目的探究磷脂酰肌醇3-激酶(phosphoinositide 3-kinase,PI3K)/蛋白激酶B(protein kinase B,AKT)/哺乳动物雷帕霉素靶蛋白(mammalian target of rapamycin,mTOR)信号通路及其相关的细胞凋亡因子在缺血性脑卒中相关的神经元凋亡中的作用,为缺血性脑卒中的防治提供新的靶点。方法2023年1月—2024年5月,齐齐哈尔中心实验室购买HFK生物技术有限公司(北京,中国)的C57/B6L雄性小鼠20只,按随机数字表法分研究组和对照组,每组10只。构建体内大脑中动脉阻塞再灌注模型,提取脑组织,HE染色明确组织损伤严重程度。通过蛋白免疫印迹实验等检测细胞凋亡通路的相关因子。结果蛋白印迹实验的结果显示,研究组的PI3K、Akt、mTOR的表达分别为(0.75±0.03)mol/L、(0.65±0.35)mol/L、(0.65±0.39)mol/L,高于对照组的(0.27±0.06)mol/L、(0.38±0.36)mol/L、(0.47±0.76)mol/L;研究组的线粒体核糖体蛋白S9(mitochondrial ribosomal protein S9,MRPS9)表达为(0.14±0.08)mol/L,低于对照组的(0.50±0.10)mol/L,差异有统计学意义(t=41.355、48.614、43.587、32.561,P均<0.05);研究组Bax、caspase3的基因表达高于对照组,Bcl-2基因表达低于对照组,差异有统计学意义(P均<0.05)。实时荧光定量聚合酶链式反应的结果显示,研究组PI3K、Akt、mTOR的表达高于对照组,MRPS9的表达低于对照组,研究组Bax、caspase3的基因表达高于对照组,研究组Bcl-2基因表达低于对照组,差异有统计学意义(P均<0.05)。结论PI3K/Akt/mTOR参与神经细胞凋亡过程,在缺血性脑卒中的发展中发挥重要作用。
Penetration testing plays a critical role in ensuring security in an increasingly interconnected world. Despite advancements in technology leading to smaller, more portable devices, penetration testing remains reliant on traditional laptops and computers, which, while portable, lack true ultra-portability. This paper explores the potential impact of developing a dedicated, ultra-portable, low-cost device for on-the-go penetration testing. Such a device could replicate the core functionalities of advanced penetration testing tools, including those found in Kali Linux, within a compact form factor that fits easily into a pocket. By offering the convenience and portability akin to a smartphone, this innovative device could redefine the way penetration testers operate, enabling them to carry essential tools wherever they go and ensuring they are always prepared to conduct security assessments efficiently. This approach aims to revolutionize penetration testing by merging high functionality with unparalleled portability.
针对目前矿石检测技术准确性不高、效率低、实时性差以及环境适应性弱等问题,提出了一种基于香橙派的矿石识别系统。该系统利用高清摄像头实时捕获矿石图像,并通过香橙派Orange Pi 5B开发板搭载YOLOv4-tiny-tf2模型处理图像数据,实现矿石种类的高效准确识别。结果表明:轻量化的YOLOv4-tiny-tf2模型在不牺牲模型精度的情况下简化了其结构,更适合在配置较低的设备上部署,具备了较高的便携性;相较于传统的人工视觉检测和化学分析方法,基于香橙派Orange Pi 5B的矿石识别系统能够实时识别矿石,识别准确率达到93.75%,具有较高的可靠性和稳定性。
