Tag: Computer Science

  • [Solved] Proj-3

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    – 2 years ago **files (1)** – ## Ademola-Proj3-.docx **## Ademola-Proj3-.docx** Project 3: Perform Migration Step 1: Research Industry Standard Data Migration Approaches **Professionals in the Field** "Data migration is the process of making an exact copy of an organization's current data from one d…

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    Assignment Prompt & Instructions

    – 2 years ago

    **files (1)**

    – ## Ademola-Proj3-.docx

    **## Ademola-Proj3-.docx**

    Project 3: Perform Migration
    Step 1: Research Industry Standard Data Migration Approaches

    **Professionals in the Field**

    "Data migration is the process of making an exact copy of an organization's current data from one device to another device—preferably without disrupting or disabling active applications—and then redirecting all input/output (I/O) activity to the new device."

    —Best Practices for Data Migration, IBM

    Part of BallotOnline's cloud strategy includes keeping up with the latest developments in the industry and applying current best practices. So, before getting started with the migration, take some time to research
    [best practices and industry standard data migration approaches](https://leocontent.umgc.edu/content/scor/uncurated/cca/2218-cca640/learning-topic-list/best-practices-and-industry-standard-data-migration-approaches.html?ou=1243513).

    Engage in an online conversation with your colleagues to discuss data migration approaches in the Discussion: Data Migration Approaches.

    After discussing the data migration approaches, move to the next step, in which you will consider tool sets for migration.

    **Take Action**

    Follow these steps to access the discussion:

    · Click My Tools in the top navigation bar.

    · Click Discussions.

    · Select the relevant discussion.

    Once in the discussion, you can Start a New Thread, as well as respond to threads others have created. Use the discussion to develop awareness, share your thoughts, ask questions, and reflect. Remember that everyone brings a valuable and unique perspective, and treat everyone with respect.

    Project 3: Perform Migration
    Step 2: Review and Compare Data Migration Tool Sets

    Now that you have reviewed and discussed best practices and industry standard data migration approaches, review a few of the leading
    [migration tools](https://leocontent.umgc.edu/content/umuc/tgs/ccs/ccs640/2251/learning-topic-list/migration-tools-2023.html?ou=1243513).

    There are two basic approaches to data migration: "lift and shift" and "create new."

    | | | |
    | — | — | — |
    | **Approach** | **What's Involved** | **Tool Set Used** |
    | **Lift and Shift** | Also known as rehosting, lift and shift involves replicating current applications in the cloud without redesign, enabling users to migrate their existing servers along with the data. | Application Migration Service |
    | **Create New** | This method involves creating new servers in the cloud as needed, and only replicating the data to the cloud. | AWS Database Migration Services |

    Review the three toolsets:
    [AWS Server Migration Service](https://leocontent.umgc.edu/content/umuc/tgs/ccs/ccs640/2251/course-resource-list/project-lab-guides/project-3/aws-server-migration-service.html?ou=1243513),
    [AWS Database Migration Services](https://leocontent.umgc.edu/content/umuc/tgs/ccs/ccs640/2251/course-resource-list/project-lab-guides/project-3/aws-database-migration-service.html?ou=1243513), and the
    [Azure Database Migration service](https://learn.microsoft.com/en-us/azure/dms/dms-overview) and compare them in the
    [Cloud Data Migration Tool Sets Comparison topic list](https://leocontent.umgc.edu/content/dam/course-content/tgs/cca/cca-640/document/Cloud%20Data%20Migration%20Tool%20Sets%20Comparison%20Template.docx?ou=1243513).

    **Take Action**

    Submit your assignment to your instructor for review and feedback.

    Follow these steps to access the assignment:

    · Click My Tools in the top navigation bar.

    · Click Assignments.

    · Select the relevant assignment.

    Once you have submitted the Cloud Data Migration Tool Set Comparison, proceed to the next step, in which you will evaluate migration services.

    Project 3: Perform Migration
    Step 3: Explore and Evaluate AWS Database Migration Service

    Sophia favors the "create new" approach, since this aligns to industry best practices. Not surprisingly, she wants to use as many AWS-owned services as possible because AWS is the cloud vendor of choice for BallotOnline thus far in the organization's move to the cloud.

    Before evaluating databases for migration, make sure you understand the tool set of choice for BallotOnline's cloud data migration,
    [AWS Database Migration Service](https://leocontent.umgc.edu/content/umuc/tgs/ccs/ccs640/2251/course-resource-list/project-lab-guides/project-3/aws-database-migration-service.html?ou=1243513), so you can use it effectively and educate other team members if needed.

    To make sure you understand the tool set and how it is used, engage in an online conversation with your colleagues at BallotOnline in the Discussion: Evaluation of AWS Database Migration Service. Then proceed to the next step, in which you will consider options within AWS for the migration.

    **Take Action**

    Follow these steps to access the discussion:

    · Click My Tools in the top navigation bar.

    · Click Discussions.

    · Select the relevant discussion.

    Once in the discussion, you can Start a New Thread, as well as respond to threads others have created. Use the discussion to develop awareness, share your thoughts, ask questions, and reflect. Remember that everyone brings a valuable and unique perspective, and treat everyone with respect.

    Project 3: Perform Migration
    Step 4: Review Options for Database Migration to AWS

    Sophia has asked you to migrate two of BallotOnline's
    [on-premises database environments](https://leocontent.umgc.edu/content/scor/uncurated/cca/2218-cca640/learning-topic-list/on-premise-environments.html?ou=1243513) to the cloud: the human resources database. There are different options for different source database types. Human resources uses a MySQL database instance.

    Review the following three
    [options for database migration to AWS](https://leocontent.umgc.edu/content/umuc/tgs/ccs/ccs640/2251/course-resource-list/project-lab-guides/project-3/options-for-database-migration-to-aws.html?ou=1243513):

    · Migrating from an RDS MySQL database instance to AWS

    · Migrating from a MySQL database external to Amazon RDS to AWS

    · Migrating from a database that is not MySQL-compatible to AWS

    Engage in an online conversation with your colleagues to discuss database migration approaches in the Discussion: Database Migration Options to AWS, and then proceed to the next step, in which you will move data from human resources.

    **Take Action**

    Follow these steps to access the discussion:

    · Click My Tools in the top navigation bar.

    · Click Discussions.

    · Select the relevant discussion.

    Once in the discussion, you can Start a New Thread, as well as respond to threads others have created. Use the discussion to develop awareness, share your thoughts, ask questions, and reflect. Remember that everyone brings a valuable and unique perspective, and treat everyone with respect.

    Project 3: Perform Migration
    Step 5: Migrate Data from a MySQL Database to AWS

    Now that you have finished researching approaches, tool sets, and options, you can start the migration process. In this step, you will migrate BallotOnline's human resources data from the external MySQL database to an
    [Amazon Aurora MySQL](https://leocontent.umgc.edu/content/umuc/tgs/ccs/ccs640/2251/course-resource-list/project-lab-guides/project-3/amazon-aurora-mysql.html?ou=1243513) database.

    **Take Action**

    Follow the detailed migration instructions in the
    [MySQL Database Migration Guide](https://leocontent.umgc.edu/content/umuc/tgs/ccs/ccs640/2251/course-resource-list/project-lab-guides/project-3/2232-MySQL-Database-Migration-Guide.html?ou=1243513).

    Make sure you take screenshots for each task since the screenshots will be used in your final Cloud Migration Technical Report.

    Once you've migrated the database to Amazon Aurora MySQL and saved screenshots, move to the next step, in which you will migrate the payroll database.

    Project 3: Perform Migration
    Step 6: Perform Private Hyper-V Cloud Migration to AWS

    In the previous step, you migrated BallotOnline's HR resources MySQL database to Amazon Aurora MySQL. Now, you will complete the migration of BallotOnline's other servers to the AWS public cloud. This operation includes moving BallotOnline's Hyper-V server, which hosts its intranet, FTP server, and Network Time Protocol (NTP) server.

    Note that a server running Microsoft
    [Hyper-V](https://leocontent.umgc.edu/content/umuc/tgs/ccs/ccs640/2251/course-resource-list/project-lab-guides/project-3/hyper-v.html?ou=1243513) is considered a private cloud. Other software for private cloud includes vSphere, OpenStack, and Xen. You may want to go back to
    [Cloud Deployment Models](https://leocontent.umgc.edu/content/scor/uncurated/cca/2218-cca640/learning-topic-list/cloud-deployment-models.html?ou=1243513) to review the differences between public, private, and hybrid cloud.

    **Key Points**

    Before you begin the lab, make sure that you have completed the instructions outlined under Course Introduction where you are to create an IAM user with server migration permission and send its credentials to the cloud computing teaching assistant (TA) at UMGC.

    Do not proceed until you have received confirmation from the TA that your lab environment has been configured and ready for your use.

    **Take Action**

    Follow the
    [Private Cloud Migration Lab Guide](https://leocontent.umgc.edu/content/umuc/tgs/ccs/ccs640/2251/course-resource-list/project-lab-guides/project-3/private-cloud-migration.html?ou=1243513) for detailed instructions on how to perform the private cloud migration to AWS using Application Migration Service (AMG).

    **Note:** the Application Migration” begins as soon as the
    _replication agent is installed_. The course Technology Support Assistant will take care of this step for you after receiving your IAM user information”.

    The basic steps are:

    1. Create a role for the migration and name it
    **SMS**. This role will be used in the next step.

    2. Create and complete the replication job in Application Migration Service. This step will create an AMI (Amazon Machine Image) off the migrated server.

    3. Verify the migration.

    Take screenshots for each step since they will be used in your final Cloud Migration Technical Report.

    Don't forget to clean up the AWS resources to avoid any charges.

    Project 3: Perform Migration
    Step 7: Write the Final Cloud Deployment Programmatic Approach Document

    Now that you have migrated both databases, your Cloud Migration Technical Report will consolidate the work that you have completed in the steps along with some additional elements (scope, executive summary, etc.).

    This report will provide BallotOnline with a comprehensive cloud migration approach and tool sets that align with BallotOnline's technical and business requirements. The final document should be between eight and 10 pages. Sophia will present your work for approval at the executive meeting.

    Submit your work after reading the instructions below using the
    [Cloud Migration Technical Report Guide](https://leocontent.umgc.edu/content/dam/course-content/tgs/cca/cca-640/document/CloudMigrationTechnicalReportTemplate.docx?ou=1243513).

    **Check Your Evaluation Criteria**

    Before you submit your assignment, review the competencies below, which your instructor will use to evaluate your work. A good practice would be to use each competency as a self-check to confirm you have incorporated all of them. To view the complete grading rubric, click My Tools, select Assignments from the drop-down menu, and then click the project title.

    · 5.2: Propose strategies the organization can employ using cloud solutions to enhance organizational effectiveness.

    · 6.5: Investigate the underlying technologies (virtualization, data center infrastructure, servers).

    · 6.8: Review, evaluate, and utilize emerging technologies related to cloud to support business needs.

    · 9.3: Develop documentation (plans, policies, and procedures) to support cloud operation.

    · 10.2: Create and deploy virtual machines.

    · 10.3: Configure cloud management tools and software.

    · 10.6: Configure a private cloud infrastructure using industry leading software.

    · 10.7: Configure a public cloud infrastructure using industry leading provider(s).

    · 11.3: Upgrade the infrastructure to increase capacity.

    **Take Action**

    Submit your assignment to your instructor for review and feedback.

    Follow these steps to access the assignment:

    · Click My Tools in the top navigation bar.

