Acculturation and Global Mindsponge

Much research on acculturation around global experiences has focused on the “type” of overseas experience—e.g. expatriate, repatriate, inpatriate, flexpatriate. The experiences of people in those categories and across various demographics (single/married/divorced; gender; sexual orientation) can differ dramatically. In addition, given the explosion of people working in global business, some global business citizens could well fit into several of those various types of experiences over the course of their careers. In this paper, we propose to push in a somewhat different direction and explore something that for us would be quite new. Rather than focusing on the various categories and their resulting experiences, we take a step back to consider what attributes and ways of thinking a global citizen may need to become better as a global business citizen, regardless of type of experience. The question is less one of “Who am I” than “How can I become better?”. Essentially, we would like to explore what might be required in moving the global citizen from thinking about “global mindset” to “global mindsponge.” When we hear the term mindset, we think of a certain way of thinking that stays rather fixed. So part of the challenge of the paper will be to define and examine what mindsponge might mean in the global context—what does it take to unlearn or squeeze out certain ways of thinking or behaving before absorbing and reshaping new ways of thinking and behaving? Moreover, how might that become part of a natural and regular way of operating, especially in a rapidly changing developing country like Vietnam, in particular? At this early stage, we think of mind sponge as a mechanism that encourages flexibility and receptiveness through a process of using multiple filters and more focus on creativity, or doing things differently to improve an organization or individual performance. Our goal is to develop a basic conceptual framework for “mindsponge,” drawing upon a broad literature review as well as several unstructured interviews, to assess whether the idea of mindsponge helps people perceive that they are more culturally versatile and culturally mobile, regardless of whether they work in or outside of their “home environment.” We hope this would enhance their ability to shape an emerging set of cultural values that erases the divide between “foreign” and “local” cultural differences that so often dominates in emerging economies.

New business models for antibiotic innovation.

The increase in antibiotic resistance and the dearth of novel antibiotics have become a growing concern among policy-makers. A combination of financial, scientific, and regulatory challenges poses barriers to antibiotic innovation. However, each of these three challenges provides an opportunity to develop pathways for new business models to bring novel antibiotics to market. Pull-incentives that pay for the outputs of research and development (R&D) and push-incentives that pay for the inputs of R&D can be used to increase innovation for antibiotics. Financial incentives might be structured to promote delinkage of a company's return on investment from revenues of antibiotics. This delinkage strategy might not only increase innovation, but also reinforce rational use of antibiotics. Regulatory approval, however, should not and need not compromise safety and efficacy standards to bring antibiotics with novel mechanisms of action to market. Instead regulatory agencies could encourage development of companion diagnostics, test antibiotic combinations in parallel, and pool and make transparent clinical trial data to lower R&D costs. A tax on non-human use of antibiotics might also create a disincentive for non-therapeutic use of these drugs. Finally, the new business model for antibiotic innovation should apply the 3Rs strategy for encouraging collaborative approaches to R&D in innovating novel antibiotics: sharing resources, risks, and rewards.

DISSIMILAR CONTEMPORARIES: SELECTED PIANO MUSIC OF SERGEI RACHMANINOFF AND SERGEI PROKOFIEV

Virtual contemporaries, Sergei Rachmaninoff and Sergei Prokofiev were pianists, steeped in the traditions of Russian pianism; recordings of both pianists-composers playing their own works are available. Although the composers can be perceived as having little in common, in fact both composed in classical forms, both had a strong lyrical sense and both had an unbreakable connection with their Russian heritage. Rachmaninoff was the last great representative of Russian late Romanticism as well as one of the finest pianists of his generation. He cultivated a sweepingly passionate and melodious idiom, with pronounced lyrical quality, expressive breath and structural ingenuity. Prokofiev, on the other hand, tried to push the Russian Romantic traditions to a point of exacerbation and caricature before experimenting with various kinds of modernism. Stressing simplicity, he helped invent Neo-Classicism. His melodies are essentially tonal with wide skips and sweeping long lines. Harmonically, he used triadic harmony full of dissonances, strange inversions, unusual spacings, and jarring juxtapositions. Writing in classical forms, he incorporated rhythmic vitality and lyrical elements into his music. I have chosen to perform five works by each composer, written in a variety of genres, including the sonata, the toccata, variations, the concerto. I also have divided the pieces into three recital programs to show the idiosyncratic characteristics of the composers. I have endeavored to select pieces based on the technical and artistic challenges that they offer, thereby allowing me to grow as a pianist and an artist. My goal is to gain a thorough understanding of not only the pieces but also the musical styles of both composers.

Feature-oriented grid topology design for aerospace configurations

The last few years have seen a substantial increase in the geometric complexity for 3D flow simulation. In this paper we describe the challenges in generating computation grids for 3D aerospace configuations and demonstrate the progress made to eventually achieve a push button technology for CAD to visualized flow. Special emphasis is given to the interfacing from the grid generator to the flow solver by semi-automatic generation of boundary conditions during the grid generation process. In this regard, once a grid has been generated, push button technology of most commercial flow solvers has been achieved. This will be demonstrated by the ad hoc simulation for the Hopper configuration.

Components of error of maps from remotely sensed images

The concept of a “true” ground-truth map is introduced, from which the inaccuracy/error of any production map may be measured. A partition of the mapped region is defined in terms of the “residual rectification” transformation. Geometric RMS-type and Geometric Distortion error criteria are defined as well as a map mis-classification error criterion (the latter for hard and fuzzy produc-tion maps). The total map error is defined to be the sum (over each set of the map partition men-tioned above) of these three error components integrated over each set of the partition.

