Industry evolution and cross-sectoral skill transfers:a comparative analysis of the video game industry in Japan, the United States, and the United Kingdom

In this paper we explore the interrelationship between technological progress and the formation of industry-specific skills by analysing the evolution of the video-game industry in three countries: Japan, the United States, and the United Kingdom. We argue that the cross-sectoral transfer of skills occurs differently depending on national contexts, such as the social legitimacy and strength of preexisting industries, the socioeconomic status of entrepreneurs or pioneer firms in an emerging industry, and the sociocultural cohesiveness between the preexisting and emerging industries. Each country draws on a different set of creative resources, which results in a unique trajectory. Whereas Japan's video-game industry emerged out of corporate sponsorships in arcades, toys, and consumer electronics industries and drew skills from the comic book and animated-film sectors, the video-game industry in the United States evolved from arcades and personal computers. In the United Kingdom the video-game industry developed bottom-up, through a process of skills formation in the youth culture of 'bedroom coders' that nurtured self-taught programmers in their teens throughout the country.

The role of prior exposure on the capture of attention by items in working memory

The Biased Competition Model (BCM) suggests both top-down and bottom-up biases operate on selective attention (e.g., Desimone & Duncan, 1995). It has been suggested that top-down control signals may arise from working memory. In support, Downing (2000) found faster responses to probes presented in the location of stimuli held vs. not held in working memory. Soto, Heinke, Humphreys, and Blanco (2005) showed the involuntary nature of this effect and that shared features between stimuli were sufficient to attract attention. Here we show that stimuli held in working memory had an influence on the deployment of attentional resources even when: (1) It was detrimental to the task, (2) there was equal prior exposure, and (3) there was no bottom-up priming. These results provide further support for involuntary top-down guidance of attention from working memory and the basic tenets of the BCM, but further discredit the notion that bottom-up priming is necessary for the effect to occur.

Exploring value through integrated service solutions:the case of e-grocery shopping

Purpose – The purpose of this paper is to demonstrate the need for an improved understanding of consumer value for online grocery purchases and to propose the notion of “integrated service solution” packages as a strategy for growing and successfully sustaining the channel to guide both marketing strategy and policy. Design/methodology/approach – This paper integrates and synthesises research from retailing, consumer behaviour and service quality literatures in order to develop a conceptual framework for understanding the value of e-grocery shopping to aid practitioners to address the critical needs, expectations and concerns of consumers for the development of grocery shopping within the online environment. Findings – This paper offers an alternative approach to allow e-grocery to become a mainstream retail channel in its own right and not to compete with the in-store offerings. The research demonstrates the need for a progressive approach that follows contemporary consumer needs and habits at the household level. The conjecture is that shopping for fast-moving consumer goods follows a learning path that needs to be replicated in the online context. Moreover, it is suggested that consumer resistance to the adoption of the new channel should be addressed not only from a technological perspective but also from the social aspects of online shopping. Originality/value – The research provides a practical framework for both retailers and policy makers on how the “next generation” of online services can be developed using a “bottom up” consumer perspective. This paper also advocates a non-technological bias to e-grocery retailing strategy.

A methodology for analysis and control of discrete event dynamic systems

The rapid developments in computer technology have resulted in a widespread use of discrete event dynamic systems (DEDSs). This type of system is complex because it exhibits properties such as concurrency, conflict and non-determinism. It is therefore important to model and analyse such systems before implementation to ensure safe, deadlock free and optimal operation. This thesis investigates current modelling techniques and describes Petri net theory in more detail. It reviews top down, bottom up and hybrid Petri net synthesis techniques that are used to model large systems and introduces on object oriented methodology to enable modelling of larger and more complex systems. Designs obtained by this methodology are modular, easy to understand and allow re-use of designs. Control is the next logical step in the design process. This thesis reviews recent developments in control DEDSs and investigates the use of Petri nets in the design of supervisory controllers. The scheduling of exclusive use of resources is investigated and an efficient Petri net based scheduling algorithm is designed and a re-configurable controller is proposed. To enable the analysis and control of large and complex DEDSs, an object oriented C++ software tool kit was developed and used to implement a Petri net analysis tool, Petri net scheduling and control algorithms. Finally, the methodology was applied to two industrial DEDSs: a prototype can sorting machine developed by Eurotherm Controls Ltd., and a semiconductor testing plant belonging to SGS Thomson Microelectronics Ltd.

