Ekoizpen zientifikoa: Envíos recientes
Mostrando ítems 41-60 de 1194
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Rediscovery of the Patagonian mushroom Austroomphaliaster nahuelbutensis 41 years after the type collection
(Fundación Miguel Lillo, 2025)Erected by Garrido in 1988, the genus Austroomphaliaster contains a single species, A. nahuelbutensis, which has not been cited again since its original description. Despite numerous expeditions across the Nothofagus ... -
Hannibal ad portas: prediciendo la distribución potencial del hongo exótico degradador de madera Coniophora olivacea, nuevo en Patagonia
(Fundación Miguel Lillo, 2023)Coniophora olivacea has been traditionally considered as an important decay agent of building timbers of broadleaf and conifer woods, and causes significant damage on doors, window frames and other wood structures exposed ... -
Phylogeny, evolution and ecological speciation analyses of Imperata (Poaceae: Andropogoneae) in the Neotropics
(Taylor & Francis, 2021)Imperata is a ubiquitous grass genus of the tribe Andropogoneae (Poaceae), distributed throughout the world. Previous systematic studies had established that the genus encompasses nine species although no phylogenetic ... -
Geographical distribution and estimation of the climatic tolerance ranges of Poa scaberula (poaceae) in South America
(Pakistan Botanical Society, 2023)This paper analyzes the potential distribution of Poa scaberula (Poaceae) in South America. The study area includes the Andes and the Sierras Pampeanas of Central Argentina. Based on records of occurrence and environmental ... -
La gestión sostenible de personas en las organizaciones de la economía social
(IDOCAL - Universitat de València, 2023)La gestión estratégica en las empresas basada solamente en beneficios económicos está cambiando. Naciones Unidas, tanto con el pacto Mundial como con los nuevos objetivos de desarrollo sostenibles (ODS) de la Agenda 2030, ... -
Battery aging-aware adaptive model predictive control based on coupled semi-empirical electro-thermal and aging models
(Elsevier, 2025)This paper presents an aging-rate aware nonlinear model predictive control (MPC) strategy for battery energy storage systems, integrating a semi-empirical, experimentally validated electro-thermal and degradation model to ... -
Enhancing World Models with Specialized Prediction Networks for Reinforcement Learning
(Springer, 2025)Training robots in the real-world using reinforcement learning is both expensive and risky. World Models—a simulated environment that mirrors real-world conditions—have been proved to offer an alternative to real-world ... -
Elementary band representations for the single-particle Green's function of interacting topological insulators
(American Physical Society, 2021) -
Reality Bites: Assessing the Realism of Driving Scenarios with Large Language Models
(ACM, 2024)Large Language Models (LLMs) are demonstrating outstanding potential for tasks such as text generation, summarization, and classification. Given that such models are trained on a humongous amount of online knowledge, we ... -
Interacting topological quantum chemistry of Mott atomic limits
(American Physical Society, 2023)Topological quantum chemistry (TQC) is a successful framework for identifying (noninteracting) topological materials. Based on the symmetry eigenvalues of Bloch eigenstates at maximal momenta, which are attainable from ... -
Disposition Towards Critical Thinking and Student Engagement in Higher Education
(Springer Nature, 2023)Developing student critical thinking skills is a core purpose of higher education, and requires the cognitive and disposition components of critical thinking to be fostered. The present study aims to examine the relationship ... -
The enculturation process in early childhood education and care: a mixed methods study
(Taylor & Francis Group, 2024-08)The aim of this exploratory sequential mixed methods study was to examine the beliefs of Early Childhood Education teachers regarding the enculturation process of children. Eleven 2-year-old classroom teachers (Mage = 40.64; ... -
Student and teacher perceptions of the outdoor experience on traditional playgrounds: a case study
(Taylor & Francis Group, 2014-06)Outdoor education fosters student well-being, development and learning. However, many schools restrict outdoor experience to their own playground, and to times considered recess. This case study, which examined student and ... -
Image Enhancement using GANs for Monocular Visual Odometry
(IEEE, 2021)Drones, mobile robots, and autonomous vehicles use Visual Odometry (VO) to move around complex environments. ORB-SLAM or deep learning-based approaches like DF-VO are two of the state-of-the-art technics for monocular VO. ... -
Robustness Evaluation of Energy Management Strategies for Hydrogen-Based Railway Vehicles
(IEEE, 2023)This paper presents a robustness analysis of different energy management strategies designed for hydrogen-based rail vehicles. From the analyzed 4 strategies, one is based on dynamic programming, two are rule-based strategies ... -
Adaptive long-term traffic state estimation with evolving spiking neural networks
(Elsevier, 2019-01-29)Due to the nature of traffic itself, most traffic forecasting models reported in literature aim at producing short-term predictions, yet their performance degrades when the prediction horizon is increased. The scarce ... -
Road traffic forecasting: recent advances and new challenges
(IEEE, 2018-04-20)Due to its paramount relevance in transport planning and logistics, road traffic forecasting has been a subject of active research within the engineering community for more than 40 years. In the beginning most approaches ... -
Lecture notes on Berry phases and topology
(SciPost Foundation, 2022)In these notes, we review the role of Berry phases and topology in noninteracting electron systems. Topics including the adiabatic theorem, parallel transport, and Wannier functions are reviewed, with a focus on the ... -
Evolving Spiking Neural Networks for online learning over drifting data streams
(Elsevier, 2018-06-18)Nowadays huge volumes of data are produced in the form of fast streams, which are further affected by non-stationary phenomena. The resulting lack of stationarity in the distribution of the produced data calls for efficient ...
