Multiclass heterogeneous domain adaptation via bidirectional ECOC projection.

Heterogeneous domain adaptation aims to exploit the source domain data to train a prediction model for the target domain with different input feature space. Current methods either map the data points from different domains with different feature space to a common latent subspace or use asymmetric projections for learning the classifier. However, these learning methods separate common space learning and shared classifier training. This may lead complex model structure and more parameters to be determined. To appropriately address this problem, we propose a novel bidirectional ECOC projection method, named HDA-ECOC, for heterogeneous domain adaptation. The proposed method projects the inputs and outputs (labels) of two domains into a common ECOC coding space, such that, the common space learning and the shared classifier training can be performed simultaneously. Then, classification of the target testing sample can be directly addressed by an ECOC decoding. Moreover, the unlabeled target data is exploited by estimating the two domains projected instances consistency through a maximum mean discrepancy (MMD) criterion. We formulate this method as a dual convex minimization problem and propose an alternating optimization algorithm for solving it. For performance evaluation, experiments are performed on cross-lingual text classification and cross-domain digital image classification with heterogeneous feature space. The experimental results demonstrate that the proposed method is effective and efficient in solving the heterogeneous domain adaptation problems.

Qualitative and quantitative analysis of major constituents from Dazhu Hongjingtian capsule by UPLC/Q-TOF-MS/MS combined with UPLC/QQQ-MS/MS.

In this work, a sensitive and efficient method was established and validated for qualitative and quantitative analysis of major bioactive constituents in Dazhu Hongjingtian capsule by liquid chromatography tandem mass spectrometry. A total of 32 compounds were tentatively identified using ultra-performance liquid chromatography coupled with quadrupole time-of-flight mass spectrometry. Furthermore, 12 constituents, namely gallic acid, 3,4-dihydroxybenzoic acid, salidroside, p-coumaric acid-4-O-ß-d-glucopyranoside, bergeninum, 4-hydroxybenzoic acid, 4-hydroxyphenylacetic acid, syringate, 6''-O-galloylsalidroside, rhodiosin, rhodionin and kaempferol-7-O-α-l-rhamnoside, were simultaneously quantified by the developed ultra-performance liquid chromatography coupled with a triple quadrupole mass spectrometry method in 9 min. All of them were analyzed on an Agilent ZorBax SB-C18 column (3.0 × 100 mm, 1.8 µm) with linear gradient elution of methanol-0.1% formic acid water. The proposed method was applied to analyze three batches of samples with acceptable linearity (R, 0.9979-0.9997), precision (RSD, 1.3-4.7%), repeatability (RSD, 1.7-4.9%), stability (RSD, 2.2-4.9%) and recovery (RSD, 0.6-4.4%) of the 12 compounds. As a result, the analytical method possessing high throughput and sensitivity is suitable for the quality control of Dazhu Hongjingtian capsule.

[Study on Indicator Densitometry Determination Method of Hemodynamic Parameters].

Measurement for hemodynamic parameters has always been a hot spot of clinical research. Methods for measuring hemodynamic parameters clinically have the problems of invasiveness, complex operation and being unfit for repeated measurement. To solve the problems, an indicator densitometry analysis method is presented based on near-infrared spectroscopy (NIRS) and indicator dilution theory, which realizes the hemodynamic parameters measured noninvasively. While the indocyanine green (ICG) was injected into human body, circulation carried the indicator mixing and diluting with the bloodstream. Then the near-nfrared probe was used to emit near-infrared light at 735, 805 and 940 nm wavelengths through the sufferer's fingertip and synchronously capture the transmission light containing the information of arterial pulse wave. By uploading the measured data, the computer would calculate the ICG concentration, establish continuous concentration curve and compute some intermediate variables such as the mean transmission time (MTT) and the initial blood ICG concentration (c(t0)). Accordingly Cardiac Output (CO) and Circulating Blood Volume (CBV) could be calculated. Compared with the clinical "gold standard" methods of thermodilution and I-131 isotope-labelling method to measure the two parameters by clinical controlled trials, ten sets of data were obtained. The maximum relative errors of this method were 8.88% and 4.28% respectively, and both of the average relative errors were below 5%. The result indicates that this method can meet the clinical accuracy requirement and can be used as a noninvasive, repeatable and applied solution for clinical hemodynamnic parameters measurement.

A new triterpenoid saponin from Clinopodium chinense (Benth.) O. Kuntze.

