principal parameter

简明释义

主要参数

英英释义

例句

1.In financial modeling, the principal parameter is interest rate, as it determines the cost of borrowing.

在金融建模中，主要参数是利率，因为它决定了借款的成本。

2.The principal parameter in this experiment is temperature, which affects the reaction rate.

在这个实验中，主要参数是温度，它影响反应速率。

3.When designing a bridge, the principal parameter to consider is load capacity.

在设计桥梁时，需要考虑的主要参数是承载能力。

4.In software development, the principal parameter for performance is the response time.

在软件开发中，性能的主要参数是响应时间。

5.The principal parameter for evaluating the performance of a machine is its efficiency rating.

评估机器性能的主要参数是其效率等级。

作文

In the realm of scientific research and engineering, understanding the concept of a principal parameter is crucial for analyzing various systems and processes. A principal parameter can be defined as a key variable that significantly influences the behavior or outcome of a system. In many cases, it serves as a fundamental aspect that researchers focus on when conducting experiments or modeling scenarios. For instance, in fluid dynamics, the viscosity of a fluid could be considered a principal parameter because it directly affects the flow characteristics and behavior of the fluid under different conditions.When designing experiments, scientists often identify the principal parameters that they believe will have the most substantial impact on their results. This identification process is essential because it allows researchers to streamline their studies and focus their resources on the most critical aspects of their work. For example, in agricultural studies, factors such as soil pH, moisture content, and nutrient levels are often regarded as principal parameters that determine crop yields. By manipulating these variables, researchers can gain insights into the optimal conditions for plant growth and development.Moreover, understanding principal parameters is not limited to scientific fields; it also extends to economics, sociology, and other disciplines. In economics, for example, interest rates, inflation, and unemployment rates are often seen as principal parameters that influence economic stability and growth. Policymakers must pay close attention to these variables to make informed decisions that affect the economy as a whole.The significance of principal parameters also becomes evident in the context of data analysis. When analyzing large datasets, identifying the principal parameters can help researchers uncover patterns and correlations that may not be immediately apparent. For instance, in public health research, factors such as age, gender, and socioeconomic status might be treated as principal parameters when studying disease prevalence and health outcomes. By focusing on these key variables, researchers can develop targeted interventions and policies to improve public health.In conclusion, the concept of a principal parameter is integral to various fields of study, providing a framework for understanding and analyzing complex systems. Whether in scientific research, economics, or social sciences, identifying and studying principal parameters allows researchers to concentrate on the most impactful variables, leading to more effective strategies and solutions. As we continue to advance our knowledge across disciplines, recognizing the importance of principal parameters will remain a vital component of successful inquiry and discovery.

在科学研究和工程领域，理解“主要参数”的概念对于分析各种系统和过程至关重要。“主要参数”可以定义为显著影响系统行为或结果的关键变量。在许多情况下，它作为研究人员在进行实验或建模场景时关注的基本方面。例如，在流体动力学中，流体的粘度可以被视为一个“主要参数”，因为它直接影响流体在不同条件下的流动特性和行为。在设计实验时，科学家通常会识别出他们认为将对结果产生重大影响的“主要参数”。这一识别过程至关重要，因为它使研究人员能够精简研究，集中资源于工作中最关键的方面。例如，在农业研究中，土壤pH值、湿度和养分水平通常被视为决定作物产量的“主要参数”。通过操控这些变量，研究人员可以深入了解植物生长和发育的最佳条件。此外，理解“主要参数”不仅限于科学领域；它也扩展到经济学、社会学和其他学科。在经济学中，例如，利率、通货膨胀和失业率常常被视为影响经济稳定和增长的“主要参数”。政策制定者必须密切关注这些变量，以做出影响整体经济的明智决策。“主要参数”的重要性在数据分析的背景下也变得显而易见。当分析大型数据集时，识别“主要参数”可以帮助研究人员发现可能不立即显现的模式和相关性。例如，在公共卫生研究中，年龄、性别和社会经济地位等因素可能在研究疾病流行率和健康结果时被视为“主要参数”。通过关注这些关键变量，研究人员可以制定针对性的干预措施和政策，以改善公共健康。总之，“主要参数”的概念是各个研究领域不可或缺的一部分，为理解和分析复杂系统提供了框架。无论是在科学研究、经济学还是社会科学中，识别和研究“主要参数”使研究人员能够集中注意力于最具影响力的变量，从而导致更有效的策略和解决方案。随着我们在各个学科中不断推动知识的进步，认识到“主要参数”的重要性将始终是成功探究和发现的重要组成部分。