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15篇 您的检索式:作者名="Yu Sandra"
    题名 作者 年代 出处 被引量
1Novel p19 Protein Engages IL-12p40 to Form a Cytokine, IL-23, with Biological Activities Similar as Well as Distinct from IL-12显示文摘Birgit Oppmann Robin Lesley Bianca Blom Jackie C Timans Yuming Xu Brisdell Hunte Felix Vega Nancy Yu Jing Wang Komal Singh Francesca Zonin Elena Vaisberg Tatyana Churakova Man-ru Liu Daniel Gorman Janet Wagner Sandra Zurawski Yong-Jun Liu John S Abrams Ke 2000Immunity2000,,5:2
2Household biogas use in rural China: A study of opportunities and constraints 显示文摘Yu Chen Gaihe Yang Sandra Sweeney Yongzhong Feng 2010Renewable and Sus- tainable Energy Reviews2010,14,:1
3Rab37 is a novel mast cell specific GTPase localized to secretory granules 显示文摘Masuda Esteban S Luo Ying Yu Sandra 2000FEBS Let ters2000,470,1:1
4Biosynthesis of the ansamycin antibiotic rifamycin: deductions from the molecular analysis of the rif biosynthetic gene cluster of Amycolatopsis mediterranei S699显示文摘Paul R. August Li Tang Yeo J. Yoon Sandra Ning Rolf Müller Tin-Wein Yu Matthew Taylor Dietmar Hoffmann Chun-Gyu Kim Xiaohong Zhang C. Richard Hutchinson Heinz G. Floss 1998Chemistry & Biology1998,,2:1
5Household biogas use in rural China: A study of opportunities and constraints显示文摘Yu Chen Gaihe Yang Sandra Sweeney Yongzhong Feng 2009Renewable and Sustainable Energy Reviews2009,,1:1
6Glycolysis Inhibition and its Effect of Doxorubicin-Resistance in Neuroblastoma显示文摘Jonathan F. Bean Yi-Yong Qui Songtau Yu Sandra Clark Fei Chu Mary Beth Madonna 2014Journal of Pediatric Surgery2014,,:1
7Status and prospects of rural biogas development in China显示文摘Yu Chen Wei Hu Yongzhong Feng Sandra Sweeney 2014Renewable and Sustainable Energy Reviews2014,39,:1
8Household biogas use in rural China : A study of opportunities and con- straints 显示文摘Yu Chen Gaihe Yang Sandra Sweeney 2010Renewable and Sustainable Energy Reviews2010,,14:1
9A New Era for Crew Recovery at Continental Airlines显示文摘Gang Yu Michael Arguello Gao Song Sandra M McCowan Anna White 2003Interfaces2003,33,1:1
10Outcomes of a Two-Tiered Multifaceted Elderly Suicide Prevention Program in a Hong Kong Chinese Community显示文摘Sandra S. Chan Vivian P. Y. Leung Joshua Tsoh S. W. Li C. S. Yu Gabriel K. K. Yu T. K. Poon P. C. Pan W. F. Chan Yeates Conwell Linda C. W. Lam Helen F. K. Chiu 2011American Journal of Geriatric Psychiatry2011,,:1
11Household biogas use in rural China: A study of opportunities and constraints显示文摘Chen Yu Yang Gaihe Sweeney Sandra 2010Renewable and Sustainable Energy Reviews2010,14,1:1
12A new era for crew recovery at continental airlines显示文摘Yu G Michael Arguello Gao S Sandra M McCowan Anna White 2003Interfaces2003,33,1:1
13House- hold biogas use in rural China: A study of opportunities and constraints 显示文摘Chen Yu Yang Gaihe Sweeney Sandra 2010Renewable and Sustainable Energy Reviews2010,14,1:1
