Results 171 to 180 of about 17,219 (249)

AlquistCoder: A Synthetic Data Approach to Training Compact Secure Coding Assistants and Building Security Benchmarks

Computational Intelligence, Volume 42, Issue 4, August 2026.
ABSTRACT Large language models are increasingly used as programming assistants, but their security behavior remains uneven: they may generate code with vulnerable patterns, and they may provide actionable help for malicious requests. This paper introduces AlquistCoder, a compact 3.8B‐parameter coding assistant designed to address both risks through ...
Ondřej Kobza, Adam Černý, Ivan Dostál, Jan Šedivý, Maria Rigaki, Muris Sladić, Sebastian Garcia   +6 more
wiley   +1 more source

Evaluating large language model agents for automation of atomic force microscopy. [PDF]

Nat Commun
Mandal I, Soni J, Zaki M, Smedskjaer MM, Wondraczek K, Wondraczek L, Gosvami NN, Krishnan NMA.   +7 more
europepmc   +1 more source

Small Language Models: A Systematic Review of Computational Trade‐Offs, Privacy Advantages and Deployment in Intelligent Systems

Expert Systems, Volume 43, Issue 8, August 2026.
ABSTRACT This systematic review synthesizes evidence from 68 studies, including peer‐reviewed journal articles, indexed conference/workshop proceedings and five remaining arXiv preprints published between 2022 and 2025, on small language models (SLMs) as computationally efficient alternatives to large language models (LLMs).
Sena Dikici, Turgay Tugay Bilgin
wiley   +1 more source

Chemical biology tools for studying histone post-translational modifications. [PDF]

Cell Chem Biol
Douglas CJ, Seath CP.
europepmc   +1 more source

Detecting Opioid Misuse on Social Media via Named Entity Recognition (NER) With Deep Learning

Expert Systems, Volume 43, Issue 8, August 2026.
ABSTRACT The opioid overdose epidemic constitutes a critical public health crisis, necessitating advanced surveillance tools to enable timely intervention. Social media platforms provide a real‐time source of information on drug‐related behaviours. However, extracting structured knowledge from their informal, slang‐heavy and fragmented text presents ...
Muhammad Ahmad, Rita Orji, Fida Ullah, Ildar Batyrshin, Grigori Sidorov   +4 more
wiley   +1 more source

Rapidly Benchmarking Large Language Models for Diagnosing Comorbid Patients: Comparative Study Leveraging the LLM-as-a-Judge Method. [PDF]

JMIRx Med
Sarvari P, Al-Fagih Z.
europepmc   +1 more source

Steroidogenic compensation and lipid deficiency with enhanced NAD+ salvage in small‐for‐gestational‐age placenta

The FEBS Journal, Volume 293, Issue 15, Page 4554-4577, August 2026.
Fetal growth restriction is associated with placental metabolic adaptations. In small‐for‐gestational‐age placenta (SGA), cholesterol receptors and steroidogenic enzymes are upregulated, enhancing steroidogenesis. NAD salvage pathway is also increased to support NADP+/NADPH requirements.
Serena Xodo, Lorenza Driul, Vanessa Tolotto, Eros Di Giorgio, Luigi E. Xodo   +4 more
wiley   +1 more source

3D T1 turbo spin echo improves detection of gadolinium-enhancing multiple-sclerosis lesions. [PDF]

Insights Imaging
Naval-Baudin P, Bermúdez Bravo WF, Pineda-Borja VI, Arroyo-Pereiro P, Martínez-Zalacaín I, Romero-Pinel L, Mora P, Calvo N, Martínez-Yélamos A, Martínez-Yélamos S, Cos M, Pons-Escoda A, Majós C.   +12 more
europepmc   +1 more source

CNGCs in Marchantia paleacea uncouple arbuscular mycorrhizal symbiosis and rhizoid development

New Phytologist, Volume 251, Issue 4, Page 2027-2040, August 2026.
Rhizoid growth and AM fungal infection are uncoupled. Summary In Marchantia paleacea, MpaDMI1‐dependent nuclear Ca2+ oscillations are essential for arbuscular mycorrhizal (AM) fungal colonisation, indicating that endosymbiosis‐mediated nuclear Ca2+ signalling is a conserved feature of land plant–AM symbiosis.
Anson Ho Ching Lam, Aisling Cooke, Jake Richardson, Myriam Charpentier   +3 more
wiley   +1 more source

Benchmarking transformer-based models for medical record de-identification in a single center multi-specialty evaluation. [PDF]

iScience
Kuo R, Soltan AAS, O'Hanlon C, Hasanic A, Clifton DA, Collins G, Furniss D, Eyre DW.   +7 more
europepmc   +1 more source