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A Highly Efficient Ni/Al_(2)O_(3)-LaO_(x) Catalyst for the Reductive Amination of Furfural to Furfurylamine:the Promoting Effect of La

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Chemical Research in Chinese Universities 2024年第1期40卷 36-46页

作者： YANG Yinze ZHANG Liyan ZHOU Leilei CHENG haiyang zhao Fengyu State Key Laboratory of Electroanalytical Chemistry Changchun Institute of Applied ChemistryChinese Academy of SciencesChangchun 130022P.R.China School of Applied Chemistry and Engineering University of Science Technology of ChinaHefei 230026P.R.China Jilin Province Key Laboratory of Green Chemistry and Process Changchun Institute of Applied ChemistryChinese Academy of SciencesChangchun 130022P.R.China

The reductive amination of furfural to furfurylamine is an important and still challenging topic in the field of biomass conversion. In this work, we prepared a series of Ni/Al_(2)O_(3)-LaO_(x) catalysts by co-precipitation method, the role of La played in promoting the catalytic performances of reductive amination furfural was discussed based on the changes in the electronic state of Ni species, acidity, and Ni particle size. The catalytic activity and the selectivity of furfurylamine are highly dependent on the surface properties and the structure of the catalyst. The addition of La promoted the amount of strong acidic sites and the H2dissociation and spillover on the surface, thus inducing the improvement of the catalytic activity and furfurylamine selectivity. The Ni/Al_(2)O_(3)-0.5LaO_(x)catalyst with suitable acid sites gave a high yield of furfurylamine (94.9%) under mild reaction conditions. Moreover, the catalyst could be recycled five times without significant loss in activity. The Ni/Al_(2)O_(3)-LaO_(x) catalyst is of great promise in the production of amines via reductive amination reaction.

关键词： Reductive amination Furfural Nickel catalyst Furfurylamine Lanthanum

Advances in memristor based artificial neuron fabrication-materials,models,and applications

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International Journal of Extreme Manufacturing 2024年第1期6卷 27-50页

作者： Jingyao Bian Zhiyong Liu Ye Tao Zhongqiang Wang Xiaoning zhao Ya Lin haiyang Xu Yichun Liu Key Laboratory for UV Light-Emitting Materials and Technology(Northeast Normal University) Ministry of Education5268 Renmin StreetChangchunPeople’s Republic of China

Spiking neural network(SNN),widely known as the third-generation neural network,has been frequently investigated due to its excellent spatiotemporal information processing capability,high biological plausibility,and low energy consumption characteristics.Analogous to the working mechanism of human brain,the SNN system transmits information through the spiking action of neurons.Therefore,artificial neurons are critical building blocks for constructing SNN in hardware.Memristors are drawing growing attention due to low consumption,high speed,and nonlinearity characteristics,which are recently introduced to mimic the functions of biological neurons.Researchers have proposed multifarious memristive materials including organic materials,inorganic materials,or even two-dimensional materials.Taking advantage of the unique electrical behavior of these materials,several neuron models are successfully implemented,such as Hodgkin–Huxley model,leaky integrate-and-fire model and integrate-and-fire model.In this review,the recent reports of artificial neurons based on memristive devices are discussed.In addition,we highlight the models and applications through combining artificial neuronal devices with sensors or other electronic devices.Finally,the future challenges and outlooks of memristor-based artificial neurons are discussed,and the development of hardware implementation of brain-like intelligence system based on SNN is also prospected.

关键词： artificial neuron memristor memristive materials neuron model micro-nano manufacturing spiking neural network

IGF2BPs as novel m^(6)A readers:Diverse roles in regulating cancer cell biological functions,hypoxia adaptation,metabolism,and immunosuppressive tumor microenvironment

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Genes & Diseases 2024年第2期11卷 890-920页

作者： Meiqi Duan haiyang Liu Shasha Xu Zhi Yang Fusheng Zhang Guang Wang Yutian Wang Shan zhao Xiaofeng Jiang Department of General Surgery The Fourth Affiliated Hospital of China Medical UniversityShenyangLiaoning 110032China Department of Gastroendoscopy The Fourth Affiliated Hospital of China Medical UniversityShenyangLiaoning 110032China Department of Rheumatology and Immunology The First Affiliated Hospital of China Medical UniversityShenyangLiaoning 110002China

m^(6)A methylation is the most frequent modification of mRNA in eukaryotes and plays a crucial role in cancer progression by regulating biological functions.Insulin-like growth factor 2 mRNA-binding proteins(IGF2BP)are newly identified m^(6)A‘readers’.They belong to a family of RNA-binding proteins,which bind to the m^(6)A sites on different RNA sequences and stabilize them to promote cancer progression.In this review,we summarize the mechanisms by which different upstream factors regulate IGF2BP in cancer.The current literature analyzed here reveals that the IGF2BP family proteins promote cancer cell proliferation,survival,and chemoresistance,inhibit apoptosis,and are also associated with cancer glycolysis,angiogenesis,and the immune response in the tumor microenvironment.Therefore,with the discovery of their role as‘readers’of m^(6)A and the characteristic re-expression of IGF2BPs in cancers,it is important to elucidate their mechanism of action in the immunosuppressive tumor microenvironment.We also describe in detail the regulatory and interaction network of the IGF2BP family in downstream target RNAs and discuss their potential clinical applications as diagnostic and prognostic markers,as well as recent advances in IGF2BP biology and associated therapeutic value.

