Results 41 to 50 of about 18,663 (244)

Bayesian Versus Frequentist Inference in Structural Equation Modeling: Finite-Sample Properties and Economic Applications

Mathematics
Structural Equation Modeling (SEM) is a key framework for analyzing complex economic relationships involving latent variables, mediation effects, and endogeneity, yet the choice between frequentist and Bayesian estimation remains theoretically and ...
Bojan Baškot, Andrej Ševa, Vesna Lešević, Bogdan Ubiparipović   +3 more
doaj   +1 more source

blavaan: Bayesian Structural Equation Models via Parameter Expansion

Journal of Statistical Software, 2018
This article describes blavaan, an R package for estimating Bayesian structural equation models (SEMs) via JAGS and for summarizing the results. It also describes a novel parameter expansion approach for estimating specific types of models with residual ...
Edgar C. Merkle, Yves Rosseel
doaj   +1 more source

Self‐Assembled Monolayers in p–i–n Perovskite Solar Cells: Molecular Design, Interfacial Engineering, and Machine Learning–Accelerated Material Discovery

Advanced Materials, EarlyView.
This review highlights the role of self‐assembled monolayers (SAMs) in perovskite solar cells, covering molecular engineering, multifunctional interface regulation, machine learning (ML) accelerated discovery, advanced device architectures, and pathways toward scalable fabrication and commercialization for high‐efficiency and stable single‐junction and
Asmat Ullah, Ying Luo, Stefaan De Wolf
wiley   +1 more source

Cytokine responses in birds challenged with the human food-borne pathogen Campylobacter jejuni implies a Th17 response [PDF]

Royal Society Open Science, 2016
Development of process orientated understanding of cytokine interactions within the gastrointestinal tract during an immune response to pathogens requires experimentation and statistical modelling.
William D. K. Reid, Andrew J. Close, Suzanne Humphrey, Gemma Chaloner, Lizeth Lacharme-Lora, Lisa Rothwell, Pete Kaiser, Nicola J. Williams, Tom J. Humphrey, Paul Wigley, Stephen P. Rushton   +10 more
doaj   +1 more source

Neuromorphic Electronics for Intelligence Everywhere: Emerging Devices, Flexible Platforms, and Scalable System Architectures

Advanced Materials, EarlyView.
The perspective presents an integrated view of neuromorphic technologies, from device physics to real‐time applicability, while highlighting the necessity of full‐stack co‐optimization. By outlining practical hardware‐level strategies to exploit device behavior and mitigate non‐idealities, it shows pathways for building efficient, scalable, and ...
Kapil Bhardwaj, Roshni Satheesh Babu, Yuxin Xia, Eva Bestelink, Radu Sporea, Nikos Hastas, Ioannis Zeimpekis, Dimitra G. Georgiadou, Sayani Majumdar   +8 more
wiley   +1 more source

A practical method to control spatiotemporal confounding in environmental impact studies

MethodsX, 2018
Separating natural spatiotemporal variation from the impact of human activities has long been a challenge in environmental impact studies. To overcome this problem, a causal modelling method based on spatiotemporal data, integrated with existing ...
Rezvan Hatami
doaj   +1 more source

Bayesian Analysis of Multi-Factorial Experimental Designs Using SEM

Multivariate Behavioral Research
Latent repeated measures ANOVA (L-RM-ANOVA) has recently been proposed as an alternative to traditional repeated measures ANOVA. L-RM-ANOVA builds upon structural equation modeling and enables researchers to investigate interindividual differences in main/interaction effects, examine custom contrasts, incorporate a measurement model, and account for ...
Benedikt Langenberg, Jonathan L. Helm, Axel Mayer   +2 more
openaire   +3 more sources

Anomalous Crystallinity and Magnetism in Chemically Disordered Coherent Heterostructures

Advanced Materials, EarlyView.
Coherent isostructural high‐entropy oxide heterostructures are realized despite remarkable >5% interfacial lattice distortion. The resulting buried interface exhibits abrupt valence reconstruction which contributes to 2 × enhanced exchange bias in the heterostructure relative to constituent layers, demonstrating how chemical disorder enabled anomalous ...
Saeed S. I. Almishal, Sai Venkata Gayathri Ayyagari, Aaron Pearre, Pat Kezer, Matthew Furst, Christina M. Rost, Binghai Yan, Nasim Alem, Timothy Charlton, Zhiqiang Mao, John T. Heron, Jon‐Paul Maria   +11 more
wiley   +1 more source

Possible diverse contribution of coronary risk factors to left ventricular systolic and diastolic cavity sizes

Scientific Reports, 2021
It is generally believed that risk factors damage the coronary arteries, cause myocardial ischemia, and consequently change the shape of the heart. On the other hand, each of the risk factors may also have a negative effect on the heart.
Kenichiro Suzuki, Yasunori Inoue, Kazuo Ogawa, Tomohisa Nagoshi, Kosuke Minai, Takayuki Ogawa, Makoto Kawai, Michihiro Yoshimura   +7 more
doaj   +1 more source

Mechanistically Interpretable Artificial Intelligence for Designing Oxygen Electrocatalysts

Advanced Materials, EarlyView.
Mechanistically interpretable artificial intelligence screens nearly seven million perovskite compositions and identifies key descriptors—d‐p hybridization and densification resistance—that govern oxygen electrocatalysis. The discovered BaCo0.8Nb0.1Zr0.1O3‐δ achieves a record 2.68 W cm−2 peak power density at 600°C with over 500 h of durable operation ...
Xueyu Hu, Yucun Zhou, Haoyu Li, Zheyu Luo, Nai Shi, Yong Ding, Weining Wang, Weilin Zhang, Doyeub Kim, Chanho Kim, Yoojin Ahn, Nikhil Govindarajan, Minda Zou, Zhijun Liu, Yuefeng Song, Meilin Liu   +15 more
wiley   +1 more source