Results 61 to 70 of about 812,084 (287)

Dammarenediol II enhances etoposide‐induced apoptosis by targeting O‐GlcNAc transferase and Akt/GSK3β/mTOR signaling in liver cancer

Molecular Oncology, EarlyView.
Etoposide induces DNA damage, activating p53‐dependent apoptosis via caspase‐3/7, which cleaves PARP1. Dammarenediol II enhances this apoptotic pathway by suppressing O‐GlcNAc transferase activity, further decreasing O‐GlcNAcylation. The reduction in O‐GlcNAc levels boosts p53‐driven apoptosis and influences the Akt/GSK3β/mTOR signaling pathway ...
Jaehoon Lee, Byung‐Cheol Han, Gi‐Bang Koo, Jihye Park, Mijin Kwon, Young Bin Park, Jae‐Mun Choi, Seung‐Ho Lee, Sangho Roh   +8 more
wiley   +1 more source

Joint Denoising / Compression of Image Contours via Shape Prior and Context Tree

, 2017
With the advent of depth sensing technologies, the extraction of object contours in images---a common and important pre-processing step for later higher-level computer vision tasks like object detection and human action recognition---has become easier ...
Cheung, Gene, Florencio, Dinei, Zheng, Amin   +2 more
core   +1 more source

Dimethyl fumarate combined with cisplatin at subcytotoxic doses sensitizes cervical cancer toward ferroptosis and apoptosis through GSH restriction and p53 (re)activation

Molecular Oncology, EarlyView.
Dimethyl fumarate (DMF) reduces growth of HPV‐positive cervical cancer spheroids and induces ferroptosis in cervical cancer cells via blocking SLC7A11/Glutathione (GSH) axis. Combination of subcytotoxic doses of DMF and cisplatin (CDDP) further suppresses spheroid growth and drives cell death in 2D culture models.
Carolina Punziano, Giuseppina Minopoli, Simona Romano, Laura Marrone, Katia Aquilano, Maria Lina Tornesello, Raffaella Faraonio   +6 more
wiley   +1 more source

Joint Extraction of Hazard Source Knowledge in Integrated Utility Corridor Based on Knowledge Graph

IEEE Access
The current knowledge graph-based joint extraction method for hazard source identification in integrated utility tunnels has been applied to emergency response management, assisting personnel in making rapid and accurate decisions.
Shanshan Wan, Houchen Lv, Yuhan Zhu, Yiran Zhao   +3 more
doaj   +1 more source

Global Normalization of Convolutional Neural Networks for Joint Entity and Relation Classification

, 2017
We introduce globally normalized convolutional neural networks for joint entity classification and relation extraction. In particular, we propose a way to utilize a linear-chain conditional random field output layer for predicting entity types and ...
Adel, Heike, Schütze, Hinrich
core   +1 more source

Extracting Chinese events with a joint label space model

PLOS ONE, 2022
The task of event extraction consists of three subtasks namely entity recognition, trigger identification and argument role classification. Recent work tackles these subtasks jointly with the method of multi-task learning for better extraction performance.
Wenzhi Huang, Junchi Zhang, Donghong Ji
openaire   +4 more sources

Network divergence analysis identifies adaptive gene modules and two orthogonal vulnerability axes in pancreatic cancer

Molecular Oncology, EarlyView.
Tumors contain diverse cellular states whose behavior is shaped by context‐dependent gene coordination. By comparing gene–gene relationships across biological contexts, we identify adaptive transcriptional modules that reorganize into distinct vulnerability axes.
Brian Nelson, Lyanne Delgado‐Coka, Natalia Marchenko, Luisa F. Escobar‐Hoyos, Kenneth R. Shroyer, Alisa Yurovsky, Trey Ideker, Gábor Balázsi, Thomas MacCarthy, Scott Powers   +9 more
wiley   +1 more source

GUniER: GPT-Enhanced Joint Extraction of Entities and Relations Through Integrated Deep Bidirectional Semantics and Unified Modeling

IEEE Access
Entity and relation extraction are key tasks in natural language processing (NLP) and knowledge graph construction. However, existing methods often overlook the complex interactions between entities and their relations.
Dongsheng Wang, Liming Wang, Kun Tang, Qile Bo   +3 more
doaj   +1 more source

A Joint Model for Hierarchical Nested Information Extraction

IEEE Access, 2022
During the long-term power construction process, the power dispatching department has saved many notification texts related to adjustment of grid operation mode.
Ruyang Yin, Zhencheng Zhou, Zonghe Gao
doaj   +1 more source

Temporal Relation Extraction with Joint Semantic and Syntactic Attention

Computational Intelligence and Neuroscience, 2022
Determining the temporal relationship between events has always been a challenging natural language understanding task. Previous research mainly relies on neural networks to learn effective features or artificial language features to extract temporal relationships, which usually fails when the context between two events is complex or extensive. In this
Panpan Jin, Feng Li, Xiaoyu Li, Qing Liu, Kang Liu, Haowei Ma, Pengcheng Dong, Shulin Tang   +7 more
openaire   +2 more sources