Results 111 to 120 of about 12,151,236 (300)

Corrigendum: A Bayesian Approach to the Analysis of Local Average Treatment Effect for Missing and Non-normal Data in Causal Modeling: A Tutorial With the ALMOND Package in R

Frontiers in Psychology, 2020
Dingjing Shi, Dingjing Shi, Xin Tong, M. Joseph Meyer   +3 more
doaj   +1 more source

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

BAYES ESTIMATION OF EXPONENTIALLY DISTRIBUTED SURVIVAL DATA UNDER SYMMETRIC AND ASYMMETRIC LOSS FUNCTIONS

Barekeng
In a research study, population data are often not available, so the population parameter is unknown. Meanwhile, knowledge about the population parameter is needed to know the characteristics of the studied population. Therefore, it is needed to estimate
Muthia Nadhira Faladiba, Atina Ahdika
doaj   +1 more source

Bayesian estimation of the measurement of interactions in epidemiological studies [PDF]

PeerJ
Background Interaction identification is important in epidemiological studies and can be detected by including a product term in the model. However, as Rothman noted, a product term in exponential models may be regarded as multiplicative rather than ...
Shaowei Lin, Chanchan Hu, Zhifeng Lin, Zhijian Hu   +3 more
doaj   +2 more sources

Bayesian Spectral Estimation Applied to Echo Signals from Nonlinear Ultrasound Scatterers [PDF]

, 2010
The understanding and exploitation of acoustic echo signals from nonlinear ultrasound scatterers is an active research area that aims to improve the sensitivity and specificity of diagnostic imaging.
James R. Hopgood, Sboros, Vassilis, Yan Yan, Vassilis Sboros, Hopgood, James R., James R. Hopgood (EURASIP Member), Sboros, Vassilis; id_orcid, Yan, Yan, James R Hopgood, Hopgood, James; id_orcid   +9 more
core   +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

Linking Acrosome Size and Genetic Divergence in an Inter-Oceanic Mussel from the Pacific and Atlantic Coasts: A Case of Incipient Speciation?

Animals
In recent years, advances in analyses of the sperm morphology and genetics of Perumytilus purpuratus have allowed to two evolutionary scenarios for this mussel to be suggested: (1) the scenario of cryptic species and (2) the scenario of incipient or in ...
Carolina Briones, José J. Nuñez, Montse Pérez, Orlando Garrido, Bernardita Campos, Karina Godoy, Ricardo Hartley, Pablo A. Oyarzún, Ricardo Guiñez   +8 more
doaj   +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

Identifying Physical Interactions in Contact‐Based Robot Manipulation for Learning from Demonstration

Advanced Robotics Research, EarlyView.
Robots can learn manipulation tasks from human demonstrations. This work proposes a versatile method to identify the physical interactions that occur in a demonstration, such as sequences of different contacts and interactions with mechanical constraints.
Alex Harm Gert‐Jan Overbeek, Herman van der Kooij, Douwe Dresscher, Mark Vlutters   +3 more
wiley   +1 more source

Efficient optimization identification method for soil stratification based on cone penetration test and joint posterior distribution of variable dimensionality

Yantu gongcheng xuebao
The mechanical stratification of soils based on the cone penetration test data (such as soil classification index Ic) is widely applied. However, the soil stratification based on Ic depends on engineering experience, and the subjective uncertainty is ...
CAO Zijun 1 , HU Chao 2, WANG Yafei 3, MIAO Cong 4, , LIU Tao 5, HONG Yi 6, ZHENG Shuo 7
doaj   +1 more source