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Artigos de revistas sobre o tema "Metabolic power"

Autor: Grafiati

Publicado: 4 de junho de 2021

Última modificação: 10 de março de 2023

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1

Beneke, Ralph, and Max Niemeyer. "Instant Metabolic Power." Medicine & Science in Sports & Exercise 49, no. 5S (2017): 176. http://dx.doi.org/10.1249/01.mss.0000517312.23776.7f.

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Uehara, Minoru. "Metabolic Computing." International Journal of Distributed Systems and Technologies 3, no. 3 (2012): 27–39. http://dx.doi.org/10.4018/jdst.2012070103.

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In this paper, the author proposes a metabolic computing model for a truly renewable system with high fault tolerance and sustainability and a realistic architecture for the model using four kinds of elements: metaboloids, slots, a power queue, and recycle unit. Metaboloids, which are processing units, are arranged in a mesh in the power queue. However, as the metabolism may change the network, to manage running tasks, metaboloids must achieve homeostasis, for which two new algorithms, bubbling and drifting, are presented. For simple metabolism, the specification of the architecture does not c

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Kempton, Tom, Anita Claire Sirotic, Ermanno Rampinini, and Aaron James Coutts. "Metabolic Power Demands of Rugby League Match Play." International Journal of Sports Physiology and Performance 10, no. 1 (2015): 23–28. http://dx.doi.org/10.1123/ijspp.2013-0540.

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Purpose:To describe the metabolic demands of rugby league match play for positional groups and compare match distances obtained from high-speed-running classifications with those derived from high metabolic power.Methods:Global positioning system (GPS) data were collected from 25 players from a team competing in the National Rugby League competition over 39 matches. Players were classified into positional groups (adjustables, outside backs, hit-up forwards, and wide-running forwards). The GPS devices provided instantaneous raw velocity data at 5 Hz, which were exported to a customized spreadsh

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Leong, Chee-Hoi, Steven J. Elmer, and James C. Martin. "Noncircular Chainrings Do Not Influence Physiological Responses During Submaximal Cycling." International Journal of Sports Physiology and Performance 17, no. 3 (2022): 407–14. http://dx.doi.org/10.1123/ijspp.2019-0778.

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Pedal speed and mechanical power output account for 99% of metabolic cost during submaximal cycling. Noncircular chainrings can alter instantaneous crank angular velocity and thereby pedal speed. Reducing pedal speed during the portion of the cycle in which most power is produced could reduce metabolic cost and increase metabolic efficiency. Purpose: To determine the separate contributions of pedal speed and chainring shape/eccentricity to the metabolic cost of producing power and evaluate joint-specific kinematics and kinetics during submaximal cycling across 3 chainring eccentricities (CON =

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Gray, A., D. Jenkins, and M. Andrews. "Energy cost and metabolic power of Australian football." Journal of Science and Medicine in Sport 16 (December 2013): e93. http://dx.doi.org/10.1016/j.jsams.2013.10.223.

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OSGNACH, CRISTIAN, STEFANO POSER, RICCARDO BERNARDINI, ROBERTO RINALDO, and PIETRO ENRICO DI PRAMPERO. "Energy Cost and Metabolic Power in Elite Soccer." Medicine & Science in Sports & Exercise 42, no. 1 (2010): 170–78. http://dx.doi.org/10.1249/mss.0b013e3181ae5cfd.

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Mckechnie, Andrew E., and David L. Swanson. "Sources and significance of variation in basal, summit and maximal metabolic rates in birds." Current Zoology 56, no. 6 (2010): 741–58. http://dx.doi.org/10.1093/czoolo/56.6.741.

