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| 1 | The exploitation of epichloae endophytes for agricultural benefit显示文摘Epichloae endophytes of family Clavicipitaceae(comprising genera Epichloëand Neotyphodium)are fungal symbionts of Pooideae grasses.The associations formed,range from mutually beneficial to antagonistic and the nature of this relationship is dependent upon the importance of vertical(via host seeds)versus horizontal(ascospore mediated)transmission of the fungus.These endophytes can enhance their hosts’survival through protection from abiotic and biotic stresses and can thus be utilized in an agricultural context.Animal-safe grass-endophyte associations that confer bio-protective properties for increased pasture persistence and productivity have been developed and commercialized.One of the crucial drivers underpinning the selection of epichloae strains for commercial development is endophyte derived bioactivity.The potential of next generation endophytes is determined by testing a number of attributes such as agronomic fitness,animal and food safety as well as compatibility with host plants of interest.Strategic research supports these activities by focusing on elucidating mechanisms of compatibility between host and fungal symbiont,as well as investigating other molecular drivers of symbiosis such as siderophore mediated iron-uptake,fungal signalling,fungal growth in host plants and fungal secondary metabolism.This review weaves together the different strands of multidisciplinary research aimed at ultimately exploiting epichloae endophytes for increased pasture performance. | Linda J.Johnson Anouck C.M.de Bonth Lyn R.Briggs John R.Caradus Sarah C.Finch Damien J.Fleetwood Lester R.Fletcher David E.Hume Richard D.Johnson Alison J.Popay Brian A.Tapper Wayne R.Simpson Christine R.Voisey Stuart D.Card | 2013 | Fungal Diversity2013，，3： | 5 |
| 2 | Design of high-strength refractory complex solid-solution alloys显示文摘Nickel-based superalloys and near-equiatomic high-entropy alloys containing molybdenum are known for higher temperature strength and corrosion resistance.Yet,complex solid-solution alloys offer a huge design space to tune for optimal properties at slightly reduced entropy.For refractory Mo-W-Ta-Ti-Zr,we showcase KKR electronic structure methods via the coherent-potential approximation to identify alloys over five-dimensional design space with improved mechanical properties and necessary global(formation enthalpy)and local(short-range order)stability.Deformation is modeled with classical molecular dynamic simulations,validated from our first-principle data.We predict complex solid-solution alloys of improved stability with greatly enhanced modulus of elasticity(3×at 300 K)over near-equiatomic cases,as validated experimentally,and with higher moduli above 500 K over commercial alloys(2.3×at 2000 K).We also show that optimal complex solid-solution alloys are not described well by classical potentials due to critical electronic effects. | Prashant Singh Aayush Sharma A.V.Smirnov Mouhamad S.Diallo Pratik K.Ray Ganesh Balasubramanian Duane D.Johnson | 2018 | npj Computational Materials2018，，1： | 2 |