    · Click Assignments.

    · Select the relevant assignment.

    **## Ademola-Proj3-.docx**

    Project 3: Perform Migration
    Step 1: Research Industry Standard Data Migration Approaches

    **Professionals in the Field**

    "Data migration is the process of making an exact copy of an organization's current data from one device to another device—preferably without disrupting or disabling active applications—and then redirecting all input/output (I/O) activity to the new device."

    —Best Practices for Data Migration, IBM

    Part of BallotOnline's cloud strategy includes keeping up with the latest developments in the industry and applying current best practices. So, before getting started with the migration, take some time to research
    [best practices and industry standard data migration approaches](https://leocontent.umgc.edu/content/scor/uncurated/cca/2218-cca640/learning-topic-list/best-practices-and-industry-standard-data-migration-approaches.html?ou=1243513).

    Engage in an online conversation with your colleagues to discuss data migration approaches in the Discussion: Data Migration Approaches.

    After discussing the data migration approaches, move to the next step, in which you will consider tool sets for migration.

    **Take Action**

    Follow these steps to access the discussion:

    · Click My Tools in the top navigation bar.

    · Click Discussions.

    · Select the relevant discussion.

    Once in the discussion, you can Start a New Thread, as well as respond to threads others have created. Use the discussion to develop awareness, share your thoughts, ask questions, and reflect. Remember that everyone brings a valuable and unique perspective, and treat everyone with respect.

    Project 3: Perform Migration
    Step 2: Review and Compare Data Migration Tool Sets

    Now that you have reviewed and discussed best practices and industry standard data migration approaches, review a few of the leading
    [migration tools](https://leocontent.umgc.edu/content/umuc/tgs/ccs/ccs640/2251/learning-topic-list/migration-tools-2023.html?ou=1243513).

    There are two basic approaches to data migration: "lift and shift" and "create new."

    | | | |
    | — | — | — |
    | **Approach** | **What's Involved** | **Tool Set Used** |
    | **Lift and Shift** | Also known as rehosting, lift and shift involves replicating current applications in the cloud without redesign, enabling users to migrate their existing servers along with the data. | Application Migration Service |
    | **Create New** | This method involves creating new servers in the cloud as needed, and only replicating the data to the cloud. | AWS Database Migration Services |

    Review the three toolsets:
    [AWS Server Migration Service](https://leocontent.umgc.edu/content/umuc/tgs/ccs/ccs640/2251/course-resource-list/project-lab-guides/project-3/aws-server-migration-service.html?ou=1243513),
    [AWS Database Migration Services](https://leocontent.umgc.edu/content/umuc/tgs/ccs/ccs640/2251/course-resource-list/project-lab-guides/project-3/aws-database-migration-service.html?ou=1243513), and the
    [Azure Database Migration service](https://learn.microsoft.com/en-us/azure/dms/dms-overview) and compare them in the
    [Cloud Data Migration Tool Sets Comparison topic list](https://leocontent.umgc.edu/content/dam/course-content/tgs/cca/cca-640/document/Cloud%20Data%20Migration%20Tool%20Sets%20Comparison%20Template.docx?ou=1243513).

    **Take Action**

    Submit your assignment to your instructor for review and feedback.

    Follow these steps to access the assignment:

    · Click My Tools in the top navigation bar.

    · Click Assignments.

    · Select the relevant assignment.

    Once you have submitted the Cloud Data Migration Tool Set Comparison, proceed to the next step, in which you will evaluate migration services.

    Project 3: Perform Migration
    Step 3: Explore and Evaluate AWS Database Migration Service

    Sophia favors the "create new" approach, since this aligns to industry best practices. Not surprisingly, she wants to use as many AWS-owned services as possible because AWS is the cloud vendor of choice for BallotOnline thus far in the organization's move to the cloud.

    Before evaluating databases for migration, make sure you understand the tool set of choice for BallotOnline's cloud data migration,
    [AWS Database Migration Service](https://leocontent.umgc.edu/content/umuc/tgs/ccs/ccs640/2251/course-resource-list/project-lab-guides/project-3/aws-database-migration-service.html?ou=1243513), so you can use it effectively and educate other team members if needed.

    To make sure you understand the tool set and how it is used, engage in an online conversation with your colleagues at BallotOnline in the Discussion: Evaluation of AWS Database Migration Service. Then proceed to the next step, in which you will consider options within AWS for the migration.

    **Take Action**

    Follow these steps to access the discussion:

    · Click My Tools in the top navigation bar.

    · Click Discussions.

    · Select the relevant discussion.

    Once in the discussion, you can Start a New Thread, as well as respond to threads others have created. Use the discussion to develop awareness, share your thoughts, ask questions, and reflect. Remember that everyone brings a valuable and unique perspective, and treat everyone with respect.

    Project 3: Perform Migration
    Step 4: Review Options for Database Migration to AWS

    Sophia has asked you to migrate two of BallotOnline's
    [on-premises database environments](https://leocontent.umgc.edu/content/scor/uncurated/cca/2218-cca640/learning-topic-list/on-premise-environments.html?ou=1243513) to the cloud: the human resources database. There are different options for different source database types. Human resources uses a MySQL database instance.

    Review the following three
    [options for database migration to AWS](https://leocontent.umgc.edu/content/umuc/tgs/ccs/ccs640/2251/course-resource-list/project-lab-guides/project-3/options-for-database-migration-to-aws.html?ou=1243513):

    · Migrating from an RDS MySQL database instance to AWS

    · Migrating from a MySQL database external to Amazon RDS to AWS

    · Migrating from a database that is not MySQL-compatible to AWS

    Engage in an online conversation with your colleagues to discuss database migration approaches in the Discussion: Database Migration Options to AWS, and then proceed to the next step, in which you will move data from human resources.

    **Take Action**

    Follow these steps to access the discussion:

    · Click My Tools in the top navigation bar.

    · Click Discussions.

    · Select the relevant discussion.

    Once in the discussion, you can Start a New Thread, as well as respond to threads others have created. Use the discussion to develop awareness, share your thoughts, ask questions, and reflect. Remember that everyone brings a valuable and unique perspective, and treat everyone with respect.

    Project 3: Perform Migration
    Step 5: Migrate Data from a MySQL Database to AWS

    Now that you have finished researching approaches, tool sets, and options, you can start the migration process. In this step, you will migrate BallotOnline's human resources data from the external MySQL database to an
    [Amazon Aurora MySQL](https://leocontent.umgc.edu/content/umuc/tgs/ccs/ccs640/2251/course-resource-list/project-lab-guides/project-3/amazon-aurora-mysql.html?ou=1243513) database.

    **Take Action**

    Follow the detailed migration instructions in the
    [MySQL Database Migration Guide](https://leocontent.umgc.edu/content/umuc/tgs/ccs/ccs640/2251/course-resource-list/project-lab-guides/project-3/2232-MySQL-Database-Migration-Guide.html?ou=1243513).

    Make sure you take screenshots for each task since the screenshots will be used in your final Cloud Migration Technical Report.

    Once you've migrated the database to Amazon Aurora MySQL and saved screenshots, move to the next step, in which you will migrate the payroll database.

    Project 3: Perform Migration
    Step 6: Perform Private Hyper-V Cloud Migration to AWS

    In the previous step, you migrated BallotOnline's HR resources MySQL database to Amazon Aurora MySQL. Now, you will complete the migration of BallotOnline's other servers to the AWS public cloud. This operation includes moving BallotOnline's Hyper-V server, which hosts its intranet, FTP server, and Network Time Protocol (NTP) server.

    Note that a server running Microsoft
    [Hyper-V](https://leocontent.umgc.edu/content/umuc/tgs/ccs/ccs640/2251/course-resource-list/project-lab-guides/project-3/hyper-v.html?ou=1243513) is considered a private cloud. Other software for private cloud includes vSphere, OpenStack, and Xen. You may want to go back to
    [Cloud Deployment Models](https://leocontent.umgc.edu/content/scor/uncurated/cca/2218-cca640/learning-topic-list/cloud-deployment-models.html?ou=1243513) to review the differences between public, private, and hybrid cloud.

    **Key Points**

    Before you begin the lab, make sure that you have completed the instructions outlined under Course Introduction where you are to create an IAM user with server migration permission and send its credentials to the cloud computing teaching assistant (TA) at UMGC.

    Do not proceed until you have received confirmation from the TA that your lab environment has been configured and ready for your use.

    **Take Action**

    Follow the
    [Private Cloud Migration Lab Guide](https://leocontent.umgc.edu/content/umuc/tgs/ccs/ccs640/2251/course-resource-list/project-lab-guides/project-3/private-cloud-migration.html?ou=1243513) for detailed instructions on how to perform the private cloud migration to AWS using Application Migration Service (AMG).

    **Note:** the Application Migration” begins as soon as the
    _replication agent is installed_. The course Technology Support Assistant will take care of this step for you after receiving your IAM user information”.

    The basic steps are:

    1. Create a role for the migration and name it
    **SMS**. This role will be used in the next step.

    2. Create and complete the replication job in Application Migration Service. This step will create an AMI (Amazon Machine Image) off the migrated server.

    3. Verify the migration.

    Take screenshots for each step since they will be used in your final Cloud Migration Technical Report.

    Don't forget to clean up the AWS resources to avoid any charges.

    Project 3: Perform Migration
    Step 7: Write the Final Cloud Deployment Programmatic Approach Document

    Now that you have migrated both databases, your Cloud Migration Technical Report will consolidate the work that you have completed in the steps along with some additional elements (scope, executive summary, etc.).

    This report will provide BallotOnline with a comprehensive cloud migration approach and tool sets that align with BallotOnline's technical and business requirements. The final document should be between eight and 10 pages. Sophia will present your work for approval at the executive meeting.

    Submit your work after reading the instructions below using the
    [Cloud Migration Technical Report Guide](https://leocontent.umgc.edu/content/dam/course-content/tgs/cca/cca-640/document/CloudMigrationTechnicalReportTemplate.docx?ou=1243513).

    **Check Your Evaluation Criteria**

    Before you submit your assignment, review the competencies below, which your instructor will use to evaluate your work. A good practice would be to use each competency as a self-check to confirm you have incorporated all of them. To view the complete grading rubric, click My Tools, select Assignments from the drop-down menu, and then click the project title.

    · 5.2: Propose strategies the organization can employ using cloud solutions to enhance organizational effectiveness.

    · 6.5: Investigate the underlying technologies (virtualization, data center infrastructure, servers).

    · 6.8: Review, evaluate, and utilize emerging technologies related to cloud to support business needs.

    · 9.3: Develop documentation (plans, policies, and procedures) to support cloud operation.

    · 10.2: Create and deploy virtual machines.

    · 10.3: Configure cloud management tools and software.

    · 10.6: Configure a private cloud infrastructure using industry leading software.

    · 10.7: Configure a public cloud infrastructure using industry leading provider(s).

    · 11.3: Upgrade the infrastructure to increase capacity.

    **Take Action**

    Submit your assignment to your instructor for review and feedback.

    Follow these steps to access the assignment:

    · Click My Tools in the top navigation bar.

    · Click Assignments.

    · Select the relevant assignment.