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Abstract The rates at which birds use energy may have profound effects on fitness, thereby influencing physiology, behavior, ecology and evolution. Comparisons of standardized metabolic rates (e.g., lower and upper limits of metabolic power output) present a method for elucidating the effects of ecological and evolutionary factors on the interface between physiology and life history in birds. In this paper we review variation in avian metabolic rates [basal metabolic rate (BMR; minimum normothermic metabolic rate), summit metabolic rate (Msum; maximal thermoregulatory metabolic rate), and maxi

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Baumgartner, Tobias, Steffen Held, Stefanie Klatt, and Lars Donath. "Limitations of Foot-Worn Sensors for Assessing Running Power." Sensors 21, no. 15 (2021): 4952. http://dx.doi.org/10.3390/s21154952.

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Running power as measured by foot-worn sensors is considered to be associated with the metabolic cost of running. In this study, we show that running economy needs to be taken into account when deriving metabolic cost from accelerometer data. We administered an experiment in which 32 experienced participants (age = 28 ± 7 years, weekly running distance = 51 ± 24 km) ran at a constant speed with modified spatiotemporal gait characteristics (stride length, ground contact time, use of arms). We recorded both their metabolic costs of transportation, as well as running power, as measured by a Stryd

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Dart, Anna. "Metabolic transitions." Nature Reviews Cancer 22, no. 2 (2021): 68–69. http://dx.doi.org/10.1038/s41568-021-00438-x.

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Coppi, Mason J., Scott Murr, Eric Sobolewski, et al. "Normalizing Running Power By Muscle CSA Increases Variance Explained Compared To Metabolic Power." Medicine & Science in Sports & Exercise 52, no. 7S (2020): 723–24. http://dx.doi.org/10.1249/01.mss.0000683048.07407.93.

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Hoppe, Matthias Wilhelm, Christian Baumgart, Mirko Slomka, Ted Polglaze, and Jürgen Freiwald. "Variability of Metabolic Power Data in Elite Soccer Players During Pre-Season Matches." Journal of Human Kinetics 58, no. 1 (2017): 233–45. http://dx.doi.org/10.1515/hukin-2017-0083.

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Abstract This study aimed to determine the within-subject variability of GPS-derived metabolic power data in elite soccer players across several pre-season matches and compare the variability of high metabolic power, velocity, acceleration and deceleration running. Additionally, differences in metabolic power data among playing positions and relationships with various physical abilities were also investigated. Metabolic power data from 12 outfield starting players competing in the German Bundesliga were collected during five pre-season matches using GPS-technology (10 Hz). The players were als

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Rayner, J. M. "Estimating power curves of flying vertebrates." Journal of Experimental Biology 202, no. 23 (1999): 3449–61. http://dx.doi.org/10.1242/jeb.202.23.3449.

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The power required for flight in any flying animal is a function of flight speed. The power curve that describes this function has become an icon of studies of flight mechanics and physiology because it encapsulates the accessible animal's flight performance. The mechanical or aerodynamic power curve, describing the increase in kinetic energy of the air due to the passage of the bird, is necessarily U-shaped, for aerodynamic reasons, and can be estimated adequately by lifting-line theory. Predictions from this and related models agree well with measured mechanical work in flight and with resul

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Lund Ohlsson, Marie, Jonas Danvind, and L. Joakim Holmberg. "Estimation of muscular metabolic power in two different cross-country sit-skiing sledges using inverse-dynamics simulation." Journal of Rehabilitation and Assistive Technologies Engineering 9 (January 2022): 205566832211315. http://dx.doi.org/10.1177/20556683221131557.

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The aim of this study was to estimate and compare the muscular metabolic power produced in the human body using musculoskeletal inverse-dynamics during cross-country sit-skiing. Two sitting positions were adapted for athletes with reduced trunk and hip muscle control, knee low with frontal trunk support (KL-fix), and knee high (KH). Five female national class able-bodied cross-country skiers performed submaximal and maximal exercise in both sitting positions, while recording 3-D kinematics, pole forces, electromyography and respiratory variables. Simulations were performed from these experimen

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Grabowski, Alena M., and Rodger Kram. "Effects of Velocity and Weight Support on Ground Reaction Forces and Metabolic Power during Running." Journal of Applied Biomechanics 24, no. 3 (2008): 288–97. http://dx.doi.org/10.1123/jab.24.3.288.

