As the pace of changes in the digital world is increasing exponentially, the appeal to shift from traditional platforms to digital ones is increasing as well. Accomplishing digital transformation objectives is impossible without information security considerations. Business leaders should rethink information security challenges associated with digital transformation and consider solutions to seize existing opportunities. When it comes to information security, human beings play a critical role. Raising users' awareness is a meaningful approach to avoid or neutralize the likelihood of unwanted security consequences that may occur during transforming a system digitally. This chapter will discuss cybersecurity and information security awareness and examine how digital transformation will be affected by implementing information security awareness. This chapter will discuss the digital transformation advantages and serious challenges associated with cybersecurity, how to enhance cybersecurity, and the role of information security awareness to mitigate cybersecurity risks.
The world of finance has been transforming alongside the rapid growth of technology significantly. FinTech companies have emerged as a consequence of technological developments in the financial sector. Despite the upward trends in the growth of FinTech, they definitely need a business model to survive and grow in the competitive market. A FinTech business model includes operating strategy, revenue sources, and intended customer base. FinTech organizations need to adopt approaches to ensure their services and products are available to their customers across different platforms and are not necessarily reliant on a convoluted sign-up process. This chapter reviews the main considerations in FinTech business models, and the success factors of a business model, and provides a guide to having a business model that wins in the market.
Background: Hepatocellular carcinoma (HCC) is a major worldwide health concern and is the third leading cause of cancer death. Recent studies have focused on the association between long non-coding RNAs (lncRNAs) and cancer, lncRNAs showed to have an important role in the prognosis, diagnostic, and investigation of liver cancer. Therefore, this study focuses on the expression profiles of HOTAIR, MALAT1, and UCA1 lncRNAs considering the clinicopathological characteristics of patients with liver tumors. Methods and Results: The expression profiles of HOTAIR, MALAT1, and UCA1 lncRNAs were evaluated using qRT-PCR in the paired liver tumor and the adjacent non-tumor samples. After RNA extraction from tissue samples, cDNA synthesis and the RT-qPCR method were performed. Livak method (2-ΔΔCt) was used for calculating the expression level of lncRNAs. Principal-component analyses followed by receiver operating characteristic (ROC) curve analyses were performed to evaluate the diagnostic potential of the selected lncRNAs. Our results showed that HOTAIR, MALAT1, and UCA1 were overexpressed significantly in patients with liver cancer compared to the healthy groups (P < 0.001). Moreover, the expression of HOTAIR was enhanced significantly compared to the expression of MALAT1 and UCA1 in patients with liver cancer (P < 0.001). This study showed that there were no significant associations between lncRNAs expression and the clinical characteristics (P > 0.05). Significantly elevated circulating lncRNAs were found to be liver cancer-specific and showed differentiation of liver cancer samples from the controls. Kaplan-Meier analysis revealed no significant correlations between the lncRNAs expression and overall survival. Conclusion: Based on our findings, the studied lncRNAs were not correlated with clinicopathological characteristics of the liver cancer patients although the overexpression of these lncRNAs might provide novel molecular biomarkers in HCC cases.
In this chapter, the correlation between artificial intelligence as a republic of opportunities to revolutionize the establishment of strategy using competitive intelligence was investigated. Despite the great potential of artificial intelligence as an emerging technology to process unimaginable quantities of data through intelligent computational technologies, integrated mathematical models, and algorithms, some businesses are still unaware of the functionality of artificial intelligence in creating strategic development or they may be to some extent alarmist about impacts of artificial intelligence as a kind of threat for the business. Therefore, the great value in scalable artificial intelligence technology that can help to identify market and business trends and deliver insights through analyzing vast streams of data is studied in this chapter that can eventually help businesses to make fast and smart decisions that will potentially place them ahead of time and their competitors as well through infusing valuable knowledge into competitive intelligence strategies.
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