Kawasaki disease (KD) is a childhood vasculitis and the most frequent cause of paediatric acquired heart disease in North America, Europe and Japan. It is increasingly recognised in rapidly ...industrialising countries such as China and India where it may replace rheumatic heart disease as the most common cause of acquired heart disease in children. We review the current global epidemiology of KD and discuss some public health implications.
Electrocoagulation (EC) is an excellent and promising technology in wastewater treatment, as it combines the benefits of coagulation, flotation, and electrochemistry. During the last decade, ...extensive researches have focused on removal of emerging contaminants by using electrocoagualtion, due to its several advantages like compactness, cost-effectiveness, efficiency, low sludge production, and eco-friendness. Emerging contaminants (ECs) are micropollutants found in trace amounts that discharging into conventional wastewater treatment (WWT) plants entering surface waters and imposing a high threat to human and aquatic life. Various studies reveal that about 90% of emerging contaminants are disposed unscientifically into water bodies, creating problems to public health and environment. The studies on removal of emerging contaminants from wastewater are by global researchers are critically reviewed. The core findings proved that still more research required into optimization of parameters, system design, and economic feasibility to explore the potential of EC combined systems. This review has introduced an innovative collection of current knowledge on electro-coagulation for the removal of emerging contaminants.
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CEKLJ, EMUNI, FIS, FZAB, GEOZS, GIS, IJS, IMTLJ, KILJ, KISLJ, MFDPS, NLZOH, NUK, OILJ, PNG, SAZU, SBCE, SBJE, SBMB, SBNM, UKNU, UL, UM, UPUK, VKSCE, ZAGLJ
The study examines the optimum condition of an electro‐coagulation (EC) unit for treatment of hospital wastewater (HWW) using iron (Fe) electrodes. The impact of factors such as pH, current, and ...electrolysis time on COD, chloride, and anode dissolution was investigated. For this purpose, Box–Behnken (BB) design based on the response surface methodology (RSM) was used to design and analyze the results. The predicted value of chemical oxygen demand (COD) and chloride removal at optimum conditions (pH: 7.41, current: 2.64 A and electrolysis time: 41.31 min) were 92.81% and 71.23%, respectively. At same optimum conditions, the value of energy and electrode consumption per kg of COD was 0.06376 kWh/kg COD and 1.362 kg/kg COD, respectively. High value of R2 (i.e., R2 > 99%) for all three responses (Y1, Y2, and Y3) obtained from ANOVA confirms that the proposed model is valid, accurate, and acceptable. The kinetic study shows linear relationship and follows pseudo‐first‐order kinetics. Pareto graph shows that the percentage impact of current factor on COD and chloride removal was maximum, that is, 54.984% and 66.79%, respectively. Lastly, the total cost of EC treatment was calculated in terms of COD removal and was found to be 55.47 ₹/kg COD.
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Using Fe electrode results in 92.81% COD and 71.23% Chloride removal, respectively.
High value of R2 > 99% for all three responses from ANOVA confirms the proposed model is valid.
Pareto analysis shows current factor has maximum percentage impact on pollutant removal.
Kinetic study shows linear relationship and follows pseudo‐first‐order kinetics.
Treatment and optimization of hospital wastewater.
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FZAB, GIS, IJS, KILJ, NLZOH, NUK, OILJ, SAZU, SBCE, SBMB, UL, UM, UPUK
•Arsenic in soils in arsenic elevated ground water contaminated sites during monsoon rice cultivation.•Heavy metal(liod)s accumulation in the agricultural soils irrigated with contaminated ...groundwater in winter.•Heavy metal(liod)s dispersion in the agricultural soils with rain water in monsoon.•Estimate the Potential Ecological Risk, Bio-concentration Factor, Translocation Factor of heavy metal(liod)s.•Estimate the Maximum Allowable Daily Level of arsenic through rice consumption and its effect on plants and human.
