论文翻译
论文 英文文翻译

Guidance Notes for completing application formPart 1 Personal InformationEligibility to work at the British CouncilWe are only able to accept applications from individuals who have the right to work in the country to which they have applied.Personal InformationThe British Council’s normal retirement age is 65. If you are over this age, or within 6 months of it, at the time you apply to join us, in line with the Equality (Age) Regulations 2006, we will consider your application but reserve the right to reject it if we consider that we would be unlikely to derive sufficient benefit from your appointment in the period before your retirement.Criminal Convictions (UK)Subject to certain exempted occupations, convictions that are ‘spent’ under the Rehabilitation of Offenders Act 1974 need not be mentioned. Please be aware that declaring a conviction will not automatically disqualify you from being employed unless this post is subject to a Criminal Records Bureau Check.If the post is subject to a Criminal Records Bureau Check, British Council is committed to safeguarding and promoting the welfare of children and young people and expects all of its partners to share this commitment. Appointment to these roles are subject to enhanced Criminal Records Bureau (CRB) checks in the UK, and, where appropriate, equivalent systems overseas.Data ProtectionThe British Council will use the information you provide in this form to process your application. If your application is successful and you take up employment with the British Council, this form will be kept on your personnel file and some details from it will be held electronically by Human Resources in line with the Data Protection Act (1998). If your application is unsuccessful, this form willbe kept on file for one year after completion of the recruitment exercise and then securely destroyed.The British Council will treat all personal details in accordance with UK law and its own privacy policy. Under Data Protection law you have the right to ask for a copy of the information we hold on you, for which we may charge a fee, and the right to ask us to correct any inaccuracies in that information. If you do want more information about this please contact your local British Council office or the Data Protection Team dataprotection@. Part 2 Job-Related InformationDisabilityThe UK Disability Discrimination Act 1995 defines a person with a disability as someone who has a physical or mental impairment (including a learning or sensory impairment) that has a substantial and long term adverse effect on his/her ability to carry out normal day to day activities. In any country, it is British Council policy to interview all applicants who are disabled and who meet the essential criteria for an advertised job.Employment and professional informationPlease give details of your employment for the last 10 years, or since leaving full-time education if this is sooner, starting with the most recent employment. Account for all your time, including voluntary work or other periods away from work. Please be aware that it will not prejudice your application if you disclose a period of ill health or a period out of formal employment (e.g. time spent at home bringing up children).Other relevant experiencePlease note that this does not need to be limited to work experience. It can include experience of volunteering or of roles held within the community e.g. youth worker, community worker or leader etc..。
论文中英文翻译

An Analysis of Cooperative Principles andHumorous Effects in Friend s合作原则的分析和在朋友的幽默效应Humor is a very intriguing and fascinating phenomenon of human society, which is multidimensional, complex and all pervasive. Therefore, many scholars and experts at all times and in all over the world have done profound research on humor.幽默是人类社会的一个非常有趣和引人入胜的现象,这是多方面的,复杂和无孔不入的。
所以,在任何时候,在世界各地的许多学者和专家总是对幽默进行深入的研究。
The significant functions of humor have aroused the interest of many scholars. About 2,000 years ago, people began the research on humor. However, the study of humor is not a simple task for the reason that it is an interdisciplinary science drawing upon a wide range of academic disciplines including biology, psychology, sociology, philosophy, geography, history, linguistics, literature, education, family science, and film studies and so on. Moreover, there are different reasons and purposes for humor. One may wish to be sociable, cope better, seem clever, solve problems, make a critical point, enhance therapy, or express something one could not otherwise express by means of humor.显著幽默的功能已引起许多学者的兴趣。
本科毕业论文外文翻译

