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Journal articles on the topic 'Demand characteristics'

Author: Grafiati

Published: 4 June 2021

Last updated: 13 February 2022

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1

Shkvarchuk, Lyudmyla, and Rostyslav Slav’yuk. "Households’ credit demand: Main trends and characteristics for Ukraine." Banks and Bank Systems 16, no. 3 (August 2, 2021): 13–22. http://dx.doi.org/10.21511/bbs.16(3).2021.02.

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Household demand for credits is quite volatile, which requires constant evaluation of it changes. The purpose of the paper is to identify quantitative signals, the use of which increases the predictability of the credit market development. The study utilizes technical analysis methods for an econometric estimation of trends in household demand for credits in Ukraine for the 2002–2019 period. Based on the analysis of historical market lows, it was argued that with all the negative effects of destabilizing factors, the household demand for loans will not fall below the market support point of UA

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2

Berry, Steven, and Ariel Pakes. "THE PURE CHARACTERISTICS DEMAND MODEL*." International Economic Review 48, no. 4 (December 11, 2007): 1193–225. http://dx.doi.org/10.1111/j.1468-2354.2007.00459.x.

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3

Govern, John M., and Lisa A. Marsch. "Inducing Positive Mood without Demand Characteristics." Psychological Reports 81, no. 3 (December 1997): 1027–34. http://dx.doi.org/10.2466/pr0.1997.81.3.1027.

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The possibility that a state of private self-awareness induced by a small mirror can facilitate the effect of procedures which induce a positive mood was investigated. Participants were 171 female and 60 male undergraduates who were randomly assigned to one of six conditions in a 2 (Mirror vs No-mirror) × 3 (Control vs Velten manipulation vs Music manipulation) design. As predicted, participants who experienced the Velten and Music manipulations in the presence of the mirror reported elevated mood relative to control participants. The mood of participants who experienced the Velten and Music m

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4

L. E. Stetson, G. L. Stark, and K. L. Farrell-Poe. "Electric Demand Characteristics of Nebraska Farmsteads." Transactions of the ASAE 31, no. 1 (1988): 0247–56. http://dx.doi.org/10.13031/2013.30696.

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5

Morley, Clive L. "Tourism Demand: Characteristics, Segmentation and Aggregation." Tourism Economics 1, no. 4 (December 1995): 315–28. http://dx.doi.org/10.1177/135481669500100401.

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This paper aims to advance the understanding of the micro-economic foundations of tourism demand theory, particularly through bringing out some of the implications of the tour characteristics approach to utility analysis, and also through explicitly linking the micro-economic theory of the individual tourist to the aggregate level demand models as actually estimated. Important implications of the tour characteristics theory are that it yields theoretical rationales for the importance of market segmentation of tourism demand, and for tourism product differentiation. Consideration of the aggrega

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6

Siegel, Paul S., Edward A. Konarski, and Scott L. Bernard. "Demand characteristics and the response suppression hypothesis." Bulletin of the Psychonomic Society 24, no. 5 (November 1986): 365–68. http://dx.doi.org/10.3758/bf03330154.

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7

Bezmen, Trisha, and Craig A. Depken, II. "School characteristics and the demand for college." Economics of Education Review 17, no. 2 (April 1998): 205–10. http://dx.doi.org/10.1016/s0272-7757(97)00025-3.

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8

Tian, Jing-Jing, Dong-Fan Xie, and Fu-Jun Ding. "Mining Spatiotemporal Characteristics of Car-sharing Demand." Journal of Physics: Conference Series 1187, no. 5 (April 2019): 052047. http://dx.doi.org/10.1088/1742-6596/1187/5/052047.

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9

Davies, John B., and David W. Best. "Demand characteristics and research into drug use." Psychology & Health 11, no. 2 (February 1996): 291–99. http://dx.doi.org/10.1080/08870449608400258.

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10

Baltas, George, and Paraskevas C. Argouslidis. "Consumer characteristics and demand for store brands." International Journal of Retail & Distribution Management 35, no. 5 (May 2007): 328–41. http://dx.doi.org/10.1108/09590550710743708.

