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Wu, Hongzhi,Sun, Hao,Ma, Chengzhan,Lian, Lina,Lu, Lei,Xu, Liangmei,Xu, Li Asian Australasian Association of Animal Productio 2021 Animal Bioscience Vol.34 No.11
Objective: The effects of maternal dietary energy levels on breast muscle fibre development in offspring of broiler breeders were investigated. Methods: A total of 480 20-week-old Arbor Acres (AA) healthy female broiler breeders, with an average body weight of 2.33±0.01 kg, were randomly divided into 4 treatment groups with 6 replicates and 20 broiler breeders for each replicate and fed a corn and soybean meal diet with 100%, 80%, 70%, and 50% energy levels, respectively. Approximately 300 eggs per treatment were collected for incubation for 6 days. Then, 120 0-day-old female broilers at each energy level were randomly selected and divided into 6 replicates with 20 broilers for each replicate, with this experimental phase with the offspring lasting for 49 days. Results: Compared with the 100% energy group, the breast muscle fibre diameter at embryonic day 21 in the 80% energy group was significantly reduced (p<0.05). In the 80% energy group, the muscle fibre density of the breast increased significantly (p<0.05) at embryonic days 15 and 21. The breast muscle fibre diameter of the offspring in each group was significantly decreased (p<0.05) on the 1st day. The breast muscle sarcomere length of the embryos in the 80% energy group was significantly higher (p<0.05) than those in the 70% and 50% energy groups. Compared with the 100% energy group, the expression of the myostatin gene in the offspring was significantly decreased (p<0.05). Conclusion: In conclusion, the effects of a maternal dietary energy level of 80% in this study were found to be optimal for breast muscle fibre development in offspring, which indicated that the metabolic energy level of AA broilers of 9.36 MJ/kg for the mid-term diet for laying eggs has a more practical significance.
Min Huang,Xinya Zhao,Hongzhi Xu,Suqing Liu,Zie Wang,Xiaohui Sui,Jing Li 대한진단검사의학회 2017 Annals of Laboratory Medicine Vol.37 No.5
Dear Editor, Determination of the percentage of blasts in the bone marrow (BM) is one of the critical factors in diagnosing MDS. Flow cytometry (FCM) of BM cells has been introduced as an important co-criterion for diagnosing MDS [1-3]. However, FCM has not been well accepted because of the lack of consensus of the criteria to define a phenotypic myeloblast and the appropriate denominator for calculation. Moreover, BM samples contain variable amounts of peripheral blood mixed with immature cells, thereby complicating interpretation. The present study was designed to choose reagent combinations to identify blasts by FCM in MDS patients, to determine which cell mass as the denominator in the process of counting the percentages of blasts, and to reveal whether the aspirates with high proportions of mature neutrophils should be normalized based on the proportion of dim CD16 maturing myeloid cells.
Tianyan Liu,Xiangyang Xu,Minghui Zhang,Runbo Zhang,Yue Wu,Hongzhi Ji,Yanfang Liu 대한기계학회 2023 JOURNAL OF MECHANICAL SCIENCE AND TECHNOLOGY Vol.37 No.7
Under the engaging process, excessive temperature of clutch plates may lead to thermal failure. Existing research has failed to find the hot spot and the radial temperature difference real-timely. They also neglected the influence of dynamic sliding process and hydraulic characteristics. Thus, a multi-domain dynamic model of the whole clutch was proposed, involving the mechanical dynamics, the hydraulic dynamics and thermics. With the thermal resistance network method, the real-time axial and radial temperature prediction of clutch plates was realized. The highest temperature occurs on the friction pairs of axial middle and the maximum value occurs on the radial 5th mass. Compared with the results by FEM, the deviation is about 6.5 %, but the time duration is reduced significantly. Furthermore, the influence of the outer hub vibration (160 Hz, 0.2 Hz) on the dynamic characteristics was discussed. This work was tested to be an effective and good basis for the health prediction of wet clutches.