Results 181 to 190 of about 140,683 (272)

An astronomical question answering dataset for evaluating large language models. [PDF]

Sci Data
Li J, Zhao F, Chen P, Xie J, Zhang X, Li H, Chen M, Wang Y, Zhu M.   +8 more
europepmc   +1 more source

Classification of astronomical sources through Machine Learning techniques

, 2019
RESUMEN: En este proyecto, se han utilizado técnicas de Machine Learning no supervisado para realizar tareas clasificatorias de diferentes tipos de fuentes astronómicas. En concreto, se han tomado de diferentes catálogos datos fotométricos para longitudes de onda en las regiones del infrarrojo cercano e infrarrojo medio.
openaire   +1 more source

A Scoping Review and Bibliometric Analysis on Smart Firefighting in Buildings and Infrastructures

Fire and Materials, EarlyView.
ABSTRACT Smart Firefighting is a concept that has emerged within the fire engineering and fire science disciplines in recent years. It can enable informed decision making and improved fire safety. However, its scope, definition, outcomes, and value to emergency management remain unclear. To investigate this, a scoping review and a bibliometric analysis
José Antonio Morales Mere, Nils Johansson, Enrico Ronchi   +2 more
wiley   +1 more source

Optical frequency comb integration in radio telescopes: advancing signal generation and phase calibration. [PDF]

Light Sci Appl
Hyun M, Ahn C, Choi J, Baek J, Jeong W, Je DH, Byun DY, Wagner J, Heo MS, Jung T, Kim J.   +10 more
europepmc   +1 more source

Microwave Detection of a Metal Peroxide and Two New Metal Dicarbides: The Precise Semiexperimental Equilibrium Structures of CaO₂, SrC₂, and YbC₂. [PDF]

J Phys Chem A
Changala PB, Gupta H, Meyer S, McCarthy MC.   +3 more
europepmc   +1 more source

Orbital eccentricity and internal feedbacks drove the Triassic megamonsoon variability. [PDF]

Sci Rep
Chu R, Wu H, Zhang J, Fang Q, Zeeden C, Chen P, Zhu R, Cui J, Zhang S, Yang T, Wang C.   +10 more
europepmc   +1 more source

A Pan‐Cancer Microenvironment Atlas Constructed by DECEPTICONx

iMetaMed, EarlyView.
DECEPTICONx builds the most comprehensive pan‐cancer TME atlas to date from > 11,000 TCGA samples using 535,665 single cells, revealing 102 immune/stromal subtypes with robust novel associations to patient outcomes, immunotherapy response, and intercellular coordination in the TME.
Yida Gu, Fulan Deng, Lianchong Gao, Zhiyu Chen, Jianping Chen, Jiale Wu, Zengqiang Xia, Zhijian Li, Fangkaikai Cheng, Jie Chen, Henry H. Y. Tong, Wantao Chen, Xiaoqing Pan, Xin Zou, Jie Hao   +14 more
wiley   +1 more source

A Label‐Free Hyperspectral Imaging Device for Ex Vivo Characterization and Grading of Meningioma Tissues

Journal of Biophotonics, EarlyView.
HyperProbe1.1 enables rapid, label‐free biochemical mapping of freshly resected meningiomas. By quantifying endogenous biomarkers such as cytochrome c oxidase, hemoglobin derivatives, and lipids, the system reveals molecular signatures consistent with tumor grading and generates spatial maps that visualize metabolic and vascular heterogeneity across ...
Pietro Ricci, Camilla Bonaudo, Ivan Ezhov, Anam Toaha, Dorotea Nardini, Manuel Camelia, Federica Lucidi, Filippo Nozzoli, Tim Mach, Ilias Tachtsidis, Daniel Rueckert, Alessandro Della Puppa, Luca Giannoni, Francesco S. Pavone   +13 more
wiley   +1 more source

Magnetic mineralogy of the Baringo core (HSPDP-BTB13-1A, Kenya) shows astronomical forcing with implications for retrieving meaningful paleointensity. [PDF]

Open Res Eur
Sier MJ, Spiering BR, Dekkers MJ, Hilgen FJ.   +3 more
europepmc   +1 more source

Quantitative Mapping of Fibrotic Tissue Mechanics via Brillouin Spectroscopy

Journal of Biophotonics, EarlyView.
Brillouin spectroscopy distinguishes fibrotic from healthy tissue based on localized stiffness changes and enables real‐time monitoring of dynamic alterations in viscoelastic properties during fibrogenesis. ABSTRACT Fibrosis is a pathological scarring process that disrupts tissue architecture, and is characterized by excessive extracellular matrix (ECM)
Vsevolod Cheburkanov, Sujeong Jung, Mikhail Y. Berezin, Vladislav V. Yakovlev   +3 more
wiley   +1 more source