Study on Gloeostereum Inoarnatum 5. Itoetimai - Fermentation Cultivation(Liquid Fermentation)

Jie, Tai-Long The Plant Resources Society of Korea 2001 Plant Resources Vol.4 No.3

It was reported in our Previous paper that the fermented products from Gloeostereum incarnatum strongly inhibit the growth of six kinds of bacteria in human bodies. In this paper the appropriated conditions of immersing culture for the strain 8 903 of Gloeostereum incarnatum was analysed. And the output of the hypha and fermentative product was determined or compared. The prelimenaryresults showed that the appropriated conditions for the growth of Gloeostereum incarnatum are: (1)culture medium:glucose 3%; protein peoptne 0.2%; soybeancake power 1% yeast power 0.3%; KH2PO40.05%; MgSO4 0.03%; CaCO3 0.01%; vitamin Bl 0.001%; befor sterilization pH Value of six should be maintained; (2) temperature; 27f ~28f ; (3) time; about 200 hours; (4) ventilation; (30%∼50%)/min. The sigh of the end culture are: pH coming down about 4: remnant glucoses less 1%; amino nitrogens about 20%; time about eight days. In the aforementioned conditions, the output of fermentative product achieve to 2.5∼3g/L.

Association of XRCC3 Thr241Met Polymorphisms and Gliomas Risk: Evidence from a Meta-analysis

Liang, Hong-Jie,Yan, Yu-Lan,Liu, Zhi-Ming,Chen, Xu,Peng, Qi-Liu,Wang, Jian,Mo, Cui-Ju,Sui, Jing-Zhe,Wu, Jun-Rong,Zhai, Li-Min,Yang, Shi,Li, Tai-Jie,Li, Ruo-Lin,Li, Shan,Qin, Xue Asian Pacific Journal of Cancer Prevention 2013 Asian Pacific journal of cancer prevention Vol.14 No.7

The relationship between the X-ray repair cross-complementing group 3 (XRCC3) Thr241Met polymorphism and gliomas remains inclusive or controversial. For better understanding of the effect of XRCC3 Thr241Met polymorphism on glioma risk, a meta-analysis was performed. All eligible studies were identified through a search of PubMed, Elsevier Science Direct, Excerpta Medica Database (Embase) and Chinese Biomedical Literature Database (CBM) before May 2013. The association between the XRCC3 Thr241Met polymorphism and gliomas risk was conducted by odds ratios (ORs) and 95% confidence intervals (95% CIs). A total of nine case-control studies including 3,533 cases and 4,696 controls were eventually collected. Overall, we found that XRCC3 Thr241Met polymorphism was significantly associated with the risk of gliomas (T vs. C: OR=1.10, 95%CI=1.01-1.20, P=0.034; TT vs. CC: OR=1.30, 95%CI=1.03-1.65, P=0.027; TT vs. TC/CC: OR=1.29, 95%CI=1.01-1.64, P=0.039). In the subgroup analysis based on ethnicity, the significant association was found in Asian under four models (T vs. C: OR=1.17, 95%CI=1.07-1.28, P=0.00; TT vs. CC: OR=1.79, 95%CI=1.36-2.36, P=0.00; TT vs. TC/CC: OR=1.75, 95%CI=1.32-2.32, P=0.00; TT/TC vs. CC: OR=1.11,95% CI=1.02-1.20). This meta-analysis suggested that the XRCC3 Thr241Met polymorphism is a risk factor for gliomas, especially for Asians. Considering the limited sample size and ethnicities included in the meta-analysis, further large scale and well-designed studies are needed to confirm our results.

Diaphragm Ultrasound is an Image Biomarker of AECOPD

( Tai Joon An ),( Yeun Jie Yoo ),( Jeong Uk Lim ),( Seohyun Kim ),( Chan Kwon Park ),( Chin Kook Rhee ),( Hyoung Kyu Yoon ) 대한결핵 및 호흡기학회 2021 대한결핵 및 호흡기학회 추계학술대회 초록집 Vol.129 No.-

Background The importance of evaluating the diaphragm muscle in patients with chronic obstructive pulmonary disease (COPD) is widely accepted. However, the role of diaphragm ultrasound (DUS) in COPD patients is not fully understood. Methods COPD patients who underwent DUS were enrolled between March 2020 and November 2020. The diaphragm thickening fraction (TFmax) and diaphragm excursion (DEmax) during maximal deep breathing were measured. Patients were divided into exacerbation and stable groups. Demographics, lung function, and DUS findings were compared between stable and exacerbation groups. Results Fifty-five patients were enrolled. The exacerbation group had a lower body mass index (BMI) (20.9 vs. 24.2, p < 0.01), lower TFmax (94.8 ± 8.2% vs. 158.4 ± 83.5%, p = 0.01), and lower DEmax (30.8 ± 11.1 mm vs. 40.5 ± 12.5 mm, p < 0.01) compared to stable group. The patients were divided into low and high TFmax and DEmax groups based on calculated TFmax and DEmax cut-off values. Low TFmax (odds ratio [OR] 8.4; 95% confidence interval [CI] 1.6-45.6) and low DEmax (OR 11.5; 95% CI 1.2-115.6) were associated with AECOPD after adjusting for age, sex, BMI, and forced expiratory volume in 1 sec (Figure 1). Conclusion Diaphragm Ultrasound findings, such as TFmax and DEmax, distinguished exacerbation from stable COPD status.

