Results 171 to 180 of about 26,074 (306)

Deep Learning Network‐Tailored Microenvironment Matching of 4D Bioprinting Bioactive Scaffolds for Bone Regeneration

Advanced Science, EarlyView.
A DLN dataset was built to analyze MABS composition versus in vitro/in vivo osteogenesis and angiogenesis. An MLP neural network, taking BG morphological parameters as input, extracts bioactive features from these datasets. A rabbit tibial defect model then validates 4D‐printed MABS for adaptability and bone regeneration in critical defects.
Xiongjie Liang, Yuechi Zhang, Weifeng Hu, Shiyan Lv, Fan Jia, Yan Zhang, Feng Wu, Changjiang Yang, Guanqi Zhen, Jinglong Yan, Xu Cui, Wei Zhao, Guanghua Chen   +12 more
wiley   +1 more source

Output fluctuations in the G-7: an unobserved components approach

, 2011
This paper proposes a multivariate unobserved-components model to simultaneously decompose the real GDP for each of the G-7 countries into its respective trend and cycle components.
Sinchan Mitra (14434542), Tara M Sinclair (14493824)   +1 more
core  

Data-driven discovery of digital twins in biomedical research. [PDF]

Brief Bioinform
Métayer C, Ballesta A, Martinelli J.
europepmc   +1 more source

Experimental Demonstration of Temporally Aware Fault‐Tolerant Sensor Fusion Using Memristive Associative Learning

Advanced Electronic Materials, EarlyView.
In dynamic driving scenarios, the proposed approach ensures only temporally aligned sensor inputs to make driving decisions, preventing false activations. By enabling selective hardware‐level learning, it achieves fast, reliable responses under noisy conditions.
Kapil Bhardwaj, Ashfak Nehal, Dmitrii Semenov, Roman Sotner, Sayani Majumdar   +4 more
wiley   +1 more source

Modeling the Phillips curve with unobserved components

The relationship between in.ation and the output gap can be modeled simply and effectively by including an unobserved random walk component in the model.
Harvey, A.
core  

Selection Bias in Educational Transition Models: Theory and Empirical Evidence [PDF]

Most studies which use Mare’s (1980, 1981) seminal model of educational transitions find that the effect of family background variables decreases across educational transitions. Cameron and Heckman (1998, 2001) have argued that this “waning coefficients”
Anders Holm, Mads Meier Jæger
core  

Estimation error in unobserved component models

, 2006
Examining board: Prof. Luc Bauwens, C.O.R.E. ; Prof. Andrew Harvey, LSE ; Prof. Augustín Maravall, EUI (Supervisor) ; Prof. Grayham Mizon, EUI ; Prof.
openaire   +1 more source

An operational target trial emulation framework for causal inference using electronic health record data. [PDF]

NPJ Digit Med
Wang Y, Li Y, Lin T, Guo Y.
europepmc   +1 more source

Prediction of Structural Stability of Layered Oxide Cathode Materials: Combination of Machine Learning and Ab Initio Thermodynamics

Advanced Energy Materials, EarlyView.
In this work, we developed a phase‐stability predictor by combining machine learning and ab initio thermodynamics approaches, and identified the key factors determining the favorable phase for a given composition. Specifically, a lower TM ionic potential, higher Na content, and higher mixing entropy favor the O3 phase.
Liang‐Ting Wu, Milica Zdravković, Dijana Milosavljević, Konstantin Köster, Olivier Guillon, Jyh‐Chiang Jiang, Payam Kaghazchi   +6 more
wiley   +1 more source

An Overview and Recent Developments in the Analysis of Multistate Processes. [PDF]

Stat Med
Gorfine M, Cook RJ, Kragh Andersen P, Therneau TM, Joly P, Putter H, Pohar Perme M, Abrahamowicz M, Topic Group 8 “Survival Analysis” of the STRATOS Initiative.   +8 more
europepmc   +1 more source