validate

简明释义

英[ˈvælɪdeɪt]美[ˈvælɪdeɪt]

v. 批准，确认……有效；证实，确认；使生效，使具有法律效力；证明有……价值，认可

第 三 人 称 单 数 v a l i d a t e s

现 在 分 词 v a l i d a t i n g

过 去 式 v a l i d a t e d

过 去 分 词 v a l i d a t e d

英英释义

单词用法

同义词

反义词

例句

1.Another aspect of synchrony is that people often try to validate their opinions to those of others.

同步性的另一个方面是，人们经常试图向他人证明自己的观点。

2.This discovery seems to validate the claims of popular astrology.

这一发现似乎证实了流行占星术的一些观点。

3.First, validate the input.

首先，验证输入。

4.They don't validate that data.

它们不会验证这些数据。

5.Validate the credit card.

验证信用卡。

6.If I want to validate this code in a white box manner, I have to separate UI-specific code from business code, which requires some refactoring.

如果我想以白盒方式验证这段代码，就必须将特定于用户界面的代码与业务代码分开，这就需要进行重构。

7.For instance, it can validate or notify external systems.

例如，它可以验证或通知外部系统。

8.You will need to validate your account via email before accessing the platform.

您需要通过电子邮件验证您的帐户，然后才能访问该平台。

9.The scientist conducted experiments to validate her hypothesis.

这位科学家进行了实验以验证她的假设。

10.To ensure accuracy, we must validate the data collected from the survey.

为了确保准确性，我们必须验证从调查中收集的数据。

11.The software will validate your input before saving it.

该软件将在保存之前验证您的输入。

12.Before we can proceed with the project, we need to validate our assumptions.

在我们可以继续进行项目之前，我们需要验证我们的假设。

作文

In today's fast-paced world, the importance of data cannot be overstated. Businesses, researchers, and policymakers rely heavily on accurate information to make informed decisions. However, the process of collecting data is only the first step; it is equally crucial to validate the information gathered. To validate means to check or prove the accuracy of something, ensuring that the data is reliable and can be trusted for further use. This essay will explore the significance of validation in various contexts, including scientific research, business analytics, and everyday decision-making.Firstly, in the realm of scientific research, validation is a fundamental aspect that underpins the credibility of findings. Researchers conduct experiments and gather data to support their hypotheses, but without rigorous validation, their results may be misleading. For instance, consider a study that claims a new medication significantly improves patient outcomes. If the data collected is not thoroughly validated, it could lead to false conclusions, potentially harming patients who rely on this treatment. Therefore, the process of validating research findings is essential to ensure that they contribute positively to the body of knowledge and do not mislead the public.Secondly, in the business world, companies rely on data analytics to drive their strategies and operations. From customer feedback to sales figures, the decisions made by management often hinge on the data at hand. If this data is not validated, businesses risk making poor choices that could lead to financial losses or reputational damage. For example, a marketing team might launch a campaign based on unverified customer preferences. If the data was faulty, the campaign could fail, wasting resources and time. Thus, validating data before making strategic decisions is a critical practice for any successful organization.Moreover, validation is also significant in our daily lives. We constantly make decisions based on the information we receive, whether it’s news articles, social media posts, or advice from friends. If we do not take the time to validate this information, we may fall victim to misinformation or scams. For instance, during a health crisis, individuals may encounter various claims about treatments or preventive measures. By taking the necessary steps to validate these claims through credible sources, we can protect ourselves and make informed choices.In conclusion, the act of validating information is crucial across various fields, from scientific research to business operations and personal decision-making. It ensures that the data we rely on is accurate and trustworthy, ultimately leading to better outcomes. As we continue to navigate an increasingly complex world filled with information, the ability to validate what we encounter will empower us to make informed choices that benefit ourselves and society as a whole. Therefore, it is vital to develop strong critical thinking skills and a healthy skepticism when evaluating the information presented to us, so we can effectively validate its authenticity and relevance.

在当今快节奏的世界中，数据的重要性不容忽视。企业、研究人员和决策者在做出明智决策时严重依赖准确的信息。然而，收集数据的过程只是第一步；同样重要的是对收集到的信息进行验证。验证的意思是检查或证明某事的准确性，确保数据可靠并可以信任以供进一步使用。本文将探讨验证在科学研究、商业分析和日常决策等不同背景下的重要性。首先，在科学研究领域，验证是支撑研究结果可信度的基本方面。研究人员进行实验并收集数据以支持他们的假设，但如果没有严格的验证，他们的结果可能会产生误导。例如，考虑一项声称新药显著改善患者结果的研究。如果收集的数据没有经过彻底的验证，可能导致错误的结论，潜在地伤害依赖这种治疗的患者。因此，验证研究结果的过程对于确保其对知识体系的积极贡献并不误导公众至关重要。其次，在商业领域，公司依赖数据分析来推动其战略和运营。从客户反馈到销售数字，管理层所做的决策往往依赖于手头的数据。如果这些数据没有经过验证，企业就面临着做出糟糕选择的风险，这可能导致财务损失或声誉损害。例如，市场营销团队可能基于未经验证的客户偏好发起一项活动。如果数据有误，活动可能失败，浪费资源和时间。因此，在做出战略决策之前对数据进行验证是任何成功组织的重要实践。此外，验证在我们的日常生活中也很重要。我们不断根据收到的信息做出决策，无论是新闻文章、社交媒体帖子还是朋友的建议。如果我们不花时间去验证这些信息，我们可能会成为虚假信息或诈骗的受害者。例如，在健康危机期间，个人可能会遇到关于治疗或预防措施的各种说法。通过采取必要的步骤来通过可信来源对这些说法进行验证，我们可以保护自己并做出明智的选择。总之，验证信息的行为在各个领域都至关重要，从科学研究到商业运营以及个人决策。它确保我们依赖的数据是准确和可信的，最终导致更好的结果。随着我们继续在一个充满信息的日益复杂的世界中导航，能够验证我们所遇到的内容将使我们能够做出明智的选择，造福自己和整个社会。因此，培养强大的批判性思维能力和健康的怀疑态度在评估呈现给我们的信息时至关重要，以便我们能够有效地验证其真实性和相关性。