Based on the evolutionary law of the 50−year long−wave cycle of the world economy, this paper focuses on the core engine of the fifth long−wave cycle—the integrated circuit (IC) industry. It systematically sorts out the development history, current status of the industrial system, and global competitive pattern of China's IC industry from the "6th Five−Year Plan" to the "14th Five−Year Plan" periods. By analyzing the development achievements in key links such as electronic design automation (EDA), design, manufacturing, packaging and testing, equipment, materials, and memory, the paper identifies China's breakthroughs in chip autonomy in national security−related fields and the phased achievements of multiple enterprises ranking among the top 10 in relevant global fields. Meanwhile, it deeply analyzes the industry's existing problems, including homogeneous competition and internal friction caused by "small scale, dispersion, and weakness", lack of fault tolerance and trial−and−error mechanisms between upstream and downstream enterprises, imperfect data statistics and industrial standards, and insufficient transformation of "national efforts" into practical actions. Combined with the development trends of integrated circuits in the post−Moore era—extending Moore's Law, expanding Moore's Law, transcending Moore's Law, and enriching Moore's Law—the paper proposes that during the "15th Five−Year Plan" period, efforts should be made to build leading enterprises, improve coordination mechanisms, increase targeted investment, strengthen basic research, deepen international cooperation, and optimize talent training.

Biological carbon fixation is crucial to the Earth's carbon cycle and is one of the effective ways to transform CO₂ and manage carbon emissions. Chemoautotrophs, with their unique metabolic strategies and environmental adaptability, play an important role in this process. They are able to convert CO₂ into valuable organic products, solving the problem of limited CO₂ utilization. However, the carbon fixation potential of chemoautotrophs in controlled systems has not been fully explored. This review illustrates the possible challenges of stable culture of chemoautotrophic bacteria in bioreactor. Based on this, a series of physical, chemical and biological methods are proposed to regulate the carbon metabolism of chemoautotrophic bacteria and improve their carbon fixation efficiency. Further, the application prospects of chemoautotrophic carbon fixation in controlled systems are expected, including improving the primary productivity of natural ecosystems, reducing carbon emissions in specific sites, and producing high−value microbial by−products. This review highlights the advantages and challenges of these applications, providing important insights into carbon capture, fixation and conversion by chemoautotrophs.

This article focuses on amorphous matters and reviews recent advances in amorphous materials and physics. More recently, more than 30% of the lunar soil collected by China's Chang'e-5 mission was found to be glassy, further confirming the widespread existence of amorphous matter in the universe. Topological order and inhomogeneity may be hidden behind the seemingly chaotic structure of amorphous materials, so amorphous matters have strange genetic, sensitive and relaxation behaviors, and show a series of excellent physical and chemical properties, such as extreme stability, super-plasticity, super mechanical behavior and excellent soft magnetic properties. The new generation of Zr-based and Fe-based amorphous alloys developed based on order regulation and high flux technology are successfully applied to core components such as folding mobile phone hinges and new energy vehicle motors, indicating that amorphous matters have irreplaceable application advantages. The future development of amorphous matters should focus on introducing a new paradigm of material research, attaching importance to the importance of process innovation, promoting the cross-integration of multi-disciplinary fields, giving full play to the advantages of advanced characterization technology and large scientific devices, and creating a whole-chain innovation model for production, university and research, so as to actively promote the rapid development of amorphous materials and physics, and expand the application of amorphous matters in high-tech fields. Make the future of mankind a better place.

