2025
Illustrating the need for centering student identity in universal school-based social and emotional learning
Cipriano C, Ahmad E, McCarthy M, Ha C, Ross A. Illustrating the need for centering student identity in universal school-based social and emotional learning. Social And Emotional Learning Research Practice And Policy 2025, 5: 100088. DOI: 10.1016/j.sel.2025.100088.Peer-Reviewed Original ResearchSEL programsExperiences of studentsStudent identityUniversal school-basedLearning materialsEmotional learningSchool-BasedSchool-based SEL programsEmotional learning programsUniversal SEL programProgramming learning materialsPedagogical practicesWhole schoolSecondary schoolsLearning communityLearning programStudentsSchoolLearningSELResearch practicesDifferential needsIncreasing diversityYears of field workPractice
2024
Semi-supervised machine learning method for predicting homogeneous ancestry groups to assess Hardy-Weinberg equilibrium in diverse whole-genome sequencing studies
Shyr D, Dey R, Li X, Zhou H, Boerwinkle E, Buyske S, Daly M, Gibbs R, Hall I, Matise T, Reeves C, Stitziel N, Zody M, Neale B, Lin X. Semi-supervised machine learning method for predicting homogeneous ancestry groups to assess Hardy-Weinberg equilibrium in diverse whole-genome sequencing studies. American Journal Of Human Genetics 2024, 111: 2129-2138. PMID: 39270648, PMCID: PMC11480788, DOI: 10.1016/j.ajhg.2024.08.018.Peer-Reviewed Original ResearchHardy-Weinberg equilibriumWhole-genome sequencing studiesWhole-genome sequencingHomogeneous ancestryWGS studiesDownstream analysisAssociation analysisPresence of population structureAncestry groupsGenetic ancestry groupsPopulation structureSequencing studiesSelf-reported raceGenetic researchQuality variantsAncestrySubsets of samplesProgram centersVariantsIncreasing diversityHeterogeneous sampleAncestralAssociationGeneticsSequenceCreating diverse and inclusive scientific practices for research datasets and dissemination
Kam J, Badhwar A, Borghesani V, Lee K, Noble S, Raamana P, Ratnanather J, Tan D, Oestreich L, Lee H, Marzetti L, Nakua H, Rippon G, Olsen R, Pozzobon A, Uddin L, Yanes J, Tzovara A. Creating diverse and inclusive scientific practices for research datasets and dissemination. Imaging Neuroscience 2024, 2: 1-14. DOI: 10.1162/imag_a_00216.Commentaries, Editorials and LettersThe profile of blood microbiome in new-onset type 1 diabetes children
Yuan X, Yang X, Xu Z, Li J, Sun C, Chen R, Wei H, Chen L, Du H, Li G, Yang Y, Chen X, Cui L, Fu J, Wu J, Chen Z, Fang X, Su Z, Zhang M, Wu J, Chen X, Zhou J, Luo Y, Zhang L, Wang R, Luo F. The profile of blood microbiome in new-onset type 1 diabetes children. IScience 2024, 27: 110252. PMID: 39027370, PMCID: PMC11255850, DOI: 10.1016/j.isci.2024.110252.Peer-Reviewed Original ResearchBlood microbiomeRRNA gene sequencesMicrobiome of patientsGene sequencesOral microbiomePICRUSt analysisMicrobial featuresMicrobiome signaturesPathogenic bacteriaMicrobiomeTranslocation of bacteriaPotential translocationBacteriaRandom forest analysisType 1 diabetic childrenGutNew-onset T1DDiscriminatory powerType 1 diabetesForest analysisOral cavityIncreasing diversityInduce inflammationPICRUStGenusIntegration policies shape ethnic-racial majorities’ threat reactions to increasing diversity
Kende J, Jacobs D, Green E, Tropp L, Huo Y, Dovidio J, Jiménez T, Schildkraut D, Klein O. Integration policies shape ethnic-racial majorities’ threat reactions to increasing diversity. Science Advances 2024, 10: eadk8556. PMID: 38809972, PMCID: PMC11135425, DOI: 10.1126/sciadv.adk8556.Peer-Reviewed Original ResearchConceptsSecondary analysis of survey dataAnalysis of survey dataFeelings of threatIncreasing diversityIntegration policiesPolicy contextThreat perceptionRacial diversitySurvey dataMinority positionWhite American participantsPolicyEuropean countriesThreat reactionsMajor participantsLesser threatAttitude of nationalismUnited StatesAmerican participantsThreatImmigrantsSecondary analysisNarrativesCountriesParticipants
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