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Contains fulltext : 251399.pdf (Publisher’s version ) (Open Access), Exercise interventions in mental disorders have evidenced a mood-enhancing effect. However, the association between physical activity and affect in everyday life has not been investigated in adult individuals with ADHD, despite being important features of this disorder. As physical activity and affect are dynamic processes in nature, assessing those in everyday life with e-diaries and wearables, has become the gold standard. Thus, we used an mHealth approach to prospectively assess physical activity and affect processes in individuals with ADHD and controls aged 14-45 years. Participants wore accelerometers across a four-day period and reported their affect via e-diaries twelve times daily. We used multilevel models to identify the within-subject effects of physical activity on positive and negative affect. We split our sample into three groups: 1. individuals with ADHD who were predominantly inattentive (n = 48), 2. individuals with ADHD having a combined presentation (i.e., being inattentive and hyperactive; n = 95), and 3. controls (n = 42). Our analyses revealed a significant cross-level interaction (F(2, 135.072)=5.733, p = 0.004) of physical activity and group on positive affect. In details, all groups showed a positive association between physical activity and positive affect. Individuals with a combined presentation significantly showed the steepest slope of physical activity on positive affect (slope_inattentive=0.005, p<0.001; slope_combined=0.009, p<0.001; slope_controls=0.004, p = 0.008). Our analyses on negative affect revealed a negative association only in the individuals with a combined presentation (slope=-0.003; p = 0.001). Whether this specifically pronounced association in individuals being more hyperactive might be a mechanism reinforcing hyperactivity needs to be empirically clarified in future studies.

type:text, The effect of pressure on the electronic and magnetic properties of the antiferromagnetic (TN~43 K) narrow gap semiconductor UNiSn has been investigated by 119Sn Mössbauer spectroscopy and nuclear forward scattering of synchrotron radiation, electrical resistance, and x-ray diffraction. We show that the decrease of the semiconducting gap which leads to a metallic state at p~9 GPa is associated with an enhancement of TN. At higher pressures, both TN and the transferred magnetic hyperfine field decrease, with a collapse of magnetism at ~18.5 GPa. The results are explained by a volume-dependent competition between indirect Ruderman-Kittel-Kasuya-Yosida interaction and the 5f-ligand hybridization.

The effect of pressure on the electronic and magnetic properties of the antiferromagnetic (TN~43 K) narrow gap semiconductor UNiSn has been investigated by 119Sn Mössbauer spectroscopy and nuclear forward scattering of synchrotron radiation, electrical resistance, and x-ray diffraction. We show that the decrease of the semiconducting gap which leads to a metallic state at p~9 GPa is associated with an enhancement of TN. At higher pressures, both TN and the transferred magnetic hyperfine field decrease, with a collapse of magnetism at ~18.5 GPa. The results are explained by a volume-dependent competition between indirect Ruderman-Kittel-Kasuya-Yosida interaction and the 5f-ligand hybridization.

The authors report a series of measurements on both polycrystalline and single-crystal samples of NpCo2 in an effort to understand the low-temperature magnetic properties. Magnetization and Mossbauer experiments strongly suggest a transition to an ordered state. A variety of neutron experiments, including small-angle scattering and searches along the principal crystallographic directions with a single crystal, have failed to reveal any direct evidence for long-range ordering of the Np moments. These measurements do not exclude short-range order or a spin-glass state, although the latter appears to be excluded by the magnetization experiments. An account is given of the polarized-neutron experiments in an applied field that give direct evidence of hybridization between Np 5f and Co 3d electrons.