本科毕业论文外文翻译Undergraduate Thesis External Translation (700 Words)Title: The Impact of Social Media on Consumer Behavior Abstract:With the rapid development of social media, its influence on consumer behavior has drawn increasing attention from scholars and marketers. This paper aims to explore the impact of social media on consumer behavior from the perspective of information acquisition, interpersonal communication, and brand evaluation. Through a literature review and analysis, it is found that social media has a significant impact on consumer behavior by providing easy access to information, facilitating communication between consumers, and influencing brand perception. This research provides valuable insights for marketers in understanding and utilizing social media platforms to effectively engage with consumers and influence their purchasing decisions.1. IntroductionSocial media has become an integral part of people's daily lives, and its impact on consumer behavior cannot be ignored. This paper aims to investigate the impact of social media on consumer behavior and provide practical implications for marketers. The research question is: How does social media influence consumer behavior in terms of information acquisition, interpersonal communication, and brand evaluation?2. Information Acquisition2.1 Social media provides a platform for consumers to easilyaccess information about products and services. Through social media platforms such as Facebook, Instagram, and Twitter, consumers can obtain product reviews, comparisons, and recommendations from peers. This information influences consumers' purchasing decisions and enhances their knowledge about products.2.2 Social media also serves as a source of entertainment and inspiration, enabling users to discover new trends and products. Influencers and celebrities, who gain popularity through social media, often endorse products and create consumer desire for these items. This form of indirect advertising through social media has a significant impact on consumer behavior.3. Interpersonal CommunicationSocial media platforms enable users to interact with friends, family, and even strangers. This communication aspect of social media hasa direct influence on consumer behavior.3.1 Word-of-mouth (WOM) communication through social media is prevalent. Consumers often share their positive or negative experiences with products on social media platforms, which influence others' opinions and purchasing decisions. These online conversations have a wide reach and can greatly impact brand perception.3.2 Social media facilitates communication between consumers and brands. Consumers can directly communicate with brands through social media channels, providing feedback, asking questions, and seeking assistance. This two-way communicationimproves customer satisfaction and loyalty.4. Brand Evaluation4.1 Social media plays a crucial role in brand evaluation. Consumers often seek information about brands, their values, and their reputation on social media platforms. Positive or negative brand mentions and reviews on social media greatly influence consumers' perceptions of brands, leading to either increased or decreased brand trust and loyalty.4.2 Social media influencers and celebrities endorsing particular brands also impact brand evaluation. These individuals' recommendations and opinions can greatly influence consumers' perceptions and preferences for specific brands.5. ConclusionIn conclusion, social media has a significant impact on consumer behavior by influencing information acquisition, interpersonal communication, and brand evaluation. Marketers should utilize and engage with social media platforms to effectively reach and influence their target customers. This research provides insights for marketers to enhance their social media strategies and create effective brand-consumer interactions.。
英文论文翻译软件

英文论文翻译软件
目前市面上有很多英文论文翻译软件可供选择。
以下是几个常见的英文论文翻译软件:
1. Google翻译: Google翻译是一个免费在线翻译工具,可以翻译多种语言,包括英语。
它使用机器翻译技术,可以快速翻译大量文本。
然而,由于机器翻译的限制,有时会出现语法和语义错误。
2. DeepL:DeepL是一种基于神经网络的翻译软件,具有较高的翻译质量。
它可以翻译多种语言,包括英语。
DeepL能够更好地理解上下文,提供更准确的翻译。
它提供了免费和付费版本。
3. 百度翻译:百度翻译是一种免费在线翻译工具,提供多种语言翻译,包括英语。
它使用机器翻译和统计翻译方法,能够提供基本的翻译服务。
然而,由于机器翻译的限制,翻译质量可能有限。
总的来说,这些英文论文翻译软件提供了便捷的翻译服务,但在翻译质量和准确性方面可能存在一定的限制。
对于重要的论文翻译,仍然建议寻求专业翻译服务或母语人士的协助,以确保最准确和流畅的翻译结果。
毕业论文英语翻译及原文

=H( - )(1)
respectively, the expression can be easily gained as follows
Then, the relation equation between the two baseline vectors is expressedas
There are two steps in the GPS observation data processing course. They are baseline calculationand network adjustment. The baseline vectors in WGS-84 can be firstly got using baseline calculation.Secondly, the baseline vector transformation from WGS-84 to the station orthogonal coordinatesystem can be done with (3). At last, the adjustment of GPS deformatihestation orthogonal coordinate system can be successfully finished.