With the convergence and innovation of emerging information technologies, Digital Twin (DT) technology has become a key enabler for digital transformation and the evolution of intelligent systems. It has been widely applied and received significant attention in fields such as industrial manufacturing, smart cities, and intelligent transportation. However, existing research on traditional DT technologies has predominantly focused on the modeling and analysis of physical entities ("objects"), with limited systematic integration of "human" and "environmental" factors. The lack of exploration into human−environment interactions makes it difficult for current digital twin frameworks to meet the advanced demands of complex intelligent systems for multi−level, comprehensive interaction capabilities. In view of this, this paper innovatively introduces the "object−human−environment" interactive vision and comprehensively and systematically analyzes the research frontiers and progress of digital twin technology from the three core dimensions of intelligent physical entity (object), intelligent individual (human), and virtual−real fusion environment (environment). Firstly, the paper analyzes the traditional digital twin technology system with "object" as the core and focuses on its theoretical origin, framework, and application. Secondly, it discusses the definition, development context, national policies, and core technologies of digital people driven by AI. Finally, expand the vision to the dimension of "environment" and explore the application practice of "environment" in multiple scenes of the meta−universe, deeply discuss the deep integration and interaction mechanism of the three elements of "object", "human" and "environment", reveal how the three interact and promote each other, and provide support for the construction of the meta−universe. Furthermore, this study discusses the current research challenges and future development trends of digital twin technology from the perspective of "Object−Human−Environment" interaction and proposes three key research directions: (1) developing an intelligent, multi−layered data fusion framework; (2) exploring AIGC−enabled intelligent virtual−real mapping and native virtual evolution; and (3) constructing novel virtual economy architectures and intelligent governance systems. The research outcomes provide both theoretical foundations and practical insights for building next−generation digital twin systems characterized by multi−agent collaborative perception, multimodal intelligent interaction, and closed−loop integration of virtual and real environments.

矿产资源的开发和利用是维系现代社会经济发展和人类活动的重要基础。然而，近百年来各类矿产资源的开采和加工产生了大量尾矿矿渣，严重威胁着生态环境和人类社会的可持续发展。如何实现尾矿区的生态重建成为实现可持续矿业的关键。在分析传统尾矿生态修复技术不足的基础上，提出基于土壤发生学原理的尾矿生态修复新策略，即尾矿成土生态工程。具体而言，本策略将尾矿视为成土母质矿物，通过系统性生态工程手段加速成土过程，并逐步将其改造成具有多孔物理结构和化学缓冲特性，能够承载生态功能的稳定类土基质，从而实现对尾矿区的生态重建。尾矿成土生态工程需综合考虑尾矿的特性、本地微生物和植物物种资源及气候条件，因地制宜设计技术路线，构建成套技术体系。最后，基于现有研究进展，提出了尾矿成土的关键基础科学问题和技术应用前景。

In recent years, light−driven micro/nanomotors have emerged as a novel type of miniature power device, leveraging their adjustable energy input, reversible switching state and remote operability. They have demonstrated broad application prospects in water environment treatment, biomedical fields, and biosensing. This paper aims to systematically summarize the research progress of light−driven micro/nanomotors, elucidate their propulsion mechanisms, and highlight typical applications driven by different types of light (ultraviolet, visible, and near−infrared light). Despite the substantial potential of light−driven micro/nanomotors in various domains, they still face numerous technical challenges, such as low propulsion efficiency, limited motion control precision, and issues with the biocompatibility of materials. Future research directions may include the integration of multiple driving methods, enhancement of light energy conversion efficiency, and development of biocompatible materials. These efforts will promote the performance improvement and application expansion of light−driven micro/nanomotors, bringing revolutionary changes to environmental protection and biomedical fields. By overcoming current technical obstacles, light−driven micro/nanomotors are expected to play a more significant role in future scientific research and practical applications.

