Bioaerosol sampling: sampling mechanisms, bioefficiency and field studies [PDF]
Journal of Hospital Infection, 2016 Investigations into the suspected airborne transmission of pathogens in healthcare environments have posed a challenge to researchers for more than a century. With each pathogen demonstrating a unique response to environmental conditions and the mechanical stresses it experiences, the choice of sampling device is not obvious.
Haig, C.W. +3 more
openaire +3 more sources
A systematic review of substandard, falsified, unlicensed and unregistered medicine sampling studies: a focus on context, prevalence, and quality. [PDF]
BMJ Glob Health, 2020 Substandard and falsified (SF) medicines are a global issue contributing to antimicrobial resistance and causing economic and humanitarian harm.
McManus D, Naughton BD.
europepmc +2 more sources
formr: A study framework allowing for automated feedback generation and complex longitudinal experience-sampling studies using R. [PDF]
Behav Res Methods, 2020 Open-source software improves the reproducibility of scientific research. Because existing open-source tools often do not offer dedicated support for longitudinal data collection on phones and computers, we built formr, a study framework that enables ...
Arslan RC, Walther MP, Tata CS.
europepmc +2 more sources
Protected sampling is preferable in bronchoscopic studies of the airway microbiome
ERJ Open Research, 2017 The aim was to evaluate susceptibility of oropharyngeal contamination with various bronchoscopic sampling techniques. 67 patients with obstructive lung disease and 58 control subjects underwent bronchoscopy with small-volume lavage (SVL) through the ...
Rune Grønseth +18 more
doaj +2 more sources
Never miss a beep: Using mobile sensing to investigate (non-)compliance in experience sampling studies. [PDF]
Behav Res Methods, 2023 Given the increasing number of studies in various disciplines using experience sampling methods, it is important to examine compliance biases because related patterns of missing data could affect the validity of research findings. In the present study, a
Reiter T, Schoedel R.
europepmc +2 more sources
Diffusion Posterior Sampling for General Noisy Inverse Problems [PDF]
International Conference on Learning Representations, 2022 Diffusion models have been recently studied as powerful generative inverse problem solvers, owing to their high quality reconstructions and the ease of combining existing iterative solvers.
Hyungjin Chung +4 more
semanticscholar +1 more source
Sampling Projects in GitHub for MSR Studies [PDF]
IEEE Working Conference on Mining Software Repositories, 2021 Almost every Mining Software Repositories (MSR) study requires, as first step, the selection of the subject software repositories. These repositories are usually collected from hosting services like GitHub using specific selection criteria dictated by ...
Ozren Dabić, Emad Aghajani, G. Bavota
semanticscholar +1 more source
Social Psychology and Personality Science, 2021 Solitude––the absence of social interaction––can bring both positive and negative experiences. Drawing on self-determination theory, we conducted three experience sampling studies to investigate quality of experience and dispositions associated with ...
Dwight C. K. Tse +2 more
semanticscholar +1 more source
A comprehensive study of non-adaptive and residual-based adaptive sampling for physics-informed neural networks [PDF]
Computer Methods in Applied Mechanics and Engineering, 2022 Physics-informed neural networks (PINNs) have shown to be an effective tool for solving forward and inverse problems of partial differential equations (PDEs).
Chen-Chun Wu +4 more
semanticscholar +1 more source