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Journal articles on the topic 'Demand'

Author: Grafiati

Published: 4 June 2021

Last updated: 25 July 2025

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1

Lager, James M. "Governments demand compliance, ethics demands leadership." Journal of Public Affairs 10, no. 3 (2010): 216–24. http://dx.doi.org/10.1002/pa.361.

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2

Baird, Sarah, Craig McIntosh, and Berk Özler. "The regressive demands of demand-driven development." Journal of Public Economics 106 (October 2013): 27–41. http://dx.doi.org/10.1016/j.jpubeco.2013.07.002.

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3

Vargas-Contreras, Eunice, Ana Lucía Jiménez-Pérez, Raúl Alejandro Gutiérrez-García, and Kalina Isela Martínez-Martínez. "The clinical psychologist and evidence-based practice in Mexico: Passing fad or pressing need?" Gaceta Médica de Caracas 129, s1 (2021): 203–12. http://dx.doi.org/10.47307/gmc.2021.129.s1.23.

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Implementing Evidence-based practices entails a demand not only on the clinician and professional training but also a demand on the institutional economic, material, and human resources. Such demands can be either facilitator of the processor, in some cases, major barriers. La implementación de la Práctica con Base en la Evidencia implica una demanda no solo en la formación profesional y clínica, sino también en recursos institucionales económicos, materiales y humanos.

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4

Janda, K., J. Mikolášek, and M. Netuka. "Complete almost ideal demand system approach to the Czech alcohol demand." Agricultural Economics (Zemědělská ekonomika) 56, No. 9 (2010): 421–34. http://dx.doi.org/10.17221/117/2009-agricecon.

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Tax interventions into alcohol beverages market are an important and recently discussed tool of the Czech fiscal policy. The impact of any such measure would be strongly dependent on the microeconomic behavior of the consumers. The aim of this paper is to provide a reliable set of income, own-price, and cross-price elasticities of demand for the key alcohol beverages based on the Almost Ideal Demand System model applied on the most relevant Czech data set of the Household Budget Statistics.

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5

Yang, Kyeong-Seung. "The Identity and Individuality of Demand, Jointed Demands." Justice 164 (February 28, 2018): 81–116. http://dx.doi.org/10.29305/tj.2018.02.164.81.

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6

Yamashita, Seigo, and Wynn R. Walker. "Command Area Water Demands. II: Water‐Demand Function." Journal of Irrigation and Drainage Engineering 120, no. 6 (1994): 1043–55. http://dx.doi.org/10.1061/(asce)0733-9437(1994)120:6(1043).

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7

Farm, Ante. "Labor demand and product demand." Journal of Post Keynesian Economics 43, no. 4 (2020): 634–39. http://dx.doi.org/10.1080/01603477.2020.1794905.

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8

Jung, Koeun, Yoonki Min, and Suk Won Han. "Response of multiple demand network to visual search demands." NeuroImage 229 (April 2021): 117755. http://dx.doi.org/10.1016/j.neuroimage.2021.117755.

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9

Kyonghee Han. "Who demands the Survey of Industry Demand?: Paradox of Demand-Based Engineering Education Under Catch-up Paradigm." Journal of Engineering Education Research 19, no. 4 (2016): 72–82. http://dx.doi.org/10.18108/jeer.2016.19.4.72.

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10

Hupková, D., P. Bielik, and N. Turčeková. "Structural changes in the beef meat demand in Slovakia and demand elasticity estimation." Agricultural Economics (Zemědělská ekonomika) 55, No. 8 (2009): 361–67. http://dx.doi.org/10.17221/41/2009-agricecon.

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The article focuses on assessing the consumer habits attitudes and behaviour towards the beef meat demand. The main objective of this study is to investigate the determinants of the households’ beef meat consumption using the main economic factors. Determining and analysis of consumer behaviour on the individual household categories level and the subsequent comparison of impact factors on consumer decision will give us an assumption to the complex understanding of the consumer behaviour determinants. We used panel data to estimate the beef meat demand in Slovakia. The data were obtained from t

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11

Camiscioli, Elisa, and Eva Payne. "Demand." Radical History Review 2024, no. 149 (2024): 111–32. http://dx.doi.org/10.1215/01636545-11027509.

