Articles tagged with Dynamical Systems
The study reveals that the amount of available resources determines whether an organism relies on its memory or makes decisions based on current sensory input. Memory becomes most useful when sensory information is moderately uncertain, providing a significant improvement in performance.
Researchers identified distinct brain activity patterns in people with depression, which may contribute to the experience of feeling stuck. The study suggests depression involves a form of brain-state entrapment, where the brain becomes more likely to enter certain patterns of activity and less likely to transition out of them.
Researchers found that atmospheric rivers and well-organized atmospheric systems can produce significantly heavier rainfall while also creating clearer signals in the atmosphere. This understanding could improve early warnings for extreme events and sharpen forecasting tools globally.
A mathematical model identifies universal patterns in competitive systems, revealing an optimal 'sweet spot' where excellence and opportunity coexist. The study found that high-performing systems strike a delicate balance between demand and opportunity.
Researchers challenge long-held assumptions about vegetation patterns in dryland ecosystems, finding that such patterns can actually indicate reduced ecosystem resilience. The new theoretical framework takes into account spatial constraints and environmental heterogeneities, revealing that ecosystem stability depends on specific enviro...
Researchers propose AI-based surrogate brain framework that integrates forward modeling, inverse problem solving, and evaluation to build next-generation data-driven models. The framework enables applications such as predicting future whole-brain activity, performing dynamical systems analysis, and guiding neurostimulation strategies.
The study reveals that balance is key in engineering cells to produce more chemicals without antibiotics or complex methods. The team designed genetic circuits using negative feedback systems to optimize cell factories, increasing function by threefold and cumulative chemical production over time.
Scientists at AIMR successfully demonstrated Rabi-like splitting in an artificial magnet using nonlinear coupling, preserving the system's symmetries. This finding opens up new possibilities for advancing our understanding of nonlinear dynamics and coupling phenomena in artificial control.
Physicists Björn Birnir and Luiza Angheluta develop a new mathematical model to characterize Lagrangian turbulence, which captures its complex phenomena. The study reveals the presence of a Lagrangian scaling regime and connects three scaling regimes as the turbulent flow evolves.
Researchers have developed an algorithm to infer the structure of hypergraphs using only observed dynamics, allowing for the analysis of complex systems without prior knowledge. The approach was tested on EEG data from over 100 human subjects and accurately captured higher-order interactions in the brain.
A University of Ottawa-led study reveals that serotonin neurons are connected and interact with each other, controlling serotonin release in specific regions of the brain. This complex system has implications for understanding decision-making and developing targeted therapeutics for mood disorders.
A team of researchers from Osaka University has demonstrated that human tissue can be used to solve complex equations and process information, outperforming traditional computing methods. This breakthrough uses the concept of reservoir computing, where data is input into a complex 'reservoir' that encodes rich patterns.
A novel self-sustaining circuit configuration enables miniature devices like microdrones to fly for longer periods while staying lightweight and compact. The system utilizes emerging solid-state batteries with high energy density and ultra-lightweight design.
The researchers developed a novel camera-based system that adapts to traffic flow in real-time, ensuring efficient monitoring and resource use. The system's two approaches, the Random-Value-Camera-Level Algorithm and the ALL-Random-With-Weight Algorithm, optimize camera usage and save energy while maintaining reliable surveillance.
Dr. Wencai Liu, an associate professor at Texas A&M University, has been selected for the 2024 IUPAP Early Career Scientist Prize in Mathematical Physics. His research focuses on linear and nonlinear Schrodinger equations, contributing to our understanding of quantum mechanics and its applications.
Researchers introduce ghost channels and cycles to understand transient behaviors in complex systems like climate processes or neuronal networks. This new approach challenges traditional concepts based on stable or unstable equilibria, potentially helping predict tipping cascades and ecosystem degradation.
Researchers at Osaka University have developed a faster, highly accurate way to measure the temperatures of electronic components using neutrons. The technique, called neutron resonance absorption, can acquire temperature data in just 100 nanoseconds.