Human HS1BP3 induces cell apoptosis and activates AP-1

( Tai Ping Shi ),( Jie Shi Xie ),( Ying Xiong ),( Wei Wei Deng ),( Jin Hai Guo ),( Feng Wang ),( Da Long Ma ) 생화학분자생물학회(구 한국생화학분자생물학회) 2011 BMB Reports Vol.44 No.6

In the present study, we characterized the function of HS1-binding protein 3 (HS1BP3), which is mutated in essential tremor and may be involved in lymphocyte activation. We found that HS1BP3 localized to the mitochondria and endoplasmic reticulum partially. Overexpression of HS1BP3 induced apoptosis in HEK293T and HeLa cell lines. When these cell lines were transfected with HS1BP3, they exhibited nuclear DNA condensation, externalization of phosphatidylserine (PS), and cleavage of poly ADP ribose polymerase (PARP). Furthermore, suppression of HS1BP3 or HS1 expression attenuates HS1BP3 induced apoptosis. In addition, HS1BP3 enhanced activator protein 1 (AP-1)-mediated transcription in a dose-dependent manner. Therefore, we conclude that HS1BP3 regulates apoptosis via HS1 and stimulates AP-1-mediated transcription. [BMB reports 2011; 44(6): 381-386]

A study of binomial AR(1) process with an alternative generalized binomial thinning operator

Zhang Jie,Wang Jiacong,Tai Zhiyan,Dong Xiaogang 한국통계학회 2023 Journal of the Korean Statistical Society Vol.52 No.1

In order to describe the fnite-range integer-valued time series data with dependent structure and excess zeros, we introduce a new binomial AR(1) process with an alternative generalized binomial thinning operator. Some probabilistic and statistical properties of this model are derived. Model parameters are estimated by conditional least squares method and conditional maximum likelihood method. The consistency and asymptotic normality of these estimators are studied. In addition, a real data analysis shows a better performance of the proposed model than other existing models.

Colorimetric Probe Coupled to Dispersive Liquid–Liquid Microextraction for Determination of Dopamine in Serum

Zhi-gang Tai,Yi-ren Zhu,Yi-bo Yuan,Jin Liu,Zhen-jie Li,Zhi-hua Liu,Kun-miao Wang 대한화학회 2020 Bulletin of the Korean Chemical Society Vol.41 No.3

In this work, a highly sensitive method using a colorimetric probe coupled to dispersive liquid?liquid microextraction (DLLME) was developed for the quantitative determination of dopamine (DA) in serum. The DA in serum was concentrated by DLLME to increase the detection sensitivity and reduce the matrix effects. After the DLLME process, a colorimetric probe of silver triangular nanoparticles (AgTNPs) was used to detect DA, which was based on the plasma transformation of AgTNPs caused by strong interactions with melamine (MA). The results showed that DA could inhibit the aggregation of AgTNPs induced by MA, resulting in the recovery of the surface plasmon resonance (SPR) peak of AgTNPs. Thus, the DLLME method followed by colorimetric probe detection of DA can be achieved. The parameters affecting the proposed method were optimized, under the optimal conditions, a linear calibration curve was obtained over a concentration range of 5 to 250?nM with a recovery from 94.4 to 101.3%. The detection limit was 1.6 nM (at an S/N ratio of 3). The present method was successfully applied to determine DA in human serum.

Nonlinear Camera Response Functions and Image Deblurring: Theoretical Analysis and Practice

Yu-Wing Tai,Xiaogang Chen,Sunyeong Kim,Seon Joo Kim,Feng Li,Jie Yang,Jingyi Yu,Matsushita, Y.,Brown, M. S. IEEE 2013 IEEE transactions on pattern analysis and machine Vol.35 No.10

