Enabling cyber resilient shipping through maritime security operation center adoption: A human factors perspective.

The increased adoption of digital systems in the maritime domain has led to concerns about cyber resilience, especially in the wake of increasingly disruptive cyber-attacks. This has seen vessel operators increasingly adopt Maritime Security Operation Centers (M-SOCs), an action in line with one of the cyber resilience engineering techniques known as adaptive response, whose purpose is to optimize the ability to respond promptly to attacks. This research sought to investigate the domain-specific human factors that influence the adaptive response capabilities of M-SOC analysts to vessel cyber threats.

Using Natural Language Processing to Predict Risk in Electronic Health Records.

Clinical narratives recording behaviours and emotions of patients are available from EHRs in a forensic psychiatric centre located in Tasmania. This rich data has not been used in risk prediction. Prior work demonstrates natural language processing can be used to identify patient symptoms in these free-text records and can then be used to predict risk.

Bridging the Gap: Enhancing Maritime Vessel Cyber Resilience through Security Operation Centers.

Increasingly disruptive cyber-attacks in the maritime domain have led to more efforts being focused on enhancing cyber resilience. From a regulatory perspective, there is a requirement that maritime stakeholders implement measures that would enable the timely detection of cyber events, leading to the adoption of Maritime Security Operation Centers (M-SOCs). At the same time, Remote Operation Centers (ROCs) are also being discussed to enable increased adoption of highly automated and autonomous technologies, which could further impact the attack surface of vessels.

Risk prediction using natural language processing of electronic mental health records in an inpatient forensic psychiatry setting.

Objective: Instruments rating risk of harm to self and others are widely used in inpatient forensic psychiatry settings. A potential alternate or supplementary means of risk prediction is from the automated analysis of case notes in Electronic Health Records (EHRs) using Natural Language Processing (NLP). This exploratory study rated presence or absence and frequency of words in a forensic EHR dataset, comparing four reference dictionaries.

Online computer-aided vicarious exposure for OCD symptoms: A pilot study.

Background And Objectives: Computer-aided vicarious exposure (CAVE) for obsessive-compulsive disorder (OCD) is an intervention in which participants learn and rehearse exposure with response prevention (ERP) by directing a character around a virtual world. This study aimed to pilot an online CAVE program for OCD in a community sample with high OCD symptomatology.

Methods: Participants (n = 78) were allocated to an intervention group (three 45-min weekly CAVE sessions) or to a waitlist control group.

Internet delivered images for exposure in specific phobia, design considerations for self-directed therapy.

Exposure to phobic stimuli in subjects with specific phobia typically results in increased anxiety, ranging from mild to severe, followed by gradual habituation. The Internet is a candidate medium for the delivery of phobic stimuli to phobic subjects, such as pictures, video clips or computer animations. Delivery of such images in home settings warrants careful attention to the range and time course of anxiety responses elicited, and to tailoring of progression through hierarchies of images.