Changes in structure of oral solid dosage forms (OSDF) elementally determine the drug release and its therapeutic effects. In this research, synchrotron radiation X-ray micro-computed tomography was utilized to visualize the 3D structure of enteric coated pellets recovered from the gastrointestinal tract of rats. The structures of pellets in solid state and in vitro compendium media were measured. Pellets in vivo underwent morphological and structural changes which differed significantly from those in vitro compendium media. Thus, optimizations of the dissolution media were performed to mimic the appropriate in vivo conditions by introducing pepsin and glass microspheres in media. The sphericity, pellet volume, pore volume and porosity of the in vivo esomeprazole magnesium pellets in stomach for 2 h were recorded 0.47, 1.55 × 10⁸ μm³, 0.44 × 10⁸ μm³ and 27.6%, respectively. After adding pepsin and glass microspheres, the above parameters in vitro reached to 0.44, 1.64 × 10⁸ μm³, 0.38 × 10⁸ μm³ and 23.0%, respectively. Omeprazole magnesium pellets behaved similarly. The structural features of pellets between in vitro media and in vivo condition were bridged successfully in terms of 3D structures to ensure better design, characterization and quality control of advanced OSDF.

Objective To evaluate the diagnostic efficiency and prognostic value of 18F-fluorodeoxyglucose (FDG) PET/CT for response assessment after treatment in patients with diffuse large B-cell lymphoma (DLBCL) when using the Deauville criteria and International Harmonization Project (IHP) criteria.Methods A total of 212 patients (119 males,93 males,average age:59.6(10-88) years) with DLBCL from February 2010 to June 2018 were analyzed.All subjects underwent restaging PET/CT after treatment.Images were evaluated with the IHP criteria,Deauville score of 3-5 (DC3) and Deauville score of 4-5 (DC4).The diagnostic efficiency of the 3 criteria for treatment effect was assessed and follow-up results were used as the gold standard.Spearman rank correlation analysis was used.Progression-free survival (PFS) and overall survival (OS) were analyzed by Kaplan-Meier analysis and Cox proportional hazards model.Results The positive predictive value and accuracy of DC4 for treatment effect evaluation were 96.8％(61/63) and 94.3％(200/212),those of IHP criteria were 75.3％(67/89) and 87.7％(186/212)respectively,and those of DC3 were 82.9％ (68/82) and 92.0％ (195/212) respectively.IHP criteria results and Deauville scores were correlated(rs =0.926,P＜0.05).The 2-year PFS rates in IHP-,DC3-and CD4-positive groups were 78.7％,76.5％ and 69.8％,respectively,and those in IHP-,DC3-and CD4-negative groups were significantly higher (95.6％,94.7％,97.2％;x2=14.415,18.293 and 26.920,all P＜0.05).The similar results were found for OS rates (x2 =9.597,11.149 and 17.416,all P＜0.05).The 2-year PFS rates in Deauville score of 1,2,3,4,5 groups were 95.3％,91.7％,93.3％,88.9％ and 55.6％ respectively (x2 =48.199,P＜0.05).Cox-regression analysis showed significant correlation between Deauville criteria and 2-year PFS rate (P＜0.05).Conclusions PET/CT with DC4,DC3 and IHP criteria have high predictive values for treatment outcome,and DC4 is the best.Cox regression analysis shows significant risk of progression by Deauville criteria.

Objective To investigate the expression of C1q/TNF-related protein-1(CTRP1)in patients with acute ischemic stroke and its predictive value for the severity of neurological deficits. Methods A total of 452 patients with newly diagnosed ischemic stroke(IS)from February 2014 to February 2017 in our hospital were selected as the study subjects,and 403 healthy subjects were selected as control group in the physical examination center. The National Institutes of Health Stroke Scale(NIHSS)was used to evaluate the neurological status of pa-tients at admission and at 6 months after discharge. The expression of CTRP1 in plasma was detected by enzyme-linked immunosorbent assay(ELISA). Multiple linear regression was used to analyze the relationship between neu-rological deficit and CTRP1. Results The expression level the CTRP1in the healthy control group[(119.53 ± 17.62)ng/mL],unexplained causes IS[(145.81 ± 18.96)ng/mL],large atherosclerotic IS[(153.17 ± 19.21) ng/mL],cardiac IS[(156.56 ± 20.96)ng/mL]and small artery occlusion IS[(169.23 ± 22.34)ng/mL]in-creased gradually with statistically significant difference(P < 0.05). The level of CTRP1in the healthy control group[(119.53 ± 17.62)ng/mL],mild neurologic impairment group[(156.29 ± 19.86)ng/mL],moderate neuro-logic impairment group[(168.74 ± 18.53)ng/mL]and severe neurologic impairment group[(175.96 ± 19.15)ng/mL]increased gradually with statistically significant difference (P < 0.05). Multiple linear regression analysis showed that CTRP1,age,diabetes,Hs-CRP and LDL-C were independent factors of neurological deficits at 6 months after discharge in IS patients. Conclusion CTRP1 can effectively predict the severity of neurological defi-cits in patients with acute IS.