<P>This paper investigates the role that nonlinear camera response functions (CRFs) have on image deblurring. We present a comprehensive study to analyze the effects of CRFs on motion deblurring. In particular, we show how nonlinear CRFs can cause a spatially invariant blur to behave as a spatially varying blur. We prove that such nonlinearity can cause large errors around edges when directly applying deconvolution to a motion blurred image without CRF correction. These errors are inevitable even with a known point spread function (PSF) and with state-of-the-art regularization-based deconvolution algorithms. In addition, we show how CRFs can adversely affect PSF estimation algorithms in the case of blind deconvolution. To help counter these effects, we introduce two methods to estimate the CRF directly from one or more blurred images when the PSF is known or unknown. Our experimental results on synthetic and real images validate our analysis and demonstrate the robustness and accuracy of our approaches.</P>

Using GA - BP Coupling Algorithm to Predict the High-performance Concrete Mechanical Property

Libing Jin,Jie Duan,Tai Fan,Pengfei Jiao,Tianyun Dong,Qiang Wu 대한토목학회 2023 KSCE Journal of Civil Engineering Vol.27 No.2

As a cementitious composite, concrete’s property depends on the matrix generated from cement hydration and the dispersed phases such as aggregates. Compression strength is an important mechanics performance index of concrete quality, especially the High-performance Concrete (HPC). However, owing to the expensive cost of test and the existence of high-dimensional nonlinear mapping between compression strength and basic materials, it is uneasiness to precisely forecast the compression strength value of HPC by general formula method. In this research, a novel machine learning system, Genetic Algorithm and BP Neural Network (GA-BPNN) coupling algorithm, is offered to predict the compression strength of HPC. GA-BPNN coupling algorithm model used 181 groups of HPC mixture data to determine 8 factors affecting its compression strength (i.e., Water, Portland Cement, Water-binder Ratio, Fine Aggregate Ratio, Air-entraining Agent, Fly Ash, Silica Fume, and Superplasticizer) as the input variables of the model, while compression strength was set as the output variable. In addition, 166 sets of training set data were segmented into training, validation and test set again, and BP neural network (BPNN) was compared with GA-BPNN to verify the generalizationcapacity of the model in this research. By forecasting the compression strength of 15 test sets, the average relative error is only 0.902%. Finally, the sensitivity of input variables of GA-BPNN model was analyzed by using Gray Relational analysis (GRA) method. Six models were established to research the impact of sensitivity and quantity of input variables on model performance by ignoring individual input variable. The research is shown that GA-BPNN model not only has the powerful nonlinear mapping ability of BPNN, but also has the global search optimization ability of GA, and showed stronger robustness and prediction potential in the assessment of compression strength value of HPC. The sensitivity analysis shows that, to compression strength of HPC, Cement, Water and Water-binder ratio has a sensitivity score of 0.8166, 0.70122, 0.66772, respectively while Fly Ash has the lowest sensitivity.

Cooperative Spectrum Sensing Optimization Algorithm Based on Adaptive Threshold Setting

Tangsen Huang,Jie-tai Wang 보안공학연구지원센터 2016 International Journal of Future Generation Communi Vol.9 No.12

Energy detection performance in the signal to noise ratio (SNR) fluctuation needs to be improved. In order to obtain the highest probability of detection, a new cooperative spectrum sensing algorithm is proposed. Dynamic double energy thresholds and adaptive grid search are utilized to obtain the highest probability detection. Double thresholds are adaptive to noise fluctuation, and in order to obtain the best sensing performance, adaptive grid search is used firstly to find the optimal double thresholds. Simulation results show that the proposed algorithm has excellent robustness to noise fluctuation and good sensing performance even under the low signal to noise ratio.

Excessive mechanical strain accelerates intervertebral disc degeneration by disrupting intrinsic circadian rhythm

Ding Sheng-Long,Zhang Tai-Wei,Zhang Qi-Chen,Ding Wang,Li Ze-Fang,Han Guan-Jie,Bai Jin-Song,Li Xi-Lei,Dong Jian,Wang Hui-Ren,Jiang Li-Bo 생화학분자생물학회 2021 Experimental and molecular medicine Vol.53 No.-

Night shift workers with disordered rhythmic mechanical loading are more prone to intervertebral disc degeneration (IDD). Our results showed that circadian rhythm (CR) was dampened in degenerated and aged NP cells. Long-term environmental CR disruption promoted IDD in rats. Excessive mechanical strain disrupted the CR and inhibited the expression of core clock proteins. The inhibitory effect of mechanical loading on the expression of extracellular matrix genes could be reversed by BMAL1 overexpression in NP cells. The Rho/ROCK pathway was demonstrated to mediate the effect of mechanical stimulation on CR. Prolonged mechanical loading for 12 months affected intrinsic CR genes and induced IDD in a model of upright posture in a normal environment. Unexpectedly, mechanical loading further accelerated the IDD in an Light-Dark (LD) cycle-disrupted environment. These results indicated that intrinsic CR disruption might be a mechanism involved in overloading-induced IDD and a potential drug target for night shift workers.