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| 1 | Cyclin D1,p53,MIB1,intratumoral microvessel density,and human papillomavirus in advanced laryngeal carcinoma:association with nodal metastasis显示文摘 | Kumar RV Shenoy AM Daniel R | 2004 | Otolaryngol Head Neck Surg2004，131，4： | 1 |
| 2 | Comparison of real-time three-dimensional echocardiography to magnetic resonance imaging for assessment of left ventricular mass显示文摘 | Annemien E van den B Danielle RV Boudewijn JK | 2006 | Am J Cardiol2006，97，： | 1 |
| 3 | An analysis of forest restoration 120 years after reforestation on badlands in the South-western Alps显示文摘 | Daniel RV James A Marcel B | 2002 | Restoration Ecology2002，，10： | 1 |
| 4 | Real-time transthoracic three-dimensional echocardiographic assessment of left ventricular volume and ejection fraction in congenital heart disease显示文摘 | Annemien E van den B Danielle RV Boudewijn JK | 2006 | J Am Soc Echocardiogr2006，19，： | 1 |
| 5 | Effectiveness of methylprednisolone in the acute phase of spinal cord injuries:a systematic review of randomized controlled trials显示文摘 | Botelho RV Daniel JW Boulosa JL | 2009 | Rev Assoc Med Bras2009，55，6： | 1 |
| 6 | FungalTraits:a user-friendly traits database of fungi and fungus-like stramenopiles显示文摘The cryptic lifestyle of most fungi necessitates molecular identification of the guild in environmental studies.Over the past decades,rapid development and affordability of molecular tools have tremendously improved insights of the fungal diversity in all ecosystems and habitats.Yet,in spite of the progress of molecular methods,knowledge about functional properties of the fungal taxa is vague and interpretation of environmental studies in an ecologically meaningful manner remains challenging.In order to facilitate functional assignments and ecological interpretation of environmental studies we introduce a user friendly traits and character database FungalTraits operating at genus and species hypothesis levels.Combining the information from previous efforts such as FUNGuild and FunFun together with involvement of expert knowledge,we reannotated 10,210 and 151 fungal and Stramenopila genera,respectively.This resulted in a stand-alone spreadsheet dataset covering 17 lifestyle related traits of fungal and Stramenopila genera,designed for rapid functional assignments of environmental stud-ies.In order to assign the trait states to fungal species hypotheses,the scientific community of experts manually categorised and assigned available trait information to 697,413 fungal ITS sequences.On the basis of those sequences we were able to summarise trait and host information into 92,623 fungal species hypotheses at 1%dissimilarity threshold. | Sergei Põlme Kessy Abarenkov RHenrik Nilsson Björn D.Lindahl Karina Engelbrecht Clemmensen Havard Kauserud Nhu Nguyen Rasmus Kjøller Scott T.Bates Petr Baldrian Tobias Guldberg Frøslev Kristjan Adojaan Alfredo Vizzini Ave Suija Donald Pfister Hans-Otto Baral Helle Järv Hugo Madrid Jenni Nordén Jian-Kui Liu Julia Pawlowska Kadri Põldmaa Kadri Pärtel Kadri Runnel Karen Hansen Karl-Henrik Larsson Kevin David Hyde Marcelo Sandoval-Denis Matthew E.Smith Merje Toome-Heller Nalin N.Wijayawardene Nelson Menolli Jr Nicole K.Reynolds Rein Drenkhan Sajeewa S.N.Maharachchikumbura Tatiana B.Gibertoni Thomas Læssøe William Davis Yuri Tokarev Adriana Corrales Adriene Mayra Soares Ahto Agan Alexandre Reis Machado Andrés Argüelles-Moyao Andrew Detheridge Angelina de Meiras-Ottoni Annemieke Verbeken Arun Kumar Dutta Bao-Kai Cui C.K.Pradeep César Marín Daniel Stanton Daniyal Gohar Dhanushka N.Wanasinghe Eveli Otsing Farzad Aslani Gareth W.Griffith Thorsten H.Lumbsch Hans-Peter Grossart Hossein Masigol Ina Timling Inga Hiiesalu Jane Oja John Y.Kupagme József Geml Julieta Alvarez-Manjarrez Kai Ilves Kaire Loit Kalev Adamson Kazuhide Nara Kati Küngas Keilor Rojas-Jimenez Krišs Bitenieks Laszlo Irinyi LászlóGNagy Liina Soonvald Li-Wei Zhou Lysett Wagner M.Catherine Aime MaarjaÖpik María Isabel Mujica Martin Metsoja Martin Ryberg Martti Vasar Masao Murata Matthew PNelsen Michelle Cleary Milan C.Samarakoon Mingkwan Doilom Mohammad Bahram Niloufar Hagh-Doust Olesya Dulya Peter Johnston Petr Kohout Qian Chen Qing Tian Rajasree Nandi Rasekh Amiri Rekhani Hansika Perera Renata dos Santos Chikowski Renato L.Mendes-Alvarenga Roberto Garibay-Orijel Robin Gielen Rungtiwa Phookamsak Ruvishika S.Jayawardena Saleh Rahimlou Samantha C.Karunarathna Saowaluck Tibpromma Shawn P.Brown Siim-Kaarel Sepp Sunil Mundra Zhu-Hua Luo Tanay Bose Tanel Vahter Tarquin Netherway Teng Yang Tom May Torda Varga Wei Li Victor Rafael Matos Coimbra Virton Rodrigo Targino de Oliveira Vitor Xavier de Lima Vladimir S.Mikryukov Yongzhong Lu Yosuke Matsuda Yumiko Miyamoto Urmas Kõljalg Leho Tedersoo | 2020 | Fungal Diversity2020，，6： | 1 |
