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Describes research into methods for treating solid state gas sensors to create a multisensor system with both multi‐gas analysis and self‐diagnostic capabilities. Outlines the three main categories of solid state gas sensors and then discusses the need for a systematic approach to semiconductor sensor design and the phenomenology of new sensor materials. Concludes that theoretically a self‐diagnostic sensor array device can be conceived for utilisation in gas sensing.

There is increasing concern about the quality of the air breathed by passengers in the cabins of various different forms of transport. In the case of motor vehicles, the concentration of air pollutants in passenger cabins, particularly in the urban environment, is significantly higher (by two to three times) than the nominal value outside the cabin. Aircraft draw in fresh air from outside the cabin. On the ground the same concentration mechanism as motor vehicles applies. At altitude the major problem is the relatively high concentration of ozone. In cruise liners the problem is analogous to large hotels and casinos: efficient air‐conditioning requires re‐circulation of the air and pollutant concentrations build up over time. Strategies are being developed to mitigate these effects, and for optimal operation most require the use of low cost gas sensors for monitoring and/or control. This article describes what can be achieved with mixed‐metal oxide semiconductor gas sensors.

The purpose of this paper is to propose a decision support framework that can be used by decision-makers to identify the most convenient disruption analysis (DA) methods for megaprojects and their stakeholders.

The framework was initially developed by conducting a comprehensive literature review to obtain extensive knowledge about disruption management and megaprojects. Focus group discussion (FGD) sessions with the participation of the construction practitioners were then organized to validate and strengthen the findings of the literature review. Consequently, 17 selection factors were identified and categorized as requirement, ability and outcome. Lastly, the most convenient DA methods for megaprojects were identified by performing integrated fuzzy analytical hierarchy process (AHP) and fuzzy technique for order of preference by similarity to ideal solution (TOPSIS) analysis. Additionally, consistency analysis was also conducted to verify the reliability of the results.

The results revealed that the measured mile method is the most appropriate DA method for megaprojects. In case the measured mile method cannot be adopted due to various technical and contractual reasons, the decision-makers are proposed to consider program analysis, work or trade sampling, earned value analysis and control chart method, respectively. Second, the selection factors such as “Comprehensible analysis procedure,” “Existing knowledge and experience about a particular DA method,” “Ability to resolve greater number of disruption events,” “Ability to resolve complex disruption events,” “Ability to exclude factors that are not under the owner's responsibility” and “General acceptance by practitioners, courts, and arbitration, etc.” were given the top priority by the experts, highlighting the critical aspects of the DA methods.

Disruption claims in megaprojects are very critical for the contractors to compensate for the losses stemming from disruption events. Although the effective use of DA methods maximizes the accuracy and reliability of disruption claims, decision-makers can barely implement these methods adequately since past studies neglect to present extensive knowledge about the most convenient DA methods for megaprojects. Thus, developing a decision support framework for the selection of DA methods, this study is the earliest attempt that examines the mechanisms and inherent differences of DA methods. Additionally, owing to the robustness and versatility of this research approach, the research approach could be replicated also for future studies focusing on other project-based industries since disruption is also a challenging issue for many other industries.

Introduction Optical sensors, and especially fibre optic sensors, offer some significant technical advantages over conventional electronic sensors. These technical advantages have been perceived to be sufficiently significant to have stimulated a large amount of research activity in the UK and elsewhere. Much of the original research has been carried out in universities and polytechnics, but there has also been considerable corporate R&D activity aimed at developing commercial products and systems. The results of much of this corporate work have not been published, except in the form of patents. Patents therefore provide a useful literature which, though of considerable interest to companies, is difficult to analyse and assimilate. For this reason, the DTI Advanced Sensors Technology Transfer Programme commissioned a study of recent optical sensor patents. The aim was to classify and analyse the patents, and to present the findings in a manner which a small or medium size instrumentation company could readily digest.

The purpose of this paper is to propose a disruption claim management (DCM) life cycle and a risk management framework to provide comprehensive guidance to construction practitioners for facilitating effective and efficient DCM.

DCM life cycle was initially developed through a focus group discussion (FGD) with the participation of the construction practitioners who have diverse experiences about DCM. The life cycle is comprised of 6 phases and also includes proper reactions of the owners and contractors. Then, 42 risk factors that can impact the deliverables of DCM were identified through a literature review and an additional FGD session. This was then followed by a Fuzzy Analytical Hierarchy Process (FAHP) which was performed to evaluate the importance of each risk factor in terms of the factor's impact on the success of DCM. Additionally, consistency analysis was performed to further maximize the reliability of the results.

