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1

THOMPSON, MERYL. "Re-modelling as De-professionalisation." FORUM 48, no. 2 (2006): 189. http://dx.doi.org/10.2304/forum.2006.48.2.189.

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Toma-Dasu, I. "SP-0986 Modelling (re) oxygenation." Radiotherapy and Oncology 170 (May 2022): S855—S856. http://dx.doi.org/10.1016/s0167-8140(22)04093-2.

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3

Malgor, R. D., and N. Labropoulos. "Re-modelling of venous thrombosis." Phlebology: The Journal of Venous Disease 28, no. 1_suppl (March 2013): 25–28. http://dx.doi.org/10.1177/0268355513476638.

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Venous thromboembolism is one of the most common causes of morbidity and mortality in modern societies. The entirety of events involved in venous thrombus formation and resolution remains to be elucidated. Temporal relation between the initial cellular insult, thrombus formation and resolution is critical for instituting a prompt treatment. This paper analyses the current basic knowledge and the events involved in venous remodelling after an episode of venous thrombosis.
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4

Chang, Chenguang. "Modelling translation as re-instantiation." Perspectives 26, no. 2 (September 27, 2017): 166–79. http://dx.doi.org/10.1080/0907676x.2017.1369553.

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5

Orrequia-Barea, Aroa, and Encarnación Almazán Ruiz. "Modelling through Modality: (Re)shaping Brexit." ES Review. Spanish Journal of English Studies, no. 42 (November 9, 2021): 127–53. http://dx.doi.org/10.24197/ersjes.42.2021.127-153.

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Due to Brexit, the UK has been involved in a continuous political debate between Boris Johnson, the Prime Minister, and Jeremy Corbyn, the leader of the opposition. This paper compares and analyses the modality used in a corpus consisting of their political speeches until Brexit day. Modal verbs are used to express ability, possibility, willingness, certainty, obligation and necessity. Politicians’ choice of certain words can be a useful tool to affect voters’ decisions and modality is a resource which reinforces that influence. The findings show remarkable similarities between both politicians and reveal that possibility is the most frequent meaning of the modal verbs used in the corpus.
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Kolacinski, Z. "Modelling of short arc re-ignition." Journal of Physics D: Applied Physics 26, no. 11 (November 14, 1993): 1941–47. http://dx.doi.org/10.1088/0022-3727/26/11/016.

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7

Tskhakaya, D., and M. Groth. "Modelling of tungsten re-deposition coefficient." Journal of Nuclear Materials 463 (August 2015): 624–28. http://dx.doi.org/10.1016/j.jnucmat.2014.10.086.

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8

Tsalgatidou, Aphrodite, and Stefan Junginger. "Modelling in the re-engineering process." ACM SIGOIS Bulletin 16, no. 1 (August 1995): 17–24. http://dx.doi.org/10.1145/209891.209896.

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9

De Vreede, G. J., D. T. T. Van Eijck, and H. G. Sol. "Dynamic Modelling For Re-Engineering Organizations." INFOR: Information Systems and Operational Research 34, no. 1 (February 1996): 28–42. http://dx.doi.org/10.1080/03155986.1996.11732291.

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10

Allen, David. "Book Review: Re-Modelling Biblical Hermeneutics." Expository Times 130, no. 3 (November 7, 2018): 136–37. http://dx.doi.org/10.1177/0014524618809305.

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11

Irani, Zahir, Vlatka Hlupic, Lynne P. Baldwin, and Peter E. D. Love. "Re‐engineering manufacturing processes through simulation modelling." Logistics Information Management 13, no. 1 (February 2000): 7–13. http://dx.doi.org/10.1108/09576050010306341.

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Kocaefe, Duygu, Audrey Murray-Chiasson, YaşAr Kocaefe, and Peter Waite. "Modelling of Inclusion Re-entrainment During Filtration." Canadian Journal of Chemical Engineering 82, no. 6 (May 19, 2008): 1191–201. http://dx.doi.org/10.1002/cjce.5450820606.

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13

Ciardi, Benedetta. "Cosmic re-onization: theoretical modelling and forthcoming observations." Proceedings of the International Astronomical Union 2, no. 14 (August 2006): 380–81. http://dx.doi.org/10.1017/s1743921307011088.

