Auswahl der wissenschaftlichen Literatur zum Thema „Human temperature“

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Zeitschriftenartikel zum Thema "Human temperature"

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Jariwala, Krishna B., und Prof Jaimeel Shah. „Survey of Detecting Heartbeats, Temperature and ECG of Human Body using IOT“. International Journal of Trend in Scientific Research and Development Volume-2, Issue-5 (31.08.2018): 2457–61. http://dx.doi.org/10.31142/ijtsrd17153.

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Nazarenko, V. I., V. G. Martirosova, I. M. Cherednichenko, N. S. Tikhonova und O. Y. Beseda. „Combined effect of lighting and high air temperature on human visual performance“. Ukrainian Journal of Occupational Health 2019, Nr. 2 (27.06.2019): 102–9. http://dx.doi.org/10.33573/ujoh2019.02.102.

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Aysa, Noor Hadi. „Elastic Properties of Undegradable Nanocomposites at Human Body Temperature Using as Prosthetics“. NeuroQuantology 18, Nr. 1 (30.01.2020): 32–36. http://dx.doi.org/10.14704/nq.2020.18.1.nq20104.

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Husain, Muhammad Dawood, Shenela Naqvi, Ozgur Atalay, Syed Talha Ali Hamdani und Richard Kennon. „Measuring Human Body Temperature through Temperature Sensing Fabric“. AATCC Journal of Research 3, Nr. 4 (01.07.2016): 1–12. http://dx.doi.org/10.14504/ajr.3.4.1.

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Kuzubasoglu, Burcu Arman, Ersin Sayar, Cedric Cochrane, Vladan Koncar und Senem Kursun Bahadir. „Wearable temperature sensor for human body temperature detection“. Journal of Materials Science: Materials in Electronics 32, Nr. 4 (11.01.2021): 4784–97. http://dx.doi.org/10.1007/s10854-020-05217-2.

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Santariová, M., L. Pinc, L. Bartoš, P. Vyplelová, J. Gerneš und V. Sekyrová. „Resistance of human odours to extremely high temperature as revealed by trained dogs“. Czech Journal of Animal Science 61, No. 4 (15.07.2016): 172–76. http://dx.doi.org/10.17221/8848-cjas.

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NAKATANI, Kaoru, Tatsuaki FURUMOTO, Takashi UEDA, Akira HOSOKAWA und Ryutaro TANAKA. „3373 Study on Temperature Measurement of Human Enamel by Er:YAG Laser Irradiation : The Influence of Surface Temperature on the Dental Pulp“. Proceedings of International Conference on Leading Edge Manufacturing in 21st century : LEM21 2011.6 (2011): _3373–1_—_3373–4_. http://dx.doi.org/10.1299/jsmelem.2011.6._3373-1_.

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Lakie, M., E. G. Walsh, L. A. Arblaster, F. Villagra und R. C. Roberts. „Limb temperature and human tremors.“ Journal of Neurology, Neurosurgery & Psychiatry 57, Nr. 1 (01.01.1994): 35–42. http://dx.doi.org/10.1136/jnnp.57.1.35.

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Anderson, G. S. „Human morphology and temperature regulation“. International Journal of Biometeorology 43, Nr. 3 (29.11.1999): 99–109. http://dx.doi.org/10.1007/s004840050123.

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Strigo, Irina A., Franco Carli und M. Catherine Bushnell. „Effect of Ambient Temperature on Human Pain and Temperature Perception“. Anesthesiology 92, Nr. 3 (01.03.2000): 699–707. http://dx.doi.org/10.1097/00000542-200003000-00014.

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Background Animal studies show reduced nociceptive responses to noxious heat stimuli and increases in endogenous beta-endorphin levels in cold environments, suggesting that human pain perception may be dependent on ambient temperature. However, studies of changes in local skin temperature on human pain perception have yielded variable results. This study examines the effect of both warm and cool ambient temperature on the perception of noxious and innocuous mechanical and thermal stimuli. Methods Ten subjects (7 men and 3 women, aged 20-23 yr) used visual analog scales to rate the stimulus intensity, pain intensity, and unpleasantness of thermal (0-50 degrees C) and mechanical (1.2-28.9 g) stimuli applied on the volar forearm with a 1-cm2 contact thermode and von Frey filaments, respectively. Mean skin temperatures were measured throughout the experiment by infrared pyrometer. Each subject was tested in ambient temperatures of 15 degrees C (cool), 25 degrees C (neutral), and 35 degrees C (warm) on separate days, after a 30-min acclimation to the environment. Studies began in the morning after an 8-h fast. Results Mean skin temperature was altered by ambient temperature (cool room: 30.1 degrees C; neutral room: 33.4 degrees C; warm room: 34.5 degrees C; P < 0.0001). Ambient temperature affected both heat (44-50 degrees C) and cold (25-0 degrees C) perception (P < 0.01). Stimulus intensity ratings tended to be lower in the cool than in the neutral environment (P < 0.07) but were not different between the neutral and warm environments. Unpleasantness ratings revealed that cold stimuli were more unpleasant than hot stimuli in the cool room and that noxious heat stimuli were more unpleasant in a warm environment. Environmental temperature did not alter ratings of warm (37 and 40 degrees C) or mechanical stimuli. Conclusions These results indicate that, in humans, a decrease in skin temperature following exposure to cool environments reduces thermal pain. Suppression of Adelta primary afferent cold fiber activity has been shown to increase cold pain produced by skin cooling. Our current findings may represent the reverse phenomenon, i.e., a reduction in thermal nociceptive transmission by the activation of Adelta cutaneous cold fibers.
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Dissertationen zum Thema "Human temperature"

