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A survey of energy-efficient strategies for federated learning in mobile edge computing

Frontiers of Information Technology & Electronic Engineering 2024年第5期25卷 645-663页

作者： kang yan Nina SHU Tao WU Chunsheng LIU Panlong yanG School of Electronic Engineering National University of Defense TechnologyHefei 230009China Department of Computing Hong Kong Polytechnic UniversityHong Kong 999077China School of Computer Science and Technology University of Science and Technology of ChinaHefei 230026China

With the booming development of fifth-generation network technology and Internet of Things,the number of end-user devices(EDs)and diverse applications is surging,resulting in massive data generated at the edge of *** process these data eficiently,the innovative mobile edge computing(MEC)framework has emerged to guarantee low latency and enable eficient computing close to the user ***,federated learning(FL)has demonstrated its empirical success in edge computing due to its privacy-preserving ***,it becomes a promising solution for analyzing and processing distributed data on EDs in various machine learning tasks,which are the major workloads in ***,EDs are typically powered by batteries with limited capacity,which brings challenges when performing energy-intensive FL *** address these challenges,many strategies have been proposed to save energy in *** the absence of a survey that thoroughly summarizes and classifies these strategies,in this paper,we provide a comprehensive survey of recent advances in energy-efficient strategies for FL in ***,we first introduce the system model and energy consumption models in FL,in terms of computation and *** we analyze the challenges regarding improving energy efficiency and summarize the energy-efficient strategies from three perspectives:learning-based,resource allocation,and client *** conduct a detailed analysis of these strategies,comparing their advantages and ***,we visually illustrate the impact of these strategies on the performance of FL by showcasing experimental ***,several potential future research directions for energy-efficient FL are discussed.

关键词： Mobile edge computing Federated learning Energy-efficient

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Bioinspired sensing-memory-computing integrated vision systems: biomimetic mechanisms, design principles, and applications

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Science China(Information Sciences) 2024年第5期67卷 5-27页

作者： Yujie HUANG Yinlong TAN yan kang Yabo CHEN Yuhua TANG Tian JIANG Institute for Quantum Information and State Key Laboratory of High Performance Computing College of Computer National University of Defense Technology College of Advanced Interdisciplinary Studies National University of Defense Technology Institute for Quantum Science and Technology College of ScienceNational University of Defense Technology

With the explosion of sensory data in the Internet of Things(Io T) era, conventional machine vision systems are becoming increasingly difficult to meet the requirements of high efficiency, low energy consumption, and low latency due to their inherent shortcomings of separate sensing, memory, and computing units. Inspired by the retina and neuromorphic computing, the sensing-memory-computing integrated vision system(SMCVS) that features low power consumption, low latency, and high parallelism has been considered a promising technology to surpass the von Neumann architecture and realize strong artificial ***, novel materials like two-dimensional semiconductors and quantum dots with novel optoelectronic performance provide hardware carriers for implementing integrated sensing-memory-computing architectures,attracting considerable attention. This paper reviews the recent research progress in bioinspired vision systems in terms of biomimetic mechanisms, design principles, computational architectures, and ***, the biomimetic mechanisms are illustrated to guide the design of high-performance artificial visual perception systems. Then the research progress of optoelectronic-synapse-based bioinspired vision systems in the device principles and applications including image filtering, color recognition, visual adaptation, and motion detection are summarized. Finally, the challenges and future developing directions of the SMCVS are provided regarding bionic application, architecture design, and device fabrication.

关键词： sensing-memory-computing architecture neuromorphic computing retinomorphic device image recognition visual system

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Machine learning and neural network supported state of health simulation and forecasting model for lithium-ion battery

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Frontiers in Energy 2024年第2期18卷 223-240页

作者： Nan QI kang yan Yajuan YU Rui LI Rong HUANG Lai CHEN Yuefeng SU Beijing Institute of Technology Chongqing Innovation Center Chongqing 401120China Department of Energy and Environmental Materials School of Materials Science and EngineeringBeijing Institute of TechnologyBeijing 100081China Beijing Electric Vehicle Co. Ltd.Beijing 100176China