| 3 | Pain relief in upper abdominal malignancy显示文摘The symptom of cancer most feared by many patients is pain. The physical and psychological distress of constant pain without relief should not be underestimated, and all complaints of pain should be actively treated. The clinician should not forget however that drugs used in the treatment | Colin D.Johnson Carol L.Davis | 2006 | Hepatobiliary & Pancreatic Diseases International2006，5，3： | 1 |
| 4 | 有约束力的核安全协定:全球核安全法律框架 | FRANZ-NIKOLAUS FLAKUS LARRY D.JOHNSON | 1998 | 国际原子能机构通报1998，，2： | 1 |
| 5 | Relationship between symptom load of gastro‐oesophageal reflux disease and health‐related quality of life, work productivity, resource utilization and concomitant diseases: survey of a US cohort显示文摘 | P.WAHLQVIST M.KARLSSON D.JOHNSON J.CARLSSON S. C.BOLGE M.‐A.WALLANDER | 2008 | Alimentary Pharmacology & Therapeutics2008，，10： | 1 |
| 6 | The subprime mortgage market:familiar lessons in a new context显示文摘 | Lewis D.Johnson Edwin H.Neave | | 0，，01： | 1 |
| 7 | Bayesian optimization with active learning of design constraints using an entropy-based approach显示文摘The design of alloys for use in gas turbine engine blades is a complex task that involves balancing multiple objectives and constraints.Candidate alloys must be ductile at room temperature and retain their yield strength at high temperatures,as well as possess low density,high thermal conductivity,narrow solidification range,high solidus temperature,and a small linear thermal expansion coefficient.Traditional Integrated Computational Materials Engineering(ICME)methods are not sufficient for exploring combinatorially-vast alloy design spaces,optimizing for multiple objectives,nor ensuring that multiple constraints are met.In this work,we propose an approach for solving a constrained multi-objective materials design problem over a large composition space,specifically focusing on the Mo-Nb-Ti-V-W system as a representative Multi-Principal Element Alloy(MPEA)for potential use in next-generation gas turbine blades.Our approach is able to learn and adapt to unknown constraints in the design space,making decisions about the best course of action at each stage of the process.As a result,we identify 21 Pareto-optimal alloys that satisfy all constraints.Our proposed framework is significantly more efficient and faster than a brute force approach. | Danial Khatamsaz Brent Vela Prashant Singh Duane D.Johnson Douglas Allaire Raymundo Arróyave | 2023 | npj Computational Materials2023，，1： | 1 |
| 8 | Mobility Support in IPv6,RFC3775显示文摘 | D.Johnson | | 0，，： | 1 |
| 9 | Structural,Magnetic and Defect Properties of Co-Pt-type Magnetic-Storage Alloys:a density-functional theory study of thermal processing effects显示文摘 | A.Alam B.Kraczek D.Johnson | | 0，，： | 1 |
| 10 | Accuracy of prediction equations for determining one repetition maximum bench press in women before and after resistance Training显示文摘 | Jerry L.Mayhew Blair D.Johnson Michael J.Lamonte | | 0，，05： | 1 |
| 11 | Basic objects in natural categories显示文摘 | Rosch E C.B.Mervis W.Gray D.Johnson &P.Boyes-Braen | | 0，，03： | 1 |
| 12 | Basic Objects in Natural Categories显示文摘 | Rosch E C.B.Mervis W.Gray D.Johnson P.Boyes-Braem | | 0，，： | 1 |
