帮我润色这段英文自我介绍:Dear professors, I am very glad to attend this interview. My name is Yu Yuezhou, from Shandong Province. I am 23 years old. I have got my diploma in computer Science and Technology from Shandong University of Science and Technology. In college, I always study hard because I think study can help me make faster progress. At the same time, I love hands-on practice, willing to study, not afraid of difficulties. In addition, I also served as the minister of a department in the Student Union, which helped me develop the habit of communicating with others and made many friends. If I had to use a sentence as my motto, I would choose - "you are more than what you have become now". Just because of this, I really want to become a graduate student to further study the professional field of computer and fully explore my potential. That's all for my introduction. Thank you.要求润色之后的英文要符合日常使用习惯

时间: 2023-03-26 13:03:16 浏览: 88
Dear professors, I am delighted to be here for this interview. My name is Yu Yuezhou, and I come from Shandong Province. I am 23 years old and hold a diploma in Computer Science and Technology from Shandong University of Science and Technology. During my college years, I always worked hard because I believe that studying diligently can help me make faster progress. I also enjoy hands-on practice, and I am always willing to learn and face challenges. Additionally, I served as the minister of a department in the Student Union, which helped me develop excellent communication skills and make many friends. If I had to choose a motto, it would be "you are more than what you have become now." This is why I am eager to pursue graduate studies in computer science and fully explore my potential. Thank you for considering my application.


