multifactor

简明释义

英[ˌmʌltɪˈfæktə(r)]美[ˈmʌltiˈfæktər]

adj. 多因子的；多种因素的

n. 复因子

英英释义

单词用法

同义词

反义词

例句

1.The same holds true for systems implementing multi-layer authentication instead of multifactor authentication.

对于实现多层身份验证的系统，也是如此。

2.Multifactor model holds important position in modern investment theories.

多因素模型在现代投资理论中居于重要地位。

3.Goal programming is an ideal method of solving the problem of multifactor goods allocation and transportation.

目标规划是解决多因素物资调运问题的理想方法。

4.You can use the GSS-API framework with multifactor authentication to achieve a multi-security mechanism with multifactor authentication.

可以使用GSS-API实现多因素身份验证，从而实现使用多种安全机制的多因素身份验证。

5.Annual and monthly measurement rate is the gray original character systems influenced by multifactor.

年度、月度措施产量是多因素影响的灰色本征系统。

6.The multifactor linear regression analysis showed that the number of CD8 + cells was significantly negatively correlated to the disease course .

多元线性回归结果：抑郁症患者血中CD8+细胞数与病程呈非常显著负相关。

7.The need for multi-security mechanisms with multifactor authentication.

采用多种安全机制的多因素身份验证的现实需求。

8.The study used a multifactor analysis to determine the impact of various environmental variables on plant growth.

这项研究使用了多因素分析来确定各种环境变量对植物生长的影响。

9.The multifactor authentication process enhances security by requiring multiple forms of verification.

多因素身份验证过程通过要求多种验证形式来增强安全性。

10.Researchers employed a multifactor design to analyze the effects of diet and exercise on health outcomes.

研究人员采用了多因素设计来分析饮食和运动对健康结果的影响。

11.The multifactor approach in marketing considers demographics, behavior, and preferences.

营销中的多因素方法考虑了人口统计、行为和偏好。

12.In finance, multifactor models help investors understand the risks associated with different assets.

在金融领域，多因素模型帮助投资者理解与不同资产相关的风险。

作文

In today's rapidly evolving world, understanding the concept of multifactor (多因素) analysis is becoming increasingly important. This approach allows us to examine various elements that contribute to a particular outcome, making it essential in fields such as economics, healthcare, and environmental science. By recognizing that multiple factors can influence results, we can develop more effective strategies and solutions.For instance, consider the field of economics. When analyzing the reasons behind a country's economic growth, one cannot simply attribute it to a single cause. Instead, a multifactor (多因素) approach would take into account various elements such as government policies, consumer behavior, international trade, and technological advancements. Each of these factors plays a significant role in shaping the overall economic landscape, and by examining them together, economists can gain a clearer understanding of the dynamics at play.Similarly, in healthcare, the multifactor (多因素) model is crucial for understanding health outcomes. For example, when studying the prevalence of a disease in a population, researchers must consider a range of factors including genetics, lifestyle choices, socio-economic status, and access to healthcare services. By employing a multifactor (多因素) analysis, public health officials can identify high-risk groups and develop targeted interventions that address the specific needs of those populations.Environmental science also benefits greatly from a multifactor (多因素) perspective. When assessing the impact of climate change, scientists must evaluate various contributing factors such as greenhouse gas emissions, deforestation, and industrial pollution. A comprehensive analysis that incorporates these multiple elements helps in formulating effective policies aimed at mitigating environmental damage and promoting sustainability.Moreover, the multifactor (多因素) approach is not limited to academic research; it has practical applications in everyday decision-making. For example, when individuals make significant life choices, such as purchasing a home or choosing a career path, they often weigh multiple factors like financial stability, job satisfaction, and personal values. Recognizing the interplay of these factors can lead to more informed and fulfilling decisions.In conclusion, embracing a multifactor (多因素) approach enriches our understanding of complex issues across various domains. It encourages us to look beyond surface-level explanations and appreciate the intricate web of influences that shape our world. As we continue to face multifaceted challenges, whether in economics, healthcare, or environmental sustainability, adopting a multifactor (多因素) perspective will be crucial for developing holistic solutions that address the root causes of these issues. By doing so, we not only enhance our analytical skills but also empower ourselves to make better decisions that positively impact our lives and society as a whole.

在当今快速发展的世界中，理解multifactor（多因素）分析的概念变得越来越重要。这种方法使我们能够检查影响特定结果的各种因素，因此在经济学、医疗保健和环境科学等领域至关重要。通过认识到多个因素可以影响结果，我们可以制定更有效的策略和解决方案。例如，考虑经济学领域。当分析一个国家经济增长的原因时，不能仅仅将其归因于单一原因。相反，multifactor（多因素）的方法会考虑政府政策、消费者行为、国际贸易和技术进步等各种因素。每一个因素在塑造整体经济格局中都发挥着重要作用，通过共同审视它们，经济学家可以更清晰地理解正在发挥作用的动态。同样，在医疗保健中，multifactor（多因素）模型对于理解健康结果至关重要。例如，当研究某种疾病在人群中的流行程度时，研究人员必须考虑遗传、生活方式选择、社会经济状况和医疗服务的可及性等一系列因素。通过采用multifactor（多因素）分析，公共卫生官员可以识别高风险群体，并制定针对这些人群特定需求的干预措施。环境科学也极大地受益于multifactor（多因素）视角。当评估气候变化的影响时，科学家必须评估温室气体排放、森林砍伐和工业污染等多种因素。综合分析这些多个元素有助于制定旨在减轻环境损害和促进可持续发展的有效政策。此外，multifactor（多因素）方法不仅限于学术研究；它在日常决策中也具有实际应用。例如，当个人做出重大生活选择时，如购买房屋或选择职业道路，他们通常会权衡财务稳定、工作满意度和个人价值观等多个因素。认识到这些因素之间的相互作用可以导致更明智和更令人满意的决策。总之，接受multifactor（多因素）方法丰富了我们对各个领域复杂问题的理解。它鼓励我们超越表面解释，欣赏塑造我们世界的复杂影响网络。随着我们继续面临多方面的挑战，无论是在经济、医疗还是环境可持续性方面，采用multifactor（多因素）视角对于制定解决这些问题根本原因的整体解决方案至关重要。通过这样做，我们不仅增强了分析能力，还赋予自己做出更好决策的能力，这些决策对我们的生活和整个社会产生积极影响。