Thematische Bibliographien / Heart rate calculation

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Auswahl der wissenschaftlichen Literatur zum Thema „Heart rate calculation“

Autor: Grafiati

Veröffentlicht am 23. Juni 2021

Zuletzt aktualisiert am 29. Juli 2025

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Zeitschriftenartikel zum Thema "Heart rate calculation"

Gasmi, Amin. "Calculation Methods in Heart Rate Variability." Interdisciplinary journal of Discontinuity, Nonlinearity, and Complexity 12, no. 4 (2023): 849–61. http://dx.doi.org/10.5890/dnc.2023.12.010.

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Sedliar, I. "Calculation the intensity of aerobic exercise in fitness." Scientific Journal of National Pedagogical Dragomanov University. Series 15. Scientific and pedagogical problems of physical culture (physical culture and sports), no. 12(120) (December 25, 2019): 105–9. http://dx.doi.org/10.31392/npu-nc.series15.2019.12(120)19.21.

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According to the vast majority of experts, aerobic exercises are basic in fitness. Their effectiveness in the practice involves the rational regulation of load parameters, one of which is the intensity of exercises. However as practice shows the proposed methods for determining the necessary intensity of aerobic exercises do not quite adequately take into account the individual characteristics - age and fitness level. The purpose of the research is to evaluate methods for calculating intensity of aerobic exercise in fitness. In our studies we proceeded from the fact that calculation meth

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Osipov, A. N., O. Ch Rolich, A. P. Kluev, V. D. Vladymtsev, S. A. Migalevich, and I. O. Khazanovsky. "Heart Rate Measurement Algorithm in the Monitoring System of Human Body Condition." Digital Transformation 29, no. 4 (2023): 66–72. http://dx.doi.org/10.35596/1729-7648-2023-29-4-66-72.

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The questions of measuring heart rate in systems for monitoring the functional state of a person operating in real time are considered. Recorders of systems of this class are sensitive to interference and noise caused by motor artifacts, electromagnetic interference from external sources, temporary degradation of sensors, etc. The ratio for the calculation of the heart rate is given and the calculation algorithm is described, which consists in registering an electrocardiogram, calculating the electrocardiogram spectrogram and forming the first numerical array from it, calculating the second Fo

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Connolly, Declan A. J. "How Accurate Is Your Training Heart Rate Calculation?" Strength and Conditioning Journal 24, no. 5 (2002): 15–16. http://dx.doi.org/10.1519/00126548-200210000-00004.

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Alkhoury, Ludvik, JiWon Choi, Vishnu D. Chandran, Gabriela B. De Carvalho, Saikat Pal, and Moshe Kam. "Dual Wavelength Photoplethysmography Framework for Heart Rate Calculation." Sensors 22, no. 24 (2022): 9955. http://dx.doi.org/10.3390/s22249955.

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The quality of heart rate (HR) measurements extracted from human photoplethysmography (PPG) signals are known to deteriorate under appreciable human motion. Auxiliary signals, such as accelerometer readings, are usually employed to detect and suppress motion artifacts. A 2019 study by Yifan Zhang and his coinvestigatorsused the noise components extracted from an infrared PPG signal to denoise a green PPG signal from which HR was extracted. Until now, this approach was only tested on “micro-motion” such as finger tapping. In this study, we extend this technique to allow accurate calculation of

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SR, Mittal. "Female Older t han Fifty Years Need a Different Regression Equation for Calculation of Age Predicted Maximal Heart Rate for Evaluation of Exercise Stress Test Using Bruce Protocol." Open Access Journal of Cardiology 7, no. 1 (2023): 1–8. http://dx.doi.org/10.23880/oajc-16000177.