  • [Solved] PLAN APPROVAL

    ✓ Verified Academic Solution Available

    Executive Solution Overview

    [>Machine Learning homework help](https://www.sweetstudy.com/fields/computer-science-machine-learning) **PLEASE INCORPORATE THE FEEDBACK LEFT FROM THE PROFESSOR THAT I PUT INTO THE FILE** ## **Instructions** Consult the [Virtual ResidencyLinks to an external site.](https://lat.strategiced.com/redire…

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    Assignment Prompt & Instructions

    [>Machine Learning homework help](https://www.sweetstudy.com/fields/computer-science-machine-learning)

    **PLEASE INCORPORATE THE FEEDBACK LEFT FROM THE PROFESSOR THAT I PUT INTO THE FILE**

    ## **Instructions**

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    ## **Additional Requirements**

    – **Written communication:** Written communication is free of errors that detract from the overall message.

    – Continue to use your **Project Plan Template** to structure your paper. Refer to the [Virtual ResidencyLinks to an external site.](https://lat.strategiced.com/redirect?linkid=5067 "Select this link to launch this material in a new window.") Campus page for your PhD or Professional Doctorate program's Project Plan Guide.
    – **Resources:** Cite scholarly references, including seminal works, and add them to Reference section at the end of your assignment.
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  • [Solved] WK6 Discussion and Replies

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    Executive Solution Overview

    Please see attachment for instructions. – 2 years ago **files (1)** – ## WK6DiscussionandRepliesInstructions.docx **## WK6DiscussionandRepliesInstructions.docx** **W5 Discussion Instructions:** IPv6 **In 250 word, answer the questions below with 4 evidence base scholarly articles in APA format.** IP…

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    Please see attachment for instructions.

    – 2 years ago

    **files (1)**

    – ## WK6DiscussionandRepliesInstructions.docx

    **## WK6DiscussionandRepliesInstructions.docx**

    **W5 Discussion Instructions:** IPv6

    **In 250 word, answer the questions below with 4 evidence base scholarly articles in APA format.**

    IPv4 has been a formidable workhorse for moving traffic across the Internet. Yet, IPv6 is poised to take over from IPv4.

    1. Discuss the distinguishing characteristics of IPv6 in fulfillment of IPv4's deficiencies.

    2. Discuss the challenges confronting both the industry and the government in transitioning from IPv4 to IPv6.

    **In 400 word total, replying to the 2 post below. Each reply must be 200 word.**

    **K.B Post #1**

    IPv6's increased address space is among its most obvious benefits. IPv6 employs 128-bit addresses, allowing practically limitless number of distinct IP addresses unlike IPv4, which uses 32-bit addresses and can support about 4.3 billion unique addresses (Hagen, 2020). Given the exponential increase in internet-connected devices—including those related to the Internet of Things (IoT—this expansion is vital.

    IPv6 also includes native support for Internet Protocol Security (IPsec), hence improving security by means of built-in authentication and encryption systems (Deering & Hinden, 2017). IPv6 integrates security at the network level, therefore lowering vulnerabilities and enhancing data integrity (Huitema, 2021), unlike IPv4, where security measures including IPsec are optional and usually applied at the application level.

    Additionally bringing a simplified packet header style that maximizes data flow and lowers processing cost for network routers, IPv6 also helps to In high-traffic settings especially, this simplicity increases routing efficiency and lowers latency, hence improving flow. Moreover, IPv6 replaces the reliance on Network Address Translation (NAT), an IPv4 method that lets several devices use a single public IP address so extending address availability. Eliminating NAT allows more direct and effective communication between devices, therefore enabling smooth peer-to–peer connections and hence enhancing general network performance (Huston, 2020).

    Stateless Address Autoconfiguration (SLAAC), which lets devices independently create their own IP addresses without depending on Dynamic Host Configuration Protocol (DHCP) servers (Gont et al., 2020) is another important characteristic of IPv6. Particularly in dynamic contexts where many devices routinely join and depart the network, this functionality improves scalability and streamlines network management.

    **Problems Moving from IPv4 to IPv6**
    IPv6 presents great advantages, but various technical, financial, and instructional obstacles have hampered its acceptance. Guaranturing interoperability between IPv4 and IPv6 is one of the main difficulties. Organizations have to use dual-stack networking, tunneling, and protocol translation as the two systems are not quite compatible (Colitti et al., 2010). Dual-stack networks guarantee backward compatibility by letting devices run with IPv4 and IPv6 addresses, hence enabling slow migration. This strategy, meanwhile, raises administrative overhead and network complexity.

    The financial expenses involved in educating IT staff and modernizing infrastructure provide still another difficulty. Many companies rely on legacy network hardware and software meant just for IPv4. Turning to IPv6 sometimes means replacing or reconfiguring current hardware, which can be expensive and time-consuming (Perkins & Kuhn, 2020). Further driving operational expenses are the specialized training needed by IT experts to properly manage and troubleshoot IPv6 networks.

    Beyond technical and economical factors, a major obstacle to IPv6 adoption is still ignorance and lack of instruction about it. Misunderstandings on the need and urgency of IPv6 implementation have many companies reluctant to migrate (Li et al., 2019). Although some businesses and governments have acted aggressively to promote IPv6 adoption, broad acceptance of the standard is still unequal depending on the area and sector.

    **The Part Governments and Business Play in IPv6 Adoption**
    The shift from IPv4 to IPv6 is much facilitated by governments and industry players. Policymakers can encourage acceptance by means of public awareness campaigns, incentives, and legal systems. For public sector companies, several governments have mandated IPv6 compliance, for instance, and pushed private businesses to match suit (Huston, 2020). Industry groups can also offer best practices, technical direction, and training tools to help companies throughout their relocation process.

    Adoption of IPv6 presents difficulties that need cooperative efforts among governments, educational institutions, and technological companies. Stakeholders may hasten the change and guarantee that companies are sufficiently ready to run IPv6-based networks by funding research projects and training programs. Moreover, encouraging IPv6 as the standard for future internet-connected products and services would assist to reduce compatibility problems and stimulate long-term acceptance.

    **References**

    Colitti, L., Arkko, J., Baker, F., & Carpenter, B. (2010). Evaluating IPv6 adoption in the Internet.
    _Passive and Active Measurement Conference_, 9-16. https://doi.org/10.1007/978-3-642-12334-4_2

    Deering, S., & Hinden, R. (2017).
    _Internet Protocol, Version 6 (IPv6) Specification_ (RFC 8200). Internet Engineering Task Force. https://doi.org/10.17487/RFC8200

    Gont, F., Krishnan, S., Narten, T., & Thaler, D. (2020).
    _IPv6 Address Autoconfiguration_ (RFC 4862). Internet Engineering Task Force.
    [https://doi.org/10.17487/RFC4862](https://doi.org/10.17487/RFC4862)

    Hagen, S. (2020).
    _IPv6 Essentials: Integrating IPv6 into Your IPv4 Network_ (3rd ed.). O'Reilly Media.

    Huitema, C. (2021).
    _IPv6 for the Enterprise_. Addison-Wesley.

    Huston, G. (2020).
    _IPv6: What happened?_ The Internet Society.
    [https://www.internetsociety.org/blog/2020/06/ipv6-what-happened](https://www.internetsociety.org/blog/2020/06/ipv6-what-happened)

    Li, Y., Zhang, Y., & Zhou, H. (2019). Analyzing IPv6 deployment challenges and solutions.
    _International Journal of Computer Networks_,
    _57_(4), 289-305.
    [https://doi.org/10.1016/j.comnet.2019.04.005](https://doi.org/10.1016/j.comnet.2019.04.005)

    Perkins, C. E., & Kuhn, D. R. (2020). The challenges of migrating to IPv6.
    _IEEE Internet Computing_,
    _24_(1), 37-45.
    [https://doi.org/10.1109/MIC.2020.2966978](https://doi.org/10.1109/MIC.2020.2966978)

    Zhang, J., Wu, X., & Chen, L. (2019). Performance improvements in IPv6-enabled networks: A comparative study.
    _Journal of Computer Science and Technology_,
    _34_(2), 351-366.
    [https://doi.org/10.1007/s11390-019-9263-7](https://doi.org/10.1007/s11390-019-9263-7)

    Kendrick

    **J.H Post #2:**

    IPv4 has been holding down the Internet fort since the early days, but let’s be real—it’s getting old. The biggest issue? It’s running out of space, like a phone with 16GB of storage trying to survive in a world of endless selfies and TikTok videos. IPv4 uses 32-bit addresses, which means there are about 4.3 billion unique addresses to go around (Comer, 2018). That seemed like a lot in the 1980s, but now, with billions of devices connecting to the Internet, IPv4 is like a sold-out concert—no more room!

           Enter IPv6, the new star of the Internet. It’s got 128-bit addresses, which means it offers more addresses than there are grains of sand on Earth (seriously). With IPv6, every device can have its own IP address, no need for Network Address Translation (NAT) or sharing like it’s the last slice of pizza. Plus, IPv6 is way cooler—offering built-in encryption for security, simpler headers, and improved support for fancy things like multicasting.

           While NAT and Port Address Translation (PAT) have done a great job helping manage IPv4 addresses, IPv6 is still the “best” option because it offers a vastly larger address space. This eliminates the need for NAT altogether, improving network efficiency and making device-to-device communication much easier. This is particularly important for peer-to-peer networking and future applications, like smart homes and IoT devices. Even with NAT, transitioning to IPv6 is still highly beneficial in the long run.

           But, of course, switching to IPv6 isn’t all sunshine and rainbows. IPv4 and IPv6 don’t speak the same language, so they can’t communicate directly. Companies have to run dual-stack networks, which is like juggling two phones—you can do it, but it’s annoying and expensive. Then there’s the cost of upgrading old equipment. Many businesses are still rocking legacy systems that only support IPv4. Switching to IPv6 means buying new gear, upgrading software, and training IT staff to handle the new setup. It’s like convincing your grandparents to switch from flip phones to iPhones—it takes time and patience.

           Governments are pushing for IPv6 adoption, but progress is uneven. Some industries are embracing it, while others are dragging their feet. To make this transition work, we need teamwork and collaboration from businesses, governments, and tech pros. IPv6 is the future of the Internet, bringing scalability, security, and efficiency. Sure, the transition is tough, but in the end, it’s like upgrading from dial-up to fiber—absolutely worth it.

    Reference:

    Comer, D. E. (2018). The Internet book: Everything you need to know about computer networking and how the Internet works (5th ed.). Boca Raton, FL: Chapman and Hall/CRC.

    **## WK6DiscussionandRepliesInstructions.docx**

    **W5 Discussion Instructions:** IPv6

    **In 250 word, answer the questions below with 4 evidence base scholarly articles in APA format.**

    IPv4 has been a formidable workhorse for moving traffic across the Internet. Yet, IPv6 is poised to take over from IPv4.

    1. Discuss the distinguishing characteristics of IPv6 in fulfillment of IPv4's deficiencies.

    2. Discuss the challenges confronting both the industry and the government in transitioning from IPv4 to IPv6.

    **In 400 word total, replying to the 2 post below. Each reply must be 200 word.**

    **K.B Post #1**

    IPv6's increased address space is among its most obvious benefits. IPv6 employs 128-bit addresses, allowing practically limitless number of distinct IP addresses unlike IPv4, which uses 32-bit addresses and can support about 4.3 billion unique addresses (Hagen, 2020). Given the exponential increase in internet-connected devices—including those related to the Internet of Things (IoT—this expansion is vital.

    IPv6 also includes native support for Internet Protocol Security (IPsec), hence improving security by means of built-in authentication and encryption systems (Deering & Hinden, 2017). IPv6 integrates security at the network level, therefore lowering vulnerabilities and enhancing data integrity (Huitema, 2021), unlike IPv4, where security measures including IPsec are optional and usually applied at the application level.