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11

Ohe, Yasuo. "Accessing demand characteristics of agritourism in Italy." Tourism and hospitality management 18, no. 2 (2012): 281–96. http://dx.doi.org/10.20867/thm.18.2.8.

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The purpose – The aim of this paper is to investigate the demand characteristics of agritourism in Italy, which has not been fully investigated despite the relatively high number of the supply-side studies on the Italian agritourism. Design – First this paper conceptually characterized the features of agritourism as the old and modern types and outlined the trend of supply and demand in agritourism in Italy in comparison with Japan. Second, this paper statistically examined the characteristics in the demand side for agritourism in Italy in comparison with tourism demand in general, such as tha

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12

Jędrych, Anna, and Małgorzata Krzywnicka. "Stimulation Demand Characteristics of the Students of the Polish Air Force Academy in Dęblin." Polish Journal of Aviation Medicine and Psychology 19, no. 4 (October 2, 2013): 31–34. http://dx.doi.org/10.13174/pjamp.19.04.2013.5.

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13

Rajbhandhari, Utsav Shree, Laxman Poudel, and Nawraj Bhattarai. "Demand Characteristics of Electricity in Residential Sector of Kathmandu Valley." Journal of the Institute of Engineering 15, no. 3 (October 16, 2020): 275–84. http://dx.doi.org/10.3126/jie.v15i3.32196.

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Planning for electricity demand is a vital as the characteristics of different electricity generation systems vary temporally – both hourly in a day as well as seasonally in a year. Thus, this study focuses on evaluating the demand characteristic of electricity in residential sector within urban boundaries of three districts in Kathmandu Valley. It has addressed variations in demand in form of load curve based on hourly peak demand during a day. The demand characteristics have been affected in recent years are primarily influenced by two factors – the trade debacle in 2015 and the end of load-

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14

Potrashkova, Lyudmyla. "Some models of demand for benefits, offered by an enterprise." Economics of Development 17, no. 3 (November 29, 2018): 30–41. http://dx.doi.org/10.21511/ed.17(3).2018.03.

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The activities of an enterprise are based on constant exchanges of material and nonmaterial goods with its stakeholders. According to the stakeholder concept, there are common features in the processes of enterprise’s interaction with different groups of stakeholders. For example, common patterns can be found in the behavior of two primary stakeholders groups – buyers and employees. Each actor of these stakeholder groups makes a choice between enterprises on the bases of characteristics of goods (products or working conditions), which are provided by these enterprises, and their own preference

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15

Lin, Adrian Xi, Andrew Fu Wah Ho, Kang Hao Cheong, Zengxiang Li, Wentong Cai, Marcel Lucas Chee, Yih Yng Ng, Xiaokui Xiao, and Marcus Eng Hock Ong. "Leveraging Machine Learning Techniques and Engineering of Multi-Nature Features for National Daily Regional Ambulance Demand Prediction." International Journal of Environmental Research and Public Health 17, no. 11 (June 11, 2020): 4179. http://dx.doi.org/10.3390/ijerph17114179.

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The accurate prediction of ambulance demand provides great value to emergency service providers and people living within a city. It supports the rational and dynamic allocation of ambulances and hospital staffing, and ensures patients have timely access to such resources. However, this task has been challenging due to complex multi-nature dependencies and nonlinear dynamics within ambulance demand, such as spatial characteristics involving the region of the city at which the demand is estimated, short and long-term historical demands, as well as the demographics of a region. Machine learning t

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16

Morvay, Karakas. "Satisfaction and characteristics of Airbnb demand in Budapest." Zbornik radova Departmana za geografiju, turizam i hotelijerstvo, no. 46-2 (2017): 76–88. http://dx.doi.org/10.5937/zbdght1702076m.

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17

Wu, Shi Mei, Yu Long Pei, and Guo Zhu Cheng. "Characteristics of Transport Demand in Dense Urban Group." Advanced Materials Research 838-841 (November 2013): 2103–6. http://dx.doi.org/10.4028/www.scientific.net/amr.838-841.2103.

