Thirdhand smoke: new evidence, challenges, and future directions
P Jacob III, NL Benowitz, H Destaillats… - Chemical research in …, 2017 - ACS Publications
Thirdhand smoke (THS) is the contamination that persists after secondhand tobacco smoke
has been emitted into air. It refers to the tobacco-related gases and particles that become …
has been emitted into air. It refers to the tobacco-related gases and particles that become …
Using confocal imaging approaches to understand the structure and function of osteocytes and the lacunocanalicular network
SL Dallas, DS Moore - Bone, 2020 - Elsevier
Although overlooked in the past, osteocytes have come to the forefront of skeletal biology
and are now recognized as a key cell type that integrates hormonal, mechanical and other …
and are now recognized as a key cell type that integrates hormonal, mechanical and other …
Adverse health effects of thirdhand smoke: from cell to animal models
The newly identified smoke hazard, thirdhand smoke (THS), has gained public attention in
recent years but its health impact and biological effects are largely unknown. THS may be …
recent years but its health impact and biological effects are largely unknown. THS may be …
Distribution, quantification and toxicity of cinnamaldehyde in electronic cigarette refill fluids and aerosols
RZ Behar, W Luo, SC Lin, Y Wang, J Valle… - Tobacco …, 2016 - tobaccocontrol.bmj.com
Objective The aim of this study was to evaluate the distribution, concentration and toxicity of
cinnamaldehyde in electronic cigarette (e-cigarette) refill fluids and aerosols. Methods The …
cinnamaldehyde in electronic cigarette (e-cigarette) refill fluids and aerosols. Methods The …
Disposable puff bar electronic cigarettes: chemical composition and toxicity of e-liquids and a synthetic coolant
EE Omaiye, W Luo, KJ McWhirter… - Chemical research in …, 2022 - ACS Publications
The popularity of disposable fourth-generation electronic cigarettes (ECs) among young
adults and adolescents has been increasing since the ban on flavored cartridge EC …
adults and adolescents has been increasing since the ban on flavored cartridge EC …
Optical-flow based non-invasive analysis of cardiomyocyte contractility
Abstract Characterization of cardiomyocyte beat patterns is needed for quality control of cells
intended for surgical injection as well as to establish phenotypes in disease modeling or …
intended for surgical injection as well as to establish phenotypes in disease modeling or …
[HTML][HTML] Deep vector-based convolutional neural network approach for automatic recognition of colonies of induced pluripotent stem cells
MS Kavitha, T Kurita, SY Park, SI Chien, JS Bae… - PloS one, 2017 - journals.plos.org
Pluripotent stem cells can potentially be used in clinical applications as a model for studying
disease progress. This tracking of disease-causing events in cells requires constant …
disease progress. This tracking of disease-causing events in cells requires constant …
W and Z boson production in p-Pb collisions at TeV
J Adam, D Adamová, MM Aggarwal… - Journal of High Energy …, 2017 - Springer
A bstract The W and Z boson production was measured via the muonic decay channel in
proton-lead collisions at\(\sqrt {s_ {\mathrm {NN}}}= 5.02\) TeV at the Large Hadron Collider …
proton-lead collisions at\(\sqrt {s_ {\mathrm {NN}}}= 5.02\) TeV at the Large Hadron Collider …
Iterative pseudo balancing for stem cell microscopy image classification
Many critical issues arise when training deep neural networks using limited biological
datasets. These include overfitting, exploding/vanishing gradients and other inefficiencies …
datasets. These include overfitting, exploding/vanishing gradients and other inefficiencies …
Generative adversarial networks for morphological–temporal classification of stem cell images
Frequently, neural network training involving biological images suffers from a lack of data,
resulting in inefficient network learning. This issue stems from limitations in terms of time …
resulting in inefficient network learning. This issue stems from limitations in terms of time …