Academic literature on the topic 'Ludlow Industries UK Limited'

Abstract Objectives The processing of seafood (fish and shellfish) for human consumption can lead to health consequences, including occupational asthma (OA). Several non-UK studies have reported both respiratory outcomes and airborne levels of major allergens in seafood processing. However, there is a paucity of such evidence in the UK land-based seafood processing sector, which employs some 20 000 workers. Methods University of Manchester’s Surveillance of Work-related and Occupational Respiratory Disease (SWORD) reporting system has been interrogated over the period 1992–2017 to define the incidence rate of OA cases that can be ascribed to the UK land-based processing sector, and the seafood species implicated. Airborne allergen monitoring data undertaken at Health and Safety Executive’s laboratory from 2003 to 2019 have also been collated. Results The estimated annual OA incidence rate in seafood processors was 70 [95% confidence intervals (CIs) 48.9, 91.1] per 100 000 workers compared with 2.9 (95% CIs 2.8, 3.1) in ‘all other industries’. The annual calculated percentage trend in OA (1992–2017) was −8.1% (95% CIs −15.9, 0.4) in seafood processing showing a similar trend to ‘all other industries’ (mean −7.0%; 95% CIs −7.8, −6.1). Prawns and salmon/trout were notably implicated by SWORD as causative species related to OA. There is a general paucity of available UK airborne allergen monitoring data, particularly concerning processing salmon or trout. Available airborne monitoring for salmon parvalbumin in seven processors ranged between the limit of detection and 816 ng m−3 (n = 64). Available air monitoring levels of the major shellfish allergen (tropomyosin) during processing of crabs and prawns ranged between 1 and 101 600 ng m−3 (n = 280), highlighting that high levels of exposure can occur. Conclusions These data show an excess incidence of OA in the UK seafood processing industry during 1992–2017, with limited airborne monitoring data for the processing of prawn, crab, and salmon suggesting that significant exposure to major seafood allergens can occur in this industry. Further investigation of current levels of respiratory ill-health and the sources of allergen exposure are warranted.

The ongoing Covid-19 crisis and recession represent one of the biggest shocks to the UK manufacturing ecosystem yet, and comes at a time when the ecosystem was already in a worrying situation after decades of deindustrialisation, a decade of austerity and an impending ‘Brexit’. The effects of this shock will also be unevenly felt due to the geography of the UK manufacturing ecosystem, amplifying the need for a successful response to ensure that places are not left (further) behind. This paper assesses the pre-Covid-19 ecosystem to ascertain the areas and industries likely to be particularly impacted by the crisis, and to understand existing issues. These issues are important to consider due to the implications for choosing strategies moving forward, for which two are appraised here. First, the reshoring of supply chains is considered in light of recent government comments, but difficulties in implementation may arise due to the highly fragmented nature of UK policy frameworks. Second, an acceleration of the ‘grand challenges’ approach is likely but limited by issues of connectivity in the ecosystem and small and medium-sized firm disengagement. We suggest that any strategy moving forward must strike a balance between such strategies

Industrial processes are associated with high amounts of energy consumed and greenhouse gases emitted, stressing the urgent need for low-carbon sectoral transitions. This research reviews the energy-intensive iron and steel, cement and chemicals industries of Germany and the United Kingdom, two major emitting countries with significant activity, yet with different recent orientation. Our socio-technical analysis, based on the Sectoral Innovation Systems and the Systems Failure framework, aims to capture existing and potential drivers of or barriers to diffusion of sustainable industrial technologies and extract implications for policy. Results indicate that actor structures and inconsistent policies have limited low-carbon innovation. A critical factor for the successful decarbonisation of German industry lies in overcoming lobbying and resistance to technological innovation caused by strong networks. By contrast, a key to UK industrial decarbonisation is to drive innovation and investment in the context of an industry in decline and in light of Brexit-related uncertainty.

