Articles tagged with Motion
Epic Games has acquired Meshcapade, a Max Planck startup that develops solutions for creating and animating digital humans. The technology, based on the SMPL body model, enables realistic human movement and expression in 3D.
A new AI framework uncovers simple, understandable rules governing complex dynamics in nature and technology. The AI generates equations that accurately describe complex systems, revealing hidden variables that govern their behavior. This approach offers scientists a new way to leverage AI for understanding complex systems.
Scientists from Tokyo Metropolitan University have re-engineered the Lattice-Boltzmann Method to store certain data, reducing memory usage and overcoming a key bottleneck. The new algorithm achieves significant accuracy and stability in simulations of fluids and heat.
Researchers from Heidelberg University discovered that malaria parasites use right-handed helices to navigate through tissues, a key finding with implications for improving drug and vaccine testing. The parasite's asymmetrical body plan enables it to control its motion and transition between compartments more efficiently.
Researchers propose a novel lower-limb motion capture system using flexible pressure sensors, achieving accurate joint position estimation with an average prediction error of only 7.8 pixels. The system enables seamless interaction and natural control in the metaverse.
Researchers at OIST introduce a mouse motion capture method using marker-based approach to track high-quality data on complex movements. The method avoids pitfalls associated with smaller animals, enabling detailed studies of neuroscientific and physiological foundations of mouse movement.
Research at Max Planck Institute for Dynamics and Self-Organization explores how growth impacts cell migration. The study reveals a critical threshold of motility above which colony growth inhibits cellular movement, with implications for biology, tissue engineering, and medical research.
Researchers developed a new viscoelastic model of enzymes, elucidating the intertwined effects of elastic forces and friction forces on enzyme function. This breakthrough allows proteins to be perceived as soft robots or programmable active matter, revolutionizing our understanding of enzymatic catalysis.
Researchers at Baylor College of Medicine have discovered a brain circuit involved in motion sickness that also regulates body temperature and metabolic balance. Inhibiting this circuit may lead to increased energy expenditure and better glucose tolerance, suggesting potential benefits for obesity treatment.
Researchers discovered how bacterial swarms transition from organized movement to chaotic flow as confinement radius increases. The study reveals intermediate states between order and turbulence through large-scale experiments, computer modeling, and mathematical analysis. These findings provide insights into the universal properties o...
Researchers on the ISS National Lab have leveraged microgravity to study fundamental physical phenomena, such as heat transfer, combustion, and fluid dynamics. These discoveries hold potential for advances in pharmaceuticals, energy production, materials manufacturing, and more.
A new study reveals that patients with Parkinson's disease who exhibit rest tremor have more dopamine preserved in the caudate nucleus, a part of the brain important for movement planning and cognition. This challenges traditional understanding of how dopamine loss relates to PD symptoms.
Scientists observe direct interactions between molecular rotations and electronic structures for the first time, shedding light on chemical reaction mechanisms. The study finds that Coriolis coupling, a previously unknown process, plays a dominant role in bond cleavage, lasting several hundred femtoseconds.
Scientists at Max Planck Institute for Dynamics and Self-Organization created a navigation system for artificial microswimmers, enabling control over their movement using electric fields and flow. The system generates various motility patterns, including adhesion to channel walls or centerline motion.
Researchers at Newcastle University developed a novel approach using electromagnetic waves to solve partial differential equations, specifically the Helmholtz wave equation. The innovative structure, known as a metatronic network, effectively behaves like a grid of T-circuits and allows for control over PDE parameters.
An international team successfully realizes periodic oscillations and transportation for optical pulses using a synthetic temporal lattice. They observe the features of SBO collapse, including vanishing oscillation amplitude and flip of initial oscillation direction.
A team of scientists led by postdoctoral fellow Johan du Buisson has developed an information engine that can convert heat energy into work. By measuring the location of a tiny bead in a water bath with high accuracy, the engine is able to produce significant power output, approximately ten times faster than the speed of E. coli.
Researchers at UNIST have unveiled a new principle of motion in liquid crystals, where objects can move in a directed manner by changing their sizes periodically. The discovery has far-reaching implications for the development of miniature robots and advances research in complex fluids.
The study of 5,951 women aged 63 to 99 found that higher levels of physical activity and lower amounts of sedentary time were associated with reduced heart failure risk. Promoting regular physical activity and limiting sedentary time may be a prudent strategy for primary prevention of heart failure in older women.
Chemical simulations can be sped up by resetting them, a new study from Tel Aviv University found. This technique, called stochastic resetting, overcomes the timescale problem, allowing for more accurate predictions of slow processes.
