Notes

Gene Treatments regarding Polyglutamine Spinocerebellar Ataxias: Advances, Issues, and Views.
The classification of wastes regarding hazardous property HP 14 (ecotoxicity) is essential for proper waste management. In the EU, HP 14 has been estimated based on waste chemical composition rather than using biotests, and guidelines for experimental assessment are still lacking. This study aims at evaluating the potential ecotoxicological impacts of weathered coal fly ash (CFA) from a landfill, as a case study to assess the current EU methodology used to classify wastes regarding HP 14. A large amount of CFA is still landfilled, but its valorisation would be of interest. The analysis was based on the chemical composition of CFA (in ClassifyMyWaste software), and on a battery of five biotests applied to eluates, with Lepidium sativum, Aliivibrio fischeri, Raphidocelis subcapitata, Lemna minor and Daphnia magna. Through chemical analysis, most of the simulations with data from the literature indicated "Possible Hazard", including the sample of this work. Biotests revealed low impairment for most endpoints. D. magna was the most sensitive organism, but the inhibitory effect was significantly reduced after pH adjustment of the eluate. The test with A. fischeri does not seem to be adequate to assess CFA due to the high variability observed in results. The methodology involving a simple battery of bioassays was proven to be enlightening, providing relevant results for HP 14 assessment. The chosen battery of biotests (excluding the A. fischeri test) may be a good starting point to represent the aquatic environment in this context. In short, it seems that weathered CFA can be considered non-hazardous, and therefore the material under analysis could be valorised in practical applications without significant ecotoxic effect on the environment.Vegetable oils are characterized by their bioactive phytochemicals including fatty acids, tocols, and phenolic compounds. In the current study, turnip (Brassica rapa) oil was evaluated for its fatty acid profiles, tocol composition, and total phenolic content. The radical scavenging properties of oil against DPPH· and galvinoxyl radicals were also evaluated. Turnip oil efficiency in treating osteoporosis was tested in rats. Fifty adult female Sprague-Dawley albino rats were divided to five groups (n = 10/group). An osteoporotic rat model was prepared by two separate 5-day (5 days on/9 days off) courses of methotrexate subcutaneous injection. Osteoporotic rats were orally gavaged with turnip oil (200 and 400 mg/kg/day) for 28 days. Turnip oil efficiency in treating osteoporosis was studied by evaluation of Osterix, Cath K, and TNF-α transcript expression levels that involved in bone remodeling in femoral bones. Minerals and vitamin D were estimated in blood serum. Femoral bone histological and morphometric analyses were investigated in osteoporotic and turnip oil-treated rats. In vitro assays revealed strong antiradical potential of turnip oil. Treatment with turnip oil regulated the levels of Osterix, Cath K, and TNF-α mRNA that was accompanied with elevating the levels of calcium, phosphorous, bone alkaline phosphatase (BALP), and vitamin D in osteoporotic rats. The histological and morphometric inspection revealed that turnip oil displayed progress in the osteoporotic rat bone formation that was clear in the enhancement of thickness of femur shaft cortical bone and femur head trabecular bone. Above-mentioned findings indicated that turnip oil has the potential to share in the treatment of osteoporosis.Recently, Dr. Yuh-shan Ho discussed the search methods of the paper "Dynamic analysis of international green behavior from the perspective of the mapping knowledge domain" Li et al. (Environ Sci Pollut Res 266087-6098, 2019a). In fact, Ho and co-workers have used the search methods in several papers Ivanović et al. (Scientometrics, 105145-160, 2015); Monge-Nájera & Ho (Rev Biol Trop 631255-1266, 2015); Ho & Hartley (Br J Psychol, 107768-780, 2016). In order to reply to the comments, this letter supplementarily explains the characteristics, scope, and limitations of search methods. In addition, the letter states that researchers can use improved methods suggested by Dr. Ho in future studies.Heavy metal pollution is a global ecological safety issue, especially in crops, where it directly threatens regional ecological security and human health. Selecting scientific evaluation methods is an important prerequisite for understanding the distribution of heavy metals in a region. To evaluate the distribution characteristics of arsenic (As), cadmium (Cd), copper (Cu), and zinc (Zn) in farmland soil-rice system in Doumen District of Zhuhai City, Pearl River Delta, we analyzed the high geological background area and heavy metal contents in soil by inverse distance-weighted interpolation and single-factor pollution index. Bioconcentration factor (BCF) was used to study the migration and accumulation characteristics of heavy metals. Then, the soil-rice system was evaluated comprehensively with a novel evaluation method, i.e., the influence index of comprehensive quality (IICQ). Results showed that As, Cd, Cu, and Zn in the soil of the study area followed normal distribution. Cd and Cu were the main pollutants whose point contamination rates were 50% and 22.86%, respectively. A total of 2.86% of the soil were contaminated by As, and no Zn contamination was observed in the soil. At the same time, As and Cd in rice were partially polluted, and the Cu and Zn were not polluted. The order of bioaccumulation coefficient was Cd > Zn > Cu > As, and no evident enrichment was observed. According to the impact index of IICQ to evaluate the pollution of heavy metals in the soil-rice system, 96.98% of the soil in study area was in a state of moderate, heavy, and extreme pollution, which were concentrated in the northern and central parts of the study area. The soil-rice system in the high geological background area was