Reconstructing the past? Low German and the creating of regional identity in public language display

This article deals with language contact between a dominant standard language -German - and a lesser-used variety - Low German - in a situation in which the minoritised language is threatened by language shift and language loss. It analyses the application of Low German in forms of public language display and the selfpresentation of the community in tourism brochures, focusing on bilingual linguistic practices on the one hand and on underlying discourses on the other. It reveals that top-down and bottom-up approaches to implementing Low German in public language display show a remarkable homogeneity, thus creating a regional 'brand'. The article asks whether a raised level of visibility will in itself guarantee better chances for linguistic maintenance and survival of the threatened language. © 2011 Taylor & Francis.

Innovation in the pharmaceutical industry:a study of the effects of regulation on the U.K. pharmaceutical industry

A history of government drug regulation and the relationship between the pharmaceutical companies in the U.K. and the licensing authority is outlined. Phases of regulatory stringency are identified with the formation of the Committees on Safety of Drugs and Medicines viewed as watersheds. A study of the impact of government regulation on industrial R&D activities focuses on the effects on the rate and direction of new product innovation. A literature review examines the decline in new chemical entity innovation. Regulations are cited as a major but not singular cause of the decline. Previous research attempting to determine the causes of such a decline on an empirical basis is given and the methodological problems associated with such research are identified. The U.K. owned sector of the British pharmaceutical industry is selected for a study employing a bottom-up approach allowing disaggregation of data. A historical background to the industry is provided, with each company analysed or a case study basis. Variations between companies regarding the policies adopted for R&D are emphasised. The process of drug innovation is described in order to determine possible indicators of the rate and direction of inventive and innovative activity. All possible indicators are considered and their suitability assessed. R&D expenditure data for the period 1960-1983 is subsequently presented as an input indicator. Intermediate output indicators are treated in a similar way and patent data are identified as a readily-available and useful source. The advantages and disadvantages of using such data are considered. Using interview material, patenting policies for most of the U.K. companies are described providing a background for a patent-based study. Sources of patent data are examined with an emphasis on computerised systems. A number of searches using a variety of sources are presented. Patent family size is examined as a possible indicator of an invention's relative importance. The patenting activity of the companies over the period 1960-1983 is given and the variation between companies is noted. The relationship between patent data and other indicators used is analysed using statistical methods resulting in an apparent lack of correlation. An alternative approach taking into account variations in company policy and phases in research activity indicates a stronger relationship between patenting activity, R&D Expenditure and NCE output over the period. The relationship is not apparent at an aggregated company level. Some evidence is presented for a relationship between phases of regulatory stringency, inventive and innovative activity but the importance of other factors is emphasised.

Abnormal amygdala-prefrontal effective connectivity to happy faces differentiates bipolar from major depression

Background - Bipolar disorder is frequently misdiagnosed as major depressive disorder, delaying appropriate treatment and worsening outcome for many bipolar individuals. Emotion dysregulation is a core feature of bipolar disorder. Measures of dysfunction in neural systems supporting emotion regulation might therefore help discriminate bipolar from major depressive disorder. Methods - Thirty-one depressed individuals—15 bipolar depressed (BD) and 16 major depressed (MDD), DSM-IV diagnostic criteria, ages 18–55 years, matched for age, age of illness onset, illness duration, and depression severity—and 16 age- and gender-matched healthy control subjects performed two event-related paradigms: labeling the emotional intensity of happy and sad faces, respectively. We employed dynamic causal modeling to examine significant among-group alterations in effective connectivity (EC) between right- and left-sided neural regions supporting emotion regulation: amygdala and orbitomedial prefrontal cortex (OMPFC). Results - During classification of happy faces, we found profound and asymmetrical differences in EC between the OMPFC and amygdala. Left-sided differences involved top-down connections and discriminated between depressed and control subjects. Furthermore, greater medication load was associated with an amelioration of this abnormal top-down EC. Conversely, on the right side the abnormality was in bottom-up EC that was specific to bipolar disorder. These effects replicated when we considered only female subjects. Conclusions - Abnormal, left-sided, top-down OMPFC–amygdala and right-sided, bottom-up, amygdala–OMPFC EC during happy labeling distinguish BD and MDD, suggesting different pathophysiological mechanisms associated with the two types of depression.