In the Bengal deltaic region, the shallow groundwater laced with arsenic is used for irrigation frequently and has elevated the soil arsenic in agricultural soil. However, the areas with seasonal flooding reduce arsenic in top layers of the soils. Study shows arsenic accumulation in the deeper soil layers with time in the contaminated agricultural soil (19.40±0.38mg/kg in 0–5cm, 27.17±0.44mg/kg in 5–10cm and 41.24±0.48mg/kg in 10–15cm) in 2013 whereas depletion in 2014 and its buildup in different parts of monsoon rice plant in Nadia, India. Principal Component Analysis and Cluster Analysis were performed, and Enrichment Factor was calculated to identify the sources of arsenic in the soil. Potential Ecological Risk was also calculated to estimate the extent of risk posed by arsenic in soil, along with the potential risk of dietary arsenic exposure. Remarkably, the concentration of arsenic detected in the rice grain showed average value of 1.4mg/kg in 2013 which has increased to 1.6 in 2014, both being above the permissible limit (1mg/kg). These results indicate that monsoon flooding enhances the infiltration of arsenic in the deeper soil layer, which lead to further contamination of shallow groundwater.
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GEOZS, IJS, IMTLJ, KILJ, KISLJ, NUK, OILJ, PNG, SAZU, SBCE, SBJE, UL, UM, UPCLJ, UPUK, ZRSKP
Currently, reservoirs, lakes, rivers etc. are being overloaded by the demand for fresh water, due to rapid industrialization and population explosion, and also the effluents from industries and ...domestic wastewater are continuously polluting these resources. To address this issue, several decentralized wastewater treatment system (DWTS) have been installed all over the globe to reuse and recycle wastewater/graywater for non-potable uses such as fire protection, toilet-flushing, and landscape irrigation. In this review, a comparison between different DWTS was carried out to evaluate their performance, merits and limitations. Hybrid technologies like the electrically enhanced biomass concentrator reactor and integration of physical/ biological methods with bio-electrochemical systems such as microbial fuel cells were found to be the most promising methods for near complete removal of pollutants from wastewater and also the issue of membrane fouling was reduced to a good extent.
In a smart city environment, with increased demand for energy efficiency, information exchange and communication through wireless sensor networks (WSNs) plays an important role. In WSNs, the sensors ...are usually operating in clusters, and they are allowed to restructure for effective communication over a large area and for a long time. In this scenario, load-balanced clustering is the cost-effective means of improving the system performance. Although clustering is a discrete problem, the computational intelligence techniques are more suitable for load balancing and minimizing energy consumption with different operating constraints. The literature reveals that the swarm intelligence-inspired computational approaches give excellent results among population-based meta-heuristic approaches because of their more remarkable exploration ability. Conversely, in this work, load-balanced clustering for sustainable WSNs is presented using improved gray wolf optimization (IGWO). In a smart city environment, the significant parameters of energy-efficient load-balanced clustering involve the network lifetime, dead cluster heads, dead gateways, dead sensor nodes, and energy consumption while ensuring information exchange and communication among the sensors and cluster heads. Therefore, based on the above parameters, the proposed IGWO is compared with the existing GWO and several other techniques. Moreover, the convergence characteristics of the proposed algorithm are demonstrated for an extensive network in a smart city environment, which consists of 500 sensors and 50 cluster heads deployed in an area of 500 × 500 m2, and it was found to be significantly improved.
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IZUM, KILJ, NUK, PILJ, PNG, SAZU, UL, UM, UPUK
ObjectivesEvaluation of remdesivir, an RNA polymerase inhibitor, for effectiveness in adults with COVID-19.Data sourcesElectronic search for eligible articles of PubMed, Cochrane Central and ...clinicaltrials.gov was performed on 20 September 2020.Participants and study eligibility criteriaOnly randomised controlled trials (RCTs) evaluating efficacy of remdesivir in COVID-19 were included for meta-analysis.InterventionsRemdesivir was compared with standard of care.Primary and secondary outcomesPrimary outcome was mortality and secondary outcomes were time to clinical improvement and safety outcomes like serious adverse events, respiratory failure.Study appraisal and synthesis methodsData synthesis was done with Cochrane review manager 5 (RevMan) V.5.3. Cochrane risk of bias V.2.0 tool was used for methodological quality assessment. The GRADE pro GDT was applied for overall quality of evidence.Results52 RCTs were screened and 4 studies were included in analysis, with total of 7324 patients. No mortality benefit was observed with remdesivir versus control group (OR=0.92 (95% CI 0.79 to 1.07), p=0.30, moderate quality evidence). Significantly higher rates of clinical improvement (OR=1.52 (95% CI 1.24 to 1.87), p<0.0001, low quality) and faster time to clinical improvement (HR=1.28 (95% CI 1.12 to 1.46), p=0.0002, very low quality) was observed with remdesivir versus control group. Significant decrease was found in the risk of serious adverse events (RR=0.75 (95% CI 0.62 to 0.90), p=0.0003, low quality); however, no difference was found in the risk of respiratory failure (RR=0.85 (95% CI 0.41 to 1.77), p=0.67, very low quality evidence) with remdesivir.ConclusionsAs per the evidence from current review, remdesivir has shown no mortality benefit (moderate quality evidence) in the treatment of COVID-19. From a cost–benefit perspective, it is our personal opinion that it should not be recommended for use, especially in low and lower middle income countries.Trial registration numberPROSPERO registration number: CRD42020189517.