    Additionally bringing a simplified packet header style that maximizes data flow and lowers processing cost for network routers, IPv6 also helps to In high-traffic settings especially, this simplicity increases routing efficiency and lowers latency, hence improving flow. Moreover, IPv6 replaces the reliance on Network Address Translation (NAT), an IPv4 method that lets several devices use a single public IP address so extending address availability. Eliminating NAT allows more direct and effective communication between devices, therefore enabling smooth peer-to–peer connections and hence enhancing general network performance (Huston, 2020).

    Stateless Address Autoconfiguration (SLAAC), which lets devices independently create their own IP addresses without depending on Dynamic Host Configuration Protocol (DHCP) servers (Gont et al., 2020) is another important characteristic of IPv6. Particularly in dynamic contexts where many devices routinely join and depart the network, this functionality improves scalability and streamlines network management.

    **Problems Moving from IPv4 to IPv6**
    IPv6 presents great advantages, but various technical, financial, and instructional obstacles have hampered its acceptance. Guaranturing interoperability between IPv4 and IPv6 is one of the main difficulties. Organizations have to use dual-stack networking, tunneling, and protocol translation as the two systems are not quite compatible (Colitti et al., 2010). Dual-stack networks guarantee backward compatibility by letting devices run with IPv4 and IPv6 addresses, hence enabling slow migration. This strategy, meanwhile, raises administrative overhead and network complexity.

    The financial expenses involved in educating IT staff and modernizing infrastructure provide still another difficulty. Many companies rely on legacy network hardware and software meant just for IPv4. Turning to IPv6 sometimes means replacing or reconfiguring current hardware, which can be expensive and time-consuming (Perkins & Kuhn, 2020). Further driving operational expenses are the specialized training needed by IT experts to properly manage and troubleshoot IPv6 networks.

    Beyond technical and economical factors, a major obstacle to IPv6 adoption is still ignorance and lack of instruction about it. Misunderstandings on the need and urgency of IPv6 implementation have many companies reluctant to migrate (Li et al., 2019). Although some businesses and governments have acted aggressively to promote IPv6 adoption, broad acceptance of the standard is still unequal depending on the area and sector.

    **The Part Governments and Business Play in IPv6 Adoption**
    The shift from IPv4 to IPv6 is much facilitated by governments and industry players. Policymakers can encourage acceptance by means of public awareness campaigns, incentives, and legal systems. For public sector companies, several governments have mandated IPv6 compliance, for instance, and pushed private businesses to match suit (Huston, 2020). Industry groups can also offer best practices, technical direction, and training tools to help companies throughout their relocation process.

    Adoption of IPv6 presents difficulties that need cooperative efforts among governments, educational institutions, and technological companies. Stakeholders may hasten the change and guarantee that companies are sufficiently ready to run IPv6-based networks by funding research projects and training programs. Moreover, encouraging IPv6 as the standard for future internet-connected products and services would assist to reduce compatibility problems and stimulate long-term acceptance.

    **References**

    Colitti, L., Arkko, J., Baker, F., & Carpenter, B. (2010). Evaluating IPv6 adoption in the Internet.
    _Passive and Active Measurement Conference_, 9-16. https://doi.org/10.1007/978-3-642-12334-4_2

    Deering, S., & Hinden, R. (2017).
    _Internet Protocol, Version 6 (IPv6) Specification_ (RFC 8200). Internet Engineering Task Force. https://doi.org/10.17487/RFC8200

    Gont, F., Krishnan, S., Narten, T., & Thaler, D. (2020).
    _IPv6 Address Autoconfiguration_ (RFC 4862). Internet Engineering Task Force.
    [https://doi.org/10.17487/RFC4862](https://doi.org/10.17487/RFC4862)

    Hagen, S. (2020).
    _IPv6 Essentials: Integrating IPv6 into Your IPv4 Network_ (3rd ed.). O'Reilly Media.

    Huitema, C. (2021).
    _IPv6 for the Enterprise_. Addison-Wesley.

    Huston, G. (2020).
    _IPv6: What happened?_ The Internet Society.
    [https://www.internetsociety.org/blog/2020/06/ipv6-what-happened](https://www.internetsociety.org/blog/2020/06/ipv6-what-happened)

    Li, Y., Zhang, Y., & Zhou, H. (2019). Analyzing IPv6 deployment challenges and solutions.
    _International Journal of Computer Networks_,
    _57_(4), 289-305.
    [https://doi.org/10.1016/j.comnet.2019.04.005](https://doi.org/10.1016/j.comnet.2019.04.005)

    Perkins, C. E., & Kuhn, D. R. (2020). The challenges of migrating to IPv6.
    _IEEE Internet Computing_,
    _24_(1), 37-45.
    [https://doi.org/10.1109/MIC.2020.2966978](https://doi.org/10.1109/MIC.2020.2966978)

    Zhang, J., Wu, X., & Chen, L. (2019). Performance improvements in IPv6-enabled networks: A comparative study.
    _Journal of Computer Science and Technology_,
    _34_(2), 351-366.
    [https://doi.org/10.1007/s11390-019-9263-7](https://doi.org/10.1007/s11390-019-9263-7)

    Kendrick

    **J.H Post #2:**

    IPv4 has been holding down the Internet fort since the early days, but let’s be real—it’s getting old. The biggest issue? It’s running out of space, like a phone with 16GB of storage trying to survive in a world of endless selfies and TikTok videos. IPv4 uses 32-bit addresses, which means there are about 4.3 billion unique addresses to go around (Comer, 2018). That seemed like a lot in the 1980s, but now, with billions of devices connecting to the Internet, IPv4 is like a sold-out concert—no more room!

           Enter IPv6, the new star of the Internet. It’s got 128-bit addresses, which means it offers more addresses than there are grains of sand on Earth (seriously). With IPv6, every device can have its own IP address, no need for Network Address Translation (NAT) or sharing like it’s the last slice of pizza. Plus, IPv6 is way cooler—offering built-in encryption for security, simpler headers, and improved support for fancy things like multicasting.

           While NAT and Port Address Translation (PAT) have done a great job helping manage IPv4 addresses, IPv6 is still the “best” option because it offers a vastly larger address space. This eliminates the need for NAT altogether, improving network efficiency and making device-to-device communication much easier. This is particularly important for peer-to-peer networking and future applications, like smart homes and IoT devices. Even with NAT, transitioning to IPv6 is still highly beneficial in the long run.

           But, of course, switching to IPv6 isn’t all sunshine and rainbows. IPv4 and IPv6 don’t speak the same language, so they can’t communicate directly. Companies have to run dual-stack networks, which is like juggling two phones—you can do it, but it’s annoying and expensive. Then there’s the cost of upgrading old equipment. Many businesses are still rocking legacy systems that only support IPv4. Switching to IPv6 means buying new gear, upgrading software, and training IT staff to handle the new setup. It’s like convincing your grandparents to switch from flip phones to iPhones—it takes time and patience.

           Governments are pushing for IPv6 adoption, but progress is uneven. Some industries are embracing it, while others are dragging their feet. To make this transition work, we need teamwork and collaboration from businesses, governments, and tech pros. IPv6 is the future of the Internet, bringing scalability, security, and efficiency. Sure, the transition is tough, but in the end, it’s like upgrading from dial-up to fiber—absolutely worth it.

    Reference:

    Comer, D. E. (2018). The Internet book: Everything you need to know about computer networking and how the Internet works (5th ed.). Boca Raton, FL: Chapman and Hall/CRC.

  • [Solved] topic alignment WK 6

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    [>Machine Learning homework help](https://www.sweetstudy.com/fields/computer-science-machine-learning) **TOPIC: CYBER RANSOMWARE ATTACKS** This week you apply additional literature to your topic and problem statement and align all the elements of your proposed project. For this week's discussion, ch…

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    [>Machine Learning homework help](https://www.sweetstudy.com/fields/computer-science-machine-learning)

    **TOPIC: CYBER RANSOMWARE ATTACKS**

    This week you apply additional literature to your topic and problem statement and align all the elements of your proposed project. For this week's discussion, choose one of the following for your post:

    – Discuss the research problem in your proposed study and how it has changed since Week 1. Is the argument stronger or have you identified a more interesting problem to study?
    – Consider the revisions you have made to your Project Plan thus far in the course. What have you learned that prompted the redevelopment of these elements?
    – As we wrap up this week, share what instructor or peer feedback you're finding most helpful as you prepare to submit your Project Plan.

    – 2 years ago

  • [Solved] computering

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    [>Java homework help](https://www.sweetstudy.com/fields/computer-science-java) You are going to design a hypothetical computer for one of the three people described below. Your build will be a list of all the specifications that this system will have. In addition, you will need to write up a documen…

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    [>Java homework help](https://www.sweetstudy.com/fields/computer-science-java)

    You are going to design a hypothetical computer for one of the three people described below. Your build will be a list of all the specifications that this system will have. In addition, you will need to write up a document explaining why you have selected these specifications, features, and components for the person you chose.

    Requirements:

    Choose to build a PC for only one of the following.

    A retired gentleman on a fixed income

    A small-business owner

    A young college student

    At a minimum you must address the following items in your narrative. Use clearly defined headings to identify the items in appropriate sections.

    Cost

    Functionality

    Pre-installed applications

    Type of computer

    Motherboard

    Processor

    RAM

    Hard drive

    Power supply

    Video Card

    Peripherals

    Network access

    Operating system

    Additional storage features or components

    Monitor

    Keyboard

    Mouse

    Speakers

    Document minimum requirements:

    A minimum of three full paragraphs in addition to a spec list (ordered or unordered).

    Submit only one document via the link.

    Use paragraph structure and appropriate headings to organize your document. Use complete sentences and proper grammar and spelling.

    Place a header in your document that contains your name, the assignment name, and the course code from the syllabus.

    Your document must be one of the following formats (.doc, .docx, or .rtf).

    Cite any and all sources.

    Save the file as <LastNameFirstInitial_M1HW> Example: OserK_M1HW

    – 2 years ago

  • [Solved] Computer Science Individual written assignment

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    see instruction – 2 years ago

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    see instruction

    – 2 years ago

  • [Solved] Fundamentals of Computer Applications

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  • [Solved] TestAttempt

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  • [Solved] Client presentation

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    IT Client Presentation – 2 years ago

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    IT Client Presentation

    – 2 years ago

  • [Solved] GrCA fEB 15 2025

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    – 2 years ago **files (4)** – ## 2REVIEW-cStudentSampleObj.Summ.2024-20252.docx – ## FirstObjectiveSummary.docx – ## literaturereviewfab222025.docx – ## 2REVIEW-dStudentSamplePart2LitRev_2024-20251.pdf **## 2REVIEW-cStudentSampleObj.Summ.2024-20252.docx** | | | | — | — | | | 1 | | | | | — | -…

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    – 2 years ago

    **files (4)**

    – ## 2REVIEW-cStudentSampleObj.Summ.2024-20252.docx

    – ## FirstObjectiveSummary.docx

    – ## literaturereviewfab222025.docx

    – ## 2REVIEW-dStudentSamplePart2LitRev_2024-20251.pdf

    **## 2REVIEW-cStudentSampleObj.Summ.2024-20252.docx**

    | | |
    | — | — |
    | | 1 |

    | | |
    | — | — |
    | | 4 |

    ****Racial Disparities in Healthcare Among Pregnant Women in the United States****

    Tamifer Lewis

    Department of Public Health, Monroe College, King Graduate School

    KG604-144: Graduate Research and Critical Analysis

    Dr. Manya Bouteneff

    December 4, 2022

    **Color coding: who, when, where, why, how methodology**
    **_&_ how process, what**

    Darling et al. (2021) conducted a study between 2001 and 2018 in the United States, France, Spain, and the Netherlands to examine the efficiency of qualified interventions in preterm birth, small for gestational age, low birth weight, neonatal death, cesarean deliveries, maternal care satisfaction, and coast effectiveness programs. A systematic review was used to collect data from studies of mostly non-Caucasian women from low-income population ranging from 12 to 46 years of age and being between 20 to 32 weeks' gestation. Interventional programs were implemented into three categories: group prenatal care, augmented prenatal care, or a combination of both group and augmented prenatal care (Darling et al. 2021). The researchers found that certain interventions, such as prenatal care and augmented care, or a combination of both, may decrease adverse outcomes in small-for-gestational-age and preterm birth, and could aid in increasing maternal care satisfaction. Interventions that worked on enhancing coordination of care were found to result in providing more effective cost savings. The researchers also found disparities in the quality of access to care in the vulnerable population. There was insufficient evidence of suitable quality to confirm that the interventions were successful at enhancing clinical outcomes in prenatal care for at risk populations (Darling et al. 2021).