智能建造数字化平台作为建筑行业数字化转型的关键支撑，在建筑信息模型（BIM）、云计算和大数据等核心技术的驱动下实现了突破性发展。从相关研究总体特征、相关研究现状和平台案例分析3个维度对2010—2023年的相关研究进行分析。研究发现，BIM技术通过三维可视化建模和全生命周期数据管理构建了平台的基础框架；云计算技术凭借其弹性计算资源和分布式处理能力为平台提供了强大的技术支撑；大数据技术则通过实时数据分析和智能决策优化了工程管理流程。以北京城市副中心项目为例，该平台创新性地采用“环状”数字集成交付模式，整合区块链数据确权技术，实现了政府投资项目设计-施工-运维全过程的数字化协同管理，有效解决了传统工程管理中的“三超”问题。然而当前研究仍存在明显局限，比如应用场景主要集中于单体项目层面，缺乏行业级系统整合；技术标准体系尚未统一，制约了数据互联互通；人工智能等新兴技术的融合应用研究相对不足。未来发展方向应着重于构建产业级集成平台，推动规模化应用；建立统一的技术标准和数据接口规范；深化人工智能、数字孪生等创新技术与传统建造技术的融合应用；探索数据资产交易机制，促进数据要素市场化。

The dual pressures of urbanization and climate change are intensifying the urban heat island effect, carbon emissions, and air pollution, posing significant challenges to environmental sustainability and urban livability. As the demand for multiobjective coordinated management of urban ecological environments continues to increase, integrating heat, carbon, and pollution into a unified framework for comprehensive assessment has become a key direction for future urban planning and policy−making. This article systematically compares and analyzes the consistency between global development agendas and the goals of reducing urban heat, carbon, and pollution, highlighting the significant potential and advantages of new−generation information technologies in intelligent optimization and coordinated scheduling, data fusion and analysis, real−time monitoring and feedback, and decision support and simulation. From the new perspective of urban spatial form, it comprehensively reviews the specific content, challenges, and future issues in conducting multi−scale, multi−dimensional "heat−carbon−pollution" multi−objective coordinated reduction planning. It provides innovative solutions for multi−objective coordinated management and sustainable development of "heat−carbon−pollution" in Chinese cities.

江泽涵是中国著名数学家、数学教育家，中国拓扑学派开创者。学术研究方面，深耕于拓扑学领域，带领团队取得国际瞩目的成果，竭力促进国内数学研究的发展；数学教育方面，重视数学基础教育改革，强调数学竞赛的人才选拔功能和数学史的教育价值，对基础教育产生了积极深远的影响；行政管理方面，积极整顿学风，深入系务改革，大力推动了北大数学系的蓬勃兴盛。通过回顾江泽涵的学术人生和数学贡献，缅怀其留下的教育思想和崇高精神。

Following the full value chain of "feedstocks–technologies–processes–products," biomanufacturing is rapidly advancing toward high efficiency and sustainability. This review first analyzes the limitations of traditional grain−based feedstocks and highlights the latest developments in sustainable raw material systems—including non−food resources, biomass, and one−carbon substrates—which collectively support the establishment of a secure and robust feedstock base for biomanufacturing. On the technology side, we systematically examine advances in foundational tools such as gene editing, metabolic engineering, computational design, and artificial intelligence (AI), emphasizing their roles in the precise design of chassis cells, industrial enzymes, and high−performance microbial strains. These technologies are driving biomanufacturing toward higher efficiency, modularization, and intelligence. At the process level, key innovations in intelligent cell factories, precision fermentation, online monitoring, digital twins, and the domestic development of smart equipment are discussed, highlighting the transition from experience−driven operations to model−driven and intelligent decision−making. On the product side, we summarize industrialization progress and application prospects across pharmaceuticals, food, chemicals, and materials. Finally, we address critical bottlenecks facing China's biomanufacturing—such as limited autonomy in strain development and reliance on imported high−end equipment—and propose directions for key technological breakthroughs, providing guidance for future technology roadmaps and industrial development.

