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Cytokine storm is the most prominent hallmark in patients with coronavirus disease 2019 (COVID-19) that stimulates the free radical storm, both of which induce an overactive immune response during viral infection. We hypothesized that owning to its radical-scavenging and anti-inflammatory properties, Edaravone could reduce multi-organ injury, clinical complications, and mortality in severe COVID-19 cases. This single-center randomized clinical trial was accompanied in the intensive care units (ICUs) of the teaching hospital of Tabriz University of Medical Sciences to evaluate the effect of Edaravone on the outcome of patients with severe COVID-19. Thirty-eight patients admitted to ICU were included and randomized into two control and intervention arms. Patients in the intervention group received 30 mg Edaravone by slow intravenous infusion for three days in addition to receiving national therapy. The primary outcome was the need for intubation, the intubation length, and mortality rate. Secondary endpoints were clinical improvement. Edaravone administration improved the primary outcomes; it decreased the need for endotracheal intubation and mechanical ventilation [10.52% (n = 2) versus 42.1% (n = 8); p = 0.03] and intubation length [3 (1-7) versus 28 (4-28), p = 0.04] compared to control group. Baseline characteristics and laboratory tests were similar between the studied groups. No marked differences were observed in secondary endpoints (p 0.05). Administration of Edaravone could decrease the need for mechanical ventilation and length of intubation in severe COVID-19 patients admitted to ICU.

Sunitinib-induced thrombotic microangiopathy (TMA) is a secondary TMA caused by Sunitinib.Despite the extensive use of the drug ,little is known about this complication of Sunitinib. In this study, we reported a 63 years old male with Sunitinib induced TMA treated for metastatic renal cell carcinoma.

Systemic lupus erythematosus (SLE) is an autoimmune disease and may be associated with many autoimmune conditions. hypoparathyroidism as an initial presentation of SLE is still a rare condition. In this study, we reported a young woman who presented the sign and symptoms of hypoparathyroidism.

Lung cancer represents a significant global health issue and is among the central causes of mortality and morbidity around the world. Unfortunately, the majority of lung cancer patients acquire drug resistant to chemotherapy either intrinsically or acquired after Cisplatin treatment. It is indicated that increasing or decreasing the expression of particular genes can affect chemotherapeutic sensitivity or resistance. As a result, gaining a deeper knowledge of the changed expression of genes implicated in lung cancer drug resistance, as well as developing novel therapeutic techniques, are critical targets for continued advancement in lung cancer treatment. In the present study, we aimed to find key regulatory genes in the progression of Cisplatin resistance in A-549 lung cancer cells. In this regard, microarray dataset of Cisplatin-resistant and Cisplatin-sensitive was retrieved from the Gene Expression Omnibus (GEO) with accession number of GSE108214. Then, differentially expressed genes (DEGs) between sensitive and resistant lung cancer cells were obtained by using R software v4.0.2 and related packages. We recognized CEACAM1, DGKA, ARHGEF4, and THSD4 are involved in the drug resistance. Experimentally, Cisplatin-resistant A-549 cells were developed and analyzed by MTT assay. Besides, the expression of candidate genes were analyzed in these cells compared to Cisplatin-sensitive A-549 cells by qRT-PCR. The findings presented that the expression of CEACAM1, DGKA, ARHGEF4, and THSD4 was altered following the induction of Cisplatin resistance in A549 cells.

More attention of the medical staff to this sign can lead to faster diagnosis and timely treatment of patients.

Thromboembolic events have been reported in hospitalized patient since beginning of the covid 19 pandemic. This study reports an ICU admitted patient with lower extremity arterial thrombosis diagnosed with covid 19.

Vaccination against covid 19 have been launched by many countries. Since then, viral infection after vaccination have been reported. Herpes virus reactivation has been reported following vaccinations. This study reports a case of recurrent Herpes Simplex Virus (HSV) after chadox1 ncov-19 (azd1222) vaccine in a 28 years old man

KMnO4 oxidation combined with polyelectrolyte (K530CF) flocculation was investigated to mitigate membrane fouling in a membrane bioreactor. The optimum dosages of chemical additives in order to enhance the removal of soluble microbial products (SMPs) were determined. This method was able to reduce the concentration of COD in the effluent to 57.1% and 51.1% lower than those in the experiments in the absence of chemical flocculants and in the presence of polyelectrolyte, respectively. NH3-N removal was improved by combining KMnO4 and K530CF. When KMnO4 was used along with polyelectrolyte, the zeta potential was neutralized to a greater extent which resulted in an improvement in the flocculation process which subsequently increased the size of the flocs. It was also observed that the SMP of the mixed liquor decreased through entrapment into formed flocs and adsorption by manganese dioxide particles. Increase of the particle size and reduction of the SMP compounds together lead to the reduction of the cake layer resistance. When compared to the experiments in the absence of chemical additives and with polyelectrolyte, KMnO4 in conjunction with polyelectrolyte increased the membrane operating time by about 4 and 2.7 times, respectively. These findings confirmed that KMnO4 along with polyelectrolyte significantly reduced membrane fouling.

