502 research outputs found
The Case of HCO Isomers, Revisited: Solving the Mystery of the Missing Propadienone
To date, two isomers of HCO have been detected, namely, propynal
(HCCCHO) and cylclopropenone (c-HCO). A third, propadienone
(CHCCO), has thus far eluded observers despite the fact that it is the
lowest in energy of the three. This previously noted result is in contradiction
of the minimum energy principle, which posits that the abundances of isomers in
interstellar environments can be predicted based on their relative stabilities
- and suggests, rather, the importance of kinetic over thermodynamic effects in
explaining the role of such species.
Here, we report results of \textit{ab initio} quantum chemical calculations
of the reaction between H and (a) HCO, (b) HCO (both propynal and
propadienone), and (c) CHCHCO. We have found that, among all possible
reactions between atomic hydrogen and either propadienone or propynal, only the
destruction of propadienone is barrierless and exothermic. That this
destruction pathway is indeed behind the non-detection of CHCCO is further
suggested by our finding that the product of this process, the radical
CHCHCO, can subsequently react barrierlessly with H to form propenal
(CHCHCHO) which has, in fact, been detected in regions where the other two
HCO isomers are observed. Thus, these results not only shed light on a
previously unresolved astrochemical mystery, but also further highlight the
importance of kinetics in understanding the abundances of interstellar
molecules.Comment: ApJ, accepted: 14 pages, 2 figure
Abundance Anomalies in the X-ray Spectra of the Planetary Nebulae NGC 7027 and BD +30 363
We revisit Chandra observations of the planetary nebulae NGC 7027 and BD +30 3639 in order to address the question of abundance anomalies in the X-ray emitting gas. Enhanced abundances relative to solar of magnesium (Mg) for NGC 7027 and neon (Ne) for BD +30 3639 are required to fit their X-ray spectra, whereas observations at optical and infrared wavelengths show depleted Mg and Ne in these systems. We attribute the enhancement of Mg in NGC 7027 in the X-ray, relative to the optical, to the depletion of Mg onto dust grains within the optical nebula. For BD +30 3639, we speculate that the highly enhanced Ne comes from a WD companion, which accreted a fraction of the wind blown by the asymptotic giant branch progenitor, and went through a nova-like outburst which enriched the X-ray emitting gas with Ne
Odor naming and interpretation performance in 881 schizophrenia subjects: association with clinical parameters
BACKGROUND: Olfactory function tests are sensitive tools for assessing sensory-cognitive processing in schizophrenia. However, associations of central olfactory measures with clinical outcome parameters have not been simultaneously studied in large samples of schizophrenia patients. METHODS: In the framework of the comprehensive phenotyping of the GRAS (Göttingen Research Association for Schizophrenia) cohort, we modified and extended existing odor naming (active memory retrieval) and interpretation (attribute assignment) tasks to evaluate them in 881 schizophrenia patients and 102 healthy controls matched for age, gender and smoking behavior. Associations with emotional processing, neuropsychological test performance and disease outcome were studied. RESULTS: Schizophrenia patients underperformed controls in both olfactory tasks. Odor naming deficits were primarily associated with compromised cognition, interpretation deficits with positive symptom severity and general alertness. Contrasting schizophrenia extreme performers of odor interpretation (best versus worst percentile; N=88 each) and healthy individuals (N=102) underscores the obvious relationship between impaired odor interpretation and psychopathology, cognitive dysfunctioning, and emotional processing (all p<0.004). CONCLUSIONS: The strong association of performance in higher olfactory measures, odor naming and interpretation, with lead symptoms of schizophrenia and determinants of disease severity highlights their clinical and scientific significance. Based on the results obtained here in an exploratory fashion in a large patient sample, the development of an easy-to-use clinical test with improved psychometric properties may be encouraged
Cross‐scale seismic anisotropy analysis in metamorphic rocks from the COSC‐1 borehole in the Scandinavian Caledonides
