Results 41 to 50 of about 126 (115)

ParamNet: A Physics‐Guided Deep Learning Framework for Intelligent Self‐Inversion of Vacuum Optical Levitation Systems

Advanced Intelligent Systems, Volume 8, Issue 8, August 2026.
A physics‐guided deep learning framework, ParamNet, is introduced for the intelligent self‐inversion of vacuum optical tweezers. By fuzing dual‐branch time–frequency features with physical dynamical constraints, it achieves high‐accuracy calibration of trap parameters from short‐window, low‐frequency trajectories, outperforming traditional methods ...
Qi Zheng, Wenfeng Fan, Feng Li, Jian Wu, Wei Quan   +4 more
wiley   +1 more source

A multidisciplinary experimental and methodological investigation of electron and proton minibeams in the framework of the INFN MIRO project

Medical Physics, Volume 53, Issue 8, August 2026.
Abstract Background The clinical translation of Minibeam RT (MBRT) has recently started thanks to the first human treatments recently performed. However, despite experimental evidence, the impact of the dose distribution parameters involved on the magnitude of the effect itself and the underlying radiobiological mechanisms are still only partially ...
Francesco Romano, Francesca Cella Zanacchi, Esther Ciarrocchi, Gaia Franciosini, Giuliana Milluzzo, Emanuele Scifoni, Anna Vignati, Said Ahmad, Silvia Arezzini, Andrea Attili, Marco Battestini, Jacopo Bernardini, Matteo Bettanin, Alessandra Bisio, Maria Giuseppina Bisogni, Igor Bodrenko, Giulio Bordieri, Valentina Bravatà, Alberto Burattini, Massimo Camarda, Francesco Paolo Cammarata, Simone Capaccioli, Lorenzo Castelli, Andrea Cavalieri, Mariagrazia Celentano, Enrica Chiadroni, Francesco Giuseppe Cordoni, Elena Corvaia, Mario Costa, Alessandro Curcio, Eleonora Da Pozzo, Martina De Felice, Francesca Del Debbio, Francesco D'Errico, Maria Cristina D'Oca, Beatrice D'Orsi, Umberto Deut, Elisabetta Durisi, Maria Evelina Fantacci, Stefano Farina, Giuseppe Felici, Arianna Ferro, Luca Ficcadenti, Antonino Formuso, Giusi Irma Forte, Simona Giordanengo, Alessia Giuliano, Lucia Giuliano, Luca Lanzanò, Stefania Linsalata, Simone Lossano, Margherita Maffei, Michela Marafini, Maurizio Marrale, Maurizio Massa, Luigi Masturzo, Enrico Mazzoni, Mauro Migliorati, Felix Mas Milian, Luigi Minafra, Andrea Moggi, Diango Montalvan Olivares, Marco Montefiori, Matteo Morrocchi, Andrea Mostacci, Franco Mostardi, Chinonso Okpuwe, Fabiola Paiar, Luigi Palumbo, Vincenzo Patera, Jake Harold Pensavalle, Gaia Pucci, Flaminia Quattrini, Alessandra Retico, Valeria Rosso, Giorgio Russo, Roberto Sacchi, Alessio Sarti, Silvia Scalisi, Camilla Scapicchio, Angelo Schiavi, Paolo Stochino, Enrica Strettoi, Francesco Tommasino, Valentina Tozzini, Giacomo Traini, Gabriele Trovato, Alice Usai, Francesco Urso, Fabio Di Martino   +89 more
wiley   +1 more source

Field Tests and the Numerical Analysis of a Pile-Net Composite Foundation for an Intelligent Connected Motor-Racing Circuit

Buildings
In response to the problem of significant post-construction settlement that may occur in a motor racing circuit (MRC), two representative composite foundation testing areas, PHC pile (pre-tensioned spun high-strength concrete pile) and CFG pile (cement ...
Xiaonan Wang, Qitao Pei
doaj   +1 more source