| 13 | High affinity soluble ILT2 receptor:a potent inhibitor of CD8^(+)T cell activation显示文摘Using directed mutagenesis and phage display on a soluble fragment of the human immunoglobulin superfamily receptor ILT2(synonyms:LIR1,MIR7,CD85j),we have selected a range of mutants with binding affinities enhanced by up to 168,000-fold towards the conserved region of major histocompatibility complex(MHC)class I molecules.Produced in a dimeric form,either by chemical cross-linking with bivalent polyethylene glycol(PEG)derivatives or as a genetic fusion with human IgG Fc-fragment,the mutants exhibited a further increase in ligand-binding strength due to the avidity effect,with resident half-times(t1/2)on the surface of MHC I-positive cells of many hours.The novel compounds antagonized the interaction of CD8 co-receptor with MHC I in vitro without affecting the peptide-specific binding of T-cell receptors(TCRs).In both cytokine-release assays and cell-killing experiments the engineered receptors inhibited the activation of CD8^(+)cytotoxic T lymphocytes(CTLs)in the presence of their target cells,with subnanomolar potency and in a dose-dependent manner.As a selective inhibitor of CD8^(+)CTL responses,the engineered high affinity ILT2 receptor presents a new tool for studying the activation mechanism of different subsets of CTLs and could have potential for the development of novel autoimmunity therapies. | Ruth K.Moysey Yi Li Samantha J.Paston Emma E.Baston Malkit S.Sami Brian J.Cameron Jessie Gavarret Penio Todorov Annelise Vuidepot Steven M.Dunn Nicholas J.Pumphrey Katherine J.Adams Fang Yuan Rebecca E.Dennis Deborah H.Sutton Andy D.Johnson Joanna E.Brewer Rebecca Ashfield Nikolai M.Lissin Bent K.Jakobsen | 2010 | Protein & Cell2010，1，12： | 1 |
| 14 | Fifth-degree elastic energy for predictive continuum stress-strain relations and elastic instabilities under large strain and complex loading in silicon显示文摘Materials under complex loading develop large strains and often phase transformation via an elastic instability,as observed in both simple and complex systems.Here,we represent a material(exemplified for Si I)under large Lagrangian strains within a continuum description by a 5^(th)-order elastic energy found by minimizing error relative to density functional theory(DFT)results. | Hao Chen Nikolai A.Zarkevich Valery I.Levitas Duane D.Johnson Xiancheng Zhang | 2020 | npj Computational Materials2020，，1： | 0 |
| 15 | Author Correction:Design of high-strength refractory complex solid-solution alloys显示文摘Correction to:npj Computational Materials http://gffzzd3cc09b8251d45dfs5vk9w0uffoup6bc0.ffgz.tsg.suse.edu.cn/10.1038/s41524-018-0072-0,Published online 28 March 2018 The caption of Fig.6 and the main text contained an error in the chemical formula of the“(Mo_(z)W_(1−z))_(0.85)Ta_(0.10)(TiZr)_(0.05)”alloy;it has now been corrected to“(Mo_(1−z)W_(z))_(0.85)Ta_(0.10)(TiZr)_(0.05)”.Figure 5 also contained an erroneous text box,which has now been removed.This has now been corrected in both the PDF and HTML version of this article. | Prashant Singh Aayush Sharma A.V.Smirnov Mouhamad S.Diallo Pratik K.Ray Ganesh Balasubramanian Duane D.Johnson | 2018 | npj Computational Materials2018，，1： | 0 |
