Two new tetrapod burrow casts from the Naobaogou Formation （Middle or Late Permian） of Nei Mongol,China are described.It marks the first pre-Cenozoic tetrapod burrow from China,and one of the earliest records of tet...Two new tetrapod burrow casts from the Naobaogou Formation （Middle or Late Permian） of Nei Mongol,China are described.It marks the first pre-Cenozoic tetrapod burrow from China,and one of the earliest records of tetrapod burrows.Comparison to other Permian and Triassic burrows suggests that these burrows were created by tetrapod slightly smaller than Lystrosaurus.Deduced from the morphology and sizes of two burrows and known tetrapods of the Naobaogou Formation,the burrow should be the production of a therapsid,most likely a dicynodon.These burrows indicate a seasonal climate and this area was semiarid or arid during that time.展开更多
人机共驾阶段人类驾驶员对驾驶环境保持较高的风险感知水平是保证及时有效、稳定安全接管的核心。本研究通过开展风险感知模拟驾驶试验,获取了驾驶员在典型汽车-动力两轮车碰撞场景下的驾驶行为及脑电响应数据。从驾驶行为层面以制动TTC...人机共驾阶段人类驾驶员对驾驶环境保持较高的风险感知水平是保证及时有效、稳定安全接管的核心。本研究通过开展风险感知模拟驾驶试验,获取了驾驶员在典型汽车-动力两轮车碰撞场景下的驾驶行为及脑电响应数据。从驾驶行为层面以制动TTC(time to collision)和平均加速度为评价指标,利用分位数回归构建了驾驶员风险感知量化模型,通过独立样本检验发现驾驶经验、碰撞场景类型对驾驶员风险感知存在显著影响。在脑电响应层面,通过双独立样本检验及FDR校正发现Alpha频段与驾驶员风险感知显著相关。此外,提出了驾驶员风险感知神经机理,包括视觉感知与认知加工两个阶段。研究结果有助于提升人机共驾汽车的安全性。展开更多
基金funded by 973 Program of China (Grant No. 2012CB821902)National Science Foundation of China (40972014)Chinese Academy of Sciences (KZCX2-YW-BR-07)
文摘Two new tetrapod burrow casts from the Naobaogou Formation （Middle or Late Permian） of Nei Mongol,China are described.It marks the first pre-Cenozoic tetrapod burrow from China,and one of the earliest records of tetrapod burrows.Comparison to other Permian and Triassic burrows suggests that these burrows were created by tetrapod slightly smaller than Lystrosaurus.Deduced from the morphology and sizes of two burrows and known tetrapods of the Naobaogou Formation,the burrow should be the production of a therapsid,most likely a dicynodon.These burrows indicate a seasonal climate and this area was semiarid or arid during that time.
文摘人机共驾阶段人类驾驶员对驾驶环境保持较高的风险感知水平是保证及时有效、稳定安全接管的核心。本研究通过开展风险感知模拟驾驶试验,获取了驾驶员在典型汽车-动力两轮车碰撞场景下的驾驶行为及脑电响应数据。从驾驶行为层面以制动TTC(time to collision)和平均加速度为评价指标,利用分位数回归构建了驾驶员风险感知量化模型,通过独立样本检验发现驾驶经验、碰撞场景类型对驾驶员风险感知存在显著影响。在脑电响应层面,通过双独立样本检验及FDR校正发现Alpha频段与驾驶员风险感知显著相关。此外,提出了驾驶员风险感知神经机理,包括视觉感知与认知加工两个阶段。研究结果有助于提升人机共驾汽车的安全性。
