Results 151 to 160 of about 33,587 (210)

An Optimization-based Framework to Learn Conditional Random Fields for Multi-label Classification. [PDF]

Proc SIAM Int Conf Data Min, 2014
Naeini MP, Batal I, Liu Z, Hong C, Hauskrecht M.   +4 more
europepmc   +1 more source

Disabling COMPASS Promoter Licensing Shifts HDAC‐Inhibited Gastric Cancer Toward Sustained Transcriptional Suppression During Recovery

Advanced Science, EarlyView.
Combined inhibition of the WDR5 WIN pocket and HDAC activity converts SAHA‐induced hyperacetylation into a promoter state with reduced WDR5–COMPASS association and H3K4me3. MYC/E2F‐linked nascent transcription and biosynthetic recovery are suppressed, while apoptosis and senescence‐like features increase, resulting in sustained growth inhibition in ...
Jintian Song, Hui Yu, Jianping Jiang, Zhihui Jiang, Zhongshi Hong, Xu Zhang, Luchuan Chen, Shenghong Wei, Yi Wang   +8 more
wiley   +1 more source

Thioredoxin‐2 Alleviates Osteoporosis by Restraining FOXO3a Nuclear Translocation

Advanced Science, EarlyView.
Endothelial TRX2 preserves bone homeostasis by retaining FOXO3a at mitochondria and limiting TRAIL production. Loss of TRX2 or oxidative stress releases FOXO3a for nuclear translocation, increasing endothelial TRAIL secretion and driving osteoclast formation and bone loss.
Chi Zhan, Zhaocai Zhou, Yue Ding, Rong Lian, Xinyu Li, Xintong Zhang, Jie Cao, Zhonghui Tang, Zhengmei Lin, Zhi Song, Feng He   +10 more
wiley   +1 more source

A comparison of conditional random fields and structured support vector machines for chemical entity recognition in biomedical literature. [PDF]

J Cheminform, 2015
Tang B, Feng Y, Wang X, Wu Y, Zhang Y, Jiang M, Wang J, Xu H.   +7 more
europepmc   +1 more source

Mitochondrial Quality Control in Degenerative Musculoskeletal Diseases: Signaling Networks and Therapeutic Landscapes

Advanced Science, EarlyView.
Mitochondrial quality control (MQC) collapse redefines osteoarthritis, intervertebral disc degeneration, and osteoporosis as disorders of organelle dysfunction. Damaged mitochondria leak mtDNA and metabolites, driving cGAS‐STING inflammation, epigenetic reprogramming, and metabolic memory.
Haiyang Gao, Zhangrong Cheng, Xianglong Chen, Wenbo Wu, Wang Wu, Zimu Yu, Cao Yang, Yukun Zhang   +7 more
wiley   +1 more source

Recognition and Evaluation of Clinical Section Headings in Clinical Documents Using Token-Based Formulation with Conditional Random Fields. [PDF]

Biomed Res Int, 2015
Dai HJ, Syed-Abdul S, Chen CW, Wu CC.
europepmc   +1 more source

Data‐Driven and Physics‐Informed Modeling Perspectives for Soft Manipulators: From SINDy to Hybrid Intelligence

Advanced Science, EarlyView.
This Perspective charts the modeling landscape for soft manipulators, spanning sparse system identification, neural dynamics, physics‐informed models and hybrid intelligence. We examine how physics, data, sensing, adaptation and control can assume complementary roles within this landscape, and provide a framework for selecting modeling approaches ...
Wenbo Hui, Yunyi Wang, Teng Zhang, Yang Chen, Min Pan   +4 more
wiley   +1 more source

Parsing citations in biomedical articles using conditional random fields. [PDF]

Comput Biol Med, 2011
Zhang Q, Cao YG, Yu H.
europepmc   +1 more source

Astrocytic Ketogenesis Protects Central Nervous System Injury via CPT1A Stabilization and Epigenetic Regulation

Advanced Science, EarlyView.
A distinct astrocyte subpopulation, enriched at the lesion border, drives CNS repair through enhanced ketone body metabolism. This process promotes neuronal survival and axonal sparing via CPT1A stabilization and H3K9bhb‐dependent epigenetic reprogramming, positioning astrocytic ketogenesis as a promising therapeutic target for tissue regeneration ...
Dishui Pan, Haoming Shu, Rui Gao, Yilong Ren, Wu Ye, Xuhui Ge, Yao Gu, Yufeng Zhu, Xiaokun Wang, Honglin Teng, Xuhui Zhou, Wei Liu, Yang Gao, Jianquan Zhao, Weihua Cai   +14 more
wiley   +1 more source

An Explainable Multimodal Deep‐Learning Model Using Histopathological Image and Clinical Information for Prognosis Prediction in Colorectal Cancer: A Multi‐Center Cohort Study

Advanced Science, EarlyView.
This study develops a multimodal deep‐learning model that integrates clinical variables and histopathological images to predict survival outcomes in colorectal cancer. The multimodal model effectively stratifies patients into low‐ and high‐risk groups, demonstrating superior accuracy and generalizability across multiple independent cohorts.
Zhihan Jiang, Xiangchao Shi, Chenghan Su, Yao Ma, Rui Li, Menglei Chen, Jianxin Cui, Nicholas Hawkins, Robyn Ward, Xiangzhi Bai, Jitendra Jonnagaddala, Wei Fu, Xin Zhou   +12 more
wiley   +1 more source