| 16 | Modelling the potential consequences of adaptive closure management in a penaeid trawl fishery显示文摘Spatial management of fishing effort can be used to avoid catching undesirable size classes for target species,and improve yield-per-recruit for the exploited stock.Adaptive closure management has been proposed as a means to more effectively utilise spatial management,however these management provisions often lack quantitative evaluation which constrains the information available to inform decisions.We demonstrate the use of a spatially and size structured population dynamics model to evaluate the potential impact of spatial management on a multijurisdictional fishery for a highly migratory species(eastern king prawn,Penaeus[Melicertus]plebejus).Under current conditions in the fishery,the overall effect of closures on harvest was estimated to be comparatively minor,regardless of assumptions about how effort or fisher behavior are affected by spatial management.Alternative assumptions about the movement patterns of eastern king prawn had little influence on the impact of closures on overall harvest.However,when effort was increased to historic levels similar to those observed when the closures were implemented,a much greater impact on overall harvest was observed.The approach taken and simulation outcomes are discussed in the context of spatial management for both eastern king prawn,and penaeid fisheries more broadly. | Edward V.Camp Daniel D.Johnson Matthew D.Taylor | 2023 | Aquaculture and Fisheries2023，8，2： | 0 |
| 17 | Disease momentum: Estimating the reproduction number in the presence of superspreading显示文摘A primary quantity of interest in the study of infectious diseases is the average number of new infections that an infected person produces.This so-called reproduction number has significant implications for the disease progression.There has been increasing literature suggesting that superspreading,the significant variability in number of new infections caused by individuals,plays an important role in the spread of SARS-CoV-2.In this paper,we consider the effect that such superspreading has on the estimation of the reproduction number and subsequent estimates of future cases.Accordingly,we employ a simple extension to models currently used in the literature to estimate the reproduction number and present a case-study of the progression of COVID-19 in Austria.Our models demonstrate that the estimation uncertainty of the reproduction number increases with superspreading and that this improves the performance of prediction intervals.Of independent interest is the derivation of a transparent formula that connects the extent of superspreading to the width of credible intervals for the reproduction number.This serves as a valuable heuristic for understanding the uncertainty surrounding diseases with superspreading. | Kory D.Johnson Mathias Beiglböck Manuel Eder Annemarie Grass Joachim Hermisson Gudmund Pammer Jitka Polechova Daniel Toneian Benjamin Wölfl | 2021 | Infectious Disease Modelling2021，6，1： | 0 |
| 18 | Search for the doubly charmed baryon ■显示文摘A search for the doubly charmed baryon ■^+cc is performed through its decay to theΛ^+c K^-π^+ final state,using proton-proton collision data collected with the LHCb detector at centre-of-mass energies of 7,8 and 13 TeV.The data correspond to a total integrated luminosity of 9 fb^-1.No significant signal is observed in the mass range from 3.4 to 3.8 GeV/c^2.Upper limits are set at 95%credibility level on the ratio of the ■^+cc production cross-section times the branching fraction to that ofΛ^+c and ■^++cc baryons.The limits are determined as functions of the ■^+cc