Results 81 to 90 of about 154,459 (280)
Advanced Science, EarlyView.We introduce AutomataGPT, a generative pretrained transformer (GPT) trained on synthetic spatiotemporal data from 2D cellular automata to learn symbolic rules. Demonstrating strong performance on both forward and inverse tasks, AutomataGPT establishes a scalable, domain‐agnostic framework for interpretable modeling, paving the way for future ...
Jaime A. Berkovich +2 more
wiley +1 more source
Research on the effectiveness of different neural network models in traffic flow prediction
Transportation and Information Technologies in RussiaThis paper compares the effectiveness of support vector machine (SVM), convolutional neural network-long short-term memory (CNN-LSTM), and support vector machine-long short-term memory (SVM-LSTM) models for traffic flow prediction in intelligent ...
Jixiao Jiang
doaj +1 more source
Short-Term Traffic Prediction by Two-Level Data Driven Model in 5G-Enabled Edge Computing Networks
IEEE Access, 2019 Real-time and accurate short-term traffic prediction can effectively improve traffic efficiency, reduce accidents, and facilitate relevant departments to take reasonable traffic guidance measures.
Yupin Huang +4 more
doaj +1 more source
Advanced Science, EarlyView.An autologous whole‐tumor‐cell vaccine (rWTC‐MBTA) is evaluated in murine CNS lymphoma. Subcutaneous vaccination activates dendritic cells, broadens T‐cell priming, and drives lymphocyte trafficking to brain tumors, producing durable tumor control. Longitudinal bioluminescence and adoptive‐transfer assays verify CNS engagement. Combination with anti‐PD‐
Yaping Zhang +10 more
wiley +1 more source
IEEE Access, 2019 Accurate short-term traffic forecasts help people choose transportation and travel time. Through the query data, many models for traffic flow prediction have neglected the temporal and spatial correlation of traffic flow, so that the prediction accuracy ...
Guowen Dai, Changxi Ma, Xuecai Xu
doaj +1 more source
Advanced Science, EarlyView.This work develops dynamically softening polyacrylamide hydrogels for time‐resolved imaging during continuous mechanical transitions. The study revealed that mechanotransduction is biphasic; YAP/TAZ inactivation is driven by early loss of the nucleocytoskeletal continuum connecting subnuclear adhesions, F‐actin, and the nuclear envelope, coupled with ...
Alessandro Gandin +12 more
wiley +1 more source
IEEE Access, 2019 Traffic flow exhibits different magnitudes of temporal patterns, such as short-term (daily and weekly) and long-term (monthly and yearly). Existing research into road traffic flow prediction has focused on short-term patterns; little research has been ...
Zoe Bartlett +3 more
doaj +1 more source
Advanced Science, EarlyView.Antibody–drug conjugates (ADCs) transform breast cancer therapy, yet resistance limits their durability. Emerging evidence reveals that ADC failure is not solely tumor‐intrinsic but shaped by dynamic tumor–microenvironment interactions that alter drug delivery, processing, and response.
Minji Seo, Jangsoon Lee, Naoto T. Ueno
wiley +1 more source
Advanced Science, EarlyView.This study established an RT‐MSCs‐based therapeutic approach for scleroderma in mice. RT‐MSCs attenuated fibrosis by regulating mitochondrial autophagy and restored gut microbiota homeostasis. Metabolomic analyses confirmed recovery of key metabolites, and RT‐MSCs demonstrated favorable lesion targeting and safety profiles.
Xue Xia +5 more
wiley +1 more source
Advanced Science, EarlyView.This review examines emerging combination immunotherapy strategies tailored to distinct tumor microenvironments and highlights next‐generation biomarkers that guide response prediction and treatment personalization. It integrates lessons from unsuccessful trials, addresses toxicity challenges, and outlines approaches for early biomarker discovery and ...
Asmita Pandey +6 more
wiley +1 more source