Core Insights - Oxide semiconductors are gaining attention as potential materials for next-generation storage architectures due to their compatibility with back-end-of-line (BEOL) processes and their ability to enhance key performance metrics such as durability, data retention, and scalability [1][2][26] Group 1: Advances in Oxide Semiconductor Technology - Significant progress has been made in n-type oxide semiconductors, including IGZO, InWO, InSnO, and InO, which are suitable for BEOL storage unit access transistors due to their ultra-low leakage characteristics and compatibility with low thermal budget processes below 400°C [3][19] - The article summarizes three main types of BEOL-compatible oxide semiconductor-based memory: DRAM-like 1T-1C structures, capacitorless gain cell memory, and ferroelectric memory [3][19] Group 2: Performance of 1T-1C Storage Chips - A recent demonstration of a 1T-1C storage chip using n-type oxide semiconductor transistors showed excellent performance with a random cycle time of 8 ns and a retention time of 128 ms at a VDD of 0.75 V, indicating high reliability [4][16] - The storage unit array is integrated in a cell-over-peripheral (COP) structure, which minimizes signal propagation distance, providing significant advantages in density expansion, delay, and power consumption [4][16] Group 3: Challenges in Device Optimization - Key challenges remain in optimizing performance for n-type oxide semiconductor devices, including contact resistance (RC) optimization to achieve high drive current (ION) in short-channel devices, threshold voltage (VT) tuning to suppress leakage, and process control to enhance reliability [6][10][12] - The presence of hydrogen in n-type oxide systems is highly sensitive to reliability performance, necessitating surface treatment and passivation methods to minimize hydrogen content and prevent diffusion into the channel [12][14] Group 4: Development of p-Type Oxide Semiconductors - Research on p-type oxide semiconductors, particularly SnO, is ongoing, with challenges including improving mobility, reducing contact resistance, and achieving stable threshold voltage [19][20] - Recent advancements in the fabrication of SnO devices using wafer-compatible processes have shown promising results, with an ION/IOFF ratio of approximately 10⁴ and a mobility of about 1 cm²/V·s [20][22] Group 5: Ferroelectric Field-Effect Transistors (FeFETs) - FeFETs using Hf₁₋ₓZrₓO as the ferroelectric layer are considered promising candidates for high-speed, low-power storage, but integrating ferroelectric materials with oxide semiconductor channels presents unique challenges [24][25] - A breakthrough in highly scaled OS-FeFET devices demonstrated a unit area of 0.009 μm², achieving a conduction current of 40 μA/μm and over 1000 s of data retention at 85°C [25]

Core Viewpoint - Oxide semiconductors are gaining attention as potential materials for next-generation storage architectures, offering compatibility with back-end-of-line (BEOL) processes and improvements in key metrics such as durability, data retention, and scalability [1][29]. Group 1: Recent Advances and Challenges - Significant progress has been made in n-type oxide semiconductors, including IGZO, InWO, InSnO, and InO, which are suitable for BEOL storage unit access transistors due to their ultra-low leakage characteristics and compatibility with low thermal budget processes below 400°C [3][4]. - The article reviews the latest advancements in oxide semiconductor-based storage unit technologies and discusses the challenges faced in material and device development to meet performance requirements [4][29]. Group 2: Storage Device Types - Three main types of BEOL-compatible oxide semiconductor-based memory are summarized: 1. DRAM-like 1T-1C storage structure using ultra-low leakage n-type oxide semiconductors [3][4]. 2. Capacitorless 2T-0C gain cell memory, which includes configurations of n-n and n-p [20][21]. 3. Ferroelectric memory utilizing n-type oxide semiconductors combined with Hf-based ferroelectric dielectrics [26][27]. Group 3: Performance Metrics - A recent demonstration of a 1T-1C storage chip using n-type oxide semiconductor transistors achieved a random cycle time of 8 ns and a retention time of 128 ms at a VDD of 0.75 V, showcasing excellent reliability at 85°C [6][17]. - The durability test results for the 1T-1C storage chip indicated a bit error rate (BER) of less than 1 ppm after 10¹⁴ cycles at 85°C, confirming the robustness of the device [16][17]. Group 4: Challenges in Device Optimization - Key challenges include optimizing contact resistance (RC) in short-channel devices to achieve high drive current (ION) for ultra-low voltage operation, controlling threshold voltage (VT) to suppress leakage while maintaining circuit functionality, and improving process and passivation control to enhance reliability [8][10][12]. - The presence of hydrogen in n-type oxide systems is highly sensitive to reliability performance, necessitating surface treatment and passivation methods to minimize hydrogen content and prevent diffusion into the channel [14][16]. Group 5: P-Type Oxide Semiconductor Development - Research on p-type oxide semiconductors remains limited and challenging, with SnO emerging as a promising candidate due to its thermal compatibility and unique electronic structure [21][22]. - Recent advancements in SnO devices fabricated using wafer-compatible processes demonstrated an ION/IOFF ratio of approximately 10⁴ and a mobility of about 1 cm²/V·s, indicating progress in p-type oxide semiconductor technology [22][24]. Group 6: Future Prospects - The integration of oxide semiconductor channels with ferroelectric materials presents unique challenges, including weak erase phenomena and durability degradation due to oxygen vacancy diffusion [26][27]. - The potential for oxide semiconductor-based storage technologies to reshape storage system architectures and meet the growing demands of data center workloads is significant, but breakthroughs in p-type oxide materials are essential for expanding applications in next-generation storage and logic solutions [29].