High-throughput manufacturing of size-tuned liposomes by a new microfluidics method using enhanced statistical tools for characterization

Microfluidics has recently emerged as a new method of manufacturing liposomes, which allows for reproducible mixing in miliseconds on the nanoliter scale. Here we investigate microfluidics-based manufacturing of liposomes. The aim of these studies was to assess the parameters in a microfluidic process by varying the total flow rate (TFR) and the flow rate ratio (FRR) of the solvent and aqueous phases. Design of experiment and multivariate data analysis were used for increased process understanding and development of predictive and correlative models. High FRR lead to the bottom-up synthesis of liposomes, with a strong correlation with vesicle size, demonstrating the ability to in-process control liposomes size; the resulting liposome size correlated with the FRR in the microfluidics process, with liposomes of 50 nm being reproducibly manufactured. Furthermore, we demonstrate the potential of a high throughput manufacturing of liposomes using microfluidics with a four-fold increase in the volumetric flow rate, maintaining liposome characteristics. The efficacy of these liposomes was demonstrated in transfection studies and was modelled using predictive modeling. Mathematical modelling identified FRR as the key variable in the microfluidic process, with the highest impact on liposome size, polydispersity and transfection efficiency. This study demonstrates microfluidics as a robust and high-throughput method for the scalable and highly reproducible manufacture of size-controlled liposomes. Furthermore, the application of statistically based process control increases understanding and allows for the generation of a design-space for controlled particle characteristics.

Local economic development initiatives and the transition from training and enterprise councils to new institutional structures in England

Current British government economic development policy emphasises regional and sub-regional scale, multi-agent initiatives that form part of national frameworks to encourage a 'bottom up' approach to economic development. An emphasis on local multi-agent initiatives was also the mission of Training and Enterprise Councils (TECs). Using new survey evidence this article tracks the progress of a number of initiatives established under the TECs, using the TEC Discretionary Fund as an example. It assesses the ability of successor bodies to be more effective in promoting local economic development. Survey evidence is used to confirm that many projects previously set up by the TECs continue to operate successfully under new partnership arrangements. However as new structures have developed, and policy has become more centralized, it is less likely that similar local initiatives will be developed in future. There is evidence to suggest that with the end of the TECs a gap has emerged in the institutional infrastructure for local economic development, particularly with regard to workforce development. Much will depend in future on how the Regional Development Agencies deploy their growing power and resources.

An agent approach to improving radio frequency identification enabled Returnable Transport Equipment

Returnable transport equipment (RTE) such as pallets form an integral part of the supply chain and poor management leads to costly losses. Companies often address this matter by outsourcing the management of RTE to logistics service providers (LSPs). LSPs are faced with the task to provide logistical expertise to reduce RTE related waste, whilst differentiating their own services to remain competitive. In the current challenging economic climate, the role of the LSP to deliver innovative ways to achieve competitive advantage has never been so important. It is reported that radio frequency identification (RFID) application to RTE enables LSPs such as DHL to gain competitive advantage and offer clients improvements such as loss reduction, process efficiency improvement and effective security. However, the increased visibility and functionality of RFID enabled RTE requires further investigation in regards to decision‐making. The distributed nature of the RTE network favours a decentralised decision‐making format. Agents are an effective way to represent objects from the bottom‐up, capturing the behaviour and enabling localised decision‐making. Therefore, an agent based system is proposed to represent the RTE network and utilise the visibility and data gathered from RFID tags. Two types of agents are developed in order to represent the trucks and RTE, which have bespoke rules and algorithms in order to facilitate negotiations. The aim is to create schedules, which integrate RTE pick‐ups as the trucks go back to the depot. The findings assert that: - agent based modelling provides an autonomous tool, which is effective in modelling RFID enabled RTE in a decentralised utilising the real‐time data facility. ‐ the RFID enabled RTE model developed enables autonomous agent interaction, which leads to a feasible schedule integrating both forward and reverse flows for each RTE batch. ‐ the RTE agent scheduling algorithm developed promotes the utilisation of RTE by including an automatic return flow for each batch of RTE, whilst considering the fleet costs andutilisation rates. ‐ the research conducted contributes an agent based platform, which LSPs can use in order to assess the most appropriate strategies to implement for RTE network improvement for each of their clients.

Evaluation of vulnerability factors for cyclones : the case of Patuakhali, Bangladesh

Tropical cyclones are considered as the most severe natural disasters in Bangladesh; they cause extensive damage, create losses in the country׳s economy, and affect social settings. The impact of natural disasters has been further intensified due to various vulnerability factors within the Bangladeshi community such as low income; shortages of food; lack of assets such as land and permanent housing; dense population, illiteracy. This study evaluates the vulnerability factors for cyclones in the community based in the Patuakhali region of south western Bangladesh. The bottom-up research approach was adopted for the study, whereby the local community was consulted for their viewpoints by using focus group interviews and semi-structured interviews. Different community groups and social categories including both men and women, from different age groups and livelihoods, participated in the study. The study revealed how the community׳s vulnerability to cyclones has been further aggravated by socio-economic factors such as social status, political influences and economic conditions. The majority of the community in Patuakhali has been “knowingly” vulnerable to cyclone disaster as a result of the lack of alternatives especially in terms of their livelihood patterns. The vulnerability of women, due to their lack of authority, domestic work, and fear of exposure within the society was also highlighted. The study revealed how vulnerability factors are interlinked with each other making them further difficult to manage. This calls for multi-faceted disaster risk reduction strategies that targets vulnerability factors deriving from different origins and root causes.

