Age, Growth and Natural Mortality of Blackfin Snapper Lutjanus buccanella from the Southeastern United States and U. S. Caribbean

We determined ages of Blackfin Snapper (Lutjanus buccanella Cuvier 1828; n = 622) collected from the southeastern United States coast and U.S. Caribbean from 1979–2015 using sectioned sagittal otoliths. Opaque zones were determined to be annular, forming March – July (peaking in April–June). Blackfin Snapper ranged from 1–27 years and from 180–609 mm total length (TL). Body size relationships for Blackfin Snapper were: TL = 1.09 FL + 0.81 (n = 203, r2 = 0.99); FL = 0.91 TL + 3.38 (n = 203, r2 = 0.99); TL = 1.23 SL + 14.27 (n = 83, r2 = 0.97); FL = 1.14 SL + 10.84 (n = 83, r2 = 0.99); W = 7.79 x 10—9 TL3.09 (n = 216); and W = 9.54 x 10—9 FL3.11 (n = 228). The von Bertalanffy growth equation was: Lt = 549 (1 — e—0.20 (t +1.51)) (n = 622). Point estimate of natural mortality was M = 0.16, while age—specific estimates of M ranged from 0.65–0.21/y for ages 1–27. This study presents the first findings of life history parameters for Blackfin Snapper from the Atlantic waters off the southeastern United States and U.S. Caribbean

Blood Omega-3 Concentrations are Associated With Reading, Working Memory and Behaviour in Healthy Children Aged 7-9 Years

Epidemiological results from the DHA-Oxford-Learning-and-Behaviour study (DOLAB). Presented at the International Society for the Study of Fatty Acids and Lipids (ISSFAL) conference 2012 in Vancouver

Omega-3 DHA and Sleep in UK Children: Results From the DOLAB Study

Results from the DHA-Oxford-Learning-and-Behaviour study (DOLAB) on the benefits of DHA supplementation for childrens' sleep. See also the article: Fatty acids and sleep in UK children: subjective and pilot objective sleep results from the DOLAB study – a randomized controlled trial. (http://onlinelibrary.wiley.com/enhanced/doi/10.1111/jsr.12135/

Docosahexaenoic acid for reading, working memory and behavior in UK children aged 7-9: A randomized controlled trial for replication (the DOLAB II study)

Background: Omega-3 fatty acids are central to brain-development of children. Evidence from clinical trials and systematic reviews demonstrates the potential of long-chain Omega-3 supplementation for learning and behavior. However, findings are inconclusive and in need of robust replication studies since such work is lacking. Objectives: Replication of the 2012 DOLAB 1 study findings that a dietary supplementation with the long-chain omega-3 docosahexaenoic acid (DHA) had beneficial effects on the reading, working memory, and behavior of healthy schoolchildren. Design: Parallel group, fixed-dose, randomized (minimization, 30% random element), double-blind, placebo-controlled trial (RCT). Setting: Mainstream primary schools (n = 84) from five counties in the UK in 2012–2015. Participants: Healthy children aged 7–9 underperforming in reading (<20th centile). 1230 invited, 376 met study criteria. Intervention: 600 mg/day DHA (from algal oil), placebo: taste/color matched corn/soybean oil; for 16 weeks. Main outcome measures: Age-standardized measures of reading, working memory, and behavior, parent-rated and as secondary outcome teacher-rated. Results: 376 children were randomized. Reading, working memory, and behavior change scores showed no consistent differences between intervention and placebo group. Some behavioral subscales showed minor group differences. Conclusions: This RCT did not replicate results of the earlier DOLAB 1 study on the effectiveness of nutritional supplementation with DHA for learning and behavior. Possible reasons are discussed, particularly regarding the replication of complex interventions. Trial registration and protocol: www.controlled-trials.com (ISRCTN48803273) and protocols.io (https://dx.doi.org/10.17504/protocols.io.k8kczuw)

Alteration of immune function in women collegiate soccer players and college students

The purpose of this study was to monitor the stress-induced alteration in concentrations of salivary immunoglobulin (S-IgA) and cortisol and the incidence of upper respiratory tract infections (URTI) over the course of a 9-week competitive season in college student-athletes and college students. The subjects consisted of 14 NCAA Division III collegiate female soccer athletes (19.8 ± 1.0 years, mean ± SD) and 14 female college students (22.5 ± 2.6 years). Salivary samples were collected for 9 weeks during a competitive soccer season. S-IgA and cortisol concentrations were determined by enzyme linked immunosorbent assay (ELISA). A training and performance questionnaire was given to the subjects every week, to record the subjects’ session rating of perceived exertion (RPE) for all the training, load, monotony and strain, as well as any injuries or illnesses experienced. The between groups ANOVA procedure for repeated measures showed no changes in salivary concentrations of IgA and cortisol. Chisquare analysis showed that during the 9-week training season injury and illness occurred at a higher rate among the soccer players. There was a significant difference at baseline between soccer and control SIgA levels (p ≤ 0.05). Decreased levels of SIgA and increases in the indices of training (load, strain and monotony) were associated with an increase in the incidence of illness during the 9-week competitive soccer season

