Welcome to the 14th European Congress of Mental Health in Intellectual Disability

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Adults with Intellectual Disability and Autism Spectrum Disorder: What Is the Evidence around the Use of Polypharmacy

A review on the mental health needs of adults with intellectual disability (ID) and autism spectrum disorder (ASD) published just over 10 years ago found a limited evidence base for pharmacological intervention in this group. The aim of this paper was therefore to review the evidence in the subsequent 10 years, with a focus on polypharmacy use in adults who have both ID and ASD. A critical literature review of key papers published from 2009 to 2021 was undertaken on adults with both ID and ASD and related to psychopharmacology, polypharmacy, antipsychotics, antidepressants, mood stabilisers and anxiolytics interventions in improving symptoms. After excluding articles for lack of relevance, a review with a focus on the use of polypharmacy was carried out on the retrieved results. Four papers were identified as relevant to adults with both ID and ASD. Three main themes were identified in the review, including the application of pharmacogenetics, the influence of national policy on prescribing practices and safety concerns in a population with multiple health comorbidities. The past decade has produced a small increase in the evidence base on psychopharmacology use in adults with ID and ASD. However, more evidence on the effectiveness and impact of long-term polypharmacy use is required

Alien Registration- Chaplin, May E. (Millinocket, Penobscot County)

https://digitalmaine.com/alien_docs/7592/thumbnail.jp

Kinetic energy of protons in ice Ih and water: a path integral study

The kinetic energy of H and O nuclei has been studied by path integral molecular dynamics simulations of ice Ih and water at ambient pressure. The simulations were performed by using the q-TIP4P/F model, a point charge empirical potential that includes molecular flexibility and anharmonicity in the OH stretch of the water molecule. Ice Ih was studied in a temperature range between 210-290 K, and water between 230-320 K. Simulations of an isolated water molecule were performed in the range 210-320 K to estimate the contribution of the intramolecular vibrational modes to the kinetic energy. Our results for the proton kinetic energy, K_H, in water and ice Ih show both agreement and discrepancies with different published data based on deep inelastic neutron scattering experiments. Agreement is found for water at the experimental melting point and in the range 290-300 K. Discrepancies arise because data derived from the scattering experiments predict in water two maxima of K_H around 270 K and 277 K, and that K_H is lower in ice than in water at 269 K. As a check of the validity of the employed water potential, we show that our simulations are consistent with other experimental thermodynamic properties related to K_H, as the temperature dependence of the liquid density, the heat capacity of water and ice at constant pressure, and the isotopic shift in the melting temperature of ice upon isotopic substitution of either H or O atoms. Moreover, the temperature dependence of K_H predicted by the q-TIP4P/F model for ice Ih is found to be in good agreement to results of path integral simulations using ab initio density functional theory.Comment: 11 pages, 6 figures, 2 table

Optimal placement of a limited number of observations for period searches

Robotic telescopes present the opportunity for the sparse temporal placement of observations when period searching. We address the best way to place a limited number of observations to cover the dynamic range of frequencies required by an observer. We show that an observation distribution geometrically spaced in time can minimise aliasing effects arising from sparse sampling, substantially improving signal detection quality. The base of the geometric series is however a critical factor in the overall success of this strategy. Further, we show that for such an optimal distribution observations may be reordered, as long as the distribution of spacings is preserved, with almost no loss of quality. This implies that optimal observing strategies can retain significant flexibility in the face of scheduling constraints, by providing scope for on-the-fly adaptation. Finally, we present optimal geometric samplings for a wide range of common observing scenarios, with an emphasis on practical application by the observer at the telescope. Such a sampling represents the best practical empirical solution to the undersampling problem that we are aware of. The technique has applications to robotic telescope and satellite observing strategies, where target acquisition overheads mean that a greater total target exposure time (and hence signal-to-noise) can often in practice be achieved by limiting the number of observations.Comment: 8 pages with 16 figure