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Machine learning applications in stroke medicine:advancements,challenges,and future prospectives

Neural Regeneration Research 2024年第4期19卷 769-773页

作者： Mario Daidone Sergio Ferrantelli Antonino Tuttolomondo Internal Medicine and Stroke Care Ward Department of Health PromotionMother and Child CareInternal Medicine and Medical SpecialtiesUniversity of Palermo Molecular and Clinical Medicine PhD Program University of Palermo

Stroke is a leading cause of disability and mortality worldwide,necessitating the development of advanced technologies to improve its diagnosis,treatment,and patient *** recent years,machine learning techniques have emerged as promising tools in stroke medicine,enabling efficient analysis of large-scale datasets and facilitating personalized and precision medicine *** abstract provides a comprehensive overview of machine learning’s applications,challenges,and future directions in stroke *** introduced machine learning algorithms have been extensively employed in all the fields of stroke *** learning models have demonstrated remarkable accuracy in imaging analysis,diagnosing stroke subtypes,risk stratifications,guiding medical treatment,and predicting patient *** the tremendous potential of machine learning in stroke medicine,several challenges must be *** include the need for standardized and interoperable data collection,robust model validation and generalization,and the ethical considerations surrounding privacy and *** addition,integrating machine learning models into clinical workflows and establishing regulatory frameworks are critical for ensuring their widespread adoption and impact in routine stroke *** learning promises to revolutionize stroke medicine by enabling precise diagnosis,tailored treatment selection,and improved *** research and collaboration among clinicians,researchers,and technologists are essential for overcoming challenges and realizing the full potential of machine learning in stroke care,ultimately leading to enhanced patient outcomes and quality of *** review aims to summarize all the current implications of machine learning in stroke diagnosis,treatment,and prognostic *** the same time,another purpose of this paper is to explore all the future perspectives these techniques can provide in combating this disabling dis

关键词： cerebrovascular disease deep learning machine learning reinforcement learning stroke stroke therapy supervised learning unsupervised learning

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Guest editorial:advances in control and decision for power and energy systems

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Journal of Control and Decision 2018年第2期5卷 115-116页

作者： Jun Chen Qin Wang Jianming Lian Wanning Li Idaho National Laboratory USA Present address:General MotorsUSA National Renewable Energy Laboratory USA present address:Electric Power Research Institute USA Pacific Northwest National Laboratory USA Southern California Edison USA

As guest editors,we are delighted to introduce this special issue devoted to control and decision in power and energy *** the last decades,the penetration level of intermittent renewable energy into power grid is continuously growing,while at the same time the load pattern is also under fast changes with the introduction of,for example,plug-in electric vehicles and smart electrical home *** intermittency of renewable generation along with the variability of load pattern have imposed significant challenges on the power grid *** the grid hybridisation and modernisation have a lot of environmental benefits,innovative technologies on power and energy systems modelling,simulation,control,optimisation,diagnosis and security/resiliency analysis are needed to ensure the stability and reliability of the future power *** growing trend in the power grid is the integration of Distributed Energy Resources(DERs)including distributed generators,energy storages and demand response in power distribution ***,electric loads are usually passive and ***,with the development of demand response techniques,electric loads can now be actively controlled to provide grid *** have large population size and fast aggregate ramping rate,and thus,present an enormous potential to mitigate the uncertainty from renewable generation and accommodate large-scale renewable integration.

关键词： power devoted diagnosis

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Conversion therapy for unresectable hepatocellular carcinoma:Advances and challenges

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World Journal of Gastrointestinal Oncology 2024年第10期16卷 4289-4297页

作者： Yan-Fei He Department of health Management Center The Sixth Medical CenterChinese People’s Liberation Army General HospitalBeijing 100048China

Recently,the World Journal of Gastrointestinal Oncology published an article entitled“Pathologically successful conversion hepatectomy for advanced giant hepatocellular carcinoma after multidisciplinary therapy:A case report and review of the literature”,in which the authors shared their successful experience with complete surgical resection after multidisciplinary conversion *** study by Chu et al demonstrates the great challenges that the advanced hepatocellular carcinoma(HCC)poses to surgical oncology,reveals the complexity of conversion therapy for unresectable HCC,emphasizes the important role of a multidisciplinary management model in conversion therapy,and enriches our understanding of the dynamics of personalized treatment for different *** present,conversion therapy is a hot research topic in the treatment of unresectable HCC,which has brought new hope to many patients with moderately advanced ***,there are still many urgent problems to be solved in conversion ***,we would like to further discuss the advances and challenges of conversion therapy for unresectable HCC with the authors and the general readers.

