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Association between co‐sleeping in the first year of life and preschoolers ́ sleep patterns
No full textThis study aimed to investigate the association between co-sleeping practiced during the first year of life and preschoolers'
sleep patterns. A cross-sectional study including toddlers was designed to analyze their sleep patterns. The Brief Infant
Sleep Questionnaire, validated in Spanish, was used to measure sleep quality. A latent class analysis was performed to
identify qualitative subgroups in the sample and explore the effects of co-sleeping. The sleep patterns of 276 children were
analyzed. A total of 181 (65%) parents reported having practiced co-sleeping with their children. The latent class analysis
identified a two-class solution with two different sleep patterns. One of them showed a worse quality sleep pattern, which
had a significant association with having practiced co-sleeping during the first year of life, and with the fact that they were
still sleeping in the parents' room, among other characteristics related to co-sleeping and parental concerns. Breastfeeding
also showed association with a worse quality sleep pattern.
Conclusion: Based on the present findings, co-sleeping during the first year of life appears to be associated with poor
sleep patterns in young preschoolers
Fichas de buenas prácticas para la atención a problemas de salud mental en Educación Primaria. Una herramienta de ayuda para los centros educativos. Ficha individual: Problemas de conducta
No full textMaterial elaborado en el marco del proyecto de investigación orientado a la transferencia del conocimiento,
"Revisión y valoración de políticas de prevención e intervención en salud mental infanto-juvenil
en centros educativos” (IP, Martiño Rodríguez-González, ICS-UNAV) desarrollado por la Universidad
de Navarra en colaboración con la Universidad Internacional de La Rioja UNIR- ITEI. Esta guía pretende proporcionar al profesorado un marco de comprensión sencillo acerca de los problemas de salud mental en la etapa de primaria, así como identificar señales de alarma y ofrecer pautas para un primer abordaje con los estudiantes que puedan estar experimentando tales problemas. La guía busca promover y prevenir la salud mental, pero en ningún diagnosticar u orientar sobre la forma de intervenir. El objetivo de este documento es prevenir y detectar los problemas de salud mental, además de planificar el acompañamiento, cuidado y, en caso necesario, derivación a los servicios especializados de salud mental. Ayudar al alumno es, en gran medida, conseguir coordinarse y colaborar con las familias y otros profesionales externos al centro educativo. Para cada una de las fichas incluidas en este documento, se sigue la misma estructura: primero, una introducción sobre el problema de salud mental o el trastorno en cuestión; segundo, se detallan las principales señales de alarma que pueden ser observadas por el docente en diferentes espacios y situaciones escolares; finalmente, se proporcionan sugerencias sobre su abordaje, ¿qué puede hacer el maestro o profesor ante esto
Química Farmacéutica I. Anestésicos. Fundamento teórico: Derivados de lidocaína
No full textTemas de la Asignatura Química Farmacéutica I de 3º de Farmacia
GeNNius: an ultrafast drug-target interaction inference method based on graph neural networks
No full textMotivation: Drug-target interaction (DTI) prediction is a relevant but challenging task in the drug repurposing field. In-silico approaches have drawn particular attention as they can reduce associated costs and time commitment of traditional methodologies. Yet, current state-of-the-art methods present several limitations: existing DTI prediction approaches are computationally expensive, thereby hindering the ability to use large networks and exploit available datasets and, the generalization to unseen datasets of DTI prediction methods remains unexplored, which could potentially improve the development processes of DTI inferring approaches in terms of accuracy and robustness.
Results: In this work, we introduce GeNNius (Graph Embedding Neural Network Interaction Uncovering System), a Graph Neural Network (GNN)-based method that outperforms state-of-the-art models in terms of both accuracy and time efficiency across a variety of datasets. We also demonstrated its prediction power to uncover new interactions by evaluating not previously known DTIs for each dataset. We further assessed the generalization capability of GeNNius by training and testing it on different datasets, showing that this framework can potentially improve the DTI prediction task by training on large datasets and testing on smaller ones. Finally, we investigated qualitatively the embeddings generated by GeNNius, revealing that the GNN encoder maintains biological information after the graph convolutions while diffusing this information through nodes, eventually distinguishing protein families in the node embedding space.
Availability and implementation: GeNNius code is available at https://github.com/ubioinformat/GeNNius
Volatility persistence in metal prices
No full textThis article deals with the analysis of volatility persistence in a group of metal prices, namely gold, silver, copper, platinum, aluminium, palladium, lead, zinc and tin, using monthly data from January 1994 to February 2023. Applying fractional integration techniques, the findings show that all series are highly persistent, although the prices for Gold and Silver display a limited mean reversion. The volatility was approximated by the absolute and squared returns and the results show that in the case of the annual difference returns, the series are persistent and the evidence of mean reversion is only observed for Gold and Silver. In the case of monthly differences, the hypothesis of short memory (d = 0) behavior cannot be rejected in all cases. For the absolute returns, the values are all positive, denoting a long memory ranging from 0.14 for Gold to 0.18 for Silver. For the squared returns, the values are slightly smaller but positive, ranging from 0.11 (Gold) to 0.16 (Aluminum and Palladium). The supply-side economic policy should be intensified in the case of the most volatile metals
Assessing palliative care in the Eastern Mediterranean Region 2021
No full textThe report identifies context-specific indicators that can be used for evaluation and monitoring of the progress of
palliative care development in the Eastern Mediterranean Region
From heterogeneity to inequality: The impact of nationality diversity on leadership in multinational teams
No full textThis study distinguishes heterogeneity and inequality by exploring how nationality diversity influences leadership perceptions in multinational teams. Using two studies that assessed 105 (Study 1) and 40 (Study 2) teams comprising 4,120 and 2,180 dyads respectively, we find that nationality-based status influences leadership perceptions directly and indirectly through competence perceptions of higher-status peers. Nationality-based identity had no direct effect, but some evidence suggests an indirect effect on leadership that was mediated by warmth perceptions of culturally similar peers. These findings highlight nationality as a source of inequality beyond heterogeneity, elucidating the social perceptual paths that shape leadership in multinational contexts
