1,003 research outputs found

    Connecting the Dots between Septins and the DNA Damage Checkpoint

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    In budding yeast, septins are involved in the morphogenesis checkpoint and the DNA damage checkpoint, both of which regulate cell-cycle progression. In this issue of Cell, Kremer et al. (2007) link septins to DNA damage in mammalian cells by identifying a new signaling pathway that includes the adaptors SOCS7 and NCK. As NCK controls actin dynamics, this pathway may connect DNA damage responses and cellular morphology in metazoans

    Study on Effective Inundation Analysis Method Considering Characteristics of Ground Elevation in Calculation Grid

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    Source: ICHE Conference Archive - https://mdi-de.baw.de/icheArchiv

    Approximate cutting pattern optimization of frame-supported and pneumatic membrane structures

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    A simple iterative method is presented for cutting pattern optimization of frame-supported and pneumatic membrane structures for minimizing the variation of stresses from the target values. The plane cutting sheet is generated by minimizing the error from the shape obtained by reducing the target stress from the desired curved shape of surface. The equilibrium shape is obtained using an energy approach to minimize of total strain energy under forced deformation at the boundary nodes. The external work done by the pressure is also incorporated for analysis of pneumatic membrane structures. An approximate method is also proposed to derive a discretized form for analysis of an ethylene tetrafluoroethylene (ETFE) film, where elasto-plastic behavior under monotonic loading condition is modeled as a nonlinear elastic material under monotonic loading condition. The proposed method is applied to examples of a frame-supported polyvinyl chloride membrane structure and an air pressured square ETFE film

    Multi-pooling 3D Convolutional Neural Network for fMRI Classification of Visual Brain States

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    Neural decoding of visual object classification via functional magnetic resonance imaging (fMRI) data is challenging and is vital to understand underlying brain mechanisms. This paper proposed a multi-pooling 3D convolutional neural network (MP3DCNN) to improve fMRI classification accuracy. MP3DCNN is mainly composed of a three-layer 3DCNN, where the first and second layers of 3D convolutions each have a branch of pooling connection. The results showed that this model can improve the classification accuracy for categorical (face vs. object), face sub-categorical (male face vs. female face), and object sub-categorical (natural object vs. artificial object) classifications from 1.684% to 14.918% over the previous study in decoding brain mechanisms

    Effects of doping elements in ¢-FeSi2 prepared utilizing cast iron scrap chips

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    In this work, the thermoelectric properties of p- and n-type ¢-FeSi2, prepared utilizing cast iron scrap chips, have been characterized by measuring the Seebeck coefficient, electrical conductivity and thermal conductivity at temperatures ranging from room temperatures to 800°C. In a previous study, the upgrade recycling of cast iron scrap chips into ¢-FeSi2 thermoelectric materials was proposed as an eco-friendly and costeffective production process. By doping with different substitution concentrations of Co, Mn and Al, the conduction type and properties of ¢FeSi2 can be modified and improved using cast iron scrap chips as a starting material. The effects of the doping elements are discussed for preparing ¢-FeSi2 utilizing cast iron scrap chips. Cast iron scrap chips could be preferable as a starting material to replace pure Fe for n- and ptype ¢-FeSi2 thermoelectric materials. An optimum composition for n-type ¢-FeSi2 0.94C.I.-0.06Co-1.86Si shows that the largest ZT value of 0.22 occurs at 700°C, whereas for p-type ¢-FeSi2 0.92C.I.-0.08Mn-1.86Si, the largest ZT value of 0.17 occurs at 800°C

    Study on the Transport Characteristics of Floating Garbage in Hori River

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    Source: ICHE Conference Archive - https://mdi-de.baw.de/icheArchiv

    Electromagnetic Simulation for THz Antenna-Coupled Microbolometers Operated at Room Temperature

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    Room-temperature terahertz (THz) detectors with higher performance are necessary for utilizing the THz wave in various sensing, spectroscopy and imaging, but even the best ones in the present are still insufficient for the practical applications. This issue is essential especially in the region around 1 THz at which there exists a large technology gap between microwave and middle-infrared. Therefore, we study to develop an antenna-coupled microbolometer to achieve a high-performance THz detector operated at a room-temperature for sensing at around 1 THz frequency wave. In this paper, we present several important features and results obtained from electromagnetic simulations, which help to design a structure of the antenna and heater to absorb efficiently the power of THz wave
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