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Braesch-Andersen, Ken. „Temperature dependence in human Rhinovirus infection of human MRC-5“. Thesis, Uppsala universitet, Institutionen för biologisk grundutbildning, 2019. http://urn.kb.se/resolve?urn=urn:nbn:se:uu:diva-392331.

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Temperature has been known to be an important factor for in vitro studies where human cell cultures are infected with HRV (human Rhinovirus). The mechanisms behind the temperature effect on the struggle between virulence and cellular defense, are still largely unknown and may be a crucial part in finding a treatment to the common cold. In this study we focused on a few cellular key elements in this struggle and observed behavior changes in regards to the pre-infection growth temperature and the temperature during the viral infection. Past studies have focused mainly on the temperature post inoculation, but here we also wanted to correlate virulence to the growth temperatures preceding the viral infection. We found that the growth temperature of the cell did indeed affect its response to the HRV. If the cells had been growing in an optimal body temperature of 37°C before getting virally infected at 33°C, the viability of the cells did decrease in comparison to cells that had been growing in 33°C from before the viral infection. We could also observe a significant temperature dependence regarding IL-8 release upon HRV inoculation. HRV strive to block induction of inflammatory cytokines such as interferons and IL-1. It may be that impaired IL-8 release at lower temperatures will prevent important danger signals alerting the immune system when cytokine signaling is otherwise hampered by viral intervention.
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Jang, Tai Seung. „Thermophysiologic issues in computational human thermal models /“. free to MU campus, to others for purchase, 2003. http://wwwlib.umi.com/cr/mo/fullcit?p1418034.

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Power, Jonathan. „Human temperature regulation in wind and waves“. Thesis, University of Portsmouth, 2012. https://researchportal.port.ac.uk/portal/en/theses/human-temperature-regulation-in-wind-and-waves(38d9b1df-8d85-431a-afc4-66d1a44aa4c8).html.

