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Using artificial intelligence to document the hidden RNA virosphere

四川生理科学杂志 2024年第10期46卷 2345-2345页

作者： Xin Hou National Key Laboratory of Intelligent Tracking and Forecasting for Infectious Diseases State Key Laboratory for Biocontrol School of Medicine Shenzhen Campus of Sun Yat-sen University Sun Yat-sen University Shenzhen China Apsara Lab Alibaba Cloud Intelligence Alibaba Group Hangzhou China Wuhan Centers for Disease Control and Prevention Wuhan China Polar Research Institute of China Shanghai China Department of Nursing The Fifth Affiliated Hospital Sun Yat-sen University Zhuhai China School of Geospatial Engineering and Science Southern Marine Science and Engineering Guangdong Laboratory (Zhuhai) Sun Yat-sen University Zhuhai China Key Laboratory of Comprehensive Observation of Polar Environment Ministry of Education Sun Yat-sen University Zhuhai China Ministry of Education Key Laboratory of Biodiversity Science and Ecological Engineering National Observations and Research Station for Wetland Ecosystems of the Yangtze Estuary Institute of Biodiversity Science and Institute of Eco-Chongming School of Life Sciences Fudan University Shanghai Shanghai China Centre for Virus Research Westmead Institute for Medical Research Westmead NSW Australia School of Medical Sciences The University of Sydney Sydney NSW 2006 Australia College of Life Sciences Zhejiang University Hangzhou China School of Life Science Guangzhou University Guangzhou China Key Laboratory of Pathogen Infection Prevention and Control (MOE) State Key Laboratory of Respiratory Health and Multimorbidity National Institute of Pathogen Biology Chinese Academy of Medical Sciences & Peking Union Medical College Beijing China School of Public Health (Shenzhen) Shenzhen Campus of Sun Yat-sen University Sun Yat-sen University Shenzhen China Guangzhou National Laboratory Guangzhou International Bio-Island Guangzhou China Department of Infectious Diseases and Public Health Jockey Club College of Veterinary Medicine and Life Sciences City University of Hong Kong Hong Kong SAR China Laboratory of Data Disco

Current metagenomic tools can fail to identify highly divergent RNA *** developed a deep learning algorithm,termed LucaProt,to discover highly divergent RNA-dependent RNA polymerase(RdRP)sequences in 10,487 metatranscriptomes generated from diverse global *** integrates both sequence and predicted structural information,enabling the accurate detection of RdRP *** this approach,we identified 161,979 potential RNA virus species and 180 RNA virus supergroups,including many previously poorly studied groups,as well as RNA virus genomes of exceptional length(up to 47,250 nucleotides)and genomic complexity.

关键词： artificial exceptional integrate

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Valence State Hydrogen Channel Enhances Sustained and controllable Electrocatalytic Hydrogen Evolution in Diabetic Skin Wound Healing

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Angewandte Chemie 2025年

作者： Xianzhu Luo Xiangcheng Zhang Xue Wen Rui Wang Qingguo Zhang Pan Luo Fabiao Yu Hongshuai Cao Key Laboratory of Emergency and Trauma of Ministry of Education The First Affiliated Hospital of Hainan Medical University Key Laboratory of Hainan Trauma and Disaster Rescue Key Laboratory of Haikou Trauma Engineering Research Center for Hainan Bio-Smart Materials and Bio-Medical Devices School of Pharmacy College of Emergency and Trauma Hainan Medical University Haikou 571199 China Key Laboratory of Advanced Technologies of Materials (Ministry of Education) School of Materials Science and Engineering Southwest Jiaotong University Chengdu 610031 China School of Chemistry and Chemical Engineering School of Electronics Information and Electrical Engineering Instrumental Analysis Center Shanghai Jiao Tong University Shanghai 200240 China Department of Chemistry and Nanoscience Ewha Womans University Seoul 03706 Republic of Korea Department of General Plastic Surgery Plastic Surgery Hospital Chinese Academy of Medical Sciences and Peking Union Medical College Beijing 100006 China

