Track topics on Twitter Track topics that are important to you
It is becoming apparent that changes in climatic and demographic distributions are increasing the frequency and social impact of many 'natural hazards', including wildfires (or 'bushfires' in Australia). Across many national contexts, the governmental agencies legally responsible for 'managing' such hazards been called upon to provide greater foresight into the potential consequences, occurrence and behaviour of these dynamic phenomena. These conditions, of growing occurrence and expectation, have given rise to new anticipatory regimes, tools, practitioners and expertise tasked with revealing near and distant fiery futures. Drawing on interviews with Fire Behaviour Analysts from across the fire-prone continent of Australia, this article examines how their expertise has emerged and become institutionalized, exploring how its embedding in bushfire management agencies reveals cultural boundaries and tensions. This article provides important insight into the human and nonhuman infrastructures enrolled in predicting and managing landscape fires, foregrounding the wider social and political implications of these infrastructures and how their 'fuzzy boundaries' are negotiated by practitioners. Such empirical studies of expertise in practice are also, we suggest, necessary to the continued refinement of existing critiques of expertise as an individual capacity, derived from science and serving established social orders.
This article was published in the following journal.
Name: Social studies of science
Despite advances in the assessment of technical skills in surgery, a clear understanding of the composites of technical expertise is lacking. Surgical simulation allows for the quantitation of psychom...
This paper deals with the fuzzy tracking control problem of a class of uncertain linear dynamical systems. In the uncertain linear dynamical system the uncertainty is considered as fuzzy numbers. This...
The simulation fellowship training community has commenced efforts toward the development of core curricular elements for healthcare simulation fellowships but has not deployed the same effort to crea...
In this study, the direct wavefront gradient algorithm is used to calculate the control voltage of the deflection mirror. Considering the control voltage as the input of the fuzzy controller, the fuzz...
In this study, multi-criteria assessment technique is used to predict the methane generation from large municipal solid waste landfills in Ontario, Canada. Although a number of properties determine th...
The purpose of this study is to evaluate the impact of the optimal and late initiation of dialysis on the mortality and quality of life in advanced chronic kidney disease patients by the D...
High fidelity simulation provide educational skills but the simulation of critical events could eventually provide anxiety among participants. The anxiety could raise before the simulatio...
The purpose of this pilot study is to evaluate the effectiveness of EdemaWear® fuzzy wale longitudinal compression stockings on reducing lower extremity edema in hospitalized adult patien...
Objective Sedation is a depression of consciousness varies between anxiolysis and general anesthesia. It is used to facilitate diagnostic tests and minor surgeries. Respiratory complicatio...
Rapid technological advances in the last 20 years have led to the exponential adoption of simulation-based learning in nursing education.
Approximate, quantitative reasoning that is concerned with the linguistic ambiguity which exists in natural or synthetic language. At its core are variables such as good, bad, and young as well as modifiers such as more, less, and very. These ordinary terms represent fuzzy sets in a particular problem. Fuzzy logic plays a key role in many medical expert systems.
A computer simulation technique that is used to model the interaction between two molecules. Typically the docking simulation measures the interactions of a small molecule or ligand with a part of a larger molecule such as a protein.
A computer simulation developed to study the motion of molecules over a period of time.
Predicting the time of OVULATION can be achieved by measuring the preovulatory elevation of ESTRADIOL; LUTEINIZING HORMONE or other hormones in BLOOD or URINE. Accuracy of ovulation prediction depends on the completeness of the hormone profiles, and the ability to determine the preovulatory LH peak.
A controlled learning environment that closely represents reality.