[Objective] To compare the disinfection effect of different disinfectants on disinfection effect of laryngeal endoscope,and seek for a more safe and effective disinfectant for laryngeal endoscope.[Methods] 180 laryngeal endoscope were divided into three groups with 60 of them in each group.Acidic electrolyzed oxidizing water(AEOW),2％ glutaraldehyde and orthophthalaldehyde were used for disinfection.Three minutes and five minutes after disinfection,the samples were got and underwent bacterial detection.The disinfection effect after three minutes and five minutes was compared.[Results] The qualified rate of disinfection and cost between AEOW,2％ glutaraldehyde and orthophthalaldehyde showed distinct difference.[Conclusions] Using acidic electrolyzed oxidizing water in the disinfection of laryngeal endoscope has advantages of fast,effective,low-cost,which can be applied in the clinical work.

OBJECTIVE: To investigate the alterations of bcl-2 gene family in the area of CA-3 in rats and the molecular mechanism of neuronal apoptosis following traumatic brain injury. METHODS: To investigate the alterations of bcl-2 gene family in the area of CA-3 in rats and the molecular mechanism of neuronal apoptosis following traumatic brain injury. RESULTS: The immunoreactivity of bcl-2 and bcl-x proteins decreased in the hippocampus ipsilateral impact site at 6 hours after injury, and this was the main cause of down-regulation of the value of (bcl-2+bcl-x)/ bax. During the period of 1-3 days after injury, bax protein expression increased significantly, while bcl-2 and bcl-x protein expressions decreased relatively slowly. The decreased value of (bcl-2+bcl-x)/ bax was mainly due to the bax up-regulation. CONCLUSIONS: The bcl-2 gene family is involved in neuronal apoptosis after traumatic brain injury, and the protein-expression alterations of the bcl-2 gene family members lead to apoptosis of the neuronal cells.

Objective To evaluate the effect of an inverse planning simulated annealing (IPSA) in the treatment of cervical cancer with combined intracavitary and interstitial three-dimensional brachytherapy.Methods A total of 60 patients with locally advanced cervical cancer who received both external beam radiotherapy and combined intracavitary and interstitial brachytherapy in our hospital from October 2016 to July 2018 were enrolled.Patients were divided into four groups with 15 patients each according to the number of needles applied (1,2,3,and 4 needles,respectively).Dosimetric distributions were optimized with both Graphical optimization (GRO) and IPSA.Paired t-test was applied to compare the dosimetric differences between plans optimized with GRO and IPSA.Results The Dg0 and V100 of IPSA plans were higher than those of GRO (t=-4.742,-4.823,P＜0.05),while the conformity index (CI) and conformal index (COIN) were slightly lower than those of GRO plans (t=9.642,8.783,P＜0.05).No significant difference in the V150,V200,V300 between IPSA and GRO (P＞0.05) was observed.There was also no significant difference in the D2cm3 of bladder and rectum between IPSA and GRO (P＞0.05).The difference of Dg0 between IPSA and GRO was increased as the number of implanted needles increased,which increased from 4 cGy to 14 cGy as the number of needle increased from 1 to 4.The difference of V100 between GRO and IPSA was also increased as the number of needle increased.Conclusions In the treatment of cervical cancer with combined intracavitary and interstitial threedimensional brachytherapy,IPSA plan could improve the target coverage(D90,V100)without increasing the dose to the OARs and high dose region in the target compared with GRO.With the numbers of needles increased,the advantage of IPSA increased in terms of target coverage.

Prediction of the interactions between small molecules and their targets play important roles in various applications of drug development, such as lead discovery, drug repurposing and elucidation of potential drug side effects. Therefore, a variety of machine learning-based models have been developed to predict these interactions. In this study, a model called auxiliary multi-task graph isomorphism network with uncertainty weighting (AMGU) was developed to predict the inhibitory activities of small molecules against 204 different kinases based on the multi-task Graph Isomorphism Network (MT-GIN) with the auxiliary learning and uncertainty weighting strategy. The calculation results illustrate that the AMGU model outperformed the descriptor-based models and state-of-the-art graph neural networks (GNN) models on the internal test set. Furthermore, it also exhibited much better performance on two external test sets, suggesting that the AMGU model has enhanced generalizability due to its great transfer learning capacity. Then, a naïve model-agnostic interpretable method for GNN called edges masking was devised to explain the underlying predictive mechanisms, and the consistency of the interpretability results for 5 typical epidermal growth factor receptor (EGFR) inhibitors with their structure‒activity relationships could be observed. Finally, a free online web server called KIP was developed to predict the kinome-wide polypharmacology effects of small molecules (http://cadd.zju.edu.cn/kip).