Results 51 to 60 of about 2,508,958 (213)

Some Estimation Methods for a Random Coefficient in the Gegenbauer Autoregressive Moving-Average Model

Mathematics
The Gegenbauer autoregressive moving-average (GARMA) model is pivotal for addressing non-additivity, non-normality, and heteroscedasticity in real-world time-series data.
Oumaima Essefiani, Rachid El Halimi, Said Hamdoune   +2 more
doaj   +1 more source

Generalized Least Squares Estimation for Cointegration Parameters Under Conditional Heteroskedasticity [PDF]

In the presence of generalized conditional heteroscedasticity (GARCH) in the residuals of a vector error correction model (VECM), maximum likelihood (ML) estimation of the cointegration parameters has been shown to be efficient.
Helmut Herwartz, Helmut Luetkepohl
core  

Pre‐Regenerative Endothelial Cells Empowered by Antler Blood Exosomes Orchestrate Peripheral Nerve Repair

Advanced Science, EarlyView.
The pre‐regenerative vascular niche (PVN) is essential for nerve repair, yet its endothelial blueprint remains unclear. We identified angiogenic ECs (AECs) as the dominant pre‐regenerative subset and found that antler blood–derived exosomes (AB‐EXO) promote repair via IMP3.
Jinsheng Huang, Qiang Chen, Aihua Jin, Xiaoqi Yang, Hui Zhou, Weiquan Gong, Jin Cheng, Jun Dai, Minjin Wang, Meihua Piao, Yuanyi Wang, Nan Zhou   +11 more
wiley   +1 more source

On Stacy’s Generalized Gamma Competing Risks Model: Estimation Procedure with Applications to Blood Cancer Data

Mathematics
Competing risks modeling plays a pivotal role in both reliability analysis for scientific and engineering fields and survival analysis within medical research.
Farouq Mohammad A. Alam, Abdulkader Monier Daghistani, Dulayel Almufarrej   +2 more
doaj   +1 more source

Synergistic Spin‐Polarization and Single‐Atom Engineering in Magnetic Heterojunctions for Efficient Solar Water Splitting

Advanced Science, EarlyView.
High‐throughput screening led to the identification of 67 Z‐scheme heterojunctions (comprising 2D magnetic transition metal halides and non‐magnetic transition metal chalcogenides). For CrI3/MoTe2 and CrI3/WTe2, electronic structure analysis demonstrated that synergistic crystallographic point group and built‐in electric field effects generate a ...
Hongyang Ren, Zhenzhou Guo, Huirong Wu, Peilin Huang, Jie Yang, Jie Zhang, Guangqian Ding, Hongkuan Yuan, Biao Wang   +8 more
wiley   +1 more source

Integrating Machine Learning With Constant‐Potential Simulation to Unravel Charge‐Transfer Mechanisms in Electrochemical Nitrogen Fixation

Advanced Science, EarlyView.
Integrating interpretable machine learning with the fixed‐potential method reveals a novel mechanism: the catalytic activity of the electrochemical nitrogen reduction reaction is governed by partial charge transfer, induced by variations in the intermediate potential of zero charge under constant potential.
Yufei Xue, Dushuo Feng, Yuefei Zhang, Yang Zhang, Yalong Jiao, Aijun Du, Guoping Gao   +6 more
wiley   +1 more source

MPDA: Microarray pooled DNA analyzer

BMC Bioinformatics, 2008
Background Microarray-based pooled DNA experiments that combine the merits of DNA pooling and gene chip technology constitute a pivotal advance in biotechnology. This new technique uses pooled DNA, thereby reducing costs associated with the typing of DNA
Diccianni Mitchell B, Yu Alice LT, Lin Chien-Hsing, Li Ling-Hui, Huang Mei-Chu, Yang Hsin-Chou, Wu Jer-Yuarn, Chen Yuan-Tsong, Fann Cathy SJ   +8 more
doaj   +1 more source

Data‐Driven Modeling of Composition–Processing–Microstructure Relations for Recycled Aluminum Cast Alloys

Advanced Science, EarlyView.
Interpretable machine learning reveals how composition and processing govern the formation and microstructural burden of Fe‐rich intermetallic compounds in recycled Al–Si–Fe–Mn alloys. By separating morphology selection from morphology‐conditioned burden partitioning, this framework shows that identical Fe contents can yield different intermetallic ...
Jaemin Wang, Waleed Mohammed, Dierk Raabe   +2 more
wiley   +1 more source

Generalized empirical likelihood estimators and tests under partial, weak and strong identification [PDF]

The principal purpose of this paper is to describe the performance of generalized empirical likelihood (GEL) methods for time series instrumental variable models specified by nonlinear moment restrictions when identification may be weak.
Patrik Buggenberger, Richard Smith
core  

Lattice Distortion‐Driven Metal Exsolution in Perovskite Oxides

Advanced Science, EarlyView.
This study elucidates the mechanism of lattice distortion‐driven exsolution through a combination of computational simulations and experimental approaches. Lattice distortion facilitates the formation of oxygen vacancies and subsequent metal segregation, thereby enhancing the exsolution behavior.
Yo Han Kim, Uchan Jeon, Hyeongwon Jeong, Bo‐Ram Won, Jeong Woo Han, Jae‐ha Myung   +5 more
wiley   +1 more source