Results 101 to 110 of about 7,263 (222)

A Machine Learning Framework for Assessing Systemic Societal Vulnerability to Coastal Flooding

Journal of Flood Risk Management, Volume 19, Issue 3, September 2026.
ABSTRACT Vulnerability indices are increasingly used to understand why coastal urban communities experience differential flood impacts. However, they are criticised for subjective indicator selection, weighting and aggregation, which rely on researcher judgement and rarely integrate uncertainty.
Adesola Akindejoye, Christophe Viavattene, Sally Priest, David Windridge   +3 more
wiley   +1 more source

A Measurement Error Model Based on Finite Mixture of the Skew-Normal Distributions for Brain MR Image Segmentation

IEEE Access
The accuracy of medical image segmentation plays a crucial role in assisting with diagnosis. One commonly used method is the Gaussian mixture model (GMM) due to its high accuracy and low complexity.
Kaili Zhang, Xiaoxu Zhu
doaj   +1 more source

Seal‐Based Detection of Southward Intrusion of mCDW on the Ross Sea Continental Shelf

Geophysical Research Letters, Volume 53, Issue 16, 28 August 2026.
Abstract Seasonal exchange between modified Circumpolar Deep Water (mCDW) and dense shelf water shapes Antarctic Bottom Water in the Ross Sea, making year‐round hydrographic observations indispensable, yet winter observations remain scarce. Miniaturized CTD tags deployed on 64 Weddell seals in Terra Nova Bay during three years relayed 22,661 profiles ...
Hyunjae Chung, JiKang Park, Mijin Park, Yejin Kim, Unyoung Chun, Sukyoung Yun, Won Sang Lee, Hyun A. Choi, Craig Stevens, Seung‐Tae Yoon, Ji Sung Na, Won Young Lee   +11 more
wiley   +1 more source

Interpreting the effects of DNA polymerase variants at the structural level

Molecular Oncology, Volume 20, Issue 8, Page 2054-2084, August 2026.
Using MAVISp and molecular dynamics simulations, we analyzed over 60 000 missense variants in POLE and POLD1 from ClinVar, COSMIC, cBioPortal, and saturation mutagenesis. Identified mechanistic indicators, including stability, binding, and long‐range, enable structural interpretation, providing ACMG‐like evidence for possible reclassification of VUS ...
Matteo Arnaudi, Karolina Krzesińska, Ludovica Beltrame, Pablo Sánchez‐Izquierdo Besora, Matteo Tiberti, Mef Nilbert, Anna Rohlin, Elena Papaleo   +7 more
wiley   +1 more source

Deep Learning‐Assisted Coherent Raman Scattering Microscopy

Advanced Intelligent Discovery, Volume 2, Issue 4, August 2026.
The analytical capabilities of coherent Raman scattering microscopy are augmented through deep learning integration. This synergistic paradigm improves fundamental performance via denoising, deconvolution, and hyperspectral unmixing. Concurrently, it enhances downstream image analysis including subcellular localization, virtual staining, and clinical ...
Jianlin Liu, Rujia Liu, Xinyan Zhang, Xun Chen, Shuhua Yue   +4 more
wiley   +1 more source

Neurobiological markers across joint profiles of subjective cognitive decline and objective cognitive function in older adults

Alzheimer's &Dementia, Volume 22, Issue 8, August 2026.
Abstract INTRODUCTION Subjective cognitive concerns frequently diverge from objective cognitive performance in cognitively unimpaired (CU) older adults, yet the neurobiological basis of this mismatch remains unclear. METHODS In 648 participants from the Investigating Gains in Neurocognition in an Intervention Trial of Exercise (IGNITE), we defined four
Lu Wan, Chaeryon Kang, Rae Harrison, Patricio Solis‐Urra, Kelsey R. Sewell, Lauren E. Oberlin, Shivangi Jain, Haiqing Huang, George Grove, M. Ilyas Kamboh, Bradley P. Sutton, Beth E. Snitz, Arthur F. Kramer, Edward McAuley, Jeffrey M. Burns, Charles H. Hillman, Eric D. Vidoni, Anna L. Marsland, Thomas K. Karikari, Jill Morris, Kirk I. Erickson   +20 more
wiley   +1 more source

A plasma‐based protein signature combining NPTXR, ACHE, and p‐tau217 predicts progression to symptomatic Alzheimer's disease

Alzheimer's &Dementia, Volume 22, Issue 8, August 2026.
Overview of the study design and analytical workflow. Plasma samples from cognitively unimpaired (CU) participants were analyzed to evaluate progression to symptomatic Alzheimer's disease (AD), and additional analyses examined progression from mild cognitive impairment (MCI) to AD and cross‐sectional disease severity.
Menghan Liu, Katherine Gong, Yike Chen, Gyujin Heo, Ying Xu, Jigyasha Timsina, Daniel Western, John Budde, John C. Morris, Giorgetti Marco, David M. Holtzman, Jeremiah Hinson, Scott Levin, Nicholas Ashton, Marisa Denkinger, Suzanne E. Schindler, Kausik Das, Muhammad Ali, Carlos Cruchaga   +18 more
wiley   +1 more source

Deep Learning‐Based Multimodal Fusion of Whole‐Slide Images and RNA Sequencing Identifies Survival‐Relevant Glioblastoma Clusters

Cancer Medicine, Volume 15, Issue 8, August 2026.
ABSTRACT Glioblastoma is profoundly heterogeneous, and single‐modality analyses often miss prognostically relevant structure. We introduce a transparent, end‐to‐end workflow that fuses available whole‐slide histology and RNA‐seq to discover clinically meaningful glioblastoma subgroups using an unsupervised learning model after feature extraction ...
Amin Zadeh Shirazi, Guillermo A. Gomez
wiley   +1 more source

Reproducible Ozaki‐Based Matrix Multiplication on Photonic Matrix Processors With Algorithm‐Based Fault Tolerance

Concurrency and Computation: Practice and Experience, Volume 38, Issue 16, August 2026.
ABSTRACT Photonic matrix processors are attracting attention in applications such as AI inference due to their low‐power and low‐latency properties. However, their applicability has been largely limited to low‐precision computation due to inherent stochastic analog noise and device non‐idealities.
Shoichi Hirasawa, Michihiro Koibuchi
wiley   +1 more source

Nonstationary Spatial Correlation of Earthquake Ground Motions in California

Earthquake Spectra, Volume 42, Issue 3, August 2026.
Assessing seismic risk to spatially distributed infrastructure systems requires realistic representations of spatially correlated ground motions. Existing models for the spatial correlations of ground motions rely on strong second‐order stationarity assumptions, under which the correlation structure is assumed to be invariant across space, potentially ...
Pengfei Wang, Busra Bocekli, Junhui Yang, Scott J. Brandenberg, Jonathan P. Stewart   +4 more
wiley   +1 more source