Due to advancements in instrumentation and communication technologies, monitoring of water infrastructure is experiencing a significant growth worldwide and water managers are increasingly deploying monitoring equipment for decision-making purposes. Hydrological events and relevant datasets including rainfall data are of a complex nature and are potentially susceptible to errors from various sources. Hence, it is essential to develop efficient methods for the quality control of the acquired data. The present work introduces an artificial neural network-based approach for real-time quality control and infilling of rain gauge data. Available rainfall measurements from neighboring rain gauges are employed to train and develop the neural network model. Trained artificial neural network model was able to validate up to about 97% of the data using 95% confidence intervals. This finding suggests that artificial neural networks can be successfully implemented for erroneous data identification/correction and reconstruction of missing data points. Given its short processing time and reportedly superior performance to traditional quality control strategies, neural network methodology can be deployed as an efficient tool for the processing and control of large sets of timeseries with complex natures including precipitation data.

The effect of pH, inlet ozone injection rate, initial bromide concentration, membrane coating, hydroxyl radical scavenger, and membrane molecular weight cut off (MWCO) on the formation of bromate in a hybrid membrane filtration–ozonation reactor treating water containing bromide and natural organic matter (NOM) was studied. Variations in the TOC, UV 254 , SUVA (specific UV absorbance), color and turbidity of water as a function of these parameters were investigated. Bromate formation increased with increasing inlet gaseous ozone injection rate, and initial bromide concentration. The extent of bromate formation decreased with decreasing pH, with increasing TOC concentration, and in the presence of tertiary butyl alcohol ( t -BuOH), an OH radical scavenger. The bromate concentrations that were observed with the Mn oxide coated membrane were less than that formed with the TiO 2 membrane. An increase in the bromate concentration was observed with decreasing MWCO of the filtration membrane. Consistent with earlier work, experimental results indicated that ozonation can be used to mitigate membrane fouling. If dissolved ozone is present in the system, continuous operation of the hybrid ozonation–membrane filtration system at a permeate flux comparable to the clean water permeate flux can be achieved. An empirical model was developed using multiple linear regression method to estimate bromate formation in the system as a function of bromide concentration, dissolved organic carbon (DOC) concentration, inlet ozone injection rate, pH, and reaction time. Good correlation was achieved between the model predictions and the experimental data. According to the model, bromate formation was favored as bromide concentration, ozone injection rate, and pH increased. However, an increase in DOC concentration reduced bromate formation.

The effect of the nature of the membrane surface, the presence of hydroxyl radical scavengers, and temperature, on bromate formation in a hybrid ozonation membrane filtration reactor was studied. The presence of tertiary butyl alcohol, a hydroxyl radical scavenger, suppressed the indirect bromate formation pathway and less bromate was formed. Bromate formation was less with the Mn oxide coated membrane than when using the uncoated TiO2 membrane. As the temperature was increased, bromate formation was enhanced, which was attributed to faster reaction rates. An empirical model was developed to predict bromate formation in a hybrid ozone-ceramic membrane filtration system. The model takes into account the effects of important experimental variables including initial bromide concentration, inlet ozone injection mass rate, pH, temperature, and reaction time. The coefficients in the model were determined using multiple linear regression with logarithmic transformations. The model indicated that bromate formation was favored at high bromide concentration, ozone dose, pH, and temperature. Good correlation was achieved between the model predictions and the experimental data.

Effects of pH and the addition of calcium chloride (CaCl(2)) on bromate (BrO(3) (-)) and bromide (Br(-)) rejection by a ceramic membrane were investigated. Rejection of both ions increased with pH. At pH 8, the rejection of BrO(3) (-) and Br(-) was 68% and 63%, respectively. Donnan exclusion appears to play an important role in determining rejection of BrO(3) (-) and Br(-). In the presence of CaCl(2), rejection of BrO(3) (-) and Br(-) ions was greatly reduced, confirming the importance of electrostatic interactions in determining rejection of BrO(3) (-) and Br(-). The effect of Ca(2+) is so pronounced that in most natural waters, rejection of both BrO(3) (-) and Br(-) by the membrane would be extremely small.

The effect of pH, ozone mass injection rate, initial bromide concentration, and membrane molecular weight cut off (MWCO) on bromate formation in a hybrid membrane filtration-ozonation reactor was studied. Decreasing the pH, significantly reduced bromate formation. Bromate formation increased with increasing gaseous ozone mass injection rate, due to increase in dissolved ozone concentrations. Greater initial bromide concentrations resulted in higher bromate concentrations. An increase in the bromate concentration was observed by reducing MWCO, which resulted in a concomitant increase in the retention time in the system. A model to estimate the rate of bromate formation was developed. Good correlation between the model simulation and the experimental data was achieved.

The effects of water flow rate, mixing, gaseous ozone concentration, inlet gas flow rate, temperature, and pH on ozone hydrodynamics at high pressure were studied. Varying the cross flow rate had only a slight influence on the ozone mass transfer rates, indicating that sufficient mixing in the reactor was attained at the low flow rates used. The addition of an inline static mixer had a negligible effect on aqueous ozone concentrations in the reactor, suggesting that mixing was sufficient without the mixer. The ozone mass transfer increased with increasing gaseous ozone concentration and with the inlet gas flow rate. The dissolved ozone concentration decreased with increasing pH due to the greater rate of ozone decomposition at higher pH. Increasing the temperature resulted in a decrease in the ozone mass transfer. A model to describe the ozone mass transfer was developed. Good agreement between the model predictions and the experimental data was achieved.