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16篇 您的检索式:作者名="Alessandro B A"
    题名 作者 年代 出处 被引量
1Transstornal approach to closure of bronchopleural fistulas after pneumonectomy, A fifteen cases report 显示文摘Vanni B Alborto A Alessandro 2000Lung Cancer2000,29,:1
2Significance of microbial transglutaminase on the sensory, mechanical and crumb grain pattern of enzyme supplemented fresh pan breads显示文摘Concepcion C Clara B Alessandro A 2005J Food Eng2005,70,4:1
3Photonic Boson Sampling in a Tunable Circuit显示文摘Matthew A B Alessandro F Saleh R K 2013Science2013,339,:1
4Multira- dio Resource Management: Parallel Transmis- sion for Higher Throughput显示文摘ALESSANDRO B GIANNI P ORESTE A 2008EURASIP Journal on Advances in Signal Processing2008,,:1
5Natural origin of ascorbic acid:Validation by 13C NMR and IRMS显示文摘ANDREA A ALESSANDRO B GIANCARLO C 2008Food Chemistry2008,112,3:1
6Microstructure of under-cooled Sn-Bi and Al-Si alloys显示文摘ALESSANDRO F DA SILVEIRA WALMAN B DE CASTRO BENEDITO A LUCIANO 2004Materials Science and Engineering A2004,,:1
7Layer-by- layer self-assembled pyrrole-based donor-acceptor chromophores as electro-optic materials显示文摘ANTONIO F ALESSANDRO A LUCA B 2003Chem Mater2003,15,5:1
8The control of selectivity in benzene hydroxylation catalyzed by TS-1 : The solvent effect and the role of crystallite size 显示文摘Barbera D Cavani F Alessandro T D' Rornasari G Guidetti S Aloise A Giordano G Piumetti M Bonelli B Zanzottera C 2010Journal of Catalysis2010,275,1:1
9Alq3:ab initio calculations of its strucrural and electronic properties in neutral and charged states显示文摘ALESSANDRO C MAURO B WANDA A 1998Chemical Physics Letters1998,294,:1
10Effects of rhizo deposition of non-transgcnic and transplastomic tobaccos on the soil bacterial community显示文摘Lorenzo B Aurora R Alessandro A 2008Environmental Biosafety Rearch2008,7,1:1
11Off-farm labour decision of Canadian farm operators: urbanization effects and rural labour market linkages显示文摘Alessandro A Alfons W Ray D B 2009Journal of Rural Studies2009,25,:1
12Plasma-derived clotting factor Ⅷ:Heterogeneity evaluation in the quest for po- tential inhibitory-antibody stimulating factors 显示文摘D'Amici GM1 Blasi B D'Alessandro A 2011Electrophore- sis2011,32,21:1
13Rapid meth-ods to extract DNA and RNA from Cryptococcus neoformans显示文摘Alessandro B A Silvia S B Roberta P B 2001J FEMS Yeast Research2001,1,3:1
14Surgical repair of transplant renal artery stenosis with preserved cadaveric iliac artery grafts显示文摘SHAMES B D ODERICO J S ALESSANDRO A M 2003Ann Surg2003,23,1:1
15Improving wood volume predictions in dry tropical forest in the semi-arid Brazil显示文摘The volumetric variability of dry tropical forests in Brazil and the scarcity of studies on the subject show the need for the development of techniques that make it possible to obtain adequate and accurate wood volume estimates.In this study,we analyzed a database of thinning trees from a forest management plan in the Contendas de SincoráNational Forest,southwestern Bahia State,Brazil.The data set included a total of 300 trees with a trunk diameter ranging from 5 to 52 cm.Adjustments,validation and statistical selection of four volumetric models were performed.Due to the difference in height values for the same diameter and the low correlation between both variables,we do not suggest models which only use the diameter at breast height(DBH)variable as a predictor because they accommodate the largest estimation errors.In comparing the best single entry model(Hohenald-Krenn)with the Spurr model(best fit model),it is noted that the exclusion of height as a predictor causes the values of 136.44 and 0.93 for Akaike information criterion(AIC)and adjusted determination coefficient(R2 adj),which are poorer than the second best model(Schumacher-Hall).Regarding the minimum sample size,errors in estimation(root mean square error(RMSE)and bias)of the