INFERRING CAUSAL DIRECTION FROM MULTI-DIMENSIONAL CAUSAL NETWORKS FOR ASSESSING HARMFUL FACTORS IN SECURITY ANALYSIS

Inferring Causal Direction From Multi-Dimensional Causal Networks for Assessing Harmful Factors in Security Analysis

In many scenarios of security analysis, Bayesian methods are often used for assessing harmful factors like attacks, as Bayesian causal model can estimate or predict the effect from the observed factors.To distinguish which ones are direct or significant causal (harmful) factors to the target systems, we often need to calculate a Decor (local) causa

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Implementation of Faculty Learning Communities to Support Medical Education Scholarship in a Regional Campus System

Introduction: Medical educators need targeted faculty development programs to give them the skills necessary to produce educational scholarship for promotion and tenure.At the Indiana University School of Medicine, which encompasses a large regional campus system, we OVEN SEAL implemented Faculty Learning Communities (FLCs) to provide a platform fo

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"Amodioaren martirra" (1900-1901), foiletoi-nobela ezezaguna

In this article we present an old Basque newspaper serial.This serial was unknown to this day, despite having been published in 1900-1901, Stands and it constitutes the only such work in Basque.We focus on four aspects of this newspaper serial about an eternal triangle that mixes history and fiction: the author and the original novel, its translati

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