Machine-learning of atomic-scale properties based on physical principles

We briefly summarize the kernel regression approach, as used recently in materials modelling, to fitting functions, particularly potential energy surfaces, and highlight how the linear algebra framework can be used to both predict and train from linear functionals of the potential energy, such as the total energy and atomic forces. We then give a detailed account of the Smooth Overlap of Atomic Positions (SOAP) representation and kernel, showing how it arises from an abstract representation of smooth atomic densities, and how it is related to several popular density-based representations of atomic structure. We also discuss recent generalisations that allow fine control of correlations between different atomic species, prediction and fitting of tensorial properties, and also how to construct structural kernels---applicable to comparing entire molecules or periodic systems---that go beyond an additive combination of local environments

An accurate and transferable machine learning potential for carbon

We present an accurate machine learning (ML) model for atomistic simulations of carbon, constructed using the Gaussian approximation potential (GAP) methodology. The potential, named GAP-20, describes the properties of the bulk crystalline and amorphous phases, crystal surfaces, and defect structures with an accuracy approaching that of direct ab initio simulation, but at a significantly reduced cost. We combine structural databases for amorphous carbon and graphene, which we extend substantially by adding suitable configurations, for example, for defects in graphene and other nanostructures. The final potential is fitted to reference data computed using the optB88-vdW density functional theory (DFT) functional. Dispersion interactions, which are crucial to describe multilayer carbonaceous materials, are therefore implicitly included. We additionally account for long-range dispersion interactions using a semianalytical two-body term and show that an improved model can be obtained through an optimization of the many-body smooth overlap of atomic positions descriptor. We rigorously test the potential on lattice parameters, bond lengths, formation energies, and phonon dispersions of numerous carbon allotropes. We compare the formation energies of an extensive set of defect structures, surfaces, and surface reconstructions to DFT reference calculations. The present work demonstrates the ability to combine, in the same ML model, the previously attained flexibility required for amorphous carbon [V. L. Deringer and G. Csányi, Phys. Rev. B 95, 094203 (2017)] with the high numerical accuracy necessary for crystalline graphene [Rowe et al., Phys. Rev. B 97, 054303 (2018)], thereby providing an interatomic potential that will be applicable to a wide range of applications concerning diverse forms of bulk and nanostructured carbon

Logopenic and nonfluent variants of primary progressive aphasia are differentiated by acoustic measures of speech production

Differentiation of logopenic (lvPPA) and nonfluent/agrammatic (nfvPPA) variants of Primary Progressive Aphasia is important yet remains challenging since it hinges on expert based evaluation of speech and language production. In this study acoustic measures of speech in conjunction with voxel-based morphometry were used to determine the success of the measures as an adjunct to diagnosis and to explore the neural basis of apraxia of speech in nfvPPA. Forty-one patients (21 lvPPA, 20 nfvPPA) were recruited from a consecutive sample with suspected frontotemporal dementia. Patients were diagnosed using the current gold-standard of expert perceptual judgment, based on presence/absence of particular speech features during speaking tasks. Seventeen healthy age-matched adults served as controls. MRI scans were available for 11 control and 37 PPA cases; 23 of the PPA cases underwent amyloid ligand PET imaging. Measures, corresponding to perceptual features of apraxia of speech, were periods of silence during reading and relative vowel duration and intensity in polysyllable word repetition. Discriminant function analyses revealed that a measure of relative vowel duration differentiated nfvPPA cases from both control and lvPPA cases (r2 = 0.47) with 88% agreement with expert judgment of presence of apraxia of speech in nfvPPA cases. VBM analysis showed that relative vowel duration covaried with grey matter intensity in areas critical for speech motor planning and programming: precentral gyrus, supplementary motor area and inferior frontal gyrus bilaterally, only affected in the nfvPPA group. This bilateral involvement of frontal speech networks in nfvPPA potentially affects access to compensatory mechanisms involving right hemisphere homologues. Measures of silences during reading also discriminated the PPA and control groups, but did not increase predictive accuracy. Findings suggest that a measure of relative vowel duration from of a polysyllable word repetition task may be sufficient for detecting most cases of apraxia of speech and distinguishing between nfvPPA and lvPPA

Molecular and cellular mechanisms underlying the evolution of form and function in the amniote jaw.

The amniote jaw complex is a remarkable amalgamation of derivatives from distinct embryonic cell lineages. During development, the cells in these lineages experience concerted movements, migrations, and signaling interactions that take them from their initial origins to their final destinations and imbue their derivatives with aspects of form including their axial orientation, anatomical identity, size, and shape. Perturbations along the way can produce defects and disease, but also generate the variation necessary for jaw evolution and adaptation. We focus on molecular and cellular mechanisms that regulate form in the amniote jaw complex, and that enable structural and functional integration. Special emphasis is placed on the role of cranial neural crest mesenchyme (NCM) during the species-specific patterning of bone, cartilage, tendon, muscle, and other jaw tissues. We also address the effects of biomechanical forces during jaw development and discuss ways in which certain molecular and cellular responses add adaptive and evolutionary plasticity to jaw morphology. Overall, we highlight how variation in molecular and cellular programs can promote the phenomenal diversity and functional morphology achieved during amniote jaw evolution or lead to the range of jaw defects and disease that affect the human condition