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Many international and national standards exist for the testing and certification of immersion suits. Some require the thermal protective properties of immersion suits to be tested with human volunteers in calm, circulating 2°C water. The knowledge gap that currently exists between the benign testing conditions used in international standards and specifications, and the harsh environments that an immersed individual find themselves in following a marine accident, could result in unexpectedly poor levels of performance, with fatalities occurring sooner than expected following accidental immersion. Study 1 determined the heat loss from the skin of volunteers in immersion suits and immersed in wind and waves. Twelve healthy participants (Age: 25.8 [5.9] years old; Mass: 81.7 [13.1]kg; Height: 176.2 [7.7]cm) performed four, one hour immersions in the following conditions: Calm water; Wind-only; Waves-only; and Wind + Waves. Compared to Calm (67.21 [4.70]W·m-2), all the other immersion conditions produced a significantly greater increase in mean skin heat flow (MSHF) (Wind: 79.60 [6.70]W·m-2; Waves: 78.8 [4.52]W·m-2; Wind + Waves: 92.00 [8.39]W·m-2). The Wind + Waves condition produced a significantly greater increase in MSHF compared to all other conditions. Study 2 built upon the findings of the first by investigating the extent to which human thermal responses were related to the severity of weather conditions. Twelve healthy males (Age: 23.9 [3.3] years old; Mass: 83.2 [4.9]kg; Height: 181.0 [4.9]cm) performed three, three hour immersions in the following conditions: Calm water; Weather 1; and Weather 2. Compared to the calm water condition (62.96 [2.98]W·m-2], both weather conditions produced a significantly greater increase in MSHF (Weather 1: 76.75 [6.26]W·m-2; Weather 2: 79.53 [6.24]W·m-2). There were no significant differences in the change in gastro-intestinal temperature (TGI) across immersion conditions (Calm: -0.10 [0.31]°C; Weather 1: -0.29 [0.30]°C; Weather 2: -0.20 [0.28]°C]. There were no significant differences in V · O2 across immersion conditions (Calm: 0.325 [0.054]L·min-1; Weather 1: 0.332 [0.108]L·min-1; Weather 2: 0.365 [0.080]L·min-1). Study 3 investigated the effect of simulated water ingress under an immersion suit on human thermal responses during immersions in varying weather conditions. Twelve healthy males (Age: 25.6 [5.6] years old; Mass: 82.7 [10.2]kg; Height: 181.0 [4.7]cm) performed three, three hour immersions in the same conditions as Study 2, but with 500mL of water underneath the immersion suit. Compared to the calm water condition (79.45 [9.19]W·m-2), both weather conditions produced a significantly greater increase in MSHF (Weather 1: 102.06 [11.98]W·m-2; Weather 2: 107.48 [3.63]W·m-2). There were no significant differences in the change in TGI (Calm: -0.35 [0.14]°C; Weather 1: -0.38 [0.15]°C; Weather 2: 0.29 [0.25]°C) or V · O2 (Calm: 0.449 [0.054]L·min-1; Weather 1: 0.503 [0.051]L·min-1; Weather 2: 0.526 [0.120]L·min-1) across conditions. Survival times were calculated for the participants of Studies 2 and 3. There was no difference in the predicted survival times for the Study 2 participants for both the calm (> 36 hours) and wind and wave conditions (> 36 hours). The predicted survival times for the participants of Study 3 were significantly lower in the turbulent conditions (16 hours) compared to calm (27 hours). The predicted survival times of the participants in turbulent conditions were up to half those calculated for calm water immersions. The results collected in Studies 2 and 3 were used to calculate the change in total insulation in varying conditions compared to being dry. Immersions in wind and waves will reduce immersion suit insulation by 27%; 500mL of water leakage will reduce it by 24%; wind, waves and 500mL of water combined will reduce it by 43%. The predicted amount of oxygen consumption (V · O2 P) to produce the amount of heat required to remain in thermal balance can be estimated by rearranging the equations used to calculate metabolic heat production and insulation. If heat loss exceeds the assumed maximum heat production of 206W·m-2, hypothermia will eventually develop. The point at which heat loss exceeds maximum heat production has been determined in a range of conditions. It is concluded that: immersions in wind and waves causes a significant increase in heat flow from the body compared to calm conditions. Testing individuals and immersion suits in conditions not representative of the area where they are to be used may, or may not, result in an over-estimation of performance depending on the capacity of an individual’s thermoregulatory system.
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Dugas, Jonathan. „Temperature responses to exercise and performance“. Doctoral thesis, University of Cape Town, 2006. http://hdl.handle.net/11427/3233.

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Includes bibliographical references (p. 216-249).
The temperature responses to exercise have been a much investigated topic of intense research interest over the past 50 years. More recently, the effects of fluid ingestion on temperature regulation have been the focus of this area. The aim of this thesis is to undertake research to evaluate what has become the established dogma in this field and to determine whether a new model might better explain thermoregulation in humans during endurance exercise.
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Gillis, D. Jason. „Influence of menthol on human temperature regulation and perception“. Thesis, University of Portsmouth, 2011. https://researchportal.port.ac.uk/portal/en/theses/influence-of-menthol-on-human-temperature-regulation-and-perception(7a1256d9-53cd-4afc-ac7c-c11fc2d2dbd0).html.