Diabetes significantly increases the risk of serious health issues, including prolonged skin inflammation and delayed wound healing, owing to inferior glucose control and suppression of the immune system. Although traditional hydrogen (H 2 ) therapy is slightly effective, its ability to tailor the release of H 2 on the skin is limited. Accordingly, this study proposed a novel strategy for electrocatalytic H 2 release under neutral conditions to promote wound healing in diabetic mice and rabbit. Herein, a defect-engineered cobalt phosphide (CoP) catalyst was designed by introducing a neutral single-metal electrocatalytic Hydrogen valence state channel into CoP. By effectively regulating the formation and transfer of *H active species during the CoP catalytic process, a considerable enhancement in neutral electrocatalytic H 2 evolution performance was achieved (−78.0 mV@-10.0 mA cm −2 ). Based on this superior catalytic performance, we developed a flexible electrode (namely, CoP/flexible gold electrode made by screen printing (FGSP) by combining a convenient electrolysis platform with continuous electrolyte supply and FGSP, enabling customized H 2 release and accelerating wound healing in diabetic mice and rabbits. Notably, the designed flexible electrode features adjustable dimensions, interchangeable substrates, and material adaptability, meeting the diverse needs of clinical and basic research and demonstrating significant potential for applications in clinical medicine.

关键词： Valence State Hydrogen Channel 1 Sustained and controllable Hydrogen Evolution 2 Convenient Electrolyte Platform 3 Diabetic Skin Wound Healing 4 Neutral solution 5

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Pioneering the future of dentistry: AI-driven 3D bioprinting for next-generation clinical applications

Translational Dental Research

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Translational Dental Research 2025年第1期1卷

作者： Zihui Liang Xiaohong Liao Huiyi Zong Xinyao Zeng Hong Liu Congcong Wu Kavya Keremane Bed Poudel Jun Yin Kai Wang Jin Qian Huanjiang Laboratory Zhejiang University Zhuji 311800 China National Local Joint Laboratory for Advanced Textile Processing and Clean Production Wuhan Textile University Wuhan 430073 China School of New Energy and Electrical Engineering Hubei University Wuhan 430073 China Department of Materials Science and Engineering The Pennsylvania State University University Park PA 16802 USA The State Key Laboratory of Fluid Power Transmission and Control Systems School of Mechanical Engineering Zhejiang University Hangzhou 310027 China

Artificial intelligence (AI) is revolutionizing dentistry by enhancing the analysis of complex medical imaging data, automating the identification of anatomical landmarks, and improving diagnostic accuracy and treatment planning, etc. When combined with three-dimensional (3D) bioprinting, AI significantly optimizes the design and manufacturing processes, leading to highly precise and functional 3D-printed dental devices. AI-driven 3D bioprinting represents a transformative leap beyond traditional prosthetics, with the potential to create living tissues capable of regenerating oral structures. This technology pushes the boundaries of dental care by facilitating the development of biocompatible materials and complex tissue constructs that seamlessly integrate with interdisciplinary research, spanning advanced materials, future manufacturing techniques, and innovative clinical methodologies. This review examines the cutting-edge advancements in AI-assisted 3D bioprinting, focusing on its roles in tissue engineering, regenerative dentistry, and personalized treatment planning. Although many of these innovations remain in the research phase, they signify the dawn of a new era in dental medicine, where AI-driven bioprinting is poised to make the regeneration of teeth, gums, and bone structures a clinical reality. This paper provides a concise overview of these developments, emphasizing their potential to revolutionize dental practice.

