Please fill out this form to compare and contrast your?three?research articles Use your transition compare and contrast words

a. Methodology

Dall’Ora et al. (2015) and Stimpfel et al. (2012) both used qualitative methods with large sample sizes; 31,627 (Dall’Ora et al., 2015) and 22,275 (Stimpfel et al., 2012)

b. Findings

Both studies (Dall’Ora et al., 2015; Stimpfel et al., 2012) found a strong association between longer shifts and job dissatisfaction and the negative effects on patient satisfaction.

c. Recommendations

Both studies (Dall’Ora et al., 2015; Stimpfel et al., 2012) suggest policy makers to use the findings to reconsider their current approach of increasing hours due to nurse shortage

Your turn!

1. Compare: How are your articles similar for each section below?

a. Methodology

b. Findings

c. Recommendations

2. Contrast: How are your articles different for each section below?

d. Methodology

e. Findings

f. Recommendations

• also

• in the same way

• at the same time

And

Contrast

. unlike

• in contrast

• contrasted with

• on the contrary

• while…

2. Purpose

The research was conducted to find out the different concepts of big data that exist including the nature, definitions, types, and characteristics. The primary focus of the research was to find out more about the storage of enormous amounts of data and fast processing of data.

3. Date of Data Collection

The data for the study was conducted in 2020 because it was obtained from secondary literature.

4. Place of Data Collection

The study was conducted in Sialkot, 51040, Pakistan.

5. Method of Data Collection

The data was collected from a series of existing literature concerning handling big data. The resources were used to reveal the various features of big data that make it special in today’s organizations.

6. Findings

The study outlined the characteristics of big data, the different types of big data, the opportunities that big data presents, and the emerging issues of big data. The paper also includes the solution of Hadoop to help in handling big proportions of data.

Summary

The research was conducted by Rida Qayyum from the Government College Women University Sialkot in Pakistan in the year 2020. The researcher undertook the study to reveal the concepts of big data and how big data can be transferred from one storage to another easily.

The data for the study was obtained from secondary sources including journals, websites, and trusted sources like the IEEE. The author selected other texts that would provide information to boost understanding of big data. The research not only presented the concepts, but also gave a solution for those who handle big data.

The study revealed various areas of big data like the features, types, opportunities, and emerging issues like storing colossal amount of data, and having a complex data structure. While the capacity of hard disks is increasing, the performance of disk transfer is not increasing. This niche brings the solution of Hadoop which combines Hadoop kernel, MapReduce, and Hadoop Distributed File System (HDFS), where the latter allows parallel processing of the data in distributed file system.

Note Sheet 3: DOD-ETL: distributed on-demand ETL for near real-time business intelligence

1. Researcher(s)

The research was conducted by four authors namely: Machado, Cunha, Pereira, and Oliveira who published it in the journal of internet services and applications; these first researcher is from the Department of Computer Science, Universidade Federal de Minas Gerais, Belo Horizonte, Brazil.

2. Purpose

The research question was to discover how to enable a near real-time Business Intelligence (BI) approach. The study was completed to review (BI) and the process of Extract Transform Load (ETL). The researchers wanted to develop a near real-time ETL solution and implement in using Demonstrated on Demand (DOD) ETL. The study proposed the DOD-ETL as a technology that combines multiple strategies to achieve near real-time ETL. The study finally compares DOD-ETL with other related works.

3. Date of Data Collection

The data for the study was collected in 2019 and published in Open Access.

4. Place of Data Collection

The research was conducted in the Universidade Federal de Minas Gerais, Belo Horizonte, Brazil.

5. Method of Data Collection

The data was collected from secondary sources to solve the problems of the research including integration of data sources, mastering data overheads, degradation of performance, and backing up data. Other publications included Stream Processing frameworks to solve real-time ETL.

6. Findings

The experiments in the study revealed that DOD-ETL significantly increase the speed of Spark. DOD-ETL is able to process data at a higher rate than the baseline despite having the In-Memory Table Updater data dump from Message Queue. The study also showed that DOD-ETL customizations have no negative impact on the fault-tolerance and scalability of Spark Streaming. In other words, DOD-ETL techniques and strategies help to reduce the run time of ETL. This model outperforms a modern framework for Stream Processing.

Summary

The study was conducted using secondary sources of data that present various solutions for technological issues. Some of the problems included the integration of data sources, backup, and mastering data overheads. The researchers also considered publications that contain information on Stream Processing.

References

Munappy, A. R., Mattos, D. I., Bosch, J., Olsson, H. H., & Dakkak, A. (2020, June). From ad-hoc data analytics to dataops. In Proceedings of the International Conference on Software and System Processes (pp. 165-174). https://research.chalmers.se/publication/521464/file/521464_Fulltext.pdf

Qayyum, R. (2020). A roadmap towards big data opportunities, emerging issues and hadoop as a solution. Rida Qayyum." A Roadmap Towards Big Data Opportunities, Emerging Issues and Hadoop as a Solution", International Journal of Education and Management Engineering (IJEME), 10(4), 8-17. https://j.mecs-press.net/ijeme/ijeme-v10-n4/IJEME-V10-N4-2.pdf

Cancer is a major cause of morbidity and mortality globally, accounting for 9.5 million deaths as of 2018. Thyroid Cancer is one of the most frequent endocrine malignancies, contributing to 3.4 percent of all cancers in the United States each year Indini et al.(2022). While there has been significant progress in the development of new cancer treatments and the increase in the use of anticancer drugs over the past few years, the side effects of these drugs can be severe and sometimes life-threatening. However, there is still a lack of evidence regarding their efficacy and safety. As a result, it is critical to assess the benefits and risks of these medications before hospitals use them to treat cancer patients. This literature review aims to assess the benefits and risks of anticancer medicines in patients with advanced cancer. This literature study will aid in a deeper understanding of these medications and their prospective usage in cancer care.

