Results 231 to 240 of about 1,234,147 (346)

Large-vocabulary forensic pathological analyses via prototypical cross-modal contrastive learning. [PDF]

Nat Commun
Shen C, Lian C, Zhang W, Wang F, Zhang J, Fan S, Wei X, Wang G, Li K, Mu H, Wu H, Liang X, Ma J, Wang Z.   +13 more
europepmc   +1 more source

5028) Architectural Modality of the Shiogama Shrine : on A Mixture of Shintoism and Buddhism(Theory of Architecture, Architectural History)

, 1963
Hideya Yokoyama
openalex   +2 more sources

Test anxiety, input modality, and levels of organization in free recall [PDF]

, 1977
John H. Mueller
openalex   +1 more source

Commentary on “The Impact of Diabetes and Metabolic Syndrome Burden on Pain, Neuropathy Severity and Fiber Type”

Annals of Clinical and Translational Neurology, EarlyView.
Majid Khalilizad, Ebrahim Hejazian, Mohammad Barary, Mostafa Javanian, Soheil Ebrahimpour   +4 more
wiley   +1 more source

Chronic Opioids in Gout: A Matched Cohort Study from the Veteran's Health Administration

Arthritis Care &Research, Accepted Article.
Objective Though used frequently to treat flare, risk of chronic opioid exposure in gout has not been well defined. In this study, we examined the hypothesis that people with gout are more likely than individuals without gout to be prescribed chronic opioids over time.
Lindsay N. Helget, Bryant R. England, Punyasha Roul, Harlan Sayles, Tuhina Neogi, James R. O'Dell, Joshua F. Baker, Ted R. Mikuls   +7 more
wiley   +1 more source

A Multimodal Semantic-Enhanced Attention Network for Fake News Detection. [PDF]

Entropy (Basel)
Chen W, Dang Y, Zhang X.
europepmc   +1 more source

CROSS-MODAL CONDITIONAL DISCRIMINATION LEARNING IN JAPANESE MONKEYS

, 1968
Juro Kawachi
openalex   +2 more sources

COPD-MMDDxNet: a multimodal deep learning framework for accurate COPD diagnosis using electronic medical records. [PDF]

Front Med (Lausanne)
Yi Y, Shi L, Liu H, Wang M, Feng M, Li Y.   +5 more
europepmc   +1 more source

Cross-modal transfer of stimulus control in the albino rat: A stimulus delay procedure [PDF]

, 1976
James S. MacDonall, Henry Marcucella
openalex   +1 more source

Data‐driven forecasting of ship motions in waves using machine learning and dynamic mode decomposition

International Journal of Adaptive Control and Signal Processing, EarlyView.
Summary Data‐driven forecasting of ship motions in waves is investigated through feedforward and recurrent neural networks as well as dynamic mode decomposition. The goal is to predict future ship motion variables based on past data collected on the field, using equation‐free approaches.
Matteo Diez, Mauro Gaggero, Andrea Serani   +2 more
wiley   +1 more source