Journal articles on the topic 'Regional variation'

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1

George, Mike. "Regional variation." Nursing Standard 8, no. 45 (August 3, 1994): 21. http://dx.doi.org/10.7748/ns.8.45.21.s41.

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2

Baqer, S., and B. J. Mitchell. "Regional Variation of." Pure and Applied Geophysics 153, no. 4 (1998): 613. http://dx.doi.org/10.1007/s000240050210.

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3

Singh, Rama S., and Larry R. Hale. "Regional variation in fruitflies." Nature 369, no. 6480 (June 1994): 450. http://dx.doi.org/10.1038/369450a0.

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4

Begun, David J., and Charles F. Aquadro. "Regional variation in fruitflies." Nature 369, no. 6480 (June 1994): 450. http://dx.doi.org/10.1038/369450b0.

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5

Peters, Jörg. "Regionale Variation der Stimmqualität." Zeitschrift für Dialektologie und Linguistik 85, no. 1 (2018): 1–34. http://dx.doi.org/10.25162/zdl-2018-0001.

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6

Vardøy, Benedikte Fjellanger. "Mapping young Russians’ perceptions of regional variation in Russian." Journal of Linguistic Geography 9, no. 1 (April 2021): 50–68. http://dx.doi.org/10.1017/jlg.2021.5.

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AbstractThis paper studies the perception of regional variation in Russian among young Russian nonlinguists in Moscow, Perm, and Novosibirsk. I explore the labels used in 55 perceptual maps and categorize them in order to investigate the perceived character of regional variation among young Russians, including their explanations for regional variation. The data analysis shows that claims about regional variation are based on the informants’ assessments of variation in Russian, but also on assessments of domains that they perceive as related to regional variation: style and accent, as well as extralinguistic features such as geography and climate. Based on this analysis, I argue that the line between regional language variation and other variations can be conceived of as fuzzy.
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7

Luedtke, Barbara E. "Regional Variation in Massachusetts Ceramics." North American Archaeologist 7, no. 2 (October 1986): 113–35. http://dx.doi.org/10.2190/f9dl-x8nn-504m-1u1r.

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This paper compares prehistoric ceramic assemblages from three regions of the Massachusetts coastal zone in an attempt to define which technological and stylistic variables are consistent throughout the zone, and which vary between regions. Technological, social, and economic implications of the patterns found are discussed.
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8

Anderson, H. Vernon. "Regional Variation: Only Moderately Interesting." Circulation: Cardiovascular Quality and Outcomes 3, no. 1 (January 2010): 6–7. http://dx.doi.org/10.1161/circoutcomes.109.927103.

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9

Schoenfeld, Andrew J., Bradley K. Weiner, and Harvey E. Smith. "Regional Variation and Spine Care." Spine 36, no. 18 (August 2011): 1512–17. http://dx.doi.org/10.1097/brs.0b013e31822418ae.

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10

Detsky, Allan S. "Regional Variation in Medical Care." New England Journal of Medicine 333, no. 9 (August 31, 1995): 589–90. http://dx.doi.org/10.1056/nejm199508313330911.

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11

WARNOCK, A. R., and J. F. DELWICHE. "REGIONAL VARIATION IN SWEET SUPPRESSION." Journal of Sensory Studies 21, no. 3 (June 2006): 348–61. http://dx.doi.org/10.1111/j.1745-459x.2006.00070.x.

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12

Foreman, Lindsey A., James A. Lambert, and Ian W. Evett. "Regional genetic variation in Caucasians." Forensic Science International 95, no. 1 (July 1998): 27–37. http://dx.doi.org/10.1016/s0379-0738(98)00079-6.

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13

Collier, R. D., M. Williams, F. Saleh, S. Lipsitz, and S. O. Rogers. "Regional Variation In Trauma Mortality." Journal of Surgical Research 165, no. 2 (February 2011): 182. http://dx.doi.org/10.1016/j.jss.2010.11.676.

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14

Grzywińska-Rąpca, Małgorzata, and Małgorzata Kobylińska. "Regional variation in household income." Wiadomości Statystyczne. The Polish Statistician 64, no. 12 (December 30, 2019): 46–57. http://dx.doi.org/10.5604/01.3001.0013.6466.

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The aim of the paper is to determine the scale of intervoivodship variation in terms of the level of household income, taking into account the sources of this income. To evaluate regional differences related to the economic situation of households, the authors used data on the sources and level of income per person in a household in a voivodship. Average values of income for each identified source were calculated on the basis of microdata from the 2016 Household Budget Survey carried out by Statistics Poland. For the purpose of the study, the authors employed k-medoid method, one of non-hierarchical techniques of division. It was demonstrated that of all the diagnostic features adopted in the study, it was the level of income from permanent employment abroad which differentiated among particular clusters of voivodships to the largest extent. The average value for this feature in cluster 2 was PLN 5000,70 per person in the household. The performed grouping of voivodships showed that the extent to which households search for additional sources of income depends on the economic potential of the region and available opportunities.
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15

Albert, Mathias, and Stephan Stetter. "Regional Variations of and Regional Variations within Functional Differentiation – The Middle East and World Society." Soziale Systeme 23, no. 1-2 (June 1, 2018): 135–50. http://dx.doi.org/10.1515/sosys-2018-0008.

