Sustained Reduction of Essential Tremor with Low-Power Non-Thermal Transcranial Focused Ultrasound Stimulations in Humans

Sustained Reduction of Essential Tremor with Low-Power Non-Thermal Transcranial Focused Ultrasound Stimulations in Humans

Sustained Reduction of Essential Tremor with Low-Power Non-Thermal Transcranial Focused Ultrasound Stimulation in Humans Background Essential Tremor (ET) is one of the most common neurological disorders, primarily characterized by bilateral upper limb action tremor that persists for more than three years. For ET unresponsive to medication, neurosur...

Intensity-Dependent Effects of TDCS on Motor Learning Are Related to Dopamine

The Intensity-Dependent Effects of Cortical Electrical Stimulation on Motor Learning and the Role of Dopamine Background Introduction Nowadays, non-invasive brain stimulation techniques such as transcranial direct current stimulation (tDCS) are widely used in neuroplasticity research to modulate cognition and behavior. However, optimizing stimulati...

Safety and Feasibility Study of Non-Invasive Vagus Nerve Stimulation in Spontaneous Subarachnoid Hemorrhage

Application of Non-Invasive Vagus Nerve Stimulation in Spontaneous Subarachnoid Hemorrhage: A Randomized Safety and Feasibility Study Report Spontaneous subarachnoid hemorrhage (SAH) is often accompanied by severe thunderclap headaches, which patients typically describe as the “worst headache of their lives.” The vast majority of patients (90%) con...

Learning Inverse Kinematics Using Neural Computational Primitives on Neuromorphic Hardware

Learning Inverse Dynamics Using Brain-Inspired Computational Principles on Neuromorphic Hardware Background and Research Motivation In the modern field of robotics, there is great potential for low-latency neuromorphic processing systems enabling autonomous artificial agents. However, the variability and low precision of current hardware foundation...

Magneto-Oscillatory Localization for Small-Scale Robots

Detailed Explanation of a New Small-scale Magneto-oscillatory Localization Method and Its Application in Robotics Research Background and Motivation Micro-robots have demonstrated immense potential in the medical field, especially in minimally invasive surgeries, targeted drug delivery, and in vivo sensing. Recently, significant progress has been m...

Tactile Perception: A Biomimetic Whisker-Based Method for Clinical Gastrointestinal Diseases Screening

Clinical Gastrointestinal Disease Screening Based on the Bionic Artificial Tentacle Method Background Gastrointestinal diseases display a wide range of complex symptoms globally, such as diarrhea, gastrointestinal bleeding, malabsorption, malnutrition, and even neurological dysfunction. These diseases pose significant health challenges and socioeco...

Bio-Inspired 3D-Printed Artificial Limb Assisting Cyborg Insects in Self-Righting Locomotion

Bio-Inspired 3D-Printed Artificial Limb Assisting Cyborg Insects in Self-Righting Locomotion

Research Background In rescue missions, to improve search and rescue efficiency, an emerging solution is the use of a combination of electronic backpacks and insects, known as cyborg insects. These insects combine the advantages of biological and electronic technologies, with additional electronic backpacks used for communication, sensing, and cont...

Trimmed Helicoids: An Architectured Soft Structure Yielding Soft Robots with High Precision, Large Workspace, and Compliant Interactions

Trimmed Helicoids: An Architectured Soft Structure Yielding Soft Robots with High Precision, Large Workspace, and Compliant Interactions

Trimming Helicoidal: A Soft Structure with High Precision, Large Workspace, and Compliant Interaction Background Introduction In recent years, inspired by biological systems, many researchers have gradually shifted from traditional rigid robot paradigms towards designs that incorporate compliant materials and structures. An elephant trunk is a typi...

Accelerating Ionizable Lipid Discovery for mRNA Delivery Using Machine Learning and Combinatorial Chemistry

Accelerating the Discovery of Ionizable Lipids for mRNA Delivery using Machine Learning and Combinatorial Chemistry Research Background To fully realize the potential of mRNA therapies, it is essential to expand the toolkit of lipid nanoparticles (LNPs). However, a key bottleneck in LNP development is identifying new ionizable lipids. Previous stud...

Elucidating Chirality Transfer in Liquid Crystals of Viruses

Study on Chirality Transfer in Liquid Crystal Viruses Chirality is a phenomenon commonly found in nature and holds significant influence in various fields such as biology, chemistry, physics, and materials science. However, the mechanism of chirality transfer from nanoscale building blocks to macroscopic helical structures remains an unsolved myste...