0000000000524856

AUTHOR

Bin Peng

showing 3 related works from this author

Analysis of potential dynamic concealed factors in the difficulty of lower third molar extraction

2015

Background The purpose of this study was to identify potential concealed variables associated with the difficulty of lower third molar (M3) extractions. Material and Methods To address the research purpose, we implemented a prospective study and enrolled a sample of subjects presenting for M3 removal. Predictor variables were categorized into Group-I and Group-II, based on predetermined criteria. The primary outcome variable was the difficulty of extraction, measured as extraction time. Appropriate univariate and multivariate statistics were computed using ordinal logistic regression. Results The sample comprised of 1235 subjects with a mean age of 29.49 +/- 8.92 years in Group-I and 26.20 …

AdultMaleMolarMultivariate statisticsTime FactorsMandibleOverbiteYoung Adult03 medical and health sciences0302 clinical medicineCurve of SpeeStatisticsHumansProspective StudiesProspective cohort studyGeneral DentistryOrthodonticsResearchUnivariateRegression analysis030206 dentistry:CIENCIAS MÉDICAS [UNESCO]OtorhinolaryngologyUNESCO::CIENCIAS MÉDICASTooth ExtractionFemaleMolar ThirdSurgeryOrdered logitOral SurgeryPsychology030217 neurology & neurosurgeryMedicina Oral Patología Oral y Cirugia Bucal
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Meta-analysis of the correlation between serum uric acid level and carotid intima-media thickness

2021

Objective Recently, increasing epidemiological evidence has shown that there is a correlation between serum uric acid level (SUA) and carotid intima-media thickness (CIMT). This paper explored the relationship between them through meta-analysis. Methods PubMed, Cochrane Library, EMBASE, Web of Science and Google Scholar were searched to obtain literature. The keywords used to retrieve the literature were carotid intima thickness, intima-media thickness, carotid atherosclerosis, carotid stenosis, carotid artery, uric acid, blood uric acid, and hyperuricaemia. The retrieval time was from the establishment of the database through July 2020. Stata15.0 and RevMan5.3 software were used for stati…

Carotid Artery DiseasesPublication EthicsType 2 diabetes030204 cardiovascular system & hematologyCardiovascular MedicineGastroenterologyVascular MedicineCarotid Intima-Media ThicknessGeographical Locationschemistry.chemical_compound0302 clinical medicineMathematical and Statistical TechniquesMedical ConditionsEndocrinologyMedicine and Health SciencesCarotid Stenosis030212 general & internal medicineResearch IntegrityMultidisciplinaryQStatisticsRMetaanalysisType 2 DiabetesChemistryCarotid ArteriesNeurologyCardiovascular DiseasesMeta-analysisPhysical Sciencescardiovascular systemMedicineResearch Articlemedicine.medical_specialtyChinaAsiaScience PolicyEndocrine DisordersScienceCerebrovascular DiseasesCardiologySubgroup analysisHyperuricemiaResearch and Analysis Methods03 medical and health sciencesInternal medicinemedicineDiabetes MellitusHumanscardiovascular diseasesStatistical Methodsbusiness.industryChemical CompoundsCardiovascular Disease Riskmedicine.diseaseAtherosclerosisConfidence intervalUric AcidIntima-media thicknesschemistryStrictly standardized mean differenceSample size determinationMetabolic DisordersPeople and PlacesUric acidbusinessAcidsMathematicsPLoS ONE
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Radiance-based NIRv as a proxy for GPP of corn and soybean

2020

Abstract Substantial uncertainty exists in daily and sub-daily gross primary production (GPP) estimation, which dampens accurate monitoring of the global carbon cycle. Here we find that near-infrared radiance of vegetation (NIRv,Rad), defined as the product of observed NIR radiance and normalized difference vegetation index, can accurately estimate corn and soybean GPP at daily and half-hourly time scales, benchmarked with multi-year tower-based GPP at three sites with different environmental and irrigation conditions. Overall, NIRv,Rad explains 84% and 78% variations of half-hourly GPP for corn and soybean, respectively, outperforming NIR reflectance of vegetation (NIRv,Ref), enhanced vege…

010504 meteorology & atmospheric sciencesRenewable Energy Sustainability and the EnvironmentPublic Health Environmental and Occupational HealthPrimary productionEnhanced vegetation index010501 environmental sciencesAtmospheric sciences01 natural sciencesNormalized Difference Vegetation IndexCarbon cycleNir reflectanceLinear relationshipPhotosynthetically active radiationRadianceEnvironmental science0105 earth and related environmental sciencesGeneral Environmental ScienceEnvironmental Research Letters
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