Results 141 to 150 of about 961,232 (278)

Areas of research priorities in epilepsy: A position paper of the European Reference Network for Rare and Complex Epilepsies, EpiCARE

Epilepsia Open, EarlyView.
Abstract Objective To define and articulate research priorities in epilepsy identified by the European Reference Network for Rare and Complex Epilepsies (ERN EpiCARE), addressing key unmet needs across the spectrum of rare and complex epilepsies. Methods This position paper was developed through a structured collaborative process involving patient ...
Sébile Tchaicha, Stéphane Auvin, Sándor Beniczky, Andreas Brunklaus, Lieven Lagae, Emilio Perucca, Rainer Surges, Sophie Adler, Christoph Helmstaedter, Floor Jansen, Guido Rubboli, Philippe Ryvlin, Nicola Specchio, Eugen Trinka, Ingmar Blümcke, Valentina de Giorgis, Katarzyna Kotulska, Gaetan Lesca, Masa Malenica, Amy McTague, Rima Nabbout, Rikke Steensbjerre Møller, Sandra Silva Arrieta, Isabella Brambilla, Małgorzata Kosla, Kees Braun, J. Helen Cross, Alexis Arzimanoglou   +27 more
wiley   +1 more source

ARTĂ ȘI POLITICĂ. UN TERITORIU COMBATANT AL COLABORĂRII [PDF]

Revista de Știinţe Politice şi Relaţii Internaţionale
The present study aims to identify, analyse and illustrate with concrete examples – a selection of art works and famous artists – the complex interaction between art and politics, viewed from an historical perspective.
NEGOIȚĂ, ANA
doaj  

Seismic Design of Concrete Dams: An Integrated Risk‐Informed Performance‐Based (RIPB) Framework

Earthquake Engineering &Structural Dynamics, EarlyView.
ABSTRACT This paper advances the integration of risk‐informed principles into the seismic design of dams—a domain long guided by standards‐based, largely deterministic approaches. While performance‐based earthquake engineering is well established for buildings and bridges, its systematic adoption in dam engineering remains limited. We first address two
M. Amin Hariri‐Ardebili, Larry K. Nuss
wiley   +1 more source

Time‐ and State‐Dependent Damage Accumulation Due to Aftershocks Under an M9.0 Megathrust Earthquake in the Cascadia Subduction Zone

Earthquake Engineering &Structural Dynamics, EarlyView.
ABSTRACT This study develops a comprehensive framework for assessing time and state‐dependent aftershock damage accumulation under an M9.0 megathrust interface earthquake in the Cascadia Subduction Zone (CSZ). The framework integrates aftershock probabilistic seismic hazard analysis (APSHA) and state‐dependent fragility analysis (SDFA) within a ...
Hongzhou Zhang, Yazhou Xie
wiley   +1 more source

High‐Fidelity Simulation‐Driven Control Framework for Robust Grid Integration of Renewable Energy Systems

Energy Science &Engineering, EarlyView.
This work proposes a high‐fidelity, simulation‐driven control framework for robust grid integration of hybrid PV–wind systems using a modular, hierarchical multi‐loop architecture with adaptive decision logic. The framework coordinates power, DC‐link voltage, and grid currents under fast load and generation changes, enabling safe exploration of extreme
Wulfran Fendzi Mbasso, Ambe Harrison, Idriss Dagal, Pradeep Jangir, Zhe Liu, Aseel Smerat   +5 more
wiley   +1 more source

Prediction of Energy Consumption and Energy Savings in an Urban Vertical Farm Benchmark

Energy Science &Engineering, EarlyView.
This research conducted a comprehensive energy consumption analysis of a vertical farm benchmark integrating cultivation, storage, transportation and office functions. It proposed the adoption of small‐scale wind turbines to reduce energy expenditure, hence addressing various sustainability development goals.
Simeng Xie, Pedro Martinez‐Vazquez, Charalampos Baniotopoulos   +2 more
wiley   +1 more source

Interoceptive grounding of conceptual knowledge: new insight from an interoceptive-exteroceptive categorization task of concepts. [PDF]

Psychol Res
Barca L, Diana SM, Duarte DC, Porciello G, Borghi AM.   +4 more
europepmc   +1 more source

Performance Monitoring of Photovoltaic Modules Using Machine‐Learning‐Based Solutions: A Survey of Current Trends

Energy Science &Engineering, EarlyView.
The graphical abstract presents the concept of applying machine‐learning algorithms to assess the performance of photovoltaic modules. Data from solar panels are fed to surrogates of intelligent models, to assess the following performance metrics: identifying faults, quantifying energy production and trend degradation over time. The combination of data
Nangamso Nathaniel Nyangiwe, Abraham Dimitri Kapim Kenfack, Nicolas Thantsha, Mandla Msimanga   +3 more
wiley   +1 more source

Advances in Binders for Construction Materials. [PDF]

Materials (Basel)
Otero J.
europepmc   +1 more source

Predicting Parameters Affecting Building Energy Consumption Using Machine Learning Models

Energy Science &Engineering, EarlyView.
This framework integrates long‐term weather forecasting with building energy simulation to predict energy demand. The CNN–LSTM model achieved the highest accuracy (R2 ≈ 0.95), supporting smart HVAC control with ~ 15% energy savings. ABSTRACT The rapid growth of population and the construction industry have led to an increase in energy demand and an ...
Bassam Musheer Kareem, Abdolsalam Ebrahimpour, Jafar Ghafouri, Roghayyeh Motallebzadeh   +3 more
wiley   +1 more source