    **References**

    Darling, E. K., Cody, K., Tubman-Broeren, M., & Marquez, O. (2021). The effect of prenatal care delivery models targeting populations with low rates of PNC attendance: A systematic review.
    _Journal of Health Care for the Poor and Underserved, 32_(1), 119-136. https://www.proquest.com/scholarly-journals/effect-prenatal-care-delivery-models-targeting/docview/2507722229/se-2

    | | | |
    | — | — | — |
    | | | |

    | | | |
    | — | — | — |
    | | | |

    **## FirstObjectiveSummary.docx**

    **CLASS/HW: First Objective Summary [graded within 24 hours]**

    **PREP TASKS**

    **(1) READ:** This assignment is not a working final document assignment; however, it will eventually make its way to the working final document–just not yet.

    For this submission, you will need to create a new WORD document and you are expected to demonstrate the following
    **compounded skills from previous weeks**, in addition to the
    **new skills learned this week** and through the later
    **Prep Tasks** below:

    ·
    **APA 7 Basics**: double-spaced, before and after set to zero; 1 inch margins all around; Times New Roman, 12 pt font; page numbers, upper right in header

    · Page 1 =
    **APA 7 Title Page**: your title can be something along the lines of, "Objective Summary of Prevalence Research Article" — of course, it will be worded to be relevant to YOUR relevant research variable

    · Page 2 =
    **Your objective summary** written as an academic paragraph (indented and full sentences) and color-coded with the designated colored font for each component.
    Use your EXCEL Research Tracker to help you summarize one of your research articles in your own words:

    _hint: copy this color chart into your Word document where you will write these, so you remember!_

    WHO = Dark BLUE

    WHY = PURPLE

    WHEN = RED

    WHERE = GREEN

    HOW + Process = ORANGE

    WHAT = Lighter BLUE

    · Page 3 = Your
    **APA 7 References Page** (with only the research article you summarized)

    **(2) REVIEW:** Open the following student sample document. Be sure yours looks similar prior to proceeding.

    **(2) REVIEW – c Student Sample Obj. Summ. (2024-2025) (2).docx**

    **SUBMISSION REQUIREMENT TASKS**

    **(1) PLAGIARISM CHECKERS:** Review the following document to learn how to meet the newly implemented submission requirements that will be expected for each written assignment in the remaining weeks:

    **SUBMISSION TASK (1) plagiarism checkers (2) (1).pptx**

    **(2) CHECK YOUR SIMILARITY:**

    · Submit your assignment into the CHECK YOUR SIMILARITY HERE folder

    · Evaluate EVERY highlighted text EXCEPT the References Page and in-text citations to ensure it links only back to
    your own work.

    **(3) TAKE YOUR AI TEXT DETECTOR SCREENSHOT:**

    · Paste your written text into this FREE AI Text Detector: Click here –>
    [Scribbr AI Text Detector](https://www.scribbr.com/ai-detector/)

    · Take a screenshot of your text and the percentage
    **(NOT TO EXCEED 10%).** You will have to take multiple screenshots if your document is over 500 words.

    **(4) FINALIZE:** Make sure your screenshot looks like the screenshot below.

    **SUBMISSION (4) Scribbr Screenshot (3).pdf**

    **(5) SUBMIT:** Attach your AI screenshot(s) WITH your WORD document submission. You will be attaching 2 documents in the submission box:
    **(1) the screenshot first, then (2) your assignment WITH title and references pages.**

    **## literaturereviewfab222025.docx**

    You cannot complete this assignment successfully without writing a successful objective summary from last class.

    If you earned less than an 85% on your first objective summary, you must copy my comments from that assignment, and assure me you dealt with any issues, and HIGHLIGHT the changes you make, THEN ensure you do not repeat these errors for your new objective summaries for the task below.

    —————————————————————————————————————————————————————-

    **PREP TASKS**

    **(1) READ:** This assignment is a working final document assignment.

    For this submission, you are expected to demonstrate the following
    **compounded skills from previous weeks:**

    ·
    **APA 7 Basics**: double-spaced, before and after set to zero; 1 inch margins all around; Times New Roman, 12 pt font; page numbers, upper right in header

    ·
    **Title & References pages**

    ·
    **Narrative and parenthetical in-text citation control of single-sourced paragraphs**

    ·
    **Transitional phrases**

    ·
    **Paraphrasing**

    **(2) REVIEW:** Your work must look like the sample below:

    **(2) REVIEW – d Student Sample Part 2 Lit Rev_ (2024-2025) (1).pdf**

    **(3) OPEN UP YOUR '**
    **_WORKING DOCUMENT_' WE SAVED IN W. 6:**

    ·
    **a.** Rename this document as "W.7 – Working Final Exam Document" or similar.

    ·
    **b.** Give your paper a name now and update it on your Title Page.

    **(4) PRE-SET YOUR LEVEL HEADERS:** Avoid mistakes later and use the sample below to set up proper level headers in your working final document.

    **W. 7 Working Doc Set Up – Level Headers (2024-2025) (1) (1).docx**

    **(5) WORK ON YOUR SUBMISSION:**

    · Go back to your Week 6 objective summary submissions to review any of my yellow notes, comments, and the rubric to update your document.

    · Put your summaries in an order that makes sense given how you compare and contrast them using your
    _who, when, where, why, how,_ and
    _what_ EXCEL Research Tracker.

    ·
    _Use your transition compare and contrast words (similar to…etc) – when you use these words,_
    _**please be sure to say somewhere HOW are they similar, etc.**_

    **5a. USE:**

    **(5a.) USE – compare and contrast words (1).pdf**

    —————————————————————————————————————————————————————–

    **SUBMISSION REQUIREMENT TASKS**

    **(1) CHECK YOUR SIMILARITY:**

    · Submit your assignment into the CHECK YOUR SIMILARITY HERE folder

    · Evaluate EVERY highlighted text EXCEPT the References Page and in-text citations to ensure it links only back to
    your own work.

    **(2) TAKE YOUR AI TEXT DETECTOR SCREENSHOT:**

    · Paste your written text into this FREE AI Text Detector: Click here –>
    [Scribbr AI Text Detector](https://www.scribbr.com/ai-detector/)

    · Take a screenshot of your text and the percentage
    **(NOT TO EXCEED 30%),** one for each objective summary written.

    **(3) FINALIZE:** Make sure your screenshot looks like the screenshot below.

    **(4) SUBMIT:** Attach your AI screenshot(s) WITH your WORD document submission. You will be attaching 2 documents in the submission box:
    **(1) the screenshot(s) first, then (2) your assignment**.

    **## 2REVIEW-dStudentSamplePart2LitRev_2024-20251.pdf**

    1

    Racial Disparities in Healthcare Among Pregnant Women in the United States

    Tamifer Lewis

    Department of Public Health, Monroe College, King Graduate School

    KG604-144: Graduate Research and Critical Analysis

    Dr. Manya Bouteneff

    December 4, 2022

    2

    Literature Review

    Review of Literature

    Adverse Pregnancy Outcome Factors

    Darling et al. (2021) conducted a study between 2001 and 2018 to examine the efficiency

    of qualified interventions in preterm birth, small for gestational age, low birth weight, neonatal

    death, cesarean deliveries, maternal care satisfaction, and coast effectiveness programs. A

    systematic review was used to collect data from the United States, France, Spain, and the

    Netherlands. The studies consisted of mostly non- Caucasian women from low-income

    population ranging from 12 to 46 years of age and being between 20 to 32 weeks' gestation.

    Interventional programs were implemented into three categories: group prenatal care, augmented

    prenatal care, or a combination of both group and augmented prenatal care (Darling et al., 2021).

    The researchers found that certain interventions, such as prenatal care and augmented care, or a

    combination of both, may decrease adverse outcomes in small-for-gestational-age and preterm

    birth, and could aid in increasing maternal care satisfaction. Interventions that worked on

    enhancing coordination of care were found to result in providing more effective cost savings.

    The researchers also found disparities in the quality of access to care in the vulnerable

    population. There was insufficient evidence of suitable quality to confirm that the interventions

    were successful at enhancing clinical outcomes in prenatal care for at risk populations (Darling et

    al., 2021).

    Similar observations were made in a study conducted by Nichols and Cohen (2020),

    between 2006 and 2018 to examine the methods used to improve the results of maternal

    mortality in California. The study was conducted using a scoping review to evaluate research on

    3

    women and maternal health in the United States. The researchers used information from the US

    Maternal Fetal Medicine Network to measure the percentage of studies where pregnant women,

    women, and children were the main focus. The researchers also reviewed documentation on

    healthcare policies and practices from California’s public health department, healthcare

    foundation, and Maternal Quality Care Collaborative. Nichols and Cohen (2020) found that

    although the health of fetus and children could be adversely affected by the health of the mother,

    the majority of maternal programs in the United States places emphasis on the child. The

    researchers also found four areas of concern in women health experiences, both in pre and

    postnatal care. The problem areas entailed inadequate investment in women's health, inefficient

    quality of care and avoidable caesarean delivers, expanding disparities in minority women and

    women living in rural areas, and contradictory collection and distribution of data (Nichols &

    Cohen, 2020).

    Approaches to Improving Pregnancy Outcomes

    In contrast to the preceding studies, Zhang et al. (2013) conducted a study between 2005

    and 2007 to calculate the excessive rate of unfavorable outcomes in pregnancy within racial and

    ethnic groups. The study also aimed to measure the possibility of Medicaid savings that are

    linked to paid maternal care claims resulting from the inequalities that contribute to unfavorable

    maternal outcomes. A cross-sectional study using Medicaid Analytic eXtract (MAX) data was

    used to gather pregnancy outcome information from inpatient hospitals from 14 states (Florida,

    Alabama, Arkansas, North Carolina, Georgia, Louisiana, Kentucky, Mississippi, Maryland,

    Missouri, Tennessee, South Carolina, Virginia, and Texas). The study consisted of a little over 2

    million patients who were insured with Medicaid and had a delivery code of maternal delivery

    stay. Zhang et al. (2013) found that, with the exception of gestational diabetes, African American

    4

    women showed the worst outcomes out of all unfavorable pregnancy outcomes. These disparities

    are postulated as being multi-factorial, having causes stemming from complicated experiences

    with racism, poverty, and complex healthcare interactions. It was also found that women covered

    under Medicaid health insurance were more likely to have consistency in care from prenatal care

    through delivery compared to their counterparts. However, due to participation in Medicaid

    programs being influenced by reimbursement rates, some providers may choose to stop

    accepting Medicaid patients because of reimbursement delays and low payment rates, which

    could contribute to negative birth outcomes (Zhang et al., 2013).