关键词： Artificial intelligence 3D bioprinting Regenerative dentistry AI-driven manufacturing in prosthetics Advanced materials for dental regeneration

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Novel synthesis strategy for Z-scheme bioCl/UiO-66 photocatalyst: Enhanced surface area and improved Cr(VI) removal efficiency

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chemical engineering Journal 2023年 457卷

作者： Xiaopei Li Eydhah Almatrafi Han Wang Xuran Liu Yang Yang Chengyun Zhou Xiang Tang Xiaoya Ren Linmiao Yin Guangming Zeng Dongbo Wang College of Environmental Science and Engineering and Key Laboratory of Environmental Biology and Pollution Control (Ministry of Education) Hunan University Changsha 410082 PR China Center of Research Excellence in Renewable Energy and Power Systems Center of Excellence in Desalination Technology Department of Mechanical Engineering Faculty of Engineering-Rabigh King Abdulaziz University Jeddah 21589 Saudi Arabia Department of Chemical and Materials Engineering University of Alberta Edmonton Alberta T6G 1H9 Canada

MOF-based photocatalysts with a large specific surface area have been proven to be a potential candidate for removing heavy metal contaminants from the water environment. Herein, we present a much more available Z-scheme bioCl/UiO-66 composite photocatalyst via a one-step hydrothermal method for efficiently removing Cr(VI) from wastewater. More importantly, when adding bismuth nitrate in the synthesis procedure, bioCl was in situ generated on the surface of UiO-66 without an additional chlorine source. Experimental results showed that this novel photocatalyst could effectively remove Cr(VI) without adjusting the pH value and adding hole or hydroxyl radical scavengers, which is meant for practical application. Besides, the BET surface area of one-step synthesized bioCl/UiO-66 composite was considerably extended to 1530.82 m 2 /g, which is larger than that of two-step synthesized bioCl/UiO-66 composite and bare UiO-66. Characterization results verified that this one-step synthesized composite's outstanding Cr(VI) photo-removal efficiency was ascribed to increased active sites and improved charge separation and transfer efficiency. This study will likely to provide an effective way to simplify the synthesis procedure of bismuth materials/MOF composites with excellent applications.

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First-principles study of methanol adsorption on heteroatom-doped phosphorene

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Chinese chemical Letters 2019年第1期30卷 207-210页

作者： Dongdong Liu Yongliang Shi Li Tao Dafeng Yan Ru Chen Shuangyin Wang State Key Laboratory of Chem/Bio-Sensing and Chemometrics Provincial Hunan Key Laboratory for Graphene Materials and Devices College of Chemistry and Chemical Engineering Hunan University ICQD/Hefei National Laboratory for Physical Sciences at Microscale and Key Laboratory of Strongly-Coupled Quantum Matter Physics Chinese Academy of Sciences and Department of Physics University of Science and Technology of China Key Laboratory of Optoelectronic Devices and Systems of Ministry of Education and Guangdong Province Shenzhen University Shenzhen Research Institute of Hunan University

First-principles calculations based on van der Waals(vdW) corrected density functional theory(DFT) are firstly employed to investigate the adsorption of methanol(CH_3OH) gas molecule on pristine and Xdoped phosphorene( =B, C, N and O). The CH_3OH gas molecule is placed on the top of different phosphorene surfaces, the whole adsorption systems are fully optimized by using Vienna ab initio simulation package(VASP). The calculation results demonstrate that both pristine and heteroatomdoped phosphorene are sensitive to CH_3OH gas molecule with a moderate adsorption energy and an excellent charge transfer. Among all the investigated adsorption configurations, CH_3OH gas molecule is physically absorbed on pristine phosphorene and heteroatom-doped phosphorene. The N and O doping improve the adsorption of phosphorene with CH_3OH gas molecule, while B and C doping are almost not beneficial compared to the pristine phosphorene. The results suggest that N-doped and O-doped phosphorene are ideal candidates used for CH_3OH gas sensing.

关键词： Methanol adsorption Gas sensing Heteroatomdoping Phosphorene Density functional theory calculation

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Uniaxial Néel vector control in perovskite oxide thin films by anisotropic strain engineering

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Physical Review B 2021年第22期103卷 224435-224435页

作者： K. Kjærnes I. Hallsteinsen R. V. Chopdekar M. Moreau T. Bolstad I-H. Svenum S. M. Selbach T. Tybell Department of Electronic Systems NTNU—Norwegian University of Science and Technology 7491 Trondheim Norway Advanced Light Source Lawrence Berkeley National Laboratory Berkeley California 94720 USA Silicon Laboratories Norway AS 0405 Oslo Norway Department of Chemical Engineering NTNU—Norwegian University of Science and Technology 7491 Trondheim Norway SINTEF Industry 7034 Trondheim Norway Department of Materials Science and Engineering NTNU—Norwegian University of Science and Technology 7491 Trondheim Norway

