Hayesbank8445

This work aimed to study an newly isolated microalgal strain, Chlamydomonas sp. QWY37, that can achieve a maximum carbohydrate production of 944 mg/L·d, along with high pollutant removal efficiencies (chemical oxygen demand 81%, total nitrogen 96%, total phosphate nearly 100%) by optimizing culture conditions and using an appropriate operation strategy. Through a cell-displayed technology that utilizes combined engineered system, a maximum microalgal bioethanol yield of 61 g/L was achieved. This is the first report demonstrating the highest microalgal carbohydrate productivity using swine wastewater without any pretreatments associated with direct high-density bioethanol production from the subsequent microalgal biomass. This work may represent a breakthrough in achieving feasible microalgal bioethanol conversion from real swine wastewater. BACKGROUND Associations between polymorphisms in interleukins and breast cancer (BC) were already investigated by many studies, yet with controversial findings. The aim of this meta-analysis was to better clarify associations between polymorphisms in interleukins and BC by combing the results of all relevant articles. METHODS Eligible articles were searched from Pubmed, Embase, Web of Science and CNKI. We used Review Manager to combine the results of eligible studies. RESULTS Fifty-seven studies were included in this meta-analysis. We found that IL-6 rs1800796 (dominant comparison OR = 0.70, 95% CI 0.53-0.92), IL-8 rs4073 (dominant comparison OR = 0.74, 95% CI 0.61-0.89; over-dominant comparison OR = 1.16, 95% CI 1.05-1.29; allele comparison OR = 0.82, 95% CI 0.69-0.89), IL-10 rs1800896 (recessive comparison OR = 1.28, 95% CI 1.12-1.47) and IL-18 rs1946518 (dominant comparison OR = 0.80, 95% CI 0.65-0.97; allele comparison OR = 0.74, 95% CI 0.59-0.93) polymorphisms were all significantly associated with BC in overall combined analyses. In subgroup analyses, we noticed that IL-6 rs1800796, IL-8 rs4073, IL-10 rs1800896, IL-18 rs1946518 and rs187238 polymorphisms were all significantly associated with susceptibility to BC in East Asians from China. Y27632 CONCLUSIONS Collectively, this meta-analysis demonstrated that IL-6 rs1800796, IL-8 rs4073, IL-10 rs1800896, IL-18 rs1946518 and rs187238 polymorphisms may confer susceptibility to BC for East Asians from China. The extreme variability of the folding pattern of the human cortex makes the recognition of cortical sulci, both automatic and manual, particularly challenging. Reliable identification of the human cortical sulci in its entirety, is extremely difficult and is practiced by only a few experts. Moreover, these sulci correspond to more than a hundred different structures, which makes manual labeling long and fastidious and therefore limits access to large labeled databases to train machine learning. Here, we seek to improve the current model proposed in the Morphologist toolbox, a widely used sulcus recognition toolbox included in the BrainVISA package. Two novel approaches are proposed patch-based multi-atlas segmentation (MAS) techniques and convolutional neural network (CNN)-based approaches. Both are currently applied for anatomical segmentations because they embed much better representations of inter-subject variability than approaches based on a single template atlas. However, these methods typically focus on voxel-wise labeling, disregarding certain geometrical and topological properties of interest for sulcus morphometry. Therefore, we propose to refine these approaches with domain specific bottom-up geometric constraints provided by the Morphologist toolbox. These constraints are utilized to provide a single sulcus label to each topologically elementary fold, the building blocks of the pattern recognition problem. To eliminate the shortcomings associated with the Morphologist's pre-segmentation into elementary folds, we complement this regularization scheme using a top-down perspective which triggers an additional cleavage of the elementary folds when required. All the newly proposed models outperform the current Morphologist model, the most efficient being a CNN U-Net-based approach which carries out sulcus recognition within a few seconds. V.One new pyridine-3,4-dicarboxylhydrazidate-coordinated compound [Zn(pdh)] 1 (pdh = pyridine-3,4-dicarboxylhydrazidate) was obtained under the hydrothermal conditions. Noteworthily, the pdh molecules in the title compound originated from the ligand in situ reaction between organic pyridine-3,4-dicarboxylic acid (pdca) and N2H4·H2O. X-ray single-crystal diffraction analysis revealed that the pdh ligands exhibit a special μ4-bridging mode in compound 1, which link Zn(II) centers into a 2D layered structure. The photocatalysis analysis indicates that it is a potential visible light catalyst. In addition, the solid photoluminescence property of compound 1 was also investigated. The heterogeneous reactions of sea salt single droplets with the mixture of O3 and SO2 were studied in real time using microscopic Fourier transform infrared (micro-FTIR) spectrometer. Chemical conversion of SO2 to sulfate and consumption of gaseous HCl occur on the surface of droplets in the presence of O3. The sulfate formation rate and the uptake coefficient are obtained by quantitatively estimating the changes in absorbance area of the sulfate stretching band. In order to further establish a mechanistic framework, we observed the reaction kinetics versus ambient relative humidities (RHs) and droplet sizes. In the view of RH effect, sulfate formation rates are enhanced by about a factor of two on the MgCl2 and ZnCl2 single droplets with increasing RH ranges. High RH is favorable for the sulfate formation because water vapor can trap and activate more gas molecules on the interface of the single droplet. The values of uptake coefficient increase slightly with an increase in single droplet size for the two reaction systems, indicating that the effect of surface adsorption dominates the reactions. Considering the existence of combined pollution with high concentrations of trace gases and sea salt aerosols, as expected in coastal regions, the formation micro-mechanism of sulfate revealed in this work should be incorporated into air quality models to improve the prediction of sulfate concentrations.