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There is lack of consensus regarding regression equation to be used for calculation of age predicted maximal heart rate for evaluation of exercise stress test. We evaluated stage wise increase in heart rate during treadmill stress testing using Bruce protocol in seventy normal individual after excluding various confounding factors. We analyzed the data in two genders of different age groups and calculated the statistical significance of difference between different groups. Formula of 220-age was used for calculation of age predicted maximal heart rate. Females older than fifty years could not

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Kołodziej, Marcin, Andrzej Majkowski, Remigiusz J. Rak, Bartosz Świderski, and Andrzej Rysz. "System for automatic heart rate calculation in epileptic seizures." Australasian Physical & Engineering Sciences in Medicine 40, no. 3 (2017): 555–64. http://dx.doi.org/10.1007/s13246-017-0557-z.

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Sedliar, Iurii. "Calculation of the intensity of health improving aerobic loads." Scientific Journal of National Pedagogical Dragomanov University. Series 15. Scientific and pedagogical problems of physical culture (physical culture and sports), no. 5(125) (September 27, 2020): 135–39. http://dx.doi.org/10.31392/npu-nc.series15.2020.5(125).27.

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The article analyzes the methods of calculating the intensity of aerobic health-improving loads and presents own solution the problem. The effective use of aerobic exercises is based on the formula calculation of the parameters of physical activity corresponding to the individual characteristics of the practitioners, among which one of the most important is intensity. However, the practical application of the proposed formulas indicates that they do not always adequately take into account the most important, in this case, age characteristics and the functional state of the cardiovascular

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Chabot, Denis, Max Bayer, and André de Roos. "Instantaneous heart rates and other techniques introducing errors in the calculation of heart rate." Canadian Journal of Zoology 69, no. 4 (1991): 1117–20. http://dx.doi.org/10.1139/z91-156.

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Data on heart rate can be analyzed in terms of beats per unit of time (heart rate) or its reciprocal, time per beat (interbeat interval). We show that counting beats (including fractions), averaging interbeat intervals, and measuring the time for a fixed number of beats are correct techniques to measure heart activity within observation periods. QRS counts are less precise, but not systematically biased. Conversely, averaging instantaneous heart rates always overestimates true heart rate. Arithmetic means across trials of equal duration are correct only when heart activity for each trial is ex

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Zhang, Lu, Mei-Jia Huang, and Hui-Jin Wang. "A Novel Technique for Fetal Heart Rate Estimation Based on Ensemble Learning." Modern Applied Science 13, no. 10 (2019): 137. http://dx.doi.org/10.5539/mas.v13n10p137.

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The autocorrelation algorithm is the most commonly used method for extracting fetal heart rate from ultrasound Doppler fetal monitors. The traditional autocorrelation algorithm can not always extract the detection cycle accurately. During the calculation process, the heartbeat cycle may not be recognized, or the cycle may be doubled or halved recognized. Combining the characteristics of envelope curve with average magnitude difference function curve, this paper designs a set of extreme point search scheme and a fetal heart cycle recognition model based on ensemble learning to assist in screeni

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Dissertationen zum Thema "Heart rate calculation"

Håkansson, Dennis, and Johan Lövberg. "Development of algorithm for a mobile-based estimation of heart rate." Thesis, Malmö universitet, Fakulteten för teknik och samhälle (TS), 2021. http://urn.kb.se/resolve?urn=urn:nbn:se:mau:diva-43561.

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To perform a physical performance test is a good way to keep track of one’s health and can be beneficial to find evidence of deviations in the body. This thesis focuses on the development of a mobile-based heart rate algorithm that can be used with the Queens College Step Test, on the behalf of Mobistudy. Mobistudy wants to include such a test in their mobile application which aims to become a tool for researchers to use to gather data. The algorithm uses the mobile device’s camera to collect data from the user’s finger and uses that data to calculate the heart rate. The algorithm was first te

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Harris, J. B. "Calculation of convective heat transfer rates in geometries relating to nuclear reactor safety research." Thesis, University of Exeter, 1987. http://ethos.bl.uk/OrderDetails.do?uin=uk.bl.ethos.377312.

