This week you will use the Bureau of Labor Statistics website to search for income data on the occupation you are seeking.  Visit the following website:  https://www.bls.gov/bls/blswage.htm (Links to an external site.)
The 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

  • Search for information on your occupation by clicking on national wage data 800 occupations. This will take you to the Occupational Employment Statistics page.
  • Scroll to the bottom of that page for a table listing the major and sub-job categories. Note in the first column there is an occupation code. For example, accountants and auditors have the code 13-2011 and are listed under banking and financial operations.
  • Click on the job title to find earnings information. There you will find mean wages as well as percentiles and the 5-number summary.
  • Compare the mean and median pays. For example, the mean pay for accountants was $78,800 and the median was $70,500.
  • Record the information on percentiles, the 5-number summary, the mean and the median.

Part 2

  • Above the data on the occupation page, you will find the following links:
    • National estimates for this occupation
    • Industry profile for this occupation
    • Geographic profile for this occupation.
  • Select the geographic profile to view maps of the states.
  • Scroll down to the map that presents mean wages by state using the color code.
  • Compare the ranges of wages of the states based on the ranges presented.
  • Identify the highest paying and lowest paying states.

 
Step 3
Include the following in your discussion post:

  • Share the information you found in steps 1 and 2.
  • Discuss your interpretation of the statistics you recorded in Part 1.
    • Percentiles
    • Mean
    • Median
  • How different are the salaries shown in the map of states?
    • What is the range for your state?
    • Would you move to another state based on this data?
    • What other statistics would you want to know before making that decision?
  • What effect do the lowest paid and highest paid states have on the calculation of the mean and median for the United States?
  • Suppose you were asked by a potential employer to request a salary. Which is the best measure to use to find “average” earnings for your occupation? Explain your answer.
  • attachment

    WhichisBestMeanorMedian.docx
1.  Research the concepts of multitasking and interrupts.
Prepare 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.
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 Journal5(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 Systems7(2), 569-579.
Tingfei, H., Guangquan, C., & Kuihua, H. (2020). Using Variational Auto Encoding in Credit Card Fraud Detection. IEEE Access8, 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 Systems5(3), 796-806.
Zhang, Z., Chen, L., Liu, Q., & Wang, P. (2020). A Fraud Detection Method for Low-Frequency Transaction. IEEE Access8, 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 grid10(1), 830-840.
Huang, D., Mu, D., Yang, L., & Cai, X. (2018). CoDetect: Financial fraud detection with anomaly feature detection. IEEE Access6, 19161-19174.
Omair, B., & Alturki, A. (2020). A Systematic Literature Review of Fraud Detection Metrics in Business Processes. IEEE Access8, 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 & Technology17(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 Access7, 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 Engineering2020.
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

This assignment is due on Saturday March 23,2013 at 10 AM EST , One of the assignment is a continuas assignment that you completed part one last week , and the secound is a ppt . For the one which is a continuation assignment , you have to refere to my act and see the solutions to the last paper you send to me with ID ending in 82. But also i have giving you all the details you need in the attached file . if you have aany dought contact me and i will be happy to give you more imformation . In the other file , it is require that you construct a PPT, it is important that you follow the instructions and do just the right thing as require. The have to be at least 9 slides and 100 words of speaker notes for each of the slides . The slides itself need to have at least 4 bullets points of sgort sentences , and 100 words of speaker notes for each to elaborate on the bullets points . In text citations is require in the speker notes , and also you must use APA format . you must also address all the requirement for the PPT stated in the file , and a reference slides must be included at the end ( title and reference slides not counting to the 9 slides). Please let me know if you dont understand anytrhing rather than do the wrong stuff.

Document Preview:

Part 2
This is the continuation of part 1 of the assignment with the transtutor ID TTs130313_11261_82 , so it will be important for the writer to refer to the solutions of that assignment as that is part one to be able to complete this section .This is due on Saturday March 23, 2013 At 10 AM EST . APA and in text citation must be used for the entire assignment , and must also include a reference list all in APA format . The similarity scores cannot be more than 15% for this assignment.
To recommend your solution to the problem, add a section of 4 pages that includes answers to the following questions:
•What is the importance of implementing a quality improvement process to reduce the incidence of the safety issue? (the transfer of secondary infections to patients while they are in treatment facilities)
•What would be a method of application of the quality process to the safety issue?
•What Quality & Safety Education for Nurses (QSEN) standards are met by the implementation of this method?
•Present your work in a scholarly manner, using APA format.

Assignment 1: Critical Factors in Implementing an IT System in Health Facilities 

Due Week 6 and worth 300 points

Write a six to eight (6–8) page paper in which you:

  1. Provide at least three (3) various reasons why some health care organizations have been reluctant to implement electronic medical records.
  2. Discuss the essential manner in which the Health Insurance Portability and Accountability Act (HIPAA) impacts patient’s medical records. 
  3. Determine the main advantages and disadvantages of the adoption of The HITECH (the Health Information Technology for Economic and Clinical Health) Act for health care professionals. Next, suggest one (1) strategy that the medical staff members could use in order to mitigate the main disadvantages in question.   
  4. Review the typical workflow processes within health organizations, and decide the single most significant process that the health organization must eliminate in order to improve the service. Provide a rationale to support your response.
  5. Analyze the primary ways in which the key federal initiatives impact the standards of health care information for patient privacy, safety, and confidentially.
  6. Specify the fundamental advantages of applying an IT system within health care organizations. Predict new IT developments in the health care industry for the next two (2) decades. Justify your response.
  7. Use at least three (3) quality academic resources in this assignment. Note: Wikipedia and similar websites do not qualify as academic resources.

