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Ultraviolet radiation (UV) is the main cause of skin cancer, and children are a priority group for reducing UV exposure. We evaluated whether an interactive educational activity using handheld dosimeters improved UV-related knowledge among primary (elementary) school students. We conducted an uncontrolled before-after study among 427 students in grades 3-6 (ages 8-12 years) at five schools in the Greater Sydney region, Australia. Students used UV dosimeters to measure UV exposure, using the UV index scale, at different locations on their school grounds with and without different forms of sun protection, followed by an indoor classroom presentation and discussion. A 10-point anonymous questionnaire was completed by each student before and after the entire session (60-90 min). Before-after responses were compared using a generalised linear mixed model, adjusted for school, grade and gender. Overall, the mean raw scores increased from 6.3 (out of 10) before the intervention to 8.9 after the intervention, and the adjusted difference in scores was 2.6 points (95% confidence interval 2.4-2.8; p < 0.0001). Knowledge improved for all questions, with the greatest improvement for questions related to the UV Index (p < 0.05). The effect of the intervention was similar across different school, grade and gender groups. School and grade had no significant effect on mean survey scores, but girls scored an average 0.2 points higher than boys (95% confidence interval 0.1-0.4; p = 0.01). In conclusion, Australian primary school students had moderate knowledge about UV and sun protection, and knowledge improved significantly after a short interactive educational activity using handheld UV dosimeters., Competing Interests: The authors declare that they have no known competing financial interests or personal relationships that could have appeared to influence the work reported in this paper., (© 2021 The Author(s).)

Background: There is great interest in understanding the viral genomic predictors of phenotypic traits that allow influenza A viruses to adapt to or become more virulent in different hosts. Machine learning techniques have demonstrated promise in addressing this critical need for other pathogens because the underlying algorithms are especially well equipped to uncover complex patterns in large datasets and produce generalizable predictions for new data. As the body of research where these techniques are applied for influenza A virus phenotype prediction continues to grow, it is useful to consider the strengths and weaknesses of these approaches to understand what has prevented these models from seeing widespread use by surveillance laboratories and to identify gaps that are underexplored with this technology., Methods and Results: We present a systematic review of English literature published through 15 April 2021 of studies employing machine learning methods to generate predictions of influenza A virus phenotypes from genomic or proteomic input. Forty-nine studies were included in this review, spanning the topics of host discrimination, human adaptability, subtype and clade assignment, pandemic lineage assignment, characteristics of infection, and antiviral drug resistance., Conclusions: Our findings suggest that biases in model design and a dearth of wet laboratory follow-up may explain why these models often go underused. We, therefore, offer guidance to overcome these limitations, aid in improving predictive models of previously studied influenza A virus phenotypes, and extend those models to unexplored phenotypes in the ultimate pursuit of tools to enable the characterization of virus isolates across surveillance laboratories.

Studies of personal solar ultraviolet radiation (pUVR) exposure are important to identify populations at-risk of excess and insufficient exposure given the negative and positive health impacts, respectively, of time spent in the sun. Electronic UVR dosimeters measure personal solar UVR exposure at high frequency intervals generating large datasets. Sophisticated methods are needed to analyze these data. Previously, wavelet transform (WT) analysis was applied to high-frequency personal recordings collected by electronic UVR dosimeters. Those findings showed scaling behavior in the datasets that changed from uncorrelated to long-range correlated with increasing duration of time spent in the sun. We hypothesized that the WT slope would be influenced by the duration of time that a person spends in continuum outside. In this study, we address this hypothesis by using an experimental study approach. We aimed to corroborate this hypothesis and to characterize the extent and nature of influence time a person spends outside has on the shape of statistical functions that we used to analyze individual UVR exposure patterns. Detrended fluctuation analysis (DFA) was applied to personal sun exposure data. We analyzed sun exposure recordings from skiers (on snow) and hikers in Europe, golfers in New Zealand and outdoor workers in South Africa. Results confirmed validity of the DFA superposition rule for assessment of pUVR data and showed that pUVR scaling is determined by personal patterns of exposure on lower scales. We also showed that this dominance ends at the range of time scales comparable to the maximal duration of continuous exposure to solar UVR during the day; in this way the superposition rule can be used to quantify behavioral patterns, particularly accurate if it is determined on WT curves. These findings confirm a novel way in which large datasets of personal UVR data may be analyzed to inform messaging regarding safe sun exposure for human health., (Copyright © 2019 Elsevier Inc. All rights reserved.)