A spatial analysis of exploration data from a Neogene volcanic field, hosting the San Jose and Palai adularia-sericite-type Pb-Zn(-Ag-Cu-Au) and Rodalquilar high-sulphidation Au-alunite(-Cu-Te-Sn) mining districts, was first carried out to identify the statistical and spatial properties of the data including the detection of drifts, local spatial relationships and spatial outliers. Spatial and non-spatial relationships between pairs of variables were analysed. Data integration was carried out using knowledge models, such as weighted index overlay and fuzzy logic, and data-driven models, including weights of evidence, logistic regression and artificial neural networks. Models were developed using the internal language of the ArcGIS software and external programs for statistical analysis and artificial neural networks. More than 30 predictive maps were obtained, all related to one of five exploration criteria: altered acid and intermediate rocks with high K content, intermediate porphyritic intrusions, favourable fracture structures, zoned hydrothermal alteration, and enrichment in Au and associated metals. The results showed that the favourability maps obtained from the different methods were generally similar, although there were some differences. The success rates were only slightly higher for models based on logistic regression and in particular artificial neural networks. The results from the data-driven models indicate that distance from fracture structures, 5/7 ratio Landsat TM bands, residual gravimetric anomalies and PC2 of the geochemistry indicating As, Sb and Sn were the most important predictors, consistent with the deposit model., A spatial analysis of exploration data from a Neogene volcanic field, hosting the San Jose and Palai adularia-sericite-type Pb-Zn(-Ag-Cu-Au) and Rodalquilar high-sulphidation Au-alunite(-Cu-Te-Sn) mining districts, was first carried out to identify the statistical and spatial properties of the data including the detection of drifts, local spatial relationships and spatial outliers. Spatial and non-spatial relationships between pairs of variables were analysed. Data integration was carried out using knowledge models, such as weighted index overlay and fuzzy logic, and data-driven models, including weights of evidence, logistic regression and artificial neural networks. Models were developed using the internal language of the ArcGIS software and external programs for statistical analysis and artificial neural networks. More than 30 predictive maps were obtained, all related to one of five exploration criteria: altered acid and intermediate rocks with high K content, intermediate porphyritic intrusions, favourable fracture structures, zoned hydrothermal alteration, and enrichment in Au and associated metals. The results showed that the favourability maps obtained from the different methods were generally similar, although there were some differences. The success rates were only slightly higher for models based on logistic regression and in particular artificial neural networks. The results from the data-driven models indicate that distance from fracture structures, 5/7 ratio Landsat TM bands, residual gravimetric anomalies and PC2 of the geochemistry indicating As, Sb and Sn were the most important predictors, consistent with the deposit model.

CASTAway is a mission concept to explore our Solar System’s main asteroid belt. Asteroids and comets provide a window into the formation and evolution of our Solar System and the composition of these objects can be inferred from space-based remote sensing using spectroscopic techniques. Variations in composition across the asteroid populations provide a tracer for the dynamical evolution of the Solar System. The mission combines a long-range (point source) telescopic survey of over 10,000 objects, targeted close encounters with 10–20 asteroids and serendipitous searches to constrain the distribution of smaller (e.g. 10 m) size objects into a single concept. With a carefully targeted trajectory that loops through the asteroid belt, CASTAway would provide a comprehensive survey of the main belt at multiple scales. The scientific payload comprises a 50 cm diameter telescope that includes an integrated low-resolution (R = 30–100) spectrometer and visible context imager, a thermal (e.g. 6–16 µm) imager for use during the flybys, and modified star tracker cameras to detect small (∼10 m) asteroids. The CASTAway spacecraft and payload have high levels of technology readiness and are designed to fit within the programmatic and cost caps for a European Space Agency medium class mission, while delivering a significant increase in knowledge of our Solar System.

The effect of pressure on the electronic and magnetic properties of the antiferromagnetic (TN~43 K) narrow gap semiconductor UNiSn has been investigated by 119Sn Mössbauer spectroscopy and nuclear forward scattering of synchrotron radiation, electrical resistance, and x-ray diffraction. We show that the decrease of the semiconducting gap which leads to a metallic state at p~9 GPa is associated with an enhancement of TN. At higher pressures, both TN and the transferred magnetic hyperfine field decrease, with a collapse of magnetism at ~18.5 GPa. The results are explained by a volume-dependent competition between indirect Ruderman-Kittel-Kasuya-Yosida interaction and the 5f-ligand hybridization.

CASTAway is a mission concept to explore our Solar System’s main asteroid belt. Asteroids and comets provide a window into the formation and evolution of our Solar System and the composition of these objects can be inferred from space-based remote sensing using spectroscopic techniques. Variations in composition across the asteroid populations provide a tracer for the dynamical evolution of the Solar System. The mission combines a long-range (point source) telescopic survey of over 10,000 objects, targeted close encounters with 10–20 asteroids and serendipitous searches to constrain the distribution of smaller (e.g. 10 m) size objects into a single concept. With a carefully targeted trajectory that loops through the asteroid belt, CASTAway would provide a comprehensive survey of the main belt at multiple scales. The scientific payload comprises a 50 cm diameter telescope that includes an integrated low-resolution (R = 30–100) spectrometer and visible context imager, a thermal (e.g. 6–16 µm) imager for use during the flybys, and modified star tracker cameras to detect small (∼10 m) asteroids. The CASTAway spacecraft and payload have high levels of technology readiness and are designed to fit within the programmatic and cost caps for a European Space Agency medium class mission, while delivering a significant increase in knowledge of our Solar System.