Multiple days of heat exposure on firefighters\u27 work performance and physiology

This study assessed the accumulated effect of ambient heat on the performance of, and physiological and perceptual responses to, intermittent, simulated wildfire fighting tasks over three consecutive days. Firefighters (n = 36) were matched and allocated to either the CON (19°C) or HOT (33°C) condition. They performed three days of intermittent, self-paced simulated firefighting work, interspersed with physiological testing. Task repetitions were counted (and converted to distance or area) to determine work performance. Participants were asked to rate their perceived exertion and thermal sensation after each task. Heart rate, core temperature (Tc), and skin temperature (Tsk) were recorded continuously throughout the simulation. Fluids were consumed ad libitum. Urine volume was measured throughout, and urine specific gravity (USG) analysed, to estimate hydration. All food and fluid consumption was recorded. There was no difference in work output between experimental conditions. However, significant variation in performance responses between individuals was observed. All measures of thermal stress were elevated in the HOT, with core and skin temperature reaching, on average, 0.24 ± 0.08°C and 2.81 ± 0.20°C higher than the CON group. Participants\u27 doubled their fluid intake in the HOT condition, and this was reflected in the USG scores, where the HOT participants reported significantly lower values. Heart rate was comparable between conditions at nearly all time points, however the peak heart rate reached each circuit was 7 ± 3% higher in the CON trial. Likewise, RPE was slightly elevated in the CON trial for the majority of tasks. Participants\u27 work output was comparable between the CON and HOT conditions, however the performance change over time varied significantly between individuals. It is likely that the increased fluid replacement in the heat, in concert with frequent rest breaks and task rotation, assisted with the regulation of physiological responses (e.g., heart rate, core temperature)

PENGARUH THERAPY SUPPORTIF KONSEP DIRI TERHADAP KONSEP DIRI ANAK SEKOLAH DASAR

The problem of delinquency in school-age children that often occurs is truancy, violating school rules, smoking, mixing, and bullying. This is because when the child's self-concept development experiences confusion in identity, to depersonalization. To prevent that, we need a preventive action, one of them is by doing supportive therapy. The purpose of this study was to determine the effect of Supportive Therapy on Self-Concept and child development, with a quasi-experimental method of pre-post test with control group and using a self-concept questionnaire. Samples amounted to 80, 40 intervention groups and 40 controls, using random sampling techniques. The results of the study, found that there is a significant relationship in supportive therapy to development and supportive therapy in selfconcept, with the average value of the development variables before being given supportive therapy in the intervention group 72.78 or 77.45% and the mean value after supportive therapy 83 or 88.32% of the value there was an increase in development of 10.22 (10.87%) which means that Therappy Supportive has a significant influence on children's development, while for the value of self-concept variables before supportive therapy in the intervention group 68.28 or 72, 63%, after supportive therapy, the mean value is 83.87 or 89.22%. From this value, it can be analyzed that there is an increase of 15.59 or 22.84%, which means that therapeutic support has a significant influence on the child's self-concep

Justice in the Air: Tracking Toxic Pollution from America's Industries and Companies to Add to Our States, Cities, and Neighborhoods

This new environmental justice study examines not only who receives the disproportionate share of toxic air releases -- low-income communities and people of color -- but who is releasing them.Justice in the Air: Tracking Toxic Pollution from America's Industries and Companies to Our States, Cities, and Neighborhoods uses the EPA's Toxic Release Inventory and Risk Screening Environmental Indicators to explore the demographics of those who are most affected by toxic pollution, and then establishes the corporate ownership of the plants responsible. Justice in the Air enhances the data available in PERI's Toxic 100 Report with a new environmental justice scorecard, ranking the Toxic 100 companies by the share of their health impacts from toxic air pollution that falls upon minority and low-income communities. The authors conclude by recommending four ways the right-to-know and environmental justice movements can use these findings in their efforts to protect the health of vulnerable communities

Risk-based approach to food safety research: Application to pork value chains in Vietnam

