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).
Nursing homework help
UncategorizedConversation in Negotiations
Difficult conversations are a form of negotiation. Research scholarly articles on negotiating difficult conversations and discuss strategies for listening techniques. Be sure to address the following questions:
Please use those articles for the answers, select what match the best.
1 Twenty-Five Years of Group Decision and Negotiation: A Bibliometric Overview by Sigifredo Laengle, Nikunja Mohan Modak, Jose M Merigo, Gustavo Zurita Format: ArticlePublication year: 2018 | Peer-reviewed Journal:
Twenty-five years ago, in 1992, a journal named Group Decision and Negotiation was established in association with the Institute for Operations Research and the Management Sciences with the vision of promoting theoretical and empirical research, real-world applications and case studies on group decision and negotiation processes. To celebrate its 25 years of continuous and outstanding contributions, this study aims to develop a bibliometric analysis of the publications of the journal between 1992 and 2016. The Web of Science Core Collection database is used to identify the leading trends of the journal in terms of impacts, topics, authors, universities and countries. Moreover, it utilizes the visualization of similarities viewer software to analyze the bibliographic couplings, co-citations, citations, co-authorships and co-occurrences of keywords.
Twenty-five years ago, in 1992, a journal named Group Decision and Negotiation was established in association with the Institute for Operations Research and the Management Sciences with the vision of promoting theoretical and empirical research, real-world applications and case studies on group decision and negotiation processes. To celebrate its 25 years of continuous and outstanding contributions, this study aims to develop a bibliometric analysis of the publications of the journal between 1992 and 2016. The Web of Science Core Collection database is used to identify the leading trends of the journal in terms of impacts, topics, authors, universities and countries. Moreover, it utilizes the visualization of similarities viewer software to analyze the bibliographic couplings, co-citations, citations, co-authorships and co-occurrences of keywords. Read Less
Laengle, Sigifredo, Nikunja Mohan Modak, Jose M. Merigo, and Gustavo Zurita. 2018. “Twenty-Five Years of Group Decision and Negotiation: A Bibliometric Overview.” Group Decision and Negotiation : Published in Cooperation with the Institute for Operations Research and the Management Sciences and Its Section on Group Decision and Negotiation 27(4):505–42.
2 The role of patient narratives in healthcare innovation: supporting translation and meaning making by Anne Reff Pedersen Format: ArticlePublication year: 2016 | Peer-reviewed Journal:
– The purpose of this paper is to investigate the process and impact of patient involvement in locally defined improvement projects in two hospital clinics. The paper particularly aims to examine how patient narratives, in the form of diaries and radio montage, help to create new insights into patient experience for healthcare professionals, and support professionals’ enrolment and mobilisation in innovation projects. – Two case studies were undertaken. These drew upon qualitative interviews with staff and participant observation during innovation workshops. Patient diaries and a recorded montage of patient voices were also collected. – The findings illuminate translation processes in healthcare innovation and the emergence of meaning making process for staff through the active use of patient narratives. The paper highlights the critical role of meaning making as an enabler of patient-centred change processes in healthcare via: local clinic mangers defining problems and ideas; collecting and sharing patient narratives in innovation workshops; and healthcare professionals’ interpretation of patient narratives supporting new insights into patient experience. – This study demonstrates how healthcare professionals’ meaning making can be supported by articulating, constructing, listening and interpreting patient narratives. The two cases demonstrate how patient narratives serve as reflective devices for healthcare professionals. – This study presents a novel demonstration of the importance of patient narratives for translating healthcare innovation in a clinical practice setting.
– The purpose of this paper is to investigate the process and impact of patient involvement in locally defined improvement projects in two hospital clinics. The paper particularly aims to ex… Read More
Pedersen, Anne Reff. 2016. “The Role of Patient Narratives in Healthcare Innovation: Supporting Translation and Meaning Making.” Journal of Health Organization and Management 30(2):244–57.
3 Building an Inclusive Climate for Intercultural Dialogue: A Participant-Generated Framework by Benjamin J Broome, Ian Derk, Robert J Razzante, Elena Steiner, Jameien Taylor, Aaron Zamora Format: ArticlePublication year: 2019 | Peer-reviewed Journal:
This study investigates the question of how to build an inclusive environment for intercultural dialogue. Using the university campus as a context for our research, we conducted a facilitated idea generation workshop in which participants identified a set of dialogic competencies, followed by individual interviews in which we explored participants’ perceptions of the relationships among these competencies. Interviews were conducted utilizing a software-assisted, idea-structuring methodology referred to as Interpretive Structural Modeling (ISM). Based on our results, we constructed a framework that depicts the overall flow of influence among the set of dialogic competencies identified by the participants. While findings confirm the importance placed in current literature on factors such as listening and empathy, they provide a more sophisticated and nuanced perspective on how to accomplish one of the oft-stated goals of intercultural dialogue, which is to help participants examine their unconscious biases, prejudices, and privileges.
