anomalies

简明释义

英[əˈnɒm.ə.liːz]美[əˈnɑː.mə.liːz]

n. 异常现象，反常现象（anomaly 复数形式）

英英释义

单词用法

同义词

反义词

例句

1.Simulations with larger Numbers of instances reduce the chance of any random anomalies such as this skewing the results.

具有大量实例的模拟可以减少任何随机的反常情况，例如减少对结果的偏差。

2.This type of report is usually used to determine the anomalies, such as a surge in page activity.

这一报告类型通常被用于决定异常的情况，例如页面活动中的震荡。

3.These circulation anomalies have long been recognized.

这些环流异常早就为人们所认识。

4.Data collected in an event can be used to alert administrator should anomalies show up.

事件中收集的数据可以用来警告管理员应该注意某些异常情况。

5.One reason is that most tumors are fueled by numerous, often redundant, genetic anomalies.

其中一个原因是大多数肿瘤由众多、常常是多余的基因变异物供养着。

6.Before we did this study, we didn't know what the climate anomalies would be or how long they would last.

在我们做这项研究之前，我们不知道气候会有怎样的异常，这些异常会持续多长时间。

7.Researchers are studying environmental anomalies to understand climate change better.

研究人员正在研究环境中的异常现象以更好地理解气候变化。

8.The scientist discovered several anomalies in the data that suggested a need for further investigation.

科学家在数据中发现了几个异常现象，这表明需要进一步调查。

9.During the audit, the accountant noted anomalies that could indicate potential fraud.

在审计过程中，会计注意到一些可能表明潜在欺诈的异常。

10.The financial report revealed anomalies in the spending patterns of the department.

财务报告揭示了部门支出模式中的异常。

11.The doctor explained that the anomalies in the MRI results could be signs of a rare condition.

医生解释说，MRI结果中的异常可能是罕见病症的迹象。

作文

Anomalies are deviations from the norm, and they can be found in various fields such as science, mathematics, and even everyday life. Understanding these anomalies (异常现象) is crucial for researchers and analysts as they often hold the key to discovering new truths or correcting existing theories. For instance, in scientific research, anomalies (异常现象) in data can indicate experimental errors or new phenomena that have not yet been understood. When scientists encounter unexpected results, they must carefully analyze these anomalies (异常现象) to determine their cause and significance. This process often leads to groundbreaking discoveries or the revision of established knowledge.In mathematics, anomalies (异常现象) can arise in statistical data sets. For example, when analyzing a set of numbers, a data point that significantly deviates from the others can be considered an anomaly (异常现象). Such anomalies (异常现象) may suggest that there is an error in data collection or that there is a unique case that warrants further investigation. Identifying these outliers is essential for accurate data analysis, as they can skew results and lead to incorrect conclusions.In the realm of technology, anomalies (异常现象) play a critical role in cybersecurity. Security systems often rely on algorithms to detect unusual patterns of behavior that may indicate a security breach. These anomalies (异常现象) can include unexpected login attempts, unusual data transfers, or other behaviors that deviate from the established norms. By identifying these anomalies (异常现象), organizations can take proactive measures to protect their systems and data from potential threats.Moreover, in our daily lives, we encounter anomalies (异常现象) that prompt us to question our understanding of the world. For example, if a person experiences a sudden change in health or behavior, it may be an anomaly (异常现象) that requires medical attention. Recognizing these anomalies (异常现象) can lead to early diagnosis and treatment, ultimately improving outcomes.In conclusion, anomalies (异常现象) are significant markers that can lead to deeper insights across various domains. Whether in scientific research, data analysis, cybersecurity, or everyday life, recognizing and understanding these anomalies (异常现象) is essential for progress and innovation. They challenge our assumptions and encourage us to explore further, ensuring that we remain curious and open-minded in our pursuit of knowledge. As we continue to encounter anomalies (异常现象) in our lives, let us embrace them as opportunities for learning and growth.

异常现象是偏离常规的现象，它们可以在科学、数学甚至日常生活等多个领域中找到。理解这些anomalies（异常现象）对研究人员和分析师至关重要，因为它们往往是发现新真理或修正现有理论的关键。例如，在科学研究中，数据中的anomalies（异常现象）可能表明实验错误或尚未理解的新现象。当科学家遇到意外结果时，他们必须仔细分析这些anomalies（异常现象），以确定其原因和重要性。这一过程通常会导致突破性的发现或对既有知识的修订。在数学中，anomalies（异常现象）可能出现在统计数据集中。例如，在分析一组数字时，显著偏离其他数字的数据点可以被视为anomaly（异常现象）。这样的anomalies（异常现象）可能表明数据收集存在错误，或者存在一个独特的案例需要进一步调查。识别这些离群值对于准确的数据分析至关重要，因为它们可能扭曲结果并导致错误的结论。在技术领域，anomalies（异常现象）在网络安全中发挥着关键作用。安全系统通常依赖算法来检测可能表明安全漏洞的不寻常行为模式。这些anomalies（异常现象）可能包括意外的登录尝试、不寻常的数据传输或其他偏离既定规范的行为。通过识别这些anomalies（异常现象），组织可以采取主动措施保护其系统和数据免受潜在威胁。此外，在我们的日常生活中，我们会遇到促使我们质疑对世界理解的anomalies（异常现象）。例如，如果一个人经历健康或行为的突然变化，这可能是一个需要医疗关注的anomaly（异常现象）。识别这些anomalies（异常现象）可以导致早期诊断和治疗，最终改善结果。总之，anomalies（异常现象）是重要的标志，可以在各个领域带来更深刻的见解。无论是在科学研究、数据分析、网络安全还是日常生活中，识别和理解这些anomalies（异常现象）对于进步和创新至关重要。它们挑战我们的假设，鼓励我们进一步探索，确保我们在追求知识的过程中保持好奇心和开放的心态。随着我们继续在生活中遇到anomalies（异常现象），让我们将其视为学习和成长的机会。