Results 131 to 140 of about 55,506 (254)

In Situ Colloidal Activated Carbon for PFAS Remediation in Groundwater: Principles, Performance Expectations, and Lessons from the First Decade

Groundwater Monitoring &Remediation, EarlyView.
Abstract Injectable colloidal activated carbon (CAC) has been commercially used to remediate per and polyfluoroalkyl substances (PFAS) in groundwater since 2016. The basis of the technology is enhanced PFAS retention within the aquifer from engineered increases in aquifer‐matrix sorptivity (“PFAS enhanced retention”), with re‐equilibration from the ...
Jeremy Birnstingl
wiley   +1 more source

Dynamical simulation of on‐axis transmission Kikuchi and spot diffraction patterns, based on accurate diffraction geometry calibration

Journal of Microscopy, EarlyView.
Abstract Transmission Kikuchi diffraction in the scanning electron microscope has gained popularity as a materials characterisation technique for its high throughput and nanometre‐level spatial resolution. While conventional diffraction pattern analysis routines focus on Kikuchi bands on the diffraction patterns, the full physical picture of electron ...
Tianbi Zhang, Raynald Gauvin, Aimo Winkelmann, T. Ben Britton   +3 more
wiley   +1 more source

Measure‐valued processes for energy markets

Mathematical Finance, Volume 35, Issue 2, Page 520-566, April 2025.
Abstract We introduce a framework that allows to employ (non‐negative) measure‐valued processes for energy market modeling, in particular for electricity and gas futures. Interpreting the process' spatial structure as time to maturity, we show how the Heath–Jarrow–Morton approach can be translated to this framework, thus guaranteeing arbitrage free ...
Christa Cuchiero, Luca Di Persio, Francesco Guida, Sara Svaluto‐Ferro   +3 more
wiley   +1 more source

Analysis of the generalization ability of neural networks based on the NN-MPS-interpolation model

AIP Advances
This paper combines the Moving Particle Semi-implicit (MPS) method with neural networks to construct a data-driven model, which is then applied to solve the Poisson equation, aiming to reduce computational resource consumption.
Bo-Tao Wang, Zhe Sun, Li-Yuan Dou
doaj   +1 more source

Computational analysis to assess hemodynamic forces in descending thoracic aortic aneurysms

The Journal of Physiology, EarlyView.
Abstract figure legend Left: Pre‐processing. First, we perform the segmentation of the Computer Tomography angiorgraphy (angio‐CT) scans of a healthy patient, obtaining the surface of a healthy thoracic aorta with a Type III aortic arch. Then, we build nine ideal configurations with Descending Thoracic Aortic Aneurysm (DTAA), varying the aortic arch ...
Francesca Duca, Daniele Bissacco, Luca Crugnola, Chiara Faitini, Maurizio Domanin, Francesco Migliavacca, Santi Trimarchi, Christian Vergara   +7 more
wiley   +1 more source

Whose role is it anyway? Paraprofessionals' conceptualisations, actions and challenges in promoting social participation

Journal of Research in Special Educational Needs, Volume 26, Issue 3, July 2026.
Abstract Paraprofessional support is considered a key resource for promoting the inclusion and social participation of students with special educational needs. Despite ongoing debates surrounding its effectiveness, little is known about how paraprofessionals themselves conceptualise social participation, or whether they view its facilitation as part of
Eva Kemler, Ulla Licandro
wiley   +1 more source

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

Psychology &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, Kosuke Motoki, Olivia Petit, Aram Nikolai Andersen, Marzieh Alaei, Anders Gustafsson   +5 more
wiley   +1 more source

Opportunities and challenges in protein structure prediction

Quantitative Biology, Volume 14, Issue 2, June 2026.
Abstract Deep learning methods, particularly exemplified by AlphaFold2, have revolutionized the field of protein structure prediction—an achievement recognized by the 2024 Nobel Prize in Chemistry awarded to its core developers. Despite this remarkable achievement, the broader protein folding problem is far from solved. Key challenges—each representing
Wenkai Wang, Baoquan Su, Chenxiao Xiang, Jianyi Yang   +3 more
wiley   +1 more source

GPU-acceleration for Moving Particle Semi-Implicit method

GPU-acceleration for Moving Particle Semi-Implicit method
The MPS (Moving Particle Semi-implicit) method has been proven useful in computation free-surface hydrodynamic flows. Despite its applicability, one of its drawbacks in practical application is the high computational load. On the other hand, Graphics Processing Unit (GPU), which was originally developed for acceleration of computer graphics, now ...
openaire  

Perspectives On Machine Learning Inference Serving in Real‐World Settings

Software: Practice and Experience, Volume 56, Issue 6, Page 734-757, June 2026.
ABSTRACT Introduction As machine learning (ML)‐enabled systems become increasingly prevalent across industries, the engineering challenges of deploying and maintaining them in production have emerged as critical. The existing engineering knowledge base often derives from conceptual frameworks or case studies conducted by large technology companies ...
Dennis Muiruri, Lucy Ellen Lwakatare, Jukka K. Nurminen, Tommi Mikkonen   +3 more
wiley   +1 more source