An investigation into the effect of causal beliefs about depression on attitudes and clinical judgements

Biological explanations of depression have been found to increase professional perceptions of the effectiveness of medical treatments and reduce the perceptions of the effectiveness of psychological therapy. Studies in lay populations have shown that biological explanations reduce perceptions of self-efficacy and control over depression symptoms. There is a lack of research examining the impact of causal models on clinicians’ attitudes. The current study aimed to explore whether clinicians’ causal models of a client’s depression can be biased by aetiological labelling and, in turn, whether clinicians’ causal models impact clinical judgements and attitudes. An experimental design was utilised, with one independent variable (labelling of the client’s depression) with three levels (biological, psychosocial and neutral). Outcomes measured causal beliefs, treatment effectiveness, control, clinical attitudes and perceived stigma in relation to a client vignette. Observational data were analysed to explore the effects of clinicians’ primary causal models on the outcome variables. Over 200 trainee clinical psychologists, across England, Scotland and Wales, took part in an online survey, presented using surveymonkey®. Where appropriate data were analysed using ANOVA. There was a small effect of the manipulation; labelling the depression as biological increased biological causal attributions and increased perceptions of the effectiveness of medical treatments. The exploratory analysis demonstrated substantial effects of strongly endorsing biological causal beliefs on judgements of medical treatments and client engagement. The results suggest that clinicians’ causal models of a client’s depression may bias clinical judgements. These findings are preliminary and further research is needed

Contingent plan structures for spacecraft

Most current AI planners build partially ordered plan structures which delay decisions on action ordering. Such structures cannot easily represent contingent actions. A representation which can is presented. The representation has some other useful features: it provides a good account of the causal structure of a plan, can be used to describe disjunctive actions, and it offers a planner the opportunity of even less commitment than the classical partial order on actions. The use of this representation is demonstrated in an on-board spacecraft activity sequencing problem. Contingent plan execution in a spacecraft context highlights the requirements for a fully disjunctive representation, since communication delays often prohibit extensive ground-based accounting for remotely sensed information and replanning on execution failure

Professionalism: What is it and are we teaching for it?

With rising accountability standards and the need for content specialists within education, the qualifications of mathematics teachers have become increasingly scrutinized. For over three decades, within the parameters of educational reform, the need for the professionalization of teaching has reoccurred (Carnegie Task Force, 1986). When examining the nature of teacher professionalism, no concise definition within the educational community exists (Noddings, 1992). The purpose of this study was to take characteristics defined by the medical and law fields and use them to develop a definition of professionalism within mathematics education. Once a clear set of characteristics was identified, the study then looked to reveal the nature of which those characteristics were instilled within mathematics teacher education programs at higher education institutions. Current mathematics teachers and mathematics teacher educators were surveyed and the set of characteristics rated as to their importance in defining professionalism with mathematics education. A second part to the survey asked mathematics teacher to rate the extent they felt prepared within those same characteristics. Mathematics teacher educators were asked to reflect upon their curriculum with respect to the same set of characteristics. The results were compared with similarities and differences among the two groups presented. The results from this study can be used by higher educational institutions in shaping current and future teachers’ set of professional characteristics. Current teachers can examine the results of this study with the intent to evaluate themselves as professionals

Evaluation of a FTIR Emission Measurement System for Legislated Emissions Using a SI Car

A series of chassis dynamometer test trials were conducted to assess the performance of a Fourier Transform Infra Red (FTIR) system developed for on-road vehicle exhaust emissions measurements. Trials used a EURO 1 emission compliant SI passenger car which, alongside the FTIR, was instrumented to allow the routine logging of engine speed, road speed, throttle position, air-fuel ratio, air flow and fuel flow in addition to engine, exhaust and catalyst temperatures. The chassis dynamometer facility incorporated an ‘industry standard’ measurement system comprising MEXA7400 gas analyzer and CVS bag sampling which was the ‘benchmark’ for the evaluation of FTIR legislated gas-phase emissions (CO, NOx, THC and CO2) measurements. Initial steady state measurements demonstrated strong correlations for CO, NOx and THC (R2 of 0.99, 0.97 0.99, respectively) and a good correlation for CO2 (R2 = 0.92). Subsequent transient and total mass emissions measurements from replicate samplings of four different driving cycles (two standard cycles, FTP75 and NEDC, and two novel cycles based on real-world data collected in Leeds) also show good response of FTIR and satisfied agreement between the FTIR and CVS bag sampling measurements. In general, the trial results demonstrate that the on-board FTIR emission measurement system provides reliable in-journey emissions data

