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View article: An Investigative Study on Community Kid Zone Design Based on Embodied Cognition - Focusing on Urban Community Spaces in Xiamen -
An Investigative Study on Community Kid Zone Design Based on Embodied Cognition - Focusing on Urban Community Spaces in Xiamen - Open
View article: MemIntelli: A Generic End-to-End Simulation Framework for Memristive Intelligent Computing
MemIntelli: A Generic End-to-End Simulation Framework for Memristive Intelligent Computing Open
Memristive in-memory computing (IMC) has emerged as a promising solution for addressing the bottleneck in the Von Neumann architecture. However, the couplingbetweenthecircuitandalgorithm in IMC makes computing reliability susceptible to no…
View article: MemIntelli: A Generic End-to-End Simulation Framework for Memristive Intelligent Computing
MemIntelli: A Generic End-to-End Simulation Framework for Memristive Intelligent Computing Open
Memristive in-memory computing (IMC) has emerged as a promising solution for addressing the bottleneck in the Von Neumann architecture. However, the couplingbetweenthecircuitandalgorithm in IMC makes computing reliability susceptible to no…
View article: MemIntelli: A Generic End-to-End Simulation Framework for Memristive Intelligent Computing
MemIntelli: A Generic End-to-End Simulation Framework for Memristive Intelligent Computing Open
Memristive in-memory computing (IMC) has emerged as a promising solution for addressing the bottleneck in the Von Neumann architecture. However, the couplingbetweenthecircuitandalgorithm in IMC makes computing reliability susceptible to no…
View article: When Motion Learns to Listen: Diffusion-Prior Lyapunov Actor-Critic Framework with LLM Guidance for Stable and Robust AUV Control in Underwater Tasks
When Motion Learns to Listen: Diffusion-Prior Lyapunov Actor-Critic Framework with LLM Guidance for Stable and Robust AUV Control in Underwater Tasks Open
Autonomous Underwater Vehicles (AUVs) are indispensable for marine exploration; yet, their control is hindered by nonlinear hydrodynamics, time-varying disturbances, and localization uncertainty. Traditional controllers provide only limite…
View article: When Motion Learns to Listen: Diffusion-Prior Lyapunov Actor-Critic Framework with LLM Guidance for Stable and Robust AUV Control in Underwater Tasks
When Motion Learns to Listen: Diffusion-Prior Lyapunov Actor-Critic Framework with LLM Guidance for Stable and Robust AUV Control in Underwater Tasks Open
Autonomous Underwater Vehicles (AUVs) are indispensable for marine exploration; yet, their control is hindered by nonlinear hydrodynamics, time-varying disturbances, and localization uncertainty. Traditional controllers provide only limite…
View article: Quantum Jump Approach for Photosynthetic Energy Transfer with Chemical Reaction and Fluorescence Loss
Quantum Jump Approach for Photosynthetic Energy Transfer with Chemical Reaction and Fluorescence Loss Open
Recently, the coherent modified Redfield theory (CMRT) has been widely used to simulate the excitation-energy-transfer (EET) processes in photosynthetic systems. However, the numerical simulation of the CMRT is computationally expensive wh…
View article: GlycoRNA research: from unknown unknowns to known unknowns
GlycoRNA research: from unknown unknowns to known unknowns Open
Recent discoveries have revealed the existence of glycosylated RNAs (glycoRNA), in which glycans are covalently linked to small non‑coding RNAs and are predominantly localized to the cell surface. Since the initial discovery in 2021, glyco…
View article: GlycoRNA research: from unknown unknowns to known unknowns
GlycoRNA research: from unknown unknowns to known unknowns Open
Recent discoveries have revealed the existence of glycosylated RNAs (glycoRNA), in which glycans are covalently linked to small non‑coding RNAs and are predominantly localized to the cell surface. Since the initial discovery in 2021, glyco…
View article: Multiphase transport and compositional mixing mechanisms in twin-wire laser directed energy deposition: toward process stability and graded material fabrication
Multiphase transport and compositional mixing mechanisms in twin-wire laser directed energy deposition: toward process stability and graded material fabrication Open
Twin-wire laser directed energy deposition (TW-LDED) provides a promising route for alloying and fabrication of compositionally graded structures. However, inherent multiparameter coupling in twin-wire systems critically exacerbates both p…
View article: Multiphase transport and compositional mixing mechanisms in twin-wire laser directed energy deposition: toward process stability and graded material fabrication