Antiferromagnetic (AF) thin films typically exhibit a multidomain state, and control of the AF Néel vector is challenging, as AF materials are robust to magnetic perturbations. In this paper, uniaxial Néel vector control is demonstrated by relying on anisotropic strain engineering of epitaxial thin films of the prototypical AF material LaFeO3 (LFO). Orthorhombic (011)- and (101)-oriented DyScO3, GdScO3, and NdGaO3 substrates are used to engineer different anisotropic in-plane strain states. The anisotropic in-plane strain stabilizes structurally monodomain monoclinic LFO thin films. The uniaxial Néel vector is found along the tensile strained b axis, contrary to bulk LFO having the Néel vector along the shorter a axis, and no magnetic domains are found. Hence, anisotropic strain engineering is a viable tool for designing unique functional responses, further enabling AF materials for mesoscopic device technology.

关键词： Magnetic texture Magnetism Thin films Density functional theory X-ray diffraction

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Axion optical induction of antiferromagnetic order

arXiv

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arXiv 2023年

作者： Qiu, Jian-Xiang Tzschaschel, Christian Ahn, Junyeong Gao, Anyuan Li, Houchen Zhang, Xin-Yue Ghosh, Barun Hu, Chaowei Wang, Yu-Xuan Liu, Yu-Fei Bérubé, Damien Dinh, Thao Gong, Zhenhao Lien, Shang-Wei Ho, Sheng-Chin Singh, Bahadur Watanabe, Kenji Taniguchi, Takashi Bell, David C. Lu, Hai-Zhou Bansil, Arun Lin, Hsin Chang, Tay-Rong Zhou, Brian B. Ma, Qiong Vishwanath, Ashvin Ni, Ni Xu, Su-Yang Department of Chemistry and Chemical Biology Harvard University MA United States Department of Physics Harvard University CambridgeMA United States Department of Physics Boston College Chestnut HillMA United States Department of Physics Northeastern University BostonMA United States Department of Physics and Astronomy California NanoSystems Institute University of California Los Angeles Los AngelesCA United States Shenzhen China Shenzhen China Shenzhen Key Laboratory of Quantum Science and Engineering Shenzhen China International Quantum Academy Shenzhen China Department of Physics National Cheng Kung University Tainan Taiwan Tainan Taiwan Physics Division National Center for Theoretical Sciences Taipei Taiwan Department of Condensed Matter Physics and Materials Science Tata Institute of Fundamental Research Colaba Mumbai India Research Center for Functional Materials National Institute for Materials Science 1-1 Namiki Tsukuba Japan International Center for Materials Nanoarchitectonics National Institute for Materials Science 1-1 Namiki Tsukuba Japan Harvard John A. Paulson School of Engineering and Applied Sciences Harvard University CambridgeMA United States Center for Nanoscale Systems Harvard University CambridgeMA United States Institute of Physics Academia Sinica Taipei Taiwan Canadian Institute for Advanced Research Toronto Canada

Using circularly-polarized light to control quantum matter is a highly intriguing topic in physics, chemistry and biology. Previous studies have demonstrated helicity-dependent optical control of spatial chirality and magnetization M. The former is central for asymmetric synthesis in chemistry and homochirality in bio-molecules, while the latter is of great interest for ferromagnetic spintronics. In this paper, we report the surprising observation of helicity-dependent optical control of fully-compensated antiferromagnetic (AFM) order in 2D even-layered MnBi2Te4, a topological Axion insulator with neither chirality nor M. We further demonstrate helicity-dependent optical creation of AFM domain walls by double induction beams and the direct reversal of AFM domains by ultrafast pulses. The control and reversal of AFM domains and domain walls by light helicity have never been achieved in any fully-compensated AFM. To understand this optical control, we study a novel type of circular dichroism (CD) proportional to the AFM order, which only appears in reflection but is absent in transmission. We show that the optical control and CD both arise from the optical Axion electrodynamics, which can be visualized as a Berry curvature real space dipole. Our Axion induction provides the possibility to optically control a family of PT -symmetric AFMs such as Cr2O3, CrI3 and possibly novel states in cuprates. In MnBi2Te4, this further opens the door for optical writing of dissipationless circuit formed by topological edge states. © 2023, CC BY-NC-ND.