The sustainable operation of wearable /implantable medical devices is crucial for the next generation of personalized medicine. However, limited battery capacity is a critical challenge for most wearable /implantable medical electronics. The human body is rich in mechanical and chemical energy (such as respiration, exercise, blood circulation, oxidation and reduction of glucose, etc.), so it is considered a feasible method to obtain mechanical energy from the body to supply power for wearable /implantable medical electronics. A variety of new methods for developing in vivo energy harvesters have been proposed to power wearable /implantable medical electronics. Based on this background, we here focus on the recent research progress of energy harvesters based on piezoelectric or triboelectric effects, with an emphasis on the fabrication, materials design, energy output, durability, as well as their typical applications in biomedicine and evaluation criteria. Finally, according to the actual needs of wearable /implantable medical electronics, the prospects and challenges of nanogenerators are discussed.

The impact of global warming and how to deal with it are topics of widespread concern across various sectors of society. This paper focuses on the impacts of global climate change on dryland. Over the past fifty years, the temperature has risen at the rate of 0.32℃ /decade, and climate warming has enhanced the evaporation capacity and consequently expanded the world's arid regions by approximately 2.61×10⁶ km². The frequency and severity of droughts has also increased, with an average of 251 meteorological droughts occurring in 34 major river basins. The drought heatwave compound events and flash droughts are becoming more common. The duration of heat waves has extended from 8 to 12 days on average. With climate warming, the water availability has decreased with increased water uncertainty. Concurrently, greenhouse gas emissions increased and carbon sequestration reduced. Desertification has aggravated, and poverty?stricken area has expanded. In light of these challenges, it is recommended to vigorously advocate carbon emission reduction strategies to curb the pace of climate warming, strengthen international cooperation, formulate a global action plan to mitigate the continuous expansion of arid areas, build a cooperation mechanism to address climate change in terms of policy, management, education, science and technology, finance and other aspects, and solve the "double dilemma" of desertification and poverty in multiple ways.

简要回顾2024年原子核物理科技发展的前沿与热点，放射性核束物理，相对论重离子碰撞物理，中低能与高能的交叉、无中微子双贝塔衰变、超精细结构、核钟、核物质状态方程与核天体物理等交叉学科及核医学等方向，其中有涉及理论的拓展也有实验的突破，这些原子核物理学的发展不断地推动我们对物质基本构成和宇宙演化的深入理解。

This study uses SpaceX and the US government as examples. It looks at their cooperation in three areas: policy, where the government shapes SpaceX in many ways and SpaceX connects with government policies in multiple dimensions; technology, marked by comprehensive government support and SpaceX's contributions across various fields; and funding, involving three key government aids and three major returns from SpaceX. Based on the analysis findings, this study proposes multiple policy recommendations, including establishing appropriate cooperation platforms, piloting a contract outsourcing model, and strengthening collaboration between government and enterprise entities across the industrial chain. These recommendations aim to provide valuable insights and references for enhancing government?enterprise collaboration in China's aerospace sector.

At present, a new round of scientific and technological revolution and industrial transformation is advancing at an accelerated pace, with breakthroughs in cutting−edge fields reshaping the global landscape. The scientific and technological development of China during the 15th Five−Year Plan period is not only a crucial stage for itself to achieve the goal of building a world power in science and technology, but also will play an important role in the global pattern of scientific and technological development, exerting a significant and far−reaching impact on the world. How to accurately position itself in the complex and volatile international situation, make forward−looking plans, and scientifically map out the roadmap for scientific and technological development during the 15th Five−Year Plan period is a key issue that China must strive to address at present. In the next 5−10 years, China will face a complex situation where the intensification of strategic games among major powers, the acceleration of scientific and technological industrial transformation, and the arduous task of economic and social transformation are intertwined: science and technology have become the main battlefield of national strength competition, international cooperation has weakened, and security risks have risen; the frontiers of science and technology are advancing in depth, and disruptive technologies are intersecting and integrating, nurturing new industrial forms; China's economy is transforming towards high quality, and security risks in fields such as energy and food are prominent. The construction of a strong science and technology country during the 15th Five−Year Plan period should focus on six aspects: first, strengthen organized basic research; second, coordinate and strengthen the tackling of key core technologies; third, strengthen the dominant position of enterprises in innovation; fourth, promote the integrated development of education, science and technology, and talents; fifth, improve the ecological environment for scientific and technological innovation; sixth, strengthen open innovation and cooperation.