Multiphase transport and compositional mixing mechanisms in twin-wire laser directed energy deposition: toward process stability and graded material fabrication Open
Twin-wire laser directed energy deposition (TW-LDED) provides a promising route for alloying and fabrication of compositionally graded structures. However, inherent multiparameter coupling in twin-wire systems critically exacerbates both p…
View article: Multiphase transport and compositional mixing mechanisms in twin-wire laser directed energy deposition: toward process stability and graded material fabrication
Multiphase transport and compositional mixing mechanisms in twin-wire laser directed energy deposition: toward process stability and graded material fabrication Open
Twin-wire laser directed energy deposition (TW-LDED) provides a promising route for alloying and fabrication of compositionally graded structures. However, inherent multiparameter coupling in twin-wire systems critically exacerbates both p…
View article: Investigating the Causal relationships between Brain Imaging Phenotypes and Dementia and Its Subtypes: Comprehensive Analysis of Structural and Resting-State Functional Imaging
Investigating the Causal relationships between Brain Imaging Phenotypes and Dementia and Its Subtypes: Comprehensive Analysis of Structural and Resting-State Functional Imaging Open
This repository contains the supplementary materials for the manuscript " Investigating the Causal relationships between Brain Imaging Phenotypes and Dementia and Its Subtypes: Comprehensive Analysis of Structural and R…
View article: Robust and Efficient Communication in Multi-Agent Reinforcement Learning
Robust and Efficient Communication in Multi-Agent Reinforcement Learning Open
Multi-agent reinforcement learning (MARL) has made significant strides in enabling coordinated behaviors among autonomous agents. However, most existing approaches assume that communication is instantaneous, reliable, and has unlimited ban…
View article: Robust and Efficient Communication in Multi-Agent Reinforcement Learning
Robust and Efficient Communication in Multi-Agent Reinforcement Learning Open
Multi-agent reinforcement learning (MARL) has made significant strides in enabling coordinated behaviors among autonomous agents. However, most existing approaches assume that communication is instantaneous, reliable, and has unlimited ban…
View article: Machine learning-based identification of core regulatory genes in hepatocellular carcinoma: insights from lactylation modification and liver regeneration-related genes
Machine learning-based identification of core regulatory genes in hepatocellular carcinoma: insights from lactylation modification and liver regeneration-related genes Open
Introduction Hepatocellular carcinoma (HCC) progression shares metabolic-epigenetic features with physiological liver regeneration, yet the regulatory interplay remains poorly defined. We hypothesize that lactylation, a novel post-translat…
View article: Robust and Efficient Communication in Multi-Agent Reinforcement Learning
Robust and Efficient Communication in Multi-Agent Reinforcement Learning Open
Multi-agent reinforcement learning (MARL) has made significant strides in enabling coordinated behaviors among autonomous agents. However, most existing approaches assume that communication is instantaneous, reliable, and has unlimited ban…
View article: Investigating the Causal relationships between Brain Imaging Phenotypes and Dementia and Its Subtypes: Comprehensive Analysis of Structural and Resting-State Functional Imaging
Investigating the Causal relationships between Brain Imaging Phenotypes and Dementia and Its Subtypes: Comprehensive Analysis of Structural and Resting-State Functional Imaging Open
This repository contains the supplementary materials for the manuscript " Investigating the Causal relationships between Brain Imaging Phenotypes and Dementia and Its Subtypes: Comprehensive Analysis of Structural and Resting-State Functio…
View article: Machine learning-based identification of core regulatory genes in hepatocellular carcinoma: insights from lactylation modification and liver regeneration-related genes
Machine learning-based identification of core regulatory genes in hepatocellular carcinoma: insights from lactylation modification and liver regeneration-related genes Open
Introduction Hepatocellular carcinoma (HCC) progression shares metabolic-epigenetic features with physiological liver regeneration, yet the regulatory interplay remains poorly defined. We hypothesize that lactylation, a novel post-translat…
View article: GPR: Towards a Generative Pre-trained One-Model Paradigm for Large-Scale Advertising Recommendation
