References
Jiang, C., Song, J., Liu, G., Zheng, L., & Luan, W. (2018). Credit card fraud detection: A novel approach using aggregation strategy and feedback mechanism. IEEE Internet of Things Journal, 5(5), 3637-3647.
Li, Z., Liu, G., & Jiang, C. (2020). Deep representation learning with full center loss for credit card fraud detection. IEEE Transactions on Computational Social Systems, 7(2), 569-579.
Tingfei, H., Guangquan, C., & Kuihua, H. (2020). Using Variational Auto Encoding in Credit Card Fraud Detection. IEEE Access, 8, 149841-149853.
Zheng, L., Liu, G., Yan, C., & Jiang, C. (2018). Transaction fraud detection based on total order relation and behavior diversity. IEEE Transactions on Computational Social Systems, 5(3), 796-806.
Zhang, Z., Chen, L., Liu, Q., & Wang, P. (2020). A Fraud Detection Method for Low-Frequency Transaction. IEEE Access, 8, 25210-25220.
Zanetti, M., Jamhour, E., Pellenz, M., Penna, M., Zambenedetti, V., & Chueiri, I. (2017). A tunable fraud detection system for advanced metering infrastructure using short-lived patterns. IEEE Transactions on Smart grid, 10(1), 830-840.
Huang, D., Mu, D., Yang, L., & Cai, X. (2018). CoDetect: Financial fraud detection with anomaly feature detection. IEEE Access, 6, 19161-19174.
Omair, B., & Alturki, A. (2020). A Systematic Literature Review of Fraud Detection Metrics in Business Processes. IEEE Access, 8, 26893-26903.
Zhu, Bing & Yang, Wenchuan & Wang, Huaxuan & Yuan, Yuan. (2018). A hybrid deep learning model for consumer credit scoring. 205-208. 10.1109/ICAIBD.2018.8396195.
Nie, G., Wei, R., Zhang, L., Tian, Y., and Shi, Y., 2011. Credit card churn forecasting by logistic regression and decision tree. Expert Systems with Applications 38, 12, 15273-15285.
Cecotti, Hubert & Rivera, Agustin & Farhadloo, Majid & Villarreal, Miguel. (2020). Grape detection with Convolutional Neural Networks. Expert Systems with Applications. 159. 113588. 10.1016/j.eswa.2020.113588.
Yifei, R. A. O. (2016). Big Data Algorithm Applied to Credit Risk Assessment Model. International Journal of Simulation–Systems, Science & Technology, 17(42).
Sarigul, Mehmet & Ozyildirim, B.M. & Avci, Mutlu. (2019). Differential convolutional neural network. Neural Networks. 116. 10.1016/j.neunet.2019.04.025.
Zhou, F.-Y & Jin, Linpeng & Dong, Jianfang. (2017). Review of Convolutional Neural Network. Jisuanji Xuebao/Chinese Journal of Computers. 40. 1229-1251. 10.11897/SP.J.1016.2017.01229.
Dawood, E. A. E., Elfakhrany, E., & Maghraby, F. A. (2019). Improve Profiling Bank Customer’s Behavior Using Machine Learning. IEEE Access, 7, 109320-109327.
Kvamme, Håvard & Sellereite, Nikolai & Aas, Kjersti & Sjursen, Steffen. (2018). Predicting Mortgage Default using Convolutional Neural Networks. Expert Systems with Applications. 102. 10.1016/j.eswa.2018.02.029.
Zhou, X., Zhang, W., & Jiang, Y. (2020). Personal Credit Default Prediction Model Based on Convolution Neural Network. Mathematical Problems in Engineering, 2020.
Yu, Z. Y., & Zhao, S. F. (2011, December). Bank credit risk management early warning and decision-making based on BP neural networks. In 2011 IEEE International Symposium on IT in Medicine and Education (Vol. 2, pp. 528-532). IEEE.
Cheng, D., Xiang, S., Shang, C., Zhang, Y., Yang, F., & Zhang, L. (2020, April). Spatio-Temporal Attention-Based Neural Network for Credit Card Fraud Detection. In Proceedings of the AAAI Conference on Artificial Intelligence (Vol. 34, No. 01, pp. 362-369).
>Management homework help
UncategorizedI need 150 words Initial Post for each discussion and two replies of 50-60 words each for each one discussion
Module 12 Discussion
Describe one physical, chemical, biological or psycho-social stress hazard that workers can be exposed to on the job and an associated adverse health effect with the exposure. Discuss one strategy that can be implemented to prevent or reduce the exposure. Explain why it is important for primary healthcare providers, (physicians, nurse practitioners, and physician assistants) to ask patients about their occupation when performing routine physical exams.