With China's "Dual Carbon" goals (carbon peaking by 2030 and carbon neutrality by 2060) entering a critical implementation window, the next five years represent a decisive phase for determining the success of this transition. As one of the core supports of clean energy systems, electrochemical energy technology is witnessing unprecedented development opportunities. Based on the latest policy orientations and technological trends, this study analyzes the current status, target pathways, and strategic actions for electrochemical energy storage and conversion against the "countdown" backdrop of the Dual Carbon initiative. Against the escalating global climate crisis and growing energy security concerns, clean energy has emerged as a central direction for the worldwide energy transition. The development of clean energy not only helps reduce dependence on fossil fuels and cut greenhouse gas emissions but also promotes the diversification of energy mix and enhances energy security. Consequently, the clean energy sector is facing new development opportunities and challenges. This study aims to provide a systematic exploration of the development status, technological innovations, market trends, and application prospects across five key areas: electrocatalysis, solar cells, fuel cells, lithium batteries, and bioenergy, thereby offering insights to support the further deployment and sustainable development of clean energy.

The accurate and efficient extraction of building from remote sensing images is fundamental for applications such as fine urban management, high−precision mapping, and land resource investigation. It is essential to investigate how to leverage image features for intelligent interpretation. This study introduces a global self−attention network with edge−enhancement (E−GSANet) for remote sensing building extraction. The network integrate the edge enhancement module into the encoder backbone, providing the network with a priori knowledge about boundaries, and then establish long−distance dependency relationships between features using the global self−attention feature expression module, enabling the fusion of salient features with edge−enhanced features. A stepwise up−sampling decoding module is designed to fusing the shallow features with rich spatial detail information and the deep features with high−order semantic information to obtain accurate extraction results of buildings. The comparison experiments between E−GSANet and the current mainstream methods is conducted based on two open−source remote sensing building datasets. The quantitative analysis and qualitative demonstrations prove that E−GSANet achieves optimal results across all evaluation metrics, yielding more complete building extractions, precise edges, and higher accuracy. Additionally, network structure ablation experiments and analysis demonstrate the effectiveness of each module.

Embodied intelligence represents a new stage in the evolution of artificial intelligence, marking a transition from "perception−cognition" to an integrated paradigm of "perception−cognition−action." The Vision−Language−Action (VLA) model provides a critical technological pathway for enabling autonomous agent operation in the real world by unifying visual perception, language understanding, and action generation. This paper systematically reviews the development trajectory and representative achievements of VLA technologies, and summarizes their architectural paradigm, which includes multi−modal perception, semantic fusion mechanisms, reinforcement and imitation learning, world models, and hierarchical action output. By considering application scenarios such as autonomous driving, human–computer interaction, and industrial equipment, we further analyze the core challenges faced by VLA development, including the scarcity of data resources, limited generalization and transferability, insufficient interpretability, and increasing computational demands, and we outline the future development trends.

Envisioning the strategic demands for building a modernized powerful nation in 2040 and motivated by the integrated development of new materials, new productive forces, and emerging industries, this manuscript comprehensively analyzes the common requirements of national strategies, relevant policies, and action outlines regarding frontier-disruptive core technologies and critical material development. Based on the advancement and innovation of Materials Genome Engineering's core technologies setting a crucial foundation for key innovations in AI data infrastructure, foundational material models, R&D of new materials, and industrial applications, AI will further accelerate the development of high-throughput intelligent computing software/tools, drive paradigm shifts from high-throughput experimentation to autonomous experimentation, propel the evolution of material AI agents, construct data resource nodes/platforms with standardized specifications, advance new productivity and novel material industries, as well as foster educational paradigm transformation and next-generation talent cultivation. The convergence of Materials Genome Engineering and intelligent science is fundamentally reshaping the underlying logic of material science, technology, and education through a trinity model consisted of ''theoretical reconstruction, technological empowerment, and industrial traction''. This integration represents not merely disciplinary upgrading, but a systematic transformation encompassing scientific paradigms, industrial ecosystems, and talent development models. It will cultivate interdisciplinary professionals crucial for strategic fields such as advanced materials, emerging industries, and future-oriented sectors.

