2,644 research outputs found
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
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