Results 231 to 240 of about 2,173,075 (279)

Microenvironmental Reprogramming by 3D Anisotropic Cardiac Extracellular Matrix Induces Nuclear Remodeling and Epigenetic Maturation of Chemically Induced Cardiomyocytes

Advanced Functional Materials, EarlyView.
A 3D anisotropic hydrogel derived from heart extracellular matrix guides cytoskeletal alignment and nuclear remodeling in reprogrammed cardiomyocyte‐like cells. This study reveals how matrix alignment modulates nuclear envelope dynamics and chromatin state, triggering transcriptional and functional maturation.
Seung Ju Seo, Mi Jeong Lee, Hyun Wook Kang, Seonhee Byeon, Soo‐Kyoung Choi, Nakwon Choi, Seung‐Woo Cho, Yoonhee Jin   +7 more
wiley   +1 more source

Single‐ and Dual‐Atom Configurations in Atomically Dispersed Catalysts for Lithium–Sulfur Batteries

Advanced Functional Materials, EarlyView.
Single‐atom and dual‐atom‐based atomically dispersed catalysts (ADCs) effectively address the shuttle effect and sluggish redox kinetics in Li–S batteries. With nearly 100% atomic utilization and tunable coordination environments, ADCs enhance LiPSs adsorption, lower conversion barriers, and accelerate sulfur redox reactions.
Haoyang Xu, Zhenfeng Li, Yue Fei, Ali Mohammadi, Ge Li   +4 more
wiley   +1 more source

Ultrasmall Platinum Nanoparticles for Radiation‐Enhanced Cancer Therapy

Advanced Functional Materials, EarlyView.
This work proposes a nanomedicine‐based strategy to enhance X‐ray radiotherapy for cancer treatment. Ultrasmall Pt‐NPs exhibit catalase‐like activity that may contribute to modulation of the tumor microenvironment and amplify interactions between radiation and biological matter, leading to increased DNA damage.
Miguel Encinas‐Gimenez, Jose I. Garcia‐Peiro, Jose L. Hueso, Eduardo Caleiras, Laura Notario, Felipe Hornos, Pilar Martin‐Duque, Antonio De la Vieja, Jesus Santamaria   +8 more
wiley   +1 more source

Assembly of Cell‐Seeded 3D Printed Hydrogel Modules with Perfusable Channel Networks

Advanced Functional Materials, EarlyView.
Macroscale assembly was utilized to prepare perfusable tissue constructs from individually 3D printed hydrogel modules with embedded branched channel networks and port arrays for cell seeding. Novel multi‐material bioreactors were fabricated to facilitate the gluing of individual modules and the perfusion culture of assembled modular constructs seeded ...
Zachary J. Geffert, Daniel Fougnier, Bo Van Durme, Jenna Grutzmacher, Ryan Clarke, Susan Cao, Zhenghao Li, Ujjwal Aryal, Jason A. Horton, Sandra Van Vlierberghe, Pranav Soman   +10 more
wiley   +1 more source

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Preconditioned Random Forest Regression

Proceedings of the 8th ACM International Conference on Bioinformatics, Computational Biology,and Health Informatics, 2017
Urinary toxicity after radiotherapy (RT) limits the quality of life of prostate cancer patients, and clinically actionable prediction has yet to be achieved. We aim to exploit genome-wide variants to accurately identify patients at higher congenital toxicity risk.
Sangkyu Lee, Sarah Kerns, Barry Rosenstein, Harry Ostrer, Joseph O. Deasy, Jung Hun Oh   +5 more
openaire   +1 more source

Quantile Regression Random Effects

SSRN Electronic Journal, 2017
This paper develops a random effects model for quantile regression (QR). We establish identification of the QR coefficients, and develop practical estimation and inference procedures. We employ a simple pooled QR estimator to estimate the coefficients of interest, and derive its statistical properties. The random effects induce cluster dependence hence
Antonio F. Galvao, Alexandre Poirier
openaire   +1 more source

Online Rebuilding Regression Random Forests

Knowledge-Based Systems, 2021
Abstract Continuous data streams mining is particularly challenging for machine learning. Many efforts have been devoted to propose online learning algorithms that can train iteratively from new coming data and provide evolutionary predictions. Compared to off-line approaches, these algorithms have shown better predictive performance and certain ...
Yuan Zhong, Hongyu Yang, Yanci Zhang, Ping Li   +3 more
openaire   +1 more source

Random Regression Coefficient Models

2020
This chapter describes a modification of the nested error regression model having random regression coefficients. We can intuitively expect that the slope parameters of some explanatory variable are not constant and therefore they should take different values in different domains.
Domingo Morales, María Dolores Esteban, Agustín Pérez, Tomáš Hobza   +3 more
openaire   +1 more source

Random regression coefficients

1994
Abstract In Chapter 2 we studied the analysis of covariance with random effects as a method for the description of between-cluster differences.
openaire   +1 more source