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 …

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 …

Adverse health effects of thirdhand smoke: from cell to animal models

B Hang, P Wang, Y Zhao, A Sarker, A Chenna… - International journal of …, 2017 - mdpi.com
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 …

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 …

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 …

Optical-flow based non-invasive analysis of cardiomyocyte contractility

A Czirok, DG Isai, E Kosa, S Rajasingh, W Kinsey… - Scientific reports, 2017 - nature.com
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 …

[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 …

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 …

Iterative pseudo balancing for stem cell microscopy image classification

A Witmer, B Bhanu - Scientific Reports, 2024 - nature.com
Many critical issues arise when training deep neural networks using limited biological
datasets. These include overfitting, exploding/vanishing gradients and other inefficiencies …

Generative adversarial networks for morphological–temporal classification of stem cell images

A Witmer, B Bhanu - Sensors, 2021 - mdpi.com
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 …