Results 161 to 170 of about 105,330 (339)

Access to water and COVID-19: a regression discontinuity analysis for the peri-urban areas of Metropolitan Lima, Peru

open access: green, 2022
Andrés Gómez‐Lobo   +5 more
openalex   +2 more sources

Does Education Reduce the Risk of Hypertension? Estimating the Biomarker Effect of Compulsory Schooling in England [PDF]

open access: yes
This paper estimates the exogenous effect of schooling on reduced incidence of hypertension. Using the changes in the minimum school-leaving age law in the United Kingdom from age 14 to 15 in 1947, and from age 15 to 16 in 1973, as sources of exogenous ...
Powdthavee, Nattavudh
core  

Composition‐Aware Cross‐Sectional Integration for Spatial Transcriptomics

open access: yesAdvanced 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   +5 more
wiley   +1 more source

Bayesian regression discontinuity designs: Incorporating clinical\n knowledge in the causal analysis of primary care data [PDF]

open access: green, 2014
Sara Geneletti   +4 more
openalex   +1 more source

Quantile Treatment Effects in the Regression Discontinuity Design [PDF]

open access: yes
This paper shows nonparametric identification of quantile treatment effects (QTE) in the regression discontinuity design (RDD) and proposes simple estimators.
Frölich, Markus, Melly, Blaise
core  

AI‐Guided Co‐Optimization of Advanced Field‐Effect Transistors: Bridging Material, Device, and Fabrication Design

open access: yesAdvanced Intelligent Discovery, EarlyView.
This article outlines how artificial intelligence could reshape the design of next‐generation transistors as traditional scaling reaches its limits. It discusses emerging roles of machine learning across materials selection, device modeling, and fabrication processes, and highlights hierarchical reinforcement learning as a promising framework for ...
Shoubhanik Nath   +4 more
wiley   +1 more source

Machine Learning‐Driven Digital Twin of a Field‐Effect Transistor‐Based Hormone Biosensor for Real‐Time Estradiol Monitoring

open access: yesAdvanced Intelligent Systems, EarlyView.
A machine learning‐driven digital twin simulates an aptamer‐functionalized BioFET measuring 17β‐estradiol. Real‐time Isd signals are processed, features are extracted, and trained models estimate hormone concentration. In parallel, a one‐step‐ahead forward model learns biosensor dynamics and generates realistic synthetic signals, enabling in silico ...
Anastasiia Gorelova   +4 more
wiley   +1 more source

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