Research Article
Data Analysis of Cancer Incidence and Mortality Disparities Among African Americans in Louisiana
Prasanthi Sreekumari*
,
Abhishek Amgain
Issue:
Volume 8, Issue 2, June 2025
Pages:
10-21
Received:
5 March 2025
Accepted:
21 March 2025
Published:
27 April 2025
Abstract: Cancer is a major cause of death in the United States. Different racial and ethnic groups have different cancer rates and survival chances. In Louisiana, African Americans have some of the highest cancer rates in the state, according to a recent report. Louisiana also ranks fifth in the country for cancer deaths, making the issue even more serious. Several factors contribute to these differences. Many African Americans in Louisiana have limited access to healthcare, struggle financially, and live in areas with environmental risks. Because of these challenges, they often cannot get cancer screenings and treatment early, leading to late diagnoses and worse health outcomes. Low income and unemployment make it even harder to get proper medical care. Some areas also have high pollution, which can increase cancer risk. Cancer rates vary between cities and rural areas in Louisiana. Rural areas have fewer hospitals and doctors, causing delays in diagnosis. Cities may have more hospitals, but more pollution, which can raise cancer risks. Gender also affects cancer rates. African American men are more likely to get prostate and thyroid cancer, while African American women are more likely to develop severe types of liver and breast cancer. These differences show the need for better prevention and treatment plans. In this research, we study the five most common cancers among African Americans in Louisiana over the past five years, focusing on gender and location. Using Python and tools like Pandas, Seaborn, Matplotlib and SAS, the research analyzes cancer patterns and causes. The goal is to find useful information to improve public health and make healthcare more accessible for African Americans in Louisiana.
Abstract: Cancer is a major cause of death in the United States. Different racial and ethnic groups have different cancer rates and survival chances. In Louisiana, African Americans have some of the highest cancer rates in the state, according to a recent report. Louisiana also ranks fifth in the country for cancer deaths, making the issue even more serious....
Show More
Research Article
Multi-model Database Design and Query Processing in NewSQL DBMSs
Joachim Tankoano*
Issue:
Volume 8, Issue 2, June 2025
Pages:
22-41
Received:
4 April 2025
Accepted:
17 April 2025
Published:
9 May 2025
DOI:
10.11648/j.ajcst.20250802.12
Downloads:
Views:
Abstract: NewSQL DBMSs are hybrid systems that combine the advantages of both SQL DBMSs and NoSQL DBMSs. This paper proposes a method for designing a database to be implemented on a NewSQL DBMS. The objectives of this method are identifying and defining heterogeneous collections of values that adhere to different data models, which are essential for an enterprise's operations, with the goal of storing and managing them within only one database. This method is based on a Relational Data Store and the Nested Relational Model. It allows the designer to use the Data Store as a guarantor of integrity and to optimize it for hybrid workloads (transactional and analytical), performance, scalability, and continuous data availability. As for the nested relational model, it is used by the designer to: (1) clarify their choices regarding storage models that can enable fast access to data about complex real-world entities; (2) specify access paths that can meet user needs. The main interest and the originality of this methodological approach are that this enables us to use the Nested Relational Model as a Pivot Model to: (1) automatically generate the global external schemas of the NoSQL virtual databases, allowing users to view and manipulate the Data Store as if it were a NoSQL database (object-relational, XML, JSON, or graph-oriented), and (2) unify the processing of cross-model SQL queries through an innovative and efficient approach. This method consistently integrates, through five levels of abstraction, the design process of the relational Data Store and that of the virtual databases. The research method used consisted of: (1) defining the objectives of this approach, (2) identifying the required levels of abstraction in light of the targeted objectives, (3) determining, for each level of abstraction, its specific objectives as well as the role to be played by the designer, a design support tool, and the DBMS, and (4) applying this approach to a typical example reflecting the most common needs, in order to facilitate the understanding of its contributions and relevance with respect to the intended objectives.
Abstract: NewSQL DBMSs are hybrid systems that combine the advantages of both SQL DBMSs and NoSQL DBMSs. This paper proposes a method for designing a database to be implemented on a NewSQL DBMS. The objectives of this method are identifying and defining heterogeneous collections of values that adhere to different data models, which are essential for an enter...
Show More
