Results 141 to 150 of about 154,707 (286)
A combined model for short-term traffic flow prediction based on variational modal decomposition and deep learning. [PDF]
Ren C, Fu F, Yin C, Lu L, Cheng L.
europepmc +1 more source
Exosomes are emerging as powerful biomarkers for disease diagnosis and monitoring. This review highlights the integration of surface‐enhanced Raman spectroscopy with artificial intelligence to enhance molecular fingerprinting of exosomes. Machine learning and deep learning techniques improve spectral interpretation, enabling accurate classification of ...
Munevver Akdeniz +2 more
wiley +1 more source
A Short-Term Traffic Flow Prediction Method Based on Personalized Lightweight Federated Learning. [PDF]
Dai G, Tang J.
europepmc +1 more source
Short Term Traffic Flow Prediction Using Deep Learning Approach
Intelligent transportation systems helps travellers reach their destination at an estimated time. Smart cities have deployed latest technologies to satisfy the needs of travellers through efficient navigation. Adverse weather conditions may lead to increase in traffic congestion as well as accidents.
openaire +1 more source
Human‐Machine Mutual Trust Based Shared Control Framework for Intelligent Vehicles
This work introduces a bidirectional‐trust‐driven shared control framework for human‐machine co‐driving. The method models human‐to‐machine trust from intention discrepancies and Bayesian skill assessment, and machine‐to‐human trust from integrated ability evaluation.
Zhishuai Yin +4 more
wiley +1 more source
A Murine Bispecific Antibody Efficiently Redirects T Cells Against Calr Mutated Stem Cells In Vivo
ABSTRACT Calreticulin (CALR) mutations are prevalent in 20%–30% of patients with BCR::ABL1‐negative myeloproliferative neoplasms (MPN). Mutant calreticulin (mutCALR), presented by the thrombopoietin receptor (MPL, also known as TPOR or CD110) on the surface of the disease‐initiating MPN progenitors, represents an ideal target for curative ...
Shengen Xiong +5 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 We describe a novel homozygous intragenic deletion in the ALS2 gene in an 8‐year‐old boy with Infantile‐onset Ascending Hereditary Spastic Paraplegia (IAHSP) and oculomotor apraxia, thereby contributing to the expanding genetic landscape of ALS2‐related disorders.
Vito Luigi Colona +15 more
wiley +1 more source
Mucin Glycoprotein Nanoparticles Enable a Selective Antisense Therapy for Oncogenic MicroRNAs
Mucin glycoproteins are turned into nanoparticles by employing synthetic DNA strands, which have a dual function: they stabilize the nanoparticles and act as binding sites for intracellular miRNA‐21. Thus, upon internalization into tumor cells, these mucin nanoparticles can deplete miRNA‐21 from the cytosol, which induces apoptosis in vitro and in vivo.
Ceren Kimna +9 more
wiley +1 more source
This review highlights how autoimmune diseases arise from intertwined immunological, genetic, and environmental factors, emphasizing gut microbiota dysbiosis as a pivotal driver. It outlines emerging nanotechnology‐based strategies—such as liposomes, hydrogels, and polymeric nanoparticles—that enhance targeted drug delivery, minimize systemic toxicity,
Md. Meraj Ansari +5 more
wiley +1 more source

