Resultados de investigación

Este proyecto tiene como objetivo analizar la relación entre el deterioro cognitivo y los biomarcadores centrales de la enfermedad de Alzheimer (EA), con especial atención a formas atípicas en las que el deterioro no amnésico es frecuente. Aunque las baterías neuropsicológicas incluyen pruebas que evalúan distintos dominios cognitivos, actualmente no existe un consenso claro sobre cómo estas alteraciones se relacionan con biomarcadores como la proteína tau fosforilada (pTau) y el beta amiloide (Aβ). Para abordar esta cuestión, se llevó a cabo un estudio observacional en una muestra de 19 participantes con diagnóstico confirmado de EA, reclutados en el Hospital Universitario Virgen Macarena (Sevilla, España). Debido al tamaño reducido de la muestra, no se realizó una clasificación fenotípica diferenciada, analizándose los pacientes como un único grupo. Se emplearon escalas estandarizadas para la evaluación cognitiva, y los datos fueron analizados mediante el software estadístico SPSS. Los resultados indican que el conjunto de biomarcadores no predice de manera concluyente la severidad global del deterioro cognitivo. No obstante, se observaron asociaciones significativas entre los niveles de pTau y tau total (tTau) y déficits cognitivos específicos. Además, se evidenció una afectación marcada de la memoria inmediata y del recuerdo diferido, así como una fuerte interrelación entre los distintos dominios cognitivos. Estos hallazgos subrayan la importancia de una evaluación neuropsicológica integral en la práctica clínica, especialmente para facilitar el diagnóstico temprano en variantes atípicas de la EA., El dataset incluye las siguientes variables organizadas por categorías: Evaluación cognitiva global: Puntuación total del MMSE/MSE Clinical Dementia Rating (CDR): • Puntuación global • Subescalas: Memoria; Orientación; Juicio y resolución de problemas; Actividades comunitarias; Hogar y aficiones;Cuidado personal RBANS: • Puntuación total • Subescalas: Memoria inmediata; Memoria diferida; Atención; Lenguaje ; Habilidades visuoespaciales/construccionales 5. Biomarcadores en líquido cefalorraquídeo (LCR) • Niveles de beta-amiloide (Aβ) • Niveles de tau total (tTau) • Niveles de tau fosforilada (pTau) • Ratio pTau/Aβ

This dataset contains optimized VASP-format atomic coordinates for DFT computational models of MM'X compounds. It includes 940 optimized structures for the high-throughput DFT/ML database and 499 optimized representative and non-representative supercell structures used for the supercell-consistency analysis., The dataset includes two ZIP archives of optimized VASP-format structures and two CSV manifest files. The ML archive contains 940 structures, and the supercell-consistency archive contains 499 structures for the Mn_xFe_{1-x}NiSi, MnNiSi_{1-x}Ge_x, and MnNi_{1-x}Fe_xSi series.

Una tabla excel por cada figura conteniendo datos numéricos del trabajo

The potassium–chloride cotransporter KCC2 is the main extruder of Cl- in neurons. It plays a fundamental role in the activity of the inhibitory neurotransmitters (GABA and glycine) since low levels of KCC2 promote intracellular Cl- accumulation, leading to the depolarizing activity of GABA and glycine. The downregulation of this cotransporter occurs in neurological disorders characterized by hyperexcitability, such as epilepsy, neuropathic pain, and spasticity. KCC2 is also downregulated after axotomy. If muscle reinnervation is allowed, the KCC2 levels recover in motoneurons. Therefore, we argued that target-derived neurotrophic factors might be involved in the regulation of KCC2 expression. For this purpose, we performed the axotomy of extraocular motoneurons via the monocular enucleation of adult rats, and a pellet containing either VEGF or BDNF was chronically implanted in the orbit. Double confocal immunofluorescence of choline acetyl-transferase (ChAT) and KCC2 was carried out in the brainstem sections. Axotomy led to a KCC2 decrease in the neuropil and somata of extraocular motoneurons, peaking at 15 days post-lesion, with the exception of the abducens motoneuron somata. VEGF administration prevented the axotomy-induced KCC2 downregulation. By contrast, BDNF either maintained or reduced the KCC2 levels following axotomy, suggesting that BDNF is involved in the axotomy-induced KCC2 downregulation in extraocular motoneurons. The finding that VEGF prevents KCC2 decrease opens up new possibilities for the treatment of neurological disorders coursing with neuronal hyperactivity due to KCC2 downregulation.

