Recent years have seen the development of a number of automated and semiautomated systems to suppor.docx
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Recent years have seen the development of a number of automated and semiautomated systems to suppor.docx
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Recentyearshaveseenthedevelopmentofanumberofautomatedandsemiautomatedsystemstosuppor
Questionnaireandinterviewsurveyof16contractualrelationships.►Earlyproviderparticipationisassociatedwithlowerfrequenciesofchange.►Clientsmoreoftenthinkthatchangeisduetoincreasedtechnicalunderstanding.►Projectlifecycleofformal/informalinformationaffectsagilepracticestransfer.
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Advancesinon-linemonitoringandcontrolofmammaliancellcultures:
SupportingthePATinitiative ReviewArticle
BiotechnologyAdvances,Volume27,Issue6,November-December2009,Pages726-732
A.P.Teixeira,R.Oliveira,P.M.Alves,M.J.T.Carrondo
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509
TheAttenuationofVeryLowFrequencyBrainOscillationsinTransitionsfromaRestStatetoActiveAttention OriginalResearchArticle
JournalofPsychophysiology,Volume23,Issue4,2010,Pages191-198
SuzannahK.Helps,SamanthaJ.Broyd,ChristopherJ.James,AnkeKarl,EdmundJ.S.Sonuga-Barke
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510
Technologicaladvancementsinsynchronouscollaboration:
Theeffectof3Dvirtualworldsandtangibleuserinterfacesonarchitecturaldesign OriginalResearchArticle
AutomationinConstruction,Volume20,Issue3,May2011,Pages270-278
NingGu,MiJeongKim,MaryLouMaher
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AbstractAbstract|Figures/TablesFigures/Tables|ReferencesReferences
Abstract
Thispaperpresentsandevaluatestwocurrentadvancementsofcollaborativetechnologiesforarchitecturaldesign.Thepaperfocusesontechnologiesthatsupportsynchronousdesigncollaboration,inparticular,3Dvirtualworldsforsupportingremotedesigncollaboration,andtangibleuserinterfaces(TUIs)forenhancingco-locateddesigncollaboration.Bothtechnologiesenabledesignerstocollaboratebyinteractingwith3Dmodelsasthedesignrepresentations.Thepaperanalyzestheeffectofthesetechnologiesondesigncollaborationandcognitionthroughacomprehensiveinterpretationoftheresultsfromtwoindependentstudies.Thesetwostudies,usingprotocolanalysisandeachfocusingonadifferentmodeofdesigncollaboration,providethefoundationforcharacterizingthedesigners'cognition,communicationandinteractionwhenusingthenewtechnologies.The3Dvirtualworldsstudyinvestigatesremotedesigncollaborationina3Dvirtualworldinordertounderstandthechangesofdesignbehaviorwhendesignersarephysicallyremotebutvirtuallyco-locatedasavatarswithintheirdesignrepresentationintheformofa3Dmodel.TheTUIstudymeasurestheeffectofatabletopsystemthatintegratesTUIstogetherwithaugmentedreality(AR)ondesigners'cognitiveactivitiesanddesignprocessinco-locateddesigncollaboration.Finally,theanalysisandcomparisonoftheresultsconvergeinasetofrecommendationsforthefuturedevelopmentofcollaborativedesigntechnologies.
ArticleOutline
1.Introduction
2.Collaborativedesigntechnologiesandprotocolanalysis
2.1.Collaborativedesignstudiesandtechnologies
2.2.Protocolanalysis—amethodforstudyingcognitionindesigncollaboration
3.Supportingremotedesigncollaborationin3dvirtualworlds
3.1.Experimentsandcodingschemedesign
3.2.Protocolanalysisresultsanddiscussion
4.Enhancingco-locateddesigncollaborationwithtangibleuserinterfaces
4.1.Experimentsandcodingschemedesign
4.2.Protocolanalysisresultsanddiscussion
5.Conclusion
References
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Researchhighlights
►Thisresearchanalyzestheeffectoftwocollaborativetechnologies,3Dvirtualworldsandtangibleuserinterfaces,ondesigncollaborationandcognitionusingprotocolanalysis.►Twostudiesfocusingremoteandco-locateddesigncollaborationprovidethefoundationforcharacterizingthedesigners’cognition,communicationandinteractionwhenusingthenewtechnologies.►Thisresearchmakesasetofrecommendationsforthefuturedevelopmentofcollaborativedesigntechnologiesbasedontheanalysisandcomparisonoftheresults.
