reduced scale

简明释义

缩型

英英释义

例句

1.The architect presented a model of the building at a reduced scale to help visualize the project.

建筑师以缩小比例展示了建筑模型，以帮助可视化项目。

2.The team decided to conduct their experiments on a reduced scale to minimize waste.

团队决定以缩小比例进行实验，以减少浪费。

3.The city council approved a reduced scale version of the park renovation plan to save costs.

市议会批准了公园翻新计划的缩小比例版本以节省成本。

4.For the science fair, we created a reduced scale model of the solar system.

为了科学展，我们制作了一个太阳系的缩小比例模型。

5.In the presentation, the engineers showed a reduced scale prototype of the new bridge design.

在演示中，工程师展示了新桥梁设计的缩小比例原型。

作文

In recent years, the concept of conducting experiments or projects on a reduced scale has gained popularity in various fields, including engineering, environmental science, and even business. The idea behind this approach is to minimize resources while still obtaining valuable insights and data. By operating on a reduced scale, researchers and practitioners can effectively test hypotheses without the need for extensive funding or large-scale implementation. This essay will explore the benefits and challenges of using a reduced scale in different contexts.One of the primary advantages of utilizing a reduced scale is cost efficiency. In many cases, large-scale projects require significant financial investment, which may not always be feasible. For instance, in the field of environmental science, conducting a full-scale study on the effects of pollution in a large ecosystem could be prohibitively expensive. Instead, researchers might choose to study a smaller area or a specific species, allowing them to gather crucial data without the burden of massive costs. This method not only conserves funds but also allows for more frequent experimentation and iteration, leading to more refined results.Another benefit of working on a reduced scale is the ability to quickly identify potential problems and make adjustments. In engineering, for example, building a prototype on a reduced scale can reveal design flaws that may not be apparent in theoretical models. By testing a smaller version of a product or structure, engineers can gather feedback and make necessary modifications before committing to full-scale production. This iterative process enhances innovation and can lead to better final products.However, there are challenges associated with using a reduced scale. One significant issue is the question of scalability. Results obtained from a smaller project may not always translate effectively to larger applications. For instance, a successful pilot program in a small community might face unforeseen challenges when implemented on a national level. It is essential for researchers and practitioners to carefully consider how findings from a reduced scale study will apply to broader contexts.Moreover, there is a risk of oversimplification when working on a reduced scale. Complex systems often involve numerous interacting variables, and reducing the scope of a study can lead to important factors being overlooked. For example, in social sciences, studying a small group of individuals may not capture the diversity of experiences and opinions present in a larger population. Therefore, while a reduced scale can provide valuable insights, it is crucial to remain aware of its limitations.In conclusion, the use of a reduced scale in various fields offers many advantages, including cost savings and the ability to quickly iterate on designs and concepts. However, it also presents challenges, particularly regarding the applicability of findings to larger systems and the risk of oversimplification. As researchers and practitioners continue to explore this approach, it is vital to balance the benefits of a reduced scale with an awareness of its limitations, ensuring that the insights gained are both meaningful and applicable to real-world scenarios.

近年来，在工程、环境科学甚至商业等多个领域，进行小规模实验或项目的概念越来越受欢迎。这种方法的背后理念是最小化资源，同时仍然获得有价值的见解和数据。通过在小规模上运作，研究人员和从业者可以有效地测试假设，而无需大量资金或大规模实施。本文将探讨在不同背景下使用小规模的好处和挑战。利用小规模的主要优势之一是成本效益。在许多情况下，大规模项目需要大量财务投资，这可能并不总是可行的。例如，在环境科学领域，对大型生态系统污染影响的全面研究可能会花费巨额资金。相反，研究人员可以选择研究较小的区域或特定物种，从而在不承担巨大成本的情况下收集重要数据。这种方法不仅节省资金，还允许更频繁的实验和迭代，导致更精炼的结果。在小规模工作中的另一个好处是能够快速识别潜在问题并进行调整。例如，在工程领域，构建一个小规模的原型可以揭示理论模型中可能没有明显的问题。通过测试产品或结构的小型版本，工程师可以收集反馈并在全规模生产之前进行必要的修改。这种迭代过程增强了创新能力，并可能导致更好的最终产品。然而，使用小规模也面临挑战。其中一个重大问题是可扩展性的问题。从较小项目中获得的结果可能并不总是能有效转化为更大应用。例如，在一个小社区成功的试点项目在全国范围内实施时可能会遇到意想不到的挑战。因此，研究人员和从业者必须仔细考虑从小规模研究中获得的发现如何适用于更广泛的背景。此外，在小规模工作时存在简化的风险。复杂系统通常涉及众多相互作用的变量，缩小研究范围可能会导致重要因素被忽视。例如，在社会科学中，研究一小群个体可能无法捕捉到更大群体中存在的经验和观点的多样性。因此，尽管小规模可以提供有价值的见解，但保持对其局限性的意识至关重要。总之，在各个领域使用小规模提供了许多优势，包括节省成本和快速迭代设计和概念的能力。然而，它也提出了挑战，尤其是在发现对更大系统的适用性以及简化风险方面。随着研究人员和从业者继续探索这种方法，平衡小规模的好处与对其局限性的认识至关重要，以确保获得的见解既有意义又适用于现实场景。