Results 111 to 120 of about 4,329,486 (294)

Digital twins to accelerate target identification and drug development for immune‐mediated disorders

open access: yesFEBS Open Bio, EarlyView.
Digital twins integrate patient‐derived molecular and clinical data into personalised computational models that simulate disease mechanisms. They enable rapid identification and validation of therapeutic targets, prediction of drug responses, and prioritisation of candidate interventions.
Anna Niarakis, Philippe Moingeon
wiley   +1 more source

Statistical feature language model

open access: yesInterspeech 2004, 2004
Statistical language models are widely used in automatic speech recognition in order to constrain the decoding of a sentence. Most of these models derive from the classical n-gram paradigm. However, the production of a word dends on a large set of linguistic features : lexical, syntactic, semantic, etc.
Smaïli, Kamel   +3 more
openaire   +3 more sources

Rapid screening of staphylokinase protein variants using an unpurified cell‐free expression system

open access: yesFEBS Open Bio, EarlyView.
An unpurified cell‐free protein synthesis (CFPS) platform enables rapid functional screening of staphylokinase variants. Direct plasminogen‐activation assays performed in microplate format provide real‐time activity readouts, allowing rapid identification and ranking of variants with improved or reduced fibrinolytic activity without protein ...
Maria Tomková   +3 more
wiley   +1 more source

Combined 5‐aminolevulinic acid and ferric ammonium citrate treatment promotes hair follicle growth by activating dermal papilla cells

open access: yesFEBS Open Bio, EarlyView.
5‐Aminolevulinic acid combined with ferric ammonium citrate (5‐ALA/FAC) stimulates dermal papilla cell activity and promotes hair follicle growth. The treatment enhances ERK and AKT signaling, increases hair‐inductive gene expression, and restores dermal papilla function suppressed by dihydrotestosterone and oxidative stress, resulting in enhanced hair
Han‐Wook Ryu, Eok‐Soo Oh, Sewoon Kim
wiley   +1 more source

QARR-QGF: A Dual-Module Data Augmentation Framework for Enhanced Few-Shot Question Answering

open access: yesIEEE Access
Few-shot question answering (QA) aims to train effective QA models using very limited annotated data, but existing approaches often struggle to generalize due to insufficient training examples. This paper proposes a two-stage data augmentation framework,
Siao Wah Tan   +3 more
doaj   +1 more source

Selecting Informative Contexts Improves Language Model Finetuning

open access: yes, 2020
We present a general finetuning meta-method that we call information gain filtration for improving the overall training efficiency and final performance of language model finetuning.
Antonello, Richard   +2 more
core  

Language Models as Models of Language

open access: yes
This chapter critically examines the potential contributions of modern language models to theoretical linguistics. Despite their focus on engineering goals, these models' ability to acquire sophisticated linguistic knowledge from mere exposure to data warrants a careful reassessment of their relevance to linguistic theory.
openaire   +2 more sources

The skills required for transition to university and study in biological sciences: A student perspective

open access: yesFEBS Open Bio, EarlyView.
Bioscience students were asked for their opinions on the value and teaching of skills. 204 responded that teamwork, time management and study skills are necessary to reach University, that scientific writing, research, laboratory and presentation skills are taught effectively during their studies, while other skills are gained inherently through study ...
Janella Borrell, Susan Crennell
wiley   +1 more source

Hybrid DNN-HMM-Based Approach for Telugu Language Speech Recognition

open access: yesIEEE Access
In this paper, we discuss our research work in Telugu Indian language speech data for building a large language vocabulary to build Telugu speech recognition system.
M. Rama Rajeswari   +1 more
doaj   +1 more source

Mass spectrometry based identification of AMP‐O‐Tris generated by Thermococcus onnurineus Cas10

open access: yesFEBS Open Bio, EarlyView.
Isolated Thermococcus onnurineus Cas10 generates the noncanonical ATP‐derived product AMP‐O‐Tris while in Tris‐containing buffer as identified via mass spectrometry, revealing relaxed nucleophile selectivity under isolated conditions. These findings suggest that multiprotein Csm complex assembly restricts Cas10 reactivity toward canonical cyclic ...
Su‐Jin Lee   +6 more
wiley   +1 more source

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