1,185 research outputs found
Excited multiplets of Eu in GaN
A method to calculate the multiplet states of lanthanide impurities in solids is presented. This approach is based on a semi-empirical density functional method which includes corrections to account for the correlation and spin-orbit coupling of the 4f electrons. Specific multiplet states of the rare earth are produced by constraining the system. This approach is then used to investigate some of the properties of substitutional europium impurities in gallium nitride, reproducing the relative energy of two multiplets, and discussing a potential excitation mechanism for these centers
Choice Valuation of Traffic Restrictions: Perspectives on Noise, Pollution and Congestion Preferences
This paper focuses on the choice valuation of traffic restrictions while entering Lisbon city based on individual preferences for noise, pollution and congestion. The analysis employs a questionnaire distributed in 2007 to ascertain the significant characteristics of traveling to Lisbon, with the aim of curbing the number of cars that enter the city daily. A random parameter logit model is used to analyze the characteristics (e.g. individual characteristics, motivations, type of transport used) that are associated with the probability of individuals supporting a fee on private cars entering the city. The model also takes into account the uncontrolled heterogeneity of the data. Some policy implications are also presented.Transportation; Lisbon; Mixed Logit Model; Public Policy.
Social entrepreneurship based on personal unmet needs:lead user characteristics' influences on nascent social entrepreneurs
The influence of branded search on the relationship between social media advertising and search engine advertising on sales
Samarium Magnetism Studied on SmPd2Al3 Single Crystal
In this paper, specific features of Sm magnetism in an intermetallic compound
have been studied. For this purpose, a high-quality single crystal of SmPd2Al3
was grown and subjected to detailed measurements of specific heat,
magnetization, ac susceptibility, and electrical resistivity with respect to
temperature and a magnetic field applied along the principal crystallographic
directions. SmPd2Al3 magnetism was found to be strongly anisotropic with the
easy-magnetization direction along the c axis where the main magnetic features
are concentrated. The a-axis response remains weak, paramagneticlike, even in
the magnetically ordered state. Ferromagnetism with TC=12.4 K has been
indicated by all the measured physical properties. At lower temperatures, three
successive order-order phase transitions have been observed on the temperature
dependence of the specific heat as three anomalies: at 3.4, 3.9, and 4.4 K,
respectively. The low-temperature magnetization data can be understood within a
scenario that considers the antiferromagnetic ground state as being gradually
destroyed through a series of four metamagnetic transitions at 0.03, 0.35, 0.5,
and 0.75 T, as detected in the 1.8 K magnetization data. The experimental data
are discussed together with the results of electronic-structure and
crystal-field calculations from first principles, which were performed as an
important part of the study for comprehension and explanation of the observed
behavior of the SmPd2Al3 compound
Simple Embedding-Based Word Sense Disambiguation
We present a simple knowledge-based WSD method that uses word and sense embeddings to compute the similarity between the gloss of a sense and the context of the word. Our method is inspired by the Lesk algorithm as it exploits both the context of the words and the definitions of the senses. It only requires large unlabeled corpora and a sense inventory such as WordNet, and therefore does not rely on annotated data. We explore whether additional extensions to Lesk are compatible with our method. The results of our experiments show that by lexically extending the amount of words in the gloss and context, although it works well for other implementations of Lesk, harms our method. Using a lexical selection method on the context words, on the other hand, improves it. The combination of our method with lexical selection enables our method to outperform state-of the art knowledge-based systems
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