The Knowledge, Attitude, and Practice about Fertility Preservation among Oncologist-A Cross-Sectional Study

BackgroundFertility Preservation is the process of saving or protecting a person’s ability to have children in the future. It is often considered for individuals to undergo medical treatments that may impact their fertility, such as chemotherapy. Hence, the current study is aimed to assess clinical practitioners’ knowledge, practice, and attitude toward fertility preservation among oncologists. MethodsA cross-sectional survey was carried out to identify the current knowledge, attitudes, and practices regarding fertility preservation among oncologists—a total of seventy-nine oncologists in Karachi working in different public and private sectors. The study was conducted between January to August 2022. The data was gathered using a self-designed questionnaire that was distributed via email. ResultsOne hundred and eighty oncologists were provided with the survey form via email. The response rate was 47.22% (n=85). Out of which, six questionnaires were excluded due to incomplete information. The total questionnaire analyzed was n=79, which included 58 (73.41%) males and 21 (16.59%) females. ConclusionThe results revealed that oncologists had a compromised knowledge regarding fertility preservation for cancer patients. Despite weak knowledge, most oncologists believe that more elaborative measures should be taken to overcome this issue.   DOI: https: //doi. Org/10.59564/amrj/01.01/004

Fipa-Basedreference Architecture for Efficient Discovery and Selection of Appropriatecloud Service Using Cloud Ontology

Cloud Computing (CC) is considered the latest emerging computing paradigm and has brought revolutionary changes in computing technology. With the advancement in this field, the number of Cloud users and service providers are increasing continuously with more diversified services. Consequently, the selection of appropriate Cloud services has become a difficult task for a new Cloud customer. In case of inappropriate selection of a Cloud services, a Cloud customer may face the vendor locked-in issue, data portability, and interoperability issues. To avoid these complexities, a Cloud customer needs to select a required Cloud service at the initial stage of the migration to the Cloud. Many researchers have proposed their approaches to overcome these issues; however, problems still exist in inter-communication standards among Clouds and vendor locked-in issues. This thesis contributed an IEEE-FIPA (Foundation for Intelligent Physical Agent) compliance multi-agent reference architecture for efficient discovery and selection of Cloud services using Cloud ontology. The proposed approach will mitigate the prevailing vendor locked-in issue and also alleviate the portability and interoperability problems in Cloud computing. In order to assess the proposed reference architecture and compare with the state-of-the-art approaches, three different use cases are presented. In addition, a number of experiments have been performed and results are obtained in terms of Precision, Recall and F-measure. The obtained results reveal that our proposed approach performs better in Cloud discovery and selection service with respect to search efficiency, execution, and response time.