Biology and management of sarcoptic mange in wild Caprinae populations.

Sarcoptic mange is a cosmopolitan disease affecting the skin of domestic and wild mammalian species and humans as well. In Eurasia, sarcoptidosis (also known as sarcoptic mange or scabies) affects mountain ungulates (Caprinae) among other wild hosts, and epizootic outbreaks induce variable mortality rates. This fact, coupled with the important ecological and socio-economic values of such mammalian hosts, resulted in many research projects being focused on addressing ecological, physiological, behavioural, genetic, and pathological effects of the disease. Nevertheless, information about management of sarcoptic mange in free-ranging populations is scarce and scattered, with contradictory results and a lack of consensus on basic aspects of the disease. In this review, we summarise knowledge on the effects of sarcoptic mange in wild Caprinae, at individual, pathological and population epidemiological levels, as well as on the current tools and management strategies for its detection, diagnosis, prevention, and control. Disease spread in naïve populations is ca. 6 km year−1, and the mortality rate can be >95%. Tools for monitoring the disease include visual diagnosis, photographic traps, trained dogs, thermography, immunodiagnostics, molecular tools, radiocollars, and epidemiological modelling. Options for management include eradication, control, and prevention of the disease; biosecurity and prevention of spread to humans can be achieved by careful hygiene methods. Sarcoptic mange is a natural, biological factor controlling host population numbers and dynamics in Caprinae, so goals and strategies for its management in wild populations must be set accordingly. Specific management programmes for preventing and controlling sarcoptic mange in wild Caprinae populations must be based on reliable epidemiological data. More research is needed to provide evidence-based policies. The efficacy and safety of various management approaches remain to be tested experimentally.Ministerio de Economía y Competitividad (Gobierno de España), a través de los proyectos: CGL2012-40043-C02-01; CGL2012-40043-C02-02; y CGL2016-80543-P

Edición de cartas latinas del humanista Pedro de Valencia: "A Juan Moreto" (segunda carta: estudio introductorio, edición y traducción) y "A Paulo V" (estudio introductorio, edición y traducción), pp. 527-569.

Estudio introductorio, edición y traducción de dos cartas latinas del humanista español Pedro de Valencia, dirigidas respectivamente a Juan Moreto y al papa Pablo V

Dataset for "Predictability and interrelations of spectral indicators for PV performance in multiple latitudes and climates". Solar Energy, 259, 174–187. https://doi.org/10.1016/j.solener.2023.04.067

This dataset comprises spectral global irradiance on the plane of array (tilted) data (Excel files) measured in Madrid and Jaén using EKO MS-700 spectroradiometers during 2015–2016 and 2016–2017, respectively, together with a README file explaining how to interpret the Excel files. An additional Excel file providing the spectral response of the PV materials analysed in the paper is also included. These data support part of the experimental analysis presented in the following paper: Sevillano-Bendezú, M. A., Khenkin, M., Nofuentes, G., de la Casa, J., Ulbrich, C., & Töfflinger, J. A. (2023). Predictability and interrelations of spectral indicators for PV performance in multiple latitudes and climates. Solar Energy, 259, 174–187. https://doi.org/10.1016/j.solener.2023.04.067 How to cite: Nofuentes, G. (2025). Dataset for "Predictability and interrelations of spectral indicators for PV performance in multiple latitudes and climates". Solar Energy, 259, 174–187. https://doi.org/10.1016/j.solener.2023.04.067 [Data set]. Zenodo. https://doi.org/10.5281/zenodo.18056369Ministerio de Ciencia, Innovación y Universidades. Proyecto "Estimacion de la energia generada por modulos fotovoltaicos de capa delgada: influencia del espectro". ENE2008- 05098/AL

Feasibility Study of MOS Gas Sensors for Detecting Mineral Hydrocarbon Contaminants in Freshly Harvested Olives at Different Maturity Stages

The accidental contamination of olives by mineral hydrocarbons, such as diesel, motor lubricants, and hydraulic fluids from agricultural machinery, has become a growing concern in the olive oil industry. In response, European regulatory bodies are working on establishing new standards to address this issue. This study explores the feasibility of using Metal Oxide Semiconductor (MOS) gas sensors as a non-invasive method for detecting such contaminants on freshly harvested olives across different maturity stages. By assessing the sensitivity and selectivity of MOS sensors, this research aims to identify hydrocarbons that may adhere to the olive surface during harvesting and processing. The study involves controlled laboratory contamination scenarios, with samples exposed to various hydrocarbons to evaluate the relative response of individual MOS sensors under reproducible conditions. Findings from this research may provide valuable insights into rapid and cost-effective detection systems, supporting quality control and regulatory compliance in olive oil production, and contributing to the safety and traceability of olive-derived products. As a feasibility study, the results provide a basis for future developments involving multivariate analysis, field-contaminated samples, and industrial implementation