    5

    References

    Darling, E. K., Cody, K., Tubman-Broeren, M., & Marquez, O. (2021). The effect of prenatal

    care delivery models targeting populations with low rates of PNC attendance: A

    systematic review. Journal of Health Care for the Poor and Underserved, 32(1), 119-

    136. https://www.proquest.com/scholarly-journals/effect-prenatal-care-delivery-models-

    targeting/docview/2507722229/se-2

    Nichols, C. R., & Cohen, A. K. (2020). Preventing maternal mortality in the United States:

    Lessons from California and policy recommendations. Journal of Public Health Policy,

    42(1), 127-144. https://doi.org/10.1057/s41271-020-00264-9

    Rabin, R. C. (2019, May 8). Huge racial disparities persist in pregnancy-related deaths, and are

    growing. New York Times, A20(L).

    https://link.gale.com/apps/doc/A584694288/ITOF?u=nysl_me_moncol&sid=bookmark-

    ITOF&xid=b9422ff9

    Zhang, S., Cardarelli, K., Shim, R., Ye, J., Booker, K. L., & Rust, G. (2013). Racial disparities in

    economic and clinical outcomes of pregnancy among Medicaid recipients. Maternal and

    Child Health Journal, 17(8), 1518+.

    https://link.gale.com/apps/doc/A344827866/PPNU?u=nysl_me_moncol&sid=bookmark-

    PPNU&xid=51747d52

    **## 2REVIEW-dStudentSamplePart2LitRev_2024-20251.pdf**

    1

    Racial Disparities in Healthcare Among Pregnant Women in the United States

    Tamifer Lewis

    Department of Public Health, Monroe College, King Graduate School

    KG604-144: Graduate Research and Critical Analysis

    Dr. Manya Bouteneff

    December 4, 2022

    2

    Literature Review

    Review of Literature

    Adverse Pregnancy Outcome Factors

    Darling et al. (2021) conducted a study between 2001 and 2018 to examine the efficiency

    of qualified interventions in preterm birth, small for gestational age, low birth weight, neonatal

    death, cesarean deliveries, maternal care satisfaction, and coast effectiveness programs. A

    systematic review was used to collect data from the United States, France, Spain, and the

    Netherlands. The studies consisted of mostly non- Caucasian women from low-income

    population ranging from 12 to 46 years of age and being between 20 to 32 weeks' gestation.

    Interventional programs were implemented into three categories: group prenatal care, augmented

    prenatal care, or a combination of both group and augmented prenatal care (Darling et al., 2021).

    The researchers found that certain interventions, such as prenatal care and augmented care, or a

    combination of both, may decrease adverse outcomes in small-for-gestational-age and preterm

    birth, and could aid in increasing maternal care satisfaction. Interventions that worked on

    enhancing coordination of care were found to result in providing more effective cost savings.

    The researchers also found disparities in the quality of access to care in the vulnerable

    population. There was insufficient evidence of suitable quality to confirm that the interventions

    were successful at enhancing clinical outcomes in prenatal care for at risk populations (Darling et

    al., 2021).

    Similar observations were made in a study conducted by Nichols and Cohen (2020),

    between 2006 and 2018 to examine the methods used to improve the results of maternal

    mortality in California. The study was conducted using a scoping review to evaluate research on

    3

    women and maternal health in the United States. The researchers used information from the US

    Maternal Fetal Medicine Network to measure the percentage of studies where pregnant women,

    women, and children were the main focus. The researchers also reviewed documentation on

    healthcare policies and practices from California’s public health department, healthcare

    foundation, and Maternal Quality Care Collaborative. Nichols and Cohen (2020) found that

    although the health of fetus and children could be adversely affected by the health of the mother,

    the majority of maternal programs in the United States places emphasis on the child. The

    researchers also found four areas of concern in women health experiences, both in pre and

    postnatal care. The problem areas entailed inadequate investment in women's health, inefficient

    quality of care and avoidable caesarean delivers, expanding disparities in minority women and

    women living in rural areas, and contradictory collection and distribution of data (Nichols &

    Cohen, 2020).

    Approaches to Improving Pregnancy Outcomes

    In contrast to the preceding studies, Zhang et al. (2013) conducted a study between 2005

    and 2007 to calculate the excessive rate of unfavorable outcomes in pregnancy within racial and

    ethnic groups. The study also aimed to measure the possibility of Medicaid savings that are

    linked to paid maternal care claims resulting from the inequalities that contribute to unfavorable

    maternal outcomes. A cross-sectional study using Medicaid Analytic eXtract (MAX) data was

    used to gather pregnancy outcome information from inpatient hospitals from 14 states (Florida,

    Alabama, Arkansas, North Carolina, Georgia, Louisiana, Kentucky, Mississippi, Maryland,

    Missouri, Tennessee, South Carolina, Virginia, and Texas). The study consisted of a little over 2

    million patients who were insured with Medicaid and had a delivery code of maternal delivery

    stay. Zhang et al. (2013) found that, with the exception of gestational diabetes, African American

    4

    women showed the worst outcomes out of all unfavorable pregnancy outcomes. These disparities

    are postulated as being multi-factorial, having causes stemming from complicated experiences

    with racism, poverty, and complex healthcare interactions. It was also found that women covered

    under Medicaid health insurance were more likely to have consistency in care from prenatal care

    through delivery compared to their counterparts. However, due to participation in Medicaid

    programs being influenced by reimbursement rates, some providers may choose to stop

    accepting Medicaid patients because of reimbursement delays and low payment rates, which

    could contribute to negative birth outcomes (Zhang et al., 2013).

    5

    References

    Darling, E. K., Cody, K., Tubman-Broeren, M., & Marquez, O. (2021). The effect of prenatal

    care delivery models targeting populations with low rates of PNC attendance: A

    systematic review. Journal of Health Care for the Poor and Underserved, 32(1), 119-

    136. https://www.proquest.com/scholarly-journals/effect-prenatal-care-delivery-models-

    targeting/docview/2507722229/se-2

    Nichols, C. R., & Cohen, A. K. (2020). Preventing maternal mortality in the United States:

    Lessons from California and policy recommendations. Journal of Public Health Policy,

    42(1), 127-144. https://doi.org/10.1057/s41271-020-00264-9

    Rabin, R. C. (2019, May 8). Huge racial disparities persist in pregnancy-related deaths, and are

    growing. New York Times, A20(L).

    https://link.gale.com/apps/doc/A584694288/ITOF?u=nysl_me_moncol&sid=bookmark-

    ITOF&xid=b9422ff9

    Zhang, S., Cardarelli, K., Shim, R., Ye, J., Booker, K. L., & Rust, G. (2013). Racial disparities in

    economic and clinical outcomes of pregnancy among Medicaid recipients. Maternal and

    Child Health Journal, 17(8), 1518+.

    https://link.gale.com/apps/doc/A344827866/PPNU?u=nysl_me_moncol&sid=bookmark-

    PPNU&xid=51747d52

    **## 2REVIEW-cStudentSampleObj.Summ.2024-20252.docx**

    | | |
    | — | — |
    | | 1 |

    | | |
    | — | — |
    | | 4 |

    ****Racial Disparities in Healthcare Among Pregnant Women in the United States****

    Tamifer Lewis

    Department of Public Health, Monroe College, King Graduate School

    KG604-144: Graduate Research and Critical Analysis

    Dr. Manya Bouteneff

    December 4, 2022

    **Color coding: who, when, where, why, how methodology**
    **_&_ how process, what**

    Darling et al. (2021) conducted a study between 2001 and 2018 in the United States, France, Spain, and the Netherlands to examine the efficiency of qualified interventions in preterm birth, small for gestational age, low birth weight, neonatal death, cesarean deliveries, maternal care satisfaction, and coast effectiveness programs. A systematic review was used to collect data from studies of mostly non-Caucasian women from low-income population ranging from 12 to 46 years of age and being between 20 to 32 weeks' gestation. Interventional programs were implemented into three categories: group prenatal care, augmented prenatal care, or a combination of both group and augmented prenatal care (Darling et al. 2021). The researchers found that certain interventions, such as prenatal care and augmented care, or a combination of both, may decrease adverse outcomes in small-for-gestational-age and preterm birth, and could aid in increasing maternal care satisfaction. Interventions that worked on enhancing coordination of care were found to result in providing more effective cost savings. The researchers also found disparities in the quality of access to care in the vulnerable population. There was insufficient evidence of suitable quality to confirm that the interventions were successful at enhancing clinical outcomes in prenatal care for at risk populations (Darling et al. 2021).

    **References**

    Darling, E. K., Cody, K., Tubman-Broeren, M., & Marquez, O. (2021). The effect of prenatal care delivery models targeting populations with low rates of PNC attendance: A systematic review.
    _Journal of Health Care for the Poor and Underserved, 32_(1), 119-136. https://www.proquest.com/scholarly-journals/effect-prenatal-care-delivery-models-targeting/docview/2507722229/se-2

    | | | |
    | — | — | — |
    | | | |

    | | | |
    | — | — | — |
    | | | |

    **## FirstObjectiveSummary.docx**

    **CLASS/HW: First Objective Summary [graded within 24 hours]**

    **PREP TASKS**

    **(1) READ:** This assignment is not a working final document assignment; however, it will eventually make its way to the working final document–just not yet.

    For this submission, you will need to create a new WORD document and you are expected to demonstrate the following
    **compounded skills from previous weeks**, in addition to the
    **new skills learned this week** and through the later
    **Prep Tasks** below:

    ·
    **APA 7 Basics**: double-spaced, before and after set to zero; 1 inch margins all around; Times New Roman, 12 pt font; page numbers, upper right in header

    · Page 1 =
    **APA 7 Title Page**: your title can be something along the lines of, "Objective Summary of Prevalence Research Article" — of course, it will be worded to be relevant to YOUR relevant research variable

    · Page 2 =
    **Your objective summary** written as an academic paragraph (indented and full sentences) and color-coded with the designated colored font for each component.
    Use your EXCEL Research Tracker to help you summarize one of your research articles in your own words:

    _hint: copy this color chart into your Word document where you will write these, so you remember!_

    WHO = Dark BLUE

    WHY = PURPLE

    WHEN = RED

    WHERE = GREEN

    HOW + Process = ORANGE

    WHAT = Lighter BLUE

    · Page 3 = Your
    **APA 7 References Page** (with only the research article you summarized)

    **(2) REVIEW:** Open the following student sample document. Be sure yours looks similar prior to proceeding.

    **(2) REVIEW – c Student Sample Obj. Summ. (2024-2025) (2).docx**

    **SUBMISSION REQUIREMENT TASKS**

    **(1) PLAGIARISM CHECKERS:** Review the following document to learn how to meet the newly implemented submission requirements that will be expected for each written assignment in the remaining weeks:

    **SUBMISSION TASK (1) plagiarism checkers (2) (1).pptx**

    **(2) CHECK YOUR SIMILARITY:**

    · Submit your assignment into the CHECK YOUR SIMILARITY HERE folder

    · Evaluate EVERY highlighted text EXCEPT the References Page and in-text citations to ensure it links only back to
    your own work.