Module 4 Discussion
Considering the topic this week of natural disasters (Hurricane Katrina), what do you think is the most likely disaster that would hit Ohio? Also, what about the Northeast Ohio region specifically? What would local public health’s role be in that event? Justify your response, being concise with spelling and grammar, and respond with a single (1), detailed follow up reply to a classmate’s post. Be sure to cite sources for both your main and single, follow up reply response.
Module 13 Discussion
View the scenario presented in the document titled “M12 Activity – Public Health Screening Program” which describes a new screening test and its potential use in developing public policy.
Discuss the scenario with your assigned group. Consider the various aspects of analyzing and interpreting the data, including those aspects posed in the questions outlined in the document. Suggest and calculate analytic measures and discuss their interpretations. You must provide at least one substantive group discussion post by Thursday at 11:59PM ET.
Then, suggest and discuss recommendations you think should be made based on the information provided. You must provide at least one additional group discussion post by Sunday at 11:59PM ET
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Identify and discuss a few targeted populations in your community that are of interest to you, and explain your reasons for the selections identified.
UncategorizedAggregate Assessment
Discussion Question:
In community and public health nursing, the target of care is the community, thus the community is the client receiving the care. The role of the nurse is to evaluate health concerns and develop an aggregate plan of care to address those concerns. Aggregates or target populations in the community may include child care centers, cities, counties, senior centers, homeless shelters, minority communities, faith-based organizations, work sites, schools, or other populations. Identify and discuss a few targeted populations in your community that are of interest to you, and explain your reasons for the selections identified.
Citations should conform to APA guidelines. You may use this APA Citation Helper as a convenient reference for properly citing resources or connect to the APA Style website through the APA icon below:
Political Science homework help
UncategorizedPolitical Science 21A: Question Set #3. Congress and the Presidency.
Please respond to each of the four short response questions posted below. Your answers should be short, focused, and complete, ranging from one to three paragraphs. Please make sure to answer each specific part of every question. Successful answers will provide details and context that support your arguments and explain your position to the readers. You may also want to provide real world examples taken from the readings, lectures, group discussions, or your own independent thinking. These illustrations can be from the course materials or your own ideas. Providing this context and being able to apply the material to YOUR OWN understanding of politics really shows us that you have mastered the material.
Each answer will be worth 25 points, for 100 points total. The Question Set is due on Canvas at 11:59 pm on Monday, November 16th. You should upload your response as a docx file or PDF to the Question Set #3 assignment tab.
You should aim to keep each response to at least 300 words. You are welcome to write your answers in a traditional paragraph form. However, you are also welcome to start each response with a topic sentence and then provide bullet points with the key details and information if you find that more efficient. Regardless of what strategy you should take, your work should show your own thinking on the topic.
To help you organize your responses, I have broken the key parts of each question into sections below:
a) What are the varying goals that shape the behavior of members of Congress? b) How does the incentive for reelection shape their behavior? c) How can it lead them to be both individually responsive but collectively irresponsible?
a) What are the benefits of the Congressional committee system? b) What are the possible downsides? c) How do the parties use this structure to their advantage?
In your view, what are the most important factors that contributed to the rise of presidential power in the modern American Government? (for this question, please choose two or three factors from the readings and lectures that you personally found most interesting/persuasive).
Neustadt & Kernell both describe ways in which a President can deal with Congress & others outside of the executive branch. a) What are their central arguments? b) How does Kernell’s theory update Neustadt’s idea? c) Are they compatible?
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Distinguishing Management and Leadership Competencies in Nursing Paper
Nursing HomeworksDistinguishing Management and Leadership Competencies in Nursing Paper
Distinguishing Management and Leadership Competencies Thriving organizations see the value of cultivating both management and leadership competencies. For this Discussion, you consider two distinct “buckets” of competencies—management and leadership—and think about how these can be leveraged to successfully introduce a new product or service in an organization. To prepare:
•Think about a new product or service in your organization that was recently implemented. ◦Identify five leadership strategies you might use to address the implementation of the new product or service. ◦Think about the management competencies that were needed in order for this project to be successful. Why are these competencies important? ◦Consider the leadership competencies required for success, and reflect on the value of these competencies.
ORDER A CUSTOM-WRITTEN ESSAY
Post a description of the new product or service and how it aligns with organizational goals and professional standards. Describe the distinct management and leadership competencies that facilitated successful implementation of this project. Provide your rationale.
