Extra compensation for inventive employees:is our system equitable, unbiased and motivating?

There is a presumption that invention is good. It provides us with innovative goods, services and ways of doing things leading to greater employment, wealth and health. This article looks at the two recent UK cases regarding statutory extra compensation that may be awarded to employee inventors under the Patents Act 1977. Most universities worldwide and many companies have individual inventor reward schemes. Researchers now work in teams made up of both industry and academic researchers who are often based in different countries where different legal regimes apply. Is leaving the decision to award employees extra financial compensation up to individual companies unfair, unequal and de-motivating? Is having differing legislative systems in different European countries counter productive and a barrier to economic growth? There must be a balance between the inventor and the innovator. Do we have it right and if not what should it be? Legislation: Patents Act 1977 s.39 , s.40 , s.41 Cases: Kelly v GE Healthcare Ltd [2009] EWHC 181 (Pat); [2009] R.P.C. 12 (Ch D (Patents Ct)) Shanks v Unilever Plc [2010] EWCA Civ 1283; [2011] R.P.C. 12 (CA (Civ Div))

Wage inequality and productivity growth:motivating sticks and crippling carrots

Wage inequality is a particular focus of attention not only in public debates over the need for social regulation to support equity, but those over the implications of social regulation for productive performance. The present paper employs panel techniques to examine the comparative historical relationship between wage inequality and hourly labour productivity growth in the manufacturing sectors of nine advanced industrialised nations over the period 1970-1995. The results show that whilst greater inequality in the top half of the wage distribution is associated with greater productivity growth, greater inequality in the bottom half is associated with lower productivity growth. It appears that whilst wage inequality in the top half of the distribution productively motivates higher earners, wage inequality in the bottom half of the distribution is detrimental for productivity performance. The latter result is most likely attributable to the weak incentives to reorganise production where extremely low pay is feasible.

Motivating students to learn through good and helpful coursework feedback

The 2008 National Student Survey revealed that: 44% of full-time students in England did not think that the feedback on their work had been prompt nor did they agree that the feedback on their work helped them clarify things that they did not understand (HEFCE, 2008). Computer Science and Engineering & Technology have been amongst the poorest performers in this aspect as they ranked in the lower quartile (Surridge, 2007, p.32). Five years since the first NSS survey, assessment and feedback remains the biggest concern. Dissatisfaction in any aspect of studies demotivates students and can lead to disengagement and attrition. As the student number grows, the situation can only get worse if nothing is done about it. We have conducted a survey to investigate views on assessment and feedback from Engineering, Mathematics and Computing students. The survey aims at investigating the core issues of dissatisfaction in assessment and feedback and ways in which UK Engineering students can learn better through helpful feedback. The study focuses on collecting students' experiences with feedback received in their coursework, assignments and quizzes in Computing Science modules. The survey reveals the role of feedback in their learning. The results of the survey help to identify the forms of feedback that are considered to be helpful in learning and the time frame for timely feedback. We report on the findings of the survey. We also explore ways to improve assessment and feedback in a bid to better engage engineering students in their studies.

Minimum description length, regularisation and multi-modal data

Relationships between clustering, description length, and regularisation are pointed out, motivating the introduction of a cost function with a description length interpretation and the unusual and useful property of having its minimum approximated by the densest mode of a distribution. A simple inverse kinematics example is used to demonstrate that this property can be used to select and learn one branch of a multi-valued mapping. This property is also used to develop a method for setting regularisation parameters according to the scale on which structure is exhibited in the training data. The regularisation technique is demonstrated on two real data sets, a classification problem and a regression problem.

An account of the sustainable development process in Bangladesh

With the accelerating industrialization process, even further increasing population and mass deforestation, ‘sustainability’ as a concept has only recently been popularized in Bangladesh. This paper sheds light on the sustainable development process in Bangladesh. It points out the major challenges to this process and identifies the motivating factors for a sustainable society in Bangladesh. The paper concludes with some strategies that are considered essential for the development of a sustainable society in Bangladesh, e.g., strong and effective regulatory framework, emphasis on rural entrepreneurship, development of indigenous technology and an integrated environmental management system.

