Results 31 to 40 of about 2,450 (81)

‘Building the (Im)perfect Beast’: Strategies for Identifying Appropriate Spatial Stock Assessment Model Complexity From an International, Blinded High‐Resolution Simulation Experiment

Fish and Fisheries, Volume 27, Issue 2, Page 196-212, March 2026.
ABSTRACT Despite their potential to inform sustainable regional harvest and climate‐resilient fisheries management, spatial stock assessment models remain underused for management advice. To identify barriers that inhibit broader use of these methods, we conducted a blinded international simulation experiment mimicking real‐world stock assessment ...
Aaron M. Berger, Daniel R. Goethel, Simon D. Hoyle, Patrick Lynch, Caren Barceló, Alistar Dunn, Brian J. Langseth, Carolina Minte‐Vera, Jemery Day, Haikun Xu, Francisco Izquierdo, Dan Fu, Nicholas D. Ducharme‐Barth, Mathew Vincent, Arnaud Grüss, Jonathan J. Deroba, Giancarlo M. Correa, Jeremy McKenzie, Will Butler, Jie Cao, Craig Marsh, Teresa A'mar, Valerio Bartolino, Massimiliano Cardinale, Claudio Castillo‐Jordan, Bjarki Þór Elvarsson, John Hampton, Andrea Havron, Pamela Mace, Arni Magnusson, Mark Maunder, Richard Methot, Sophie Mormede, Maria Grazia Pennino, Alfonso Perez‐Rodriguez, Marta Cousido‐Rocha, Thomas Teears, Agurtzane Urtizberea   +37 more
wiley   +1 more source

Generative Deep Learning for Advanced Battery Materials

Batteries &Supercaps, Volume 9, Issue 2, February 2026.
This review explores the role of generative deep learning (DL) in battery materials analysis and highlights the fundamental principles of generative DL and its applications in designing battery materials. The importance of using multimodal data is underscored to effectively address the challenges faced during the development of battery materials across
Deepalaxmi Rajagopal, Adrian Cierpka, Britta Nestler, Arnd Koeppe   +3 more
wiley   +1 more source

Trap‐dependence in capture–recapture studies: empirical evidence in vertebrates and biological meaning

Oikos, Volume 2026, Issue 2, February 2026.
Capture–recapture (CR) models have been used for decades to estimate population size and demographic rates in natural populations from the monitoring of individuals. One of the most frequent deviations from assumptions required in CR studies is the immediate trap‐dependence that corresponds to the correlation between capture events. We review empirical
Jessica Cachelou, Jean‐Michel Gaillard, Agathe Chassagneux, Eric Baubet, Marlène Gamelon   +4 more
wiley   +1 more source

A Path‐Specific Effect Approach to Mediation Analysis With Time‐Varying Mediators and Time‐to‐Event Outcomes Accounting for Competing Risks

Statistics in Medicine, Volume 45, Issue 3-5, February 2026.
ABSTRACT Not accounting for competing events in survival analysis can lead to biased estimates, as individuals who die from other causes do not have the opportunity to develop the event of interest. Formal definitions and considerations for causal effects in the presence of competing risks have been published, but not for the mediation analysis setting
Arce Domingo‐Relloso, Yuchen Zhang, Ziqing Wang, Astrid M. Suchy‐Dicey, Dedra S. Buchwald, Ana Navas‐Acien, Joel Schwartz, Kiros Berhane, Brent A. Coull, Linda Valeri   +9 more
wiley   +1 more source

Polarising SNPs Without Outgroup

Molecular Ecology Resources, Volume 26, Issue 2, February 2026.
ABSTRACT Asserting which allele is ancestral or derived, known as polarisation, is a prerequisite of many population and quantitative genetic methods. One important application is the inference of the unfolded site‐frequency spectrum (uSFS). The most widely used approaches are based on outgroup data.
Jinyang Liang, Julien Y. Dutheil
wiley   +1 more source

State‐space models and inference approaches for aquatic animal tracking with passive acoustic telemetry and biologging sensors

Methods in Ecology and Evolution, Volume 17, Issue 2, Page 418-434, February 2026.
Abstract Passive acoustic telemetry systems are widely deployed to track animals in aquatic environments. However, investments in integrative methods of data analysis have remained comparatively limited, with current workflows typically considering individual movements separately from space use, home ranges and residency.
Edward Lavender, Andreas Scheidegger, Helen Moor, Carlo Albert   +3 more
wiley   +1 more source

Early warning signal for river‐borne diseases with almost no data

Methods in Ecology and Evolution, Volume 17, Issue 2, Page 615-625, February 2026.
Abstract Effective management of emerging river‐borne diseases requires early prediction of pathogen spatial distributions. However, data on pathogen locations are notoriously rare in the beginning of disease outbreaks and insufficient to feed existing predictive models.
Pouria Ramazi, Prajwal Bende, Arezoo Haratian, Russell Greiner, Mark A. Lewis   +4 more
wiley   +1 more source

Portfolio Optimization for Pension Purposes: Literature Review

Journal of Economic Surveys, Volume 40, Issue 1, Page 45-72, February 2026.
ABSTRACT This systematic review identifies persistent challenges and gaps in the literature on pension portfolio optimization models. We searched, selected, and critically analyzed 82 articles from three major academic databases published over the past decade to investigate the barriers to the effective implementation of these models.
Leonardo Moreira, Igor Leão dos Santos, Pedro Henrique Gonzalez   +2 more
wiley   +1 more source

A Primer on Inference and Prediction With Epidemic Renewal Models and Sequential Monte Carlo. [PDF]

Stat Med
Steyn N, Parag KV, Thompson RN, Donnelly CA.   +3 more
europepmc   +1 more source

Demonstration of robust and efficient quantum property learning with shallow shadows. [PDF]

Nat Commun
Hu HY, Gu A, Majumder S, Ren H, Zhang Y, Wang DS, You YZ, Minev Z, Yelin SF, Seif A.   +9 more
europepmc   +1 more source