    **(3) TAKE YOUR AI TEXT DETECTOR SCREENSHOT:**

    · Paste your written text into this FREE AI Text Detector: Click here –>
    [Scribbr AI Text Detector](https://www.scribbr.com/ai-detector/)

    · Take a screenshot of your text and the percentage
    **(NOT TO EXCEED 10%).** You will have to take multiple screenshots if your document is over 500 words.

    **(4) FINALIZE:** Make sure your screenshot looks like the screenshot below.

    **SUBMISSION (4) Scribbr Screenshot (3).pdf**

    **(5) SUBMIT:** Attach your AI screenshot(s) WITH your WORD document submission. You will be attaching 2 documents in the submission box:
    **(1) the screenshot first, then (2) your assignment WITH title and references pages.**

    **## literaturereviewfab222025.docx**

    You cannot complete this assignment successfully without writing a successful objective summary from last class.

    If you earned less than an 85% on your first objective summary, you must copy my comments from that assignment, and assure me you dealt with any issues, and HIGHLIGHT the changes you make, THEN ensure you do not repeat these errors for your new objective summaries for the task below.

    —————————————————————————————————————————————————————-

    **PREP TASKS**

    **(1) READ:** This assignment is a working final document assignment.

    For this submission, you are expected to demonstrate the following
    **compounded skills from previous weeks:**

    ·
    **APA 7 Basics**: double-spaced, before and after set to zero; 1 inch margins all around; Times New Roman, 12 pt font; page numbers, upper right in header

    ·
    **Title & References pages**

    ·
    **Narrative and parenthetical in-text citation control of single-sourced paragraphs**

    ·
    **Transitional phrases**

    ·
    **Paraphrasing**

    **(2) REVIEW:** Your work must look like the sample below:

    **(2) REVIEW – d Student Sample Part 2 Lit Rev_ (2024-2025) (1).pdf**

    **(3) OPEN UP YOUR '**
    **_WORKING DOCUMENT_' WE SAVED IN W. 6:**

    ·
    **a.** Rename this document as "W.7 – Working Final Exam Document" or similar.

    ·
    **b.** Give your paper a name now and update it on your Title Page.

    **(4) PRE-SET YOUR LEVEL HEADERS:** Avoid mistakes later and use the sample below to set up proper level headers in your working final document.

    **W. 7 Working Doc Set Up – Level Headers (2024-2025) (1) (1).docx**

    **(5) WORK ON YOUR SUBMISSION:**

    · Go back to your Week 6 objective summary submissions to review any of my yellow notes, comments, and the rubric to update your document.

    · Put your summaries in an order that makes sense given how you compare and contrast them using your
    _who, when, where, why, how,_ and
    _what_ EXCEL Research Tracker.

    ·
    _Use your transition compare and contrast words (similar to…etc) – when you use these words,_
    _**please be sure to say somewhere HOW are they similar, etc.**_

    **5a. USE:**

    **(5a.) USE – compare and contrast words (1).pdf**

    —————————————————————————————————————————————————————–

    **SUBMISSION REQUIREMENT TASKS**

    **(1) CHECK YOUR SIMILARITY:**

    · Submit your assignment into the CHECK YOUR SIMILARITY HERE folder

    · Evaluate EVERY highlighted text EXCEPT the References Page and in-text citations to ensure it links only back to
    your own work.

    **(2) TAKE YOUR AI TEXT DETECTOR SCREENSHOT:**

    · Paste your written text into this FREE AI Text Detector: Click here –>
    [Scribbr AI Text Detector](https://www.scribbr.com/ai-detector/)

    · Take a screenshot of your text and the percentage
    **(NOT TO EXCEED 30%),** one for each objective summary written.

    **(3) FINALIZE:** Make sure your screenshot looks like the screenshot below.

    **(4) SUBMIT:** Attach your AI screenshot(s) WITH your WORD document submission. You will be attaching 2 documents in the submission box:
    **(1) the screenshot(s) first, then (2) your assignment**.

    **## 2REVIEW-dStudentSamplePart2LitRev_2024-20251.pdf**

    1

    Racial Disparities in Healthcare Among Pregnant Women in the United States

    Tamifer Lewis

    Department of Public Health, Monroe College, King Graduate School

    KG604-144: Graduate Research and Critical Analysis

    Dr. Manya Bouteneff

    December 4, 2022

    2

    Literature Review

    Review of Literature

    Adverse Pregnancy Outcome Factors

    Darling et al. (2021) conducted a study between 2001 and 2018 to examine the efficiency

    of qualified interventions in preterm birth, small for gestational age, low birth weight, neonatal

    death, cesarean deliveries, maternal care satisfaction, and coast effectiveness programs. A

    systematic review was used to collect data from the United States, France, Spain, and the

    Netherlands. The studies consisted of mostly non- Caucasian women from low-income

    population ranging from 12 to 46 years of age and being between 20 to 32 weeks' gestation.

    Interventional programs were implemented into three categories: group prenatal care, augmented

    prenatal care, or a combination of both group and augmented prenatal care (Darling et al., 2021).

    The researchers found that certain interventions, such as prenatal care and augmented care, or a

    combination of both, may decrease adverse outcomes in small-for-gestational-age and preterm

    birth, and could aid in increasing maternal care satisfaction. Interventions that worked on

    enhancing coordination of care were found to result in providing more effective cost savings.

    The researchers also found disparities in the quality of access to care in the vulnerable

    population. There was insufficient evidence of suitable quality to confirm that the interventions

    were successful at enhancing clinical outcomes in prenatal care for at risk populations (Darling et

    al., 2021).

    Similar observations were made in a study conducted by Nichols and Cohen (2020),

    between 2006 and 2018 to examine the methods used to improve the results of maternal

    mortality in California. The study was conducted using a scoping review to evaluate research on

    3

    women and maternal health in the United States. The researchers used information from the US

    Maternal Fetal Medicine Network to measure the percentage of studies where pregnant women,

    women, and children were the main focus. The researchers also reviewed documentation on

    healthcare policies and practices from California’s public health department, healthcare

    foundation, and Maternal Quality Care Collaborative. Nichols and Cohen (2020) found that

    although the health of fetus and children could be adversely affected by the health of the mother,

    the majority of maternal programs in the United States places emphasis on the child. The

    researchers also found four areas of concern in women health experiences, both in pre and

    postnatal care. The problem areas entailed inadequate investment in women's health, inefficient

    quality of care and avoidable caesarean delivers, expanding disparities in minority women and

    women living in rural areas, and contradictory collection and distribution of data (Nichols &

    Cohen, 2020).

    Approaches to Improving Pregnancy Outcomes

    In contrast to the preceding studies, Zhang et al. (2013) conducted a study between 2005

    and 2007 to calculate the excessive rate of unfavorable outcomes in pregnancy within racial and

    ethnic groups. The study also aimed to measure the possibility of Medicaid savings that are

    linked to paid maternal care claims resulting from the inequalities that contribute to unfavorable

    maternal outcomes. A cross-sectional study using Medicaid Analytic eXtract (MAX) data was

    used to gather pregnancy outcome information from inpatient hospitals from 14 states (Florida,

    Alabama, Arkansas, North Carolina, Georgia, Louisiana, Kentucky, Mississippi, Maryland,

    Missouri, Tennessee, South Carolina, Virginia, and Texas). The study consisted of a little over 2

    million patients who were insured with Medicaid and had a delivery code of maternal delivery

    stay. Zhang et al. (2013) found that, with the exception of gestational diabetes, African American

    4

    women showed the worst outcomes out of all unfavorable pregnancy outcomes. These disparities

    are postulated as being multi-factorial, having causes stemming from complicated experiences

    with racism, poverty, and complex healthcare interactions. It was also found that women covered

    under Medicaid health insurance were more likely to have consistency in care from prenatal care

    through delivery compared to their counterparts. However, due to participation in Medicaid

    programs being influenced by reimbursement rates, some providers may choose to stop

    accepting Medicaid patients because of reimbursement delays and low payment rates, which

    could contribute to negative birth outcomes (Zhang et al., 2013).

    5

    References

    Darling, E. K., Cody, K., Tubman-Broeren, M., & Marquez, O. (2021). The effect of prenatal

    care delivery models targeting populations with low rates of PNC attendance: A

    systematic review. Journal of Health Care for the Poor and Underserved, 32(1), 119-

    136. https://www.proquest.com/scholarly-journals/effect-prenatal-care-delivery-models-

    targeting/docview/2507722229/se-2

    Nichols, C. R., & Cohen, A. K. (2020). Preventing maternal mortality in the United States:

    Lessons from California and policy recommendations. Journal of Public Health Policy,

    42(1), 127-144. https://doi.org/10.1057/s41271-020-00264-9

    Rabin, R. C. (2019, May 8). Huge racial disparities persist in pregnancy-related deaths, and are

    growing. New York Times, A20(L).

    https://link.gale.com/apps/doc/A584694288/ITOF?u=nysl_me_moncol&sid=bookmark-

    ITOF&xid=b9422ff9

    Zhang, S., Cardarelli, K., Shim, R., Ye, J., Booker, K. L., & Rust, G. (2013). Racial disparities in

    economic and clinical outcomes of pregnancy among Medicaid recipients. Maternal and

    Child Health Journal, 17(8), 1518+.

    https://link.gale.com/apps/doc/A344827866/PPNU?u=nysl_me_moncol&sid=bookmark-

    PPNU&xid=51747d52

    **## 2REVIEW-cStudentSampleObj.Summ.2024-20252.docx**

    | | |
    | — | — |
    | | 1 |

    | | |
    | — | — |
    | | 4 |

    ****Racial Disparities in Healthcare Among Pregnant Women in the United States****

    Tamifer Lewis

    Department of Public Health, Monroe College, King Graduate School

    KG604-144: Graduate Research and Critical Analysis

    Dr. Manya Bouteneff

    December 4, 2022

    **Color coding: who, when, where, why, how methodology**
    **_&_ how process, what**

    Darling et al. (2021) conducted a study between 2001 and 2018 in the United States, France, Spain, and the Netherlands to examine the efficiency of qualified interventions in preterm birth, small for gestational age, low birth weight, neonatal death, cesarean deliveries, maternal care satisfaction, and coast effectiveness programs. A systematic review was used to collect data from studies of mostly non-Caucasian women from low-income population ranging from 12 to 46 years of age and being between 20 to 32 weeks' gestation. Interventional programs were implemented into three categories: group prenatal care, augmented prenatal care, or a combination of both group and augmented prenatal care (Darling et al. 2021). The researchers found that certain interventions, such as prenatal care and augmented care, or a combination of both, may decrease adverse outcomes in small-for-gestational-age and preterm birth, and could aid in increasing maternal care satisfaction. Interventions that worked on enhancing coordination of care were found to result in providing more effective cost savings. The researchers also found disparities in the quality of access to care in the vulnerable population. There was insufficient evidence of suitable quality to confirm that the interventions were successful at enhancing clinical outcomes in prenatal care for at risk populations (Darling et al. 2021).

    **References**

    Darling, E. K., Cody, K., Tubman-Broeren, M., & Marquez, O. (2021). The effect of prenatal care delivery models targeting populations with low rates of PNC attendance: A systematic review.
    _Journal of Health Care for the Poor and Underserved, 32_(1), 119-136. https://www.proquest.com/scholarly-journals/effect-prenatal-care-delivery-models-targeting/docview/2507722229/se-2

    | | | |
    | — | — | — |
    | | | |

    | | | |
    | — | — | — |
    | | | |

    **## FirstObjectiveSummary.docx**

    **CLASS/HW: First Objective Summary [graded within 24 hours]**

    **PREP TASKS**

    **(1) READ:** This assignment is not a working final document assignment; however, it will eventually make its way to the working final document–just not yet.