Foreign direct investment, technology sourcing and reverse spillovers

Recent theoretical work points to the possibility of foreign direct investment motivated not by 'ownership' advantages which may be exploited by a multinational enterprise but by the desire to access the superior technology of a host nation through direct investment. To be successful, technology sourcing foreign direct investment hinges crucially on the existence of domestic-to-foreign technological externalities within the host country. We test empirically for the existence of such 'reverse spillover' effects for a panel of UK manufacturing industries. The results demonstrate that technology generated by the domestic sector spills over to foreign multinational enterprises, but that this effect is restricted to relatively research and development intensive sectors. There is also evidence that these spillover effects are affected by the spatial concentration of industry, and that learning-by-doing effects are restricted to sectors in which technology sourcing is unlikely to be a motivating influence.

The lateral and ventromedial prefrontal cortex work as a dynamic integrated system:evidence from FMRI connectivity analysis

Recent functional magnetic resonance imaging (fMRI) investigations of the interaction between cognition and reward processing have found that the lateral prefrontal cortex (PFC) areas are preferentially activated to both increasing cognitive demand and reward level. Conversely, ventromedial PFC (VMPFC) areas show decreased activation to the same conditions, indicating a possible reciprocal relationship between cognitive and emotional processing regions. We report an fMRI study of a rewarded working memory task, in which we further explore how the relationship between reward and cognitive processing is mediated. We not only assess the integrity of reciprocal neural connections between the lateral PFC and VMPFC brain regions in different experimental contexts but also test whether additional cortical and subcortical regions influence this relationship. Psychophysiological interaction analyses were used as a measure of functional connectivity in order to characterize the influence of both cognitive and motivational variables on connectivity between the lateral PFC and the VMPFC. Psychophysiological interactions revealed negative functional connectivity between the lateral PFC and the VMPFC in the context of high memory load, and high memory load in tandem with a highly motivating context, but not in the context of reward alone. Physiophysiological interactions further indicated that the dorsal anterior cingulate and the caudate nucleus modulate this pathway. These findings provide evidence for a dynamic interplay between lateral PFC and VMPFC regions and are consistent with an emotional gating role for the VMPFC during cognitively demanding tasks. Our findings also support neuropsychological theories of mood disorders, which have long emphasized a dysfunctional relationship between emotion/motivational and cognitive processes in depression.

Symptoms of hyperactivity and inattention can mediate deficits of postural stability in developmental dyslexia

DDevelopmental dyslexia is a reading disorder associated with impaired postural control. However, such deficits are also found in attention deficit hyperactivity disorder (ADHD), which is present in a substantial subset of dyslexia diagnoses. Very few studies of balance in dyslexia have assessed ADHD symptoms, thereby motivating the hypothesis that such measures can account for the group differences observed. In this study, we assessed adults with dyslexia and similarly aged controls on a battery of cognitive, literacy and attention measures, alongside tasks of postural stability. Displacements of centre of mass to perturbations of posture were measured in four experimental conditions using digital optical motion capture. The largest group differences were obtained in conditions where cues to the support surface were reduced. Between-group differences in postural sway and in sway variability were largely accounted for by co-varying hyperactivity and inattention ratings, however. These results therefore suggest that postural instability in dyslexia is more strongly associated with symptoms of ADHD than to those specific to reading impairment.

Institutions and firm ownership structure:evidence from Central and Eastern Europe

