Results 141 to 150 of about 154,459 (280)
Spatiotemporal information enhanced multi-feature short-term traffic flow prediction. [PDF]
Huang D, He J, Tu Y, Ye Z, Xie L.
europepmc +1 more source
ABSTRACT CD19‐directed chimeric antigen receptor (CAR) T‐cell therapy has transformed outcomes for patients with relapsed or refractory (r/r) mantle cell lymphoma (MCL), yet more than 40% relapse within one year. Early identification of patients at risk for progression could inform post CAR‐T surveillance and consolidation strategies.
Snegha Ananth +12 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]
Zhu R +6 more
europepmc +1 more source
ABSTRACT In Australia, governments fund Community Legal Centres (CLCs) as part of the legal assistance sector (LAS) to meet the ‘legal needs’ of people experiencing disadvantage who cannot afford private legal services. Persistent unmet demand for CLCs is well‐documented. As artificial intelligence (AI) is increasingly used in private legal practice to
Catherine Hastings +2 more
wiley +1 more source
Zebrafish and CRISPR—A synergistic approach to decipher and cure human diseases
Zebrafish, with high genetic homology to humans, serves as a powerful vertebrate model for disease modeling and drug discovery. Integration of CRISPR/Cas9 technology enables precise genome editing, facilitating the development of translational models for human diseases.
Manikandan Sivaprakasam +4 more
wiley +1 more source
Research progress on biomarkers of traumatic brain injury
Traumatic brain injury: From primary insult to secondary neuroinflammation and degeneration. Abstract Traumatic brain injury (TBI) is a common disorder of the nervous system and has become a leading cause of death and disability worldwide, imposing a substantial burden on patients and their social circles. Its main symptoms include dyskinesia, language
Xuting Shen +8 more
wiley +1 more source
A spatio-temporal self-supervised meta-learning network with dynamic graph learning for traffic flow forecasting. [PDF]
Qiu Q, Huang Y, Huang X, Zhou W.
europepmc +1 more source
Spatiotemporal-decoupled interactive learning for traffic flow prediction. [PDF]
Chen L, Wu Q.
europepmc +1 more source
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
Maritime traffic congestion identification and ship trajectory prediction using temporal graph convolutional networks. [PDF]
Zhou W, Zhang W, Sun S, Zhang Y.
europepmc +1 more source