If the position vector of the station orthogonal coordinate system originP0inWGS-84 isexpressed as = , according to thegeodetic latitude and longitude( , ), theposition vector
论文英文翻译

论文英文翻译Essay 1 - College EducationIn recent years, college education has become a topic of great debate. Some people argue that a college degree is essential for success in today's society, while others believe that it is not necessary. This essay will argue that college education is indeed important and beneficial for several reasons.Firstly, obtaining a college degree can provide individuals with better career opportunities. In today's competitive job market, employers often prioritize candidates with a higher education background. College graduates are more likely to find stable employment and earn higher salaries compared to those without a degree. Furthermore, many professions require specific knowledge and skills that can only be acquired through a college education. For example, doctors, engineers, and lawyers must complete several years of study in order to obtain the necessary qualifications for their respective fields.Secondly, college education can help individuals develop important life skills. During their time at college, students are exposed to a variety of subjects and experiences, which enable them to develop critical thinking, problem-solving, and communication skills. College also provides opportunities for students to engage in extracurricular activities and interact with a diverse group of individuals. This fosters social and cultural awareness, as well as teamwork and leadership skills. These skills are valuable not only in the workplace but also in everyday life.Moreover, college education promotes personal growth and lifelong learning. The college environment encourages students to explore new ideas, challenge their assumptions, and discover their passions. It provides a platform for intellectual development and self-discovery. Students are exposed to a wide range of subjects, perspectives, and cultures, which broadens their knowledge and worldview. College education also instills a sense of curiosity and a desire for continuous learning, which are essential qualities in today's rapidly changing world.In conclusion, college education is important and beneficial for several reasons. It provides better career opportunities, helps individuals develop important life skills, and promotes personal growth and lifelong learning. While it is true that college education may not be necessary for everyone, obtaining a degree can significantly enhance one's chances of success in both personal and professional aspects of life.。
论文翻译中译英
论文翻译中译英IntroductionTranslation plays a crucial role in promoting global communication and understanding. In academic settings, researchers often need to translate their papers from their native language to English in order to reach a wider audience. However, translating academic papers from Chinese to English can be a challenging task due to differences in language structure, cultural nuances, and academic conventions. This paper aims to explore the key challenges and strategies in translating academic papers from Chinese to English.Challenges in Chinese-English Translation1. Sentence Structure DifferencesChinese and English have fundamentally different sentence structures. Chinese sentences tend to be longer and more complex, while English sentences are shorter and more concise. Translating Chinese sentences into English requires careful restructuring to ensure clarity and readability. This canbe particularly challenging when technical or specialized terminology is involved.2. Cultural NuancesCultural nuances and idiomatic expressions are often deeply embedded in Chinese academic writing. Translating these expressions into English while retaining their intended meaning can be difficult. Chinese idioms, proverbs, and metaphors often have no direct equivalents in English and may require adaptation or substitution. Translators need to strike a balance between preserving the cultural context of the original text and ensuring that the translated version is relatable to English-speaking readers.3. Academic ConventionsDifferent academic disciplines have their own set of conventions and terminology. When translating academic papers, it is essential to be familiar with the specific terminology and conventions of the respective field. This requires not only linguistic competency but also a deep understanding of the subject matter. Translators must ensure that their translation accurately represents the originalmeaning and intention of the author while adhering to the academic standards of the target language.Strategies in Chinese-English Translation1. Understanding the Source TextBefore beginning the translation process, it is crucial to thoroughly understand the source text. This involves reading the original paper multiple times to grasp the main ideas, arguments, and key terms. Familiarizing oneself with the subject matter and the author's writing style can help in producing a more accurate and faithful translation.2. Translating for the Target AudienceConsideration of the target audience is essential in academic translation. Translators should be aware of the level of expertise and familiarity of the audience with the subject matter. Technical terms and jargon may need to be explained or simplified to ensure readability. Additionally, cultural references should be carefully adapted to the