We aimed to systematically review and meta-synthesise qualitative studies exploring clinicians' experiences and perceptions of benzodiazepine prescribing to build an explanatory model of processes underlying current prescribing practices.
In building our model of processes underlying current prescribing practices, we sought to identify ways to improve adherence to current clinical guidance which recommends use of psychological treatments for insomnia first-line and short-term use of benzodiazepines only.
Many current algorithms for detection array analysis follow purely empirical approaches, without trying to model the physical processes underlying hybridization, washing and scanning.
We aimed to explore clinicians' experiences and perceptions of primary care benzodiazepine prescribing, and to build an explanatory model of the processes underlying clinicians' benzodiazepine prescribing using a meta-synthesis of qualitative studies.
However, most of this vast literature focused on modeling static network or time-invariant networks, and much less has been done towards modeling the dynamic processes underlying networks that are topologically rewiring and semantically evolving over time.
To account for the stochasticity and the rate limiting steps of the underlying steps in the process of gene expression, we use the delayed stochastic modeling strategy [ 16] to drive the dynamics of the models, as it allows the use of non-Markovian dynamics to model the non-instantaneous processes underlying transcription and translation [ 17].
The presence of numerous MCs in intestinal epithelium shows S. glanis to be an interesting model fish to study processes underlying intestinal inflammation elicited by an enteric worm.
Intravenous nicotine (0.03 mg/kg) has rewarding effects in an unbiased design suggesting that the place conditioning protocol used in the present study might be an especially useful model for studying the processes underlying the conditioned rewarding effects of nicotine.
Although the validation was based on the laboratory data, the results indicated that the model describes well the processes underlying the clogging and has the potential to become a tool for assessing the performance of prototype CWs in relation to clogging at both the design and operation stages.
Songbirds are the prime model for studying the processes underlying vocal learning in which a learned neural representation of the signals guides the vocal development [12], [13].
