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The data set consists of the raw and analysis data. Positron annihilation lifetime spectroscopy depth profiles were measured at the positron ELBE during the PI beamtime on November 2023 (POS23203233). MBE deposited Ge layers at temperatures of 100°C - 350°C have been evaluated concerning defect microstructure. The most dominant defect, namely Ge vacancy, has been evidenced independently on the temperature conditions. The results support the main claim of the manuscript, feasibility of the low temperature growth approach to Ge.

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Randomly oriented ZnO nanowires were grown directly onto alumina substrates having platinum interdigitated screen-printed electrodes via the chemical vapor deposition method using Au as catalyst. Three different Au film thicknesses (i.e., 3, 6 or 12 nm) were used in the growth of nanowires, and their gas sensing properties were studied for ethanol and NO2 as reducing and oxidizing species, respectively. ZnO nanowires grown employing the 6 nm thick layers were the less defective and showed the most stable, repeatable gas sensing properties. Despite ZnO nanowires grown employing the thickest Au layers reached the highest responses under dry conditions, ZnO nanowires grown using the thinnest Au film were more resilient at detecting NO2 in the presence of ambient moisture. The gas sensing results are discussed in light of the defects and the presence of Au impurities in the ZnO nanowires, as revealed by the characterization techniques used, such as X-ray diffraction, field-emission scanning electron microscopy, X-ray photoelectron spectroscopy and photoluminescence spectroscopy. Promising results were obtained by the implementation of ZnO NWs directly grown over alumina substrates for the detection of ethanol and NO2, substantially ameliorating our previously reported results.

The great variety of climatic conditions, tidal ranges and wave regimes of South and Central America act on a complex geology and tectonic framework. Many of the rock and cliffed coasts of South America are strongly controlled by the occurrence of extensive Cenozoic and Pleistocene sediments that crop out at the coast. Geology and the different uplift rates are a major factor in the whole coastal geomorphology of South and Central America, and consequently are a very important control of the processes and landforms of rock coasts. This chapter covers several aspects of the rock coast of South and Central America, with special attention to the combination of tectonic movements and Quaternary Pleistocene-Holocene sea-level changes. © The Geological Society of London 2014.

We present a real-time stamp classifier of astronomical events for the Automatic Learning for the Rapid Classification of Events broker, ALeRCE. The classifier is based on a convolutional neural network, trained on alerts ingested from the Zwicky Transient Facility (ZTF). Using only the science, reference, and difference images of the first detection as inputs, along with the metadata of the alert as features, the classifier is able to correctly classify alerts from active galactic nuclei, supernovae (SNe), variable stars, asteroids, and bogus classes, with high accuracy (~94%) in a balanced test set. In order to find and analyze SN candidates selected by our classifier from the ZTF alert stream, we designed and deployed a visualization tool called SN Hunter, where relevant information about each possible SN is displayed for the experts to choose among candidates to report to the Transient Name Server database. From 2019 June 26 to 2021 February 28, we have reported 6846 SN candidates to date (11.8 candidates per day on average), of which 971 have been confirmed spectroscopically. Our ability to report objects using only a single detection means that 70% of the reported SNe occurred within one day after the first detection. ALeRCE has only reported candidates not otherwise detected or selected by other groups, therefore adding new early transients to the bulk of objects available for early follow-up. Our work represents an important milestone toward rapid alert classifications with the next generation of large etendue telescopes, such as the Vera C. Rubin Observatory.

We present a real-time stamp classifier of astronomical events for the ALeRCE (Automatic Learning for the Rapid Classification of Events) broker. The classifier is based on a convolutional neural network with an architecture designed to exploit rotational invariance of the images, and trained on alerts ingested from the Zwicky Transient Facility (ZTF). Using only the science, reference and difference images of the first detection as inputs, along with the metadata of the alert as features, the classifier is able to correctly classify alerts from active galactic nuclei, supernovae (SNe), variable stars, asteroids and bogus classes, with high accuracy (∼94%) in a balanced test set. In order to find and analyze SN candidates selected by our classifier from the ZTF alert stream, we designed and deployed a visualization tool called SN Hunter, where relevant information about each possible SN is displayed for the experts to choose among candidates to report to the Transient Name Server database. We have reported 3060 SN candidates to date (9.2 candidates per day on average), of which 394 have been confirmed spectroscopically. Our ability to report objects using only a single detection means that 92% of the reported SNe occurred within one day after the first detection. ALeRCE has only reported candidates not otherwise detected or selected by other groups, therefore adding new early transients to the bulk of objects available for early follow-up. Our work represents an important milestone toward rapid alert classifications with the next generation of large etendue telescopes, such as the Vera C. Rubin Observatory's Legacy Survey of Space and Time.

The present study explores socio-cultural priming in native-language processing. Caucasian Italian native speakers completed a written lexical decision task. Written stimuli were preceded by either a prime “white” face (ingroup condition) or a prime “black” face (outgroup condition). Face priming effects were observed in three experiments using different stimuli. Participants were slower in categorizing words, but not non-words, when preceded by an outgroup face than by an ingroup face. Several psycholinguistic variables were manipulated to localize the levels of processing that are affected by socio-cultural prime. The lack of effect with non-word items excludes the possibility that the face priming effect arises at perceptual or attentive levels of processing. In addition, we observed that while the face priming effect does not interact with lexical dimensions, it does interact with a semantic dimension such as imageability. The results indicate that social categories extracted from faces may modulate lexico-semantic processing. Interestingly, such a modulation would occur in the context of a quick and automatic process like visual word recognition in a person’s native language.

© 2019 Elsevier B.V. Tungsten trioxide nanowires were grown employing aerosol assisted chemical vapor deposition (AACVD) and subsequently decorated with different loading levels of iridium oxide nanoparticles. AACVD has been already demonstrated to be a useful tool to load different ranges of nanoparticles on top of an already grown layer. This procedure enables growing the gas sensitive nanomaterials directly onto application substrates for the development of chemo-resistive gas sensors. The morphology and composition of the different materials were characterized via different techniques. It was found that iridium oxide loading resulted in remarkable changes in the morphology and defects of tungsten oxide nanowires. The gas sensing properties of such layers were studied towards ethanol or ammonia vapors, hydrogen, hydrogen sulfide, and nitrogen dioxide. The optimization of the operating temperature and the level of iridium oxide loading results in an improvement in the responsiveness and selectivity towards the species tested. In particular, a dramatically high increase in the response towards nitrogen dioxide is achieved. The mechanisms of gas sensing are discussed in detail.