Resilience in adolescent mental health

Background: Previous research has defined resilience in a variety of ways. Therefore, in order to determine how resilience works within adolescent mental health, adolescent groups facing diverse challenges need to be explored. Objective: The aim of this research is to further define resilience, specifically in the context of adolescent mental health. This research intends to reveal those who do well despite facing major challenges and determine the assets and resources that confer resilience for these individuals. Specific factors might be found to separate those who negotiate the challenges well and those who do not. Methods: The current literature surrounding the concept of resilience was explored through a literature review. The available interventions for child anxiety and bullying was explored through a scoping review. The resilience of two separate adolescent groups was investigated; young adolescents as they transitioned from primary school to secondary school and bullied LGBTQ adolescents. By including two very different groups from opposite ends of adolescence, the evolution of resilience throughout adolescence was observed. The outcomes of these adolescents were determined by anxiety and wellbeing measures. Good outcomes, therefore, suggested higher resilience in order to negotiate the challenges they encountered. Potential resilience factors were measured and compared between those who emerged with either good or poor outcomes, determining which factors were associated with good outcomes and, therefore, resilience. Results: The results of the research suggested that personal and social factors in the form of self-belief and perceived social support were both associated with resilience; these factors potentially provided adolescents with the skills necessary to overcome challenges. Conclusions: Resilience is both internal and external to the individual, each unique adolescent group requires their own specific assets and resources to overcome challenges

Les noms propres et leurs dérivés dans le vocabulaire de l’intelligence artificielle

Les noms propres et leurs dérivés dans le vocabulaire de l'intelligence artificielle – Cet article présente les résultats d'une étude qui porte sur un sujet relativement peu exploré par les terminologues, à savoir la part des noms propres et de leurs dérivés dans la formation des vocabulaires techniques et scientifiques. Nous nous intéressons en particulier dans cet article aux onomastismes qui font partie du vocabulaire de l'intelligence artificielle. L'article se divise en trois parties. Nous présentons tout d'abord les matrices morphosyntaxiques qui composent les onomastismes de l'intelligence artificielle. Nous étudions ensuite les unités terminologiques complexes onomastiques du point de vue du nom propre et de son réfèrent. Enfin, nous examinons ces mêmes unités du point de vue de leur déterminé.Proper Names and Their Derivatives in Artificial Intelligence Terminology – This article presents the results of a study on a topic which has received relatively little attention from terminologists: the place of proper names and their derived forms in the formation of scientific and technical terms. The study focusses on the field of artificial intelligence: the morphosyntactic patterns of onomastic forms used in the field; the complex onomastic terminological units seen from the point of view of the proper noun and its referent; and finally, these forms as examined from the point of view of their base unit

In operando XAS investigation of reduction and oxidation processes in cobalt and iron mixed spinels during the chemical loop reforming of ethanol

FeCo2O4 and CoFe2O4 nanoparticles have been studied as oxygen carriers for the Chemical Loop Reforming (CLR) of ethanol. By using in operando X-ray absorption spectroscopy we have followed in real time the chemical and structural changes that take place on the materials as a function of temperature and reactive atmosphere (i.e. ethanol/water streams). During the first step of CLR for both oxides the most active chemical species are the cations in the tetrahedral sites, irrespective of their chemical nature. Quite rapidly the spinel structure is transformed into a mix of wustite-type oxide and metal alloys, but the formation of a metal phase is easier in the case of cobalt, while iron shows a marked preference to form wustite type oxide. Despite the good reducibility of FeCo2O4 imparted by the high amount of cobalt, its performance in the production of hydrogen is quite poor due to an inefficient oxidation by water steam, which is able to oxidize only the outer shell of the nanoparticles. In contrast, CoFe2O4 due to the residual presence of a reducible wustite phase shows a higher hydrogen yield. Moreover, by combining the structural information provided by X-ray absorption spectroscopy with the analysis of the byproducts of ethanol decomposition we could infer that FeCo2O4 is more selective than CoFe2O4 for the selective dehydrogenation of ethanol to acetaldehyde because of the higher amount of Fe(III) ions in tetrahedral sites

Homomorphic encryption and some black box attacks

This paper is a compressed summary of some principal definitions and concepts in the approach to the black box algebra being developed by the authors. We suggest that black box algebra could be useful in cryptanalysis of homomorphic encryption schemes, and that homomorphic encryption is an area of research where cryptography and black box algebra may benefit from exchange of ideas

Signatures of electron-boson coupling in half-metallic ferromagnet Mn5_5Ge3_3: study of electron self-energy Σ(ω)\Sigma(\omega) obtained from infrared spectroscopy

We report results of our infrared and optical spectroscopy study of a half-metallic ferromagnet Mn$_5$Ge$_3$. This compound is currently being investigated as a potential injector of spin polarized currents into germanium. Infrared measurements have been performed over a broad frequency (50 - 50000 cm$^{-1}$) and temperature (10 - 300 K) range. From the complex optical conductivity $\sigma(\omega)$ we extract the electron self-energy $\Sigma(\omega)$. The calculation of $\Sigma(\omega)$ is based on novel numerical algorithms for solution of systems of non-linear equations. The obtained self-energy provides a new insight into electron correlations in Mn$_5$Ge$_3$. In particular, it reveals that charge carriers may be coupled to bosonic modes, possibly of magnetic origin