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An efficient multi-stage atmospheric water harvester empowered by energy storage and latent heat recovery. 一种高效的多级大气水收集器,具有能量储存和潜热回收能力。
IF 21.1 1区 综合性期刊 Q1 MULTIDISCIPLINARY SCIENCES Pub Date : 2026-03-03 DOI: 10.1016/j.scib.2026.03.003
Jiaxing Xu, Bin Yin, Hanyu Chen, Zichao Xiong, Xiuyu Liu, Caojie Yu
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引用次数: 0
Machine learning-based predictive system for cycloplegic autorefraction in children: advancing early myopia detection and warning. 基于机器学习的儿童睫状体麻痹性自体屈光预测系统:推进早期近视检测与预警。
IF 21.1 1区 综合性期刊 Q1 MULTIDISCIPLINARY SCIENCES Pub Date : 2026-03-03 DOI: 10.1016/j.scib.2026.03.001
Lei Wang, Zhiyu Xia, Kai Wang, Yingli Li, Tianhui Shao, Sitong Chen, Jingwei Zhou, Yan Li
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引用次数: 0
The emerging role of high-throughput proteomics in advancing precision medicine. 高通量蛋白质组学在推进精准医学中的新兴作用。
IF 21.1 1区 综合性期刊 Q1 MULTIDISCIPLINARY SCIENCES Pub Date : 2026-03-02 DOI: 10.1016/j.scib.2026.02.054
Jia You, Yue-Ting Deng, Luo Chen, Lin-Bo Wang, Yu Guo, Ze-Yu Li, Jian-Feng Feng, Jin-Tai Yu, Wei Cheng

Proteins serve as the fundamental executors of cellular function and the key mediators linking genome to phenome, offering unique insights into the molecular mechanisms underlying human diseases. Recent technological breakthroughs have enabled the quantification of thousands of proteins, opening an unprecedented avenue for exploring human health at the proteome level. As proteomic data generation expands in scale and depth, new opportunities are emerging to translate proteomic signatures into clinical practice, paving the way toward precision medicine. In this review, we summarize current progress using proteomics for biomarker discovery, disease diagnosis and prediction, and drug development. We further highlight innovative artificial intelligence strategies that have revolutionized proteomics analysis and interpretation. Finally, we discuss the key challenges, limitations, and future perspectives essential for realizing the full potential of proteomics in precision medicine.

蛋白质作为细胞功能的基本执行者和连接基因组与表型的关键介质,为人类疾病的分子机制提供了独特的见解。最近的技术突破使数千种蛋白质的量化成为可能,为在蛋白质组水平上探索人类健康开辟了前所未有的途径。随着蛋白质组学数据生成在规模和深度上的扩展,将蛋白质组学特征转化为临床实践的新机会正在出现,为精准医学铺平了道路。本文综述了蛋白质组学在生物标志物发现、疾病诊断和预测以及药物开发等方面的研究进展。我们进一步强调了创新的人工智能策略,这些策略彻底改变了蛋白质组学分析和解释。最后,我们讨论了实现精准医学中蛋白质组学的全部潜力所必需的关键挑战、限制和未来前景。
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引用次数: 0
Intelligent textile interface for robust multimodal biophysical sensing to enhance driving safety. 智能纺织界面鲁棒多模态生物物理传感,提高行车安全性。
IF 21.1 1区 综合性期刊 Q1 MULTIDISCIPLINARY SCIENCES Pub Date : 2026-03-02 DOI: 10.1016/j.scib.2026.02.055
Yuanyuan Zheng, Qian Ye, Haicheng Yao, Yichi Zhang, Huanhuan Liu, Yifeng Zhang, Duo Li, Jingxia Wu, Kun Zhang, Songlin Zhang, Xuemei Sun, Zhaohui Wang, Bingjie Wang, Huisheng Peng, Peining Chen

Adverse driver states account for approximately 30% of global traffic injuries, highlighting the need for real-time monitoring strategies that remain robust under complex real-world driving conditions. However, current vision-based driver monitoring systems are constrained by occlusion sensitivity, environmental interference, and privacy concerns, posing a risk of monitoring interruption. Herein, we report a skin-contact, privacy-preserving intelligent textile interface featuring a topologically invariant knitted architecture that enables robust, continuous multimodal biophysical sensing in vehicles. This is achieved through intrinsic mesoscale structural self-adaptation to complex contact interfaces. The synergistic effect of loop stretching, twisting, and sliding within the textile architecture promotes uniform stress distribution, resulting in exceptional adaptability to irregular surfaces. This design exhibits a bending modulus nearly five orders of magnitude lower than that of traditional polyimide film electrodes, along with an approximately 21-fold reduction in skin-contact impedance. It delivers clinical-grade ECG waveform fidelity and quantifies grip force with a sensitivity of 0.348 kPa-1 across a 1.25 MPa dynamic range. Real-world validation over 70 km of mixed urban traffic demonstrates real-time monitoring of driver posture and behaviours through 25-channel multimodal signal fusion, while integrated electroluminescent modules provide posture-responsive visual feedback. The textile interface also meets automotive durability requirements, withstanding 100,000 compression cycles, 50,000 abrasion cycles, and 7 d of thermal and chemical exposure (-40 to 100 °C, ultraviolet light, sweat) without signal degradation, confirming its suitability for long-term in-vehicle use. This study establishes a privacy-preserving, skin-contact paradigm for robust biophysical signal acquisition, enabled by a highly adaptive, topologically invariant intelligent textile interface.

