Results 171 to 180 of about 3,188,697 (327)

DNA‐PKcs‐Driven YAP1 Phosphorylation and Nuclear Translocation: a Key Regulator of Ferroptosis in Hyperglycemia‐Induced Cardiac Dysfunction in Type 1 Diabetes

Advanced Science, EarlyView.
In the context of chronic hyperglycemia, a DDR is initiated, leading to the pathological activation of DNA‐PKcs in the diabetic heart. This activated DNA‐PKcs directly interacts with and phosphorylates YAP1 at Thr226, thereby increasing the nuclear expression of YAP1.
Junyan Wang, Xing Chang, Chun Li, Jing Gao, Zhijiang Guo, Haowen Zhuang, Lingjun Wang, Yusheng Huang, Wei Wang, Chao Li, Qingyong He   +10 more
wiley   +1 more source

Table 3: Comparison of performance of proposed model with baseline models in terms of accuracy and F1-score.

, 2021

openalex   +1 more source

Integrative Multi‐Omics and Routine Blood Analysis Using Deep Learning: Cost‐Effective Early Prediction of Chronic Disease Risks

Advanced Science, EarlyView.
Omicsformer, a deep learning model, integrates multi‐omics and routine blood data to accurately predict risks for nine chronic diseases, including cancer and cardiovascular conditions. Validated using large scale clinical data, it reveals early risk trajectories, advancing personalized medicine and offering a cost‐effective, community‐based solution ...
Zhibin Dong, Pei Li, Yi Jiang, Zhihan Wang, Shihui Fu, Hebin Che, Meng Liu, Xiaojing Zhao, Chunlei Liu, Chenghui Zhao, Qin Zhong, Chongyou Rao, Siwei Wang, Suyuan Liu, Dayu Hu, Dongjin Wang, Juntao Gao, Kai Guo, Xinwang Liu, En Zhu, Kunlun He   +20 more
wiley   +1 more source

Towards the Development of Balanced Synthetic Data for Correcting Grammatical Errors in Arabic: An Approach Based on Error Tagging Model and Synthetic Data Generating Model [PDF]

arXiv
Synthetic data generation is widely recognized as a way to enhance the quality of neural grammatical error correction (GEC) systems. However, current approaches often lack diversity or are too simplistic to generate the wide range of grammatical errors made by humans, especially for low-resource languages such as Arabic.
arxiv  

Table 4: Comparison of F1-score with latest ERC models.

, 2021

openalex   +1 more source

PPY‐Induced iCAFs Cultivate an Immunosuppressive Microenvironment in Pancreatic Cancer

Advanced Science, EarlyView.
Pancreatic ductal adenocarcinoma features abundant stromal components that hinder therapy efficacy. Single‐cell RNA sequencing analysis combined with experiments identified PPY, a gastrointestinal hormone, as a novel inducer of immunosuppressive iCAFs. Mechanistic studies revealed that PPY activates the non‐canonical NF‐κB pathway via EGFR.
Mengdie Cao, Wang Peng, Bin Cheng, Ronghua Wang, Wei Chen, Luyao Liu, Hai Huang, Shiru Chen, Haochen Cui, JingWen Liang, Qiaodan Zhou, Si Xiong, Shuya Bai, Luoxia Liu, Yuchong Zhao   +14 more
wiley   +1 more source

ORUD-Detect: A Comprehensive Approach to Offensive Language Detection in Roman Urdu Using Hybrid Machine Learning–Deep Learning Models with Embedding Techniques

Information
With the rapid expansion of social media, detecting offensive language has become critically important for healthy online interactions. This poses a considerable challenge for low-resource languages such as Roman Urdu which are widely spoken on platforms
Nisar Hussain, Amna Qasim, Gull Mehak, Olga Kolesnikova, Alexander Gelbukh, Grigori Sidorov   +5 more
doaj   +1 more source

Machine Learning-Based Genomic Linguistic Analysis (Gene Sequence Feature Learning): A Case Study on Predicting Heavy Metal Response Genes in Rice [PDF]

arXiv
This study explores the application of machine learning-based genetic linguistics for identifying heavy metal response genes in rice (Oryza sativa). By integrating convolutional neural networks and random forest algorithms, we developed a hybrid model capable of extracting and learning meaningful features from gene sequences, such as k-mer frequencies ...
arxiv  

High‐Fidelity Computational Microscopy via Feature‐Domain Phase Retrieval

Advanced Science, EarlyView.
An innovative phase retrieval framework, termed FD‐PR, is uniquely established in the image's feature domain through the feature‐extracted, physical‐driven regression with interfaces for combining physics and image processing constraints. FD‐PR takes advantage of invariance components of an image against presences of model mismatch and uncertainty ...
Shuhe Zhang, An Pan, Hongbo Sun, Yidong Tan, Liangcai Cao   +4 more
wiley   +1 more source

A novel approach to identify the brain regions that best classify ADHD by means of EEG and deep learning

Heliyon
Objective: Attention-Deficit Hyperactivity Disorder (ADHD) is one of the most widespread neurodevelopmental disorders diagnosed in childhood. ADHD is diagnosed by following the guidelines of Diagnostic and Statistical Manual of Mental Disorders, Fifth ...
Javier Sanchis, Sandra García-Ponsoda, Miguel A. Teruel, Juan Trujillo, Il-Yeol Song   +4 more
doaj