来源：湖北日报 如果你刷到过《甄嬛传》里的后宫突然变成枪战现场，《红楼梦》里的林黛玉与薛宝钗挥拳对打，奥特 曼怀孕或是孙悟空端起机枪扫射唐僧……那很可能不是你记忆出了偏差，而是经典影视作品正在被AI 重新"加工"。 随着生成式人工智能工具的普及，越来越多基于经典影视、历史题材、革命题材和英模人物的"AI魔 改"视频在短视频平台集中涌现。它们通过换脸、换声、改词、重组画面等方式，对原有作品进行颠覆 性改编，靠着强烈反差和猎奇效果快速吸引流量。 2025年12月31日，国家广播电视总局宣布自2026年1月1日起，将在全国范围内部署开展为期一个月 的"AI魔改"视频专项治理，明确将对相关乱象进行集中清理和整治。 AI技术"魔改"视频 夸张画面颠覆原作 记者在视频平台上搜索发现，历史剧《大秦帝国》中秦始皇带领群臣驾驶着机甲战车征战四方；电影 《古惑仔》的桥段被嫁接到反腐剧《人民的名义》当中；《红楼梦》里由陈晓旭饰演的林黛玉上一秒还 在葬花，下一秒就开始"倒拔垂杨柳"…… 不仅画面中的剧情走向让人瞠目结舌，视频中角色也说着"魔改"过的台词，例如《三国演义》中经典的 桃园三结义片段，"喜欢结交天下英雄豪杰"变为了"喜欢结 ...

如果你刷到过《甄嬛传》里的后宫突然变成枪战现场，《红楼梦》里的林黛玉与薛宝钗挥拳对打，奥特曼怀孕或是孙悟空端起机枪扫射唐僧……那很可能 不是你记忆出了偏差，而是经典影视作品正在被AI重新"加工"。 转自：四川在线 随着生成式人工智能工具的普及，越来越多基于经典影视、历史题材、革命题材和英模人物的"AI魔改"视频在短视频平台集中涌现。它们通过换脸、换 声、改词、重组画面等方式，对原有作品进行颠覆性改编，靠着强烈反差和猎奇效果快速吸引流量。 AI技术"魔改"视频 夸张画面颠覆原作 记者在视频平台上搜索发现，历史剧《大秦帝国》中秦始皇带领群臣驾驶着机甲战车征战四方；电影《古惑仔》的桥段被嫁接到反腐剧《人民的名义》当 中；《红楼梦》里由陈晓旭饰演的林黛玉上一秒还在葬花，下一秒就开始"倒拔垂杨柳"…… 不仅画面中的剧情走向让人瞠目结舌，视频中角色也说着"魔改"过的台词，例如《三国演义》中经典的桃园三结义片段，"喜欢结交天下英雄豪杰"变为 了"喜欢结交地痞流氓"，并且画面中人物的嘴型也进行了相应调整，让人看不出破绽。 对经典影视剧的改编并非新鲜事，但此前更多的是对相关桥段进行剪辑、配音等操作。现在借助AI软件，普通人能轻 ...

