Results 61 to 70 of about 981,951 (245)

The effect of foot orthoses on midfoot pain and the volume of bone marrow lesions in the midfoot: a randomized mechanism of action study

Arthritis Care &Research, Accepted Article.
Objective Foot orthoses are thought to improve pain by potentially modifying internal mechanical forces. To test this, we explored whether foot orthoses can modify patterns of bone marrow lesions (BMLs) in people with midfoot pain. Methods Forty‐two people were recruited with midfoot pain and MRI‐confirmed midfoot BMLs.
Jill Halstead, Anne‐Maree Keenan, Philip G. Conaghan, Dennis McGonagle, Anthony C. Redmond   +4 more
wiley   +1 more source

Optimized Time–Frequency Analysis for Induction Motor Fault Detection Using Hybrid Differential Evolution and Deep Learning Techniques

International Journal of Adaptive Control and Signal Processing, EarlyView.
Workflow of the parameter optimization process for ITSC fault detection, applying Differential Evolution optimization and the Smooth Pseudo Wigner‐Ville Distribution for signal processing. The optimized parameters are then used in the failure identification pipeline, which combines the signal processing with a YOLO‐based architecture for fault severity
Rafael Martini Silva, Avyner Lorran de Oliveira Vitor, Marcelo Favoretto Castoldi, Alessandro Goedtel, Wesley Angelino Souza   +4 more
wiley   +1 more source

Loss of Stat3 in Prx1+ Progenitors Impairs Molar Root Development

Advanced Biology, EarlyView.
Stat3 critically regulates mandibular first molar and alveolar bone morphogenesis. Conditional ablation of Stat3 disrupts the osteogenic capacity of Prx1+ mesenchymal progenitors, as evidenced across in vivo and in vitro models. Abstract Signal Transducer and Activator of Transcription 3 (Stat3) acts as a central transcriptional modulator coordinating ...
Xin Feng, Wangyu Luo, Yichen Yao, Lichieh Lin, Laiting Chan, Jiarui Lu, Zijing Huang, Jingyi Feng, Le Zhao, Xiaolei Zhang, Liu Yang   +10 more
wiley   +1 more source

Fatigue life prediction of 316 stainless steel in simulated PWR primary water by time domain analysis based on short fatigue crack growth behavior

Mechanical Engineering Journal, 2017
The fatigue life of austenitic stainless steel is significantly reduced in the environment of a pressurized water reactor (PWR). One of the methods for evaluating the environmental effect involves the use of the environmental correction factor (Fen ...
Choongmoo SHIM, Yoichi TAKEDA, Tetsuo SHOJI   +2 more
doaj   +1 more source

Bridging Nature and Technology: A Perspective on Role of Machine Learning in Bioinspired Ceramics

Advanced Engineering Materials, EarlyView.
Machine learning (ML) is revolutionizing the development of bioinspired ceramics. This article investigates how ML can be used to design new ceramic materials with exceptional performance, inspired by the structures found in nature. The research highlights how ML can predict material properties, optimize designs, and create advanced models to unlock a ...
Hamidreza Yazdani Sarvestani, Aditi Singh, Behnam Ashrafi   +2 more
wiley   +1 more source

Bistable Mechanisms 3D Printing for Mechanically Programmable Vibration Control

Advanced Engineering Materials, EarlyView.
This work introduces a 3D‐printed bistable mechanism integrated into tuned mass dampers (TMDs) for mechanically adaptive passive vibration suppression. Through optimized geometry, the bistable design provides adaptable vibration reduction across a broad range of scenarios, achieving effective vibration mitigation without complex controls or external ...
Ali Zolfagharian, Frédéric Demoly, Mohammad Lakhi, Bernard Rolfe, Mahdi Bodaghi   +4 more
wiley   +1 more source

Robocasting of a Water‐Based Biopolymer/WO3 Nanopowder Paste as a Precursor to Tungsten Carbide Lattices

Advanced Engineering Materials, EarlyView.
This study demonstrates a novel, additive manufacturing approach to produce complex, porous tungsten carbide structures using water‐based direct ink writing/robocasting. Leveraging a modified commercial printer and heat treatment, the process yields lightweight, electrically conductive 3D architectures capable of supporting a mechanical load.
James Bentley Bevis, Manasi Shah, Sanketh Gombi, Rodrigo Martinez‐Duarte   +3 more
wiley   +1 more source

Mechanical damage behavior of metal matrix composites with the arbitrary morphology of particles

Journal of Materials Research and Technology, 2020
Metal matrix composites have significant applications in the engineering field. During service, the fracture is one of the most typical failure modes.
Yan-Yan Zhang, Ri-Lin Shen, Mu-Zi Li, Jian-Chao Pang, Lin Zhang, Shou-Xin Li, Zhe-Feng Zhang   +6 more
doaj   +1 more source

Beyond Order: Perspectives on Leveraging Machine Learning for Disordered Materials

Advanced Engineering Materials, EarlyView.
This article explores how machine learning (ML) revolutionizes the study and design of disordered materials by uncovering hidden patterns, predicting properties, and optimizing multiscale structures. It highlights key advancements, including generative models, graph neural networks, and hybrid ML‐physics methods, addressing challenges like data ...
Hamidreza Yazdani Sarvestani, Surabhi Nadigotti, Erfan Fatehi, Derek Aranguren van Egmond, Behnam Ashrafi   +4 more
wiley   +1 more source

Effect of Water Aging on the Mechanical Properties of Hybrid Carbon/Aramid Reinforced Thermoplastic Composites

Advanced Engineering Materials, EarlyView.
This study investigates the mechanical properties of Carbon/Aramid intraply hybrid fiber‐reinforced Elium composites under 6 months of water aging. After aging, flexural strength decreases by 25.89%, tensile strength by 4.40%, and fracture toughness by 21.56%.
Muhammed Huseyin Guzel, Gurol Onal
wiley   +1 more source