Results 131 to 140 of about 12,502,488 (286)

Heavy Ball with Friction Method for the Elastography Inverse Problem [PDF]

open access: yes, 2015
The primary objective of this thesis is to develop a fast and efficient computational framework for the nonlinear inverse problem of identifying a variable coefficient in a system of partial differential equation modelling the response of an ...
Eluyefa, Oladayo
core   +1 more source

SIRT7‐Mediated H2BK120 Succinylation Drives Aberrant Mitophagy in Sepsis‐Associated Cognitive Dysfunction

open access: yesAdvanced Science, EarlyView.
Sepsis triggers hippocampal SIRT7 loss, promoting histone H2B succinylation and activation of the PD‐1/PD‐L1–PINK1 axis. This metabolic‐epigenetic cascade drives aberrant mitophagy and neuronal injury, ultimately causing cognitive deficits. Targeting SIRT7‐dependent succinylation offers a potential strategy to protect brain function during sepsis ...
Na Meng   +12 more
wiley   +1 more source

Efficient Globalization of Heavy-Ball Type Methods for Unconstrained Optimization Based on Curve Searches

open access: yesJournal of Optimization Theory and Applications
Abstract In this work, we deal with unconstrained nonlinear optimization problems. Specifically, we are interested in methods carrying out updates possibly along directions not of descent, like Polyak’s heavy-ball algorithm. Instead of enforcing convergence properties through line searches and modifications of search direction when ...
Federica Donnini   +2 more
openaire   +3 more sources

Adaptive Network Stabilization Despite Profound Structural Reorganization in Human Organotypic Cultures

open access: yesAdvanced Science, EarlyView.
Adult human organotypic cortical slices undergo marked neuronal loss, laminar disruption, and glial activation, yet their network activity progressively stabilizes after a variable period. Electrophysiology, longitudinal calcium imaging, and quantitative histology show that structurally remodeled human circuits show adaptive capacity resulting in ...
Estilla Zsófia Tóth   +20 more
wiley   +1 more source

Fully Recyclable Printed Magnetoresistive Sensors Covering Broad Operational Ranges for Sustainable Interactive Electronics

open access: yesAdvanced Electronic Materials, EarlyView.
This work presents a sustainable printing and recycling strategy for magnetic sensors designed for IoT applications. By combining solvent‐orthogonal binders with tailored magnetic fillers, the sensors achieve tunable sensitivity across low to high magnetic field ranges.
Rui Xu   +6 more
wiley   +1 more source

Fabrication of Composite Cathode for All‐Solid‐State Sodium Batteries

open access: yesAdvanced Energy Materials, EarlyView.
The design of composite cathodes for all‐solid‐state sodium batteries must address three critical challenges—interfacial side reactions, interfacial delamination, and highly tortuous transport pathways. This work outlines structural and interfacial strategies to optimize ion transport and mechanical stability, enabling durable, and high‐performance ...
Gaoming Sun   +6 more
wiley   +1 more source

Sulfide‐Based Electrolytes for All‐Solid‐State Sodium Batteries

open access: yesAdvanced Energy Materials, EarlyView.
This review covers the structural features and synthesis strategies of sulfide‐based solid electrolytes, as well as critical challenges related to conductivity, interfacial and moisture stability, and scaling‐up for practical application in Sodium‐based All Solid‐State Batteries.
Han Yang   +6 more
wiley   +1 more source

Comparative Insights and Overlooked Factors of Interphase Chemistry in Alkali Metal‐Ion Batteries

open access: yesAdvanced Energy Materials, EarlyView.
This review presents a comparative analysis of Li‐, Na‐, and K‐ion batteries, focusing on the critical role of electrode–electrolyte interphases. It especially highlights overlooked aspects such as SEI/CEI misconceptions, binder effects, and self‐discharge relevance, emphasizing the limitations of current understanding and offering strategies for ...
Changhee Lee   +3 more
wiley   +1 more source

Compressible Non-Newtonian Fluid Based Road Traffic Flow Equation Solved by Physical-Informed Rational Neural Network

open access: yesIEEE Access
The study of road traffic flow theory utilizes physics and applied mathematics to analyze relevant parameters and their relationships quanlitatively and quantitatively, in order to explore their dynamic changes.
Zan Yang   +5 more
doaj   +1 more source

Smart Exploration of Perovskite Photovoltaics: From AI Driven Discovery to Autonomous Laboratories

open access: yesAdvanced Energy Materials, EarlyView.
In this review, we summarize the fundamentals of AI in automated materials science, and review AI applications in perovskite solar cells. Then, we sum up recent progress in AI‐guided manufacturing optimization, and highlight AI‐driven high‐throughput and autonomous laboratories.
Wenning Chen   +4 more
wiley   +1 more source

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