Required Readings Marquis, B. L., & Huston, C. J. (2015). Leadership roles and management functions in nursing: Theory and application (8th ed.). Philadelphia, PA: Lippincott, Williams & Wilkins.
•Review Chapter 2 with a focus on page 44–50. Arroliga, A. C., Huber, C., Myers, J. D., Dieckert, J. P., & Wesson, D. (2014). Leadership in Health Care for the 21 st Century: Challenges and Opportunities. The American Journal of Medicine, 127(3), 246–249. Copyright 2014 by Elsevier Health Science Journals. Reprinted by permission of Elsevier Health Science Journals via the Copyright Clearance Center. Stetler, C. B., Ritchie, J. A., Rycroft–Malone, J., & Charns, M. P. (2014).
Leadership for Evidence–Based Practice: Strategic and Functional Behaviors for Institutionalizing EBP. Worldviews on Evidence–Based Nursing, 11(4), 219–226. Retrieved from the Walden Library databases. Daire, J., & Gilson, L. (2014).
Does identity shape leadership and management practice? Experiences of PHC facility managers in Cape Town, South Africa. Health policy and planning, 29 (suppl 2), ii82–ii97. Distinguishing Management and Leadership Competencies in Nursing Paper.
Science homework help
UncategorizedPART A
Discussion (Chapter 11): Explain how GDSS can increase some benefits of collaboration and decision making in groups and eliminate or reduce some losses.
Note: The first post should be made by Wednesday 11:59 p.m., EST. I am looking for active engagement in the discussion. Please engage early and often. Your response should be 250-300 words. Respond to two postings provided by your classmates. There must be at least one APA formatted reference (and APA in-text citation) to support the thoughts in the post. Do not use direct quotes, rather rephrase the author’s words and continue to use in-text citations.
PART B
Questions for Discussion
1. Explain why it is useful to describe group work in terms
of the time/place framework.
4. Compare Simon’s four-phase decision-making model to
the steps in using GDSS.
Select one of the following patient factors: genetics, ethnicity, or behavior. Reflect on how the factor you selected might impact diagnosis and prescription of treatment for the patient in the scenario.
UncategorizedPlease read the assignment in full. If you cannot do it; don’t say you can and not deliver awesome work. I have already not had a good experience on this site so I am looking for graduate level work. The assignment is a Discussion Post, not a paper, but it should include and introduction and summary and ALL of what the assignment says to include. PLEASE READ CAREFULLY. Thanks.
Discussion 1: Cardiovascular Alterations
At least once a year, the media report on a seemingly healthy teenage athlete collapsing during a sports game and dying of heart complications. These incidents continue to outline the importance of physical exams and health screenings for teenagers, especially those who play sports. During these health screenings, examiners check for cardiovascular alterations such as heart murmurs because they can be a sign of an underlying heart disorder. Since many heart alterations rarely have symptoms, they are easy to miss if health professionals are not specifically looking for them. Once cardiovascular alterations are identified in patients, it is important to refer them to specialists who can further investigate the cause.
Consider the following scenario:
A 16-year-old male presents for a sports participation examination. He has no significant medical history and no family history suggestive of risk for premature cardiac death. The patient is examined while sitting slightly recumbent on the exam table and the advanced practice nurse appreciates a grade II/VI systolic murmur heard loudest at the apex of the heart. Other physical findings are within normal limits, the patient denies any cardiovascular symptoms, and a neuromuscular examination is within normal limits. He is cleared with no activity restriction. Later in the season he collapses on the field and dies.
To Prepare
By Day 3
Post a description of how you would diagnose and prescribe treatment for the patient in the scenario. Then explain how the factor you selected might impact the diagnosis and prescription of treatment for that patient.
“What is the most important element of a strategic plan? Why?
Nursing Essay Help>Computer Science homework help
UncategorizedThe BLS has wage information for hundreds of jobs and data can also be found by state. There is much information here so take some time to browse around.
Once you arrive at the site, complete the following steps to gather the data you need to answer the discussion questions.
Part 1
Part 2
Step 3
Include the following in your discussion post:
Information Systems homework help
UncategorizedPrepare a 2 page to one page paper on your findings.
Please double space your paper and cite your sources.
2. Please submit your project/research paper on Multimedia databases . For your Course Project, you will prepare a 3 to 4 page research paper on a topic of your choice based on one of the chapters or a section within a chapter from your textbook. Please submit your APA-formatted paper in a Word document.
Your paper must be double spaced and include a cover page and a reference page for your cited sources.