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Andrews, Nathan Christopher Ivanov Kostadin N. "Primary calculation of the linear heat rate generation of a BWR pin in the ATR B-11 position." [University Park, Pa.] : Pennsylvania State University, 2010. http://honors.libraries.psu.edu/theses/approved/WorldWideIndex/EHT-238/index.html.

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Tsai, Kun-Hsi, and 蔡昆熹. "TSA Algorithm for Precise Pulse Rate Calculation From Heart Sound." Thesis, 2015. http://ndltd.ncl.edu.tw/handle/h89bwk.

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博士<br>國立交通大學<br>生物科技學系<br>103<br>Pulse rate measurement is important for clinicians to access patient treatment as well as evaluate patient status. However, in many emergency situations, oxygen concentration was obtained by pulse oximeters and transformed into pulse rate, which is very unstable and can be influenced by the injured limb or nails decoration (nail polish, painting). When patients are experiencing critical situations such as pulseless electronic activity (PEA), it can lead to misjudgment and administered inappropriate first aid measures or lengthen the judgment time. In this study

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Bücher zum Thema "Heart rate calculation"

Kamenskaya, Valentina, and Leonid Tomanov. The fractal-chaotic properties of cognitive processes: age. INFRA-M Academic Publishing LLC., 2020. http://dx.doi.org/10.12737/1053569.

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In the monograph the literature information about the nature of stochastic processes and their participation in the work of the brain and human behavior. Established that the real cognitive processes and mental functions associated with the procedural side of external events and the stochastic properties of the internal dynamics of brain systems in the form of fluctuations of their parameters, including cardiac rhythm generation and sensorimotor reactions. Experimentally proved that the dynamics of the measured physiological processes is in the range from chaotic regime to a weakly determinist

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M, Yos Jerrold, Thompson Richard A, and Langley Research Center, eds. A Review of reaction rates and thermodynamic and transport properties for the 11-species air model for chemical and thermal nonequilibrium calculations to 30000K. National Aeronautics and Space Administration, Langley Research Center, 1989.

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Harris, John Benedict. Calculation of convective heat transfer rates in geometries relating to nuclear reactor safety research. 1987.

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Plebani, Mario, Monica Maria Mion, and Martina Zaninotto. Biomarkers of renal and hepatic failure. Oxford University Press, 2015. http://dx.doi.org/10.1093/med/9780199687039.003.0039.

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In the last few years, major advances have been achieved in the understanding of the molecular and pathophysiological mechanisms which underlie the complex interactions between the heart and the kidney, as well as between the heart and the liver. According to these new insights, new biomarkers have been proposed for better evaluating and monitoring patients affected by cardiovascular diseases. In addition, some biomarkers should be used as risk factors and for an early identification and treatment of these severe diseases. This chapter reviews the most important biomarkers for evaluating the ‘

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Karatasakis, G., and G. D. Athanassopoulos. Cardiomyopathies. Oxford University Press, 2011. http://dx.doi.org/10.1093/med/9780199599639.003.0019.

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Echocardiography is a key diagnostic method in the management of patients with cardiomyopathies.The main echocardiographic findings of hypertrophic cardiomyopathy are asymmetric hypertrophy of the septum, increased echogenicity of the myocardium, systolic anterior motion, turbulent left ventricular (LV) outflow tract blood flow, intracavitary gradient of dynamic nature, mid-systolic closure of the aortic valve and mitral regurgitation. The degree of hypertrophy and the magnitude of the obstruction have prognostic meaning. Echocardiography plays a fundamental role not only in diagnostic process

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Buchteile zum Thema "Heart rate calculation"

Koley, Tapas Kumar. "Calculation of Heart Rate." In Rapid Review of ECG. Springer Nature Singapore, 2024. http://dx.doi.org/10.1007/978-981-99-9116-7_5.

