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Quinosumycin,a novel anti-MRSA thioether-linked quinolinone-quinazolinone heterodimer from a marine actinomycete Streptomyces diastaticus NBU2966

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Journal of Oceanology and Limnology 2024年第6期42卷 1991-1997页

作者： Shuangling TAN Yang LIU Haonan FU Yutong XUE Fangjian FENG Jinling LI Xiaojun YAN sitong wu Shan HE Lijian DING Li Dak Sum Yip Yio Chin Kenneth Li Marine Biopharmaceutical Research Center Ningbo UniversityNingbo 315211China Taizhou Hospital of Zhejiang Province Affiliated to Wenzhou Medical University Taizhou 318053China School of Pharmaceutical Sciences Zhejiang University of TechnologyHangzhou 310014China Ningbo Institute of Marine Medicine Peking UniversityNingbo 315800China

Marine natural products offer a promising source in the development of new antibiotic *** previously undescribed compounds,including one sulfur-bearing alkaloid named quinosumycin(1)along with one chromone derivative namely chromycone(2),were discovered from an ethyl acetate(EtOAc)extract of marine Streptomyces diastaticus NBU2966 through a bioactivity-guided isolation prioritized for antimicrobial *** analysis of nuclear magnetic resonance(NMR)spectroscopy,high resolution electrospray ionization mass spectroscopy(HRESIMS)data,and electronic circular dichroism(ECD)calculations enabled the elucidation of their structures and the determination of their absolute ***(1)is the first heterodimer scaffold incorporating quinolinone and quinazolinone motifs coupled by a thioether ***,Compound 1 exhibited a relatively selective growth inhibition against methicillin-resistant Staphylococcus aureus(MRSA)with the minimal inhibitory concentration(MIC)value of 8μg/mL.

关键词： marine natural product marine Streptomyces thioether alkaloid heterodimer anti-methicillinresistant Staphylococcus aureus(anti-MRSA)

Elucidating the Role of Probiotics in Modulating Depression Pathophysiology: Insights from Animal Models and Clinical Trials-A Narrative Review

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Food Science and Human Wellness 2024年

作者： Sashuang Dong Fanyu Hao Bin Xue sitong wu Ruimin Zhong Zhenlin Liao Hongying Han Xiang Fang College of Food Science， South China Agricultural University Guangdong Provincial Key Laboratory of Utilization and Conservation of Food and Medicinal Resources in Northern Region， Shaoguan University Department of Psychiatry， The Third Affiliated Hospital of Sun Yat-Sen University

With the ongoing COVID-19， a significant increase in global depression rates has placed a considerable strain on healthcare systems. Conventional pharmaceutical methods have shown limitations in treating this rise in depression. Therefore， identifying new potential treatments for depression is crucial. Maintaining a balanced gut microbiota is vital for human health and immune system function due to its complex bidirectional relationship with the brain. Numerous studies have established a robust correlation between anxiety and depression disorders， as well as the composition of microbial communities in the gastrointestinal tract， providing a fresh perspective. Adjusting the balance of gut microbiota may help alleviate depression symptoms. Probiotics， live microorganisms in the human gut， can improve the microbial community， help maintain homeostasis and stress resilience to remission in patients with depression. It’s essential to explore how probiotics affect gut microbiota since their impact can differ between animal experiments and clinical trials. The variation in results may be attributed to factors like the probiotic type， administered dosage， and treatment duration. The purpose of this review is to summarize the potential mechanisms by which probiotics affect gut microbiota， drawing from recent animal and clinical studies and observations on gut microbial ecology shifts. Additionally， this review will spotlight effective probiotic species for depression relief and discuss treatments centered on restoring gut microbial balance. Furthermore， it will also discuss the potential of probiotics on host microbiota in other organs to improve depressive symptoms and demonstrate the transient nature of the need for a more nuanced understanding of the safety and potential adverse effects of probiotics.

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Deep learning enhanced NIR-Ⅱ volumetric imaging of whole mice vasculature

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Opto-Electronic Advances 2023年第4期6卷 6-14页

作者： sitong wu Zhichao Yang Chenguang Ma Xun Zhang Chao Mi Jiajia Zhou Zhiyong Guo Dayong Jin UTS-SUSTech Joint Research Centre for Biomedical Materials&Devices Department of Biomedical EngineeringSouthern University of Science and TechnologyShenzhen 518055China Institute for Biomedical Materials&Devices Faculty of ScienceUniversity of Technology SydneyUltimoNew South Wales 2007Australia Guangdong Provincial Key Laboratory of Advanced Biomaterials Southern University of Science and TechnologyShenzhen 518055China

