Results 111 to 120 of about 8,222 (295)

Integrating Time‐Adjusted Imaging Instability Into Functional Outcome Prediction After Intracerebral Hemorrhage: Development and Validation of the HAGIV Score

Annals of Clinical and Translational Neurology, EarlyView.
ABSTRACT Objective Early risk stratification may support clinical decision‐making in spontaneous intracerebral hemorrhage (ICH). We aimed to develop and internally validate HAGIV, a score integrating frequency of imaging markers (FIM), a time‐adjusted non‐contrast computed tomography (CT) metric of hematoma expansion, with established predictors for 90‐
Lei Song, Ren Ke, Anqi Chen, Yufei Fu, Hang Zhou, Rujia Wang, Liwei Zou, Yongqiang Yu, Ming Yuan, Xiaoming Qiu, Mengzhou Xue   +10 more
wiley   +1 more source

Network Sliced Distributed Learning-as-a-Service for Internet of Vehicles Applications in 6G Non-Terrestrial Network Scenarios

Journal of Sensor and Actuator Networks
In the rapidly evolving landscape of next-generation 6G systems, the integration of AI functions to orchestrate network resources and meet stringent user requirements is a key focus. Distributed Learning (DL), a promising set of techniques that shape the
David Naseh, Swapnil Sadashiv Shinde, Daniele Tarchi   +2 more
doaj   +1 more source

A 57‐Year‐Old Male With Behavioral Variant Frontotemporal Dementia and MATR3 and NOS3 Mutations

Annals of Clinical and Translational Neurology, EarlyView.
ABSTRACT This report presents a case of behavioral variant frontotemporal dementia caused by mutations in the MATR3 and NOS3 genes, aiming to analyze its clinical manifestations and genetic characteristics. For a case presenting with personality changes and gait abnormalities as the initial symptoms, this study conducted a comprehensive analysis of its
Feifei Lin, Saie Huang
wiley   +1 more source

Light-Weight Instruction Set Extensions for Bit-Sliced Cryptography [PDF]

, 2008
Bit-slicing is a non-conventional implementation technique for cryptographic software where an n-bit processor is considered as a collection of n1-bit execution units operating in SIMD mode. Particularly when implementing symmetric ciphers, the bit-slicing approach has several advantages over more conventional alternatives: it often allows one to ...
Philipp Grabher, Johann Großschädl, Dan Page   +2 more
openaire   +1 more source

Characterization of Defect Distribution in an Additively Manufactured AlSi10Mg as a Function of Processing Parameters and Correlations with Extreme Value Statistics

Advanced Engineering Materials, EarlyView.
Predicting extreme defects in additive manufacturing remains a key challenge limiting its structural reliability. This study proposes a statistical framework that integrates Extreme Value Theory with advanced process indicators to explore defect–process relationships and improve the estimation of critical defect sizes. The approach provides a basis for
Muhammad Muteeb Butt, Varma Kvvssn, Hossein Laieghi, Zia Uddin, Peyman Ansari, E. Kıvanç Sadak, Can Barış Toprak, Hüseyin Kızıl, Enrico Salvati   +8 more
wiley   +1 more source

Prediction of Surface Topography Parameters in Direct Laser Interference Patterning of Stainless Steel Using Infrared Monitoring and Convolutional Neural Networks

Advanced Engineering Materials, EarlyView.
This study presents an infrared monitoring approach for direct laser interference patterning (DLIP) combined with a convolutional neural network (CNN). Thermal emission data captured during structuring are used to predict surface topography parameters.
Lukas Olawsky, Marcelo Sallese, Leander Kläber, Clemens Kuhn, Keming Du, Andrés Fabián Lasagni   +5 more
wiley   +1 more source

Additive Gaussian Process Regression for Predictive Design of High‐Performance, Printable Silicones

Advanced Engineering Materials, EarlyView.
A chemistry‐aware design framework for tuning printable polydimethylsiloxane (PDMS) for vat photopolymerization (VPP) is developed using additive Gaussian process (GP) modeling. Polymer network mechanics informs variable groupings, feasible formulation constraints, and interaction variables.
Roxana Carbonell, Martha Leach, Hongtao Song, Carolyn Seepersad   +3 more
wiley   +1 more source

Development of a low-cost robotized 3D-prototype for automated optical microscopy diagnosis: An open-source system.

PLoS ONE
In a clinical context, conventional optical microscopy is commonly used for the visualization of biological samples for diagnosis. However, the availability of molecular techniques and rapid diagnostic tests are reducing the use of conventional ...
Allisson Dantas de Oliveira, Carles Rubio Maturana, Francesc Zarzuela Serrat, Bruno Motta Carvalho, Elena Sulleiro, Clara Prats, Anna Veiga, Mercedes Bosch, Javier Zulueta, Alberto Abelló, Elisa Sayrol, Joan Joseph-Munné, Daniel López-Codina   +12 more
doaj   +1 more source

Enhancing Strength and Electrical Conductivity in Al–Zr–Sc Conductor Alloys Through Sn and Sr Microalloying and Two‐Step Aging Treatment

Advanced Engineering Materials, EarlyView.
Trace additions of Sn and Sr combined with a two‐step aging treatment are shown to enhance the microstructure and performance of Al–Zr–Sc conductor alloys. Strength and electrical conductivity increase concurrently through accelerated precipitation of fine Al3(Sc, Zr) precipitates and improved dislocation resistance, offering a cost‐effective pathway ...
Quan Shao, Emad M. Elgallad, Alexandre Maltais, X.‐Grant Chen   +3 more
wiley   +1 more source

Thematic Mapping and Evolution of Social Media Mining in Health Research: Hybrid Bibliometric Synthesis

Journal of Medical Internet Research
BackgroundSocial media platforms offer extensive data, as they are widely used globally. Social media mining (SMM) enables real-time monitoring of user-reported health information and serves as a supplement to traditional health data analytics.
Mia Jiming Yang, Sabine Bohnet-Joschko
doaj   +1 more source