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Abstract This article traces how social reformers, state actors, physicians, feminists, and people who sell sex have described the demand for prostitution, a term that has provided ideological support for policy approaches both supporting and opposing commercial sex over the last two centuries. In Europe, the United States, and more globally, critics have employed demand in an ostensibly neutral sense to suggest that sex functions like a commodity. For some it is the inevitable result of an inherent male sexual drive, while for others it is the mutable product of social, economic, and cultural

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12

Elkasrawy, Ayman, and Bala Venkatesh. "Demand Response Cooperative and Demand Charge." IEEE Transactions on Smart Grid 11, no. 5 (2020): 4167–75. http://dx.doi.org/10.1109/tsg.2020.2979435.

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13

O'Reilly, Brian T. "Producer demand charges demand producer protests." Natural Gas 7, no. 6 (2008): 14–16. http://dx.doi.org/10.1002/gas.3410070605.

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14

Tsurikov, Vladimir. "Demand, law of demand, Giffen and Veblen effects. Part 2. Non-functional demand and demand puzzles." Theoretical economics, no. 11 (December 29, 2024): 12–33. https://doi.org/10.52957/2221-3260-2024-11-12-33.

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The present work is a brief review of domestic educational and scientific literature upon the issues of non-functional (according to Leibenstein’s classification) demand. To take into account the influence of social factors, the concept of conspicuous consumption by T. Veblen is used. Attention is paid to inaccurate and controversial statements found in literature, as well as to cases of incorrect interpretation of some types of non-functional demand formed under the influence of social determinants. First of all, this refers to the practice of incorrectly interpreting the Veblen effect as an

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15

Roberts, Christine, Louise Phillips, Clare Cooper, Stuart Gray, Roy Soiza, and Julia Allan. "Classifying the non-metabolic demands of different physical activity types: The Physical Activity Demand (PAD) typology." PLOS ONE 18, no. 10 (2023): e0291782. http://dx.doi.org/10.1371/journal.pone.0291782.

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Different physical activity types vary in metabolic demand (intensity), but also in non-metabolic physical demand (balance, co-ordination, speed and flexibility), cognitive demand (attention, memory and decision making), and social demand (social interaction). Activity types with different combinations of demands may have different effects on health outcomes but this cannot be formally tested until such demands can be reliably quantified. The present Delphi expert consensus study aimed to objectively quantify the cognitive, physical and social demands of different core physical activity types

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16

Martins-Oliveira, Angele Tatiane. "Human Demand for Natural Resources." International Journal of Zoology and Animal Biology 5, no. 5 (2022): 1. http://dx.doi.org/10.23880/izab-16000406.

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The growing exponential curve representative of the world’s human population has driven the increase in demand for natural resources, which can be due to human needs and the contemporary way of life largely focused on capitalism

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17

Fisher, Douglas. "Money-Demand Variability: A Demand-Systems Approach." Journal of Business & Economic Statistics 10, no. 2 (1992): 143. http://dx.doi.org/10.2307/1391673.

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18

Frasco, Gregg P. "The Kinked Demand Curve When Demand Shifts." Journal of Economic Education 24, no. 2 (1993): 137–43. http://dx.doi.org/10.1080/00220485.1993.10844787.

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19

Fisher, Douglas. "Money-Demand Variability: A Demand-Systems Approach." Journal of Business & Economic Statistics 10, no. 2 (1992): 143–51. http://dx.doi.org/10.1080/07350015.1992.10509894.

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20

LaFrance, Jeffrey T. "INCOMPLETE DEMAND SYSTEMS AND SEMILOGARITHMIC DEMAND MODELS." Australian Journal of Agricultural Economics 34, no. 2 (1990): 118–31. http://dx.doi.org/10.1111/j.1467-8489.1990.tb00697.x.