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The biomechanical and metabolic demands of human running are distinctly affected by velocity and body weight. As runners increase velocity, ground reaction forces (GRF) increase, which may increase the risk of an overuse injury, and more metabolic power is required to produce greater rates of muscular force generation. Running with weight support attenuates GRFs, but demands less metabolic power than normal weight running. We used a recently developed device (G-trainer) that uses positive air pressure around the lower body to support body weight during treadmill running. Our scientific goal wa

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Straw, Asher H., Jesse H. Frank, Bryant T. Pham, Todd M. Carver, and Wouter Hoogkamer. "Measuring Mechanical and Metabolic Power during Uphill Treadmill Cycling." Medicine & Science in Sports & Exercise 49, no. 5S (2017): 376–77. http://dx.doi.org/10.1249/01.mss.0000517913.61597.6e.

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di Prampero, Pietro, and Cristian Osgnach. "Metabolic Power in Team Sports - Part 1: An Update." International Journal of Sports Medicine 39, no. 08 (2018): 581–87. http://dx.doi.org/10.1055/a-0592-7660.

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AbstractTeam sports are characterised by frequent episodes of accelerated/decelerated running. The corresponding energy cost can be estimated on the basis of the biomechanical equivalence between accelerated/decelerated running on flat terrain and constant speed running uphill/downhill. This approach allows one to: (i) estimate the time course of the instantaneous metabolic power requirement of any given player and (ii) infer therefrom the overall energy expenditure of any given time window of a soccer drill or match. In the original approach, walking and running were aggregated and energetica

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Buchheit, M., C. Manouvrier, J. Cassirame, and J. B. Morin. "Monitoring Locomotor Load in Soccer: Is Metabolic Power, Powerful?" International Journal of Sports Medicine 36, no. 14 (2015): 1149–55. http://dx.doi.org/10.1055/s-0035-1555927.

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Voit, Eberhard O. "Modelling metabolic networks using power-laws and S-systems." Essays in Biochemistry 45 (September 30, 2008): 29–40. http://dx.doi.org/10.1042/bse0450029.

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Mathematical modelling has great potential in biochemical network analysis because, in contrast with the unaided human mind, mathematics has no problems keeping track of hundreds of interacting variables that affect each other in intricate ways. The scalability of mathematical models, together with their ability to capture all imaginable non-linear responses, allows us to explore the dynamics of complicated pathway systems, to study what happens if a metabolite, gene or enzyme is altered, and to optimize biochemical systems, for instance toward the goal of increased yield of some desired organ

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Marin-Sanguino, Alberto, Nestor V. Torres, Eduardo R. Mendoza, and Dieter Oesterhelt. "Metabolic Engineering with power-law and linear-logarithmic systems." Mathematical Biosciences 218, no. 1 (2009): 50–58. http://dx.doi.org/10.1016/j.mbs.2008.12.010.

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Blaise, Benjamin J., Gonçalo Correia, Adrienne Tin, et al. "Power Analysis and Sample Size Determination in Metabolic Phenotyping." Analytical Chemistry 88, no. 10 (2016): 5179–88. http://dx.doi.org/10.1021/acs.analchem.6b00188.

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Gnaiger, E. "Physiological calorimetry: heat flux, metabolic flux, entropy and power." Thermochimica Acta 151 (September 1989): 23–34. http://dx.doi.org/10.1016/0040-6031(89)85334-1.

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Gidley, Lex, and James C. Martin. "Biomechanical Determinants of Metabolic Cost of Submaximal Cycling Power." Medicine & Science in Sports & Exercise 38, Supplement (2006): S392—S393. http://dx.doi.org/10.1249/00005768-200605001-02533.

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Minetti, Alberto E., Federico Formenti, and Luca P. Ardigò. "Himalayan porter's specialization: metabolic power, economy, efficiency and skill." Proceedings of the Royal Society B: Biological Sciences 273, no. 1602 (2006): 2791–97. http://dx.doi.org/10.1098/rspb.2006.3653.

