Results 91 to 100 of about 514 (177)

Financial Climate‐Risk Measurement, Impact Funds, and Green Transitions

Journal of Accounting Research, Volume 64, Issue 4, Page 1867-1903, September 2026.
ABSTRACT Regulators are contemplating or mandating precise measurement of financial climate‐risk exposure to promote sustainable investments. We show that such mandates can be counterproductive in the presence of social funds that catalyze change by subsidizing the adoption of cleaner production technologies.
VOLKER LAUX, LUCAS MAHIEUX
wiley   +1 more source

Bayesian Estimation of Transition Rates in Two‐State Nonhomogeneous Markov Jump Processes With Intermittent Observations: An Honest‐Time Data‐Augmentation Approach

Scandinavian Journal of Statistics, Volume 53, Issue 3, Page 1343-1357, September 2026.
ABSTRACT A possibly time‐dependent transition intensity matrix or generator (Q(t))$$ \left(Q(t)\right) $$ characterizes the law of a Markov jump process (MP). For a time‐homogeneous MP, the transition probability matrix (TPM) can be expressed as a matrix exponential of Q$$ Q $$.
Dario Gasbarra, Sangita Kulathinal, Etienne Sebag   +2 more
wiley   +1 more source

The Role of Charge Transfer and Linker States in the Magnetoluminescence of a Diradical With Two Spatially Proximate Triarylmethyl Units

Advanced Optical Materials, Volume 14, Issue 29, 7 August 2026.
Magnetoluminescent (ML) diradicals exhibit field‐dependent emission due to magnetic field‐dependent spin state populations and spin‐dependent emission properties. In this work, quantum chemical calculations applied to the first reported ML diradical provide evidence of the different deactivation pathways of the excited singlet and triplet states and ...
Fatemeh Mamusi, Jordi Ribas‐Ariño, Mercè Deumal, Maria Fumanal   +3 more
wiley   +1 more source

A‐optimal model‐based design of experiments for processes with uncertain inputs

The Canadian Journal of Chemical Engineering, Volume 104, Issue 8, Page 4307-4321, August 2026.
Abstract Model‐based design of experiments (MBDoE) techniques are tools for selecting experimental conditions that enable accurate parameter estimation for mechanistic models. Most MBDoE approaches assume that the selected experimental conditions will be implemented perfectly, without uncertainties in the independent variables.
Bright Ofori, Iman Moshiritabrizi, Anh‐Duong Vo, Kimberley B. McAuley   +3 more
wiley   +1 more source

Spatial Econometric Analysis of Regional Aging: Evidence From German Counties

Population, Space and Place, Volume 32, Issue 6, August 2026.
ABSTRACT Regional demographic change is widely acknowledged to contribute to economic decline, making an understanding of the determinants of regional population aging crucial for designing effective policy interventions. However, research on these determinants remains limited, particularly at the sub‐national level.
Andree Ehlert
wiley   +1 more source

Curvature of Hessian manifolds

Curvature of Hessian manifolds
We prove that, in dimensions greater than 2, the generic metric is not a Hessian metric and find a curvature condition on Hessian metrics in dimensions greater than 3. In particular we prove that the forms used to define the Pontryagin classes in terms of the curvature vanish on a Hessian manifold.
openaire  

Higher order Hessian structures on manifolds

Proceedings Mathematical Sciences, 2005
18 pages, no figures, no ...
openaire   +2 more sources

Scalable Approximation of the Transformation‐Free Linear Simplicial–Simplicial Regression via Constrained Iterative Reweighted Least Squares

Statistical Analysis and Data Mining: An ASA Data Science Journal, Volume 19, Issue 4, August 2026.
ABSTRACT Simplicial–simplicial regression concerns statistical modeling scenarios in which both the predictors and the responses contain vectors constrained to lie on the simplex. Fiksel et al. introduced a transformation‐free linear regression framework for this setting, wherein the regression coefficients are estimated by minimizing the Kullback ...
Michail Tsagris, Omar Alzeley
wiley   +1 more source

PETIMOT: a novel framework for inferring protein motions from sparse data using SE(3)‐equivariant graph neural networks

Acta Crystallographica Section D, Volume 82, Issue 8, Page 862-885, August 2026.
We present a new formulation for protein flexibility and learn protein motions from sparse experimental data.Proteins move and deform to ensure their biological functions. Despite significant progress in protein structure prediction, approximating conformational ensembles under physiological conditions remains a fundamental open problem.
Valentin Lombard, Julien Nguyen Van, Sergei Grudinin, Elodie Laine   +3 more
wiley   +1 more source

To Grandmother's House We Go: Informal Childcare and Female Labor Mobility

International Economic Review, Volume 67, Issue 3, Page 1043-1068, August 2026.
ABSTRACT We document how childcare costs and the location of extended family influence the labor supply and mobility of US women. Women return to their home locations immediately before fertility events, suggesting that informal childcare needs may motivate home migration. Women who live near their parents have lower child earnings penalties.
Garrett Anstreicher, Joanna Venator
wiley   +1 more source