sensitivity of a range

简明释义

叠标敏感度

英英释义

例句

1.Understanding the sensitivity of a range 一系列的灵敏度 of temperature variations is crucial for climate modeling.

理解温度变化的sensitivity of a range 一系列的灵敏度对气候建模至关重要。

2.The study examined the sensitivity of a range 一系列的灵敏度 of economic indicators to changes in fiscal policy.

该研究考察了经济指标对财政政策变化的sensitivity of a range 一系列的灵敏度。

3.We need to analyze the sensitivity of a range 一系列的灵敏度 of our marketing strategies to different consumer demographics.

我们需要分析我们的营销策略对不同消费者群体的sensitivity of a range 一系列的灵敏度。

4.In pharmacology, the sensitivity of a range 一系列的灵敏度 of drug responses can vary significantly among patients.

在药理学中，药物反应的sensitivity of a range 一系列的灵敏度在患者之间可能有显著差异。

5.The engineer tested the sensitivity of a range 一系列的灵敏度 of sensors to ensure accurate measurements.

工程师测试了传感器的sensitivity of a range 一系列的灵敏度以确保测量的准确性。

作文

In the field of science and technology, understanding the sensitivity of a range is crucial for various applications. The term 'sensitivity' generally refers to the degree to which a system or instrument responds to changes in input or environmental conditions. When we talk about the sensitivity of a range, we are often referring to how responsive a particular measurement instrument is across a specified range of values. This concept can be applied to many fields, including physics, engineering, and even economics.For example, consider a thermometer that measures temperature. The sensitivity of a range in this context would describe how accurately the thermometer can detect small changes in temperature within a specific range, say from 0 to 100 degrees Celsius. If the thermometer is highly sensitive, it will show precise readings even with tiny fluctuations in temperature. Conversely, if its sensitivity is low, it might only register significant changes, potentially leading to inaccurate conclusions about the environment being measured.Moreover, the sensitivity of a range is not only important in scientific instruments but also plays a vital role in data analysis and statistics. In statistical models, we often assess the sensitivity of different variables to understand how changes in one variable might affect others. For instance, in an economic model, if we examine the sensitivity of a range of factors such as interest rates, inflation, and employment levels, we can better predict how a change in interest rates might impact overall economic performance.Additionally, in engineering, the sensitivity of a range can influence the design of systems and components. Engineers must consider how sensitive their designs are to variations in material properties, environmental conditions, or operational parameters. A design with high sensitivity may require tighter tolerances and more precise manufacturing processes, which can increase costs and complexity. On the other hand, designs with lower sensitivity may be more robust and easier to produce, albeit potentially less efficient or effective under varying conditions.In the realm of consumer electronics, the sensitivity of a range also comes into play. For example, the sensitivity of a microphone determines how well it picks up sound across different frequencies. A microphone with a wide sensitivity range can capture subtle sounds while filtering out background noise, making it ideal for professional audio recording. However, if the microphone's sensitivity is too broad, it might pick up unwanted sounds, leading to poor audio quality.In conclusion, the concept of sensitivity of a range is integral to various disciplines, from scientific measurements to economic modeling and engineering design. Understanding this sensitivity allows professionals to make informed decisions, optimize performance, and achieve accurate results. As technology continues to evolve, the importance of recognizing and managing the sensitivity of a range will only become more pronounced, highlighting the need for ongoing research and development in this area. Ultimately, mastering the sensitivity of a range can lead to advancements that enhance our understanding and interaction with the world around us.

在科学和技术领域，理解范围的敏感性对于各种应用至关重要。术语“敏感性”通常指的是系统或仪器对输入或环境条件变化的响应程度。当我们谈论范围的敏感性时，我们通常是指特定测量仪器在指定值范围内的响应能力。这个概念可以应用于许多领域，包括物理学、工程学甚至经济学。例如，考虑一个测量温度的温度计。在这种情况下，范围的敏感性将描述温度计在特定范围内（例如从0到100摄氏度）如何准确地检测小的温度变化。如果温度计的敏感性很高，即使温度有微小波动，它也会显示出精确的读数。相反，如果其敏感性低，它可能只会记录显著的变化，可能导致对所测量环境的不准确结论。此外，范围的敏感性不仅在科学仪器中重要，在数据分析和统计中也发挥着至关重要的作用。在统计模型中，我们经常评估不同变量的敏感性，以了解一个变量的变化如何影响其他变量。例如，在经济模型中，如果我们考察一系列因素（如利率、通货膨胀和就业水平）的范围的敏感性，我们可以更好地预测利率变化可能对整体经济表现的影响。此外，在工程中，范围的敏感性可以影响系统和组件的设计。工程师必须考虑他们的设计对材料属性、环境条件或操作参数变化的敏感性。具有高敏感性的设计可能需要更严格的公差和更精确的制造过程，这可能增加成本和复杂性。另一方面，敏感性较低的设计可能更坚固且更易于生产，但在变化条件下可能效率或效果较低。在消费电子产品领域，范围的敏感性同样发挥着作用。例如，麦克风的敏感性决定了它在不同频率下捕捉声音的能力。具有广泛敏感范围的麦克风能够捕捉微妙的声音，同时过滤掉背景噪音，非常适合专业音频录制。然而，如果麦克风的敏感性过于宽泛，它可能会拾取不必要的声音，从而导致音质下降。总之，范围的敏感性这一概念在多个学科中都是不可或缺的，从科学测量到经济建模，再到工程设计。理解这种敏感性使专业人士能够做出明智的决策，优化性能并获得准确的结果。随着技术的不断发展，识别和管理范围的敏感性的重要性将愈加明显，突显出在这一领域持续研究和开发的必要性。最终，掌握范围的敏感性可以推动我们对周围世界的理解和互动的进步。