摘要：In this study,a trifunctional strategy was developed to prepare a confined Ni-based catalyst(Ni-CeO_(2)@SiO_(2))for dry reforming of methane(DRM)of two main greenhouse gases-CO_(2)and CH_(4).The Ni-CeO_(2)@SiO_(2)catalyst was fabricated by utilizing the confinement effect of the SiO_(2)shell and the synergistic interaction between Ni-Ce and the decoking effect of CeO_(2).The catalysts were systematically characterized via X-ray diffraction,N_(2 )adsorption/desorption,transmission electron microscopy,energy dispersive X-ray spectroscopy,hydrogen temperature reduction and desorption set by program,oxygen temperature program desorption,Raman spectroscopy,thermogravimetric analysis,and in situ diffuse reflectance infrared Fourier transform spectroscopy measurements to reveal their physicochemical properties and reaction *** Ni-CeO_(2)@SiO_(2)catalyst exhibited higher activity and stability than the catalyst synthesized via the traditional impregnation *** addition,no carbon deposition was detected over Ni-CeO_(2)@SiO_(2)after a 100 h durability test at 800℃,and the average particle size of Ni nanoparticles(NPs)in the catalyst increased from 5.01 to 5.77 ***,Ni-CeO_(2)@SiO_(2)also exhibited superior low-temperature stability;no coke deposition was observed when the catalyst was reacted at 600℃ for 20 *** high coking and sintering resistance of this confined Ni-based DRM catalyst can be attributed to its trifunctional *** trifunctional strategy developed in this study could be used as a guideline to design other high-performance catalysts for CO_(2)and CH4 dry forming and accelerate their industrialization.

摘要：为了解决空间红外探测系统的深低温散热问题,保证红外探测器的低温工作环境,基于脉冲管制冷机和深冷环路热管,设计研制了一套35 K温区的深低温获取与热传输集成系统.该系统由一套35 K温区氖工质深冷环路热管、两台35 K温区脉冲管制冷机、一台150 K温区脉冲管制冷机、隔热冷屏、测温/加热组件、控制系统等组成.完成了地面单机级、整星级热真空测试,并于2020年完成空间飞行测试.在地面单机试验中开展了水平姿态和逆重力恶劣姿态下的传热测试,保证了空间微重力下必定能稳定工作;整星级测试验证了系统在卫星平台散热工况下的工作特性,空间飞行测试获得了系统的空间微重力下的工作性能.本文分析了系统在上述不同阶段的热性能,包括超临界启动特性,稳态运行性能等,验证了相关设计的正确性,重点对比了不同阶段的性能差异,分析其可能的原因.

摘要：针对中药药理研究方法学课程传统教学中遇到的痛点问题,结合信息技术,积极进行在线课程建设。从在线课程的设计理念、构建、实施等方面加以论述,从对教学内容进行重构、拍摄前的准备工作、上线前的准备工作和运行前的准备工作4个方面重点阐释在线课程的构建过程。从实施效果看,该在线课程实施效果良好,具有一定的推广应用价值。

摘要：为解决真实养殖环境中因鱼群模糊、遮挡造成的鱼类目标检测困难等问题,采用基于通道非降维与空间协调注意力ECAM(efficient coordination attention module)的改进YOLOv8养殖鱼群检测方法YOLOv8-Head-ECAM以提高检测精度。首先在FPN(feature pyramid network)中增加大尺寸检测头,更好地捕捉水下鱼类个体的细节信息,以加强对鱼群特征的提取能力,然后使用ECAM注意力机制减少模糊背景的干扰,聚焦鱼类个体的关键特征,以加强对模糊鱼群的识别能力,并设计了消融试验和模型对比试验以验证算法的有效性。结果表明:相比于YOLOv8,YOLOv8-Head-ECAM模型的准确率、召回率和平均精度均值分别提高了2.3%、1.7%和1.6%;与目前检测准确率较高的养殖鱼群检测模型KAYOLO、DCM-ATM-YOLOv5、SK-YOLOv5和ESB-YOLO相比,平均精度均值分别提高了0.7%、1.0%、2.4%和2.0%。研究表明,本文中提出的YOLOv8-Head-ECAM模型能够较好地适应水下鱼群模糊、遮挡的情况,提高了鱼群检测的有效性。