feeding preterm infants nutrient-enriched (compared with standard) formulas has only modest effects on growth rates during their initial hospital admission. No evidence suggests effects on long-term growth or development. The GRADE assessment indicates that the certainty of this evidence is low, and that these findings should be interpreted and applied with caution. Further randomised trials would be needed to resolve this uncertainty

The Biogeochemistry of Hydrogen Sulfide: Phytoplankton Production in the Surface Ocean

Hydrogen sulfide can exist in oxic waters in the form of a dissolved gas, dissociated ions, dissolved metal sulfide complexes, and particulate metal sulfides. The sum of the dissolved species is termed total dissolved sulfide (TDS). In addition to the hydrolysis of carbonyl sulfide, it has been speculated that phytoplankton may produce TDS. We present results from preliminary culture studies which demonstrate that phytoplankton produce TDS and particulate acid-volatile sulfide (pAVS). The phylogenetic order of TDS + pAVS production (per unit cell volume) for the oceanic species examined is Synechococcus sp. \u3e Emiliania huxleyi ≈ Pyramimonas obovata \u3e Thalassiosira oceanica. Moreover, TDS and pAVS production increases when the concentrations of uncomplexed trace metals in culture media are also increased, suggesting metal detoxification via the formation of metal sulfide complexes

In Solidarity

This edition of Next Page is a departure from our usual question and answer format with a featured campus reader. Instead, we asked speakers who participated in the College’s recent Student Solidarity Rally (March 1, 2017) to recommend readings that might further our understanding of the topics on which they spoke

High-Resolution Spectroscopic Study of Extremely Metal-Poor Star Candidates from the SkyMapper Survey

The SkyMapper Southern Sky Survey is carrying out a search for the most metal-poor stars in the Galaxy. It identifies candidates by way of its unique filter set that allows for estimation of stellar atmospheric parameters. The set includes a narrow filter centered on the Ca II K 3933A line, enabling a robust estimate of stellar metallicity. Promising candidates are then confirmed with spectroscopy. We present the analysis of Magellan-MIKE high-resolution spectroscopy of 122 metal-poor stars found by SkyMapper in the first two years of commissioning observations. 41 stars have [Fe/H] <= -3.0. Nine have [Fe/H] <= -3.5, with three at [Fe/H] ~ -4. A 1D LTE abundance analysis of the elements Li, C, Na, Mg, Al, Si, Ca, Sc, Ti, Cr, Mn, Co, Ni, Zn, Sr, Ba and Eu shows these stars have [X/Fe] ratios typical of other halo stars. One star with low [X/Fe] [X/Fe values appears to be "Fe-enhanced," while another star has an extremely large [Sr/Ba] ratio: >2. Only one other star is known to have a comparable value. Seven stars are "CEMP-no" stars ([C/Fe] > 0.7, [Ba/Fe] < 0). 21 stars exhibit mild r-process element enhancements (0.3 <=[Eu/Fe] < 1.0), while four stars have [Eu/Fe] >= 1.0. These results demonstrate the ability to identify extremely metal-poor stars from SkyMapper photometry, pointing to increased sample sizes and a better characterization of the metal-poor tail of the halo metallicity distribution function in the future.Comment: Minor corrections to text, missing data added to Tables 3 and 4; updated to match published version. Complete tables included in sourc

Correlation of formative assessments as the means of predicting summative performance in paramedic students

Background: Paramedic programs use formative assessments to determine cognitive competency. Understanding the number of failed formative units as a probability of passing the summative exam will allow programs to set additional benchmarks. The purpose of this study was to determine whether failure in formative exams determines success on a summative exam. Methods: Formative and summative scores from 2011 – 2016 for paramedic students with accounts in Fisdap™, an Internet-based administrative database, were retrospectively reviewed for the following criteria: provided consent for research, completed all six formative (unit) examinations, and completed a summative (comprehensive) examination. Analyses were performed with Pearson correlations and linear regression. Results: A total of 1,406 student records were included based on inclusion criteria. Correlation with each formative and the summative examination were all significant, p \u3c 0.001: Cardiology 0.597; Airway 0.571; Medical 0.571; Trauma 0.566; Ob/Pediatrics 0.549; Operations 0.495. The cardiology exam was shown to have a moderate correlation on summative performance, whereas the operations exam had the weakest correlation. The number of formative examination failures was a significant predictor of the probability of passing the summative examination, t(1405) = –31.02, p \u3c 0.001. Zero failed unit examinations yielded a 100% probability of passing. Three failed formative exams yielded a 60.4% probability. Four failed attempts yielded a 44.8% probability. Failure of all six formative exams yielded a 13.4% probability of passing the Paramedic Readiness Exam Version 3. Conclusion: Not all formative examinations hold the same predictive power on the probability of passing a summative examination. Each had their own correlation value. Students who did not fail formative examinations have a 100% likelihood of passing the summative examination