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UEL Research Conference: Session 10 – Mortality & Disaster

The Development & Validation of the Multidimensional Mortality Awareness Measure (MMAM)
Oona Levasseur & Mark McDermott, School of Psychology

Mortality awareness (MA) arguably influences individuals’ life choices and behaviours, however it is often avoided because of the anxiety it creates (Becker, 1973). As previous measures have not addressed the array of dimensions encompassed by MA, the purpose of this study was to develop a multidimensional tool which would be comprehensive in its scope. It is argued that the MMAM provides the opportunity to examine a relatively under-explored and elaborated variable in psychology. Download the full abstract.

Critical National Infrastructure Failure and Mass Population Response: A Comparative Analysis
John Preston, Charlotte Chadderton, Kaori Kitagawa, Cass School of Education and Communities‌‌‌‌‌‌‌‌‌‌‌‌‌‌‌

The ‘Critical National Infrastructure Failure and Mass Population Response’ project examines how governments define ‘critical national infrastructure (CNI)’, how they perceive the population respond in case of infrastructure failure, and how they prepare the population for it. ‘CNI’ generally refers to public facilities such as water and sewage, roads and railways. The significant comparative question of the research is from what ‘threat’ or ‘perceived threat’ governments intend to protect critical infrastructure. Download the full abstract

Using the Un-decimated Wavelet Transform for Strong-Motion Seismic Analysis and De-noising
Andrew Chanerley, School of Architecture, Computing and Engineering

Triaxial seismic instruments have been used for decades in order to measure the acceleration of ground motion during strong-motion seismic events. These have their limitations because they are only 3-degree-of-freedom instruments and do not specifically record pitch, roll and yaw.

This novel approach to this decades-old  problem uses the wavelet transform and locates and removes  the baseline error as a Dirac-like transient along the three axes and moreover recovers the low-frequency pulse-like ‘fling’ and enables double-time integration to recover the velocity pulse as well as the displacement fling-step. The method uses the un-decimated wavelet transform, which decreases the bandwidth of the seismic signal and concurrently de-noises the signal using a threshold scheme, which preserves  the low-frequency  and higher-frequency seismic signal. Download the full abstract

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