randomizing

简明释义

英[ˈrændəmaɪzɪŋ]美[ˈrændəmaɪzɪŋ]

adj. 随机的，随机化

v. 形成不规则分布；使……随机化（randomize 的 ing 形式）

英英释义

单词用法

同义词

反义词

例句

1.The content of flavanone and lactone in leaf and the leaf output were studied by randomizing block arrangement of 31 gingko female varieties(strain) and 4 staminiferous plant type single clone.

采用31个银杏雌性品种和4个雄株类型的单株无性系，随机区组排列，对叶产量性状及其与叶产量的相关性，叶黄酮、内酯含量进行了研究。

2.The content of flavanone and lactone in leaf and the leaf output were studied by randomizing block arrangement of 31 gingko female varieties(strain) and 4 staminiferous plant type single clone.

采用31个银杏雌性品种和4个雄株类型的单株无性系，随机区组排列，对叶产量性状及其与叶产量的相关性，叶黄酮、内酯含量进行了研究。

3.In fact, there are other approaches as well, including randomizing the locations of executables; Crispen's "PointGuard" extends the canary idea to the heap, and so on.

事实上还有其他方法，包括随机化可执行程序的位置；Crispen的“PointGuard”将这种探测仪思想引申到了堆中，等等。

4.So, another common pattern in Ajax applications is the use of some randomizing element in the URL to ensure that the browser doesn't return a cached result.

所以，Ajax应用程序中另一个常见模式是使用URL中的随机元素来保证浏览器不会返回一个缓存的结果。

5.A randomizing algorithm distributes load across any number of servers that form a logical service.

一个随机算法会分配负载到任意数量的服务器，让它们组成一个逻辑服务。

6.You can improve the robustness of your test by randomizing the selection of titles to search.

通过对要搜索的标题进行随机选择，可以提高测试的稳健性。

7.Rational Performance Tester contains a feature for randomizing input data to a form.

RationalPerformance Tester包含一个对表单随机输入数据的特性。

8.Randomizing the think time by percentage.

随机设定思考时间的百分点。

9.In clinical trials, researchers are often tasked with randomizing the participants to ensure unbiased results.

在临床试验中，研究人员通常负责随机分配参与者，以确保结果的公正性。

10.The game uses an algorithm for randomizing the order of questions each time a player starts.

该游戏使用算法来随机排列每次玩家开始时的问题顺序。

11.By randomizing the data set, we can reduce the effects of bias in our analysis.

通过随机化数据集，我们可以减少分析中的偏差影响。

12.The software is designed for randomizing the selection of samples for testing.

该软件旨在随机选择样本进行测试。

13.Teachers often use methods for randomizing student groups to promote collaboration.

教师们经常使用方法来随机分组学生，以促进合作。

作文

In the field of research, especially in clinical trials, the concept of randomizing is crucial to ensuring the validity and reliability of the results. Randomizing (随机化) refers to the process of assigning participants to different groups in a study by chance rather than by choice. This method helps eliminate bias, ensuring that each participant has an equal opportunity to be assigned to any group, which is essential for the integrity of the experiment. When researchers conduct a clinical trial, they often want to compare the effects of a new drug against a placebo or an existing treatment. To do this effectively, they must ensure that the groups being compared are similar in all respects except for the treatment being administered. By randomizing (随机化) the assignment of participants to these groups, researchers can control for confounding variables that might otherwise skew the results. For instance, imagine a study testing a new medication for high blood pressure. If the researchers were to allow participants to choose their group, it’s possible that those who are more health-conscious would select the new medication group, while those less concerned about their health might end up in the placebo group. This self-selection could lead to significant differences between the groups, making it difficult to determine whether any observed effects were due to the medication itself or to the characteristics of the participants. By randomizing (随机化) the participants, the researchers mitigate this risk. Each individual has an equal chance of receiving either the treatment or the placebo, which helps create comparable groups. This way, if the study finds that the new medication is effective, the researchers can be more confident that the results are due to the medication and not some other factor. Moreover, randomizing (随机化) also enhances the generalizability of the study findings. When participants are assigned randomly, the sample is more likely to represent the broader population. This means that the conclusions drawn from the study can be applied to a wider audience, making the research more valuable. However, randomizing (随机化) is not without its challenges. Researchers must carefully consider how to implement randomization in their studies. For example, in some cases, it may not be ethical to randomize participants. In a situation where a treatment is known to be effective, withholding it from some participants for the sake of randomization would be unethical. Therefore, researchers must navigate these ethical considerations while still striving to maintain the integrity of their study design. In addition, the process of randomizing (随机化) can be complex. Researchers need to employ appropriate statistical methods to ensure that the randomization process is executed correctly. They may use computer algorithms or random number tables to assign participants, ensuring that the process is truly random and not influenced by any external factors. In conclusion, randomizing (随机化) plays a pivotal role in the realm of scientific research, particularly in clinical trials. It serves as a fundamental technique to eliminate bias, enhance the reliability of results, and improve the generalizability of findings. Despite the challenges that come with it, the benefits of randomizing (随机化) far outweigh the drawbacks, making it an indispensable tool for researchers aiming to produce credible and impactful research outcomes.

在研究领域，特别是在临床试验中，randomizing（随机化）这一概念对于确保结果的有效性和可靠性至关重要。Randomizing（随机化）指的是通过机会而不是选择将参与者分配到研究中的不同组的过程。这种方法有助于消除偏见，确保每个参与者都有同等的机会被分配到任何组，这对于实验的完整性至关重要。 当研究人员进行临床试验时，他们通常希望比较新药与安慰剂或现有治疗的效果。为了有效地做到这一点，他们必须确保被比较的组在所有方面都相似，除了所施用的治疗。通过randomizing（随机化）参与者的分配，研究人员可以控制可能会扭曲结果的混杂变量。 例如，想象一下一个测试新药物治疗高血压的研究。如果研究人员允许参与者选择他们的组，可能更关注健康的人会选择新药组，而对健康不太关心的人可能会进入安慰剂组。这种自我选择可能导致组之间存在显著差异，使得难以确定观察到的任何效果是由于药物本身还是参与者的特征。 通过randomizing（随机化）参与者，研究人员减轻了这种风险。每个人都有平等的机会接受治疗或安慰剂，这有助于创建可比较的组。这样，如果研究发现新药物有效，研究人员可以更有信心地认为结果是由于药物而非其他因素。 此外，randomizing（随机化）还增强了研究结果的普遍适用性。当参与者被随机分配时，样本更有可能代表更广泛的人群。这意味着从研究中得出的结论可以应用于更广泛的受众，使研究更具价值。 然而，randomizing（随机化）并非没有挑战。研究人员必须仔细考虑如何在研究中实施随机化。例如，在某些情况下，随机化参与者可能是不道德的。在已知某种治疗有效的情况下，为了随机化而拒绝某些参与者接受治疗将是不道德的。因此，研究人员必须在努力维护研究设计的完整性时，权衡这些伦理考量。 此外，randomizing（随机化）的过程可能很复杂。研究人员需要采用适当的统计方法，以确保随机化过程正确执行。他们可能使用计算机算法或随机数字表来分配参与者，确保该过程确实是随机的，而不受任何外部因素的影响。 总之，randomizing（随机化）在科学研究领域，特别是在临床试验中发挥着重要作用。它作为一种基本技术，消除了偏见，提高了结果的可靠性，并改善了研究结果的普遍适用性。尽管伴随而来的挑战，但randomizing（随机化）的好处远远超过缺点，使其成为研究人员生产可信和有影响力的研究成果不可或缺的工具。