A systematic review has identified 29 primary risk factors associated with long-term arm morbidities following breast cancer treatments. The main risk factors include removal of lymph nodes, high body mass index, mastectomy, radiation therapy, chemotherapy, infection, and trauma to the affected arm.
Researchers found that fly brain uses a three-step computation to distinguish motion patterns, dividing the workload across multiple levels. This approach helps flies detect even slight changes in motion and stay on course.
A team of researchers from the University of Chinese Academy of Sciences developed a hydrodynamic model to study penguin wings' propulsion physics. The model reveals that wing feathering is the main factor in generating thrust, allowing penguins to swim efficiently and maneuver swiftly.
PolyU researchers have developed optoelectronic graded neurons that can perceive dynamic motion, achieving an information transmission rate of over 1000 bit/s. This breakthrough enables highly accurate motion recognition, surpassing conventional image sensors by up to 99.2% accuracy.
Researchers developed a deep learning approach to recognize and predict motion using vector-based relative change in position. The method, VecNet+LSTM, scored higher than other frameworks in recognizing motion and predicting future movements. This study has implications for machine learning in video analysis and artificial intelligence.
An international team has discovered how electrons can move rapidly on a quantum surface driven by external forces, visualizing the motion of electrons on liquid helium for the first time. The research revealed unusual oscillations with varying frequencies and a combination of quantum and classical dynamics.
Researchers at Lancaster University have discovered how energy disappears in quantum turbulence, a crucial step towards mastering this phenomenon and its applications. The study reveals the role of Kelvin waves in transferring energy from macroscopic to microscopic length scales.
Researchers developed temporal compressive super-resolution microscopy (TCSRM) to overcome optical diffraction's spatial resolution restriction. TCSRM achieves high-speed imaging at 1200 frames per second with a spatial resolution of 100 nanometers, enabling observation of fast dynamics in fine structures.
Scientists studied F1-ATPase function in bacteria to clarify the angle of rotation during ATP hydrolysis. The study revealed three sets of short and long dwells associated with different intervals per revolution, resolving a long-term debate over the ATP-cleavage shaft angle.
Researchers from ETH Zurich have achieved groundbreaking cooling of a glass nanoparticle along two directions of motion, overcoming the 'Dark Mode Effect'. This breakthrough enables the creation of fragile quantum states and paves the way for ultrasensitive gyroscopes and sensors.
A new mathematical theory developed by Peter Wolynes and David Logan predicts the nature of motions in a chlorophyll molecule when it absorbs energy from sunlight. The findings suggest that there are exceptions where simple motions persist for long times, influencing processes like photosynthesis.
A new mathematical theory developed by scientists at Rice University and Oxford University can predict the nature of motions in complex quantum systems. The theory applies to any sufficiently complex quantum system and may give insights into building better quantum computers, designing solar cells, or improving battery performance.
A team of researchers from Vietnam and Korea investigated the collapse of a spherical bubble near an oscillating wall using a two-phase flow model. The study revealed significant jet formation, higher pressure peaks, and faster collapse times compared to fixed wall scenarios.
The iCPH platform combines physical and cyber elements to capture human motions, using musculoskeletal analysis and machine learning. It generates contact motion networks for humanoid robots and simulates human behaviors, enabling smooth interactions with humans.
Researchers at the University of Amsterdam found that chloroplasts in plant cells exhibit glassy behavior under low-light conditions, allowing them to quickly move and optimize photosynthesis. In bright light, these 'glassy' states transition into fluid-like phases for efficient movement and light-avoidance.
Researchers developed a computational model of flying snakes' undulation to understand lift production. The snake's cross-sectional shape creates pressure differential across its body, lifting it and allowing it to glide through the air.
Researchers from Brazil and UCLA used computational fluid dynamics/discrete element method to study barchan dune formation, shedding light on grain-scale dynamics. The study enables investigation of forces within dunes and grain motion, paving the way for predicting future dune fields on Earth and Mars.
A team of researchers from Korea investigated the dynamics of the p-Laplacian AC equation, finding that solutions maintain three criteria: phase separation, boundedness, and energy decay properties. They also identified an advantage of p-AC equation over classical Laplacian in adjusting interface sharpness.
Researchers from Chinese Academy of Sciences reveal the secret of ultra-slow motion in pine cones, attributing it to unique microtube structures that drive scale movement with humidity changes. They develop mimicking actuators enabling unperceivable motion, two orders of magnitude slower than other reported actuators.
