Objective To compare disinfection efficacy of three different air disinfection methods on the air in blood collection room.Methods Air disinfection in blood collection room was conducted by ultraviolet (UV)light, ozone disinfector (OD)and air purification disinfector respectively ,natural sedimentation method was used to take air specimens before ,after disinfection ,and during working condition of staff ,air disinfection efficacy was detec-ted.Results All three methods could decrease air bacterial count after disinfection ,the total number of bacteria in indoor air after disinfection met the class Ⅲ environmental requirement.Under working condition of staff ,the num-ber of bacteria of OD and UV light group increased rapidly,at 4 hours was (7.53±1.28)CFU/5 min·Φ90petri dish and (8.16±1.57)CFU/5 min·Φ90petri dish respectively;air purification disinfector disinfected for 4 hours under the condition of movement of personnel in blood collection environment,bacteria count still remained <4.0 CFU/5 min·Φ90petri dish.Conclusion Disinfecting continuously by air purification disinfector can ensure the effectiveness of air cleanliness in blood collection room.

Objective:To investigate the situation of narcotic drug use in the out-patient department of our hospital to provide reference for the rational use of drugs.Method:By collecting all the prescriptions of the out-patient department of our hospital in 2007,the designations,dosages,dosage form,usage,synptoms and section offices of the narcotic drug were statistically analyzed.Result:Top 3 of the prescriptions amounts in the out-patient department were morphine sulfate sustained-Relrase tablets,pethidine hydrochloride injection and oxycodone hydrochloride sustained-release tablets. Top 3 of the prescriptions amounts in DUI were fentanyl citrate injecton,bucinnazine hydrochlooride injection and morphine hydrochloride injection.Conclusion:The narcotic drug used in the out-patient clinic of our hospital is rational on the whole,and the doctors and pharmacists should pay much attention to the use and management of narcotic drug.

Acute pancreatitis is acute inflammation due to autodigestion of pancreatic tissue by trypsogen activation, can induce systemic inflammatory reaction,and deteriorate to be nonfunction and fatality. Nuclear factor kappa B seizes the coral position in the development of acute pancreatitis, regulates gene expression of inflammatory factors and immune protein. This article reviews the therapy of pancreatitis on account of NF-κB.

Objective: To investigate the expressions of MMP-2 and MMP-7 between colorectal cancer and normal tissue.Methods: RT-PCR was used to determine the expressions of MMP-2 and MMP-7 in colorectal cancer and normal tissue.Results: The expression rate and level of MMP-2 and MMP-7 were higher in cancerous tissue than that in normal tissue(P

Objective:To study VEGF-C expression in colon cancer and the relationship of VEGF-C expression with clinicopathological features and prognosis.Methods:VEGF-C expression was examined by immnohistochemical staining in 44 cases of primary colon cancers.To analyze the relation of VEGF-C expression with clinicopathological features and prognosis.Results:Of the 44 cases of colon cancers,19 cases of carcinoma (43.2%) were evaluated to be VEGF-C positive expression and 25 cases of carcinoma (56.8%) were determined to be VEGF-C negative expression.VEGF-C expression was associated with tumor differentiation (P=0.003),nodal status (P=0.002) ,Dukes stage (P=0.001).The median survival time of the patients with positive VEGF-C expression was lower than that of patients with negative VEGF-C expression (P=0.0225).Metastatic status,the nodal status and VEGF-C were found to be significant independent prognostic factors (P=0.021,P=0.0004,P=0.0469,respectively).Conclusion:VEGF-C expression is upregulated in colon cancer.VEGF-C expression plays a important role in nodal metastasis.VEGF-C appears to be a new prognostic factor for the prediction of outcome in patients with colon cancer.

