Riemannian Geometry for the Classification of Brain States with Intracortical Brain Recordings
Geometric machine learning is applied to decode brain states from invasive intracortical neural recordings, extending Riemannian methods to the invasive regime where data is scarcer and less stationary. A Minimum Distance to Mean classifier on covariance manifolds uses geodesic distances to outperform convolutional neural networks while reducing ...
Arnau Marin‐Llobet +9 more
wiley +1 more source
It is Worth More When It is Shared: Exploring Values Related to Shared-Use New Products [PDF]
Recent research has shown that exchange value goes beyond utilitarian and functional aspects of goods or services. Value can be considered as symbolic, social or emotional.
Guizani, Haithem +2 more
core +2 more sources
Roadmap on Artificial Intelligence‐Augmented Additive Manufacturing
This Roadmap outlines the transformative role of artificial intelligence‐augmented additive manufacturing, highlighting advances in design, monitoring, and product development. By integrating tools such as generative design, computer vision, digital twins, and closed‐loop control, it presents pathways toward smart, scalable, and autonomous additive ...
Ali Zolfagharian +37 more
wiley +1 more source
Mechanical and environmental properties of denture base poly (METHYL METHACRYLATE) FILLED BY BARIUM TITANATE [PDF]
Tujuan kajian ini ialah untuk menyiasat penggunaan barium titanat (BaTiO3) sebagai radiopasifier dalam poli (metil metakrilat) (PMMA) bagi bahan asas gigi agar memperolehi polimer yang telusradio.
Elshereksi, Nidal Wanis
core
Modified technique to fabricate a hollow light-weight facial prosthesis for lateral midfacial defect: a clinical report [PDF]
Large oro-facial defects result from cancer treatment consequences in serious functional as well as cosmetic deformities. Acceptable cosmetic results usually can be obtained with a facial prosthesis. However, retention of a large facial prosthesis can be
Arcuri +18 more
core +2 more sources
Modeling and Characterization of a Self‐Sensing Soft Hydraulic Muscle
This article presents the self‐sensing soft hydraulic muscle (SSHM), a novel soft actuator capable of simultaneously sensing force and length without external sensors. A comprehensive model accurately predicts SSHM behavior, validated experimentally with minimal errors. Using propylene glycol enhances durability and reduces hysteresis.
Nhu An Phan +8 more
wiley +1 more source
Management of bone defects with Bio-oss [PDF]
Introduction: The defects in the alveolar bone might appear as a result of congenital malformations, traumatic injuries, periodontal disease, surgical traumas, chronic periapical changes and tumors from benign or malignant origin.
Dimova, Cena +3 more
core
Multisensory mechanisms of body ownership and self-location [PDF]
Having an accurate sense of the spatial boundaries of the body is a prerequisite for interacting with the environment and is thus essential for the survival of any organism with a central nervous system.
Guterstam, Arvid
core +1 more source
Bio‐to‐Robot Transfer of Fish Sensorimotor Dynamics via Interpretable Model
This study demonstrates how a biologically interpretable model trained on real‐fish muscle activity can accurately predict the motion of a robotic fish. By linking real‐fish sensorimotor dynamics with robotic fish, the work offers a transparent, data‐efficient framework for transferring biological intelligence to bioinspired robotic systems.
Waqar Hussain Afridi +6 more
wiley +1 more source

