2007, Piran, Slovenia

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Environmental Ergonomics XII Igor B. Mekjavic, Stelios N. Kounalakis & Nigel A.S. Taylor (Eds.), © BIOMED, Ljubljana <strong>2007</strong> REFERENCES Ardelean, C., 2006. Ergonomics Aspects of the Administrative Work-place. Dissertation Thesis, Lucin Blaga University of Sibiu, Romania. Burloiu, P. 1997. Managementul resurselor umane. Editura Lumina Lex, Bucharest. Draghici, A. 2003. Considerations of the work system optimisation from the ergonomics and systemic perspectives, Buletinul Ştiinţific al Universităţii “Politehnica” din Timişoara, România, Seria Management. Inginerie Economică. Ingineria Transporturilor. Tom 48 (62) Fascicola 1, 2.147-164. Draghici, A. 2004. The Necesity and Modalities for Limit the Occupational Diseases Risk in Romania, Buletinul Ştiinţific al Universităţii “Politehnica” din Timişoara, România, Seria Management. Inginerie Economică. Ingineria Transporturilor. Tom 49 (63), Fascicola 1, 2. 36-58. Draghici, A., Draghici, G., Nitulescu, M. 2006. Ergonomics Virtual Design – Human Posture and Activity Analysis, in Virtual Design and Automation – New Trends in Collaborative Product Design, Ed. Zenobia Weiss, Publishing House of Poznan University of Technology, Poland, 103 – 110. Holdevici, I. 1995. Autosugestie şi relaxare. Editura Ceres, Bucharest. Mathis, R., Nica, P., Rusu, C. 1997. Managementul resurselor umane. Editura Economică, Bucharest. Moldovan, M. 1993. Ergonomie. Editura Didactică şi Pedagogică, Bucharest. Oprea, V., Mihalache C., Constantin B., 2003. Ergonomie: principii şi aplicaţii în sistemul medical. Ed. Gr. T. Popa U.M.F, Iaşi. Unguru, I. 2003. Organizarea locului de muncă, Editura Ştiinţifică, Bucharest. 536
Working environment ERGONOMICS OPTIMIZATION OF THE INDUSTRIAL LIGHTING SYSTEM. Denis Mihai Serban 1 , Costela Ardelean 2 and Anca Draghici 3 1 Victor Babes University of Medicine and Pharmacy Timisoara, Romania, 3 County Hospital of Timisoara, Romania, 2 Politehnica University of Timisoara, Romania Contact person: adraghici@eng.upt.ro INTRODUCTION Modern illumination systems must simultaneously accomplish two conditions: (1) comfortable visual ergonomic perception in order to minimize the visual analyzer’s fatigue; and (2) economizing power use and minimizing effects on the environment. These conditions are of great importance when they are applied to large industrial systems. The lighting is essential to increasing operator performance, and it contributes to a safer and more comfortable working environment. Therefore, in the present paper we have studied for the optimization of industrial lighting systems, and in particular within the textile industry. Preliminary to this research, direct observation of working places was pursued, involving: visual perception and solicitation of human operators, analyzing medical charts for ophthalmologic problems, analyzing illumination systems in industrial halls, analyzing chromatic ambience of the industrial environment. These preliminary studies allowed the determination of appropriate research methods, conclusions and proposals for the optimization of industrial lighting systems for the textile industry. METHODS The methods used for research were: (1) direct observation of the working places, using observation charts; (2) dialogue with the focus group with the purpose of collecting data for the effects on health of lighting conditions; (3) defining and completion of analysis certificate for illumination in 7 industrial units of textile industry, at their request. There were made 42 determinations with the representative detail of 0.8-1.2 mm. in the research we were interested in: the level of illumination (lx), the contrast between detail and background, and the characteristic of the background. RESULTS This research revealed the following results (Figure 1): (1) depending on the level of illumination (lx) only 2 of 42 analyzed machines had the level of illumination less than 300 lx, that means 4.76%. (2) in the interval 300- 499 lx we found 8 machines, that means 19.04%; (3) in the interval 500- 699 lx we found 14 machines, that means 33.33%; (4) in the interval 700- 899 lx we found 12 machines, that means 28.57%; and (5) greater than 900 lx were 6 machines, that represents 14.28%. Depending on the contrast between detail and background there was only one machine (representing 2.38%) with big contrast, 2 machines (representing 4.76%) with medium contrast and the rest of 39 (representing 92.85%) with small contrast (Figure 2). 537
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ENVIRONMENTAL ERGONOMICS XII Procee
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ENVIRONMENTAL ERGONOMICS XII Procee
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International Conferences on Enviro
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TABLE OF CONTENTS Table of contents
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Table of contents ALTITUDE ATTENUAT
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Table of contents TOWARDS PREVENTIO
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Table of contents RATE AFFECT EXERC
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Table of contents Uroš Dobnikar, S
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Table of contents TO A HOT ENVIRONM
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Table of contents Andreas D. Flouri
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Table of contents PHYSICAL FITNESS
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Table of contents ESTIMATION OF THE
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Herman Potocnic Lecture the advanta
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Invited presentation Gravitational
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Gravitational Physiology SKELETAL M
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Lf (mm) 50.0 40.0 30.0 20.0 10.0 Fa
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Gravitational Physiology maximum is
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Gravitational Physiology THERMOREGU
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Gravitational Physiology THE EXERCI
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Gravitational Physiology Since exer
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Gravitational Physiology During the
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Gravitational Physiology CARDIOVASC
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as observed at rest after LBNP was
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Gravitational Physiology THERMOREGU
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Gravitational Physiology THE EFFECT
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Gravitational Physiology Fortney SM
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Gravitational Physiology Contractil
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Gravitational Physiology Edgerton V
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Diving Physiology A library of imag
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Diving Physiology Information recal
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Diving Physiology RESULTS Figure 1
