Seawater desalination is vital to our modern civilization. Here, we report that the carbon honeycomb (CHC) has an outstanding water permeability and salt rejection in seawater desalination, as revealed by molecular dynamics simulations. More than 92% of ions are rejected CHC at applied pressures ranging from 50 250 MPa. a perfect below 150 Mpa. On increasing pressure up MPa, reduces only 92%. P...

In this paper, the removal of phenol by using aqueous solution in a low pressure reverse osmosis membrane was investigated. The effect of feed pressure, feed concentration, feed flow rate and feed pH on phenol rejection was investigated. The results showed that feed pH is the most affective parameter on the phenol rejection. Rejection of phenol increased with increasing pH from 2 to 10 under th...

dendritic cells (dcs) are a heterogeneous family of professional apcs involved in priming adaptive immune responses. donor dcs (direct pathway of allorecognition) and recipient dcs presenting processed donor major histocompatibility complex (mhc) as peptides (indirect pathway of allorecognition) participate actively in graft rejection by stimulating recipient t cell responses following organ tr...

conclusions patients’ experiences of stigma and rejection phenomena indicated that all aspects of their lives are affected. moreover, these findings highlight the significance of stigma and rejection concepts in providing better care to these patients. results after analysis of interviews, four themes were extracted: lack of social support, unrealistic and inappropriate labeling, rejection and ...

studies have shown that patients who do not produce donor specific and / or panel reactive anti-hla antibodies have a longer graft survival. the purpose of this study was to evaluate the posttransplant humoral immune response towards hla-class i antigens and the measurement of the serum creatinine levels which are used in monitoring posttransplant function of kidney. serum samples from 132 rena...

A deep-learning-based surrogate model capable of predicting flow and geomechanical responses in CO2 storage operations is presented applied. The 3D recurrent R-U-Net combines deep convolutional neural networks to capture the spatial distribution temporal evolution saturation pressure fields 2D surface displacement maps. method trained using high-fidelity simulation results for 2000 storage-aqui...