• Mcmahon Cunningham posted an update 6 hours, 48 minutes ago

    ur results suggest that temporal patterns are seen in patients with first-ever unprovoked seizures, including those that meet contemporary criteria for epilepsy. These results raise the possibility that first unprovoked seizures have intrinsic rhythmicity similar to epileptic seizures.

    Our results suggest that temporal patterns are seen in patients with first-ever unprovoked seizures, including those that meet contemporary criteria for epilepsy. These results raise the possibility that first unprovoked seizures have intrinsic rhythmicity similar to epileptic seizures.Avoiding valproate is recommended in women of childbearing age due to possible teratogenicity and infertility. We aimed to examine the recent trend of valproate prescriptions in Korea to review the adequacy of anticonvulsant prescriptions in women with epilepsy (WWE). Oral valproate utilization was assessed using nationwide and unselected data from the Korean National Health Insurance Service from 2009 to 2017. The temporal trends of the proportions of valproate prescriptions were analyzed using the Poisson regression model and expressed as average annual percentage change (AAPC). Among the WWE of childbearing age, valproate was prescribed in 37.0% overall and 29.4% as initial prescription in 2017. The proportion of valproate utilization showed a decreasing trend in overall prescription (AAPC = -1.10%) and initial prescription (AAPC = -2.63%). However, the proportion was static over time in the initial monotherapy group (AAPC = -0. 53%), while it was significantly decreasing in the initial polytherapy group (AAPC = -8.25%). A noticeable proportion of WWE was still being prescribed valproate in Korea. In particular, the use of valproate for initial monotherapy has not decreased over the past nine years. SH-4-54 supplier This result calls not only for reinforcement of education regarding anticonvulsant selection but also for monitoring the actual prescription.Lignocellulose is the primary component of many biomasses, including corn straw. Herein, lignocellulose in corn straw was disassembled into the individual polymers, cellulose, hemicellulose, and lignin via a mild and facile method. Subsequently, three porous carbon materials were prepared by carbonization and chemical activation of cellulose (PCCC), hemicellulose (PCHC), and lignin (PCLC). The three materials showed higher specific surface areas (2565.7, 2996.1, and 2590.3 m2 g-1) and higher porosities (1.4261, 1.5876, and 1.2406 cm3 g-1) than that of PCCS, a porous carbon material derived from raw corn straw (1993 m2 g-1 and 1.19 cm3 g-1). Of note, PCCC and PCHC exhibited higher adsorption (1025.5 and 950.1 mg g-1) of brilliant green (BG), than PCCS (876.7 mg g-1). Besides, the BG adsorption capacities of the designed materials were higher than that of most adsorbents, and 2-2.5 times higher than that of graphite oxide (416.7 mg g-1). These study results indicate that the disassembly of lignocellulosic biomass into cellulose, hemicellulose, and lignin is an effective strategy for preparing various porous carbon materials with enhanced performances.Zebrafish are widely used for detecting toxic agents because of their unique advantages. The conventional zebrafish-based tests use lethal rates and morphological changes as criteria to evaluate the toxicity. To increase the sensitivity of using zebrafish to detect toxic agents, a fluorescence resonance energy transfer-based apoptotic biosensor was introduced into zebrafish genome to generate transgenic sensor zebrafish. Seven chemicals including heavy metals, nanomaterials and DNA-damaging agents were used to treat the sensor zebrafish to determine the sensitivity of the sensor zebrafish. The results showed that sensor zebrafish can detect the toxicity of the tested agents with single-cell sensitivity. Using the sensor zebrafish, we found that, at 100 nM, heavy metal cadmium (Cd) induced apoptosis of zebrafish cells, while no obvious morphological or behavioral changes were observed from the sensor zebrafish. Even at 44.5 nM (the maximum allowable concentration in drinking water), Cd induced a significant increase of apoptosis in sensor zebrafish. ZnO nanoparticles caused apoptosis in sensor zebrafish at a very low concentration of 100 ng/mL. DNA-damaging agents induced the apoptosis of many cells in sensor zebrafish. The sensor zebrafish are much more sensitive than the conventional zebrafish-based tests and can serve as a powerful tool for detecting toxic agents.A laboratory-scale horizontal subsurface flow constructed wetland system was used to quantify the arsenic removal capacity in the treatment of highly acidic, arsenic and metal-rich water pH ≈ 2, Fe ≈ 57 mg/L, Pb ≈ 0.9 mg/L, Zn ≈ 12 mg/L. The system was operated in two stages, being As ≈ 2.1 mg/L in stage one, and ≈ 3.7 mg/L in stage 2. Limestone and zeolite were employed as main supporting media to build non-vegetated and vegetated cells with Phragmites australis. The system was very effective in the removal of arsenic and iron (> 96%), and lead (> 94%) throughout the whole experimental period, having the four treatment types a similar performance. The main effect of the media type was on the pH adjustment capacity limestone cells were able to raise the pH to ≈ 7.1, whereas zeolite cells raised it to ≈ 3.8. The contribution of plant uptake to the overall removal of As, Fe and Zn was minor; accounting for less than 0.02%, 0.07% and 0.7% respectively. As such, pollutants were mainly retained in the wetland beds. Our results suggest that limestone is recommended over zeolite as wetland medium mainly due to its neutralization capacity.We report the nanoconfinement-mediated graphitic nanoporous carbon nitride (gNPCN) adsorbents with a high content of inbuilt basic nitrogen (N) (48%) by X-ray photoelectron spectroscopy (XPS) for efficient CO2 adsorption. The gNPCNs (gNPCN-150 and gNPCN-130) are synthesized using the mesoporous SBA-15 silica template and a single carbon-nitrogen (C-N) precursor (guanidine hydrochloride). The various adsorbents were utilized for investigating the influence of pore size (PS), surface area (SA), and type of adsorbent for CO2 adsorption performance. The capacity for CO2 capturing of gNPCN-150 reached 23.1 mmol/g at 0 °C under 30 bar pressure. This CO2 capturing capacity value was higher than the capacity gNPCN-130, SBA15, activated carbon (AC), and multiwalled carbon nanotube (MWCN) under identical conditions. The gNPCN materials exhibited superior CO2 adsorption ability that is ascribed to the presence of the highly organized mesoporosity, inbuilt high content of basic N site for adsorbing more CO2 through acid-base interaction, and tunable surface-structural properties.