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Diving Physiology sensitivity is no
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Diving Physiology Physiological Mea
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Diving Physiology same sequence. Th
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Diving Physiology HYPERVENTILATION
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Diving Physiology software. Individ
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Diving Physiology REFERENCES IMCA.
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Diving Physiology recorded (MIE Med
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Diving Physiology DISCUSSION The ma
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Altitude Physiology vastus laterali
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Altitude Physiology IS INTERMITTENT
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Altitude Physiology Table 2: Lactat
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Altitude Physiology CARBOHYDRATE IN
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Altitude Physiology Figure 1: Mean
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Altitude Physiology HYPOXIA INDUCED
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Altitude Physiology Figure 1. Mean
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Altitude Physiology ANALYSIS OF MUS
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SOL MG TA BF VM Altitude Physiology
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Altitude Physiology LOAD CARRIAGE I
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Table 2: Differential ratings of pe
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Altitude Physiology EFFECTS OF INTE
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Cerebral deoxy-Hb (delta, µM) Cere
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Altitude Physiology ENDURANCE RESPI
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Altitude Physiology Wylegala JA, Pe
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Invited presentation Cognitive and
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Cognitive and Psycophysiological Fu
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Cognitive and psychophysiological f
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CLOTHING AND TEXTILE SCIENCE 131
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Clothing SPACER FABRICS IN OUTDOOR
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F i / g m -2 4,0 3,5 3,0 2,5 2,0 1,
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Clothing TOTAL EVAPORATIVE RESISTAN
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9,0 8,0 7,0 6,0 5,0 4,0 3,0 2,0 1,0
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Clothing DIFFERENCES IN CLOTHING IN
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Clothing parallel It values ranged
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Clothing CORRELATION BETWEEN SUBJEC
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Clothing and left side chest, scapu
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Clothing studies using an ice vest
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Insulation (Clo) (Clo) Clo / kg 6 5
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Clothing EFFECTS OF MOISTURE TRANSP
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Clothing the P plots above 60%RH (p
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Clothing EFFECT OF CLOTHING INSULAT
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Clothing EFFECTS OF QUILT AND MATTR
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38 33 28 23 18 0 30 60 90 120 150 m
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Clothing German) were measured, and
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Clothing Metabolism decreased and w
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Clothing Table 1. Comparison of ski
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Clothing PHYSIOLOGICAL RESPONSES AT
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Clothing underwear at 25 °C in per
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Clothing REDUCTION OF HEAT STRESS I
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Clothing THE INTERACTION BETWEEN PH
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Relative humidity (%) Clothing Figu
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Clothing DEVELOPMENT OF THE “WEAR
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Clothing EFFECTS OF AIR GAPS UNDER
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Temper at ur e( ˇ ć) 28.5 27.5 26
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Personal protective equipment Invit
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Personal protective equipment fabri
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Personal protective equipment PHYSI
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Mean skin temperature (ºC) 38.0 37
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Personal protective equipment the S
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Personal protective equipment DISCU
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Personal protective equipment Final
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Personal protective equipment REFER
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Personal protective equipment Tc wa
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Personal protective equipment level
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F i / g m -2 300 250 200 150 100 50
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h M / % 90 80 70 60 50 40 activity
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Personal protective equipment 0.05
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Personal protective equipment was u
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Personal protective equipment THERM
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Personal protective equipment the s
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Personal protective equipment the c
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Personal protective equipment wette
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Table 1 1. Properties of the tested
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Personal protective equipment HEAT
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Personal protective equipment Profi
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Personal protective equipment PHYSI
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Personal protective equipment REDUC
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39.0 38.5 38.0 37.5 37.0 36.5 40.0
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Personal protective equipment EXERC
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Personal protective equipment appro
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Personal protective equipment Table
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Personal protective equipment reduc
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Invited presentation Non-thermal fa
