http://chineseinput.net/에서 pinyin(병음)방식으로 중국어를 변환할 수 있습니다.
변환된 중국어를 복사하여 사용하시면 됩니다.
Sahar M.A. Hassanein,Mohamed Hassan Nasr Eldin,Hanaa A. Amer,Adel E. Abdelhamid,Moustafa El-Houssinie,Abir Ibrahim 대한신경과학회 2017 Journal of Clinical Neurology Vol.13 No.1
Background and Purpose Neonatal hypoxic-ischemic encephalopathy (HIE) is one of the leading causes of neurological handicap in developing countries. Human umbilical cord blood (hUCB) CD34-positive (CD34+) stem cells exhibit the potential for neural repair. We tested the hypothesis that hUCB CD34+ stem cells and other cell types [leukocytes and nucleated red blood cells (NRBCs)] that are up-regulated during the acute stage of perinatal asphyxia (PA) could play a role in the early prediction of the occurrence, severity, and mortality of HIE. Methods This case-control pilot study investigated consecutive neonates exposed to PA. The hUCB CD34+ cell count in mononuclear layers was assayed using a flow cytometer. Twenty full-term neonates with PA and 25 healthy neonates were enrolled in the study. Results The absolute CD34+ cell count (p=0.02) and the relative CD34+ cell count (CD34+%) (p<0.001) in hUCB were higher in the HIE patients (n=20) than the healthy controls. The hUCB absolute CD34+ cell count (p=0.04), CD34+% (p<0.01), and Hobel risk scores (p=0.04) were higher in patients with moderate-to-severe HIE (n=9) than in those with mild HIE (n=11). The absolute CD34+ cell count was strongly correlated with CD34+% (p<0.001), Hobel risk score (p=0.04), total leukocyte count (TLC) (p<0.001), and NRBC count (p=0.01). CD34+% was correlated with TLC (p=0.02). Conclusions hUCB CD34+ cells can be used to predict the occurrence, severity, and mortality of neonatal HIE after PA.
Multi-Objective Optimal Operation with Demand Management and Voltage Stability
Masahiro Furukakoi,Mohammad Masih Sediqi,Shantanu Chakraborty,Mohamed A. Moustafa Hassan,Tomonobu Senjyu 제어로봇시스템학회 2017 제어로봇시스템학회 국제학술대회 논문집 Vol.2017 No.10
Due to the electric power liberalization, many power producers are entering into the deregulated power market. Most of the electrical power companies are introducing Renewable Energy Sources (RES), which will increase the power system uncertainty. Consequently, the underlyng uncertainty imposed by RES will increase the likelihood of voltage instability and voltage collapse. Also, fluctuations in supply and demand are increased by the introduction of renewable energies. On the other hand, Demand Response Program (DRP) is one of the potential solutions that reduces the power fluctuations. In this study, we proposed multi-objective optimal operation based Unit Commitment (UC) considering voltage stability and demand response. The effectiveness of the proposed method is verified by simulation results using the MATLAB.