Results 101 to 110 of about 2,836,177 (344)

Dose‐dependent induction of epithelial‐mesenchymal transition in 3D melanoma models by non‐thermal plasma treatment

Molecular Oncology, EarlyView.
Non‐thermal plasma treatment of melanoma cells induced epithelial‐mesenchymal transition (EMT) in a dose‐dependent fashion. This report highlights the critical need to further investigate potential adverse effects of non‐thermal plasma for cancer therapy and to optimize treatment parameters for clinical translation. Despite the promising results of non‐
Eline Biscop, Edgar Cardenas De La Hoz, Hanne Verswyvel, Joey De Backer, Ho Wa Lau, Angela Privat‐Maldonado, Wim Vanden Berghe, Steve Vanlanduit, Evelien Smits, Annemie Bogaerts, Abraham Lin   +10 more
wiley   +1 more source

Edge-centric optimization: a novel strategy for minimizing information loss in graph-to-text generation

Complex & Intelligent Systems
Given the remarkable text generation capabilities of pre-trained language models, impressive results have been realized in graph-to-text generation.
Yao Zheng, Jingyuan Li, Jianhe Cen, Shiqi Sun, Dahu Yin, Yuanzhuo Wang   +5 more
doaj   +1 more source

GNEA: A Graph Neural Network with ELM Aggregator for Brain Network Classification

Complexity, 2020
Brain networks provide essential insights into the diagnosis of functional brain disorders, such as Alzheimer’s disease (AD). Many machine learning methods have been applied to learn from brain images or networks in Euclidean space.
Xin Bi, Zhixun Liu, Yao He, Xiangguo Zhao, Yongjiao Sun, Hao Liu   +5 more
doaj   +1 more source

Linking chemical and disease entities to ontologies by integrating PageRank with extracted relations from literature

Journal of Cheminformatics, 2020
Background Named Entity Linking systems are a powerful aid to the manual curation of digital libraries, which is getting increasingly costly and inefficient due to the information overload.
Pedro Ruas, Andre Lamurias, Francisco M. Couto   +2 more
doaj   +1 more source

Attribute and Structure Preserving Graph Contrastive Learning

AAAI Conference on Artificial Intelligence, 2023
Graph Contrastive Learning (GCL) has drawn much research interest due to its strong ability to capture both graph structure and node attribute information in a self-supervised manner.
Jialu Chen, Gang Kou
semanticscholar   +1 more source

Cytomegalovirus infection is common in prostate cancer and antiviral therapies inhibit progression in disease models

Molecular Oncology, EarlyView.
Human cytomegalovirus infection is common in normal prostate epithelium, prostate tumor tissue, and prostate cancer cell lines. CMV promotes cell survival, proliferation, and androgen receptor signaling. Anti‐CMV pharmaceutical compounds in clinical use inhibited cell expansion in prostate cancer models in vitro and in vivo, motivating investigation ...
Johanna Classon, Moa Stenudd, Margherita Zamboni, Kanar Alkass, Carl‐Johan Eriksson, Lars Pedersen, Alrik Schörling, Anna Thoss, Anders Bergh, Pernilla Wikström, Hans‐Olov Adami, Henrik Toft Sørensen, Henrik Druid, Jonas Frisén   +13 more
wiley   +1 more source

Static detection method for multi-level network source code vulnerabilities based on knowledge graph technology

Discover Artificial Intelligence
The current static detection method of network source code vulnerabilities mainly relies on the static analysis of binary code. However, due to the failure to fully simulate the actual operating environment of programs, some vulnerabilities that trigger ...
Peng Xiao, Lina Zhang, Ying Yan, Zhenhong Zhang   +3 more
doaj   +1 more source

Comprehensive profiling of lncRNAs and mRNAs enriched in small extracellular vesicles for early noninvasive detection of colorectal cancer: diagnostic panel assembly and extensive validation

Molecular Oncology, EarlyView.
Small extracellular vesicles are a promising source of diagnostic molecules. We conducted a comprehensive study, including transcriptome profiling and RT‐qPCR validation on large cohorts of samples. Diagnostic panels enabling sensitive detection of colorectal cancer and precancerous lesions were established. Some molecules were differentially expressed
Petra Vychytilova‐Faltejskova, Marketa Pavlikova, Lucie Pifkova, Robin Jugas, Tana Machackova, Lenka Radova, Milana Sachlova, Renata Bartosova, Tetiana Samoilenko, Zuzana Feckova, Jana Orlickova, Erika Slamova, Elleni Ponechal Michu, Dagmar Al Tukmachi, Michaela Ruckova, Martina Vodinska, Jan Kotoucek, Tina Catela Ivkovic, Marie Boudna, Lucia Bohovicova, Teodor Stanek, Jana Halamkova, Martin Svoboda, Vladimir Prochazka, Tomas Grolich, Zdenek Kala, Ondrej Slaby   +26 more
wiley   +1 more source

Cross-platform binary code similarity detection based on NMT and graph embedding

Mathematical Biosciences and Engineering, 2021
Cross-platform binary code similarity detection is determining whether a pair of binary functions coming from different platforms are similar, and plays an important role in many areas.
Xiaodong Zhu, Liehui Jiang, Zeng Chen
doaj   +1 more source

Generating facets for the cut polytope of a graph by triangular elimination [PDF]

, 2006
The cut polytope of a graph arises in many fields. Although much is known about facets of the cut polytope of the complete graph, very little is known for general graphs. The study of Bell inequalities in quantum information science requires knowledge of
Avis, David, Imai, Hiroshi, Ito, Tsuyoshi   +2 more
core   +2 more sources