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Non-thermal factors heat loss by al
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Non-thermal factors DOES A FATIGUE-
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Non-thermal factors cycling, despit
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Non-thermal factors INDIVIDUAL VARI
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Non-thermal factors to some categor
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Non-thermal factors RATES OF TOTAL
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Non-thermal factors CHANGES IN BLOO
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Non-thermal factors Table 1. Thresh
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Non-thermal factors THE DIFFERENCE
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Water intake(g) 2000 1800 1600 1400
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Non-thermal factors IMPROVED FLUID
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Non-thermal factors A tendency for
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Sweating Table 1: Sweat gland count
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Sweating Taylor, N.A.S. (2000). Reg
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Sweating back/waist area and finall
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Figure 1: A chrome dome following p
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Sweating Such differences could be
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Sweating the forearm and thigh skin
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Sweating dramatically after puberty
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Sweating In addition local sweating
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Sweating REGIONAL FOOT SWEAT RATES
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Sweating REGIONAL SWEAT RATES OF TH
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Sweating Figure 2 shows the skin te
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Sweating SWEATY HANDS: DIFFERENCES
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Sweating Figure 2: Inter-site sweat
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Sweating REGIONAL DIFFERENCES IN TO
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Sweating Figure 2: Inter-site sweat
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Sweating MENSTRUAL CYCLE DOES NOT A
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Sweating RESULTS On average, the ma
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Sweating THE SWEAT SECRETION AND SO
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Sweating Figure 1: A quadrant diagr
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Invited presentation FINGER COLD IN
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Cold physiology INTRA-INDIVIDUAL DI
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Cold physiology number was estimate
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Cold physiology cold receptors decr
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Cold physiology EFFECT OF URAPIDIL
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Cold physiology THE EFFECT OF EXERC
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TRAINABILITY OF COLD INDUCED VASODI
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Cold physiology REFERENCES Adams, T
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Cold physiology THE EFFECT OF REPEA
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Cold physiology THE EFFECT OF ALTIT
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Cold physiology SKIN SURFACE MENTHO
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Cold physiology COGNITIVE PERFORMAN
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Seconds 6.5 6.0 5.5 5.0 4.5 4.0 3.5
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Cold water immersion REFERENCES Mek
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Cold water immersion the formula: M
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Cold water immersion REFERENCES Cho
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Cold water immersion were: 1 metre
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Cold water immersion surf beaches.
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Cold water immersion Table 1. Break
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Cold water immersion ARM INSULATION
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Cold water immersion RESULTS Experi
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Cold water immersion thermogenesis
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Cold water immersion The other comp
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Cold water immersion REFERENCES And
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Thermal comfort THERMAL SENSATIONS
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Exer - cise PC Wind (m·s -1 ) 0 ne
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Thermal comfort and heart rate usin
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Thermal comfort A NEW METHOD FOR EV
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Thermal comfort DEVELOPMENT OF AN I
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Thermal comfort DISCUSSION This new
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Thermal comfort limit of exposure d
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Table 2: Statistical summary. Gende
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Thermal comfort comfortable”), wh
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Thermal comfort RELATION BETWEEN TH
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Thermal comfort Figure 2. Skin wett
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Thermal comfort THE EVALUATION OF T
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Temp.ˇ ]˘ Jˇ ^ 42 40 38 36 34 32
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time(min) Thermal comfort WHY DO JA
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Thermal comfort TCT : THERMAL COMFO
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Thermal comfort INTERNATIONAL STAND
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Acute and chronic heat exposure PHY
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Acute and chronic heat exposure Fig
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Acute and chronic heat exposure EFF
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Acute and chronic heat exposure 2.2
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Acute and chronic heat exposure EFF
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Acute and chronic heat exposure A N
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Acute and chronic heat exposure of
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Acute and chronic heat exposure PHY
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Acute and chronic heat exposure Tab
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Acute and chronic heat exposure INT
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probability plot 99 95 80 60 40 20