OBJECTIVE: To study the preparation of Jingluoning film-coated tablets. METHODS: The preparation of Jingluoning film-coated tablets was optimize by single factor method with granule characteristics, distribution of particle size, angle of repose, surface finish, rigidity and disintegration time limit as index. RESULTS: The optimal preparation method was as follows: the weight proportion of dry extraction to starch, dextrin and silica powder was 16.7 ∶ 16 ∶ 3 ∶ 1; the wetting agent was 90% alcohol; qualified tablets were prepared through wet granulation, tablet compressing and film coating. CONCLUSION: The preparation method is simple and practical. Prepared tablets were characterized with light weight, fast disintegration, low moisture content and good appearance and their quality is in line with the tablet general requirements stated in Chinese Pharmacopoeia (2005 edition).

Adenocarcinoma ; metabolism ; pathology ; Aged ; Carcinoid Tumor ; metabolism ; pathology ; Chromogranin A ; metabolism ; Humans ; Immunohistochemistry ; Male ; Neoplasms, Multiple Primary ; metabolism ; pathology ; Phosphopyruvate Hydratase ; metabolism ; Rectal Neoplasms ; metabolism ; pathology ; S100 Proteins ; metabolism

The β-cyclodextrin cross-linked polymer(β-CDCP) was used as adsorbent to pre-concentrate/separate the trace p-nitrophenol and then the determination was carried by UV-Vis spectrophotometry. Under alkaline condition,the adsorption/elution behavior of p-nitrophenol was studied. In 0. 02 mol/L NaOH solution and at room temperature for 30 min,the resin could separate and pre-concentrate the p-nitrophenol effectively. Methanol solution(1:1,V/V) was used as eluent and the β-CDCP could be used repeatedly. The linear range and detection limit was 0.5 -90.0 mg/L and 3. 10 μg/L,respectively. The proposed method has been used to determine the p-nitrophenol in synthesized sample with satisfactory results.

BACKGROUND:Rabbit VX2 hepatocarcinoma models are characterized by expanded and infiltrative growth, abundant blood supply, similar pathological and imaging features to human hepatocelular carcinoma, so this model is ideal for imaging experiments. OBJECTIVE: To establish rabbit VX2 hepatocarcinoma models and compare two different laparotomy methods in establishing rabbit VX2 hepatocarcinoma models. METHODS:Thirty New Zealand rabbits were randomly divided into two groups: traditional laparotomy (tumor particles were directly embedded into the liver with tweezers) and improved laparotomy (tumor particles were injected into the liver through a 15G syringe needle). The growth features of the tumor established in two different ways were compared by ultrasound. RESULTS AND CONCLUSION:The tumor formation rate was 100% in the two groups; the single rate was respectively 50% and 90%; the ectopic implantation rate was 50% and 10%, there were significant differences between two groups (P < 0.05). The mortality rate within 2 weeks was 33% and 0 in the two groups, with significant differences (P < 0.05). The improved laparotomy method is feasible for modeling rabbit VX2 hepatocarcinoma, due to minimal injury, short operation time, high success rate and stable features.

The electroencephalogram (EEG) has proved to be a valuable tool in the study of comprehensive conditions whose effects are manifest in the electrical brain activity, and epilepsy is one of such conditions. In the study, multiscale permutation entropy (MPE) was proposed to describe dynamical characteristics of EEG recordings from epilepsy and healthy subjects, then all the characteristic parameters were forwarded into a support vector machine (SVM) for classification. The classification accuracies of the MPE with SVM were evaluated by a series of experiments. It is indicated that the dynamical characteristics of EEG data with MPE could identify the differences among healthy, interictal and ictal states, and there was a reduction of MPE of EEG from the healthy and interictal state to the ictal state. Experimental results demonstrated that average classification accuracy was 100% by using the MPE as a feature to characterize the healthy and seizure, while 99. 58% accuracy was obtained to distinguish the seizure-free and seizure EEG. In addition, the single-scale permutation entropy (PE) at scales 1-5 was put into the SVM for classification at the same time for comparative analysis. The simulation results demonstrated that the proposed method could be a very powerful algorithm for seizure prediction and could have much better performance than the methods hased on single sale PF
Algorithms ; Electroencephalography ; Entropy ; Epilepsy ; Healthy Volunteers ; Humans ; Seizures ; diagnosis ; Support Vector Machine