target culture to maintain relevance and avoid confusion.3. Utilizing Translation ToolsTranslation tools such as dictionaries, glossaries, and online resources can be valuable aids in the translation process. Using specialized dictionaries or glossaries for the respective academic field can help with finding accurate and appropriate terminology. Online translation forums and communities can also be useful for seeking advice and clarifications from other translators or subject matter experts.4. Engaging in Continuous LearningTranslation is a lifelong learning process. Translators should actively seek opportunities to improve their language skills and subject knowledge. Keeping up with the latest research and developments in the field can help translators to stay updated with the terminology and conventions. Professional development courses and workshops can also enhance translation skills and provide insights into best practices.ConclusionTranslating academic papers from Chinese to English requires a combination of linguistic proficiency, subject knowledge,and cultural understanding. The challenges in sentence structure, cultural nuances, and academic conventions need to be carefully navigated. By employing the strategies discussed, translators can overcome these challenges and produce high-quality translations that effectively communicate the intended meaning to the target audience.。
毕业论文英文翻译
毕业论文英文翻译Title: The Impact of Artificial Intelligence on Employment Abstract:This paper explores the impact of artificial intelligence (AI) on employment. The rise of AI technologies has sparked concerns about its potential to replace human jobs. Through an analysis of existing literature and case studies, this study investigates the ways in which AI has affected various industries and job sectors. The findings indicate that while AI has the potential to automate certain tasks and reduce the need for human intervention, it also creates new job opportunities and contributes to economic growth. Additionally, the study highlights the importance of retraining and upskilling workers to adapt to the changing job market. Overall, this research contributes to a better understanding of the complex relationship between AI and employment and provides insights into proactive strategies to address the challenges posed by AI. Introduction:Artificial intelligence has emerged as a powerful technology with the potential to transform various aspects of society, including the workforce. The rapid advancement of AI has raised concerns about potential job losses and increased automation. This study aims to explore the impact of AI on employment and identify strategies to mitigate negative effects. By examining existing literature and case studies, this research provides a comprehensive analysis of AI's influence on different industries and job sectors.Literature Review:The literature offers a wide range of perspectives on the impact ofAI on employment. Some studies suggest that AI will lead to significant job losses in sectors such as manufacturing, transportation, and customer service. They argue that AI technologies, such as autonomous vehicles and chatbots, can perform tasks previously done by humans more efficiently and at a lower cost. On the other hand, other studies argue that AI will create new job opportunities and enhance productivity. For example, the healthcare sector benefits from AI technologies by improving diagnosis accuracy and streamlining administrative processes.Case Studies:This study includes several case studies that examine the impact of AI on specific industries. The manufacturing industry, for instance, has experienced both job losses and job creation due to the introduction of AI. While certain tasks have been automated, new roles related to AI maintenance and programming have emerged. Similarly, the retail industry has witnessed the integration of AI technologies, leading to job displacement in traditional retail jobs but also the creation of new positions in data analysis and online customer support.Mitigation Strategies:To address the challenges posed by AI, strategies should focus on retraining and upskilling the workforce to adapt to the changing job market. Governments and organizations should encourage workers to acquire in-demand skills such as data analysis and AI programming. Additionally, collaboration between academia and industry is crucial to ensure that education and training programs remain relevant and effective. Finally, policies that support jobtransition and income support for displaced workers will help minimize the negative impact of AI on employment. Conclusion:The impact of artificial intelligence on employment is a complex and multifaceted issue. While concerns about job losses are valid, it is important to recognize that AI also creates new job opportunities and contributes to economic growth. By implementing proactive strategies, such as retraining and upskilling, societies can better navigate the changes brought about by AI and ensure a future where humans and machines can coexist harmoniously.。
论文外文文献翻译
