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13篇 您的检索式:作者名="Kontaxis"
    题名 作者 年代 出处 被引量
1A frame work for the definition of standardized protocols for measuring upper- extremity kinematics显示文摘Kontaxis Cutti AG Johnson GR 2009Clin Biomech2009,24,3:1
2Dipolar couplings in macromolecular structure determination显示文摘Bax A Kontaxis G Tjandra N 2001Method Enzymol2001,339,:1
3Structure and intramodular dynamics of the amino-terminal LIM domain from quail cysteine- and glycine-Rich protein CRP2 显示文摘Kontaxis G Konrat R Krautler B 1998Biochemistry1998,37,20:1
4Evaluation of cross-correlation effects and measurement of one-bond couplings in proteins with short transverse relaxation times显示文摘Kontaxis G Clore G M 2000J Magn Reson2000,143,:1
5Structure and intramodular dynamics of the amino-terminal LIM domain from quail cysteine and glycine-rich protein CRP2显示文摘Kontaxis G Konrat R Krautler B 1998Biochemistry1998,37,20:1
6Structure and intramodular dynamics of the amino-terminal LIM domain from quail Cysteine-and Glycine-rich protein CRP2显示文摘Kontaxis G Konrat R Krautler B 1998Biochemistry1998,37,20:1
7Protein structure determination using molecular fragment replacement and NMR dipolar couplings显示文摘Delaglio F Kontaxis G Bax A 2000J Am Chem Soc2000,122,:1
8Dementia as presenting symptom of primary hyperparathyroidism: favoura- ble outcome after surgery显示文摘Papageorgiou SG Christou Y Kontaxis T 2008Clin Neurol Neurosurg2008,110,10:1
9Traumatic hemopericardium and chronic constrictive pericarditis显示文摘Sbokis CG Karayannacos PE Kontaxis A 1977Ann Thorac Surg1977,23,3:1
10Spinal cavernoma: an unusual cause of acute monoparesis 显示文摘Papageorgiou SG Kontaxis T Samara C 2009Neurologist2009,15,5:1
11The biomechanics of reverse anatomy shoulder replacement-A modelling study显示文摘Kontaxis A Johnson G R 0,,24:1
12NMR techniques to study hydrogen bonding in aqueous solution显示文摘Robert Konrat Martin Tollinger Georg Kontaxis 1999Monatshefte Fur Chemie1999,130,:1
13Exploring speeding behavior using naturalistic car driving data from smartphones显示文摘The present research aimed to identify critical factors that affect speeding behavior.For that purpose,high-resolution smartphone data collected from a naturalistic driving experiment of 88 drivers were utilized,augmented with data from self-reported questionnaires.Using risk exposure and driving behavior indicators calculated from smartphone sensor data,as well as demographic characteristics and self-reported driving performance,statistical analysis was carried out for modelling the percentage of driving time over the speed limit,namely by means of generalized linear mixed-effects models.More precisely,an overall model was developed for all road environments,and additional separate models were developed for driving on urban and rural roads.The results from the interpretation of the estimated parameters of the models can be summarized as follows:the parameters of trip distance and mobile phone use while driving have been determined as statistically significant and positively correlated with the percentage of speeding time during a driver's trip.In the same context,male drivers and drivers in the age group of18-34 also increase the percentages of speeding instances while driving.Regarding driving behavior as stated on the questionnaire,it seems that low frequencies of self-declared speeding(never or rarely)are statistically significant and negatively correlated with the percentage of speeding time.It is expected that this research can provide considerable gains to society,since the stakeholders including policy makers and industry could rely on the results and recommendations regarding risk factors that appear to be critical for safe driving.Armira Kontaxi Dimosthenis-Marios Tzoutzoulis Apostolos Ziakopoulos George Yannis 2023Journal of Traffic and Transportation Engineering(English Edition)2023,10,6:0
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