Researchers develop autonomous navigation strategies for microswimmers, allowing them to navigate optimally in complex environments. These strategies utilize external stimuli, such as light, to guide the microswimmers and improve their performance.
Researchers found that calf muscle stiffness contributes to passive ankle joint stiffness, especially when dorsiflexed. The study suggests that exercises to relieve triceps surae stiffness can improve joint flexibility and reduce injury risk.
A University of Ottawa research team has made new discoveries on how motor skills are learned and stored in the brain. By studying mice, they found that a specific transcription factor called NPAS4 regulates gene changes in inhibitory neurons, leading to the formation of learning-associated neuron ensembles.
Scientists have created a robot that moves without pushing against anything in curved space, defying the law of conservation momentum. The research challenges physical laws and intuition designed for flat space, with potential applications in space navigation and robotics.
A newly developed wearable sensor patch worn on the neck may predict concussion risk in high-impact sports like American football or judo. The device detects sudden neck strain, such as whiplash, and has shown a strong positive correlation with results from sensors inside a test dummy.
Researchers have developed a new formula for swimming based on their study of odd elasticity, allowing microswimmers to exhibit autonomously directional and deterministic motion. The team used Purcell's swimmer model to demonstrate that any odd elastic micromaterial can spontaneously generate locomotion in a fluid.
Researchers successfully created a two-body time-crystal system in an experiment that challenges our understanding of physics. They also found that time crystals can be used to build useful devices at room temperature, opening up new possibilities for quantum computing.
Researchers from Harvard John A. Paulson School of Engineering and Applied Sciences have developed a single-material, single-stimuli microstructure that can outmaneuver even living cilia. These programmable structures could be used for soft robotics, biocompatible medical devices, and dynamic information encryption.
Researchers at NYU Tandon School of Engineering propose a paradigm to solve the problem of inferring collective size from individual behaviors. By observing self-propelled Vicsek particles, they show that the time rate of growth of mean square heading is sufficient to predict the number of particles under particular parameters.
A research team from City University of Hong Kong developed a multi-functional electrostatic droplet tweezer that can precisely trap and remotely guide liquid droplets on flat and tilted surfaces, as well as in oil mediums. The technology offers precise and programmable droplet manipulation with high velocity and agile direction steering.
Researchers discovered that fish generate movable vortex pairs of high- and low-pressure regions to propel themselves forward. This process involves precise control of body fluctuations, which enables the fish to swim with high motion control and flexibility.
Researchers from NIST have developed a mathematical model that predicts the strength and timing of changes in velocity required for crane operators to apply when transporting heavy loads. This equation can be applied to various situations, including moving a load with initial rest and large distances.
A team of researchers from Shinshu University has developed a precise numerical model of butterfly flight dynamics, revealing the intricate relationship between wing movement and air flow. The study's findings have significant implications for designing micro air vehicles (MAVs), which could lead to breakthroughs in aerospace engineering.
Researchers tracked 10,000 galaxies and clusters over 11.5 billion years, revealing complex motions influenced by gravity and the Big Bang theory. The study provides new insights into the formation history of large-scale mass structures in the universe.
Researchers discover that finger snaps produce the highest rotational accelerations observed in humans, even faster than professional baseball pitchers. The study explores the role of friction and finds a 'Goldilocks zone' necessary for optimal energy storage.
Research finds that fruit flies fall asleep when moved in slow circles, and this effect continues in flies missing key circadian clock genes. The study also reveals the role of nanchung receptors, which are sensitive to vibrations and motion, in inducing daytime sleep.
Researchers at the University of Maryland have demonstrated a swarm of photons that somersault in lockstep, pointing their spin perpendicular to their direction of propagation. This surprising result has potential applications in nonlinear optics and free-space optical communications.
A study using a scale model of a cylindrical fish cage found that artificially maintaining gentle currents inside the cage can suppress violent sloshing motions caused by ocean waves. This innovation aims to improve fish health and reduce environmental damage in sea-based fish farming systems.
Researchers found that swirlonic super particles move with constant velocity, proportional to applied force, violating Newton's Law. This phenomenon has practical applications in artificial intelligence, space data, and robotics, particularly in self-assembly.
Researchers studied the forces behind click beetles' signature clicking maneuver, discovering that they utilize snap-buckling and elastic recoil to release energy. The study provides insights into extreme motion, energy storage, and release in small animals like trap-jaw ants and mantis shrimps.
High-speed X-ray imaging reveals click beetles can perform extreme movements by releasing stored energy quickly, supporting the idea of a distributed spring mechanism. Understanding this dynamics could inform development of insect-inspired robots.