As the intersection of disciplines deepens,the field of battery modeling is increasingly employing various artificial intelligence(AI)approaches to improve the efficiency of battery management and enhance the stability and reliability of battery *** paper reviews the value of AI methods in lithium-ion battery health management and in particular analyses the application of machine learning(ML),one of the many branches of AI,to lithium-ion battery state of health(SOH),focusing on the advantages and strengths of neural network(NN)methods in ML for lithium-ion battery SOH simulation and *** is one of the important branches of ML,in which the application of NNs such as backpropagation NN,convolutional NN,and long short-term memory NN in SOH estimation of lithium-ion batteries has received wide *** so far have shown that the utilization of NN to model the SOH of lithium-ion batteries has the advantages of high efficiency,low energy consumption,high robustness,and scalable *** the future,NN can make a greater contribution to lithium-ion battery management by,first,utilizing more field data to play a more practical role in health feature screening and model building,and second,by enhancing the intelligent screening and combination of battery parameters to characterize the actual lithium-ion battery SOH to a greater *** in-depth application of NN in lithium-ion battery SOH will certainly further enhance the science,reliability,stability,and robustness of lithium-ion battery management.

关键词： machine learning lithium-ion battery state of health neural network artificial intelligence

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经鼻高流量氧疗和无创通气在急性呼吸窘迫综合征治疗中的价值

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中华医学杂志 2024年第15期104卷 1230-1235页

作者：杨姗杨婧康焰四川大学华西医院重症医学科成都610041

急性呼吸窘迫综合征(ARDS)是重症医学科最常见的综合征之一,具有较高的发病率和病死率。顽固性低氧是ARDS最主要的表现,改善低氧是治疗ARDS的关键。由于ARDS病情进展迅速,通常需要使用有创通气,但近年来随着对ARDS认识的加深以及无创氧... 详细信息

急性呼吸窘迫综合征(ARDS)是重症医学科最常见的综合征之一,具有较高的发病率和病死率。顽固性低氧是ARDS最主要的表现,改善低氧是治疗ARDS的关键。由于ARDS病情进展迅速,通常需要使用有创通气,但近年来随着对ARDS认识的加深以及无创氧疗的发展,使经鼻高流量氧疗(HFNO)和无创机械通气(NIV)在ARDS中逐渐得以运用,本文就HFNO和NIV在ARDS中的运用价值进行述评。

关键词：呼吸窘迫综合征,成人经鼻高流量氧疗无创通气

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基于特征交互结构的弱光目标检测

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计算机工程与应用 2024年第11期60卷 224-232页

作者：麦锦文李浩康雁云南大学信息学院昆明650504 云南省智慧旅游工程研究中心昆明650504 云南大学软件学院昆明650504

针对当前主流、先进的目标检测算法在弱光场景下对目标检测精度较低的问题,分析弱光图像削弱了传统卷积神经网络依赖的局部相关性归纳偏置,引入对全局特征有着出色建模能力的Swin Transformer stage以实现全局注意,增强特征信息量。将... 详细信息

针对当前主流、先进的目标检测算法在弱光场景下对目标检测精度较低的问题,分析弱光图像削弱了传统卷积神经网络依赖的局部相关性归纳偏置,引入对全局特征有着出色建模能力的Swin Transformer stage以实现全局注意,增强特征信息量。将全局注意以并行方式与局部卷积共同抽取弱光图像特征,并提出了一种特征交互结构(feature interaction structure,FIS),通过精心设计的二次交互方式,能有效解析、利用和结合局部与全局信息。基于FIS堆叠构造交互式并行双流骨干网络FISNet,实现对两类特征的深度融合,并提供对密集预测型任务十分重要的层级特征结构。FISNet在弱光图像数据集ExDark上达到了40.6 AP,与EfficientNet等基准模型相比,得到了+0.5~2.9 AP的检测精度提升,在弱光目标检测场景中具有良好的应用。

关键词：弱光图像目标检测全局特征特征交互结构

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二甲双胍在乳腺癌进展和治疗中作用及其机制的研究进展

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中国肿瘤生物治疗杂志 2024年第1期31卷 94-100页

作者：康言(综述) 杨妍杨赟(审阅) 新乡医学院基础医学院生物化学与分子生物学系河南新乡453003

随着乳腺癌患者生存期的延长,肿瘤耐药性成为治疗过程的严峻挑战之一,临床通常将细胞死亡标志物的增加作为预测乳腺肿瘤患者生存率提高的标准。通过刺激肿瘤细胞死亡途径来提高抗肿瘤药物治疗的效果,使用某些佐剂是一种可行的方法。研... 详细信息

