Results 21 to 30 of about 3,619,573 (385)
Improved unsupervised physics‐informed deep learning for intravoxel incoherent motion modeling and evaluation in pancreatic cancer patients [PDF]
Magnetic Resonance in Medicine, 2020 Earlier work showed that IVIM‐NETorig, an unsupervised physics‐informed deep neural network, was faster and more accurate than other state‐of‐the‐art intravoxel‐incoherent motion (IVIM) fitting approaches to diffusion‐weighted imaging (DWI).
M. Kaandorp +7 more
semanticscholar +1 more source
Cellular Membranes, a Versatile Adaptive Composite Material
Frontiers in Cell and Developmental Biology, 2020 Cellular membranes belong to the most vital yet least understood biomaterials of live matter. For instance, its biomechanical requirements substantially vary across species and subcellular sites, raising the question how membranes manage to adjust to ...
Lucas Lamparter +3 more
doaj +1 more source
Jurnal Materi dan Pembelajaran Fisika, 2023 This study aims to describe the characteristics of Exe-Learning based electronic modules on physics material of Regular Circular Motion class X SMA and describe the assessment category of Exe-Learning based electronic modules on Regular Circular Motion ...
Lintang Nurhayati +2 more
doaj +1 more source
PhysGaussian: Physics-Integrated 3D Gaussians for Generative Dynamics [PDF]
Computer Vision and Pattern Recognition, 2023 We introduce PhysGaussian, a new method that seamlessly integrates physically grounded Newtonian dynamics within 3D Gaussians to achieve high-quality novel motion synthe-sis.
Tianyi Xie +6 more
semanticscholar +1 more source
JPFT (Jurnal Pendidikan Fisika dan Teknologi), 2020 Misconceptions are one of the problems that often occur in education. This objected aims to identify misconceptions of pre-service physics teachersââ¬â¢ in motion concept from various representations.
Ahmad Busyairi, Muhammad Zuhdi
doaj +1 more source
Interacting humans use forces in specific frequencies to exchange information by touch
Scientific Reports, 2022 Object-mediated joint action is believed to be enabled by implicit information exchange between interacting individuals using subtle haptic signals within their interaction forces.
C. Colomer +3 more
doaj +1 more source
On Learning Mechanical Laws of Motion From Video Using Neural Networks
IEEE Access, 2023 In computer vision, physics plays an important role in several applications. In this work, we teach a machine to detect the mechanical laws of motion of physical objects using video, and show how the results can be useful for computer vision tasks.
Pradyumna Chari +5 more
doaj +1 more source
4. Epidemics, Regulations, and Aristotle's Physics of Motion
Journal of Interdisciplinary History of Ideas, 2021 The current polarization in public debate surrounding governmental regulatory responses to the Covid-19 pandemic is often portrayed as conflict between individual freedom and state control.
Alessia Pannese
doaj +1 more source
100 years of Einstein's theory of Brownian motion: from pollen grains to protein trains [PDF]
, 2005 Experimental verification of the theoretical predictions made by Albert Einstein in his paper, published in 1905, on the molecular mechanisms of Brownian motion established the existence of atoms.
A Einstein +7 more
core +3 more sources
Pillar of Physics Education: Jurnal Berkala Ilmiah Pendidikan Fisika, 2022 Education in the twenty-first century is significant because it is intended to improve the quality of human resources. Curriculum becomes an expectation in this situation, and it is poured into the shape of instructional plans or programs implemented by ...
Farhannisa Tsalatsiyah +1 more
doaj +1 more source