Since industrialization, both beauty and refinement have been highlighted in many consumer markets, including home decoration, clothing, and fine foods and beverages. Consumers whose habitus resonates with these markets often formulate the goal of developing aesthetic expertise in them; they learn complex systems of taste evaluation to judge their aesthetic experiences. Extant research shows these systems’ effects on many aspects of consumer behavior, from information search and memory to strategies for participating in status games. This study extends consumer research by illuminating how these taste evaluation systems are constituted in consumers, after habitus has instilled generic dispositions in them. The multimethod ethnography studies US middle-class, male craft beer aficionados seeking to become connoisseurs. This work makes two main contributions to consumer research. First, it places the often-neglected world of the senses at the center of taste theorizing. It details three learning practices (benchmarking, autodidactics, and scaffolding) that consumers use to bind together the sensory and discursive dimensions of social practices. Second, it reveals interconsumer cooperation as a key mechanism in building consensus on social practices that involve ambiguous aesthetic experiences. This theorization complements prior research on status competition as a dominant type of sociality in taste-centered consumption domains.

Firms often aim to develop markets as part of their long-term strategies. Conventionally, research in marketing has explained this complex process by stressing firms’ efforts to outdo their peers. While this emphasis is valuable, it overlooks the role of another major force in market evolution: collective action among peer firms. To address this oversight, this article conceptualizes “collaborative market driving,” defining it as the collective strategy in which peer firms consistently cooperate among themselves and with other actors to develop markets in ways that increase their overall competitiveness. This conceptualization includes the triggers that lead peer firms to mobilize for collective action and coalesce with other market actors; it also identifies how this coalition converts collective resources into market-driving power. These theoretical contributions, based on a multimethod analysis of the rise of U.S. craft breweries, offer an alternative course of action for firms interested in driving new markets when they lack adequate resources to do so individually.

To obtain high-resolution radionuclide lymphoscintigraphic images of affected limbs in persons with both symptomatic and asymptomatic filarial infection, 36 volunteers were recruited from a Wuchereria bancrofti-endemic area of Recife, Brazil, for a prospective, controlled analysis. Subjects were stratified after determination of serologic and clinical determinants of filarial infection status. Widespread lymphatic abnormalities were found in clinically asymptomatic microfilaremic persons, who had been assumed to have infection but not disease. All patients with clinical manifestations of lymphatic pathology and marked abnormalities. No correlation was found between clinical findings and actual lymphatic function as demonstrated by lymphoscintigraphy. The initial diagnosis of lymphatic filariasis, whether asymptomatic or symptomatic, is based on nonimaging laboratory criteria. After diagnosis, lymphoscintigraphy is a valuable tool for initial assessment of any lymphatic damage. Changes in strategies for therapeutic interventions in asymptomatic microfilaremic persons, who are not usually aggressively treated, may be warranted.

Handling the evolving permanent contact of deformable objects leads to a collision detection problem of high computing cost. Situations in which this type of contact happens are becoming more and more present with the increasing complexity of virtual human models, especially for the emerging medical applications. In this context, we propose a novel collision detection approach to deal with situations in which soft structures are in constant but dynamic contact, which is typical of 3D biological elements. Our method proceeds in two stages: First, in a preprocessing stage, a mesh is chosen under certain conditions as a reference mesh and is spherically sampled. In the collision detection stage, the resulting table is exploited for each vertex of the other mesh to obtain, in constant time, its signed distance to the fixed mesh. The two working hypotheses for this approach to succeed are typical of the deforming anatomical systems we target: First, the two meshes retain a layered configuration with respect to a central point and, second, the fixed mesh tangential deformation is bounded by the spherical sampling resolution. Within this context, the proposed approach can handle large relative displacements, reorientations, and deformations of the mobile mesh. We illustrate our method in comparison with other techniques on a biomechanical model of the human hip joint.

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Background-The development of modern surgical simulators is highly challenging as they must support complex simulation environments. The demand for higher realism in such simulators has driven researchers to adopt physics-based models which are computationally very demanding. This poses a major problem since real time interactions must permit graphical updates of 30 Hz and a much higher rate of 1 kHz for force feedback (haptics). Recently several physics engines have been developed which offer multi-physics simulation capabilities including rigid and deformable bodies, cloth and fluids. While such physics engines provide unique opportunities for the development of surgical simulators, their higher latencies, compared to what is necessary for real time graphics and haptics, offer significant barriers to their use in interactive simulation environments.Methods-In this work, we propose solutions to this problem and demonstrate how a multimodal surgical simulation environment may be developed based on NVIDIA's PhysX physics library. Hence, models that are undergoing relatively low frequency updates in PhysX can exist in an environment that demands much higher frequency updates for haptics. We use a collision handling layer to interface between the physical response provided by PhysX and the haptic rendering device to provide both real time tissue response and force feedback.Results-Our simulator integrates a bimanual haptic interface for force-feedback and per-pixel shaders for graphics realism in real time. To demonstrate the effectiveness of our approach, we present the simulation of the Laparoscopic Adjustable Gastric Banding (LAGB) procedure as a case study. Conclusions-To

Simulations of cuts on deformable bodies have been an active research subject for more than two decades. However, previous works based on finite element methods and mass spring meshes cannot scale to complex surgical scenarios. This article presents a novel method that uses position-based dynamics (PBD) for mesh-free cutting simulation. The proposed solutions include a method to efficiently render force feedback while cutting, an efficient heat diffusion model to simulate electrocautery, and a novel adaptive skinning scheme based on oriented particles.https://extras.computer.org/extra/mcg2017030024s1.mp4.

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