14Enabling Virtual Met Masts for wind energy applications through machinelearning-methods显示文摘As wind is the basis of all wind energy projects, a precise knowledge about its availability is needed. For ananalysis of the site-specific wind conditions, Virtual Meteorological Masts (VMMs) are frequently used. VMMsmake use of site calibrated numerical data to provide precise wind estimates during all phases of a wind energyproject. Typically, numerical data are used for the long-term correlation that is required for estimating theyield of new wind farm projects. However, VMMs can also be used to fill data gaps or during the operationalphase as an additional reference data set to detect degrading sensors. The value of a VMM directly dependson its ability and precision to reproduce site-specific environmental conditions. Commonly, linear regressionis used as state of the art to correct reference data to the site-specific conditions. In this study, a frameworkof 10 different machine-learning methods is tested to investigated the benefit of more advanced methods ontwo offshore and one onshore site. We find significantly improving correlations between the VMMs and the reference data when using more advanced methods and present the most promising ones. The K-NearestNeighbors and AdaBoost regressors show the best results in our study, but Multi-Output Mixture of GaussianProcesses is also very promising. The use of more advanced regression models lead to decreased uncertainties;hence those methods should find its way into industrial applications. The recommended regression models canserve as a starting point for the development of end-user applications and services.Sandra Schwegmann Janosch Faulhaber Sebastian Pfaffel Zhongjie Yu Martin Dörenkämper Kristian Kersting Julia Gottschall 2023Energy and AI2023,11,1:0
15Fungal diversity notes 929-1035:taxonomic and phylogenetic contributions on genera and species of fungi显示文摘This article is the ninth in the series of Fungal Diversity Notes,where 107 taxa distributed in three phyla,nine classes,31 orders and 57 families are described and illustrated.Taxa described in the present study include 12 new genera,74 new species,three new combinations,two reference specimens,a re-circumscription of the epitype,and 15 records of sexualasexual morph connections,new hosts and new geographical distributions.Twelve new genera comprise Brunneofusispora,Brunneomurispora,Liua,Lonicericola,Neoeutypella,Paratrimmatostroma,Parazalerion,Proliferophorum,Pseudoastrosphaeriellopsis,Septomelanconiella,Velebitea and Vicosamyces.Seventy-four new species are Agaricus memnonius,A.langensis,Aleurodiscus patagonicus,Amanita flavoalba,A.subtropicana,Amphisphaeria mangrovei,Baorangia major,Bartalinia kunmingensis,Brunneofusispora sinensis,Brunneomurispora lonicerae,Capronia camelliaeyunnanensis,Clavulina thindii,Coniochaeta simbalensis,Conlarium thailandense,Coprinus trigonosporus,Liua muriformis,Cyphellophora filicis,Cytospora ulmicola,Dacrymyces invisibilis,Dictyocheirospora metroxylonis,Distoseptispora thysanolaenae,Emericellopsis koreana,Galiicola baoshanensis,Hygrocybe lucida,Hypoxylon teeravasati,Hyweljonesia indica,Keissleriella caraganae,Lactarius olivaceopallidus,Lactifluus midnapurensis,Lembosia brigadeirensis,Leptosphaeria urticae,Lonicericola hyaloseptispora,Lophiotrema mucilaginosis,Marasmiellus bicoloripes,Marasmius indojasminodorus,Micropeltis phetchaburiensis,Mucor orantomantidis,Murilentithecium lonicerae,Neobambusicola brunnea,Neoeutypella baoshanensis,Neoroussoella heveae,Neosetophoma lonicerae,Ophiobolus malleolus,Parabambusicola thysanolaenae,Paratrimmatostroma