Objective To discuss the effect of group counseling for medical students in reducing academic procrastination,and explore effective means to improve learning efficiency.Methods 24 students identified as voluntary research subjects were divided into the experimental group and the control group,male and female ratio was 1:1.The experimental group received counseling activities for eight times,the control group members did not receive any intervention.This thesis took use of Procrastination Assessment Scale-Students (PASS) as an evaluation tool in before and after test and tracing test,and did the significance test,as a quantitative analysis of this study.Results The quantitative study showed that the difference between the experimental group and the control group in pre-test was insignificant,indicating these research subjects belong to homogeneous research subjects; differences in pre-test and post-test of the experimental group were significantly greater than the differences of pre-test and post-test in the control group,indicating the group counseling producing an effect on learning procrastination.In order to verify the effect's continuity of the group psychological counseling,a tracking test was conducted on the members three months later.After three months,the tracking test scores of the experimental group and the control group were not significantly lower than the pre-test score.In tracking tests,the experimental group's scores were lower than before-test,indicating the effect of group psychological counseling was sustainable.Conclusions Group psychological counseling activities can reduce academic procrastination of medical school students and the group psychological counseling scheme has effectiveness and feasibility.

Objective:To evaluate the efficacy and safety of continuous intrathecal morphine infusion system for patients with refracto-ry cancer pain. Methods:Seventeen patients with refractory cancer pain were implanted with intrathecal catheters and connected with a continuous external electronic patient-controlled analgesia (PCA) pump for intrathecal morphine analgesia. Visual analogue scales (VAS) score, the dose of routine opioids, and the score for quality of life before and after intrathecal analgesia were recorded. Adverse reactions were observed. Results:After the application of continuous intrathecal morphine analgesia, the VAS score of pain was 2.9±1.8, which is lower than 7.2±2.5 before intrathecal analgesia (P<0.001). Moreover, the dose of routine opioids (i.e., equianal-gesic dose of morphine) was 42.1 ± 7.5 mg/day, which is significantly lower than 282.9 ± 95.5 mg/day before intrathecal analgesia (P=0.004). The scores of general activity, mood, and sleep after intrathecal analgesia were significantly lower than those before intrathe-cal analgesia (P<0.05). However, the analgesic satisfaction of patients considerably increased after intrathecal analgesia (P<0.001). Ad-verse reactions included withdrawal syndrome, headache, urinary retention, and intrathecal infection. Conclusion:The continuous in-trathecal morphine infusion with PCA is effective and safe on analgesic treatment for patients with refractory cancer pain.

A new risk analysis method based upon reliability theory was introduced in this paper for the quality risk management of Chinese medicine injection manufacturing plants. The risk events including both cause and effect ones were derived in the framework as nodes with a Bayesian network analysis approach. It thus transforms the risk analysis results from failure mode and effect analysis (FMEA) into a Bayesian network platform. With its structure and parameters determined, the network can be used to evaluate the system reliability quantitatively with probabilistic analytical appraoches. Using network analysis tools such as GeNie and AgenaRisk, we are able to find the nodes that are most critical to influence the system reliability. The importance of each node to the system can be quantitatively evaluated by calculating the effect of the node on the overall risk, and minimization plan can be determined accordingly to reduce their influences and improve the system reliability. Using the Shengmai injection manufacturing plant of SZYY Ltd as a user case, we analyzed the quality risk with both static FMEA analysis and dynamic Bayesian Network analysis. The potential risk factors for the quality of Shengmai injection manufacturing were identified with the network analysis platform. Quality assurance actions were further defined to reduce the risk and improve the product quality.
Drugs, Chinese Herbal ; administration & dosage ; chemistry ; standards ; Medicine, Chinese Traditional ; standards ; Quality Control ; Reproducibility of Results ; Risk Assessment

Huge amount of data becomes available from the pharmaceutical manufacturing process with wide application of in- dustrial automatic control technology in traditional Chinese medicine (TCM) industry. The industrial big data thus provides golden op- portunities to better understand the manufacturing process and improve the process performance. Therefore it is important to implement data integration and management systems in TCM plants to easily collect, integrate, store, analyze, communicate and visulize the data with high efficiency. It could break the data island and discover useful information and knowledge to improve the manufacturing process performance. The key supporting technologies for TCM manufacturing and industrial big data management were introduced in this paper, with a specific focus on data mining and visualization technologies. Using historic data collected from a manufacturing plant of Shengmai injection of SZYY group, we illustrated the usefulness and discussed future prospects of data mining and visualization technologies.
Cluster Analysis ; Computer Graphics ; Data Mining ; methods ; Manufactured Materials ; Medicine, Chinese Traditional ; methods ; Quality Control

Objective To investigate experience in nursing the patients with emergency traumatic injury combined with postoperative atelectasis. Method The clinical data of 11 patients with emergency traumatic injury combined with postoperative atelectasis were reviewed for summarizing the nursing experience. Result The clinical symptoms of all the 11 patients disappeared and the lungs reexpanded. Conclusion Careful observation of the disease conditions in order to prevent and treat atelectasis by airway humidification, sputum drainage and early exercises are effective for the cure of postoperative atelectasis.

Objective To study the effects of Rukangping Capsules(RC) on trace elements in liver and breast of mammary gland hyperplasia rats.Methods SD rats were divided into blank group,model group,RC group,Xiaoyao pills group and tamoxifen group.The changes of content of copper(Cu),zinc(Zn),iron(Fe),manganese(Mn),selenium(Se) in liver and breast were observed.Results Compared with the model group,the hepatic and mammary trace element content were improved in the three medication groups and the difference being significant.Conclusion RC can regulate the trace elements content in liver and breast of mammary gland hyperplasia rats.

Cell-Derived Microparticles ; Disease Progression ; Humans ; Leukemia ; pathology

Adolescent ; Adult ; Aged ; Female ; Humans ; Induction Chemotherapy ; Intercellular Signaling Peptides and Proteins ; metabolism ; Leukemia ; metabolism ; therapy ; Male ; Middle Aged ; Proto-Oncogene Proteins ; metabolism ; Receptor Protein-Tyrosine Kinases ; metabolism ; Young Adult

Acute Disease ; Adult ; Emergency Nursing ; Emergency Treatment ; Humans ; Male ; Middle Aged ; Phosgene ; analogs & derivatives ; poisoning

This paper briefly analyzed and discussed the current status and major scientific challenges of traditional Chinese medicine (TCM) formulaology research. To promote formulaology research, a new strategy and corresponding technology, network formulaology, were proposed to reveal the complex interaction between functional chemome and biological responses network. The research framework and directions of network formulaology were also summarized and prospected.
Chemistry, Pharmaceutical ; methods ; standards ; Drugs, Chinese Herbal ; chemistry ; Internet ; Medicine, Chinese Traditional ; standards