不良驾驶状态约占全球交通伤害的30%,这凸显了在复杂的现实驾驶条件下保持稳健的实时监测策略的必要性。然而,目前基于视觉的驾驶员监测系统受到遮挡敏感性、环境干扰和隐私问题的限制,存在监测中断的风险。在此,我们报告了一种皮肤接触、隐私保护的智能纺织品接口,该接口具有拓扑不变的针织结构,可以在车辆中实现鲁棒、连续的多模态生物物理传感。这是通过对复杂接触界面的内在中尺度结构自适应实现的。纺织结构内的环拉伸、扭转和滑动的协同效应促进了均匀的应力分布,从而对不规则表面产生了特殊的适应性。该设计显示出比传统聚酰亚胺薄膜电极低近5个数量级的弯曲模量,同时皮肤接触阻抗降低了约21倍。它提供临床级ECG波形保真度,并在1.25 MPa动态范围内以0.348 kPa-1的灵敏度量化握力。在超过70公里的混合城市交通中,通过25通道多模态信号融合验证了驾驶员姿势和行为的实时监控,而集成的电致发光模块提供姿势响应视觉反馈。纺织界面也符合汽车耐久性要求,承受100,000次压缩循环,50,000次磨损循环,以及7天的热和化学暴露(-40至100°C,紫外线,汗水)而无信号退化,证实其适合长期在车内使用。本研究建立了一种隐私保护、皮肤接触的鲁棒生物物理信号采集范例,通过高度自适应、拓扑不变的智能纺织品界面实现。
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引用次数: 0
Satellite radar reveals nearly 20% permafrost undergoing interannual subsidence in the Tibetan Plateau. 卫星雷达显示青藏高原近20%的永久冻土年际沉降。
IF 21.1 1区 综合性期刊 Q1 MULTIDISCIPLINARY SCIENCES Pub Date : 2026-03-01 DOI: 10.1016/j.scib.2026.02.051
Huadong Guo, Lichuan Zou, Chao Wang, Xin Li, Yixian Tang, Zhengjia Zhang, Peifeng Ma, Fan Wu, Hong Zhang
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引用次数: 0
Anatomical connectivity development constrains medial–lateral topography in the dorsal prefrontal cortex 解剖连通性的发展限制了背侧前额皮质的内外侧地形。
IF 21.1 1区 综合性期刊 Q1 MULTIDISCIPLINARY SCIENCES Pub Date : 2026-02-28 Epub Date: 2025-08-25 DOI: 10.1016/j.scib.2025.08.045
Wen Li , Weiyang Shi , Haiyan Wang , Jin Li , Congying Chu , Yu Zhang , Yue Cui , Luqi Cheng , Kaixin Li , Yuheng Lu , Liang Ma , Ming Song , Zhengyi Yang , Tobias Banaschewski , Arun L.W. Bokde , Sylvane Desrivières , Herta Flor , Antoine Grigis , Hugh Garavan , Penny Gowland , Tianzi Jiang
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引用次数: 0
Diamide insecticides impair honey bee queen reproduction and colony development 二胺类杀虫剂危害蜂王繁殖和蜂群发育。
IF 21.1 1区 综合性期刊 Q1 MULTIDISCIPLINARY SCIENCES Pub Date : 2026-02-28 Epub Date: 2025-12-15 DOI: 10.1016/j.scib.2025.12.013
Yong Huang , Quan Gao , Qibao He , Jinjing Xiao , Qiongqiong Liu , Yuying Liu , Min Liao , Yanhong Shi , Tengfei Shi , Yancan Wu , Qing Yang , Linsheng Yu , Bruce D. Hammock , Sibao Wang , Haiqun Cao
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引用次数: 0
Molecular crystal memristor-based edge AI platform for energy-efficient and real-time smart grid inspection 基于分子晶体忆阻器的边缘AI节能实时智能电网检测平台。
IF 21.1 1区 综合性期刊 Q1 MULTIDISCIPLINARY SCIENCES Pub Date : 2026-02-28 Epub Date: 2025-12-01 DOI: 10.1016/j.scib.2025.11.062
