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An assessment of manufactured bioactive tetrahydro-β-carbolines: A new healing hormones standpoint.
The path to sustainable economic growth and development has preoccupied most economies and the European Union (EU) member countries is no exception. Thus, the current study is aimed at revisiting the energy-induced growth by disaggregating energy consumption into (renewable and non-renewable energy consumption) as means of growth. Also, the role of research and development (R&D) in the attainment of sustainable growth in the panel of EU countries over the period 1997-2014 is examined. Accordingly, the preliminary investigation revealed a significant evidence of cointegration in the panel of estimated variables. The study also expectedly suggests that 1% increase in non-renewable energy consumption, renewable energy consumption, and R &D in the long-run is responsible for a respective increase of 0.60%, 0.13%, and 0.05 in the panel countries growth. Furthermore, the causality evidence from renewable energy consumption to economic growth is not only significant but is observed in more countries than the causality from non-renewable energy consumption to economic growth. Thus, it implies that the commitment to sustainable growth and climate actions of the EU countries is fact yielding desirable outcome. Similarly, research development is observed to play a significant and causality impact on the economic growth of the panel countries. In general, the study posits an interesting and a potentially effective policy outlook and economic perspective for the bloc countries.Honey is a very unusual food - a natural substance produced by bees from the nectar or secretion of plants and elaborated by the bees themselves. Differences in trace elements and rare earth elements (REEs) are related to botanical and geographical origin, and, as such, honey could be a suitable indicator for metal occurrence in the environment within the bee forage area. A total of 40 metals were analyzed by inductively coupled plasma-mass spectrometry in multi-floral honey samples from different geographical areas. The highest levels of trace elements and REEs were found in honey from Tanzania, while lower concentrations were recorded in Italian, Kazakhstan, the Balkans, and South American honeys. Tanzanian honey is of interest due to its different content of metals, related to the peculiar lithology and the mineral resources of this country. Rubidium and aluminum were the most represented nonessential elements, while manganese, iron, zinc, and copper registered the highest values of the essential elements. Very low concentrations were found for the toxic elements lead, cadmium, and arsenic. The present study showed differences in metal concentrations in multi-floral honey from different countries, confirming the strong influence of the area of origin on the chemical composition of honeys.Groundwater offers an important source for drinking water around the world; however, groundwater quality is under increasing pressure and is particularly vulnerable in karst areas. Total organic carbon (TOC) is significantly related to groundwater quality and when not removed by water treatment processes can give rise to the formation of disinfection by-products trihalomethanes (THMs) above the level of compliance. This study investigated the source of organic matter giving rise to the THM exceedances in a groundwater supply in a karst area. Results highlighted that source water for this groundwater supply was prone to surface water infiltration linked to rainfall events; was not accurately captured in the zone of contribution (ZoC); had inadequate treatment of natural organic matter (NOM) and suffered THM exceedances in 45% of sampling events. THMs were mostly represented by chloroform and caused by terrestrial delivered reprocessed organic matter. This work will support water managers tasked with decision-making.Adsorption process is suitable to the advanced treatment of tetracycline antibiotics (TCs; including tetracycline (TTC), oxytetracycline (OTC), and chlortetracycline (CTC)) in poultry wastewater. In this research, Mn oxide-doped Cu oxide (MODCO) was synthesized and used for the removal of TTC, OTC, and CTC. According to the XRD and SEM analysis results, MODCO has an amorphous crystal structure and is formed by the aggregation of nano-sized particles with a uniform distribution of Cu and Mn elements. In addition, MODCO has a BET surface area of 67.7 m2/g and a pHIEP value of 7.8. The results of batch experiments illustrated that the reaction rates for the removal of three TCs were in the order of OTC > CTC > TTC. In addition, the theoretical maximum amounts of TTC, OTC, and CTC adsorbed on MODCO were determined to be 2.90 mmol/g, 4.15 mmol/g, and 2.20 mmol/g via the Langmuir model, respectively. The optimal removal performances of TCs were achieved in the pH range of 6~9, and the coexistence of anions posed an unnoticeable effect on the removal efficiencies. The spectroscopic analysis results demonstrated that the removal mechanism of TCs was mainly attributed to surface complexation. Furthermore, a part of TCs may be decomposed by Mn oxides during the removal process according to the UV spectrogram results. Overall, MODCO has exhibited a great potential for the removal of TCs from aqueous solution.Over the past few decades, rivers have become severely polluted as a result of receiving vast quantities of domestic and industrial wastewater. The identification of the major factors that influence water quality is crucial to understand the interactions of anthropogenic and natural factors and develop river restoration projects. In this study, the QUAL2Kw water quality model was used to quantitatively evaluate