Purpose In recent years, circular economy (CE) has come to prominence as an alternative to the classic approach of “make-use-dispose”. How companies can exploit the opportunities of CE to position themselves better are not well articulated in the literature. The purpose of this paper, therefore, is to identify the barriers and opportunities of CE in the manufacturing sector through a socio-political, economic, legal and environmental perspective. Design/methodology/approach The study adopts a positivist approach, which is deductive in nature. A survey questionnaire was designed and distributed to manufacturing companies operating in the UK and EU. The study used FAME database and social networking platform LinkedIn to identify manufacturing companies. More than 200+ companies were approached for this study and data collection lasted over two months. Findings The study provides a comprehensive review of the CE literature and identifies a number of barriers and opportunities to CE implementation from a socio-political, economic, legal and environmental perspective. The findings highlight key barriers, opportunities and benefits of CE for the manufacturing industries operating in the UK and EU. Research limitations/implications The findings are limited to 63 responses from the survey questionnaire distributed to manufacturing companies in the UK and EU. The present study aims to equip manufacturers with necessary understanding of the key opportunities and barriers to address the challenges encountered during the implementation of CE. Originality/value This study adds to the limited empirical literature on CE barriers and opportunities to manufacturing organisations operating in the UK and EU. The paper also identifies barriers and opportunities of CE from a socio-political, economic, legal and environmental lens.

PurposeThis paper contributes to risk management research with reference to disclosure of risk specific information within the oil and gas industry. This paper provides empirical evidence regarding voluntary and mandatory disclosure behaviour from both a quantitative and qualitative perspective.Design/methodology/approachA longitudinal empirical study examines probabilistic reserve quantum reporting of UK companies, over a time-period spanning voluntary and mandatory disclosure. The researchers analyse disclosure behaviour under voluntary and mandatory time spans using a logistical regression approach to measure determinants of risk reporting. Form of regulation is considered as the fundamental driver for disclosure whilst controlling for other relevant variables. Implications for developing international regulation are presented with suggestions for further research.FindingsMandatory reporting is not seen as a significant influence to disclosure. Degree of risk, quality of audit firms, level of stock exchange and organisational visibility each impact on disclosure. The findings indicate that a mandatory disclosure approach is ineffective, partially explained by mimetic and normative forces and a balancing of agency-related costs and benefits. There is an inverse relationship between level of risk and risk reporting.Research limitations/implicationsGeneralisation of the findings is limited due to the specific context of the extractive industry.Practical implicationsThe paper seeks to inform the International Accounting Standards Board's (IASB) on-going consideration of risk reporting and also its extractive industries deliberations.Originality/valueThe paper provides original insight into the area of risk management with particular focus on risk specificity and quantitative metrics for risk profiling not previously tested. The paper introduces risk profiling as a variable in risk disclosure.

Abstract. A new three-phase (oil/water/gas) flow metering system has been developed for use in the oil and gas industries, based on Coriolis mass flow metering. To obtain certification for use in the Russian oil and gas industries, trials have taken place at the UK and Russian national flow laboratories, NEL in Glasgow and VNIIR in Kazan, respectively. The metrology of three-phase flow is complex, and the uncertainty of each measurement varies dynamically with the operating point, as well as the metering technology, and other aspects. To a limited extent this is reflected in the error limits allowed in national standards, which may vary with operating point. For example, the GOST standard allows errors in the oil flow rate of ±6% for water cuts of less than 70%, which is increased to ±15% for water cuts between 70 and 95%. The provision of online uncertainty for each measurement, for example in accordance with the British Standard BS-7986, would be highly desirable, allowing the user to observe in real time variations in measurement quality. This paper will discuss how an online uncertainty assessment could be implemented in the Coriolis meter-based system.

Purpose The purpose of this paper is to review current continuous improvement implementation models and frameworks, and present a new conceptual framework tailored specifically to the needs of UK manufacturing companies. Design/methodology/approach The paper details the in-depth review of 20 existing models or frameworks for continuous improvement implementation, demonstrating the need for a new industry and region specific solution. Through the incorporation of previous findings from literature, coupled with the positive aspects of the current offerings, a new conceptual framework for continuous improvement implementation in UK manufacturing companies is presented. Findings The paper demonstrates the need for industry and region specific frameworks and demonstrates that current models and frameworks do not completely fulfil the objective of the research. A new continuous improvement implementation framework is therefore presented in a user friendly format, comprising positive aspects of previous models and frameworks where applicable. Research limitations/implications The focus of the research is limited to the UK and the manufacturing industry. It is therefore not clear the applicability of the framework presented to other regions and industries. The framework presented is also conceptual at this stage and requires validation through interview and application. Practical implications The framework presented will provide senior managers wishing to implement continuous improvement an understanding of the high level process, as well as awareness of their role within the roll out. Overall, the framework provides a clear guide whilst also allowing for individual tailoring of the elements contained to the needs of the company. Originality/value The paper presents a new conceptual framework; the first to be tailored to the needs of UK manufacturing companies. The framework has also been demonstrated to be a more robust solution than those currently in existence.

