Results 81 to 90 of about 4,329,486 (294)

Discovering Photoswitchable Molecules for Drug Delivery with Large Language Models and Chemist Instruction Training

open access: yesPharmaceuticals
Background: As large language models continue to expand in size and diversity, their substantial potential and the relevance of their applications are increasingly being acknowledged. The rapid advancement of these models also holds profound implications
Junjie Hu   +7 more
doaj   +1 more source

Multilingual Speech Recognition With A Single End-To-End Model

open access: yes, 2018
Training a conventional automatic speech recognition (ASR) system to support multiple languages is challenging because the sub-word unit, lexicon and word inventories are typically language specific.
Li, Bo   +6 more
core   +1 more source

Structural biology of ferritin nanocages

open access: yesFEBS Letters, EarlyView.
Ferritin is a conserved iron‐storage protein that sequesters iron as a ferric mineral core within a nanocage, protecting cells from oxidative damage and maintaining iron homeostasis. This review discusses ferritin biology, structure, and function, and highlights recent cryo‐EM studies revealing mechanisms of ferritinophagy, cellular iron uptake, and ...
Eloise Mastrangelo, Flavio Di Pisa
wiley   +1 more source

The dynamic model of writing and its implications for the FL classroom [PDF]

open access: yes, 2011
The dynamic model of writing proposed by Matsuda (1997) is intended to visualize the complexity of interrelationships between the writer, text, and reader in second language writing instruction.
Salski, Łukasz
core  

Linking neurogenesis, oligodendrogenesis, and myelination defects to neurodevelopmental disruption in primary mitochondrial disorders

open access: yesFEBS Letters, EarlyView.
Mitochondrial remodeling shapes neural and glial lineage progression by matching metabolic supply with demand. Elevated OXPHOS supports differentiation and myelin formation, while myelin compaction lowers mitochondrial dependence, revealing mitochondria as key drivers of developmental energy adaptation.
Sahitya Ranjan Biswas   +3 more
wiley   +1 more source

DP-CCL: A Supervised Contrastive Learning Approach Using CodeBERT Model in Software Defect Prediction

open access: yesIEEE Access
Software Defect Prediction (SDP) reduces the overall cost of software development by identifying the code at a higher risk of defects at the initial phase of software development.
Sadia Sahar   +3 more
doaj   +1 more source

Organizing the interface—Plasma membrane architecture and receptor dynamics in virus‐cell interactions

open access: yesFEBS Letters, EarlyView.
Plasma membranes contain dynamic nanoscale domains that organize lipids and receptors. Because viruses operate at similar scales, this architecture shapes early infection steps, including attachment, receptor engagement, and entry. Using influenza A virus and HIV‐1 as examples, we highlight how receptor nanoclusters, multivalent glycan interactions ...
Jan Schlegel, Christian Sieben
wiley   +1 more source

LPBERT: A Protein–Protein Interaction Prediction Method Based on a Pre-Trained Language Model

open access: yesApplied Sciences
The prediction of protein–protein interactions is a key task in proteomics. Since protein sequences are easily available and understandable, they have become the primary data source for predicting protein–protein interactions.
An Hu, Linai Kuang, Dinghai Yang
doaj   +1 more source

Towards a Unified Model of Language Acquisition [PDF]

open access: yes, 2007
In this theoretical paper, we first review and rebut standard criticisms against distributional approaches to language acquisition. We then present two closely-related models that use distributional analysis.
Freudenthal, D, Gobet, F, Pine, J M
core  

A structured language model [PDF]

open access: yesProceedings of the 35th annual meeting on Association for Computational Linguistics -, 1997
The paper presents a language model that develops syntactic structure and uses it to extract meaningful information from the word history, thus enabling the use of long distance dependencies. The model assigns probability to every joint sequence of words - binary-parse-structure with headword annotation.
openaire   +2 more sources

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