Results 161 to 170 of about 2,427,716 (339)

A General Information Extraction Framework Based on Formal Languages [PDF]

Markus L. Schmid
openalex   +1 more source

Foundation Model‐Enabled Multimodal Deep Learning for Prognostic Prediction in Colorectal Cancer with Incomplete Modalities: A Multi‐Institutional Retrospective Study

Advanced Science, EarlyView.
FLARE, a multimodal AI framework, combines pathology slides, radiology scans, and clinical reports to predict colorectal cancer outcomes, even when some tests are missing. Evaluated retrospectively in 1679 patients from four medical centers, it consistently achieved the best prognostic accuracy and clearly separated high‐ and low‐risk groups.
Linhao Qu, Chengsheng Zhang, Yingyong Hou, Feng Tang, Weiqi Sheng, Dan Huang, Zhijian Song   +6 more
wiley   +1 more source

The use of formal language as a strong sign of verbal autistic children in diglossic communities: The case of Arabic. [PDF]

Autism Res
Francis K, Alshammari N, Alsulaihim N, Aboukhamseen S, El Dardiri M, AlRashidi F, Ridha HA, Al-Hassan M, Terzi A.   +8 more
europepmc   +1 more source

Do Construction Distributions Shape Formal Language Learning In German BabyLMs? [PDF]

Bastian Bunzeck, Daniel Durán, Sina Zarrieß   +2 more
openalex   +1 more source

Precision Editing of NLRS Improves Effector Recognition for Enhanced Disease Resistance

Advanced Science, EarlyView.
Precision engineering of plant NLR immune receptors enables rational design of enhanced pathogen resistance through mismatched pairing, domain swapping, and targeted mutagenesis. These approaches achieve multi‐fold expansion in recognition breadth while minimizing autoimmunity risks and fitness penalties.
Vinit Kumar, Vishwa I. P. W. A. Kumara, Pradeepa C. G. Bandaranayake, Dong Yawen, Yang‐Yang Gao, Junfeng Liu, Ge‐Fei Hao, Xiu‐Fang Xin   +7 more
wiley   +1 more source

THE FORMAL CRITERION OF LOGICAL TRUTH OF NATURAL LANGUAGE STATEMENTS

, 2001
Ihor Dutsiak
openalex   +2 more sources

MGM as a Large‐Scale Pretrained Foundation Model for Microbiome Analyses in Diverse Contexts

Advanced Science, EarlyView.
We present the Microbial General Model (MGM), a transformer‐based foundation model pretrained on over 260,000 microbiome samples. MGM learns contextualized microbial representations via self‐supervised language modeling, enabling robust transfer learning, cross‐regional generalization, keystone taxa discovery, and prompt‐guided generation of realistic,
Haohong Zhang, Yuli Zhang, Zixin Kang, Jiayun Xiong, Ronghua Yang, Kang Ning   +5 more
wiley   +1 more source

Formal Language Theoretic Approach to the Disclosure Tree Strategy in Trust Negotiation

, 2009
Yoshiaki Takata, Hiroyuki Seki
openalex   +2 more sources

Compiler generation using formal specification of procedure-oriented and machine languages [PDF]

, 1967
Philip Gilbert, William G. McLellan
openalex   +1 more source