Results 61 to 70 of about 307,816 (329)

Uhl's anomaly detected in‐utero [PDF]

Australasian Journal of Ultrasound in Medicine, 2014
AbstractUhl's anomaly is rarely diagnosed antenatally. It is a condition characterised by partial or complete absence of the right ventricular myocardium and the heart conducting system. We present a case of Uhl's anomaly diagnosed during fetal life on prenatal ultrasound, with eight years postnatal follow‐up.
Philippa Ramsay, Marta K Matic, Rodney Kirsop   +2 more
openaire   +3 more sources

Bioengineering facets of the tumor microenvironment in 3D tumor models: insights into cellular, biophysical and biochemical interactions

FEBS Open Bio, EarlyView.
The tumor microenvironment is a dynamic, multifaceted complex system of interdependent cellular, biochemical, and biophysical components. Three‐dimensional in vitro models of the tumor microenvironment enable a better understanding of these interactions and their impact on cancer progression and therapeutic resistance.
Salma T. Rafik, Deniz Bakkalci, Alexander J. MacRobert, Umber Cheema   +3 more
wiley   +1 more source

Anomaly Detection Based on Indicators Aggregation

, 2014
Automatic anomaly detection is a major issue in various areas. Beyond mere detection, the identification of the source of the problem that produced the anomaly is also essential.
Cottrell, Marie, Lacaille, Jérôme, Rabenoro, Tsirizo, Rossi, Fabrice   +3 more
core   +3 more sources

Harborfront Anomaly Detection

Neural Processing Letters
Abstract Creating high-quality datasets for the task of video anomaly detection is challenging due to a subjective anomaly definition and the rarity of anomalies, which oust the possibility of obtaining statistically significant data. This results in datasets where anomalies are placed in a single category, and are often considered less ...
Dueholm, Jacob Velling, Siemon, Mia Sandra Nicole, Ionescu, Radu Tudor, Moeslund, Thomas B., Nasrollahi, Kamal   +4 more
openaire   +2 more sources

Data‐driven forecasting of ship motions in waves using machine learning and dynamic mode decomposition

International Journal of Adaptive Control and Signal Processing, EarlyView.
Summary Data‐driven forecasting of ship motions in waves is investigated through feedforward and recurrent neural networks as well as dynamic mode decomposition. The goal is to predict future ship motion variables based on past data collected on the field, using equation‐free approaches.
Matteo Diez, Mauro Gaggero, Andrea Serani   +2 more
wiley   +1 more source

Influence of a Standard Heat Treatment on the Microstructure and Properties of Inconel X‐750 Produced by Laser Powder Bed Fusion

Advanced Engineering Materials, EarlyView.
Ni‐base superalloys produced using additive manufacturing (AM) have a different response to heat treatments when compared to their conventional counterparts. Due to such unpredictability, various alloys with industrial interest are currently overlooked in most prior AM research.
Guilherme Maziero Volpato, Adriano de Souza Pinto Pereira, Steffen Neumeier, Dachamir Hotza, Mathias Göken, Ulrich Tetzlaff, Márcio Celso Fredel   +6 more
wiley   +1 more source

Anomaly detection by robust statistics [PDF]

WIREs Data Mining and Knowledge Discovery, 2017
Real data often contain anomalous cases, also known as outliers. These may spoil the resulting analysis but they may also contain valuable information. In either case, the ability to detect such anomalies is essential. A useful tool for this purpose is robust statistics, which aims to detect the outliers by first fitting the majority of the data and ...
Peter J. Rousseeuw, Mia Hubert
openaire   +4 more sources

Multimodal Characterization Method for Metamaterials with Tunable Mechanical Stiffness and Electrical Resistivity

Advanced Engineering Materials, EarlyView.
This study presents a multimodal characterization method for a prototype metamaterial model structure that features four distinct states of mechanical stiffness and electrical resistivity. Through simulations and experiments, it uncovers insights into the structural behavior, the correlation between changes in electrical resistivity and mechanical ...
Rebecca Kose, Michael Mathias Becker, Martin Schuppmann, Sarah Christine Lidwina Fischer   +3 more
wiley   +1 more source

Joule‐Assisted Nanotherapeutic Urethral Stent (JANUS) for Spatiotemporal Theragenerative Treatment of Urethral Strictures

Advanced Functional Materials, EarlyView.
Joule‐assisted nanotherapeutic urethral stent harnesses a smart, biodegradable magnesium stent to orchestrate spatiotemporal theragenerative therapy for urethral strictures. Magnetically induced Joule heating enables on‐demand drug release and bacterial ablation, while simultaneously guiding urothelial regeneration.
Yuhyun Na, Yubeen Park, Hyun Lee, Song Hee Kim, Seojoon Bang, Hyeong Seok Kang, Chan Ho Moon, Ju Yeong Gwon, Jong Hwa Seo, Min‐Ho Kang, Soo‐Hong Lee, Gi Doo Cha, Wooram Park, Heemin Kang, Jung‐Hoon Park, Hyun‐Do Jung   +15 more
wiley   +1 more source

Internal Temperature Evolution Metrology and Analytics in Li‐Ion Cells

Advanced Functional Materials, EarlyView.
This study investigates the non‐linear evolution of internal temperatures across diverse operating conditions, highlighting the disparities between internal and external measurements and the resulting thermal asymmetries. The coupled thermo‐electrochemical modeling framework provides a comprehensive analysis of various heat generation modes, examining ...
Anuththara S. J. Alujjage, Bairav S. Vishnugopi, Avijit Karmakar, David P. Magee, Yevgen Barsukov, Partha P. Mukherjee   +5 more
wiley   +1 more source