Zobrazeno 1 - 10
of 66
pro vyhledávání: '"Christopher A. Childs"'
Autor:
Garret N. Curtis, Holly A. Weber, Vy Tran, Christopher A. Childs, Kyungsup Shin, Carlos Garaicoa-Pazmino
Publikováno v:
Applied Sciences, Vol 14, Iss 4, p 1669 (2024)
Background: Scarce evidence is available regarding the occurrence and prevalence of hard/soft tissue deficiencies among patients undergoing surgically assisted rapid maxillary expansion (SARME) as compared to non-surgical rapid maxillary expansion (N
Externí odkaz:
https://doaj.org/article/793002a9dd1740cea0c58f9155427a5b
Publikováno v:
Business Wire (English). 06/08/2023.
Autor:
Brian J. Howe, Chandler Pendleton, Miyuraj Harishchandra Hikkaduwa Withanage, Christopher A. Childs, Erliang Zeng, Arjen van Wijk, Ruurd Hermus, Carmencita Padilla, Jacqueline T. Hecht, Fernando A. Poletta, Iêda M. Orioli, Carmen J. Buxó-Martínez, Frederic Deleyiannis, Alexandre R. Vieira, Azeez Butali, Consuelo Valencia-Ramirez, Claudia Restrepo Muñeton, George L. Wehby, Seth M. Weinberg, Mary L. Marazita, Lina M. Moreno Uribe, Xian-Jin Xie
Publikováno v:
Dentistry Journal, Vol 10, Iss 7, p 128 (2022)
Individuals with orofacial clefting (OFC) have a higher prevalence of tooth agenesis (TA) overall. Neither the precise etiology of TA, nor whether TA occurs in patterns that differ by gender or cleft type is yet known. This meta-analysis aims to iden
Externí odkaz:
https://doaj.org/article/91b389eb162e410caba2b94f455fc1fd
What influences dental students’ attitudes regarding the treatment of older adults? A scoping review
Autor:
Alexandre F Bulgarelli, Camila M Santos, Luísa H N Tôrres, Christopher A Childs, Fernanda L R Souza, Gabriela Hammes Gehrke, Leonardo Marchini
Publikováno v:
Journal of Dental Education.
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::8fe275e88680e70bdbc192b42044f19c
https://doi.org/10.1002/jdd.13193
https://doi.org/10.1002/jdd.13193
Autor:
Eli N. Perencevich, Marin L. Schweizer, Christopher A Childs, Mireia Puig-Asensio, Mary E Kukla, Alexandre R Marra
Publikováno v:
Infection Control & Hospital Epidemiology. 41:1388-1395
Objective:To evaluate the effectiveness of chlorhexidine (CHG) dressings to prevent catheter-related bloodstream infections (CRBSIs).Design:Systematic review and meta-analysis.Methods:We searched PubMed, CINAHL, EMBASE, and ClinicalTrials.gov for stu
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::e22e58a01601669ae619410ecc25914e
https://doi.org/10.1017/ice.2020.356
https://doi.org/10.1017/ice.2020.356
Publikováno v:
Industrial & Engineering Chemistry Research. 58:19760-19766
PEGylation of lignin derivatives has been shown to enhance emulsifying and dispersant activities. Here, the effects of anionic grafts were explored for dispersant activity within Portland cement. K...
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::a451bf6e21c6baed48298db0b5463bde
https://doi.org/10.1021/acs.iecr.9b03973
https://doi.org/10.1021/acs.iecr.9b03973
Autor:
Frederick C. Johlin, Munish Ashat, Arvind R. Murali, Sumant Arora, Christopher A Childs, Jagpal Singh Klair
Publikováno v:
World Journal of Gastroenterology
Background Bilateral vs unilateral biliary stenting is used for palliation in malignant biliary obstruction. No clear data is available to compare the efficacy and safety of bilateral biliary stenting over unilateral stenting. Aim To assess the effic
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::f69dd5d3a59de46e4141d4ffa7eded31
http://europepmc.org/articles/PMC6747295
http://europepmc.org/articles/PMC6747295
Publikováno v:
MRS Communications. 9:806-820
Machine learning (ML) has revolutionized disciplines within materials science that have been able to generate sufficiently large datasets to utilize algorithms based on statistical inference, but for many important classes of materials the datasets r
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::f9a8af8e3a0147e1f41322e4397ac0c8
https://doi.org/10.1557/mrc.2019.90
https://doi.org/10.1557/mrc.2019.90
Autor:
Philip R. LeDuc, Aditya Menon, Christopher M. Childs, Adam W. Feinberg, Jennifer Bone, Newell R. Washburn, Barnabás Póczos
Publikováno v:
ACS biomaterials scienceengineering. 6(12)
A hierarchical machine learning (HML) framework is presented that uses a small dataset to learn and predict the dominant build parameters necessary to print high-fidelity 3D features of alginate hydrogels. We examine the 3D printing of soft hydrogel
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::38918574a2a5d6c0b310c5d933a9bf63
https://pubmed.ncbi.nlm.nih.gov/33320614
https://pubmed.ncbi.nlm.nih.gov/33320614
Publikováno v:
The journal of physical chemistry. B. 124(43)
The glass transition temperature (Tg) is a fundamental property of polymers that strongly influences both mechanical and flow characteristics of the material. In many important polymers, configurat...
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::90487e66675bded027bf93eda2a5d8ca
https://pubmed.ncbi.nlm.nih.gov/32898420
https://pubmed.ncbi.nlm.nih.gov/32898420