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AbstractWith the advent in the near future of radio telescopes such as LOFAR and the SKA, a new window on the high-redshift Universe will be opened. In particular, it will be possible, for the first time, to observe the 21-cm signal from the diffuse IGM prior to its complete re-ionization and thus probe the ‘dark ages’. I discuss the theoretical modelling of the re-ionization process and its observability through the 21-cm signal and the CMB anisotropies.
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Clegg, Gareth, David Harrison, and Mary McElroy. "Alveolar Epithelial Re-Modelling in Acute Lung Injury." Clinical Science 104, s49 (April 1, 2003): 57P. http://dx.doi.org/10.1042/cs104057pa.

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15

Idelmerfaa, Zahra, and Jacques Richard. "CIM systems modelling for control system re-usability." International Journal of Computer Integrated Manufacturing 11, no. 3 (January 1998): 195–204. http://dx.doi.org/10.1080/095119298130723.

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16

DeCann, Brian, and Arun Ross. "Modelling errors in a biometric re‐identification system." IET Biometrics 4, no. 4 (December 2015): 209–19. http://dx.doi.org/10.1049/iet-bmt.2015.0061.

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17

Clark, David A. "Affect, cognition and change—Re-modelling depressive thought." Behaviour Research and Therapy 32, no. 8 (November 1994): 891–94. http://dx.doi.org/10.1016/0005-7967(94)90171-6.

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18

Cleemput, Irina, Paul Kind, and Katrien Kesteloot. "Re-scaling social preference data: implications for modelling." European Journal of Health Economics 5, no. 4 (November 2004): 290–98. http://dx.doi.org/10.1007/s10198-004-0242-5.

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19

Guedes, Gabriela, Carla Silva, and Monique Soares. "Survey Evaluation of an Approach for Dynamic Software Product Lines." Cadernos do IME - Série Informática 45 (June 18, 2021): 24–43. http://dx.doi.org/10.12957/cadinf.2020.56857.

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In Dynamic Software Product Lines (DSPLs) product configuration occurs at runtime. Modelling variability and configuring the product in DSPLs should consider the context and non-functional requirements (NFRs) satisfaction. ConG4DaS (Contextual Goal models For Dynamic Software product lines) is a Requirements Engineering (RE) approach for DSPL which supports (i) modelling of variability with goals, NFRs, contexts and the relationship be-tween them; and (ii) offers a product configuration based on contexts, NFRs and their priority and interactions. In this paper, we present a survey evaluation of ConG4DaS with RE and DSPL researchers in regard to the perceived usefulness. In the survey, both RE and DSPL researchers perceived ConG4DaS as useful for modelling and configuring DSPLs. However, the RE group gave more positive answers than the DSPL group.
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20

Braaksma, Barteld, and Kees Zeelenberg. "``Re-make/Re-model'': Should big data change the modelling paradigm in official statistics?" Statistical Journal of the IAOS 31, no. 2 (May 27, 2015): 193–202. http://dx.doi.org/10.3233/sji-150892.

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21

Marais, Kobus. "Translating Time: Modelling the (Re)Processing of Emerging Meaning." Punctum. International Journal of Semiotics 06, no. 01 (October 16, 2020): 109–31. http://dx.doi.org/10.18680/hss.2020.0006.

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The choice between substance ontology and process ontology has been haunting our thinking since, at least, Ancient Greek philosophy. The assumption seems that things are the way they are and that one has to put work into changing them. Constancy or substance, in this view, is primary and change (or process) secondary. In translation studies, this plays out in the source text as the stable starting point that has to be transformed into a target text. Based on Peirce’s process semiotics and other process thinkers, I inverse the above argument, arguing that change or process is primary and constancy or substance secondary. Because the universe is subject to the Second Law of Thermodynamics, it is a process taking form rather than a form changing. Any text is a process that has been constrained materially to be relatively stable, but the stability is not original; it is the effect of semiotic work, translation. My interest is in the semiotic work done to constrain the semiotic process into some form of stability and how one can get to know or understand these constraints. Part of this paper explores some of the implications of process thinking for translation studies. However, this reversal of ground and figure also challenges the modeling of translation. If translation is a process, how do we model it in a static medium such as print? Therefore, I explore the affordances that new computational technology offers for translating static models into dynamic ones.
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22

Borja, V., J. A. Harding, and K. T. K. Toh. "Product re‐engineering process using an enterprise modelling architecture." International Journal of Agile Management Systems 2, no. 3 (December 2000): 214–25. http://dx.doi.org/10.1108/14654650010356121.

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23

Gadallah, Mohamed H. "Process re-modelling using RSM and the splitting approach." International Journal of Mechatronics and Manufacturing Systems 3, no. 1/2 (2010): 58. http://dx.doi.org/10.1504/ijmms.2010.029875.

