A5102958138- Calcium signaling and nucleotide metabolism
- Image and Signal Denoising Methods
- Advanced Vision and Imaging
- Advanced Memory and Neural Computing
- Blockchain Technology Applications and Security
- Advanced Image Processing Techniques
- Advanced Algorithms and Applications
- Image Enhancement Techniques
- Impact of AI and Big Data on Business and Society
- Advanced Technologies in Various Fields
- Hydraulic and Pneumatic Systems
- Computer Graphics and Visualization Techniques
- Generative Adversarial Networks and Image Synthesis
- Ion Channels and Receptors
- Caching and Content Delivery
- Nanoplatforms for cancer theranostics
- Advanced biosensing and bioanalysis techniques
- Fault Detection and Control Systems
- Conducting polymers and applications
- Advanced Data Compression Techniques
- Sirtuins and Resveratrol in Medicine
- Cloud Data Security Solutions
- Photoacoustic and Ultrasonic Imaging
- Advanced Nanomaterials in Catalysis
University of Notre Dame
2024
Macao Polytechnic University
2023
Bengbu Medical College
2023
Sinosteel (China)
2021
University of Michigan
2019-2020
A lysosome activator ameliorates muscular dystrophies.
Implicit neural representation (INR) has emerged as a promising solution for encoding volumetric data, offering continuous representations and seamless compatibility with the volume rendering pipeline. However, optimizing an INR network from randomly initialized parameters each new is computationally inefficient, especially large-scale time-varying or ensemble datasets where volumes share similar structural patterns but require independent training. To close this gap, we propose Meta-INR,...
Mammalian two-pore-channels (TPC1, 2; TPCN1, TPCN2) are ubiquitously- expressed, PI(3,5)P2-activated, Na+-selective channels in the endosomes and lysosomes that regulate luminal pH homeostasis, membrane trafficking, Ebola viral infection. Whereas channel activity of TPC1 is strongly dependent on voltage, TPC2 lacks such voltage dependence despite presence presumed 'S4 voltage-sensing' domains. By performing high-throughput screening followed by lysosomal electrophysiology, here we identified...
As a key mechanism to alleviate the financing difficulties of small and medium-sized enterprises, supply chain finance has an important impact on corporate growth stability. However, traditional model faces transparency trust issues due insufficient information sharing. The development blockchain technology provides new solutions these problems, especially in terms improving sharing efficiency, enhancing security. Therefore, this article explores application compatibility by building...
Due to its conceptual simplicity and generality, compressive neural representation has emerged as a promising alternative traditional compression methods for managing massive volumetric datasets. The current practice of utilizes single large multilayer perceptron (MLP) encode the global volume, incurring slow training inference. This paper presents an efficient (ECNR) solution time-varying data compression, utilizing Laplacian pyramid adaptive signal fitting. Following multiscale structure,...
In volume visualization, visualization synthesis has attracted much attention due to its ability generate novel visualizations without following the conventional rendering pipeline. However, existing solutions based on generative adversarial networks often require many training images and take significant time. Still, issues such as low quality, consistency, flexibility persist. This paper introduces StyleRF-VolVis, an innovative style transfer framework for expressive (VolVis) via neural...
In view of the manipulator system is a highly coupled, nonlinear dynamic characteristics and structure parameters , such as there are many unpredictable factors in practical work multiple input output system, designed fuzzy neural network controller, combined with particle swarm optimization algorithm for controller parameter setting. Through MATLAB simulation, it proved that scheme has strong robustness stability control effectively solves trajectory tracking problem manipulator.
This article explores the feasibility of developing cloud storage dApps on Internet Computer (IC) blockchain, which can hold full-stack applications entirely on-chain and run at web speed. We analyze services' security, stability, cost, performance issues propose a multi-canister system design scheme for building IC. Our quantitative tests demonstrate that blockchain-secured data I/O operations IC result in ten times time savings up to million cost compared those Ethereum; deploying...