Compare and Contrast

1. What articles have similarities in each section below? 

a.    Methodology 

Silaghi et al. (2022) and Bachelard et al. (2021) conducted systematic reviews and meta-analyses to investigate the risks and advantages of anticancer medications in patients with advanced cancer, as well as potential causes of resistance to such treatments. Both investigations looked for clinical trials in English written between the years 2000 through 2021 and followed the PRISMA criteria. Indini et al. (2022) employed a different technique conducting a systematic review of the function of the mTOR and NAD pathways in malignancy treatment, progression, and resistance. This study searched Google Scholar, Scopus, PubMed, and Embase for English language papers published between 2000 through 2021.

b.    Findings 

Anticancer medication usage was related to a considerable risk of death in advanced cancer patients, according to Silaghi et al. (2022) and Bachelard et al. (2021). However, the authors discovered that these medications were linked to a considerable increase in the likelihood of surviving for at least a year. Furthermore, the researchers discovered that using these medications was related to a considerable increase in the likelihood of living for more than five years. Their findings differed significantly from those of Indini et al. (2022), who discovered that the mTOR and NAD paths are responsible for drug resistance in malignant cells. Furthermore, the authors discovered that these pathways might be possible targets for future treatment methods.

c.    Recommendations 

Targeted therapy is recommended by Bachelard et al. (2021), Indini et al. (2022), and Silaghi et al. (2022) as potential therapeutic choices for individuals with advanced cancer who have completed standard-of-care treatment. They also emphasize the necessity of knowing medication resistance mechanisms to design more effective targeted therapeutics. Furthermore, they underline the need for trustworthy biomarkers in guiding treatment decisions. Finally, they examine the prospects of immunotherapeutic and combinatorial treatment as resistance-busting techniques for targeted therapeutics.

2. What articles have differences in each section below? 

a.    Methodology 

There are major discrepancies in technique between studies by Bachelard et al.(2021) and Indini et al. (2022). Bachelard et al.(2021) assessed the benefits and dangers of anticancer medicines in advanced cancer patients using a meta-analysis and systematic review. Indini et al.(2022) conducted a literature review to find the most recent guidelines, clinical and preclinical research, and novel perspectives in treating advanced, malignant RAIR-DTC. Both Bachelard (2021) and Indini et al. (2022) employed various databases and search phrases. Such databases included PubMed, Google Scholar, and Embase. Bachelard et al. (2021) explored clinical trials testing

Anti-cancer medications in adult patients with metastatic tumors, whereas Indini et al. (2022) looked for publications about DTC therapy and innovative therapeutic approaches. It is also worth mentioning that Bachelard et al. (2021) included a data meta-analysis, but Indini et al. (2022) did not; this is the most likely because Bachelard (2021) was concerned with assessing the effectiveness of anticancer medications. In contrast, Indini et al. (2022) were concerned with locating the most recent recommendations and research on the therapy of DTC.

b.    Findings 

Indini et al. (2022) had different results than Silaghi et al. (2022). While Indini et al. (2022) discovered that the mTOR and NAD paths play a role in drug resistance development in malignant cells, Silaghi et al. (2022) discovered that targeted therapy is a viable therapeutic option for thyroid cancer.

c.    Recommendations

When discussing therapy choices with advanced cancer patients, Bachelard et al. (2021) propose that adverse effects documented in clinical trials should be considered.

As prospective options for overcoming resistance, Indini et al. (2022) propose combinatorial treatment, redifferentiation therapy, targeting alternative pathways and immunotherapy. Silaghi et al. (2022) propose targeted therapy for patients with distinguishable thyroid carcinoma who have developed resistanceto radioiodine treatment. They advocate salvage treatment for patients who fail to respond to first-line Tyrosine kinase inhibitors therapy.

References:

Indini, A., Fiorilla, I., Ponzone, L., Calautti, E., & Audrito, V. (2022). NAD/NAMPT and mTOR pathways in melanoma: Drivers of drug resistance and prospective therapeutic targets. International Journal of Molecular Sciences, 23(17), 9985. https://doi.org/10.3390/ijms23179985

Moreau Bachelard, C., Coquan, E., du Rusquec, P., Paoletti, X., & Le Tourneau, C. (2021). Risks and benefits of anticancer drugs in advanced cancer patients: A systematic review and meta-analysis. EClinicalMedicine, 40, 101130. https://doi.org/10.1016/j.eclinm.2021.101130

Silaghi, H., Lozovanu, V., Georgescu, C. E., Pop, C., Nasui, B. A., Cătoi, A. F., & Silaghi, C. A. (2022). State of the art in the current management and future directions of targeted therapy for differentiated thyroid cancer. International Journal of Molecular Sciences, 23(7), 3470.

https://doi.org/10.3390/ijms23073470