关键词： Unresectable hepatocellular carcinoma Conversion therapy Challenges Advances Advanced hepatocellular carcinoma Targeted therapy Immunotherapy

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Room-temperature ferroelectricity in van der Waals SnP_(2)S_(6)

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Frontiers of physics 2024年第4期19卷 113-123页

作者： Chaowei He Jiantian Zhang Li Gong Peng Yu State Key Laboratory of Optoelectronic Materials and technologies Guangzhou Key Laboratory of Flexible Electronic Materials and Wearable Devices Nanotechnology Research Center School of Materials Science and EngineeringSun Yat-sen UniversityGuangzhou 510275China Instrumental Analysis and Research Center Sun Yat-sen UniversityGuangzhou 510275China

Two-dimensional(2D)ferroelectric materials,which possess electrically switchable spontaneous polarization and can be easily integrated with semiconductor technologies,is of utmost importance in the advancement of high-integration low-power *** the experimental discovery of certain 2D ferroelectric materials such as CuInP2S6 and In2Se3,achieving stable ferroelectricity at room temperature in these materials continues to present a significant ***,stable ferroelectric order at room temperature in the 2D limit is demonstrated in van der Waals SnP_(2)S_(6) atom layers,which can be fabricated via mechanical exfoliation of bulk SnP_(2)S_(6) *** polarization is observed in thin SnP_(2)S_(6) of~7 ***,a van der Waals ferroelectric field-effect transistor(Fe-FET)with ferroelectric SnP_(2)S_(6) as top-gate insulator and ptype WTe0.6Se1.4 as the channel was designed and fabricated successfully,which exhibits a clear clockwise hysteresis loop in transfer characteristics,demonstrating ferroelectric properties of SnP_(2)S_(6) atomic *** addition,a multilayer graphene/SnP_(2)S_(6)/multilayer graphene van der Waals vertical heterostructure phototransistor was also fabricated successfully,exhibiting improved optoelectronic performances with a responsivity(R)of 2.9 A/W and a detectivity(D)of 1.4×10^(12) *** results show that SnP_(2)S_(6) is a promising 2D ferroelectric material for ferroelectric-integrated low-power 2D devices.

关键词： two-dimensional ferroelectric materials ferroelectric fieldeffect transistors photodetectors

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Transfer-free chemical vapor deposition graphene for nitride epitaxy: challenges, current status and future outlook

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Science China Chemistry 2024年第3期67卷 824-840页

作者： Xiang Gao Senlin Li Jingfeng Bi Kaixuan Zhou Meng Li Zhongfan Liu Jingyu Sun College of Energy Soochow Institute for Energy and Materials InnovationsSUDA-BGI Collaborative Innovation CenterKey Laboratory of Advanced Carbon Materials and Wearable Energy Technologies of Jiangsu ProvinceSoochow UniversitySuzhou 215006China Beijing Graphene Institute Beijing 100095China Xiamen Silan Advanced Compound Semiconductor Co.Ltd. Xiamen 361026China

Graphene, a two-dimensional material with outstanding electrical and mechanical properties, has attracted considerable attention in the field of semiconductor technologies due to its potential use as a buffer layer for the epitaxial Ⅲ-nitride growth. In recent years, significant progress has been made in the chemical vapor deposition growth of graphene on various insulating substrates for the nitride epitaxy, which offers a facile, inexpensive, and easily scalable methodology. However, certain challenges are still present in the form of producing high-quality graphene and achieving optimal interface compatibility with Ⅲ-nitride *** this review, we provide an overview of the bottlenecks associated with the transferred graphene fabrication techniques and the state-of-the-art techniques for the transfer-free graphene growth. The present contribution highlights the current progress in the transfer-free graphene growth on different insulating substrates, including sapphire, quartz, SiO_(2)/Si, and discusses the potential applications of transfer-free graphene in the Ⅲ-nitride epitaxy. Finally, it includes the prospects of the transfer-free graphene growth for the Ⅲ-nitride epitaxy and the challenges that should be overcome to realize its full potential in this field.

