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    题名 作者 年代 出处 被引量
1Identifica- tion and Characterization of Leuconostoc faUax Strains Isolated from an Industrial Sauerkraut Fermentation 显示文摘RODOLPHE B SUNG-SIK Y FREDERICK B 2002Applied and Environmental Microbiology2002,68,6:1
2Inertial properties of the arm are accurately predicted during motor imagery显示文摘RODOLPHE G VIOLAINE C YVES B 2004Behavioural Brain Research2004,155,2:1
3Functional and comparative genomic analyses of an operon involved in fructooligosaccharide utilization by Lactobacillus acidophilus显示文摘RODOLPHE B ERIC A ROBERT H 2003Proceedings of the National Academy of Sciences of the United States of America2003,100,15:1
4Identification and characterization of Leuconestoc fallax strains isolated from anindustrial sauerkraut fermentation显示文摘Rodolphe B Sung-Sik Y Frederick B 2002Applied and Environ Microbiol2002,68,6:1
5A chromoplast-specific protein in Capsicum annuum: characterization and expression of the corresponding gene显示文摘Guy Houlné Marie-Luce Schantz Béatrice Meyer Javier Pozueta-Romero Rodolphe Schantz 1994Current Genetics (-)1994,,5:1
6Identification and Characterization of Leuconostoc fallax Strains Isolated from an Industrial Sauerkraut Fermentation 显示文摘RODOLPHE B SUNG-SIK Y FREDERICK B 2002App Environ Microbiol2002,68,6:1
7CRISPR provides acquired resistance against viruses in prokaryotes显示文摘RODOLPHE B CHRISTOPHE F HELENE D 2007Science2007,315,:1
8Finding words with unexpected frequencies in DNA sequence显示文摘Prum B Rodolphe F and de Turckhem E 1995J R statist Soc1995,57,:1
9Contributors’enrollment in collaborative online communities:the case of OpenStreetMap显示文摘The number of people registering in an online community depends on two main factors:interest in,and awareness of,the project.Registering to a project does not,however,imply contributing to it,as lacking the knowledge and skills can be a barrier to participation.In order to identify the nature of events that might have facilitated or hindered enrollments in the OpenStreetMap(OSM)project over time,we analyzed the correlations between the number of new participants and the events that dotted its history.Four different metrics were defined to characterize participants’behaviors:the daily number of registrations,the daily number of participants that made a first contribution,the delays between contributors’registration and their first edits,and a daily contribution ratio built from the number of new contributors and the number of new registered members.Time series analyses were used to identify trends,and outstanding variations of the number of participants.An inventory of events that took place along the OSM project’s history was created and appreciable variations of the metrics have been linked to events that seemed to be meaningful.Although a correlation does not imply causality,many of the explanations these correlations suggest are supported by the results of other studies,either directly or indirectly.For instance,when considering the time participants spend as“lurker”,as well as on the nature of the contribution of early participants.In other cases,they suggest new explanations for the origin of the spam accounts that affect registration statistics,or the decline in the proportion of registered members who actually become contributors.Daniel Bégin Rodolphe Devillers Stéphane Roche 2017Geo-Spatial Information Science2017,20,3:0
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