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When exercise is undertaken in warm, humid conditions, the thermal gradient between the skin and environment, and the capacity for evaporative heat loss, are reduced. These factors, along with an increase in metabolic heat production, lower work capacity and exercise performance. Thermoreceptors located within the skin and deep in the body convey information on this accumulation of thermal energy to higher brain structures and, if mean body temperature rises uncontrollably, the cumulative neuronal input is thought to produce inhibitory signals that lower work capacity, such that metabolic heat production decreases to protect the organism from heat injury. Lessening these inhibitory signals may enhance or help to maintain exercise performance in the heat. The inhibitory signals might be lessened by cooling the skin and deep body temperature prior to or during exercise, or perhaps by applying menthol on the skin, or some combination of these. Menthol is a chemical compound that activates cold receptors (TRPM8) in the skin to elicit cool sensations. These receptors are not otherwise activated unless cooled below 27 °C. Hence, menthol, when applied to the skin of heat stressed humans, may provide a “cool’’ neuronal input to higher brain structures in addition to the neuronal signals arising from warm thermoreceptors located within the body. But menthol may also induce a heat storage (cold defense) response that would then heighten the activity of warm receptors deep in the body. Therefore, it is not clear whether menthol might reduce, enhance or help to maintain exercise performance in heat stressed humans. Moreover, no studies have assessed the perceptual and thermoregulatory response to menthol during rest or exercise, or the consequence of its repeated use. Before it is recommended as a possible ergogenic aid, these studies should be undertaken. The early work presented in this thesis tested the hypotheses that a water-based spray, containing ethanol and/or menthol, would enhance evaporative cooling when sprayed on the skin, thereby lowering heat storage and improving thermal perception compared to an unsprayed Control condition; but menthol would also improve thermal perception independent of temperature by directly stimulating cold receptors, during rest and exercise in warm, humid conditions. The hypothesis that menthol-mediated cool sensations would not undergo any habituation after repeated exposures was also tested. The general approach to testing these hypotheses involved presenting human participants with a thermal challenge that would induce warm sensations and increase thermal discomfort, whilst encouraging a level of heat storage that could be compensated for by increasing heat loss through v sodilation and sweating. This was achieved by manipulating metabolic heat production through a combination of rest and fixed intensity exercise in warm (30 °C) and humid (70 %) conditions. The influence of a menthol solution spray was tested against the backdrop of this thermal challenge. The results supported the general hypothesis that a water-based upper-body spray containing menthol can increase sensations of coolth compared to no spraying or wateronly spraying during rest and exercise in warm, humid conditions, but menthol also influences body temperature regulation. The effect that menthol exerts over perception and thermoregulation differs by dose and fades with time. Specifically, 0.2 % menthol spraying encourages heat storage by enhancing vasoconstriction, and there is no habituation in these responses. 0.05 % menthol spraying did not encourage any additional heat storage compared to a Control spray. Menthol also influenced perception, with a 0.2 % menthol spray promoting cooler sensations and greater irritation than 0.05 % menthol and Control spraying. Compared to a Control spray, 0.2 % menthol reduced thermal comfort during rest and improved it during exercise, while 0.05 % menthol did not alter thermal comfort during rest, and may have improved it during exercise. Neither menthol spray influenced perceived exertion during exercise. Menthol-mediated cool sensations lasted 15 to 30 minutes. Both 0.2 % and 0.05 % menthol sprays underwent an habituation compared to the Control spray, with cool sensations diminishing after repeated daily exposures. It is concluded that a 0.05 % menthol spray, which induces cool sensations without a significant heat storage response, could be considered as a perceptual cooling intervention with some capacity to enhance evaporative heat loss when sprayed on the skin during rest and moderate fixed-intensity exercise in the heat. A 0.2 % menthol spray might be deployed later in exercise, but may increase heat storage and irritation. Further testing is required to identify whether menthol spraying improves maximal exercise performance.
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Medlicott, A. P. „Mango fruit ripening and the effects of maturity, temperature and gases“. Thesis, University of Wolverhampton, 1985. http://ethos.bl.uk/OrderDetails.do?uin=uk.bl.ethos.356453.

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Yıldırım, Eda Didem Özerdem Barış. „A mathematical model of the human thermal system/“. [s.l.]: [s.n.], 2005. http://library.iyte.edu.tr/tezler/master/makinamuh/T000421.pdf.

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Gray, Stuart R. „Temperature and in vivo human skeletal muscle function and metabolism“. Thesis, University of Strathclyde, 2007. http://oleg.lib.strath.ac.uk:80/R/?func=dbin-jump-full&object_id=21683.

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Increasing the temperature of the exercising muscle, passively or actively, leads to alterations in the contractile properties of the muscle, importantly an increase in power output. There is limited information, however, regarding the metabolic changes, if any, occurring within the muscle at higher temperatures and how these are related to the contractile changes occurring within the muscle and how such changes may, or may not, affect the efficiency of the working muscles. The greater power output produced during maximal sprint cycling, after a passive increase in Tm, was associated with an increase in the rate of anaerobic ATP turnover and muscle fibre conduction velocity. Further investigation revealed that this greater anaerobic ATP turnover within the muscle was the result of a greater activity of type HA fibres in the cadence range of 160-180 revs. min⁻¹. When the external power output of the muscle remains constant during more prolonged cycling exercise, performed at 60 revs. min⁻¹, there was also a greater rate of anaerobic ATP turnover in the first 2 min of exercise, with no differences in the remainder of exercise after passive elevation of Tm. There were no differences in the aerobic energy contribution or the kinetics of the V0₂ response between T. conditions. These changes led to a decrease in mechanical efficiency in the first 2 min of exercise, which was associated with a tendency for a greater PCr degradation in type I fibres. When T. was elevated via prior intense exercise there was decrease in mechanical efficiency, during 6 min of heavy exercise, at both 60 and 120 revs. min⁻¹. There was also a greater "absolute" primary amplitude and decrease in the slow component after prior exercise, with the response being greater at 120 revs. min⁻¹. The present research has demonstrated that whilst an increase in T. leads to a greater power output, during maximal exercise, mechanical efficiency is reduced as exercise progresses beyond a few seconds. Furthermore, at faster pedal rates T. affects type IIA fibres whilst at slower pedal rates (60 revs. min⁻¹) there appears to be a preferential effect on type I fibres, highlighting the velocity specific effect of Tm.
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Naperalsky, Michael E. „Effect of post-exercise environmental temperature on glycogen resynthesis“. The University of Montana, 2009. http://etd.lib.umt.edu/theses/available/etd-06052009-115319/.

