摘要：Drug resistance is one of the major obstacles in the drug therapy of *** in this area in pre-clinical research have focused on developing novel platforms to evaluate and decrease drug *** this paper,inspired by the structure of hives where swarms live and breed,we propose porous hydrogel arrays with a uniform pore structure for the generation of hepatoma cell spheroids and the investigation of drug *** porous hydrogel arrays were fabricated using polyeth-ylene glycol diacrylate(PEGDA)hydrogel to negatively replicate a well-designed *** from the elaborate processing of the template,the prepared porous hydrogel arrays possessed a uniform pore *** to their anti-adhesion properties and the excellent biocompatibility of the PEGDA hydrogel,the hepatoma cells could form well-defined and uni-form hepatoma cell spheroids in the porous hydrogel *** found that the resistant hepatoma cell spheroids showed more significant Lenvatinib resistance and a migratory phenotype compared with a two-dimensional(2D)cell culture,which reveals the reason for the failure of most 2D cell-selected drugs for in vivo *** features give such porous hydrogel arrays promising application prospects in the investigation of tumor cell spheroid culture and in vitro drug resistance.

摘要：为探讨饲粮蛋白质水平和枯草芽孢杆菌制剂对大骨鸡生产性能、蛋品质、养分表观代谢率及血清生化指标的影响,试验选取38周大骨鸡576只,采用3×2双因子完全随机试验设计:PL0(蛋白质15.33%+枯草芽孢杆菌0 mg/kg);PM0(蛋白质15.90%+枯草芽孢杆菌0 mg/kg);PH0(蛋白质16.50%+枯草芽孢杆菌0 mg/kg);PL1(蛋白质15.33%+枯草芽孢杆菌200 mg/kg);PM1(蛋白质15.90%+枯草芽孢杆菌200 mg/kg);PH1(蛋白质16.50%+枯草芽孢杆菌200 mg/kg)。结果表明:与饲粮蛋白质15.33%组相比,15.90%和16.50%组大骨鸡的产蛋率提高了2.64%和3.28%;平均蛋重、平均总蛋重、蛋白高度、表观代谢能、干物质和粗蛋白质表观代谢率显著提高(P0.05)。综合各项指标得出,蛋白质水平为15.90%较适宜大骨鸡种母鸡的生产需要,枯草芽孢杆菌制剂可以提高大骨鸡鸡蛋品质和养分代谢率。

摘要：目前我国油气勘探开发的主要目标在逐步转向碳酸盐岩油气资源和页岩油气资源,而碳酸盐岩储层以缝洞型为主,对野外露头地层剖面的裂缝提取能够为缝洞型储层研究提供直观、形象的结果。最常见的传统露头裂缝研究是耗时耗力的人工解译,为此提出基于深度学习的露头地层剖面裂缝智能化提取技术:在Mask R-CNN算法的基础上结合在线增广策略和注意力机制实现裂缝的自动化提取。为了证明Mask R-CNN改进算法对错误标签的容错能力,设计了含有不同程度错误标签的训练集对比实验,结果表明,当错误标签占比达到30%时模型精度下降较大;接着通过消融实验定量分析不同的改进算法对精度的提高程度;然后以人工提取结果为参照,与大津法(OTSU)、区域生长算法、UNet算法、DeepLabv3+算法等进行精度对比评价,结果表明,改进的Mask R-CNN裂缝识别方法提取的裂缝线性特征更准确完整,且正确率在97%以上,高于其它对比算法,验证了该方法的有效性;最后将改进的Mask R-CNN裂缝识别方法应用于四川盆地西南部峨边先锋地区野外露头地层剖面的裂缝提取,并对裂缝长度、密度、倾向和间距参数进行统计分析,定量分析裂缝分布特征,验证了该方法的可行性。本研究为加快石油勘探综合研究和目标精细评价,储层预测和露头地层剖面参数表征的自动化发展提供了依据。