This HTML5 document contains 261 embedded RDF statements represented using HTML+Microdata notation.

The embedded RDF content will be recognized by any processor of HTML5 Microdata.

Namespace Prefixes

PrefixIRI
wdthttp://www.wikidata.org/prop/direct/
wdtnhttp://www.wikidata.org/prop/direct-normalized/
schemahttp://schema.org/
rdfshttp://www.w3.org/2000/01/rdf-schema#
skoshttp://www.w3.org/2004/02/skos/core#
wikibasehttp://wikiba.se/ontology#
phttp://www.wikidata.org/prop/
rdfhttp://www.w3.org/1999/02/22-rdf-syntax-ns#
n6http://rdf.ncbi.nlm.nih.gov/pubchem/reference/
xsdhhttp://www.w3.org/2001/XMLSchema#
n11http://dx.doi.org/10.1002/
wdshttp://www.wikidata.org/entity/statement/
wdhttp://www.wikidata.org/entity/

Statements

Subject Item
wd:Q31119557
rdf:type
wikibase:Item
schema:description
2015 nî lūn-bûn บทความทางวิทยาศาสตร์ artigo científico (publicado na 2015) scienca artikolo scientific article bài báo khoa học επιστημονικό άρθρο article scientifique (publié 2015) научни чланак 2015年論文 article científic 2015年论文 vitenskapelig artikkel teaduslik artikkel 2015年論文 vetenskaplig artikel 2015 թվականի մայիսին հրատարակված գիտական հոդված 2015年论文 научна статия vitskapeleg artikkel 2015年の論文 vedecký článok artigo científico (publicado na 2015) artikulong pang-agham videnskabelig artikel (udgivet 2015) mokslinis straipsnis научни чланак article scientific სამეცნიერო სტატია artykuł naukowy 2015年论文 wetenschappelijk artikel мақолаи илмӣ artículo científico publicado en 2015 2015年論文 ২০১৫-এ প্রকাশিত বৈজ্ঞানিক নিবন্ধ 2015年论文 2015年論文 2015年论文 مقالة علمية (نشرت في 7-5-2015) vědecký článek سائنسی مضمون artigo científico 2015年论文 articolo scientifico bilimsel makale מאמר מדעי artículu científicu espublizáu en 2015 naučni članak artikull shkencor articol științific 2015 թուականի Մայիսին հրատարակուած գիտական յօդուած مقالهٔ علمی мақолаи илмӣ wissenschaftlicher Artikel tieteellinen artikkeli 2015년 논문 научная статья наукова стаття, опублікована в травні 2015 tudományos cikk 2015年論文
p:P577
wds:Q31119557-989BB325-2329-444D-9E07-A4DD492E1AC0
wdt:P577
2015-05-07T00:00:00Z
p:P2860
wds:Q31119557-66014112-BAA0-4BC3-B6E0-BAED28C68836 wds:Q31119557-66DADC9F-44C6-4D2B-A735-B7F473E58B4C wds:Q31119557-5AC73D36-67B1-48F5-9D40-ED41C260EC82 wds:Q31119557-5DB0A891-64EE-4938-B310-74838DA543A0 wds:Q31119557-63D6F0DF-A688-4522-A881-03ECC177CBBE wds:Q31119557-44D80AF5-5424-4DC0-A9C4-8944E4E95A92 wds:Q31119557-49BFFCB5-2C5F-45F6-8CB2-2FF272CE7146 wds:Q31119557-52C77A18-B976-4E45-B9F3-60499D9A3151 wds:Q31119557-54C48D4F-50FF-494A-9190-C3036E0C49D0 wds:Q31119557-41DC3F55-2462-494D-A687-397E77F580FB wds:Q31119557-42104C67-121B-43DC-A450-F514EA76E4B3 wds:Q31119557-422DD93F-3745-42FB-91B2-BDBD6A075980 wds:Q31119557-2D182F1C-CAE2-4999-86E8-9D2294D6861E wds:Q31119557-3C632B24-7032-4AEC-AA0E-C31E123C37CC wds:Q31119557-3ED0C317-245B-460D-A830-A21BB64B95ED wds:Q31119557-22989115-2FCD-4DF6-87F7-931A31162B11 wds:Q31119557-2376A4DA-32AF-4C41-8A21-DFE4645F5283 wds:Q31119557-0ED44CFB-1A9B-4FA0-879A-599E7498EF98 