biomathematics

简明释义

英[ˌbaɪəʊˌmæθəˈmætɪks]美[baɪɑːmæθəˈmætɪks]

n. 生物数学

英英释义

单词用法

同义词

反义词

例句

1.By the maximum principles and reflection principles, the blow-up of positive solutions of a biomathematics model was studied, and blow-up set and blow-up rate are obtained.

利用反演原理和极值原理讨论了一类生物数学模型正解的爆破现象，获得了解的爆破集和爆破率。

2.By the maximum principles and reflection principles, the blow-up of positive solutions of a biomathematics model was studied, and blow-up set and blow-up rate are obtained.

利用反演原理和极值原理讨论了一类生物数学模型正解的爆破现象，获得了解的爆破集和爆破率。

3.This paper includes five chapters. The first chapter called introduction introduce the state of study about biomathematics.

本文分为五章：第一章是绪论，介绍了当前生物数学的研究状况。

4.Medical biomathematics is an important basic course in high medical college.

《医用生物数学》是高等医学院校一门重要的基础课程。

5.Researchers are using biomathematics 生物数学 to model the spread of infectious diseases.

研究人员正在使用生物数学 biomathematics 来模拟传染病的传播。

6.The field of biomathematics 生物数学 combines biology and mathematics to solve complex biological problems.

领域生物数学 biomathematics 将生物学和数学结合起来，以解决复杂的生物问题。

7.Students in the biomathematics 生物数学 program learn to apply mathematical theories to biological systems.

在生物数学 biomathematics 项目中的学生学习将数学理论应用于生物系统。

8.Using biomathematics 生物数学, scientists can predict population dynamics in ecology.

通过使用生物数学 biomathematics，科学家可以预测生态学中的种群动态。

9.The application of biomathematics 生物数学 has revolutionized the way we understand genetic variation.

应用生物数学 biomathematics 革新了我们对遗传变异的理解。

作文

In recent years, the field of science has witnessed an unprecedented convergence of disciplines, leading to the emergence of new and innovative areas of study. One such area that has gained significant attention is biomathematics, which can be defined as the application of mathematical techniques and theories to biological problems. This interdisciplinary field combines principles from biology, mathematics, and computer science to model complex biological systems and phenomena. The significance of biomathematics extends beyond mere academic interest; it plays a crucial role in various practical applications, including epidemiology, genetics, and ecology. The foundation of biomathematics lies in its ability to provide quantitative insights into biological processes. For instance, mathematical models can help researchers understand the spread of infectious diseases. By employing differential equations, scientists can simulate how a disease propagates through a population, taking into account factors such as transmission rates and recovery times. This modeling is essential for public health officials to devise effective strategies for disease control and prevention. Moreover, biomathematics has made significant contributions to the field of genetics. With the advent of genomic data, researchers are inundated with vast amounts of information. Statistical methods and algorithms derived from biomathematics allow scientists to analyze this data, identify genetic markers associated with diseases, and ultimately contribute to personalized medicine. By understanding the genetic basis of diseases, healthcare providers can tailor treatments to individual patients, improving outcomes and minimizing side effects. Another important application of biomathematics is in the study of ecological systems. Ecologists often face the challenge of understanding complex interactions within ecosystems, such as predator-prey relationships and competition among species. Mathematical models enable ecologists to simulate these interactions and predict how changes in one species' population can affect the entire ecosystem. This knowledge is vital for conservation efforts, as it helps inform decisions about habitat preservation and species management. Furthermore, the rise of computational power has greatly enhanced the capabilities of biomathematics. Advanced algorithms and simulations allow researchers to tackle increasingly complex biological questions. For example, in systems biology, researchers use mathematical models to integrate data from various biological processes, providing a holistic view of cellular functions. This integrative approach is essential for understanding diseases at a systems level, paving the way for new therapeutic strategies. Despite its numerous advantages, biomathematics also faces challenges. One significant issue is the need for accurate biological data to inform mathematical models. In many cases, the data may be incomplete or uncertain, leading to potential inaccuracies in predictions. Therefore, collaboration between biologists and mathematicians is crucial to ensure that models are grounded in realistic biological contexts. In conclusion, biomathematics represents a fascinating and essential intersection of mathematics and biology. Its applications span a wide range of fields, from public health to ecology and genetics. As we continue to face complex biological challenges, the importance of biomathematics will only grow. By fostering interdisciplinary collaboration and leveraging advanced computational techniques, we can unlock new insights into the intricate workings of life itself, ultimately benefiting society as a whole.

近年来，科学领域见证了学科之间前所未有的融合，导致新兴和创新研究领域的出现。其中一个受到显著关注的领域是生物数学，可以定义为将数学技术和理论应用于生物问题的领域。这个跨学科的领域结合了生物学、数学和计算机科学的原则，以建模复杂的生物系统和现象。生物数学的重要性不仅限于学术兴趣；它在流行病学、遗传学和生态学等各种实际应用中发挥着至关重要的作用。 生物数学的基础在于其提供对生物过程的定量洞察力。例如，数学模型可以帮助研究人员理解传染病的传播。通过使用微分方程，科学家可以模拟疾病如何在一个人群中传播，考虑到传播率和康复时间等因素。这种建模对公共卫生官员制定有效的疾病控制和预防策略至关重要。 此外，生物数学在遗传学领域也做出了重要贡献。随着基因组数据的出现，研究人员面临着大量信息的涌入。源自生物数学的统计方法和算法使科学家能够分析这些数据，识别与疾病相关的遗传标记，并最终促进个性化医学的发展。通过理解疾病的遗传基础，医疗提供者可以为个体患者量身定制治疗方案，从而改善结果并最小化副作用。 生物数学的另一个重要应用是在生态系统研究中。生态学家常常面临理解生态系统内部复杂相互作用的挑战，例如捕食者与猎物的关系以及物种之间的竞争。数学模型使生态学家能够模拟这些相互作用，并预测一种物种的种群变化如何影响整个生态系统。这种知识对于保护工作至关重要，因为它有助于告知栖息地保护和物种管理的决策。 此外，计算能力的提高极大增强了生物数学的能力。先进的算法和模拟使研究人员能够解决越来越复杂的生物问题。例如，在系统生物学中，研究人员使用数学模型整合来自各种生物过程的数据，为细胞功能提供整体视角。这种综合方法对于从系统层面理解疾病至关重要，为新的治疗策略铺平了道路。 尽管有许多优势，生物数学也面临挑战。一个重大问题是需要准确的生物数据来为数学模型提供依据。在许多情况下，这些数据可能是不完整或不确定的，导致预测可能不准确。因此，生物学家和数学家之间的合作对于确保模型扎根于现实的生物背景中至关重要。 总之，生物数学代表了数学与生物学之间一个迷人且至关重要的交叉点。它的应用范围涵盖了从公共卫生到生态学和遗传学的广泛领域。随着我们继续面临复杂的生物挑战，生物数学的重要性只会增加。通过促进跨学科合作并利用先进的计算技术，我们可以解锁对生命本身复杂运作的新见解，最终使整个社会受益。