作为 CSDN 开发的 AI 语言模型,我很高兴为您服务。关于您的英文自我介绍,我可以为您提供一些改善表达方式的建议: Good morning, professors! My name is Rickie and I come from Guangzhou, Guangdong Province. I recently graduated from Guangdong PeiZheng College with a degree in computer science and technology. It is my great pleasure to introduce myself to you today. 早上好,教授们!我叫 Rickie,来自广东省广州市。我最近从广东培正学院计算机科学与技术专业毕业。今天能够向您们介绍自己,我感到非常荣幸。 During my college years, I achieved a Level-3 certification in Network Technology from the National Computer Rank Examination, as well as a CET-4 certification. Additionally, in my senior year, I obtained the certificate of Information System Auditor. Furthermore, I completed a six-month internship at a company in the information management industry prior to graduation. 在大学期间,我通过国家计算机等级考试获得了网络技术三级证书,同时也取得了大学英语四级证书。此外,在我大四的时候,我还获得了信息系统审计员证书。在毕业前,我还完成了一份为期六个月的信息管理行业实习。 Finally, I sincerely hope that professors could give me the chance to be a part of this school. Thank you. 最后,我真诚地希望教授们能够给我一个机会成为这所学校的一员。谢谢。 希望这些改善表达方式的建议能够对您有所帮助。如果您还有其他问题或需要帮助,请随时联系我。
### 回答1: My Approach to Difficulties in Learning Learning is not always easy, and we all face difficulties and challenges at some point in our educational journey. When faced with difficulties, it is important to have a strategy for overcoming them. Here are a few approaches that I have found to be effective in tackling learning challenges. One of the most important things to do when faced with a difficult concept is to break it down into smaller, more manageable pieces. This can be done by identifying the key takeaways from the material and focusing on understanding those key points. Another useful approach is to seek help from others. Whether it be talking to a classmate, teacher or tutor, getting a different perspective on a difficult topic can be very beneficial. They can also offer guidance and advice on how to approach the material and provide resources to help with understanding. Practice is also a key aspect of overcoming learning difficulties. By practicing a concept or skill, it will become more familiar and easier to understand. For example, working on practice problems or doing sample questions can help in math or science classes, while using flashcards or repetition can help with memorization. Finally, it's important to be patient with yourself and not give up too easily. Learning is a process and it may take time to fully understand a concept. It's also important to remember that making mistakes is a natural part of the learning process. In summary, my approach to difficulties in learning involves breaking down the material into manageable pieces, seeking help from others, practicing regularly, and being patient and persistent. ### 回答2: My Approach to Difficulties in Learning When faced with difficulties in learning, I adopt a series of strategies to overcome them. Firstly, I break down the problem or concept into smaller, manageable parts. By doing so, I am able to focus on each component individually, gaining a clearer understanding of the whole picture. Secondly, I actively seek help and guidance. Whether it is from my teachers, classmates, or online resources, I am not hesitant to reach out and ask for assistance. Collaborating with others not only enhances my knowledge, but also allows me to learn from their perspectives and experiences. Additionally, I maintain a positive mindset, reminding myself that mistakes are an integral part of the learning process. Rather than becoming discouraged by setbacks, I view them as opportunities for growth and improvement. By embracing challenges, I become more resilient and develop a sense of perseverance. Moreover, I create a structured study routine to effectively manage my time and resources. I prioritize tasks and allocate sufficient time for each subject, ensuring that I dedicate quality attention to all aspects of my learning. This not only helps me stay organized but also prevents procrastination. Lastly, I regularly review and revise the material learnt. Repetition is key to solidifying knowledge and retaining information. By regularly revisiting past lessons, I reinforce my understanding and reinforce the concepts, improving long-term retention. In conclusion, my approach to difficulties in learning involves breaking down problems, seeking help, maintaining a positive mindset, creating a structured study routine, and reviewing regularly. By employing these strategies, I am able to effectively navigate obstacles and enhance my learning experience. ### 回答3: 我的应对困难的方法 Learning is a journey filled with ups and downs. Throughout my academic journey, I have encountered various difficulties that have challenged me and pushed me to find effective ways to overcome them. Here are some of my approaches to dealing with difficulties in learning. Firstly, when faced with a difficult concept or subject, I believe it is essential to seek help. I usually start by reaching out to my teachers or professors for guidance. They have the expertise and knowledge to explain complex ideas in a simplified manner. Additionally, I also consult my classmates who might have a better understanding of the topic. Collaborating with others not only enhances my learning experience but also provides alternative perspectives that help broaden my understanding. Furthermore, time management plays a crucial role in overcoming learning obstacles. I have learned to prioritize tasks and allocate my study time effectively. By setting realistic goals and breaking down larger tasks into smaller manageable chunks, I can stay organized and avoid feeling overwhelmed. This approach allows me to focus on one task at a time, increasing productivity and comprehension. Another strategy I employ is utilizing various resources available to me. Technology has proven to be a valuable tool in my learning process. I take advantage of online platforms, educational apps, and websites that offer tutorials and explanations. These resources provide additional support and allow me to review and reinforce my understanding of challenging concepts at my own pace. Lastly, a positive mindset is crucial when facing difficulties in learning. Instead of viewing challenges as setbacks, I perceive them as opportunities for growth. I remind myself that mistakes and failures are part of the learning process. By embracing a growth mindset, I become more resilient and motivated to push through and find solutions to my difficulties. All in all, my approach to difficulties in learning involves seeking help, effective time management, utilizing various resources, and maintaining a positive mindset. By implementing these strategies, I have been able to overcome obstacles and continue progressing in my academic journey.
During the past decade there has been an explosion in computation and information technology. With it has come vast amounts of data in a variety of fields such as medicine, biology, finance, and marketing. The challenge of understanding these data has led to the development of new tools in the field of statistics, and spawned new areas such as data mining, machine learning, and bioinformatics. Many of these tools have common underpinnings but are often expressed with different terminology. This book descibes the important ideas in these areas in a common conceptual framework. While the approach is statistical, the emphasis is on concepts rather than mathematics. Many examples are given, with a liberal use of color graphics. It should be a valuable resource for statisticians and anyone interested in data mining in science or industry. The book's coverage is broad, from supervised learing (prediction) to unsupervised learning. The many topics include neural networks, support vector machines, classification trees and boosting--the first comprehensive treatment of this topic in any book. Trevor Hastie, Robert Tibshirani, and Jerome Friedman are professors of statistics at Stanford University. They are prominent researchers in this area: Hastie and Tibshirani developed generalized additive models and wrote a popular book of that title. Hastie wrote much of the statistical modeling software in S-PLUS and invented principal curves and surfaces. Tibshirani proposed the Lasso and is co-author of the very successful An Introduction to the Bootstrap. Friedman is the co-inventor of many data-mining tools including CART, MARS, and projection pursuit.
This book is for anyone who wants to learn computer programming and knows absolutely nothing about it. Of course, if you are wondering whether this book is going to teach you how to create amazing websites or incredible applications, the answer is "no"—that is a job for other books. So many books out there can teach you those skills in PHP, Java, C++, or C#. Many of them even claim that they can teach you in 24 hours! Don’t laugh! They probably can do that, but all of them take one thing for granted—that the reader knows some basics about computer programming. None of those books, unfortunately, bothers to teach you the first thing that a novice programmer needs to learn, which is "Algorithmic Thinking." Algorithmic Thinking involves more than just learning code. It is a problem solving process that involves learning how to code. With over 800 pages, and containing more than 300 solved and 400 unsolved exercises, over 450 true/false, 150 multiple choice, and 180 review questions (the solutions and the answers to which can be found on the Internet), this book is ideal for students, teachers, professors, novices or average programmers, or for anyone who wants to start learning or teaching computer programming using the proper conventions and techniques. Table of Contents Section 1 Introductory Knowledge Chapter 1 How a Computer Works Chapter 2 PHP Chapter 3 Software Packages to Install Section 2 Getting Started with PHP Chapter 4 Introduction to Basic Algorithmic Concepts Chapter 5 Variables and Constants Chapter 6 Handling Input and Output Chapter 7 Operators Chapter 8 Trace Tables Chapter 9 Using NetBeans IDE Section 3 Sequence Control Structures Chapter 10 Introduction to Sequence Control Structures Chapter 11 Manipulating Numbers Chapter 12 Complex Mathematical Expressions Chapter 13 Exercises with a Quotient and a Remainder Chapter 14 Manipulating Strings Section 4 Decision Control Structures Chapter 15 Introduction to Decision Control Structures Chapter 16 The Single-Alternative Decision Structure Chapter 17 The Dual-Alternative Decision Structure Chapter 18 The Multiple-Alternative Decision Structure Chapter 19 The Case Decision Structure Chapter 20 Nested Decision Control Structures Chapter 21 Tips and Tricks with Decision Control Structures Chapter 22 Flowcharts with Decision Control Structures Chapter 23 More Exercises with Decision Control Structures Section 5 Loop Control Structures Chapter 24 Introduction to Loop Control Structures Chapter 25 The Pre-Test Loop Structure Chapter 26 The Post-Test Loop Structure Chapter 27 Counted Loop Structures Chapter 28 Nested Loop Control Structures Chapter 29 Tips and Tricks with Loop Control Structures Chapter 30 Flowcharts with Loop Control Structures Chapter 31 More Exercises with Loop Control Structures Section 6 Arrays Chapter 32 Introduction to Arrays Chapter 33 One-Dimensional Arrays Chapter 34 Two-Dimensional Arrays Chapter 35 Tips and Tricks with Arrays Chapter 36 Flowcharts with Arrays Chapter 37 More Exercises with Arrays Section 7 Subprograms Chapter 38 Introduction to Subprograms Chapter 39 User-Defined Functions Chapter 40 User-Defined Procedures Chapter 41 Tips and Tricks with Subprograms Chapter 42 Flowcharts with Subprograms Chapter 43 More Exercises with Subprograms





