Results 171 to 180 of about 246,356 (342)

Physiotherapy Management in Postoperative Anterior Cruciate Ligament

, 2023
Irianto Irianto, Bustaman Wahab, Nur Ainun, Anastasya Fanny Sirenden, Gita Safirah Nuskin   +4 more
openalex   +2 more sources

Artificial Intelligence‐Driven Insights into Electrospinning: Machine Learning Models to Predict Cotton‐Wool‐Like Structure of Electrospun Fibers

Advanced Intelligent Discovery, EarlyView.
Electrospinning allows the fabrication of fibrous 3D cotton‐wool‐like scaffolds for tissue engineering. Optimizing this process traditionally relies on trial‐and‐error approaches, and artificial intelligence (AI)‐based tools can support it, with the prediction of fiber properties. This work uses machine learning to classify and predict the structure of
Paolo D’Elia, Giovanna Pappalardo, Aldo R. Boccaccini, Liliana Liverani   +3 more
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

Biomechanical evaluation of native acromioclavicular joint ligaments and two reconstruction techniques in the presence of the sternoclavicular joint: A cadaver study [PDF]

, 2017
Povilas Masionis, Igoris Šatkauskas, Vytautas Mikelevičius, Sigitas Ryliškis, Vytautas Bučinskas, Julius Griškevičius, Xavier Martín Oliva, Mariano Monzó, Narūnas Porvaneckas, Valentinas Uvarovas   +9 more
openalex   +1 more source

Deep Learning‐Assisted Design of Mechanical Metamaterials

Advanced Intelligent Discovery, EarlyView.
This review examines the role of data‐driven deep learning methodologies in advancing mechanical metamaterial design, focusing on the specific methodologies, applications, challenges, and outlooks of this field. Mechanical metamaterials (MMs), characterized by their extraordinary mechanical behaviors derived from architected microstructures, have ...
Zisheng Zong, Pu Wen, Zhiping Chai, Dunxuan Wu, Han Ding, Zhigang Wu   +5 more
wiley   +1 more source

AI‐Driven Predictive Design and Functionalization of Three Dimensional‐Printed PEEK Implants with Tryptophan‐Enriched Alginate Hydrogel for Enhanced Biomimetic Surface Performance

Advanced Intelligent Systems, EarlyView.
This study introduces an AI‐guided strategy to design 3D‐printed PEEK implants functionalized with a tryptophan‐enriched alginate hydrogel (TRYALPEEK). The modification improves hydrophilicity, reduces surface roughness, enhances cytocompatibility, and optimizes stress distribution. The platform offers a promising route for personalized implant design,
Wafa Benaatou, Desirae Nance, Denisse A Gutierrez, Renato J Aguilera, Armando Varela‐Ramirez, Filiz Yagci, Emir Esim, Mahesh Narayan, Mohamed Noufal   +8 more
wiley   +1 more source

Biologically Augmented Quadriceps Tendon Autograft With Platelet-Rich Plasma for Anterior Cruciate Ligament Reconstruction [PDF]

, 2018
Jorge Chahla, Mark E. Cinque, Bert R. Mandelbaum   +2 more
openalex   +1 more source

A Review of Trans‐Dimensional Kirigami: From Compliant Mechanism to Multifunctional Robot

Advanced Intelligent Systems, EarlyView.
This review outlines recent advancements in the geometric design and mechanical properties of kirigami. The kirigami is classified into two categories from a compliant mechanism perspective, highlighting their applications in metamaterials and robotic systems. Finally, the future research directions, is explored focusing on the potential of integrating
Yang Yu, Jinyao Zhang, Dengchen Wang, Yanqi Yin, Yehui Wu, Ruiyu Bai, Jiaqiang Yao, Yupei Zhang, Jingwen Yin, Chao Tang, Alexey S. Fomin, Wenjie Sun, Chen Liu, Bo Li, Guimin Chen   +14 more
wiley   +1 more source

Investigation of Super*Zip separation joint [PDF]

An investigation to determine the most likely cause of two failures of five tests on 79 inch diameter Lockheed Super*Zip spacecraft separation joints being used for the development of a Shuttle/Centaur propulsion system.
Bement, Laurence J., Schimmel, Morry L.
core   +1 more source

Ligament

, 2021
Daniel Bell, Raymond Chieng, Andrew Murphy   +2 more
openaire   +1 more source