Results 51 to 60 of about 192,399 (251)

Grounding Large Language Models for Robot Task Planning Using Closed‐Loop State Feedback

open access: yesAdvanced Robotics Research, EarlyView.
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

Effect of Radio Frequency Interference-Contaminated AMSR2 Signal Restoration on Soil Moisture Retrieval

open access: yesRemote Sensing, 2022
Soil moisture is a key variable of the climate system. Microwave remote sensing has become an essential means of obtaining soil moisture because of the unique advantages of its all-day and all-weather observation capability.
Xuesong Bai   +3 more
doaj   +1 more source

Liquid Crystalline Elastomers in Soft Robotics: Assessing Promise and Limitations

open access: yesAdvanced Robotics Research, EarlyView.
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

Comparative and Quality Analysis of Radio Occultation Data from FY-3E/GNOS and COSMIC-2

open access: yesGaoyuan qixiang
Radio Occultation data are of great value in numerical weather forecasting and climate monitoring.This study evaluates the deviation characteristics of occultation data from the FY-3E/GNOS and COSMIC-2 satellites with ERA5 reanalysis data.The results ...
Shihan WANG   +2 more
doaj   +1 more source

Improved Estimation of O-B Bias and Standard Deviation by an RFI Restoration Method for AMSR-2 C-Band Observations over North America

open access: yesRemote Sensing, 2022
Spaceborne microwave radiometer observations play vital roles in surface parameter retrievals and data assimilation, but widespread radio-frequency interference (RFI) signals in the C-band channel result in a lack of valuable data over large areas ...
Wangbin Shen   +3 more
doaj   +1 more source

Cross Kingdom Metabolic Engineering Paradigm Elevating Sustainable Protein Production

open access: yesAdvanced Science, EarlyView.
ABSTRACT Confronting the dual crisis of escalating global protein demand and unsustainable agriculture necessitates transformative solutions. Here, we pioneer evolutionary insights from maize nitrogen optimization via asparagine synthetase (ASNS) to rewire metabolism in Pichia pastoris.
Yuanyuan Du   +4 more
wiley   +1 more source

Influence of CO2 observations on the optimized CO2 flux in an ensemble Kalman filter [PDF]

open access: yesAtmospheric Chemistry and Physics, 2014
In this study, the effect of CO2 observations on an analysis of surface CO2 flux was calculated using an influence matrix in the CarbonTracker, which is an inverse modeling system for estimating surface CO2 flux based on an ensemble Kalman filter.
J. Kim, H. M. Kim, C.-H. Cho
doaj   +1 more source

Transcription Factor Promiscuity Drives Regulatory Rewiring and Evolvability in Gene Networks in Bacteria

open access: yesAdvanced Science, EarlyView.
When a master transcription factor (TF) is lost, bacteria can rapidly rewire gene regulatory networks by co‐opting related regulators. Using experimental evolution in Pseudomonas fluorescens, we show that TF promiscuity (low‐level, non‐cognate binding) provides the raw material for rewiring. Successful co‐option follows a predictable hierarchy governed
Tiffany B. Taylor, Alan M. Rice
wiley   +1 more source

Development and Evaluation of a New Method for AMSU-A Cloud Detection over Land

open access: yesRemote Sensing, 2021
Satellite data are the main source of information for operational data assimilation systems, and Advanced Microwave Sounding Unit-A (AMSU-A) data are one of the types of satellite data that contribute most to the reduction of numerical forecast errors ...
Zhiwen Wu, Juan Li, Zhengkun Qin
doaj   +1 more source

Variational data-consistent assimilation

open access: yesComputer Methods in Applied Mechanics and Engineering
This work introduces a new class of four-dimensional variational data assimilation (4D-Var) methods grounded in data-consistent inversion (DCI) theory. The methods extend classical 4D-Var by incorporating a predictability-aware regularization term. The first method formulated is referred to as Data-Consistent 4D-Var (DC-4DVar), which is then enhanced ...
Rylan Spence, Troy Butler, Clint Dawson
openaire   +2 more sources

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