A new triterpene saponin, 3ß,16ß,23α,28ß,30ß-pentahydroxyl-olean-11,13(18)-dien-3ß-yl-[ß-D-glucopyranosyl-(1→2)]-[ß-D-glucopyranosyl-(1→3)]-ß-D-fucopyranoside, was named Clinoposaponin D (1), together with six known triterpene saponins, buddlejasaponin IVb (2), buddlejasaponin IVa (3), buddlejasaponin IV (4), clinopodisides D (5), 11α,16ß,23,28-Tetrahydroxyolean-12-en-3ß-yl-[ß-D-glucopyranosyl-(1→2)]-[ß-D-glucopyranosyl-(1→3)]-ß-D-fucopyranoside (6) and prosaikogenin A (7), and two known triterpenes, saikogenin A (8) and saikogenin F (9) were isolated from Clinopodium chinense (Benth.) O. Kuntze. Their structures were elucidated on the basis of 1D, 2D NMR and MS analysis. Meanwhile, the effects of all compounds on rabbit platelet aggregation and thrombin time (TT) were investigated in vitro. Compounds 4 and 7 had significant promoting effects on platelet aggregation with EC50 value at 53.4 and 12.2 µM, respectively. In addition, the highest concentration (200 µM) of compounds 2 and 9 shortened TT by 20.6 and 25.1%, respectively.

[Fingerprint of Dazhu Hongjingtian capsule by HPLC-DAD-QTOF-MS].

A method was established to analyze the fingerprint of Dazhu Hongjingtian capsule by HPLC-DAD.The separation was performed on Agilent Eclipse Plus-C18(4.6 mm×250 mm, 5 µm) with methanol-0.1% formic acid solution as the mobile phase for gradient elution at a flow rate of 1.0 mL•min⁻¹; the detection wavelength was set at 276 nm and column temperature was set at 35 ℃. A total of 10 batches of samples were detected by the above method, and based on their fingerprint by using Similarity Evaluation System for Chromatographic Fingerprint of TCM (2004A), 21 common chromatographic peaks were determined and after the individual common peak whose peak area was greater than 50% of the total peak area was deducted, the similarity results of these samples were analyzed and compared. The results showed that the similarity of 10 batches of samples was all higher than 0.940. HPLC/Q-TOF-MS was used to identify the common chromatographic peaks in the fingerprint and determine the molecular formulas of twenty-one common chromatographic peaks. The structures of 11 fingerprint peaks were tentatively identified based on the control products and mass spectrometry information. This was the first time to establish fingerprint by using HPLC method and identify fingerprint peaks by using HPLC/Q-TOF-MS. This method has good precision, stability and repeatability, and could provide basis for quality evaluation of Dazhu Hongjingtian capsule.

[A Measurement Method for the Hepatic Functional Reserves Anti Oxygen Fluctuations].

Hepatic functional reserves parameters are the key indictors to assess if the hepatic metabolic function is normal, they are also the important basis to a successful hepatectomy. Currently clinical hepatic functional reserves parameters are achieved through Indocyanine Green (ICG) concentration measurement in the method of pulse dye spectrophotometry, with the assumption that blood oxygen saturation is 100%, this hypothetical bias leads to an error in the calculated value of the hepatic functional reserves parameters. In order to solve this problem, hepatic functional reserves parameters measurement that resist fluctuation from blood is presented. The method is based on the modified Lambert Beer's law and realize the correction of ICG concentration measurement in the method of pulse dye spectrophotometry. While the ICG is injected into the patient's body by the cubital veins, using the data acquisition unit that developed by project team to collect 805 nm, 940 nm wavelengths of transmission signals and 730 nm, 805 nm and 890 nm wavelengths of reflected signals in the fingertip skin synchronously, and then upload 5 sets of data to the computer. Draw the ICG concentration curve according the collected data and blood oxygen saturation before injecting ICG to the human body and then calculate the characteristic parameters, according to the characteristic parameters calculate the hepatic reserves functional parameters. Taking the measurement of effective hepatic blood flow as an example, the relative error was obviously decreased when comparing this method and the pulse dye concentration method with the electromagnetic flowmeter (EMF) measurement which is the most accurate method to measure effective hepatic blood flow (EHBF) respectively. The results demonstrate that this method can improve the accuracy of hepatic reserves parameters, and it can also provide a more accurate detection method of hepatic functional reserves parameters for clinical application.

[EEMD-ICA Applied in Signal Extraction in Functional Near-Infrared Spectroscopy].

