John Warren

Jan 7, 2025 | onlinelibrary.wiley.com | John Warren |Jessie Himmelstern |Chandra Muller |Eric Grodsky

ADRD Alzheimer's disease and related dementias AME average marginal effect BMI body mass index HS&B:80 High School and Beyond IE interaction effect IES Institute for Education Sciences PD periodontal disease SES socioeconomic status 1 Introduction Periodontal diseases (PD), including gingivitis and periodontitis, are characterized by an imbalanced or ‘dysbiotic’ oral microbial ecology which elicits chronic gingival inflammation, leading to progressive loss of tooth-supporting structures and...

Oct 8, 2024 | onlinelibrary.wiley.com | John Warren |Oscar Rysavy |Teresa A. Marshall |Casey Delaney

INTRODUCTION Dental caries is one of the most prevalent diseases in the world, affecting billions of people worldwide, including 90% of the U.S. adult population age 20–64 years [1]. The most recent data from the National Health and Nutrition Examination Survey (NHANES) indcated that while caries experience increased with age during adulthood, prevalence of caries among the youngest adults aged 20–34 years was high—82%.

Sep 7, 2024 | onlinelibrary.wiley.com | Gurjot Bhatia |Steven Levy |John Warren |Oscar Rysavy

INTRODUCTION Despite advances in oral health, dental caries is one of the most common, chronic, and debilitating conditions among children and adults [1]. Community water fluoridation has been recognized as the most cost-effective method of delivering fluoride [2] and to reduce tooth decay by 25% in children and adults [2, 3].

Jun 14, 2024 | mdpi.com | Yanita Yankova Yankova |Silvia Cirstea |Michael Cole |John Warren

1. IntroductionFire investigation is considered one of the most challenging forensic science disciplines. Current gas chromatographic and spectroscopic analytical methods in fire investigation cannot discriminate or individualize petrol sources based on class compounds within the petrol samples from the fire scene to give an indication of the country of origin, refinery (source), natural weathering/age or fire exposure.

May 1, 2024 | preprints.org | Yanita Yankova Yankova |Silvia Cirstea |Michael Cole |John Warren

Preprint Article Version 1 This version is not peer-reviewed Version 1 : Received: 30 April 2024 / Approved: 30 April 2024 / Online: 1 May 2024 (07:38:51 CEST) Yankova, Y.Y.; Cirstea, S.; Cole, M.; Warren, J. Identification and Discrimination of Petrol Sources by Nuclear Magnetic Resonance Spectroscopy and Machine Learning in Fire Debris Analysis. Preprints 2024, 2024050031. https://doi.org/10.20944/preprints202405.0031.v1 Yankova, Y.Y.; Cirstea, S.; Cole, M.; Warren, J.