热亚矮星是一类处于演化晚期的特殊恒星，质量大约0.5个太阳质量。 在赫罗图中位于上半主序和白矮星序之间，光谱型类似于O、B主序星但光度比后者暗。在球状星团中它们位于水平分支星最蓝端，又被称为极端水平分支星。它们被认为是LISA可以探测的重要引力波源，所以成了天体物理学家关注的热点目标。另外，热亚矮星被认为是椭圆星系和漩涡星系核球紫外超的来源并主导球状星团水平分支形态；热亚矮星+大质量白矮星双星系统被认为是Ia型超新星前身星。除此之外, 它们是研究双星演化最理想的实验室，可以为当前非常不清楚的公共包演化物理过程以及潮汐相互作用物理过程提供重要的信息。我们利用LAMOST在国内率先开展热亚矮星大样本观测研究，构建了国际上规模最大的热亚矮星样本，系统揭示了氦富热亚矮星的碳、氮元素分布特征。相关研究成果被收入国际天体物理学权威工具书《Encyclopedia of Astrophysics》，并受到科学网、中国科学院重大科技基础设施共享平台、中国科学院国家天文台等重要媒体和科研机构的广泛报道；同时受邀在国际热亚矮星SDOB9.5会议上作首个大会特邀报告。

本报告基于多波段观测，系统地阐述了星际尘埃在星系演化中的关键作用及其与恒星形成的双向互动关系。主要研究发现包括：局部尺度：MWST对鹰状星云的高分辨率观测揭示了辐射反馈触发恒星形成的证据，并发现极端环境下的尘埃消光定律偏离标准模型。银河系尺度：发现超新星驱动的巨型超级气泡可长期维持并抗衡星系剪切；超新星遗迹的观测直接证明激波会增大尘埃颗粒平均尺寸。星系尺度：在 M31 外盘发现大质量恒星，挑战了恒星形成仅发生于高尘埃密度区域的传统认知。该报告成果用于揭示星际尘埃与恒星通过形成与反馈机制相互塑造，驱动着星系的动态演化。

For decades, physicists and astronomers have grappled with a fundamental cosmic mystery: the origin of cosmic rays, particularly around the so-called knee of the energy spectrum at E ≳ 1 PeV (10¹⁵eV). While the Galactic origin of this spectral feature - identified as early as the 1950s - is widely accepted, pinpointing the astrophysical objects capable of accelerating particles to such extreme energies has remained a significant challenge. In recent years, however, a compelling set of clues has begun to emerge. Dozens of extraordinary objects have now been discovered across the Milky Way emitting ultra-high-energy (E ≳0.1 PeV) gamma rays, revealing the locations of extreme cosmic-ray factories known as PeVatrons. These sources span a remarkably diverse range of environments and physical processes, including supernova remnants, young star-forming regions, rapidly rotating neutron stars, and compact binaries powered by accreting black holes. Remarkably, despite this diversity, all of these systems appear to share a common potential: they function as extreme particle accelerators, operating close to fundamental theoretical limits. Although the search for Galactic PeVatrons has only just begun, these discoveries suggest that we may finally be approaching a long-sought understanding of the most potent engines of relativistic plasma in our Galaxy and of how they supply high-energy cosmic rays to the Milky Way.

聚焦于利用多模态数据及机器学习与大语言模型构建情感障碍预测模型，旨在通过这些模型提升情感障碍的筛选效率。本次报告将分享三项研究成果：第一项研究采用连接组预测模型，整合全脑静息态功能连接与白质结构连接数据，准确预测了脆弱人群的自杀风险；第二项研究基于行为特质与经验问卷数据，结合机器学习方法构建抑郁症预测模型并筛选关键影响因素，以区分高、低抑郁风险人群；第三项研究通过大语言模型自动生成大量模拟精神病医生与患者的对话数据，训练出名为EmoScan的新型AI系统，为抑郁症的精准评估提供重要的理论依据和实践工具。

Millisecond pulsars (MSPs) sit at the crossroads of extreme magnetospheric physics and a long-standing Galactic Center mystery: the GeV Excess (GCE), for which MSPs remain the leading astrophysical explanation. In this talk, I present a multi-messenger investigation that links gamma-ray phenomenology to gravitational-wave prospects. First, using 15 years of Fermi-LAT observations, we uncover a robust phase-resolved correlation between gamma-ray luminosity and spectral cutoff energy in our MSP sample. This trend provides new evidence favoring particle acceleration and curvature radiation associated with the Equatorial Current Sheet, and it highlights tensions with standard Outer Gap interpretations. Second, we turn to the GCE debate. If the excess is powered by thousands of unresolved bulge MSPs, can we hear them through continuous gravitational waves? We systematically model the expected continuous-wave emission from such a population under representative deformation scenarios and realistic search considerations. While the predicted signals are below the reach of current detectors, next-generation interferometers, such as the Einstein Telescope and Cosmic Explorer, could probe a detectable fraction of the population, offering an independent multi-messenger test of the MSP origin of the Galactic Center Excess.

教学课件作为课堂教学的核心载体，是知识传递、思维引导与师生互动的重要媒介。优质的课件能够通过清晰的逻辑架构、多模态的内容呈现与互动设计，显著提升学生的课堂参与度与知识内化效率。本次讲座通过对教学PPT基本特点、核心构架、优化要点的探讨，帮助参训教师明确教学PPT的核心设计目标、构建教学PPT基本的设计体系、熟悉教学PPT的实用操作技巧。