"Three-multi" overall evaluation system on the teaching effect of Microbiology experiment,which consisted of multi-aspect,multi-angle and multi-level,was discussed in this paper. The evaluation system showed a remarkable effect in stimulating the leaning interests of students especially.

Based on the research of text (Ⅰ) which determined the fermentation medium, the fermentation condition of CNY086 including temperature, volume, inoculum and inoculum age had been studied by single factor and orthogonal experiment. The optimum temperature, liquid volume, inoculum and seed age were 15?C, 250 mL/500 mL, 15%, 10 h. Under the conditions above mentioned, enzyme activity reached 104.36 U/mL in 5 L fermentor.

21 cold-active strains which produced cold-active cellulase were isolated from Bohai Bay. One of the strains CNY01 was a kind of Trichoderma viride and its cellulase activity was 67.30 U/mL. Through UV and DES mutation, the strain CNY086 was bred and its cellulase activity was 92.17 U/mL. The strain CNY086 had stable ability to produce cellulase. Through orthogonal experiment, the optimal condition of the fermentation medium had been tested. The suitable medium was that straw power 1.20%, bran 0.70%, (NH4)2SO4 0.50%, KH2PO4 0.55%, in this condition the cellulase activity came to 108.55 U/mL.

The fermentation conditions of high 1.3 -propanediol-producing strain E. aero-N-56 were determined in this Paper. The optimum conditions of producing 1.3-PD were: initial pH 7.0, temperature 30℃, culture time 48 h, inoculum size 9% . Under the optimum conditions: the 1.3-PD productivity reached up to 23.68 g/L?d; the 1,3-PD yield of E. aero-N-56 up to 47.36 g/L in 30 L fermentor.

Recombinant tissue plasminogen activator (rt-PA) is the most effective treatment for acute ischemic stroke and the exclusion criteria of rt-PA has been revised to extend its application. However, in Taiwan, National Health Insurance (NHI) did not follow the latest international consensus due to safety concerns. The present study investigated whether extending the application of rt-PA in Taiwan was safe and effective. The medical records from the Shuang Ho hospital stroke registry between August 2009 and December 2016 were retrospectively reviewed. Post rt-PA intracranial hemorrhage (ICH) and modified Rankin Scale (mRS) score at 3-month after stroke were the primary and secondary outcomes, respectively. Differences were analyzed through Fisher’s exact test and Student’s t test. A p-value of <0.05 was considered statistically significant. Overall, there were 243 patients categorized into two groups: NHI exclusion criteria adherence (n = 160) and non-adherence (n = 83). There was no significant difference in the risk of post rt-PA ICH (12.50% in adherence group, 4.82% in non-adherence group, p=0.07). Among the non-adherence group, 10 patients breached the latest international exclusion criteria and none of them experienced post rt-PA ICH. However, among patients with moderately severe stroke, the odds of mRS < 2 at 3-month were significantly lower in non-adherence group. This study demonstrated that extending administration of rt-PA in Taiwan was safe but the functional outcome after moderate stroke was not as favorable as adherence group. Old age, long onset-to-treatment time and less efficacy of lower dose of rt-PA were the possible factors for the difference in outcome.

Background: The risk and benefit of tissue plasminogen activator (tPA) for aged>80 years with acute ischemic stroke (AIS) are controversial. In this study, we investigated the safety and efficacy of tPA in this population and utilized the artificial neural network (ANN) to established outcome predictive models. Methods: We retrospectively reviewed the stroke registry data of patients with AIS, aged >80 years who arrived at the hospital within 3 hours from the onset of symptoms. The characteristics and the outcomes, presented as modified Rankin Scale (mRS), and mortality rate at 3 months between the tPA-treated and non-tPA groups were analyzed. An ANN algorithm was applied to establish predictive models. Results: A total of 80 patients aged>80 years with AIS were identified, and 49 of them received tPA. After adequate training, our ANN models accurately predicted the outcomes with the area under the receiver operating characteristic curves of 0.974, and a low error to predict the mRS score at 3 months. After applying our prediction model to those in the non-tPA group, we demonstrated the potential benefits in those patients if they had undergone tPA therapy. Conclusions: Our results show that ANN can be a potentially useful tool for predicting the treatment outcomes of tPA. Such novel machine learning-based models may help with therapeutic decision making in clinical settings.