Glioblastoma (GBM), the most aggressive and lethal form of brain cancer, remains a formidable clinical challenge due to its molecular heterogeneity, pronounced invasiveness, the restrictive nature of the blood−brain barrier (BBB), and an immunosuppressive tumor microenvironment. Conventional therapeutic modalities comprising surgical resection, radiotherapy, and chemotherapy, offer limited efficacy, with the 5−year survival rate remaining below 10%. Recent advances in nanotechnology have enabled the rational design of nanocomposite drug systems capable of penetrating the BBB, enabling site−specific drug delivery, and reducing systemic toxicity. These multifunctional nanoplatforms not only enhance the efficacy of chemotherapeutics but also allow integration with immunomodulators, genetic tools, and imaging agents for synergistic multimodal therapies. This review critically examines the clinical and biological landscape of GBM, highlights recent breakthroughs in nanocomposite drug design, and discusses the translational hurdles and future directions toward clinical implementation. Together, these insights offer a forward−looking perspective on leveraging nanotechnology for precision therapy in GBM.

With the continuous advancement of technologies in data acquisition, deep learning, and model generation, data−driven methods have provided a powerful tool for predicting the properties of fiber−reinforced composites, leveraging their unique advantages in uncovering high−dimensional nonlinear relationships, constructing surrogate models, and processing multimodal data. This review systematically reviews recent progress in this field, categorizing digital characterization methods into four types: collection of intrinsic material parameters, image−driven feature extraction, physics−informed feature engineering, and cross−scale data−driven techniques. It summarizes the modeling strategies and prediction accuracy of data−driven models in predicting the mechanical, thermal, acoustic, and electrical properties of composites. The engineering significance of interpretability analysis and uncertainty quantification techniques is elaborated, highlighting their roles in enhancing model transparency and quantifying prediction risks. This review aims to provide a comprehensive perspective—from theoretical foundations to engineering applications—for the deeper application of data−driven methods in predicting the properties of composites.

This review synthesizes the progress and trends in global environmental science for the year 2025, based on research published in leading journals such as Nature, Science, and National Science Review. Current international environmental research is characterized by multi−scale interdisciplinary integration and technology−policy synergy. Key frontiers are identified, including the accounting of global biogeochemical cycles, attribution of extreme climate events, mechanisms of ecosystem functional responses, health effects of atmospheric pollution, and the design of carbon neutrality pathways. Significant breakthroughs have been reported in understanding carbon sink dynamics, data−driven prediction, and carbon emission reduction technologies. China has made prominent contributions in addressing complex local environmental issues and promoting green technology applications. Particularly in the fields of greenhouse gas accounting, PM_2.5 toxicity control, and sectoral decarbonization pathways, practical and distinctive "Chinese solutions" have been developed. However, gaps remain in leading global fundamental scientific inquiries and constructing major original theoretical systems. To advance China's environmental science research to the world forefront, future efforts should focus on deepening global collaborative observation, strengthening interdisciplinary integration, accelerating technology industrialization, and enhancing discourse power in environmental governance.

