General gaussian priors for improved generalisation

We explore the dependence of performance measures, such as the generalization error and generalization consistency, on the structure and the parameterization of the prior on `rules', instanced here by the noisy linear perceptron. Using a statistical mechanics framework, we show how one may assign values to the parameters of a model for a `rule' on the basis of data instancing the rule. Information about the data, such as input distribution, noise distribution and other `rule' characteristics may be embedded in the form of general gaussian priors for improving net performance. We examine explicitly two types of general gaussian priors which are useful in some simple cases. We calculate the optimal values for the parameters of these priors and show their effect in modifying the most probable, MAP, values for the rules.

Sales manager and sales team determinants of salesperson ethical behaviour

Purpose – The purpose of this paper is to develop and test a model of the role managers and peers play in shaping salespeople's ethical behaviour. The model specifies that sales manager personal moral philosophies, whether sales managers themselves are rewarded according to the outcomes or behaviours of their salespeople, sales team job security, intra-team cooperation, and sales team tactical performance all influence sales team ethical standards. In turn, ethical standards influence the probability that sales team members will behave (un)ethically when faced with ethical dilemmas. Design/methodology/approach – The model is tested on a sample of 154 Finnish sales managers. Data were collected via mail survey. Analysis was undertaken using structural equation modelling. Findings – Ethical standards appear to be shaped by several factors; behaviour-based management controls increase ethical standards, relativist managers tend to manage less ethically-minded sales teams, job insecurity impedes the development of ethical standards, and sales teams' cooperation activity increases ethical standards. Sales teams are less likely to engage in unethical behaviour when the teams have strong ethical standards. Research limitations/implications – Cross-sectional data limits generalisability; single country data may limit the ability to generalise to different sales environments; additional measure development is needed; identification of additional antecedent factors would be beneficial. Practical implications – Sales managers should consciously develop high ethical standards in sales teams if they wish to reduce unethical behaviour. Ethical standards can be improved if sales managers change their own outward behaviour (exhibit a less relativistic ethical philosophy), foster cooperation amongst salespeople, and develop perceptions of job security. How sales managers are rewarded may shape how they approach the management of ethical behaviour in their sales teams. Originality/value – This paper appears to be the first to simultaneously examine both sales manager-specific and sales team-specific antecedents to sales team ethical standards and behaviours. As such, it provides an important base for research in this critical area.

Measurement of key compositional parameters in two species of energy grass by Fourier transform infrared spectroscopy

Two energy grass species, switch grass, a North American tuft grass, and reed canary grass, a European native, are likely to be important sources of biomass in Western Europe for the production of biorenewable energy. Matching chemical composition to conversion efficiency is a primary goal for improvement programmes and for determining the quality of biomass feed-stocks prior to use and there is a need for methods which allow cost effective characterisation of chemical composition at high rates of sample through-put. In this paper we demonstrate that nitrogen content and alkali index, parameters greatly influencing thermal conversion efficiency, can be accurately predicted in dried samples of these species grown under a range of agronomic conditions by partial least square regression of Fourier transform infrared spectra (R2 values for plots of predicted vs. measured values of 0.938 and 0.937, respectively). We also discuss the prediction of carbon and ash content in these samples and the application of infrared based predictive methods for the breeding improvement of energy grasses.

Chronic preoperative pain and psychological robustness predict acute postoperative pain outcomes after surgery for breast cancer

Background - Few epidemiological studies have prospectively investigated preoperative and surgical risk factors for acute postoperative pain after surgery for breast cancer. We investigated demographic, psychological, pain-related and surgical risk factors in women undergoing resectional surgery for breast cancer. Methods - Primary outcomes were pain severity, at rest (PAR) and movement-evoked pain (MEP), in the first postoperative week. Results - In 338 women undergoing surgery, those with chronic preoperative pain were three times more likely to report moderate to severe MEP after breast cancer surgery (OR 3.18, 95% CI 1.45–6.99). Increased psychological ‘robustness’, a composite variable representing positive affect and dispositional optimism, was associated with lower intensity acute postoperative PAR (OR 0.63, 95% CI 0.48–0.82) and MEP (OR 0.71, 95% CI 0.54–0.93). Sentinel lymph node biopsy (SLNB) and intraoperative nerve division were associated with reduced postoperative pain. No relationship was found between preoperative neuropathic pain and acute pain outcomes; altered sensations and numbness postoperatively were more common after axillary sample or clearance compared with SLNB. Conclusion - Chronic preoperative pain, axillary surgery and psychological robustness significantly predicted acute pain outcomes after surgery for breast cancer. Preoperative identification and targeted intervention of subgroups at risk could enhance the recovery trajectory in cancer survivors.

Increasing the fracture toughness of silicon by ion implantation

Previous studies have shown that moderate doses of radiation can lead to increased fracture toughness in ceramics. An experimental investigation was conducted to determine the effects of ion implantation on fracture toughness in silicon. Specimens implanted with Ne showed increased fracture toughness, over the entire range of implantations tested. Using ions of various energies to better distribute implantation damage further increased the fracture toughness even though the region of amorphous damage was slightly decreased. The implantation damage accumulated in a predictable manner so that fracture toughness could be optimized.