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1Liver cirrhosis in HIV‐infected patients: prevalence, aetiology and clinical outcome显示文摘C.Castellares P.Barreiro L.Martín‐Carbonero P.Labarga M. E.Vispo R.Casado L.Galindo P.García‐Gascó J.García‐Samaniego V.Soriano 2007Journal of Viral Hepatitis2007,,3:1
2Response to McAvoy and Tudor-Locke on their commentary on our manuscript:“Association of accelerometer-derived step volume and intensity with hospitalizations and mortality in older adults:A prospective cohort study”显示文摘Dear Editor,We have read with interest the commentary by McAvoy and Tudor-Locke on our article entitled 'Association of accelerometer-derived step volume and intensity with ho spitalizations and mortality in older adults:A prospective cohort study'. The authors expressed some concerns about our methodology used to define accelerometer-derived step intensity and the analytical approach applied in our study.Asier Mañas Borja del Pozo Cruz Ulf Ekelund JoséLosa Reyna Irene Rodríguez Gómez JoséAntonio Carnicero Carreño Leocadio Rodríguez Mañas Francisco J.García García Ignacio Ara 2022Journal of Sport and Health Science2022,11,6:1
3determi-nation of sugars in varieties of chestnut fruits from Galici(a spainP)显示文摘M.M GUEZ BEMARDEZ J.DE LA MONTAN MI-GUELEZ J.GARC QUEIJEIRO.HPLC 0,,:1
4Distinct mechanisms of FAK mechanoactivation by different extracellular matrix proteins显示文摘Introduction Cells can sense and respond to the mechanical microenvironment by converting forces into biochemical signals inside the cells,i.e.mechanotransduction[1-3].Focal adhesions are the major sites of interaction between a cell and its extracellular matrix(ECM)microenvironment,thus outside mechanical signals can be sensed at focal adhesions through transmembrane receptor integrins.In particular,it has been shown that matrix elasticity can control the cell fate[4]by modulating the interactions between ECM proteins and their receptor integrins[5,6].For example,different rigidity of polyacrylamide(PA)gels can lead to different density of ECM ancho-Jihye Seong Arash Tajik Jie Sun Jun-Lin Guan Martin J.Humphries Susan E.Craig Asha Shekaran Andrs J.García Ning Wang Yingxiao Wang 2013医用生物力学2013,28,S1:1
5The significance of giant seismites in the Plio‐Pleistocene Baza palaeo‐lake (S Spain)显示文摘PedroAlfaro LuisGibert MassimoMoretti Francisco J.García‐Tortosa CarlosSanz de Galdeano JesúsGalindo‐Zaldívar ángel C.López‐Garrido 2010Terra Nova2010,,3:1
6A peer-to-peer IPTV service architecture for the IP multimedia subsystem[S]International Journal of Communication Systems显示文摘A.Bikfalvi J.Garc a-Reinoso 0,,:1
7Land cover mapping applications with MODIS:a literature review显示文摘Land use/land cover monitoring and mapping is crucial to efficient management of the land and its resources.Since the late 1980s increased attention has been paid to the use of coarse resolution optical data.The Moderate Resolution Imaging Spectroradiometer(MODIS)has features,which make it particularly suitable to earth characterization purposes.MODIS has 10 products dedicated mainly to land cover characterization and provides three kinds of data:angular,spectral and temporal.MODIS data also includes information about the data quality through the‘Quality Assessment’product.In this paper,we review how MODIS data are used to map land cover including the preferred MODIS products,the preprocessing and classification approaches,the accuracy assessment,and the results obtained.Tziztiki J.Garcıa-Mora Jean-Francois Mas Everett A.Hinkley 2012International Journal of Digital Earth2012,5,1:1
8Modular Spiro Bidentate Nitrogen Ligands – Synthesis, Resolution and Application in Asymmetric Catalysis显示文摘XavierSala Eduardo J.García Suárez ZoraidaFreixa JordiBenet‐Buchholz Piet W. N. M.van Leeuwen 2008Eur J Org Chem2008,,36:1
9Effect of acute ghrelin administration on glycaemia and insulin levels in obese patients显示文摘P.Alvarez‐Castro M. L.Isidro J.García‐Buela C.Dieguez F. F.Casanueva F.Cordido 2006Diabetes Obesity and Metabolism2006,,5:1
10Association of accelerometer-derived step volume and intensity with hospitalizations and mortality in older adults:A prospective cohort study显示文摘Purpose:This study aimed to examine the associations of accelerometer-derived steps volume and intensity with hospitalizations and all-cause mortality in older adults.Methods:This prospective cohort study involved 768 community-dwelling Spanish older adults(78.8±4.9 years,mean±SD;53.9% females)from the Toledo Study for Healthy Aging(2012-2017).The number of steps per day and step cadence(steps/min) were derived from a hip-mounted accelerometer worn for at least 4 days at baseline.Participants were followed-up over a mean period of 3.1 years for hospitalization and 5.7 