制造技术联盟是促进关键核心技术攻关的一种重要组织创新模式。以美国国家制造创新网络——制造技术联盟集合体为研究对象，分别从公共价值使命定位、合法性与政治支持、行动能力塑造3个方面分析了“美国制造”的公共价值创造机理，并为国家制造创新中心的建设和优化提供参考和借鉴：在共同使命定位上，凝聚政产学研异质主体之间的合作动力；在合法性与政治支持上，建立立法支持和加强财政支持力度；在行动能力塑造方面，实施利益相关者价值导向的商业化运营模式。

随着风、光伏发电在中国的快速发展，其调峰、消纳和储能问题日益尖锐。调峰离不开煤电，而煤电的低碳化改造主要依靠生物质能；提出了当前物理和电化学储能方式远不能满足风、光伏发电大容量、长时段储能的需要，而生物质是天然的物质化储能物。依靠电能，可以通过气化与合成转化出可长时段储存和方便长距离运输的各种气、液态生物质能；又能在需要为风、光伏发电调峰和调频时，随时驱动蒸气轮机发电。是就地、就近消纳风、光伏发电和长时储能的理想途径。此外，生物质气化技术的突破，又为发展类似现代煤化工和石油化工，但碳排放为零的“生物质化工”提供前提，能生产出多种化石基化学品的替代物。可再生能源和合成材料是生物质新的重要利用方向，准确定位的生物质应用将在中国的能源转型中起到越来越重要的作用。

As a strategic scientific and technological biomedicine field in the 21st century, nanobiomaterials are profoundly reshaping disease diagnosis and treatment paradigms while driving transformative shifts in global scientific competition. The developmental status and strategic challenges of China's nanobiomaterials sector in terms of industry-university-institute are systematically examined. By comparing competitive dynamics across key dimensions, this study highlights China's leading-edge advantages in specific subfields such as biomedical coatings, upconversion imaging probes, and nanozymes, while identifying current structural contradictions such as the disconnection between basic research and application, barriers to interdisciplinary collaboration, and the imbalance between regulation and industry adaptation. Within the framework of the new nationwide system, by drawing on the technological leapfrog experiences of mature industries, we deduce the possible three-phase evolutionary trajectory of China's nanobiomaterials field. From process breakthroughs in the technical development phase to standard dominance in the industrial expansion phase, and ultimately to transformative paradigm innovation in the global leadership phase.This study suggests that China can establish a trinity framework of "technology−industry−governance" solutions based on nanobiomaterials in the bioeconomy era through a clinical demand−driven R&D model, a trillion−level industrial fund strategy, and international standard breakthroughs, thereby providing a practical blueprint for achieving high−level scientific and technological self−reliance.

Functionalized porous carbon materials (PCMs) were prepared by calcining rose pomace as raw material and KOH as activator at high temperature in a resistance furnace at 500 ℃ to investigate the adsorption performance of PCMs for the removal of methylene blue in water.The parameters for the preparation of PCMs were impregnation ratio of 1:1, impregnation time of 4 h, and activation time of 50 min.The PCMs were characterized by scanning electron microscope, Fourier transform infrared spectroscopy spectrometer, and pore size analyser. Characterised by scanning electron microscope, Fourier transform infrared spectrometer and pore size analyser, the PCMs were characterised by the presence of a variety of functional groups on the surface, the specific surface area of 285.112 m²/g, the average pore size of 4.2 nm, the total pore volume of 0.1589 cm³/g, and the percentage of mesopores was 54.05%. Taking the removal rate of methylene blue in printing and dyeing wastewater as an index, the preferred results of one-way experiment were: the dosage of PCMs was 0.15 g, the initial concentration of methylene blue was 80 mg/L, the initial solution pH=11, and the adsorption time was 4 h, under which the removal rate of methylene blue by PCMs could be up to 99.52%; and the optimal adsorption conditions of PCMs obtained from the response surface experiment were as follows: the PCMs The optimal adsorption conditions for PCMs were: PCMs dosage of 0.153 g, initial concentration of methylene blue of 64.35 mg/L, and pH=10.93, which predicted that the removal rate of methylene blue could reach 100%. Kinetic analysis showed that the adsorption of PCMs on methylene blue solution conformed to the quasi-secondary kinetic model (R²=0.9564), and the adsorption isotherm was well fitted by Freundlich (R²=0.9580).