关键词： Cancer IGF2BP Immunosuppressive TME m^(6)A Molecular mechanism Therapy

Lidar-Based Action-Recognition Algorithm for Medical Quality Control

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激光与光电子学进展 2024年第12期 316-324页

作者： Wang Yuanze Zhang haiyang Wu Xuan Kong Chunxiu Ju Yezhao zhao Changming School of Optics and Photonics Beijing Institute of Technology Key Laboratory of Photoelectronic Imaging Technology and System Ministry of Education Key Laboratory of Information Photon Technology Ministry of Industry and Information Technology

Medical-action recognition is crucial for ensuring the quality of medical services. With advancements in deep learning, RGB camera-based human-action recognition made huge advancements. However, RGB cameras encounter issues, such as depth ambiguity and privacy violation. In this paper, we propose a novel lidar-based action-recognition algorithm for medical quality control. Further, point-cloud data were used for recognizing hand-washing actions of doctors and recording the action's duration. An improved anchor-to-joint(A2J) network, with pyramid vision transformer and feature pyramid network modules, was developed for estimating the human poses. In addition, we designed a graph convolution network for action classification based on the skeleton data. Then, we evaluated the performance of the improved A2J network on the open-source ITOP and our medical pose estimation datasets. Further, we tested our medical action-recognition method in actual wards to demonstrate its effectiveness and running efficiency. The results show that the proposed algorithm can effectively recognize the actions of medical staff, providing satisfactory real-time performance and 96.3% action-classification accuracy.

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Emerging multimodal memristors for biorealistic neuromorphic applications

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Materials Futures

Materials Futures 2024年第1期3卷 128-141页

作者： Xuanyu Shan Ya Lin Zhongqiang Wang Xiaoning zhao Ye Tao haiyang Xu Yichun Liu Key Laboratory of UV-Emitting Materials and Technology of Ministry of Education Northeast Normal UniversityChangchunPeople’s Republic of China

The integration of sensory information from different modalities,such as touch and vision,is essential for organisms to perform behavioral functions such as decision-making,learning,and memory.Artificial implementation of human multi-sensory perception using electronic supports is of great significance for achieving efficient human–machine interaction.Thanks to their structural and functional similarity with biological synapses,memristors are emerging as promising nanodevices for developing artificial neuromorphic perception.Memristive devices can sense multidimensional signals including light,pressure,and sound.Their in-sensor computing architecture represents an ideal platform for efficient multimodal perception.We review recent progress in multimodal memristive technology and its application to neuromorphic perception of complex stimuli carrying visual,olfactory,auditory,and tactile information.At the device level,the operation model and undergoing mechanism have also been introduced.Finally,we discuss the challenges and prospects associated with this rapidly progressing field of research.

关键词： multimodal memristor neuromorphic perception in-sensor computing

Genomic investigation and nationwide tracking of pediatric invasive nontyphoidal Salmonella in China

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mLife 2024年第1期3卷 156-160页

作者： Yefang Ke Lin Teng Zhe Zhu Wenbo Lu Wenyuan Liu haiyang Zhou Qi Yu Lina Ye Pan Zhu Guoping zhao Min Yue Deparment of Clinical Laboratory Ningbo Women and Children's HospitalNingboChina Department of Veterinary Medicine Zhejiang University Cllege of Animal SciencesHangzhouChina Department of Blood Transfusion Ningbo No.2 HospitalNingboChina Office of Screening Ningbo Women and Children's HospitalNingboChina Neonatal Intensive Care Unit Ningbo Women and Children's HospitalNingboChina School of Life Science Hangzhou Institute for Advanced StudyUniversity of Chinese Academy of SciencesHangzhouChina CAS Key Laboratory of Synthetic Biology Institute of Plant Physiology and EcologyShanghai Institutes for Biological SciencesChinese Academy of SciencesShanghaiChina Department of Microbiology and Microbial Engineering School of Life SciencesFudan UniversityShanghaiChina State Key Laboratory for Diagnosis and Treatment of Infectious Diseases National Clinical Research Center for Infectious DiseasesNational Medical Center for Infectious DiseasesThe First Affliated HospitalCollege of MedicineZhejiang UniversityHangzhouChina Hainan Institute of Zhejiang University SanyaChina

Impact Statement。Invasive nontyphoidal Salmonella(iNTS)causes significant concern with~15%morbidity,affecting populations mainly in African countries.

