Shigang Yue
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View article: Wedelia trilobata-derived biochar mitigates chromium toxicity and improves physiological performance in hydroponically grown Chinese cabbage
Wedelia trilobata-derived biochar mitigates chromium toxicity and improves physiological performance in hydroponically grown Chinese cabbage Open
Introduction Ensuring future agricultural sustainability requires innovative solutions to alleviate abiotic stress caused by heavy metal(loid) contamination. Chromium (Cr) toxicity is a major abiotic stressor that threatens leafy vegetable…
View article: Comparative Removal of Hexavalent Chromium from Aqueous Solution Using Plant-Derived and Industrial Zirconia Nanoparticles
Comparative Removal of Hexavalent Chromium from Aqueous Solution Using Plant-Derived and Industrial Zirconia Nanoparticles Open
This study presents a plant-fabricated nanoparticle system of zirconia (ZrO2) using Sonchus asper plant extract, compared with conventionally synthesized ZrO2, for their efficacy in Cr(VI) removal from aqueous solutions. The nanoparticles …
View article: 260. INSULIN-LIKE GROWTH FACTOR 1 IN THE BRAIN AND ADDICTION --- THE VULNERABLE PREFRONTAL CORTEX IN OPIOID USE DISORDER
260. INSULIN-LIKE GROWTH FACTOR 1 IN THE BRAIN AND ADDICTION --- THE VULNERABLE PREFRONTAL CORTEX IN OPIOID USE DISORDER Open
Background Opioid use disorder (OUD) is a debilitating psychiatric disease that affects millions of people in the United States. OUD exhibits a high relapse rate despite current treatment efforts. Opioid induces chronic structural and func…
View article: Assessment of biochar filter application in improving chromium stress tolerance and plant physiology in Chinese cabbage (Brassica rapa) under a flow-through water setup
Assessment of biochar filter application in improving chromium stress tolerance and plant physiology in Chinese cabbage (Brassica rapa) under a flow-through water setup Open
View article: Biochar-amended nutrient film technique flow system effectively alleviated chromium stress in guar (Cyamopsis tetragonoloba) plants
Biochar-amended nutrient film technique flow system effectively alleviated chromium stress in guar (Cyamopsis tetragonoloba) plants Open
View article: Eco-Friendly Synthesis of Zirconia Nanoparticles Using Sonchus asper Extract: A Sustainable Approach to Enhancing Chinese Cabbage Growth and Remediating Chromium-Contaminated Soil
Eco-Friendly Synthesis of Zirconia Nanoparticles Using Sonchus asper Extract: A Sustainable Approach to Enhancing Chinese Cabbage Growth and Remediating Chromium-Contaminated Soil Open
Chromium (Cr) contamination poses severe risks to plant health and soil quality, requiring sustainable remediation methods. This study explored the synthesis of zirconia nanoparticles (PF-ZrO2 NPs) from Sonchus asper extract and assessed t…
View article: Deep Feature-Based Hyperspectral Object Tracking: An Experimental Survey and Outlook
Deep Feature-Based Hyperspectral Object Tracking: An Experimental Survey and Outlook Open
With the rapid advancement of hyperspectral imaging technology, hyperspectral object tracking (HOT) has become a research hotspot in the field of remote sensing. Advanced HOT methods have been continuously proposed and validated on scarce …
View article: STMDNet: A Lightweight Directional Framework for Motion Pattern Recognition of Tiny Targets
STMDNet: A Lightweight Directional Framework for Motion Pattern Recognition of Tiny Targets Open
Recognizing motions of tiny targets - only few dozen pixels - in cluttered backgrounds remains a fundamental challenge when standard feature-based or deep learning methods fail under scarce visual cues. We propose STMDNet, a model-based co…
View article: A Bio-Inspired Research Paradigm of Collision Perception Neurons Enabling Neuro-Robotic Integration: The LGMD Case
A Bio-Inspired Research Paradigm of Collision Perception Neurons Enabling Neuro-Robotic Integration: The LGMD Case Open
Compared to human vision, locust visual systems excel at rapid and precise collision detection, despite relying on only hundreds of thousands of neurons organized through a few neuropils. This efficiency makes them an attractive model syst…
View article: I2Bot: an open-source tool for multi-modal and embodied simulation of insect navigation
I2Bot: an open-source tool for multi-modal and embodied simulation of insect navigation Open
Achieving a comprehensive understanding of animal intelligence demands an integrative approach that acknowledges the interplay between an organism’s brain, body and environment. Insects, despite their limited computational resources, demon…
View article: I2Bot: an open-source tool for multi-modal and embodied simulation of insect navigation
I2Bot: an open-source tool for multi-modal and embodied simulation of insect navigation Open
Achieving a comprehensive understanding of animal intelligence demands an integrative approach that acknowledges the interplay between an organism’s brain, body, and environment. Insects like ants, despite their limited computational resou…
View article: Editorial: Swarm neuro-robots with the bio-inspired environmental perception
Editorial: Swarm neuro-robots with the bio-inspired environmental perception Open
From disaster zone exploration to environmental monitoring, robots capable of navigating complex and unpredictable environments are in high demand. Inspired by the efficiency of insect swarms, the field of neuro-robotics has seen breakthro…
View article: Re-framing bio-plausible collision detection: identifying shared meta-properties through strategic prototyping
Re-framing bio-plausible collision detection: identifying shared meta-properties through strategic prototyping Open
Insects exhibit remarkable abilities in navigating complex natural environments, whether it be evading predators, capturing prey, or seeking out con-specifics, all of which rely on their compact yet reliable neural systems. We explore the …
View article: An Angular Acceleration Based Looming Detector for Moving UAVs
An Angular Acceleration Based Looming Detector for Moving UAVs Open
Visual perception equips unmanned aerial vehicles (UAVs) with increasingly comprehensive and instant environmental perception, rendering it a crucial technology in intelligent UAV obstacle avoidance. However, the rapid movements of UAVs ca…
View article: Translating Virtual Prey-Predator Interaction to Real-World Robotic Environments: Enabling Multimodal Sensing and Evolutionary Dynamics