Objective:To evaluate the capacity and level of melting point determination of chemical drugs in the laboratories par-ticipating in the proficiency testing. Methods:Two test samples were prepared, and the labs volunteered to participate in the proficien-cy testing program ( PTP) . The melting point determination was performed according to the general principle 0612 in part four of Chi-nese Pharmacopoeia (2015 edition), and the results were analyzed by robust statistics and the determination proficiency of the laborato-ries were evaluated by Z-score. Results:The analysis showed that two test samples were homogeneous and stable, which met the re-quirements of the PTP. Totally 31 laboratories had satisfactory results, which accounted for 83. 8%. Conclusion:The majority of the participant laboratories can accurately determine the melting points of test samples, and the information is very helpful to the next profi-ciency testing program.

Objective To explore the clinical characteristics and prognosis of patients with malignant tumor of digestive system combined with venous thromboembolism(VTE).Methods The clinical data of 77 patients admitted in Beijing Hospital from January 2003 to April 2013 with digestive system malignant tumor complicated with VTE were retrospectively analyzed.The incidence,clinical features and prognosis of the patients with digestive system cancer were analyzed.Results Among 77 patients,57 cases of male and 20 cases of female were involved,with an average age of(68.7 ± 12.4)years,including 60 cases(77.9 ％)of adenocarcinoma.The pathological results showed that differentiated tumors accounted for 61.0％ (47/77).Among the 77 patients,pulmonary thromboembolism (PTE) accounted for 33.8 ％ (26 cases) and deep vein thrombosis(DVT)in the low extremities accounted for 66.2 ％ (51 cases).Among all the patients,the most common symptoms were dyspnea and swelling or pain in the extremities.The incidence of VTE was 24.7％ (19/77),13.0％(10/77),19.5％(15/77),5.2％(4/77),5.2％ (4/77),32.5％ (25/77) at 1,3,6,9,12,＞ 12 months after diagnosis of digestive system malignancies,respectively.By April 2013,the 54.5 ％ (42/77) patients died,among which 73.8 ％ (31/42) died of digestive system malignancies,11.9 ％ (5/42) died of PTE,14.3 ％ (6/42) died of other causes.The mortality rates at 1,3,6,9,12,＞ 12 months after the diagnosis of VTE were 20.8％ (16/77),6.5 ％ (5/77),13.0 ％ (10/77),5.2 ％ (4/77),2.6 ％ (2/77),6.5 ％ (5/77),respectively.The difference in VTE incidence between the group aged ≥65 years and group aged ＜65 years at 1,3,6,9 and 12 months after the diagnosis of tumors was not statistically significant(P =0.309).The differences in mortality(P =0.357) and in the median survival time(x2 =0.290,P =0.591) between the two groups were not statistically significant at 1,3,6,9 and 12 months after the diagnosis of VTE.Conclusions The risks for VTE are high in patients with digestive tract malignant tumor,advanced malignant tumor,poor histologic grade(poorly or moderately differentiation),and chemotherapy or surgery,which mostly occurs within 3-6 months after diagnosis.Most deaths occur within the 1st year after the diagnosis of VTE.

Terahertz waves have unique properties and advantages, which makes it gain increasing attention and applications in the biomedical field. Burns is a common clinical trauma. Since the water-sensitive and non-destructive characteristics of terahertz, terahertz imaging techniques can be used to detect burns. So far, terahertz imaging technology in the assessment of burn injuries has been developed from ex vivo to in vivo, and high-resolution images can be obtained through the gauzes and plasters. In this paper, we mainly introduces the application of terahertz imaging technology and development in the assessment of burn injuries.
Bandages ; Burns ; diagnosis ; Humans ; Terahertz Imaging