This study investigates the question of how to build an inclusive environment for intercultural dialogue. Using the university campus as a context for our research, we conducted a facilitate… Read More
Broome, Benjamin J. et al. 2019. “Building an Inclusive Climate for Intercultural Dialogue: A Participant-Generated Framework.” Negotiation and Conflict Management Research 12(3):234–55.
PSYC305 Beneficial Conflict and Cultural Sensitivity Assignments
Nursing HomeworksPSYC305 Beneficial Conflict and Cultural Sensitivity Assignments
Beneficial Conflict
Cultural Sensitivity
Health Insurance and Economy Essay
Nursing HomeworksHealth Insurance and Economy Essay
When dealing with public health policy and laws, we need to consider various aspects of the economy. Concepts of efficiency can be utilized when deciding which goods and services should be produced and who should receive them.
ORDER A PLAGIARISM-FREE PAPER NOW
The three types of efficiencies are allocative, production, and technical. The two types of health economics are positive and normative. Positive Economics deals with “what is” or the current status that is linked to a clear standard of measurement. Normative economics deals with “what ought to be” and is subject to interpretation with the moral or ethical aspects of a policy. Your lecture has more details.
Using South University Online Library or the Internet, search the article, “The Interplay of Public Health Law and Industry Self-Regulation: The Case of Sugar-Sweetened Beverage Sales in Schools.”
On the basis of the article and your understanding on the topic, write a 3- to 4-page essay in a Microsoft Word document on the three types of economic efficiencies and both positive and normative economics as it relates to regulating sugar-sweetened beverage sales in schools. Health Insurance and Economy Essay.
Support your statements with at least two other scholarly sources, correctly formatted in APA style. This assignment requires a title page, an introduction, a body, a conclusion, and a separate reference page.
Submission Details:
>Information Systems homework help
UncategorizedScenario:
You have recently been hired as a Chief Information Governance Officer (CIGO) at a large company (You may choose your industry: Retail). This is a newly created position and department within the organization that was founded on the need to coordinate all areas of the business and to provide governance of the information. You will need to hire for all positions within your new department.
The company has been in business for more than 50 years and in this time has collected vast amounts of data. Much of this data has been stored in hard copy format in filing cabinets at an offsite location but in recent times, collected business data is in electronic format stored in file shares. Customer data is being stored in a relational database, but the lack of administration has caused data integrity issues such as duplication. There are currently no policies in place to address the handling of data, business or customer. The company also desires to leverage the marketing power of social media, but has no knowledge of the types of policies or legal issues they would need to consider. You will also need to propose relevant metrics that should be collected to ensure that the information governance program is effective.
The CEO and Board of Directors have tasked you to develop a proposal (paper) that will give them the knowledge needed to make informed decisions on an enterprise-wide Information Governance program, addressing (at a minimum) all of these issues, for the company.
Requirements:
The paper should include at a minimum of the following sections:
a. Title page
b. Executive Summary (Abstract)
c. Body
i. Introduction (including industry discussion – 1-2 pages)
ii. Annotated Bibliography (2-3 pages)
iii. Literature review (2-3 pages)
iv. Program and technology recommendations, including:
1. Metrics
2. Data that matters to the executives in that industry, the roles for those executives, and some methods for getting this data into their hands.
3. Regulatory, security, and privacy compliance expectations for your company
4. Email and social media strategy
5. Cloud Computing strategy
d. Conclusion
e. References
2. You must include at least two figures or tables. These must be of your own creation. Do not copy from other sources.
3. Must cite at least 10 references and 5 must be from peer reviewed scholarly journals (accessible from the UC Library).
4. This paper should be in proper APA format and avoid plagiarism when paraphrasing content. Itshould be a minimum of 8 pages in length (double-spaced), excluding the title page and references.
Milestones:
· Week 3 –Introduction Section – A2-3 page paper describing the industry chosen and potential resources to be used.100 pts.
Adult Day Services
Nursing Homeworks>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).
Epidemiology Discussion
Nursing HomeworksPaper Students will be required to watch 4 documentaries outside of class. These documentaries are found by linking to the following websites:
1A. The Trouble with Antibiotics 10/14/2014: http://www.pbs.org/wgbh/pages/frontline/trouble – with – antibiotics/
OR 1B. Hunting the Nightmare Bacteria 10/22/2013: http://www.pbs.org/wgbh/pages/frontline/hunting – the – nightmare – bacteria/
AND 2. The Vaccine War 03/24/2015
http://www.pbs.org/wgbh/pages/frontl ine/the – vaccine – war/
3. Supplements and Safety 01/19/2016: http://www.pbs.org/wgbh/frontline/film/supplements – and – safety /
AND 4. The Weight of the Nation Part 1 05/14/2012: https://www.youtube.com/watch?v= – pEkCbqN4uo
– Please note that there are images that some would deem as graphic between 38 – 41 minutes. You may skip over this section if you are so inclined. Students will be required to complete a 3 – page discussion paper on two of the documentaries.
