Results 161 to 170 of about 794,564 (269)
A Variational Beam Model for Failure of Cellular and Truss‐Based Architected Materials
Advanced Engineering Materials, EarlyView., 2023 Herein, a versatile and efficient beam modeling framework is developed to predict the nonlinear response and failure of cellular, truss‐based, and woven architected materials. It enables the exploration of their design space and the optimization of their mechanical behavior in the nonlinear regime. A variational formulation of a beam model is presented
Konstantinos Karapiperis +3 more
wiley +1 more source
How Do We Help Students Build Beliefs That Allow Them to Avoid Critical Learning Barriers and Develop A Deep Understanding of Geology? [PDF]
, 2007 Burçkin Dal
openalex +1 more source
Journal of Applied Clinical Medical Physics, EarlyView.Abstract Background This study aims to develop a novel predictive model for determining human papillomavirus (HPV) presence in oropharyngeal cancer using computed tomography (CT). Current image‐based HPV prediction methods are hindered by high computational demands or suboptimal performance.
Junhua Chen +3 more
wiley +1 more source
Deep belief net learning in a long-range vision system for autonomous off-road driving [PDF]
, 2008 Raia Hadsell +5 more
openalex +1 more source
Journal of Applied Clinical Medical Physics, EarlyView.Abstract Purpose The aim of this study was to investigate the influence of the simultaneous multislice acceleration (SMS) technique as well as two‐dimensional (2D) and three‐dimensional (3D) tumor segmentations on radiomics features (RFs) within the parametric maps of cervical cancer, which were computed by intravoxel incoherent motion (IVIM) and ...
Shuangquan Ai +6 more
wiley +1 more source
Teaching Practices that Hinder the Deep Approaches to Learning of Twinning Programme Students in Malaysia: a Qualitative perspective [PDF]
, 2008 Pauline Swee Choo Goh
openalex +1 more source
Journal of Applied Clinical Medical Physics, EarlyView.Abstract Current radiotherapy practices rely on manual contouring of CT scans, which is time‐consuming, prone to variability, and requires highly trained experts. There is a need for more efficient and consistent contouring methods. This study evaluated the performance of the Varian Ethos AI auto‐contouring tool to assess its potential integration into
Robert N. Finnegan +6 more
wiley +1 more source
Relationship of Physical Activity Type, Nutrition, and Bone Mineral Density in Korean Adolescents
Journal of Men's Health, 2017 Bone density reaches its peak in the mid-20s, and it manifests as osteoporosis and osteopenia with aging. Bone density is affected by body mass index, muscle mass, nutritional calcium and vitamin D, various lifestyles, physical activity level, and high ...
Yong Hwan Kim +2 more
doaj
The Deep Versus the Shallow: Effects of Co‐Speech Gestures in Learning From Discourse [PDF]
, 2008 Ilaria Cutica, Monica Bucciarelli
openalex +1 more source
Methods for working with problem residents in medical physics residency education
Journal of Applied Clinical Medical Physics, EarlyView.Abstract Medical physics residency training programs may occasionally encounter residents requiring additional intervention beyond normal training efforts. In the literature, these residents are referred to as “problem” residents. While the physician literature on the subject is valuable, this paper specifically focuses on dealing with a problem ...
Christopher J. Watchman, Dandan Zheng
wiley +1 more source