Antitumor effect of heat-killed lactobacilli adhered to cervical carcinoma cells

AIM: To observe the immune property of cervical carcinoma and antitumour effect of heat-killed lactobacilli adhered to HeLa cells. METHODS: Flow cytometry was used to analyze the expression of immune molecules on HeLa cells after adhered with heat-killed lactobacilli. MTT was used to analyze the cytotoxity of lymphocytes on cervical carcinoma cells. RESULTS: Adherence of heat-killed lactobacilli to HeLa cells did not affect the expression of MHC-I molecules (P>0.05), but enhanced the expression of CD80, CD86 significantly (P<0.05) in HeLa cells. Adherence of heat-killed lactobacilli to HeLa cells also enhanced the cytotoxity of NK cells. Compared to control, the cytotoxity of CTL to HeLa carcinoma cells was significantly enhanced by the adherence of heat-killed lactobacilli to HeLa cells (P<0.05). CONCLUSION: Heat-killed lactobacilli strengthen the antitumor effect on HeLa cells.     

Expression of tissue factor,tissue factor pathway inhibitor in the atherosclerotic plaque on femoral artery of New Zealand rabbits

AIM: To observe the regulatory changes of tissue factor (TF),tissue factor pathway inhibitor-1 (TFPI-1) and tissue factor pathway inhibitor-2 (TFPI-2) associated with the formation of atherosclerotic plaque on femoral artery of New Zealand rabbits.METHODS: New Zealand rabbits were fed with high cholesterol diet and received femoral artery balloon injury to establish moderated atherosclerotic plaque animal model.These rabbits were classified into 8 weeks group,10 weeks group and 12 weeks group.The expressions of factor TF,TFPI-1 and TFPI-2 in femoral artery were detected by immunohistochemical methods at 8th,10th and 12th week.The positive areas of the slice were analyzed by semi-quantification system.Fluorescence quantification PCR (FQ-PCR) was used to detect the copies of mRNA of TF,TFPI-1 and TFPI-2 in each group.RESULTS: The expressions of TF,TFPI-1 and TFPI-2 determined by immunohistochemical methods were increased from 8th,10th to 12th week,respectively.In each group,the quantity of mRNA of TF and TFPI-1 at the 8th,10th and 12th week was soared,respectively.In each group,the quantity of mRNA of TFPI-2 did not change in early phase,but decreased at 12th week.CONCLUSION: In the process of the atherosclerotic plaque formation in rabbit femoral artery model,the expressions of TFPI-1 and TFPI-2 proteins are increased.However,the expression of TPFI-1 or TFPI-2 could not stave off the development of plaque formation.     

开阔型港湾紫菜埕地轮养菲律宾蛤仔的研究

利用开阔型港湾紫菜养殖埕地空闲季节，进行小型试验并指标大面积轮养菲律宾蛤仔，选择含沙星８０％－９０％的沙泥稳定底质，海水比重１．０１６－１．０２２，大潮干露２－４小时，流速８０－１００厘米／秒，饵料丰富的海区，１－２月份播种壳长２．０－２．２厘米的一龄大蛤苗，密度１０００个／米＾２。     

2022年夏季汉江中下游水华生消驱动因子及其贡献率量化研究

2022年夏季，长江流域遭遇了罕见的“汛期反枯”极端水文事件，在此期间，汉江中下游首次发现了蓝藻水华。本研究选取叶绿素a浓度作为衡量水华的关键指标，基于偏最小二乘回归（Partial least squares regression，PLSR）量化了不同环境因子对2022年夏季汉江中下游（仙桃、宗关断面）水华生消的贡献率。结果表明：（1）仙桃和宗关断面叶绿素a浓度与溶解氧、pH值和水温均呈现出显著的正相关关系。溶解氧、pH值和水温对2022年夏季汉江中下游水华生消的贡献程度最高，三者对仙桃和宗关断面水华生消的贡献率分别为15.18%、13.68%、14.50%和18.06%、15.93%、15.65%。（2）基于偏最小二乘路径模型（Partial Least Squares Path Modeling，PLS-PM），本研究进一步解析了各环境因子对叶绿素a浓度变化的影响路径。结果表明气象因子是2022年夏季汉江中下游蓝藻水华暴发的诱导因子，高温无雨的极端天气导致水温和pH上升，加速了藻类的代谢反应速率。同时，河道流量减小延长了有机物和营养盐的传输和滞留时间，为藻类生长提供了稳定的营养条件。并且水华“萌发”时段可能与汉江中下游“涝旱急转”时段重叠。因此，本文建议下一步研究应结合准确的中长期气象预报信息，在“涝旱急转”时段实时优化汉江中下游水华防控调度的下泄流量与下泄时机，这将有可能大大提高水华防控的效率和效果。     

Genetics and Expression of the Brown Lint Gene in Colored Cotton

The major cotton grown commercially in the world is white lint,but recently many people prefer to have garments made by natural colored cotton.This can be used directly in textile industries,avoiding the complicated and unsafe processes of bleaching and dying,and thus it is eco-friendly.     

基于“三网合一”的基层农户信息服务软件的研制

本软件综合运用各种最新的信息技术以及主动式网关技术，将无线通讯网、固定电话网和互联网络连接在一起，实现信息的无缝跨接，拓宽了互联网络上应用系统的服务范围。农业专家或农技推广员利、用本软件可以更加方便、快捷地为基层农户提供信息服务，有效的解决了基层农户信息传递的“最后一公里问题”。     

遗传算法及其在渔饲料配方中的应用

首先阐述了参数编码、初始群体、适应度函数、遗传操作以及算法控制参数等遗传算法基本原理,然后着重介绍其在渔饲料配方中的应用,在该应用中采用了实数编码、基于线性排名的选择、算术杂交和非一致变异等遗传算法方法。结果表明,在渔饲料配方优化中应用遗传算法要优于目前饲料配方软件中大多采用的常规应用数学的优化方法。主要体现在单位产量饲料配方中的成本价格前者要低于后者。由于遗传算法能够解决因子较多,非线性程度高的问题,从而得出的饲料配方能更好的符合相关鱼种的营养含量标准。