Nerve repair: a conducting-polymer platform with biodegradable fibers for stimulation and guidance of axonal growth (adv. Mater. 43/2009)

Effective functional innervation of medical bionic devices, as well as re-innervation of target tissue in nerve and spinal cord injuries, requires a platform that can stimulate and orientate neural growth. Gordon Wallace and co-workers report on p. 4393 that conducting and nonconducting biodegradable polymers show excellent potential as suitable hybrid substrata for neural regeneration and may form the basis of electrically active conduits designed to accelerate nerve repair.

Generating heat from conducting polypyrrole-coated PET fabrics

Heating effects in polypyrrole-coated polyethyleneterephthalate (PET)-Lycra® fabrics were studied. Chemical synthesis was employed to coat the PET fabrics by polypyrrole using ferric chloride as oxidant and antraquinone- 2-sulfonic acid (AQSA) and naphthalene sulfonic acid (NSA) as dopants. The coated fabrics exhibited reasonable electrical stability, possessed high electrical conductivity, and were effective in heat generation. Surface resistance of polypyrrole-coated fabrics ranged from approximately 150 to 500 /square. Different connections between conductive fabrics and the power source were examined. When subjected to a constant voltage of 24 V, the current transmitted through the fabric decreased about 10% in 72 h. An increase in resistance of conductive fabrics subjected to constant voltage was observed

Using a knowledge management evaluation framework for improving an ERP system - a Hong Kong construction industry case study

Organisations need to rely on leadership, information support and human capital in order to ensure a knowledge advantage over their competitors. Knowledge management (KM) provides organisations with sustainable competitive advantage, because it becomes extremely difficult for an organisation to cut expenditure and increase revenue by simply reengineering its business model. Project delivery and success has been traditionally viewed and measured as management of a three-legged stool, with the legs defined as cost, schedule and quality. However, KM can be linked to success by organisations becoming more effective as well as being more efficient.

This paper uses a KM framework, the Knowledge Advantage (K-Adv), developed initially for use by construction organisations. It assesses the impact of leadership and its supporting information communication technology infrastructure on the ability of people (by effectively creating, sharing, disseminating and using knowledge) to facilitate sustainable competitive advantage.

A case study that is presented is based upon the experience of a leading construction company using an Enterprise Resources Planning (ERP) system to demonstrate the effectiveness of KM from a cost management business unit perspective. Results are evaluated using a capability maturity model (CMM) - that forms the core of the K-Adv tool - to help improve processes that meet the needs of the organisation operating in a highly dynamic business environment. The case study is part of a broader doctoral research project that uses action learning to facilitate and measure ERP improvement.

Using a KM framework to evaluate an ERP system implementation

Purpose – Competitive advantage can be gained in several ways including gaining a knowledge advantage (K-Adv). This paper sets out to report on the first stage of broad study to assess the effectiveness of implementing an enterprise resource planning system (ERP) from a knowledge management (KM) perspective.

Design/methodology/approach – The study used a survey of a small but representative group to gain feedback in their experience of using the ERP system. Results are evaluated using a KM framework, the knowledge advantage (K-Adv) capability maturity model (CMM) tool that was initially developed for use by construction organisations to assess the impact of leadership and its supporting ICT infrastructure on the ability of people (by effectively creating, sharing, disseminating and using knowledge) operating in a highly dynamic business environment.

Findings – The K-Adv framework analysis for the study indicates that the ERP system was seen as a useful tool for cost management and that its deployment effectiveness is mainly dependent on human-to-human knowledge transfer about how to make the ERP system work. Also, how leaders in organisations facilitate and support people is a critical enabler of the ERP system deployment. The K-Adv CMM tool was useful in making sense of the degree of organisational maturity from a KM perspective.

Practical implications – The findings first highlight the usefulness of focusing on people-support in using the ERP adoption in this organisation's context and, second, they illustrate how a CMM tool like the K-Adv can be used to evaluate KM practices.

Originality/value – The likely effectiveness of use of an ERP is well-known. However, the originality of the paper is twofold. First, it explains effective ERP application drivers and inhibitors from a KM perspective. Second, it tests and adapts a tool that helps evaluate KM effectiveness and assists better understanding of how these practices are enacted from a cost management business unit perspective.

Adefovir dipivoxil and pegylated interferon alpha for the treatment of chronic hepatitis B: an updated systematic review and economic evaluation

To update and extend a 2006 report on the clinical effectiveness and cost-effectiveness of adefovir dipivoxil (ADV) and pegylated interferon alpha (PEG-alpha) for the treatment of chronic hepatitis B (CHB). Thirteen bibliographic databases were searched including MEDLINE, EMBASE and the Cochrane Library. Searches were run from the beginning of 2005 to September 2007. For the clinical effectiveness review, randomised controlled trials (RCTs) comparing ADV, PEG-alpha-2a and PEG-alpha-2b with currently licensed treatments for CHB, including non-pegylated interferon alpha (IFN-alpha) and lamivudine (LAM), were included. Outcomes included biochemical, histological and virological response to treatment, drug resistance and adverse effects. A systematic review of economic evaluations of antiviral treatments for CHB was conducted. The economic Markov model used in the 2006 report was updated in terms of utility values, discount rates and costs. `

The correlation between stacking fault energy and the work hardening behaviour of high-mn twinning induced plasticity steel tested at various temperatures

High-Mn Twinning Induced Plasticity (TWIP) steels have superior mechanical properties, which make them promising materials in automotive industry to improve the passenger safety and the fuel consumption. The TWIP steels are characterized by high work hardening rates due to continuous mechanical twin formation during the deformation. Mechanical twinning is a unique deformation mode, which is highly governed by the stacking fault energy (SFE). The composition of steel alloy was Fe-18Mn-0.6C-1Al (wt.%) with SFE of about 25-30 mJ/m2 at room temperature. The SFE ensures the mechanical twinning to be the main deformation mechanism at room temperature. The microstructure, mechanical properties, work hardening behaviour and SFE of the steel was studied at the temperature range of ambient ≤T[°C]≤ 400°C. The mechanical properties were determined using Instron tensile testing machine with 30kN load cell and strain rate of 10-3s-1 and the work hardening behaviour curves were generated using true stress and true strain data. The microstructure after deformation at different temperatures was examined using Zeiss Supra 55VP SEM. It was found that an increase in the deformation temperature raised the SFE resulting in the deterioration of the mechanical twinning that led to decrease not only in the strength but also in the total strain of the steel. A correlation between the temperature, the SFE, the mechanical twinning, the mechanical properties and the work hardening rate was also found. © (2014) Trans Tech Publications, Switzerland.

A note on multivariate non-normal process capability analysis using "mvtnorm" library in R

In this note we examine using Genzbretz and Miwa algorithms to improve estimation of proposition of non-conformance in multivariate normal distributions. This estimation is required in the procedure outlined in Abbasi and Niaki (Int J Adv Manuf Technol 50(5-8):823-830, 2010) to determine process capability index of multivariate non-normal processes.