1,721,667 research outputs found
On the molecular mechanisms driving pain perception and emergent collective behaviors
A stochastic model to investigate the microscopic processes which trigger the sensation of pain is considered. The model, presented in Di Patti and Fanelli [Di Patti F, Fanelli D. Can a microscopic stochastic model explain the emergence of pain cycles in patients? J Stat Mech 2009. doi:10.1088/1742-5468/2009/01/P01004], accounts for the action of analgesic drug and introduces an effect of competition with the inactive species populating the bloodstream. Regular oscillations in the amount of bound receptors are detected, following a resonant amplification of the stochastic component intrinsic to the system. The condition for such oscillations to occur are here studied, resorting to combined numerical and analytical techniques. Extended and connected patches of the admissible parameters space are detected which do correspond to the oscillatory behaviors. These findings are discussed with reference to the existing literature on patients' response to the analgesic treatment. © 2009 Elsevier B.V. All rights reserved
Usiamo il piano Junker per sistemare le aree dismesse
L'articolo tratta il tema delle aree dismesse in ambito urbano; il giornalista Fabrizio Patti riporta il testo dell'intervista a Paolo Mellano
Ex-caserme, le mele avvelenate che non sappiamo come riusare
L'articolo riporta un'intervista a Paolo Mellano sul tema del recupero delle caserme dismess
Recensione a Hein Kötz, Europäisches Vertragsrecht, 2a ed., Mohr Siebeck, Tübingen, 2015, pp. XIV-536
No abstract availabl
A stochastic reaction scheme for drug/metabolite interaction
We present a simplified stochastic model to investigate the mechanisms of action of tramadol, a centrally acting analgesic, used for treating pain. The model accounts for the process of metabolization through the cytochrome CYP2D6 and the interactions between molecules and target receptors. The proposed formulation is stochastic in nature and allows to speculate on the role of finite-size fluctuations. Analytically, the master equation, governing the process under scrutiny, is derived and studied in the mean-field limit. The analysis of the associated asymptotic behavior proves interesting for its potential medical implications. The analysis of fluctuations is carried on via the van Kampen expansion. Numerical simulations are also performed to confirm the adequacy of our theoretical prediction. © 2009 Elsevier Ltd. All rights reserved
Can a microscopic stochastic model explain the emergence of pain cycles in patients?
A stochastic model is introduced here to investigate the molecular mechanisms which trigger the perception of pain. The action of analgesic drug compounds is discussed in a dynamical context, where the competition with inactive species is explicitly accounted for. Finite size effects inevitably perturb the mean-field dynamics: oscillations in the amount of bound receptors are spontaneously manifested, driven by the noise which is intrinsic to the system under scrutiny. These effects are investigated both numerically, via stochastic simulations, and analytically, through a large size expansion. The claim that our findings could provide a consistent interpretative framework for explaining the emergence of cyclic behaviors in response to analgesic treatments is substantiated. © 2009 IOP Publishing Ltd
Fostering adherence to injectable disease-modifying therapies in multiple sclerosis.
Multiple sclerosis requires long-term management, often with disease-modifying therapies. Poor medication adherence, especially to injectables, can increase relapse and hospitalisation rates and consume healthcare resources. We discuss adherence definitions and terminology and its prevalence in multiple sclerosis (MS). Typical causes of poor adherence in patients with MS include: insufficient efficacy or tolerability, concurrent disorders, and consequences of MS (e.g., forgetfulness, depression, fatigue and poor motor skills). Ways to improve adherence rates are reviewed, focusing on interdisciplinary healthcare teams, good communication between healthcare workers and patients (and their families), ongoing support and digital tools to promote adherence. We consider open communication and continuing education to be key, and that MS nurses have a pivotal role in ensuring patients' adherence to MS medicines
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