Evaluation of vulnerability factors for cyclones:the case of Patuakhali, Bangladesh

Tropical cyclones are considered as the most severe natural disasters in Bangladesh; they cause extensive damage, create losses in the country[U+05F3]s economy, and affect social settings. The impact of natural disasters has been further intensified due to various vulnerability factors within the Bangladeshi community such as low income; shortages of food; lack of assets such as land and permanent housing; dense population, illiteracy. This study evaluates the vulnerability factors for cyclones in the community based in the Patuakhali region of south western Bangladesh. The bottom-up research approach was adopted for the study, whereby the local community was consulted for their viewpoints by using focus group interviews and semi-structured interviews. Different community groups and social categories including both men and women, from different age groups and livelihoods, participated in the study. The study revealed how the community[U+05F3]s vulnerability to cyclones has been further aggravated by socio-economic factors such as social status, political influences and economic conditions. The majority of the community in Patuakhali has been "knowingly" vulnerable to cyclone disaster as a result of the lack of alternatives especially in terms of their livelihood patterns. The vulnerability of women, due to their lack of authority, domestic work, and fear of exposure within the society was also highlighted. The study revealed how vulnerability factors are interlinked with each other making them further difficult to manage. This calls for multi-faceted disaster risk reduction strategies that targets vulnerability factors deriving from different origins and root causes. © 2014 Elsevier Ltd.

Partnering with governments and other institutions:driving change in diabetes care

The human and material cost of type 2 diabetes is a cause of increasing concern for health professionals, representative organisations and governments worldwide. The scale of morbidity and mortality has led the United Nations to issue a resolution on diabetes, calling for national policies for prevention, treatment and care. There is clearly an urgent need for a concerted response from all interested parties at the community, national and international level to work towards the goals of the resolution and create effective, sustainable treatment models, care systems and prevention strategies. Action requires both a 'bottom-up' approach of public awareness campaigns and pressure from healthcare professionals, coupled with a 'top-down' drive for change, via partnerships with governments, third sector (non-governmental) organisations and other institutions. In this review, we examine how existing collaborative initiatives serve as examples for those seeking to implement change in health policy and practice in the quest to alleviate the health and economic burden of diabetes. Efforts are underway to provide continuous and comprehensive care models for those who already have type 2 diabetes; in some cases, national plans extend to prevention strategies in attempts to improve overall public health. In the spirit of partnership, collaborations with governments that incorporate sustainability, long-term goals and a holistic approach continue to be a driving force for change. It is now critical to maintain this momentum and use the growing body of compelling evidence to educate, inform and deliver a long-term, lasting impact on patient and public health worldwide. © 2007 The Authors.

Scalable harmonization of complex networks with local controllers

Computational and communication complexities call for distributed, robust, and adaptive control. This paper proposes a promising way of bottom-up design of distributed control in which simple controllers are responsible for individual nodes. The overall behavior of the network can be achieved by interconnecting such controlled loops in cascade control for example and by enabling the individual nodes to share information about data with their neighbors without aiming at unattainable global solution. The problem is addressed by employing a fully probabilistic design, which can cope with inherent uncertainties, that can be implemented adaptively and which provide a systematic rich way to information sharing. This paper elaborates the overall solution, applies it to linear-Gaussian case, and provides simulation results.

Towards probabilistic synchronization of local controllers

The traditional use of global and centralised control methods, fails for large, complex, noisy and highly connected systems, which typify many real world industrial and commercial systems. This paper provides an efficient bottom up design of distributed control in which many simple components communicate and cooperate to achieve a joint system goal. Each component acts individually so as to maximise personal utility whilst obtaining probabilistic information on the global system merely through local message-passing. This leads to an implied scalable and collective control strategy for complex dynamical systems, without the problems of global centralised control. Robustness is addressed by employing a fully probabilistic design, which can cope with inherent uncertainties, can be implemented adaptively and opens a systematic rich way to information sharing. This paper opens the foreseen direction and inspects the proposed design on a linearised version of coupled map lattice with spatiotemporal chaos. A version close to linear quadratic design gives an initial insight into possible behaviours of such networks.