The large-scale automatic equipments used in the pharmacy can reduce medication errors and save manpower. The RFID can enhance the medicine management to a more convenient and safer level. This paper introduces the new technology about the medicine distribution and the use of the RFID in medicine management,and discusses how to build the information and automation system in hospital pharmacy.

Objective To bring out a MAC protocol for the wireless physical signal detection system. Methods This paper studied the PCF mode in the 802.11 protocol, and gives some advices for future work according to the wireless monitoring system's character. Results The node in the system can reduce interception time, save energy and prolong life by using dynamic length superframe. Conclusion The result of the experiment shows that the system using the new protocol can improve the network capacity, reduce delay, and save energy.

War-fighter Physiologic Status Monitoring(WPSM)is a wireless sensor network that is used to collect,transmit,store and interpret physiologic data from soldiers,sailors and pilots.It can collect and monitor information regarding vital signs such as body temperature,heart rate,blood pressure,hydration and stress levels,sleep status,body position and workload capacity of the warrior.If necessary,the WPSM can notify medics and commanders if the soldier has been wounded or has become fatigued.The structure of the wireless sensor network in the WPSM and the data management of the sensor network are mainly discussed.

Objective To investigate the clinical effect of Xinmupei and psychological intervention on postpartum hemorrhage caused by uterine atony. Methods The control group was given hemabate treatment,the study group in the patients with uterine atony postpartum hemorrhage hemabate treatment combined with psychological intervention,treatment records,two groups of patients with postpartum hemorrhage caused by uterine atony incidence of adverse reactions,the data input SPSS software for statistical analysis. Results The clinical total efficiency in study group was 93.62％.Total effective rate of the control group was 76.60％(P<0.05);the incidence of adverse reactions(19.15％)was significantly lower than the control group(38.30％,P<0.05). Conclusion In the treatment of postpartum hemorrhage due to uterine atony,the use of psychological intervention for the patient's actual situation is beneficial to achieve more satisfactory treatment effectiveness and safety.

The inspiratory impedance threshold device (ITD) was put forward by Lurie in 1995, and was assigned as a class II a recommendation by the International Liaison Committee on Resuscitation (ILCOR) resuscitation guidelines in 2005. The ITD is used to augment negative intrathoracic pressure during recoil of the chest so as to enhance venous return and cardiac output, and to decrease intracranial pressure. In the recent years many researches on the ITD have been1 carried out, but all the researches can not take out a clear evidence to support or refute the use of the ITD. This paper introduces the structure and working principle of the ITD in detail, the research results and the debates about the use of the ITD for the past years.
Cardiopulmonary Resuscitation ; instrumentation ; Electric Impedance ; Humans ; Pressure

The modulating action and mechanism of endogenous nitric oxide (NO) on the delayed rectifier potassium currents in cultured hippocampal neurons were examined using whole-cell patch clamp techniques. L-arginine (L-Arg, 2 mmol/L), a substrate of NO synthases, significantly suppressed the delayed rectifier K+ currents in hippocampal neurons, while its isomer D-arginine (D-Arg, 2 mmol/L) exerted no effect. Moreover, pretreatment with NO synthase inhibitor L-NAME (0.5 mmol/L) completely blocked the suppressing effect by L-Arg, indicating that L-Arg exerted its modulation by producing NO but not by itself. No effect was found on the L-Arg-induced inhibition by 10 min pretreatment of 10 |?mol/L ODQ (a specific inhibitor of guanylate cyclase). In contrast, thiol-alkylating agent N-ethylmaleimide (1 mmol/L) completely precluded L-Arg-induced inhibition on the whole K+ currents. The results indicate that endogenous NO modulates the delayed rectifier K+ currents in cultured hippocampal neurons mostly through S-nitrosylation.

Objective To design an endoscopic image acquisition system.Methods High resolution CCD image sensor was used as the image acquisition equipment to converse the optical signals into electrical ones. Data were stored with FPGA controller after ADC, and then transmitted to the computer with PCI bus,Results Trials proved that the system could acquire clear and stable image with simple structure and easy operation.Conclusion The system can acquire high-quality images for the diagnosis and treatment of endoscope.