关键词： pediatric nationwide morbidity

J-family genes redundantly regulate flowering time and increase yield in soybean

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The Crop Journal 2024年第3期12卷 944-949页

作者： haiyang Li Zheng Chen Fan Wang Hongli Xiang Shuangrong Liu Chuanjie Gou Chao Fang Liyu Chen Tiantian Bu Fanjiang Kong Xiaohui zhao Baohui Liu Xiaoya Lin Guangdong Key Laboratory of Plant Adaptation and Molecular Design/Guangzhou Key Laboratory of Crop Gene Editing/Innovative Center of Molecular Genetics and Evolution School of Life SciencesGuangzhou UniversityGuangzhou 510006GuangdongChina

Soybean(Glycine max)is a short-day crop whose flowering time is regulated by photoperiod.The longjuvenile trait extends its vegetative phase and increases yield under short-day conditions.Natural variation in J,the major locus controlling this trait,modulates flowering time.We report that the three J-family genes influence soybean flowering time,with the triple mutant Guangzhou Mammoth-2 flowering late under short days by inhibiting transcription of E1-family genes.J-family genes offer promising allelic combinations for breeding.

关键词： Soybean Flowering time Yield J-family genes

A High Order Control Volume Finite Element Method for Transient Heat Conduction Analysis of Multilayer Functionally Graded Materials with Mixed Grids

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Journal of Thermal Science 2020年第1期29卷 144-158页

作者： LIU Qi MING Pingjian zhao haiyang ZHANG Wenping College of power and energy engineering Harbin Engineering University

This paper describes a new two-dimensional(2-D)control volume finite element method(CV-FEM)for transient heat conduction in multilayer functionally graded materials(FGMs).To deal with the mixed-grid problem,9-node quadrilateral grids and 6-node triangular grids are used.The unknown temperature and material properties are stored at the node.By using quadratic triangular grids and quadratic quadrilateral grids,the present method offers greater geometric flexibility and the potential for higher accuracy than the linear CV-FEM.The properties of the FGMs are described by exponential,quadratic and trigonometric grading functions.Some numerical tests are studied to demonstrate the performance of the developed method.First,the present CV-FEM with mixed high-order girds provides a higher accuracy than the linear CV-FEM based on the same grid size.Second,the material properties defined location is proved to have a significant effect on the accuracy of the numerical results.Third,the present method provides better numerical solutions than the conventional FEM for the FGMs in conjunction with course high-order grids.Finally,the present method is also capable of analysis of transient heat conduction in multilayer FGM.

关键词： finite volume method functionally graded materials transient heat conduction

基于审美分析的口腔美容修复分类诊疗方案(一):基本概念、决策树及临床路径

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华西口腔医学杂志 2024年第2期42卷 19-27页

作者：于海洋赵俊颐孙蔓琳口腔疾病防治全国重点实验室、国家口腔医学中心、国家口腔疾病临床医学研究中心、四川大学华西口腔医院修复Ⅱ科成都610041

当前美容修复临床方案多基于欧美国家提出的口腔美感指标(简称欧美审美)制定,但机械地照搬欧美口腔美容修复方案,忽视了其与中国人口腔美感指标(简称中式审美)的差别,是无法有效支撑国人个性化口腔美容修复诊治的。另外,近年发展迅猛的... 详细信息

当前美容修复临床方案多基于欧美国家提出的口腔美感指标(简称欧美审美)制定,但机械地照搬欧美口腔美容修复方案,忽视了其与中国人口腔美感指标(简称中式审美)的差别,是无法有效支撑国人个性化口腔美容修复诊治的。另外,近年发展迅猛的美容修复新技术、新方案层出不穷,但不少热门概念的内涵混淆不清,也缺乏应有的分级诊疗规范,急需讨论明晰。本文从服务好口腔美容修复临床运用出发,探讨了中译词“美学”的不足与误用,美学与美容的区别与联系,美容修复与固定修复的相关关系,还讨论了前牙区、美学区与暴露区的差别、口腔审美分析的诊疗价值,以及脱敏、暗示等疗法在口腔疑难美容修复病例中的运用方法。进一步介绍了审美分析引导的暴露区牙位修复重建的决策树及临床路径,并案析介绍了审美分析评估临床流程、口腔美容修复临床三分类及相应的临床分类诊疗要点。

关键词：口腔美容修复审美分析分类诊疗临床路径决策树脱敏疗法暗示疗法