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Dense urban group is the inevitable product of relative developed stage of economic and social development. In order to ensure the sustainable development of dense urban group and provide a basis for formulating the transportation infrastructure of scientific development planning, this paper analyzed the traffic demand characteristics in dense urban group. The paper makes use of the statistic analysis method to analyze traffic demand characteristics, especially travel intensity, travel modaltrip time consume and trip distance. It can be concluded that trip number per person and traffic connect

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18

Brew, Kerry, Taylar Clark, Jordan Feingold-Link, and Hilary Barth. "Do demand characteristics contribute to minimal ingroup preferences?" Journal of Experimental Child Psychology 204 (April 2021): 105043. http://dx.doi.org/10.1016/j.jecp.2020.105043.

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19

Akil, Yusri Syam. "Seasonal Peak Electricity Demand Characteristics: Japan Case Study." International Journal of Energy and Power Engineering 2, no. 3 (2013): 136. http://dx.doi.org/10.11648/j.ijepe.20130203.18.

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20

Kataoka, H. "Design concept and material demand characteristics of rail." Welding International 22, no. 6 (June 2008): 411–15. http://dx.doi.org/10.1080/09507110802285268.

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21

Timko, Christine, Katherine Yu, and Rudolf H. Moos. "Demand characteristics of residential substance abuse treatment programs." Journal of Substance Abuse 12, no. 4 (December 2000): 387–403. http://dx.doi.org/10.1016/s0899-3289(01)00056-6.

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22

Hong, Hyunchul, Wonjin Kim, Jeongyun Kim, and Bacek-Jo Kim. "Analysis of Demand Characteristics for Long-term Forecasts." Journal of Climate Research 8, no. 2 (June 30, 2013): 117–26. http://dx.doi.org/10.14383/cri.2013.8.2.117.

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23

Xia, Yixun, Alondra Rivera-Quintero, Eduardo Calderon, Fang Zhong, and Michael O'Mahony. "Paired Preference Tests with Reversed Hidden Demand Characteristics." Journal of Sensory Studies 29, no. 2 (March 11, 2014): 149–58. http://dx.doi.org/10.1111/joss.12090.

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24

Follain, James R., and Emmanuel Jimenez. "The Demand for Housing Characteristics in Developing Countries." Urban Studies 22, no. 5 (October 1985): 421–32. http://dx.doi.org/10.1080/00420988520080731.

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25

Ohsfeldt, Robert L. "Implicit markets and the demand for housing characteristics." Regional Science and Urban Economics 18, no. 3 (August 1988): 321–43. http://dx.doi.org/10.1016/0166-0462(88)90012-9.

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26

Nichols, Austin Lee, and Jon K. Maner. "The Good-Subject Effect: Investigating Participant Demand Characteristics." Journal of General Psychology 135, no. 2 (April 2008): 151–66. http://dx.doi.org/10.3200/genp.135.2.151-166.

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27

Grillon, Christian, and Edouard Zarifian. "Hoffmann reflex variations produced by task demand characteristics." Physiology & Behavior 34, no. 2 (February 1985): 213–16. http://dx.doi.org/10.1016/0031-9384(85)90108-8.

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28

Mahyuddin, Tamzil Ibrahim, and A. N. Fadyah. "Characteristics of brown rice demand in Makassar City." IOP Conference Series: Earth and Environmental Science 681, no. 1 (March 1, 2021): 012114. http://dx.doi.org/10.1088/1755-1315/681/1/012114.

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29

Ansah, Isaac Gershon Kodwo, Emmanuel Marfo, and Samuel Arkoh Donkoh. "Food demand characteristics in Ghana: An application of the quadratic almost ideal demand systems." Scientific African 8 (July 2020): e00293. http://dx.doi.org/10.1016/j.sciaf.2020.e00293.

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30

Roy, Debarpita. "Housing demand in Indian metros: a hedonic approach." International Journal of Housing Markets and Analysis 13, no. 1 (May 10, 2018): 19–55. http://dx.doi.org/10.1108/ijhma-04-2017-0041.