Findings revealed that a proactive and systematic approach should be adopted and DCM practices should be initiated before any disruption event is triggered. Accordingly, the proposed framework recommends DCM practices to be initiated early in the contract development phase since compensation for the disruption might be recovered only to the extent that the contract permits. The contract-related risks were given top priority by the experts so that the results of the fuzzy AHP analysis also verified the significance of the contract development phase. Besides contract-related risks, risks related to insufficient site observation, ignorance of the project team, cognitive bias and conflict of interest were determined as the most significant DCM risks, needing an urgent and sophisticated risk response plan. Lastly, results suggested that “Site observation and record-keeping” is the most formidable phase since the phase's implementation on a continuous basis could create unforeseen organizational challenges such as mismanagement of project records, especially in the dynamic and turbulent environment of the construction projects.

Disruption – which is caused mostly by change – is inevitable in construction projects due to their sophisticated nature. DCM, therefore, becomes crucial to compensate losses of contractors and eliminate or diminish the prolonged dispute resolution process. Existing studies, however, do not provide a comprehensive theoretical basis for the DCM life cycle and DCM life cycle's potential risks so that DCM life cycle's promising benefits can hardly be materialized. Thus, developing a DCM life cycle and associating DCM life cycle with risk management, this study is highly believed to make a promising theoretical contribution to the DCM domain since this is one of the earliest attempts in the literature. Additionally, this research provides construction practitioners with an insight into the effective implementation of DCM practices in construction projects.

An S-curve is an essential project-management tool. However, it is difficult to adjust S-curve to deal with a force majeure event. The present study develops four valuable adjustment approaches, designed to achieve a compromise between the views of the client and contractor. These can be used to control projects after a force majeure event.

The present study develops four adjustment approaches, which can be used to achieve a compromise between the views of the client and those of the contractor when controlling projects after a force majeure. To determine the S-curves during a force majeure event, two approaches can be selected: BCWS (budgeted cost of scheduled work)-base approach, or BCWP (budgeted cost of work performed)-base approach. To determine the rest of S-curves after a force majeure event, two approaches can be considered: maintaining the original curve of the remaining BCWS, or allocating the original curve of the remaining BCWS. Based on the validation of three empirical cases, drawn from a professional project-management website, this study confirms the feasibility of four proposed empirical approaches and a selection procedure for S-curve adjustment.

The S-curve-adjustment approaches presented here can be used to deal with cases that are ahead of, on and behind schedule. Using the proposed approaches and selection procedure, contractors can easily revise S-curves and control projects more effectively. To deal with a force majeure event, such as COVID-19, they are strongly advised to adopt the approaches labeled SA-A1 (to adjust the S-curve based on the extension ratio multiplied by the difference in progress during the force majeure) and SA-B1 (to maintain the original curve of the remaining BCWS) for the A/E and E/F curves, respectively.

The proposed approaches can be used in cases of continuous construction during force majeure events. If construction work is totally suspended during such an event, it will be necessary to fine-tune the proposed approaches.

Previous studies have used case-oriented or mathematical-simulation approaches to forecast S-curves. The present study proposes simple approaches that allow the client and contractor to adjust the S-curve easily after a force majeure event. These approaches can be used to adjust work and project-completion targets within an extended duration. Selecting the right S-curve adjustment approach can help to control the remainder of the project, reducing the possibility of delay claims.

The UK Sensor Group was launched on 5 July after a meeting which reviewed German initiatives and European opportunities.

Increased outsourcing and importation of drugs from different parts of the world to the Latin America and the Caribbean (LAC) region result in the proliferation of substandard and fake medicines, posing a threat to public health. The presence of substandard and fake medications in LAC regions is a source of public health concern and causes an economic burden to the governments in these regions. Whereas testing and detecting medication quality can easily be achieved in developed countries, the situation is different in developing countries such as LAC. This paper aims to examine the public health challenges faced by LAC regarding substandard, fake and counterfeit medicines and how the region can tackle these challenges.

Databases such as Scopus, PubMed, ScienceDirect, Embase, HINARI, EBSCOhost, Google Scholar, unpublished data, conference abstracts and papers from World Health Organization, Pan-American Health Organization and electronic newspapers were searched concerning medicine quality and in LAC.

Drug treatment improves the quality of life while decreasing morbidity and mortality among diseased populations. Absence of or inadequate testing laboratories, old and ineffective legislature, lack of enforcement or willpower and lack of effective surveillance are challenges in LAC for the proliferation of substandard and falsified medicines (SFMs).

The most significant limitation of this study was the need for the reviewers to have used articles written in other languages besides English. The LAC region has a large population in non-English-speaking countries, and many articles are written using local languages. Hence, excluding those articles is a limitation worthy of note in this review. The articles accessed needed to provide adequate information on SFM markets and illegal pharmacies or hospitals but did not. Future reviews may focus on providing illegal substandard and falsified medicines markets in the region and how they can be minimized or eliminated.

This review highlights the challenges faced by LAC countries regarding substandard, fake and counterfeit medicines. The sources, prevalence and consequences of substandard and falsified drugs were identified to suggest the measures needed to curb the infiltration of low-quality medicines in LAC.

Peter McGeehin of Compton Consultants explains the trends taking place.

Optical sensor companies in the UK are getting together to organise their own research and development.