183 research outputs found

    A role for CITED2, a CBP/p300 interacting protein, in colon cancer cell invasion

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    Peer Reviewedhttp://deepblue.lib.umich.edu/bitstream/2027.42/116311/1/feb2s0014579307012264.pd

    Cooperative network analysis of patent holders in the field of OLED technology

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    With the continuous development of science and technology, the number of patents continues to increase. At the same time, patent cooperation is more normal. It is particularly important to analyze the cooperation relationship among patent holders. The application of social network analysis methods solves this problem. OLED tends to gradually replace LCD. South Korea's Samsung and LG hold the majority of patents in the OLED field. How to break through has become a problem faced by Chinese companies. This paper uses the degree centrality, betweenness centrality and closeness centrality in the social network analysis method, and uses the data visualization tool Ucinet to systematically analyze the OLED technology patents from the Derwent Innovation Index. The results show that there is a clear trend of cooperation among patent holders in the OLED technology field. China's OLED enterprises should speed up the industrial chain layout, increase relevant R&D investment, and improve the R&D intensity of core technologies

    Effects of temperature on photosynthetic performance and nitrate reductase activity in vivo assay in Gracilariopsis lemaneiformis (Rhodophyta)

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    Gracilariopsis lemaneiformis is an economically-valued species and widely cultured in China at present. After being acclimated to different growth temperatures (15, 20, 25, and 30 degrees C) for 7 days, the relative growth rate (RGR), nitrate reductase activity, soluble protein content and chlorophyll a fluorescence of G. lemaneiformis were examined. Results show that RGR was markedly affected by temperature especially at 20 degrees C at which G. lemaneiformis exhibited the highest effective quantum yield of PSII [Y(II)] and light-saturated electron transport rate (ETRmax), but the lowest non-photochemical quenching. Irrespective of growth temperature, the nitrate reductase activity increased with the incubation temperature from 15 to 30 degrees C. In addition, the greatest nitrate reductase activity was found in the thalli grown at 20 degrees C. The value of temperature coefficient Q10 of alga cultured in 15 degrees C was the greatest among those of other temperatures tested. Results indicate that the optimum temperature for nitrate reductase synthesis was relatively lower than that for nitrate reductase activity, and the relationship among growth, photosynthesis, and nitrate reductase activity showed that the optimum temperature for activity of nitrate reductase in vivo assay should be the same to the optimal growth temperature

    Characterization of U-shape streamline fibers: Methods and applications

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    Diffusion tensor imaging (DTI), high angular resolution diffusion imaging (HARDI), and Diffusion Spectrum Imaging (DSI) have been widely used in the neuroimaging field to examine the macro-scale fiber connection patterns in the cerebral cortex. However, the topographic and geometric relationships between diffusion imaging derived streamline fiber connection patterns and cortical folding patterns remain largely unknown. This paper specifically identifies and characterizes the U-shapes of diffusion imaging derived streamline fibers via a novel fiber clustering framework and examines their co-localization patterns with cortical sulci based on DTI, HARDI, and DSI datasets of human, chimpanzee and macaque brains. We verified the presence of these U-shaped streamline fibers that connect neighboring gyri by coursing around cortical sulci such as the central sulcus, pre-central sulcus, post-central sulcus, superior temporal sulcus, inferior frontal sulcus, and intra-parietal sulcus. This study also verified the existence of U-shape fibers across data modalities (DTI/HARDI/DSI) and primate species (macaque, chimpanzee and human), and suggests that the common pattern of U-shape fibers coursing around sulci is evolutionarily-preserved in cortical architectures

    Genetic mapping and evolutionary analysis of human-expanded cognitive networks

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    Cognitive brain networks such as the default-mode network (DMN), frontoparietal network, and salience network, are key functional networks of the human brain. Here we show that the rapid evolutionary cortical expansion of cognitive networks in the human brain, and most pronounced the DMN, runs parallel with high expression of human-accelerated genes (HAR genes). Using comparative transcriptomics analysis, we present that HAR genes are differentially more expressed in higher-order cognitive networks in humans compared to chimpanzees and macaques and that genes with high expression in the DMN are involved in synapse and dendrite formation. Moreover, HAR and DMN genes show significant associations with individual variations in DMN functional activity, intelligence, sociability, and mental conditions such as schizophrenia and autism. Our results suggest that the expansion of higher-order functional networks subserving increasing cognitive properties has been an important locus of genetic changes in recent human brain evolution

    Chimpanzee (Pan troglodytes) Precentral Corticospinal System Asymmetry and Handedness: A Diffusion Magnetic Resonance Imaging Study