Primera cita de Neofusicoccum parvum y N. australe en España como agentes patógenos produciendo chancros en plantas de arándano de la provincia de Huelva. Se hizo una identificación morfológica y molecular de los aislados encontrados y se confirmó la patogenicidad de dichos aislados con un ensayo cumpliendo los postulados de Koch.

Datos anónimos de una encuesta administrada a estudiantes andaluces de Educación Secundaria sobre su respuesta como espectadores a situaciones de acoso sexual entre iguales. Además, se incluyen las sintaxis empleadas en el programa MPLUS para realizar AFC, e invarianza por tipo de respuesta y género. Estos datos han sido obtenidos en el marco del Proyecto “Los jóvenes frente al acoso sexual: evaluación de los procesos de toma de decisiones morales utilizando la Realidad Virtual (GoByst!) financiado por el Ministerio de Ciencia e Innovación [PID2020-115729RB-I00].

The identification phase, in accordance with the PRISMA 2020 guidelines, requires specifying the databases consulted and the exact strategy used to locate studies. The Web of Science (WoS) database was selected to conduct this review. Specifically, only the WoS Core Collection (SSCI and SCI-Expanded) was targeted to guarantee that all included empirical studies had surpassed the most rigorous indexing standards of the Journal Citation Reports (JCR)—uniquely relevant to the Management and Computer Science areas addressed in this research—thereby ensuring the maximum methodological quality of the audited evidence. This delimitation was adopted to restrict the scope to a database of maximum rigor. When performing the document search, the following keyword sequence was utilized in the search engine: (“Artificial Intelligence”) AND (“Recruitment”). This combination was used as a Boolean indexing root within the Topic fields, as the granularity of sub-terms (NLP, LLM, Neural Networks) was naturally absorbed due to the high cross-indexing of WoS. These two terms were chosen as root macro-concepts precisely to prioritize the specificity of thematic matching in high-level management fields, avoiding the noise of pure engineering terms alien to HR. Following the search, executed on January 20, 2026, a total of 438 initial records were obtained, establishing December 31, 2025, as the inclusion deadline. However, with the purpose of obtaining a sample of recent, thematic, and fully accessible literature for complete review, the following search and selection criteria were applied directly within the platform: - Access filter: Results were restricted to Open Access publications. This filter was applied under the principles of Open Science, given that AI research applied to human resources is heavily published in open repositories due to the speed of technological transfer and to ensure full access, auditability, and reproducibility of the sample by the scientific community, accepting any coverage limitations this might imply; the combination of the WoS Core Collection with the Open Access filter guaranteed that the final sample was auditable, reproducible, and of high normative impact, minimizing the influence of grey literature. - Temporal filter: The analysis period was defined for articles published or indexed up to December 2025. - Document types: Research articles were exclusively selected (Article). - Language filter: The search was configured to include only publications in English, thus guaranteeing the linguistic homogeneity of the analysis. - Knowledge area filter: Categories closely aligned with this study were exclusively selected (Business Economics, Engineering, Computer Science, Physiology [due to the potential use of biometrics, facial expression recognition, or neuroscience], and Social Sciences Other Topics), discarding any scientific discipline unrelated to the purpose of the research.

This dataset contains participant-level tabular data from a clinical study on ocular surface/dry eye outcomes, including demographic variables and repeated measures collected at baseline (B), 3 months (3M), and 6 months (6M). Variables include OSDI questionnaire scores, non-invasive tear break-up time (NIBUT), Schirmer test values (ST), and additional derived change-score variables computed by the study team.