Your assignment must follow these formatting guidelines:

  • This course requires use of new Strayer Writing Standards (SWS). The format is different than other Strayer University courses. Please take a moment to review the SWS documentation for details.
  • Be typed, double spaced, using Times New Roman font (size 12), with one-inch margins on all sides; citations and references must follow SWS or school-specific format. Check with your professor for any additional instructions.
  • Include a cover page containing the title of the assignment, the student’s name, the professor’s name, the course title, and the date. The cover page and the reference page are not included in the required assignment page length.

The specific course learning outcomes associated with this assignment are:

  • Examine the impact technologies have on health care information systems. 
  • Examine the systems development life cycle of a custom application and the selection of proprietary systems.
  • Use technology and information resources to research issues in health information systems.
  • Write clearly and concisely about health information systems using proper writing mechanics.

Ecology paper

Sheet1

Phylum Class Common Name Genus Counts Totals
Brachiopoda Brachiopods Devonochonetes 44 204
Tropidoleptus 40
Chonetes 25 Brachiopods Pelecypods All Molluscs
Leiorhyncus 16 Total counts 204 49 65
Protoleptostrophia 14 Richness
Eodevonaria 11 Shannon diversity index
Mucospirifer 9 eH
Pustulatia 8 Evenness
Tylothyris 6 % Dominant Taxon
Ptychomaletoechia 5
Cupulorostrum 4
Cyrtospirifer 4
Schuchertella 4 Guidelines: For this paper, do the diversity calculations above for
Spinocyrtia 4 the three general groupings listed. The comparison between
Atrypa 3 brachiopods and pelecypods (clams) is particularly interesting since
Leptaena 2 their similarity in lifestyles and filter-feeding make them competitors.
Productella 2 Do some research on the various invertebrates groups and attempt to
Athyris 1 describe the relations that might have occured between these groups
Orbiculoidea 1 as they functioned in the marine community that existed here.
Spinatrypa 1 Pay attention to reproduction strategies, predator/ prey relations
Mollusca Bivalvia Pelecypods (Clams) Orthonota 10 49 (if any), competetive relations, feeding strategies, and even
Nuculites 7 potential mutualistic relations. Given this collection of
Praecardium 6 organisms, what kinds of abiotic conditions would have been
Leiopteria 5 necessary for survival? You should use legitimate on-line
Nuculoidea 5 sources or books in the lab or in the library. I’m asking you
Modiomorpha 4 to take a stab at working in the field of paleoecology even if
Pseudaviculopectin 4 it’s only at an amateur level. I’m not looking for a book on
Grammysioidea 2 the traits of each organism. I’m interested in the relationships
Mytilarca 2 between groups and their general niches in the ecosystem. Many
Palaeoneilo 2 may serve very similar functions in the ecosystem and can be
Actinopteria 1 considered as a single group in your discussion. I suspect that will be
Paracylas 1 the case for the brachiopods and the pelecypods.
Gastropoda Gastropods (Snails) Tropidodiscus 6 13
Bembexia 4
Cyclonema 1
Holopea 1
Platyceras 1
Cephalopoda Cephalopods Striacoceras 3 3
Cnidaria Anthozoa Corals Pleurodictyum 2 3
Favosites 1
Bryozoa Gymnolaemata Bryozoans Fenestella 6 6
Arthropoda Trilobita Trilobites* Trimerus 2 5
Greenops 1
Phacops 2
Echinodermata Crinoidea Crinoids (Sea Lilies) Columnals 21 21
Annelida Polychaeta Polychaete worm? Zoophycos (trace fossil) 4 4
* I added some trilobite numbers from earlier trips, since trilobites in general are pretty rare.
Assignment 3: Organizational Behavior Course Project
It is important that you have the opportunity to dig deeper in your study of organizational behavior, extending your
understanding of issues and developments in the field and implications of these on managerial practice. Grounded in
original research and reflection, address one or more important societal or organizational trends (such as IT, greening and
environmental consciousness, demographic trends, workforce diversity, workforce violence, outsourcing, ethics,
telecommuting, use of temps and contract workers, virtual teams, etc.) and implications on organizational functioning,
teamwork, and leadership. Focus your research on an area of personal interest and discuss practical significance and
implications of societal and organizational developments for organizational behavior and managerial practice. There is a 10-
page maximum limit imposed, however, use only as many pages as are really necessary to effectively present/communicate
clearly and concisely.
The specific outcomes associated with this assignment are:
a). Understand the basic theories, concepts and practices in organizational behavior available to the practicing manager.
b). Examine the dynamics of human behavior in organizational settings.
c). Develop skills in the management of organizations through understanding the interactions of basic organizational
variables.
d). Communicate clearly and concisely about strategic management using proper writing mechanics.

Topic 1: EBP and PICOT Discuss how you used the three components inherent to Evidence-Based Practice inquiry to direct your clinical question database search. The PICOT question: Does repositioning of bed bound patients every two hours decrease the risk of pressure ulcer versus repositioning every 5 hours? Please adhere to nursing information that is related to my PICOT question Needs to be 1 page Use Peer reviewed nursing articles that are less than 5 years old Please give 4 references   Additional information The three components inherent to any evidence-based practice change are validity, reliability, and credibility. These three components are the check system to determine whether the practice is based on evidence-based research.
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