Contribution on the Use of Household Waste as Bio-Admixture

In the civil engineering field, the incorporation of chemical admixtures is now a practical technics' used for improving the properties of concrete, such as improved workability, decreasing the water demand, increasing strength, etc. However, chemical admixtures have some disadvantages such as environmental pollution during both their manufacture and their use, else, there are rare somewhere. Because of this background, bio-admixtures appear principally useful, due to their environmental effect and friendly properties, bio-admixtures are substances obtained from a biodegradable product also resulting from the methanisation. The objective of this research is the valorization of household waste used as a bio-admixture. Moreover studying its effect on cement path workability, start/end of the cement setting.

Parameter Analysis of Electronic Gadgets during Homa

All of us are aware that the modern mechanical and electrical systems in joint collaboration of AI, CPS and IoT have affected our life much in drastic manner, at one end, they have provided ease and comfort, at other end, the electrical and magnetic radiations emitted by them have threatened the mental and physical fitness too. Surprisingly, the Asian Agnihotra process is much effective in reducing the electrical, magnetic radiations, emitting from electronic devices. The present manuscript deals with the computational analysis of electrical, magnetic radiations and power density measurement of environmental effect and gadgets after the Homa terapy. In gap of certain time, readings were recorded and it was observed that drastic reduction occurred at the place where Yajna was performed. This gap was curtailing gradually as time increases. The phenomenon can certainly be used to address the threats of human health due to electronic gadgets in 21st century.Also it supports the concepts of Smart cities where one can easily identify the numerous effects due to Yajna process.

MODELING TOURISM–ENVIRONMENT RELATIONSHIP IN AUSTRALIA: DOES ASYMMETRY MATTER?

Prior empirical studies have employed various econometric estimation techniques to study the environmental effect of tourism demand. Prominently, these econometric modeling techniques implicitly assume that the environmental effect of tourism is symmetrical, which could sometimes be problematic. This study, therefore, utilized two econometric estimation techniques, namely, the Pesaran et al. ( 2001 ). Bounds testing approaches to the analysis of level relationships. Journal of Applied Econometrics, 16(3), 289–326) symmetric autoregressive distributed lag (ARDL) and Shin et al. ( 2014 ). Modelling asymmetric cointegration and dynamic multipliers in a nonlinear ARDL framework. In Festschrift in Honor of Peter Schmidt, pp. 281–314. New York: Springer) nonlinear ARDL (NARDL) estimation technique to disentangle the effect of tourism demand on carbon emissions in Australia. The results from the symmetric ARDL model reveal that tourism demand significantly increases carbon emissions in the long run, indicating that a 1% increase in tourism demand contributes to a 0.155% increase in carbon emissions in the long run. Contrarily, the NARDL model shows that a positive shock (an increase) in tourism demand reduces carbon emissions while a negative shock (a decrease) in tourism demand increases carbon emissions in the long run. From the NARDL estimate, a 1% increase in tourism demand is associated with a 0.220% decline in carbon emissions, while a 1% decrease in tourism demand increases carbon emissions by 0.250%. Therefore, I argue that carbon emissions depend not only on the size of tourism demand but also on the pattern — thus the increase and decline — of tourism demand. The implications of these results for policy are discussed.

Leachability of Heavy Metals from Autoclaved Fly Ash-Lime Building Bricks

The fly ash as a byproduct of coal-fired power plants constitutes vital ecological problems. In Turkey, approximately 15 million tons ofashes are generated via the combustion of 40 million tons of lignite yearly. Worldwide, a number of investigation and applications wereundertaken to utilize fly ash in order to overcome the environmental problems. One of the application area of fly ashes is the production of building bricks. Characterization of fly ash samples from Seyitomer and Yatagan coal-firing power plants were conducted inthis study. TCLP 1311, ASTM3987-85 and EN 12457-2 leaching tests on the cylindrical fly ash/lime brick (FA/LB) samples which wereproduced from Seyitömer and Yatagan thermal power plant fly ash-lime mixtures were performed to determine the leachability ofsome chosen trace elements. The results show that the release of all trace elements was lower than the hazardous material limit valuesof waste acceptance. Thus, non- fired fly ash bricks are an advantageous way to solving environmental effect of disposal of fly ashes.

Cryptic local adaptation is pervasive across environmental and evolutionary gradients

Cryptic local adaptation—where an environmental effect masks the magnitude of the genetic contribution to a phenotype—has long been a topic of interest in ecology and evolution. Here, we systematically document the magnitude and drivers of two common forms of cryptic local adaptation—counter- and cogradient variation. Using a hierarchical Bayesian meta-analysis, we calculated the overall effect size as 1.03 for countergradient variation and 0.90 for cogradient variation. This result indicates that the genetic effect of cryptic local adaptation is approximately equal to a one standard deviation change in trait value between the most disparate populations. We also found that the abiotic and biotic covariates with the largest mean effects were temperature (2.50) and gamete size (2.78), although there was substantial variance. Our results demonstrate the pervasiveness and large effect of cryptic local adaptation in wild populations and underscores the importance of accounting for these effects in future studies.

Raw Material Consumption Controls on Environment Impacts of Sofa Production: A Case Study Based on Ecological Footprint

Wooden furniture production consumes a lot of forest resource and other resources, so it is important to estimate its environmental effect. In this research, we collected data in a sofa factory of China and appraised its environment impacts by the ecological footprint (EF) methodology. The results showed that the total EF of the sofa factory was 2 316.25 gha/year (gha: global hectare). The average EF of a sofa was 0.18 gha/year. For the total EF of the sofa factory, main contribution came from wooden materials (55%), followed by non-wooden materials (41.26%), and these two categories contributed above 96% of the total EF. Human labor accounted for 2.21% of the total footprint. The built land and water contributed a little to the total EF. For the total EF of the wooden materials, main contribution came from wood beams (57.6%), followed by plywood (41.08%); and for the total EF of the non-wooden materials, main contribution came from sponge (95.37%). In the end, we concluded that the incorporate of recycled wooden material and reused sponge in the sofa production could be viewed as an important strategy to achieve more sustainable manufacturing.