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Carrying heavy loads in the Himalayan region is a real challenge. Porters face extreme ranges in terrain condition, path steepness, altitude hypoxia and climate for 6–8 h a day, many months a year, since they were boys. It has been previously shown that, when carrying loads on level terrain, porters' metabolic economy is higher than in Caucasians but the reasons are still unknown. We monitored Nepalese porters both during 90 km trekking in Khumbu Valley and at two different altitudes (3490 and 5050 m above sea-level), where they were compared to Caucasian mountaineers during (22%) gradient wal

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McDaniel, John, Andrew Subudhi, and James C. Martin. "Torso Stabilization Reduces the Metabolic Cost of Producing Cycling Power." Canadian Journal of Applied Physiology 30, no. 4 (2005): 433–41. http://dx.doi.org/10.1139/h05-132.

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Many researchers have used cycling exercise to evaluate muscle metabolism. Inherent in such studies is an assumption that changes in whole-body respiration are due solely to respiration at the working muscle. Some researchers, however, have speculated that the metabolic cost of torso stabilization may contribute to the metabolic cost of cycling. Therefore, our primary purpose was to determine whether a torso stabilization device would reduce the metabolic cost of producing cycling power. Our secondary purpose was to determine the validity of the ergometer used in this study. Nine male cyclists

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Evans, David O. "Metabolic Thermal Compensation by Rainbow Trout: Effects on Standard Metabolic Rate and Potential Usable Power." Transactions of the American Fisheries Society 119, no. 4 (1990): 585–600. http://dx.doi.org/10.1577/1548-8659(1990)119<0585:mtcbrt>2.3.co;2.

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McDaniel, J., J. L. Durstine, G. A. Hand, and J. C. Martin. "Determinants of metabolic cost during submaximal cycling." Journal of Applied Physiology 93, no. 3 (2002): 823–28. http://dx.doi.org/10.1152/japplphysiol.00982.2001.

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The metabolic cost of producing submaximal cycling power has been reported to vary with pedaling rate. Pedaling rate, however, governs two physiological phenomena known to influence metabolic cost and efficiency: muscle shortening velocity and the frequency of muscle activation and relaxation. The purpose of this investigation was to determine the relative influence of those two phenomena on metabolic cost during submaximal cycling. Nine trained male cyclists performed submaximal cycling at power outputs intended to elicit 30, 60, and 90% of their individual lactate threshold at four pedaling

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Glazier, Douglas S. "Effects of metabolic level on the body size scaling of metabolic rate in birds and mammals." Proceedings of the Royal Society B: Biological Sciences 275, no. 1641 (2008): 1405–10. http://dx.doi.org/10.1098/rspb.2008.0118.

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Metabolic rate is traditionally assumed to scale with body mass to the 3/4-power, but significant deviations from the ‘3/4-power law’ have been observed for several different taxa of animals and plants, and for different physiological states. The recently proposed ‘metabolic-level boundaries hypothesis’ represents one of the attempts to explain this variation. It predicts that the power (log–log slope) of metabolic scaling relationships should vary between 2/3 and 1, in a systematic way with metabolic level. Here, this hypothesis is tested using data from birds and mammals. As predicted, in bo

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Osgnach, Cristian, and Pietro di Prampero. "Metabolic Power in Team Sports - Part 2: Aerobic and Anaerobic Energy Yields." International Journal of Sports Medicine 39, no. 08 (2018): 588–95. http://dx.doi.org/10.1055/a-0592-7219.

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AbstractA previous approach to estimate the time course of instantaneous metabolic power and O2 consumption in team sports has been updated to assess also energy expenditure against air resistance and to identify walking and running separately. Whole match energy expenditure turned out ≈14% smaller than previously obtained, the fraction against the air resistance amounting to ≈2% of the total. Estimated net O2 consumption and overall energy expenditure are fairly close to those measured by means of a portable metabolic cart; the average difference, after a 45 min exercise period of variable in

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Darbellay, Jonas, César Marius Philippe Meylan, and Davide Malatesta. "Monitoring Matches and Small-sided Games in Elite Young Soccer Players." International Journal of Sports Medicine 41, no. 12 (2020): 832–38. http://dx.doi.org/10.1055/a-1165-1916.