Currently, functional near-infrared spectroscopy (fNIRS) is widely used in the field of Neuroimaging. To solve the signal-noise frequency spectrum aliasing in non-linear and non-stationary fNIRS characteristic signal extraction, a new joint multi-resolution algorithm, EEMD-ICA, is proposed based on combining Independent Component Analysis with Ensemble Empirical Mode Decomposing. After functional brain imaging instrument detected the multi-channel and multi-wavelength NIR optical density signals, EEMD was performed to decompose measurement signals into multiple intrinsic mode function according to the signal frequency component. Then ICA was applied to extract the interest data from IMFs into ICs. Finally, reconstructed signals were obtained by accumulating the ICs set. EEMD-ICA was applied in de-noising Valsalva test signals which were considered as original signals and compared with Empirical Mode Decomposing and Ensemble Empirical Mode Decomposing to illustrate validity of this algorithm. It is proved that useful information loss during de-noising and invalidity of noise elimination are completely solved by EEMD-ICA. This algorithm is more optimized than other two de-noising methods in error parameters and signal-noise-ratio analysis.

[A dye densitometry analysis method for noninvasive measurement of cardiac output based on NIRS].

Currently, there exist technology problems in cardiac output (CO) parameter detection clinically, such as invasive and complex operation, as well as possibility of infection and death for patients. In order to solve these problems, a noninvasive and continuous method based on NIRS for CO detection was presented. In this way, the concentration changing of indocyanine green (ICG) dye in the patient's arterial blood was dynamically measured and analyzed, so that the CO could be noninvasively and continuously measured according to the characteristic parameters of dye densitometry curve. While the ICG dye was injected into the patient's body by the median cubital vein, block of photoelectric pulse dye densitometry measurement system as the lower machine acquired pulse wave data and uploaded the data to upper computer. In the scheme, two specialized light sources of LED at 940 and 805 nm were used to capture the signals of sufferer's fingertip pulse wave synchronously and successively. The CO value could then be successfully calculated through drawing complete ICG concentration variation of dye dilution and excretion process and computing mean transmission time (MTT) by upper computer. Compared with the "gold standard" method of thermodilution, the maximum relative error of this method was below 9. 76%, and the mean relative error was below 4. 39%. The result indicates that the method can be used as a kind of convenient operation, noninvasive and continuous solution for clinical CO measurement.

Real-time monitoring of rare circulating hepatocellular carcinoma cells in an orthotopic model by in vivo flow cytometry assesses resection on metastasis.

The fate of circulating tumor cells (CTC) is an important determinant of metastasis and recurrence, which leads to most deaths in hepatocellular carcinoma (HCC). Therefore, quantification of CTCs proves to be an emerging tool for diagnosing, stratifying, and monitoring patients with metastatic diseases. In vivo flow cytometry has the capability to monitor the dynamics of fluorescently labeled CTCs continuously and noninvasively. Here, we combine in vivo flow cytometry technique and a GFP-transfected HCC orthotopic metastatic tumor model to monitor CTC dynamics. Our in vivo flow cytometry has approximately 1.8-fold higher sensitivity than whole blood analysis by conventional flow cytometry. We found a significant difference in CTC dynamics between orthotopic and subcutaneous tumor models. We also investigated whether liver resection promotes or restricts hematogenous metastasis in advanced HCC. Our results show that the number of CTCs and early metastases decreases significantly after the resection. The resection prominently restricts hematogenous metastasis and distant metastases. CTC dynamics is correlated with tumor growth in our orthotopic tumor model. The number and size of distant metastases correspond to CTC dynamics. The novel in vivo flow cytometry technique combined with orthotopic tumor models might provide insights to tumor hematogenous metastasis and guidance to cancer therapy.

[Treatment of benign bone tumor in extremities of children by subperiosteal free fibula graft].

OBJECTIVE: To investigate the way to reconstruct bone scaffold after removal of giant benign bone tumor in extremities of children. METHODS: From June 1995 to October 2000, 6 cases of benign bone tumor were treated, aged 6-14 years. Of 6 cases, there were 4 cases of fibrous hyperplasia of bone, 1 case of aneurysmal bone cyst and 1 case of bone cyst; these tumors were located in humerus (2 cases), in radius (1 case), in femur (2 cases) and in tibia (1 case), respectively. All patients were given excision of subperiosteal affected bone fragment, autograft of subperiosteal free fibula(4-14 cm in length) and continuous suture of in situ periosteum; only in 2 cases, humerus was fixed with single Kirschner wire and external fixation of plaster. RESULTS: After followed up 18-78 months, all patients achieved bony union without tumor relapse. Fibula defect was repaired, and the function of ankle joint returned normal. CONCLUSION: Autograft of subperiosteal free fibula is an optimal method to reconstruct bone scaffold after excision of giant benign bone tumor in extremities of children.