The SLR approach applied herein is also technology-empowered through the use of a scientific database powered by artificial intelligence and machine learning (Scopus) and fit-for purpose software (Bibliometrix-R, Gephi), which is consistent with Kumar et al. (2022). Fig. 1. depicts the ...
Transcripts and notes were sent to the participants to allow them to review and modify as they saw fit. Theoretical thematic analysis was performed on the tran- scripts, notes, and supplemental material using computer- assisted qualitative data analysis tools. In theoretical thematic analysis, the ...
Some people volunteer foruser testingas a side hustle. Research participation is an easy way to make a little extra money. People who enjoy participating in research they’re a good fit for while making some spare change often make great participants. ...
it would tell us whether the deep network indeed does “see” the effect the way we do. Second, this question can be asked of any deep network without explicit training to produce this effect. For instance, testing this question on network trained on object and face classification would...
5). To minimize the error originating from slight differences in overall activity, the obtained k3 values were divided by the corresponding value for k1 obtained from the fit. A high value for k3 corresponds to a low selectivity while a low value corresponds to a very selective catalyst. ...
There have been studies that have explored the disease experience of patients with glaucoma [26, 27], but the exploration of the fit between the patient’s needs and the support provided was particularly unique in this study. Our findings show that all patients have expressed a desire for ...
Our example of patient activation promises opportunity to codesign a durable fit-for-purpose intervention for frailty that addresses psycho-emotional-social needs alongside symptom burden and physical frailty. Frailty assessment was found to be acceptable where it afforded opportunity to engage in self-...
The last difficulty we will detail here is that some PWAs reported they constantly had to adapt to fit in with society (this theme also emerged in two parent interviews). This pressure to appear “normal” could lead to a burden where individuals were continuously adapting without speaking up ...
For mixed-variable problems, existing Bayesian Optimization (BO) approaches represent qualitative factors by dummy variables first and then fit a standard Gaussian process (GP) model with numerical variables as the surrogate model. This approach is restrictive theoretically and fails to capture complex ...
[54] and the structural processes involved in reaching a confirmed HAT diagnosis. By focussing on how HAT RDTs fit into the wider health system, we have also shown some of the ways that introducing a new RDT can destabilise and disrupt an established diagnostic ecosystem by creating additional...