Core Insights - CRISPR technology represents a revolutionary gene-editing tool that offers unprecedented hope for treating genetic diseases, cancer, and rare diseases by precisely modifying disease-causing genes [1] - A significant breakthrough has been achieved by a team from Northwestern University, which has developed a new "gene delivery vehicle" that enhances the efficiency of delivering CRISPR tools into cells while reducing damage and improving gene repair accuracy [3] Delivery Mechanisms - Current methods for delivering CRISPR into cells primarily rely on two vehicles: modified viruses and lipid nanoparticles (LNPs). Viruses are efficient but pose safety risks due to immune responses, while LNPs are safer but have lower delivery efficiency [4][5] - The new system, termed "Lipid Nanoparticle Spherical Nucleic Acids" (LNP-SNA), features a special DNA shell that enhances visibility and acceptance by cells, significantly improving delivery efficiency [6] Performance Metrics - The new delivery vehicle demonstrates over three times the efficiency of traditional lipid nanoparticles, with significantly lower toxicity to cells. The success rate of gene editing has also increased by over 60% [6] - This technology is modular, allowing for targeted delivery to specific cell types, such as liver, brain, or cancer cells, by altering the DNA shell's "code" [7] Clinical Applications - Seven drugs based on similar spherical nucleic acid technology are currently in human clinical trials, with some testing cancer treatment efficacy. The new technology is being promoted by several biotech companies for rapid clinical trial application [7] - The breakthrough emphasizes that while CRISPR itself is powerful, the method of delivery is equally critical, marking a significant advancement in gene therapy capabilities [7]

Core Insights - A joint research team led by MIT has developed a new AI technology to accelerate the discovery of quantum materials, generating over 10 million candidates with Archimedean lattice characteristics [1][2] - The SCIGEN computational framework ensures that the AI model adheres to user-defined geometric rules during the material generation process, significantly enhancing the efficiency of material discovery [1][2] - The research has resulted in the successful synthesis of two previously undiscovered compounds, TiPdBi and TiPbSb, which align closely with AI predictions, validating the method's feasibility and accuracy [2][3] Group 1 - The SCIGEN framework was applied to a popular material generation model, targeting materials with Archimedean lattice structures, which are crucial for various quantum phenomena [1][2] - After initial stability screening, approximately 1 million materials were retained, and 26,000 were selected for high-precision simulations to analyze their magnetic behavior [2] - The results indicated that 41% of the structures exhibited magnetic characteristics, suggesting their potential for further experimental exploration [2] Group 2 - The development of SCIGEN addresses the slow progress in identifying materials with quantum properties, which previously took over a decade to discover only a handful of candidates [1][3] - The successful synthesis of new compounds demonstrates the capability of AI to provide a vast number of candidates, thereby accelerating research in the field of quantum materials [2][3] - This advancement opens up new avenues for experimental scientists, providing hundreds of thousands of new candidates for exploration [2]

Core Viewpoint - China Aluminum Environmental Protection Group has successfully developed a new desulfurization technology for blast furnace gas, which significantly reduces sulfur dioxide emissions and supports the green transformation of the steel industry [1][2] Group 1: Technology Development - The company, in collaboration with its subsidiary Beijing Aluminum Energy Clean Environment Technology Co., has addressed the technical challenges of desulfurization at the source of blast furnace gas [1] - The new technology achieves a sulfur dioxide emission concentration of no more than 30 milligrams per cubic meter, which is below the national ultra-low emission standard of 50 milligrams per cubic meter [1] Group 2: Innovation in Processes - The company has innovatively chosen a source desulfurization approach, utilizing its resources in the alumina sector to develop a core reagent system based on red mud and alumina [2] - A two-stage dry desulfurization equipment system has been developed, which can intelligently adjust gas temperature, humidity, and flow to maintain optimal desulfurization performance [2] Group 3: Environmental and Economic Benefits - The new desulfurization process is simpler than traditional methods, producing no wastewater or chemical waste, and reduces operational costs by over 20% compared to conventional methods [2] - The technology contributes to energy savings and reduces consumption significantly, aiding in the clean utilization of blast furnace gas [2]