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Hotter environments can often alter the normal exercises responses of metabolism and work performance compared to exercise in a more neutral condition. The goal of this study was to determine the effects of a hot (H) and room temperature (RT) environment on glycogen resynthesis during recovery from exercise. Recreationally active males (n = 9) completed two trials, each with 60-min of cycling exercise at 60% of maximum watts in a temperature-controlled chamber (32.6°C), followed by 4 hours of recovery at the same temperature (H) or 22.2°C (RT). Subjects were fed a carbohydrate beverage (1.8 g/kg bodyweight) at 0 and 2 hours post-exercise. Muscle biopsies were taken from the vastus lateralis at 0, 2, and 4 hours post-exercise for analysis of muscle glycogen. Blood samples were collected at 0, 30, 60, 120, 150, 180, and 240 minutes of recovery for glucose and insulin analysis. Ambient and core temperatures were monitored for the duration of the trial. Expired gas was collected prior to 2- and 4-hour biopsies for calculation of whole-body carbohydrate (CHO) oxidation. Glycogen, core temperature, CHO oxidation, and blood marker values were analyzed using two-way ANOVA with repeated measures. Average core temperature was significantly higher in H compared to RT (38.1°C ± 0.01° vs. 37.9°C ± 0.08°, p<0.05) during recovery. Glycogen was not different at 0 and 2 hours post-exercise. However, at 4 hours post-exercise muscle glycogen was significantly higher in RT vs. H (105 ± 28 vs. 88 ± 24 mmolkg-1 wet weight, respectively). Blood glucose levels were similar between H and RT for the first two hours, but showed lower values (p<0.05) in RT compared to H at time points 150, 180, and 240 minutes post-exercise. CHO oxidation during recovery was higher in H compared to RT (0.36 ± 0.04 g/min vs. 0.22 ± 0.03 g/min, respectively, p<0.05), with greater CHO oxidation at 4-hours post-exercise in both trials. Glycogen resynthesis during recovery is impaired in a hot environment, likely due to increased oxidation of CHO instead of synthesis.
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Fiala, Dusan. „Dynamic simulation of human heat transfer and thermal comfort“. Thesis, Online version, 1998. http://ethos.bl.uk/OrderDetails.do?did=1&uin=uk.bl.ethos.340123.

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Bücher zum Thema "Human temperature"

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Wissler, Eugene H. Human Temperature Control. Berlin, Heidelberg: Springer Berlin Heidelberg, 2018. http://dx.doi.org/10.1007/978-3-662-57397-6.

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Human thermal environments. London: Taylor & Francis, 1993.

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Human selective brain cooling. New York: Springer-Verlag, 1995.

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Freitas, Christopher R. De. Human thermal climates of New Zealand. Wellington, N.Z: New Zealand Meteorological Service, 1986.

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Human thermal environments: The effects of hot, moderate, and cold environments on human health, comfort, and performance. 2. Aufl. London: Taylor & Francis, 2003.

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Risley, John C. Relations of Tualatin River water temperatures to natural and human-caused factors. Portland, Or: U.S. Dept. of the Interior, U.S. Geological Survey, 1997.

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C, Risley John. Relations of Tualatin River water temperatures to natural and human-caused factors. Portland, Or: U.S. Dept. of the Interior, U.S. Geological Survey, 1997.

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C, Risley John. Relations of Tualatin River water temperatures to natural and human-caused factors. Portland, Or: U.S. Dept. of the Interior, U.S. Geological Survey, 1997.

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Caravokyri, Calliope. Characterization of temperature-sensitive mutants of human respiratory syncytial (RS) virus. [s.l.]: typescript, 1990.

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Is the temperature rising?: The uncertain science of global warming. Princeton, N.J: Princeton University Press, 1998.

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Buchteile zum Thema "Human temperature"

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Wissler, Eugene H. „Temperature Measurement“. In Human Temperature Control, 41–76. Berlin, Heidelberg: Springer Berlin Heidelberg, 2018. http://dx.doi.org/10.1007/978-3-662-57397-6_3.

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Wissler, Eugene H. „Animal Heat and Thermal Regulation“. In Human Temperature Control, 1–16. Berlin, Heidelberg: Springer Berlin Heidelberg, 2018. http://dx.doi.org/10.1007/978-3-662-57397-6_1.

