Water in the 2000 Virginia General Assembly
The Virginia General Assembly held its 2000 session from January 12 to March 10. Lawmakers considered 3,172 bills and resolutions (compared to 2,735 measures considered in 1999).
Virginia Water Resources Research Center
core
Advanced satellite-based remote sensing and data analytics for precision water resource management and agricultural optimization. [PDF]
Ali A +7 more
europepmc +1 more source
A magnetically reconfigurable airflow sensor integrated with an airway stent enables tunable sensitivity and dynamic sensing range. Airflow‐induced cantilever deformation generates resistance changes, while an external magnetic field modulates sensor stiffness, enhancing sensitivity at low airflow velocities and extending the sensing range at higher ...
Darren Wang +10 more
wiley +1 more source
Integrated Water Resource Management under Ecosystem Services Approach-The Chimulala Micro-watershed, Peru. [PDF]
Cifuentes-Herrera LF +3 more
europepmc +1 more source
Sustainable Water Resource Management of Regulated Rivers under Uncertain Inflow Conditions Using a Noisy Genetic Algorithm. [PDF]
Yu C, Yin X, Yang Z, Dang Z.
europepmc +1 more source
Visible‐Blind Near‐Infrared Organic Vision Sensors for Imaging in Adverse Environmental Conditions
This work presents high‐performance visible‐blind NIR OPDs enabled by a multilayer optical modulation layer. The devices achieve strong visible‐light suppression and enhanced NIR sensitivity, enabling robust imaging in foggy or low‐light environments.
Baozhong Deng +9 more
wiley +1 more source
Assessment of nature-based solutions for water resource management in agricultural environments: a stakeholders' perspective in Southern Italy. [PDF]
Netti AM +6 more
europepmc +1 more source
Opening the black box of spring water microbiology from alpine karst aquifers to support proactive drinking water resource management. [PDF]
Savio D +12 more
europepmc +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
Integrated approach to water resource management in Mashhad Plain, Iran: actor analysis, cognitive mapping, and roadmap development. [PDF]
Kolahi M +2 more
europepmc +1 more source

