检索结果-南通市图书馆

A Loaded Label:Intricacies of Being a Fan in Henrik and Sara Linden's Fans and Fan Cultures

在线全文

学校读者我要写书评

暂无评论

Fudan Journal of the humanities and Social Sciences 2020年第4期13卷 615-622页

作者： Alexandra Fong Department of Media Cultureand CommunicationNew York University Steinhardt School of CultureEducationand Human Development239 Greene St8th FloorNew YorkNY 10003USA

In Fans and Fan Cultures,Henrik and Sara Linden examine what it means to be a fan in an increasingly globalized,digitized,and capitalized *** an age when personal information is easily searchable in the Internet era,people can now become fans immediately with the click of a"like,""follow,"or"subscribe"*** ideal fan is not an obsessive fanatic who claims ownership of the product,but rather one who is balanced and has a following of their own,thus making them not only a fan,but also an influencer and a brand *** worldwide media is largely controlled by an exclusive number of corporations that determine what kind of media we consume,fandom and fan communities offer a compromise:Though corporations and brands shape and control the majority of media content,fandom serves as an opportunity for people with shared interests to come together,forge connections,and find a sense of value and belonging that exists outside the *** analysis will concentrate on a selection of Linden and Linden's topics and explore how fandom has become a manifestation of the need for authentic,meaningful connections in a time when technological development effectively renders authenticity as a bargaining chip in a much larger marketing ploy.

关键词： Fandom Fan culture Fan creation Consumerism Social media Cultural production Connection Authenticity Coping mechanisms Identity

Estimation of Battery State of Health Using Back Propagation Neural Network

维普期刊数据库评论

在线全文

维普期刊数据库

学校读者我要写书评

暂无评论

Computer Aided Drafting,Design and Manufacturing 2014年第1期24卷 60-63页

作者： CHANG Cheng LIU Zheng-yu HUANG Ye-wei WEI De-qi ZHANG Li ATECH Automotive Wuhu Co. Ltd school of Machinery and Automobile Engineering Hefei University of Technology Engineering Research Center of Safety-critical Industry Measure and Control Technology of Ministry of Education

100 pieces of 26650-type Lithium iron phosphate（LiFePO4） batteries cycled with a fixed charge and discharge rate are tested, and the influence of the battery internal resistance and the instantaneous voltage drop at the start of discharge on the state of health（SOH） is discussed. A back propagation（BP） neural network model using additional momentum is built up to estimate the state of health of Li-ion batteries. The additional 10 pieces are used to verify the feasibility of the proposed method. The results show that the neural network prediction model have a higher accuracy and can be embedded into battery management system（BMS） to estimate SOH of LiFePO4 Li-ion batteries.

关键词： LiFePO4 battery state of health neural network prediction model

Electro-mechanical Braking Method in Hybrid Electric Vehicles Based on Feedback Control Theory

在线全文

学校读者我要写书评

暂无评论

Computer Aided Drafting,Design and Manufacturing 2014年第1期24卷 55-59页

作者： ZHANG Li YU Jun-quan LIU Zheng-yu CHANG Cheng school of Machinery and Automobile Engineering Hefei University of Technology Engineering Research Center of Safety Critical Industry Measurement and Control Technology Ministry of Education ATECH Automotive Wuhu Co. Ltd

In this paper, the hybrid electric vehicle braking process is researched, by using variables consists of HEV speed, motor speed, and state of charge established, fimctions of mechanical braking force, regenerative braking force and efficiency of energy recovery are constructed, and the control goal is to maximization the energy recovery efficiency. Under the feedback control strategy, with the constrain condition of braking strength and braking stability, combining experiments in ADVISOR, in different experiments of different working conditions, we can see that in UDDS Cycle, the regenerative braking efficiency is the best. What＇s more, compared with strategies in ADVISOR, strategy proposed in this paper is obviously better.

