Buscar recursos académicos

Abstract The growing importance of machine learning in geological data computing, as well as in the broader geoscience and energy sectors, makes it essential to evaluate the impact of data augmentation on model performan...

Underwater gas pipelines are vital for energy transportation but are often subjected to harsh environments, and any leakage can have significant environmental consequences. Substantial underestimation of gas plume format...

Human induced pluripotent stem cells (iPSCs) are transforming adoptive cell therapy by combining unlimited self-renewal, broad differentiation potential, and high amenability to genome engineering. These attributes make ...

Fungi are ubiquitous across nearly all habitats and play pivotal roles in maintaining ecological sustainability. Understanding the composition and functional roles of active fungal communities is essential for elucidatin...

Neuroinflammation is a key immunological driver of spinal sensitization and the transition from acute to chronic pain. Although mechanical interventions can reduce pain, the immuno-inflammatory mechanisms linking mechani...

This data paper describes bacterial and fungal communities associated with the sponge Chondrilla nucula collected from two Eastern Mediterranean populations (North and South Aegean Sea) and maintained under controlled co...

Abstract Background Drug-induced liver injury (DILI) remains a significant barrier to the safe and efficient use of antimalarial medicines. Many promising compounds fail in late-stage development or post-marketing owing ...

This study investigates the functional modification of ternary ethylene-propylene rubber (EPDM) with benzamine phenol formaldehyde (BPFO) to enhance its properties and compatibility with butadiene-nitrile rubber (NBR). S...

Pipelines are used to transport water, oil, and gas so regular inspection is important to avoid cracks, corrosion, leakage and blockages. Manual inspection is slow, risky and cannot always detect internal damage. This pa...

BackgroundDepressive disorders are clinically heterogeneous and mechanistically complex psychiatric conditions. Transcranial direct current stimulation (tDCS), a key non-invasive neuromodulation technique, has expanded r...

Accurate RNA quantification at the single-cell level is critical for understanding the dynamics of gene expression and regulation across space and time. Single molecule FISH (smFISH), such as RNAscope, provides spatial a...

The emergence of the Metaverse as a persistent, immersive, and interoperable digital ecosystem introduces system-level challenges in identity management, security, and privacy protection across networked extended reality...

Water information systems (ISs) are essential for sustainable water management but are often constrained by fragmented, heterogeneous, and rapidly evolving data. Advances in generative artificial intelligence (GenAI), pa...

As Machine Learning Operations (MLOps) adoption accelerates, systematic integration of explainability is imperative for reliability, transparency, and continuous quality assurance. This paper presents a scoping review ex...

Transposable elements (TEs) make up almost half of the human genome and are among its most densely methylated regions. Their epigenetic silencing is crucial for genomic stability and immune homeostasis, and accumulating ...

Abstract Cracks, especially small cracks are difficult to be detected in oil and gas transportation pipelines buried underground or covered with layers of material by using the traditional ultrasonic inspection technique...

This study explores women’s leadership in higher education through a synthesis of research on leadership trends, organizational challenges, and institutional op-portunities influencing progression into senior academic ...

"Este proyecto optimiza la asignación de CEDEARs entre las bandas de bonificación del programa de market makers de BYMA a través de un modelo predictivo de volúmenes a operar. El objetivo central fue reducir la inefi...

"Se ha realizado un estudio comparativo de alternativas de transporte y distribución de combustibles con el fin de encontrar y evaluar soluciones para aquellas zonas que no tienen acceso a la red de Gas Natural dónde ...

"This thesis investigates the application of machine learning methods to the task of deforestation monitoring using time-series satellite data. The objective is to assess how different algorithmic approaches perform in d...

This work aims to analyse the use of low enthalpy geothermal heat in Bahía Blanca by evaluating different alternatives when using it in a specific project. In Bahía Blanca, Argentina, several boreholes with geothermal ...