mass for different lifetime hypotheses,in the rapidity range from 2.0 to 4.5 and the transverse momentum range from 4 to 15 GeV/c. | R.Aaij C.Abellán Beteta T.Ackernley B.Adeva M.Adinolfi H.Afsharnia C.A.Aidala S.Aiola Z.Ajaltouni S.Akar P.Albicocco J.Albrecht F.Alessio M.Alexander A.Alfonso Albero G.Alkhazov P.Alvarez Cartelle A.A.Alves Jr S.Amato Y.Amhis L.An L.Anderlini G.Andreassi M.Andreotti F.Archilli J.Arnau Romeu A.Artamonov M.Artuso K.Arzymatov E.Aslanides M.Atzeni B.Audurier S.Bachmann J.J.Back S.Baker V.Balagura W.Baldini A.Baranov R.J.Barlow S.Barsuk W.Barter M.Bartolini F.Baryshnikov G.Bassi V.Batozskaya B.Batsukh A.Battig V.Battista A.Bay M.Becker F.Bedeschi I.Bediaga A.Beiter L.J.Bel V.Belavin S.Belin N.Beliy V.Bellee K.Belous I.Belyaev G.Bencivenni E.Ben-Haim S.Benson S.Beranek A.Berezhnoy R.Bernet D.Berninghoff H.C.Bernstein E.Bertholet A.Bertolin C.Betancourt F.Betti M.O.Bettler Ia.Bezshyiko S.Bhasin J.Bhom M.S.Bieker S.Bifani P.Billoir A.Birnkraut A.Bizzeti M.Bjφrn M.P.Blago T.Blake F.Blanc S.Blusk D.Bobulska V.Bocci O.Boente Garcia T.Boettcher A.Boldyrev A.Bondar N.Bondar S.Borghi M.Borisyak M.Borsato J.T.Borsuk T.J.V.Bowcock C.Bozzi S.Braun A.Brea Rodriguez M.Brodski J.Brodzicka A.Brossa Gonzalo D.Brundu E.Buchanan A.Buonaura C.Burr A.Bursche J.S.Butter J.Buytaert W.Byczynski S.Cadeddu H.Cai R.Calabrese S.Cali R.Calladine M.Calvi M.Calvo Gomez A.Camboni P.Campana D.H.Campora Perez L.Capriotti A.Carbone G.Carboni R.Cardinale A.Cardini P.Carniti K.Carvalho Akiba A.Casais Vidal G.Casse M.Cattaneo G.Cavallero R.Cenci J.Cerasoli M.G.Chapman M.Charles Ph.Charpentier G.Chatzikonstantinidis M.Chefdeville V.Chekalina C.Chen S.Chen A.Chernov S.-G.Chitic V.Chobanova M.Chrzaszcz A.Chubykin P.Ciambrone M.F.Cicala X.Cid Vidal G.Ciezarek F.Cindolo P.E.L.Clarke M.Clemencic H.V.Cliff J.Closier J.L.Cobbledick V.Coco J.A.B.Coelho J.Cogan E.Cogneras L.Cojocariu P.Collins T.Colombo A.Comerma-Montells A.Contu N.Cooke G.Coombs S.Coquereau G.Corti C.M.Costa Sobral B.Couturier D.C.Craik J.Crkovska A.Crocombe M.Cruz Torres R.Currie C.L.Da Silva E.Dall'Occo J.Dalseno C.D'Ambrosio A.Danilina P.d'Argent A.Davis O.De Aguiar Francisco K.De Bruyn S.De Capua M.De Cian J.M.De Miranda L.De Paula M.De Serio P.De Simone J.A.de Vries C.T.Dean W.Dean D.Decamp L.Del Buono B.Delaney H.-P.Dembinski M.Demmer A.Dendek V.Denysenko D.Derkach O.Deschamps F.Desse F.Dettori B.Dey A.Di Canto P.Di Nezza S.Didenko H.Dijkstra F.Dordei M.Dorigo A.C.dos Reis L.Douglas A.Dovbnya K.Dreimanis M.W.Dudek L.Dufour G.Dujany P.Durante J.M.Durham D.Dutta R.Dzhelyadin M.Dziewiecki A.Dziurda A.Dzyuba S.Easo U.Egede V.Egorychev S.Eidelman S.Eisenhardt R.Ekelhof S.Ek-In L.Eklund S.Ely A.Ene S.Escher S.Esen T.Evans A.Falabella J.Fan N.Farley S.Farry D.Fazzini M.Feo P.Fernandez Declara A.Fernandez Prieto F.Ferrari L.Ferreira Lopes F.Ferreira Rodrigues S.Ferreres Sole M.Ferrillo M.Ferro-Luzzi S.Filippov R.A.Fini M.Fiorini M.Firlej K.M.Fischer C.Fitzpatrick T.Fiutowski F.Fleuret M.Fontana F.Fontanelli R.Forty V.Franco Lima M.Franco Sevilla M.Frank C.Frei D.A.Friday J.Fu M.Fuehring W.Funk E.Gabriel A.Gallas Torreira D.Galli S.Gallorini S.Gambetta Y.Gan M.Gandelman P.Gandini Y.Gao L.M.Garcia Martin J.Garc'ia Pardi nas B.Garcia Plana F.A.Garcia Rosales J.Garra Tico L.Garrido D.Gascon C.Gaspar D.Gerick E.Gersabeck M.Gersabeck