wds:Q31119557-0EDA61E7-BB03-47BC-9D12-C687D877E441 wds:Q31119557-1CD1F3E0-597E-4185-B927-D4DD0A954193 wds:Q31119557-1DB9E690-6E45-4097-8FA5-75CEFFA1C534 wds:Q31119557-08576806-A6E8-48CA-9230-79C8A7C97397 wds:Q31119557-08AAABFF-3036-4988-8446-B09B702A4518 wds:Q31119557-09CB1C98-93EA-4E79-A8D7-C7681AE358D7 wds:Q31119557-B6931C24-D4FC-44A0-A580-69C361C90E46 wds:Q31119557-B88E7782-73A7-4943-BB35-5D1E79DD7198 wds:Q31119557-BF7F1524-BC63-4B38-A33F-AB8DF88531E9 wds:Q31119557-C0788306-2CA4-4952-8B58-708D150F9F6F wds:Q31119557-B239610D-FAF8-4981-BDF6-3741DF321993 wds:Q31119557-B35FA7F9-77F9-4037-ACD9-08E7E2533528 wds:Q31119557-B5CA3AE3-32ED-457D-8181-301CFA250546 wds:Q31119557-B5DDDB46-06B1-4139-ADFC-AB9122423E52 wds:Q31119557-9DBFBF1E-E4A9-4A82-9026-A92A7E26B21B wds:Q31119557-AA3F9E55-5F58-4A51-BF37-C225D800EEDF wds:Q31119557-ACE1203C-E977-4E29-9539-EBEF35FB1EDE wds:Q31119557-999D4D88-99AB-45CA-A551-1F050535FEBA wds:Q31119557-9AEB29E7-54E1-4BEA-842D-A78893ADDFDC wds:Q31119557-9D522771-8DD6-4113-A1A1-B8A2CDB44AA7 wds:Q31119557-9D78E0D2-4492-4FBF-AE5D-DF494D2E4056 wds:Q31119557-8F26EF1B-1BEB-4F19-9BDF-2B390BC9399F wds:Q31119557-98931787-B7E3-438F-8827-7194EE0B3ED6 wds:Q31119557-8A441D4E-A79A-418F-B69A-3543D70135B9 wds:Q31119557-8BB46424-8622-4247-85BC-BEEC1D749B05 wds:Q31119557-8C78AE11-3EA7-4986-A307-85E561261C7E wds:Q31119557-7A74EA07-598A-43C1-B93C-D99388E096A1 wds:Q31119557-7DDE67B7-2F56-4629-9D16-E705E846140A wds:Q31119557-80B32C58-BDD5-4E10-8A08-2937F107F9F8 wds:Q31119557-83A66DF2-E305-46B4-A6A0-C8F27E42C2B7 wds:Q31119557-763C1C57-9894-44CC-A4F0-47F0BFC35575 wds:Q31119557-771566C6-561A-4661-A341-A828DCBC8086 wds:Q31119557-79E274B0-4DDC-4C86-86AB-17A48C475EA5 wds:Q31119557-F6BE4294-F044-4F37-B7FF-8AF065161A53 wds:Q31119557-FBC6DF29-4DCC-48E6-AD6A-360EF8B26EE8 wds:Q31119557-FE968FB4-0046-41EF-8C64-E9F2115E9FF7 wds:Q31119557-FF081D00-E469-42B3-9E3E-1925563512F4 wds:Q31119557-F1161400-C293-4FD5-A7A2-02EE197E5172 wds:Q31119557-F26FD5D8-FB48-42BF-840E-F447202441D3 wds:Q31119557-F32C6F3B-647A-4700-950B-2BF8EBF269E8 wds:Q31119557-F676E332-AD96-4930-8228-8DACD46EEF6F wds:Q31119557-EDC68304-C6FF-4059-B93A-779A3DDBA0EF wds:Q31119557-EEDE191A-789E-4654-A5F9-8DE219621D70 wds:Q31119557-DE92828F-B922-473F-9543-6403A03B9F4C wds:Q31119557-E1B1FFFB-591A-4978-91BA-41482D4378D9 wds:Q31119557-E34107F4-9899-4494-AB2C-BA55C70E8D84 wds:Q31119557-D2BFF0A7-6462-4FAB-A57F-6952F7EECE17 wds:Q31119557-D3FE6B27-D4F1-43FA-BCB5-B3A1FBA3789B wds:Q31119557-D4F39E6D-BC08-4F1E-8728-D54CE27C3E0A wds:Q31119557-D5181011-1508-45EA-AA82-73B5B1A58445 wds:Q31119557-C9AE924C-E601-4FDC-80E5-1939DF2D01FE wds:Q31119557-CF12D986-3B48-4F11-9DBE-C1158210C3E0 wds:Q31119557-D1917259-5BF8-41DD-92CB-867B2AE553F5 wds:Q31119557-01A0D576-0F3B-4A8F-B758-CA42B220B249 wds:Q31119557-05EE9268-BAF4-4E9D-9A2D-31AD53C79DB2 wds:Q31119557-06CC91A6-AB0C-4D67-A5DD-3A7AB918F820 wds:Q31119557-073FCD8A-0D00-481F-9D16-0125A0180E9A wds:Q31119557-00A2A7ED-23BA-47BD-A45E-505F13A390F8 wds:Q31119557-00EEC086-244A-4ACC-BCE4-46D6CEFC10ED
wdt:P2860
