A Physics‐Informed Neural Network as a Digital Twin of Optically Turbid Media
Advanced Intelligent Systems, EarlyView.In this work, a physics‐informed neural network is presented as a digital twin for modeling and studying optically turbid media without requiring reference light. The model learns and integrates complex wavefront modulation behavior, ensuring robustness without explicit calibration.
Mohammadrahim Kazemzadeh +4 more
wiley +1 more source
Facilitated Alveolar Ridge Expansion Using Osseodensification: Achieving Implant Stability and Tissue Remodeling Without Grafting. [PDF]
CureusHung CC, Rojas-Vizcaya F.
europepmc +1 more source
The Army of the South-West, and the First Campaign in Arkansas. Chapter Third: March of the Army of the South-West from Lebanon, Missouri, to Cross Hollows, Arkansas. Preparations for the Battle of Pea Ridge [PDF]
Sam'l Prentis Curtis
openalex +1 more source
Copper Ridge zinc district, eastern Tennessee [PDF]
, 1943 John Rodgers +2 more
openalex +1 more source
Hot‐Plugging Logic‐Enabled Valves
Advanced Intelligent Systems, EarlyView.This miniaturized, soft, hot‐plugging, logic‐enabled valve enhances soft pneumatic robotics by eliminating the need for cutting tubing. Its two pneumatic actuators regulate operating pressure through a lower control pressure, achieving an eightfold gain at 1 Hz. By adjusting control pressures, it executes different logical functions, such as converting
Jing Xu, Seung Hee Jeong, Klas Hjort
wiley +1 more source
Utilizing drip metabolites and predictive modeling for non-destructive freshness assessment in pork loin. [PDF]
NPJ Sci FoodKim HJ +8 more
europepmc +1 more source
The Mean Wind and Temperature Distribution through a Flat Upper Ridge in Winter [PDF]
, 1950 Yi‐Ping Hsieh
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Christopher Tribble. 1996. Writing. Oxford: OUP. pp 172.
Per Linguam : A Journal of Language Learning, 2013 Elaine Ridge
doaj +1 more source
Machine Learning‐Assisted Simulations and Predictions for Battery Interfaces
Advanced Intelligent Systems, EarlyView.This review summarizes machine learning (ML)‐assisted simulations and predictions at battery interfaces. It highlights how employing ML algorithms with machine vision, enables the lithium dendrite growth simulation, the solid–electrolyte interphase formation, and other interfacial dynamics.
Zhaojun Sun +4 more
wiley +1 more source
Effects of Bone Augmentation on Implant Success and Survival: A Retrospective Analysis With 6-Year Mean Follow-Up. [PDF]
Clin Implant Dent Relat ResTatli U +3 more
europepmc +1 more source