T.Gershon D.Gerstel Ph.Ghez V.Gibson A.Gioventù O.G.Girard P.Gironella Gironell L.Giubega C.Giugliano K.Gizdov V.V.Gligorov C.Gobel D.Golubkov A.Golutvin A.Gomes P.Gorbounov I.V.Gorelov C.Gotti E.Govorkova J.P.Grabowski R.Graciani Diaz T.Grammatico L.A.Granado Cardoso E.Graugés E.Graverini G.Graziani A.Grecu R.Greim P.Griffith L.Grillo L.Gruber B.R.Gruberg Cazon C.Gu E.Gushchin A.Guth Yu.Guz T.Gys T.Hadavizadeh G.Haefeli C.Haen S.C.Haines P.M.Hamilton Q.Han X.Han T.H.Hancock S.Hansmann-Menzemer N.Harnew T.Harrison R.Hart C.Hasse M.Hatch J.He M.Hecker K.Heijhoff K.Heinicke A.Heister A.M.Hennequin K.Hennessy L.Henry J.Heuel A.Hicheur R.Hidalgo Charman D.Hill M.Hilton P.H.Hopchev J.Hu W.Hu W.Huang Z.C.Huard W.Hulsbergen T.Humair R.J.Hunter M.Hushchyn D.Hutchcroft D.Hynds P.Ibis M.Idzik P.Ilten A.Inglessi A.Inyakin K.Ivshin R.Jacobsson S.Jakobsen J.Jalocha E.Jans B.K.Jashal A.Jawahery V.Jevtic F.Jiang M.John D.Johnson C.R.Jones B.Jost N.Jurik S.Kandybei M.Karacson J.M.Kariuki N.Kazeev M.Kecke F.Keizer M.Kelsey M.Kenzie T.Ketel B.Khanji A.Kharisova K.E.Kim T.Kirn V.S.Kirsebom S.Klaver K.Klimaszewski S.Koliiev A.Kondybayeva A.Konoplyannikov P.Kopciewicz R.Kopecna P.Koppenburg I.Kostiuk O.Kot S.Kotriakhova L.Kravchuk R.D.Krawczyk M.Kreps F.Kress S.Kretzschmar P.Krokovny W.Krupa W.Krzemien W.Kucewicz M.Kucharczyk V.Kudryavtsev H.S.Kuindersma G.J.Kunde A.K.Kuonen T.Kvaratskheliya D.Lacarrere G.Lafferty A.Lai D.Lancierini J.J.Lane G.Lanfranchi C.Langenbruch T.Latham F.Lazzari C.Lazzeroni R.Le Gac R.Lefèvre A.Leflat F.Lemaitre O.Leroy T.Lesiak B.Leverington H.Li P.-R.Li X.Li Y.Li Z.Li X.Liang R.Lindner F.Lionetto V.Lisovskyi G.Liu X.Liu D.Loh A.Loi J.Lomba Castro I.Longstaff J.H.Lopes G.Loustau G.H.Lovell Y.Lu D.Lucchesi M.Lucio Martinez Y.Luo A.Lupato E.Luppi O.Lupton A.Lusiani X.Lyu S.Maccolini F.Machefert F.Maciuc V.Macko P.Mackowiak S.Maddrell-Mander L.R.Madhan Mohan O.Maev 37, A.Maevskiy K.Maguire D.Maisuzenko M.W.Majewski S.Malde B.Malecki A.Malinin T.Maltsev H.Malygina G.Manca G.Mancinelli R.Manera Escalero D.Manuzzi D.Marangotto J.Maratas J.F.Marchand U.Marconi S.Mariani C.Marin Benito M.Marinangeli P.Marino J.Marks P.J.Marshall G.Martellotti L.Martinazzoli M.Martinelli D.Martinez Santos F.Martinez Vidal A.Massafferri M.Materok R.Matev A.Mathad Z.Mathe V.Matiunin C.Matteuzzi K.R.Mattioli A.Mauri E.Maurice M.McCann L.Mcconnell A.McNab R.McNulty J.V.Mead B.Meadows C.Meaux N.Meinert D.Melnychuk S.Meloni M.Merk A.Merli D.A.Milanes E.Millard M.-N.Minard O.Mineev L.Minzoni S.E.Mitchell B.Mitreska D.S.Mitzel A.Modden A.Mogini R.D.Moise T.Mombacher I.A.Monroy S.Monteil M.Morandin G.Morello M.J.Morello J.Moron A.B.Morris A.G.Morris R.Mountain H.Mu F.Muheim M.Mukherjee M.Mulder D.Müller J.Müller K.Müller V.Müller C.H.Murphy D.Murray P.Muzzettov P.Naik T.Nakada R.Nandakumar A.Nandi T.Nanut I.Nasteva M.Needham N.Neri S.Neubert N.Neufeld R.Newcombe T.D.Nguyen C.Nguyen-Mau E.M.Niel S.Nieswand N.Nikitin N.S.Nolte A.Oblakowska-Mucha V.Obraztsov S.Ogilvy D.P.O'Hanlon R.Oldeman C.J.G.Onderwater J.D.Osborn A.Ossowska J.M.Otalora Goicochea T.Ovsiannikova P.Owen A.Oyanguren P.R.Pais T.Pajero A.Palano M.Palutan G.Panshin A.Papanestis M.Pappagallo L.L.Pappalardo W.Parker C.Parkes G.Passaleva A.Pastore M.Patel C.Patrignani A.Pearce A.Pellegrino G.Penso M.Pepe Altarelli S.Perazzini D.Pereima