In this paper we focus on the ‘Christmas’ flood in York (UK), 2015. The case is special in the sense that little infrastructure was lost or damaged, while a single industry (IT services) was completely knocked out for a limited time. Due to these characteristics, the standard modelling techniques are no longer appropriate. An alternative option is provided by the Hypothetical Extraction Method, or HEM. However, there are restrictions in using the HEM, one being that no realistic substitutes exist for inputs from industries that were affected. In this paper we discuss these restrictions and show that the HEM performs well in the York flood case. In the empirical part of this paper we show that a three-day shutdown of the IT services caused a £3.24 m to £4.23 m loss in York, which is equivalent to 10% of the three days' average GVA (Gross Value Added) of York city. The services sector (excluding IT services) sustained the greatest loss at £0.80 m, where the business support industry which was predominantly hit. This study is the first to apply a HEM in this type of flood on a daily basis.

This article examines the early evolution of British policy, prior to the Second World War. The British government adopted an ‘open’ policy towards foreign direct investment (FDI), despite periodic fears that some foreign acquisitions of UK firms in key sectors might be detrimental to the national interest, and a few ad hoc attempts to deal with particular instances of this kind. During the 1930s, when the inflow of foreign firms accelerated following Britain's adoption of general tariff protection, the government developed a sophisticated admissions policy, based on an assessment of the likely net benefit of each applicant to the British economy. Its limited regulatory powers were used to maximize the potential of immigrant firms for technology transfer, enhanced competition, industrial diversification, and employment creation (particularly in the depressed regions), while protecting British industries suffering from excess capacity.

Purpose – The purpose of this paper is to investigate if CSR is balanced between firm and wider society interests. Design/methodology/approach – A qualitative interpretive hermeneutic approach is used to analyse a variety of publically published secondary sources on the CSR of Tesco, Sainsburys, Morrisons and Co-operative in the UK grocery multiple sector (2005-2010). Findings – CSR strategic outcomes currently favour the firm more than society interests. A multilayered framework in the form of Social Responsibility of the Corporation (SRC) is designed and offered in support of balancing the business-society relationship more evenly. Research limitations/implications – This study is limited to firms originating from within the UK grocery multiple sector. Asda could not be included in the study as it does not publish CSR reports annually in the UK after becoming part of Walmart group. Practical implications – A framework for multi-level standardised definition of CSR in the form of SRC is offered. The inclusion of employees and members of the public on CSR/SRC boards is recommended to foster wider collaboration. The SRC framework promotes standardisation at global level while respecting diversity and firm heterogeneity at firm level. The findings may further contribute to GRI; UN Global Compact; WEF dialogues. Social implications – Recommendations are made to extend CSR board diversity for improved dialogue with communities. The SRC framework may be applied at global; national; industry and firm level. The framework can be applied internationally or locally. Future studies may offer quantitative attributes for balancing CSR/SRC. Originality/value – A globally unique and universally applicable framework for evaluating CSR activities is proposed. Future studies may extend the authors' framework to other industries, national environments or globally in the pursuit of balance between firm and society. Furthermore, firms may also adopt the framework to support CSR activities.

This chapter discusses the lack of ethnic diversity in the creative sector, which remains a significant problem throughout the media and creative industries. There is a significant under-representation of people from black, Asian and other minority ethnic backgrounds (BAME) working in the media and creative industries. Despite many years of efforts by individuals and organisations designed to improve ethnic diversity in the industry, UK media is missing out on an enormous pool of talent. Some of the reasons why access to the creative industries for young people from ethnic minority backgrounds is poor include lack of awareness among BAME young of the opportunities available; closed recruitment networks within the media; and limited knowledge on the part of school and college career services of the opportunities available in the creative sector.