论文外文文献翻译以下是一篇700字左右的论文外文文献翻译:原文题目:The Role of Artificial Intelligence in Medical Diagnostics: A Review原文摘要:In recent years, there has been a growing interest in the use of artificial intelligence (AI) in the field of medical diagnostics. AI has the potential to improve the accuracy and efficiency of medical diagnoses, and can assist clinicians in making treatment decisions. This review aims to examine the current state of AI in medical diagnostics, and discuss its advantages and limitations. Several AI techniques, including machine learning, deep learning, and natural language processing, are discussed. The review also examines the ethical and legal considerations associated with the use of AI in medical diagnostics. Overall, AI has shown great promise in improving medical diagnostics, but further research is needed to fully understand its potential benefits and limitations.AI在医学诊断中发挥的作用:一项综述近年来,人工智能(AI)在医学诊断领域的应用引起了越来越多的关注。
论文翻译英文
论文翻译英文Title: The Impact of Artificial Intelligence on the Banking SectorAbstract: This study aims to analyze the impact of artificial intelligence (AI) on the banking sector. AI has emerged as a disruptive technology in recent years and has the potential to revolutionize various industries, including banking. The paper begins by providing an overview of AI and its different applications. It then explores the specific ways in which AI is transforming the banking sector, including customer service, risk management, fraud detection, and process automation. Finally, the study examines the challenges and ethical considerations associated with the implementation of AI in banking. The findings of this research contribute to a better understanding of the role of AI in the banking sector and provide insights for banks and policymakers in adapting to the changing landscape.Introduction:With the rapid advancement of technology, the banking sector has witnessed significant changes in recent years. One of the most prominent advancements is the utilization of artificial intelligence (AI). AI refers to the simulation of human intelligence in machines that are programmed to think and learn like humans. The integration of AI in the banking sector has led to improvements in efficiency, customer experience, and overall decision-making. This paper aims to explore the impact of AI on the banking sector, focusing on customer service, risk management, fraud detection, and process automation.AI in Customer Service:AI has transformed customer service in the banking sector. Chatbots and virtual assistants powered by AI technology have become key tools in handling customer queries and providing personalized experiences. These AI-enabled systems can handle a large volume of customer inquiries simultaneously, resulting in faster response times and improved customer satisfaction. Additionally, AI-powered systems can leverage customer data to provide tailored recommendations and personalized offers, enhancing the customer experience.AI in Risk Management:Risk management is a critical aspect of banking operations. AI algorithms can analyze vast amounts of data to identify patterns, detect anomalies, and predict potential risks more accurately. This enables banks to make more informed decisions regarding loans, credit assessment, and investment portfolios. By incorporating AI into risk management systems, banks can enhance their ability to identify and mitigate potential risks while ensuring compliance with regulatory requirements.AI in Fraud Detection:Fraud detection is another area where AI has significantly impacted the banking sector. AI algorithms can analyze vast datasets to identify fraudulent patterns, enabling banks to detect and prevent fraud in real-time. Machine learning algorithms continuously learn and adapt to new patterns, helping banks stay ahead of fraudsters who constantly evolve their tactics. AI-powered fraud detection systems not only save banks significant financial losses but also enhance trust and confidence amongcustomers.AI in Process Automation:AI has enabled banks to automate various processes that were previously time-consuming and labor-intensive. For instance, AI-powered robots can now perform tasks such as data entry, document processing, and account reconciliation with greater accuracy and efficiency. Automation of these processes not only reduces costs but also minimizes the likelihood of human error, resulting in improved operational efficiency.Challenges and Ethical Considerations:Despite the numerous benefits of AI in the banking sector, several challenges and ethical considerations need to be addressed. These include data privacy and security concerns, potential job displacement, algorithmic bias, and the need for regulatory frameworks to govern the use of AI in banking. It is crucial for banks and policymakers to develop strategies that ensure the responsible and ethical use of AI technologies.Conclusion:Overall, AI has shown great potential in transforming the banking sector. It has revolutionized customer service, risk management, fraud detection, and process automation. However, the implementation of AI in banking comes with its own set of challenges and ethical considerations. Banks and policymakers need to strike a balance between harnessing the benefits of AI and addressing the associated risks. By doing so, they can adapt to the changing landscape and stay competitive in the digital era.。