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21

Leung, Pingsun, and Walter Miklius. "Demand for nutrition vs. demand for tastes." Applied Economics Letters 4, no. 5 (1997): 291–95. http://dx.doi.org/10.1080/758532595.

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22

Greenfield, Harry. "Surrogate Demand: A Note on Demand Theory." Challenge 43, no. 6 (2000): 109–14. http://dx.doi.org/10.1080/05775132.2000.11472183.

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23

van Herpen, Erica, Rik Pieters, and Marcel Zeelenberg. "When demand accelerates demand: Trailing the bandwagon☆." Journal of Consumer Psychology 19, no. 3 (2009): 302–12. http://dx.doi.org/10.1016/j.jcps.2009.01.001.

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24

Goungetas, Basile P., Helen H. Jensen, and Stanley R. Johnson. "Food demand projections using full demand systems." Food Policy 18, no. 1 (1993): 55–63. http://dx.doi.org/10.1016/0306-9192(93)90096-t.

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25

Frasco, Gregg P. "The Kinked Demand Curve When Demand Shifts." Journal of Economic Education 24, no. 2 (1993): 137. http://dx.doi.org/10.2307/1183162.

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26

Gillam, S., and D. Pencheon. "Managing demand: Managing demand in general practice." BMJ 316, no. 7148 (1998): 1895–98. http://dx.doi.org/10.1136/bmj.316.7148.1895.

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27

HIGASHI, Shogo, Reina KAWASE, and Yuzuru MATSUOKA. "A STUDY ON WORLD STEEL DEMANDS CONSIDERING SERVICE DEMAND CHANGE." Journal of Japan Society of Civil Engineers, Ser. G (Environmental Research) 68, no. 5 (2012): I_15—I_24. http://dx.doi.org/10.2208/jscejer.68.i_15.

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28

Liu, Fangming, Bo Li, Baochun Li, and Hai Jin. "Peer-Assisted On-Demand Streaming: Characterizing Demands and Optimizing Supplies." IEEE Transactions on Computers 62, no. 2 (2013): 351–61. http://dx.doi.org/10.1109/tc.2011.222.

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29

Zhao, Yingxue, Tsan-Ming Choi, T. C. E. Cheng, Suresh P. Sethi, and Shouyang Wang. "Buyback contracts with price-dependent demands: Effects of demand uncertainty." European Journal of Operational Research 239, no. 3 (2014): 663–73. http://dx.doi.org/10.1016/j.ejor.2014.06.008.

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30

Rodina, Galina, and Vladimir Rodin. "Non-functional demand model vs functional demand model: prospects for competitiveness in a transforming world." JOURNAL OF REGIONAL AND INTERNATIONAL COMPETITIVENESS 5, no. 1 (2024): 4–13. http://dx.doi.org/10.52957/2782-1927-2024-5-1-4-13.

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The purpose of the article is to analyse the problem of changing the relationship between non-functional and functional demand. The main task of the presented research is to define the most competitive model (based on functional or non-functional demand) of consumer behaviour in the conditions of the economy of the 20s of the XXI century. To solve this problem, we studied the structure of consumer demand: functional and non-functional ones. We identified the features of non-functional demand, and considered the reasons for its expansion in modern society. Moreover, paper highlights fixing chan

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31

Kandananond, Karin. "Applying Kalman Filter for Correlated Demand Forecasting." Applied Mechanics and Materials 619 (August 2014): 381–84. http://dx.doi.org/10.4028/www.scientific.net/amm.619.381.