关键词： Transfer-free chemical vapor deposition graphene for nitride epitaxy challenges current status and future outlook graphene

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Research on the technical scheme of multi-stack common rail fuel cell engine based on the demand of commercial vehicle

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Energy and AI 2024年第2期16卷 241-255页

作者： Bo Li Qianya Xie Jun Li Ziliang Zhao Junming Lai Kang Li Fojin Zhou Wuhan University of Technology Automotive Engineering CollegeWuhan430070China National energy key laboratory for new hydrogen-ammonia energy technologies Foshan Xianhu LaboratoryFoshan528200China Tsinghua University Beijing266590China Shandong University of Science and Technology Qingdao266590China

At present,most fuel cell engines are single-stack systems,and high-power single-stack systems have bottlenecks in meeting the power requirements of heavy-duty trucks,mainly because the increase in the single active area and the excessive number of cells will lead to poor distribution uniformity of water,gas and heat in the stack,which will cause local attenuation and reduce the performance of the *** paper introduces the design concept of internal combustion engine,takes three-stack fuel cell engine as an example,designs multi-stack fuel cell system scheme and serialized high-voltage *** Intelligent control technology of independent hydrogen injection based on multi-stack coupling,the hydrogen injection inflow of each stack is controlled online according to the real-time anode pressure to achieve accurate fuel injection of a single stack and ensure the consistency between multiple *** the performance advantage of multi-stack fuel cell engine through theoretical design,intelligent control and test verification,and focuses on analyzing the key technical problems that may exist in multi-stack *** research results provide a reference for the design of multi-stack fuel cell engines,and have important reference value for the powertrain design of long-distance heavy-duty and high-power fuel cell trucks.

关键词： Heavy truck Multi-stack Fuel cell engine Three stack Performance Consistency

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Microwave shock motivating the Sr substitution of 2D porous GdFeO_(3) perovskite for highly active oxygen evolution

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Journal of Energy Chemistry 2024年第1期88卷 232-241,I0006页

作者： Jinglin Xian Huiyu Jiang Zhiao Wu Huimin Yu Kaisi Liu Miao Fan Rong Hu Guangyu Fang Liyun Wei Jingyan Cai Weilin Xu Huanyu Jin Jun Wan State Key Laboratory of New Textile Materials and Advanced Processing technologies Hubei Key Laboratory of Biomass Fibers and Eco-Dyeing&FinishingWuhan Textile UniversityWuhan 430200HubeiChina Future Industries Institute STEMUniversity of South AustraliaAdelaideSA 5095Australia Institute for Sustainability Energy and ResourcesThe University of AdelaideAdelaideSA 5005Australia

The incorporation of partial A-site substitution in perovskite oxides represents a promising strategy for precisely controlling the electronic configuration and enhancing its intrinsic catalytic *** methods for A-site substitution typically involve prolonged high-temperature *** these processes promote the development of unique nanostructures with highly exposed active sites,they often result in the uncontrolled configuration of introduced ***,we present a novel approach for synthesizing two-dimensional(2D)porous GdFeO_(3) perovskite with A-site strontium(Sr)substitution utilizing microwave shock *** technique enables precise control of the Sr content and simultaneous construction of 2D porous structures in one step,capitalizing on the advantages of rapid heating and cooling(temperature~1100 K,rate~70 K s^(-1)).The active sites of this oxygen-rich defect structure can be clearly revealed through the simulation of the electronic configuration and the comprehensive analysis of the crystal *** electrocatalytic oxygen evolution reaction application,the synthesized 2D porous Gd_(0.8)Sr_(0.2)FeO_(3) electrocatalyst exhibits an exceptional overpotential of 294 mV at a current density of 10 mA cm^(-2)and a small Tafel slope of 55.85 mV dec^(-1)in alkaline *** study offers a fresh perspective on designing crystal configurations and the construction of nanostructures in perovskite.

