Hong Chen
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View article: Ensemble machine learning for predicting renal function decline in chronic kidney disease: development and external validation
Ensemble machine learning for predicting renal function decline in chronic kidney disease: development and external validation Open
Introduction Chronic kidney disease (CKD) poses a significant global health challenge, requiring timely interventions to manage renal function decline. Traditional predictive models often lack accuracy and generalizability. This study aime…
View article: MIL Series in MOFs for the Removal of Emerging Contaminants: Application and Mechanisms
MIL Series in MOFs for the Removal of Emerging Contaminants: Application and Mechanisms Open
In global economic integration and rapid urbanization, the equilibrium between resource utilization efficiency and ecological preservation is confronted with significant challenges. Emerging contaminants have further exacerbated environmen…
View article: Effects of different irrigation methods on the spatial and temporal distribution of soil temperature
Effects of different irrigation methods on the spatial and temporal distribution of soil temperature Open
Drip irrigation delivers water uniformly and precisely to the root zone, thereby influencing the soil hydrothermal regime of the soil. While this characteristic makes drip irrigation a promising water-saving technique, there are limited lo…
View article: Adaptability and Stability of Proso Millet Grain Yield: A Multi-Environment Evaluation Using AMMI, GGE, and GYT Biplots
Adaptability and Stability of Proso Millet Grain Yield: A Multi-Environment Evaluation Using AMMI, GGE, and GYT Biplots Open
A pivotal food crop in arid and semi-arid zones, proso millet boasts remarkable economic value, making the breeding of stable high-yield varieties critical for industrial sustainability. This study employed a randomized complete block desi…
View article: Non-Hermitian chains with iso-spectral modulation for customized wireless power transfer
Non-Hermitian chains with iso-spectral modulation for customized wireless power transfer Open
Magnetic resonance wireless power transfer (WPT) has emerged as a pivotal technology for near-field electromagnetic manipulation, enabling wire-free energy delivery across diverse applications ranging from consumer electronics and implanta…
View article: Topological Singularities and Edge‐State Coupling Enable Robust on‐Chip Slow Light
Topological Singularities and Edge‐State Coupling Enable Robust on‐Chip Slow Light Open
Quantum interference (QI) between multiple excitation pathways can manipulate high‐quality optical responses, like slow light, highly‐sensitive sensors, and ultrafast switches. However, the enhanced light‐matter interactions and reduced gr…
View article: The difference in cultivated land soil quality: a comparison between the north and south sides of the Tianshan Mountains
The difference in cultivated land soil quality: a comparison between the north and south sides of the Tianshan Mountains Open
There are significant regional disparities between the northern and southern sides of the Tianshan Mountains, which the cultivated land soil quality shows different characteristics. In order to further understand the soil quality differenc…
View article: Research on Strengthening the Leadership of Network Public Opinion Control and Countermeasures
Research on Strengthening the Leadership of Network Public Opinion Control and Countermeasures Open
Emergencies in colleges and universities are prone to form public opinion hotspots, and its ability to control public in emergencies directly affects campus stability and social harmony. In view of the current situation that the spread of …
View article: Co-MTP: A Cooperative Trajectory Prediction Framework with Multi-Temporal Fusion for Autonomous Driving
Co-MTP: A Cooperative Trajectory Prediction Framework with Multi-Temporal Fusion for Autonomous Driving Open
Vehicle-to-everything technologies (V2X) have become an ideal paradigm to extend the perception range and see through the occlusion. Exiting efforts focus on single-frame cooperative perception, however, how to capture the temporal cue bet…
View article: Large-area topological wireless power transfer
Large-area topological wireless power transfer Open
Topological wireless power transfer (WPT) technologies have attracted considerable interest due to their high transmission efficiency and robustness in coupled array configurations. However, conventional periodic and quasi-periodic topolog…
View article: Knockoffs Inference for Partially Linear Models with Automatic Structure Discovery
Knockoffs Inference for Partially Linear Models with Automatic Structure Discovery Open
Partially linear models (PLM) have attracted much attention in the field of statistical machine learning. Specially, the ability of variable selection of PLM has been studied extensively due to the high requirement of model interpretabilit…
View article: STM32-based intelligent following trolley
STM32-based intelligent following trolley Open
In this paper, we design a kind of cart that uses ultrasonic module to realize automatic target following, which can realize high-precision target following. Existing following methods have distance and hardware limitations, this paper use…
View article: Co-MTP: A Cooperative Trajectory Prediction Framework with Multi-Temporal Fusion for Autonomous Driving
Co-MTP: A Cooperative Trajectory Prediction Framework with Multi-Temporal Fusion for Autonomous Driving Open
Vehicle-to-everything technologies (V2X) have become an ideal paradigm to extend the perception range and see through the occlusion. Exiting efforts focus on single-frame cooperative perception, however, how to capture the temporal cue bet…
View article: Quantitative Representation of Autonomous Driving Scenario Difficulty Based on Adversarial Policy Search
Quantitative Representation of Autonomous Driving Scenario Difficulty Based on Adversarial Policy Search Open
Autonomous vehicles with self-evolution capabilities are expected to improve their performance through learning algorithms, to automatically adapt to the external environment. However, due to the infinity, complexity, and variability of th…
View article: A Safe Self-evolution Algorithm for Autonomous Driving Based on Data-Driven Risk Quantification Model
A Safe Self-evolution Algorithm for Autonomous Driving Based on Data-Driven Risk Quantification Model Open
Autonomous driving systems with self-evolution capabilities have the potential to independently evolve in complex and open environments, allowing to handle more unknown scenarios. However, as a result of the safety-performance trade-off me…
View article: A Safe and Efficient Self-evolving Algorithm for Decision-making and Control of Autonomous Driving Systems
A Safe and Efficient Self-evolving Algorithm for Decision-making and Control of Autonomous Driving Systems Open
Autonomous vehicles with a self-evolving ability are expected to cope with unknown scenarios in the real-world environment. Take advantage of trial and error mechanism, reinforcement learning is able to self evolve by learning the optimal …
View article: A Safety-Oriented Self-Learning Algorithm for Autonomous Driving: Evolution Starting from a Basic Model
A Safety-Oriented Self-Learning Algorithm for Autonomous Driving: Evolution Starting from a Basic Model Open
Autonomous driving vehicles with self-learning capabilities are expected to evolve in complex environments to improve their ability to cope with different scenarios. However, most self-learning algorithms suffer from low learning efficienc…