星标★IPO日报 精彩文章第一时间推送 经历数年的波动与调整，全球并购市场在2025年展现出全面回温迹象。其中，我国并购市场迎来根本性的规则重塑，迸发活力，并购上会家数接近翻倍， 重大重组交易量超前六年总和。 步入2026年，随着宏观经济周期的可能转向、科技革命深化、地缘政治格局演变及监管环境持续优化，并购活动有望迎来更具结构性的增长机遇。 张力制图 政策持续优化 在"十五五"规划关于并购重组的政策表述中，对上市公司并购重组的定位更为积极，其中提出要持续深化并购重组市场改革，支持上市公司转型升级、做 优做强，以服务新质生产力发展与培育世界一流企业。 自2024年新"国九条"定调后，"并购六条"（《关于深化上市公司并购重组市场改革的意见》）及新版《上市公司重大资产重组管理办法》在2025年相继落 地，形成了一套鼓励产业并购、提升市场效率的"政策组合拳"。 2025年，中国并购市场在数量和规模上均实现了显著增长。 Wind数据显示，年内A股公司披露的并购重组事件总计达4044单，其中构成重大资产重组的项目有147单，同比激增44.12%；且2025年全年重大资产重组 上会次数为29次，涉及28家公司，值得注意的是 ...

Group 1 - The collaboration between Insilico Medicine and Haizheng Pharmaceutical has achieved a milestone by nominating a preclinical candidate compound (PCC) within approximately 8 months of their strategic partnership [1][2] - The partnership began in April 2025, focusing on deep collaboration in drug discovery and development by integrating AI technology with traditional drug development advantages [1] - Insilico Medicine is responsible for early-stage research, including target identification, lead compound discovery, and preclinical studies, while Haizheng Pharmaceutical will handle clinical trial application support and subsequent clinical trial implementation [1] Group 2 - Insilico Medicine's Pharma.AI platform has efficiently advanced early-stage research, producing preclinical data that meets the PCC nomination standards set by both companies [2] - The rapid achievement of the PCC nomination demonstrates the potential of AI-driven innovation in early drug development, particularly in addressing unmet clinical needs [2][3] - Haizheng Pharmaceutical expressed strong impressions regarding the efficiency and quality of the project, highlighting the integration of traditional pharmaceutical experience with cutting-edge AI technology as a key step in their digital transformation [3]

Core Viewpoint - The global M&A market is showing signs of recovery in 2025, with China's M&A market undergoing significant rule restructuring, leading to a near doubling of the number of M&A approvals and a substantial increase in major restructuring transaction volume compared to the past six years [1] Group 1: Policy Optimization - The "14th Five-Year Plan" emphasizes a positive stance on M&A restructuring for listed companies, aiming to deepen market reforms and support company transformations to foster world-class enterprises [4] - In 2025, the number of disclosed M&A events by A-share companies reached 4,044, with 147 major asset restructuring projects, marking a year-on-year increase of 44.12% [4] Group 2: State-Owned Enterprises and Strategic Restructuring - Major strategic restructuring cases involving state-owned enterprises have emerged, such as China Shenhua's acquisition of stakes in 13 companies under the National Energy Group, valued at 258.36 billion yuan [5] - The ongoing reform of state-owned enterprises is expected to deepen, focusing on core competencies and professional integration [5] Group 3: Technology Empowerment - M&A is anticipated to become a core tool for companies to adapt to industry changes and seek growth, particularly in the context of high-quality economic development [7] - The Sci-Tech Innovation Board has seen a significant increase in major restructuring transactions, with 36 deals in 2025, surpassing the total from 2019 to 2024 [7] Group 4: Global M&A Market Trends - The global M&A market in 2025 is characterized by a "volume shrinkage and price increase" trend, with a total transaction value of approximately $4.5 trillion, a nearly 50% year-on-year increase [10] - The focus of global M&A has shifted towards technology and security, with the technology sector accounting for over $1 trillion in M&A value [10] Group 5: Regional Dynamics - The global M&A landscape is marked by a "U.S. hot, Eurasia rising" trend, with U.S. transactions reaching approximately $2.3 trillion, the highest since 1998 [11] - The integration of technology and energy sectors is expected to increase, driven by the demand for AI infrastructure and energy assets [11] Group 6: Capital Market Support - In 2025, 164 listed companies in A-shares implemented directed placements, raising a total of 959.38 billion yuan, a 454.4% increase compared to 2024 [14] - The "14th Five-Year Plan" aims to enhance the flexibility and convenience of refinancing mechanisms, supporting M&A and optimizing company structures [14]

