Results 161 to 170 of about 223,519 (298)

Nuclear Fuel Batch Optimization for Extra Long Equilibrium Core Design of APR-1400

open access: yesJournal of Energy Engineering, 2023
Bakhrom ogli Umarov Shokhmirzo   +2 more
openaire   +1 more source

A High Throughput Microfluidic Approach for the Continuous Manufacture of Ibuprofen Nanocrystals

open access: yesAdvanced Materials Technologies, EarlyView.
A robust, continuous manufacturing platform using a high‐throughput microfluidic reactor addresses key scalability challenges in pharmaceutical production. This process efficiently generates crystalline ibuprofen nanoparticles with superior control over size and distribution.
Shorooq Abukhamees   +5 more
wiley   +1 more source

Fabrication, Properties, and Applications of Scaffolds for Bone Tissue Regeneration

open access: yesAdvanced Materials Technologies, EarlyView.
This review explores cutting‐edge biomaterials and fabrication techniques for scaffolds in bone tissue regeneration. It conducts a critical comparison of various strategies, meticulously analyzes the key contradictions in the field, and outlines an integrated development path spanning from biomaterial selection to clinical application, while ...
Shangsi Chen, Min Wang
wiley   +1 more source

Allosteric Modulation of Pathological Ataxin‐3 Aggregation: A Path to Spinocerebellar Ataxia Type‐3 Therapies

open access: yesAdvanced Science, EarlyView.
This study uncovers a new allosteric site in the Josephin domain of ataxin‐3 targeted by the molecular tweezer CLR01, which modulates protein aggregation, improves synaptic function in neuronal cells, and delays motor dysfunction in animal models.
Alexandra Silva   +28 more
wiley   +1 more source

Sustained, Reversible, and Adaptive Non-Equilibrium Steady States of a Dissipative DNA-Based System. [PDF]

open access: yesAngew Chem Int Ed Engl
Nicholas JD   +5 more
europepmc   +1 more source

NashNorm: A Novel Nash Equilibrium-Inspired Batch Normalization Method for Deep Neural Networks

open access: yes
Batch Normalization has been widely used in various deep learning architectures to alleviate training instability and accelerate convergence. Despite this, traditional batch normalization mechanisms usually treat neurons as independent individuals and fail to effectively model the potential dependencies between them.
openaire   +1 more source

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