P.Perret L.Pescatore K.Petridis A.Petrolini A.Petrov S.Petrucci M.Petruzzo B.Pietrzyk G.Pietrzyk M.Pikies M.Pili D.Pinci J.Pinzino F.Pisani A.Piucci V.Placinta S.Playfer J.Plews M.Plo Casasus F.Polci M.Poli Lener M.Poliakova A.Poluektov N.Polukhina I.Polyakov E.Polycarpo G.J.Pomery S.Ponce A.Popov D.Popov S.Poslavskii K.Prasanth L.Promberger C.Prouve V.Pugatch A.Puig Navarro H.Pullen G.Punzi W.Qian J.Qin R.Quagliani B.Quintana N.V.Raab B.Rachwal J.H.Rademacker M.Rama M.Ramos Pernas M.S.Rangel F.Ratnikov G.Raven M.Ravonel Salzgeber M.Reboud F.Redi S.Reichert F.Reiss C.Remon Alepuz Z.Ren V.Renaudin S.Ricciardi S.Richards K.Rinnert P.Robbe A.Robert A.B.Rodrigues E.Rodrigues J.A.Rodriguez Lopez M.Roehrken S.Roiser A.Rollings V.Romanovskiy M.Romero Lamas A.Romero Vidal J.D.Roth M.Rotondo M.S.Rudolph T.Ruf J.Ruiz Vidal J.Ryzka J.J.Saborido Silva N.Sagidova B.Saitta C.Sanchez Gras C.Sanchez Mayordomo B.Sanmartin Sedes R.Santacesaria C.Santamarina Rios M.Santimaria E.Santovetti G.Sarpis A.Sarti C.Satriano A.Satta M.Saur D.Savrina L.G.Scantlebury Smead S.Schael M.Schellenberg M.Schiller H.Schindler M.Schmelling T.Schmelzer B.Schmidt O.Schneider A.Schopper H.F.Schreiner M.Schubiger S.Schulte M.H.Schune R.Schwemmer B.Sciascia A.Sciubba S.Sellam A.Semennikov A.Sergi N.Serra J.Serrano L.Sestini A.Seuthe P.Seyfert D.M.Shangase M.Shapkin T.Shears L.Shekhtman V.Shevchenko E.Shmanin J.D.Shupperd B.G.Siddi R.Silva Coutinho L.Silva de Oliveira G.Simi S.Simone I.Skiba N.Skidmore T.Skwarnicki M.W.Slater J.G.Smeaton A.Smetkina E.Smith I.T.Smith M.Smith A.Snoch M.Soares L.Soares Lavra M.D.Sokoloff F.J.P.Soler B.Souza De Paula B.Spaan E.Spadaro Norella P.Spradlin F.Stagni M.Stahl S.Stahl P.Stefko S.Stefkova O.Steinkamp S.Stemmle O.Stenyakin M.Stepanova H.Stevens A.Stocchi S.Stone S.Stracka M.E.Stramaglia M.Straticiuc U.Straumann S.Strokov J.Sun L.Sun Y.Sun P.Svihra K.Swientek A.Szabelski T.Szumlak M.Szymanski S.Taneja Z.Tang T.Tekampe G.Tellarini F.Teubert E.Thomas K.A.Thomson M.J.Tilley V.Tisserand S.T'Jampens M.Tobin S.Tolk L.Tomassetti D.Tonelli D.Y.Tou E.Tournefier M.Traill M.T.Tran A.Trisovic A.Tsaregorodtsev G.Tuci A.Tully N.Tuning A.Ukleja A.Usachov A.Ustyuzhanin U.Uwer A.Vagner V.Vagnoni A.Valassi G.Valenti M.van Beuzekom H.Van Hecke E.van Herwijnen C.B.Van Hulse J.van Tilburg M.van Veghel R.Vazquez Gomez P.Vazquez Regueiro C.Vazquez Sierra S.Vecchi J.J.Velthuis M.Veltri A.Venkateswaran M.Vernet M.Veronesi M.Vesterinen J.V.Viana Barbosa D.Vieira M.Vieites Diaz H.Viemann X.Vilasis-Cardona A.Vitkovskiy V.Volkov A.Vollhardt D.Vom Bruch A.Vorobyev V.Vorobyev N.Voropaev R.Waldi J.Walsh J.Wang J.Wang M.Wang Y.Wang Z.Wang D.R.Ward H.M.Wark N.K.Watson D.Websdale A.Weiden C.Weisser B.D.C.Westhenry D.J.White M.Whitehead D.Wiedner G.Wilkinson M.Wilkinson I.Williams M.Williams M.R.J.Williams T.Williams F.F.Wilson M.Winn W.Wislicki M.Witek G.Wormser S.A.Wotton H.Wu K.Wyllie Z.Xiang D.Xiao Y.Xie H.Xing A.Xu L.Xu M.Xu Q.Xu Z.Xu Z.Xu Z.Yang Z.Yang Y.Yao L.E.Yeomans H.Yin J.Yu X.Yuan O.Yushchenko K.A.Zarebski M.Zavertyaev M.Zdybal M.Zeng D.Zhang L.Zhang S.Zhang W.C.Zhang Y.Zhang A.Zhelezov Y.Zheng X.Zhou Y.Zhou X.Zhu V.Zhukov J.B.Zonneveld S.Zucchelli | 2020 | Science China(Physics,Mechanics & Astronomy)2020，63，2： | 0 |