关键词： 2D materials Perovskite Microwave Electrocatalysis Oxygen evolution reaction

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Uncovering the magnetic response of open-shell graphene nanostructures on metallic surfaces at different doping levels

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Science China(Physics,Mechanics & Astronomy) 2024年第2期67卷 142-148页

作者： Zengfu Ou Jun Wang Jihai Zhang Yukang Ding Shenwei Chen Wenya Zhai Jingcheng Li Dingyong Zhong Donghui Guo School of Physics Sun Yat-sen UniversityGuangzhou 510275China Guangdong Provincial Key Laboratory of Magnetoelectric Physics and Devices School of PhysicsSun Yat-sen UniversityGuangzhou 510275China State Key Laboratory of Optoelectronic Materials and technologies Sun Yat-sen UniversityGuangzhou 510275China College of Chemical Engineering Zhejiang University of TechnologyHangzhou 310014China

Open-shell graphene nanostructures(GNs)are promising candidates for future spintronics and quantum *** progress based on on-surface synthetic approach has successfully created such GNs on metallic ***,the doping effect of metallic surfaces is inevitably present and can significantly tune their electronic and magnetic ***,we investigate the zigzag end states of open-shell 7-armchair graphene nanoribbons(7-AGNRs)on Au(111),Au(100)and Ag(111)*** with the manipulation of a scanning tunneling microscope,we demonstrate that the end states can be tuned from empty states to singly occupied states and to doubly occupied states by substrate ***,the singly occupied states can be finely tuned,with the occupancy number of the states and related magnetic behaviors uncovered by experiments at different temperatures and magnetic *** results provide a comprehensive study of the magnetic response of open-shell GNs on metallic surfaces at different doping levels.

关键词： open-shell graphene nanostructures magnetic response metallic substrate doping Kondo resonance scanning tunneling microscopy/spectroscopy

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Proposed numerical and machine learning models for fiber-reinforced polymer concrete-steel hollow and solid elliptical columns

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Frontiers of Structural and Civil Engineering 2024年第8期18卷 1169-1194页

作者： Tang QIONG Ishan JHA Alireza BAHRAMI Haytham F.ISLEEM Rakesh KUMAR Pijush SAMUI School of Applied technologies Qujing Normal UniversityQujing 655011China Department of Civil Engineering Indian Institute of Technology-BHUVaranasi 221005India Department of Building Engineering Energy Systems and Sustainability ScienceFaculty of Engineering and Sustainable DevelopmentUniversity of GävleGävle 80176Sweden Department of Civil Engineering National Institute of Technology-PatnaPatna 800005India

This study employs a hybrid approach,integrating finite element method(FEM)simulations with machine learning(ML)techniques to investigate the structural performance of double-skin tubular columns(DSTCs)reinforced with glass fiber-reinforced polymer(GFRP).The investigation involves a comprehensive examination of critical parameters,including aspect ratio,concrete strength,number of GFRP confinement layers,and dimensions of steel tubes used in DSTCs,through comparative analyses and parametric *** ensure the credibility of the findings,the results are rigorously validated against experimental data,establishing the precision and trustworthiness of the *** present research work examines the use of the columns with elliptical cross-sections and contributes valuable insights into the application of FEM and ML in the design and evaluation of structural systems within the field of structural engineering.

关键词： elliptical column fiber-reinforced polymer machine learning finite element method ABAQUS

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Simulation and forecasting of fishery weather based on statistical machine learning

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Information Processing in Agriculture 2024年第1期11卷 127-142页

作者： Xueqian Fu Chunyu Zhang Fuhao Chang Lingling Han Xiaolong Zhao Zhengjie Wang Qiaoyu Ma National Innovation Center for Digital Fishery China Agricultural UniversityBeijingChina Key Laboratory of Smart Farming technologies for Aquatic Animal and Livestock Ministry of Agriculture and Rural AffairsBeijingChina Beijing Engineering and Technology Research Center for Internet of Things in Agriculture BeijingChina College of Information and Electrical Engineering China Agricultural UniversityBeijingChina

As the new generation of artificial intelligence(AI)continues to evolve,weather big data and statistical machine learning(SML)technologies complement each other and are deeply integrated to significantly improve the processing and forecasting accuracy of fishery *** fishery weather services play a crucial role in fishery production,serving as a great safeguard for economic benefits and personal safety,enabling fishermen to carry out fishery production better,and contributing to the sustainable development of the fishery *** objective of this paper is to offer an understanding of the present state of research and development in SML technology for simulating and forecasting fishery ***,we analyze the current state of research and technical features of SML in weather and summarize the applications of SML in simulation and forecasting of fishery weather,which mainly include three aspects:fishery weather scenario generation,fishery weather forecasting,and fishery extreme weather *** also illustrate the main technical means and principles of SML ***,we summarize the most advanced SML fields and provide an outlook on their application value in the field of fishery weather.

关键词： Fishery weather Statistical machine learning Weather generation Weather forecasting Extreme weather warning

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