Results 41 to 50 of about 63,181 (312)
What Do Large Language Models Know About Materials?
If large language models (LLMs) are to be used inside the material discovery and engineering process, they must be benchmarked for the accurateness of intrinsic material knowledge. The current work introduces 1) a reasoning process through the processing–structure–property–performance chain and 2) a tool for benchmarking knowledge of LLMs concerning ...
Adrian Ehrenhofer +2 more
wiley +1 more source
Electronic Transitions and Recombination Mechanisms Cu-Doped CdIn₂S₄ Single Crystals
The study investigates the spectral distribution of photoconductivity, optical quenching, transient characteristics, thermally stimulated currents, and the temperature dependence of both dark and photocurrent in Cu-doped CdIn2S4 single crystals. Detailed
Zafar Kadiroglu, G.D. Abdinova
doaj +1 more source
From Lab to Landscape: Environmental Biohybrid Robotics for Ecological Futures
This Perspective explores environmental biohybrid robotics, integrating living tissues, microorganisms, and insects for operation in real‐world ecosystems. It traces the leap from laboratory experiments to forests, wetlands, and urban environments and discusses key challenges, development pathways, and opportunities for ecological monitoring and ...
Miriam Filippi
wiley +1 more source
This article analyzes the problems of the imposition of liability on a director of a legal entity. The essence and objectives of the restriction of the right to hold the position of a director of a public and (or) private legal entity or to be a member ...
Audronė Balsiukienė
doaj +1 more source
LEGAL POSITION OF LEGAL ENTITIES AND PUBLIC ENTITIES AS SUBJECTS PLEDGE LEGAL RELATIONS
The article deals with particular ways of participation of legal entities and public entities in pledge legal relations, as well as specificity of legal regimes of participants’ property pledge. The author puts forward proposals for unification of legal position of subjects of pledge legal relations.
openaire +1 more source
Leveraging Artificial Intelligence and Large Language Models for Cancer Immunotherapy
Cancer immunotherapy faces challenges in predicting treatment responses and understanding resistance mechanisms. Artificial intelligence (AI) and machine learning (ML) offer powerful solutions for cancer immunotherapy in patient stratification, biomarker discovery, treatment strategy optimization, and foundation model development.
Xinchao Wu +4 more
wiley +1 more source
Targeting Supramolecular Active Complexes of Nav1.7/Nav1.8 to Relieve Chronic Neuropathic Pain
In mice and patients with severe chronic neuropathic pain (NP), Nav1.7, Nav1.8, TrkB, and five cytoskeletal proteins form supramolecular active complexes (SMACs) with polygonal lattice structures as noxious signal amplifiers in dorsal root ganglion (DRG) neurons.
Liting Sun +27 more
wiley +1 more source
Generative named entity recognition framework for Chinese legal domain [PDF]
Named entity recognition (NER) is a crucial task in natural language processing, particularly challenging in the legal domain due to the intricate and lengthy nature of legal entities.
Xingliang Mao +5 more
doaj +2 more sources
Abstract World markets for quality differentiated agri‐food products are highly competitive, presenting significant challenges for firms aiming to compete effectively. Government agencies and business organizations often implement various export promotion policies to address these challenges.
Nicolás Depetris‐Chauvin +1 more
wiley +1 more source
TO THE QUESTION OF THE POSSIBILITY OF COLLECTING DEBT FROM THE LIQUIDATED LEGAL ENTITY
In this article the author considers the main ways of the termination of legal entities and does the analysis of the legislation and law-enforcement practice about a possibility of collecting debt from the liquidated legal entity.
Kareva I.D.
doaj +1 more source