There is uncertainty about the amount of sun exposure required to increase low blood 25-hydroxyvitamin D (25(OH)D 3 ) levels, a possible disease risk factor. The study aimed to quantify the association between sun exposure and serum 25(OH)D 3 concentrations in a multiethnic community sample (n=502) living in Auckland (37°S) and Dunedin (46°S), New Zealand, aged 18-85 years. They wore electronic ultraviolet dosimeters between March and November (autumn, winter and spring) for 8 weeks to record their sun exposure. This was converted to standard erythemal doses (SEDs), corrected for clothing to generate equivalent full-body exposures, SED EFB . Blood samples were collected at the end of weeks 4 and 8 to measure 25(OH)D 3 . Median weekly SED EFB was 0.33 during weeks 1-4 and 0.34 during weeks 5-8. Weekly exposures <0.5 SED EFB during weeks 5-8 were associated with decreasing 25(OH)D 3 concentrations at the end of week 8. There was a non-linear association between sun exposure and 25(OH)D 3 , with most of the increase in 25(OH)D 3 being at exposures <2 SED EFB per week. This finding suggests that vitamin D status is increased by regular small sun exposures (<2 SED EFB per week), and that greater exposures result in only small additional increases in 25(OH)D 3 .

Personal sun exposure measurements provide important information to guide the development of sun awareness and disease prevention campaigns. We assess the scaling properties of personal ultraviolet radiation (pUVR) sun exposure measurements using the wavelet transform (WT) spectral analysis to process long-range, high-frequency personal recordings collected by electronic UVR dosimeters designed to measure erythemal UVR exposure. We analysed the sun exposure recordings of school children, farmers, marathon runners and outdoor workers in South Africa, and construction workers and work site supervisors in New Zealand. We found scaling behaviour in all the analysed pUVR data sets. We found that the observed scaling changes from uncorrelated to long-range correlated with increasing duration of sun exposure. Peaks in the WT spectra that we found suggest the existence of characteristic times in sun exposure behaviour that were to some extent universal across our data set. Our study also showed that WT measures enable group classification, as well as distinction between individual UVR exposures, otherwise unattainable by conventional statistical methods.

The origin of human violence and warfare is controversial, and some scholars contend that intergroup conflict was rare until the emergence of sedentary foraging and complex sociopolitical organization, whereas others assert that violence was common and of considerable antiquity among small-scale societies. Here we consider two alternative explanations for the evolution of human violence: (i) individuals resort to violence when benefits outweigh potential costs, which is likely in resource poor environments, or (ii) participation in violence increases when there is coercion from leaders in complex societies leading to group level benefits. To test these hypotheses, we evaluate the relative importance of resource scarcity vs. sociopolitical complexity by evaluating spatial variation in three macro datasets from central California: (i) an extensive bioarchaeological record dating from 1,530 to 230 cal BP recording rates of blunt and sharp force skeletal trauma on thousands of burials, (ii) quantitative scores of sociopolitical complexity recorded ethnographically, and (iii) mean net primary productivity (NPP) from a remotely sensed global dataset. Results reveal that sharp force trauma, the most common form of violence in the record, is better predicted by resource scarcity than relative sociopolitical complexity. Blunt force cranial trauma shows no correlation with NPP or political complexity and may reflect a different form of close contact violence. This study provides no support for the position that violence originated with the development of more complex hunter-gatherer adaptations in the fairly recent past. Instead, findings show that individuals are prone to violence in times and places of resource scarcity., Competing Interests: The authors declare no conflict of interest.

Background: Standardized care plans are effective at controlling cost and quality. Registries provide insights into quality and outcomes for use of implants, but most registries do not combine implant and care quality data. In 2012, several Michigan area hospitals and a major insurance provider formed a voluntary statewide total joint database/registry, the Michigan Arthroplasty Registry Collaborative Quality Initiative (MARCQI), to collect procedural, hospital, discharge, and readmission data. Noting substantial variation in transfusion practices after total joint arthroplasty (TJA) in our institutions, we used these prospectively collected data to examine whether awareness and education of the American Association of Blood Banks' (AABB) transfusion guidelines would result in decreased transfusions., Questions/purposes: (1) Can an established arthroplasty registry help implement a quality initiative (QI) designed to decrease the proportion of transfused postoperative patients undergoing TJA? (2) Do data-driven transfusion protocols decrease length of stay without increasing ischemic complications (myocardial infarctions and cerebrovascular accidents)? (3) Are decreased transfusion proportions associated with decreased readmissions, nonischemic morbidity (including deep vein thrombosis and deep prosthetic infection), and mortality in postoperative patients who had undergone TJA?, Methods: After reviewing data from the recently established MARCQI registry, the orthopaedic department noticed many discrepancies and practice variances regarding blood transfusions among their providers. In October 2013, a QI was implemented to raise awareness of the discrepancies and education about the AABB guidelines was presented at the monthly orthopaedic service line meeting. A total of 1872 TJA cases were reviewed; 50 were excluded for incomplete data and two for intraoperative transfusions for the period before education (May 2012 to June 2013, n = 1240) and after education (November 2013 to April 2014, n = 580). Data collected included gender, age, length of stay, body mass index, preoperative hemoglobin level, lowest postoperative hemoglobin level during admission, transfusion status, number of units transfused, ischemic and nonischemic morbidity, hospital readmissions within 90 days, and mortality. Pre- and post-QI transfusion proportions were calculated. Chi-square test, Student's t-test, and a multivariate analysis were performed to compare differences in transfusion proportions for patients with a postoperative hemoglobin ≥ 8 g/dL., Results: Overall, the percentage of patients transfused with a postoperative hemoglobin ≥ 8 g/dL decreased 80% (6.5% [71 of 1092] versus 1.3% [seven of 538]; odds ratio, 5.3; 95% confidence interval, 2.4-11.6; p < 0.001) after the educational intervention. Before education, 16% (195 of 1240) of all patients undergoing TJA were transfused, whereas 6.5% (71 of 1092) were outside recommended AABB guidelines (hemoglobin ≥ 8 g/dL). In the 6 months after QI initiation, overall transfusions decreased to 6% (35 of 580) with 1.3% (seven of 538) having a hemoglobin ≥ 8 g/dL. The mean length of stay for nontransfused patients was shorter (2.4 days ± 0.9 versus 3.3 days ± 1.1, p < 0.001) and ischemic complications did not differ between groups (0.32% [four of 1240] versus 0.34% [two of 580], p = 0.61). Before and after education, neither the number of readmissions (5.4% [67 of 1240] versus 4.7% [27 of 580], p = 0.50) nor morbidity (3.6% [45 of 1240] versus 2.4% [14 of 580], p = 0.17) differed between time periods. There were no deaths., Conclusions: Simple education and awareness of quality practices drive safety and compliance. The impact can be immediate and lasting. Arthroplasty registries that combine procedural and care quality data are vital and may be used for important data-driven QIs., Level of Evidence: Level III, therapeutic study.