Objective:To establish an HPLC method for the content determination of gliquidone tablets to improve the specificity of the content determination and the rationality of the preparation of test solution. Methods: A UPLC-MS system was used to analyze the degradation products with positive and negative ion scanning and sub-ion scanning. An ACQUITY UPLC BEH C18 column(2. 1 mm × 50 mm,1. 7 μm) was employed with the mobile phase consisting of water (adjustting pH to 3. 5 with formic acid)-acetonitrile with gradient elution. The HPLC method was performed on an Agilent Zorbax SB-C18 column(150 mm × 4. 6 mm,5 μm). Water (adjusing pH to 3. 5 with formic acid)-acetonitrile(37. 5∶62. 5) was used as the mobile phase. The detection wavelength was set at 230 nm. The column temperature was set at 30℃. The flow rate was 1. 0 ml·min-1 with the injection volume of 20μl. Results:A good linear re-lationship was obtained within the range of 60. 200-140. 400μg·ml-1(r=0. 999 5), and the average recovery was 98. 60% with RSD of 0. 6% (n=9). Conclusion:The method is accurate, reliable, specific and reproducible, which can be used in the determination of content and content uniformity of gliquidone tablets.

Brain-computer interface (BCI) is a system that can create direct connection between brain activity and external devices. In the past 20 years, important' achievements of research on BCI have been made. Now there are lots of research methods based on electroencephalic signals, and researchers are trying to make the BCI system possess the characteristics of real-time and become more natural and practical. This paper presents an overview of real-time and stimulating way to EEG-based BCI research. Through the discussions on the applications of DSP in BCI system, in signal preprocessing and in algorithm optimization, the high lights in real-time research are pointed out. In the discussions about the way to produce EEG signals in BCI, the researchers suggested that the imaging movement be the most ideal way in that it will reduce the discomfort in stimulation by application of the virtual reality technology in BCI system, thus it will be conducive to improvement in the performance of BCI system.
Brain ; physiology ; Communication Aids for Disabled ; Electroencephalography ; instrumentation ; Humans ; Man-Machine Systems ; Signal Processing, Computer-Assisted ; User-Computer Interface

Objective:Labview and VC were used to design software based on the Active One biopotential measurement system to realize the visual evoked potential based brain-computer interface.Methods:The data acquisition software was designed by Labview,the human-interface,real time signal processing and dynamic link library software were designed by VC.Data transmission between Labview and VC was realized through the dynamic link library using shared memory technology.The multimedia timer,DirectDraw technology and parallel port data output were used to design the visual stimulation interface.The 5 points averaging filter combining with averaging method were used to detect the visual evoked potential and the correlation coefficient was computed for signal recognization.Results:The experiments showed that the visual stimulator can produce effective visual stimulation.The data transmission method using the dynamic link library can satisfy the requirement of the system.Conclusions:The real-time signal processing method can improve signal-noise ratio and realize detection and recognization of visual evoked potential.The system can determine which module the subject was fixating and the result was feedback to the subject in real time.

This is a research carried out to explore a pragmatic way of BCI based imaging movement, i. e. to extract the feature of EEG for reflecting different thinking by searching suitable methods of signal extraction and recognition algorithm processing, to boost the recognition rate of communication for BCI system, and finally to establish a substantial theory and experimental support for BCI application. In this paper, different mental tasks for imaging left-right hands movement from 6 subjects were studied in three different time sections (hint keying at 2s, 1s and 0s after appearance of arrow). Then we used wavelet analysis and Feed-forward Back-propagation Neural Network (BP-NN) method for processing and analyzing the experimental data of off-line. Delay time delta t2, delta t1 and delta t0 for all subjects in the three different time sections were analyzed. There was significant difference between delta to and delta t2 or delta t1 (P<0.05), but no significant difference was noted between delta t2 and delta t1 (P>0.05). The average results of recognition rate were 65%, 86.67% and 72%, respectively. There were obviously different features for imaging left-right hands movement about 0.5-1s before actual movement; these features displayed significant difference. We got higher recognition rate of communication under the hint keying at about 1s after the appearance of arrow. These showed the feasibility of using the feature signals extracted from the project as the external control signals for BCI system, and demon strated that the project provided new ideas and methods for feature extraction and classification of mental tasks for BCI.
Algorithms ; Brain ; physiology ; Electroencephalography ; methods ; Evoked Potentials, Motor ; physiology ; Hand ; physiology ; Humans ; Movement ; physiology ; Neural Networks (Computer) ; Pattern Recognition, Physiological ; Signal Processing, Computer-Assisted ; Thinking ; physiology ; User-Computer Interface