Shi‐Yang Tang

ConvMem: Convolutional Memory for Long-Context Reasoning

Hongming Zhang, Zhaozhen Gu, Fengshuo Bai, Ming Hao et autres

While Large Language Models (LLMs) have demonstrated impressive capabilities, they often struggle with extremely long contexts due to fixed context limits. To address this, sequential approaches like MemAgent extend the effective context by reading text in segments and iteratively updating a fixed-size …

Artificial intelligence for CRISPR-based biosensing: From molecular design to assay intelligence

Rongfeng Wang, Qingtian Zhang, Sukrit Gaira, Yuanyi Zhao et autres

CRISPR-based biosensors are emerging as powerful tools in precision medicine, enabling rapid and highly specific molecular detection for personalized interventions. Their performance depends on interconnected components. Guide RNA (gRNA) design and optimization improve on-target activity and reduce off-target effects, while Cas protein …

au, gb (code pays fourni par la source)

Optimization of preparation process parameters for light closed cell structure of coal gangue based foam ceramic

Shi‐Yang Tang

To address the multi-parameter collaborative regulation required for preparing coal gangue-based foam ceramics with a light closed-cell structure, this study used a coal gangue–diatomite composite system. The mass ratio of coal gangue to diatomite was fixed at 7:3, the holding time was …

cn (code pays fourni par la source)

Continuum tactile sensing via an amplified liquid metal interface

E G Wang, Mingyuan Sun, Du‐An Ge, Shuai Dong et autres

Multimodal tactile sensing is crucial for next-generation robotics and human-machine interaction, but conventional solutions based on discrete sensor arrays suffer from complexity, limited flexibility, and high fabrication costs. Here, we introduce a continuum sensing paradigm based on a continuous liquid metal enabled …

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Gallium in liquid state shows nuclease-mimicking activity

Li Liu, Jiewei Zheng, Xi Lu, Chowdhury Sarowar et autres

Replicating biological systems using non-living materials, from the foundational molecular level to complex tissue structures, is central to abiotic mimicry. Enzymes play a vital role in these systems; however, replicating their enzymatic power with minimal components remains a key challenge. Here we …

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Integrating Artificial Intelligence With Droplet‐Based Microfluidics: Advances, Challenges, and Emerging Opportunities

Junyan Lai, Sukrit Gaira, Rongfeng Wang, Qingtian Zhang et autres

Droplet‐based microfluidics has revolutionized the lab‐on‐a‐chip field by enabling precise generation and manipulation of monodisperse droplets that act as independent microreactors. Over two decades, innovations in passive geometries and active control methods have facilitated a wide range of droplet operations, driving applications …

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Liquid metal universal grippers for gentle, adaptable, multiscale manipulation

Xuanhan Chen, Mingkui Zhang, Lu Cao, Dinggang Fan et autres

The amoeba can flow like liquid to change its morphology to effectively capture and excrete various prey. Inspired by the amoeba, we present a liquid metal universal gripper capable of effective grasping and active releasing of targets with various shapes, sizes, and …

cn, au, gb (code pays fourni par la source)

Nanoparticles in microdroplets: Recent advances in microfluidic generators for producing functional microbeads

Bayinqiaoge, Chengchen Zhang, Shi‐Yang Tang

Abstract Biomarkers reflect physiological states and disease progression in the human body. Their precise detection is crucial for accurate and effective diagnosis. Functional hybrid microbeads (FHMBs) with electrical, magnetic, and/or optical responsiveness have emerged as versatile platforms for signal amplification, transduction, and …

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EM3M: An Electron Micrograph Dataset for Microstructural Segmentation and Generation

Nan wang, Zhiyi Xia, Yiming Li, Shi‐Yang Tang et autres

Advances in conductive microneedles: From fabrications to applications

Qi Zhang, Sukrit Gaira, Junyan Lai, Rongfeng Wang et autres

Conductive microneedles (CMNs) combine the minimally invasive characteristics of microneedles with the electrical functionality required for sensing, recording, stimulation, and controlled drug delivery. By penetrating the stratum corneum with reduced pain and tissue damage, they provide efficient access to the skin microenvironment …

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Fast, Strong Capillary Liquid Metal Muscles

Tim Cole, Jiahao Zheng, Jian Shu, Bayinqiaoge Bayinqiaoge et autres

Harnessing the surface tension of liquids to perform mechanical work is commonly seen in nature. Effectively utilising liquid surface energy requires dynamic surface tension tuning; however, for common liquids like water and oil, existing tuning methods are inefficient, irreversible, or limited in …

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Controllable Liquid Metal Microparticles Production and Patterning by Miniaturized Filter‐Sieve Generators (Small Methods 11/2025)

Qingtian Zhang, Hongda Lu, Xiangbo Zhou, Liping Gong et autres

Inside Back Cover In article number 2500301, Lu, Tang, Li, and co-workers introduce a miniaturized filter-sieve generator as an innovative, compact platform for scalable production and patterning of liquid metal microparticles. By leveraging a simple electrochemical mechanism, the platform achieves high productivity, …

au (code pays fourni par la source)