Results 31 to 40 of about 5,831 (221)
Phase Engineering of Atomically Precise Nanoclusters (APNCs) of Gold and Beyond
Engineering the structural phase of materials is of paramount importance for both fundamental research and practical applications. In this Review, we summarize the recent progress in controlling the phases of atomically precise nanoclusters (APNCs) of gold, silver and copper, as well as bimetallic systems. The phase‐enabled material properties of APNCs
Yitong Wang +4 more
wiley +1 more source
Echinoderm‐Inspired Autonomy for Soft‐Legged Robots
Inspired by echinoderms, a modular soft robot achieves autonomous phototaxis without a central controller or explicit communication. Each limb independently adapts its actuation timing through local sensing and short‐term memory. Coordination emerges purely from physical interactions, demonstrating resilience to changes in morphology, environment, and ...
Harmannus A. H. Schomaker +2 more
wiley +1 more source
Entity classification, like many other important problems in NLP, involves learning classifiers over sparse high-dimensional feature spaces that result from the conjunction of elementary fea-tures of the entity mention and its context.
Ariadna Quattoni +2 more
core +1 more source
Chromosomal Instability Drives Glioblastoma Heterogeneity and Therapeutic Opportunities
ABSTRACT Glioblastoma, the most aggressive and lethal form of brain cancer, is defined by profound genomic instability, with Chromosomal Instability (CIN) playing a central role in driving tumor progression, therapy resistance, and poor prognosis. CIN is characterized by numerical and structural alterations, is driven by mechanisms such as mitotic ...
Amarnath Pal +3 more
wiley +1 more source
Entity resolution approaches for data quality [PDF]
Entity resolution is a key aspect of data quality, identifying which records correspond to the same real world entity in data sources. Entity resolution is a hot topic in both research communities and industries.
Derong, Shen, Chenchen, Sun
core
Nitrosyl heme emerges as an extracellular nitrodilator that dilates arteries without crossing the cell membrane. Instead, heme‐NO mobilizes NO moieties from a preformed intracellular NO store within vascular smooth muscle, providing both functional and chemical evidence for the NANOS model, revealing a previously unrecognized mechanism of arterial ...
Taiming Liu +9 more
wiley +1 more source
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
Machine-learning methods for text named entity recognition [PDF]
The article describes machine learning methods for the named entity recognition. To build named entity classifiers two basic models of machine learning, The Naїve Bayes and Conditional Random Fields, were used.
Marchenko, O.O.
core
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
Combining classifiers by majority voting (MV) has recently emerged as an effective way of improving performance of individual classifiers. However, the usefulness of applying MV is not always observed and is subject to distribution of classification ...
Ruta, Dymitr, Gabrys, Bogdan
core