| 7 | Experimental studies on the repair of wounds defect of the trachea and bronchi显示文摘 | Daniel RV Jr Taliaferro RM | 1950 | Chest1950，17，4： | 1 |
| 8 | Effectiveness of methyl-prednisolone in the acute phase of spinal cord injuries:a systematic re-view of randomized controlled trials显示文摘 | Botelho RV Daniel JW Boulosa JL | 2009 | Rev Assoc Med Bras2009，55，6： | 1 |
| 9 | Extracting structural motifs from pair distribution function data of nanostructures using explainable machine learning显示文摘Characterization of material structure with X-ray or neutron scattering using e.g.Pair Distribution Function(PDF)analysis most often rely on refining a structure model against an experimental dataset.However,identifying a suitable model is often a bottleneck.Recently,automated approaches have made it possible to test thousands of models for each dataset,but these methods are computationally expensive and analysing the output,i.e.extracting structural information from the resulting fits in a meaningful way,is challenging.Our Machine Learning based Motif Extractor(ML-MotEx)trains an ML algorithm on thousands of fits,and uses SHAP(SHapley Additive exPlanation)values to identify which model features are important for the fit quality.We use the method for 4 different chemical systems,including disordered nanomaterials and clusters.ML-MotEx opens for a type of modelling where each feature in a model is assigned an importance value for the fit quality based on explainable ML. | Andy S.Anker Emil T.S.Kjær Mikkel Juelsholt Troels Lindahl Christiansen Susanne Linn Skjærvø Mads Ry Vogel Jørgensen Innokenty Kantor Daniel Risskov Sørensen Simon J.L.Billinge Raghavendra Selvan Kirsten M.Ø.Jensen | 2022 | npj Computational Materials2022，，1： | 0 |
| 10 | Correction to:FungalTraits:a user friendly traits database of fungi and fungus-like stramenopiles显示文摘Correction to:Fungal Diversity(2020)105:116 https://doi.org/10.1007/s13225-020-00466-2 There were errors in the name of author LászlóG.Nagy and in affiliation no.31 in the original publication.The original article has been corrected. | Sergei Põlme Kessy Abarenkov RHenrik Nilsson Björn D.Lindahl Karina Engelbrecht Clemmensen Havard Kauserud Nhu Nguyen Rasmus Kjøller Scott T.Bates Petr Baldrian Tobias Guldberg Frøslev Kristjan Adojaan Alfredo Vizzini Ave Suija Donald Pfister Hans-Otto Baral Helle Järv Hugo Madrid Jenni Nordén Jian-Kui Liu Julia Pawlowska Kadri Põldmaa Kadri Pärtel Kadri Runnel Karen Hansen Karl-Henrik Larsson Kevin David Hyde Marcelo Sandoval-Denis Matthew E.Smith Merje Toome-Heller Nalin N.Wijayawardene Nelson Menolli Jr Nicole K.Reynolds Rein Drenkhan Sajeewa S.N.Maharachchikumbura Tatiana B.Gibertoni Thomas Læssøe William Davis Yuri Tokarev Adriana Corrales Adriene Mayra Soares Ahto Agan Alexandre Reis Machado Andrés Argüelles-Moyao Andrew Detheridge Angelina de Meiras-Ottoni Annemieke Verbeken Arun Kumar Dutta Bao-Kai Cui C.K.Pradeep César Marín Daniel Stanton Daniyal Gohar Dhanushka N.Wanasinghe Eveli Otsing Farzad Aslani Gareth W.Griffith Thorsten H.Lumbsch Hans-Peter Grossart Hossein Masigol Ina Timling Inga Hiiesalu Jane Oja John Y.Kupagme József Geml Julieta Alvarez-Manjarrez Kai Ilves Kaire Loit Kalev Adamson Kazuhide Nara Kati Küngas Keilor Rojas-Jimenez Krišs Bitenieks LászlóIrinyi LászlóGNagy Liina Soonvald Li-Wei Zhou Lysett Wagner M.Catherine Aime MaarjaÖpik María Isabel Mujica Martin Metsoja Martin Ryberg Martti Vasar Masao Murata Matthew P.Nelsen Michelle Cleary Milan C.Samarakoon Mingkwan Doilom Mohammad Bahram Niloufar Hagh-Doust Olesya Dulya Peter Johnston Petr Kohout Qian Chen Qing Tian Rajasree Nandi Rasekh Amiri Rekhani Hansika Perera Renata dos Santos Chikowski Renato L.Mendes-Alvarenga Roberto Garibay-Orijel Robin Gielen Rungtiwa Phookamsak Ruvishika S.Jayawardena Saleh Rahimlou Samantha C.Karunarathna Saowaluck Tibpromma Shawn P.Brown Siim-Kaarel Sepp Sunil Mundra Zhu-Hua Luo Tanay Bose Tanel Vahter Tarquin Netherway Teng Yang Tom May Torda Varga Wei Li Victor Rafael Matos Coimbra Virton Rodrigo Targino de Oliveira Vitor Xavier de Lima Vladimir S.Mikryukov Yongzhong Lu Yosuke Matsuda Yumiko Miyamoto Urmas Kõljalg Leho Tedersoo | 2021 | Fungal Diversity2021，，2： | 0 |
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