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Abstract This article highlights the territorial and functional embedding of world regions within a functionally differentiated world society, as well as the heterogeneity between different (local) practices of functional differentiation within world regions. Its argument proceeds in two steps. In a first step, it discusses the distinction between regional variations of functional differentiation versus regional variations within functional differentiation as an important tool in order to characterize specific variations of structural patterns. In a second step it turns to the Middle Eastern case, arguing that while at first glance this may be a candidate for a regional variation of functional differentiation, a closer look reveals that it has been characterized by a very specific variation within functional differentiation for quite a while. The article concludes by using these observations for some thoughts on the functional differentiation of world society more generally.
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16

Pattison, Melody. "Regional variation of HUIS in Achterhoeks." Taal en Tongval 72, no. 2 (February 1, 2021): 119–50. http://dx.doi.org/10.5117/tet2020.1.patt.

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17

Lester, David, and Karolina E. Krysinska. "Regional Variation of Divorce in Poland." Perceptual and Motor Skills 93, no. 2 (October 2001): 574. http://dx.doi.org/10.2466/pms.2001.93.2.574.

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18

Lester, David. "Regional Variation of Divorce in Germany." Perceptual and Motor Skills 95, no. 3 (December 2002): 886. http://dx.doi.org/10.2466/pms.2002.95.3.886.

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19

Lester, David. "Regional Variation of Suicide in Austria." Perceptual and Motor Skills 89, no. 1 (August 1999): 194. http://dx.doi.org/10.2466/pms.1999.89.1.194.

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20

Ward, Michael M. "Regional Variation in Surgical Procedure Rates." JAMA Surgery 157, no. 2 (February 1, 2022): 91. http://dx.doi.org/10.1001/jamasurg.2021.4892.

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21

Kobylińska, Małgorzata. "Regional variation of beekeeping in Poland." Wiadomości Statystyczne. The Polish Statistician 66, no. 2 (February 26, 2021): 25–38. http://dx.doi.org/10.5604/01.3001.0014.7388.

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Beekeeping is of great significance for the development of agriculture. On the one hand, it may be considered in the context of the acquisition of bee products by beekeepers, and on the other, in terms of the role bees play in the natural environment , i.e. their contribution to the production of higher and better crops. The aim of the paper is to present the beekeeping sector across Poland's regions and to describe the changes it underwent in the studied period. The research was conducted in 2012, 2016 and 2019. The study uses secondary data from reports produced by the Apicultural Division of the Apicultural Division of the Research Institute of Horticulture in Puławy that relate to selected issues concerning the beekeeping sector in Poland. The differences in beekeeping in different parts of Poland were subject to one- and two-dimensional analysis. The latter was performed using methods based on the measurements of the depth of observations in the sample. The research demonstrates that the number of bee colonies and the number of beekeepers were on the rise in the studied years. The largest number of bee colonies was observed in Lubelskie, Małopolskie, Podkarpackie and Warmińsko-Mazurskie voivodships, while the largest production of honey was registered in Lubelskie Voivodship.
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22

Livinskaya, I. "REGIONAL VARIATION OF THE NATIONAL LANGUAGE." Bulletin of the Moskow State Regional University, no. 6 (2015): 37–42. http://dx.doi.org/10.18384/2310-7278-2015-6-37-42.

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23

Mitani, Tetsuo. "Family Change and its Regional Variation." Kazoku syakaigaku kenkyu 10, no. 10-2 (1998): 1–2. http://dx.doi.org/10.4234/jjoffamilysociology.10.10-2_1.

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24

Wright, Joss. "Regional variation in Chinese internet filtering." Information, Communication & Society 17, no. 1 (November 5, 2013): 121–41. http://dx.doi.org/10.1080/1369118x.2013.853818.

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25

Doets, Alex Y., Christine Verboon, Bianca van den Berg, Thomas Harbo, David R. Cornblath, Hugh J. Willison, Zhahirul Islam, et al. "Regional variation of Guillain-Barré syndrome." Brain 141, no. 10 (September 25, 2018): 2866–77. http://dx.doi.org/10.1093/brain/awy232.

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26

Driezen, P., and R. Ahmed. "Investigating Regional Variation in Daily Smoking." American Journal of Epidemiology 163, suppl_11 (June 1, 2006): S133. http://dx.doi.org/10.1093/aje/163.suppl_11.s133-b.