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Nagy, P., and Á. Jobbágy. "Heart Rate Variability Calculation Using Heart Periods Measured Between Consecutive Ponset Points." In 8th European Medical and Biological Engineering Conference. Springer International Publishing, 2020. http://dx.doi.org/10.1007/978-3-030-64610-3_69.

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Hamzaoui, El-Mehdi. "Robust Blind Source Separation of Maternal and Fetal ECG Signals—Application to Instantaneous Heart Rate Calculation." In Lecture Notes in Networks and Systems. Springer Singapore, 2022. http://dx.doi.org/10.1007/978-981-16-8512-5_20.

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Irianto, Bambang Guruh, Anita Miftahul Maghfiroh, M. Ikhsan Firmansyah, Abd Kholiq, Syevana Dita Musvika, and Yuni Kusmiyati. "Development of a Baby Incubator with a Vital Sign Monitoring Tool Based on Pan-Tompkins Method for Heart Rate Calculation." In Proceedings of the 4th International Conference on Electronics, Biomedical Engineering, and Health Informatics. Springer Nature Singapore, 2024. http://dx.doi.org/10.1007/978-981-97-1463-6_42.

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O'Connell, Dennis G., Janelle K. O'Connell, and Martha R. Hinman. "Calculating Target Heart Rates." In Special Tests of the Cardiopulmonary, Vascular, and Gastrointestinal Systems. CRC Press, 2024. http://dx.doi.org/10.1201/9781003526506-102.

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Teske, Sven. "Transition of the Energy Industry to (Net)-Zero Emissions." In Achieving the Paris Climate Agreement Goals. Springer International Publishing, 2022. http://dx.doi.org/10.1007/978-3-030-99177-7_10.

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AbstractThe status quo in the global oil, gas, and coal industries in terms of their economic value, geographic distribution, and company structures is given. The current fossil fuel production volumes and decline rates required under 1.5 °C-compatible pathways for coal, oil, and natural gas are discussed. The assumptions made when calculating scope 1 and 2 emissions and current and future energy intensities are defined. The role of power and gas utilities under the OECM 1.5 °C scenario is discussed, together with the projected trajectories for renewable power- and heat-generating plants and t

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Yang, Dong, Yingli Liu, and Tao Du. "Network Flow Modelling for Optimizing Fire Smoke Control in Complex Urban Traffic Link Tunnels: Incorporating Heat Loss and Gas Species Generation Rate Calculation into Models." In The Proceedings of 11th Asia-Oceania Symposium on Fire Science and Technology. Springer Singapore, 2019. http://dx.doi.org/10.1007/978-981-32-9139-3_72.

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"Modeling and Use of Correlations in Heat Treatment." In Principles of the Heat Treatment of Plain Carbon and Low Alloy Steels. ASM International, 1996. http://dx.doi.org/10.31399/asm.tb.phtpclas.t64560307.

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Abstract This chapter discusses the processes involved in the calculation of cooling and heating curves and the estimation of austenitizing time. The chapter discusses the transformation of austenite, describing nucleation and growth rates. The chapter examines the calculation of the amount of martensite and retained austenite, and hardenability calculations. It reviews models for tempering of steels, estimation of mechanical properties, the hardness of martensite, and factors to consider to be able to calculate the residual stresses. It provides information on Kirkaldy’s model used for calcul

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Grandi, Fabio, Margherita Peruzzini, Roberto Raffaeli, and Marcello Pellicciari. "Transdisciplinary Assessment Matrix to Design Human-Machine Interaction." In Advances in Transdisciplinary Engineering. IOS Press, 2020. http://dx.doi.org/10.3233/atde200076.