Core Viewpoint - The domestically developed VM160 pumped storage power station air compressor has achieved international leading technology standards, marking a significant advancement in China's energy technology sector and breaking foreign monopolies in this equipment field [1][2]. Group 1: Technological Advancements - The VM160 air compressor is the first domestically produced unit for pumped storage power stations, successfully implemented in the second phase of the Meizhou pumped storage power station in Guangdong [1]. - The development process included selecting a technical route, structural performance design, equipment manufacturing, and product engineering applications, focusing on optimizing the equipment's overall performance [2]. - The chosen "medium pressure oil-free" technology eliminates the need for lubricating oil in the air compression process, simplifying operations and reducing environmental pollution [2]. Group 2: Performance and Efficiency - The VM160 air compressor achieves a gas pressure of 8.5 MPa and a compression speed of 11.5 cubic meters per minute, with a strength equivalent to supporting the weight of 425 cars on a one-square-meter area [3]. - The innovative coaxial direct drive architecture enhances transmission efficiency to 100% and significantly lowers maintenance costs compared to traditional belt-driven systems [2]. - Key performance indicators of the domestically produced air compressor show improvements over imported models, with noise levels, cylinder body vibration, and motor vibration reduced by approximately 14%, 32%, and 72% respectively [3]. Group 3: Economic Impact and Market Potential - The implementation of the VM160 air compressor in pumped storage stations is projected to generate economic benefits of up to 81 million yuan over a 30-year usage period [3]. - By 2030, China's pumped storage capacity is expected to exceed 120 million kilowatts, nearly doubling the current scale, indicating a robust growth trajectory for the industry [3]. - The full domestic production process of the air compressor is anticipated to yield significant economic and environmental benefits, with promising market application prospects [3].

膨胀土是一种在我国26个省区市都有分布的特殊土质。它失水时会迅速收缩开裂，吸水时又会急剧膨胀 变形，时常导致道路路基和边坡发生垮塌、滑坡等地质灾害问题，造成高额经济损失。 日前，来自长沙理工大学、复旦大学和南京理工大学的科研团队利用膨胀土及膨润土（与膨胀土性质相 同的黏土，蒙脱石含量更高）等遇水膨胀原料，成功研制出了高性能液流电池关键材料——具有离子精 准筛分功能的共膨胀复合离子交换膜。 通过创新性提出的"纳米闸门"离子筛分机制，研究团队在交换膜中构建了仅头发丝万分之一粗细的"智 能闸门"，从而精准调控液流电池的离子传输通道尺寸和电荷环境，实现离子高效选择性传导，为解决 液流电池长期存在的隔膜溶胀难题提供了全新解决方案。实验结果显示，这类改性膜性能大幅高于现有 商用膜。相关研究成果近期发表于国际期刊《先进能源材料》。 丁美解释，液流电池中的隔膜在工作时浸润在溶液中，吸水会发生膨胀，导致原有的离子传输通道因膨 胀而变大，离子选择性降低，从而使得电解液中的电化学活性物质容易穿过离子传输通道，造成正负极 活性物质交叉污染，自放电现象加剧，降低液流电池的效率、容量和循环寿命等性能。 膨胀土及膨润土等遇水膨胀原料的特性 ...

Core Viewpoint - The introduction of the "Gaode Street Ranking" by Alibaba's Gaode Map aims to eliminate the issue of fake reviews and rankings in traditional food and service listings by relying on user behavior data instead of easily manipulated ratings [1][2]. Group 1: Features of Gaode Street Ranking - The ranking system is based on two main components: "behavior" and "credit" data, which include user actions such as navigation, searching, visiting, and repeat visits [2]. - The credit data is enhanced using AI to filter out false information and incorporates the Sesame Credit system to improve the credibility of evaluations [2]. - This system makes it nearly impossible to manipulate ratings through fake reviews, as genuine customer behavior significantly influences positive ratings [2]. Group 2: Impact on Businesses - The Gaode Street Ranking allows businesses to avoid the pitfalls of "brushing" for traffic and incentivized reviews, enabling honest establishments to gain visibility [2]. - The ranking currently covers over 1.6 million offline service providers across more than 300 cities in China, including over 870,000 restaurants, 230,000 hotels, and nearly 50,000 tourist attractions [2].

9月17日，记者从安徽师范大学获悉，该校物理与电子信息学院教师许晨晨团队联合浙江大学、阿里与 深圳湾实验室等单位，基于无监督域适应技术，提出面向广告海报设计的图像感知布局生成方法，并构 建内容感知图文排版数据集。这一成果标志着AI辅助创意设计在内容感知布局领域取得重要进展，为 智能设计技术从理论研究走向产业应用提供了新范例。相关成果近日刊发在国际期刊《IEEE模式分析 与机器智能汇刊》上。 在广告与视觉传播领域，海报排版是吸引用户关注、高效传递产品信息的关键。然而，传统自动化排版 方法由于缺乏对图像内容的深度理解，往往难以兼顾视觉美观与内容关联性，成为制约智能设计发展的 技术瓶颈。 针对此问题，研究团队提出了一种基于生成对抗网络的跨域自适应方法，能够根据输入的产品图像，自 动生成符合大众审美且内容关联紧密的海报排版方案。同时，团队还构建了内容感知图文排版数据集， 涵盖60548组配对修复海报及对应标注、121000张高质量产品图像，为相关研究奠定了坚实数据基础。 该成果不仅推动了跨域自适应技术与智能设计的深度融合，也为AI辅助创意设计提供了新思路，在广 告设计、数字媒体制作、电商视觉优化等领域具有巨大应用潜力 ...