随着乳腺癌患者生存期的延长,肿瘤耐药性成为治疗过程的严峻挑战之一,临床通常将细胞死亡标志物的增加作为预测乳腺肿瘤患者生存率提高的标准。通过刺激肿瘤细胞死亡途径来提高抗肿瘤药物治疗的效果,使用某些佐剂是一种可行的方法。研究表明,二甲双胍(Met)是治疗Ⅱ型糖尿病的一线药物,同时具有抗肿瘤特性,其能增强细胞死亡机制,尤其是促进肿瘤细胞自噬、凋亡和铁死亡。同时证明,Met对免疫系统的刺激作用在诱导肿瘤细胞死亡方面发挥作用,其诱导不同细胞死亡机制在增敏抗肿瘤药物治疗中起着关键作用。本文论述了Met对乳腺癌肿瘤微环境(TME)的调控作用机制及其在抗肿瘤药物治疗中的增敏作用,对Met在临床前和临床免疫治疗中的研究方向提出建议。

关键词：二甲双胍乳腺癌细胞死亡抗肿瘤肿瘤微环境

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基于数字孪生的磁流变液延时机构延迟解除隔离时间降阶模型

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探测与控制学报 2024年第2期46卷 33-39,47页

作者：康岩陆静南京理工大学江苏南京210094 机电动态控制重点实验室陕西西安710065

为建立满足实时性要求的磁流变液延时机构数字孪生体,针对传统流场仿真计算比较复杂耗时的问题,构建了该机构流体域降阶模型以实现其延时性能的快速计算。利用磁流变液延时机构流体域有限元全阶模型的参数化仿真作为样本数据,在DOE实验... 详细信息

为建立满足实时性要求的磁流变液延时机构数字孪生体,针对传统流场仿真计算比较复杂耗时的问题,构建了该机构流体域降阶模型以实现其延时性能的快速计算。利用磁流变液延时机构流体域有限元全阶模型的参数化仿真作为样本数据,在DOE实验设计的基础上采用响应面法完成了流体域降阶模型建立,并结合有限元全阶模型仿真及高速旋转等效试验验证了降阶模型的精度及其可行性。结果表明传统流场与降阶模型仿真结果趋势相同,在检验工况中两者误差在5%以内,但降阶模型的仿真速度是流场仿真的100倍,即降阶模型可以在保证磁流变液延时机构模型求解精度的同时提高求解效率。

关键词：数字孪生磁流变液延时机构响应面法降阶模型

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基于授权原理的行为干预在2型糖尿病患者中的应用效果

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中国民康医学 2024年第8期36卷 174-177页

作者：闫康郑州市第七人民医院感染防控科河南郑州450000

目的:观察基于授权原理的行为干预在2型糖尿病患者中的应用效果。方法:回顾性分析2019年12月至2021年12月该院收治的122例2型糖尿病患者的临床资料,根据护理方法不同将其分为对照组和观察组各61例。对照组实施常规护理,观察组实施基于... 详细信息

目的:观察基于授权原理的行为干预在2型糖尿病患者中的应用效果。方法:回顾性分析2019年12月至2021年12月该院收治的122例2型糖尿病患者的临床资料,根据护理方法不同将其分为对照组和观察组各61例。对照组实施常规护理,观察组实施基于授权原理的行为干预。比较两组用药依从性、护理前后血糖[空腹血糖(FPG)、餐后2 h血糖(2hPG)、糖化血红蛋白(HbAlc)]水平、自我护理行为[糖尿病患者自我护理行为量表(SDSCA)]评分、生命质量[世界卫生组织生存质量测定量表简表(WHOQOL-BREF)]评分及不良事件发生率。结果:观察组用药依从性为96.72%(59/61),高于对照组的85.25%(52/61),差异有统计学意义(P<0.05);护理后,两组FPG、2hPG、HbAlc水平均低于护理前,且观察组低于对照组,差异有统计学意义(P<0.05);两组用药、自我监测、饮食控制、足部护理、运动等各项SDSCA评分均高于护理前,且观察组高于对照组,差异有统计学意义(P<0.05);两组生理健康、心理健康、社会关系、周围环境等各项WHOQOL-BREF评分均高于护理前,且观察组高于对照组,差异有统计学意义(P<0.05);观察组不良事件发生率为3.28%(2/61),低于对照组的16.39%(10/61),差异有统计学意义(P<0.05)。结论:基于授权原理的行为干预应用于2型糖尿病患者,可提高其用药依从性及自我护理行为,降低血糖水平,改善生命质量,减少不良事件发生率,效果优于常规护理。

关键词：授权原理行为干预 2型糖尿病用药依从性血糖不良事件

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腹泻犬粪源大肠埃希氏菌的分离鉴定及其耐药特性与毒力基因的检测

