We assessed local cerebral glucose metabolism (lCMRGlc) and blood flow (lCBF) interrelationships in the first hour after parasagittal fluid-percussion head injury (FPI) in rats. Matched series were studied autoradiographically for lCMRGlc and lCBF with 2-[14C]deoxyglucose and 14C-labeled iodoantipyrine, respectively. Three-dimensional autoradiographic-image mapping was to generate average data sets from which a mean ICMRGlc-to-lCBF ratio data set was derived. lCBF in neocortical regions ipsilateral to the trauma were depressed, on average, by 44% compared with sham-FPI rats, whereas contralateral lCBF values were not altered. By contrast, ICMRGlc was elevated in many cortical and subcortical sites of both hemispheres; this amounted to 1.3- to 1.4-fold increases in neocortical regions in the thalamus and 1.6- to 1.7-fold increases in the hippocampus. The lCMRGlc-to-lCBF ratio data revealed striking elevations both ipsilateral (P = 7 x 10(-7) and contralateral to the FPI (P = 0.003). The extent of metabolism-flow uncoupling, on average, amounted to 2.5-fold in the ipsilateral hippocampus and neocortex and 1.7-fold contralaterally. The loci of pronounced metabolism-flow dissociation corresponded closely to the previously documented histological distribution of neuronal necrosis. Our findings resemble events occurring in the acute focal ischemic penumbra and suggest that similar injury mechanisms may be operative.
Figure 1: Realtime generation of physics-based motion control for human grasping: (left) automatic grasping of objects with different shapes, weights, frictions, and spatial orientations; (right) performance interfaces: acting out the desired grasping motion in front of a single Kinect.
AbstractThis paper presents a robust physics-based motion control system for realtime synthesis of human grasping. Given an object to be grasped, our system automatically computes physics-based motion control that advances the simulation to achieve realistic manipulation with the object. Our solution leverages prerecorded motion data and physics-based simulation for human grasping. We first introduce a data-driven synthesis algorithm that utilizes large sets of prerecorded motion data to generate realistic motions for human grasping. Next, we present an online physics-based motion control algorithm to transform the synthesized kinematic motion into a physically realistic one. In addition, we develop a performance interface for human grasping that allows the user to act out the desired grasping motion in front of a single Kinect camera. We demonstrate the power of our approach by generating physics-based motion control for grasping objects with different properties such as shapes, weights, spatial orientations, and frictions. We show our physics-based motion control for human grasping is robust to external perturbations and changes in physical quantities.
The combination of external new knowledge and organizational capability has become a cornerstone in the internationalized enterprises. Sources of knowledge acquisition are among the most valuable resources that an internationalized firm can achieve competitive advantage. This study aims to explore this phenomenon between knowledge sources and competitive advantage in the context of internationalized small and medium enterprises (SMEs) mainly by a quantitative approach. Based on contextual nature of resource–capability–competitive, absorptive capacity has long been a critical construct in organizational studies, as well as referring relational embeddedness as potential drivers of absorptive capacity, which is moderated by learning orientation. This study also investigates the mediating effect of absorptive capacity in terms of knowledge absorption and integration on international competitive advantage. To gain insights and provide essential implications for internationalized SMEs from the global economy, this study adopted purposive sampling to collect 211 valid responses. Via the partial least-squares structural modeling, the relationships among relational embeddedness, potential and realized absorptive capacity, and competitive advantage were measured. The results suggest that relational embeddedness positively influences potential and realized absorptive capacity with moderating effect of learning orientation. Potential and realized absorptive capacities have full mediating effect between relational embeddedness and competitive advantage. This study concludes insights and implications for research and practice.
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