The rapid growth of information technology has opened up the possibilities of corporate learning and a completely new dimension to the progress in education and training. Educational and training programs that were once delivered only through a face-to-face setting can now be done electronically due to the advancement of technologies. As a result, the advent of distance learning has enabled not just flexible learning which is independent of time and space, but also significantly reduced the cost in acquiring necessary educational or professional training. Distance learning through virtual classroom is thus being considered by many to be the next revolution in the marketplace, with an estimated potential growth of $23.7 billion worldwide in 2006, according to a study conducted by the International Data Corporation (Downes, 2003). This article aims to provide an overview of the concepts and technologies of distance learning, and discuss the critical factors that determine the successful implementation of a distance learning system. Before going into further details of the distance learning concepts, it is necessary to look at some of the definitions of distance learning that have been proposed by various parties. Waller and Wilson (2001) from the Open and Distance Learning Quality Council in the UK defined distance learning as “the effective learning process created by combining digitally delivered content with (learning) support and services.” This brief but concise definition shows that distance learning is in digital form. In a more lengthy definition, Broadbent (2002) refers distance learning to training, education, coaching, and information that are delivered digitally, be it synchronous or asynchronous, through a network via the Internet, CD-ROM, satellite, and even supported by the telephone. From this extended definition, we see that distance learning can be synchronous where the learning process is carried out in real-time led by instructor, or asynchronous, where the learners can self-pace their progress. Zhang, Zhao, Zhou, and Nunamaker (2004, p. 76) in their paper described distance learning as “technology-based learning in which learning materials are delivered electronically to remote learners via a computer network.” This definition reiterates that there is a shift of trend from the old-fashioned classroom learning to the more mobile learning where the remote learners everywhere can learn. As distance learning is still a relatively new discipline, the term tends to evolve from time to time based on the technological advancements. As such, the above mentioned definitions are by no means definitive but suggestive. Generally, the emergence of distance learning concepts a decade ago can be reasoned from two factors: the needs of corporations and the availability of technological advances (Faherty, 2002; Urdan & Weggen, 2000). From the corporation aspect, one must cope with the fact that knowledge plays an important role in delivering immediate skills and just-in-time information the industries need nowadays. As knowledge becomes obsolete swiftly, it is essential for corporations to find a cost-effective way of delivering state-of-theart training to their workers. From the technological aspect, global network access has become widely available with an increased Internet bandwidth, a broad selection of available software packages, and a wide range of standardized distance learning products. This has made it possible for everybody with a computer and an Internet connection to learn in a way that is most convenient and comfortable. Learners are able to customize their learning activities based on their own styles and needs, and decide for themselves when to study in the midst of busy schedules. Nevertheless, many corporations still hold doubts towards the effectiveness of distance learning. Deficiencies in support, content, quality of teaching, cultural, and motivational problems are some of the main concerns that have been raised (Rosenberg, 2001). For individuals, especially the older generations, the fear of technology is something to overcome (Nisar, 2002). This somehow confines the prospect of distance learning to a limited number of age groups. Meanwhile, the flexibility of self-paced learning also leads to the possibility of spending less time in study when workload in other areas increases, which could be quite detrimental to the learning process. Although some obstacles do exist in the adoption and implementation of distance learning, the benefits of it can be tremendous if the design and delivery are well catered for. A few core elements which are deemed to be essential for successful implementation of distance learning systems have thus been identified. The following section describes these core elements.

