Results 131 to 140 of about 55,131 (288)

Synergistic Tuning of Conformational Dynamics, Electron Tunneling, and Substrate Positioning Enhances Electron Transfer in a P450 Chimera for Calcifediol Biosynthesis

Advanced Science, EarlyView.
A synergistic electron transfer (ET) optimization strategy modulating conformational dynamics, ET pathway, and substrate orientation is proposed for self‐sufficient cytochrome P450s. Guided by this strategy, a P450 variant with improved ET and catalytic efficiency was identified, and the underlying molecular basis was revealed by computational analysis.
Ziqi Liang, Xitong Song, Shuming Cheng, Yiwen Shen, Jie Zhang, Yaru Wang, Huiying Luo, Bin Yao, Binju Wang, Tao Tu   +9 more
wiley   +1 more source

ACCELERATING ORE SINTERING MATHEMATICAL MODEL USING GPU

Компютерні системи та інформаційні технології
The study aims to enhance the efficiency and computational speed of the ore sintering model through the utilization of graphics processing units (GPUs).
Kyrylo KRASNIKOV
doaj   +1 more source

Neural Fields for Highly Accelerated 2D Cine Phase Contrast MRI

Advanced Science, EarlyView.
ABSTRACT 2D cine phase contrast (CPC) MRI provides quantitative information on blood velocity and flow within the human vasculature. However, data acquisition is time‐consuming, motivating the reconstruction of the velocity field from undersampled measurements to reduce scan times. In this work, neural fields are proposed as a continuous spatiotemporal
Pablo Arratia, Martin J. Graves, Mary McLean, Carolin Pirkl, Carola‐Bibiane Schönlieb, Timo Schirmer, Florian Wiesinger, Matthias J. Ehrhardt   +7 more
wiley   +1 more source

VeloFHE: GPU Acceleration for FHEW and TFHE Bootstrapping

Transactions on Cryptographic Hardware and Embedded Systems
Bit-wise Fully Homomorphic Encryption schemes like FHEW and TFHE offer efficient functional bootstrapping, enabling concurrent function evaluation and noise reduction.
Shiyu Shen, Hao Yang, Zhe Liu, Ying Liu, Xianhui Lu, Wangchen Dai, Lu Zhou, Yunlei Zhao, Ray C. C. Cheung   +8 more
doaj   +1 more source

GPU-accelerated feature tracking

2016 IEEE National Aerospace and Electronics Conference (NAECON) and Ohio Innovation Summit (OIS), 2016
The motivation of this research is to prove that Graphics Processing Units (GPUs) can provide significant speedup of long-executing image processing algorithms by way of parallelization and data throughput. This research accelerates the Kanade-Lucas-Tomasi (KLT) feature tracking algorithm using OpenCL.
openaire   +2 more sources

Integrating Spatial Proteogenomics in Cancer Research

Advanced Science, EarlyView.
Xx xx. ABSTRACT Background: Spatial proteogenomics marks a paradigm shift in oncology by integrating molecular analysis with spatial information from both spatial proteomics and other data modalities (e.g., spatial transcriptomics), thereby unveiling tumor heterogeneity and dynamic changes in the microenvironment.
Yida Wang, Yang Wu, Feng Zhang, Parthiban Periasamy, Haiyue You, Denise Goh, Rachel Elizabeth Ann Fincham, Xin Ning, Danping Wu, Lu Liu, Ying Jiang, Zhiwen Qian, Joe Yeong, Yan Zhang   +13 more
wiley   +1 more source

Accelerating an implicit ocean model using CUDA C

Applied Ocean Research
In this study, we developed an ocean model named GPU-IOCASM (GPU-Implicit Ocean Current and Storm Surge Model), which employs the finite difference method with implicit iteration to ensure simulation stability.
Jianbin Xie, Xingru Feng, Tianhai Gao, Changming Dong, Baoshu Yin, Changmao Wu   +5 more
doaj   +1 more source

A Guide for Spatial Omics Technologies: Innovation, Evaluation, and Application

Advanced Science, EarlyView.
This review presents a strategy‐centric framework for spatial omics technologies, organizing methods by how spatial information is experimentally encoded. It compares key performance trade‐offs across sequencing‐ and imaging‐based approaches, examines computational and practical limitations, and highlights biomedical applications. The analysis provides
Xiaofeng Wu, Weize Xu, Da Lin, Leqiang Sun, Jinxia Dai, Gang Cao   +5 more
wiley   +1 more source

Rapid Proteome‐Wide Discovery of Protein–Protein Interactions With ppIRIS

Advanced Science, EarlyView.
ppIRIS is a lightweight deep learning framework for proteome‐wide protein–protein interaction prediction directly from sequence. By fusing evolutionary and structural embeddings with a regularized Siamese architecture, ppIRIS achieves state‐of‐the‐art accuracy across species, enables minute‐scale screening, and reveals biologically validated bacterial ...
Luiz Felipe Piochi, Di Tang, Johan Malmström, Yasaman Karami, Hamed Khakzad   +4 more
wiley   +1 more source

Leveraging Artificial Intelligence and Large Language Models for Cancer Immunotherapy

Advanced Science, EarlyView.
Cancer immunotherapy faces challenges in predicting treatment responses and understanding resistance mechanisms. Artificial intelligence (AI) and machine learning (ML) offer powerful solutions for cancer immunotherapy in patient stratification, biomarker discovery, treatment strategy optimization, and foundation model development.
Xinchao Wu, Mengtao Sun, Lusheng Li, Jieqiong Wang, Shibiao Wan   +4 more
wiley   +1 more source