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24

Bates, John. "Practical modelling of trip re-scheduling under congested conditions." Transportation Research Part A: Policy and Practice 41, no. 9 (November 2007): 788–801. http://dx.doi.org/10.1016/j.tra.2006.11.010.

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25

Ferreira, A. J. M., P. P. Camanho, A. T. Marques, and A. A. Fernandes. "Modelling of concrete beams reinforced with FRP re-bars." Composite Structures 53, no. 1 (July 2001): 107–16. http://dx.doi.org/10.1016/s0263-8223(00)00182-3.

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26

Ward, H., and A. H. Christer. "Modelling the re-design decision for a warranted product." Reliability Engineering & System Safety 88, no. 2 (May 2005): 181–89. http://dx.doi.org/10.1016/j.ress.2004.07.005.

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27

Martin, Kirsten. "Nature/Culture Breaks: Re-modelling the desire to escape." Continuum 23, no. 1 (February 2009): 13–18. http://dx.doi.org/10.1080/10304310802618350.

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28

Hunt, Andrew, and David Blake. "Modelling longevity bonds: Analysing the Swiss Re Kortis bond." Insurance: Mathematics and Economics 63 (July 2015): 12–29. http://dx.doi.org/10.1016/j.insmatheco.2015.03.017.

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29

Roberts, Gregory W., Steven Quinn, Tina Druskeit, Trine Helboe, Lisbeth E. Jørgensen, and Cathrine Johansen. "Post-Operative Warfarin Re-Initiation - Modelling Loading Dose Strategy." Journal of Pharmacy Practice and Research 43, no. 4 (December 2013): 276–78. http://dx.doi.org/10.1002/j.2055-2335.2013.tb00274.x.

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30

Beynon, Meurig. "Radical Empiricism, Empirical Modelling and the nature of knowing." Cognitive Technologies and the Pragmatics of Cognition 13, no. 3 (December 20, 2005): 615–46. http://dx.doi.org/10.1075/pc.13.3.11bey.

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This paper explores connections between Radical Empiricism (RE), a philosophic attitude developed by William James at the beginning of the 20th century, and Empirical Modelling (EM), an approach to computer-based modelling that has been developed by the author and his collaborators over a number of years. It focuses in particular on how both RE and EM promote a perspective on the nature of knowing that is radically different from that typically invoked in contemporary approaches to knowledge representation in computing. This is illustrated in detail with reference to the modelling of several scenarios of lift use. Some potential implications for knowledge management are briefly reviewed.
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Li, Zihui, Duncan Betts, Gisela Kuhn, Michael Schirmer, Ralph Müller, and Davide Ruffoni. "Mechanical regulation of bone formation and resorption around implants in a mouse model of osteopenic bone." Journal of The Royal Society Interface 16, no. 152 (March 2019): 20180667. http://dx.doi.org/10.1098/rsif.2018.0667.

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Although mechanical stimulation is considered a promising approach to accelerate implant integration, our understanding of load-driven bone formation and resorption around implants is still limited. This lack of knowledge may delay the development of effective loading protocols to prevent implant loosening, especially in osteoporosis. In healthy bone, formation and resorption are mechanoregulated processes. In the intricate context of peri-implant bone regeneration, it is not clear whether bone (re)modelling can still be load-driven. Here, we investigated the mechanical control of peri-implant bone (re)modelling with a well-controlled mechanobiological experiment. We applied cyclic mechanical loading after implant insertion in tail vertebrae of oestrogen depleted mice and we monitored peri-implant bone response by in vivo micro-CT. Experimental data were combined with micro-finite element simulations to estimate local tissue strains in (re)modelling locations. We demonstrated that a substantial increase in bone mass around the implant could be obtained by loading the entire bone. This augmentation could be attributed to a large reduction in bone resorption rather than to an increase in bone formation. We also showed that following implantation, mechanical regulation of bone (re)modelling was transiently lost. Our findings should help to clarify the role of mechanical stimulation on the maintenance of peri-implant bone mass.
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32

Rodriguez, Manuel J., and Jean-B. Sérodes. "Neural network-based modelling of the adequate chlorine dosage for drinking water disinfection." Canadian Journal of Civil Engineering 23, no. 3 (June 1, 1996): 621–31. http://dx.doi.org/10.1139/l96-871.