关键词： Dichroism

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Breakdown of effective-medium theory by a photonic spin Hall effect

arXiv

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arXiv 2023年

作者： Yuan, Shuaijie Zhou, Xinxing Chen, Yu Zhong, Yuhan Sheng, Lijuan Hu, Hao Chen, Hongsheng Kaminer, Ido Lin, Xiao Key Laboratory of Low-Dimensional Quantum Structures and Quantum Control of Ministry of Education Synergetic Innovation Center for Quantum Effects and Applications School of Physics and Electronics Hunan Normal University Changsha410081 China International Collaborative Laboratory of 2D Materials for Optoelectronics Science and Technology Engineering Technology Research Center for 2D Material Information Function Devices and Systems of Guangdong Province Institute of Microscale Optoelectronics Shenzhen University Shenzhen518060 China Interdisciplinary Center for Quantum Information State Key Laboratory of Extreme Photonics Instrumentation ZJU-Hangzhou Global Scientific and Technological Innovation Center Zhejiang University Hangzhou310027 China International Joint Innovation Center The Electromagnetics Academy Zhejiang University Zhejiang University Haining314400 China School of Electrical and Electronic Engineering Nanyang Technological University 50 Nanyang Avenue Singapore639798 Singapore Key Laboratory of Radar Imaging and Microwave Photonics Ministry of Education College of Electronic and Information Engineering Nanjing University of Aeronautics and Astronautics Nanjing211106 China Key Lab. of Advanced Micro/Nano Electronic Devices & Smart Systems of Zhejiang Jinhua Institute of Zhejiang University Zhejiang University Jinhua321099 China Shaoxing Institute of Zhejiang University Zhejiang University Shaoxing312000 China Department of Electrical Engineering Technion-Israel Institute of Technology Haifa32000 Israel

Effective-medium theory pertains to the theoretical modelling of homogenization, which aims to replace an inhomogeneous structure of subwavelength-scale constituents with a homogeneous effective medium. The effective-medium theory is fundamental to various realms, including electromagnetics and material science, since it can largely decrease the complexity in the exploration of light-matter interactions by providing simple acceptable approximation. Generally, the effective-medium theory is thought to be applicable to any all-dielectric system with deep-subwavelength constituents, under the condition that the effective medium does not have a critical angle, at which the total internal reflection occurs. Here we reveal a fundamental breakdown of the effective-medium theory that can be applied in very general conditions: showing it for deep-subwavelength all-dielectric multilayers even without critical angle. Our finding relies on an exotic photonic spin Hall effect, which is shown to be ultra-sensitive to the stacking order of deep-subwavelength dielectric layers, since the spin-orbit interaction of light is dependent on slight phase accumulations during the wave propagation. Our results indicate that the photonic spin Hall effect could provide a promising and powerful tool for measuring structural defects for all-dielectric systems even in the extreme nanometer scale. Copyright © 2023, The Authors. All rights reserved.

关键词： Spin Hall effect

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Vali@mPEG-TK-COS: A Dual-Function Nano-Pesticide for Fungicidal Action and Plant Immune Modulation

Modern Agriculture

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Modern Agriculture 2024年第2期2卷

作者： Ruixin Li Xiaochen Jia Hongguo Xie Xueran Wang Jinxuan Wen Guanglu Yu Chunlai Zhang Yeqing Sun Heng Yin Dalian Engineering Research Center for Carbohydrate Agricultural Preparations Dalian Technology Innovation Center for Green Agriculture Liaoning Provincial Key Laboratory of Carbohydrates Dalian Institute of Chemical Physics Chinese Academy of Sciences Dalian China Institute of Environmental Systems Biology Dalian Maritime University Dalian China Department of Materials Science and Engineering Dalian Maritime University Dalian China