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Wissler, Eugene H. „The Development of a Mathematical Human Thermal Model“. In Human Temperature Control, 385–425. Berlin, Heidelberg: Springer Berlin Heidelberg, 2018. http://dx.doi.org/10.1007/978-3-662-57397-6_10.

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Wissler, Eugene H. „Conservation of Energy“. In Human Temperature Control, 17–40. Berlin, Heidelberg: Springer Berlin Heidelberg, 2018. http://dx.doi.org/10.1007/978-3-662-57397-6_2.

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Wissler, Eugene H. „Circulation“. In Human Temperature Control, 77–196. Berlin, Heidelberg: Springer Berlin Heidelberg, 2018. http://dx.doi.org/10.1007/978-3-662-57397-6_4.

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Wissler, Eugene H. „Sweating“. In Human Temperature Control, 197–237. Berlin, Heidelberg: Springer Berlin Heidelberg, 2018. http://dx.doi.org/10.1007/978-3-662-57397-6_5.

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Wissler, Eugene H. „Shivering“. In Human Temperature Control, 239–64. Berlin, Heidelberg: Springer Berlin Heidelberg, 2018. http://dx.doi.org/10.1007/978-3-662-57397-6_6.

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Wissler, Eugene H. „Temperature Distribution in the Body“. In Human Temperature Control, 265–87. Berlin, Heidelberg: Springer Berlin Heidelberg, 2018. http://dx.doi.org/10.1007/978-3-662-57397-6_7.

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Wissler, Eugene H. „Clothing“. In Human Temperature Control, 289–336. Berlin, Heidelberg: Springer Berlin Heidelberg, 2018. http://dx.doi.org/10.1007/978-3-662-57397-6_8.

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Wissler, Eugene H. „Heat and Mass Transfer from the Skin and Clothing“. In Human Temperature Control, 337–83. Berlin, Heidelberg: Springer Berlin Heidelberg, 2018. http://dx.doi.org/10.1007/978-3-662-57397-6_9.

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Konferenzberichte zum Thema "Human temperature"

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Yuan, Z., X. Hao, F. Wang, X. Tu, C. Bai und L. Ran. „Statistical relationship between human axillary and forehead temperatures“. In TEMPERATURE: ITS MEASUREMENT AND CONTROL IN SCIENCE AND INDUSTRY, VOLUME 8: Proceedings of the Ninth International Temperature Symposium. AIP, 2013. http://dx.doi.org/10.1063/1.4819677.

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Stadnyk, B., M. Stepanyak und E. Dziuban. „Temperature measurement of the human body“. In 3rd International Conference on Intelligent Materials, herausgegeben von Pierre F. Gobin und Jacques Tatibouet. SPIE, 1996. http://dx.doi.org/10.1117/12.237091.

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Deligiannidis, Leonidas. „Human Temperature Scanning from a Distance“. In 2020 International Conference on Computational Science and Computational Intelligence (CSCI). IEEE, 2020. http://dx.doi.org/10.1109/csci51800.2020.00316.

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Peacock, G. Raymond. „Human radiation thermometry and screening for elevated body temperature in humans“. In Defense and Security, herausgegeben von Douglas D. Burleigh, K. Elliott Cramer und G. Raymond Peacock. SPIE, 2004. http://dx.doi.org/10.1117/12.546635.

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5

Kameya, Tomohiro, Yu Matsuda, Yasuhiro Egami, Hiroki Yamaguchi und Tomohide Niimi. „Combined pressure and temperature sensor using pressure- and temperature-sensitive paints“. In 2012 International Symposium on Micro-NanoMechatronics and Human Science (MHS). IEEE, 2012. http://dx.doi.org/10.1109/mhs.2012.6492496.

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6

Brooks, Jas, Steven Nagels und Pedro Lopes. „Trigeminal-based Temperature Illusions“. In CHI '20: CHI Conference on Human Factors in Computing Systems. New York, NY, USA: ACM, 2020. http://dx.doi.org/10.1145/3313831.3376806.

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7

K, Thiyagarajan, S. G. Rahul, G. K. Rajini und Debashis Maji. „Indium Tin Oxide Based Flexible Temperature Sensor For Human Body Temperature Monitoring“. In 2020 Third International Conference on Advances in Electronics, Computers and Communications (ICAECC). IEEE, 2020. http://dx.doi.org/10.1109/icaecc50550.2020.9339493.

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Brooks, Jas, Pedro Lopes, Judith Amores, Emanuela Maggioni, Haruka Matsukura, Marianna Obrist, Roshan Lalintha Peiris und Nimesha Ranasinghe. „Smell, Taste, and Temperature Interfaces“. In CHI '21: CHI Conference on Human Factors in Computing Systems. New York, NY, USA: ACM, 2021. http://dx.doi.org/10.1145/3411763.3441317.

