学情调查和数据驱动专业基础课教学探索

文章以“数字电子技术基础”课程为对象,设计了基于教学数据和问卷调查的教学框架。通过学生情况调查和雨课堂教学数据掌握学习状态和学习能力,针对性设计了个性化作业布置、拓展延伸、疫情线上自学跟学双通道等特色教学方式。结课问卷表明教学设计得到了良好评价和认可。     

“电工学实验”混合教学模式的探索与实践

在大类培养改革背景下,基于“电工学实验”开放式实践教学体系现状进行了“电工学实验”混合教学模式的研究,建立了“微课”资源并通过新型教学平台进行推送,确立了完备的混合教学模式应用机制并在部分专业进行了试点,通过分析试点调查数据得出混合教学模式具有在实验教学中提高学生学习效率、激发学生学习动力、促进学生个性发展、培养学生实践应用能力的优势,是落实创新应用型人才培养目标的重要举措。     

雷达工程专业本科毕业设计指导模式探索

为提高本科毕业设计指导工作效率和毕业论文质量，本文基于雷达工程专业特点建立了“导师主导--研究生辅助--本科生合作”的多层次、模块化、场景化指导模式。该模式以导师为核心、科研小组和学员合作为辅助，全方位全过程保障本科毕设工作。实践表明，该模式可以有效提高指导工作效率和本科毕业设计质量，学生专业素养和实践能力显著提升。本文对电子类专业本科毕设指导具有重要借鉴意义。     

Destination-aware metric based social routing for mobile opportunistic networks

Wireless Networks - Although centrality is widely used to differentiate the importance of nodes for social-aware routing in mobile opportunistic networks (MONs), it is destination-agnostic since...     

Dielectric performance and conductive mechanism of KNN-based ceramics prepared via sol–gel core–shell process

Journal of Materials Science: Materials in Electronics - 0.95(Li0.02Na0.50K0.48)(Nb0.95Sb0.05)O3–0.05AgTaO3@BaZrO3 (LNKNbSAT@BZ) lead-free ceramics were prepared via a sol–gel...     

Cu掺杂对有序Sr3YCo4-xCuxO10.5+δ多晶的结构与物理性能的影响

采用固相反应法制备了四方Sr3YCo4-xCuxO10.5+δ(x=0~1.0)多晶。用热重-差示扫描量热分析,X射线衍射研究了多晶的有序化相变及结构。在固溶范围内(x=0~0.4),观察到有序峰(103)和(215),说明四方Sr3YCo4-xCuxO10.5+δ多晶为超结构,这是由于合成时在1000℃以上发生了吸氧(δ)有序化相变；当x=0.6~1.0时,978℃时在晶界处形成了单斜杂相,破坏了Sr3YCo4-xCuxO10.5+δ多晶的有序。当x=0~0.4时,多晶呈半导体输运行为。随着Cu掺杂量的增加,Co4+提供的空穴载流子浓度增大,电阻率明显下降；由于Cu的固溶,自旋熵增加,载流子浓度和自旋熵的共同作用使x=0~0.2多晶的热电势不变,x=0.4的热电势降低。并且Cu掺杂导致的晶格畸变使Co3+离子由高自旋态转变为高/低自旋混合态,磁化强度和铁磁转变温度(Tc)降低,磁结构由G-型反铁磁转变为铁磁。在进行二次烧结后,300K时电阻率明显降低,热电势为一次烧结的2倍,可能是二次烧结使多晶的有序化程度增大,提高了铁磁有序排列。     

离子型稀土矿山淋洗及尾水富集试验研究

对浸矿后离子型稀土原地浸矿场采用清水进行淋洗，在184天的清水淋洗过程中，尾水氨氮值从最开始的507mg/L，降低至140mg/L，淋洗尾水pH4.52~3.10。淋洗尾水采用两级反渗透膜分离，既回收有价资源稀土，又能使出水氨氮达标。结果表明，产水氨氮浓度稳定低于15mg/L，对稀土的截留率高于98.25%，浓水中稀土离子平均浓度313.4mg/L，可进一步回收稀土资源。     

A high-throughput chaotic advection microreactor for preparation of uniform and aggregated barium sulfate nanoparticles

A high-throughput (105.5 g/h) passive four-stage asymmetric oscillating feedback microreactor using chaotic mixing mechanism was developed to prepare aggregated Barium sulfate (BaSO₄) particles of high primary nanoparticle size uniformity. Three-dimensional unsteady simulations showed that chaotic mixing could be induced by three unique secondary flows (i.e., vortex, recirculation, and oscillation), and the fluid oscillation mechanism was examined in detail. Simulations and Villermaux–Dushman experiments indicate that almost complete mixing down to molecular level can be achieved and the prepared BaSO₄ nanoparticles were with narrow primary particle size distribution (PSD) having geometric standard deviation, σ_g, less than 1.43 when the total volumetric flow rate Q_total was larger than 10 ml/min. By selecting Q_total and reactant concentrations, average primary particle size can be controlled from 23 to 109 nm as determined by microscopy. An average size of 26 nm with narrow primary PSD (σ_g = 1.22) could be achieved at Q_total of 160 ml/min.     

Co?N graphene encapsulated cobalt catalyst for H2O2 decomposition under acidic conditions

Hydrogen peroxide (H₂O₂) has been listed as one of the 100 most important chemicals in the world. However, huge amount of residual H₂O₂ is hard to timely decomposed into O₂ and H₂O under acidic condition, easily resulting in explosion hazard. Here, we reported a core–shell structure catalyst, that is graphene with Co N structure encapsulated Co nanoparticles. Co N graphene shell serves as the active site for the H₂O₂ decomposition, and Co core further enhance this decomposition. Benefiting from it, the H₂O₂ decomposition were close to 100% after 6 cycles without pH adjustment, which increased 6 orders of magnitude compared with no catalyst. At the same time, the O₂ generation reached 99.67% in 2 h with little metal leaching, and ·OH has been greatly inhibited to only 0.08%. This work can cleanly remove H₂O₂ with little deep oxidation and protect the process of H₂O₂ utilization to achieve a safer world.