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14篇 您的检索式:作者名="Daniel Funk"
    题名 作者 年代 出处 被引量
1An evaluation of the orefical frameworks for studying physically active leisure 显示文摘Anthony A Beatona Daniel C Funk 2008Leisure Sciences2008,30,1:1
2An evaluation of theoretical frameworks for studying physically active leisure 显示文摘Anthony A Beaton Daniel C Funk 2008Leisure Sciences2008,30,1:1
3An evaluation of theoretical fram eworks for studying physically active leisure 显示文摘Anthony A Beatona Daniel C Funk 2008Leisure Sciences2008,30,1:1
4R-spondin1, A Novel Intestinotrophic Mitogen, Ameliorates Experimental Colitis in Mice显示文摘Jingsong Zhao Josephine de Vera Seiko Narushima Eric X. Beck Servando Palencia Pauline Shinkawa Kyung–Ah Kim Yi Liu Michael D. Levy Daniel J. Berg Arie Abo Walter D. Funk 2007Gastroenterology2007,,4:1
5Bridging the gap: An examination of the relative alignment of hospitality research and industry priorities显示文摘Ceridwyn King Daniel C. Funk Hugh Wilkins 2010International Journal of Hospitality Management2010,,1:1
6Investigating motivation,at-titudinal loyalty and attendance behaviour with fans ofAustralian Football显示文摘Larry Neale Daniel Funk 2006International Journal of SportsMarketing ^Sponsorship2006,7,4:1
7Propensity score estimation: neural networks, support vector machines, decision trees (CART), and meta-classifiers as alternatives to logistic regression显示文摘Daniel Westreich Justin Lessler Michele Jonsson Funk 2010Journal of Clinical Epidemiology2010,,8:1
8The strong ion gap and outcome after cardiac arrest in patients treated with therapeutic hypothermia:a retrospective study显示文摘Georg-Christian Funk Doberer Daniel Sterz Fritz 2009Intensive care medicine2009,35,2:1
9Soil properties related to potential particulate matter emissions (PM10) of sandy soils显示文摘Silvia B. Aimar Mariano J. Mendez Roger Funk Daniel E. Buschiazzo 2011Aeolian Research2011,,4:1
10The Role of Socio - psychological and Cul- ture- education Motives in Marketing Intematioual Sport Tourism:A Crosscultural Perspective 显示文摘Daniel C Funk Tennille J Bruun 2007Tourism Management2007,28,3:1
11An evaluation of the oretical frameworks for studying physically active leisure显示文摘Anthony A Beaton Daniel C Funk 2008Leisure Sciences2008,30,1:1
12Exploring sport brand double jeopardy: The link between team market share and attitudinal loyalty显示文摘Jason P. Doyle Kevin Filo Heath McDonald Daniel C. Funk 2012Sport Management Review2012,,:1
13Mitochondrial DNA sequences and multiple data sets:A phylogenetic study of phytophagous beetles (Chrysomelidae:Ophraella) 显示文摘FUNK DANIEL J FUTUYMA 1995Molecular Biology and Evolution1995,12,4:1
14Horizontal and vertical fluxes of particulate matter during wind erosion on arable land in the province La Pampa, Argentina显示文摘A detailed analysis of horizontal and vertical particulate matter(PM) fluxes during wind erosion has been done, based on measurements of PM smaller than 10, 2.5, and 1.0 μm, at windward and leeward positions on a measuring field. The three fractions of PM measurement are differently influenced by the increasing wind and shear velocities of the wind. The measured concentrations of the coarser fractions of the fine dust, PM_(10), and PM_(2.5), increase with wind and shear velocity, whereas the PM_(1.0)concentrations show no clear correlation to the shear velocity. The share of PM_(2.5)on PM_(10)depends on the measurement height and wind speed and varies between 4 and 12 m/s at the 1 m height ranging from 25% to 7%(average 10%),and at the 4 m height from 39% to 23%(average 30%). Although general relationships between wind speed, PM concentration, and horizontal and vertical fluxes could be found, the contribution of the measuring field was very low, as balances of incoming and outgoing fluxes show. Consequently, the measured PM concentrations are determined from a variety of sources, such as traffic on unpaved roads,cattle drives, tillage operations, and wind erosion, and thus, represent all components of land use and landscape structure in the near and far surroundings of the measuring field. The current results may reflect factors from the landscape scale rather than the influence of field-related variables. The measuring devices used to monitor PM concentrations showed differences of up to 20%, which led to considerable deviations when determining total balances. Differences up to 67% between the calculated fluxes prove the necessity of a previous calibration of the devices used.Nicole Siegmund Roger Funk Michael Sommer Fernando Avecill Juan Esteban Panebianco Laura Antonela Iturri Daniel Eduardo Buschiazzo 2022International Journal of Sediment Research2022,37,5:0
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