best model decrease as the sample size increases,especially when a larger number of trees with DBH≥15.0 cm are randomly sampled.Stratified sampling by diameter class produces smaller volume prediction errors than random sampling,especially when considering all trees.In summary,the Spurr and Schumacher-Hall models perform better.These models suggest that the total variance explained in the estimates is not less than 95%,producing reliable forecasts of the total volume with shell.Our estimates indicate that the bias around the average is not greater than 7%.Our results support the decision to use regression methods to build models and estimate their parameters,seeking stratification strategies in diameter classes for the sample trees.Volume estimates with valid confidence intervals can be obtained using the Spurr model for the studied dry forest.Stratified sampling of the data set for model adjustment and selection is necessary,since we find significant results with mean error square root values and bias of up to 70%of the total database.Robson B de LIMA Patrícia A B BARRETO-GARCIA Alessandro de PAULA Jhuly E S PEREIRA Flávia F de CARVALHO Silvio H M GOMES 2020Journal of Arid Land2020,12,6:0
16The Global Soil Mycobiome consortium dataset for boosting fungal diversity research显示文摘Fungi are highly important biotic components of terrestrial ecosystems,but we still have a very limited understanding about their diversity and distribution.This data article releases a global soil fungal dataset of the Global Soil Mycobiome consortium(GSMc)to boost further research in fungal diversity,biogeography and macroecology.The dataset comprises 722,682 fungal operational taxonomic units(OTUs)derived from PacBio sequencing of full-length ITS and 18S-V9 variable regions from 3200 plots in 108 countries on all continents.The plots are supplied with geographical and edaphic metadata.The OTUs are taxonomically and functionally assigned to guilds and other functional groups.The entire dataset has been corrected by excluding chimeras,index-switch artefacts and potential contamination.The dataset is more inclusive in terms of geographical breadth and phylogenetic diversity of fungi than previously published data.The GSMc dataset is available over the PlutoF repository.Leho Tedersoo Vladimir Mikryukov Sten Anslan Mohammad Bahram Abdul Nasir Khalid Adriana Corrales Ahto Agan Aída-M.Vasco-Palacios Alessandro Saitta Alexandre Antonelli Andrea C.Rinaldi Annemieke Verbeken Bobby P.Sulistyo Boris Tamgnoue Brendan Furneaux Camila Duarte Ritter Casper Nyamukondiwa Cathy Sharp César Marín D.Q.Dai Daniyal Gohar Dipon Sharmah Elisabeth Machteld Biersma Erin K.Cameron Eske De Crop Eveli Otsing Evgeny A.Davydov Felipe E.Albornoz Francis Q.Brearley Franz Buegger Genevieve Gates Geoffrey Zahn Gregory Bonito Indrek Hiiesalu Inga Hiiesalu Irma Zettur Isabel C.Barrio Jaan Pärn Jacob Heilmann-Clausen Jelena Ankuda John Y.Kupagme Joosep Sarapuu Jose G.Maciá-Vicente Joseph Djeugap Fovo József Geml Juha M.Alatalo Julieta Alvarez-Manjarrez Jutamart Monkai Kadri Põldmaa Kadri Runnel Kalev Adamson Kari A.Bråthen Karin Pritsch Kassim I.Tchan Kęstutis Armolaitis Kevin D.Hyde Kevin K.Newsham Kristel Panksep Lateef A.Adebola Louis J.Lamit Malka Saba Marcela Eda Silva Cáceres Maria Tuomi Marieka Gryzenhout Marijn Bauters Miklós Bálint Nalin Wijayawardene Niloufar Hagh-Doust Nourou S.Yorou Olavi Kurina Peter E.Mortimer Peter Meidl RHenrik Nilsson Rasmus Puusepp Rebeca Casique-Valdés Rein Drenkhan Roberto Garibay-Orijel Roberto Godoy Saleh Alfarraj Saleh Rahimlou Sergei Põlme Sergey V.Dudov Sunil Mundra Talaat Ahmed Tarquin Netherway Terry W.Henkel Tomas Roslin Vladimir E.Fedosov Vladimir G.Onipchenko WAErandi Yasanthika Young Woon Lim Meike Piepenbring Darta Klavina Urmas Kõljalg Kessy Abarenkov 2021Fungal Diversity2021,,6:0
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