团队表示，这是地幔化学反应的"瞬间快照"。钻石就像微小的时间胶囊，保存下了短暂的反应过程。这 些钻石的矿物成分还包含柯石英、富钾铝相以及分子固氮包裹体等。 这一发现不仅是首次在天然样品中发现富镍合金，也揭示了地幔深处局部氧化还原反应的作用。这些反 应可能解释为何一些超深钻石显示异常高的氧化状态，也可能为金伯利岩、煌斑岩等富挥发分岩浆提供 物质来源。 （文章来源：科技日报） 据《自然·地球科学》杂志22日报道，包括以色列希伯来大学、美国内华达大学和英国剑桥大学在内的 国际科学家团队，首次在南非Voorspoed矿的钻石中，发现了天然存在的富镍合金。这些钻石形成于距 地表280—470公里的深处，为科学界长期推测的地幔氧化还原模型提供了直接验证。 几十年来，理论与实验都表明，在地幔250—300公里深度，应能稳定存在富镍合金，但能直接证实这一 预测的天然样品却极为罕见。 此次，研究团队在Voorspoed矿的钻石中发现了铁镍合金纳米颗粒和富镍碳酸盐小晶体。它们二者的共 存揭示了一种交代作用的氧化还原冻结反应：氧化性的碳酸盐—硅酸盐熔体渗入富含金属的还原性橄榄 岩。在这一过程中，铁首先被氧化，而镍则在残余金属合金中 ...

Core Insights - A research team from the Technical University of Denmark has achieved a breakthrough in fuel cell technology by developing a lightweight fuel cell using 3D printing and special geometric designs, meeting the power-to-weight ratio required for aerospace applications, potentially paving the way for green energy solutions in aerospace [1] Group 1: Fuel Cell Design and Structure - The new fuel cell is entirely made of ceramic and produced through 3D printing, addressing the weight limitations of traditional metal components, which account for over 75% of the system's total weight [1] - The design features a "triple periodic minimal surface" structure, commonly found in lightweight and high-strength structures in nature, such as butterfly wings, resulting in a robust and lightweight fuel cell with a surface area that maximizes output [1] Group 2: Performance and Efficiency - The new design exhibits outstanding operational performance, with a porous structure that enhances gas flow and heat distribution, significantly improving mechanical stability [2] - In electrolysis mode, the hydrogen production rate of this new fuel cell is nearly 10 times that of traditional designs, demonstrating its efficiency under extreme conditions [2] Group 3: Implications for Aerospace Applications - The resilience of the new fuel cell design is crucial for space exploration, as it can potentially replace bulky systems currently in use, such as NASA's Mars oxygen resource utilization experiment, which relies on over 6 tons of equipment [2] - The new design could achieve similar performance with a weight of less than 1 ton, significantly reducing launch costs and simplifying the manufacturing process, which requires only five steps and eliminates the need for metal components and sealing materials [2]

美国麻省理工学院领衔的联合研究团队开发出一项AI新技术来加速量子材料发现。这项技术生成了超 过一千万个具有阿基米德晶格特征的"候选者"，密歇根州立大学和普林斯顿大学团队从中合成了两种具 有奇异磁性行为的化合物。相关成果发表于新一期《自然·材料》杂志上。 近年来，谷歌、微软和Meta等科技巨头开发的生成式AI已帮助人们设计出数千万种新材料。然而，当 面对奇异量子特性的材料时，这些模型往往力不从心。此外，人们在探索如量子自旋液体这类有望推动 量子计算革命的材料时，进展十分缓慢——十年研究仅识别出十余种候选材料。这一瓶颈严重制约了技 术突破所需的新材料发现。 为此，团队开发了名为SCIGEN的计算框架。SCIGEN是一种可集成到生成式AI模型中的代码系统，能 确保模型在每一步生成过程中都遵守用户设定的几何规则。团队将SCIGEN应用于一种流行材料生成模 型，并设定其目标为生成具有阿基米德晶格结构的材料。阿基米德晶格因能引发多种量子现象而备受关 注。更重要的是，某些阿基米德晶格可模拟稀土元素的电子行为，却无需依赖稀缺资源，因而具备重要 应用前景。 在SCIGEN的引导下，模型生成了超过一千万个具有阿基米德晶格特征的候 ...