Results 131 to 140 of about 4,010 (268)

A new drag and lift correlation for spherocylinders from fully resolved Immersed Boundary Method

AIChE Journal, EarlyView.
Abstract Many industrial processes deal with non‐spherical particles, e.g., mineral mining and biomass conversion. It is crucial to understand the particles' hydrodynamics to control and optimize these processes. To extend the current state‐of‐the‐art from arrays of spherical particles to spherocylindrical particles, we performed extensive particle ...
A. H. Huijgen, Y. Sterkenburgh, Y. Tang, N. G. Deen, M. W. Baltussen   +4 more
wiley   +1 more source

Deep Learning‐Assisted Coherent Raman Scattering Microscopy

Advanced Intelligent Discovery, EarlyView.
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

DFT analysis of the [3 + 2] heterocyclization reaction of ((1,2,4-triazole(1,3,4-oxadiazole)-3(2)-yl)methyl)thiopyrimidines

Aktualʹnì Pitannâ Farmacevtičnoï ì Medičnoï Nauki ta Praktiki
The article examines the mechanisms of the heterocyclization reaction using density functional theory (DFT) methods. A quantum-chemical analysis of the starting compounds, transition states, and products was conducted, with energy barriers and key ...
Yu. V. Karpenko
doaj   +1 more source

AI‐BioMech: Deep Learning Prediction of Mechanical Behavior in Aperiodic Biological Cellular Materials

Advanced Intelligent Discovery, EarlyView.
AI‐BioMech is a deep learning framework that predicts the mechanical behavior of biological cellular materials directly from 2D images. By replacing traditional finite element analysis with semantic segmentation, it identifies stress and strain distributions with 99% accuracy, offering a high‐speed, scalable alternative for analyzing complex, aperiodic
Haleema Sadia, Marcelo A. Dias, Parvez Alam   +2 more
wiley   +1 more source

Applications of Key Recovery Cube-attack-like? [PDF]

, 2015
. In this paper, we describe a variant of the cube attack with much better-understood Preprocessing Phase, where complexity can be calculated without running the actual experiments and random-like search for the cubes.
Josef Pieprzyk, Marian Srebrny, Micha L Straus, Michal Straus, Pawel Morawiecki, Pawe L Morawiecki   +5 more
core  

Design, Control, and Clinical Applications of Magnetic Actuation Systems: Challenges and Opportunities

Advanced Intelligent Systems, Volume 7, Issue 3, March 2025.
This review aims to provide a broad understanding for interdisciplinary researchers in engineering and clinical applications. It addresses the development and control of magnetic actuation systems (MASs) in clinical surgeries and their revolutionary effects in multiple clinical applications.
Yingxin Huo, Lidong Yang, Tiantian Xu, Dong Sun   +3 more
wiley   +1 more source

Automated Dynamic Cube Attack on Block Ciphers: Cryptanalysis of SIMON and KATAN [PDF]

, 2015
. A few work has ever been performed in cryptanalysis of block ciphers using cube attacks. This paper presents a new framework for an efficient key recovery attack on block ciphers based on cube technique.
Zahra Ahmadian, Mohammad Reza Aref, Shahram Rasoolzadeh, Mahmoud Salmasizadeh   +3 more
core  

Modular Electronic Microrobots With Onboard Sensor‐Program‐Steered Locomotion

Advanced Intelligent Systems, EarlyView.
Modular electronic smartlet microrobots integrate ambient‐light energy harvesting, photodetection, programmable CMOS control, and bubble‐based actuation within a sub‐millimeter fold‐up architecture. A 58‐bit on‐board CMOS chiplet enables sensor–program steered switching between independently addressable actuators, achieving closed‐loop 2D navigation in
Vineeth K. Bandari, Yeji Lee, Pranathi Adluri, Daniil Karnaushenko, Dmitriy D. Karnaushenko, John S. McCaskill, Oliver G. Schmidt   +6 more
wiley   +1 more source

AI‐Assisted IoT‐Enabled ECG Monitoring: Integrating Foundational and Generative AI Tools for Sustainable Smart Healthcare—Recent Trends

AI &Innovation, EarlyView.
ABSTRACT The rapid evolution of the Internet of Things (IoT) has significantly advanced the field of electrocardiogram (ECG) monitoring, enabling real‐time, remote, and patient‐centric cardiac care. This paper presents a comprehensive survey of AI assisted IoT‐based ECG monitoring systems, focusing on the integration of emerging technologies such as ...
Amrita Choudhury, Kandarpa Kumar Sarma, Lachit Dutta   +2 more
wiley   +1 more source

Development and Characterization of ZnO‐Filled and Maleic Anhydride‐Compatibilized PP/SEBS Blends for 3D‐Printing Filaments

Journal of Applied Polymer Science, EarlyView.
PP/SEBS/MA/ZnO filaments produced by bench‐top single‐screw extrusion show refined morphology, increased crystallinity, improved thermal robustness, and preliminary FFF printability, demonstrating a practical route for functional filament development. ABSTRACT Currently, single‐screw extrusion offers a versatile and accessible route to produce polymer ...
Chiara das Dores do Nascimento, Cesar Aguzzoli, Everton Granemann Souza, Ana Cristina Beitia Kraemer Moraes, Fabricio Celso, Patricia Oliveira Schmitt, Lincoln Audrew Cordeiro, Fernanda Langone, Marlon Bender Bueno Rodrigues, Luana Vaz Tholozan, Neftali Lenin Villarreal Carreno, André Luiz Missio, Amanda Dantas de Oliveira   +12 more
wiley   +1 more source