FDI plays a key role in development, particularly in resource-constrained transition economies of Central and Eastern Europe with relatively low savings rates. Gains from technology transfer play a critical role in motivating FDI, yet potential for it may be hampered by a large technology gap between the source and host country. While the extent of this gap has traditionally been attributed to education, skills and capital intensity, recent literature has also emphasized the possible role of institutional environment in this respect. Despite tremendous interest among policy-makers and academics to understand the factors attracting FDI (Bevan and Estrin, 2000; Globerman and Shapiro, 2003) our knowledge about the effects of institutions on the location choice and ownership structure of foreign firms remains limited. This paper attempts to fill this gap in the literature by examining the link between institutions and foreign ownership structures. To the best of our knowledge, Javorcik (2004) is the only papers, which use firm-level data to analyse the role of institutional quality on an outward investor’s entry mode in transition countries. Our paper extends Javorcik (2004) in a number of ways: (a) rather than a cross-section, we use panel data for the period 1997-2006; (b) rather than a binary variable, we use the percentage foreign ownership as continuous variable; (c) we consider multi-dimensional institutional variables, such as corruption, intellectual property rights protection and government stability. We also use factor analysis to generate a composite index of institutional quality and see how stronger institutional environment could affect foreign ownership; (d) we explore how the distance between institutional environment in source and host countries affect foreign ownership in a host country. The firm-level data used includes both domestic and foreign firms for the period 1997-2006 and is drawn from ORBIS, a commercially available dataset provided by Bureau van Dijk. In order to examine the link between institutions and foreign ownership structures, we estimate four log-linear ownership equations/specifications augmented by institutional and other control variables. We find evidence that the decision of a foreign firm to either locate its subsidiary or acquire an existing domestic firm depends not only on factor cost differences but also on differences in institutional environment between the host and source countries.

A type system with usage aspects

Linear typing schemes can be used to guarantee non-interference and so the soundness of in-place update with respect to a functional semantics. But linear schemes are restrictive in practice, and more restrictive than necessary to guarantee soundness of in-place update. This limitation has prompted research into static analysis and more sophisticated typing disciplines to determine when in-place update may be safely used, or to combine linear and non-linear schemes. Here we contribute to this direction by defining a new typing scheme that better approximates the semantic property of soundness of in-place update for a functional semantics. We begin from the observation that some data are used only in a read-only context, after which it may be safely re-used before being destroyed. Formalising the in-place update interpretation in a machine model semantics allows us to refine this observation, motivating three usage aspects apparent from the semantics that are used to annotate function argument types. The aspects are (1) used destructively, (2), used read-only but shared with result, and (3) used read-only and not shared with the result. The main novelty is aspect (2), which allows a linear value to be safely read and even aliased with a result of a function without being consumed. This novelty makes our type system more expressive than previous systems for functional languages in the literature. The system remains simple and intuitive, but it enjoys a strong soundness property whose proof is non-trivial. Moreover, our analysis features principal types and feasible type reconstruction, as shown in M. Konen'y (In TYPES 2002 workshop, Nijmegen, Proceedings, Springer-Verlag, 2003).

An advanced real-time predictive maintenance framework for large scale machine systems

This thesis introduces and develops a novel real-time predictive maintenance system to estimate the machine system parameters using the motion current signature. Recently, motion current signature analysis has been addressed as an alternative to the use of sensors for monitoring internal faults of a motor. A maintenance system based upon the analysis of motion current signature avoids the need for the implementation and maintenance of expensive motion sensing technology. By developing nonlinear dynamical analysis for motion current signature, the research described in this thesis implements a novel real-time predictive maintenance system for current and future manufacturing machine systems. A crucial concept underpinning this project is that the motion current signature contains infor­mation relating to the machine system parameters and that this information can be extracted using nonlinear mapping techniques, such as neural networks. Towards this end, a proof of con­cept procedure is performed, which substantiates this concept. A simulation model, TuneLearn, is developed to simulate the large amount of training data required by the neural network ap­proach. Statistical validation and verification of the model is performed to ascertain confidence in the simulated motion current signature. Validation experiment concludes that, although, the simulation model generates a good macro-dynamical mapping of the motion current signature, it fails to accurately map the micro-dynamical structure due to the lack of knowledge regarding performance of higher order and nonlinear factors, such as backlash and compliance. Failure of the simulation model to determine the micro-dynamical structure suggests the pres­ence of nonlinearity in the motion current signature. This motivated us to perform surrogate data testing for nonlinearity in the motion current signature. Results confirm the presence of nonlinearity in the motion current signature, thereby, motivating the use of nonlinear tech­niques for further analysis. Outcomes of the experiment show that nonlinear noise reduction combined with the linear reverse algorithm offers precise machine system parameter estimation using the motion current signature for the implementation of the real-time predictive maintenance system. Finally, a linear reverse algorithm, BJEST, is developed and applied to the motion current signature to estimate the machine system parameters.