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Uygun, Mustafa, M. Serhan Kucuka und C. Ozgur Colpan. „3B modeling and temperature distribution of human brain“. In 2016 20th National Biomedical Engineering Meeting (BIYOMUT). IEEE, 2016. http://dx.doi.org/10.1109/biyomut.2016.7849378.

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Oguz, Pelin, und Gokhan Ertas. „Wireless dual channel human body temperature measurement device“. In 2013 International Conference on Electronics, Computer and Computation (ICECCO). IEEE, 2013. http://dx.doi.org/10.1109/icecco.2013.6718227.

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Berichte der Organisationen zum Thema "Human temperature"

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Zivin, Joshua S. Graff, Solomon Hsiang und Matthew Neidell. Temperature and Human Capital in the Short- and Long-Run. Cambridge, MA: National Bureau of Economic Research, Mai 2015. http://dx.doi.org/10.3386/w21157.

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2

Meyer, L. G. A Review of Models of the Human Temperature Regulation System. Fort Belvoir, VA: Defense Technical Information Center, Februar 1992. http://dx.doi.org/10.21236/ada258023.

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Deschenes, Olivier. Temperature, Human Health, and Adaptation: A Review of the Empirical Literature. Cambridge, MA: National Bureau of Economic Research, August 2012. http://dx.doi.org/10.3386/w18345.

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Valeri, C. R., Linda E. Pivacek, Allan Gray und Melissa Erban. Effects of Temperature, Length of Frozen Storage, and the Freezing Container on the Quality of Human Peripheral Blood Mononuclear Cells. Fort Belvoir, VA: Defense Technical Information Center, Juni 1991. http://dx.doi.org/10.21236/ada360228.

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5

Sarofim, M. C., S. Saha, M. D. Hawkins, D. M. Mills, J. Hess, R. Horton, P. Kinney, J. Schwartz und A. St. Juliana. Ch. 2: Temperature-Related Death and Illness. The Impacts of Climate Change on Human Health in the United States: A Scientific Assessment. U.S. Global Change Research Program, 2016. http://dx.doi.org/10.7930/j0mg7mdx.

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Yeates, Elissa, Kayla Cotterman und Angela Rhodes. Hydrologic impacts on human health : El Niño Southern Oscillation and cholera. Engineer Research and Development Center (U.S.), Januar 2020. http://dx.doi.org/10.21079/11681/39483.

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A non-stationary climate imposes considerable challenges regarding potential public health concerns. The El Niño Southern Oscillation (ENSO) cycle, which occurs every 2 to 7 years, correlates positively with occurrences of the waterborne disease cholera. The warm sea surface temperatures and extreme weather associated with ENSO create optimal conditions for breeding the Vibrio cholerae pathogen and for human exposure to the pathogenic waters. This work explored the impacts of ENSO on cholera occurrence rates over the past 50 years by examining annual rates of suspected cholera cases per country in relation to ENSO Index values. This study provides a relationship indicating when hydrologic conditions are optimal for cholera growth, and presents a statistical approach to answer three questions: Are cholera outbreaks more likely to occur in an El Niño year? What other factors impact cholera outbreaks? How will the future climate impact cholera incidence rates as it relates to conditions found in ENSO? Cholera outbreaks from the 1960s to the present are examined focusing on regions of Central and South America, and southern Asia. By examining the predictive relationship between climate variability and cholera, we can draw conclusions about future vulnerability to cholera and other waterborne pathogenic diseases.
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Stephenson, Lou A., Mark D. Quigley, Laurie A. Blanchard, Deborah A. Toyota und Margaret A. Kolka. Validation of Two Temperature Pill Telemetry Systems in Humans During Moderate and Strenuous Exercise. Fort Belvoir, VA: Defense Technical Information Center, Oktober 1992. http://dx.doi.org/10.21236/ada259068.

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Hostetler, Steven, Cathy Whitlock, Bryan Shuman, David Liefert, Charles Wolf Drimal und Scott Bischke. Greater Yellowstone climate assessment: past, present, and future climate change in greater Yellowstone watersheds. Montana State University, Juni 2021. http://dx.doi.org/10.15788/gyca2021.