years for all-cause mortality.Cox proportional hazards regression models were used to estimate the individual and joint associations between daily steps and stepping intensity with hospitalizations and all-cause mortality.Results:Included participants walked 5835± 3445 steps/day with an intensity of 7.3± 4.1 steps/min.After adjusting for age,sex,body mass index(BMI),education,income,marital status and comorbidities,higher step count(hazard ratio(HR)=0.95,95% confidence interval(95%CI:0.90-1.00,and HR=0.87,95%CI:0.81-0.95 per additional 1000 steps) and higher step intensity(HR=0.95,95%CI:0.91-0.99,and HR=0.89,95%CI:0.84-0.95 per each additional step/min) were associated with fewer hospitalizations and all-cause mortality risk,respectively.Compared to the group having low step volume and intensity,individuals in the group having high step volume and intensity had a lower risk of hospitalization(HR=0.72,95%CI:0.52-0.98) and all-cause mortality(HR=0.60,95%CI:0.37-0.98).Conclusion:Among older adults,both high step volume and step intensity were significantly associated with lower hospitalization and all-cause mortality risk.Increasing step volume and intensity may benefit older people.Asier Manas Borja del Pozo Cruz Ulf Ekelund JoséLosa Reyna Irene Rodríguez Gómez JoséAntonio Carnicero Carreno Leocadio Rodríguez Manas Francisco J.García García Ignacio Ara 2022Journal of Sport and Health Science2022,11,5:1
11Assessment of vegetative compatibility of Acremonium cucurbitacearum and Plectosphaerella cucumerina isolates from diseased melon plants*显示文摘P.Abad A.Pérez M. C.Marqués M. J.Vicente B. D.Bruton J.García‐Jiménez 2008EPPO Bulletin2008,,2:1
12Role of von Willebrand factor levels in the prognosis of stage Ⅳ colorectal cancer: Do we have enough evidence?显示文摘TO THE EDITOR Cancer patients usually present a prothrombotic condition.Several clotting-related proteins, such as yon Willebrand factor (vWF), presenting higher plasma concentrations in these patients, may play a key role in this process. Moreover,some of those proteins are currently being characterized as response rate and overall survival markers in metastatic colorectal cancer (MCRC). In this comment article, we discuss the last piece of evidence that supports the use of vWF as a prognostic indicator in MCRC patients, provided by a paper recently published by Wang et al., in the World Journal of Gastroenterology. Summarizing, although vWF should be seriously considered as potential future prognostic and predictive indicator in colorectal cancer, more dynamic and better designed studies in longer series of patients should be conducted before standardizing its universal use among these patients.I.Gil-Bazo J.A Díaz-González J.Rodríguez J.Cortés E.Calvo J. A. Páramo J.García-Foncillas 2005World Journal of Gastroenterology2005,11,38:1
13Parallel droplet microfluidics for high throughput cell encapsulation and synthetic microgel generation显示文摘Cells can be microencapsulated in synthetic hydrogel microspheres(microgels)using droplet microfluidics,but microfluidic devices with a single droplet generating geometry have limited throughput,especially as microgel diameter decreases.Here we demonstrate microencapsulation of human mesenchymal stem cells(hMSCs)in small(o100μm diameter)microgels utilizing parallel droplet generators on a two-layer elastomer device,which has 600% increased throughput vs.single-nozzle devices.Distribution of microgel diameters were compared between products of parallel vs.single-nozzle configurations for two square nozzle widths,35 and 100μm.Microgels produced on parallel nozzles were equivalent to those produced on single nozzles,with substantially the same polydispersity.Microencapsulation of hMSCs was compared for parallel nozzle devices of each width.Thirty five micrometer wide nozzle devices could be operated at twice the cell concentration of 100μm wide nozzle devices but produced more empty microgels than predicted by a Poisson distribution.Hundred micrometer wide nozzle devices produced microgels as predicted by a Poisson distribution.Polydispersity of microgels did not increase with the addition of cells for either nozzle width.hMSCs encapsulated on 35μm wide nozzle devices had reduced viability(~70%)and a corresponding decrease in vascular endothelial growth factor(VEGF)secretion compared to hMSCs cultured on tissue culture(TC)plastic.Encapsulating hMSCs using 100μm wide nozzle devices mitigated loss of viability and function,as measured by VEGF secretion.Devon M.Headen JoséR.García Andrés J.García 2018Microsystems & Nanoengineering2018,4,1:1
14On the Determinants of SME Cash Holdings: Evidence from Spain显示文摘Pedro J.García‐Teruel PedroMartínez‐Solano 2007Journal of Business Finance & Accounting . 2007 (1‐2)2007,,1:1
