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Aconiti kusnezoffii Radix (Caowu), a traditional Chinese medicine and Mongolian medicine, has been commonly used owing to its analgesic and anti-inflammatory effects. Here, we performed a qualitative analysis of aconite alkaloids (AAs) in raw and processed Aconiti kusnezoffii Radix by ultra-high-performance liquid chromatography (HPLC) electrospray ionization-tandem mass spectrometry. Furthermore, we quantified benzoylaconine, benzoylmesaconine, benzoylhypaconine, aconitine, mesaconitine, and hypaconitine in raw and processed Aconiti kusnezoffii Radix using a HPLC system coupled with a diode array detector. The analysis of AA fragmentation patterns in positive electrospray ionization mode revealed 155 AAs, including 6 with unambiguous identities, 109 with putative assignments, and 40 unknown compounds. Additionally, lipopolysaccharide-treated RAW264.7 macrophages were used to evaluate the anti-inflammatory properties of the alkaloid extracts of Aconiti kusnezoffii Radix. Importantly, alkaloid extracts of Aconiti kusnezoffii Radix at three different concentrations exhibited protective effect against lipopolysaccharide-induced inflammation. Thus, the proposed method can be used not only for the qualitative and quantitative analyses of Aconiti kusnezoffii Radix, but also for evaluating other Aconitum spp. Our study lays a foundation for the clinical application of poisonous Aconitum.

Objective To construct a prediction model based on metabolic profiling for predicting the response to cardiac resynchronization therapy (CRT). Methods Peripheral venous (PV) and coronary sinus (CS) blood samples were collected from 25 patients with heart failure (HF) at the time of CRT implantation, and PV blood samples were obtained from ten healthy controls. The serum samples were analyzed by liquid chromatography-mass spectrometry (LC-MS). As per the clinical and echocardiographic assessment at the 6-month follow-up, the HF patients were categorized as CRT responders and non-responders. Results HF patients had altered serum metabolomic profiles that were significantly different from those of the healthy controls. Differential metabolites were also observed between CRT responders and non-responders. A prediction model for CRT response (CRT-Re) was constructed using the concentration levels of the differential metabolites, L-arginine and taurine. The optimal cutoff value of the CRT-Re model was found to be 0.343 by ROC analysis (sensitivity, 88.2%; specificity, 87.5%; Area under curve (AUC) = 0.897, P = 0.002). The concentration levels of the differential metabolites, L-arginine and lysyl-gamma-glutamate, in PV serum were significantly correlated with that in CS serum (r = 0.945 and 0.680, respectively, all P < 0.001). Conclusions Our results suggest that serum-based metabolic profiling may be a potential complementary screening tool for predicting the outcome of CRT.

A smart meter was designed with power line communication (PLC) function. We designed the optimized power carrier module by adding a switching circuit that controlled by a microcontroller in coupling circuit on the basis of common design. Improved its communication efficiency and reduced energy consumption. Energy metering module used C8051F360 microcontroller as the main control chip and used high accurate metering chip ATT7022B to collect electronic signal. We designed a multifunctional and easy-to-use intelligent man-machine interface by using Beijing DWIN Company’s industrial serial LCD touch screen.

The purpose of this study was to develop a novel method to precisely measure the arc length of curving skeleton. We developed a formula by using differential equation and the arc length of bending bones can be calculated according to the chord length and height. With this method, we measured the coronal arc length of parietal bones in fetus. Our results showed that the arc length calculated using the formula was not significantly different from those obtained by manual measurements (P>0.05). We concluded that this method was simple, precise and can be used to measure the ossification length of any fetus parietal bones with less than 180o curvature or the arc length of bones in other parts of humans.

According to the wavelet-neural network algorithm of relay protection device has the characteristics of requirement of high sampling frequency and large amount of data calculation, we use FPGA to realize the algorithm in hardware. A system model is built and converted into VHDL code through the system-level digital signal processing development tool named DSP Builder from Altera Company. We verified the correctness and feasibility of the method by the timing simulation diagram get from Modelsim SE software. This paper implemented protection method of the wavelet transform and neural network with hardware, and completed a series of research work in the field of transformer differential protection.

Pathological cardiac hypertrophy induced by angiotensin II (AngII) can subsequently give rise to heart failure, a leading cause of mortality. Nardosinone is a pharmacologically active compound extracted from the roots of Nardostachys chinensis, a well-known traditional Chinese medicine. In order to investigate the effects of nardosinone on AngII-induced cardiac cell hypertrophy and the related mechanisms, the myoblast cell line H9c2, derived from embryonic rat heart, was treated with nardosinone (25, 50, 100, and 200 μmol/L) or AngII (1 μmol/L). Then cell surface area and mRNA expression of classical markers of hypertrophy were detected. The related protein levels in PI3K/Akt/mTOR and MEK/ERK signaling pathways were examined by Western blotting. It was found that pretreatment with nardosinone could significantly inhibit the enlargement of cell surface area induced by AngII. The mRNA expression of ANP, BNP and β-MHC was obviously elevated in AngII-treated H9c2 cells, which could be effectively blocked by nardosinone at the concentration of 100 μmol/L. Further study revealed that the protective effects of nardosinone might be mediated by repressing the phosphorylation of related proteins in PI3K/Akt and MEK/ERK signaling pathways. It was suggested that the inhibitory effect of nardosinone on Ang II-induced hypertrophy in H9c2 cells might be mediated by targeting PI3K/Akt and MEK/ERK signaling pathways.