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A neural network modelling approach has been developed to estimate the disinfectant dose adjustments required during water re-chlorination in storage tanks. The approach is based on representative operational and water quality historical data which intrinsically characterize the operators' use of know-how in their routine tasks. The development of the model requires the elimination of the historical cases in which re-chlorination results were inadequate. The results obtained for the model demonstrate that neural networks are capable of satisfactorily identifying the knowledge patterns contained in data with regard to the re-chlorination process for both winter and summer conditions. The practical use of such a model may assist operators in adjusting re-chlorination doses and may favour chlorine economization and the improvement of the water quality in the distribution system. Key words: drinking water, neural networks, distribution systems, chlorination, modelling, water quality.
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Sulovic, Ljiljana S., Meho Mahmutovic, Snezana Lazic, and Nenad Sulovic. "The role of echocardiography in the evaluation of cardiac re-modelling and differentiation between physiological and pathological hypertrophy in teenagers engaged in competitive amateur sports." Cardiology in the Young 27, no. 4 (October 18, 2016): 706–12. http://dx.doi.org/10.1017/s1047951116001116.

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AbstractAims“Athlete’s heart” is a cardiac adaptation to long-term intensive training. The aims of this study were to show the prevalence of left ventricular hypertrophy in teenagers who participate in sports, to define the different types of cardiac re-modelling, and to differentiate between physiological and pathological hypertrophy.MethodEchocardiographic measurements were obtained by M-mode, two dimensional, and Doppler techniques of participants from sports and control groups.ResultsThe echocardiographic examinations included 100 healthy teenagers taking part in dynamic sports such as football and basketball and 100 healthy teenagers taking part in static sports such as karate and judo. The control group (n=100) included healthy, sedentary teenagers. Sports participants had significantly higher left ventricular mass when compared with the control group, (p<0.001). In the dynamic sports group, 29% of the respondents had left ventricular mass above the 95th percentile, whereas 71% had left ventricular mass below the 95th percentile (p<0.001). The cardiac re-modelling was eccentric (79.4 versus 20.6%, p<0.001). In the group of static sports participants, 37% had left ventricular mass above the 95th percentile, whereas 63% had left ventricular mass below the 95th percentile (z score 0.74±0.82, p<0.001). The prevalence of concentric and eccentric types of re-modelling was equally manifested (54.05 versus 45.95%, p>0.05). Respondents from both groups had E/A ratios (transmitral flow velocity ratio)>1, preserved diastolic function, and statistically they did not differ from the control group.ConclusionEchocardiographic parameters show that physiological hypertrophy and cardiac re-modelling are present in teenagers who play sports. Unexpectedly, the prevalence of concentric and eccentric types of re-modelling is equally possible in the group of static sports participants.
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34

Tortola, Emerson, Karina Alessandra Pessoa da Silva, and Jader Otavio Dalto. "Professores em ação: (res)significando o ensino por meio da Modelagem Matemática." Bolema: Boletim de Educação Matemática 37, no. 75 (January 2023): 168–93. http://dx.doi.org/10.1590/1980-4415v37n75a09.

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Resumo Este artigo tem por objetivo apresentar resultados de uma pesquisa em que evidenciamos como professores em formação continuada (res)significam o modo como ensinam a partir da implementação de uma atividade de modelagem matemática. Subsidiados nas caracterizações de modelagem matemática como conteúdo e como veículo, debruçamo-nos nas práticas desenvolvidas por um grupo de dez professores que ensinam Matemática e que cursavam, em 2019, uma disciplina de Modelagem Matemática no contexto de um Mestrado Profissional em Ensino de Matemática. A análise das respostas a um questionário e dos relatórios escritos pelos professores descrevendo a prática desenvolvida foi inspirada na Teoria Fundamentada em Dados. A análise resultou em duas categorias que revelaram o modo como os professores ensinam por meio da modelagem matemática, conduzindo a uma (res)significação de suas práticas de ensino: prática docente diferente das habituais, que implicou o papel do professor de orientar e guiar os alunos na atividade; e prática que prima pelo envolvimento dos alunos, em termos das possibilidades oferecidas pela abordagem matemática de situações extramatemáticas.
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35

Wilson, John M., and Martyn A. Ould. "Business Processes: Modelling and Analysis for Re-Engineering and Improvement." Journal of the Operational Research Society 47, no. 4 (April 1996): 595. http://dx.doi.org/10.2307/3010738.

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36

Nadkarni-Ghosh, Sharvari, and David F. Chernoff. "Modelling non-linear evolution using Lagrangian perturbation theory re-expansions." Monthly Notices of the Royal Astronomical Society 431, no. 1 (March 8, 2013): 799–823. http://dx.doi.org/10.1093/mnras/stt217.

