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9篇 您的检索式：作者名="Anik D"

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		题名	作者	年代	出处	被引量
	1	The learning curve in endoscopic pituitary surgery and our experience 显示文摘	Koc K Anik I Ozdamar D	2006	Neurosurg Rev2006，29，4：	1
	2	Development of a microbial biosensor based on carbon nanotube (CNT) modified electrodes显示文摘	ANIK U ODACI D	2007	Electrochemistry Communications2007，9，8：	1
	3	Chloride binding capacity of various hydrated cement paste systems 显示文摘	Anik D Jacques M Jean-Pierre O	1997	Advanced Cement Based Materials1997，6，1：	1
	4	The learning curve in endoscopic pituitary sugery and our experience显示文摘	Koc K Anik I Ozdamar D	2006	Neurosurg Rev2006，29，4：	1
	5	Development of a microbial biosensor based on carbon nanotube (CNT)modified electrodes显示文摘	Timur S Anik U Odaci D		0，，08：	1
	6	Endemic carbapenem-resistant A cinetobacter species in Brooklyn, New York:citywide prevalence,interinstitutional spread, and relation to antibiotic usage 显示文摘	M anikal V M L andman D Saurina G	2000	Clin Infect Dis2000，31，：	1
	7	Spatial navigation related to the ratio of second to fourth digit length in women显示文摘	árpád Csathó Anikó Osváth Kázmér Karádi éva Bicsák John Manning János Kállai	2002	Learning and Individual Differences2002，，3：	1
	8	Development of a microbial biosensor based on carbon nanotube (CNT) modified electrodes 显示文摘	Timur S Anik U Odaci D	2007	Electrochemistry Conmmnicatiorts2007，9，8：	1
	9	Input database related uncertainty of Biome-BGCMuSo agroenvironmental model outputs显示文摘Gridded model assessments require at least one climatic and one soil database for carrying out the simulations.There are several parallel soil and climate database development projects that provide sufficient,albeit considerably different,observation based input data for crop model based impact studies.The input database related uncertainty of the Biome-BGCMuSo agro-environmental model outputs was investigated using three and four different gridded climatic and soil databases,respectively covering an area of nearly 100.000 km2 with 1104 grid cells.Spatial,temporal,climate and soil database selection related variances were calculated and compared for four model outputs obtained from 30-year-long simulations.The choice of the input database introduced model output variability that was comparable to the variability the year-to-year change of the weather or the spatial heterogeneity of the soil causes.Input database selection could be a decisive factor in carbon sequestration related studies as the soil carbon stock change estimates may either suggest that the simulated ecosystem is a carbon sink or to the contrary a carbon source on the long run.Careful evaluation of the input database quality seems to be an inevitable and highly relevant step towards more realistic plant production and carbon balance simulations.	Nándor Fodor LászlóPásztor Brigitta Szabó Annamária Laborczi Klára Pokovai Dóra Hidy Roland Hollós Erzsébet Kristóf Anna Kis Laura Dobor AnikóKern Thomas Grünwald Zoltán Barcza	2021	International Journal of Digital Earth2021，14，11：	0

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