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27

Tamati, Terrin N. "Regional dialect variation in standard Italian." Journal of the Acoustical Society of America 128, no. 4 (October 2010): 2352. http://dx.doi.org/10.1121/1.3508343.

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28

Dossey, Ellen. "Perceptual adaptation to regional vowel variation." Journal of the Acoustical Society of America 146, no. 4 (October 2019): 3051. http://dx.doi.org/10.1121/1.5137573.

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29

Lester, David. "Regional Variation in Suicide and Homicide." Suicide and Life-Threatening Behavior 15, no. 2 (June 1985): 110–16. http://dx.doi.org/10.1111/j.1943-278x.1985.tb00645.x.

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30

Shriner, David L., and Howard I. Maibach. "Regional Variation of Nonimmunologic Contact Urticaria." Skin Pharmacology and Physiology 9, no. 5 (1996): 312–21. http://dx.doi.org/10.1159/000211433.

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31

Marušič, Andrej. "Suicide Mortality in Slovenia: Regional Variation." Crisis 19, no. 4 (July 1998): 159–66. http://dx.doi.org/10.1027/0227-5910.19.4.159.

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Different medical, social, and environmental regional characteristics were investigated as possible predictors of suicide rates in 60 self-governing communes in Slovenia. The distribution pattern of regional suicide rates for Slovenia shows some similarity to that of the rest of Europe, especially in terms of the substantial variation of suicide density within the country. On the basis of the multivariate analysis, prevalence of alcohol psychosis, percentage of Catholics, and low duration of sunshine appeared to be the most important predictors of regional suicide rates in Slovenia. The rate of murders was proven to be a highly useful clue of suicide potential among younger groups, whereas income per capita of population was associated with suicide risk in old age. The principal component analysis provided three suicide risk patterns: a socio-economic risk pattern (Catholic religion in poor community), a behavioral one (antisocial features, including heavy drinking), and a depression-related risk pattern with a climatic component (lack of sunshine). Different approaches are necessary for the different risk patterns listed above. Psychiatry, especially clinical psychiatry, can only deal with components of two of the patterns, namely, depression and antisocial behavior.
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32

Ocumpaugh, Jaclyn. "Regional Variation and Mexican American English." Voice and Speech Review 7, no. 1 (January 2011): 188–98. http://dx.doi.org/10.1080/23268263.2011.10739540.

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33

Ahmad, Khabir. "Regional variation in US drug resistance." Lancet Infectious Diseases 3, no. 5 (May 2003): 262. http://dx.doi.org/10.1016/s1473-3099(03)00624-8.

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34

Margulies, S. S. "Regional variation in canine diaphragm thickness." Journal of Applied Physiology 70, no. 6 (June 1, 1991): 2663–68. http://dx.doi.org/10.1152/jappl.1991.70.6.2663.

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To quantify the relationship between both regional and overall diaphragm morphometry and body weight in the dog, diaphragm thickness was measured in five regions of the costal diaphragm and three regions of the crural diaphragm in 40 healthy dogs (8-40 kg). Surface area of the diaphragm, diaphragm weight, and body weight were also determined. Diaphragm surface area and weight varied linearly with body weight, but there was no significant correlation between overall diaphragm thickness and body weight. Diaphragm thickness varied significantly between regions, and three regions had systematic left-to-right differences as well. Because diaphragm geometry influences the diaphragm's function as a pressure generator, regional differences in thickness may alter the relationship between the force developed by the activation of a particular region of the diaphragm and its action on the respiratory system.
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35

Perez, E. David. "Regional variation in VAMC's operative efficiency." Journal of Medical Systems 16, no. 5 (October 1992): 207–13. http://dx.doi.org/10.1007/bf01000273.

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36

Conceição, Oscarina, Ana Paula Faria, and Margarida Fontes. "Regional variation of academic spinoffs formation." Journal of Technology Transfer 42, no. 3 (September 21, 2016): 654–75. http://dx.doi.org/10.1007/s10961-016-9508-1.

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37

Morrisey, Michael A., and Gail A. Jensen. "Regional Variation in Health Insurance Coverage." Health Affairs 8, no. 3 (January 1989): 91–103. http://dx.doi.org/10.1377/hlthaff.8.3.91.

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38

Whited, W. M., J. R. Trivedi, M. P. Fox, and V. H. van Berkel. "Regional Variation in Lung Transplant Outcomes." Journal of Heart and Lung Transplantation 36, no. 4 (April 2017): S202. http://dx.doi.org/10.1016/j.healun.2017.01.531.

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39

Bakhshi, Reza. "Regional variation of cotton linter fibers." Indian Journal of Science and Technology 4, no. 12 (December 20, 2011): 1691–92. http://dx.doi.org/10.17485/ijst/2011/v4i12.23.