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动物医学进展 2024年第6期45卷 39-44页

作者：邓亚飞王康闫康张留君贺绍君安徽科技学院动物科学学院/动物营养调控与健康安徽省重点实验室安徽凤阳233100

为检测蚌埠地区腹泻犬肠道大肠埃希氏菌的耐药特性和毒力基因携带情况,采集75份腹泻犬粪便样本进行大肠埃希氏菌的分离鉴定,采用Kirby-Bauer(K-B)纸片扩散法对12种抗菌药物的耐药性进行检测,通过PCR对6种耐药基因及6种毒力基因进行检测... 详细信息

为检测蚌埠地区腹泻犬肠道大肠埃希氏菌的耐药特性和毒力基因携带情况,采集75份腹泻犬粪便样本进行大肠埃希氏菌的分离鉴定,采用Kirby-Bauer(K-B)纸片扩散法对12种抗菌药物的耐药性进行检测,通过PCR对6种耐药基因及6种毒力基因进行检测。结果共分离得到62(82.7%,62/75)株大肠埃希氏菌,分离菌株对恩诺沙星耐药率为46.8%,对氨基糖苷类耐药率为9.7%~16.1%,其中丁胺卡那霉素为16.1%;头孢菌素类为6.5%~12.9%,其中头孢他啶为12.9%;喹诺酮类耐药基因qnr检出率为51.6%,头孢菌素类耐药基因blaCMY-2为9.7%;毒力基因mdh、fimC、ompA的检出率分别为100%、64.5%和74.2%。结果表明所分离大肠埃希氏菌对不同抗菌药物的耐药差异较大,耐药基因的分布与耐药表型有较高的相关性,mdh、fimC和ompA为主要携带毒力基因。临床上应加强对细菌抗菌药物耐受和毒力变化的监测,以提高治疗效果,减少耐药菌株出现。

关键词：犬大肠埃希氏菌耐药性耐药基因毒力基因

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Gastrointestinal manifestations of critical ill heatstroke patients and their associations with outcomes:A multicentre,retrospective,observational study

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World Journal of Gastroenterology 2024年第4期30卷 346-366页

作者： Yu-Cong Wang Xin-yang Jin Zheng Lei Xiao-Jiao Liu Yu Liu Bang-Guo Zhang Jian Gong Lie-Tao Wang Lv-Yuan Shi Ding-Yuan Wan Xin Fu Lu-Ping Wang Ai-Jia Ma Yi-Song Cheng Jing yang Min He Xiao-Dong Jin yan kang Bo Wang Zhong-Wei Zhang Qin Wu Department of Critical Care Medicine West China HospitalSichuan UniversityChengdu 610041Sichuan ProvinceChina School of Pharmacy Macao University of Science and TechnologyMacao 999078China Department of Critical Care Medicine The First People's Hospital of Ziyang CityZiyang 641399Sichuan ProvinceChina Department of Critical Care Medicine The First People's Hospital of Guanghan CityChengdu 618399Sichuan ProvinceChina Department of Critical Care Medicine Lezhi County Traditional Chinese Medicine HospitalChengdu 641599Sichuan ProvinceChina Department of Critical Care Medicine Chengdu Qingbaijiang District People's HospitalChengdu 610399Sichuan ProvinceChina Department of Critical Care Medicine Ziyang People's HospitalChengdu 641399Sichuan ProvinceChina

BACKGROUND Extreme heat exposure is a growing health problem,and the effects of heat on the gastrointestinal(GI)tract is *** study aimed to assess the incidence of GI symptoms associated with heatstroke and its impact on *** To assess the incidence of GI symptoms associated with heatstroke and its impact on *** Patients admitted to the intensive care unit(ICU)due to heatstroke were included from 83 *** history,laboratory results,and clinically relevant outcomes were recorded at ICU admission and daily until up to day 15,ICU discharge,or *** symptoms,including nausea/vomiting,diarrhoea,flatulence,and bloody stools,were *** characteristics of patients with heatstroke concomitant with GI symptoms were *** regression analyses were performed to determine significant predictors of GI *** A total of 713 patients were included in the final analysis,of whom 132(18.5%)patients had at least one GI symptom during their ICU stay,while 26(3.6%)suffered from more than one *** with GI symptoms had a significantly higher ICU stay compared with those *** mortality of patients who had two or more GI symptoms simultaneously was significantly higher than that in those with one GI *** logistic regression analysis revealed that older patients with a lower GCS score on admission were more likely to experience GI *** The GI manifestations of heatstroke are common and appear to impact clinically relevant hospitalization outcomes.

关键词： Extreme heat Flatulence Sunstroke Intensive care units Diarrhea

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