Results 31 to 40 of about 1,018 (122)

Detecting and Modeling Emotional Landscapes Through Deep Learning, GPT‐4.1, and 3D Spatial Interpolation

open access: yesTransactions in GIS, Volume 30, Issue 1, February 2026.
ABSTRACT This research provides new directions in conceptualizing emotional geographies at the landscape level using a combination of textual deep learning (DL) and GPT‐based spatial emotion detection and interpolation using 3D empirical Bayesian kriging.
Christopher J. Anderson
wiley   +1 more source

Phospholipid Interconversion and Transport Are Altered in Glaucoma

open access: yesThe FASEB Journal, Volume 40, Issue 2, 31 January 2026.
Decreased phosphatidylserine (PS) and increased phosphatidylethanolamine (PE) occur in both trabecular meshwork (TM) cells and aqueous humor due to aberrant phosphatidylserine decarboxylase (PSD) over‐expression, and variation in levels of individual PS or PE species differing by only a few acyl chains occurs due to impaired lipid transport due to ...
Genea Edwards   +5 more
wiley   +1 more source

Practical arbitrary lookahead LR parsing

open access: yesJournal of Computer and System Sciences, 1990
zbMATH Open Web Interface contents unavailable due to conflicting licenses.
University of Florida, Gainesville, Florida 32611, USA ( host institution )   +2 more
openaire   +2 more sources

Predicting Immunotherapy Outcomes in NSCLC Using RNA and Pathology from Multicenter Clinical Trials

open access: yesAdvanced Science, Volume 13, Issue 3, 14 January 2026.
LIRA, a machine learning‐based model, is developed using transcriptomic data from 891 NSCLC patients in the OAK and POPLAR cohorts. Its predictive performance is validated in multiple external cohorts. Patients stratified by LIRA‐score exhibit distinct clinical characteristics and tumor microenvironment profiles.
Zhaojun Wang   +32 more
wiley   +1 more source

(Generalized) LR parsing

open access: yes, 1991
This paper is a short introduction to the research in LR parsing and its applications. It is concerned with the history of LR grammars and languages, LR parsing and parser optimization, generaliza­tions of the LR grammar definition and pars­ing method, automatic parser construction, error handling and LR parsing for natural language.
openaire   +3 more sources

Threshold Effects of Maternal Vitamin C in Late Pregnancy on Infant Social Competence: A Nonlinear Dose‐Response Analysis in a Birth Cohort

open access: yesFood Science &Nutrition, Volume 14, Issue 1, January 2026.
This prospective cohort study analysing 442 mother‐offspring pairs reveals a nonlinear dose‐response relationship between late‐pregnancy serum vitamin C concentration and early offspring social competence. The strongest association was observed at low concentrations (≤ 4.9 μmol/L, β = 0.654/μmol), with diminishing effects at moderate levels (4.9–49 ...
Cui Li, Ji Jiafen, Ni Juan, Li Rui xiang
wiley   +1 more source

On LR Parsing with Selective Delays [PDF]

open access: yes, 2013
The paper investigates an extension of LR parsing that allows the delay of parsing decisions until a sufficient amount of context has been processed. We provide two characterizations for the resulting class of grammars, one based on grammar transformations, the other on the direct construction of a parser.
Bertsch, Eberhard   +2 more
openaire   +1 more source

Reconstruction and Projection of Near‐Surface Wind Speed in China Based on Transformer Neural Network

open access: yesAdvances in Meteorology, Volume 2026, Issue 1, 2026.
Accurate projection of wind speed is essential for assessing wind energy resources and strategically planning future energy development. However, current Global Climate Models (GCMs) display discrepancies between simulated and observed near‐surface wind speed (NSWS), which limits the precise evaluation of wind energy potential.
Yanjun Lyu   +5 more
wiley   +1 more source

Incremental scannerless generalized LR parsing

open access: yesProceedings Companion of the 2019 ACM SIGPLAN International Conference on Systems, Programming, Languages, and Applications: Software for Humanity, 2019
We present the Incremental Scannerless Generalized LR (ISGLR) parsing algorithm, which combines the benefits of Incremental Generalized LR (IGLR) parsing and Scannerless Generalized LR (SGLR) parsing. The parser preprocesses the input by modifying the previously saved parse forest.
openaire   +2 more sources

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