Cardioprotective effects of Dan-Yang-Fu-Xin decoction on chronic heart failure in rats

Purpose: To evaluate the cardioprotective effects and possible mechanisms of Dan-Yang-Fu-Xin decoction (DYFX) in a rat chronic heart failure (CHF). Methods: A CHF rat model induced by ligation of the left anterior descending coronary artery was used to investigate the cardioprotective effects of DYFX. After intragastric administration for 8 weeks, several functional cardiac indices, including fractional shortening (FS), ejection fraction (EF), heart rate (HR) and cardiac output (CO) were assessed by ultrasound examination. Subsequently, inflammatory markers, viz, interleukin-6 (IL-6) and tumor necrosis factor-α (TNF-α), myocardial enzymes, namely, lactate dehydrogenase (LDH) and creatine kinase (CK), were also assessed by enzyme-linked immunosorbent assay (ELISA). Results: Intragastric administration of DYFX (200, 400 and 600 mg/kg) significantly reversed the decrease in body weight and increase in cardiac weight (p < 0.05) induced by CHF. Treatment with DYFX also significantly reversed EF, FS, HR, and CO changes in CHF rats. In addition, DYFX inhibited the two inflammatory cytokines (TNF-α and IL-6) and myocardial enzymes (CK and LDH), suggesting that these effects may include the mechanisms of cardioprotectiion involved in attenuation of CHF. Conclusion: DYFX possesses cardioprotective effects involving CHF. The protective mechanisms may include the suppression of expression of inflammatory mediators and myocardial enzymes.

Stress in pacu exposed to ammonia in water

The present study evaluated stress indicators in pacu exposed to ammonia in water under the following conditions: without NH4Cl (0.00 g/L); with 0.0078 g NH4Cl/L; and with 0.078 g NH4Cl/L (pH 8.3 and 27 ºC). After the salt dilution the water flow was interrupted and reestablished in 24 hours. Sampling occurred prior to the addition of NH4Cl (control) and after 12, 24 and 48 hours. Glycaemia increased only in fish with the highest salt concentration when compared with group control, regardless of time, and at 24 hours, regardless of treatment. Plasma ammonia, highest in fish exposed to the highest NH4Cl concentration, decreased progressively up to 48 hours. Plasma chloride only decreased in fish not exposed to salt when compared with control and osmolality increased after 24 hours. Hematocrit (Ht), number and volume of erythrocytes and hemoglobin did not change when NH4Cl was added; Ht decrease was reported after 12 hours, but it was not followed by the other blood parameters. The results show tolerance of the pacu to ammonia in the environment.

Perturbative Ward identities for Yang-Mills field theory stochastically quantized

%'e compute the divergent part of the three-point vertex function of the non-Abelian Yang-Mills gauge field theory within the stochastic quantization approach to the one-loop order. This calculation allows us to find four renormalization constants which, together with the four previously obtained, verify, to the calculated order, some Ward identities.

Cross-correlations between weather variables in Australia

The information on climate variations is essential for the research of many subjects, such as the performance of buildings and agricultural production. However, recorded meteorological data are often incomplete. There may be a limited number of locations recorded, while the number of recorded climatic variables and the time intervals can also be inadequate. Therefore, the hourly data of key weather parameters as required by many building simulation programmes are typically not readily available. To overcome this gap in measured information, several empirical methods and weather data generators have been developed. They generally employ statistical analysis techniques to model the variations of individual climatic variables, while the possible interactions between different weather parameters are largely ignored. Based on a statistical analysis of 10 years historical hourly climatic data over all capital cities in Australia, this paper reports on the finding of strong correlations between several specific weather variables. It is found that there are strong linear correlations between the hourly variations of global solar irradiation (GSI) and dry bulb temperature (DBT), and between the hourly variations of DBT and relative humidity (RH). With an increase in GSI, DBT would generally increase, while the RH tends to decrease. However, no such a clear correlation can be found between the DBT and atmospheric pressure (P), and between the DBT and wind speed. These findings will be useful for the research and practice in building performance simulation.