Results 81 to 90 of about 5,156 (239)

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

open access: yesInternational 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   +2 more
wiley   +1 more source

The Potential for Extracellular Vesicles in Nanomedicine: A Review of Recent Advancements and Challenges Ahead

open access: yesAdvanced Biology, EarlyView.
Extracellular vesicles (EVs) play a dual role in diagnostics and therapeutics, offering innovative solutions for treating cancer, cardiovascular, neurodegenerative, and orthopedic diseases. This review highlights EVs’ potential to revolutionize personalized medicine through specific applications in disease detection and treatment.
Farbod Ebrahimi   +4 more
wiley   +1 more source

Inhibition of Glutamine Metabolism Attenuates Tumor Progression Through Remodeling of the Macrophage Immune Microenvironment

open access: yesAdvanced Biology, EarlyView.
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

Mitigation of Cracks in High‐Performance Nickel‐Based Superalloys in Powder Bed Fusion Laser Beam of Metals Using a Metal Matrix Composite Approach

open access: yesAdvanced Engineering Materials, EarlyView.
High‐performance nickel‐based superalloys are often not processible in additive manufacturing (AM) due to hot cracking. The findings in this manuscript propose an efficient method to mitigate cracking and enhance mechanical properties of these alloys by producing a metal matrix composite, contributing to the material and process perspective of the AM ...
Klaus Büßenschütt   +3 more
wiley   +1 more source

Public Key Cryptography based on Semigroup Actions

open access: green, 2005
Gkrard Maze   +2 more
openalex   +2 more sources

Novel Hybrid Public/Private Key Cryptography Based on Perfect Gaussian Integer Sequences [PDF]

open access: gold, 2021
Ching-Hsien Hsia   +3 more
openalex   +1 more source

Quantum Emitters in Hexagonal Boron Nitride: Principles, Engineering and Applications

open access: yesAdvanced Functional Materials, EarlyView.
Quantum emitters in hexagonal boron nitride have emerged as a promising candidate for quantum information science. This review examines the fundamentals of these quantum emitters, including their level structures, defect engineering, and their possible chemical structures.
Thi Ngoc Anh Mai   +8 more
wiley   +1 more source

Copper‐based Materials for Photo and Electrocatalytic Process: Advancing Renewable Energy and Environmental Applications

open access: yesAdvanced Functional Materials, EarlyView.
Cu‐based catalysts as a cornerstone in advancing sustainable energy technologies are fully reviewed in this manuscript, highlighting their potential in photo‐ and electrocatalysis. It includes metallic copper, copper oxides, copper sulfides, copper halide perovskites, copper‐based metal–organic frameworks (MOFs), and covalent organic frameworks (COFs),
Jéssica C. de Almeida   +16 more
wiley   +1 more source

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