Mejerward4130

This study explores the symmetric and asymmetric effects of physical infrastructure on energy consumption, economic growth, and air pollution of Pakistan over the period 1990-2019. The ARDL results for the energy consumption model suggest that aircraft carriers (ACC) and road infrastructure foster energy consumption in the short term. For the growth model, the impact of trade is negative and significant in both short run and long run. The results for environmental pollution model suggest that information communication technology (ICT) is positively associated with CO2 emissions, whereas trade is negatively associated with emissions in the short and long run. The road has a positive impact on CO2 emissions while ACC has a negative impact in the long run. The nonlinear ARDL results reveal that negative component of ICT negatively influences energy consumption, while positive component has insignificant impact. Similarly, ACC, road, and trade also exhibit asymmetric effects. ICT has a significantly negative impact on economic growth. Finally, the positive shock to road has a significantly positive impact on pollution but the negative shock has no impact. Additionally, the coefficient of ACC and trade also infer asymmetries in pollution model. Selleck Benserazide The results offer important policy implications for achieving high growth and better environmental quality in Pakistan.Toxoplasmosis is a zoonotic disease caused by an obligatory intracellular parasite, Toxoplasma gondii. The congenital form of the disease is a significant health problem around the world. This study aimed to determine the incidence of congenital toxoplasmosis in the newborn of Shiraz, Southern Iran, between 2013 and 2018. A total of 2498 blood samples of neonates were randomly collected by a standard heel puncture technique and dried on Guthrie cards from Shiraz newborn screening center. We provided questionnaire forms for mothers according to their demographic characteristics, such as age, place of residence, history of having cats as pet, and literacy level. ELISA immunocapture and PCR assays were applied to detect anti-Toxoplasma IgM and the parasite DNA in dried blood spot samples. The anti-Toxoplasma IgM antibody was detected in two out of the 2498 infants. Moreover, borderline titers were observed in 3 samples, which were considered suspicious, so these were retested after 18 months to detect IgG against Toxoplasma. Positive IgG titer was observed in two infants who had a positive IgM level. The genome of Toxoplasma was detected in one sample out of 2498. No significant differences were seen between the epidemiological factors with congenital infection. The incidence of congenital toxoplasmosis is estimated at 0.08% of studied samples. It seems that this incidence could present to the health ministry as a logical research achievement for the national screening program of newborns in Iran.Carrying out domestic research and development (R&D) activities can improve environmental performance. However, extant studies have not conclusively indicated that R&D activities in all energy fields lead to a reduction in the SO2 intensity. SO2 intensity is defined as the ratio of SO2 emissions to the GDP. Hence, green R&D activities are required. However, the strong heterogeneity between green R&D activities could have distinctive economic consequences. Thus, it is imperative to study the heterogeneity of green R&D activities on SO2 intensity. Moreover, previous studies have ignored regional differences. Although overlooked in the literature, a technology's adsorptive ability could be a key determinant of the effects of green R&D activities on SO2 intensity. Based on a linear analysis of China's provincial data over 2000-2016, we show that green R&D activities are instrumental in reducing SO2 intensity. Different green R&D activities have distinct goals and contrasting statistical effects on SO2 intensity. The empirical results show that the impact of green R&D activities on SO2 intensity differs by region. Lastly, it is proposed that green R&D activity effects on SO2 intensity are nonlinear by analysing a technology's adsorptive ability.The Tibetan Plateau (TP) is a region with high altitudes and complicated terrain conditions. Due to the special conditions of this region, it is also regarded as the third pole of the Earth. The land cover and vegetation in this region have not been extensively studied, so this study investigated the possibility of using a combined classifier that was established based on D-S evidence theory to extract the land cover of the TP. Multiple feature images were obtained based on a single classification rule, and the feature images were normalized to obtain the basic probability assignment (BPA). The BPA was used as the evidence source to represent the belief level of each type of land cover. The information for the different belief levels was combined based on the D-S evidence theory. The maximum belief level of the combination results was used to identify the land cover types on the TP. The results of this study indicate that based on the D-S evidence theory, multiple classifiers can effectively be combined to improve the classification results. This study has also revealed that more classifiers fused together to make a combined classifier did not result in the combined classifier's accuracy being higher than those of the original classifiers. Higher accuracies were only obtained when more high accuracy evidence theory was used in the classifier combination, in which case, the combined classifier's classification accuracy was also high.Plastic pollution and the numerous consequences it has on aquatic life have become a huge concern in recent years. While many studies have been conducted in marine environments, studies in freshwater ecosystems are scarce and insufficient. The Paraná River is the most important water course in the La Plata River basin and the fifth in the world with a mean annual discharge of 18,000 m3 per second. Currently available studies show the presence of plastic in river shores and fish gut, but more research should be carried out in order to know the extension and origin of plastic contamination. Therefore, the aim of this study was to quantify and characterize macro-, meso-, and microplastics found in the riverine beaches next to Rosario city, the most populated city standing by the lower Paraná River coast in Argentina. The results show that plastic pollution is ubiquitous, but the city shores are significantly more polluted than the wetland shore with a mean of 30,780 and 6375 microplastics per square meter respectively (p = 0.