Results 101 to 110 of about 649,643 (307)

Gαi1/3 Is a Novel Regulatory Target for RANKL Signal Transduction and Osteoporosis

Advanced Science, EarlyView.
ABSTRACT Osteoporosis, characterized by progressive bone loss and increased fracture risk, is a growing concern as the population ages. Current treatments, though advanced, remain limited, underscoring the necessity for novel therapeutic targets. Recent studies have shown that the immune system plays a key role in osteoporosis, with osteoclasts driving
Chaowen Bai, Mingchao Zhang, Le Liu, Lide Tao, Chenyang Xu, Hao Chai, Xin Shi, Yin Wang, Xiaopei Zhang, Qiong Chen, Dong Liu, Jinyu Bai, Chang She, Xiaozhong Zhou, Cong Cao, Huajian Shan   +15 more
wiley   +1 more source

Sentiment Analysis Based on Improved Transformer Model and Conditional Random Fields

IEEE Access
With the rapid development of the Internet, people independently write comments with emotional characteristics on e-commerce platforms, which express consumers’ emotional tendencies towards products or services from multiple perspectives.
Lisha Yao, Ni Zheng
doaj   +1 more source

Learning Traffic Flow Dynamics Using Random Fields

IEEE Access, 2019
This paper presents a mesoscopic traffic flow model that explicitly describes the spatio-temporal evolution of the probability distributions of vehicle trajectories.
Saif Eddin G. Jabari, Deepthi Mary Dilip, Dianchao Lin, Bilal Thonnam Thodi   +3 more
doaj   +1 more source

Arabic Diacritization Using Bidirectional Long Short-Term Memory Neural Networks With Conditional Random Fields

IEEE Access, 2020
Arabic diacritics play a significant role in distinguishing words with the same orthography but different meanings, pronunciations, and syntactic functions. The presence of Arabic diacritics can be useful in many natural language processing applications,
Abdulmohsen Al-Thubaity, Atheer Alkhalifa, Abdulrahman Almuhareb, Waleed Alsanie   +3 more
doaj   +1 more source

Image Labeling with Markov Random Fields and Conditional Random Fields

, 2018
Most existing methods for object segmentation in computer vision are formulated as a labeling task. This, in general, could be transferred to a pixel-wise label assignment task, which is quite similar to the structure of hidden Markov random field. In terms of Markov random field, each pixel can be regarded as a state and has a transition probability ...
Wu, Shangxuan, Weng, Xinshuo
openaire   +2 more sources

RUNX2 Activation in Fibro/Adipogenic Progenitors Promotes Muscle Fibrosis in Muscular Dystrophy

Advanced Science, EarlyView.
This study revealed a novel role of the chemokine‐TGF‐β1‐RUNX2 axis in determining the fate of FAP differentiation and modulating muscle fibrosis in patients and mice with muscular dystrophies. ABSTRACT Clinical evidence indicates concurrent muscle inflammation and fibrosis in muscular dystrophies (MDs); however, the molecular mechanisms underlying ...
Pengkai Wu, Zehua Zhang, Kai Zheng, Ziqi Zhu, Yong Zhu, Abdukahar Kiram, Lei Zhao, Huihui Chen, Zhu Xu, Xihua Li, Beicheng Sun, Zhijian Li, Dengqiu Xu   +12 more
wiley   +1 more source

Semantic segmentation of multisensor remote sensing imagery with deep ConvNets and higher-order conditional random fields

Journal of Applied Remote Sensing, 2019
. Aerial images acquired by multiple sensors provide comprehensive and diverse information of materials and objects within a surveyed area. The current use of pretrained deep convolutional neural networks (DCNNs) is usually constrained to three-band ...
Yansong Liu, Sankaranarayanan Piramanayagam, S. Monteiro, E. Saber   +3 more
semanticscholar   +1 more source

LMO7 Suppresses Tumor‐Associated Macrophage Phagocytosis of Tumor Cells Through Degradation of LRP1

Advanced Science, EarlyView.
LMO7 in tumor‐associated macrophages suppresses phagocytosis of tumor cells and limits cytotoxic T lymphocytes infiltration, fostering tumor progression. Mechanistically, LMO7 mediates the ubiquitination and degradation of the phagocytic receptor LRP1, impairing its ability to engulf tumor cells and driving macrophages toward an antitumor phenotype ...
Mengkai Li, Tao Wang, Yuwen Zhong, Zhiming Wang, Wei Li, Zejian Wang, Xinyi Yang, Yu Qiao, Jianfeng Xiang, Wei Gu, Zishu Wang, Lei Sun, Feng Qian   +12 more
wiley   +1 more source

Conditional Random Fields [PDF]

, 2021
openaire   +2 more sources

TildeCRF: Conditional Random Fields for Logical Sequences [PDF]

, 2006
Conditional Random Fields (CRFs) provide a powerful instrument for labeling sequences. So far, however, CRFs have only been considered for labeling sequences over flat alphabets. In this paper, we describe TildeCRF, the first method for training CRFs on logical sequences, i.e., sequences over an alphabet of logical atoms.
Gutmann, Bernd, Kersting, Kristian
openaire   +2 more sources