Results 71 to 80 of about 195,059 (253)
While known quantum learning speedups operate in idealized noiseless regimes, coupling to uncharacterized systems is a noisy process even given fault-tolerant devices.
Jordan Cotler +2 more
doaj +1 more source
This study shows that lung adenocarcinomas exploit developmental branching morphogenesis to acquire a therapy resistant basal‐like tumour cell state. This process was found to be regulated by combined TP53 loss‐of‐function and type‐I interferon signalling, identifying a novel axis for biomarker and therapeutic target discovery.
Kamila J Bienkowska +13 more
wiley +1 more source
Harvested reservoir computing from road traffic dynamics
Reservoir computing (RC) has gained attention as an efficient machine learning method for time series prediction because of its low computational costs and simple learning process.
Ryunosuke Fukuzaki +2 more
doaj +1 more source
Learning from Crowds Using a Focal Loss Function: Dealing with Imbalanced Annotations
Obtaining high-quality labeled data for supervised learning is costly, motivating the use of crowdsourcing, which distributes the annotation process across multiple workers with varying levels of expertise.
Julian Gil-Gonzalez +4 more
doaj +1 more source
This study focuses on the evaluation of the green procurement practices among 7 mining hospitals in Ghana via qualitative analysis techniques. Thus, in this study, based on a 5-year case study, the practices of procurement officers in 7 hospitals ...
Du Jian Guo +3 more
doaj +1 more source
Liquid biopsy‐based diagnostic evaluation of hypermethylated CpG sites for ovarian cancer diagnosis
This schematic outlines the workflow from biomarker identification to duplex MethyLight assay validation for epithelial ovarian cancer diagnosis using cfDNA‐based liquid biopsy. Initial screening of hypermethylated CpG candidates (cg02957270, cg10061138 cg00480298, COL2A1) was performed in tissue using ARMS‐PCR, COBRA, qPCR and image analysis. Selected
Deepa Bisht +3 more
wiley +1 more source
Exploratory Analysis and Prediction of Weather Conditions: Leveraging Feature Engineering and Machine Learning Models for Accurate Forecasting [PDF]
This study explores the analysis and prediction of weather conditions using a comprehensive weather dataset containing variables such as precipitation, temperature, and wind speed.
Hameed Hashim, Pandita Archana
doaj +1 more source
Single‐cell multi‐omics reveals epigenetic heterogeneity across therapy‐adaptive tumor states, including quiescent/dormant, drug‐tolerant persister, and EMT‐like phenotypes. By linking regulatory features with state‐associated biomarkers, these approaches inform biomarker‐guided therapeutic strategies for evolving tumors.
Hee Jung Kim +3 more
wiley +1 more source
Current network analysis algorithms often rely on search methods or centrality measures but face challenges such as 1) The solution space is large, resulting in high computational complexity.
Mohammad Hossein Ahmadikia +1 more
doaj +1 more source
The main goal of this paper is to describe and analyze the individual and collective empowerment process of a group involved in a participatory evaluation project developed during 2012 in Badia del Vallès (Barcelona, Spain).
Anna Ciraso-Calí +2 more
doaj +1 more source