Nitrogen turnover in the leaf litter and fine roots of sugar maple

Peer Reviewedhttp://deepblue.lib.umich.edu/bitstream/2027.42/117199/1/ecy201091123456.pd

DataSHIELD:An Ethically Robust Solution to Multiple-Site Individual-Level Data Analysis

&lt;b&gt;&lt;i&gt;Background:&lt;/i&gt;&lt;/b&gt; DataSHIELD (Data Aggregation Through Anonymous Summary-statistics from Harmonised Individual levEL Databases) has been proposed to facilitate the co-analysis of individual-level data from multiple studies without physically sharing the data. In a previous paper, we investigated whether DataSHIELD could protect participant confidentiality in accordance with UK law. In this follow-up paper, we investigate whether DataSHIELD addresses a broader range of ethics-related data-sharing concerns. &lt;b&gt;&lt;i&gt;Methods:&lt;/i&gt;&lt;/b&gt; Ethics-related data-sharing concerns of Institutional Review Boards, ethics experts, international research consortia and research participants were identified through a literature search and systematically examined at a multidisciplinary workshop to determine whether DataSHIELD proposes mechanisms which can address these concerns. &lt;b&gt;&lt;i&gt;Results:&lt;/i&gt;&lt;/b&gt; DataSHIELD addresses several ethics-related data-sharing concerns related to privacy, confidentiality, and the protection of the research participant's rights while sharing data and after the data have been shared. The data remain entirely under the direct management of the study that collected them. Data processing commands are strictly supervised, and the data are queried in a protected environment. Issues related to the return of individual research results when data are shared are eliminated; the responsibility for return remains at the study of origin. &lt;b&gt;&lt;i&gt;Conclusion:&lt;/i&gt;&lt;/b&gt; DataSHIELD can provide an innovative and robust solution for addressing commonly encountered ethics-related data-sharing concerns.</jats:p

Interventions to promote access to eye care for non-Indigenous, non-dominant ethnic groups in high-income countries: a scoping review protocol.

INTRODUCTION: For many people, settling in a new country is associated with a new identity as an 'ethnic minority', one that can remain through future generations. People who are culturally distinct from the dominant population group may experience a variety of barriers to accessing healthcare, including linguistic and cultural barriers in communication, navigation of an unfamiliar health system and unconscious or overt discrimination. Here, we outline the protocol of a scoping review to identify, describe and summarise interventions aimed at improving access to eye care for non-Indigenous, non-dominant ethnic groups residing in high-income countries. METHODS AND ANALYSIS: We will search MEDLINE, Embase and Global Health from their inception to July 2019. We will include studies of any design that describe an intervention to promote access to eye care for non-Indigenous, non-dominant ethnic groups. Two authors will independently review titles, abstracts and full-text articles for inclusion. Reference lists from all included articles will also be searched. In cases of disagreement between initial reviewers, a third author will help resolve the conflict. For each included article, we will extract data about the target population, details of the intervention delivered and the effectiveness of or feedback from the intervention. Overall findings will be summarised with descriptive statistics and thematic analysis. ETHICS AND DISSEMINATION: This review will summarise existing literature and as such ethics approval is not required. We will publish the review in an open-access, peer-reviewed journal, and draft appropriate summaries for dissemination to the wider community. This wider community could include clinicians, policymakers, health service managers and organisations that work with non-dominant ethnic groups. Our findings will also feed into the ongoing Lancet Global Health Commission on Global Eye Health

Artificial intelligence for diabetic retinopathy in low-income and middle-income countries: a scoping review.

Diabetic retinopathy (DR) is a leading cause of blindness globally. There is growing evidence to support the use of artificial intelligence (AI) in diabetic eye care, particularly for screening populations at risk of sight loss from DR in low-income and middle-income countries (LMICs) where resources are most stretched. However, implementation into clinical practice remains limited. We conducted a scoping review to identify what AI tools have been used for DR in LMICs and to report their performance and relevant characteristics. 81 articles were included. The reported sensitivities and specificities were generally high providing evidence to support use in clinical practice. However, the majority of studies focused on sensitivity and specificity only and there was limited information on cost, regulatory approvals and whether the use of AI improved health outcomes. Further research that goes beyond reporting sensitivities and specificities is needed prior to wider implementation