Pengfei Guan , Lanhao Qin , Ke Ning , Jie Liu , Decai Ouyang , Yimeng Yu , Jinsong Wu , Xing Lu , Yingshuang Fu , Yuan Li , Huiqiao Li , Tianyou Zhai
Vast power grid infrastructure generates enormous volumes of inspection data from smart meters, unmanned aerial vehicle (UAV) patrols, and high-definition video monitoring. Meeting the demand for real-time analysis places stringent requirements on latency, energy efficiency, and on-device intelligence at the edge. Here, we present a molecular crystal memristor-based edge artificial intelligence (AI) hardware platform that can be directly deployed in inspection devices, enabling real-time grid monitoring with drastically reduced computational and storage overheads. The memristor exhibits highly controllable filamentary switching behavior, stable multi-level conductance states, femtowatt-scale power consumption, and outstanding retention. Leveraging these properties, the platform enables fully hardware-integrated convolution, achieving 97% feature-extraction accuracy and 67.75 TOPS/W energy efficiency, thereby substantially alleviating the computational and storage load of cloud servers. This work establishes a scalable and energy-efficient in-memory computing framework for smart grid inspection and provides a powerful foundation for broader edge AI applications.
庞大的电网基础设施从智能电表、无人机(UAV)巡逻和高清视频监控中产生了大量的检查数据。满足实时分析的需求对边缘的延迟、能效和设备上的智能提出了严格的要求。在这里,我们提出了一个基于分子晶体忆阻器的边缘人工智能(AI)硬件平台,可以直接部署在检测设备中,实现实时网格监控,同时大大降低了计算和存储开销。该忆阻器具有高度可控的丝状开关行为、稳定的多级电导状态、飞瓦级功耗和出色的保持性能。利用这些特性,该平台实现了完全硬件集成的卷积,实现了97%的特征提取精度和67.75 TOPS/W的能源效率,从而大大减轻了云服务器的计算和存储负载。这项工作为智能电网检测建立了可扩展和节能的内存计算框架,并为更广泛的边缘人工智能应用提供了强大的基础。
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引用次数: 0
The human-AI empathy loop: a path toward stronger human-AI relationships 人类与人工智能的同理心循环:通往更强大的人类与人工智能关系的途径。
IF 21.1 1区 综合性期刊 Q1 MULTIDISCIPLINARY SCIENCES Pub Date : 2026-02-28 Epub Date: 2025-10-21 DOI: 10.1016/j.scib.2025.10.027
Ruolei Gu , Yuqing Zhou , Suchen Yao , Yuan Zhou , Fang Cui , Frank Krueger , Grit Hein , Li Hu
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引用次数: 0
Drift-free memory material for wide-temperature neuromorphic computing 用于宽温神经形态计算的无漂移记忆材料。
IF 21.1 1区 综合性期刊 Q1 MULTIDISCIPLINARY SCIENCES Pub Date : 2026-02-28 Epub Date: 2025-12-16 DOI: 10.1016/j.scib.2025.12.024
Siqi Tang , Pandeng Xuan , Yisi Xiong , Ming Xu , Riccardo Mazzarello , Xiangshui Miao
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