A heat metering system for energy management on an industrial site

Faced with a future of rising energy costs there is a need for industry to manage energy more carefully in order to meet its economic objectives. A problem besetting the growth of energy conservation in the UK is that a large proportion of energy consumption is used in a low intensive manner in organisations where they would be responsibility for energy efficiency is spread over a large number of personnel who each see only small energy costs. In relation to this problem in the non-energy intensive industrial sector, an application of an energy management technique known as monitoring and targeting (M & T) has been installed at the Whetstone site of the General Electric Company Limited in an attempt to prove it as a means for motivating line management and personnel to save energy. The objective energy saving for which the M & T was devised is very specific. During early energy conservation work at the site there had been a change from continuous to intermittent heating but the maintenance of the strategy was receiving a poor level of commitment from line management and performance was some 5% - 10% less than expected. The M & T is concerned therefore with heat for space heating for which a heat metering system was required. Metering of the site high pressure hot water system posed technical difficulties and expenditure was also limited. This led to a ‘tin-house' design being installed for a price less than the commercial equivalent. The timespan of work to achieve an operational heat metering system was 3 years which meant that energy saving results from the scheme were not observed during the study. If successful the replication potential is the larger non energy intensive sites from which some 30 PT savings could be expected in the UK.

Causality in crude oil prices

Economic media inform on prices of three well established crude oil benchmarks: Brent, WTI and Dubai Fateh. The relevance of these is however declining with their low output - motivating investigation of the pricing dynamics. We apply Granger causality tests to study the price dependencies of 32 crude oils. The aim is to establish what crudes are setting the prices and what crudes are just following the general market trends. The investigation is performed globally as well as for different quality, geographical and organisational segments. The results indicate that crude oil price analysts should follow at least four different crudes that are good price indicators. WTI and Brent still lead the market, but they are not the only crude prices worth paying attention to. In particular, Russian Urals drives global prices in a significant way, and Iran Seri Kerir is a significant price setter within OPEC. Dubai Fateh does not display any significant influence as a price setter, which confirms the lack of dominant benchmark within the segment of medium quality crudes.

Benefits from competition:some illustrative UK cases

This study provides a powerful demonstration of the real world impact of increasedcompetition. By presenting six market case studies drawn from a variety of sectors itgives evidence of the type and magnitude of the benefits following marketinterventions to develop competition and free up the operation of these sectors. In discussing the types and form such interventions take, whether competition policy,deregulation or liberalisation, this report explores market conditions before and afterintervention, paying careful attention to both the envisaged benefits and the potentialfor negative side effects. Overall, the evidence suggests these benefits materialised,and in a number of instances proved more sizeable than anticipated. Concerns aboutharmful side effects have proved unfounded, with market stimuli impacting not only onthe price and range of goods available but also acting as a motivating force to productand process innovation. As Professor Davies points out, although active competition policy proves an importantcomponent in the competitive process, it is not sufficient in its own right. In order todeliver greater productivity, of which competition is a key driver, the UK needs a pool of resourceful entrepreneurs able to exploit changing market conditions. In order togive these people the best chance of success the framework conditions need to becorrect with strength in the complementary capabilities of innovation, investment, skillsand enterprise. Ensuring the competition framework is world class is central to the DTI’s strategy. The most recent peer review of the UK competition regime demonstrates that the UK isa strong performer, ranked third in the 2004 study, with the US first and Germanysecond. This study provides further evidence of the important role played by thatframework in delivering tangible benefits to consumers.

Crazy animals and other activities for teaching young learners

This is a book for primary school teachers of English written by primary school teachers of English. It brings together the experience and expertise of teachers from around the world to provide a range of stimulating and exciting classroom activities for the primary classroom. There are 50 tried and trusted activities which have been refined and improved over the years by teachers working in diverse contexts and environments. Children will enjoy practising their English through these stimulating and motivating activities. Over 1 000 teachers were contacted and asked to send their favourite activities for teaching English to young learners. The most original and creative activities received were selected for this book. This book grew out of an Aston University - British Council research project called ‘Investigating Global Practices in Teaching English to Young Learners’.