Results 41 to 50 of about 3,104,277 (280)

Extracellular vesicle lipidomics liquid biopsy reveals systemic and tumor microenvironment metabolic reprogramming in ovarian cancer

Molecular Oncology, EarlyView.
Extracellular vesicle (EV) lipidomic profiling of plasma and ascites from patients with high‐grade serous ovarian cancer and of ovarian cancer cell lines reveals enrichment of triglycerides (TGs), diacylglycerols (DGs), phosphatidylcholine (PCs), sphingomyelins (SMs), reflecting tumor metabolic reprogramming.
Shikha Rani, Dominic Guanzon, Andrew Lai, Katherin Scholz‐Romero, Sarah Reed, Edita Ritmejeryte, Rohan Lourie, Naven Chetty, Kaltin Ferguson, Carlos Salomon   +9 more
wiley   +1 more source

Towards explainability for AI-based edge wireless signal automatic modulation classification

Journal of Cloud Computing: Advances, Systems and Applications
With the development of artificial intelligence technology and edge computing technology, deep learning-based automatic modulation classification (AI-based AMC) deployed at edge devices using centralised or distributed learning methods for optimisation ...
Bo Xu, Uzair Aslam Bhatti, Hao Tang, Jialin Yan, Shulei Wu, Nadia Sarhan, Emad Mahrous Awwad, Syam M. S., Yazeed Yasin Ghadi   +8 more
doaj   +1 more source

Paclitaxel induces NM2‐dependent cellular contraction through GEF‐H1 dissociation from microtubules and RhoA/ROCK activation in cancer cells

Molecular Oncology, EarlyView.
Taxanes are widely used chemotherapeutics whose effects on cellular mechanics remain poorly understood. We show that paclitaxel induces rapid cellular contraction by promoting GEF‐H1 dissociation from microtubules and non‐muscle myosin II activation through RhoA/ROCK.
Gloria Asensio‐Juárez, Rafael Pérez‐Díaz, Hugo Ramos‐Solano, Marina Garrido‐Casado, Vanessa C. Talayero, Miguel Vicente‐Manzanares   +5 more
wiley   +1 more source

Classificação automática de modulações digitais usando histogramas e máquinas de vetores de suporte [PDF]

, 2014
Dissertação (mestrado) - Universidade Federal de Santa Catarina, Centro Tecnológico, Programa de Pós-Graduação em Ciência da Computação, Florianópolis, 2014A rápida expansão de comunicações sem fio tornaram o espectro de rádio frequência um recurso ...
Sorato, Edson
core  

Robust Automatic Modulation Classification Under Varying Noise Conditions

IEEE Access, 2017
Automatic modulation classification (AMC) plays a key role in non-cooperative communication systems. Feature-based (FB) methods have been widely studied in particular.
Zhilu Wu, Siyang Zhou, Zhendong Yin, Bo Ma, Zhutian Yang   +4 more
doaj   +1 more source

MagmaFlow: A desktop platform for artificial intelligence‐driven expression analysis

FEBS Open Bio, EarlyView.
MagmaFlow is a free, no‐code platform for gene expression analysis. It generates interactive volcano plots, links genes to literature, pathways, and diseases, prioritizes candidates using millions of publications, identifies affected biological processes, builds network diagrams, and exports publication‐ready figures and reports for macOS and Windows ...
Carlos E. Buss, Ao Li, Eduardo H. Gilglioni, Mayank Bansal, Sumeet Pal Singh, Latifa Bakiri, Alessandra K. Cardozo, Esteban N. Gurzov   +7 more
wiley   +1 more source

Automatic Arabic Text Classification

, 2008
Automated document classification is an important text mining task especially with the rapid growth of the number of online documents present in Arabic language.
Khorsheed, M. S., Al-Harbi, S, Al-Thubaity, A, Al-Rajeh, A, Almuhareb, A   +4 more
core   +1 more source

A Dictionary Learning Based Automatic Modulation Classification Method

IEEE Access, 2018
As the process of identifying the modulation format of the received signal, automatic modulation classification (AMC) has various applications in spectrum monitoring and signal interception.
Kezhong Zhang, Easton Li Xu, Zhiyong Feng, Ping Zhang   +3 more
doaj   +1 more source

Dose‐dependent hepatotoxicity of hydrogen peroxide in HepG2 cells and its modulation by CYP450 induction

FEBS Open Bio, EarlyView.
NMR metabolomics revealed concentration‐dependent metabolic perturbations in HepG2 cells exposed to H2O2. Rifampicin pretreatment enhanced metabolic competence, attenuated toxin‐induced alterations and produced metabolite profiles more consistent with human liver physiology, supporting the use of CYP450‐induced HepG2 models for improved in vitro ...
Maren Jinks, Garth L. Maker, Emily C. Davies, Berin A. Boughton, Samantha Lodge   +4 more
wiley   +1 more source

Generative Adversarial Network-Based Signal Inpainting for Automatic Modulation Classification

IEEE Access, 2023
Automatic modulation classification (AMC) aims to automatically identify the modulation type of a detected signal in an intelligent wireless receiver, such as software-defined radio (SDR).
Subin Lee, Young-Il Yoon, Yong Ju Jung
doaj   +1 more source