关键词： hybrid electrical vehicle feedback control regenerative braking efficiency ADVISOR

推进智能制造的技术升级路线——并行推进、融合发展

在线全文

学校读者我要写书评

暂无评论

Engineering 2019年第4期 211-234页

作者：周源臧冀原苗仲桢 Tim Minshall school of Public Policy and Management Tsinghua University Institute for Manufacturing University of Cambridge Center for Strategic Studies Chinese Academy of Engineering

面对以智能制造为核心技术的新一轮工业革命,西方工业发达国家制造业企业按照"串联式"技术路径推动升级——从数字化制造到数字化网络化制造,再到新一代智能制造范式。中国作为后发国家,在以智能制造为主攻方向推动制造业从中低端向中... 详细信息

面对以智能制造为核心技术的新一轮工业革命,西方工业发达国家制造业企业按照"串联式"技术路径推动升级——从数字化制造到数字化网络化制造,再到新一代智能制造范式。中国作为后发国家,在以智能制造为主攻方向推动制造业从中低端向中高端迈进的背景下,其升级路径更加复杂。中国企业在技术基础上"多化并存",广大企业特别是中小企业缺乏对智能制造的正确认识,导致部分智能制造项目无法达到预期效果。本研究旨在探索我国企业的智能制造技术升级路线,通过多个案例研究,对中国5个制造业企业智能制造实施案例比较分析,数据来源包括半结构化访谈和档案数据,提出了基于三个基本范式的智能制造技术升级路线分析模型,总结出推进智能制造的技术升级路线——"并行推进、融合发展"。本文所阐释的技术升级路线有利于指导制造企业、决策者和投资者选择适合自己的智能制造推进路径,具有重要的现实意义。

关键词：智能制造升级路径中国制造数字化网络化新一代智能制造

在线全文

同方期刊数据库

学校读者我要写书评

暂无评论

鸽群智能优化专题简介

中国科学：信息科学 2019年第7期49卷 939-940页

作者：段海滨梁静 Ponnuthurai Nagaratnam SUGANTHAN 北京航空航天大学自动化科学与电气工程学院北京100191 郑州大学电气工程学院郑州450001 school of Electrical & Electronic Engineering Nanyang Technological University Singapore 639798 Singapore

2016年8月,美国国防部国防科学委员会发布了Autonomy,指出"未来人工智能战争不可避免".2017年7月,美国情报高级研究计划局发布了Artificial Intelligence and National Security,再次指出“人工智能技术是国家安全的颠覆性技术”.2017年... 详细信息

2016年8月,美国国防部国防科学委员会发布了Autonomy,指出"未来人工智能战争不可避免".2017年7月,美国情报高级研究计划局发布了Artificial Intelligence and National Security,再次指出“人工智能技术是国家安全的颠覆性技术”.2017年7月21日,中国国务院发布了《新一代人工智能发展规划》,文中共21次提到“群体智能”,并多次提及“群体认知”、“群体感知”、协同与演化”、“群体集成智能”等概念.简单而言,群体智能是受群居性动物集体行为启发,用于设计问题求解算法和分布式系统的理论与方法.