in a subhealthy state. A total of 90.69% of the soil were polluted, but the rice met the national food safety standards.Environment-biased technological progress plays a critical role in carbon reduction, while the association among environment-biased technological progress, energy consumption, and carbon emissions has not been paid enough attention. selleck kinase inhibitor Working with a unique spatial panel dataset of APEC economies spanning the 2000-2017 period, we employed the nonspatial panel model and the spatial panel model to investigate the role of fossil energy (FE) and clean energy (CE) consumption in carbon dioxide (CO2) abatement through environment-biased technological progress (EBTP). We decomposed EBTP into both emission-reducing biased technological progress (ErBTP) and energy-saving biased technological progress (EsBTP). The results show that the direct effect of EBTP on CO2 emissions was significantly negative and that the direct effect of ErBTP was significantly larger than that of EsBTP. EBTP reduced CO2 emissions through CE consumption, whereas it increased CO2 emissions through FE consumption, that is, EBTP had a "backfire effect" on FE consumption. More into detail, ErBTP had a larger effect on CO2 emissions in developing economies, while EsBTP played a more important role in developed economies. Furthermore, the results of the robustness test were consistent with our findings. Finally, several policy options were suggested to reduce CO2 emissions in APEC economies.This study examines the impacts of economic growth, energy consumption, tourism, and natural resources on the ecological footprint in the ASEAN countries for spanning from 1995 to 2016. For this purpose, the cross-sectional dependent test, the second-generation unit root test, and the Westerlund cointegration test have been applied. The Driscoll-Kraay panel regression model has been used to check the long-run relationship among the series. Also, the Dumitrescu-Hurlin panel causality test is used to determine the paths of causal interactions. These tests help to overcome the problem of cross-sectional dependence in panel data analysis. The results showed an inverted U-shaped EKC behavior in ASEAN countries, hence a negative relation between tourism and natural resources with the ecological footprint. This implies that tourism and natural resources help to improve the environmental quality in ASEAN countries.Eutrophication models are of great importance and are valuable tools for the development of policy and legislation. However, the parameter uncertainty and substantial computational cost lead to difficulties in decision-making, especially for complex models with multiple indicators. A multicriteria uncertainty analysis and parameter estimation (MUAPE) method, which selected behavioral parameters combined with Pareto domination and simultaneously obtained acceptable values for modeling by the maximum likelihood concept and kernel density estimation, was shown. This method, which did not assign thresholds and weights, was applied to analyze the uncertainty of the Chaohu Lake eutrophication model and estimate parameters. The results of the behavioral parameters were compared using different criterion sets, the relative error (RE) and the root mean square error (RMSE), and the results showed little discrepancy in terms of the effects on parameter uncertainty represented by the marginal probability density. The uncertainties of the parameters related to algal kinetics (i.e., BMR, PM, and KESS) were smaller than those of nutrient- and temperature-related parameters (i.e., KDN, Nitm, KTB, and KTHDR) for both sets of criteria. However, the reduction in the joint uncertainty of the two parameters was greater when RE was used than when RMSE was used. The acceptable values for the key parameters of the Chaohu Lake eutrophication model were also obtained by the RE criterion. The results strongly agreed with the observed values, and parameters could be applied for model prediction. This result indicated that the combination method was not only practical for reducing parameter uncertainty but also useful for determining parameter values. This method provides a basis for multicriteria uncertainty analysis and parameter estimation in eutrophication modeling.Decreased blood perfusion at the anastomotic site increases the risk of anastomotic leakage (AL) following colorectal surgery. Indocyanine green near-infrared fluoroangiography (NIRF/ICG) is a technique that allows for the assessment of intestinal perfusion before and after the formation of an anastomosis. We aimed to compare the rate of AL after colorectal surgery conducted with NIRF/ICG assessing vascular anastomotic perfusion and without this support. The data of patients who underwent colorectal surgery from November 2014 to February 2019 were reviewed retrospectively. Left-sided hemicolectomy, sigmoid resection, and anterior rectal resection were included. Emergency resections were excluded. Procedures conducted with NIRF/ICG and without NIRF/ICG (no-NIRF/ICG) support were compared using Fisher's and Mann-Whitney U test. Overall, 196 procedures were included, 98 were carried out with no-NIRF/ICG and 98 with NIRF/ICG. Patients' clinical and intraoperative characteristics were similar in the two groups. In the NIRF/ICG, fluorescence was detected in 100% of the cases; following NIRF/ICG the planned site of transection was changed in eight cases, whereas in one case the anastomosis was re-performed. Overall, six patients (3%) developed an AL, 0% in the NIRF/ICG and 6% (n = 6) in the no-NIRF/ICG group (p = 0.029). Median hospital length of stay was shorter in the NIRF/ICG group [6 days (IQR 6-7) vs. 7 days (IQR 6-9), p  less then  0.001]. The results of this study suggest that the use of the NIRF/ICG was safe for colorectal surgery and decreases the risk of anastomotic leak. A randomized trial is required to confirm these preliminary data.
Homepage: https://www.selleckchem.com/products/Hesperadin.html