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Mulberry has been widely studied for its capacity to tolerate heavy metals. However, the anatomical and molecular response mechanisms of Cd detoxification and transportation in mulberry have not been fully elucidated. In this study, the anatomical characteristics, Cd and mineral element uptake and transport, and transcriptome profiling of mulberry were studied under Cd stress. The results showed that mulberry possessed strong detoxification and self-protection abilities against Cd stress. The growth and photosynthetic pigment contents of mulberry were only slightly affected when the soil Cd content was less than 37.0 mg/kg, while the Ca and Mg contents in the mulberry roots were clearly (p less then 0.05) increased by 37.85%-40.87% and 36.63%-53.06% in 37.0-55.4 mg/kg Cd-contaminated soil. check details Meanwhile, the relationships between antioxidant enzyme activities, such as peroxidase, catalase, and ascorbate peroxidase, and Cd content in plants were positive. Furthermore, the structures of leaf cells, root and stem te MAPK signaling pathways to increase plant tolerance to Cd stress. The results suggested that the physiological, cellular and tissue, and transcriptional regulation of mulberry can facilitate its stress adaptation in Cd-contaminated soil.To ensure the safe discharge of treated wastewater to the environment, continuous efforts are vital to enhance the modelling accuracy of wastewater treatment plants (WWTPs) through utilizing state-of-art techniques and algorithms. The integration of metaheuristic modern optimization algorithms that are natlurally inspired with the Fussy Inference Systems (FIS) to improve the modelling performance is a promising and mathematically suitable approach. This study integrates four population-based algorithms, namely Particle swarm optimization (PSO), Genetic algorithm (GA), Hybrid GA-PSO, and Mutating invasive weed optimization (M-IWO) with FIS system. A full-scale WWTP in South Africa (SA) was selected to assess the validity of the proposed algorithms, where six wastewater effluent parameters were modeled, i.e., Alkalinity (ALK), Sulphate (SLP), Phosphate (PHS), Total Kjeldahl Nitrogen (TKN), Total Suspended Solids (TSS), and Chemical Oxygen Demand (COD). The results from this study showed that the hybrid PSO-GA algorithm outperforms the PSO and GA algorithms when used individually, in modelling all wastewater effluent parameters. PSO performed better for SLP and TKN compared to GA, while the M-IWO algorithm failed to provide an acceptable modelling convergence for all the studied parameters. However, three out of four algorithms applied in this study proven beneficial to be optimized in enhancing the modelling accuracy of wastewater quality parameters.Tropical forests are considered for greater species diversity and ensure climate change mitigation through carbon (C) sink which maintains terrestrial C storage in the world. Tree provides both tangible (timber, fuelwood, etc. For humans) and intangible benefits (as climate security through C sink) that maintains ecosystem processes. Tropical Sal forests are gaining popularity due to its remarkable contribution as C sink, storage, budget and flux. In the present study, an effort has been made to explore vegetational statistics along with C storage, budget and flux in four different site qualities (SQ) of Sal dominating tropical deciduous forest of Chhattisgarh, India. The density (individuals/ha) and basal area (m2/ha) varied from 710 to 1010 and 33.5-46.8 in tree, 2000-2500 and 0.32-0.33 in sapling and 9750-14500 and 17.96-21.43 in seedling, respectively in varying SQ. The total biomass varied from 182.27 to 375.84 t/ha in varying SQ. The total C in trees varied from 79.86 to 163.63 t ha-1. Quantity of C in above ground and below ground portions in trees on different sites were 72.32-143.36 t/ha and 7.54-20.27 t/ha, respectively. Total aboveground tree C sequestration values ranged between 5.12 and 11.68 t C ha-1yr-1 on different SQ. The C storage and net fluxes were represented in compartment models to assess the various SQ. As per models, forest received 14.63, 10.81, 8.19 and 6.83 t/ha/yr of C input through net primary production (NPP) in SQ-I, SQ-II, SQ-III and SQ-IV, respectively which are depleted as 3.55, 3.12, 2.77 and 2.33 t/ha/yr as total C input in the soil. Moreover 1.77 (SQ-I), 1.60 (SQ-II), 1.46 (SQ-III) and 1.30 (SQ-IV) t ha-1 yr-1of C were transferred from foliage to litter compartment, respectively. These dynamics, budgeting and flux of C represents "how C stored and moved within an ecosystem". Similarly, it affects overall terrestrial C pools that is governed by varying SQ.In today's era, we need to replace chemical or physical processes of nanoparticle synthesis with biosynthesis processes to avoid environmental damage. These bioderived nanoparticles can help in addressing the problems of wastewater treatment and biofuels production. This review gives an insight into solving multiple problems using a nano-biorefinery approach in conjugation with wastewater treatment. The major advantage of using a bio-derivative method in nanoparticle synthesis is its low toxicity towards the environment. The current review discusses the development of nanoscience and its biogenic importance. It covers the usage of microalgae for (A) Nanoparticle's biosynthesis (B) Mechanism of nanoparticle biosynthesis (C) Nanoparticles in bio-refinery processes (D) Wastewater treatment with microalgae and bio-derived nanoparticles (E) A hypothetical mechanistic approach, which utilizes the photothermal effect of metallic nanoparticles to extract lipids from the cells without cell damage. The term "cell milking" has been around for quite some time, and the hypothesis discussed in the present study can help in this context. The current hypothesized process can pave ways for futuristic endeavors to conjugate nanoparticles and microalgae for viable and commercial production of biofuel, nanoparticles, and many other molecules.Hydropeaking affects downstream ecosystems and water uses. We assessed the effect of small re-regulation reservoirs (RRR) located downstream of hydropower plants to mitigate the impact of hydropeaking operations, in terms of the tradeoffs between flashiness of flows and power system cost. The study is performed on a hypothetical power system composed by one reservoir hydropower plant, one coal-fired plant, one diesel-fired plant, and one wind power plant. Hourly operations within a weekly horizon by each plant are prescribed by a system-wide cost-minimization model. Operations are constrained by minimum flows (MIF) and maximum ramping rates (MRR). The model was run for selected weeks, representative of the four seasons and three water year types. Results show that MIF and MRR constraints can achieve improvements in the flashiness of flows, from Richard-Baker index above 0.8 down to less than 0.1. However, without a RRR, these constraints can cause a power system cost increase of up to 70% with respect to the unconstrained case.
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