Objective To isolate bioactive compound of enhancing fibrinolysis from secondary metabolites of marine microorganism.Methods The separation of microorganism from seawater samples,screening of producing fibrinolytic compound's strain,selection of the active strain's optimum fermentation medium and refining of active compound were done by the method of selective cultivation,measuring of compound's fibrinolytic activity and semipreparative HPLC,respectively.Results Nine hundred and thirty-six single strains from 31 samples were collected 100 meters off the coast,and cultures of the fungus(FG216) contained enhancing fibrinolytic compound.Compounds from modified Czapek medium as the fermentation medium of FG216 showed significant fibrinolytic effect.Finally,active fraction were isolated and refined from cultures of FG216.Conclusion In this paper,active compound of enhancing fibrinolysis were gained from secondary metabolites of isolated single microorganism from seawater.

ObjectiveTo evaluate the expression of interleukin-1 β ( IL-1β) ; interlenkin-8 ( IL-8 ) ; tumor necrosis factor-α,(TNF-α) in induced sputum in different stages of stable chronic obstructive pulmonary disease (COPD) and heath smoking controls.Methods90 healthy smoking controls and 100 stable COPD patients were enrolled.The levels of IL-1β,IL-8 and TNF-α in induced sputum were detected by radioimmunoassay.ResultsThe levels of IL-1β,IL-8 and TNF-α in stable COPD patients were much higher than those in healthy smoking controls (P =0.000).There are an inverse correlation between FEV1 and levels of IL-1 β,IL-8 and TNF-α in induced sputum (r=-0.678,-0.752,-0.615,all P＜0.05).ConclusionIL-1β,IL-8 and TNF-α may play important roles in the mechanism of airway inflammation in stable COPD.The levels of IL-1 β,IL-8 and TNF-α in induced sputum may be a marke of severity of airway inflammation in stable COPD.

Objective To use Q value method to assess the effect of combination therapy with vitamin E and vitamin C for idiopathic asthenospermia. Methods 76 patients diagnosed as idiopathic asthenospermia by computer-assisted semen analysis according to the WHO criteria were selected at the andrology clinic from August 2012 to November 2013. Malondialdehyde (MDA) concentration was measured by using thiobarbituric acid (TBA) assay. The patients were randomly divided into three groups. Vit C group received vitamin C 200 mg thrice daily, vit E group received vitamin E 100 mg thrice daily , and the combination group received vitamins E and C for 12 weeks. Repeat semen analysis and MDA measurement were conducted after treatment, and the Q value which evaluated whether a synergistic interaction existed was calculated. Results MDA concentration decreased in all the groups, with the lowest concentration in the combination group. While all the groups achieved improvement in term of progressive motility , with the combination group presented far more better than the other two groups , exhibiting a synergistic interaction, with a Q value of 1.18. Conclusion Combination therapy with vitamin E and vitamin C has a marked internal synergistic effect on antioxidation in the treatment of idiopathic asthenospermia.

Objective To investigate the affecting factors on auditory and speech performances in preschool children with unilateral cochlear implantation (CI) .Methods The clinical data of the preschool children (n=165) with unilateral cochlear implantation in the Second Xiangya hospital from January 2006 to April 2013 were collected . These children received rehabilitation according to the method recommended by the China Rehabilitation Research Center for Deaf Children ,and the data were analyzed retrospectively .The categories of auditory performance (CAP) and speech intelligibility rating (SIR) were used to assess their auditory and speech performances .The relationships between the performance and gender ,implanted age ,genotype ,inner ear malformation ,history of hearing aid were evaluated .Results Implanted ages and genotypes were associated with the auditory and speech performance of par‐ticipants (P<0 .05) ,while genders ,hearing aid experience ,and inner ear malformations(enlarged vestibular aque‐duct syndrome ,EVAS)were not significant related (P<0 .05) .Children were found to have achieved better CAP and SIR growths when CI was implanted during 1~3 years old and 2~4 years old ,respectively (P<0 .05) .The outcomes of CI recipients with GJB2 mutation were significantly better than those of the GJB2-nonrelated CI recipi‐ents (P<0 .05) .Conclusion This study provides evidence that CIs during first 1~3 years old having better auditory rehabilitation results than those of during 4~6 years old ,and CIs during 2~4 years old obtaining a better speech development in the first 12 months after operation .Deaf children with GJB2 mutation show better auditory and speech performances after CIs than those of the peers without GJB2 mutation .CIs can be effectively performed in deaf children associated with EVAs as in those without EVAS .

