Zhao Li

Dark/dark-bright-bright switchable mode-locked fiber laser based on TaTe 2 saturable absorber

Yi-Xiang Wang, Guangzhao Zhu, Yaqing Zhai, Faming Ye et autres

Abstract This paper demonstrates the switchable operation between dark and dark-bright-bright pulses in erbium-doped fiber laser using TaTe 2 as saturable absorber (SA). The TaTe 2 SA, fabricated via the liquid phase exfoliation method, exhibits modulation depth of 4.7%, nonsaturable loss of …

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Novel Ultrafast Sample-to-Answer Microfluidic Platform for Highly Sensitive On-Site Quantification of Avian Influenza Virus

Menghao Chai, Xiaofei Liu, J. Ping Liu, Feng Chen et autres

Avian influenza virus (AIV) poses a global biosecurity threat, highlighting the need for rapid, accurate, and adaptable diagnostic tools to address its genetic diversity and complex transmission environments. Here, we report the development of FIGHTER, a novel ultrafast sample-to-answer microfluidic platform for …

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Tuning the Liquid-Liquid Phase Separation of FUS by Phosphorylation: A Role of Domain-Specific Compensation

Si-Cheng Tong, Jin Zhang, Zhao Li, Zhong‐Yuan Lu

Biomolecular condensates, a type of subcellular or membraneless organelle, form through liquid-liquid phase separation (LLPS) driven by multivalent interactions. As an RNA-binding protein, FUS participates in biological processes by forming dynamic liquid condensates via LLPS, with its abnormal fibrous aggregation associated with …

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Exploration of the assessment of clinical decision-making capabilities in Clinical Oncology based on generative large language models

Zhao Li, Chunyan Yang, Chunhui Chen, Tingting Wang et autres

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Sharpness-aware Zeroth-order Optimization for Graph Transformers

Yang Liu, Chuan Zhou, Yuhan Lin, Shuai Zhang et autres

Graph Transformers (GTs) have emerged as powerful tools for handling graph-structured data through global attention mechanisms. While GTs can effectively capture long-range dependencies, they introduce difficulties in optimization due to their complex, non-differentiable operators, which cannot be directly handled by standard gradient-based …

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Advances in lymphoma biomarkers research based on proteomics technology (Review)

Jianmin Ling, Zhao Li, Lintao Bi

Lymphoma is a common malignancy characterized by diverse pathological types and marked heterogeneity. Distinct subtypes of lymphomas are markedly different in their clinical manifestations, treatment approaches and prognostic outcomes. With the rapid development of molecular biology techniques, antitumor research has stepped into …

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IPAMD: A Plugin-Based Software for Biomolecular Condensate Simulations

Xiaoyang Liu, You‐Liang Zhu, Yuze Jiang, Shaokang Shi et autres

The study of intrinsically disordered proteins (IDPs) and their role in biomolecular condensate formation has become a critical area of research, offering insights into fundamental biological processes and therapeutic development. Here, we present IPAMD (Intrinsically disordered Protein Aggregation Molecular Dynamics), a plugin-based …

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Large Language Model Enhanced Knowledge Representation Learning: A Survey

Xin Wang, Zirui Chen, Haofen Wang, Leong Hou U et autres

Abstract Knowledge Representation Learning (KRL) is crucial for enabling applications of symbolic knowledge from Knowledge Graphs (KGs) to downstream tasks by projecting knowledge facts into vector spaces. Despite their effectiveness in modeling KG structural information, KRL methods are suffering from the sparseness …

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SVIT‐SSR: A sEMG‐based vision transformer approach for silent speech recognition

Zhao Li, Bin Ma, Weifan Mao, Jianxing Zhang et autres

Abstract Silent speech recognition (SSR) based on surface electromyography (sEMG) is a voice interaction technology proposed for scenarios requiring silent operations. This article abstracts the SSR task based on sEMG into a short‐term image sequence classification task. Time‐frequency domain feature extraction and …

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SVIT-SSR:A sEMG-based Vision Transformer Approach for silent speech recognition

Zhao Li, Bin Ma, Weifan Mao, Jianxing Zhang et autres

Silent Speech Recognition (SSR) based on Surface Electromyography (sEMG) is a voice interaction technology proposed for scenarios requiring silent operations. In this article, we abstract the SSR task based on sEMG into a short-term image sequence classification task. We perform time-frequency domain …

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Coarse-Grained Modeling of Liquid–Liquid Phase Separation in Cells: Challenges and Opportunities

Shaokang Shi, Zhao Li, Zhong‐Yuan Lu

Liquid-liquid phase separation (LLPS) within cells gives rise to membraneless organelles, which play pivotal roles in numerous cellular functions. A comprehensive understanding of the functional aspects of intrinsically disordered protein (IDP) condensates necessitates elucidating their inherent structures and establishing correlations with biological …

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Fabrication of High-Negatively Charged Bicelle-Mediated Supported Lipid Bilayer

Junyi Zhao, Zhao Li, Weiqing Xu, Zhong‐Yuan Lu et autres

Supported lipid bilayers (SLBs), two-dimensional lipid films formed on a solid-supporting substrate, serve as models for biomembranes and exhibit remarkable potential in chemistry, biology, and medicine. However, preparing SLBs with highly negatively charged contents on the negatively charged surface by overcoming electrostatic …

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