Interest Rates Essays (Examples)
Study Document
Clausewitz The Future Of The Air Power
… nations and enemies trying to come up with new strategies and weapons to perform even better next time. This phenomenon has made it interest to try and predict how future wars will be fought. Many military and conflict scholars have written theories that have attempted to predict ……
References
References
Bender, Willaim J., and William D. Bryant. Assuring the USAF core missions in the information age. Office of the Secretary of the Air Force Washington United States, 2016.
Clodfelter, Mark. "Back from the future: The impact of change on airpower in the decades ahead." Strategic Studies Quarterly 3, no. 3 (2009): 104-122.
Grissom, Adam. "The future of military innovation studies." Journal of strategic studies 29, no. 5 (2006): 905-934.
JOINT CHIEFS OF STAFF-JCS. "Joint Operating Environment JOE 2035: The Joint Force in a Contested and Disordered World. US Joint Chiefs of Staff, J7, Joint Force Development [cit. 2016-07-01]." (2016).
Study Document
Privacy In Social Networks Regarding Machine Learning
...Interest rates Abstract
This paper discusses the issue of privacy in social networks with respect to advances in machine learning. It shows how machine learning protocols have been developed both to enhance and secure privacy as well as to invade privacy and collect, analyze, predict data based on users’ information and experience online. The conflict between these two directions in machine learning is likely to lead to a system wherein machine learning algorithms are actively engaged in the subversion of one another, with one attempting to conceal data and the other attempting to uncover it. This paper concludes with recommendations for social networks and the issue of privacy regarding machine learning.
Introduction
Social networks have allowed an ocean of personal data to form that is now sitting there waiting for machine learning algorithms to collect it, analyze it, and recognize individuals on social media (Oh, Benenson, Fritz & Schiele, 2016). Machine learning……
References
References
Balle, B., Gascón, A., Ohrimenko, O., Raykova, M., Schoppmmann, P., & Troncoso, C. (2019, November). PPML\\\\\\\\\\\\'19: Privacy Preserving Machine Learning. In Proceedings of the 2019 ACM SIGSAC Conference on Computer and Communications Security (pp. 2717-2718). ACM.
Bilogrevic, I., Huguenin, K., Agir, B., Jadliwala, M., Gazaki, M., & Hubaux, J. P. (2016). A machine-learning based approach to privacy-aware information-sharing in mobile social networks. Pervasive and Mobile Computing, 25, 125-142.
Bonawitz, K., Ivanov, V., Kreuter, B., Marcedone, A., McMahan, H. B., Patel, S., ... & Seth, K. (2017, October). Practical secure aggregation for privacy-preserving machine learning. In Proceedings of the 2017 ACM SIGSAC Conference on Computer and Communications Security (pp. 1175-1191). ACM.
Hunt, T., Song, C., Shokri, R., Shmatikov, V., & Witchel, E. (2018). Chiron: Privacy-preserving machine learning as a service. arXiv preprint arXiv:1803.05961.
Lindsey, N. (2019). New Research Study Shows That Social Media Privacy Might Not Be Possible. Retrieved from https://www.cpomagazine.com/data-privacy/new-research-study-shows-that-social-media-privacy-might-not-be-possible/
Mohassel, P., & Zhang, Y. (2017, May). Secureml: A system for scalable privacy-preserving machine learning. In 2017 IEEE Symposium on Security and Privacy (SP) (pp. 19-38). IEEE.
Mooney, S. J., & Pejaver, V. (2018). Big data in public health: terminology, machine learning, and privacy. Annual review of public health, 39, 95-112.
Oh, S. J., Benenson, R., Fritz, M., & Schiele, B. (2016, October). Faceless person recognition: Privacy implications in social media. In European Conference on Computer Vision (pp. 19-35). Springer, Cham.