15An Efficient Real Space Method for Orbital-Free Density-Functional Theory显示文摘We consider the Thomas-Fermi-von Weizsacker energy functional,with the Wang-Teter correction,and present an efficient real space method for Orbital-Free Density Functional Theory.It is proved that the energy minimizer satisfies a second order quasilinear elliptic equation,even at the points where the electron density vanishes.This information is used to construct an efficient energy minimization method for the resulting constrained problem,based on the truncated Newton method for unconstrained optimization.The Wang-Teter kernel is analyzed,and its behavior in real space at short and far distances is determined.A second order accurate discretization of the energy is obtained using finite differences.The efficiency and accuracy of the method is illustrated with numerical simulations in an Aluminium FCC lattice.Carlos J.Garcıa-Cervera 2007Communications in Computational Physics2007,2,2:0
16Vector Spaces of Non-measurable Functions显示文摘We show that there exists an infinite dimensional vector space every non-zero element ofwhich is a non-measurable function.Moreover,this vector space can be chosen to be closed and to havedimension β for any cardinality β.Some techniques involving measure theory and density charactersof Banach spaces are used.Francisco J.GARC■A-PACHECO Juan B.SEOANE-SEP■LVEDA 2006Acta Mathematica Sinica,English Series2006,22,6:0
17Search 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 2020Science China(Physics,Mechanics & Astronomy)2020,63,2:0
18Sequential Multiscale Modeling Using Sparse Representation显示文摘The main obstacle in sequential multiscale modeling is the pre-computation of the constitutive relationwhich often involvesmany independent variables.The constitutive relation of a polymeric fluid is a function of six variables,even after making the simplifying assumption that stress depends only on the rate of strain.Precomputing such a function is usually considered too expensive.Consequently the value of sequential multiscale modeling is often limited to“parameter passing”.Here we demonstrate that sparse representations can be used to drastically reduce the computational cost for precomputing functions of many variables.This strategy dramatically increases the efficiency of sequential multiscale modeling,making it very competitive in many situations.Carlos J.Garcıa-Cervera Weiqing Ren Jianfeng Lu Weinan E 2008Communications in Computational Physics2008,4,10:0
19Distribution, habitat and adaptability of the genus Tapirus显示文摘In this manuscript,as a starting point,the ancient and current distribution of the genus Tapirus are summarized,from its origins,apparently in Europe,to current ranges.Subsequently,original and current tapir habitats are de-scribed,as well as changes in ancient habitats.As the manuscript goes on,we examine the ways in which tapir species interact with their habitats and the main aspects of habitat use,spatial ecology and adaptability.Having reviewed the historic and current distribution of tapirs,as well as their use and selection of habitats,we intro-duce the concept of adaptability,considering that some of the tapir physiological characteristics and behavior-al strategies can reduce the negative impact of habitat alteration and climate change.Finally,we provide rec-ommendations for future research priorities.The conservation community is still missing important pieces of information for the effective conservation of tapirs and their remaining habitats in Central and South America and Southeast Asia.Reconstructing how tapir species reached their current distribution ranges,interpreting how they interact with their habitats and gathering information regarding the strategies they use to cope with habitat changes will increase our understanding about these animals and contribute to the development of conservation strategies.Manolo J.GARCÍA Emília Patrícia MEDICI, Eduardo J.NARANJO Wilson NOVARINO Raquel S.LEONARDO 2012Integrative Zoology2012,7,4:0
20Measurement of Ξcc++ production in pp collisions at s1/2=13 TeV显示文摘The production of ■baryons in proton-proton collisions at a centre-of-mass energy of √s = 13 TeV is measured in the transverse-momentum range 4R.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 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 J.M.Basels G.Bassi V.Batozskaya B.Batsukh A.Battig A.Bay M.Becker F.Bedeschi I.Bediaga A.Beiter L.J.Bel V.Belavin S.Belin V.Bellee K.Belous I.Belyaev G.Bencivenni E.Ben-Haim S.Benson S.Beranek A.Berezhnoy R.Bernet D.Berninghoff H.C.Bernstein C.Bertella E.Bertholet A.Bertolin C.Betancourt F.Betti M.O.Bettler Ia.Bezshyiko S.Bhasin 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