You are required to select one of the three documentaries related to infectious diseases AND one of the two documentaries with chronic/environmental exposure diseases . This assignment is due by 04/06 /2018 midnight . You may turn it in early if you so desire.
I AM NOT LOOKING FOR A SUMMARY OF THE 2 DOCUMENTARIES THAT YOU HAVE SELECTED. Using information provided in the documentary AND outside research material, you will be asked to discuss each documentary topic that you selected AND to compare and contrast differences between the disease issues. Please remember to refer to epidemiological terms and the math that is associated with presenting these diseases. Using the outline provided in the textbook and course notes (Chapter 1, see attach file), please describe, explain, predict, and discuss control methods of the disease or behavior you have selected. o Items you may want to consider describing in your paper/presentation could include, w hat is the incidence and prevalence of the disease? What is the epidemiological and financial impact/burden of the disease at a regional, national, and international level? What techniques do epidemio logists use to address, control, or reduce the number of cases of this disease? What stigma or psychological issues might epidemiologists need to be aware of when collecting data and implementing control methods? o You may want to seriously consider referr ing to refereed journal articles when presenting your findings. Websites are not considered refereed journal articles.
Discussion paper criteria: This paper needs to be in your words and not plagiarized . The minimum requirements for this paper will be a 3 – page minimum/ 4 – page maximum, single space, 1 – inch margins and no more than 12 – point font . Take the time to fully describe the selected disease/behavior and its impact to public health. Please be thorough when describing the epidemiological principles
Describe and briefly evaluate the role and process of self-help groups in the treatment of substance abuse.
Nursing Essay Helpthe role of a chief nursing officer
Nursing HomeworksFOR THIS ASSIGNMENT, YOU WILL PLAY THE ROLE OF A CHIEF NURSING OFFICER COMMUNICATING
Write a 350- to 525-word memo to a specific target audience at your organization. Your memo should include:
Target audience of the memo
An explanation of a new, or change in, regulatory requirement that affects your facility
Internal policy changes that address the regulatory requirement
The influence on nursing procedures
The influence on patient care
How the change will be implemented across the organization
Include an APA-formatted reference page for any sources used; at least three, current references are to be used for this assignment.
Critical Thinking Questions
Nursing HomeworksUse the following Case Scenario, Subjective Data, and Objective Data to answer the Critical Thinking Questions.
Case Scenario
Mrs. J. is a 63-year-old woman who has a history of hypertension, chronic heart failure, and sleep apnea. She has been smoking two packs of cigarettes a day for 40 years and has refused to quit. Three days ago, she had an onset of flu with fever, pharyngitis, and malaise. She has not taken her antihypertensive medications or her medications to control her heart failure for 4 days. Today, she has been admitted to the hospital ICU with acute decompensated heart failure.
Subjective Data
1. Is very anxious and asks whether she is going to die.
2. Denies pain but says she feels like she cannot get enough air.
3. Says her heart feels like it is “running away.”
4. Reports that she is so exhausted she cannot eat or drink by herself.
Objective Data
1. Height 175 cm; Weight 95.5 kg
2. Vital signs: T 37.6 C, HR 118 and irregular, RR 34, BP 90/58
3. Cardiovascular: Distant S1, S2, S3 present; PMI at sixth ICS and faint; all peripheral pulses are 1+; bilateral jugular vein distention; initial cardiac monitoring indicates a ventricular rate of 132 and atrial fibrillation
4. Respiratory: Pulmonary crackles; decreased breath sounds right lower lobe; coughing frothy blood-tinged sputum; SpO2 82%
5. Gastrointestinal: BS present: hepatomegaly 4 cm below costal margin
Critical Thinking Questions
What nursing interventions are appropriate for Mrs. J. at the time of her admission? Drug therapy is started for Mrs. J. to control her symptoms. What is the rationale for the administration of each of the following medications?
1. IV furosemide (Lasix)
2. Enalapril (Vasotec)
3. Metoprolol (Lopressor)
4. IV morphine sulphate (Morphine)
Describe four cardiovascular conditions that may lead to heart failure and what can be done in the form of medical/nursing interventions to prevent the development of heart failure in each condition.
Taking into consideration the fact that most mature adults take at least six prescription medications, discuss four nursing interventions that can help prevent problems caused by multiple drug interactions in older patients. Provide rationale for each of the interventions you recommend.