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SystematicanalysisandpredictionoflongevitygenesinCaenorhabditiselegans OriginalResearchArticle
MechanismsofAgeingandDevelopment,Volume131,Issues11-12,November-December2010,Pages700-709
Yan-HuiLi,Meng-QiuDong,ZhengGuo
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AbstractAbstract|Figures/TablesFigures/Tables|ReferencesReferences
Abstract
Animportanttaskofagingresearchistofindgenesthatregulatelifespan.However,identificationofgenesrelatedtolongevity(referredtoaslongevitygeneshereafter)throughweb-labexperimentssuchasgeneticscreensisatediousandlabor-intensiveactivity.Developinganalgorithmtopredictlongevitygenesshouldfacilitateagingresearch.Inthispaper,wesystematicallyanalyzedpropertiesoflongevitygenesinCaenorhabditiselegansandfoundthat,whencomparedtogenesnotyetknowntobeinvolvedinlongevity,knownlongevitygenesdisplaythefollowingfeatures:
(i)longergenomicsequencesandproteinsequences,(ii)astrongertendencytoco-expresswithothergenesduringatransitionfromdauerstate(anextremelylonglifespan)tonon-dauerstate(anormallifespan),(iii)significantenrichmentincertainfunctionsandRNAiphenotypes,(iv)highersequenceconservation,and(v)higherinseveralnetworktopologicalfeaturessuchasdegreesinafunctionalinteractionnetwork.Basedonthesefeatures,wedevelopedanalgorithmtopredictlongevitygenesinC.elegansandobtained243novellongevitygeneswithaprecisionrateof0.85.Someofthepredictedgeneshavebeenvalidatedbypublishedarticlesorwetlabexperiments.Thecontributionofeachfeaturetothepredictedresultswasalsoevaluated.
ArticleOutline
1.Background
2.Materialsandmethods
2.1.Datasource
2.2.Networkfeaturecomputation
2.3.Conservationscorecomputation
2.4.Positiveandnegativedatasets
2.5.SupportvectormachineandK-nearestneighbor(KNN)classifiers
2.6.Cross-validation
2.7.Featureselection
2.8.Log-oddsscore
2.9.Lifespanassay
2.10.RNAiexperiments
3.Results
3.1.Longevitygenestendtohavelongersequences
3.2.Longevitygenestendtobemoreconserved
3.3.Longevitygenestendtohavecorrelatedexpressions
3.4.Longevitygenesareenrichedforcertainfunctions
3.5.LongevitygenestendtoshowcertainRNAiPhenotypes
3.6.Networktopologicalfeatures
3.7.Classifierandfeatureevaluation
3.8.Applicationsandvalidation
4.Discussions
5.Conclusions
Contributors
Acknowledgements
AppendixA.Supplementarydata
References
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Researchhighlights
PropertiesofC.eleganslongevitygenesweresystematicallyinvestigated.
Keyfeaturesdistinguishinglongevitygenesfromgenesnotyetknowntobeinvolvedinlongevitywerediscovered.
Anefficientalgorithmforthepredictionoflongevitygeneswasdeveloped.
Someofthepredictedgeneshavebeenvalidatedbywet-labexperiments.
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Asimulationmodelforlocalizationofpervasiveobjectsusingheterogeneouswirelessnetworks OriginalResearchArticle
SimulationModellingPracticeandTheory,InPress,AcceptedManuscript,Availableonline27February2011
R.Aversa,B.DiMartino,M.Ficco,S.Venticinque
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AbstractAbstract
Abstract
Positionrepresentsarelevantattributeneededbymanyapplications,whosecontextsarecharacterizedbypervasivenessoftheobjects/thingsintheconsideredscenarios.Inordertoinferpositionsofpervasiveobjects,whichareneitherequippedwithanylocation-sensingtechnologies,norareunabletolocatethemselves,itisneededtosupportthemwithanappropriateinfrastructure,whichallowstodeterminetheirpositioninamannerthatistransparenttoapplications.Inthiswork,weaimatextendingthepositioningserviceusinganagent-basedapproach,inordertodiscoverandlocalizedifferentkindsofobjects,exploitingcheapandembeddedtechnologies.Wedescribethedesignandtheimplementationofalayeredarchitecture,thatsupportsthelocalizationofdevices,andsimplepervasiveandubiquitousobjects.Asimulationtoolhasbeendeveloptoevaluatetheproposedsolutionindifferentapplicationscenariosofevery-daylife.
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513
Intracerebralgammamodulationsrevealinteractionbetweenemotionalprocessingandactionoutcomeevaluationinthehumanorbitofrontalcortex OriginalResearchArticle
InternationalJournalofPsychophysiology,Volume79,Issue1,January2011,Pages64-72
JulienJung,DimitriBayle,KarimJerbi,JuanR.Vidal,Marie-AnneHénaff,TomasOssandon,OlivierBertrand,FrançoisMauguière,Jean-PhilippeLachaux
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AbstractAbstract|Figures/TablesFigures/Tables|ReferencesReferences
Abstract
Theorbitofrontalcortex(OFC)playsakeyrolenotonlyinprocessingemotionsbutalsoinmonitoringperformanceoutcome.Althoughtheneuroanatomicalsubstratesunderlyingeachofthetwoprocesseshavebeenextensivelyinvestigated,theyhavepredominantlybeenprobedseparatelyandthereforeapreciseknowledgeofthefunctionaloverlapwithinthemultipleOFCsub-portionsinvolvedisstilllacking.Here,weexploretheneuraldynamicsmediatingperformancemonitoringandemotionalprocessingusingdirectintracranial
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