Objective:To establish a simple and efficient clinical prediction model of moderate and severe obstructive sleep apnea hypopnea (OSAHS) in snoring patients based on the clinical data and morphological measurement data in order to increase the early diagnosis and then early intervention of OSAHS. The prediction model is evaluated by external validation.Methods:A total of 299 subjects from January 2015 to December 2018 were selected to perform polysomngraphy (PSG) in Yangpu Hospital, Tongji University School of Medicine. According to the PSG results, they were divided into moderate and severe OSAHS groups (143 cases) and control groups (156 cases). Clinical complications data and morphological measurement data were collected. The regression equation and ROC curve were established according to the Logistic regression method. Then, another 110 subjects from January 2019 to October 2019 were chosen as verified data group, and used to verify the accuracy of the prediction model. The data of 110 subjects were put into the equation according to risk factors and assignment. The ROC curve was drawn and the area under the curve was calculated. The sensitivity, specificity, accuracy, positive predictive value and negative predictive value were calculated.Results:The predicted equation was: y = -10.707 86+0.589 60 × sex+ 0.141 61 × BMI+ 1.281 62 × tonsil size degree+ 1.807 43 × modified Mallampati degree′tongue position. The AUC of the ROC curve of prediction model in training set was 0.851(95% CI 0.807-0.895), the sensitivity was 83.9%, the specificity was 79.5%, and the cut-off value was 0.634.The AUC of the ROC curve in validation set was 0.827(95% CI 0.751-0.904) with a sensitivity of 73.3% and a specificity of 86.0%, and an accuracy of 79.1%. Its positive predictive value was 5.238, and negative predictive value was 0.310. Conclusions:The predictive model constructed by the combination of clinically accessible data (sex) and morphological measurement (BMI, tonsil size degree, modifiedMallampatidegree) has a relatively high predictive efficiency for screening snoring patients with moderate and severe OSAHS. The predictive model is proved with good forecast accuracy by the external verification method.

Electrocardiogram (ECG) signal is important for physician to diagnose diseases. Various existing techniques on ECG classification have been reported. Generally, these techniques classify only two or three arrhythmias and need significantly long processing time. A new algorithm based on Support vector machine (SVM) is presented to solve the problem in this paper, which has been successfully applied to the classification of ECG. And in this paper are clarified the fundamental ideas of the classification of ECG based on SVM. Compared with the traditional neural network, this method is superior to it in theory. Because this new method deals with the minimization of the test samples, not the training samples.
Algorithms ; Artificial Intelligence ; Diagnosis, Computer-Assisted ; methods ; Electrocardiography ; methods ; statistics & numerical data ; Humans ; Models, Statistical ; Signal Processing, Computer-Assisted

Lymph metastasis has great impact on the prognosis of pancreatic cancer patients, which can relfect the biological and invasive potential of pancreatic cancer. However, currently, there is no standard in the clinical management of the lymph metastasis in pancreatic cancer. In this report, we will discuss and summarize the followings:lymph metastatic rate and its impact on prognosis, the rule of lymph metastasis, sentinel lymph node, intra-operative lymph nodes mapping, TNM staging, regional lymph nodes resection, number of lymph nodes examined, lymph node ratio, guiding adjuvant treatments, lymphatic targeted therapy.

OBJECTIVETo prepare the cubic phase gel containing capsaicin and characterize its properties.

METHODThe cubic phases gel composed of glycerol monoolein, capsaicin and water was made by self-emulsion technology. The characterization of cubic phase gel was carried out by cross-polarizing light microscopy (CPLM) and Small Angle X-Ray Scattering (SAXS). The capsaicin content was determined by HPLC analysis.

RESULTUnder CPLM, cubic phase gel showed dark background. SAXS scattering spectra showed the scattering peaks at 0.1096, 0.1334, 0.1557, 0.1883 A(-1) which was compatible with q1:q2:q3:q4 = mean square root of 2: mean square root of 3: mean square root of 4: mean square root of 6. It was well known that the scattering vector ratio was the characteristic of cubic phase and the internal structure was confirmed to be Pn3m (Q224). The linear range for capsaicin determination was 3.25 x 10(-4) - 2.08 x 10(-2) g x L(-1) (R2 = 1). The average recovery was 97.53% with RSD of 2.9% (n=9).

CONCLUSIONCPLM and SAXS technology are suitable to characterize the cubic phase gel The determination of the capsaicin content by HPLC is simple and reproducible.

Background and purpose:Ultrasound is a regular screening method of solid pseudopapillary tumor of the pancreas (SPTP). This study was to summarize the diagnostic value of ultrasound to SPTP.Methods:Clinical and ultrasound data of 62 SPTP cases in Fudan University Shanghai Cancer Center were retrospectively collected and analyzed.Results:Five cases of SPTP were undetected by ultrasound in the group. The features of ultrasound including: large mass located at the body and tail of the pancreas, clear boundary and regular shape, low ultrasound with uneven signal, or low signal mixed with no signal. A few cases have calciifcation and blood signal. Most of the cases presented no dilation of main pancreatic duct and bile duct and regional lymph nodes enlargement. Conclusion:Ultrasound can be used to detect SPTP which has special ultrasound signal features.

The similarity measures between Vague sets are one of the most important technologies in Vague sets, In this paper, the new similarity measures based on Huang Guoshun's related works are presented and applied in electrocardiogram auto-recognition. Based on medical requiresments, in this paper, the characteristic parameters of signals from Massachusettes Institute of Technology (database) have been picked up and studied with BP neural network. In the end, the electrocardiogram samples are classified with the use of those characteristic parameters. The result shows that the accuracy of recognition goes up to 99.04%.
Algorithms ; Electrocardiography ; methods ; Fuzzy Logic ; Humans ; Neural Networks (Computer) ; Pattern Recognition, Automated ; Signal Processing, Computer-Assisted