在现代的时域天文学领域中，随着时域巡天设备的升级，大量的暂现源被发现。中等亮度的暂现源是一类非常特殊且稀少的暂现源，其亮度介于典型的超新星和经典的新星之间，目前基本处于唯象学的研究阶段。我将主要介绍此类暂现源的研究进展。另外，稻城是我们国家的优良天文台台址，我也将提及基于稻城无名山台址的R2Pub（from Research to Public outreach）大视场双筒望远镜的相关情况。

Stochastic temperature distribution should be carefully inspected in the thermal-failure design of heterogeneous solids with unexpected random energy excitations. Stochastic multiscale modeling for these problems involve uncertain thermal conductivity, high-dimensional and multiscale features, which remains limitation of prohibitive computation. In this paper, we propose an multi-modes based constrained energy minimization generalized multiscale finite element method (MCEM-GMsFEM), which can transform the original stochastic multiscale model into a series of recursive multiscale models sharing the same deterministic material parameters by multiscale analysis. Thus, MCEM-GMsFEM reveals an inherent low-dimensional representation in random space, and is designed to effectively reduce the complexity of repeated computation of discretized multiscale systems. In addition, the convergence analysis is established, and the optimal error estimates are derived. Finally, several typical stochastic disturbance on the mean value of uncertain thermal conductivity are considered to validate the theoretical results in the numerical examples. The numerical results indicate that the multi-modes multiscale model is a robust integrated method with the excellent performance.

轨道交通发展历史及相关政策,重庆市轨道交通发展现状、趋势及展望

城市轨道交通行业的职业素养,成都地铁基本情况介绍,地铁客运相关岗位职责与典型案例

“一带一路”简介，中老昆万铁路概况； 立足本质岗位，服务国家“一带一路”发展战略个人成长与工作体会

企业文化认知与实践,职业认知

以真实的深层学习案例为切入点，帮助教师认识深层学习，感悟身边深层学习的瞬间，研讨深层学习发生的条件，探索引导学生进行深层学习的策略。

1. 课程思政是什么？ ①《高等学校课程思政建设指导纲要》的解读； ② 基于《纲要》的课程思政实用教学设计工具讲解。 2. 课程思政怎么设计？ 运用课程思政实用教学设计工具开展教学设计的案例分析。 3. 课程思政设计如何实操？ ① 分组与教师发展师配合，开展一次课程思政教学设计实操； ② 展示并解说设计方案。 4. 课程思政如何评价？ ① 自评与互评相结合的课程思政评价体系讲解； ② 根据“评价体系”对本组上一环节设计方案进行评价； ③ 原设计方案改进。

1. Reformulations of nonsmooth nonconvex optimization for training leaky ReLU neural network 2. Penalty methods and a smoothing proximal gradient algorithm 3. Computation of subgradients in stochastic gradient algorithms for nonsmooth nonconvex finite-sum optimization 4. Automatic choroid layer segmentation from OCT images using deep Learning

In this talk, we present a critical mass phenomenon in a chemotaxis model with indirect signal production mechanism. Our first result asserts that for any suitably regular initial data, the system admits global classical solution, which is different from the classical Keller-Segel system with direct signal production mechanism. Our second result confirms that for all radially symmetric initial data smaller than the critical value, the solutions are globally bounded, while for any initial mass larger than the critical value, unbounded global solutions can be constructed.