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Stress-Laminated Timber Decks Subjected to EccentricLoads in the Ultimate Limit StateIt is generally accepted that deflection in beams is highly dependent on the material property E L. For 3D plates, it is not quite as easy to identify the parameters that have a major effect on plate behavior. E L still has the greatest influence, because the stiffness in the longitudinal direction is several times greater than the stiffness in the transverse direction. The study of various material parameters revealed that the in-plane shear modulus, {GLT}, has a greater influence on deck deflection compared with the transverse MOE, {ET}. A reduction in GLT will increase the maximum deflection of the plate and thereby also the longitudinal bending moment. The twisting moment in the deck will be significantly smaller if GLT is reduced. The longitudinal out-of-plane shear modulus, GLH, was of little influence of the load distribution and the deflection values. Also the out-of-plane shear modulus in the transverse direction, GHT, has an insignificant influence on the load distribution. These values are obtained when the load is positioned at the very edge of the deck. However, this phenomenon can also be observed if the load is positioned further away from the edge, which was also shown by Karlsson et al. (2009). The difference between the first two material models [CEN (2004b) and Ritter (1990)] is not as great as that between materials 3 and 4 [Karlsson et al. (2009) and OHBDC (1983)]. The first two material models represent values which have been and are still being used in design. One plausible cause of the high and low values in Table 1 is the influence of the test methods. Full-scale tests perfumed by both Crews (2002) and Dahl et al. (2006) generally result in higher values for the mechanical properties of the deck than tests performed on smaller test specimens using the method proposed by Tsai(1965). The prestress also has an effect on the mechanical properties of the deck. However, this is not included in any design codes or recommendations.There is a significant difference between the first two equivalent beam models compared with the third equivalent beam theory studied. The maximum deflection obtained by the method in CEN (2004b) is 85% larger than the deflection according to Ritter’s method when the deck is loaded close to the edge (eccentric load). The difference in the deflection between Ritter’s and Crews’ method is much smaller. The two numerical plate theories formulated by Kirchhoff and Mindlin-Reissner result in deflection between that produced by the two equivalent beam theories. The variation in deflection between Kirchhoff and Mindlin-Reissner is fairly small, 55.7 and 52.4mm, respectively. Neither of the two plate theories is recommended for use when the deformation is lager than one-tenth of the thickness of the plate. The risk of the membrane effects on the plate becomes too great when the deformation is large. In the ultimate load test, the deflection was approximately a quarter of the plate thickness.From the results in the full-scale test by Ekholm et al. (2012), it was shown that the deflection become nonlinear at relatively low load levels. The nonlinearity started at loads of 150-200 kN, which corresponds to approximately 20% of the ultimate load. Furthermore, it was observed that the nonlinearity is directly dependant on the loadposition and the amount of prestress. When the load is positioned very close to the edge, the load-deflection curves are nonlinear. The test also showed that the deflection at the edge of the deck increases when the prestress is reduced. One plausible cause of this nonlinearity is horizontal interlaminar slip because of the twisting moment, as discussed by Ekevad et al. (2011). The maximum deflection from the test was 65.4mm immediately before failure, as shown in Fig.5. The linear design method with the beat prediction of the deflection was the equivalent beam theory, with a prediction of 61.5mm. Plate theory predicted that the deflection was between 52.4 and 55.7 mm. Ritter’s and Crews’ equivalent beam theory only predicted a deflection of 33.2-34.3 mm. Neither Ritter’s nor Crews’ method allows the load to be positioned this close to the edge and, as a result, their methods do not apply for an eccentric load very close to the edge of the deck. All five of the design methods underestimated the deflection of the tested deck. At the beginning of the load sequence, before interlaminar slip, the deflection in the tested deck could be predicted with plate theory. This was shown by comparing the deflection using plate theory with a test with a linear response, as shown in Fig. 6. When the load was positioned centrically on the deck, the results were quite different. The equivalent beam theory in CEN (2004b) now overestimated the deflection by more than 100%. Both Ritter’s and Crews’ equivalent beam theories, together with the two plate theories, now all predict the deflection fairly well.In several parts of the world, there are rail and curb systems, which also prevent the vehicle from driving at the edge. However, in some countries, such as Sweden, very small curbs are used and vehicles can drive very close to the edge. When the load in the numerical models was moved only half a meter away from the edge (toward the middle), the deflection and stress were reduced significantly. The maximum deflection was reduced from 52.4 to 34.8 mm. The deflection at this eccentric load position is only 12% lager than the deflection obtained from the centric load position. An eccentric load position like this is more similar to both North American and Australian standards. This shows that it might be more economical to introduce a wider curb to protect the deck from these extreme cases of eccentric loading. This would lead to a significant reduction in vehicle deformation of the deck.。