Xiaoxin He
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View article: Long-term exercise enhances meningeal lymphatic vessel plasticity and drainage in a mouse model of Alzheimer's disease
Long-term exercise enhances meningeal lymphatic vessel plasticity and drainage in a mouse model of Alzheimer's disease Open
View article: Long-term exercise enhances meningeal lymphatic vessel plasticity and drainage in a mouse model of Alzheimer's disease
Long-term exercise enhances meningeal lymphatic vessel plasticity and drainage in a mouse model of Alzheimer's disease Open
Background Meningeal lymphatic drainage is crucial for the clearance of amyloid β (Aβ), supporting the maintenance of brain homeostasis. This makes it a promising therapeutic target for Alzheimer's disease (AD). Long-term exercise can redu…
View article: Macrophage <scp>A2aR</scp> Alleviates <scp>LPS</scp>‐Induced Vascular Endothelial Injury and Inflammation via Inhibiting <scp>M1</scp> Polarisation and Oxidative Stress
Macrophage <span>A2aR</span> Alleviates <span>LPS</span>‐Induced Vascular Endothelial Injury and Inflammation via Inhibiting <span>M1</span> Polarisation and Oxidative Stress Open
Vascular inflammation and endothelial dysfunction secondary to unchecked activation of endothelium are key mechanisms underlying sepsis and organ failure. However, the intrinsic processes that mitigate excessive endothelial cell activation…
View article: Study on the use of black phosphorus quantum dots in the treatment of atherosclerosis
Study on the use of black phosphorus quantum dots in the treatment of atherosclerosis Open
Atherosclerosis is the pathological basis of cardiovascular disease, and there are no clinical drugs that can safely and efficiently remove atherosclerotic plaques. In this study, black phosphorus quantum dots (BPQDs) were applied to the t…
View article: UniGraph2: Learning a Unified Embedding Space to Bind Multimodal Graphs
UniGraph2: Learning a Unified Embedding Space to Bind Multimodal Graphs Open
Existing foundation models, such as CLIP, aim to learn a unified embedding space for multimodal data, enabling a wide range of downstream web-based applications like search, recommendation, and content classification. However, these models…
View article: Aerobic exercise improves astrocyte mitochondrial quality and transfer to neurons in a mouse model of Alzheimer's disease
Aerobic exercise improves astrocyte mitochondrial quality and transfer to neurons in a mouse model of Alzheimer's disease Open
Mitochondrial dysfunction is a well‐established hallmark of Alzheimer's disease (AD). Despite recent documentation of transcellular mitochondrial transfer, its role in the pathogenesis of AD remains unclear. In this study, we report an imp…
View article: Towards LifeSpan Cognitive Systems
Towards LifeSpan Cognitive Systems Open
Building a human-like system that continuously interacts with complex environments -- whether simulated digital worlds or human society -- presents several key challenges. Central to this is enabling continuous, high-frequency interactions…
View article: Can we Soft Prompt LLMs for Graph Learning Tasks?
Can we Soft Prompt LLMs for Graph Learning Tasks? Open
Graph plays an important role in representing complex relationships in\nreal-world applications such as social networks, biological data and citation\nnetworks. In recent years, Large Language Models (LLMs) have achieved\ntremendous succes…
View article: G-Retriever: Retrieval-Augmented Generation for Textual Graph Understanding and Question Answering
G-Retriever: Retrieval-Augmented Generation for Textual Graph Understanding and Question Answering Open
Given a graph with textual attributes, we enable users to `chat with their graph': that is, to ask questions about the graph using a conversational interface. In response to a user's questions, our method provides textual replies and highl…
View article: Functional aspects of the brain lymphatic drainage system in aging and neurodegenerative diseases
Functional aspects of the brain lymphatic drainage system in aging and neurodegenerative diseases Open
The phenomenon of an aging population is advancing at a precipitous rate. Alzheimer's disease (AD) and Parkinson's disease (PD) are two of the most common age-associated neurodegenerative diseases, both of which are primarily characterized…
View article: Harnessing Explanations: LLM-to-LM Interpreter for Enhanced Text-Attributed Graph Representation Learning
Harnessing Explanations: LLM-to-LM Interpreter for Enhanced Text-Attributed Graph Representation Learning Open
Representation learning on text-attributed graphs (TAGs) has become a critical research problem in recent years. A typical example of a TAG is a paper citation graph, where the text of each paper serves as node attributes. Initial graph ne…
View article: A Generalization of ViT/MLP-Mixer to Graphs
A Generalization of ViT/MLP-Mixer to Graphs Open
Graph Neural Networks (GNNs) have shown great potential in the field of graph representation learning. Standard GNNs define a local message-passing mechanism which propagates information over the whole graph domain by stacking multiple lay…
View article: Transmission of multidrug-resistant tuberculosis in Beijing, China: An epidemiological and genomic analysis
Transmission of multidrug-resistant tuberculosis in Beijing, China: An epidemiological and genomic analysis Open
Background Understanding multidrug-resistant tuberculosis (MDR-TB) transmission patterns is crucial for controlling the disease. We aimed to identify high-risk populations and geographic settings of MDR-TB transmission. Methods We conducte…
View article: A Study on Transformer Configuration and Training Objective
A Study on Transformer Configuration and Training Objective Open
Transformer-based models have delivered impressive results on many tasks, particularly vision and language tasks. In many model training situations, conventional configurations are typically adopted. For example, we often set the base mode…
View article: One Student Knows All Experts Know: From Sparse to Dense
One Student Knows All Experts Know: From Sparse to Dense Open
Human education system trains one student by multiple experts. Mixture-of-experts (MoE) is a powerful sparse architecture including multiple experts. However, sparse MoE model is easy to overfit, hard to deploy, and not hardware-friendly f…
View article: Locomotor Hyperactivity in the Early-Stage Alzheimer’s Disease-like Pathology of APP/PS1 Mice: Associated with Impaired Polarization of Astrocyte Aquaporin 4
Locomotor Hyperactivity in the Early-Stage Alzheimer’s Disease-like Pathology of APP/PS1 Mice: Associated with Impaired Polarization of Astrocyte Aquaporin 4 Open
Non-cognitive behavioral and psychological symptoms often occur in Alzheimer's disease (AD) patients and mouse models, although the exact neuropathological mechanism remains elusive. Here, we report hyperactivity with significant inter-ind…
View article: Sonodynamic therapy for breast cancer: A literature review
Sonodynamic therapy for breast cancer: A literature review Open
Breast cancer (BC) is a malignant tumor with the highest incidence among women. Surgery, radiotherapy, and chemotherapy are currently used as the first-line methods for treating BC. Sonodynamic therapy (SDT) in combination with sonosensiti…
View article: Large-Scale Deep Learning Optimizations: A Comprehensive Survey
Large-Scale Deep Learning Optimizations: A Comprehensive Survey Open
Deep learning have achieved promising results on a wide spectrum of AI applications. Larger datasets and models consistently yield better performance. However, we generally spend longer training time on more computation and communication. …
View article: Affective and Cognitive Empathy in Pre-teachers With Strong or Weak Professional Identity: An ERP Study
Affective and Cognitive Empathy in Pre-teachers With Strong or Weak Professional Identity: An ERP Study Open
Pain empathy is influenced by a number of factors. However, few studies have examined the effects of strength of professional identity on pain empathy in pre-service teachers. This study used the event-related potential (ERP) technique, wh…