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    Most humans are right handed, and most humans exhibit left-right asymmetries of the precentral corticospinal system. Recent studies indicate that chimpanzees also show a population-level right-handed bias, although it is less strong than in humans.We used in vivo diffusion-weighted and T1-weighted magnetic resonance imaging (MRI) to study the relationship between the corticospinal tract (CST) and handedness in 36 adult female chimpanzees. Chimpanzees exhibited a hemispheric bias in fractional anisotropy (FA, left>right) and mean diffusivity (MD, right>left) of the CST, and the left CST was centered more posteriorly than the right. Handedness correlated with central sulcus depth, but not with FA or MD.These anatomical results are qualitatively similar to those reported in humans, despite the differences in handedness. The existence of a left>right FA, right>left MD bias in the corticospinal tract that does not correlate with handedness, a result also reported in some human studies, suggests that at least some of the structural asymmetries of the corticospinal system are not exclusively related to laterality of hand preference

    Axonal Fiber Terminations Concentrate on Gyri

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    Convoluted cortical folding and neuronal wiring are 2 prominent attributes of the mammalian brain. However, the macroscale intrinsic relationship between these 2 general cross-species attributes, as well as the underlying principles that sculpt the architecture of the cerebral cortex, remains unclear. Here, we show that the axonal fibers connected to gyri are significantly denser than those connected to sulci. In human, chimpanzee, and macaque brains, a dominant fraction of axonal fibers were found to be connected to the gyri. This finding has been replicated in a range of mammalian brains via diffusion tensor imaging and high–angular resolution diffusion imaging. These results may have shed some lights on fundamental mechanisms for development and organization of the cerebral cortex, suggesting that axonal pushing is a mechanism of cortical folding

    Improving the Visual Perception of Heavy Duty Manipulators in Challenging Scenarios

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    Robotic vision is a subfield of computer vision intended to provide robots with the capability to visually perceive the surrounding environment. For example, a robotic manipulator leverages its visual perception system to gather visual data through cameras and other sensors, then uses that input to recognize different objects in order to safely perform an autonomous operation. However, in many robotics applications, robots have to face a cluttered and dynamic scene, where classic computer vision algorithms show the limitation of tackling the environmental uncertainty. Such scene understanding requires a fusion of traditional and modern approaches involving classic computer vision, machine learning and deep learning methods. This thesis examines visual perception challenges in remote handling and the mining industry. It begins with two research questions: Can the robustness of targetobject pose estimation be improved in challenging real-world, heavy-duty robotic scenarios? Can fast detection and localization for objects be obtained without prior known geometry in a scenario with piles of overlapping objects? Six publications cover the methods from algorithm design to system-level integration used to solve real-world problems. In the ITER fusion reactor, the operator teleoperates a robotic manipulator to perform maintenance tasks amidst a high level of noise and erosion. The operator cannot fully rely on the virtual reality (VR) system, which may not reflect the current scene accurately, as physical conditions may have changed in the harsh environment. Meanwhile, every operation inside the reactor requires robust, millimeterlevel accuracy. This thesis analyzes research questions and presents a novel edgepoint iterative closest point (ICP) method as a solution for target-object detection, tracking and pose estimation. Using the knuckle of a divertor cassette as an example, the overall accuracy of the developed visual system meets ITER requirements, and the conducted experiments with the manipulator demonstrated the efficiency of the method. Smartbooms2 is a project in the mining industry that requires a heavy manipulator with a hydraulic hammer to autonomously break rocks in a cluttered outdoor environment. Based on the output data of the three-dimensional (3D) sensors, several solutions are proposed. Examining a popular time-of-flight (TOF) sensor, this thesis explores state-of-the-art unsupervised machine learning methods and proposes a novel clustering method. Using an industrial stereo camera, this thesis proposes a novel 3D rock detection and localization pipeline. The results and system accuracy are detailed in published research papers

    Transcription factor ZBP-89 is required for STAT1 constitutive expression

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    IFNγ is a pro-inflammatory cytokine that potentiates p53-independent apoptosis in a variety of cell types. STAT1 is the primary mediator of IFNγ action. ZBP-89 is a transcription factor that binds to the G/C-rich elements and mediates p53-independent apoptosis. In this study, site-directed mutagenesis revealed that a G-rich element from +171 to +179 within the first intron of the STAT1 gene is critical for optimal STAT1 promoter activity. Electrophoretic mobility shift assays and promoter analysis revealed that ZBP-89 binds directly to this STAT1 G-rich element along with Sp1 and Sp3. Reduction of ZBP-89 with siRNA attenuated both basal and IFNγ-induced STAT1 expression and subsequently diminished the activation of apoptotic markers, e.g. caspase-3 and PARP. Taken together, we conclude that ZBP-89 is required for constitutive STAT1 expression and in this way contributes to the ability of cells to be activated by IFNγ
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