提出了一种基于人工免疫系统(AIS)的垃圾邮件过滤机制。将邮件文本向量空间化并结合免疫识别算法进行过滤。对机制进行了建模与算法描述,对检测器的性能和系统的学习更新进行了向量空间上r模拟仿真并与Na ve Bayes方法进行比较。研究结...提出了一种基于人工免疫系统(AIS)的垃圾邮件过滤机制。将邮件文本向量空间化并结合免疫识别算法进行过滤。对机制进行了建模与算法描述,对检测器的性能和系统的学习更新进行了向量空间上r模拟仿真并与Na ve Bayes方法进行比较。研究结果说明将人工免疫系统应用于垃圾邮件处理有动态性和自适应强的优点,同时为特定领域的信息分类问题提供了一种参考机制。展开更多
The novel coronavirus (SARS-CoV-2) and its variety that causes coronavirus disease 2019 (COVID-19) have had a great impact on human health and society since it was epidemic in 2019. The traditional immunological theor...The novel coronavirus (SARS-CoV-2) and its variety that causes coronavirus disease 2019 (COVID-19) have had a great impact on human health and society since it was epidemic in 2019. The traditional immunological theories believe that human body resists the invasion of exogenous substances, such as different kinds of pathogenic microorganisms, through natural immunity and acquired immunity. We have greatly understood the underlying mechanisms of these two kinds of immunities, which are achieved through cellular and humoral immunity. Immune cells mainly include B and T cells. B cells produce specific antibodies and participate in the humoral immune response, while T cells have more extensive immune effects related to the cellular immune response. Therefore, such traditional immunological theories allow us habitually believe that the human body can resist the attack of virus as long as we have established the so-called normal cellular and humoral immune functions, however, in fact, this is not the case. The traditional ideas make us ignore the most critical, but simple and important defense system in our body to fight against the attack of foreign microorganisms, and that is the intracellular potassium ions (K+) and extracellular sodium ions (Na+), in particular, the intracellular potassium ions, called “K+/Na+ natural immune system”. The abnormality of this system, in particular, the intracellular relative deficiency of potassium ions, may have a very important relationship with the susceptibility and pathogenesis of the body to viral infection, and could explain a series of confusing phenomena that appeared during SARS-CoV-2 pandemic and provide new ideas for the prevention and treatment of COVID-19.展开更多
文摘提出了一种基于人工免疫系统(AIS)的垃圾邮件过滤机制。将邮件文本向量空间化并结合免疫识别算法进行过滤。对机制进行了建模与算法描述,对检测器的性能和系统的学习更新进行了向量空间上r模拟仿真并与Na ve Bayes方法进行比较。研究结果说明将人工免疫系统应用于垃圾邮件处理有动态性和自适应强的优点,同时为特定领域的信息分类问题提供了一种参考机制。
文摘The novel coronavirus (SARS-CoV-2) and its variety that causes coronavirus disease 2019 (COVID-19) have had a great impact on human health and society since it was epidemic in 2019. The traditional immunological theories believe that human body resists the invasion of exogenous substances, such as different kinds of pathogenic microorganisms, through natural immunity and acquired immunity. We have greatly understood the underlying mechanisms of these two kinds of immunities, which are achieved through cellular and humoral immunity. Immune cells mainly include B and T cells. B cells produce specific antibodies and participate in the humoral immune response, while T cells have more extensive immune effects related to the cellular immune response. Therefore, such traditional immunological theories allow us habitually believe that the human body can resist the attack of virus as long as we have established the so-called normal cellular and humoral immune functions, however, in fact, this is not the case. The traditional ideas make us ignore the most critical, but simple and important defense system in our body to fight against the attack of foreign microorganisms, and that is the intracellular potassium ions (K+) and extracellular sodium ions (Na+), in particular, the intracellular potassium ions, called “K+/Na+ natural immune system”. The abnormality of this system, in particular, the intracellular relative deficiency of potassium ions, may have a very important relationship with the susceptibility and pathogenesis of the body to viral infection, and could explain a series of confusing phenomena that appeared during SARS-CoV-2 pandemic and provide new ideas for the prevention and treatment of COVID-19.
