In order to understand the management measures,technique abilities and difficulties in controlling and eradicating avian diseases in parent breeding flocks,the current situation of avian disease eradication in breeding flocks was investigated by China Animal Disease Control Centre in 19 provinces in July 2015.Questionnaires investigation was conducted and the feedbacks were received from 214 parent breeding flocks.This study summarized and analyzed the information of farm management,breeding resources,avian disease surveillance and disease eradication in these flocks,which will provide the basic data to promote the avian diseases control and eradication in China.

Introduction: Height and weight measurements are required for the assessment of nutritional status. However, it is difficult to measure these parameters in nonambulatory persons. Hence, simple predictive equations that estimate these measurements using various anthropometric measurements are necessary. Methods: A total of 441 Asian-Chinese adults (174 males, median age = 32.5, IQR: 27.8 years; 267 females, median age = 34.6, IQR: 28.5 years) were used to build height and weight sex-specific prediction equations. An additional 111 Asian- Chinese adults (44 males, median age = 31.1, IQR: 25.0 years; 67 females, median age = 30.6, IQR: 25.6 years) were used to validate the newly developed prediction equations. Results: The best predictive model for height included arm length, knee height measurements and age (R2 = 0.70, standard error of estimate [SEE] = 3.38 for males; R2 = 0.71, SEE = 3.14 for females). The best weight predictive model included age, arm circumference and waist circumference (R2 = 0.79, SEE = 4.66 for males; R2 = 0.78, SEE = 4.38 for females). The new predictive models for height and weight have non-significant prediction biases as compared to the Cereda et al. (2010) and Ross equations, respectively. Conclusion: Height and weight predictive equations with a higher degree of accuracy have been developed for Asian Chinese adults.

Introduction: This study looked at the fatty acid composition changes in potato fries fried in three different types of oils, namely soybean oil (SO), canola oil (CO), and a 1:1 blend of soybean oil and canola oil (SCO), throughout an intermittent frying process of 80 batches in five consecutive days. The study also examined the fatty acid composition changes in SO, CO and SCO during the frying process. Methods: Fat from potato fries (extracted by Soxtec system) and oil samples from the corresponding frying oil were analysed by gas chromatography-mass spectrometer (GC-MS) to examine the fatty acid profile changes during the deep-frying process. Results: Linoleic acid (LA) and a-linolenic acid (ALA) in all three oils decreased, while oleic acid (C18:1), stearic acid (C18:0), palmitic acid (C16:0) and octanoic acid (C8:0) increased. Formation of C18:1 trans fatty acid was observed as the frying time increased. The fatty acid composition of the potato fries was consistent with the fatty acid composition of the corresponding frying oils. Conclusion: Our results showed that blending soybean oil and canola oil did not significantly improve the frying stability of the resulting oil in terms of fatty acid profile. Due to the formation of trans fatty acids and the decrease in polyunsaturated fatty acids, our study also recommends not to use the same frying oil repeatedly and not to consume food products cooked in reused oil.

Overuse of antibiotics in aquaculture, husbandry and healthcare has led to antibiotics residues in the enviuronment and the generation of antibiotic resistant bacteria that can be transferred into the human gut through food chain. Based on literatures, we reviewed the influence of bacterial resistance on intestinal flora and related immune regulation. Taking the source of antibiotic resistance to human intestinal flora as an entry point, we addressed the structure of human intestinal flora and the composition of drug resistance genes after exposure to pollutants. Moreover, we discussed the relationship among changes of intestinal flora, antibiotic resistance genes and immunomodulation related diseases. Last, we also indicated future research needs.

, a widely used Chinese herbal medicine, was considered as central nervous system (CNS) drug for years. Both ethanol extracts (EES) and water extracts (WES) of it were applied clinically. Unfortunately, the difference of their efficacy and even effective material foundation of remains obscure. In this study, to explore the active constituents of , we compared pharmacodynamics and chemical profiles / of EES/WES for the first time using multiple chemical analysis, pharmacological and data processing approaches. It was proved that there was no significant difference in the anti-depressive effects between WES and EES. However, the contents of most components and in plasma were higher in EES than those in WES, which was unconvincing for their similar efficacy. Therefore, we further explored components of targeted onto brain and the results showed that 5 lignans were identified with definite absorptivity respectively both in EES and WES caused by the limitation of blood-brain barrier. Moreover, bioinformatic analysis predicted their anti-depressive action. Above all, the systematic strategy screened 5 brain-targeted effective substances of and it was suggested that exploring the components into nidi would promote the studies on herbs effective material basis.