Deformation behaviors and variable rigidity design with equilibrium settlement for CFG pile composite foundation of large storage tanks

Yantu gongcheng xuebao, 2018
The foundation of large storage tanks has requirements of large bearing capacity and limited differential settlement. Because the natural foundation generally cannot meet the requirements of bearing capacity and deformation, it needs to be treated. It is
LI Ji-cai 1, 2, LI Neng-hui 1, CONG Jian 1, CAO Yong-lang 1, CAO Jun 1, 2
doaj   +1 more source

Inverse Design of Amorphous Materials With Targeted Properties

Advanced Materials, Volume 38, Issue 39, 13 July 2026.
AMDEN is a diffusion model framework for the inverse design of amorphous materials with targeted properties. By incorporating Hamiltonian Monte Carlo refinement into the denoising process, the framework overcomes the challenge of generating thermally relaxed disordered structures.
Jonas A. Finkler, Yan Lin, Tao Du, Jilin Hu, Morten M. Smedskjaer   +4 more
wiley   +1 more source

Quantitative Detection of Entotic Cell‐In‐Cell Structures Using Deformable Segmentation and Deep Learning

Cytometry Part A, Volume 109, Issue 7, Page 513-531, July 2026.
ABSTRACT Cell‐in‐cell (CIC) structures are among the most intriguing cellular phenomena occasionally observed in human cancer specimens. Once regarded as incidental findings, accumulating evidence has linked specific CIC subtypes, particularly entosis, to tumor progression and patient prognosis.
Maria V. Leyba‐Mesa, Mikołaj Biegański, Elijah Ray, Izabela Młynarczuk‐Bialy, Buket D. Barkana   +4 more
wiley   +1 more source

A Comprehensive Systematic Review of Cyber‐Physical Systems Security: Threats, Challenges, and Defense in ICS/OT Environments

Engineering Reports, Volume 8, Issue 7, July 2026.
Overview of the paper organization, illustrating the hierarchical structure of cybersecurity domains in ICS and CPS, including attack analysis, security approaches, offensive tactics, career guidance, and concluding discussions. ABSTRACT The convergence of operational technology (OT) with IP‐based information systems has exposed industrial control ...
M. A. Khalifa, Ahmad Taher Azar, Walid El‐Shafai   +2 more
wiley   +1 more source

MIDAS: a methodological framework for high‐speed high‐energy diffraction microscopy data reduction. Part I: methodology

Acta Crystallographica Section A, Volume 82, Issue 4, Page 242-255, July 2026.
This paper details the complete methodological framework implemented in the MIDAS software for processing high‐energy diffraction microscopy (HEDM) data. We describe the specific algorithms, coordinate systems and physical models used for both far‐field and near‐field HEDM analysis.
Hemant Sharma, Jun-Sang Park, Peter Kenesei   +2 more
wiley   +1 more source

Engineering a Scalable Laboratory Infrastructure for Assembly Language Scaffolding: Design and Deployment of a Locally Optimized GenAI Assistant for the CODE‐2 Educational Architecture

Computer Applications in Engineering Education, Volume 34, Issue 3, May 2026.
ABSTRACT The transition from high‐level programming to assembly language constitutes a well‐documented pedagogical bottleneck in computer engineering curricula, particularly in large‐cohort laboratory settings where individualized scaffolding cannot scale.
Federico Garcia Crespi
wiley   +1 more source

Metrics‐First, Language‐Aware Clone Type Recognition: Auditable Signals Across C, C#, Java, and Python

Journal of Software: Evolution and Process, Volume 38, Issue 5, May 2026.
ABSTRACT Modern clone research has largely converged on powerful end‐to‐end detectors, yet practitioners still lack auditable guidance on which concrete code characteristics best distinguish clone types and whether those signals transfer across languages.
Nikunj Panchal, Abdul Qayum, Abdul Shahid, Abdul Razzaq   +3 more
wiley   +1 more source