Results 81 to 90 of about 647 (263)

Multi‐Property Machine Learning Models to Accelerate the Transition Toward Bio‐Based Emulsion Polymers

open access: yesAdvanced Intelligent Discovery, EarlyView.
A machine learning framework simultaneously predicts four critical properties of monomers for emulsion polymerization: propagation rate constant, reactivity ratios, glass transition temperature, and water solubility. These tools can be used to systematically identify viable bio‐based monomer pairs as replacements for conventional formulations, with ...
Kiarash Farajzadehahary   +1 more
wiley   +1 more source

Characterization of corrosion products formed in high-strength dual-phase steels under an accelerated corrosion test

open access: yesEngineering Science and Technology, an International Journal
There are some researches in the literature on the mechanical characteristics of dual-phase (DP) steels used in the automotive industry, but there is no comprehensive research on the corrosion behavior of these steels.
Digdem Giray   +4 more
doaj   +1 more source

Patient‐Mounted Neuro Optical Coherence Tomography for Targeted Minimally Invasive Micro‐Resolution Volumetric Imaging in Brain In Vivo

open access: yesAdvanced Intelligent Systems, Volume 7, Issue 3, March 2025.
Herein, a patient‐mounted neuro optical coherence tomography system that integrates a 5 degrees‐of‐freedom skull‐mounted robot (Skullbot) with a 0.6 mm neuroendoscope for targeted, minimally invasive deep brain imaging, is developed. The system offers high‐resolution imaging with precise deployment, demonstrated through successful tumor imaging in a ...
Chao Xu   +7 more
wiley   +1 more source

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

open access: yesAdvanced 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   +5 more
wiley   +1 more source

Exploring the Burden on Patients Living With and Receiving Treatment for Immune Thrombocytopenia (ITP): Patient and Physician Perceptions From the ITP World Impact Survey (I‐WISh) 2.0

open access: yesAmerican Journal of Hematology, EarlyView.
ABSTRACT Limited data exist on how patients and physicians perceive immune thrombocytopenia (ITP) symptoms and treatment‐related burden. I‐WISh (ITP World Impact Survey) 2.0 surveyed 1018 patients and 431 physicians in 15 countries to characterize the impact of ITP and its treatments on patients.
Nichola Cooper   +17 more
wiley   +1 more source

High Strain Rate Properties of High Strength Steel Sheets

open access: yesInternational Journal of Automotive Engineering, 2011
High strain rate properties of sheet steel largely depend on its strength level and strengthening mechanisms. The strain rate sensitivity of flow stress has a close relation with the hardness of a softer phase, which indicates superior strain rate ...
Akihiro Uenishi   +5 more
doaj   +1 more source

Histidine Supplementation Stabilizes Hearing and Vision and Improves Growth in HARS1‐Related Autosomal Recessive Disorder Associated With Usher‐Like Symptoms

open access: yesAmerican Journal of Medical Genetics Part A, EarlyView.
ABSTRACT Autosomal recessive HARS1‐related disorder (originally described as Usher syndrome type 3B) caused by a homozygous Y454S variant in the histidyl‐tRNA synthetase gene (HARS1) is characterized by progressive sensorineural hearing and vision loss and respiratory deterioration with risk for sudden death following febrile illnesses.
Victoria Mok Siu   +23 more
wiley   +1 more source

Grain size effects on strain localization and fracture behavior in ferrite–martensite dual-phase steels characterized by digital image correlation analysis

open access: yesJournal of Materials Research and Technology
Dual-phase (DP) steels, consisting of soft ferrite and hard martensite phases, are widely utilized for their favorable balance of strength and ductility.
Myeong-heom Park   +3 more
doaj   +1 more source

Longitudinal Phenotypic Trajectories in GNAO1‐Related Disorders: Defining Disease Progression and Clinical Profiles

open access: yesAnnals of Neurology, EarlyView.
Objective Pathogenic variants in GNAO1 cause a spectrum of epilepsy, movement disorders, and developmental impairment. Clinical heterogeneity complicates prognosis and therapeutic development. We present the first longitudinal natural history study of GNAO1‐related disorders (GNAO1‐RD) to delineate phenotypic trajectories. Methods Sixty‐six individuals
Jana Domínguez‐Carral   +52 more
wiley   +1 more source

From Marginal to Central: Marginal Zone‐like B Cells as Critical Targets in Cladribine‐Treated Multiple Sclerosis

open access: yesAnnals of Neurology, EarlyView.
Objective Multiple sclerosis (MS) is a chronic autoimmune disease where B cells play a central pathogenic role. Cladribine, an oral therapy, provides durable benefits by reshaping lymphocyte populations, yet its specific long‐term impact on distinct B‐cell subsets is not fully understood.
Marta Pirronello   +20 more
wiley   +1 more source

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