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Amir Dashti,Farshid Zargari,Hossein Riasat Harami,Amir H. Mohammadi,Zahra Nikfarjam 한국화학공학회 2019 Korean Journal of Chemical Engineering Vol.36 No.10
Predicting the solubility of acid gases in ionic liquids (ILs), has lately appeared as advantageous for natural gas purifying, which is equipped by powerful models considering technical and economic aspects. Important issue in the assessment of ILs for potential utilization in gas sweetening process is estimating the H2S solubility at various temperatures and pressures Experimental measurements are costly and take considerable time and effort. As a result, proposing methods for predicting the behavior of this system over a wide range of conditions is vital. In this regard, molecular dynamics simulation (MD) technique as well as artificial intelligence knowledge of hybrid genetic algorithmadaptive neuro fuzzy inference system (GA-ANFIS) and an empirical polynomial regression (PR) model were employed to estimate the solubility of H2S in [bmim][PF6] IL. Pressure and temperature are considered as the independent input variables and H2S solubility as the dependent output variable. The results of this study reveal that the simple fourthorder PR model and GA-ANFIS have the highest accuracy. As a result of the simplicity and accuracy of PR model, it can be used without any prior knowledge about MD and artificial intelligence (AI). According to the accuracy and precision of model proved by the obtained result, the solubility of H2S in ILs has been estimated. The results show that the PR method is more trustworthy than other models.
( El Enshasy H. ),( Y. Abdel Fattah ),( A. Atta ),( H. Omar ),( S. Abou El Magd ),( R. Abou Zahra ),( M. Anwar ) 한국미생물 · 생명공학회 2008 Journal of microbiology and biotechnology Vol.18 No.1
The kinetics of cell growth and Cyclosporin A (Cyc A) production by Tolypocladium inflatum were studied in shake flasks and bioreactors under controlled and uncontrolled pH conditions. In the case of the shake flask, the production time was extended to 226 h and the maximal antibiotic concentration was 76 mg/l. When scaling up the cultivation process to a bioreactor level, the production time was reduced to only 70 h with a significant increase in both the cell growth and the antibiotic production. The maximal dry cell weights in the case of the controlled pH and uncontrolled pH cultures in the bioreactor were 22.4 g/l and 14.2 g/l, respectively. The corresponding maximal dry cell weight values did not exceed 7.25 g/l with the shake flask cultures. The maximal values for Cyc A production were 144.72 and 131.4 mg/l for the controlled and uncontrolled pH cultures, respectively. It is also worth noting that a significant reduction was observed in both the dry cell mass and the antibiotic concentration after the Cyc A production phase, whereas the highest rate of antibiotic degradation was observed in the stirred tank bioreactor with an uncontrolled pH. Morphological characterization of the micromorphological cell growth (mycelial/pellet forms) was also performed during cultivation in the bioreactor.
Zahra Sharifalhoseini,Mohammad H. Entezari,Ali Davoodi,Mohsen Shahidi 한국공업화학회 2020 Journal of Industrial and Engineering Chemistry Vol.83 No.-
The synergistic effect of ZnO and GO nanostructures on the surface modification of mild steel before theacrylic resin coating was studied. Firstly, the steel surface was pretreated in the presence of ultrasonicirradiation, and then ZnO nanostructures were synthesized by the cyclic voltammetry technique. GOnanosheets prepared by the modified hummer’s method were deposited on ZnO-containing surfaces usingtheelectrophoreticdeposition(EPD)technique.GOcoatingswiththicknessesof2.84,4.47and9.42mmwereobtained by varying the EPD time, and the 4.47 mm was found as the optimum value for the fabrication ofhybrid ZnO/GO structures. All samples were then covered with a thin layer of acrylic resin (10 mm) by thespin coating technique. The results indicated that the sample with underneath of hybrid ZnO/GOnanostructures shows significant improvement in anti-corrosion performance. In other words, Rp isincreased from 150,000 V cm2 (in the rein coated sample) to 380,000 V cm2 (in the sample with hybridnanostructures). The resulting surface has the potential to use as protective and glossy black coatings. Theroleof underneathnature,surface roughness, and molecular interactionsbetweenoxygenfunctionalgroupsof ZnO, GO, resin, and the metal in the enhanced corrosion protection was illustrated.
