Results 171 to 180 of about 1,316,852 (299)

Use of emergency medical services in Liberia: a retrospective review of a novel EMS system. [PDF]

Int J Emerg Med
Menon P, Luke M, Moran T, Sparks S, Yaffee A, Peacock E, Husain I.   +6 more
europepmc   +1 more source

A Generalized Framework for Data‐Efficient and Extrapolative Materials Discovery for Gas Separation

Advanced Intelligent Discovery, EarlyView.
This study introduces an iterative supervised machine learning framework for metal‐organic framework (MOF) discovery. The approach identifies over 97% of the best performing candidates while using less than 10% of available data. It generalizes across diverse MOF databases and gas separation scenarios.
Varad Daoo, Jayant K. Singh
wiley   +1 more source

Isolation of toxigenic <i>Corynebacterium diphtheriae</i> from cutaneous lesions in a donkey in Ontario, Canada, 2024: Implications for zoonotic disease transmission and One Health approach. [PDF]

Can Commun Dis Rep
Okechukwu C, Rebellato S, Pitfield H, Magnusson K, Sereshk R, Slavic D, McClinchey H, Wilson S, Kus J, Lee C.   +9 more
europepmc   +1 more source

Computer Vision Pipeline for Image Analysis for Freeze‐Fracture Electron Microscopy: Rosette Cellulose Synthase Complexes Case

Advanced Intelligent Discovery, EarlyView.
This paper presents a computer vision (deep learning) pipeline integrating YOLOv8 and YOLOv9 for automated detection, segmentation, and analysis of rosette cellulose synthase complexes in freeze‐fracture electron microscopy images. The study explores curated dataset expansion for model improvement and highlights pipeline accuracy, speed ...
Siri Mudunuri, Leala Carbonneau, Eric M. Roberts, Alison W. Roberts, Candace H. Haigler, Alexey V. Gulyuk, Yaroslava G. Yingling   +6 more
wiley   +1 more source

Long-range magnetic order with disordered spin orientations in a high-entropy antiferromagnet. [PDF]

Nat Commun
Shen Y, Zhang G, Zhang Q, Gui X, Zhang Y, Lee H, Kuo CT, Lee JS, Sutarto R, Ye F, Pan Z, Qin X, Wang J, Ying T, Long Y.   +14 more
europepmc   +1 more source

Composition‐Aware Cross‐Sectional Integration for Spatial Transcriptomics

Advanced Intelligent Discovery, EarlyView.
Multi‐section spatial transcriptomics demands coherent cell‐type deconvolution, domain detection, and batch correction, yet existing pipelines treat these tasks separately. FUSION unifies them within a composition‐aware latent framework, modeling reads as cell‐type–specific topics and clustering in embedding space.
Qishi Dong, Zijian Huang, Xuanwu Wang, Zhenghui Feng, Wei Liu, Bingding Huang   +5 more
wiley   +1 more source

Parenteral artesunate compliance and hospital outcomes in children under five with suspected severe malaria in Sierra Leone. [PDF]

Public Health Action
Kamara ARY, Kamara IF, Thekkur P, Falama AM, Sillah-Kanu M, Lahai WK, Fiona OO, George A, Fofanah BD, Sesay N, Tengbe SM, Farma-Grant L, Bah A, Thomas F, Tejan YS, Kanu JS, Lakoh S, Mustapha M, Zachariah R, Chandrasekharan Prathija K, Kenneh SM.   +20 more
europepmc   +1 more source

Smart Denture with Embedded Thin‐Film Temperature Sensors Patterned by Femtosecond Laser Pulse for Elderly Healthcare

Advanced Intelligent Systems, Volume 7, Issue 3, March 2025.
We demonstrate the direct‐laser patterning of a gold thin film on polymethyl methacrylate to fabricate a temperature sensor for dentures. The temperature sensor‐embedded smart dentures are evaluated in an oral environment, enabling in‐situ monitoring for elderly healthcare.
Han Ku Nam, Yong Kwon Chae, Seoung‐Jin Hong, Younggen Lee, Dongwook Yang, Byunggi Kim, Sang Wook Kang, Young‐Jin Kim   +7 more
wiley   +1 more source

Exploring changes to financial protection and equity in Lithuania following 2017-2020 policies to improve access to outpatient medicines. [PDF]

Health Policy Open
Murauskienė L, Karanikolos M.
europepmc   +1 more source

Machine Learning‐Based Estimation of Experimental Artifacts and Image Quality in Fluorescence Microscopy

Advanced Intelligent Systems, Volume 7, Issue 3, March 2025.
The use of image quality metrics in combination with machine learning enables automatic image quality assessment for fluorescence microscopy images. The method can be integrated into the experimental pipeline for optical microscopy and utilized to classify artifacts in experimental images and to build quality rankings with a reference‐free approach ...
Elena Corbetta, Thomas Bocklitz
wiley   +1 more source