Notes

Solution sodium level connected with cardio-arterial wounds in sufferers with Kawasaki ailment.
Enhalus acoroides, the dominant species in tropical seagrass meadows, is experiencing declines worldwide for complicated reasons and the restoration of these meadows is extremely urgent. Nursery stock grown from the initial seedlings could be used to enhance success of E. acoroides meadow restoration. In this study, the effects of different cultivation methods on the seedling development and longer-term cultivation of E. acoroides were compared using various artificial culture substrates (culturing with sea mud substrate, agar substrate, without a matrix, and using a submerged foam substrate). Heparan nmr Results suggested that none of the seedlings showed any sign of root gemination when cultured with sea mud substrate. Though the seedlings cultured with an agar substrate grew faster than those cultured with sea mud, those seedlings could not be cultured further as the agar substrate softened and became rotten after 3 weeks. The initial seedlings cultured in matrix-free seawater germinated with normal leaf growth but no roots developed. In contrast, the initial seedlings planted in holes of a submerged foam substrate grew successfully, developing into healthy seedlings with green leaves and long roots. These seedlings could be cultured for up to 23 weeks. Based on these results, a new, low-cost and labor-efficient method for E. acoroides seedling development was established, which might have a great application potential for efficient E. acoroides seagrass meadows restoration.Several reports have elucidated the removal of pharmaceutical residues in municipal wastewater treatment plants (WWTPs). However, there remains a need to determine the spatial distribution of pharmaceuticals in the unit processes of full-scale municipal WWTPs. Herein, spatial variations of fifteen pharmaceuticals in the unit processes of four full-scale municipal WWTPs were assessed by analyzing both solid and liquid samples. Furthermore, different pathways of each pharmaceutical such as biodegradation, adsorption, deconjugation, and electrostatic interaction were investigated. Pharmaceutical mass loading were measured at various points for the different unit process and evaluated using liquid chromatography-tandem mass spectrometry. The average mass loading of acetaminophen and caffeine decreased tremendously in the first biological treatment process regardless of the process configuration. In contrast, a temporary increase was observed in the mass loading of ibuprofen in the anaerobic and/or anoxic processes, which was presumably caused by deconjugation. Additionally, the adverse effect of coagulation on ibuprofen removal was validated. The major removal mechanism for the selected antibiotics, except for sulfamethoxazole, was the adsorption by biosolids due to electrostatic interaction. Subsequently, a drastic decrease was observed in their mass loadings in the solid-liquid separation process of the WWTPs. The membrane bioreactor (MBR) shows excellent capability for mitigation of pharmaceuticals in municipal wastewater because it comprises a high concentration of biosolids that act as adsorbents. The evaluation of the spatial variations of the selected pharmaceuticals in different unit processes provides valuable information on their behavior and removal mechanisms.This paper performs a two-stage analysis to investigate the trade-off between economic growth and pollution abatement. We first estimate the marginal abatement costs (MACs) of CO2, SO2, NOx, and particulate matter (PM) for 30 major Chinese cities from 2006 to 2015 via the shadow price approach under the directional distance function framework. The results show that the optimal directional vector is (11, -1, -1, -1, -1), which may indicate that increasing economic output is much more important than reducing the above undesirable outputs in these cities. Then, having examined the relationship between MACs and air quality by panel regression and dose-response analyses, we found ranges of positive and statistically significant treatment effects for the MACs of SO2 and PM on their respective concentrations. The overall results suggest that government officials in these cities may give precedence to economic growth over environmental protection.Climate change is identified as a major threat to wetlands. Altered hydrology and rising temperature can change the biogeochemistry and function of a wetland to the degree that some important services might be turned into disservices. This means that they will, for example, no longer provide a water purification service and adversely they may start to decompose and release nutrients to the surface water. Moreover, a higher rate of decomposition than primary production (photosynthesis) may lead to a shift of their function from being a sink of carbon to a source. This review paper assesses the potential response of natural wetlands (peatlands) and constructed wetlands to climate change in terms of gas emission and nutrients release. In addition, the impact of key climatic factors such as temperature and water availability on wetlands has been reviewed. The authors identified the methodological gaps and weaknesses in the literature and then introduced a new framework for conducting a comprehensive mesocosm expetic simulations, valid comparative results, comprehensive understanding and supports coordination between researchers. This can help to find a sustainable management strategy for wetlands to be resilient to climate change.In neural networks literature, there is a strong interest in identifying and defining activation functions which can improve neural network performance. In recent years there has been a renovated interest in the scientific community in investigating activation functions which can be trained during the learning process, usually referred to as trainable, learnable or adaptable activation functions. They appear to lead to better network performance. Diverse and heterogeneous models of trainable activation function have been proposed in the literature. In this paper, we present a survey of these models. Starting from a discussion on the use of the term "activation function" in literature, we propose a taxonomy of trainable activation functions, highlight common and distinctive proprieties of recent and past models, and discuss main advantages and limitations of this type of approach. We show that many of the proposed approaches are equivalent to adding neuron layers which use fixed (non-trainable) activation functions and some simple local rule that constrains the corresponding weight layers.
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