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Physical activity engagement af.er breast cancer: Advancing the health of.survivors

Health 2013年第5期5卷 838-846页

作者： S. Y. Loh S. L. Chew k. f. quek Department of.Rehabilitation Faculty of Medicine University of Malaya Kuala Lumpur Malaysia School of.Medicine and Health Sciences Monash University Sunway Malaysia

Back.round: Physical inactivity is identif.ed as the f.urth leading risk.f.ctor f.r global mortality and associated with increased breast cancer diagnosis and risk. of.recurrence. Objectives: To investigate the level of.physical activity engagement af.er breast cancer in survivors and healthy controls. Design: A descriptive casecontrol study on survivors and matched (ethnic, gender, age) healthy controls was surveyed using a pre-post questionnaire and a 1-minute cancer control media. The socio- and medical demographic data, physical activity status inf.rmation were obtained f.om self.report questionnaires. Results: Breast cancer survivors (n = 51) were f.und to participate in low-moderate level of.physical activity while healthy controls (n = 45) participated in moderate-vigorous level of.physical activity. Healthy adults reported more barriers and excuses but all participants (90% survivors and control) were unaware of.the strong inverse relationship between level of.physical activity and risk. of.cancer recurrence. The post test on video showed an increased awareness and intention to re-engagement in physical activity f.r cancer control (M = 7.1 ± 1.53, p f.nding suggests that simple public health message within the Model of.cancer survivorship care must be disseminated. The “teachable moments” af.er a cancer diagnosis should be optimised to promote rehabilitation f.r physically active lif.style.

关键词： Cancer Control Physical Activity Breast Cancer Public Health Rehabilitation

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Matching while Learning: Wireless Scheduling f.r Age of.Inf.rmation Optimization at the Edge

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China Communications 2023年第3期20卷 347-360页

作者： k.n Guo Hao Yang Peng Yang Wei f.ng Tony Q.S.quek School of.Communications and Electronics Engineering East China Normal UniversityShanghai 200241China Chongqing k.y Laboratory of.Precision Optics Chongqing Institute of East China Normal UniversityChongqing 401120China Zhejiang University/University of.Illinois at Urbana-Champaign Institute Zhejiang UniversityHaining 314400China School of.Electronic and Inf.rmation Engineering Beihang UniversityBeijing 100083China Beijing National Research Center f.r Inf.rmation Science and Technology Department of Electronic EngineeringTsinghua UniversityBeijing 100084China Inf.rmation Systems Technology and Design(ISTD)Pillar Singapore University of Technology and DesignSingapore 487372

In this paper,we investigate the minimization of.age of.inf.rmation(AoI),a metric that measures the inf.rmation f.eshness,at the network.edge with unreliable wireless ***,we consider a set of.users transmitting status updates,which are collected by the user randomly over time,to an edge server through unreliable orthogonal *** begs a natural question:with random status update arrivals and obscure channel conditions,can we devise an intelligent scheduling policy that matches the users and channels to stabilize the queues of.all users while minimizing the average AoI?To give an adequate answer,we def.ne a bipartite graph and f.rmulate a dynamic edge activation problem with stability ***,we propose an online matching while learning algorithm(MatL)and discuss its implementation f.r wireless ***,simulation results demonstrate that the MatL is reliable to learn the channel states and manage the users’buf.ers f.r f.esher inf.rmation at the edge.

关键词： inf.rmation f.eshness Lyapunov opti-mization multi-armed bandit wireless scheduling

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