Engaging medical education scholars with a Twitter conference on professionalism and professional identity formation

Implication Statement The Education Innovation Institute (EII) of Medical College of Georgia, Augusta University, hosted a conference on Twitter about Professional Identity Formation (PIF), #MCGConf2021PIF, on February 25, 2021. The conference featured five presentations by 15 authors from Canada and the U.S. A Twitter conference is a versatile, affordable, and accessible digital option for medical education groups interested in diversifying conference offerings and reaching a broader audience. It was low-cost, organized in six months, and garnered over 9,000 Twitter impressions. Small networks and interest groups can organize Twitter conferences for their constituencies and larger conference organizations can host online mini-conferences to supplement in-person events.

Pricing Multivariate European Equity Option Using Gaussians Mixture Distributions and EVT-Based Copulas

In this article, we present an approach which allows taking into account the effect of extreme values in the modeling of financial asset returns and in the valorisation of associated options. Specifically, the marginal distribution of asset returns is modelled by a mixture of two Gaussian distributions. Moreover, we model the joint dependence structure of the returns using a copula function, the extremal one, which is suitable for our financial data, particularly the extreme values copulas. Applications are made on the Atos and Dassault Systems actions of the CAC40 index. Monte Carlo method is used to compute the values of some equity options such as the call on maximum, the call on minimum, the digital option, and the spreads option with the basket (Atos, Dassault systems) as underlying.

Cyber Security and Cyber Resilience for the Australian E-Health Records

Cybersecurity is a critical consideration for all users of electronic health records (EHR), particularly for patients. With the advent of Healthcare 4.0, which is based on the internet of things (IoT) and sensors, cyber resilience has become a key requirement in ensuring the protection of patient data across devices. Blockchain offers crypto-enforced security, data immutability, and smart contracts-based business logic features to all the users in the network. This study explores how blockchain can be a single digital option that can address both the cybersecurity and cyber resilience needs of EHR. The effective use lens is adopted to analyze how blockchain can be leveraged to meet cybersecurity needs while the novel use lens is adopted to analyze how blockchain can be leveraged to address cyber resilience needs originating from IoT. Based on the analysis, this study proposes two Hyperledger-based security models that contribute to individual privacy and information security needs.