end effect

简明释义

边缘效应

英英释义

例句

1.The end effect 边缘效应 in this experiment led to an unexpected increase in the measured temperature at the ends of the sample.

在这个实验中，边缘效应 end effect 导致样本两端测得的温度意外增加。

2.We need to account for the end effect 边缘效应 when analyzing the performance of these new materials.

在分析这些新材料的性能时，我们需要考虑到边缘效应 end effect。

3.To mitigate the end effect 边缘效应, we used a moving average technique in our analysis.

为了减轻边缘效应 end effect，我们在分析中使用了移动平均技术。

4.The end effect 边缘效应 is particularly noticeable in time series data where the endpoints are heavily influenced by external factors.

在时间序列数据中，边缘效应 end effect 尤其明显，因为端点受到外部因素的强烈影响。

5.In a long data series, the end effect 边缘效应 can distort the results by exaggerating the impact of the first and last data points.

在一系列长数据中，边缘效应 end effect 可能会通过夸大第一个和最后一个数据点的影响来扭曲结果。

作文

The concept of end effect is often discussed in various fields, including psychology, physics, and statistics. In essence, end effect refers to the phenomenon where the outcomes or results at the beginning or end of a sequence differ from those in the middle. This discrepancy can significantly influence the overall analysis and interpretation of data. Understanding this concept is crucial for researchers and practitioners alike, as it can lead to misinterpretations if not adequately addressed.In psychology, for example, the end effect may manifest during experiments where participants are asked to recall a list of words. Research has shown that individuals tend to remember items presented at the beginning and the end of the list better than those in the middle. This is known as the serial position effect, which highlights how memory recall is affected by the position of an item within a sequence. Consequently, when analyzing the results of such studies, psychologists must consider the end effect to avoid skewed interpretations of participants' memory capabilities.Similarly, in statistics, the end effect can be observed in time series data. When analyzing trends over time, the first and last data points may not accurately represent the overall trend due to various external factors that could have influenced those specific points. For instance, a sudden economic downturn at the end of a fiscal year might result in a misleading conclusion about a company's performance if analysts do not account for the end effect. Thus, statisticians often employ methods to mitigate this effect, ensuring a more accurate representation of the data.In the realm of physics, the end effect can refer to the behavior of materials at their boundaries. For instance, when studying the thermal conductivity of a material, the edges may behave differently than the center due to heat dissipation. This variation can lead to inaccuracies in experimental results if the end effect is not taken into account. Researchers must carefully design experiments to minimize these effects, ensuring that their findings are representative of the material as a whole.Furthermore, the end effect is also relevant in the context of project management. When evaluating the success of a project, stakeholders often focus on the final deliverables and outcomes. However, this narrow focus may overlook critical issues that arose during the project's execution. For instance, if a project faced significant challenges in its middle stages but ultimately delivered a successful product at the end, the end effect could lead to an overly positive assessment of the project's overall performance. Therefore, it is essential for project managers to conduct thorough evaluations that consider the entire project lifecycle, rather than solely the final outcomes.In conclusion, the end effect is a multifaceted concept that appears across various disciplines. Whether in psychology, statistics, physics, or project management, recognizing and addressing the end effect is vital for accurate analysis and interpretation. By understanding this phenomenon, researchers and practitioners can improve their methodologies and ensure that their conclusions are based on comprehensive evaluations rather than skewed perceptions influenced by the beginning or end of a sequence. As we continue to explore the complexities of different fields, the importance of acknowledging the end effect cannot be overstated, as it ultimately contributes to the integrity and reliability of our findings.

“终端效应”这一概念在心理学、物理学和统计学等多个领域中经常被讨论。本质上，“终端效应”指的是在一个序列的开始或结束时，结果或结果与中间的结果不同。这种差异可能会显著影响数据的整体分析和解释。理解这一概念对于研究人员和从业者来说至关重要，因为如果没有充分考虑，可能会导致误解。例如，在心理学中，end effect可能会在参与者被要求回忆一系列单词的实验中表现出来。研究表明，个体倾向于比起中间的项目更好地记住列表开头和结尾的项目。这被称为序列位置效应，突显了记忆回忆如何受到项目在序列中的位置的影响。因此，在分析这类研究的结果时，心理学家必须考虑到end effect，以避免对参与者记忆能力的偏颇解释。同样，在统计学中，end effect可以在时间序列数据中观察到。在分析时间趋势时，首尾的数据点可能由于各种外部因素的影响而无法准确代表整体趋势。例如，财政年度末的突然经济衰退可能导致分析师在未考虑end effect的情况下，对公司的业绩得出误导性结论。因此，统计学家通常采用方法来减轻这种效应，确保数据的更准确表示。在物理学领域，end effect可以指材料在其边界处的行为。例如，在研究材料的热导率时，边缘的行为可能与中心不同，这可能导致实验结果的不准确。如果不考虑end effect，研究人员必须仔细设计实验，以尽量减少这些效应，确保他们的发现能代表整个材料。此外，end effect在项目管理的背景下也很相关。在评估项目的成功时，利益相关者通常关注最终交付物和结果。然而，这种狭隘的关注可能忽略了项目执行过程中出现的关键问题。例如，如果一个项目在中间阶段面临重大挑战，但最终交付了成功的产品，那么end effect可能会导致对项目整体表现的过于积极的评估。因此，项目经理必须进行全面的评估，考虑整个项目生命周期，而不仅仅是最终结果。总之，end effect是一个多方面的概念，出现在各个学科中。无论是在心理学、统计学、物理学还是项目管理中，识别和解决end effect对准确分析和解释至关重要。通过理解这一现象，研究人员和从业者可以改善他们的方法论，确保他们的结论是基于全面评估，而不是受到序列开始或结束的影响而扭曲的看法。随着我们继续探索不同领域的复杂性，承认end effect的重要性不容小觑，因为它最终有助于我们发现的完整性和可靠性。