Fluorescence imaging through the second near-infrared window(NIR-Ⅱ,1000–1700 nm) allows in-depth ***, current imaging systems use wide-field illumination and can only provide low-contrast 2D information, without depth resolution. Here, we systematically apply a light-sheet illumination, a time-gated detection, and a deep-learning algorithm to yield high-contrast high-resolution volumetric images. To achieve a large Fo V(field of view) and minimize the scattering effect, we generate a light sheet as thin as 100.5 μm with a Rayleigh length of 8 mm to yield an axial resolution of 220 μm. To further suppress the background, we time-gate to only detect long lifetime luminescence achieving a high contrast of up to 0.45 Icontrast. To enhance the resolution, we develop an algorithm based on profile protrusions detection and a deep neural network and distinguish vasculature from a low-contrast area of 0.07 Icontrast to resolve the 100μm small vessels. The system can rapidly scan a volume of view of 75 × 55 × 20 mm3and collect 750 images within 6mins. By adding a scattering-based modality to acquire the 3D surface profile of the mice skin, we reveal the whole volumetric vasculature network with clear depth resolution within more than 1 mm from the skin. High-contrast large-scale 3D animal imaging helps us expand a new dimension in NIR-Ⅱ imaging.

关键词： NIR-Ⅱfluorescence time-gated light sheet illumination deep learning vessel enhancement 3D imaging

Bioinspired Passive Tactile Sensors Enabled by Reversible Polarization of Conjugated Polymers

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Nano-Micro Letters 2025年第1期17卷 361-377页

作者： Feng He sitong Chen Ruili Zhou Hanyu Diao Yangyang Han Xiaodong wu School of Mechanical Engineering Sichuan UniversityChengdu 610065People’s Republic of China School of Software Engineering Chongqing University of Posts and TelecommunicationsChongqing 400065People’s Republic of China State Key Laboratory of Polymer Materials Engineering Sichuan UniversityChengdu 610065People’s Republic of China

Tactile perception plays a vital role for the human body and is also highly desired for smart prosthesis and advanced *** to active sensing devices,passive piezoelectric and triboelectric tactile sensors consume less power,but lack the capability to resolve static ***,we address this issue by utilizing the unique polarization chemistry of conjugated polymers for the first time and propose a new type of bioinspired,passive,and bio-friendly tactile sensors for resolving both static and dynamic ***,to emulate the polarization process of natural sensory cells,conjugated polymers(including poly(3,4-ethylenedioxythiophen e):poly(styrenesulfonate),polyaniline,or polypyrrole)are controllably polarized into two opposite states to create artificial potential *** controllable and reversible polarization process of the conjugated polymers is fully in situ ***,a micro-structured ionic electrolyte is employed to imitate the natural ion channels and to encode external touch stimulations into the variation in potential difference *** with the currently existing tactile sensing devices,the developed tactile sensors feature distinct characteristics including fully organic composition,high sensitivity(up to 773 mV N^(−1)),ultralow power consumption(nW),as well as superior *** demonstrations,both single point tactile perception(surface texture perception and material property perception)and two-dimensional tactile recognitions(shape or profile perception)with high accuracy are successfully realized using self-defined machine learning *** tactile sensing concept innovation based on the polarization chemistry of conjugated polymers opens up a new path to create robotic tactile sensors and prosthetic electronic skins.

关键词： Passive tactile sensors Reversible polarization of conjugated polymers Tactile perception Machine learning algorithm Object recognition

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再生水中SS304表面生物膜的活性与结构

环境工程学报 2017年第3期11卷 1920-1926页

作者：季思彤李进吴芳芳梁锐北京交通大学土木建筑工程学院水中典型污染物控制与水质保障北京市重点实验室北京100044

采用生物化学分析方法、扫描电镜(SEM)和能谱(EDS)研究再生水浓缩倍率对弗氏柠檬酸杆菌(Citrobacter freundii)生物膜脱氢酶活性、胞外聚合物(EPS)组分含量以及SS304表面生物膜形貌和组分的影响。结果表明:弗氏柠檬酸杆菌生物膜脱氢酶... 详细信息

采用生物化学分析方法、扫描电镜(SEM)和能谱(EDS)研究再生水浓缩倍率对弗氏柠檬酸杆菌(Citrobacter freundii)生物膜脱氢酶活性、胞外聚合物(EPS)组分含量以及SS304表面生物膜形貌和组分的影响。结果表明:弗氏柠檬酸杆菌生物膜脱氢酶的活性随浓缩倍率的提高而增大,3 d时细胞活性最大;EPS中多糖/蛋白质的比值随浓缩倍率的提高而增大,生物膜亲水性增加,黏附性也逐渐增加;随着浓缩倍率的提高,SS304试片表面生物膜厚度也有所增加,生物膜中代谢产物及无机盐组分也有所增加,说明浓缩倍率的提高会加剧SS304表面腐蚀程度。

关键词：弗氏柠檬酸杆菌生物膜活性不锈钢(SS) 胞外聚合物(EPS) 微生物腐蚀(MIC)