kunmingensis,Parazalerion indica,Penicillium dokdoense,Peroneutypa mangrovei,Phaeosphaeria cycadis,Phanerochaete australosanguinea,Plectosphaerella kunmingensis,Plenodomus artemisiae,P.lijiangensis,Proliferophorum thailandicum,Pseudoastrosphaeriellopsis kaveriana,Pseudohelicomyces menglunicus,Pseudoplagiostoma mangiferae,Robillarda mangiferae,Roussoella elaeicola,Russula choptae,R.uttarakhandia,Septomelanconiella thailandica,Spencermartinsia acericola,Sphaerellopsis isthmospora,Thozetella lithocarpi,Trechispora echinospora,Tremellochaete atlantica,Trichoderma koreanum,T.pinicola,T.rugulosum,Velebitea chrysotexta,Vicosamyces venturisporus,Wojnowiciella kunmingensis and Zopfiella indica.Three new combinations are Baorangia rufomaculata,Lanmaoa pallidorosea and Wojnowiciella rosicola.The reference specimens of Canalisporium kenyense and Tamsiniella labiosa are designated.The epitype of Sarcopeziza sicula is re-circumscribed based on cyto-and histochemical analyses.The sexual-asexual morph connection of Plenodomus sinensis is reported from ferns and Cirsium for the first time.In addition,the new host records and country records are Amanita altipes,A.melleialba,Amarenomyces dactylidis,Chaetosphaeria panamensis,Coniella vitis,Coprinopsis kubickae,Dothiorella sarmentorum,Leptobacillium leptobactrum var.calidus,Muyocopron lithocarpi,Neoroussoella solani,Periconia cortaderiae,Phragmocamarosporium hederae,Sphaerellopsis paraphysata and Sphaeropsis eucalypticola.Rungtiwa Phookamsak Kevin D.Hyde Rajesh Jeewon D.Jayarama Bhat E.B.Gareth Jones Sajeewa S.N.Maharachchikumbura Olivier Raspe Samantha C.Karunarathna Dhanushka N.Wanasinghe Sinang Hongsanan Mingkwan Doilom Danushka S.Tennakoon Alexandre R.Machado Andre L.Firmino Aniket Ghosh Anuruddha Karunarathna Armin Mesic Arun Kumar Dutta Benjarong Thongbai Bandarupalli Devadatha Chada Norphanphoun Chanokned Senwanna Deping Wei Dhandevi Pem Frank Kwekucher Ackah Gen-Nuo Wang Hong-Bo Jiang Hugo Madrid Hyang Burm Lee Ishani D.Goonasekara Ishara S.Manawasinghe Ivana Kusan Josep Cano Josepa Gene Junfu Li Kanad Das Krishnendu Acharya K.N.Anil Raj K.P.Deepna Latha K.W.Thilini Chethana Mao-Qiang He Margarita Duenas Margita Jadan Maria P.Martin Milan C.Samarakoon Monika C.Dayarathne Mubashar Raza Myung Soo Park M.Teresa Telleria Napalai Chaiwan Neven Matocec Nimali Ide Silva Olinto L.Pereira Paras Nath Singh Patinjareveettil Manimohan Priyanka Uniyal Qiu-Ju Shang Rajendra P.Bhatt Rekhani H.Perera Renato Lucio Mendes Alvarenga Sandra Nogal-Prata Sanjay K.Singh Santhiti Vadthanarat Seung-Yoon Oh Shi-Ke Huang Shiwali Rana Sirinapa Konta Soumitra Paloi Subashini C.Jayasiri Sun Jeong Jeon Tahir Mehmood Tatiana Baptista Gibertoni Thuong T.T.Nguyen Upendra Singh Vinodhini Thiyagaraja V.Venkateswara Sarma Wei Dong Xian-Dong Yu Yong-Zhong Lu Young Woon Lim Yun Chen Zdenko Tkalcec Zhi-Feng Zhang Zong-Long Luo Dinushani A.Daranagama Kasun M.Thambugala Saowaluck Tibpromma Erio Camporesi Timur S.Bulgakov Asha J.Dissanayake Indunil C.Senanayake Dong Qin Dai Li-Zhou Tang Sehroon Khan Huang Zhang Itthayakorn Promputtha Lei Cai Putarak Chomnunti Rui-Lin Zhao Saisamorn Lumyong Saranyaphat Boonmee Ting-Chi Wen Peter E.Mortimer Jianchu Xu 2019Fungal Diversity2019,,2:0
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