Results 81 to 90 of about 117,981 (192)
THE PSYCHOMOTOR THEORY OF HUMAN MIND [PDF]
This study presents a new theory to explain the neural origins of human mind. This is the psychomotor theory. The author briefly analyzed the historical development of the mind-brain theories.
TAN, Prof. Dr. Uner
core +1 more source
Lithographically defined concentric micro‐ and nanostructures systematically designed and fabricated as reproducible arrays for Surface‐enhanced Raman spectroscopy applications. Abstract Topologically designed micro‐ and nanostructured surface‐enhanced Raman scattering (SERS) substrates propel the advancements of innovative applications, including ...
David Femi Odetade+2 more
wiley +1 more source
We have searched, using a sensitive nested-PCR, for enterovirus RNA in cerebrospinal fluid and post mortem central nervous system (CNS) tissue from patients with previous poliomyelitis with or without late functional deterioration, patients with motor neuron disease (MND), and control patients with other neurological disease or without neurological ...
G. T. Spencer+11 more
openaire +3 more sources
Multi‐Scale Modeling of a 3D Soft Magnetoelectric Patch for Wireless Nerve Stimulation
Core‐shell, magnetoelectric nanoparticles (MENPs) can serve as wireless electric nano‐sources, thanks to their ability to generate high levels of electricity, when stimulated by a human‐safe external magnetic field. By combining MENPs with soft, biocompatible polymeric matrices and optimizing its composite configuration and electrical behavior via ...
Giulia Suarato+6 more
wiley +1 more source
Biological and Mechanical Limitations for Chronic Fast‐Scan Cyclic Voltammetry Sensor Design
Real‐time detection of neurochemicals has demonstrated value in the field of neuroscience. However, current methods have limitations for use in the chronic setting, which is often the ideal environment for research. This article discusses these limitations, as well as technologies that have been developed to overcome them, and provides recommendations ...
Mason L. Perillo+6 more
wiley +1 more source
Microfluidic Spinning of PEDOT:PSS Microfibers for Nerve Guidance Conduits
This publication explores the fabrication of microfluidically spun PEDOT:PSS microfibers for conductive nerve guidance conduits (NGCs). It details the spinning process, fiber characterization, and biocompatibility assessment. The study highlights the fibers' mechanical and electrical properties, non‐cytotoxicity, and potential for nerve regeneration or
Matthias Geiger+8 more
wiley +1 more source
Progress in Surface Plasmon and Other Resonance Biosensors for Biomedical Applications
This is the shortened version: Recent advancements in surface plasmon resonance and other optical resonance biosensors for biomedical applications are presented. Advanced sensing strategies are examined for the detection of diverse analytes, integration of nanomaterials and machine learning, and emerging nonplasmonic modes like guided mode resonance ...
Faten Bashar Kamal Eddin+8 more
wiley +1 more source
Intrinsically Soft Implantable Electronics for Long‐term Biosensing Applications
Intrinsically soft implantable biosensors address the mechanical mismatch of conventional rigid implants, improving biocompatibility and stability. This review explores soft encapsulation matrices, stretchable conductors, implantation strategies, and chronic fixation techniques.
Su Hyeon Lee+5 more
wiley +1 more source
A wearable capacitive eye tracker for chronic fatigue assessment is presented, utilizing cylindrically shaped capacitive sensors made of a carbon nanotube‐paper composite. By integrating a novel fatigue‐induction protocol with machine learning, the device achieves 0.75‐sensitivity and 0.73‐specificity, providing a practical alternative to existing ...
Tianyi Li+6 more
wiley +1 more source
This review examines recent advancements in multimodal bioelectronics, emphasizing machine learning integration to enhance functionality. The application of machine learning methodologies improving biosignal processing, device adaptability, and diagnostic accuracy is discussed to introduce Machine Learning enhanced bioelectronics as a pathway toward ...
Myoungjae Oh+11 more
wiley +1 more source