Core Insights - The integration of AI into psychology is driven by the increasing demand for mental health services and the potential for AI to enhance efficiency while raising concerns about data security and ethical implications [1][2][6] Group 1: AI Usage in Psychology - Over 56% of psychologists have used AI tools in the past year, a significant increase from 29% in 2024 [2] - The most common uses of AI among psychologists include assisting with administrative tasks such as email writing (52%), content generation (33%), summarizing clinical notes (32%), and note-taking (22%) [3] - Only 8% of psychologists using AI apply it directly for clinical diagnosis, and just 5% use chatbots to assist patients [3] Group 2: Concerns and Risks - 92% of psychologists express concerns about the application of AI in psychology, with worries about data breaches, social harm, bias, lack of rigorous testing, and inaccurate outputs [2][6] - The need for clear guidelines is emphasized to ensure the responsible integration of AI, including obtaining informed consent from patients and assessing potential biases in AI tools [6] Group 3: Demand for Mental Health Services - A study indicates that the percentage of young individuals seeking mental health services has increased from 5.8% for those born in 1991 to 20.2% for those born in 2005, highlighting a nearly fourfold rise in demand [4] - The growing number of young patients suggests that traditional mental health services may be insufficient to meet current needs, necessitating the adoption of AI to improve service efficiency [5]

Core Insights - Scientists from the Allen Institute and the Howard Hughes Medical Institute have developed a special protein called iGluSnFR4, which serves as a molecular "glutamate indicator" for real-time observation of neuronal communication in the brain [1][2] - This breakthrough aids in deciphering the hidden "language" of the brain and enhances understanding of its complex neural circuitry [1] Group 1: Technological Advancements - iGluSnFR4 addresses the challenge of previously only being able to record signals emitted by neurons, allowing scientists to "hear" the input signals that neurons receive [2] - The protein is highly sensitive to glutamate, enabling the detection of the weakest input signals between neurons, thus providing new pathways for analyzing the complex cascade of electrical activities that support learning, memory, and emotions [2] Group 2: Implications for Neurological Research - Abnormal glutamate signaling is associated with various neurological disorders, including Alzheimer's disease, schizophrenia, autism, and epilepsy [2] - The ability to observe synaptic activity more precisely with iGluSnFR4 allows for deeper investigation into the mechanisms underlying these diseases [2]

Core Viewpoint - The European Commission's Foreign Subsidies Regulation (FSR) is perceived as discriminatory against Chinese companies, leading to significant operational challenges and financial losses for these firms in the EU market [1][3][4]. Group 1: FSR Implementation and Impact - The FSR, effective from July 2023, mandates companies involved in EU public tenders or mergers exceeding certain thresholds to declare foreign subsidies received [1]. - Since its implementation, the European Commission has received 2,100 declarations but has only conducted three in-depth investigations, all targeting Chinese technology firms in the renewable energy and transportation sectors [2]. - The FSR has reportedly caused direct and indirect losses to Chinese companies amounting to approximately €2.1 billion [3]. Group 2: Legal and Operational Challenges - The lack of transparency in the FSR's enforcement has raised concerns about "black box" governance, with limited information available even for investigated cases [2]. - Compliance with the FSR imposes significant administrative burdens on companies, requiring extensive data collection on foreign subsidies, which can include loans, capital injections, debt relief, and tax benefits [3]. Group 3: Broader Economic Implications - The FSR is seen as damaging to the EU's business environment, creating administrative pressures not only for Chinese firms but also for other international companies operating in the EU [3]. - The regulation is criticized for potentially undermining EU-China economic cooperation, which is vital for energy transition, supply chain security, and infrastructure development [4].

据了解，高端耐热细晶铜板带集成制造技术的产业化应用不仅带动了行业技术升级，更强化了相关产业 链供应链的自主安全与竞争力。宁波金田铜业、福建紫金铜业等企业应用该技术后，实现了产能与效益 双提升。其中，宁波金田铜业生产的高端铜板带不仅实现了国产化，更批量出口至欧美、韩国等市场。 （文章来源：科技日报） 经多年研发，该公司项目团队在3个核心环节取得系统性突破。一是开发出细晶低硬度铜板带加工技 术，产品性能精准匹配新能源电池需求。二是创新"循环形变热处理"技术，使铜板带在保持高导电率的 同时，具备优异的高温稳定性。三是研制出形性一体化关键装备，攻克表面缺陷控制难题，大幅提升产 品成材率。目前，该项目已构建起完整的自主知识产权体系，获得17项授权发明专利。 记者从中色科技股份有限公司获悉，日前，由该公司牵头，联合中南大学、宁波金田集团共同完成 的"高端耐热细晶铜板带集成制造技术及关键装备开发与应用"项目，获得中国质量协会质量技术奖。该 成果攻克了我国在IGBT（绝缘栅双极晶体管）散热模组用高耐热铜板带、新能源电池连接器用细晶低 硬度铜板带领域长期面临的技术瓶颈，标志着我国高端铜板带加工实现从"依赖进口"到"自主可控"的 ...

