fine-grained的音標為[fa?n??ɡre?n] ，基本翻譯為“精細的，微細的”。速記技巧可以嘗試使用諧音記憶法，將其記作“費根肉泥”，這樣便于聯想記憶。

Fine-grained這個詞的英文詞源可以追溯到拉丁語“finis”和“granum”，意為精細的顆粒。這個詞在英語中通常用來描述某種物質或過程具有精細的顆粒或細節。

變化形式：通常以-grained或-grainedly的形式變化，其中-grain表示顆粒或質地。

相關單詞：

1. Fine-grained：精細的，微細的，顆粒細小的。例如，“fine-grained sand”（細沙）和“fine-grained detail”（精細的細節）。

2. Coarse-grained：粗糙的，顆粒粗大的。例如，“coarse-grained texture”（粗糙的質地）和“coarse-grained behavior”（粗糙的行為）。

3. Granular：顆粒狀的，粒狀的。例如，“granular sand”（顆粒狀的沙子）和“granular matter”（顆粒狀物質）。

4. Grainy：有顆粒感的，粗糙的。例如，“grainy photo”（有顆粒感的照片）和“grainy sound”（粗糙的聲音）。

舉例來說，在計算機科學中，fine-grained可以被用來描述一種算法或系統具有精細的粒度，這意味著它可以對不同的任務或資源進行更精確的控制和管理。與此相反，coarse-grained則可能意味著系統或算法具有粗粒度，這意味著它可能無法對不同的任務或資源進行精確的控制和管理。此外，granular和grainy也可以用來描述某種物質或圖像具有精細的顆粒感或粗糙感。

總的來說，fine-grained這個詞在英語中具有豐富的含義和用法，它不僅描述了物質或過程的細節，還反映了人們對不同粒度或精細度的理解和應用。

常用短語：

1. fine-grained detail

2. fine-grained analysis

3. fine-grained granularity

4. fine-grained processing

5. fine-grained classification

6. fine-grained data

7. fine-grained knowledge

雙語例句：

1. The data is fine-grained, allowing for detailed analysis.

2. The classification of the data is fine-grained, making it difficult to identify patterns.

3. Fine-grained processing is necessary for optimizing the performance of the system.

4. The knowledge gained from fine-grained data analysis is invaluable.

5. The granularity of the data is too fine to be processed efficiently.

6. The knowledge of fine-grained detail is essential for effective decision-making.

7. The company"s data is highly fine-grained, making it difficult to manage efficiently.

英文小作文：

Fine-grained data analysis is becoming increasingly important in many fields, including business, science, and technology. This type of analysis involves examining very small units of data, such as individual transactions or measurements, to gain a deeper understanding of the system or process under investigation.

By analyzing fine-grained data, companies can gain insights into their operations that would otherwise be difficult to identify at a larger scale. This can help them improve their processes, identify bottlenecks, and make more informed decisions about their business operations.

In science and technology, fine-grained analysis can lead to more precise predictions and simulations of complex systems, such as climate change or machine learning models. It can also help researchers identify subtle patterns and trends that might otherwise be overlooked at a larger scale.

Overall, fine-grained data analysis is becoming an essential tool in many fields, as it allows for a more detailed and nuanced understanding of systems and processes. It has the potential to revolutionize many areas of research and practice, and it is exciting to see how this type of analysis will continue to evolve and expand in the future.