Translating Virtual Prey-Predator Interaction to Real-World Robotic Environments: Enabling Multimodal Sensing and Evolutionary Dynamics Open
Prey-predator interactions play a pivotal role in elucidating the evolution and adaptation of various organism’s traits. Numerous approaches have been employed to study the dynamics of prey-predator interaction systems, with agent-based me…
View article: An insect-inspired model facilitating autonomous navigation by incorporating goal approaching and collision avoidance
An insect-inspired model facilitating autonomous navigation by incorporating goal approaching and collision avoidance Open
Being one of the most fundamental and crucial capacity of robots and animals, autonomous navigation that consists of goal approaching and collision avoidance enables completion of various tasks while traversing different environments. In l…
View article: A Fast Hyperspectral Tracking Method via Channel Selection
A Fast Hyperspectral Tracking Method via Channel Selection Open
With the rapid development of hyperspectral imaging technology, object tracking in hyperspectral video has become a research hotspot. Real-time object tracking for hyperspectral video is a great challenge. We propose a fast hyperspectral o…
View article: OppLoD: the Opponency based Looming Detector, Model Extension of Looming Sensitivity from LGMD to LPLC2
OppLoD: the Opponency based Looming Detector, Model Extension of Looming Sensitivity from LGMD to LPLC2 Open
Looming detection plays an important role in insect collision prevention systems. As a vital capability evolutionary survival, it has been extensively studied in neuroscience and is attracting increasing research interest in robotics due t…
View article: An Opponent Colour LGMD Neural Network for Collision Detection at Night with Thermal Camera
An Opponent Colour LGMD Neural Network for Collision Detection at Night with Thermal Camera Open
View article: Spatio-Temporal Feedback Control of Small Target Motion Detection Visual System
Spatio-Temporal Feedback Control of Small Target Motion Detection Visual System Open
Feedback is crucial to motion perception in animals' visual systems where its spatial and temporal dynamics are often shaped by movement patterns of surrounding environments. However, such spatio-temporal feedback has not been deeply explo…
View article: Survey on Modeling Method of Spatial Cooperative Behavior of Swarm Robots
Survey on Modeling Method of Spatial Cooperative Behavior of Swarm Robots Open
Swarm robots are composed of a certain number of physical robots. Through interaction and cooperation, individuals in this kind of system can sprout robust, scalable and flexible swarm intelligence behavior. Behavior modeling of swarm robo…
View article: Temperature-based Collision Detection in Extreme Low Light Condition with Bio-inspired LGMD Neural Network
Temperature-based Collision Detection in Extreme Low Light Condition with Bio-inspired LGMD Neural Network Open
It is an enormous challenge for intelligent vehicles to avoid collision accidents at night because of the extremely poor light conditions. Thermal cameras can capture temperature map at night, even with no light sources and are ideal for c…
View article: A Looming Spatial Localization Neural Network Inspired by MLG1 Neurons in the Crab Neohelice
A Looming Spatial Localization Neural Network Inspired by MLG1 Neurons in the Crab Neohelice Open
Similar to most visual animals, the crab Neohelice granulata relies predominantly on visual information to escape from predators, to track prey and for selecting mates. It, therefore, needs specialized neurons to process visual information…
View article: How the insect central complex could coordinate multimodal navigation
How the insect central complex could coordinate multimodal navigation Open
The central complex of the insect midbrain is thought to coordinate insect guidance strategies. Computational models can account for specific behaviours, but their applicability across sensory and task domains remains untested. Here, we as…
View article: Author response: How the insect central complex could coordinate multimodal navigation
Author response: How the insect central complex could coordinate multimodal navigation Open
View article: A Time-Delay Feedback Neural Network for Discriminating Small, Fast-Moving Targets in Complex Dynamic Environments
A Time-Delay Feedback Neural Network for Discriminating Small, Fast-Moving Targets in Complex Dynamic Environments Open
Discriminating small moving objects within complex visual environments is a significant challenge for autonomous micro robots that are generally limited in computational power. By exploiting their highly evolved visual systems, flying inse…
View article: How the insect central complex could coordinate multimodal navigation
How the insect central complex could coordinate multimodal navigation Open
The central complex of the insect midbrain is thought to coordinate insect guidance strategies. Computational models can account for specific behaviours but their applicability across sensory and task domains remains untested. Here we asse…
View article: DVM-CAR: A large-scale automotive dataset for visual marketing research and applications
DVM-CAR: A large-scale automotive dataset for visual marketing research and applications Open
There is a growing interest in product aesthetics analytics and design. However, the lack of available large-scale data that covers various variables and information is one of the biggest challenges faced by analysts and researchers. In th…
View article: Robustness of Bio-Inspired Visual Systems for Collision Prediction in Critical Robot Traffic
Robustness of Bio-Inspired Visual Systems for Collision Prediction in Critical Robot Traffic Open
Collision prevention sets a major research and development obstacle for intelligent robots and vehicles. This paper investigates the robustness of two state-of-the-art neural network models inspired by the locust’s LGMD-1 and LGMD-2 visual…
View article: Investigating Refractoriness in Collision Perception Neuronal Model
Investigating Refractoriness in Collision Perception Neuronal Model Open
Currently, collision detection methods based on visual cues are still challenged by several factors including ultrafast approaching velocity and noisy signal. Taking inspiration from nature, though the computational models of lobula giant
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