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40

Lougheed, M. Diane, Nancy Garvey, Kenneth R. Chapman, Lisa Cicutto, Robert Dales, Andrew G. Day, Wilma M. Hopman, et al. "The Ontario Asthma Regional Variation Study." Chest 129, no. 4 (April 2006): 909–17. http://dx.doi.org/10.1378/chest.129.4.909.

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41

&NA;. "51. Regional short-axis count variation." Nuclear Medicine Communications 19, no. 4 (April 1998): 372. http://dx.doi.org/10.1097/00006231-199804000-00059.

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42

Marušic, Andrej. "Suicide mortality in Slovenia: Regional variation." Crisis: The Journal of Crisis Intervention and Suicide Prevention 19, no. 4 (1998): 159–66. http://dx.doi.org/10.1037/h0086142.

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43

Reistetter, Timothy A., Amol M. Karmarkar, James E. Graham, Karl Eschbach, Yong-Fang Kuo, Carl V. Granger, Jean Freeman, and Kenneth J. Ottenbacher. "Regional Variation in Stroke Rehabilitation Outcomes." Archives of Physical Medicine and Rehabilitation 95, no. 1 (January 2014): 29–38. http://dx.doi.org/10.1016/j.apmr.2013.07.018.

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44

Bhattacharya, Radha. "Sources of variation in regional economies." Annals of Regional Science 37, no. 2 (May 1, 2003): 291–302. http://dx.doi.org/10.1007/s001680200117.

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45

Sakuntabhai, A., and PM Farr. "Regional variation of PUVA erythemal sensitivity." Journal of Dermatological Science 6, no. 1 (August 1993): 91. http://dx.doi.org/10.1016/0923-1811(93)91239-q.

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46

Slesnick, Daniel T. "Prices and Regional Variation in Welfare." Journal of Urban Economics 51, no. 3 (May 2002): 446–68. http://dx.doi.org/10.1006/juec.2001.2253.

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47

Hovstadius, Bo, Bengt Åstrand, and Göran Petersson. "Assessment of regional variation in polypharmacy." Pharmacoepidemiology and Drug Safety 19, no. 4 (February 26, 2010): 375–83. http://dx.doi.org/10.1002/pds.1921.

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48

Wasson, J. D., and P. R. Prinsley. "Tonsillectomy: variation in practice reflecting regional variation in disease presentation." Clinical Otolaryngology 36, no. 5 (October 2011): 522–24. http://dx.doi.org/10.1111/j.1749-4486.2011.02390.x.

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49

Sutcliffe, P. R. "The development of a regional geomagnetic daily variation model using neural networks." Annales Geophysicae 18, no. 1 (January 31, 2000): 120–28. http://dx.doi.org/10.1007/s00585-000-0120-0.

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Abstract. Global and regional geomagnetic field models give the components of the geomagnetic field as functions of position and epoch; most utilise a polynomial or Fourier series to map the input variables to the geomagnetic field values. The only temporal variation generally catered for in these models is the long term secular variation. However, there is an increasing need amongst certain users for models able to provide shorter term temporal variations, such as the geomagnetic daily variation. In this study, for the first time, artificial neural networks (ANNs) are utilised to develop a geomagnetic daily variation model. The model developed is for the southern African region; however, the method used could be applied to any other region or even globally. Besides local time and latitude, input variables considered in the daily variation model are season, sunspot number, and degree of geomagnetic activity. The ANN modelling of the geomagnetic daily variation is found to give results very similar to those obtained by the synthesis of harmonic coefficients which have been computed by the more traditional harmonic analysis of the daily variation.Key words. Geomagnetism and paleomagnetism (time variations; diurnal to secular) · Ionosphere (modelling and forecasting)
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50

Van den Broeck, Nick, Thijs Lambrecht, and Anne Winter. "Pre-industrial welfare between regional economies and local regimes: rural poor relief in Flanders around 1800." Continuity and Change 33, no. 2 (August 2018): 255–84. http://dx.doi.org/10.1017/s0268416018000164.

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AbstractThis study uses data on income and distribution of relief payments from local poor relief tables for 512 rural parishes in Flanders (present-day Belgium) in 1807 to examine spatial variation in poor relief practices in a region characterised by well-established local poor relief institutions and marked socio-economic differences. By combining data on poor relief with local data on population, landholding and occupational structure, we map out the relative importance of regional economies and local variation in producing distinct poor relief regimes. The results show that although local variation was considerable, the nature and extent of this variation interacted with structural socio-economic characteristics to produce regional patterns, signalling that local variation did not so much contradict as constitute regional patterns in poor relief regimes. The importance of socio-economic characteristics in determining both regional patterns and local variation supports our more general contention that local and regional levels of analysis represent a more fruitful avenue for understanding variations in poor relief practices than national differences in legislation, and therefore has implications for the comparative study of poor relief practices in a wider international context.
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