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The particular resin-matrix bare cement coating breadth resulting from the intracanal fitting of enamel underlying tunel content: the integrative review.
In semi-arid regions, soil phosphorus (P) dynamics in cereal-legume intercropping are not yet fully elucidated, particularly in relation to integrated application of fertilizers. To this aim, we investigate the effects of different fertilizers on various P fractions in relation to the rhizosphere-microbial processes in a cowpea/maize intercropping system. Field experiments were conducted during two consecutive years (2016-2017) in a split-plot design by establishing cowpea/maize alone or intercropped onto the main plot, while the sub-plot was treated with four types of fertilization, i.e. no fertilizer addition (control), organic amendment (compost), mineral fertilizers (NPK) and multi-nutrient enriched compost (NPKEC). Our results showed that NPKEC fertilizer increased NaHCO3-Pi by 69% in maize, 62% in cowpea and 93% in intercropped plots compared to control plots. Similarly, a significant increase in the NaHCO3-Po fraction was also recorded with NPKEC treatment in all cropping systems. In case of moderatelyzation. Furthermore, the strong association of microbial biomass P (MBP) and acid phosphates (ACP) with NaOH-P fraction indicated moderately available P cycle in soil was mainly driven by microbial-related processes. Factor analysis map and two-way ANOVA confirmed that fertilization regime had a stronger effect on all tested variables compared to cropping system. Altogether, our results suggest that a combination of microbial-rhizosphere processes controls the dynamics of P fertility in semi-arid soils. In the broader context of improving soil P fertility, it is highly recommended the use of environmentally sustainable sources of fertilizer, such as NPKEC, which can enhance the competitive performance of legume-cereal intercropping under semi-arid agroecosystems.Mycelium is an abundant waste from the fermentation industry, and the environmental problems associated with its required disposal seriously limited the development of fermentation industry. In China, millions of tons of various kinds of mycelium residues were produced each year. Research into providing added-value to mycelium, while avoiding its disposal, is hence of paramount importance. Mycelium can be used as carrier for enzymes, while the enzyme immobilization moreover improves their stability and lifetime performance. Carrier recycling, the natural degradation and disposal of artificial polymer carriers are critical issues in immobilization. This research investigated its use to manufacture a highly-stable immobilized enzyme. An acid pretreatment was employed to enhance the adsorption ability of mycelium, and its adsorption ability was compared with other carriers. Under the optimal conditions, a core-shell immobilized enzyme with porous structure was obtained. The stability and the recycle results of the evaluation indicated the excellent performance of the immobilized enzyme. The mycelium recycling was also investigated to verify the practicability. All the results indicated that the use of a mycelium-based carrier was a promising strategy for the reutilization of the fermentation waste, and this technique provides an alternative way to reduce the total amount of the waste mycelium. Meanwhile, the stability and reusability performance of the mycelium-based immobilization could also decrease the influence of the disposal of the solid waste from denatured enzymes to the environment.Generally, the mechanical strength and stiffness of old corrugated cardboard (OCC) waste paper are decreased after multiple recycling procedures. Surface sizing starch, which is extensively used in the surface sizing of paper making, accumulates after dissolving from the fibers and is transformed into pollutant during the OCC re-pulping process. To overcome the pollution and reutilization problem of the waste starch during the recycling process of OCC paper, waste starch was ionized using hydrogen peroxide (H2O2) to improve the mechanical properties of OCC paper during the reutilization. The results showed that the carboxyl group of waste starch increased with an increasing degree of ionization, resulting in enhanced copper ion adsorption capacity. Furthermore, the retention rate of the modified starch in the wet-end increased from 18.0% to 48.2%. The OCC paper presented the highest burst index and tensile strength of 8.94 kPa m2/g and 112.5 N m/g, respectively, when MS-2 was added. This work has great significance for implementation of the cleaning production of OCC waste papers and the reutilization of the waste starch.Pharmaceutically active compounds are newly recognized micropollutants which are ubiquitous in aquatic environment mainly due to direct discharge of treated and untreated wastewater from wastewater treatment plants. These contaminants have attracted mounted attention due to their toxic effects on aquatic life. They disrupt biological processes in non-target lower organisms upon exposure. Biodegradation, photo-degradation, and sorption are key processes which determine their fate in the environment. A variety of conventional and advanced treatment processes had been extensively investigated for the removal of pharmaceuticals from wastewater. However, due to structural complexity and varying operating parameters, complete removal seems ideal. Generally, due to high energy requirement of advanced treatment technology, it is considered cost ineffective. Transport of pharmaceutical compounds occurs via aquatic channels whereas sediments and aquatic colloids play a significant role as sinks for these contaminants. The current review provides a critical understanding of fate and toxicity of pharmaceutical compounds and highlights their vulnerability and occurrence in South Asia. Phosphoramidon cell line Antibiotics, analgesics, and psychiatric drugs were found predominantly in the water environment of