Results 141 to 150 of about 1,485 (251)

Empirical Model of Post‐Earthquake Restoration Time for Building Components Based on Data From the 2022 Fukushima‐ken Oki Earthquake in Japan

Earthquake Engineering &Structural Dynamics, EarlyView.
ABSTRACT Estimation of the time required for damaged building components to return to their pre‐earthquake conditions through repair is a critical element in assessing the seismic resilience of buildings, and it requires consideration of uncertainty.
Tomoaki Nishino, Takeshi Morii, Rie Okazawa, Hiroaki Notake, Aya Hada, Takahiro Matsui   +5 more
wiley   +1 more source

Numerical Investigation of Methane Transport Within and Around Evolving Cracks

Energy Science &Engineering, EarlyView.
A validated model shows that natural gas leakage induces soil deformation and forms three key cracks. When diffusion is low, methane moves mainly along the primary crack, demonstrating how natural fractures reshape pathways and significantly enhance methane migration.
Le Wang, Xinxiong Lv, Yu Ding, Qichang Ni   +3 more
wiley   +1 more source

Temporal depth in a coherent self and in depersonalization: theoretical model. [PDF]

Front Psychol
Tolchinsky A, Levin M, Fields C, Da Costa L, Murphy R, Friedman D, Pincus D.   +6 more
europepmc   +1 more source

A Review of Energy Management Strategies for Hybrid Electric Vehicles

Energy Science &Engineering, EarlyView.
This review systematically categorizes energy management strategies (EMS) for hybrid electric vehicles, highlighting rule‐based, optimization‐based, learning‐based, and emerging algorithm‐mixing approaches. It provides a comprehensive roadmap for developing intelligent control systems to enhance energy efficiency and promote sustainable transportation.
Song Gao, Bingchan Zhou, Zhumu Fu, Zhaohui Jiang, Kaikai Zhang, Qihui Ma, Mingchong Dong, Fazhan Tao, Pengju Si, Xin Jin   +9 more
wiley   +1 more source

Bayesian network imputation methods applied to multi-omics data identify putative causal relationships in a type 2 diabetes dataset containing incomplete data: An IMI DIRECT Study. [PDF]

PLoS Genet
Howey R, Adam J, Adamski J, Atabaki NN, Brunak S, Chmura PJ, De Masi F, Dermitzakis ET, Fernandez-Tajes JJ, Forgie IM, Franks PW, Giordano GN, Haid M, Hansen T, Hansen TH, Harms PP, Hattersley AT, Hong MG, Jacobsen UP, Jones AG, Koivula RW, Kokkola T, Mahajan A, Mari A, McCarthy MI, McDonald TJ, Musholt PB, Pavo I, Pearson ER, Pedersen O, Ruetten H, Rutters F, Schwenk JM, Sharma S, 't Hart LM, Vestergaard H, Walker M, IMI DIRECT Consortium, Viñuela A, Cordell HJ.   +39 more
europepmc   +1 more source

Legacy effects of redlining on the distribution of greenspaces in US cities

Frontiers in Ecology and the Environment, EarlyView.
We investigated how a discriminatory housing policy—redlining—has shaped the spatial patterns and configurations of greenspaces throughout 177 cities in the contiguous US. Housing segregation has been a long‐term development practice that has sequestered communities of color to areas with elevated environmental and public health risks.
Travis Gallo, Mason Fidino, Christopher J Schell, Marccus D Hendricks, Seth B Magle   +4 more
wiley   +1 more source

Causal networks guiding large language models: application to COVID-19. [PDF]

Health Care Manag Sci
Alemi F, Lybarger KJ, Vang J, Lin Y, Elyazori HRA, Cardenas VF.   +5 more
europepmc   +1 more source

Forecasting Volatility of Commodity, Currency, and Stock Markets: Evidence From Markov‐Switching Multifractal Models

Journal of Forecasting, EarlyView.
ABSTRACT This paper adopts a bivariate Markov‐switching multifractal (BMSM) model to reexamine comovement in SV between commodity, foreign exchange (FX), and stock markets. After the 2007–2008 global financial crisis understanding volatility linkages and the correlation structure between these markets becomes very important for risk analysts, portfolio
Ruipeng Liu, Mawuli Segnon, Oguzhan Cepni, Rangan Gupta   +3 more
wiley   +1 more source

Nowcasting World Trade With Machine Learning: A Three‐Step Approach

Journal of Forecasting, EarlyView.
ABSTRACT We nowcast world trade using machine learning, distinguishing between tree‐based methods (random forest and gradient boosting) and their linear‐regression‐based counterparts (macroeconomic random forest and gradient boosting—linear). While much less used in the literature, the latter are found to outperform not only the tree‐based techniques ...
Menzie Chinn, Baptiste Meunier, Sebastian Stumpner   +2 more
wiley   +1 more source

A New Implementation of Network GARCH Model for Stock Volatility and Co‐Volatility Forecasting

Journal of Forecasting, EarlyView.
ABSTRACT Volatility clustering and spillovers are key features of financial time series with many cross‐sectional assets. While network analysis links similar or correlated stocks and helps trace volatility spillovers, contemporary multivariate ARCH‐GARCH formulations struggle to represent structured network dependence and remain parsimonious.
Peiyi Zhou
wiley   +1 more source