Quantifying the Impact of Air Pollution from Coal-Fired Electricity Generation on Crop Productivity in India

Earth Sciences, Atmospheric Science, Engineering, Environmental Engineering,
coal-fired electricity   crop productivity   air pollution   India   food security  

Impact of Air Pollution from Coal-Fired Electricity Generation on Crop Productivity in India Academic Background India is one of the world’s largest agricultural producers and also one of the most air-polluted countries. Coal-fired power generation is a primary source of electricity supply in India, but the air pollutants it generates, especially n...

Control of Movement: Kinematic Hand Synergies Differ Between Reach-and-Grasp and Functional Object Manipulation

Engineering, Medicine, Neurology, Life Sciences, Bioengineering,
hand movement   kinematic synergies   functional manipulation   grasping   tool use   motor control   complex tasks  

Human Hand Movement Control—Differences in Kinematics Between Functional Object Manipulation and Grasping Actions Academic Background The functionality of the human hand plays a crucial role in daily life, particularly through its dexterity, which allows us to use tools to complete various complex tasks. However, millions of people lose hand functi...

Adaptive Quantized Control for a Class of Hysteresis Nonlinear System with Irregular Constraints and Its Application to Piezoelectric Positioning Stage

Engineering, Electrical Engineering, Information Science, Automation, Artificial Intelligence,
irregular constraints   hysteresis nonlinear systems   adaptive control   quantized control   piezoelectric positioning   system transformation   smart materials  

Adaptive Quantized Control Research for Hysteresis Nonlinear Systems in Piezoelectric Positioning Stages Background Introduction In modern high-precision positioning systems, smart materials (such as piezoelectric ceramics) are widely used in micro/nano manufacturing and soft robotics due to their excellent performance. However, the inherent hyster...

Exoskeleton-Assisted Stance and Kneeling Balance and Work Task Evaluation in Construction

Engineering, Mechanical Engineering, Architecture and Civil Engineering, Information Science, Automation, Artificial Intelligence, Medicine, Orthopedics,
exoskeleton   construction workers   balance control   virtual reality   welding tasks   knee joint   fall risk reduction  

Balance and Task Evaluation of Construction Workers Assisted by Knee Exoskeletons Background Introduction Construction workers face serious safety and health risks in hazardous working environments, especially when working at heights. Prolonged standing and kneeling postures can lead to knee injuries, musculoskeletal disorders, and visual disturban...

Automated Strategy for Tissue Analysis in Anatomic Pathology: Fiducial Marker Integration and Multisurface Tissue Comparison

Engineering, Information Science, Automation, Artificial Intelligence, Medicine, Medical Laboratory Science,
automation   tissue analysis   fiducial marker   anatomic pathology   neural network  

Automated Strategy for Tissue Analysis in Anatomic Pathology: Fiducial Marker Integration and Multisurface Tissue Comparison Background Introduction In anatomic pathology laboratories, many processes still rely on manual operations, especially in the preparation and processing of paraffin-embedded tissue blocks (PETBs). Manual operations not only l...

Geodesic Distance Field-Based Five-Axis Continuous Sweep Scanning Method for the Multi-Entrance Inwall Surface

Engineering, Mechanical Engineering, Information Science, Automation, Artificial Intelligence,
Five-axis scanning   Multi-entrance inwall surface   Geodesic Distance Field   Path planning   Surface partition   Interference-free   Continuous sweep scanning  

Five-Axis Continuous Sweep Scanning Method Based on Geodesic Distance Field for Multi-Entrance Inwall Surface Inspection Background Introduction In industrial applications, Multi-Entrance Inwall (MEI) surfaces pose significant challenges for precise inspection due to their complex topological structures and potential collision risks. Traditional po...

Distributed Intelligent Control Method Based on State Self-Learning and Its Application in Cascade Processes

Engineering, Information Science, Automation, Artificial Intelligence,
process industry   multi-reactor cascade process   state self-learning   collaborative prediction   autonomous control  

Research on Distributed Intelligent Control Method Based on State Self-Learning and Its Application in Cascade Processes Academic Background In the process industry, multi-reactor cascade operation is a distinctive characteristic. However, establishing an accurate and global model for multi-reactor cascade processes presents numerous challenges. Th...

Resource-Efficient Decentralized Sequential Planner for Spatiotemporal Wildfire Mitigation

Engineering, Aerospace Engineering, Information Science, Computer Science, Artificial Intelligence,
UAV   wildfire mitigation   decentralized planning   spatiotemporal tasks   resource optimization  

Efficient Decentralized Sequential Planner for Spatiotemporal Wildfire Mitigation Using Multiple UAVs Academic Background Wildfires pose a significant threat to global biodiversity and resource sustainability, especially in their early stages. If not controlled in time, wildfires can rapidly expand, leading to severe ecological damage. In recent ye...

Effective Probabilistic Neural Networks Model for Model-Based Reinforcement Learning in USV

Engineering, Information Science, Computer Science, Automation,
Probabilistic Neural Networks   Model Predictive Control   Unmanned Surface Vehicles   Reinforcement Learning   Uncertainty Propagation  

A New Approach to Model Predictive Control for Unmanned Surface Vehicles (USV): A Probabilistic Neural Network-Based MBRL Framework Academic Background Unmanned Surface Vehicles (USVs) have seen rapid development in recent years within the field of marine science, finding extensive applications in scenarios such as marine transportation, environmen...

A Restricted-Learning Network with Observation Credibility Inference for Few-Shot Degradation Modeling

Engineering, Mechanical Engineering, Information Science, Automation, Artificial Intelligence,
few-shot learning   degradation modeling   remaining useful life prediction   restricted-learning network   observation credibility inference   engineering systems   data-driven methods  

A Restricted-Learning Network with Observation Credibility Inference for Few-Shot Degradation Modeling Academic Background In complex engineering systems, multiple sensors are widely used to monitor the degradation processes of equipment and predict their Remaining Useful Life (RUL). However, ensuring predictive performance remains challenging when...