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The Cueva de Ardales is a hugely important Palaeolithic site in the south of the Iberian Peninsula owing to its rich inventory of rock art. From 2011–2018, excavations were carried out in the cave for the first time ever by a Spanish-German research team. The excavation focused on the entrance area of the cave, where the largest assemblage of non-figurative red paintings in the cave is found. A series of 50 AMS dates from the excavations prove a long, albeit discontinuous, occupation history spanning from the Middle Palaeolithic to the Neolithic. The dating of the Middle Palaeolithic layers agrees with the U/Th dating of some red non-figurative paintings in the entrance area. In addition, a large assemblage of ochre lumps was discovered in the Middle Palaeolithic layers. Human visits of the cave in the Gravettian and Solutrean can be recognized, but evidence from the Aurignacian and Magdalenian cannot be confirmed with certainty. The quantity and nature of materials found during the excavations indicate that Cueva de Ardales was not a campsite, but was mainly visited to carry out non-domestic tasks, such as the production of rock art or the burial of the dead.

The Malalmuerzo cave (Moclín, Granada, Spain) has been known since the 1980s for its archaeological remains and rock art, dated to the Neolithic and the Solutrean periods respectively. However, following thirty years of neglect, our team carried out a brief archaeological intervention after looters destroyed parts of the sediment fill of the cave. The refreshing of disturbed surfaces and the examination of a small undisturbed profile produced many archaeological remains attributed to several Magdalenian levels. The levels partially covered the depiction of a red horse, which probably dates to the Solutrean period. _____________________________________________ RESUMEN La cueva de Malalmuerzo (Moclín, Granada, España) es conocida desde los años 80, del siglo pasado, por albergar restos arqueológicos del Neolítico y arte rupestre Solutrense. Sin embargo, tras treinta años de abandono, nuestro equipo llevó a cabo una intervención de urgencia después de la destrucción a manos de expoliadores de parte del sedimento arqueológico. La regularización y limpieza del perfil aportó gran cantidad de restos adscritos al Magdaleniense. Además se documentó la figura de un équido en rojo solutrense, cuya parte inferior estuvo parcialmente cubierta por el sedimento arqueológico objeto de nuestro estudio.

El trastorno del espectro autista (TEA) se caracteriza por deficiencias en la comunicación e interacción social, donde se incluye la prosodia. Se mencionan alteraciones como monotonía, difícil manejo de volumen y acentos inadecuados, junto a una desconexión entre la entonación y el significado. No obstante, la literatura no es precisa sobre estas características en etapas tempranas. Así, nuestro objetivo fue comparar las diferencias prosódicas del habla entre escolares con diagnóstico de TEA y con desarrollo neurotípico. Mediante un diseño observacional, de corte transversal y alcance comparativo, con muestreo no probabilístico por conveniencia, se incluyó a 37 participantes entre 7 y 11 años (17 con diagnóstico de TEA y 20 neurotípicos), en etapa escolar básica con lectoescritura adquirida. Cada familia realizó la toma de muestra, pidiendo lectura del “Texto del Abuelo” y de la frase “Esta es mi casa”, prolongando la última /a/. Se analizaron F0, intensidad, cantidad y duración de pausas, velocidad y acentos, mediante prueba T y U de Mann Whitney. Los resultados establecen sólo una tendencia en las variables intensidad y cantidad de pausas entre ambos grupos, pero sin diferencias estadísticamente significativas. La ausencia de diferencias podría deberse a la etapa de desarrollo en la que se encuentran los participantes. Considerando las limitaciones (muestra reducida, variabilidad de resultados en individuos, toma de muestras) proponemos profundizar más esta materia realizando los cambios pertinentes para seguir contribuyendo al estudio de esta habilidad comunicativa en esta población.

Abstract South American immigrants in Chile constantly suffer workplace discrimination, which is usually related to different variables that are inherent to their immigration process. The objective of this article was to evaluate perceived workplace discrimination by South American immigrants in Chile. A cross-sectional design with a descriptive scope was used, where the final sample was made up of 612 South American immigrants of legal age who have been living in the country for more than a year. The results indicate that immigrants who perceive more discrimination in the workplace are those who mainly interact with foreigners from a third nationality. Finally, the discussion is presented, contrasting the results with the theoretical framework, weaknesses and strengths of the study are analyzed, and future lines of research are suggested.