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The Greater Yellowstone Area (GYA) is one of the last remaining large and nearly intact temperate ecosystems on Earth (Reese 1984; NPSa undated). GYA was originally defined in the 1970s as the Greater Yellowstone Ecosystem, which encompassed the minimum range of the grizzly bear (Schullery 1992). The boundary was enlarged through time and now includes about 22 million acres (8.9 million ha) in northwestern Wyoming, south central Montana, and eastern Idaho. Two national parks, five national forests, three wildlife refuges, 20 counties, and state and private lands lie within the GYA boundary. GYA also includes the Wind River Indian Reservation, but the region is the historical home to several Tribal Nations. Federal lands managed by the US Forest Service, the National Park Service, the Bureau of Land Management, and the US Fish and Wildlife Service amount to about 64% (15.5 million acres [6.27 million ha] or 24,200 square miles [62,700 km2]) of the land within the GYA. The federal lands and their associated wildlife, geologic wonders, and recreational opportunities are considered the GYA’s most valuable economic asset. GYA, and especially the national parks, have long been a place for important scientific discoveries, an inspiration for creativity, and an important national and international stage for fundamental discussions about the interactions of humans and nature (e.g., Keiter and Boyce 1991; Pritchard 1999; Schullery 2004; Quammen 2016). Yellowstone National Park, established in 1872 as the world’s first national park, is the heart of the GYA. Grand Teton National Park, created in 1929 and expanded to its present size in 1950, is located south of Yellowstone National Park1 and is dominated by the rugged Teton Range rising from the valley of Jackson Hole. The Gallatin-Custer, Shoshone, Bridger-Teton, Caribou-Targhee, and Beaverhead-Deerlodge national forests encircle the two national parks and include the highest mountain ranges in the region. The National Elk Refuge, Red Rock Lakes National Wildlife Refuge, and Grays Lake National Wildlife Refuge also lie within GYA.
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Tweet, Justin S., Vincent L. Santucci, Kenneth Convery, Jonathan Hoffman und Laura Kirn. Channel Islands National Park: Paleontological resource inventory (public version). National Park Service, September 2020. http://dx.doi.org/10.36967/nrr-2278664.

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Channel Island National Park (CHIS), incorporating five islands off the coast of southern California (Anacapa Island, San Miguel Island, Santa Barbara Island, Santa Cruz Island, and Santa Rosa Island), has an outstanding paleontological record. The park has significant fossils dating from the Late Cretaceous to the Holocene, representing organisms of the sea, the land, and the air. Highlights include: the famous pygmy mammoths that inhabited the conjoined northern islands during the late Pleistocene; the best fossil avifauna of any National Park Service (NPS) unit; intertwined paleontological and cultural records extending into the latest Pleistocene, including Arlington Man, the oldest well-dated human known from North America; calichified “fossil forests”; records of Miocene desmostylians and sirenians, unusual sea mammals; abundant Pleistocene mollusks illustrating changes in sea level and ocean temperature; one of the most thoroughly studied records of microfossils in the NPS; and type specimens for 23 fossil taxa. Paleontological research on the islands of CHIS began in the second half of the 19th century. The first discovery of a mammoth specimen was reported in 1873. Research can be divided into four periods: 1) the few early reports from the 19th century; 2) a sustained burst of activity in the 1920s and 1930s; 3) a second burst from the 1950s into the 1970s; and 4) the modern period of activity, symbolically opened with the 1994 discovery of a nearly complete pygmy mammoth skeleton on Santa Rosa Island. The work associated with this paleontological resource inventory may be considered the beginning of a fifth period. Fossils were specifically mentioned in the 1938 proclamation establishing what was then Channel Islands National Monument, making CHIS one of 18 NPS areas for which paleontological resources are referenced in the enabling legislation. Each of the five islands of CHIS has distinct paleontological and geological records, each has some kind of fossil resources, and almost all of the sedimentary formations on the islands are fossiliferous within CHIS. Anacapa Island and Santa Barbara Island, the two smallest islands, are primarily composed of Miocene volcanic rocks interfingered with small quantities of sedimentary rock and covered with a veneer of Quaternary sediments. Santa Barbara stands apart from Anacapa because it was never part of Santarosae, the landmass that existed at times in the Pleistocene when sea level was low enough that the four northern islands were connected. San Miguel Island, Santa Cruz Island, and Santa Rosa Island have more complex geologic histories. Of these three islands, San Miguel Island has relatively simple geologic structure and few formations. Santa Cruz Island has the most varied geology of the islands, as well as the longest rock record exposed at the surface, beginning with Jurassic metamorphic and intrusive igneous rocks. The Channel Islands have been uplifted and faulted in a complex 20-million-year-long geologic episode tied to the collision of the North American and Pacific Places, the initiation of the San Andreas fault system, and the 90° clockwise rotation of the Transverse Ranges, of which the northern Channel Islands are the westernmost part. Widespread volcanic activity from about 19 to 14 million years ago is evidenced by the igneous rocks found on each island.
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Relations of Tualatin River water temperatures to natural and human-caused factors. US Geological Survey, 1997. http://dx.doi.org/10.3133/wri974071.

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