Results 141 to 150 of about 24,886 (258)

Spatial depth for data in metric spaces

open access: yesScandinavian Journal of Statistics, Volume 53, Issue 2, Page 684-711, June 2026.
Abstract We propose a novel measure of statistical depth, the metric spatial depth, for data residing in an arbitrary metric space. The measure assigns high (low) values for points located near (far away from) the bulk of the data distribution, allowing quantifying their centrality/outlyingness.
Joni Virta
wiley   +1 more source

Characterizing Multi‐Source DNAPL Source Zone Architecture in Channelized Aquifers Using a Geophysics‐Informed Hybrid Deep Learning Framework

open access: yesGeophysical Research Letters, Volume 53, Issue 10, 28 May 2026.
Abstract Accurate characterization of dense nonaqueous phase liquid (DNAPL) source zone architecture (SZA) is essential for contaminated site remediation. However, highly channelized aquifer heterogeneity and multi‐source contamination pose significant challenges.
Yanhao Wu   +4 more
wiley   +1 more source

Efficient Deconvolution in Populational Inverse Problems

open access: yesInternational Journal for Numerical Methods in Engineering, Volume 127, Issue 9, 15 May 2026.
ABSTRACT This work is focused on the inversion task of inferring the distribution over parameters of interest, leading to multiple sets of observations. The potential to solve such distributional inversion problems is driven by the increasing availability of data, but a major roadblock is blind deconvolution, arising when the observational noise ...
Arnaud Vadeboncoeur   +2 more
wiley   +1 more source

Distributional robustness based on Wasserstein-metric approach for humanitarian logistics problem under road disruptions

open access: yesOperations Research Perspectives
Humanitarian logistics plays a vital role in disaster management. However, it often faces the challenge of unpredictable road conditions when solving relief prepositioning problems to effectively respond to natural disasters.
Yingying Gao, Xianghai Ding, Wuyang Yu
doaj   +1 more source

Predicting Direction of High‐Speed Wind: A Bayesian Approach to Conditional Cylindrical Distributions

open access: yesEnvironmetrics, Volume 37, Issue 4, May 2026.
ABSTRACT High‐speed winds pose several dangers to both the built environment and the natural environment, affecting human lives and livelihoods, as well as endangering wildlife. On the other hand, high‐speed winds can be beneficially harnessed through the optimal orientation of turbines to maximize wind energy production.
Najmeh Nakhaei Rad   +2 more
wiley   +1 more source

Urinary Extracellular Vesicles for High‐Precision Bladder Cancer Subtyping and Prognosis

open access: yesJournal of Extracellular Biology, Volume 5, Issue 5, May 2026.
ABSTRACT Bladder cancer (BCa) exhibits molecular heterogeneity that complicates early diagnosis and prognosis, and drives confounding clinical outcomes. Non‐muscle invasive and muscle‐invasive subtypes, especially for intermediate to high grade, carry a 25%–50% progression‐free survival rate, underscoring the need for high‐precision prognostic strategy.
Zachary F. Greenberg   +5 more
wiley   +1 more source

Adults With Acid Sphingomyelinase Deficiency Have Sustained Improvements in Clinical Outcomes With up to 5 Years of Olipudase Alfa Enzyme Replacement Therapy: ASCEND Trial Final Results

open access: yesJournal of Inherited Metabolic Disease, Volume 49, Issue 3, May 2026.
ABSTRACT Acid sphingomyelinase deficiency (ASMD) is a rare debilitating lysosomal storage disease resulting in multisystemic disease manifestations, significant disease burden, and early mortality for some individuals. Enzyme replacement therapy (ERT) with olipudase alfa (Xenpozyme) is the first disease‐specific treatment indicated for noncentral ...
Melissa P. Wasserstein   +20 more
wiley   +1 more source

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