Al-Zahra College for Women

The poor prognosis associated with gastric cancer (GC) is attributable to its frequent diagnosis at an incurable advanced stage. The infection-induced dysregulation of gastric mucosal function by Helicobacter pylori remains the hallmark risk factor for gastric neoplasms. However, the complex underlying molecular mechanisms between H. pylori infection and malignancy pose severe limitations for preclinical therapeutic interventions. Moreover, increased expression of microRNA-136 (miR-136) directly precedes H. pylori infection. Considering these pathways of endemic GC initiation, this mini review suggests that H. pylori -induced miR-136 expression not only functions as another candidate but actually demonstrates paradigm-shifting significance for noninvasive GC prescreening.

In light of the rapid technological changes in general and their use in the field of work and marketing in particular, this study was presented by providing an intellectual and conceptual framework about two main variables, which is the independent variable, artificial intelligence, represented by its dimensions (content recommendation, expert systems, machine learning), while the dependent variable included electronic marketing for organizations, represented by its dimensions (attraction, communication, participation). Due to the novelty of artificial intelligence and the need to apply it in organizations whose work is predominantly digital, Asiacell Telecommunications Company in Iraq was chosen as the field of study. A questionnaire was used as the data collection tool to gather information from a comprehensive survey of the 33 participants in the study. The data was analyzed using SPSS version 18, employing statistical methods such as the mean and standard deviation. This study aimed to identify the nature of the relationship between artificial intelligence (AI) and e-marketing, and to determine the extent to which AI contributes to enhancing e-marketing for organizations. To achieve its objectives, the researcher designed a hypothetical model illustrating the relationship between the variables. To explore this relationship, several hypotheses were proposed: first, there is a statistically significant correlation between AI and e-marketing; and second, there is a statistically significant effect of AI on e-marketing.

Cloud computing(CC), which utilizes massively virtualized data centers to deliver quick and affordable computing solutions, has developed ‎into an established industrial standard that is growing quickly. To handle such a massive amount of data effectively, cloud computing mostly ‎relies on automation and dynamic resource management. In cloud computing, load balancing (LB) is a vital technique for maximizing ‎resource utilization and making sure that no resource is used up. Without the requirement for physical infrastructure, cloud ‎LB allows online platforms to adjust their resources in response to traffic demands. In a cloud environment, workload and resource allocation entail determining the best way to divide up work among several servers. For increasingly severe uncertainty problems, traditional LB ‎approaches are simple but ineffective; for this reason, meta-heuristic methods are employed. This algorithm is heuristic and is independent ‎of the complexity of the challenges. Meta-heuristics approaches based on Artificial Intelligence (AI) are employed to analyze real-time data ‎and intelligently distribute workload among servers. This ensures efficient operations by preventing bottlenecks and enabling proactive LB ‎decisions. The review offers a thorough analysis of meta-heuristics techniques based on artificial intelligence (AI) for static and dynamic LB ‎in both homogeneous and heterogeneous cloud systems.

This study explores the synergy between Fintech and Green Finance. It employed quantitative research methodology through bibliometric analysis, highlighting the performance analysis of data and providing a scientific map of previous studies related to the topic. Key findings based on performance analysis showed that 2024 marked the highest publication of Fintech and Green Finance, most sources from journals. The top university publishing in this area is the University of Hongkong specializing in Finance and Economics, and China produced the most manuscripts. Bibliometric analysis revealed that the top three keywords are green finance, China, and economic development. While co-authorship assessment showed the highest link strength by Fahad Taghzadeh-hesary and the most bibliographically coupled documents are those manuscripts that are published in Environmental Science and Pollution Research, and Sustainability Journals. More studies on Fintech and green finance are highly recommended to fill the gap in the body of knowledge and foster environmental and economic sustainability.

Breast cancer poses a significant global health challenge, necessitating improved diagnostic and treatment strategies. This review explores the role of artificial intelligence (AI) in enhancing breast cancer pathology, emphasizing risk assessment, early detection, and analysis of histopathological and mammographic data. AI platforms show promise in predicting breast cancer risks and identifying tumors up to three years before clinical diagnosis. Deep learning techniques, particularly convolutional neural networks (CNNs), effectively classify cancer subtypes and grade tumor risk, achieving accuracy comparable to expert radiologists. Despite these advancements, challenges, such as the need for high-quality datasets and integration into clinical workflows, persist. Continued research on AI technologies is essential for advancing breast cancer detection and improving patient outcomes.

The hallmarks of sickle cell disease (SCD), a genetic hemoglobinopathy, include chronic hemolysis, vaso-occlusive crises, and systemic consequences, such as musculoskeletal symptoms that can sometimes resemble those of rheumatoid arthritis (RA). This case series examines the clinical challenges and RA management strategies in five SCD patients, comprising three women and two men, aged 21–52 years. Important observations are the complexity of treatment due to comorbidities such as severe anemia and vaso-occlusive crises, as well as the delayed identification of RA because of symptoms that cross with SCD, like joint pain and inflammation. Patients responded differently to methotrexate (MTX), the major disease-modifying therapy. Two had modest disease activity; others required glucocorticoids or biological agents like rituximab, which sometimes resulted in SCD complications. While it benefited some individuals, the exact function of hydroxyurea was still unknown. Especially, alleviating the anemia caused by Methotrexate (MTX) requires folate supplements. The series stresses the need for a multidisciplinary approach, tailored treatments, and higher suspicion for RA when SCD patients suffer from persistent joint discomfort. These discoveries underline the part that chronic inflammation plays in the pathogenesis of both SCD and RA, therefore stressing the importance of close surveillance and customized treatment to enhance effects.

The study of technological proficiency is a key concern within a nation's educational and social programs. Throughout their academic journey, ranging from primary through secondary education and afterwards in higher education, students cultivate and enhance a diverse range of abilities, including technology proficiency. Information technology has changed the way businesses and higher education institutions work and the strategies they use. Colleges and universities worldwide are spending a lot of money on IT resources for students and faculty. Hence, this study investigates the trend of studies conducted in the field from 2000–2023 using bibliometric analysis. The bibliometric data generated contains 831 documents and was analyzed using VOSViewer software. Highlights of the findings revealed that the highest number of documents was published in 2020–2023, they were mostly sourced from journals, and top institutions performing research were from the USA, Australia, Israel, England, and Mexico. Antonella Nuzzaci was the author with the most publications, and the journals with most articles in the field were the Interdisciplinary Journal of e-Skills and Lifelong Learning Education, and Information Technologies. The results of co-occurrences based on Total Link Strength revealed keywords such as universities, internet, online learning, technology, and curriculum. The most cited documents were published from 2000–2005, and the most cited journals are Education and Information Technologies, Small Business Economics, and TechTrends. The trend of research on technological proficiency in higher education from 2000–2023 serves as reliable data to consider for further studies related to the field and for references and literature. The findings add value to current studies or topics of interest.