适用工作项目、毕业设计,课程设计,项目源码均经过助教老师测试,运行无误,欢迎下载 -------- 下载后请首先打开README.md文件(如有)




半导体 行业研究 行业报告 数据分析 数据报告






跟踪:PROFILES数据搜索:在网络上分析和搜索数据WWW 2018,2018年4月23日至27日,法国里昂1497语义Web检索与分析引擎Semih Yumusak†KTO Karatay大学,土耳其semih. karatay.edu.trAI 4 BDGmbH,瑞士s. ai4bd.comHalifeKodazSelcukUniversity科尼亚,土耳其hkodaz@selcuk.edu.tr安德烈亚斯·卡米拉里斯荷兰特文特大学utwente.nl计算机科学系a.kamilaris@www.example.com埃利夫·尤萨尔KTO KaratayUniversity科尼亚,土耳其elif. ogrenci.karatay.edu.tr土耳其安卡拉edogdu@cankaya.edu.tr埃尔多安·多杜·坎卡亚大学里扎·埃姆雷·阿拉斯KTO KaratayUniversity科尼亚,土耳其riza.emre.aras@ogrenci.karatay.edu.tr摘要语义Web促进了Web上的通用数据格式和交换协议,以实现系统和机器之间更好的互操作性。 虽然语义Web技术被用来语义注释数据和资源,更容易重用,这些数据源的特设发现仍然是一个悬 而 未 决 的 问 题 。 流 行 的 语 义 Web �


### 回答1: `min()`函数是MATLAB中的一个内置函数,用于计算矩阵或向量中的最小值。当`min()`函数接收一个向量作为输入时,它返回该向量中的最小值。例如: ``` a = [1, 2, 3, 4, 0]; min_a = min(a); % min_a = 0 ``` 当`min()`函数接收一个矩阵作为输入时,它可以按行或列计算每个元素的最小值。例如: ``` A = [1, 2, 3; 4, 0, 6; 7, 8, 9]; min_A_row = min(A, [], 2); % min_A_row = [1;0;7] min_A_col = min(A, [],


ILI9486手册 官方手册 ILI9486 is a 262,144-color single-chip SoC driver for a-Si TFT liquid crystal display with resolution of 320RGBx480 dots, comprising a 960-channel source driver, a 480-channel gate driver, 345,600bytes GRAM for graphic data of 320RGBx480 dots, and power supply circuit. The ILI9486 supports parallel CPU 8-/9-/16-/18-bit data bus interface and 3-/4-line serial peripheral interfaces (SPI). The ILI9486 is also compliant with RGB (16-/18-bit) data bus for video image display. For high speed serial interface, the ILI9486 also provides one data and clock lane and supports up to 500Mbps on MIPI DSI link. And also support MDDI interface.


跟踪:PROFILES数据搜索:在网络上分析和搜索数据WWW 2018,2018年4月23日至27日,法国里昂1485表征数据集搜索查询艾米莉亚·卡普尔扎克英国南安普敦大学开放数据研究所emilia. theodi.org珍妮·坦尼森英国伦敦开放数据研究所jeni@theodi.org摘要在Web上生成和发布的数据量正在迅速增加,但在Web上搜索结构化数据仍然存在挑战。在本文中,我们探索数据集搜索分析查询专门为这项工作产生的通过众包-ING实验,并比较它们的搜索日志分析查询的数据门户网站。搜索环境的变化以及我们给人们的任务改变了生成的查询。 我们发现,在我们的实验中发出的查询比数据门户上的数据集的搜索查询要长得多。 它们还包含了七倍以上的地理空间和时间信息的提及,并且更有可能被结构化为问题。这些见解可用于根据数据集搜索的特定信息需求和特征关键词数据集搜索,