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| 1 | Trust and distrust: New relationships and realities 显示文摘 | Roy J Lewicki Daniel J McAllister Robert J Bies | 1998 | Acad- emy of management review1998，23，3： | 1 |
| 2 | α-Galactosidase A Deficiency Accelerates Atherosclerosis in Mice With Apolipoprotein E Deficiency显示文摘 | Peter F. Bodary Yuechun Shen Fernando B. Vargas Xiaoming Bi Kristen A. Ostenso Shufang Gu James A. Shayman Daniel T. Eitzman | 2005 | Circulation2005，，5： | 1 |
| 3 | Trust and distrust:new relationships and realities显示文摘 | Lewicki Roy J McAllister Daniel J Bies Robert J | 1998 | Academy of Management Review1998，23，3： | 1 |
| 4 | Estimation of solids circulation rate and char transfer rate from gasifier to combustor in a dual fluidized-bed pilot plant for biomass steam gasification显示文摘Operation of a dual fluidized bed, consisting of a riser as combustor and bubbling bed as gasifier, for synthesis gas production from a solid fuel requires determination of the solids circulation rate and char transfer rate. The performance relies on supplying sufficient heat from the combustor to the gasifier by circulation of solids between these two reactors. The flow rate of char is required to track the heat generated in the combustor, which supports endothermic reactions in the gasifier. Direct measurement of these two critical parameters is difficult, with the number of reported techniques capable of working at high temperatures extremely small. An indirect method was developed, using mass and energy balances over the entire system and individual reactors, to estimate the solids circulation rate and char transfer rate. There was general agreement between heat losses estimated from energy-balance calculations and from direct measurement of the outer reactor surface temperature. Under typical gasification conditions, the solids circulation fluxes were estimated to be 45.2 and 55.6 kg/(m^2 s) in two independent tests, which were in good agreement with values obtained using a thermal tracer;char transfer rates were calculated to be 1.2 and 0.6 kg/h, which were in reasonable agreement with average biomass feed rates. This method can be applied to dual gasification systems at any temperature or flow rate. | M. Hafizur Rahman Lius Daniel Ujash Shah Xiaotao Bi John R. Grace C.Jim Lim | 2019 | Particuology2019，17，5： | 1 |
| 5 | Diffusion-weighted MRI after cryosur- gery of the canine prostate,magnetic resonance imaging显示文摘 | Butts K Daniel BI Chen L | 2003 | J Magn Re- son Imaging2003，17，： | 1 |
| 6 | Graph-based robot optimal path planning with bio-inspired algorithms显示文摘Recently,bio-inspired algorithms have been increasingly explored for autonomous robot path planning on grid-based maps.However,these approaches endure performance degradation as problem complexity increases,often resulting in lengthy search times to find an optimal solution.This limitation is particularly critical for real-world applications like autonomous off-road vehicles,where highquality path computation is essential for energy efficiency.To address these challenges,this paper proposes a new graph-based optimal path planning approach that leverages a sort of bio-inspired algorithm,improved seagull optimization algorithm(iSOA)for rapid path planning of autonomous robots.A modified Douglas–Peucker(mDP)algorithm is developed to approximate irregular obstacles as polygonal obstacles based on the environment image in rough terrains.The resulting mDPderived graph is then modeled using a Maklink graph theory.By applying the iSOA approach,the trajectory of an autonomous robot in the workspace is optimized.Additionally,a Bezier-curve-based smoothing approach is developed to generate safer and smoother trajectories while adhering to curvature constraints.The proposed model is validated through simulated experiments undertaken in various real-world settings,and its performance is compared with state-of-the-art algorithms.The experimental results demonstrate that the proposed model outperforms existing approaches in terms of time cost and path length. | Tingjun Lei Timothy Sellers Chaomin Luo Daniel W.Carruth Zhuming Bi | 2023 | Biomimetic Intelligence & Robotics2023，3，3： | 0 |
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