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Purpose This paper aims to understand housing demand of urban Indian households in terms of housing and household-level characteristics. Because a house is a bundle of certain characteristics which vary across houses, each characteristic has an implicit price. Finding this implicit price for certain important characteristics is the first objective of this study. The second objective of the paper is to compute the income elasticity and price elasticity of housing demand for these cities. Design/methodology/approach To achieve comparable estimates, household-level data from India’s National Samp

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31

van der Burg, Robbert-Jan, Kees Ahaus, Hans Wortmann, and George B. Huitema. "Investigating the on-demand service characteristics: an empirical study." Journal of Service Management 30, no. 6 (December 2, 2019): 739–65. http://dx.doi.org/10.1108/josm-01-2019-0025.

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Purpose Technological developments and new customer expectations of immediacy have driven businesses to adopt on-demand service models. The purpose of this paper is to study the characteristics of a range of on-demand services in order to better understand the meaning of “on-demand” and its implications for service management. This enables the on-demand service logic to be applied to other service contexts, where it may add value for customers. Design/methodology/approach The study starts with a focused literature review and continues with a multiple case study methodology, as the on-demand se

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32

Paiva, Patrícia Reis, Nair Heloisa Bicalho de Sousa, and Diogo Onofre Gomes de Souza. "CARACTERÍSTICAS DO PROGRAMA DE DEMANDA SOCIAL DA CAPES / CHARACTERISTICS OF THE CAPES SOCIAL DEMAND PROGRAM." Brazilian Journal of Development 7, no. 1 (2021): 2050–65. http://dx.doi.org/10.34117/bjdv7n1-140.

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33

Gorbunov, Vladimir K., and Alexander G. Lvov. "Inverse problem of the market demand theory and analytical indices of demand." Zhurnal Srednevolzhskogo Matematicheskogo Obshchestva 21, no. 1 (March 30, 2019): 89–110. http://dx.doi.org/10.15507/2079-6900.21.201901.89-110.

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The inverse problem of the market demand's theory is constructing a collective utility function via a trade statistics consisting of a finite set of pairs ``prices-quantities''. The main computational problem here is the solution of the Afriat's inequalities system, which determines the values of the utility function and the Lagrange multiplier on the trade statistics data, which are ``Afriat's numbers''. This inverse problem is ill-posed one because of multiplicity of inequalities system's solutions and also because of their possible inconsistency and instability. A regularization method for

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34

Wei, Feng, Shou Wei Zhang, and You Hua Ge. "High Speed Dynamic Characteristics Research for LL680 Flexible Rapier Loom." Advanced Materials Research 850-851 (December 2013): 274–78. http://dx.doi.org/10.4028/www.scientific.net/amr.850-851.274.

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The textile industry is China's traditional advantage industry. The demands of the textile industry productions efficiency and cost control are much higher than before. LL680 loom frames finite element model was made and analyzed for the companys demand of high-speed improvement, then used experiment to verify. The results show that the modeling method is right and it provide a viable model for structural improvement.

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35

Nababan, Tongam Sihol. "Household Characteristics That Influence Simple Household Demand on Electricity." Jurnal Ekonomi Pembangunan: Kajian Masalah Ekonomi dan Pembangunan 16, no. 1 (August 29, 2015): 61. http://dx.doi.org/10.23917/jep.v16i1.938.

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This research aims to analyze the characteristics of households that affect the electric energy consumption of simple households. The second objective is to analyze the probability of each of the factors affecting the electricity energy consumption of small household. The research was conducted in Medan City in the period of March 2014 to November 2014 with samples of 143 small households, the customer of PT. PLN (Persero) Medan, which use the power of electricity for TR-1 /450VA. Data were analyzed by using the logistic regression model. The estimation results indicated that (1) the higher th

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36

Chen, Zhengqi, Yingyun Sun, Ai Xin, Sarmad Majeed Malik, and Liping Yang. "Integrated Demand Response Characteristics of Industrial Park: A Review." Journal of Modern Power Systems and Clean Energy 8, no. 1 (2020): 15–26. http://dx.doi.org/10.35833/mpce.2018.000776.