Pesticides play a crucial role in safeguarding crops against pathogens and pests, yet the limited bioavailability of conventional formulations leads to excessive usage, causing environmental and health concerns. In this study, we developed a novel intelligent response-controlled release nano-pesticide, Vali@mPEG-TK-COS, by coupling chitosan oligosaccharide (COS), a plant immunity regulator, and methoxy polyethylene glycols (mPEG) at either end of thioketal (TK), a material responsive to reactive oxygen species (ROS), and incorporating validamycin (Vali) for controlled release. Vali@mPEG-TK-COS exhibits ROS-responsive behaviour, releasing Vali and COS in response to plant ROS bursts, exhibiting dual capabilities in pathogen control and plant immunity induction during pathogenic attacks. Plant disease experiments confirmed the superior efficacy of Vali@mPEG-TK-COS against Rhizoctonia solani, surpassing the control effects of Vali or COS alone. This study presents a sophisticated ROS-responsive controlled-release nano-pesticide with dual fungicidal and plant immunomodulatory properties, offering an advanced strategy to enhance the efficiency of existing pesticides and promote sustainable crop production by reducing overall pesticide usage.

关键词： bifunctional nano-pesticides chitosan oligosaccharide fungicide immunomodulatory Rhizoctonia solani

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All-optical computing based on convolutional neural networks

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Opto-Electronic Advances 2021年第11期4卷 46-54页

作者： Kun Liao Ye Chen Zhongcheng Yu Xiaoyong Hu Xingyuan Wang Cuicui Lu Hongtao Lin Qingyang Du Juejun Hu Qihuang Gong State Key Laboratory for Mesoscopic Physics&Department of Physics Collaborative Innovation Center of Quantum MatterBeijing Academy of Quantum Information SciencesNano-optoelectronics Frontier Center of Ministry of EducationPeking UniversityBeijing 100871China Collaborative Innovation Center of Extreme Optics Shanxi UniversityTaiyuan 030006China College of Mathematics and Physics Beijing University of Chemical TechnologyBeijing 100029China Beijing Key Laboratory of Nanophotonics and Ultrafine Optoelectronic Systems School of PhysicsBeijing Institute of TechnologyBeijing 100081China College of Information Science&Electronic Engineering Zhejiang UniversityHangzhou 310027China Department of Materials Science and Engineering Massachusetts Institute of TechnologyCambridgeMA 02139USA

The rapid development of information technology has fueled an ever-increasing demand for ultrafast and ultralow-en-ergy-consumption *** computing instruments are pre-dominantly electronic processors,which use elec-trons as information carriers and possess von Neumann architecture featured by physical separation of storage and *** scaling of computing speed is limited not only by data transfer between memory and processing units,but also by RC delay associated with integrated ***,excessive heating due to Ohmic losses is becoming a severe bottleneck for both speed and power consumption *** photons as information carriers is a promising *** to the weak third-order optical nonlinearity of conventional materials,building integrated photonic com-puting chips under traditional von Neumann architecture has been a ***,we report a new all-optical comput-ing framework to realize ultrafast and ultralow-energy-consumption all-optical computing based on convolutional neural *** device is constructed from cascaded silicon Y-shaped waveguides with side-coupled silicon waveguide segments which we termed“weight modulators”to enable complete phase and amplitude control in each waveguide *** generic device concept can be used for equation solving,multifunctional logic operations as well as many other mathematical *** computing functions including transcendental equation solvers,multifarious logic gate operators,and half-adders were experimentally demonstrated to validate the all-optical computing *** time-of-flight of light through the network structure corresponds to an ultrafast computing time of the order of several picoseconds with an ultralow energy consumption of dozens of femtojoules per *** approach can be further expan-ded to fulfill other complex computing tasks based on non-von Neumann architectures and thus paves a new way for on-chip all-optical comp

关键词： convolutional neural networks all-optical computing mathematical operations cascaded silicon waveguides

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