Mechanical, metabolic, and perceptual effect of a bench press leading to failure with relatively light workloads

The aim of this study was to examine the mechanical (number of repetitions per set, movement velocity, countermovement jump height, and handgrip strength), metabolic (lactate, uric acid, and ammonia concentrations), and perceptual (Omni-Res perceived exertion) effects of a bench press exercise performed to failure with a relatively light workload (≈50% 1RM) during a single session and over subsequent days. Twenty-five participants took part in this study. Muscular failure was reached during three sets of the bench press exercise. The workload corresponded to a mean propulsive velocity of 1 m·s#¹. The results showed that mean propulsive velocity decreased as the number of repetitions and sets increased (p < 0.001). The number of repetitions also decreased across sets (p < 0.001). Lactate concentration and OMNI-RES values increased progressively with each set (p < 0.001). In conclusion, the observed reductions in mechanical performance and the high metabolic stress suggest that training to failure should not be frequently implemented in resistance training programs

Development of a sustainable non-intrusive monitoring framework for grid-connected photovoltaic systems

This study assesses the implementation of an advanced, sustainable and non-intrusive monitoring system as a data-driven solution for photovoltaic (PV) asset management. The approach capitalizes on existing devices within PV systems, enabling both new and retrofit applications without disrupting operation, while remaining aligned with IEC 61724-1:2021 guidelines. A full year of operational data from two PV plants in southern Spain was analyzed, yielding high system-level Performance Ratios (PR) between 78.61 % and 86.70 %. The monitoring system provides the basis for developing fault diagnosis methodologies, quantification of energy losses and detection of operational deviations. The cost–benefit analysis is strongly dependent on plant size. In medium-scale systems (100 kW up to 1 MW), its relatively low cost (2.08 %) is outweighed by significant returns derived from improved reliability and enabling the implementation of early fault detection methodologies, while in small-scale systems, the higher proportional cost (30.5 %) remains a barrier to wider adoption. The economic evaluation, carried out on a 44.10 kWp array, classified as small-scale according to the proposed size categorization, shows a Net Present Value (NPV) of 2204.79 €, an Internal Rate of Return (IRR) of 9.96 % and a discounted payback period of 8.93 years, resulting in a cumulative net benefit of 4501.41 €. In medium-scale systems, where relative costs are lower, economic feasibility is expected to be even more favorable. Beyond profitability, the system provides high-resolution historical datasets that support preventive and predictive maintenance strategies, estimation of PV degradation and assessment of economic impacts of anomalies. This hybrid Class A/B-compliant monitoring framework enables energy forecasting, adaptive control and enhanced grid integration, thus fostering both technical and economic sustainability of PV assets.The work was supported by the projects oriented towards the ecological transition and the digital transition. (Grant No. TED2021-131137B-I00 (“Aportación a la Transición Ecológica en el sector Industrial a través del Autoconsumo Fotovoltaico”) and “Centro para el Desarrollo Tecnológico Industrial (CDTI)” and “Corporación Tecnológica de Andalucía (CTA)” under the project: “SolAGRO + . Análisis funcional avanzado predictivo para la mejora de la gestión del mantenimiento de sistemas de autoconsumo solar fotovoltaico en sector de la industria agroalimentaria. Funding for open access charge: Universidad de Jaén/CBUA. The authors also acknowledge the support provided by the Thematic Network 723RT0150 “Red para la integración a gran escala de energías renovables en sistemas electricos (RIBIERSE-CYTED)” financed by the call for Thematic Networks of the CYTED (Ibero American Program of Science and Technology for Development) for 2022. The authors would like to thank the University of Jaén for its support by the programme: “Acción 2. Doctorados en entidades externas comprendida en la “Línea de Actuación: Fomento y divulgación de la transferencia”, enmarcada en el Objetivo 1: “Apoyo a las actividades de trasferencia del conocimiento”, del Plan de Apoyo a la Transferencia del Conocimiento, el Emprendimiento y la Empleabilidad año 2023, para la contratación de doctorandos industriales”

META-ANALISISDEL EFECTO DE LASESTRATEGIAS COGNITIVAS DE APRENDIZAJE SOBRE LA AUTOEFICACIA Y LA MOTIVACIÓN EN LA ENSEÑANZA SUPERIOR (2020-2024)