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AbstractThe aim of this study was to compare the distances at various intensity in matches and small-sided games in elite-young soccer players using the metabolic power approach and running speed methods through fixed and individual speed zones. The second aim was to investigate the difference in high intensity external workload (% of total distances covered > 16 km/h or > 20 W/kg) between matches and small-sided games. Global positioning system data from 14 elite-youth players were analyzed during 13 matches and two types of small sided-games. Five intensity zones were used to compare t

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Ward, S., U. Möller, J. M. V. Rayner, et al. "Metabolic power, mechanical power and efficiency during wind tunnel flight by the European starlingSturnus vulgaris." Journal of Experimental Biology 204, no. 19 (2001): 3311–22. http://dx.doi.org/10.1242/jeb.204.19.3311.

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SUMMARYWe trained two starlings (Sturnus vulgaris) to fly in a wind tunnel whilst wearing respirometry masks. We measured the metabolic power (Pmet) from the rates of oxygen consumption and carbon dioxide production and calculated the mechanical power (Pmech) from two aerodynamic models using wingbeat kinematics measured by high-speed cinematography. Pmet increased from 10.4 to 14.9 W as flight speed was increased from 6.3 to 14.4 m s–1 and was compatible with the U-shaped power/speed curve predicted by the aerodynamic models. Flight muscle efficiency varied between 0.13 and 0.23 depending upo

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Ribeiro, João, Argyris G. Toubekis, Pedro Figueiredo, et al. "Biophysical Determinants of Front-Crawl Swimming at Moderate and Severe Intensities." International Journal of Sports Physiology and Performance 12, no. 2 (2017): 241–46. http://dx.doi.org/10.1123/ijspp.2015-0766.

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Purpose:To conduct a biophysical analysis of the factors associated with front-crawl performance at moderate and severe swimming intensities, represented by anaerobic-threshold (vAnT) and maximal-oxygen-uptake (vV̇O2max) velocities.Methods:Ten high-level swimmers performed 2 intermittent incremental tests of 7 × 200 and 12 × 25 m (through a system of underwater push-off pads) to assess vAnT, and vV̇O2max, and power output. The 1st protocol was videotaped (3D reconstruction) for kinematic analysis to assess stroke frequency (SF), stroke length (SL), propelling efficiency (ηP), and index of coor

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Marsh, Gregory D., Donald H. Paterson, R. Terry Thompson, Po Kee Cheung, J. Malcolm O. Arnold, and Joy MacDermid. "Metabolic Adaptations to Endurance Training in Older Individuals." Canadian Journal of Applied Physiology 18, no. 4 (1993): 366–78. http://dx.doi.org/10.1139/h93-031.

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The purpose of this study was to describe the effects of moderate intensity exercise training on the muscle energy utilization, blood flow, and exercise performance of four sedentary older individuals (58 ± 4 yrs). Subjects trained the dominant forearm each day for 12 weeks. The nondominant arm was not trained and served as a within-subject control. 31P nuclear magnetic resonance spectroscopy (31P NMRS) was used to identify the power output in watts (W) at the onset, or threshold, of intracellular acidosis (IT) in the exercising muscle during progressive exercise tests to fatigue. After 6 week

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Humpton, Timothy, and Karen H. Vousden. "Taking up the reins of power: metabolic functions of p53." Journal of Molecular Cell Biology 11, no. 7 (2019): 610–14. http://dx.doi.org/10.1093/jmcb/mjz065.

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Watt, Ward B. "Power and Efficiency as Indexes of Fitness in Metabolic Organization." American Naturalist 127, no. 5 (1986): 629–53. http://dx.doi.org/10.1086/284510.