关键词：智能优化人工智能技术美国国防部群体智能鸽群科学委员会分布式系统国家安全

先进纤维材料规模化制造催生织物智能体（英文）

在线全文

学校读者我要写书评

暂无评论

Science Bulletin 2024年第23期 3644-3647页

作者：李攀杨麦萍刘玥珩张晶何思斯杨翠微杨卫忠蔡新元朱丽萍叶圣麟孙宏玉侯冲周宁朱美芳陶光明 Wuhan National Laboratory for Optoelectronics Huazhong University of Science and Technology school of Mechanical Engineering and Electronic Information China University of Geosciences (Wuhan) Shenzhen Key Laboratory of Flexible Printed Electronics Technology School of ScienceHarbin Institute of Technology Department of Biomedical Engineering School of Information Science and TechnologyFudan University Shanghai Different Advanced Material Co. Ltd. school of Architecture and Urban Planning Huazhong University of Science and Technology State Key Laboratory for Modification of Chemical Fibers and Polymer Materials College of Materials Science and EngineeringDonghua University Meta Reality Lab Meta PlatformsInc. school of Nursing Peking University school of Optical and Electronic Information Huazhong University of Science and Technology Department of Cardiology Beijing Anzhen HospitalCapital Medical UniversityNational Clinical Research Center for Cardiovascular Diseases Key Laboratory of Vascular Aging Ministry of EducationTongji Hospital Tongji Medical CollegeHuazhong University of Science and Technology State Key Laboratory of Material Processing and Die&Mould Technology School of Materials Science and EngineeringHuazhong University of Science and Technology school of Physical Education Huazhong University of Science and Technology

Artificial intelligence(AI) is crucial in driving scientific, technological, and industrial advancements, and it has given rise to an ambient intelligence that can potentially improve the physical execution of healthcare delivery [1,2]. Among diverse advanced AI technologies, an intelligent agent with multi-parameter perception, decision-making, and execution capabilities demonstrates the potential for facilitating the development of next-generation optoelectronic devices. The intelligent agent is a physical or abstract entity that acts autonomously, perceives and interacts with its environment, and communicates with other agents [3]. It could perceive dynamic environmental conditions, execute actions,and make appropriate decisions. Fabric emerges as an ideal carrier for human-centered intelligent agents, providing various properties such as perceptibility, adaptability, and wearability. Intelligent fabric, known for its unique functionality, has attracted considerable attention from academia and industry.

关键词：

Poor performance of the modified early warning score for predicting mortality in critically ill patients presenting to an emergency department

在线全文

同方期刊数据库

学校读者我要写书评

暂无评论

World Journal of Emergency Medicine 2013年第4期4卷 273-277页

作者： Le Onn Ho Huihua Li Nur Shahidah Zhi Xiong Koh Papia Sultana Marcus Eng Hock Ong Department of Emergency Medicine Singapore General HospitalSingapore Department of Clinical Research Singapore General HospitalSingapore Office of Clinical Science Duke-NUS Graduate Medical SchoolSingapore

BACKGROUND:This study was undertaken to validate the use of the modified early warning score(MEWS) as a predictor of patient mortality and intensive care unit(ICU)/ high dependency(HD)admission in an Asian ***:The MEWS was applied to a retrospective cohort of 1 024 critically ill patients presenting to a large Asian tertiary emergency department(ED) between November 2006 and *** MEWS was calculated based on vital signs parameters on arrival at *** of mortality and ICU/HD admission were obtained from hospital *** ability of the composite MEWS and its individual components to predict mortality within 30 days from ED visit was ***,specificity,positive and negative predictive values were derived and compared with values from other cohorts.A MEWS of ≥4 was chosen as the cut-off value for poor prognosis based on previous ***:A total of 311(30.4%) critically ill patients were presented with a MEWS ≥*** mean age was 61.4 years(SD 18.1) with a male to female ratio of *** the 311 patients,53(17%)died within 30 days,64(20.6%) were admitted to ICU and 86(27.7%) were admitted to *** area under the receiver operating characteristic curve was 0.71 with a sensitivity of 53.0%and a specificity of 72.1%in addition to a positive predictive value(PPV) of 17.0%and a negative predictive value(NPV)of 93.4%(MEWS cut-off of ≥4) for predicting ***:The composite MEWS did not perform well in predicting poor patient outcomes for critically ill patients presenting to an ED.