the most critical factors for water quality at two sites with different meteorological conditions and urban scales. The genetic algorithm (GA) was used to optimize the parameters in the model. The Monte Carlo simulation (MCS) method was used to assess the model uncertainty and sensitivity in all reaches for five water quality outputs (temperature, CBOD, DO, TP, and TN) in two seasons. The K-means clustering method associated with the sensitivity results was used to identify the major factors influencing the water quality in all reaches from the input data and the model parameters. The results showed that CBOD, TN, and TP were most sensitive to headwater and tributary quality. DO tended to be affected by more natural reactions than the other water quality indicators. In the cold and dry seasons and the more urbanized areas, river pollution was more severe, and the impact of natural reactions was reduced. The simulation results revealed the reliability of QUAL2Kw in modeling the quantity and quality of all river reaches. The method applied in this study is beneficial for the improvement and management of the water environment.Watershed exposure caused by the use of pesticide in farmland has become a major environmental concern. Currently, there are two major approaches to quantify the watershed exposure monitoring and modeling. Watershed monitoring is expensive, and short-term monitoring is difficult to be used to address potential long-term exposure variability. Model simulation is widely used because not only can it save time and efforts, but it can also simulate the environmental transport process of pesticide over a long time frame to better understand temporal variability. Research on application of commonly used pesticide exposure assessment models such as PRZM, RICEWQ on watershed scale has found that those models need to be coupled together with waterbody models to assess pesticide exposure at the watershed level, and they are applied on a single crop in targeted area within a watershed, failing to consider the diversity of regional and watershed cropping conditions. To address pesticide exposure assessment in different waterbodies after application on multiple crops within a watershed, this study coupled PRZM, RICEWQ, and SWAT models simultaneously in North Tiaoxi watershed. PRZM model and RICEWQ model were used to simulate the exposure of pesticides in dryland and rice paddies separately, and the pesticide masses through runoff, overflow, spray drift, and other routes simulated by the above two models were set as the input of SWAT model which could simulate hydrology and pollutant transport at watershed scale. Pesticide use, cropping, hydrology, and watershed data were collected, and parameterized for exposure modeling of carbaryl in the North Tiaoxi River after uses on orchard, corn, and rice within the watershed. Model predictions showed high degree of agreement between the simulated results and the field monitoring data. The coupled PRZM, RICEWQ, and SWAT model could simulate reasonably well pesticide exposures in waterbodies with applications on multiple crops within a watershed.Interest in understanding the cycling of ethanol in the environment has grown as ethanol use as a gasoline additive has increased. The production of acetaldehyde from ethanol was measured in Southern California coastal seawater. The rate of increase of acetaldehyde was positively correlated with the rate constant for ethanol biodegradation and bacteria count and was consistent with two consecutive first-order reactions where acetaldehyde is first biologically produced from ethanol then consumed. Correlation with bacteria counts suggested that acetaldehyde degradation was also a biological process. The rate constants for acetaldehyde production from ethanol and acetaldehyde loss averaged 3.0 ± 3.4 × 10-3 min-1 and 2.3 ± 4.5 × 10-2 min-1 respectively. The branching ratio for acetaldehyde production from ethanol was 0.46 ± 0.26 and estimated acetaldehyde biological production rates ranged from 0.022 to 0.800 nM min-1. With high bacterial counts, biological production rates from ethanol exceeded photochemical production rates from chromophoric dissolved organic matter. Overall, acetaldehyde production rates were larger than biodegradation rates, suggesting these waters are a source of acetaldehyde to the atmosphere. Extrapolation to higher ethanol concentrations associated with spills suggests that the production rate of acetaldehyde will initially increase and then decrease as ethanol concentrations increase.BACKGROUND AND OBJECTIVE Exenatide promotes insulin secretion and inhibits postprandial glucagon secretion. Polyethylene glycolated exenatide injection (PB-119), a derivative obtained by modification of exenatide, is more stable in metabolic behavior than exenatide in vivo. WAY-EKI 785 Our study aimed to evaluate the safety, tolerability and pharmacokinetic characteristics of polyethylene glycolated exenatide as a single subcutaneous injection in healthy volunteers. METHODS Seventy subjects were randomly assigned to 8 incremental dosage groups (2, 5, 10, 25, 50, 100, 200 and 400 µg). The 2- to 50-µg groups had 8 subjects in each group (the ratio of test preparation to placebo was 31), and the 100- to 400-µg groups had 10 subjects in each group (the ratio of test preparation to placebo was 41). All the subjects received a single subcutaneous injection of polyethylene glycolated exenatide and placebo according to the dosage groups. The tolerability test was conducted in the 2- to 10-µg groups. The pharmacokinetic test was carried out in the 25- to 400-µg groups, and plasma samples were collected to determine the pharmacokinetics of polyethylene glycolated exenatide.
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