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Successful interaction with complex systems is based on the system ability to satisfy the user needs during interaction tasks, mainly related to performances, physical comfort, usability, accessibility, visibility, and mental workload. However, the “real” user experience (UX) is hidden and usually difficult to detect. The paper proposes a Transdisciplinary Assessment Matrix (TAS) based on collection of physiological, postural and visibility data during interaction analysis, and calculation of a consolidated User eXperience Index (UXI). Physiological data are based on heart rate parameters and

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Jones, H. R. N. "Heat exchange between black surfaces." In Radiation Heat Transfer. Oxford University Press, 2000. http://dx.doi.org/10.1093/hesc/9780198564553.003.0003.

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This chapter deals with the radiation exchange between black surfaces, in which case the only radiation leaving a given surface is thermal emission. It assumes that the medium between the surfaces neither emits nor absorbs radiation as all incident radiation on a black surface is absorbed and none is reflected. It also includes radiative transfer problems that involve surfaces that are built around a consideration of the radiative fluxes incident and leave a given surface. The chapter discusses the general approach of analysing a configuration of terms of transfer between various pairs of surf

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Konferenzberichte zum Thema "Heart rate calculation"

Kalinkov, Kalin, Valentina Markova, and Todor Ganchev. "Heart Rate Variability calculation methods." In 2020 International Conference on Biomedical Innovations and Applications (BIA). IEEE, 2020. http://dx.doi.org/10.1109/bia50171.2020.9244285.

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Paliwal, Sukriti, C. Vasantha Lakshmi, and C. Patvardhan. "Real time heart rate detection and heart rate variability calculation." In 2016 IEEE Region 10 Humanitarian Technology Conference (R10-HTC). IEEE, 2016. http://dx.doi.org/10.1109/r10-htc.2016.7906818.

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Risk, M. R., D. F. Slezak, P. Turjanski, A. Panelli, R. A. M. Taborda, and G. Marshall. "Time series calculation of heart rate using multi rate FIR filters." In 2007 34th Annual Computers in Cardiology Conference. IEEE, 2007. http://dx.doi.org/10.1109/cic.2007.4745542.

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Imtiaz, Mohammad Shamim, Rajeena Shrestha, Talwinder Dhillon, et al. "Cardiac cycle and heart rate calculation based on seismocardiogram." In 2013 26th IEEE Canadian Conference on Electrical and Computer Engineering (CCECE). IEEE, 2013. http://dx.doi.org/10.1109/ccece.2013.6567772.

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Temelkov, G., and M. Gusev. "Leveraging Dataframe-Based Operations for Calculation of Heart Rate Variability." In 2024 47th MIPRO ICT and Electronics Convention (MIPRO). IEEE, 2024. http://dx.doi.org/10.1109/mipro60963.2024.10569230.

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A S, Kaviya Dharshini, and Jeeva J B. "Comparison of PPG signals with i-PPG signals for the calculation of heart rate and heart rate variability." In Women in Optics and Photonics in India 2023, edited by Shanti Bhattacharya, Sujatha Narayanan Unni, Anita Mahadevan-Jansen, and Asima Pradhan. SPIE, 2024. http://dx.doi.org/10.1117/12.3030483.

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Meddah, Karim, Malika Kedir-Talha, and Hadjer Zairi. "FPGA-based system for heart rate calculation based on PPG signal." In 2017 5th International Conference on Electrical Engineering - Boumerdes (ICEE-B). IEEE, 2017. http://dx.doi.org/10.1109/icee-b.2017.8192157.

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Liu, Lei, Qun-Chao Chen, and Liang-Hung Wang. "Fast algorithm for heart rate calculation based on an Android application." In 2017 IEEE International Conference on Consumer Electronics - Taiwan (ICCE-TW). IEEE, 2017. http://dx.doi.org/10.1109/icce-china.2017.7991041.

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Ayub, Shahanaz, Gaurav Gupta, and Yogender Kumar. "Heart Rate Calculation and Detection of T-Wave Alternans by Correlation Method." In 2016 8th International Conference on Computational Intelligence and Communication Networks (CICN). IEEE, 2016. http://dx.doi.org/10.1109/cicn.2016.45.