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37

Petras, Elizabeth McLean, and Maria Kousis. "Returning Migrant Characteristics and Labor Market Demand in Greece." International Migration Review 22, no. 4 (1988): 586. http://dx.doi.org/10.2307/2546347.

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38

Vivek S., Belekar. "Study of Urban Travel Demand Characteristics of Twin City." International Journal for Research in Applied Science and Engineering Technology V, no. III (March 13, 2017): 177–84. http://dx.doi.org/10.22214/ijraset.2017.3033.

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39

Gouvier, W. "Demand characteristics affect performance in mild head injury research." Archives of Clinical Neuropsychology 13, no. 1 (February 1998): 137–38. http://dx.doi.org/10.1016/s0887-6177(98)90628-x.

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40

Ronzani, Giovanna Miceli, and Anderson Ribeiro Correia. "Impact of demand and airport characteristics on baggage claim." Proceedings of the Institution of Civil Engineers - Transport 168, no. 2 (April 2015): 150–60. http://dx.doi.org/10.1680/tran.12.00048.

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41

Greenwald, Zoë, Mariève Beauchemin, Louise Charest, Stéphane Lavoie, Alexandra Hamel, Danièle Longpré, and Réjean Thomas. "Understanding characteristics of daily and on-demand PrEP prescriptions." Journal of Virus Eradication 4 (May 2018): 11–12. http://dx.doi.org/10.1016/s2055-6640(20)30377-0.

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42

Levran, I., and A. Baror. "Characteristics of supply and demand in community physiotherapy services." Physiotherapy 101 (May 2015): e863-e864. http://dx.doi.org/10.1016/j.physio.2015.03.1689.

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43

Boysen, Ole. "Food Demand Characteristics in Uganda: Estimation and Policy Relevance." South African Journal of Economics 84, no. 2 (May 20, 2015): 260–93. http://dx.doi.org/10.1111/saje.12093.

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44

Chaiamarit, Kunjana, and Somboon Nuchprayoon. "Impact assessment of renewable generation on electricity demand characteristics." Renewable and Sustainable Energy Reviews 39 (November 2014): 995–1004. http://dx.doi.org/10.1016/j.rser.2014.07.102.

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45

Cheshire, Paul, and Stephen Sheppard. "Estimating the Demand for Housing, Land, and Neighbourhood Characteristics." Oxford Bulletin of Economics and Statistics 60, no. 3 (August 1998): 357–82. http://dx.doi.org/10.1111/1468-0084.00104.

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46

Gouvier, W. D., M. P. S. Maria, J. B. Pinkston, C. M. Morrow, S. R. Miller, K. Carmena, B. Hanna-Pladdy, and R. Plum. "Demand characteristics affect performance in mild head injury research." Archives of Clinical Neuropsychology 13, no. 1 (February 1, 1998): 137–38. http://dx.doi.org/10.1093/arclin/13.1.137a.

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47

Brusco, Michael J., and T. Reid Johns. "The effect of demand characteristics on labour scheduling methods." International Journal of Operations & Production Management 15, no. 1 (January 1995): 74–88. http://dx.doi.org/10.1108/01443579510077232.

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48

KAR, Mikail. "CHARACTERISTICS OF MOBILE COMMUNICATION DEMAND: THE CASE OF TURKEY." Bolu Abant İzzet Baysal Üniversitesi Sosyal Bilimler Enstitüsü Dergisi 19, no. 2 (July 13, 2019): 327–46. http://dx.doi.org/10.11616/basbed.v19i47045.547585.

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49

HEISE, GARY D., and PHILIP E. MARTIN. "???Leg spring??? characteristics and the aerobic demand of running." Medicine & Science in Sports & Exercise 30, no. 5 (May 1998): 750–54. http://dx.doi.org/10.1097/00005768-199805000-00017.

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50

Gul, Ferdinand A., and Ang Bee Lian. "The Effects of Demand Characteristics in Auditor Independence Studies." Asia-Pacific Journal of Accounting 1, no. 1 (December 1994): 133–46. http://dx.doi.org/10.1080/10293574.1994.10510470.

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