Results 41 to 50 of about 330,204 (314)
Benefits and limitations of data assimilation for discharge forecasting using an event-based rainfall–runoff model [PDF]
Mediterranean catchments in southern France are threatened by potentially devastating fast floods which are difficult to anticipate. In order to improve the skill of rainfall-runoff models in predicting such flash floods, hydrologists use data ...
C. Bouvier +10 more
core +1 more source
Polyelectrolyte scaffold coatings modified with Cu and Fe3O4 nanoparticles regulate neural stem cell behavior in vitro. Increased Fe3O4 content enhances mitochondrial activity and neuronal differentiation, whereas higher Cu levels reduce cell viability.
Anna Grzeczkowicz +5 more
wiley +1 more source
Sustainability consciousness level among pre-service biology teacher student
The Sustainable Development Goals (SDGs), established by the United Nations in 2015, aim to address global challenges such as poverty, inequality, and climate change.
Defrian Melta +3 more
doaj +1 more source
On optimal solution error covariances in variational data assimilation problems
The problem of variational data assimilation for a nonlinear evolution model is formulated as an optimal control problem to find unknown parameters such as distributed model coefficients or boundary conditions. The equation for the optimal solution error
Le Dimet, F.X. +6 more
core +1 more source
The Future of Research in Cognitive Robotics: Foundation Models or Developmental Cognitive Models?
Research in cognitive robotics founded on principles of developmental psychology and enactive cognitive science would yield what we seek in autonomous robots: the ability to perceive its environment, learn from experience, anticipate the outcome of events, act to pursue goals, and adapt to changing circumstances without resorting to training with ...
David Vernon
wiley +1 more source
This study aims to examine the effectiveness of the application of the CRT-based PBL model on science learning outcomes on ecology and biodiversity material in junior high school grade VII. This study used a quasi-experimental design with the post
Lusi Rahmawati, Lina Agustina
doaj +1 more source
Grounding Large Language Models for Robot Task Planning Using Closed‐Loop State Feedback
BrainBody‐Large Language Model (LLM) introduces a hierarchical, feedback‐driven planning framework where two LLMs coordinate high‐level reasoning and low‐level control for robotic tasks. By grounding decisions in real‐time state feedback, it reduces hallucinations and improves task reliability.
Vineet Bhat +4 more
wiley +1 more source
This study intends to increase students' digital literacy abilities through the implementation of Smart Edu learning media in plant breeding material. This is a research and development project.
Fajarani Fitriasih +4 more
doaj +1 more source
This study aims to describe the suitability of "Sigeram" derived from the acronym "sistem gerak manusia” or human movement system to become an android-based interactive learning media for biology subjects.
Putri Hapsari +2 more
doaj +1 more source
Liquid Crystalline Elastomers in Soft Robotics: Assessing Promise and Limitations
Liquid crystalline elastomers (LCEs) are programmable soft materials that undergo large, anisotropic deformation in response to external stimuli. Their molecular alignment encodes directional actuation in a monolithic structure, making them long‐standing candidates for soft robotic systems.
Justin M. Speregen, Timothy J. White
wiley +1 more source