关键词： Modified early warning score Emergency department Outcomes Triage

在线全文

学校读者我要写书评

暂无评论

阿尔茨海默病居家筛查专家共识

阿尔茨海默病及相关病杂志 2024年第3期7卷 176-183页

作者：徐群 JWesson Ashford 陈彪陈树斌 Jeffrey Cummings 顾柏俊郭起浩韩璎花迎雪金华 Nagaendran Kandiah 李海雁刘晓蕾刘新卢佩琳裴中施晓耕孙凯汤彬 Goerge Vradenburg 王惠芳王军王晓明王艳蕊王艳梅王玉林翁文锋辛美哲张玉兰赵禾欣周显波王虹峥上海交通大学医学院附属仁济医院上海200127 Stanford university Palo AltoCA美国首都医科大学宣武医院北京100053 上海市安达医院上海201204 university of Nevada Las VegasNV美国澳大利亚墨尔本大学Florey研究所墨尔本澳大利亚上海市第六人民医院 200233上海上海市新场社区卫生服务中心上海200065 university of California San DiegoCA美国 nanyang technological university 新加坡大理市第一人民医院云南大理671013 昆明医科大学第一附属医院昆明650032 成都大学附属医院成都610040 浙江大学医学院附属邵逸夫医院杭州310009 中山大学附属第一医院广州510080 广东省干部保健中心广州510080 汕头大学医学院龙岗影像研究所广东汕头515041 上海剪爱公益发展中心上海201824 Davos Alzheimer's Collaborative WaynePA美国同济大学附属养志康复医院(上海市阳光康复中心) 上海201613 北京交通大学生命科学与生物工程研究院北京100044 川北医学院附属医院四川南充637002 北京市石景山区乐龄老年社会工作服务中心北京100040 昆明市中医医院昆明650011 深圳龙城医院深圳518100 广州市白云区新市街社区卫生服务中心广州510410 中华预防医学会北京100021 中国人民解放军总医院北京100039 北京医院北京100730 华盛顿临床研究学院阿尔茨海默研究中心(美国) 阿斯诺来(上海)医药科技有限公司上海200131 阿尔茨海默病防治协会北京100027

老年人痴呆或认知障碍多由一种以上年龄相关的常见脑部疾病所致。阿尔茨海默病(Alzheimer's disease,AD)是其中最常见的神经变性疾病,且是全球前10位死因中唯一无法治愈或缺乏长期对症疗效的疾病,给个人、家庭和全球经济都带来了巨大的... 详细信息

老年人痴呆或认知障碍多由一种以上年龄相关的常见脑部疾病所致。阿尔茨海默病(Alzheimer's disease,AD)是其中最常见的神经变性疾病,且是全球前10位死因中唯一无法治愈或缺乏长期对症疗效的疾病,给个人、家庭和全球经济都带来了巨大的负担。早期及时发现和干预是对抗AD的最佳策略。在过去的30年中,许多研究都提出了降低痴呆风险的方法,2020年《柳叶刀》杂志的痴呆预防报告已阐明通过应对风险因素可以预防或延缓超过40%的痴呆。然而,目前全球医疗体系尚未具备早期或及时发现AD的足够能力。最近的一项研究发现,只有不到10%的轻度认知障碍(mild cognitive impairment,MCI)是在初级医疗机构中诊断出来的。近来,抗淀粉样蛋白β(Amyloid beta,Aβ)抗体药物lecanemab和donanemab被批准上市用于早期AD治疗,以及30年的随访研究证明改善风险因素显著减少AD痴呆的发病率并延长了寿命,使得人们对AD早期识别的关注迅速增加。阿尔茨海默病防治协会(China Association for Alzheimer's Disease,CAAD)认识到居家早期和及时发现AD的重要性,并成立了一个由协会成员、临床医生和研究人员组成的全球AD多领域专家团队,就以下目标达成共识:①为个人、家庭、社区、协会和组织提供专家指导意见;②介绍用于认知障碍和痴呆居家筛查的数字工具和可用资源,并为AD高危人群或疑似患者制定下一步应对策略;③讨论现有可用或将来可能的居家筛查适宜AD生物标志物;④为未来的改进和全球应用建立可行性框架。专家组对于当前可用的证据、工具和资源进行综述,并进一步考量其在AD居家筛查中的价值。

关键词：认知评估阿尔茨海默病认知障碍痴呆居家筛查