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Santos, Andres, Maria J. Ledesma-Carbayo, Norberto Malpica, et al. "Accuracy of heart strain rate calculation derived from Doppler tissue velocity data." In Medical Imaging 2001, edited by Michael F. Insana and K. Kirk Shung. SPIE, 2001. http://dx.doi.org/10.1117/12.428235.

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Berichte der Organisationen zum Thema "Heart rate calculation"

Plodinec, M. J. Method of calculation of heat generation rates for DWPF glass. Office of Scientific and Technical Information (OSTI), 1992. http://dx.doi.org/10.2172/7025424.

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Plodinec, M. J. Method of calculation of heat generation rates for DWPF glass. Office of Scientific and Technical Information (OSTI), 1993. http://dx.doi.org/10.2172/6593562.

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Richard G. Ambrosek, Gray S. Chang, and Debbie J. Utterbeck. Advanced Fuel Cycle Initiative - Projected Linear Heat Generation Rate and Burnup Calculations. Office of Scientific and Technical Information (OSTI), 2005. http://dx.doi.org/10.2172/911238.

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Plodinec, M. J. Method of calculation of heat generation rates for DWPF glass. Revision 2. Office of Scientific and Technical Information (OSTI), 1993. http://dx.doi.org/10.2172/10151234.

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Plodinec, M. J. Method of calculation of heat generation rates for DWPF glass. Revision 1. Office of Scientific and Technical Information (OSTI), 1992. http://dx.doi.org/10.2172/10190215.

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Brosh, Arieh, David Robertshaw, Yoav Aharoni, Zvi Holzer, Mario Gutman, and Amichai Arieli. Estimation of Energy Expenditure of Free Living and Growing Domesticated Ruminants by Heart Rate Measurement. United States Department of Agriculture, 2002. http://dx.doi.org/10.32747/2002.7580685.bard.

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Research objectives were: 1) To study the effect of diet energy density, level of exercise, thermal conditions and reproductive state on cardiovascular function as it relates to oxygen (O2) mobilization. 2) To validate the use of heart rate (HR) to predict energy expenditure (EE) of ruminants, by measuring and calculating the energy balance components at different productive and reproductive states. 3) To validate the use of HR to identify changes in the metabolizable energy (ME) and ME intake (MEI) of grazing ruminants. Background: The development of an effective method for the measurement of

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Xie, Gao, and Olsen. PR-179-13601-R01 CFD Analysis of the Heat Transfer Characteristics and the Effect of Thermowells. Pipeline Research Council International, Inc. (PRCI), 2013. http://dx.doi.org/10.55274/r0010818.

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Thermowells are widely utilized for temperature measurement in metering stations on natural gas pipelines. The use of thermowells induces errors in the measurements of gas temperature due to the heat transfer processes involved in the thermowell installations, which results in errors in the flow rate calculations. In order to study the temperature measurement accuracy of using thermowells, a three-dimensional computational fluid dynamics study is performed and an in-depth investigation of the effect of the multiple variables on gas temperature measurement is carried out. The parameters under i

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Dumas, Nathalie, Flourentzou Flourentzos, Julien BOUTILLIER, Bernard Paule, and Tristan de KERCHOVE d’EXAERDE. Integration of smart building technologies costs and CO2 emissions within the framework of the new EPIQR-web application. Department of the Built Environment, 2023. http://dx.doi.org/10.54337/aau541616188.

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The EPIQR method was developed between 1996 and 1998 within the framework of the European research programme JOULE II and with the support of the Swiss Federal Office for Education and Science. In its first versions, the EPIQR software and EPIQR+ that succeeded it, were desktop tools, allowing a precise diagnosis of the state of deterioration of an existing building and the elaboration of renovation scenarios including the different costs of the necessary works. However, deep refurbishment rate is still low. Climatic emergency state declared by most of the Swiss Cantons makes it necessary to s

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