China's pharmaceutical industry has made remarkable progress in development, yet it also faces significant challenges in technological innovation and industrial upgrading. This paper provides a systematic overview of the technological architecture underlying synthetic biomanufacturing, highlighting its core advantages grounded in the use of renewable feedstocks, environmentally benign processes, and superior atom economy. On this basis, the paper offers an in−depth discussion of the innovative applications and recent advancements of synthetic biomanufacturing in the synthesis of chemical active pharmaceutical ingredients, bioactive constituents of modernized traditional Chinese medicine, and macromolecular therapeutics including proteins and antibodies. Despite its promising outlook, the field still faces key constraints such as suboptimal technology translation efficiency, barriers to interdisciplinary integration, and limited end−to−end process consolidation across the value chain. To overcome these limitations, it is imperative to strengthen AI−enabled enzyme engineering and metabolic pathway optimization, while promoting deeper convergence with materials science, chemical engineering, and related disciplines to establish next−generation biomanufacturing platforms. In conclusion, synthetic biomanufacturing represents both a strategic driver and an indispensable pathway for advancing China's pharmaceutical industry toward greater precision, efficiency, and intelligence, thereby reinforcing its global competitiveness.

随着中国污染控制进入深水区和“双碳”目标的提出，传统污染源治理技术在碳污协同减排和多介质污染协同控制等方面面临诸多挑战，亟需探索环境治理新范式。针对城市环境复合污染治理难题，将污染控制由排放源拓展至环境过程，论述了通过人工手段强化城市环境的自净功能，利用自然界的光、热、风、氧、水等条件实现污染物的环境过程净化，耦合气-水-土多介质人工强化环境自净技术构建“自净城市”，有望成为环境保护工作新的增长点，从而巩固当前污染源排放控制的成果，保障环境质量持续改善。在此基础上，对污染物环境过程净化、自净城市的理论与技术进行了介绍，如将气–水–土多介质人工强化环境自净技术在城市区域进行多场景、多过程、全方位应用，以提升城市环境容量，持续改善城市环境质量，并对城市环境污染物自净过程与机制、人工强化自净材料与技术、多介质环境自净应用策略与方案、城市环境自净能力评估4方面提出了发展建议。

Cross−seasonal heat storage technology can effectively coordinate the mismatch between energy supply and demand in time and space, and use solar energy, air energy and other energy clean energy or industrial waste heat and building air conditioning waste heat as heat sources to realize the summer storage and winter use of energy, and provide a new technical route for building winter heating, coal to clean energy, and regional energy supply. This paper summarizes the classification and system working principle of cross−seasonal heat storage technology, compares the main technologies, lists relevant policies at the national and local levels, reviews the research status of cross−seasonal heat storage technology at home and abroad, and the patent development of this technology, and looks forward to the future development of cross−seasonal heat storage technology.

Artificial intelligence (AI) is profoundly transforming the paradigms and methodologies of advanced materials research and development. This review systematically examines cutting−edge advances in AI applications across materials composition/structure design, property prediction, synthesis optimization, and industrial implementation. By integrating data−driven approaches, physics−informed modeling, and autonomous experimental systems, AI has enabled high−accuracy cross−scale performance prediction, inverse design of materials with extreme properties, intelligent optimization of synthesis processes, and non−destructive defect detection, significantly accelerating development cycles while overcoming performance bottlenecks. The work highlights breakthroughs in representative case studies including high−throughput screening of stable crystals, targeted development of radiative cooling materials, and optimization of electrolytes for high−voltage batteries, while elucidating how techniques such as few−shot learning, transfer learning, and physics−constrained algorithms address challenges in data scarcity and multiscale modeling. Looking forward, the synergistic convergence of AI with quantum computing and generative design will propel materials innovation toward an accelerated transition to advanced paradigms characterized by data−driven workflows, autonomous decision−making, and intelligent iteration.