Results 271 to 280 of about 964,883 (379)

Unlearning and Deradicalizing From White Christian Nationalism: Implications for Adult Learning and Education

New Directions for Adult and Continuing Education, EarlyView.
ABSTRACT Since the January 2021 attack on the US Capitol, the influence of White Christian nationalism (WCN) has become even more pronounced and concerning. Adult educators and the public need a better understanding of whether and how WCN can be unlearned, and the roles ordinary citizens and adult educators can play in this process.
Esther Prins
wiley   +1 more source

Development and validation of a risk prediction model for premenopausal breast cancer in 19 cohorts. [PDF]

Breast Cancer Res
Brantley KD, Jones ME, Tamimi RM, Rosner BA, Kraft P, Nichols HB, O'Brien KM, Adami HO, Aizpurua A, de Gonzalez AB, Blot WJ, Braaten T, Chen Y, DeHart JC, Dossus L, Elias S, Fortner RT, Garcia-Closas M, Gram IT, Håkansson N, Hankinson SE, Kitahara CM, Koh WP, Linet MS, MacInnis RJ, Masala G, Mellemkjær L, Milne RL, Muller DC, Park HL, Ruddy KJ, Sandin S, Shu XO, Tin Tin S, Truong T, Vachon CM, Vatten LJ, Visvanathan K, Weiderpass E, Willett W, Wolk A, Yuan JM, Zheng W, Sandler DP, Schoemaker MJ, Swerdlow AJ, Eliassen AH.   +46 more
europepmc   +1 more source

Education and midlife cognitive functioning: Evidence from the High School and Beyond cohort. [PDF]

Alzheimers Dement
Muller C, Grodsky E, Brickman AM, Manly JJ, Hung K, Culbertson MJ, Warren JR.   +6 more
europepmc   +1 more source

Multi‐institutional study on image quality for a novel CBCT solution on O‐ring linac

Journal of Applied Clinical Medical Physics, EarlyView.
Abstract Introduction This work presents a multi‐institutional study on image quality provided by a novel cone beam computed tomography (CBCT). The main goal is to investigate the consistency of imaging performance across multiple institutions.
Luis Agulles‐Pedrós, R. Lee MacDonald, Amanda Jean Cherpak, Nayha Dixit, Lei Dong, Tianyu Zhao, Kundan Thind, Anthony Doemer, Boon‐Keng Teo, Shiqin Su, Alexander Moncion, James L. Robar   +11 more
wiley   +1 more source

Cutaneous manifestations of WHIM syndrome. [PDF]

J Dermatol
Adhanom R, Kim C, Strong J, Martinez S, Kong HH, Brownell I, Murphy PM, McDermott DH, Castelo-Soccio L.   +8 more
europepmc   +1 more source

From 2D to 3D gamma passing rate tolerance and action limits for patient‐specific quality assurance in volumetric‐modulated arc therapy

Journal of Applied Clinical Medical Physics, EarlyView.
Abstract Background Volumetric modulated arc therapy (VMAT) requires an accurate patient‐specific quality assurance (PSQA) program. In clinical practice, this is usually performed using the γ‐index and the two‐dimensional gamma passing rate (2D %GP). A three‐dimensional (3D) index incorporating the patient anatomy could be more useful for the 3D dose ...
Christos Zarros, George Patatoukas, Nikos Kollaros, Marina Chalkia, Andromachi Kougioumtzopoulou, Vasilios Kouloulias, Kalliopi Platoni   +6 more
wiley   +1 more source

DNA adducts form in mouse lung and liver after oral naphthalene exposure. [PDF]

Toxicol Sci
Domanico MC, Collette NM, Ubick E, Ding X, Buchholz BA, Van Winkle LS.   +5 more
europepmc   +1 more source

A review of artificial intelligence in brachytherapy

Journal of Applied Clinical Medical Physics, EarlyView.
Abstract Artificial intelligence (AI) has the potential to revolutionize brachytherapy's clinical workflow. This review comprehensively examines the application of AI, focusing on machine learning and deep learning, in various aspects of brachytherapy.
Jingchu Chen, Richard L. J. Qiu, Tonghe Wang, Shadab Momin, Xiaofeng Yang   +4 more
wiley   +1 more source

Genetically-determined variation in CRP impacts disease activity assessment in rheumatoid arthritis. [PDF]

Rheumatology (Oxford)
Riley TR, Wheeler AM, Cannon GW, Sauer B, Wysham KD, England BR, Wipfler K, Michaud K, March M, Damrauer SM, Verma A, George MD, Mikuls TR, Baker JF.   +13 more
europepmc   +1 more source

A comparative analysis of deep learning architectures with data augmentation and multichannel input for locoregional breast cancer radiotherapy

Journal of Applied Clinical Medical Physics, EarlyView.
Abstract Purpose Studies on deep learning dose prediction increasingly focus on 3D models with multiple input channels and data augmentation, which increases the training time and thus also the environmental burden and hampers the ease of re‐training. Here we compare 2D and 3D U‐Net models with clinical accepted plans to evaluate the appropriateness of
Rosalie Klarenberg, Nienke L. M. Bakx, Coen W. Hurkmans   +2 more
wiley   +1 more source