Objective To develop a HPLC-MS/MS method for determination of Imatinib and Dasatinib in CML patient,and make it used in clinic trial.Methods The separation was performed on a Ultimate XB-C18 column with a mobile phase of water(containing 2 mmol/L ammonium acetate and 0.1 ml/dl formic acid)and methanol(containing 0.1 ml/dl formic acid). The way of eluting was gradient.Mass spectrum detection method was ESI positive ion mode and monitoring Imatinib m/z 494.5>394.3 and Dasatinib m/z 488.3>401.3.Results The standard curve of Imatinib was linear over the range of 0.05~7.5 μg/ml,Y =5.6×105 X+5× 103 (R =0.999 8).Thestandard curve of Dasatinib was linear over the range of 5~250 ng/ml,Y =211X+66.6(R=0.999 6).The relative recovery was among the range of 90%~107%.RSDs of intra-and inter-day validation were less than 10%.Conlusion This method is convenient,accurate and rapid,and can be used for the deter-mination of Imatinib and Dasatinib in clinic test.

Objective To review the clinical data of the first 100 consecutive robotic-assisted laparoscopic radical prostatectomy ( RALRP) performed by a single surgeon , and to provide our experience in passing the learning curve of RALRP .Methods The retrospective study enrolled 100 consecutive patients diagnosed with prostate cancer from June 2012 to November 2014, who had undertaken RALRP , performed by Prof.Gao Xu.The patients aged 67 (50 to 87) years, with a mean PSA level of 20.3 (1.3 to 214.0)μg/L, among which 89 had a clinical staging of T1a to T2b, 4 staged T2c, and 7 staged T3a to T4.Of the patients, 16, 37, and 47 patients were categorized as low , intermediate, and high risk level , respectively. The operation time and blood loss volume were analyzed by moving average method .Results RALRP in all 100 cases were carried out successfully , with no conversion to open prostatectomy .The mean operation time was 221 (120 to 480) min, with an average intraoperative blood loss of 207 (50 to 800) ml; 2 cases received blood transfusion.Positive surgical margin rate was 26%.Eighty (89%) of 90 cases had recovery of continence ( equal to or less than 1 pad used daily ) 3 months postoperatively;10 cases had a follow-up time less than 3 months, and 5 had gained recovery of continence .The operation time and blood loss volume were stable at the 85th -90th case.Conclusion RALRP has a short learning curve , with a promising overall treatment outcome in the early phase of learning .

Acute respiratory distress syndrome (ARDS) is a serious threat to human life and health disease, with acute onset and high mortality. The current diagnosis of the disease depends on blood gas analysis results, while calculating the oxygenation index. However, blood gas analysis is an invasive operation, and can't continuously monitor the development of the disease. In response to the above problems, in this study, we proposed a new algorithm for identifying the severity of ARDS disease. Based on a variety of non-invasive physiological parameters of patients, combined with feature selection techniques, this paper sorts the importance of various physiological parameters. The cross-validation technique was used to evaluate the identification performance. The classification results of four supervised learning algorithms using neural network, logistic regression, AdaBoost and Bagging were compared under different feature subsets. The optimal feature subset and classification algorithm are comprehensively selected by the sensitivity, specificity, accuracy and area under curve (AUC) of different algorithms under different feature subsets. We use four supervised learning algorithms to distinguish the severity of ARDS (P/F ≤ 300). The performance of the algorithm is evaluated according to AUC. When AdaBoost uses 20 features, AUC = 0.832 1, the accuracy is 74.82%, and the optimal AUC is obtained. The performance of the algorithm is evaluated according to the number of features. When using 2 features, Bagging has AUC = 0.819 4 and the accuracy is 73.01%. Compared with traditional methods, this method has the advantage of continuously monitoring the development of patients with ARDS and providing medical staff with auxiliary diagnosis suggestions.
Algorithms ; Area Under Curve ; Blood Gas Analysis ; Humans ; Machine Learning ; Monitoring, Physiologic ; methods ; ROC Curve ; Respiratory Distress Syndrome, Adult ; diagnosis ; Sensitivity and Specificity