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37

Hooker, Cliff. "Re-modelling scientific change: complex systems frames innovative problem solving." Lato Sensu: Revue de la Société de philosophie des sciences 5, no. 1 (September 1, 2018): 4–12. http://dx.doi.org/10.20416/lsrsps.v5i1.2.

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Complex systems are used, studied and instantiated in science, with what consequences? To be clear and systematic in response it is necessary to distinguish the consequences, (i) for science, of science using and studying complex systems, (ii) for philosophy of science, of science using and studying complex systems, (iii) for philosophy of science, of philosophy of science modelling science as a complex system. Each of these is explored in turn, especially (iii). While (iii) has been least studied, it will be shown how modelling science as a complex process may change our conception of science and thereby query what a philosophy of science adequate to this complexity might look like.
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Wilson, John M. "Business Processes: Modelling and Analysis for Re-engineering and Improvement." Journal of the Operational Research Society 47, no. 4 (April 1996): 595–96. http://dx.doi.org/10.1057/jors.1996.68.

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39

van Gaans, P. F. M. "The role of modelling in geochemical engineering—a (re)view." Journal of Geochemical Exploration 62, no. 1-3 (June 1998): 41–55. http://dx.doi.org/10.1016/s0375-6742(98)00003-x.

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40

Gerrard, Sue, and Gordon Rugg. "Sensory Impairments and Autism: A Re-Examination of Causal Modelling." Journal of Autism and Developmental Disorders 39, no. 10 (June 2, 2009): 1449–63. http://dx.doi.org/10.1007/s10803-009-0773-9.

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41

Zhang, Jianhong, and Zhigang Tian. "UNK cells: their role in tissue re-modelling and preeclampsia." Seminars in Immunopathology 29, no. 2 (April 24, 2007): 123–33. http://dx.doi.org/10.1007/s00281-007-0068-1.

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42

Simonini, R., J. Spence, and P. C. Stangeby. "Monte Carlo modelling of edge re-cycle fueling on JET." Plasma Physics and Controlled Fusion 33, no. 6 (June 1, 1991): 653–75. http://dx.doi.org/10.1088/0741-3335/33/6/007.

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43

Rolfe, Richard, and Colin Armistead. "Business processes: Modelling & analysis for re-engineering and improvement." European Management Journal 14, no. 4 (August 1996): 431–32. http://dx.doi.org/10.1016/0263-2373(96)81539-8.

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44

Myers, Lynn B. "Book Review: Affect, Cognition and Change: Re-Modelling Depressive Thought." Quarterly Journal of Experimental Psychology Section A 48, no. 3 (August 1995): 797. http://dx.doi.org/10.1080/14640749508401416.

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45

Whitaker, Ulf Essler, Randall. "Re-thinking E-commerce Business Modelling in Terms of Interactivity." Electronic Markets 11, no. 1 (January 1, 2001): 10–16. http://dx.doi.org/10.1080/10196780121958.

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Essler, Ulf, and Randall Whitaker. "Re-thinking E-commerce Business Modelling in Terms of Interactivity." Electronic Markets 11, no. 1 (January 1, 2001): 10–16. http://dx.doi.org/10.1080/10196780151105320.

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47

Sobotka, Anna. "Simulation modelling for logistics re-engineering in the construction company." Construction Management and Economics 18, no. 2 (March 2000): 183–95. http://dx.doi.org/10.1080/014461900370816.

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48

Knox, Alan J. "Airway Re-Modelling in Asthma: Role of Airway Smooth Muscle." Clinical Science 86, no. 6 (June 1, 1994): 647–52. http://dx.doi.org/10.1042/cs0860647.

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49

Malissard, M., J. Souquet, and P. Ele. "Urogenital re-education by electrostimulation: Modelling for minimum energy computation." Medical & Biological Engineering & Computing 31, no. 2 (March 1993): 180–83. http://dx.doi.org/10.1007/bf02446677.

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50

Ward, Martin. "The re‐profiling of sheltered stock and services in Eastleigh." Housing, Care and Support 1, no. 3 (September 1, 1998): 18–22. http://dx.doi.org/10.1108/14608790199800028.

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THE RE‐PROFILING, RE‐SHAPING OR re‐modelling of sheltered housing has become a topical issue. At Eastleigh, we first considered the problem of difficult‐to‐let sheltered accommodation and the need for upgraded support ten years ago. The focus of this article is on the conversion of three conventional Category 2 schemes built in the mid‐1960s.
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