Results 151 to 160 of about 52,983 (297)

Bona Fide Intersegmental Plane Hepatectomy Along the Glissonean Branches (BIPHG)

Annals of Gastroenterological Surgery, EarlyView.
ABSTRACT This review traces the author's personal journey over three decades in the evolution of liver resection techniques, culminating in the proposal of the Bona Fide Intersegmental Plane Hepatectomy Along Glissonean Branches (BIPHG). Beginning with pioneering experiences in laparoscopic and robotic liver surgeries, the author highlights key ...
Go Wakabayashi, Taiga Wakabayashi
wiley   +1 more source

CrossMatAgent: AI‐Assisted Design of Manufacturable Metamaterial Patterns via Multi‐Agent Generative Framework

Advanced Intelligent Discovery, EarlyView.
CrossMatAgent is a multi‐agent framework that combines large language models and diffusion‐based generative AI to automate metamaterial design. By coordinating task‐specific agents—such as describer, architect, and builder—it transforms user‐provided image prompts into high‐fidelity, printable lattice patterns.
Jie Tian, Martin Taylor Sobczak, Dhanush Patil, Jixin Hou, Lin Pang, Arunachalam Ramanathan, Libin Yang, Xianyan Chen, Yuval Golan, Xiaoming Zhai, Hongyue Sun, Kenan Song, Xianqiao Wang   +12 more
wiley   +1 more source

Shape Effect and Accuracy Analysis of Rock Tensile Strength Test

Applied Sciences
To investigate the influence of shape effects on the tensile strength of rocks, splitting tests were conducted on disc specimens with the same thickness-to-diameter ratio but different diameters using physical similarity simulation and numerical ...
Junjie Pei, Jinchang Zhao, Shaoqing Niu
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

Data‐Driven Design of Bimodal Networked Dielectric Elastomers for High‐Performance Artificial Muscles

Advanced Intelligent Systems, EarlyView.
A data‐efficient artificial intelligence‐assisted framework, which integrates experimental data with machine learning, is developed for the design of bimodal networked dielectric elastomers (DEs) as advanced artificial muscles. It adopts neural networks to predict DEs’ mechanical properties and support vector machines to classify electromechanical ...
Ofoq Normahmedov, Hanzhi Ma, Junbo Peng, Huifeng Dong, Jiangshan Zhuo, Mengke Shi, Lvting Wang, Shengchao Jiang, Ye Shi   +8 more
wiley   +1 more source

Deep Learning Approaches for Classifying Crack States With Overload and Predicting Fatigue Parameters in a Titanium Alloy

Advanced Intelligent Systems, EarlyView.
This study proposes a deep learning approach to evaluate the fatigue crack behavior in metals under overload conditions. Using digital image correlation to capture the strain near crack tips, convolutional neural networks classify crack states as normal, overload, or recovery, and accurately predict fatigue parameters.
Seon Du Choi, Suman Timilsina, Youn Woo Shin, Yong Nam Kwon, Kee‐Sun Sohn, Ji Sik Kim   +5 more
wiley   +1 more source

Field‐Programable Dynamics in a Soft Magnetic Actuator Enabling True Random Number Generation and Reservoir Computing

Advanced Intelligent Systems, EarlyView.
Complex dynamics, often avoided in electromechanical design, can enhance soft robotics. We develop durable magnetic soft actuators operating in tunable dynamic regimes, enabling random number generation, stochastic computing, and time‐series prediction.
Eduardo Sergio Oliveros‐Mata, Oleksandr V. Pylypovskyi, Eleonora Raimondo, Rico Illing, Yevhen Zabila, Lin Guo, Guannan Mu, Mónica Navarro López, Xu Wang, Georgios Tzortzinis, Angelos Filippatos, Gilbert Santiago Cañón Bermúdez, Francesca Garescì, Giovanni Finocchio, Denys Makarov   +14 more
wiley   +1 more source

Trabecular bone ontogeny of the human talus

The Anatomical Record, EarlyView.
Abstract Studies of trabecular ontogeny may provide insight into the factors that drive healthy bone development. There is a growing understanding of how the juvenile skeleton responds to these influences; however, gaps in our knowledge remain. This study aims to identify ontogenetic trabecular patterns and regional changes during development within ...
Rebecca A. G. Reid, Catriona Davies, Craig Cunningham   +2 more
wiley   +1 more source

Some Properties of Concrete Contains Waste Concrete as Fine Aggregate

Journal of Engineering and Sustainable Development, 2014
In this research, experimental investigations have been carried out to assess the effect of partial replacement of fine aggregate by crushed concrete passed through a sieve size of No.
Jawad Talib Abodi
doaj  

Fiber‐type soft bioelectronics for wearable and implantable sensing and therapy

BMEMat, EarlyView.
Fiber‐type soft bioelectronics are emerging as versatile platforms for wearable and implantable health monitoring and therapeutic applications. These bioelectronics use organic and inorganic matrices combined with advanced fillers, which feature high conductivity, electrochemical sensitivity, softness, and biocompatibility.
Haneul Kim, Hak Yong Kim, Ja Hoon Koo, Gi Doo Cha, Dae‐Hyeong Kim, Hye Jin Kim   +5 more
wiley   +1 more source