El presente estudio evaluó la discriminación percibida por inmigrantes sudamericanos según sus variables sociodemográficas en la región de Tarapacá. Se utilizó un diseño transeccional, en el que se aplicó un cuestionario a 374 inmigrantes sudamericanos mayores de edad y que llevaban más de un año viviendo en Chile. Se realizaron análisis descriptivos y análisis de varianza para identificar las posibles diferencias estadísticamente significativas entre grupos. Los principales resultados apuntan a que las condiciones sociodemográficas asociadas a mayor discriminación fueron: ser nacional de Venezuela, ser mujer, vivir solo/a y relacionarse principalmente con inmigrantes de una tercera nacionalidad. Se discuten las implicancias de los resultados y se realizan sugerencias para futuras investigaciones considerado a la población migrante que reside en esta región.

CO2 emissions play a crucial role in international politics. Countries enter into agreements to reduce the amount of pollution emitted into the atmosphere. Energy generation is one of the main contributors to pollution and is generally considered the main cause of climate change. Despite the interest in reducing CO2 emissions, few studies have focused on investigating energy pricing technologies. This article analyzes the technologies used to meet the demand for electricity from 2016 to 2021. The analysis is based on data provided by the Spanish Electricity System regulator, using statistical and clustering techniques. The objective is to establish the relationship between the level of pollution of electricity generation technologies and the hourly price and demand. Overall, the results suggest that there are two distinct periods with respect to the technologies used in the studied years, with a trend toward the use of cleaner technologies and a decrease in power generation using fossil fuels. It is also surprising that in the years 2016 to 2018, the most polluting technologies offered the cheapest prices.

The global surge in energy demand, driven by technological advances and population growth, underscores the critical need for effective management of electricity supply and demand. In certain developing nations, a significant challenge arises because the energy demand of their population exceeds their capacity to generate, as is the case in Iraq. This study focuses on energy forecasting in Iraq, using a previously unstudied dataset from 2019 to 2021, sourced from the Iraqi Ministry of Electricity. The study employs a diverse set of advanced forecasting models, including Linear Regression, XGBoost, Random Forest, Long Short-Term Memory, Temporal Convolutional Networks, and Multi-Layer Perceptron, evaluating their performance across four distinct forecast horizons (24, 48, 72, and 168 hours ahead). Key findings reveal that Linear Regression is a consistent top performer in demand forecasting, while XGBoost excels in supply forecasting. Statistical analysis detects differences in models performances for both datasets, although no significant differences are found in pairwise comparisons for the supply dataset. This study emphasizes the importance of accurate energy forecasting for energy security, resource allocation, and policy-making in Iraq. It provides tools for decision-makers to address energy challenges, mitigate power shortages, and stimulate economic growth. It also encourages innovative forecasting methods, the use of external variables like weather and economic data, and region-specific models tailored to Iraq's energy landscape. The research contributes valuable insights into the dynamics of electricity supply and demand in Iraq and offers performance evaluations for better energy planning and management, ultimately promoting sustainable development and improving the quality of life for the Iraqi population.

Background and Objectives: The burst of high-throughput omics technologies has given rise to a new era in systems biology, offering an unprecedented scenario for deriving meaningful biological knowledge through the integration of different layers of information. Methods: We have developed a new software tool, MOMIC, that guides the user through the application of different analysis on a wide range of omic data, from the independent single-omics analysis to the combination of heterogeneous data at different molecular levels. Results: The proposed pipeline is developed as a collection of Jupyter notebooks, easily editable, reproducible and well documented. It can be modified to accommodate new analysis workflows and data types. It is accessible via momic.us.es, and as a docker project available at github that can be locally installed. Conclusions: MOMIC offers a complete analysis environment for analysing and integrating multi-omics data in a single, easy-to-use platform.