Results 131 to 140 of about 387,911 (299)

Full‐Body AI Agent: A Perspective on Multi‐Scale Collaborative AI for Systemic Biology and Precision Medicine

open access: yesAdvanced Science, EarlyView.
We propose the Full‐Body AI Agent, a multi‐scale collaborative framework with 7 biological‐layer agents. It unifies multi‐omics/clinical data via standardized protocols, enabling phenotype‐guided closed‐loop reasoning, quantitative evaluation, and LLM safeguards, with promising applications in tumor metastasis modeling and precision drug development ...
Aoqi Wang   +11 more
wiley   +1 more source

Formal software measurements for object-oriented business models. [PDF]

open access: yes
This paper presents a set of metrics and pseudo-metrics for the measurement of conceptual distances in M.E.R.O.D.E. business models. The measures are developed and validated using measure and measurement theory.
Dedene, Guido, Poels, Geert
core  

Targeting Supramolecular Active Complexes of Nav1.7/Nav1.8 to Relieve Chronic Neuropathic Pain

open access: yesAdvanced Science, EarlyView.
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

Large and Small models for collaborative cross-lingual data augmentation in entity relationship extraction for low-resource languages

open access: yesJournal of King Saud University: Computer and Information Sciences
Entity relationship extraction tasks conducted in low-resource language domains (such as the medical and military domains) have long faced significant challenges, and data augmentation (DA) is considered an effective solution for addressing this issue ...
Yurong Wang   +5 more
doaj   +1 more source

Multi-entity Models

open access: yes, 1995
In a seminal paper, McCarthy and Hayes (1969) suggested first order logic as a basis for knowledge representation and reasoning about action. They considered, and rejected, a model of interacting automata as being epistemologically inadequate.
Moshe Tennenholtz, Yoram Moses
core  

NQO1‐Mediated Anoikis Resistance and Immune Evasion Define a High‐Risk Multi‐Omic Subtype for Precision Management of T1 High‐Grade Bladder Cancer

open access: yesAdvanced Science, EarlyView.
Multi‐omic profiling of T1 high‐grade bladder cancer identifies a high‐risk subtype (T1HG1) driven by NQO1, which couples anoikis resistance with immune evasion. NQO1 orchestrates macrophage–T cell crosstalk suppression via CXCL9 modulation. Pharmacological NQO1 inhibition with skullcapflavone II enhances cisplatin efficacy, representing a promising ...
Bin Guo   +20 more
wiley   +1 more source

ML Workflows for Screening Degradation‐Relevant Properties of Forever Chemicals

open access: yesAdvanced Science, EarlyView.
The environmental persistence of per‐ and polyfluoroalkyl substances (PFAS) necessitates efficient remediation strategies. This study presents physics‐informed machine learning workflows that accurately predict critical degradation properties, including bond dissociation energies and polarizability.
Pranoy Ray   +3 more
wiley   +1 more source

Single‐Particle Mid‐Infrared Photothermal Imaging Reveals Hidden Heterogeneity in Real‐World Micro‐ and Nanoplastics

open access: yesAdvanced Science, EarlyView.
Mid‐infrared photothermal imaging enables multidimensional profiling of micro‐ and nanoplastics in bottled water. A total of 9.9 × 104 particles L−1 is detected, with 64% in the nanoscale regime. Spectral evolution, including peak narrowing and band shifts, reveals local chain reorganization in polyethylene terephthalate (PET), highlighting intrinsic ...
Xinyu Deng   +4 more
wiley   +1 more source

Efficient Screening of Organic Singlet Fission Molecules Using Graph Neural Networks

open access: yesAdvanced Science, EarlyView.
A high‐throughput screening framework based on graph neural networks (GNNs) and multi‐level validation facilitates the identification of singlet fission (SF) candidates. By efficiently predicting excitation energies across 20 million molecules, and integrating TDDFT calculations, synthetic accessibility assessments, and GW+BSE calculations, this ...
Li Fu   +5 more
wiley   +1 more source

Multifunctional Eutectic Mixtures Enable Integrated Recovery of U, Pu, and Sr From Nuclear Waste

open access: yesAdvanced Science, EarlyView.
A novel class of multifunctional eutectic mixtures, crafted from crown ether and organophosphorus molecules, achieves highly efficient, simultaneous recovery of uranium, plutonium, and strontium from nuclear waste. The material operates via a dual “coordination‐encapsulation” mechanism within self‐assembled reverse‐micelle structures, offering a ...
Yifan Wang   +8 more
wiley   +1 more source

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