Establishment and Evaluation of a Simplified Evaluation System of Acute Respiratory Distress Syndrome

Shubiao Lu,Shaoxi Cai,Chunquan Ou,Haijin Zhao 연세대학교의과대학 2013 Yonsei medical journal Vol.54 No.4

Purpose: In recent years, a variety of acute respiratory distress syndrome (ARDS) evaluation systems have been developed worldwide; however, they are not so convenient for the doctors clinically, we decided to establish and evaluate a simplified evaluation system of ARDS (SESARDS). Materials and Methods: Data from 140 ARDS patients (derivation data set) were collected to screen for prognostic factors affecting outcomes in ARDS patients. By logistic regression analysis, scores were allocated to corresponding intervals of the variables, respectively, by means of analysis of the frequency distribution to establish a preliminary scoring system. Based on this primary scoring system, a definitive evaluation scheme was created through consultation with a panel of experts. The scores for the validation data set (92 cases) were assigned and calculated by their predictive mortality with the SESARDS and acute physiology and chronic health evaluation II (APACHE II). The performance of SESARDS was compared with that of APACHE II by means of statistical analysis. Results: The factors of age, pH, Glasgow coma scale (GCS), oxygenation index (OI), and the lobes of lung were associated with prognosis of ARDS respectively. The sensitivity and specificity of SESARDS for the validation data set were 96.43% and 58.33%, respectively. On the AUC, no significant difference between APACHE II and SESARDS was detected. There were no significant differences between the prediction and the actuality obtained by SESARDS for the validation data set the SESARDS scores were positively correlated with the actual mortality. Conclusion: SESARDS was shown to be simple, accurate and effective in predicting ARDS progression.

Growth and physiological responses of broiler chickens to diets containing raw, full-fat soybean and supplemented with a high-impact microbial protease

Erdaw, Mammo M.,Wu, Shubiao,Iji, Paul A. Asian Australasian Association of Animal Productio 2017 Animal Bioscience Vol.30 No.9

Objective: This study evaluated the change and function of the pancreas, and small intestine in relation to growth performance of broilers on diets supplemented with raw soybean meal (RSBM) and protease. Samples of test ingredients and diets, after mixing and prior to being used were also assessed on contents of anti-nutritional factors. Methods: A $3{\times}3$ factorial study was used, with three levels of RSBM (commercial soybean meal [SBM] was replaced by RSBM at 0, 10%, or 20%) and protease (0.1, 0.2, or 0.3 g/kg). Each treatment was replicated six times with nine birds per replicate. Birds were housed in cages, in climate-controlled room and fed starter, grower and finisher diets. Results: Levels of trypsin inhibitors in the diets, containing varying levels of RSBM ranged between 1,730.5 and 9,913.2 trypsin inhibitor units/g DM. Neither RSBM nor protease supplementation in diets significantly affected (p>0.05) the body weight of broilers in the entire periods (0 to 35-d). Increasing the level of RSBM in diets increased the weight of the pancreas at d 10 (p<0.000), d 24 (p<0.001), and d 35 (p<0.05). Increasing levels of RSBM in the diets reduced the apparent ileal digestibility of crude protein (CP), and amino acid (AA) at d 24. Increasing level of RSBM in the diets decreased (p<0.01) pancreatic protein content, but this was increased (p<0.05) when protease was added to the diets (0 to 10-d). Increasing the level of protease improved the pancreatic digestive enzymes, including trypsin (p<0.05), chymotrypsin (p<0.01), and general proteolytic enzymes (p<0.05). Conclusion: The commercial SBM could be replaced at up to 20% by RSBM for broilers. Although protease supplementation slightly improved the digestive enzymes, and the ileal digestibilities of CP and AA, the CP and AA were negatively affected by increasing RSBM.

Dual-model Predictive Direct Power Control for Grid-connected Three-level Converter Systems

Hu, Bihua,Kang, Longyun,Feng, Teng,Wang, Shubiao,Cheng, Jiancai,Zhang, Zhi The Korean Institute of Power Electronics 2018 JOURNAL OF POWER ELECTRONICS Vol.18 No.5

Many researchers devote themselves to develop model-predictive direct power control (MPDPC) so as to accelerate the response speed of the grid-connected systems, but they are troubled its large computing amount. On the basis of MPDPC, dual MPDPC (DMPDPC) is presented in this paper. The proposed algorithm divides the conventional MPDPC into two steps. In the first step, the optimal sector is obtained, which contains the optimal switching state in three-level converters. In the second step, the optimal switching state in the selected sector is searched to trace reference active and reactive power and balance neutral point voltage. Simulation and experiment results show that the proposed algorithm not only decreases the computational amount remarkably but also improves the steady-state performance. The dynamic response of the DMPDPC is as fast as that of the MPDPC.

Dual-model Predictive Direct Power Control for Grid-connected Three-level Converter Systems

Bihua Hu,Longyun Kang,Teng Feng,Shubiao Wang,Jiancai Cheng,Zhi Zhang 전력전자학회 2018 JOURNAL OF POWER ELECTRONICS Vol.18 No.5

Many researchers devote themselves to develop model-predictive direct power control (MPDPC) so as to accelerate the response speed of the grid-connected systems, but they are troubled its large computing amount. On the basis of MPDPC, dual MPDPC (DMPDPC) is presented in this paper. The proposed algorithm divides the conventional MPDPC into two steps. In the first step, the optimal sector is obtained, which contains the optimal switching state in three-level converters. In the second step, the optimal switching state in the selected sector is searched to trace reference active and reactive power and balance neutral point voltage. Simulation and experiment results show that the proposed algorithm not only decreases the computational amount remarkably but also improves the steady-state performance. The dynamic response of the DMPDPC is as fast as that of the MPDPC.

Covalent Immobilization of Arginine onto Polyacrylonitrile-Based Membrane for the Effective Separation of Oil/Water Emulsion

Xiang Shen,Peng Liu,Jiao Xu,Teng Liu,Jianjun Liu,Xianfu Shen,Shubiao Xia,Fan Wang 한국고분자학회 2018 Macromolecular Research Vol.26 No.13

Membrane technology has been accepted as a very effective approach to purify oily wastewater. However, the serious membrane fouling induced by the adsorption of oily foulants significantly hinders the development of membrane technology in treating oily wastewater. To improve the anti-fouling property and oil/ water separation efficiency of membrane, this work reports on the covalent immobilization of short-chain arginine (Arg) molecules onto polyacrylonitrile/polyacrylonitrile- co-poly(glycidyl methacrylate) (PAN/PAN-co-PGMA) blend membrane surface via a ring-opening reaction between epoxy groups and amine groups. It was found that the covalent immobilization of Arg molecules effectively increased the surface hydrophilicity of the membrane, resulting in a significant decrease of the interaction force between the foulants and the membrane surface. This typical characteristic was revealed by the pure water contact angle and the force-extension curve measurements. The Arg-immobilized membranes exhibited much higher separation efficiency against oil/water emulsions than the pristine PAN and PAN/PAN-co-PGMA membranes. Especially when the grafting amount of Arg was 157.3 μg/cm2, the oil rejection ratio of an Arg-immobilized membrane was as high as 99.2%. In addition, the flux recovery ratio of the membrane still reached 88.8%, even after two cycle filtrations of pure water and oil/water emulsion. These results indicated that the Arg-immobilized membrane may have practical applications for oil/water emulsion separation.