computed

简明释义

英[kəmˈpjuːtɪd]美[kəmˈpjuːtɪd]

adj. 计算的，使用计算机的

v. 计算，估算（compute 的过去式和过去分词）

英英释义

单词用法

同义词

反义词

例句

1.Items usually don't change much, so this often can be computed offline.

项目通常不会过多更改，因此这通常可以离线完成。

2.Once computed, the digest is transmitted along with the message.

一旦计算出了摘要，它就与消息一起被传送。

3.When a static query is executed, the previously computed query plan is used.

当执行静态查询时，会使用以前生成的查询计划。

4.Listing 6. Value of computed field.

清单6.computed字段的值。

5.Computed text blocks and filters.

计算文本构造块和过滤器。

6.Notwithstanding, all nicety of calculations, the real course of Uranus would not at all agree with the one computed.

不过，即使是完全准确的计算，其结果与天王星的实际运行轨迹也并不完全一致。

7.All the checks are computed automatically in the system.

所有的支票都是在系统中自动计算的。

8.The new value that you use to replace an existing value can also be computed.

用来替换现有值的新值也可以通过计算产生。

9.On page2, a computed field has the following value.

在page2上，computed字段有以下值。

10.The total cost was computed 计算 after adding all the expenses.

在将所有费用相加后，总成本被计算。

11.She computed 计算 the average score of the class for the semester.

她为这个学期的班级计算了平均分。

12.The software computed 计算 the results in just a few seconds.

该软件在几秒钟内计算出了结果。

13.Using a calculator, he computed 计算 the square root of 144.

使用计算器，他计算了144的平方根。

14.The engineer computed 计算 the load capacity of the bridge.

工程师计算了桥梁的承载能力。

作文

In the age of technology, data plays a crucial role in decision-making processes across various fields. Whether in business, healthcare, or education, the ability to analyze and interpret data effectively can lead to significant advancements and improvements. One of the key aspects of data analysis is the way information is computed (计算) to provide insights that can influence strategies and outcomes. For instance, in the business sector, companies often rely on data analytics to understand market trends and consumer behavior. By collecting large amounts of data from various sources, businesses can use algorithms to process this information. The results are then computed (计算) to reveal patterns that may not be immediately apparent. This allows companies to make informed decisions regarding product development, marketing strategies, and customer engagement. Similarly, in healthcare, patient data is computed (计算) to improve treatment plans and enhance patient care. Medical professionals use sophisticated software to analyze patient histories, test results, and other relevant data. By doing so, they can identify risk factors and predict potential health issues, leading to more effective preventative measures and treatments. The ability to have such data computed (计算) accurately can be a matter of life and death in critical situations. Education is another area where data is increasingly computed (计算) to enhance learning experiences. Schools and universities are now utilizing data analytics to track student performance and engagement. By analyzing test scores, attendance records, and even social interactions, educators can tailor their teaching methods to better suit the needs of their students. This personalized approach can significantly improve educational outcomes, as it allows for interventions that are based on solid evidence rather than guesswork. Moreover, the rise of artificial intelligence has further transformed the way data is computed (计算). Machine learning algorithms can process vast amounts of information at unprecedented speeds, allowing for real-time analysis and predictions. This capability has far-reaching implications across industries. For example, in finance, algorithms can computed (计算) stock market trends and make trading decisions within milliseconds, maximizing profits and minimizing risks. However, the reliance on computed (计算) data also raises ethical questions. As we become more dependent on technology, concerns about privacy and data security come to the forefront. It is essential to ensure that the data being computed (计算) is handled responsibly and ethically. Organizations must be transparent about how they collect and use data, and individuals should have control over their personal information. In conclusion, the ability to have data computed (计算) accurately and efficiently is vital in today's world. From business to healthcare and education, the insights gained from data analysis can lead to improved outcomes and innovations. However, as we continue to embrace technology, it is imperative to address the ethical considerations that arise from our reliance on computed (计算) information. Balancing the benefits of data analysis with the need for privacy and security will be crucial as we move forward into an increasingly data-driven future.

在科技时代，数据在各个领域的决策过程中发挥着至关重要的作用。无论是在商业、医疗还是教育中，有效分析和解释数据的能力都可以带来显著的进步和改善。数据分析的关键方面之一是信息如何被计算（computed）以提供可以影响战略和结果的见解。 例如，在商业领域，公司通常依赖数据分析来了解市场趋势和消费者行为。通过从各种来源收集大量数据，企业可以使用算法来处理这些信息。然后，结果被计算（computed）以揭示可能并不立即明显的模式。这使公司能够就产品开发、营销策略和客户参与做出明智的决策。 同样，在医疗保健中，患者数据被计算（computed）以改善治疗方案和增强患者护理。医疗专业人员使用复杂的软件分析患者历史、测试结果和其他相关数据。通过这样做，他们可以识别风险因素并预测潜在的健康问题，从而导致更有效的预防措施和治疗。能够准确地进行这样的数据计算（computed）在关键情况下可能是生死攸关的问题。 教育是另一个越来越多地利用数据计算（computed）以增强学习体验的领域。学校和大学现在正在利用数据分析来跟踪学生的表现和参与度。通过分析测试分数、出勤记录甚至社交互动，教育工作者可以根据学生的需求量身定制教学方法。这种个性化的方法可以显著改善教育成果，因为它允许基于坚实证据而非猜测进行干预。 此外，人工智能的兴起进一步改变了数据计算（computed）方式。机器学习算法可以以前所未有的速度处理大量信息，从而实现实时分析和预测。这种能力在各个行业具有深远的影响。例如，在金融领域，算法可以计算（computed）股市趋势，并在毫秒内做出交易决策，从而最大限度地提高利润并降低风险。 然而，对计算（computed）数据的依赖也引发了伦理问题。随着我们对技术的依赖加深，隐私和数据安全的担忧浮出水面。确保被计算（computed）数据的处理是负责任和合乎道德的至关重要。组织必须对其数据的收集和使用保持透明，个人应对其个人信息拥有控制权。 总之，能够准确和高效地对数据进行计算（computed）在当今世界至关重要。从商业到医疗和教育，通过数据分析获得的见解可以带来更好的结果和创新。然而，随着我们继续接受技术，解决我们对计算（computed）信息依赖所引发的伦理考虑至关重要。在我们迈向一个日益以数据驱动的未来时，平衡数据分析的好处与隐私和安全的需求将是至关重要的。