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Product demands are known to be serially correlated. In this research, a first order autoregressive model, AR (1), is utilized to simulate product demand processes whose behavior are stationary. Since demand forecasting is important to the efficiency improvement of product supply chain system, different forecasting techniques are utilized to predict product demand. In this research, Kalman filter is deployed to forecast demand simulated by AR (1) model. Product demands are simulated at the different degrees of autoregressive coefficients. After the application of Kalman filter to the designate

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32

Sheng, Pengfei, Tingting Yang, and Tengfei Zhang. "The Unmet Medical Demand among China’s Urban Residents." International Journal of Environmental Research and Public Health 18, no. 21 (2021): 11708. http://dx.doi.org/10.3390/ijerph182111708.

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Our work aimed to build a reasonable proxy for unmet medical demands of China’s urban residents. We combined health demand modeling and stochastic frontier analysis to produce a frontier medical demand function, which allowed us to disentangle unmet medical demands from the unobservable effects. We estimated unmet medical demands by using China’s provincial dataset that covered 2005–2018. Our estimates showed that unmet medical demand at the national level was 12.6% in 2018, and regions with high medical prices confronted more unmet medical demands than regions with moderate or low medical pri

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33

Pasqualetto, Antonio, Alan Gabriel Natã Pasqualetto, Thales Luan Lucas Pasqualetto, and Thiago Augusto Mendes. "Water Resources Availability and Demand in Brazil / Disponibilidade e demanda de recursos hídricos no Brasil." Informe GEPEC 26, no. 1 (2022): 46–61. http://dx.doi.org/10.48075/igepec.v26i1.27755.

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The aim of this work is to analyze the availability and uses of water in Brazil, ensuring a balance between supply and demand for the necessary activities. A comprehensive review of the subject was carried out and water availability and demand data were collected. The scenario of water availability on demand in Brazil, between 1931 and 2030, was outlined, carrying out a diagnosis of the main demands for activities and needs. Twelve municipalities were selected, and their data were analyzed and compared by activity and region. The results showed that the supply and demand for water in Brazil va

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34

Gupta, Akshay, and Helmut Krawinkler. "Relating the Seismic Drift Demands of SMRFs to Element Deformation Demands." Engineering Journal 39, no. 2 (2002): 100–108. http://dx.doi.org/10.62913/engj.v39i2.773.

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A procedure is outlined and evaluated for estimation of beam and panel zone deformation demands for given estimates of story drift demands for regular steel moment resisting frame (SMRF) structures. The total story drift demand is related to the story plastic drift demand by estimating the story yield drift based on the weakest element at the connection. The story plastic drift demand is related to the panel zone and beam plastic deformation demands by a function based on story geometry and member properties. The procedure is verified for a series of code compliant SMRFs. It complements a proc

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35

Deng, Wanying. "Analysis of the Factors Affecting the Price Fluctuation of Bitcoin." Advances in Economics, Management and Political Sciences 3, no. 1 (2023): 536–47. http://dx.doi.org/10.54254/2754-1169/3/2022832.

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According to the monetary theory, this paper believes that the demand for Bitcoin mainly includes two aspects: transaction demand and investment demand. This paper further discusses the impact of different demands on the price of Bitcoin based on two aspects of demand. Transaction demand and investment demand together affect the supply and demand relationship of the Bitcoin market. The empirical results show that the volatility of Bitcoin price is higher than that of international currencies and stocks as investment tools. This article emphasizes that the price of Bitcoin is primarily affected

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36

Tsurikov, Vladimir. "Demand, the law of demand, Giffen and Veblen effects. Part 1. Functional demand." Theoretical economics, no. 10 (December 24, 2024): 21–42. https://doi.org/10.52957/2221-3260-2024-10-21-42.