Study Document
Testing Essay
… most recent title/position held
Company name
Where and from when
Brief description of the work performed
Related or Unrelated Job Experience
Include anything interest that might make you stand out
Even if it is unrelated, the key is that it says something about YOU
Education
School
Years
……
Study Document
Elder Abuse
...Interest rates Introduction: What Is Known About Elder Abuse
Elder abuse occurs at an alarming rate: around one million incidences a year and perhaps more due to under-reporting and inconsistencies in defining what constitutes elder abuse (Falk, Baigis, Kopac, et al., 2012). Roberto (2016) estimates as many as one in every ten American elders experience some kind of abuse. Unfortunately, “there is no uniform term or agreed-upon definition used among state governments, researchers, health care and service providers, and advocates,” (Roberto, 2016, p. 302). Cultural and religious diversity further impedes the evolution of a comprehensive and universally applicable definition of elder abuse, in spite of the fact that some forms of abuse and certain instances can be considered unequivocal (Saghafi, Bahramnezhad, Poormollamirza, et al., 2019).
Some types of abuse may go undetected, such as financial abuse or identity theft, which could go unnoticed for years. Healthcare workers often feel powerless to intervene……
References
References
Falk, N. L., Baigis, J., Kopac, C., (August 14, 2012) \\\\\\\\\\\\"Elder Mistreatment and the Elder Justice Act\\\\\\\\\\\\" OJIN: The Online Journal of Issues in Nursing 17(3).
Forum on Global Violence Prevention; Board on Global Health; Institute of Medicine; National Research Council (2014). Ethical considerations. Washington (DC): National Academies Press (US); 2014 Mar 18.
Lacher, S., Wettstein, A., Senn, O., et al. (2016). Types of abuse and risk factors associated with elder abuse. Swiss Medical Weekly 2016(146): 1-10.
Lachs, M.S., Teresi, J.A., Ramirez, M., et al. (2016). The prevalence of ersident-to-resident elder mistreatment in nursing homes. Annals of Internal Medicine 165(4):229-236.
Malmedal, W., Iversen, M.H. & Kilvik, A. (2014). Sexual abuse of older nursing home residents: A literature review. Nursing Research and Practice 2015(Article 902515): http://dx.doi.org/10.1155/2015/902515
Roberto, K.A. (2016). The complexities of elder abuse. American Psychologist 71(4): 302-311.
Saghafi, A., Bahramnezhad, F., Poormollamirza, A., et al. (2019). Examining the ethical challenges in managing elder abuse: a systematic review. Journal of Medical Ethics and History of Medicine 2019(12): https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6642445/
Wangmo, T., Nordstrom, K. & Kressig, R.W. (2017). Preventing elder abuse and neglect in geriatric institutions: Solutions from nursing care providers. Geriatric Nursing 38(5): 385-392.
Study Document
Developing Organizational Practices And Policies
… ought to embrace the relevant measures in an attempt to protect patients from harm while at the same time acting in the best interest of the said patients. A policy inclined towards the promotion of patient safety could trigger an ethical conflict whereby possible risks have to ……
References
References
Agah, A. (Ed.). (2013). Medical Applications of Artificial Intelligence. New York, NY: CRC Press.
Barlow, J. (2016). Managing Innovation in Healthcare. Hackensack, NJ: World Scientific Publishing Company.
Cherry, B. & Jacob, S.R. (2018). Contemporary Nursing: Issues, Trends, & Management (8th ed.). St Louis, MO: Elsevier Health.
Jones, C.B. & Gates, M. (2007). The Costs and Benefits of Nurse Turnover: A Business Case for Nurse Retention. Online Journal of Issues in Nursing, 12(3).
Littlejohn, L., Campbell, J., Collins-McNeil, J. & Khayile, T. (2012). Nursing Shortage: A Comparative Analysis. International Journal of Nursing, 1(1), 22-27.
Kruse, C.S. & Beane, A. (2018). Health Information Technology Continues to Show Positive Effect on Medical Outcomes: Systematic Review. J Med Internet Res, 20(2).
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