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John Wicks(John Wicks ),Kryss McKenna(Kryss McKenna ),Sharyn McSorley(Sharyn McSorley ),David Craig(David Craig ) 사피엔시아 2018 Exercise Medicine Vol.2 No.-
Objectives: Recording devices relying solely on heart rate (HR) are not considered accurate enough for measurement of energy expenditure of occupational physical activity (OPA) and leisure time physical activity (LTPA), due to factors which modulate the heart rate-oxygen uptake relationship such as smoking and cardiorespiratory fitness. This study used HR index which corrects for the effect of smoking and cardiorespiratory fitness on HR, to estimate the exercise intensity of occupational activity and determine whether smoking and exercise habits influenced work performance. Methods: A total of 176 hospital employees from five occupational categories (sedentary, ambulant-sedentary, light, moderate and heavy) wore an R-R interval recorder during a standard days’ work (mean recording time 6.4±0.9 hours). From HR histogram analysis, resting, mean and peak HRs and mean and peak indices were determined, with oxygen uptake, expressed as metabolic equivalents (METs), being estimated from the HR index equation. Results: Mean index, but not mean HR, showed a progressive increase from sedentary to heavy occupational categories, with the estimated mean MET levels for the entire work period ranging from 2.0 to 3.1 METs for males and 1.9 to 2.7 METs for females. Peak index tended to parallel the increase in mean index. Smoking had the effect of increasing resting HR by 7.5 beats∙min-1 with regular exercise participation lowering resting HR by 11.0 beats∙min-1, these two lifestyle factors limiting the accuracy of mean HR for determining exercise intensity Conclusions: Smoking and exercise habit significantly impact on resting, mean and peak HR during OPA and may influence work performance. The use of HR index as opposed to HR may improve the analysis of OPA and provide a simple method for estimation of both exercise intensity and energy expenditure.
Changes Observed in the 6-minute Walk Test in Response to Exercise-based Cardiac Rehabilitation
John R. Wicks(John R. Wicks ),Grant T. Turner(Grant T. Turner ),Sharon L. Leslie(Sharon L. Leslie ),Rohan Jayasinghe(Rohan Jayasinghe ) 사피엔시아 2022 Exercise Medicine Vol.6 No.-
Objectives: The six-minute walk test (6MWT) is widely used in exercise based cardiac rehabilitation (EBCR) for assessment of functional capacity. The purpose of this study was to assess the effect of structured exercise in an EBCR program on 6MWT change and to determine the significance of age, gender, body mass index (BMI), pathology and exercise attendance on influencing this outcome. Methods: Data from a single centre 6-week (twice weekly exercise and education of one-hour duration) exercise-based cardiac rehabilitation program were analysed. Between 2006 and 2019, 2524 patients (males 1923, females 601, mean age 63.5 ± 11.2 years) with cardiovascular disease completed a pre and post 6MWT. Analysis included the effect of age, gender, pathology, BMI and exercise attendance on 6MWT outcome. Results: The group mean improvement in the 6MWT was 21.8% (pre 6MWT 432 ± 83, post 6MWT 527 ± 102 metres). The age-related improvement showed that both males and females achieved a post 6MWT results equivalent to the pre 6MWT result of patients two decades younger with improvement in the 6MWT unrelated to exercise attendance. Conclusions: The 6MWT provides simple safe method for assessment of functional capacity in an out-of-hospital environment being suitable for all ages. The post EBCR 6MWT results showed a group mean improvement in excess of 20% for both sexes. The decline per decade in 6MWT distance is less than 20 metres up to the sixth decade with a more marked decline from the sixth to the eighth decade, the decline being approximately 40-metres for both sexes in the eighth decade.
Entanglement formation under random interactions
Wick, Christoph,Um, Jaegon,Hinrichsen, Haye IOP 2016 JOURNAL OF PHYSICS A-MATHEMATICAL AND THEORETICAL Vol.49 No.2
<P>The temporal evolution of the entanglement between two qubits evolving by random interactions is studied analytically and numerically. Two different types of randomness are investigated. Firstly we analyze an ensemble of systems with randomly chosen but time-independent interaction Hamiltonians. Secondly we consider the case of a temporally fluctuating Hamiltonian, where the unitary evolution can be understood as a random walk on the <I>SU</I>(4) group manifold. As a by-product we compute the metric tensor and its inverse as well as the Laplace–Beltrami for <I>SU</I>(4).</P>
Stat3 Activation in Murine Colitis Induced by Enterotoxigenic Bacteroides fragilis :
Wick, Elizabeth C.,Rabizadeh, Shervin,Albesiano, Emilia,Wu, XinQun,Wu, Shaoguang,Chan, June,Rhee, Ki-Jong,Ortega, Guillermo,Huso, David L.,Pardoll, Drew,Housseau, Franck,Sears, Cynthia L. Oxford University Press 2014 Inflammatory bowel diseases Vol.20 No.5
<P>Enterotoxigenic Bacteroides fragilis (ETBF), a molecular subclass of the common human commensal, B. fragilis, has been associated with inflammatory bowel disease. ETBF colitis is characterized by the activation of Stat3 and a Th17 immune response in the colonic mucosa. This study was designed to investigate the time course and cellular distribution of Stat3 activation in ETBF-colonized mice.</P>
지방자치단체 비상벨에 AI Whisper와 ChatGPT 기술연계
이우익(Woo-Wick Lee),박대우(Dea-woo Park) 한국정보통신학회 2024 한국정보통신학회논문지 Vol.28 No.2
Local governments in Korea are installing and operating emergency bells. The emergency bell must transmit the users emergency rescue call or crisis situation to the control center or police station. However, in the case of local government public emergency bells, in addition to situation-specific delivery, two-way emergency response is required to respond to emergency situations, and emergency support must be available even when personal information protection is necessary depending on the situation. Additionally, it must be possible to provide accurate answers to citizens questions or requests. In this paper, we connect Whisper and ChatGPT (Generative Pre-trained Transformer) systems to local government emergency bells, respond to emergency situation communication analysis through artificial intelligence video analysis, voice and text recognition and learning, and provide emergency response to more accurate responses. I want to study warning systems. This study is expected to provide a solution to improve the quality of life of the people.
Predictive Data Delivery to Mobile Users Through Mobility Learning in Wireless Sensor Networks
HyungJune Lee,Wicke, Martin,Kusy, Branislav,Gnawali, Omprakash,Guibas, Leonidas IEEE 2015 IEEE Transactions on Vehicular Technology VT Vol.64 No.12
<P>We consider applications, such as indoor navigation, evacuation, or targeted advertising, where mobile users equipped with a smartphone-class device require access to sensor network data measured in their proximity. Specifically, we focus on efficient communication protocols between static sensors and users with changing location. Our main contribution is to predict a set of possible future paths for each user and store data at sensor nodes with which the user is likely to associate. We use historical data of radio connectivity between users and static sensor nodes to predict the future user-node associations and propose a network optimization process, i.e., data stashing, which uses the predictions to minimize network and energy overheads of packet transmissions. We show that data stashing significantly decreases routing cost for delivering data from stationary sensor nodes to multiple mobile users compared with routing protocols where sensor nodes immediately deliver data to the last known association nodes of mobile users. We also show that the scheme provides better load balancing, avoiding collisions and consuming energy resources evenly throughout the network, leading to longer overall network lifetime. Finally, we demonstrate that even limited knowledge of the location of future users can lead to significant improvements in routing performance.</P>