Natheer H Al-Rawi,Asmaa T Uthman,Elaf Abdulhameed,Ahmed S Al Nuaimi,Zahra Seraj 대한영상치의학회 2019 Imaging Science in Dentistry Vol.49 No.1
Purpose: To determine the prevalence of concha bullosa (CB) and nasal septal deviation (NSD) and their impact on maxillary sinus volume (MSV). Materials and Methods: Cone-beam computed tomographic (CBCT) images of 106 Emirati people were used in this study. The direction and angle of septal deviation were calculated. The presence of CB, which could be unilateral, contralateral, or bilateral in relation to the direction of NSD, was also recorded. MSV was measured using reconstructed Digital Imaging and Communication in Medicine images on Dolphin 3D imaging software version 11.8 premium (Dolphin Imaging, Chatsworth, CA, USA). P values<0.05 were considered to indicate statistical significance. Results: CB was detected in 37.7% of the sample; 20.7% of the sample showed single unilateral CB and 16.6% had single bilateral CB. NSD was seen in 74.5% of the sample. In the participants with CB, 45.5% showed mild deviation, 34.4% showed moderate deviation, and only 12.5% showed severe septal deviation. CB, but not NSD, was associated with significantly higher MSV on the affected side (P=0.001). Conclusion: Although NSD was observed in more than two-thirds of the sample and CB was present in more than one-third of the sample, only CB had a significant impact on MSV. (
An Efficient Scheduling Method for Grid Systems Based on a Hierarchical Stochastic Petri Net
Mohammad Shojafar,Zahra Pooranian,Jemal H. Abawajy,Mohammad Reza Meybodi 한국정보과학회 2013 Journal of Computing Science and Engineering Vol.7 No.1
This paper addresses the problem of resource scheduling in a grid computing environment. One of the main goals of grid computing is to share system resources among geographically dispersed users, and schedule resource requests in an efficient manner. Grid computing resources are distributed, heterogeneous, dynamic, and autonomous, which makes resource scheduling a complex problem. This paper proposes a new approach to resource scheduling in grid computing environments, the hierarchical stochastic Petri net (HSPN). The HSPN optimizes grid resource sharing, by categorizing resource requests in three layers, where each layer has special functions for receiving subtasks from, and delivering data to, the layer above or below. We compare the HSPN performance with the Min-min and Max-min resource scheduling algorithms. Our results show that the HSPN performs better than Max-min, but slightly underperforms Min-min.
An Efficient Scheduling Method for Grid Systems Based on a Hierarchical Stochastic Petri Net
Shojafar, Mohammad,Pooranian, Zahra,Abawajy, Jemal H.,Meybodi, Mohammad Reza Korean Institute of Information Scientists and Eng 2013 Journal of Computing Science and Engineering Vol.7 No.1
This paper addresses the problem of resource scheduling in a grid computing environment. One of the main goals of grid computing is to share system resources among geographically dispersed users, and schedule resource requests in an efficient manner. Grid computing resources are distributed, heterogeneous, dynamic, and autonomous, which makes resource scheduling a complex problem. This paper proposes a new approach to resource scheduling in grid computing environments, the hierarchical stochastic Petri net (HSPN). The HSPN optimizes grid resource sharing, by categorizing resource requests in three layers, where each layer has special functions for receiving subtasks from, and delivering data to, the layer above or below. We compare the HSPN performance with the Min-min and Max-min resource scheduling algorithms. Our results show that the HSPN performs better than Max-min, but slightly underperforms Min-min.
Al-Rawi, Natheer H,Uthman, Asmaa T,Abdulhameed, Elaf,Al Nuaimi, Ahmed S,Seraj, Zahra Korean Academy of Oral and Maxillofacial Radiology 2019 Imaging Science in Dentistry Vol.49 No.1
Purpose: To determine the prevalence of concha bullosa (CB) and nasal septal deviation (NSD) and their impact on maxillary sinus volume (MSV). Materials and Methods: Cone-beam computed tomographic (CBCT) images of 106 Emirati people were used in this study. The direction and angle of septal deviation were calculated. The presence of CB, which could be unilateral, contralateral, or bilateral in relation to the direction of NSD, was also recorded. MSV was measured using reconstructed Digital Imaging and Communication in Medicine images on Dolphin 3D imaging software version 11.8 premium (Dolphin Imaging, Chatsworth, CA, USA). P values<0.05 were considered to indicate statistical significance. Results: CB was detected in 37.7% of the sample; 20.7% of the sample showed single unilateral CB and 16.6% had single bilateral CB. NSD was seen in 74.5% of the sample. In the participants with CB, 45.5% showed mild deviation, 34.4% showed moderate deviation, and only 12.5% showed severe septal deviation. CB, but not NSD, was associated with significantly higher MSV on the affected side (P=0.001). Conclusion: Although NSD was observed in more than two-thirds of the sample and CB was present in more than one-third of the sample, only CB had a significant impact on MSV.