Results 101 to 110 of about 1,554,379 (330)
ABSTRACT Introduction The kappa‐free light chain (κ‐FLC) index is known to be highly sensitive and specific for diagnosing multiple sclerosis (MS), while little is understood about lambda (λ)‐FLC. This study assessed the κ‐FLC and λ‐FLC indices in autoimmune glial fibrillary acidic protein (GFAP) astrocytopathy.
Michael Levraut+11 more
wiley +1 more source
Three-dimensional cellular automaton simulation of austenite grain growth of Fe-1C-1.5Cr alloy steel
A three-dimensional (3D) cellular automaton model describing the austenite grain growth process of Fe-1C-1.5Cr alloy steel is established. This model proposes a discrete representation of the three-dimensional grain boundary curvature, and calculates the
SU Fuyong, LIU Wenli, WEN Zhi
doaj
ABSTRACT Objective We aimed to investigate the comparative effectiveness of standard versus personalized extended interval dosing of anti‐CD20 therapy on clinical and sub‐clinical outcomes in multiple sclerosis. Methods Clinical information was collected prospectively on Research Electronic Data Capture.
Nabil K. El Ayoubi+6 more
wiley +1 more source
Mathematical model for flood routing based on cellular automaton
Increasing frequency and severity of flooding have caused tremendous damage in China, requiring more essential countermeasures to alleviate the damage.
Xin Cai, Yi Li, Xing-wen Guo, Wei Wu
doaj +1 more source
Objective This study aimed to improve contraception and reproductive planning documentation within rheumatology providers’ notes at a single academic center. Methods Female patients aged 18 to 45 years with autoimmune inflammatory rheumatic diseases were identified, and chart review was performed for documentation of contraception and pregnancy ...
Benjamin Moon+6 more
wiley +1 more source
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+2 more
wiley +1 more source
Neural Network Adaptive Control With Long Short‐Term Memory
ABSTRACT In this study, we propose a novel adaptive control architecture that provides dramatically better transient response performance compared to conventional adaptive control methods. This is accomplished by the synergistic employment of a traditional adaptive neural network (ANN) controller and a long short‐term memory (LSTM) network.
Emirhan Inanc+4 more
wiley +1 more source
The prodrug strategy used in this study offers new promise for cancer metabolism‐based therapies. JHU083, a prodrug that, when cleaved by protease in the tumor microenvironment, yields the glutamine antagonist DON. JHU083 inhibits tumor growth by targeting glutamine‐addicted cancer cells and suppressing glutamine‐dependent M2 macrophages, leading to a ...
Tianhe Li+10 more
wiley +1 more source
In this study, a new type of bioactive glass fiber ‐based composite magnesium phosphate bone cement is prepared and verified that its mechanical strength and biological properties. In addition, the cement may have played a biologically active role in the Notch and HIF signaling pathways.
Yuzheng Lu+12 more
wiley +1 more source
Bridging Nature and Technology: A Perspective on Role of Machine Learning in Bioinspired Ceramics
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+2 more
wiley +1 more source