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吴琪:扎根西藏 助计算物理在高原“加速”
Core Insights - The article highlights the journey of Wu Qi, a theoretical physicist who chose to work in Tibet, contributing to the development of physics research in the region and addressing the gap in scientific resources and education compared to mainland China [1][2][3]. Group 1: Research Development - Wu Qi faced significant challenges in establishing her research career in Tibet, including a lack of personnel and equipment when she started in 2015 [2]. - By 2019, Wu Qi's research team began to take shape with the addition of graduate students, and the "Multiscale Material Simulation and Application Research Laboratory" was officially established [2]. - Wu Qi's efforts have led to increased collaboration between Tibet University and other institutions, expanding the scope of academic exchanges [2][3]. Group 2: Innovative Research Approaches - Wu Qi's research focuses on utilizing computational physics to accelerate material research, particularly in the context of oxygen production in high-altitude environments [3][4]. - The team aims to find alternative porous materials for oxygen production, leveraging Tibet's abundant solar energy for water electrolysis [3][4]. - The application of computational methods has significantly reduced the time and cost associated with material synthesis, with potential production costs for oxygen being lower than current market prices [4]. Group 3: Educational Impact - Wu Qi has made significant contributions to teaching at Tibet University, enhancing the learning experience for students in physics through innovative teaching methods [5][6]. - She emphasizes the importance of nurturing young talent and encourages students to participate in academic conferences to broaden their horizons [5][6]. - The educational initiatives at Tibet University reflect a broader trend of improving higher education and research capabilities in the region, contributing to local economic development [6][7].
并购市场即将转向增量时代,中介机构怎么说?
Group 1 - The core viewpoint of the discussions at the closed-door seminar "M&A Breakdown: Investment and Exit Games in the Era of Stock" highlights a shift in focus from due diligence and transaction design to litigation and dispute resolution in the M&A landscape since 2018 [1] - The investment in distressed asset funds has been a notable area of growth since 2018, with successful outcomes in property rights investment, debt investment, and bankruptcy restructuring [1] - Recent M&A activities have predominantly concentrated in sectors such as semiconductors, biomedicine, artificial intelligence, and new energy vehicles, which present valuation complexities due to their reliance on patents and R&D outcomes without immediate revenue generation [1] Group 2 - Traditional market methods like PE, PB, and PS are less applicable for early-stage valuations of companies in these sectors, leading to the adoption of alternative metrics such as equity value to GMV and equity value to R&D expenses [2] - For biomedicine companies, valuation methods must adapt to different R&D stages, utilizing techniques like binomial tree models or Monte Carlo simulations to meet listing requirements [2] - Cross-border M&A transactions, particularly involving A+H share companies with state-owned backgrounds, face significant operational challenges due to the need for triple regulatory approvals, highlighting the critical role of valuation firms in navigating these complexities [2]
专利并购陷估值困局?仲量联行刘小翠祭出三招
Group 1 - The core viewpoint of the article highlights the challenges and opportunities in the M&A market, particularly focusing on sectors like semiconductors, biomedicine, artificial intelligence, and new energy vehicles, which have seen increased activity in recent years [1][2] - The complexity of valuation in these sectors is emphasized, as many companies possess significant patents and intangible assets but have not yet generated substantial revenue or profits, making traditional valuation methods less applicable [1] - Alternative valuation methods such as equity value to GMV ratio and equity value to R&D expenses ratio are suggested for better assessment in early-stage companies [1] Group 2 - The article discusses the operational difficulties in cross-border M&A, particularly for A+H share listed companies with state-owned backgrounds, which require multiple layers of regulatory approval [2] - It notes the differing regulatory logic among various authorities, with state-owned asset protection being a primary concern, leading to the necessity of using multiple valuation methods for cross-verification [2] - The article also points out the cautious approach of the Hong Kong market towards the income method, which requires additional documentation and can complicate the approval process [2]