Se ha demostrado que fomentar la autoeficacia y la motivación es fundamental para mejorar el rendimiento de los estudiantes en contextos de Educación Superior. El presente trabajo de revisión sistemática y meta-análisis pretende establecer evidencias basadas en las investigaciones publicadas en los últimos cinco años (2020-2024) sobre la relación entre las estrategias cognitivas de aprendizaje, motivación y autoeficacia. Para su realización se ha seguido el protocolo PRISMA, impulsado en su última versión por Page et al. (2021). Las bases de datos consultadas para la realización del meta-análisis fueron Wos, Scopus y Dialnet, de acuerdo con los criterios de inclusión y exclusión definidos según las preguntas de investigación. De los 2330 documentos analizados, 20 artículos cumplieron los criterios predefinidos en función de los objetivos planteados en este meta-análisis. Los resultados demuestran un impacto favorable de la motivación y la autoeficacia como estrategias cognitivas sobre el aprendizaje y el rendimiento académico. A partir de los hallazgos obtenidos, se sugiere establecer programas de formación en contextos de Educación Superior, así como desarrollar más estudios que exploren otros factores socioemocionales

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.Objetivo Describir las necesidades paliativas, complejidad de caso y paliativa, fragilidad, pronósticos y otras variables clínicas en pacientes crónicos complejos (PCC) atendidos por atención primaria (AP) en Andalucía. Diseño Estudio descriptivo, transversal y multicéntrico. Emplazamiento Centros de AP de las ocho provincias andaluzas. Participantes 179 PCC seleccionados aleatoriamente por enfermeras gestoras de casos formados en el uso de los instrumentos de evaluación. Intervenciones Se reconocieron variables sociodemográficas y clínicas, y se aplicaron herramientas validadas: NECPAL-ICO-CCOMS© para necesidades paliativas, Frágil-VIG para fragilidad, ICCa para complejidad de caso, IDC-Pal para complejidad paliativa, y los índices PROFUND y PPI para estimar el pronóstico. Mediciones principales La edad media era de 80,59 (± 9,764) años, el 54,7% eran mujeres. El 42,5% cumplió con los criterios NECPAL de PCC avanzado. La fragilidad media fue de 0,37 (± 0,166). El 41,3% fue clasificado como caso complejo (ICCa) y el 26,3% presentó alta complejidad paliativa (IDC-Pal). El riesgo de mortalidad a un año fue del 45-50% (PROFUND), con supervivencia media estimada de 135 días (PPI). Resultados Se obtuvieron diferencias estadísticamente significativas (p ≤ 0,05) en las evaluaciones de las herramientas, por sexo, presencia de deterioro cognitivo y de cuidador/a. Se observaron correlaciones significativas entre fragilidad, complejidad y pronóstico. Conclusiones Un alto porcentaje de PCC atendidos en AP en Andalucía presenta necesidades paliativas, fragilidad y complejidades, con pronóstico de vida limitada. Los resultados refuerzan la necesidad de evaluaciones integrales sistemáticas para identificar precozmente a los pacientes que requieren atención paliativa específica y optimizar el uso de recursos sociosanitarios.El presente trabajo forma parte del Proyecto financiado de investigación: «Identificación de Necesidades y Complejidad Paliativa (Incopal)» (AP-0191-2018) llevado a cabo en el ámbito de la atención primaria del Servicio Andaluz de Salud en Andalucía

Resilience and mood disorder risk factors in Spanish medical students during the COVID-19 outbreak

The COVID-19 situation had a major impact on the mental health of the general population and even more so on university medical students who had to quickly adapt to the situation. The aim of the study was to examine risk and protective factors related to depression, and anxiety in a group of Spanish medical students at two different timepoints during the COVID-19 pandemic. Applying a longitudinal design, participants (N = 472; 62.7% female; aged 18–29, mean 23.3 years, SD = 4.2) completed surveys during the first and second waves of the COVID-19 pandemic. The results confirmed all of the hypothesized models explaining the impact of protective factors on levels of depression and anxiety. In addition, self-efficacy, dispositional optimism and emotional intelligence were found to have positive, statistically significant relationships with resilience and inverse relationships with depression and anxiety. However, different predictive variables for promoting resilience were found depending on the type of adverse situation experienced at each timepoint during the COVID-19 pandemic. The increasingly pressing need for psychological assistance for university students is discussed, and various university strategies for psychosocial prevention and intervention based on protective factors are offered to minimize the effects of exposure to negative situations, considering the type and level of adversity