South Asian regions. Despite significant advances in understanding pharmaceuticals fate, toxicity, and associated risks since the 1990s, still substantial data gaps in terms of monitoring, human health risks, and legislation exist which presses the need to develop a more in-depth and interdisciplinary understanding of the subject.Biochar has been widely applied to paddy fields to improve soil fertility, crop productivity and carbon sequestration, thereby leading to variations in the CO2 exchange between the paddy fields under flooding irrigation and the atmosphere, as indicated by many previous reports. However, few relevant reports have focused on paddy fields under water-saving irrigation. This study conducted a field experiment to investigate the effects of three biochar addition rates (0, 20 and 40 t ha-1) on the CO2 exchange between paddy fields under controlled irrigation (CI, a water-saving irrigation technique) and the atmosphere in the Taihu Lake region of Southeast China. Our results showed that biochar addition increased the paddy field ecosystem respiration (Reco) and the soil respiration rate (Rs) in the CI paddy fields. And biochar application increased the total CO2 emissions and the total soil CO2 emissions, especially at a rate of 40 t ha-1. In contrast, gross primary productivity (GPP) was decreased and the net ecosythen 0.01). The combination of biochar addition at a rate of 20 t ha-1 and water-saving irrigation has the potential to increase the size of the carbon sink and promote soil enzyme and microbial activities in paddy field ecosystems.This study provides new empirical evidence on the determinants of renewable energy consumption in the case of OECD economies over the period from 1990 to 2017. To examine the long run relationship among variables of renewable energy consumption and its determinants, this study uses the Durbin Hausman group mean cointegration test. The long-run and short-run coefficients are estimated via the cross-sectional Autoregressive Distributive Lag (CS-ARDL) method. The significant cointegration vector confirms the long-run equilibrium among the variables presented in the model. The results show that income, human capital, energy productivity, energy prices, and eco-innovation are important factors in explaining renewable energy consumption. This study adopts the Augmented Mean Group (AMG) method to check the robustness of the model. The results are found to be consistent with the estimates of the cross-sectional Autoregressive Distributive Lag Model method. To offer viable solutions to environmental problems and to achieve the targets set in the Paris Climate Agreement, policies and strategies should be devised to increase the share of renewable energy in the overall energy mix.This study analyses the dynamics of carbon emissions for N-11 countries from 1990 to 2017. We introduce some innovative factors such as financial development, human capital, renewable energy consumption, and gross domestic product as determinants of carbon dioxide (CO2) emissions. The empirical estimations are based on Pesaran (2007) unit root test, common correlated effect mean group, and augmented mean group. The findings reveal a positive relationship between carbon emissions and financial development as well as a gross domestic product. In contrast, technological innovation and renewable energy consumption are adversely related to carbon emissions. These findings have important implications, and we recommend the promotion of technological innovation and the use of renewable energy consumption. This will help in achieving the goals set by COP21.The purpose of the present study is to explain the long-run and causal effects of innovation, financial development, and transportation infrastructure on CO2 emissions using the combined cointegration and wavelet coherence approaches over the period from 1971 to 2018, while using economic growth as a control variable in the model. The outcomes of the Bayer-Hanck cointegration test show that there is an important cointegration equation among CO2 emissions, innovation, financial development, transportation infrastructure, and real GDP. Moreover, the findings from a wavelet power spectrum reveal that there is a significant vulnerability in innovation, financial development, transportation infrastructure, and CO2 emissions at different time frames and frequencies. Furthermore, the outcomes of wavelet coherence approach reveal that (i) Innovation is observed as a significant predictor of CO2 emissions over the period from 2007 to 2013; (ii) In the long run, there are negative correlations between CO2 emissions and financial development; (iii) Over the periods from 2000 to 2015, and from 1985 to 1989, transportation significantly causes CO2 emissions. Our findings have substantial policy implications that suggest there is a need to strengthen innovation and transportation infrastructure to achieve environmental sustainability targets.It has been argued that learning from flood experience contributes to flood resilience. However, it is unclear what such a learning process involves, and it is debatable whether flood experience always leads to flood resilience. To bridge this research gap, we develop the Learning from Floods (LFF) model to articulate the process of learning from flood experience and how it affects flood resilience. The LFF model suggests that flood experience prompts individual and social learning to give rise to flood-related knowledge, which is subject to learning opportunity, learning motivation, and prior knowledge. Flood-related knowledge could inform flood management and/or other action, which however can be limited by barriers, including information and resource availability, attitude, social capital, and policy barriers. Together, flood-related knowledge and its resulting action are considered the lesson learned, which then affects flood resilience through changing floodability, recoverability, adaptability, and/or transformability.
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