Please note that the reference page and cover page do not count towards your paper’s three to five pages in length.
NOTE: PLEASE MAKE SURE 2 QUESTIONS ARE 2 DIFFERENT RESEARCH PAPERS. TO BE WRITTEN SEPERATE DOCUMENTATION.
Information Systems homework help
UncategorizedJiang, C., Song, J., Liu, G., Zheng, L., & Luan, W. (2018). Credit card fraud detection: A novel approach using aggregation strategy and feedback mechanism. IEEE Internet of Things Journal, 5(5), 3637-3647.
Li, Z., Liu, G., & Jiang, C. (2020). Deep representation learning with full center loss for credit card fraud detection. IEEE Transactions on Computational Social Systems, 7(2), 569-579.
Tingfei, H., Guangquan, C., & Kuihua, H. (2020). Using Variational Auto Encoding in Credit Card Fraud Detection. IEEE Access, 8, 149841-149853.
Zheng, L., Liu, G., Yan, C., & Jiang, C. (2018). Transaction fraud detection based on total order relation and behavior diversity. IEEE Transactions on Computational Social Systems, 5(3), 796-806.
Zhang, Z., Chen, L., Liu, Q., & Wang, P. (2020). A Fraud Detection Method for Low-Frequency Transaction. IEEE Access, 8, 25210-25220.
Zanetti, M., Jamhour, E., Pellenz, M., Penna, M., Zambenedetti, V., & Chueiri, I. (2017). A tunable fraud detection system for advanced metering infrastructure using short-lived patterns. IEEE Transactions on Smart grid, 10(1), 830-840.
Huang, D., Mu, D., Yang, L., & Cai, X. (2018). CoDetect: Financial fraud detection with anomaly feature detection. IEEE Access, 6, 19161-19174.
Omair, B., & Alturki, A. (2020). A Systematic Literature Review of Fraud Detection Metrics in Business Processes. IEEE Access, 8, 26893-26903.
Zhu, Bing & Yang, Wenchuan & Wang, Huaxuan & Yuan, Yuan. (2018). A hybrid deep learning model for consumer credit scoring. 205-208. 10.1109/ICAIBD.2018.8396195.
Nie, G., Wei, R., Zhang, L., Tian, Y., and Shi, Y., 2011. Credit card churn forecasting by logistic regression and decision tree. Expert Systems with Applications 38, 12, 15273-15285.
Cecotti, Hubert & Rivera, Agustin & Farhadloo, Majid & Villarreal, Miguel. (2020). Grape detection with Convolutional Neural Networks. Expert Systems with Applications. 159. 113588. 10.1016/j.eswa.2020.113588.
Yifei, R. A. O. (2016). Big Data Algorithm Applied to Credit Risk Assessment Model. International Journal of Simulation–Systems, Science & Technology, 17(42).
Sarigul, Mehmet & Ozyildirim, B.M. & Avci, Mutlu. (2019). Differential convolutional neural network. Neural Networks. 116. 10.1016/j.neunet.2019.04.025.
Zhou, F.-Y & Jin, Linpeng & Dong, Jianfang. (2017). Review of Convolutional Neural Network. Jisuanji Xuebao/Chinese Journal of Computers. 40. 1229-1251. 10.11897/SP.J.1016.2017.01229.
Dawood, E. A. E., Elfakhrany, E., & Maghraby, F. A. (2019). Improve Profiling Bank Customer’s Behavior Using Machine Learning. IEEE Access, 7, 109320-109327.
Kvamme, Håvard & Sellereite, Nikolai & Aas, Kjersti & Sjursen, Steffen. (2018). Predicting Mortgage Default using Convolutional Neural Networks. Expert Systems with Applications. 102. 10.1016/j.eswa.2018.02.029.
Zhou, X., Zhang, W., & Jiang, Y. (2020). Personal Credit Default Prediction Model Based on Convolution Neural Network. Mathematical Problems in Engineering, 2020.
Yu, Z. Y., & Zhao, S. F. (2011, December). Bank credit risk management early warning and decision-making based on BP neural networks. In 2011 IEEE International Symposium on IT in Medicine and Education (Vol. 2, pp. 528-532). IEEE.
Cheng, D., Xiang, S., Shang, C., Zhang, Y., Yang, F., & Zhang, L. (2020, April). Spatio-Temporal Attention-Based Neural Network for Credit Card Fraud Detection. In Proceedings of the AAAI Conference on Artificial Intelligence (Vol. 34, No. 01, pp. 362-369).