冬季，羽绒服、冲锋衣等衣物消费热度攀升，聚酯纤维作为其核心面料，最近却和塑料瓶画上了等号。 聚酯纤维能稳居"合成纤维第一大品种"，与其突出的性能优势密不可分。该面料耐皱性好、弹性佳、尺 寸稳定，兼具良好的电绝缘性能，不霉不蛀。通过技术改性，聚酯纤维可实现仿棉、仿毛等多种质感， 还能被赋予阻燃、抗菌、防紫外线等功能，适配从速干衣到羽绒服的多样穿着需求。 "两者在生产工艺、结构设计和性能标准上存在本质区别。"李德利告诉记者，正如小麦既能做面包也能 酿啤酒，聚酯纤维和塑料瓶也是原料一致，但因加工方式不同而成为截然不同的两种产品。PET经纺丝 工艺拉制成丝状，即为聚酯纤维（俗称涤纶）；经吹瓶工艺注塑成型，则成为塑料瓶。从分子特性来 看，制作塑料瓶的PET分子量和黏度更高，能够满足包装的强度需求；而制作聚酯纤维的PET分子量和 黏度相对更低，降低了拉丝难度与生产成本。 "穿塑料瓶"的说法，实则源于再生聚酯纤维的生产流程。太原理工大学纺织系主任、副教授史晟介绍， 目前市场上的聚酯纤维面料主要有两方面来源，一是直接由石油化工原料生产，称为"原生涤纶"，二是 用废旧塑料瓶等（主要是PET材质）生产，称为"再生涤纶""环保涤纶 ...

为推动加速各种场景应用，交通运输部启动"十百千"创新行动。李扬介绍，该行动聚焦智慧公路、智慧 航运等"十"个方向，面向"百"项场景进行试点布局，聚集"千"家创新主体。同时，采用"科技+工程"方 式，聚焦大通道货车智能驾驶和内河货运船舶自主编队航行等重大场景，建设一批标志性创新工程。 "人工智能应该说是一种革命性的技术发展潮流，对于各行各业都是赋能的最佳契机。"23日，在国务院 新闻办公室就新时代交通运输服务经济社会高质量发展举行的新闻发布会上，交通运输部副部长李扬表 示，交通运输行业作为人工智能落地领域，场景多元、数据丰富、应用需求巨大，是一个庞大的人工智 能应用场景。 交通运输部高度重视人工智能应用。今年9月，交通运输部会同国家发展改革委等六部门，印发《关 于"人工智能+交通运输"的实施意见》，对人工智能在公路、铁路、水路、民航、邮政和综合交通方面 进行了总体部署，画出了"路线图"。 同时，李扬表示，交通运输部将进一步完善治理体系，推动交通运输领域人工智能标准化建设，有序推 进高质量数据集、智能体应用、安全测评等关键领域的标准布局，积极参与国际标准制定和规则对接， 构建开放包容的制度体系。 "'十五五'期间 ...

Core Viewpoint - The recent failures in rocket recovery by Chinese aerospace highlight the inherent high-risk nature of space exploration, emphasizing the need for continued experimentation and acceptance of trial and error in advancing technology [2][3]. Group 1: Recent Events - On December 23, China launched the Long March 12A rocket, but the first stage was not successfully recovered, with the cause under investigation [1]. - Just 20 days prior, Blue Arrow Aerospace's Zhuque-3 rocket also failed during the recovery phase [1]. Group 2: Industry Context - The recent setbacks have temporarily sidelined China's reusable rocket sector, which has seen rapid development in recent years, often overshadowing the high-risk attributes of space missions [2]. - The complexity of rocket recovery is likened to "throwing a needle from tens of thousands of meters and ensuring it lands in a predetermined hole," illustrating the significant challenges faced [2]. Group 3: Future Implications - The failures expose current technical shortcomings and underscore the difficulties ahead for China's space endeavors, with flight data from these tests being crucial for overcoming challenges and mastering key technologies [3]. - Acknowledging the risks and embracing trial and error is essential for progress in aerospace exploration, as each attempt contributes to the broader understanding and capability in the field [3].

