Results 111 to 120 of about 38,523 (214)
Periodontology 2000, EarlyView.Abstract Background Artificial intelligence (AI) is increasingly gaining attention in the field of periodontology and implant dentistry. Currently developed models can support diagnosis, treatment planning, and maintenance monitoring. However, most of the available literature is based on retrospective and often single‐modality data sets.
Aminollah Khormali +2 more
wiley +1 more source
Persistent diffuse peritonitis in children
The Turkish Journal of Pediatrics, 1998 In adults, persistent diffuse peritonitis (PDP) having a special microbiologic spectrum is now defined as a distinct intraabdominal infection because of its aggressive clinical course.
G Karagüzel +4 more
doaj
The Journal of Physiology, EarlyView.Abstract figure legend Sounds of different frequencies elicit spatially distinct patterns of neural activity within the inferior colliculus aligned to the tonotopic organization of afferent projections. Sound‐evoked neural responses can be visualized in awake mice that express fluorescent Ca2+ sensors.
Patrick D. Parker +2 more
wiley +1 more source
Smartphone‐based proximal sensing as an accessible platform for improved physiological phenotyping
The Plant Phenome Journal, Volume 9, Issue 1, December 2026.Abstract We tested whether smartphone‐based sensing could deliver accurate physiological traits in an accessible and low‐cost platform. A smartphone, carried by someone walking through a field, was used to generate a high‐resolution time series of images for 10 genotypes of cowpea (Vigna unguiculata L. Walp.).
Isaac K. Uyehara +8 more
wiley +1 more source
Supplemental material, sj-docx-1-pdp-10.1177_10935266241238625 for Rising Prevalence of Mild Chronic Gastritis in Children: A Single Center Experience by Rohit Josyabhatla, Mary Lauren Wood, Amber Gafur, Nina Tatevian, Amanda S.
Amber Gafur (18277417) +7 more
core +1 more source
The impact of public drop‐off boxes and autonomous delivery robots in last‐mile delivery
International Transactions in Operational Research, Volume 33, Issue 6, Page 3825-3854, November 2026.Abstract The growing concern over emissions from last‐mile logistics is motivating the development of innovative delivery models aimed at reducing environmental impact and traffic congestion. To this end, we propose a last‐mile delivery scheme based on both public drop‐off boxes and autonomous delivery robots.
Gianpaolo Ghiani +3 more
wiley +1 more source
Machine Learning–Based Optimization of Phthalate Extraction Conditions Using HS‐INME‐GC/MS Data
Journal of Chemometrics, Volume 40, Issue 10, October 2026.ABSTRACT Optimization of extraction conditions in GC/MS analysis remains challenging because experimental variables can interact in complex and nonlinear ways. In this study, a machine learning based chemometric workflow was applied to optimize headspace in‐needle microextraction GC/MS (HS‐INME‐GC/MS) conditions for four phthalates: dimethyl phthalate (
Hyeyoung Jung +2 more
wiley +1 more source
Production, 2010 O Processo de Desenvolvimento de Produtos (PDP) é um procedimento de negócio cada vez mais decisivo nos resultados estratégicos das empresas que dele dependem.
Carlos Alberto Cristofari Júnior +2 more
doaj
Supplemental material, sj-docx-2-pdp-10.1177_10935266241238625 for Rising Prevalence of Mild Chronic Gastritis in Children: A Single Center Experience by Rohit Josyabhatla, Mary Lauren Wood, Amber Gafur, Nina Tatevian, Amanda S.
Amber Gafur (18277417) +7 more
core +1 more source
The Canadian Journal of Chemical Engineering, Volume 104, Issue 10, Page 5641-5673, October 2026.Graphical representation of a data‐driven framework for Fischer‐Tropsch synthesis (FTS) modelling and optimization. Abstract This study presents a data‐driven approach for predicting the relationships between catalyst design, process conditions, and product selectivity in Fischer–Tropsch synthesis (FTS).
Doaa M. Hassan +2 more
wiley +1 more source