Maximising heat transfer efficiency in the cold crucible induction melting process

Induction heating is an efficient method used to melt electrically conductive materials, particularly if melting takes place in a ceramic crucible. This form of melting is particularly good for alloys, as electromagnetic forces set up by the induction coil lead to vigorous stirring of the melt ensuring homogeneity and uniformity in temperature. However, for certain reactive alloys, or where high purity is required, ceramic crucibles cannot be used, but a water-cooled segmented copper crucible is employed instead. Water cooling prevents meltdown or distortion of the metal wall, but much of the energy goes into the coolant. To reduce this loss, the electromagnetic force generated by the coil is used to push the melt away from the walls and so minimise contact with water-cooled surfaces. Even then, heat is lost through the crucible base where contact is inevitable. In a collaborative programme between Greenwich and Birmingham Universities, computer modelling has been used in conjunction with experiments to improve the superheat attainable in the melt for a,number of alloys, especially for y-TiAl intermetallics to cast aeroengine turbine blades. The model solves the discretised form of the turbulent Navier-Stokes, thermal energy conservation and Maxwell equations using a Spectral Collocation technique. The time-varying melt envelope is followed explicitly during the computation using an adaptive mesh. This paper briefly describes the mathematical model used to represent the interaction between the magnetic field, fluid flow, heat transfer and change of phase in the crucible and identifies the proportions of energy used in the melt, lost in the crucible base and in the crucible walls. The role of turbulence is highlighted as important in controlling heat losses and turbulence damping is introduced as a means of improving superheat. Model validation is against experimental results and shows good agreement with measured temperatures and energy losses in the cooling fluid throughout the melting cycle.

Roy Williams: representing multicultural Britain in Fallout

This article considers how Roy Williams's 2003 play, which dramatises a black-on-black killing and the flawed police investigation which follows, represents contemporary British society, particularly in relation to the vexed question of multiculturalism. Some have described "Fallout" as limited and bleak, reinforcing stereotypes of black experience and identity. By contrast, this article demonstrates that the play, through its analysis of both a conflicted police service and the societal divisions that push black youths towards criminality, draws attention to the underlying systemic causes of inner city violence and makes a constructive and valuable contribution to ongoing public debate. [ABSTRACT FROM AUTHOR]

Composite front maps for improved visibility of dynamic sea-surface features on cloudy SeaWiFS and AVHRR data

Novel techniques have been developed for increasing the value of cloud-affected sequences of Advanced Very High Resolution Radiometer (AVHRR) sea-surface temperature (SST) data and Sea-viewing Wide Field-of-view Sensor (SeaWiFS) ocean colour data for visualising dynamic physical and biological oceanic processes such as fronts, eddies and blooms. The proposed composite front map approach is to combine the location, strength and persistence of all fronts observed over several days into a single map, which allows intuitive interpretation of mesoscale structures. This method achieves a synoptic view without blurring dynamic features, an inherent problem with conventional time-averaging compositing methods. Objective validation confirms a significant improvement in feature visibility on composite maps compared to individual front maps. A further novel aspect is the automated detection of ocean colour fronts, correctly locating 96% of chlorophyll fronts in a test data set. A sizeable data set of 13,000 AVHRR and 1200 SeaWiFS scenes automatically processed using this technique is applied to the study of dynamic processes off the Iberian Peninsula such as mesoscale eddy generation, and many additional applications are identified. Front map animations provide a unique insight into the evolution of upwelling and eddies.

Interplay between proton ordering and ferroelectric polarization in H-bonded KDP-type crystals

The origin of ferroelectricity in KH2PO4 (KDP) is studied by first-principles electronic structure calculations. In the low-temperature phase, the collective off-centre ordering of the protons is accompanied by an electronic charge delocalization from the near and localization at the far oxygen within the O-H...O bonds. Electrostatic forces. then, push the K+ ions towards off-centre positions, and induce a macroscopic polarization. The analysis of the correlation between different geometrical and electronic quantities, in connection with experimental data. supports the idea that the role of tunnelling in isotopic effects is irrelevant. Instead, geometrical quantum effects appear to play a central role. (C) 2001 Elsevier Science B.V. All rights reserved.

Determining factors of the innovative behavior of cooperatives: an analysis of the case of Castilla y León

Cooperatives have a long historical experience in the Spanish economy and have demonstrated their ability to compete against traditional firms in the market. To maintain this capability, while taking advantage of the competitive advantages associated with their idiosyncrasies as social economy enterprises, they should take into consideration that the economy is increasingly globalized and increasingly knowledge-based, especially with regards to technological content. As a consequence, the innovative capacity appears to be a key aspect in order to be able to challenge competitors. This article characterizes the innovative behavior of cooperatives in the region of Castile and Leon and analyses the internal and external factors affecting their innovative performance, based on data from a survey of 581 cooperatives. The results of the empirical analysis, which is performed by multivariate binary logistic regression on various types of innovation, lead us to identify the size of the organizations, the existence of planning, the R & D activities and the human capital as the main determining factors.

Estimating the Heading of a Husky Mobile Robot with a LiDAR Compass based on Direction Maps

Without an absolute position sensor (e.g., GPS), an accurate heading estimate is necessary for proper localization of an autonomous unmanned vehicle or robot. This paper introduces direction maps (DMs), which represent the directions of only dominant surfaces of the vehicle’s environment and can be created with negligible effort. Given an environment with reoccurring surface directions (e.g., walls, buildings, parked cars), lines extracted from laser scans can be matched with a DM to provide an extremely lightweight heading estimate that is shown, through experimentation, to drastically reduce the growth of heading errors. The algorithm was tested using a Husky A200 mobile robot in a warehouse environment over traverses hundreds of metres in length. When a simple a priori DM was provided, the resulting heading estimation showed virtually no error growth.