Metamorphic and deformed rocks in thrust zones show particularly high seismic anisotropy causing challenges for seismic imaging and interpretation. A good example is the Seve Nappe Complex in central Sweden, an old exhumed orogenic thrust zone that is characterized by a strong but incoherent seismic reflectivity and considerable seismic anisotropy. However, only little is known about their origin in relation to composition and structural influences on measurements at different seismic scales. Here, we present a new integrative study of cross‐scale seismic anisotropy analyses combining mineralogical composition, microstructural analyses and seismic laboratory experiments from the COSC‐1 borehole, which sampled a 2.5 km‐deep section of metamorphic rocks deformed in an orogenic root now preserved in the Lower Seve Nappe. While there is strong crystallographic preferred orientation in most samples in general, variations in anisotropy depend mostly on bulk mineral composition and dominant core lithology as shown by a strong correlation between these. This relationship enables to identify three distinct seismic anisotropy facies providing a continuous anisotropy profile along the borehole. Moreover, comparison of laboratory seismic measurements and electron‐backscatter diffraction data reveals a strong scale‐dependence, which is more pronounced in the highly deformed, heterogeneous samples. This highlights the need for comprehensive cross‐validation of microscale anisotropy analyses with additional lithological data when integrating seismic anisotropy over seismic scales
Variability-aware Datalog
Variability-aware computing is the efficient application of programs to
different sets of inputs that exhibit some variability. One example is program
analyses applied to Software Product Lines (SPLs). In this paper we present the
design and development of a variability-aware version of the Souffl\'{e}
Datalog engine. The engine can take facts annotated with Presence Conditions
(PCs) as input, and compute the PCs of its inferred facts, eliminating facts
that do not exist in any valid configuration. We evaluate our variability-aware
Souffl\'{e} implementation on several fact sets annotated with PCs to measure
the associated overhead in terms of processing time and database size.Comment: PADL'20 pape
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Field-induced interactions in magneto-active elastomers - a comparison of experiments and simulations
In this contribution, field-induced interactions of magnetizable particles embedded into a soft elastomer matrix are analyzed with regard to the resulting mechanical deformations. By comparing experiments for two-, three- and four-particle systems with the results of finite element simulations, a fully coupled continuum model for magneto-active elastomers is validated with the help of real data for the first time. The model under consideration permits the investigation of magneto-active elastomers with arbitrary particle distances, shapes and volume fractions as well as magnetic and mechanical properties of the individual constituents. It thus represents a basis for future studies on more complex, realistic systems. Our results show a very good agreement between experiments and numerical simulations—the deformation behavior of all systems is captured by the model qualitatively as well as quantitatively. Within a sensitivity analysis, the influence of the initial particle positions on the systems' response is examined. Furthermore, a comparison of the full three-dimensional model with the often used, simplified two-dimensional approach shows the typical overestimation of resulting interactions in magneto-active elastomers
3D sub-nanometer analysis of glucose in an aqueous solution by cryo-atom probe tomography
Atom Probe Tomography (APT) is currently a well-established technique to analyse the composition of solid materials including metals, semiconductors and ceramics with up to near-atomic resolution. Using an aqueous glucose solution, we now extended the technique to frozen solutions. While the mass signals of the common glucose fragments C(x)H(y) and C(x)O(y)H(z) overlap with (H(2)O)(n)H from water, we achieved stoichiometrically correct values via signal deconvolution. Density functional theory (DFT) calculations were performed to investigate the stability of the detected pyranose fragments. This paper demonstrates APT’s capabilities to achieve sub-nanometre resolution in tracing whole glucose molecules in a frozen solution by using cryogenic workflows. We use a solution of defined concentration to investigate the chemical resolution capabilities as a step toward the measurement of biological molecules. Due to the evaporation of nearly intact glucose molecules, their position within the measured 3D volume of the solution can be determined with sub-nanometre resolution. Our analyses take analytical techniques to a new level, since chemical characterization methods for cryogenically-frozen solutions or biological materials are limited
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