Introduction: Food-borne disease is a major public health issue in Vietnam. The contamination of popular foods can occur all along the food value chains. It is important to understand how and where food safety issues arise in order to mitigate and prevent food-borne diseases. Risk-based approach is a tool for managing food safety, however in Vietnam it is rarely applied and the capacity for application is still lacking. This paper describes how food safety risk assessment research has been applied for the pork value chain in Vietnam. Methods: We have conducted a risk assessment research to assess health risks related to pork consumption in the context of pig smallholder value chains and pork traded in informal markets. We collected 216 samples from 72 pig farms (floor swab, drinking and waste water), 545 samples from 49 slaughterhouses (carcass swab, lymph node, rectal feces, floor swab and washing water) and 514 samples from 220 pork retailed shops at informal markets (pork cuts, ground pork and cutting board swab) in Hung Yen and Nghe An provinces in the north and central of Vietnam. These 1275 samples were analyzed to detect qualitatively and quantitatively for Salmonella and E. coli. Chemical hazards (antibiotic, growth promoters, and heavy metal residues) in 190 pork samples from informal markets were also analyzed. Pork consumption behavior and cross-contamination modalities during pork preparation were assessed. Findings and interpretations: Overall prevalence of Salmonella combined from all types of above mentioned samples at pig farms, slaughterhouses and pork shops were 35%, 30% and 37%, respectively. Salmonella contamination in the final product (pork at market) was 45% and an average concentration of 9 MPN/g was recorded. E. coli average loads along different points of the chain were 5.3±1.4 (farm floor swabs), 2.9±0.9 (carcass swabs), 3.1±1.0 (slaughterhouse floor swabs), and 3.3±1.1 (market shop cutting board swabs) logCFU/cm2 , whereas pork from market had 3.4±0.9 logCFU/g. Demonstrated high levels of Salmonella in the final product (pork at market) induces the potential health risks for the consumers. High values for E. coli indicates general poor hygiene along the chain. 50% and 16.7% pooled samples were positive with sulfamethazine and chloramphenicol, with average residue levels of 156 µg/kg and 0.54 µg/kg, respectively. A quantitative risk model is being developed and integrates information on contamination along the pork value chain to characterize the health risk caused by Salmonella. Appropriate hygiene practices and management are required to achieve better pork quality and reduce the risk for the consumers

Spatially-Resolved Recent Star Formation History in NGC 6946

The nearby face-on star forming spiral galaxy NGC 6946 is known as the Fireworks Galaxy due to its hosting an unusually large number of supernova. We analyze its resolved near-ultraviolet (NUV) stellar photometry measured from images taken with the Hubble Space Telescope's (HST) Wide Field Camera 3 (WFC3) with F275W and F336W filters. We model the color-magnitude diagrams (CMD) of the UV photometry to derive the spatially-resolved star formation history (SFH) of NGC 6946 over the last 25 Myr. From this analysis, we produce maps of the spatial distribution of young stellar populations and measure the total recent star formation rate (SFR) of nearly the entire young stellar disk. We find the global SFR(age$\leq$25 Myr)=$13.17 \substack{+0.91 \\-0.79} M_\odot/\rm yr$. Over this period, the SFR is initially very high ($23.39\substack{+2.43\\-2.11} M_\odot/\rm yr$ between 16-25 Myr ago), then monotonically decreases to a recent SFR of $5.31\substack{+0.19\\-0.17} M_\odot/\rm yr$ in the last 10 Myr. This decrease in global star formation rate over the last 25 Myr is consistent with measurements made with other SFR indicators. We discuss in detail two of the most active regions of the galaxy, which we find are responsible for 3% and 5% of the total star formation over the past 6.3 Myr.Comment: 19 pages, 11 figures, accepted for publication in Ap

Spatiotemporal analysis of historical records (2001-2012) on dengue fever in Vietnam and development of a statistical model for forecasting risk

Background: Dengue fever is the most widespread infectious disease of humans transmitted by Aedes mosquitoes. It is the leading cause of hospitalization and death in children in the Southeast Asia and western Pacific regions. We analyzed surveillance records from health centers in Vietnam collected between 2001–2012 to determine seasonal trends, develop risk maps and an incidence forecasting model. Methods: The data were analyzed using a hierarchical spatial Bayesian model that approximates its posterior parameter distributions using the integrated Laplace approximation algorithm (INLA). Meteorological, altitude and land cover (LC) data were used as predictors. The data were grouped by province (n = 63) and month (n = 144) and divided into training (2001–2009) and validation (2010–2012) sets. Thirteen meteorological variables, 7 land cover data and altitude were considered as predictors. Only significant predictors were kept in the final multivariable model. Eleven dummy variables representing month were also fitted to account for seasonal effects. Spatial and temporal effects were accounted for using Besag-York-Mollie (BYM) and autoregressive (1) models. Their levels of significance were analyzed using deviance information criterion (DIC). The model was validated based on the Theil’s coefficient which compared predicted and observed incidence estimated using the validation data. Dengue incidence predictions for 2010–2012 were also used to generate risk maps. Results: The mean monthly dengue incidence during the period was 6.94 cases (SD 14.49) per 100,000 people. Analyses on the temporal trends of the disease showed regular seasonal epidemics that were interrupted every 3 years (specifically in July 2004, July 2007 and September 2010) by major fluctuations in incidence. Monthly mean minimum temperature, rainfall, area under urban settlement/build-up areas and altitude were significant in the final model. Minimum temperature and rainfall had non-linear effects and lagging them by two months provided a better fitting model compared to using unlagged variables. Forecasts for the validation period closely mirrored the observed data and accurately captured the troughs and peaks of dengue incidence trajectories. A favorable Theil’s coefficient of inequality of 0.22 was generated. Conclusions: The study identified temperature, rainfall, altitude and area under urban settlement as being significant predictors of dengue incidence. The statistical model fitted the data well based on Theil’s coefficient of inequality, and risk maps generated from its predictions identified most of the high-risk provinces throughout the country