Objective. We sought to determine the characteristics of children presenting to United States (US) Emergency Departments (ED) with severe sepsis. Study design. Cross-sectional analysis using data from the National Hospital Ambulatory Medical Care Survey (NHAMCS). Using triage vital signs and ED diagnoses (defined by the International Classification of Diseases, Ninth Revision codes), we identified children <18 years old presenting with both infection (triage fever or ICD-9 infection) and organ dysfunction (triage hypotension or ICD-9 organ dysfunction). Results. Of 28.2 million pediatric patients presenting to US EDs each year, severe sepsis was present in 95,055 (0.34%; 95% CI: 0.29-0.39%). Fever and respiratory infection were the most common indicators of an infection. Hypotension and respiratory failure were the most common indicators of organ dysfunction. Most severe sepsis occurred in children ages 31 days-1 year old (32.1%). Most visits for pediatric severe sepsis occurred during winter months (37.4%), and only 11.1% of patients arrived at the ED by ambulance. Over half of severe sepsis cases were self-pay or insured by Medicaid. A large portion (44.1%) of pediatric severe sepsis ED visits occurred in the South census region. ED length of stay was over 3 h, and 16.5% were admitted to the hospital. Conclusion. Nearly 100,000 children annually present to US EDs with severe sepsis. The findings of this study highlight the unique characteristics of children treated in the ED for severe sepsis.

Single-molecule fluorescence methods provide new tools for the study of biological systems. Single-pair fluorescence resonance energy transfer has provided detailed information about dynamics and structure of the Ca2+-signaling protein calmodulin. Single-molecule polarization modulation spectroscopy has probed the mechanism by which calmodulin activates the plasma membrane Ca2+ pump.

We present a case of difficult esophageal reconstruction after total esophagectomy for iatrogenic perforation in a diseased esophagus. The stomach was used for esophageal reconstruction as a retrosternal microvascularly augmented flap; the vascular supply to the stomach had been interrupted during previous abdominal operations. The blood supply to the stomach conduit was restored by separate arterial and venous anastomosis between the right internal thoracic vessels and the left gastric vessels.

Sensitivity and specificity of detection of mitral regurgitation was assessed by range-gated Doppler echocardiography. The degree of mitral regurgitation was also estimated by the depth and width of the regurgitant jet detected with Doppler and compared with that assessed by left ventriculography. Of 47 patients with an adequate Doppler study, 24 had no mitral regurgitation by ventriculography. All but one were also negative for mitral regurgitation by Doppler, for a specificity of 96%. Of 23 cases with mitral regurgitation documented by ventriculography, Doppler detected mitral regurgitation in 21, for a sensitivity of 92%. Two cases with mitral regurgitation undiagnosed by Doppler had mild mitral regurgitation due to papillary muscle dysfunction. All cases with rheumatic mitral regurgitation were detected. The degree of mitral regurgitation estimated with Doppler had a high correlation with that determined by ventriculography (r = 0.88, p less than 0.01).

A new nematode genus, Nothacrobeles, is proposed in the subfamily Acrobelinae. Four new species are described and one new combination made. The five species exhibit a progression from short-to-long, bifurcate, elaborately fringed labial probolae, the longest probolae resembling those of species of Acrobeles.

A soil temperature of 20 C was equally suitable for the invasion and development of M. hapla and M. javanica. However, M. javanica predominated in a mixed species infection at this temperature. Predominance increased with increasing mixed-species inoculum levels. Invasion by M. hapla was more density-dependent than M. javanica. M. hapla produced a greater incidence of terminal galls and lateral roots.