染雾English Academic Writing: Reference List
Article 1: The Impact of Social Media on Youth Mental Health
Abstract: This article aims to explore the impact of social media on the mental health of young individuals. It provides an overview of various studies conducted in this field and discusses the potential negative effects of excessive social media use on mental well-being. The paper also highlights the importance of promoting digital literacy and responsible online behavior to mitigate the adverse effects of social media on youth mental health.
Reference List:
1. Twenge, J. M., Joiner, T. E., Rogers, M. L., & Martin, G. N. (2018). Increases in Depressive Symptoms, Suicide-Related Outcomes, and Suicide Rates Among U.S. Adolescents After 2010 and Links to Increased New Media Screen Time. Clinical Psychological Science, 6(1), 3-17.
2. Vannucci, A., Flannery, K. M., & Ohannessian, C. M. (2017). Social Media Use and Anxiety in Emerging Adults. Journal of Affective Disorders, 207, 163-166.
3. Lin, L. Y., Sidani, J. E., Shensa, A., Radovic, A., Miller, E., Colditz, J. B., ... & Primack, B. A. (2016). Association between social media use and depression among US young adults. Depression and Anxiety, 33(4), 323-331.
4. Primack, B. A., Shensa, A., Sidani, J. E., Whaite, E. O., Lin, L. Y., Rosen, D., ... & Miller, E. (2017). Social Media Use and Perceived Social Isolation Among Young Adults in the US. American Journal of Preventive Medicine, 53(1), 1-8.
5. Woods, H. C., & Scott, H. (2016). #Sleepyteens: Social Media Use in Adolescence is Associated with Poor Sleep Quality, Anxiety, Depression and Low Self-Esteem. Journal of Adolescence, 51, 41-49.
Article 2: The Role of Artificial Intelligence in Healthcare
Abstract: This article investigates the role of artificial intelligence (AI) in the healthcare industry. It provides an overview of the applications of AI in various healthcare domains, including diagnosis, treatment, and patient care. The paper also discusses the potential benefits and challenges associated with the integration of AI in healthcare and emphasizes the need for ethical considerations and human oversight to ensure the responsible use of AI technology.
Reference List:
1. Esteva, A., Kuprel, B., Novoa, R. A., Ko, J., Swetter, S. M., Blau, H. M., & Thrun, S. (2017). Dermatologist-level Classification of Skin Cancer with Deep Neural Networks. Nature, 542(7639), 115-118.
2. Topol, E. J. (2019). High-performance Medicine: The Convergence of Human and Artificial Intelligence. Nature Medicine, 25(1), 44-56.
3. Miotto, R., Wang, F., Wang, S., Jiang, X., & Dudley, J. T. (2017). Deep Learning for Healthcare: Review, Opportunities and Challenges. Briefings in Bioinformatics, 18(1), 123-135.
4. Saria, S., & Goldenberg, A. (2015). Subtyping Sepsis Patients Using Electronic Health Records. Journal of the American Medical Informatics Association, 22(2), 361-368.
5. Char, D. S., Shah, N. H., Magnus, D., Implementing Machine Learning in Health Care - Addressing Ethical Challenges. New England Journal of Medicine, 378(11), 981-983.
英文论文写作参考文献 篇三
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英文论文写作参考文献 篇四
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英文论文写作参考文献 篇五
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