Effects of age and noise on tympanal displacement in the Desert Locust.

Insect cuticle is an evolutionary-malleable exoskeleton that has specialised for various functions. Insects that detect the pressure component of sound bear specialised sound-capturing tympani evolved from cuticular thinning. Whilst the outer layer of insect cuticle is composed of non-living chitin, its mechanical properties change during development and aging.

An interview analysis of coordination behaviours in Out-of-Hours secondary care.

This paper seeks to elicit and structure the factors that shape the execution and, in particular, the coordination of work in Out of Hours care. Evenings and weekends in UK hospitals are managed by specific Out of Hours (OoH) care arrangements, and associated technology. Managing care within the constraints of staff availability and demands is a key concern for both patient care and staff wellbeing, yet has received little attention from healthcare human factors.

Model-Based Autonomous Navigation with Moment of Inertia Estimation for Unmanned Aerial Vehicles.

The dominant navigation system for low-cost, mass-market Unmanned Aerial Vehicles (UAVs) is based on an Inertial Navigation System (INS) coupled with a Global Navigation Satellite System (GNSS). However, problems tend to arise during periods of GNSS outage where the navigation solution degrades rapidly. Therefore, this paper details a model-based integration approach for fixed wing UAVs, using the Vehicle Dynamics Model (VDM) as the main process model aided by low-cost Micro-Electro-Mechanical Systems (MEMS) inertial sensors and GNSS measurements with moment of inertia calibration using an Unscented Kalman Filter (UKF).

The Impact of an Electronic Patient Bedside Observation and Handover System on Clinical Practice: Mixed-Methods Evaluation.

Background: Patient safety literature has long reported the need for early recognition of deteriorating patients. Early warning scores (EWSs) are commonly implemented as "track and trigger," or rapid response systems for monitoring and early recognition of acute patient deterioration. This study presents a human factors evaluation of a hospital-wide transformation in practice, engendered by the deployment of an innovative electronic observations (eObs) and handover system.

Out of hours workload management: Bayesian inference for decision support in secondary care.

Objective: In this paper, we aim to evaluate the use of electronic technologies in out of hours (OoH) task-management for assisting the design of effective support systems in health care; targeting local facilities, wards or specific working groups. In addition, we seek to draw and validate conclusions with relevance to a frequently revised service, subject to increasing pressures.

Methods And Material: We have analysed 4 years of digitised demand-data extracted from a recently deployed electronic task-management system, within the Hospital at Night setting in two jointly coordinated hospitals in the United Kingdom.

NightShift simulation to train newly qualified doctors in non-technical skills: a feasibility study.

There is growing evidence of greater rates of morbidity and mortality in hospitals during out-of-hours shifts, which appears to be exacerbated during the period in which newly qualified doctors commence work. In order to combat this issue, an online simulation of a night shift was developed and trialled in order to improve the non-technical skills of newly qualified doctors and, ultimately, improve clinical outcomes. A randomised feasibility trial of the electronic training simulation was performed with medical students (n=30) at the end of their training and in the initial weeks of working at a large teaching hospital.

PRO: confronting resistance to rule-based medicine is essential to improving outcomes.

The past 20 years have seen two great changes in the practice of medicine: the widespread adoption of evidence-based medicine, and the increasing challenge of managing complex multimorbid patients. Both these developments have resulted in clinical rules and protocols becoming ever more abundant and increasingly critical to delivering safe and effective patient care. These evidence-based clinical rules perform at least as well as expert opinion, and the increasing volume and quality of available clinical data suggests their performance could continue to improve.