A cohort study is one in which the outcome (usually disease status) is ascertained for groups of individuals defined on the basis of their exposure. At the time exposure status is determined, all must be free of the disease. All eligible participants are then followed up over time. Since exposure status is determined before the occurrence of the outcome, a cohort study can clarify the temporal sequence between exposure and outcome, with minimal information bias. The historical and the population cohort study (Box 9.1) are efficient variants of the classical cohort study described above, which nevertheless retain the essential components of the cohort study design. The exposure can be dichotomous [i.e. exposed (to obstetric complications at birth) vs. not exposed], or graded as degrees of exposure (e.g. no recent life events, one to two life events, three or more life events). The use of grades of exposure strengthens the results of a cohort study by supporting or refuting the hypothesis that the incidence of the disease increases with increasing exposure to the risk factor; a so-called dose–response relationship. The essential features of a cohort study are: ♦ participants are defined by their exposure status rather than by outcome (as in case–control design); ♦ it is a longitudinal design: exposure status must be ascertained before outcome is known. The classical cohort study In a classical cohort study participants are selected for study on the basis of a single exposure of interest. This might be exposure to a relatively rare occupational exposure, such as ionizing radiation (through working in the nuclear power industry). Care must be taken in selecting the unexposed cohort; perhaps those working in similar industries, but without any exposure to radiation. The outcome in this case might be leukaemia. All those in the exposed and unexposed cohorts would need to be free of leukaemia (hence ‘at risk’) on recruitment into the study. The two cohorts would then be followed up for (say) 10 years and rates at which they develop leukaemia compared directly. Classical cohort studies are rare in psychiatric epidemiology. This may be in part because this type of study is especially suited to occupational exposures, which have previously been relatively little studied as causes of mental illness. However, this may change as the high prevalence of mental disorders in the workplace and their negative impact upon productivity are increasingly recognized. The UK Gulf War Study could be taken as one rather unusual example of the genre (Unwin et al. 1999). Health outcomes, including mental health status, were compared between those who were deployed in the Persian Gulf War in 1990–91, those who were later deployed in Bosnia, and an ‘era control group’ who were serving at the time of the Gulf war but were not deployed. There are two main variations on this classical cohort study design: they are popular as they can, depending on circumstances, be more efficient than the classical cohort design. The population cohort study In the classical cohort study, participants are selected on the basis of exposure, and the hypothesis relates to the effect of this single exposure on a health outcome. However, a large cohort or panel of subjects are sometimes recruited and followed up, often over many years, to study multiple exposures and outcomes. No separate comparison group is required as the comparison group is generally an unexposed sub-group of the panel. Examples include the British Doctor's Study in which over 30,000 British doctors were followed up for over 20 years to study the effects of smoking and other exposures on health (Doll et al. 1994), and the Framingham Heart Study, in which residents of a town in Massachusetts, USA have been followed up for 50 years to study risk factors for coronary heart disease (Wolf et al. 1988). The Whitehall and Whitehall II studies in the UK (Fuhrer et al. 1999; Stansfeld et al. 2002) were based again on an occupationally defined cohort, and have led to important findings concerning workplace conditions and both physical and psychiatric morbidity. Birth cohort studies, in which everyone born within a certain chronological interval are recruited, are another example of this type of study. In birth cohorts, participants are commonly followed up at intervals of 5–10 years. Many recent panel studies in the UK and elsewhere have been funded on condition that investigators archive the data for public access, in order that the dataset might be more fully exploited by the wider academic community. Population cohort studies can test multiple hypotheses, and are far more common than any other type of cohort study. The scope of the study can readily be extended to include mental health outcomes. Thus, both the British Doctor's Study (Doll et al. 2000) and the Framingham Heart Study (Seshadri et al. 2002) have gone on to report on aetiological factors for dementia and Alzheimer's Disease as the cohorts passed into the age groups most at risk for these disorders. A variant of the population cohort study is one in which those who are prevalent cases of the outcome of interest at baseline are also followed up effectively as a separate cohort in order (a) to study the natural history of the disorder by estimating its maintenance (or recovery) rate, and (b) studying risk factors for maintenance (non-recovery) over the follow-up period (Prince et al. 1998). Historical cohort studies In the classical cohort study outcome is ascertained prospectively. Thus, new cases are ascertained over a follow-up period, after the exposure status has been determined. However, it is possible to ascertain both outcome and exposure retrospectively. This variant is referred to as a historical cohort study (Fig. 9.1). A good example is the work of David Barker in testing his low birth weight hypothesis (Barker et al. 1990; Hales et al. 1991). Barker hypothesized that risk for midlife vascular and endocrine disorders would be determined to some extent by the ‘programming’ of the hypothalamo-pituitary axis through foetal growth in utero. Thus ‘small for dates’ babies would have higher blood pressure levels in adult life, and greater risk for type II diabetes (through insulin resistance). A prospective cohort study would have recruited participants at birth, when exposure (birth weight) would be recorded. They would then be followed up over four or five decades to examine the effect of birth weight on the development of hypertension and type II diabetes. Barker took the more elegant (and feasible) approach of identifying hospitals in the UK where several decades previously birth records were meticulously recorded. He then traced the babies as adults (where they still lived in the same area) and measured directly their status with respect to outcome. The ‘prospective’ element of such studies is that exposure was recorded well before outcome even though both were ascertained retrospectively with respect to the timing of the study. The historical cohort study has also proved useful in psychiatric epidemiology where it has been used in particular to test the neurodevelopmental hypothesis for schizophrenia (Jones et al. 1994; Isohanni et al. 2001). Jones et al. studied associations between adult-onset schizophrenia and childhood sociodemographic, neurodevelopmental, cognitive, and behavioural factors in the UK 1946 birth cohort; 5362 people born in the week 3–9 March 1946, and followed up intermittently since then. Subsequent onsets of schizophrenia were identified in three ways: (a) routine data: cohort members were linked to the register of the Mental Health Enquiry for England in which mental health service contacts between 1974 and 1986 were recorded; (b) cohort data: hospital and GP contacts (and the reasons for these contacts) were routinely reported at the intermittent resurveys of the cohort; (c) all cohort participants identified as possible cases of schizophrenia were given a detailed clinical interview (Present State examination) at age 36. Milestones of motor development were reached later in cases than in non-cases, particularly walking. Cases also had more speech problems than had noncases. Low educational test scores at ages 8,11, and 15 years were a risk factor. A preference for solitary play at ages 4 and 6 years predicted schizophrenia. A health visitor's rating of the mother as having below average mothering skills and understanding of her child at age 4 years was a predictor of schizophrenia in that child. Jones concluded ‘differences between children destined to develop schizophrenia as adults and the general population were found across a range of developmental domains. As with some other adult illnesses, the origins of schizophrenia may be found in early life’. Jones' findings were largely confirmed in a very similar historical cohort study in Finland (Isohanni et al. 2001); a 31 year follow-up of the 1966 North Finland birth cohort (n = 12,058). Onsets of schizophrenia were ascertained from a national hospital discharge register. The ages at learning to stand, walk and become potty-trained were each related to subsequent incidence of schizophrenia and other psychoses. Earlier milestones reduced, and later milestones increased, the risk in a linear manner. These developmental effects were not seen for non-psychotic outcomes. The findings support hypotheses regarding psychosis as having a developmental dimension with precursors apparent in early life. There are many conveniences to this approach for the contemporary investigator. ♦ The exposure data has already been collected for you. ♦ The follow-up period has already elapsed. ♦ The design maintains the essential feature of the cohort study, namely that information bias with respect to the assessment of the exposure should not be a problem. ♦ As with the Barker hypothesis example, historical cohort studies are particularly useful for investigating associations across the life course, when there is a long latency between hypothesized exposure and outcome. Despite these important advantages, such retrospective studies are often limited by reliance on historical data that was collected routinely for other purposes; often these data will be inaccurate or incomplete. Also information about possible confounders, such as smoking or diet, may be inadequate.