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新时代推进高校劳动教育有效开展的策略研究

天津职业院校联合学报 2021年第7期23卷 58-61,74页

作者：吴思潼天津城市职业学院天津300250

教育具有普遍特征,而劳育相比“德、智、体、美”四育有其自身的特殊性,与生产实践的创造性有着密切的联系。劳动教育在高校开展,要坚持立德树人的根本任务进行价值引领,需要对劳动观念和职业发展加以重视,做到知行合一、产教融合。本... 详细信息

教育具有普遍特征,而劳育相比“德、智、体、美”四育有其自身的特殊性,与生产实践的创造性有着密切的联系。劳动教育在高校开展,要坚持立德树人的根本任务进行价值引领,需要对劳动观念和职业发展加以重视,做到知行合一、产教融合。本文从高校开展劳动教育的必要性入手,结合实际教育现状,探索新时代高校劳动教育有效开展的策略,为高校劳动教育实践的推进提供参考。

关键词：高校劳动教育策略

长三角地区长大高铁盾构隧道智能建造研究现状与工程实践

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中国铁路 2024年第7期 39-47页

作者：钱桂枫杨雅琴伍思同沪杭铁路客运专线股份有限公司上海200032 中国铁道科学研究院集团有限公司电子计算技术研究所北京100081

截至2023年底,我国投入运营铁路隧道共计18 573座,总长23 508 km。我国已成为世界上隧道及地下工程规模最大、数量最多、地质条件和结构形式最复杂、修建技术发展速度最快的国家。随着长三角地区高铁建设迅猛发展,出现一批特大直径、超... 详细信息

截至2023年底,我国投入运营铁路隧道共计18 573座,总长23 508 km。我国已成为世界上隧道及地下工程规模最大、数量最多、地质条件和结构形式最复杂、修建技术发展速度最快的国家。随着长三角地区高铁建设迅猛发展,出现一批特大直径、超长距离、超大埋深、超强水压、超高风险的盾构隧道工程,对盾构隧道的勘察设计、装备制造、施工技术和安全管控等方面提出了更高要求。根据中国国家铁路集团有限公司《数字铁路规划》《智能铁路技术体系架构2.0》要求,长三角地区正积极探索推动铁路智能建造2.0在长大复杂铁路盾构隧道的落实与应用。针对我国长大复杂铁路盾构隧道的智能建造理论和技术体系尚不成熟的现状,介绍了长三角地区在建长大高铁盾构隧道,并对人工智能技术在盾构隧道施工中的研究应用现状进行梳理分析。基于数字孪生技术,提出长大高铁盾构隧道智能建造总体架构,总结深基坑、管片生产与运输、盾构隧道施工等智能建造关键技术的研究与实践,以期为后续铁路盾构隧道智能建造提供参考。

关键词：智能高铁长三角地区铁路隧道盾构施工智能建造数智化管控

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基于FPGA的Sobel边缘检测架构

华北科技学院学报 2023年第1期20卷 72-79页

作者：伍思同郭来功安徽理工大学电气与工程学院安徽淮南232001

本文提出了一种基于Field Programmable Gate Array(FPGA)实现的高效8-bitSobel边缘检测硬件架构,通过结构优化和引入流水线技术,不仅减少了硬件资源利用率,并且提高了系统运行的最大频率。与三种现有的Sobel边缘检测架构相比,第一种是... 详细信息

本文提出了一种基于Field Programmable Gate Array(FPGA)实现的高效8-bitSobel边缘检测硬件架构,通过结构优化和引入流水线技术,不仅减少了硬件资源利用率,并且提高了系统运行的最大频率。与三种现有的Sobel边缘检测架构相比,第一种是传统的Sobel边缘检测结构,另外两种也是8-bitSobel边缘检测结构。结果表明,本文提出的8-bitSobel边缘检测结构比传统的Sobel边缘检测结构在硬件资源上减少了37.55%,运行速度上提高了14.74%.尽管与运行速度最快的8-bitSobel边缘检测结构相比在速度上降低了1.24%,但是在资源率上提高了25%。因此,本文提出的8-bitSobel边缘检测架构更适用于硬件资源有限的平台。

关键词： FPGA Sobel 流水线边缘检测

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DLMS自适应天线阵的FPGA实现

电子测试 2022年第23期36卷 66-69页

作者：伍思同郭来功安徽理工大学电气与工程学院安徽淮南232001

最小均方(LMS)算法在自适应天线阵列计算中广泛应用,但采用FPGA实现时,由于其严格的执行流程,无法充分利用FPGA的并行计算优势,限制了信号实时处理速度。为了解决这一问题,文章采用一种延迟最小均方(DLMS)算法,并在FPGA平台实现该算法... 详细信息

最小均方(LMS)算法在自适应天线阵列计算中广泛应用,但采用FPGA实现时,由于其严格的执行流程,无法充分利用FPGA的并行计算优势,限制了信号实时处理速度。为了解决这一问题,文章采用一种延迟最小均方(DLMS)算法,并在FPGA平台实现该算法。仿真结果验证了该算法的可行性。

关键词：自适应 LMS DLMS FPGA