GPR: Towards a Generative Pre-trained One-Model Paradigm for Large-Scale Advertising Recommendation Open
As an intelligent infrastructure connecting users with commercial content, advertising recommendation systems play a central role in information flow and value creation within the digital economy. However, existing multi-stage advertising …
View article: GPR: Towards a Generative Pre-trained One-Model Paradigm for Large-Scale Advertising Recommendation
GPR: Towards a Generative Pre-trained One-Model Paradigm for Large-Scale Advertising Recommendation Open
As an intelligent infrastructure connecting users with commercial content, advertising recommendation systems play a central role in information flow and value creation within the digital economy. However, existing multi-stage advertising …
View article: Enhancing C2 pedicle screw placement in Hangman’s fractures: a comparative study of navigation and 3D printed guidance techniques
Enhancing C2 pedicle screw placement in Hangman’s fractures: a comparative study of navigation and 3D printed guidance techniques Open
Objective This retrospective study aimed to analyze the accuracy and safety of pedicle screw placement in upper cervical spine surgery for Hangman's fractures, particularly in cases with high-riding vertebral artery (HRVA) at C2, using nav…
View article: Enhancing C2 pedicle screw placement in Hangman’s fractures: a comparative study of navigation and 3D printed guidance techniques
Enhancing C2 pedicle screw placement in Hangman’s fractures: a comparative study of navigation and 3D printed guidance techniques Open
Objective This retrospective study aimed to analyze the accuracy and safety of pedicle screw placement in upper cervical spine surgery for Hangman's fractures, particularly in cases with high-riding vertebral artery (HRVA) at C2, using nav…
View article: GPR: Towards a Generative Pre-trained One-Model Paradigm for Large-Scale Advertising Recommendation
GPR: Towards a Generative Pre-trained One-Model Paradigm for Large-Scale Advertising Recommendation Open
As an intelligent infrastructure connecting users with commercial content, advertising recommendation systems play a central role in information flow and value creation within the digital economy. However, existing multi-stage advertising …
View article: Scaling behavioral incentives for low-carbon mobility through digital platforms
Scaling behavioral incentives for low-carbon mobility through digital platforms Open
Meeting global carbon reduction targets requires large-scale behavioral shifts in everyday travel. Yet, real-world evidence on how to motivate such large-scale behavioral change remains scarce. We evaluate a carbon incentive program embedd…
View article: Scaling behavioral incentives for low-carbon mobility through digital platforms
Scaling behavioral incentives for low-carbon mobility through digital platforms Open
Meeting global carbon reduction targets requires large-scale behavioral shifts in everyday travel. Yet, real-world evidence on how to motivate such large-scale behavioral change remains scarce. We evaluate a carbon incentive program embedd…
View article: Scaling behavioral incentives for low-carbon mobility through digital platforms
Scaling behavioral incentives for low-carbon mobility through digital platforms Open
Meeting global carbon reduction targets requires large-scale behavioral shifts in everyday travel. Yet, real-world evidence on how to motivate such large-scale behavioral change remains scarce. We evaluate a carbon incentive program embedd…
View article: Doubly Debiased Test-Time Prompt Tuning for Vision-Language Models
Doubly Debiased Test-Time Prompt Tuning for Vision-Language Models Open
Test-time prompt tuning for vision-language models has demonstrated impressive generalization capabilities under zero-shot settings. However, tuning the learnable prompts solely based on unlabeled test data may induce prompt optimization b…
View article: Doubly Debiased Test-Time Prompt Tuning for Vision-Language Models
Doubly Debiased Test-Time Prompt Tuning for Vision-Language Models Open
Test-time prompt tuning for vision-language models has demonstrated impressive generalization capabilities under zero-shot settings. However, tuning the learnable prompts solely based on unlabeled test data may induce prompt optimization b…
View article: Doubly Debiased Test-Time Prompt Tuning for Vision-Language Models
Doubly Debiased Test-Time Prompt Tuning for Vision-Language Models Open
Test-time prompt tuning for vision-language models has demonstrated impressive generalization capabilities under zero-shot settings. However, tuning the learnable prompts solely based on unlabeled test data may induce prompt optimization b…