Nanotechnology has proven its competence in almost all possible fields we are aware of. However, today nanotechnology has evolved in true sense by contributing to a very large extent to the food ...industry. With the growing number of mouths to feed, production of food is not adequate. It has to be preserved in order to reach to the masses on a global scale. Nanotechnology made the idea a reality by increasing the shelf life of different kinds of food materials. It is not an entirely full-proof measure; however it has brought down the extent of wastage of food due to microbial infestation. Not only fresh food but also healthier food is being designed with the help of nano-delivery systems which act as a carrier for the food supplements. There are regulations to follow however as several of them pose serious threats to the wellbeing of the population. In coming days, newer modes of safeguarding food are going to be developed with the help of nanotechnology. In this paper, an overview has been given of the different methods of food processing, packaging, and preservation techniques and the role nanotechnology plays in the food processing, packaging, and preservation industry.
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DOBA, FZAB, GIS, IJS, IZUM, KILJ, NLZOH, NUK, OILJ, PILJ, PNG, SAZU, SBCE, SBMB, SIK, UILJ, UKNU, UL, UM, UPUK, VSZLJ
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•Optimization using RSM for Cefazolin (CEZ) removal by Electrocoagulation (EC) process.•Pareto analysis was carried out to determine major factors affecting CEZ removal.•CEZ ...adsorption was a better fit to the pseudo 2nd order kinetic model with R2 > 0.999.•Langmuir isotherms show the best fit when compared with the Freundlich isotherm model.•Electrode and energy consumption and cost analysis of the EC process were also computed.
Pharmaceutical wastewaters presently remain as one of the primary roots of environmental pollution. The current study mainly concentrated on removing cefazolin (CEZ) from pharmaceutical wastewater employing the electrocoagulation (EC) process using iron electrodes. The EC experimental conditions were achieved by using response surface methodology (RSM) with an efficiency of 85.65% under optimal working conditions of pH = 8.0, current density (16 mA/cm2), initial CEZ concentration (25 mg/L), and inter-electrode distance (d = 1.0 cm) at an equilibrium electrolysis time of 40 min. The experimental results obtained were in good agreement with the predicted CEZ removal efficiency of 86.7%. Besides, Analysis of variance (ANOVA) revealed that the experimental model was best suited to a second-order polynomial equation, with an R2 value of 0.92. Moreover, the fisher's F-value of 13.67 and low probability value (p < 0.0001) suggest a decent correlation between the experimental and predicted CEZ elimination levels. Additionally, the kinetic adsorption and isotherm results indicated that the model follows pseudo-second-order kinetic adsorption with R2 = 0.999. The Langmuir isotherm with R2 = 0.9508 provides the best match when compared to the Freundlich model. Finally, the energy consumption, electrode dissolution, and operating cost per kg COD eliminated under optimal conditions were calculated to be 0.7395 kW h, 1.513 kg, and 0.89 USD, respectively.
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GEOZS, IJS, IMTLJ, IZUM, KILJ, KISLJ, NLZOH, NUK, OILJ, PILJ, PNG, SAZU, SBCE, SBJE, UILJ, UL, UM, UPCLJ, UPUK, ZAGLJ, ZRSKP
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