两部门印发《意见》：到2030年光热发电总装机规模力争达1500万千瓦 《意见》指出，光热发电兼具调峰电源和长时储能的双重功能，能够实现用新能源调节支撑新能源，能 够为电力系统提供长周期调峰能力和转动惯量，具备在部分区域作为调峰和基础性电源的潜力，是实现 新能源安全可靠替代传统能源的有效手段，是加快构建新型电力系统的有效支撑。同时，光热发电产业 链长，规模化开发利用将成为我国新能源产业新的增长点。 "经过多年发展，我国已成功掌握塔式、槽式、菲涅尔式等主流光热发电技术，已建成全球领先的光热 发电产业链，电站单位千瓦建设成本从10年前的约3万元下降至1.5万元，度电成本降至0.6元上下，已初 步具备规模化发展的基础。"国家能源局有关负责人介绍，我国光热发展还面临初始投资大、市场竞争 能力偏弱、系统支撑调节价值未充分体现、产业技术水平仍需提升的问题。 为充分发挥光热发电对新型电力系统的支撑调节作用，《意见》明确，发挥光热发电大规模、低成本和 高安全储热系统功能，利用光热宽负荷调节范围和快速变负荷能力，发挥深度调峰能力，提升电力系统 调节能力。 聚焦加快推动光热发电技术与产业创新，《意见》要求，加快关键技术突破，促进 ...

Core Viewpoint - The research team from the University of Science and Technology of China has achieved a significant milestone in quantum error correction using the "Zu Chongzhi 3.2" superconducting quantum processor, demonstrating a logical error rate below the error correction threshold, paving the way for large-scale fault-tolerant quantum computing [1][2]. Group 1 - The achievement involves implementing quantum error correction with a code distance of 7, resulting in a significant decrease in logical error rates as the code distance increases [1][2]. - The research introduces a novel "full microwave quantum state leakage suppression architecture," which has shown to work below the error correction threshold, achieving the goal of "correcting more leads to more accuracy" [2]. - The error suppression factor reached 1.4, indicating that the system operates effectively within the desired parameters for quantum error correction [2]. Group 2 - The full microwave quantum state leakage suppression architecture offers inherent frequency division multiplexing characteristics, providing significant advantages in hardware efficiency and scalability compared to Google's technology [3]. - This advancement presents a more favorable solution for constructing million-qubit level quantum computers in the future [3].

Core Viewpoint - The Hubei Lian Investment Donghu High-tech Group is advancing its AI-based efficient flue gas denitrification system project, which aims to enhance denitrification efficiency using artificial intelligence, addressing stricter national emission standards for nitrogen oxides in waste incineration [1][2]. Group 1: Project Overview - The AI intelligent efficient flue gas denitrification system is a pioneering technology in China, designed to improve denitrification efficiency beyond the typical 30%-50% range of existing methods [1]. - The project team consists of over 10 highly educated members, including 8 PhDs and 4 master's degree holders, and was officially initiated in May [1]. Group 2: Project Timeline and Goals - The project aims to complete demonstration applications, publish papers, apply for patents, and conclude by March 2027, with key milestones set every six months [2]. - The first phase involves completing the system design by July 2024, followed by construction and debugging until January 2027 [2]. Group 3: Related Projects and Achievements - The project led by Tian Luning on "Energy-Economy-Environment Coupling Model for Zero Carbon Development Path" has successfully concluded, resulting in Hubei's first low-carbon park standard [2]. - A new project focusing on bioremediation agents for polluted soil and eutrophic water bodies has been approved with a total funding of 18 million yuan, set to be implemented by December 2027 [2][3]. Group 4: Strategic Importance - The "Revealing the List and Taking the Lead" mechanism is highlighted as an effective method for tackling key technological challenges and promoting practical application of research outcomes [3]. - The company has engaged in collaborations with research institutions to ensure that technological achievements align closely with actual industry needs, generating over 100 million yuan in application value during the 14th Five-Year Plan period [3].