Abstract The 2014 Wood Review is a report reviewing UK offshore oil and gas recovery and its regulation, led by Sir Ian Wood. The report identifies and addresses key challenges in the UK petroleum industry, among them the lack of a strong regulatory body and a decommissioning strategy. The UK petroleum industry is mature, and Norway may benefit from UK's experiences in decommissioning. The article investigates the applicability of the Wood Review recommendations for decommissioning in Norway. The analysis of the recommendations in the Wood Review is carried out by a SWOT-analysis of the general recommendations with a high potential impact on decommissioning as well as the five recommendations specific to decommissioning. The recommendations in the Wood Review were broadly accepted by UK authorities and formed the basis for numerous initiatives aimed at improving policies and practices in UK decommissioning. The key initiatives are presented to illustrate how the Wood Review recommendations has been interpreted. A summary of the key differences between the petroleum industries and the regulatory authorities in Norway and the UK is provided for background. Decommissioning in Norway face similar challenges to those identified in the Wood Review. The analysis indicates that several of the UK initiatives following the recommendations in the Wood Review has the potential of improving decommissioning in Norway. Differences in regulatory regimes between the regions may complicate the implementation of some of the initiatives following the Wood Review in Norway. In most cases only minor changes to regulations and/or practices are required. Recent UK initiatives with a high impact on decommissioning include increased focus on sharing of information and lessons learned, increased collaboration, the development of a decommissioning strategy, benchmarking of decommissioning cost estimates for all projects and the development and publishing of annual UK decommissioning cost estimates. There are indications that the Norwegian Petroleum Directorate (NPD) and the Norwegian Ministry of Petroleum and Energy (MPE) are falling behind their UK counterparts in key areas. Norway has limited experience with decommissioning, and scrupulous analysis of lessons learned in other regions is essential. Decommissioning of Norwegian offshore infrastructure is a major undertaking and even minor improvements may have a substantial impact on personnel risk, risk to the environment or the total decommissioning expenditure. The Norwegian regulatory regime has been an integral part of the Norwegian petroleum industry's success in previous decades, and changes to the regime require careful deliberation. The recent implementation of initiatives aimed at improving decommissioning regulations and practices in the UK represents a unique learning opportunity for Norwegian authorities. The analysis suggest that Norway may benefit from adopting some of the UK initiatives following the Wood Review recommendations.

