Results 231 to 240 of about 210,556 (289)

Spatio-temporal envolutional graph neural network for traffic flow prediction in UAV-based urban traffic monitoring system. [PDF]

Sci Rep
Ma W, Chu Z, Chen H, Li M.
europepmc   +1 more source

Hierarchical Complementary Enhanced Autoencoder Integrating Spatio‐Temporal Interaction Feature for Soft Sensor

Asia-Pacific Journal of Chemical Engineering, EarlyView.
ABSTRACT To address the issues of neglecting the spatiotemporal correlations among process variables, low‐level features are vulnerable to noise interference, and the gradual loss of key information layer by layer during deep network training in traditional stacked autoencoder‐based soft‐sensor models, this paper proposes a hierarchical complementary ...
Xiaoping Guo, Jinghong Guo, Yuan Li
wiley   +1 more source

Graph Attention Informer for Long-Term Traffic Flow Prediction under the Impact of Sports Events. [PDF]

Sensors (Basel)
Song Y, Luo R, Zhou T, Zhou C, Su R.
europepmc   +1 more source

Morphometric analysis of postnatal lung development in the gray short‐tailed opossum (Monodelphis domestica): An ultrastructural study

The Anatomical Record, EarlyView.
Abstract An ultrastructural morphometric analysis of the postnatal development of the lung in the gray short‐tailed opossum (Monodelphis domestica) has been conducted to evaluate the morphofunctional status of this poorly developed marsupial lung immediately following parturition.
Kirsten Ferner
wiley   +1 more source

Spatial linear transformer and temporal convolution network for traffic flow prediction. [PDF]

Sci Rep
Xing Z, Huang M, Li W, Peng D.
europepmc   +1 more source

Mucosal‐Associated Invariant T Cells in Rheumatic Diseases

Arthritis &Rheumatology, EarlyView.
Mucosal‐associated invariant T (MAIT) cells are innate‐like T cells defined by their semi‐invariant T cell receptor and restriction by the major histocompatibility complex class I–related molecule (MR1). These cells are primarily activated by microbial‐derived metabolites presented by MR1 or by cytokines.
Manon Lesturgie‐Talarek, Virginie Gonzalez, Lucie Beaudoin, Noémie Sénot, Corinne Miceli‐Richard, Yannick Allanore, Agnès Lehuen, Jerôme Avouac   +7 more
wiley   +1 more source

SE-MAConvLSTM: A deep learning framework for short-term traffic flow prediction combining Squeeze-and-Excitation Network and Multi-Attention Convolutional LSTM Network. [PDF]

PLoS One
Zhu R, Tang J, He X, Zhou X, Huang X, Wu F, Chen S.   +6 more
europepmc   +1 more source

Biomarkers of Lupus Nephritis Histopathology: Where Do We Stand?

Arthritis &Rheumatology, EarlyView.
Objective Lupus nephritis (LN) is characterized by a variable disease course, necessitating continuous monitoring. There is an urgent need to identify noninvasive biomarkers. By reviewing and critically assessing the quality of existing studies on LN biomarkers correlating with histopathology, we here explore the challenges in promoting their use in ...
Valentina Querin, Leonardo Palazzo, Agnes B. Fogo, Mark Haas, David R. W. Jayne, Liz Lightstone, Brad H. Rovin, Surya V. Seshan, Augusto Vaglio, Ioannis Parodis, Ingeborg M. Bajema, for the Lupus Nephritis Classification Steering Committee   +11 more
wiley   +1 more source

Plasma Proteomics Identifies TAOK3 as a Potential Biomarker of Rheumatoid Arthritis Activity and a Novel Therapeutic Target

Arthritis &Rheumatology, Accepted Article.
Objective Bone destruction associated with active rheumatoid arthritis (RA) remains a major therapeutic challenge, with a lack of reliable molecular markers reflecting bone injury. This study aims to identify novel biomarkers linked to bone destruction in active RA through proteomic analysis, providing new strategies for precise monitoring and targeted
Pengfei Xin, Wenzhen Li, Xinyu A, Jun Shen, Xiaohui Meng, Yanqin Bian, Haihui Han, Zheng Xiang, Lei Ran, Songtao Sun, Jun Xie, Tao Yue, Qi Zhu, Xiaoming Zhang, Lu Xie, Lianbo Xiao   +15 more
wiley   +1 more source