Results 61 to 70 of about 2,856,159 (344)
The motion of a leaking oscillator -- a study for the physics class
, 2014 This work is basically about the general form of Newton's second law for variable mass problems. We develop a model for describing the motion of the one-dimensional oscillator with a variable mass within the framework of classroom physics.
Panza, Nelson +3 more
core +1 more source
FEBS Letters, EarlyView.Exposure to common noxious agents (1), including allergens, pollutants, and micro‐nanoplastics, can cause epithelial barrier damage (2) in our body's protective linings. This may trigger an immune response to our microbiome (3). The epithelial barrier theory explains how this process can lead to chronic noncommunicable diseases (4) affecting organs ...
Can Zeyneloglu +17 more
wiley +1 more source
Efficient machine learning of solute segregation energy based on physics-informed features
Scientific Reports, 2023 Machine learning models solute segregation energy based on appropriate features of segregation sites. Lumping many features together can give a decent accuracy but may suffer the curse of dimensionality.
Zongyi Ma, Zhiliang Pan
doaj +1 more source
George Sudarshan: Perspectives and Legacy
Quanta, 2021 George Sudarshan has been hailed as a titan in physics and as one who has made some of the most significant contributions in several areas of physics.
Gopalakrishnan Bhamathi
doaj +1 more source
FEBS Letters, EarlyView.Three‐dimensional (3D) biological systems have become key tools in lymphoma research, offering reliable in vitro and ex vivo platforms to explore pathogenesis and support precision medicine. This review highlights current 3D non‐Hodgkin lymphoma models, detailing their features, advantages, and limitations, and provides a broad perspective on future ...
Carla Faria +3 more
wiley +1 more source
, 2019 Representing the reservoir as a network of discrete compartments with neighbor and non-neighbor connections is a fast, yet accurate method for analyzing oil and gas reservoirs.
Castineira, David +5 more
core +1 more source
From omics to AI—mapping the pathogenic pathways in type 2 diabetes
FEBS Letters, EarlyView.Integrating multi‐omics data with AI‐based modelling (unsupervised and supervised machine learning) identify optimal patient clusters, informing AI‐driven accurate risk stratification. Digital twins simulate individual trajectories in real time, guiding precision medicine by matching patients to targeted therapies.
Siobhán O'Sullivan +2 more
wiley +1 more source
Methods and forms of education in the formation of reading literacy in teaching physics
Вестник Мининского университетаIntroduction. The article is devoted to the actual problem of the formation of reader's literacy. The ability to work with texts is checked in all subjects within the framework of the state final certification for the basic school course and in All ...
N. A. Antonova
doaj +1 more source
Laboratory activities and physics learning at high school: an exploratory study in portuguese settings [PDF]
Investigações em Ensino de Ciências, 2006 In this paper we present findings of an exploratory study, included in a wider investigation which intends to promote meaningful learning of physics concepts, based on experimental work and supported by metacognition tools.
Margarida Saraiva-Neves +2 more
doaj
Nordina: Nordic Studies in Science Education, 2013 This paper reports from a qualitative study of physics students in upper secondary school participating in a camp at the Andøya Rocket Range in Northern Norway.
Hanne Mehli
doaj +1 more source