    For this submission, you will need to create a new WORD document and you are expected to demonstrate the following
    **compounded skills from previous weeks**, in addition to the
    **new skills learned this week** and through the later
    **Prep Tasks** below:

    ·
    **APA 7 Basics**: double-spaced, before and after set to zero; 1 inch margins all around; Times New Roman, 12 pt font; page numbers, upper right in header

    · Page 1 =
    **APA 7 Title Page**: your title can be something along the lines of, "Objective Summary of Prevalence Research Article" — of course, it will be worded to be relevant to YOUR relevant research variable

    · Page 2 =
    **Your objective summary** written as an academic paragraph (indented and full sentences) and color-coded with the designated colored font for each component.
    Use your EXCEL Research Tracker to help you summarize one of your research articles in your own words:

    _hint: copy this color chart into your Word document where you will write these, so you remember!_

    WHO = Dark BLUE

    WHY = PURPLE

    WHEN = RED

    WHERE = GREEN

    HOW + Process = ORANGE

    WHAT = Lighter BLUE

    · Page 3 = Your
    **APA 7 References Page** (with only the research article you summarized)

    **(2) REVIEW:** Open the following student sample document. Be sure yours looks similar prior to proceeding.

    **(2) REVIEW – c Student Sample Obj. Summ. (2024-2025) (2).docx**

    **SUBMISSION REQUIREMENT TASKS**

    **(1) PLAGIARISM CHECKERS:** Review the following document to learn how to meet the newly implemented submission requirements that will be expected for each written assignment in the remaining weeks:

    **SUBMISSION TASK (1) plagiarism checkers (2) (1).pptx**

    **(2) CHECK YOUR SIMILARITY:**

    · Submit your assignment into the CHECK YOUR SIMILARITY HERE folder

    · Evaluate EVERY highlighted text EXCEPT the References Page and in-text citations to ensure it links only back to
    your own work.

    **(3) TAKE YOUR AI TEXT DETECTOR SCREENSHOT:**

    · Paste your written text into this FREE AI Text Detector: Click here –>
    [Scribbr AI Text Detector](https://www.scribbr.com/ai-detector/)

    · Take a screenshot of your text and the percentage
    **(NOT TO EXCEED 10%).** You will have to take multiple screenshots if your document is over 500 words.

    **(4) FINALIZE:** Make sure your screenshot looks like the screenshot below.

    **SUBMISSION (4) Scribbr Screenshot (3).pdf**

    **(5) SUBMIT:** Attach your AI screenshot(s) WITH your WORD document submission. You will be attaching 2 documents in the submission box:
    **(1) the screenshot first, then (2) your assignment WITH title and references pages.**

    **## literaturereviewfab222025.docx**

    You cannot complete this assignment successfully without writing a successful objective summary from last class.

    If you earned less than an 85% on your first objective summary, you must copy my comments from that assignment, and assure me you dealt with any issues, and HIGHLIGHT the changes you make, THEN ensure you do not repeat these errors for your new objective summaries for the task below.

    —————————————————————————————————————————————————————-

    **PREP TASKS**

    **(1) READ:** This assignment is a working final document assignment.

    For this submission, you are expected to demonstrate the following
    **compounded skills from previous weeks:**

    ·
    **APA 7 Basics**: double-spaced, before and after set to zero; 1 inch margins all around; Times New Roman, 12 pt font; page numbers, upper right in header

    ·
    **Title & References pages**

    ·
    **Narrative and parenthetical in-text citation control of single-sourced paragraphs**

    ·
    **Transitional phrases**

    ·
    **Paraphrasing**

    **(2) REVIEW:** Your work must look like the sample below:

    **(2) REVIEW – d Student Sample Part 2 Lit Rev_ (2024-2025) (1).pdf**

    **(3) OPEN UP YOUR '**
    **_WORKING DOCUMENT_' WE SAVED IN W. 6:**

    ·
    **a.** Rename this document as "W.7 – Working Final Exam Document" or similar.

    ·
    **b.** Give your paper a name now and update it on your Title Page.

    **(4) PRE-SET YOUR LEVEL HEADERS:** Avoid mistakes later and use the sample below to set up proper level headers in your working final document.

    **W. 7 Working Doc Set Up – Level Headers (2024-2025) (1) (1).docx**

    **(5) WORK ON YOUR SUBMISSION:**

    · Go back to your Week 6 objective summary submissions to review any of my yellow notes, comments, and the rubric to update your document.

    · Put your summaries in an order that makes sense given how you compare and contrast them using your
    _who, when, where, why, how,_ and
    _what_ EXCEL Research Tracker.

    ·
    _Use your transition compare and contrast words (similar to…etc) – when you use these words,_
    _**please be sure to say somewhere HOW are they similar, etc.**_

    **5a. USE:**

    **(5a.) USE – compare and contrast words (1).pdf**

    —————————————————————————————————————————————————————–

    **SUBMISSION REQUIREMENT TASKS**

    **(1) CHECK YOUR SIMILARITY:**

    · Submit your assignment into the CHECK YOUR SIMILARITY HERE folder

    · Evaluate EVERY highlighted text EXCEPT the References Page and in-text citations to ensure it links only back to
    your own work.

    **(2) TAKE YOUR AI TEXT DETECTOR SCREENSHOT:**

    · Paste your written text into this FREE AI Text Detector: Click here –>
    [Scribbr AI Text Detector](https://www.scribbr.com/ai-detector/)

    · Take a screenshot of your text and the percentage
    **(NOT TO EXCEED 30%),** one for each objective summary written.

    **(3) FINALIZE:** Make sure your screenshot looks like the screenshot below.

    **(4) SUBMIT:** Attach your AI screenshot(s) WITH your WORD document submission. You will be attaching 2 documents in the submission box:
    **(1) the screenshot(s) first, then (2) your assignment**.

    **## 2REVIEW-dStudentSamplePart2LitRev_2024-20251.pdf**

    1

    Racial Disparities in Healthcare Among Pregnant Women in the United States

    Tamifer Lewis

    Department of Public Health, Monroe College, King Graduate School

    KG604-144: Graduate Research and Critical Analysis

    Dr. Manya Bouteneff

    December 4, 2022

    2

    Literature Review

    Review of Literature

    Adverse Pregnancy Outcome Factors

    Darling et al. (2021) conducted a study between 2001 and 2018 to examine the efficiency

    of qualified interventions in preterm birth, small for gestational age, low birth weight, neonatal

    death, cesarean deliveries, maternal care satisfaction, and coast effectiveness programs. A

    systematic review was used to collect data from the United States, France, Spain, and the

    Netherlands. The studies consisted of mostly non- Caucasian women from low-income

    population ranging from 12 to 46 years of age and being between 20 to 32 weeks' gestation.

    Interventional programs were implemented into three categories: group prenatal care, augmented

    prenatal care, or a combination of both group and augmented prenatal care (Darling et al., 2021).

    The researchers found that certain interventions, such as prenatal care and augmented care, or a

    combination of both, may decrease adverse outcomes in small-for-gestational-age and preterm

    birth, and could aid in increasing maternal care satisfaction. Interventions that worked on

    enhancing coordination of care were found to result in providing more effective cost savings.

    The researchers also found disparities in the quality of access to care in the vulnerable

    population. There was insufficient evidence of suitable quality to confirm that the interventions

    were successful at enhancing clinical outcomes in prenatal care for at risk populations (Darling et

    al., 2021).

    Similar observations were made in a study conducted by Nichols and Cohen (2020),

    between 2006 and 2018 to examine the methods used to improve the results of maternal

    mortality in California. The study was conducted using a scoping review to evaluate research on

    3

    women and maternal health in the United States. The researchers used information from the US

    Maternal Fetal Medicine Network to measure the percentage of studies where pregnant women,

    women, and children were the main focus. The researchers also reviewed documentation on

    healthcare policies and practices from California’s public health department, healthcare

    foundation, and Maternal Quality Care Collaborative. Nichols and Cohen (2020) found that

    although the health of fetus and children could be adversely affected by the health of the mother,

    the majority of maternal programs in the United States places emphasis on the child. The

    researchers also found four areas of concern in women health experiences, both in pre and

    postnatal care. The problem areas entailed inadequate investment in women's health, inefficient

    quality of care and avoidable caesarean delivers, expanding disparities in minority women and

    women living in rural areas, and contradictory collection and distribution of data (Nichols &

    Cohen, 2020).

    Approaches to Improving Pregnancy Outcomes

    In contrast to the preceding studies, Zhang et al. (2013) conducted a study between 2005

    and 2007 to calculate the excessive rate of unfavorable outcomes in pregnancy within racial and

    ethnic groups. The study also aimed to measure the possibility of Medicaid savings that are

    linked to paid maternal care claims resulting from the inequalities that contribute to unfavorable

    maternal outcomes. A cross-sectional study using Medicaid Analytic eXtract (MAX) data was

    used to gather pregnancy outcome information from inpatient hospitals from 14 states (Florida,

    Alabama, Arkansas, North Carolina, Georgia, Louisiana, Kentucky, Mississippi, Maryland,

    Missouri, Tennessee, South Carolina, Virginia, and Texas). The study consisted of a little over 2

    million patients who were insured with Medicaid and had a delivery code of maternal delivery

    stay. Zhang et al. (2013) found that, with the exception of gestational diabetes, African American

    4

    women showed the worst outcomes out of all unfavorable pregnancy outcomes. These disparities

    are postulated as being multi-factorial, having causes stemming from complicated experiences

    with racism, poverty, and complex healthcare interactions. It was also found that women covered

    under Medicaid health insurance were more likely to have consistency in care from prenatal care

    through delivery compared to their counterparts. However, due to participation in Medicaid

    programs being influenced by reimbursement rates, some providers may choose to stop

    accepting Medicaid patients because of reimbursement delays and low payment rates, which

    could contribute to negative birth outcomes (Zhang et al., 2013).

    5

    References

    Darling, E. K., Cody, K., Tubman-Broeren, M., & Marquez, O. (2021). The effect of prenatal

    care delivery models targeting populations with low rates of PNC attendance: A

    systematic review. Journal of Health Care for the Poor and Underserved, 32(1), 119-

    136. https://www.proquest.com/scholarly-journals/effect-prenatal-care-delivery-models-

    targeting/docview/2507722229/se-2

    Nichols, C. R., & Cohen, A. K. (2020). Preventing maternal mortality in the United States:

    Lessons from California and policy recommendations. Journal of Public Health Policy,

    42(1), 127-144. https://doi.org/10.1057/s41271-020-00264-9

    Rabin, R. C. (2019, May 8). Huge racial disparities persist in pregnancy-related deaths, and are

    growing. New York Times, A20(L).

    https://link.gale.com/apps/doc/A584694288/ITOF?u=nysl_me_moncol&sid=bookmark-

    ITOF&xid=b9422ff9

    Zhang, S., Cardarelli, K., Shim, R., Ye, J., Booker, K. L., & Rust, G. (2013). Racial disparities in

    economic and clinical outcomes of pregnancy among Medicaid recipients. Maternal and

    Child Health Journal, 17(8), 1518+.

    https://link.gale.com/apps/doc/A344827866/PPNU?u=nysl_me_moncol&sid=bookmark-

    PPNU&xid=51747d52