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Carter, H., and J. Dekerle. "Metabolic stress at cycling critical power vs. running critical speed." Science & Sports 29, no. 1 (2014): 51–54. http://dx.doi.org/10.1016/j.scispo.2013.07.014.

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Laughlin, Maren R., K. C. Kent Lloyd, Gary W. Cline, and David H. Wasserman. "NIH Mouse Metabolic Phenotyping Centers: the power of centralized phenotyping." Mammalian Genome 23, no. 9-10 (2012): 623–31. http://dx.doi.org/10.1007/s00335-012-9425-z.

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Hrassnigg, Norbert, and Karl Crailsheim. "Stoffwechselraten und metabolische Leistung von Honigbienen im Fesselflug in Abhängigkeit von Temperatur und Luftwiderstand (Hymenoptera: Apidae)." Entomologia Generalis 24, no. 1 (1999): 23–30. http://dx.doi.org/10.1127/entom.gen/24/1999/23.

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Morris, David Michael, and Rebecca Susan Shafer. "Comparison of Power Outputs During Time Trialing and Power Outputs Eliciting Metabolic Variables in Cycle Ergometry." International Journal of Sport Nutrition and Exercise Metabolism 20, no. 2 (2010): 115–21. http://dx.doi.org/10.1123/ijsnem.20.2.115.

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The authors sought to compare power output at blood lactate threshold, maximal lactate steady state, and pH threshold with the average power output during a simulated 20-km time trial assessed during cycle ergometry. Participants (N = 13) were trained male and female cyclists and triathletes, all permanent residents at moderate altitude (1,525–2,225 m). Testing was performed at 1,525 or 1,860 m altitude. Power outputs were determined during a simulated 20-km time trial (PTT), at blood pH threshold (PpHT), at maximal lactate steady state (PMLSS), and at blood lactate threshold determined by 2 m

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Lord, Cameron, Anthony J. Blazevich, Chris R. Abbiss, and Fadi Ma’ayah. "Reliability and Validity of Maximal Mean and Critical Speed and Metabolic Power in Australian Youth Soccer Players." Journal of Human Kinetics 73, no. 1 (2020): 93–102. http://dx.doi.org/10.2478/hukin-2019-0135.

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AbstractThe reliability and validity of maximal mean speed (MMS), maximal mean metabolic power (MMPmet), critical speed (CS) and critical metabolic power (CPmet) were examined throughout the 2016-2017 soccer National Youth League competitions. Global positioning system (GPS) data were collected from 20 sub-elite soccer players during a battery of maximal running tests and four home matches. A symmetric moving average algorithm was applied to the instantaneous velocity data using specific time windows (1, 5, 10, 60, 300 and 600 s) and peak values were identified. Additionally, CS and CP¬met val

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Vescovi, Jason D., and Devon H. Frayne. "Motion Characteristics of Division I College Field Hockey: Female Athletes in Motion (FAiM) Study." International Journal of Sports Physiology and Performance 10, no. 4 (2015): 476–81. http://dx.doi.org/10.1123/ijspp.2014-0324.

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Purpose:To examine locomotor demands and metabolic-power characteristics of National Collegiate Athletic Association (NCAA) field hockey matches.Methods:Using a cross-sectional design, global positioning system (GPS) technology tracked Division I field hockey players from 6 teams during 1 regular-season match (68 player observations). An ANOVA compared locomotor demands and metabolic-power characteristics among positions. Paired t tests compared dependent variables between halves.Results:Defenders played 5−6 min more than midfielders, whereas midfielders played 6−7 min more than forwards. Defe

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Huang, Ledeng, Ruishi Wang, Zhenhua Yang, and Longhan Xie. "Energy Harvesting Backpacks for Human Load Carriage: Modelling and Performance Evaluation." Electronics 9, no. 7 (2020): 1061. http://dx.doi.org/10.3390/electronics9071061.

