Results 51 to 60 of about 1,005,453 (288)

Side-channel analysis in frequency domain with clustering

Dianzi Jishu Yingyong, 2021
The alignment of power traces is one of the key factors affecting the success of side-channel analysis. Frequency-domain side-channel analysis can effectively solve the alignment of power traces in the time domain.
Cai Juesong, Yan Yingjian, Zhu Chunsheng, Guo Pengfei   +3 more
doaj   +1 more source

Interpreting the effects of DNA polymerase variants at the structural level

Molecular Oncology, EarlyView.
Using MAVISp and molecular dynamics simulations, we analyzed over 60 000 missense variants in POLE and POLD1 from ClinVar, COSMIC, cBioPortal, and saturation mutagenesis. Identified mechanistic indicators, including stability, binding, and long‐range, enable structural interpretation, providing ACMG‐like evidence for possible reclassification of VUS ...
Matteo Arnaudi, Karolina Krzesińska, Ludovica Beltrame, Pablo Sánchez‐Izquierdo Besora, Matteo Tiberti, Mef Nilbert, Anna Rohlin, Elena Papaleo   +7 more
wiley   +1 more source

Single‐cell DNA methylation profiling: Technologies, computation, and applications in precision oncology

Molecular Oncology, EarlyView.
Single‐cell DNA methylation (scDNAme) profiling maps epimutational clonal evolution, revealing mechanisms of malignancy and therapeutic resistance across diverse cancer types. By providing a high‐resolution landscape of intratumoral heterogeneity, these technologies empower precise patient stratification, guide the development of enhanced ...
Ik Soo Kim
wiley   +1 more source

WaveletHSI: Direct HSI Classification from Compressed Wavelet Coefficients via Sub-Band Feature Extraction and Fusion

Journal of Imaging
A major computational bottleneck in classifying large-scale hyperspectral images (HSI) is the mandatory data decompression prior to processing. Compressed-domain computing offers a solution by enabling deep learning on partially compressed data. However,
Xin Li, Baile Sun
doaj   +1 more source

Robust PD-Type Iterative Learning Control of Discrete Linear Repetitive Processes in the Finite Frequency Domain

Mathematics, 2020
This paper studies a robust iterative learning control design for discrete linear repetitive processes in the finite frequency domain. Firstly, the state-space model of the iterative learning process is deduced.
Lei Wang, Mu Li, Huizhong Yang
doaj   +1 more source

Frequency-Aware Deepfake Detection: Improving Generalizability through Frequency Space Domain Learning

AAAI Conference on Artificial Intelligence
This research addresses the challenge of developing a universal deepfake detector that can effectively identify unseen deepfake images despite limited training data.
Chuangchuang Tan, Yao Zhao, Shikui Wei, Guanghua Gu, Ping Liu, Yunchao Wei   +5 more
semanticscholar   +1 more source

CEACAM1 participation in breast cancer progression

Molecular Oncology, EarlyView.
In invasive breast cancer (BC), CEACAM1 shifts from an apical to a uniform membranous/cytoplasmic pattern, or is lost, as tumors dedifferentiate, inversely tracking the Ki‐67 proliferative index. In MCF‐7 cells, only CEACAM1‐4L suppresses proliferation, repressing cell cycle and growth factor genes.
Mykola Lyndin, Irina Kube‐Golovin, Anatolii Romaniuk, Gunther Wennemuth   +3 more
wiley   +1 more source

MSF-LCC: multi-scale spatial-frequency feature learning framework for land cover classification from cross-domain datasets

Geo-spatial Information Science
Land cover classification is essential for sustainable development but remains challenging due to the complexity of high-resolution remote sensing imagery, including spectral similarity between objects, variability within objects, and uneven spatial ...
Bo Yu, Zhihui Ou, Fang Chen, Lei Wang, Ning Wang   +4 more
doaj   +1 more source

SNNFD, spiking neural segmentation network in frequency domain using high spatial resolution images for building extraction

International Journal of Applied Earth Observations and Geoinformation, 2022
Up-to-date building maps are fundamental to urban development and analysis. However, detecting buildings from images with different spatial resolutions and ground object patterns from various imaging sensors is a challenge.
Bo Yu, Aqiang Yang, Fang Chen, Ning Wang, Lei Wang   +4 more
doaj   +1 more source

Large‐scale bidirectional arrayed genetic screens identify OXR1 and EMC4 as modifiers of αSynuclein aggregation

FEBS Open Bio, EarlyView.
Activation of the mitochondrial protein OXR1 increases pSyn129 αSynuclein aggregation by lowering ATP levels and altering mitochondrial membrane potential, particularly in response to MSA‐derived fibrils. In contrast, ablation of the ER protein EMC4 enhances autophagic flux and lysosomal clearance, broadly reducing α‐synuclein aggregates.
Sandesh Neupane, Lea Nikolić, Lorenzo Maraio, Thomas Goiran, Nathan Karpilovsky, Stefano Sellitto, Vangelis Bouris, Jiang‐An Yin, Ronald Melki, Edward A Fon, Adriano Aguzzi, Elena De Cecco   +11 more
wiley   +1 more source