| 19 | Differential subcellular distribution renders HAI-2 a less effective protease inhibitor than HAI-1 in the control of extracellular matriptase proteolytic activity显示文摘The integral membrane,Kunitz-type serine protease inhibitors HAI-1 and HAI-2,can suppress the proteolytic activity of the type 2 transmembrane serine protease matriptase with high specificity and potency.High levels of extracellular matriptase proteolytic activity have,however,been observed in some neoplastic B-cells with high levels of endogenous HAI-2,indicating that HAI-2 may be an ineffective matriptase inhibitor at the cellular level.The different effectiveness of the HAIs in the control of extracellular matriptase proteolytic activity is examined here.Upon inducing matriptase zymogen activation in the HAI Teton Daudi Burkitt lymphoma cells,which naturally express matriptase with very low levels of HAI-2 and no HAI-1,nascent active matriptase was rapidly inhibited or shed as an enzymatically active enzyme.With increasing HAI-1 expression,cellular matriptase-HAI-1 complex increased,and extracellular active matriptase decreased proportionally.Increasing HAI-2 expression,however,resulted in cellular matriptase-HAI-2 complex levels reaching a plateau,while extracellular active matriptase remained high.In contrast to this differential effect,both HAI-1 and HAI-2,even at very low levels,were shown to promote the expression and cell-surface translocation of endogenous matriptase.The difference in the suppression of extracellular active matriptase by the two closely related serine protease inhibitors could result from the primarily cell surface expression of HAI-1 compared to the mainly intracellular localization of HAI-2.The HAIs,therefore,resemble one another with respect to promoting matriptase expression and surface translocation but differ in their effectiveness in the control of extracellular matriptase enzymatic activity. | Yi-Lin Chiu Yi-Ying Wu Robert B.Barndt Yu-Wen Lin Hou-Ping Sytwo Amy Cheng Kacy Yang Khee-Siang Chan Jehng-Kang Wang Michael D.Johnson Chen-Yong Lin | 2022 | Genes & Diseases2022，9，4： | 0 |
| 20 | Design of refractory multi-principal-element alloys for high-temperature applications显示文摘Refractory multi-principal-element alloys(RMPEAs)exhibit high specific strength at elevated temperatures(T).However,current RMPEAs lack a balance of room-temperature(RT)ductility,high-T strength,and high-T creep resistance.Using density-functional theory methods,we scanned composition space using four criteria:(1)formation energies for operational stability:-150250 GPa;(3)inverse Pugh ratio for ductility:G/B<0.57;and(4)high melting points:T_(m)>2500°C.Using rapid bulk alloy synthesis and characterization,we validated theory and down-selected promising alloy compositions and discovered Mo72.3W12.8Ta10.0Ti2.5Zr2.5 having well-balanced RT and high-T mechanical properties.This alloy has comparable high-T compressive strength to well-known MoNbTaW but is more ductile and more creep resistant.It is also superior to a commercial Mo-based refractory alloy and a nickel-based superalloy(Haynes-282)with improved high-T tensile strength and creep resistance. | Gaoyuan Ouyang Prashant Singh Ranran Su Duane D.Johnson Matthew J.Kramer John H.Perepezko Oleg N.Senkov Daniel Miracle Jun Cui | 2023 | npj Computational Materials2023，，1： | 0 |
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