The impingement of a fluid jet onto a surface has broad applications across many industries. Within the UK nuclear industry, during the final stages of fuel reprocessing, impinging fluid jets are utilised to mobilise settled sludge material within storage tanks in preparation for transfer and ultimate immobilisation through vitrification. Despite the extensive applications of impinging jets within the nuclear and other industries, the study of two-phase, particle -laden, impinging jets is limited, and generally restricted to computational modelling. Surprisingly, very little fundamental understanding of the turbulence structure within such fluid flows through experimental investigation is found within the literature. The physical modelling of impinging jet systems could successfully serve to aid computer model validation, determine operating requirements, evaluate plant throughput requirements, optimise process operations and support design. Within this work a method is considered, capable of exploring the effects of process and material variables on the flow phenomena of impinging jets. This is achieved on a number of experimental test rigs of varying scale employing both intrusive and non-intrusive measurement techniques Particle image velocimetry (PIV), ultrasonic Doppler velocity profiling (UDVP) and high speed imaging, through to visual observations and direct measurements, are all techniques that can be deployed. The influence of a number of parameters on the erosion characteristics of sediment beds following application of an axisymmetric impinging jet is presented in detail. Bed erosion is found to be enhanced as the jet height above the sediment bed is increased, due to greater turbulence development. Different erosion characteristics, as jet outlet velocity increased, were found for the particulates tested; sand, fine Mg(OH)2 (test simulant representative of waste sludge, has similar particle size to sand, 200–1000μm) and coarse Mg(OH)2 (1000–2000μm). The crater diameter increased with increasing velocity as expected. However, the effect of the increase in velocity on the crater depth was very different, particularly for the coarse material which was found to re-deposit in the crater when the velocity increased above 1.3 ms−1, most likely due to enhanced re-circulation at the higher velocities.

Over the last decade, there has been increasing discussions about self-driving cars and how most auto-makers are racing to launch these products. However, this discourse is not limited to transportation only, but how such vehicles will affect other industries and specific aspects of our daily lives as future users such as the concept of work while being driven and productivity, entertainment, travel speed, and deliveries. Although these technologies are beneficial, access to these potentials depends on the behaviour of their users. There is a lack of a conceptual model that elucidate the acceptance of people to Self-driving cars. Service on-demand and shared mobility are the most critical factors that will ensure the successful adoption of these cars. This paper presents an analysis of public opinions in Nottingham, UK, through a questionnaire about the future of Autonomous vehicles' ownership and the extent to which they accept the idea of vehicle sharing. Besides, this paper tests two hypotheses. Firstly, (a) people who usually use Public transportation like (taxi, bus, tram, train, carpooling) are likely to share an Autonomous Vehicle in the future. Secondly, (b) people who use Private cars are expected to own an Autonomous Vehicle in the future. To achieve this aim, a combination of statistical methods such as logistic regression has been utilised. Unexpectedly, the study findings suggested that AVs ownership will increase contrary to what is expected, that Autonomous vehicles will reduce ownership. Besides, participants have shown low interest in sharing AVs. Therefore, it is likely that ownership of AVs will increase for several reasons as expressed by the participants such as safety, privacy, personal space, suitability to children and availability. Actions must be taken to promote shared mobility to avoid AVs possession growth. The ownership diminution, in turn, will reduce traffic congestion, energy and transport efficiency, better air quality. That is why analysing the factors that influence the mindset and attitude of people will enable us to understand how to shift from private cars to transport-on-demand, which is a priority rather than promoting the technology.