Results 101 to 110 of about 1,312,626 (282)
Stabilizing Functional Nucleic Acids for Real‐Sample Diagnostics
Angewandte Chemie, EarlyView.Functional nucleic acids enable programmable real‐sample diagnostics, but often lose function in complex biological matrices. This review highlights four stabilization levers—chemical, topological, architectural, and microenvironment/interface engineering—that preserve aptamer and DNAzyme performance in saliva, serum, urine, and stool, reframing ...
Soyeon Lee +4 more
wiley +2 more sources
Data‐Guided Photocatalysis: Supervised Machine Learning in Water Splitting and CO2 Conversion
Advanced Intelligent Discovery, EarlyView.This review highlights recent advances in supervised machine learning (ML) for photocatalysis, emphasizing methods to optimize photocatalyst properties and design materials for solar‐driven water splitting and CO2 reduction. Key applications, challenges, and future directions are discussed, offering a practical framework for integrating ML into the ...
Paul Rossener Regonia +1 more
wiley +1 more source
Post-l1-penalized estimators in high-dimensional linear regression models [PDF]
In this paper we study post-penalized estimators which apply ordinary, unpenalized linear regression to the model selected by first-step penalized estimators, typically LASSO. It is well known that LASSO can estimate the regression function at nearly the
Victor Chernozhukov, Alexandre Belloni
core
Harnessing Machine Learning to Understand and Design Disordered Solids
Advanced Intelligent Discovery, EarlyView.This review maps the dynamic evolution of machine learning in disordered solids, from structural representations to generative modeling. It explores how deep learning and model explainability transform property prediction into profound physical insight.
Muchen Wang, Yue Fan
wiley +1 more source
An Adaptive LASSO-Penalized BIC
, 2014 Mixture models are becoming a popular tool for the clustering and classification of high-dimensional data. In such high dimensional applications, model selection is problematic. The Bayesian information criterion, which is popular in lower dimensional applications, tends to underestimate the true number of components in high dimensions. We introduce an
Bhattacharya, Sakyajit +1 more
openaire +2 more sources
AI‐Driven Cancer Multi‐Omics: A Review From the Data Pipeline Perspective
Advanced Intelligent Discovery, EarlyView.The exponential growth of cancer multi‐omics data brings opportunities and challenges for precision oncology. This review systematically examines AI's role in addressing these challenges, covering generative models, integration architectures, Explainable AI for clinical trust, clinical applications, and key directions for clinical translation.
Shilong Liu, Shunxiang Li, Kun Qian
wiley +1 more source
Advanced Intelligent Discovery, EarlyView.Matrix‐assisted laser desorption/ionization imaging‐based identification of reliable small molecule markers across heterogeneous glioblastoma cohorts is challenging with intensity‐only methods. We present spatially informed feature selection (SIFS), a spatially informed framework that prioritizes molecules consistently colocalizing with histopathology.
Shad A. Mohammed +15 more
wiley +1 more source
Multirobot Aerial Soft Manipulator for Floating Litter Collection
Advanced Intelligent Systems, EarlyView.A multirobot aerial manipulator enables autonomous floating litter collection by controlling the shape of a flexible rope equipped with a hook‐based tool. Adaptive rope‐shape planning enhances grasping performance while reducing tension, demonstrating the potential of aerial robots for floating litter removal. Removing floating litter from water bodies
Antonio González‐Morgado +8 more
wiley +1 more source
American Journal of Agricultural Economics, EarlyView.Abstract Preferential trade agreements (PTAs) contain various non‐tariff provisions, yet identifying their trade effects remains challenging because these commitments are high‐dimensional and strongly correlated within agreements. We estimated a theory‐consistent structural gravity model with domestic flows for 26 agricultural subsectors over 1988–2017
Dongin Kim, Sandro Steinbach
wiley +1 more source
Improved Penalty Strategies in Linear Regression Models
Revstat Statistical Journal, 2017 We suggest pretest and shrinkage ridge estimation strategies for linear regression models. We investigate the asymptotic properties of suggested estimators.
Bahadır Yüzbaşı +2 more
doaj +1 more source