Gebruikersprofielen voor Yuqi Fu
Yuqi FuComputer Science, University of Virginia Geverifieerd e-mailadres voor virginia.edu Geciteerd door 221 |
Three-dimensional culture of MSCs produces exosomes with improved yield and enhanced therapeutic efficacy for cisplatin-induced acute kidney injury
…, L Lv, Z Ding, Z Li, R Hu, Q Wei, A Shen, Y Fu… - Stem cell research & …, 2020 - Springer
Background Exosomes derived from mesenchymal stem cells (MSC-exos) have been
demonstrated with great potential in the treatment of multiple human diseases including acute …
demonstrated with great potential in the treatment of multiple human diseases including acute …
Unravelling the complexity of lncRNAs in autophagy to improve potential cancer therapy
Y Wang, Y Fu, Y Lu, S Chen, J Zhang, B Liu… - Biochimica et Biophysica …, 2023 - Elsevier
Autophagy is well-known as an internal catabolic process that is evolutionarily conserved
and performs the key biological function in maintaining cellular homeostasis. It is tightly …
and performs the key biological function in maintaining cellular homeostasis. It is tightly …
Activating autophagy to eliminate toxic protein aggregates with small molecules in neurodegenerative diseases
Y Fu, J Zhang, R Qin, Y Ren, T Zhou, B Han… - Pharmacological …, 2025 - Elsevier
Neurodegenerative diseases (NDs), such as Alzheimer's disease (AD), Parkinson's disease
(PD), Huntington's disease (HD), amyotrophic lateral sclerosis (ALS), and frontotemporal …
(PD), Huntington's disease (HD), amyotrophic lateral sclerosis (ALS), and frontotemporal …
{SHADE}: Enable fundamental cacheability for distributed deep learning training
Deep learning training (DLT) applications exhibit unique I/O workload behaviors that pose
new challenges for storage system design. DLT is I/O intensive since data samples need to be …
new challenges for storage system design. DLT is I/O intensive since data samples need to be …
Progress-based container scheduling for short-lived applications in a kubernetes cluster
In the past decade, we have envisioned enormous growth in the data generated by different
sources, ranging from weather sensors and customer purchasing records to Internet of …
sources, ranging from weather sensors and customer purchasing records to Internet of …
The effects of specific gut microbiota and metabolites on IgA nephropathy—based on Mendelian randomization and clinical validation
F Wang, N Li, S Ni, Y Min, K Wei, H Sun, Y Fu, Y Liu… - Nutrients, 2023 - mdpi.com
Background: Although recent research suggests that alterations in gut microbiota and
metabolites play a critical role in the pathophysiology of immunoglobulin A nephropathy (IgAN), …
metabolites play a critical role in the pathophysiology of immunoglobulin A nephropathy (IgAN), …
Resource management schemes for cloud-native platforms with computing containers of docker and kubernetes
Businesses have made increasing adoption and incorporation of cloud technology into
internal processes in the last decade. The cloud-based deployment provides on-demand …
internal processes in the last decade. The cloud-based deployment provides on-demand …
[HTML][HTML] Rhein: An Updated Review Concerning Its Biological Activity, Pharmacokinetics, Structure Optimization, and Future Pharmaceutical Applications
Y Fu, L Yang, L Liu, L Kong, H Sun, Y Sun, F Yin… - Pharmaceuticals, 2024 - mdpi.com
Rhein is a natural active ingredient in traditional Chinese medicine that has attracted much
attention due to its wide range of pharmacological activities. However, its clinical application …
attention due to its wide range of pharmacological activities. However, its clinical application …
Domainrag: A chinese benchmark for evaluating domain-specific retrieval-augmented generation
Retrieval-Augmented Generation (RAG) offers a promising solution to address various limitations
of Large Language Models (LLMs), such as hallucination and difficulties in keeping up …
of Large Language Models (LLMs), such as hallucination and difficulties in keeping up …
Speculative container scheduling for deep learning applications in a kubernetes cluster
In the past decade, we have witnessed a dramatically increasing volume of data collected
from various sources. To maximize utilization, various machine and deep learning models …
from various sources. To maximize utilization, various machine and deep learning models …