Results 91 to 100 of about 8,791,803 (307)
CLRe: A Synergistic Dual‐Engine Framework for One‐Step Retrosynthesis Prediction
Advanced Science, EarlyView.CLRe uses a contrastive difficulty score to order pretrained seq2seq fine‐tuning for retrosynthesis. Reaction embeddings define the ranking score, and a cumulative easy‐to‐hard schedule expands from the easiest subset to the full training set while earlier examples remain active.
Tianhao Su +5 more
wiley +1 more source
Towards a Syntax-Semantics Interface for Latin
Catalan Journal of Linguistics, 2017 Latin is often cited as a typical example of a free word order language. Free word order inevitably complicates the compositional semantics for any theory in which functions are lexically defined to take their arguments in a fixed order.
Andrew M. Devine, Laurence D. Stephens
doaj +1 more source
A new theory of space syntax [PDF]
, 2004 Relations between different components of urban structure are often measured in aliteral manner, along streets for example, the usual representation being routesbetween junctions which form the nodes of an equivalent planar graph.
Batty, M
core
Controllable Superconductivity in Suspended NbSe2
Advanced Electronic Materials, EarlyView.Suspended NbSe2${\rm NbSe}_2$ provides two complementary routes for controlling superconducting transport. Gate‐driven deformation strains the suspended crystal and tunes its critical temperature and current. Weak thermal anchoring enhances thermal feedback, contributing to multistep hysteresis and negative differential resistance.
Ruihuan Fang +14 more
wiley +1 more source
A Unified Morphosyntactic Analysis of Reduplication as Inclusion
LanguagesThis paper proposes a unified analysis of reduplication as the lexical spell-out of a relational part–whole/inclusion predicate (⊆) in morphosyntax. Adopting the framework of Manzini and colleagues, we argue that reduplicative morphology—across diverse ...
Ludovico Franco, Paolo Lorusso
doaj +1 more source
SYNTAX ERRORS ON THE ESSAY WRITINGS OF EXTROVERT AND INTROVERT EFL LEARNERS
Lingua Didaktika: Jurnal Bahasa dan Pembelajaran Bahasa, 2016 The main purpose of this study was to investigate syntactic errors on extrovert and introvert EFL learners’ essay writing. The data were collected by classification technique from 20 essay writings of EFL learners (10 extroversions and 10 introversions ...
Zainuddin Zainuddin
doaj +1 more source
When Biology Meets Medicine: A Perspective on Foundation Models
Advanced Intelligent Discovery, EarlyView.Artificial intelligence, and foundation models in particular, are transforming life sciences and medicine. This perspective reviews biological and medical foundation models across scales, highlighting key challenges in data availability, model evaluation, and architectural design.
Kunying Niu +3 more
wiley +1 more source
Can preschoolers learn the syntax of number? Using rules to combine familiar and novel number words
Philosophical Transactions of the Royal Society B: Biological SciencesAlthough children can combine words to express meanings like “red house” or “two cats”, they do not represent number words compositionally (e.g., “twenty-six” as 6+20) until late in development. One reason for this might be that smaller number words in most languages are not composed via rules, limiting children’s exposure to the syntactic structure ...
Sebastian Holt, David Barner
openaire +2 more sources
, 2023 The purpose of this study is to determine the effectiveness of the implementation of mentoring activities of the principal in strengthening character education for improving learning at Al-Azhar 2 Elementary School Bandar Lampung Indonesia, so that the ...
Suhartati, Tri
core +1 more source
AI‐Driven Cancer Multi‐Omics: A Review From the Data Pipeline Perspective
Advanced Intelligent Discovery, EarlyView.The exponential growth of cancer multi‐omics data brings opportunities and challenges for precision oncology. This review systematically examines AI's role in addressing these challenges, covering generative models, integration architectures, Explainable AI for clinical trust, clinical applications, and key directions for clinical translation.
Shilong Liu, Shunxiang Li, Kun Qian
wiley +1 more source