Errores de medicación en pediatría

Concerns regarding patient safety affect healthcare, and medication errors are the most frequent category of medical errors and linked with severe consequences. This study discusses epidemiologic characteristics of medication errors in pediatric patients and points out prevention strategies. Approximately 8% of the studies on the subject of medication errors identified in different national and international databases are distinctively related to the pediatric population. Children are vulnerable to medication errors due to intrinsic factors, such as proper anatomic and physiological characteristics; and due to extrinsic factors, with emphasis on the lack of public health politics and changes in the pharmaceutical industry to attend children's needs. The available evidences indicate, as imperative, the implementation of strategies to prevent medication errors, contributing to promote patient safety.La seguridad del paciente es un problema de salud pública y los errores con medicamentos son los más frecuentes y más graves. Este artículo describe características epidemiológicas de errores de medicación en áreas de atención pediátrica y algunas estrategias de prevención. Aproximadamente 8% de las investigaciones sobre errores de medicación identificadas en las bases de datos nacionales e internacionales se refieren específicamente a niños. Los niños tienen mayor vulnerabilidad a la ocurrencia de errores debidos a factores intrínsecos, con destaque para características anatómicas y fisiológicas, e extrínsecos, en particular con respecto a falta de políticas sanitarias y de la industria farmacéutica orientada a la atención de tales características. Evidencias muestran la necesidad de aplicar estrategias para prevenir errores de medicación, promoviendo la seguridad del paciente.A segurança do paciente constitui problema de saúde pública, e erros com medicamentos são os mais freqüentes e graves. O artigo apresenta características epidemiológicas dos erros de medicação em diferentes áreas de atendimento pediátrico, e aponta estratégias de prevenção. Aproximadamente 8% das pesquisas sobre erros de medicação identificadas em bases de dados nacionais e internacionais referem-se à população pediátrica. Crianças apresentam maior vulnerabilidade à ocorrência de erros devido a fatores intrínsecos, destacando-se características anatômicas e fisiológicas; e extrínsecos, relativos à falta de políticas de saúde e da indústria farmacêutica voltadas ao atendimento de tais especificidades. As evidências apontam para a necessidade de implementação de estratégias de prevenção de erros de medicação, contribuindo para promover a segurança do paciente.Universidade Federal de São Paulo (UNIFESP) Departamento de EnfermagemUNIFESP, Depto. de EnfermagemSciEL

The heritability of amyloid burden in older adults: the Older Australian Twins Study

Objective To determine the proportional genetic contribution to the variability of cerebral β-amyloid load in older adults using the classic twin design. Methods Participants (n=206) comprising 61 monozygotic (MZ) twin pairs (68 (55.74%) females; mean age (SD): 71.98 (6.43) years), and 42 dizygotic (DZ) twin pairs (56 (66.67%) females; mean age: 71.14 (5.15) years) were drawn from the Older Australian Twins Study. Participants underwent detailed clinical and neuropsychological evaluations, as well as MRI, diffusion tensor imaging (DTI) and amyloid PET scans. Fifty-eight participants (17 MZ pairs, 12 DZ pairs) had PET scans with 11Carbon-Pittsburgh Compound B, and 148 participants (44 MZ pairs, 30 DZ pairs) with 18Fluorine-NAV4694. Cortical amyloid burden was quantified using the centiloid scale globally, as well as the standardised uptake value ratio (SUVR) globally and in specific brain regions. Small vessel disease (SVD) was quantified using total white matter hyperintensity volume on MRI, and peak width of skeletonised mean diffusivity on DTI. Heritability (h2) and genetic correlations were measured with structural equation modelling under the best fit model, controlling for age, sex, tracer and scanner. results The heritability of global amyloid burden was moderate (0.41 using SUVR; 0.52 using the centiloid scale) and ranged from 0.20 to 0.54 across different brain regions. There were no significant genetic or environmental correlations between global amyloid burden and markers of SVD. Conclusion Amyloid deposition, the hallmark early feature of Alzheimer’s disease, is under moderate genetic influence, suggesting a major environmental contribution that may be amenable to intervention

Managing women in pregnancy after bariatric surgery: The midwife as the co-ordinator of care

Bariatric surgery is a recommended, cost-effective, evidenced-based intervention to reduce weight and associated comorbidities in severely obese people. People with a BMI of 40 kg/m2 or more, or a BMI between 35–40 kg/m2 with other medical conditions such as diabetes, hypertension, high cholesterol and obstructive sleep apnoea meet the criteria to be considered for bariatric surgery. Over the past 10 years, bariatric surgery in the UK has been more widely accessible and consequently midwives may be required to care for pregnant women who have undergone bariatric surgery such as a gastric band, sleeve gastrectomy and gastric bypass. Midwives are required to work co-operatively, recognising and working within the limits of their competence and providing leadership. The aim of this article is to consider the midwife's role as co-ordinator of care for pregnant women who have undergone bariatric surgery. It outlines the most common bariatric procedures and specific considerations, including nutritional supplementation required when providing care to women in the antenatal and postnatal period

Beyond Zeno: Approaching Infinite Temperature upon Repeated Measurements

The influence of repeated projective measurements on the dynamics of the state of a quantum system is studied in dependence of the time lag $\tau$ between successive measurements. In the limit of infinitely many measurements of the occupancy of a single state the total system approaches a uniform state. The asymptotic approach to this state is exponential in the case of finite Hilbert space dimension. The rate characterizing this approach undergoes a sharp transition from a monotonically increasing to an erratically varying function of the time between subsequent measurements

Aβ Imaging: feasible, pertinent, and vital to progress in Alzheimer’s disease

status: publishe