Core Viewpoint - The article argues that there is no single best AI chatbot, and users should select different tools for different tasks based on their performance in practical applications [4][5]. Group 1: AI Chatbot Performance - ChatGPT, despite its popularity, has never ranked above second in various tests against other chatbots [6]. - Anthropic's Claude chatbot outperformed ChatGPT in writing tasks, demonstrating better emotional expression and consideration [7]. - Google's AI mode is preferred for research and quick answers due to its ability to conduct multiple searches and provide timely information [7]. Group 2: Limitations of AI Tools - Many chatbots struggle with basic knowledge questions, indicating their reliance on text and limitations in image recognition [10][11]. - AI tools often provide seemingly immediate answers but lack the ability to express uncertainty, leading to incorrect responses [11]. - The performance of AI chatbots in practical scenarios often falls short of human standards, with most scoring between 50% and 65% in tests [10]. Group 3: Recommendations for Effective Use - Users are encouraged to provide detailed information when querying chatbots to improve the quality of responses [12]. - Custom instructions can be added to chatbots to request clarification when prompts are vague, enhancing interaction quality [12]. - Continuous evaluation and testing of AI tools are necessary to adapt to their evolving capabilities and limitations [13].

Core Viewpoint - The rise of AI-generated "magic modifications" of classic films and historical narratives is leading to significant alterations in original content, prompting regulatory responses from authorities to address potential cultural and legal issues [1][9]. Group 1: AI Magic Modifications - AI tools are being used to create videos that dramatically alter classic narratives, such as turning "The Legend of Zhen Huan" into a gunfight scene or reimagining characters from "Dream of the Red Chamber" in violent contexts [2][3]. - These modifications often involve changing dialogue and character actions, resulting in a disconnection from the original themes and values of the works [3][4]. - The process of creating these videos has been simplified into a three-step template: generating text with AI, creating video from that text, and editing for publication, making it accessible to a wide audience [4][8]. Group 2: Cultural and Legal Concerns - There are concerns that these AI modifications undermine traditional culture and misrepresent historical narratives, leading to a loss of original context and meaning [3][9]. - The Chinese government has recognized the potential legal risks associated with these modifications, emphasizing the need for copyright authorization and respect for the original works' integrity [8][9]. - A nationwide initiative will begin on January 1, 2026, to regulate and clean up AI-modified videos, with a focus on protecting cultural heritage and ensuring responsible content creation [9].

（来源：中国社会科学院金融研究所） 为优化审稿流程，提高稿件处理效率，实时记录稿件状态，《金融评论》自2026年1月1日起将正式启用新采编系统。 系统唯一网址为：https://jrpl.ajcass.com。 届时将不再接受其他任何途径的投稿。 敬请广大作者、审稿专家知悉。感谢各位一直以来的支持和信任！ 2026年《金融评论》系列声明 | 1 启用新版采编系统声明 | | --- | | 2 公开数据和程序代码的说明 | | 3 生成式人工智能使用规范 | | 4 对外审专家的倡议 | | 5 审稿时间说明 | 《金融评论》关于启用新版采编系统的声明 《金融评论》关于公开数据和程序代码等资料要求的说明 本刊自2026年第1期起，要求作者提供刊发论文的数据、程序代码、数理证明过程以及因篇幅限制无法刊发的其他内容。该内容将 由编辑部存档，在条件成熟时予以公开。 关于公开数据和程序代码等资料的具体说明如下。 1. 作者需在终审录用后一周内，向编辑部提交实证分析和模型推导所需的数据和代码等资料。 2. 作者需要提交的资料如下。 （1）对于实证研究类论文，作者需提供：用于运行最终模型的数据集；使用原始数据创建得到最终 ...