Results 171 to 180 of about 208 (207)

Mechanoadaptation via Myosin Cytoplasmic Redistribution Protects Circulating Tumor Cells From Shear‐induced Death During Hematogenous Dissemination

open access: yesAdvanced Science, Volume 13, Issue 33, 15 June 2026.
This study investigates how CTCs survive varying shear stress during hematogenous metastasis. We uncover a self‐protection mechanism, by which non‐adherent CTCs adapt to high shearing milieu through accumulated cytoplasmic myosin‐mediated disruption of myosin‐actin binding, attenuating force transmission into chromatin to protect CTCs from shear ...
Cunyu Zhang   +10 more
wiley   +1 more source

The Importance of Local Variations of Axial Dispersion Coefficients

open access: yesChemical Engineering &Technology, Volume 49, Issue 6, June 2026.
A variable axial dispersion model was implemented and compared with classical axial dispersion models, highlighting the impact of the local variations and demonstrating its importance when surface reaction mechanisms occur. ABSTRACT A variable axial dispersion model (VADM), accounting for local variations in the axial dispersion coefficient, was ...
Luca Mastroianni   +6 more
wiley   +1 more source

A goodness‐of‐fit test for regression models with discrete outcomes

open access: yesCanadian Journal of Statistics, Volume 54, Issue 2, June 2026.
Abstract Regression models are often used to analyze discrete outcomes, but classical goodness‐of‐fit tests such as those based on the deviance or Pearson's statistic can be misleading or have little power in this context. To address this issue, we propose a new test, inspired by the work of Czado et al.
Lu Yang   +2 more
wiley   +1 more source

CALPUCK: An Open Python Tool for Cremer–Pople Ring Puckering Analysis Including a New 2D Mapping of Seven‐Membered Rings

open access: yesChemPlusChem, Volume 91, Issue 6, June 2026.
CALPUCK is a free, open‐source Python tool for Cremer–Pople puckering analysis of five‐, six‐, and seven‐membered rings. It introduces a novel two‐dimensional mapping for seven‐membered systems, enabling intuitive visualization of their complex conformational landscapes and facilitating rapid classification of ring conformers.
Filippo Protti   +3 more
wiley   +1 more source

Computational Rheo‐Hydrodynamic Analysis of Non‐Newtonian Blood Flow Through a Tilted Ellipsoidal Stenosed Vascular Segment

open access: yesEngineering Reports, Volume 8, Issue 6, June 2026.
Non‐Newtonian blood flow through multiple tilted ellipsoidal stenoses is numerically investigated using the DeKee‐Turcotte‐Papanastasiou model. The results reveal asymmetric velocity fields, elevated wall shear stress, significant pressure drops, and shear‐dependent thermal effects, highlighting the critical hemodynamic risks associated with eccentric ...
Azad Hussain, Huma Naz
wiley   +1 more source

Lifespan Trajectories of Asymmetry in White Matter Tracts

open access: yesHuman Brain Mapping, Volume 47, Issue 8, June 1, 2026.
(A) Large‐scale lifespan modeling of white matter asymmetry. Diffusion MRI data from 35,000+ individuals (0‐100 years) across 50 cohorts were used to generate normative lifespan trajectories of white matter asymmetry. Thirty bilateral tracts were segmented, and microstructural (FA, MD, AD, RD) and macrostructural (volume, length) features were ...
Sam Bogdanov   +72 more
wiley   +1 more source

The Rise of Human–Computer Integration in Marketing: A Theory Synthesis

open access: yesPsychology &Marketing, Volume 43, Issue 6, Page 1343-1380, June 2026.
ABSTRACT Human–computer integration (HCInt) technologies, which merge human bodily, cognitive, and sensory functions with computational processes, are reshaping the foundations of consumer experience. Unlike traditional human–computer interaction, HCInt entails adaptive and reciprocal coupling through AI‐driven augmentation, wearables, muscle–computer ...
Carlos Velasco   +5 more
wiley   +1 more source

Deep Learning Unlocks Behavioral Prediction and Neurobehavioral Decoding

open access: yesMed Research, Volume 2, Issue 2, Page 371-387, June 2026.
This review evaluates deep learning frameworks that surmount conventional limitations through high‐dimensional nonlinear modeling, spatiotemporal dependency capture, and multimodal information integration. Focusing on biological behavior forecasting and neural mechanism decoding, we delineate cutting‐edge applications, including real‐time action ...
Tianzhe Han   +5 more
wiley   +1 more source

Analytical and Numerical Soliton Solutions of the Shynaray II‐A Equation Using the G′G,1G$$ \left(\frac{G^{\prime }}{G},\frac{1}{G}\right) $$‐Expansion Method and Regularization‐Based Neural Networks

open access: yesMathematical Methods in the Applied Sciences, Volume 49, Issue 9, Page 9814-9831, June 2026.
ABSTRACT Nonlinear differential equations play a fundamental role in modeling complex physical phenomena across solid‐state physics, hydrodynamics, plasma physics, nonlinear optics, and biological systems. This study focuses on the Shynaray II‐A equation, a relatively less‐explored parametric nonlinear partial differential equation that describes ...
Aamir Farooq   +4 more
wiley   +1 more source

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