wd:Q30827951 wd:Q40198811 wd:Q48303933 wd:Q33577354 wd:Q34321489 wd:Q45959583 wd:Q33504774 wd:Q48124097 wd:Q36088290 wd:Q40476822 wd:Q80157180 wd:Q39932225 wd:Q57789350 wd:Q28140411 wd:Q43627928 wd:Q43558205 wd:Q28649930 wd:Q48114822 wd:Q39122338 wd:Q35557423 wd:Q40457979 wd:Q33317346 wd:Q47225263 wd:Q31051384 wd:Q40250270 wd:Q30664006 wd:Q51963838 wd:Q80113728 wd:Q40839217 wd:Q48152510 wd:Q46259209 wd:Q28842733 wd:Q30782686 wd:Q51910192 wd:Q28842863 wd:Q48303942 wd:Q47280517 wd:Q52077735 wd:Q48959073 wd:Q37568584 wd:Q29615358 wd:Q33862588 wd:Q48680746 wd:Q48567415 wd:Q83323470 wd:Q57819492 wd:Q48245170 wd:Q31100658 wd:Q38478000 wd:Q34581548 wd:Q34707936 wd:Q45965307 wd:Q48542119 wd:Q48532204 wd:Q34285419 wd:Q48481271 wd:Q48272777 wd:Q33437761 wd:Q36394062 wd:Q48524494 wd:Q38423066 wd:Q40004573 wd:Q48403938 wd:Q73948674 wd:Q44335765 wd:Q39750224 wd:Q52078018 wd:Q39896264 wd:Q29615699 wd:Q83309235 wd:Q45964726 wd:Q33987395 wd:Q81035536 wd:Q44109617 wd:Q57677352 wd:Q62968825 wd:Q46734053
p:P2093
wds:Q31119557-5AEC47BB-4304-4B75-8DB2-E62407B7D49B wds:Q31119557-3F69F186-3234-4914-B965-DA211FBAA4E3 wds:Q31119557-DB629DD6-1516-4B0B-A396-787C245B9B12
wdt:P2093
Yoan Brito-Sánchez Artem Cherkasov Carlos Morell Pérez
rdfs:label
Towards Better BBB Passage Prediction Using an Extensive and Curated Data Set. Towards Better BBB Passage Prediction Using an Extensive and Curated Data Set. Towards Better BBB Passage Prediction Using an Extensive and Curated Data Set.
skos:prefLabel
Towards Better BBB Passage Prediction Using an Extensive and Curated Data Set. Towards Better BBB Passage Prediction Using an Extensive and Curated Data Set. Towards Better BBB Passage Prediction Using an Extensive and Curated Data Set.
schema:name
Towards Better BBB Passage Prediction Using an Extensive and Curated Data Set. Towards Better BBB Passage Prediction Using an Extensive and Curated Data Set. Towards Better BBB Passage Prediction Using an Extensive and Curated Data Set.
p:P50
wds:Q31119557-C87024C9-2827-42E1-91AC-7459BB608745 wds:Q31119557-ED2824F7-8CE6-4657-BE2F-6B1CE05FFDB5 wds:Q31119557-8E61F08B-9C7E-4E22-B45B-A0A138D24ED9 wds:Q31119557-B16F803E-AB94-4B3E-BBEB-8C767543BC14
wdt:P50
wd:Q59659976 wd:Q43370901 wd:Q39382967 wd:Q88058353
p:P1476
wds:Q31119557-253A754E-52CF-405C-9F4B-5F121C50A630
wdt:P1476
Towards Better BBB Passage Prediction Using an Extensive and Curated Data Set
p:P304
wds:Q31119557-6C63F02B-D095-4FB0-B2E1-9F8F3B88147B
wdt:P304
308-330
p:P31
wds:Q31119557-757F8E7D-5E2D-4577-A811-4490AA1D05E8
wdt:P31
wd:Q13442814
p:P921
wds:Q31119557-29E83EE9-BCB8-42BE-81D8-874035EFA948
wdt:P921
wd:Q15088675
p:P698
wds:Q31119557-ECBC8D9E-D14C-4B29-BACC-75D6F4B2D5CA
wdtn:P698
n6:27490276
wdt:P698
27490276
p:P1433
wds:Q31119557-0C815413-9077-494B-93B5-70269B9EC70D
wdt:P1433
wd:Q3319476
p:P433
wds:Q31119557-95EDED4C-7612-4A3F-93A3-FD8385F67C3A
p:P478
wds:Q31119557-32021224-F596-42AD-9511-1B71F165330A
wdt:P433
5
wdt:P478
34
p:P356
wds:Q31119557-67FC21D8-6C45-411A-9902-3E8DF3274732
wdtn:P356
n11:MINF.201400118
wdt:P356
10.1002/MINF.201400118