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| 1 | An empirical evaluation of ac-counting income numbers显示文摘 | Ball R P.Brown | | 0，，06： | 1 |
| 2 | An empirical evaluation of accounting income numbers显示文摘 | Ball R P.Brown | | 0，，02： | 1 |
| 3 | Lessons Learned from Testing the Quality Cost Model of Advanced Practice Nursing (APN) Transitional Care显示文摘 | DorothyBrooten Mary D.Naylor RuthYork Linda P.Brown Barbara HazardMunro Andrea O.Hollingsworth Susan M.Cohen StevenFinkler JanetDeatrick JoAnne M.Youngblut | 2004 | Journal of Nursing Scholarship2004，，4： | 1 |
| 4 | 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 |
| 5 | 查看详情显示文摘 | C.Vecchini L.Chapon P.Brown T.Chatterji S.Park S.W.Cheong and P.Radaelli | | 0，，： | 1 |
| 6 | Functional correlates of skull shape in Chiroptera:feeding and echolocation adaptations显示文摘Morphological,functional,and behavioral adaptations of bats are among the most diverse within mammals.A strong association between bat skull morphology and feeding behavior has been suggested previously.However,morphological variation related to other drivers of adaptation,in particular echolocation,remains understudied.We assessed variation in skull morphology with respect to ecology(diet and emission type)and function(bite force,masticatory muscles and echolocation characteristics)using geometric morphometrics and comparative methods.Our study suggests that variation in skull shape of 10 bat families is the result of adaptations to broad dietary categories and sound emission types(oral or nasal).Skull shape correlates with echolocation parameters only in a subsample of insectivorous species,possibly because they(almost)entirely rely on this sensory system for locating and capturing prey.Insectivores emitting low frequencies are characterized by a ventrally tilted rostrum,a trait not associated with feeding parameters.This result questions the validity of a trade-off between feeding and echolocation function.Our study advances understanding of the relationship between skull morphology and specific features of echolocation and suggests that evolutionary constraints due to echolocation may differ between different groups within the Chiroptera. | Giada GIACOMINI Anthony HERREL Gloriana CHAVERRI Richard P.BROWN Danilo RUSSO Dino SCARAVELLI Carlo MELORO | 2022 | Integrative Zoology2022，17，3： | 1 |
| 7 | Microfabricated intracortical extracellular matrix-microelectrodes for improving neural interfaces显示文摘Intracortical neural microelectrodes,which can directly interface with local neural microcircuits with high spatial and temporal resolution,are critical for neuroscience research,emerging clinical applications,and brain computer interfaces(BCI).However,clinical applications of these devices remain limited mostly by their inability to mitigate inflammatory reactions and support dense neuronal survival at their interfaces.Herein we report the development of microelectrodes primarily composed of extracellular matrix(ECM)proteins,which act as a bio-compatible and an electrochemical interface between the microelectrodes and physiological solution.These ECM-microelectrodes are batch fabricated using a novel combination of micro-transfer-molding and excimer laser micromachining to exhibit final dimensions comparable to those of commercial silicon-based microelectrodes.These are further integrated with a removable insertion stent which aids in intracortical implantation.Results from electrochemical models and in vivo recordings from the rat’s cortex indicate that ECM encapsulations have no significant effect on the electrochemical impedance characteristics of ECM-microelectrodes at neurologically relevant frequencies.ECM-microelectrodes are found to support a dense layer of neuronal somata and neurites on the electrode surface with high neuronal viability and exhibited markedly diminished neuroinflammation and glial scarring in early chronic experiments in rats. | Wen Shen Suradip Das Flavia Vitale Andrew Richardson Akshay Ananthakrishnan Laura A.Struzyna Daniel P.Brown Naixin Song Murari Ramkumar Timothy Lucas DKacy Cullen Brian Litt Mark G.Allen | 2018 | Microsystems & Nanoengineering2018，4，1： | 1 |
| 8 | An empirical evaluation of accounting income numbers显示文摘 | R.Ball P.Brown | | 0，，： | 1 |
| 9 | An empirical evaluation of accounting income numbers显示文摘 | R.Ball P.Brown | | 0，，： | 1 |
| 10 | Phylogenetic Relationships among Chinese Rice Frogs within the Fejervarya limnocharis Species Complex (Amphibia: Dicroglossidae)显示文摘We present a molecular assessment of the widely-distributed ricefrog(Fejervarya limnocharis)which provides many newsamples that add to knowledge of their phylogeography within China and considersgenetic support forfive Chinese species withinthis complex.TwomtDNAfragments from 270 individuals and eight nuclearDNAloci(105 individuals)were sequenced from specimens sampled from across China.Data from nine specimens from China,Indonesia and Japan were also retrieved from previous studies.MtDNAwas informativeabout population divergence within China and indicated one major clade(with four subclades)from South China and the Zhoushan Archipelago,Zhejiang,China,and a second major clade(with eight subclades)from other parts of China.Recent demographic expansions(less than 50ka ago)were detected within three of these 12 subclades,potentially associa ted with lowered sea-levels after marine transgressions.Nota bly,most frogs from the previously unstudied Zhoushan Archipelago(eastern China)were found to be closely related to Japanese populations.BPPand STACEY species delimitation analyses of the multilocus data favoured five candidate species within the complex.Previous work had described Fejervaryamultistriata and F.kawamurai from the Chinese mainland although here we detected considerable genetic divergence within the latter and found that this may be indicative of two species.One of these corresponds to the Zhoushan Archipelago,Zhejiang,China and Japan,and the other from most parts of Chinese mainland.This study provides a large multilocus dataset that contributes to the systematics of this species complex. | Kun YANG Yubin WO Gang SHAO Pinghu LIAO Haojie TONG Richard P.BROWN Yuanting JIN | 2022 | Asian Herpetological Research2022，13，4： | 0 |
| 11 | 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 http://gffzzd3cc09b8251d45dfsbuqb5pcwxknw65w9.ffgz.tsg.suse.edu.cn/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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