http://chineseinput.net/에서 pinyin(병음)방식으로 중국어를 변환할 수 있습니다.
변환된 중국어를 복사하여 사용하시면 됩니다.
High Efficiency Transformation by Electroporation of Yarrowia lipolytica
Jia-Hung Wang,Wenpin Hung,Shu-Hsien Tsai 한국미생물학회 2011 The journal of microbiology Vol.49 No.3
Yarrowia lipolytica was usually transformed by heat shock, but linearized integrative vectors always resulted in a low transformation efficiency when electroporation was used. To develop a high efficiency integrative transformation method by electroporation of Y. lipolytica, we report here that pretreatment of Y. lipolytica with 150 mM LiAc for 1 h before electroporation will approximately 30-fold of increase transformation efficiency. A cell concentration of 1010/ml and instrument settings of 1.5 kV will generate the highest transformation efficiencies. We have developed a procedure to transform Y. lipolytica that will be able to yield an efficiency of 2.1×104 transformants/μg for integrative linear DNA. With our modifications, the electroporation procedures became a very efficient and reliable tool for Y. lipolytica transformation.
Bamboo Charcoal/Quick-Dry/Metallic Elastic Knits: Manufacturing Techniques and Property Evaluations
Jia-Horng Lin,Chih Hung He,Mong-Chuan Lee,Yueh-Sheng Chen,Ching-Wen Lou 한국섬유공학회 2019 Fibers and polymers Vol.20 No.7
Protective clothing with electromagnetic shielding effectiveness (EMSE) is a functional textile, which shieldselectromagnetic waves to protect the human body from the far infrared rays. Traditional EMSE garments primarily usemetallic plates for reflecting electromagnetic interference (EMI). However, they also have disadvantages of a heavy weight,easy corrosion, and high production cost. In this study, three different functional yarns are combined, during which the twistnumber of metallic wires is changed for a better shielding effect. A crochet machine is used to fabricate functional elasticknits with the metallic composite yarns as the warp- and weft-inlaid yarns. The test results show that double (D) functionalelastic knits exhibit EMSE of above 20 dB when the EMI are between 1.0 and 3.0 GHz. In addition, the knit structure canimprove breaking tensile strength by 170 % and increases bursting strength by 58 %, but undermines the tear strength by10 %. Although changing twist number of metallic composite yarns does not affect water absorption rate along the weftdirection, it helps increasing elastic recovery rate by 3.1 %, water absorption rate along the warp direction by 106 %, farinfraredemissivity by 2.3 %, water vapor transmission rate by 20 %, and air permeability by 6 %.
Jia, Yao,Hu, Ting,Hang, Chuan-Ying,Yang, Ru,Li, Xiong,Chen, Zhi-Lan,Mei, Ye-Dong,Zhang, Qing-Hua,Huang, Ke-Cheng,Xiang, Qun-Ying,Pan, Xiu-Yu,Yan, Yu-Ting,Wang, Xiao-Li,Wang, Shao-Shuai,Hang, Zhou,Tang Asian Pacific Journal of Cancer Prevention 2012 Asian Pacific journal of cancer prevention Vol.13 No.10
Purpose: To investigate the diet of patients with cervical cancer and precancerosis in the Wufeng area, a high-incidence region in China. Methods: In the case group, 104 patients diagnosed with cervical cancer or cervical intraepithelial neoplasias (CINII/III) were recruited from the Wufeng area. Nine hundred thirty-six healthy women were selected from the same area as the matched controls. A questionnaire, which included questions about general lifestyle conditions, smoking and alcohol status, source of drinking water, green tea intake, and diet in the past year, was presented to all participants. Results: Green tea intake (P=0.022, OR=0.551, 95% CI=0.330-0.919) and vegetable intake (P=0.035, OR=0.896, 95% CI=0.809-0.993) were identified as protective factors against cervical cancer or CINII/III. There was no indication of any associations of other lifestyle factors (smoking status, alcohol status, source of drinking water) or diet (intake of fruit, meat/egg/milk, soybean food, onion/garlic, staple food and pickled food) with cervical cancer. Conclusions: The results suggest that eating more fresh vegetables and drinking more green tea may help to reduce the risk of cervical cancer or CINII/III in people of the Wufeng area.
A Heuristic Algorithm for the Reliability Optimization of a Distributed Communication Network
Hung, Chih-Young,Yang, Jia-Ren,Park, Dong-Ho,Liu, Yi-Hsin The Korean Reliability Society 2008 International Journal of Reliability and Applicati Vol.9 No.1
A heuristic algorithm for reliability optimization of a distributed network system is developed so that the reliability of a large system can be determined efficiently. This heuristic bases on the determination of maximal reliability set of maximum node capacity, maximal link reliability and maximal node degree.
( Jhen-jia Guo ),( Ching-lu Hsieh ),( Ming-hung Chu ),( Chia-sheng Chen ) 한국농업기계학회 2018 한국농업기계학회 학술발표논문집 Vol.23 No.1
Hay quality is an important factor that affects yield and quality of animal products. It also influences its market price. Therefore, it is crucial to have quantitative value on hay quality. Conventionally hay quality is judged manually by its appearance, smell, and chemical composition that needs tedious laboratory analysis. Spectroscopy in near infrared, digital image technique, and electronic smell senor are techniques that have been broadly studied in agricultural field. They contain many advantages, such as, simple preparation for samples, non-destructive on samples, and quick detection. This study applied these three techniques in hay quality evaluation. Seventy Pangola hay samples were randomly collected from Kenting, a southern town in Taiwan. Each sample was scanned by a monochrometer (microPHAZER) to record its reflective spectrum at 1600~2400 nm. Its digital color image was taken by a commercial camera in a small chamber after a calibration process was performed. And the response curve of electric resistance change detected by three SiO<sub>2</sub> gas sensors of MQ5, TGS800, and TGS 822 were recorded for 15 minutes. These records were used to calibrate a prediction/classification model for hay quality evaluation. Among these sample data, 2/3 of them were used as calibration set while the rest were used as test set. For spectroscopy to predict composition, PLSR (Partial least square regression) and MLR (Multiple linear regression) models were tested to predict CP (Crude protein), NDF (Neutral detergent fiber) and ADF (Acid detergent fiber). Results showed the best model was found at PLSR that had correlation coefficient (R) on prediction and measurement on test set of 0.89, 0.80, and 0.71 for CP, NDF and ADF respectively and with RMSEP (root mean squared error of prediction) value of 1.04, 1.34, and 2.30. For digital image, expert score on each sample was calibrated with LDA (linear discriminant analysis) model and 79 features extracted from image were used. Results indicated that two groups classification accuracy was 100% in color for test set. For smell detection, four features were extracted from the response curve and LDA for two groups was tested. The classification accuracy was about 87% in test set. The study developed a GUI (Graphic user interface) to integrate these three quality evaluations for field application. In terms of contribution, this study developed a hay quality evaluation system that offers quick and nondestructive method. The system is portable and can be carried and operated in field.