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This paper provides a concise review of national educational and scientific literature addressing the law of demand and its exceptions. It critically examines common inaccuracies, misconceptions, and misinterpretations, particularly regarding the law of demand and the Giffen effect. The analysis identifies two prevalent sources of error. The first is a careless formulation of the law of demand, often expressed as an inverse proportionality between the demand for a good and its price. This misunderstanding likely stems from translations of the widely used study guide by C. McConnell and S. Brue

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37

Almeida, Sérgio Neri de, and José Helvécio Martins. "ANÁLISE DO PROCESSO DE PREDIÇÃO DE DEMANDA DE PEÇAS DE REPOSIÇÃO COM DEMANDA INTERMITENTE / ANALYSIS OF THE SPARE PARTS DEMAND PREDICTION PROCESS WITH INTERMITTENT DEMAND." Brazilian Journal of Development 6, no. 9 (2020): 66882–904. http://dx.doi.org/10.34117/bjdv6n9-212.

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38

Lin, Adrian Xi, Andrew Fu Wah Ho, Kang Hao Cheong, et al. "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 (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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39

Wang, Xiaoguang, Tao Lv, and Lei Fan. "New Energy Vehicle Consumer Demand Mining Research Based on Fusion Topic Model: A Case in China." Sustainability 14, no. 6 (2022): 3316. http://dx.doi.org/10.3390/su14063316.

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This study extracted the demand preference topic words of new energy vehicle consumers with the help of the topic model, calculated the similarity between the word vectors and the topic keywords and expanded the topic keywords, analyzed and compared the demand topics and feature expansion words of different car models, and summarized the demand differences of other consumer groups. The analysis results show that consumers’ demands of different groups have the exact demand dimensions such as new energy features and brand features, and different demand dimensions such as application, services, a

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40

Lewbel, Arthur, and Krishna Pendakur. "Tricks with Hicks: The EASI Demand System." American Economic Review 99, no. 3 (2009): 827–63. http://dx.doi.org/10.1257/aer.99.3.827.

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We invent Implicit Marshallian demands, which combine desirable features of Hicksian and Marshallian demands. We propose and estimate the Exact Affine Stone Index (EASI) implicit Marshallian demand system. Like the Almost Ideal Demand (AID) system, EASI budget shares are linear in parameters given real expenditures. However, unlike the AID, EASI demands can have any rank and its Engel curves can have any shape over real expenditures. EASI error terms equal random utility parameters to account for unobserved preference heterogeneity. EASI demand functions can be estimated using GMM or three sta

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41

Howell, J. "High demand." Nursing Standard 2, no. 22 (1988): 48. http://dx.doi.org/10.7748/ns.2.22.48.s75.

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42

Leifer, Dina. "Creating demand." Nursing Standard 10, no. 26 (1996): 13. http://dx.doi.org/10.7748/ns.10.26.13.s26.

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43

Robson, Martin T., and Daniel S. Hamermesh. "Labor Demand." Economic Journal 104, no. 424 (1994): 688. http://dx.doi.org/10.2307/2234647.

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44

Kravitz, A. S. "Supplying demand." British Dental Journal 201, no. 7 (2006): 417. http://dx.doi.org/10.1038/sj.bdj.4814129.

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45

Ufkin, Lorrie, and Paula C. Horner. "Managing Demand." Journal of Developmental & Behavioral Pediatrics 27, no. 5 (2006): 433–34. http://dx.doi.org/10.1097/00004703-200610000-00031.

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46

Bell, H. A. "Demand Management." Measurement and Control 26, no. 1 (1993): 10–13. http://dx.doi.org/10.1177/002029409302600103.

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47

Dylewski, Joe. "In Demand." Infectious Diseases in Clinical Practice 26, no. 2 (2018): 119. http://dx.doi.org/10.1097/ipc.0000000000000592.

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48

Stephens, C. D. "Orthodontic demand." British Dental Journal 165, no. 4 (1988): 120. http://dx.doi.org/10.1038/sj.bdj.4806535.

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49

Radner, Roy. "Viscous demand." Journal of Economic Theory 112, no. 2 (2003): 189–231. http://dx.doi.org/10.1016/s0022-0531(03)00115-7.

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50

Edser, Caroline. "Meeting demand?" Focus on Surfactants 2006, no. 4 (2006): 1–2. http://dx.doi.org/10.1016/s1351-4210(06)71111-8.

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