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Week 7 Adolescent Health Risk Seminar – Online Assignment Help – savvyessaywriters.net

Week 7 Adolescent Health Risk Seminar – Online Assignment Help – savvyessaywriters.net

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For this assignment, you will develop and deliver a 10–15 minute seminar/workshop aimed at the teen or young adult audience on a specific health risk associated with the population. You will submit your presentation using the Panopto recording tool within Blackboard.* If you predominantly work with a specific population and would like to present a relevant health risk seminar to that population, you must seek instructor approval in advance. Email your instructor through the Virtual Office.Choose a health risk associated with adolescence. Some categories to consider may include:SuicidePregnancySubstance use and abuseMotor vehicle crashesTobacco useSexually transmitted diseaseDomestic violenceMental health issuesEating disordersNutrition and fitnessAs the health care advocate, you will present the following to the target audience (adolescents or young adults)in 10-15 slides or screens:An overview of the risk factorContributing factorsPrevalence of the health risk (meaningful data)Explain your role with the issue as a health care practitioner/advocateWays to identify a problem and address the issuePresent an activity or project or exercise for the audience to engage in related to the topicHelp and support resourcesIn your research materials, incorporate 3–4 current sources with one containing the most current statistics.Use age-appropriate creativity to ensure the message gets across to the selected audience. As you plan your seminar, consider:How will you initiate a conversation (rather than give a lecture)?How will you keep the attention and respect of this audience?Use APA for citing and referencing your sources.Keep your design and audio appropriate to the audience, yet professional. Your presentation must include both audio and visual components and be professional in nature.

#Week 7 Adolescent Health Risk Seminar

Management Information Systems is one of the various business information systems. It is vital to look at the various kinds of information systems available to businesses to comprehend management information systems better. Savvyessaywriters.net offers management assignment help for all students.

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ERM 4 Due in 24 hours – Online Assignment Help – savvyessaywriters.net

ERM 4 Due in 24 hours – Online Assignment Help – savvyessaywriters.net

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#ERM 4 Due in 24 hours

Management Information Systems is one of the various business information systems. It is vital to look at the various kinds of information systems available to businesses to comprehend management information systems better. Savvyessaywriters.net offers management assignment help for all students.

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Risk Management and Mitigation Planning – Online Assignment Help – savvyessaywriters.net

Risk Management and Mitigation Planning – Online Assignment Help – savvyessaywriters.net

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You are the new IT Project Manager for the organization you chose in Week 1, and the CFO is needing a risk assessment for migrating from SQL Server 2008 r2® database to SQL Server 2016. The migration will lead to the expansion of the cloud data centers worldwide.The CIO feels the risk is too high and wants you to develop an Information Guide Handout and Risk Information Sheet for upper management to describe the risks and management of the risks for the impending migration.Part A:Create a 1- page Information Guide Handout to present to upper management, comparing risk management practices to use in the migration that includes:How risk mitigation strategy planning can reduce the      likelihood and/or impact of risksHow often risks will be reviewed, the process for      review, and who will be involvedThe roles and responsibilities for risk managementAdequate references to support your findings,      information, and opinionsA recommendation for the best risk management practice      for this migrationPart B:Using the sample shown below, create a 4- to 5- page Microsoft® Excel® Risk Information Sheet for at least five potential risks which might be encountered during the conversion. At least three of the five risks you choose should be project-management related.Risk Information SheetRisk DescriptionProbabilityImpactRationaleRisk MitigationDetails/OutcomePlease note the following:The risk description should fully describe the risk.The probability is the likelihood which the risk will      occur (i.e., low, medium, or high).The impact is how the organization will be affected if      the risk does occur (i.e., low, medium, or high).The rationale should explain the reasons for your      probability and impact assessments.The mitigation strategy should explain how each risk      will be addressed.There should be one risk information sheet for each      risk identified.Great  tips: Be sure to include both Parts A & B from the syllabus.Per the “Details/Outcome” above, probability and impact should be “low, medium, or high”.Each of the five risks should be a separate Excel tab.

#Risk Management and Mitigation Planning

Management Information Systems is one of the various business information systems. It is vital to look at the various kinds of information systems available to businesses to comprehend management information systems better. Savvyessaywriters.net offers management assignment help for all students.

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annotated bibliography for below articles In apa no specific word count – Online Assignment Help – savvyessaywriters.net

annotated bibliography for below articles In apa no specific word count – Online Assignment Help – savvyessaywriters.net

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ReferencesJiang, 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).

#annotated bibliography for below articles In apa no specific word count

Management Information Systems is one of the various business information systems. It is vital to look at the various kinds of information systems available to businesses to comprehend management information systems better. Savvyessaywriters.net offers management assignment help for all students.

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