Results 61 to 70 of about 7,097,824 (285)

Causal modeling in a multi-omic setting: insights from GAW20

BMC Genetics, 2018
Background Increasingly available multilayered omics data on large populations has opened exciting analytic opportunities and posed unique challenges to robust estimation of causal effects in the setting of complex disease phenotypes.
Jonathan Auerbach, Richard Howey, Lai Jiang, Anne Justice, Liming Li, Karim Oualkacha, Sergi Sayols-Baixeras, Stella W. Aslibekyan   +7 more
doaj   +1 more source

blavaan : Bayesian Structural Equation Models via Parameter Expansion [PDF]

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 covariances, which facilitates estimation of these models in JAGS.
Merkle, Edgar C, Rosseel, Yves
openaire   +5 more sources

Breaking Bottlenecks in Solid Electrolyte Discovery With Large Artificial Intelligence Models

Advanced Materials, EarlyView.
Large AI models are presented as a route to break key bottlenecks in solid electrolyte discovery by linking materials databases, machine‐learning interatomic potentials, large language models, and autonomous experiments. This perspective highlights how AI can accelerate the identification of solid electrolytes with fast ion transport, stable interfaces,
Eric Jianfeng Cheng, Min Hong, Zhiquan Zeng, Chuanyu Liu, Qian Wang, Melissa Jane Meadowcroft, Vlad Badilita, Carlos Miguel Costa, Senentxu Lanceros‐Méndez, Ying Li, Chenyao Ma, Weibo Gong, Surendra Kumar Martha, Aloysius Soon, Piao Ma, Di Zhang, Teguh Ariyanto, Sudaryanto, Hiroshi Kakinuma, Jie Zhao, Jiayu Peng, Pengfei Ou, Jun Lu, Shin‐ichi Orimo, Hao Li   +24 more
wiley   +1 more source

Performance Evaluation of Bayesian Network Learning Algorithms in Structural Equation Modeling: A Simulation Study

Entropy
Bayesian Network (BN) learning algorithms may exhibit substantially different performance across graph structures, sample sizes, and evaluation criteria. Comparative evidence on BN learning under structurally validated conditions remains limited.
Tugay Karadag
doaj   +1 more source

Advances in Bio‐Integrated Edge Computing Systems for Smart and Connected Health

Advanced Materials, EarlyView.
This review explores advances in bio‐integrated edge computing for healthcare, focusing on co‐designing computing, sensing, and energy strategies to overcome integration and power challenges for optimized, decentralized operation. ABSTRACT Recent advances in bio‐integrated healthcare technologies have enabled continuous, high‐resolution monitoring and ...
Gyuwon Kim, Seungwon Yoo, Tae Woog Kang, Yunuo Huang, Woon‐Hong Yeo   +4 more
wiley   +1 more source

Multi‐Parametric Fluorescence Spectroscopy for the Detection and Characterization of Plant‐Derived Protein Residues on 316L Stainless Steel

Advanced Materials Interfaces, EarlyView.
UV–vis fluorescence spectroscopy enables sensitive monitoring of plant protein adsorption on AISI 316L stainless steel under food‐processing‐relevant conditions. Spectral deconvolution reveals adsorption‐induced changes associated with protein–surface interactions and conformational alterations, demonstrating the potential of the technique for ...
Alexander Khort, Erik Jansson, Gunilla Herting, Eva Blomberg, Kirsti Viljaste, Ahana Mukherjee, Inger Odnevall   +6 more
wiley   +1 more source

Results of Bayesian structural equation modeling of the modified target-based structure model (d = 200).

, 2019
Results of Bayesian structural equation modeling of the modified target-based structure model (d = 200).
Yuki Nozaki (475626), Moïra Mikolajczak (314561), Alicia Puente-Martínez (7866350)   +2 more
core   +1 more source

Multidimensional Heat‐Path Engineering in Thermal Interface Materials for High‐Performance Electronics

Advanced Materials Technologies, EarlyView.
This review presents multidimensional heat‐path engineering for thermal interface materials, showing how internal heat transport, interfacial contact and bondline formation, and processing‐defined pathway architectures together determine bonded‐joint thermal performance.
Jinsoo Na, Jaeho Seo, Sungwoo Yang, Wonjin Lee, James Sangmin Choo, Sangjae Kim, Sanghyun Park, Juhyuk Park   +7 more
wiley   +1 more source

Application of Bayesian Nonlinear Structural Equation Modeling for Exploring Relationships on Residential Satisfaction in Turkey [PDF]

, 2017
We introduce a Bayesian Nonlinear Structural Equation Modeling framework to explore the relationships on residential satisfaction in Turkey. The structural equation model (SEM) is a multivariate statistical method that allows assessment of relationships ...
ALTINDAĞ, İlkay
core   +1 more source

Mediating effect of cognitive appraisal and coping on anticipatory grief in family caregivers of patients with cancer: a Bayesian structural equation model study

BMC Nursing
Background Anticipatory grief is common among family caregivers of cancer patients and may be related to caregiver burden, family resilience, psychological capital, cognitive appraisal, and coping strategies.
Di Sun, Xu Zhang, Jiaojiao Li, Meishuo Liu, Lijuan Zhang, Jing Zhang, Mengyao Cui   +6 more
doaj   +1 more source