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In recent years, there has been an increasing demand for portable power sources as people are required to carry more equipment for occupational, military, or recreational purposes. The energy harvesting backpack that moves relative to the human body, could capture kinetic energy from human walking and convert vertical oscillation into the rotational motion of the generators to generate electricity. In our previous work, a light-weight tube-like energy harvester (TL harvester) and a traditional frequency-tuneable backpack-based energy harvester (FT harvester) were proposed. In this paper, we di

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White, Craig R., Nicole F. Phillips, and Roger S. Seymour. "The scaling and temperature dependence of vertebrate metabolism." Biology Letters 2, no. 1 (2005): 125–27. http://dx.doi.org/10.1098/rsbl.2005.0378.

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Body size and temperature are primary determinants of metabolic rate, and the standard metabolic rate (SMR) of animals ranging in size from unicells to mammals has been thought to be proportional to body mass ( M ) raised to the power of three-quarters for over 40 years. However, recent evidence from rigorously selected datasets suggests that this is not the case for birds and mammals. To determine whether the influence of body mass on the metabolic rate of vertebrates is indeed universal, we compiled SMR measurements for 938 species spanning six orders of magnitude variation in mass. When nor

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Reche-Soto, Pedro, Donaldo Cardona-Nieto, Arturo Diaz-Suarez, et al. "Player Load and Metabolic Power Dynamics as Load Quantifiers in Soccer." Journal of Human Kinetics 69, no. 1 (2019): 259–69. http://dx.doi.org/10.2478/hukin-2018-0072.

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Abstract There has recently been an increase in quantification and objective analysis of soccer performance due to improvements in technology using load indexes such as Player Load (PL) and Metabolic Power (MP). The objectives of this study were: (1) to describe the performance of PL and MP in competition according to the specific role, match‐to‐ match variation, periods of play, game location and match status according to game periods, and (2) to analyze the relationship between both indexes. Twenty‐one national‐level soccer players were distributed in the following specific positional roles:

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Polglaze, Ted, and Matthias W. Hoppe. "Metabolic Power: A Step in the Right Direction for Team Sports." International Journal of Sports Physiology and Performance 14, no. 3 (2019): 407–11. http://dx.doi.org/10.1123/ijspp.2018-0661.

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Falkner, Bonita, and Julie Ingelfinger. "Understanding the Power of Perinatal Events and Metabolic Status in Childhood." Hypertension 63, no. 6 (2014): 1166–67. http://dx.doi.org/10.1161/hypertensionaha.114.03290.

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Polglaze, Ted, Brian Dawson, Alec Buttfield, and Peter Peeling. "Metabolic power and energy expenditure in an international men’s hockey tournament." Journal of Sports Sciences 36, no. 2 (2017): 140–48. http://dx.doi.org/10.1080/02640414.2017.1287933.

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Cummins, C., A. Gray, K. Shorter, M. Halaki, and R. Orr. "Energetic and Metabolic Power Demands of National Rugby League Match-Play." International Journal of Sports Medicine 37, no. 07 (2016): 552–58. http://dx.doi.org/10.1055/s-0042-101795.

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Hernández-Bermejo, Benito. "Renormalization group approach to power-law modeling of complex metabolic networks." Journal of Theoretical Biology 265, no. 3 (2010): 422–32. http://dx.doi.org/10.1016/j.jtbi.2010.04.024.

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Cummins, C., A. Gray, K. Shorter, M. Halaki, and Rh Orr. "Metabolic power and energetic costs of elite Rugby League match-play." Journal of Science and Medicine in Sport 19 (December 2015): e21-e22. http://dx.doi.org/10.1016/j.jsams.2015.12.429.

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Coutts, Aaron J., Thomas Kempton, Courtney Sullivan, Johann Bilsborough, Justin Cordy, and Ermanno Rampinini. "Metabolic power and energetic costs of professional Australian Football match-play." Journal of Science and Medicine in Sport 18, no. 2 (2015): 219–24. http://dx.doi.org/10.1016/j.jsams.2014.02.003.

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