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Acute and chronic heat exposure HAN
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Acute and chronic heat exposure ALL
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Acute and chronic heat exposure Tab
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Acute and chronic heat exposure UNC
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Thermal Sensation Scale 10 9 8 7 6
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Acute and chronic heat exposure RES
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Acute and chronic heat exposure eve
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Acute and chronic heat exposure 30%
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Acute and chronic heat exposure REF
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RADIANT FLOW THROUGH BICYCLE HELMET
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Figure 2. Difference in heat transf
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Manikins DEVELOPMENT OF A LYING DOW
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IT = 6.45( _ ,Tsk - _ ,Tair)/(Q/A)
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Manikins cases. If the body is even
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Heat balance components 100% 80% 60
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Manikins clothing system. This effe
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Manikins The coupled system was val
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Manikins A NOVEL APPROACH TO MODEL-
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Manikins THERMAL MANIKIN EVALUATION
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SR (g/min) Figure 2. Predictive mod
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ESTIMATION OF COOLING EFFECT OF ICE
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Manikins Figure 3: Comparison among
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Manikins EVALUATION OF THE ARMY BOO
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Ty [Nm] 60 50 40 30 20 10 0 0 5 10
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Manikins different black 100% cotto
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Manikins REFERENCES Bogerd, C.P., H
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Modelling RESULTS From this kind of
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Modelling (T , T , V& , ) = 1. 0 +
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NORMALIZED CVCL 8 7 6 5 4 3 2 1 0 M
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Modelling illustrated in Figure 1.
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Modelling MODELLING PATIENT TEMPERA
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Modelling Figure 1: Blood and mean
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Modelling simulations the additiona
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Modelling Table 1. Descriptive summ
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Modelling concomitant increase in b
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Modelling REFERENCES 1. U.S. Depart
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Modelling from the 1988 population.
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Modelling somatotypes in multivaria
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Modelling Each scan data was first
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Page 497 and 498: Air film Skin surface Skin layer δ
Page 499 and 500: Measurement methods and calculated
Page 501 and 502: Rectal temperature ( o C) 39.5 39.0
Page 503 and 504: Measurement methods work rates, and
Page 505 and 506: Measurement methods HUMIDEX: CAN TH
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Page 509 and 510: Invited presentation Universal Ther
Page 511 and 512: Universal Thermal Climate Index dat
Page 513 and 514: Universal Thermal Climate Index DYN
Page 515 and 516: Universal Thermal Climate Index DIS
Page 517 and 518: Universal Thermal Climate Index COM
Page 519 and 520: Skin temperature (°C) Universal Th
Page 521 and 522: Universal Thermal Climate Index PRO
Page 523 and 524: Universal Thermal Climate Index The
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Page 527 and 528: Universal Thermal Climate Index ima
Page 529 and 530: Universal Thermal Climate Index min
Page 531 and 532: Working environment EFFECTS OF LIGH
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Page 567 and 568: Temperature (C) 35 33 31 29 27 25 2
Page 569 and 570: Working Environment METHODS Student
Page 571 and 572: Working Environment ANTHROPOGENIC I
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Page 575 and 576: Employment Standards VISUAL ACUITY
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Occupational Thermal Problems HORSE
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Occupational Thermal Problems range
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Occupational Thermal Problems PHYSI
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Occupational Thermal Problems DISCU
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Occupational Thermal Problems recom
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DLEmin [hours] 7,0 6,0 5,0 4,0 3,0
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Occupational Thermal Problems EFFEC
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Occupational Thermal Problems PERIP
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Occupational Thermal Problems durin
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Occupational Thermal Problems PRODU
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Time (hours) 4 3,5 3 2,5 2 1,5 1 0,
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Occupational Thermal Problems (Suun
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Occupational Thermal Problems highl
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Occupational Thermal Problems and o
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1) estimated (208 - 0.7 x age) *P
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Occupational Thermal Problems of a
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Occupational Thermal Problems tempe
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Table 1: Environmental conditions o
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Occupational Thermal Problems The h
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Occupational Thermal Problems RESUL
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Occupational Thermal Problems PHYSI
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Occupational Thermal Problems corre
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Occupational Thermal Problems DEVEL
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Occupational Thermal Problems All i
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A Adolfsson Niklas 540 Ainslie Phil
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Kim Myung-Ju 409 Kim Taegyou 189 Kl
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Sormunen Erja 599 Spindler Uli 145
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SPONSOR 641
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