Realizability of the Lorentzian (n,1)-Simplex

In a previous article [JHEP 1111 (2011) 072; arXiv:1108.4965] we have developed a Lorentzian version of the Quantum Regge Calculus in which the significant differences between simplices in Lorentzian signature and Euclidean signature are crucial. In this article we extend a central result used in the previous article, regarding the realizability of Lorentzian triangles, to arbitrary dimension. This technical step will be crucial for developing the Lorentzian model in the case of most physical interest: 3+1 dimensions. We first state (and derive in an appendix) the realizability conditions on the edge-lengths of a Lorentzian n-simplex in total dimension n=d+1, where d is the number of space-like dimensions. We then show that in any dimension there is a certain type of simplex which has all of its time-like edge lengths completely unconstrained by any sort of triangle inequality. This result is the d+1 dimensional analogue of the 1+1 dimensional case of the Lorentzian triangle.Comment: V1: 15 pages, 2 figures. V2: Minor clarifications added to Introduction and Discussion sections. 1 reference updated. This version accepted for publication in JHEP. V3: minor updates and clarifications, this version closely corresponds to the version published in JHE

Real-world comparison of probe vehicle emissions and fuel consumption using diesel and 5 % biodiesel (B5) blend.

An instrumented EURO I Ford Mondeo was used to perform a real-world comparison of vehicle exhaust (carbon dioxide, carbon monoxide, hydrocarbons and oxides of nitrogen) emissions and fuel consumption for diesel and 5% biodiesel in diesel blend (B5) fuels. Data were collected on multiple replicates of three standardised on-road journeys: (1) A simple urban route; (2) A combined urban/inter-urban route; and, (3) An urban route subject to significant traffic management. At the total journey measurement level, data collected here indicate that replacing diesel with a B5 substitute could result in significant increases in both NOx emissions (8-13%) and fuel consumption (7-8%). However, statistical analysis of probe vehicle data demonstrated the limitations of comparisons based on such total journey measurements, i.e., methods analogous to those used in conventional dynamometer/drive cycle fuel comparison studies. Here, methods based on the comparison of speed/acceleration emissions and fuel consumption maps are presented. Significant variations across the speed/acceleration surface indicated that direct emission and fuel consumption impacts were highly dependent on the journey/drive cycle employed. The emission and fuel consumption maps were used both as descriptive tools to characterise impacts and predictive tools to estimate journey-specific emission and fuel consumption effects

Impact of Driving Cycles on Greenhouse Gas (GHG) Emissions, Global Warming Potential (GWP) and Fuel Economy for SI Car Real World Driving

The transport sector is one of the major contributors to greenhouse gas emissions. This study investigated three greenhouse gases emitted from road transport: CO2, N2O and CH4 emissions as a function of engine warm up and driving cycles. Five different urban driving cycles were developed and used including free flow driving and congested driving. An in-vehicle FTIR (Fourier Transform Inferred) emission measurement system was installed on a EURO2 emission compliant SI (Spark Ignition) car for emissions measurement at a rate of 0.5 HZ under real world urban driving conditions. This emission measurement system was calibrated on a standard CVS (Constant Volume Sampling) measurement system and showed excellent agreement on CO2 measurement with CVS results. The N2O and CH4 measurement was calibrated using calibration gas in lab. A MAX710 real time in-vehicle fuel consumption measurement system was installed in the test vehicle and real time fuel consumption was then obtained. The temperatures across the TWC (Three Way Catalyst) and engine out exhaust gas lambda were measured. The GHG (greenhouse gas) mass emissions and consequent GWP (Global Warming Potential) for different urban diving conditions were analyzed and presented. The results provided a better understanding of traffic related greenhouse gas emission profile in urban area and will contribute to the control of climate change

The Relationship Between Congestion Control and the Turing Machine

Unified large-scale epistemologies have led to many unfortunate advances, including cache coherence and 128 bit architectures. Given the trends in robust symmetries, cyberneticists shockingly note the refinement of e-commerce, demonstrates the exten- sive importance of artificial intelligence [1]. We understand how systems can be applied to the emula- tion of A* search. While it is entirely an essential purpose, it is derived from known results