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Pratti Gabriela Montine Resende Detoni Igor dos Reis de Souza Resende Georgio Patrcio Mansur Marcelo Borges Lemos Leandro Rocha da Silva Guilherme Liziero Ruggio 《Journal of Material Cycles and Waste Management》2022,24(2):702-711
Journal of Material Cycles and Waste Management - Fluff is a shredder waste made up mostly of polymeric material generated in semi-integrated steel manufacturing plants, which is usually disposed... 相似文献
884.
de Souza Silva Gabriela Muricy de Carvalho Batista Muniz Izabella Veloso Cristiane Martins Santos Leandro Soares de Melo Neto Biano Alves Bonomo Renata Cristina Ferreira 《Journal of Polymers and the Environment》2022,30(1):246-257
Journal of Polymers and the Environment - Starch is the main predominant food reserve in plants. Its characteristics stand out from other carbohydrates providing it with several industrial... 相似文献
885.
Martins da Costa PM Vaz-Pires PM Bernardo FM 《Journal of environmental science and health. Part. B》2006,41(8):1393-1403
Antibiotimicrobial resistance was investigated in 537 Enterococcus spp. isolates recovered from 22 samples of crude inflow, treated effluent and sludge collected in wastewater treatment plants of eight poultry slaughterhouses of Portugal. No significant differences (P > 0.05) were found in the resistance to each antimicrobial agent with regards to the origin of the sample (inflow, sludge and effluent). Many of the isolates displayed resistance to tetracycline (85.7%), erythromycin (45.7%), nitrofurantoin (34.0%) and rifampicin (17.8%). Resistance was also observed, but to a lesser extent, to ciprofloxacin (10.2%), ampicillin (8.0%), chloramphenicol (4.6%), vancomycin (0.9%) and gentamicin (0.4%). Resistance to three or more antimicrobial classes was present in 37.1% of the isolates. Wastewater treatment resulted in viable enterococci decrease between less than 1 log and 4 log; nevertheless, more than 4.4 x 10(5) colony forming units (CFU)/100 mL were present in the outflow of the plants and thus resistant enterococci are not prevented from reaching the general environment. 相似文献
886.
Vinícius Marcilio‐Silva Márcia C. M. Marques Jeannine Cavender‐Bares 《Conservation biology》2018,32(5):1074-1084
Trade‐offs in ecosystem services (ES) have received increasing attention because provisioning services often come at the expense of biodiversity loss. When land‐use patterns are not maximally efficient relative to productivity, provisioning services, such as crop production, can often be increased without losing biodiversity. The Atlantic Forest (AF) encompasses dense, mixed, and seasonal forests and has high levels of endemism and anthropogenic threat. We examined trade‐offs between biodiversity and crop production in the AF to provide insights into land‐use management decisions. We developed a biodiversity metric that combines information on tree species richness, evolutionary distinctiveness, and rarity at the local level. We examined the extent to which the nature of ES trade‐offs differ among the 3 forest types. We assessed how annual deforestation rates and land management practices affect biodiversity and agricultural revenues. Finally, we tested whether it is possible to achieve the same total regional revenue without reducing biodiversity by improving local management practices. The 3 forest types had similar patterns in ES trade‐offs, although within mixed forest patterns differed. Biodiversity appeared to be more sensitive to land‐use change than crop revenues. Certain crops yielded up to 10 times higher values in some sites. Enhanced crop productivity may increase revenues without reducing biodiversity. Our results showed that to enhance human well‐being without further conversion of AF, maximizing crop productivity is needed . Increasing efficiency of management outcomes by maintaining higher biodiversity and increasing provisioning services depends on knowledge of forest type, the comparative advantage of planting crops in the best places, and preserving species in a balanced manner across forests. 相似文献
887.
Alessandro José Queiroz Sarnaglia Nátaly Adriana Jiménez Monroy Arthur Gomes da Vitória 《Environmental and Ecological Statistics》2018,25(4):443-469
This paper considers the modeling and forecasting of daily maximum hourly ozone concentrations in Laranjeiras, Serra, Brazil, through dynamic regression models. In order to take into account the natural skewness and heavy-tailness of the data, a linear regression model with autoregressive errors and innovations following a member of the family of scale mixture of skew-normal distributions was considered. Pollutants and meteorological variables were considered as predictors, along with some deterministic factors, namely week-days and seasons. The Oceanic Niño Index was also considered as a predictor. The estimated model was able to explain satisfactorily well the correlation structure of the ozone time series. An out-of-sample forecast study was also performed. The skew-normal and skew-t models displayed quite competitive point forecasts compared to the similar model with gaussian innovations. On the other hand, in terms of forecast intervals, the skewed models presented much better performance with more accurate prediction intervals. These findings were empirically corroborated by a forecast Monte Carlo experiment. 相似文献
888.
Flávio?Mnaoel?Rodrigues?Da?Silva-JuniorEmail author Ritta?M.?Oleinski Antonia?E.?S.?Azevedo Kátia?C.?M.?C.?Monroe Marina?Dos?Santos Tatiane?Britto?Da?Silveira Adrianne?Maria?Netto?De?Oliveira Maria?Cristina?Flores?Soares Tatiana?Da Silva?Pereira 《Environmental geochemistry and health》2018,40(3):1145-1154
The Brazilian Amazon is known to be a region with high levels of mercury (Hg) in the environment and studies point to an association between high levels of natural mercury in the mother rock and the vast number of clandestine gold mines. Other studies already report the contamination of fish in this region, as well as high levels of Hg in biological material from environmentally exposed populations. On the other hand, this is one of the least developed regions of the planet and it is necessary to understand the vulnerability factors in these populations that may be intoxicated by this element. The purpose of the present study was to investigate the vulnerability factors in communities from Xingu River—Amazon basin probably exposed to Hg. A cross-selection study in two cities localized in Xingu River was conducted, and the sample contained was 268 individuals. sociodemographic questions, lifestyle, diet habits and health conditions were collated. The majority of the sample was female, between 30 and 59 years old, had less than 3 years of educational level and lived in the local of study more than 240 months. There was regular fish consumption (95.9%), principally carnivorous species (80.5%). The visual problem has a highest prevalence (43.3%) between the health problems and about the symptoms of Hg intoxication, memory loss (42.9%), weakness (35.1%), fatigue (34.3%), mood changes (28.7%) and difficulties in concentration (27.2%) was most reported. The female sex, age over 60, educational level below 3 years of study, did not had flush toilet, smoke and least one chronic non-communicable disease represent higher probability to had symptoms of Hg intoxication. Lack of access to health services, low education level and income evidence the susceptibility of this community to diseases and injuries. The vulnerable groups identified in this study should be a priority in public health and environmental health policies. 相似文献
889.
Karenina Karina Giljov Andrey de Silva Shermin Malashichev Yegor 《Behavioral ecology and sociobiology》2018,72(2):1-12
Behavioral Ecology and Sociobiology - Due to the reduced conspicuousness of female signals, their evolution has traditionally been interpreted as a by-product of sexual or natural selection in... 相似文献
890.
We analyze data from a complex repeated measures experiment directed at the evaluation of the response to an electric stimulus
applied to mussel nerves under 5 different salinity levels. We discuss the form of the relation between the response and the
different salinity levels, as well as the choice of an adequate within subjects covariance structure that includes random
effects and autoregressive models. 相似文献