Researchers developed a quantum annealing approach to accelerate data assimilation, significantly reducing computational cost. The method achieves comparable accuracy to conventional approaches but in a fraction of the time.
Researchers found that zebrafish synchronize movements by taking turns to move and responding to neighbors' timing, a two-way process known as reciprocity. Virtual reality experiments confirmed the principle, enabling the recreation of natural schooling behavior in fish and virtual conspecifics.
This study investigates the impact of Zeolitic tuffs on the dynamic creep and tensile performance of Superpave asphalt mixtures. The results show that incorporating Zeolitic tuffs improves the mixtures' resistance to rutting and fatigue, with enhanced performance at 25% and 50% filler concentrations.
Researchers at Rice University and the University of Illinois Urbana-Champaign have found that chemical reactions can scramble quantum information, similar to black holes. This discovery could lead to new methods for controlling molecular behavior and improving the reliability of quantum computers.
A new study by UMass Amherst and the Wildlife Conservation Society finds that climate change disproportionately affects older African elephants, who will have decreased chances of survival. This can lead to a ripple effect on their ecosystems and cultures, highlighting the need for coordinated management strategies at all levels.
Researchers from Osaka University developed an AI algorithm called FINDE that discovers and preserves the underlying conservation laws of real-world dynamical systems, not just superficial dynamics. FINDE allows for more accurate computer simulations and can reveal additional information about a system's structure.
Researchers developed an active model to describe systems of many active particles, finding similarities with the Schrödinger equation and analogies to quantum effects such as tunneling and dark matter.
A University of Houston researcher has developed a method to describe complex systems using the least number of variables possible, reducing complexity from millions to just one. This advancement speeds up science with efficiency and ability to understand and predict natural system behavior.
The new system consists of two gels with different properties that respond homeostatically to environmental changes. Researchers have created a feedback loop using lasers and mirrors, allowing the system to regulate its temperature in response to external stimuli.
Researchers studied the body ownership illusion using integrated information theory, discovering a relationship between local and global brain-body processes. This work may help explain altered states of consciousness, such as the blurring of self and non-self, leading to feelings of uneasiness.
Researchers from NC State University have developed a dynamic computational tool to help improve user access to electric vehicle (EV) charging stations. The technique accounts for factors such as charging time, cost, and wait times to provide users with the most convenient options.
A research team used game theory to analyze cooperation in networks and found that networks with a high level of cooperation can emerge if individuals take a clear-cut position against free riders. The study also showed that if contributors leave an environment too quickly, it leads to a lower level of cooperation.
A research team from the Complexity Science Hub Vienna has developed a stress test to identify weaknesses and strengths in healthcare systems. They used data from Austria to show how many resident physicians can drop out before patients don't find a new doctor within reasonable distance, highlighting regional differences in resilience.
A new method reduces computational complexity of traffic models, making them operate more efficiently. The modified algorithm breaks down complex forecasting questions into smaller problems that can be solved in parallel, significantly reducing run time. This approach also allows for a good enough solution within an error bar, rather t...
Researchers from Tokyo University of Science have designed a tunable physical reservoir device based on dielectric relaxation at an electrode-ionic liquid interface. The system can store and process analog signals, enabling real-time processing of signals in living environments.
A new control allocation method using a neural network improves the performance of quadrotor controllers by considering aerodynamic effects. This approach reduces errors in command generation and delivers better thrust and torque signals.
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.
Researchers develop a new method to reconstruct the states of complex nonlinear systems based on time series data. The approach optimizes reconstruction parameters by focusing on the geometric structure of attractors, resulting in improved accuracy.
Researchers used a novel approach to understand the effects of human activity on the planet, introducing three parameters: delay time, memory, and persistence. They found that the atmosphere, land, and ocean system is fragile and could be forced outside its natural regime before 2050 if emissions continue as usual.
Jo Nelson, a Rice mathematician, has received the prestigious NSF CAREER Award to investigate manifold dynamics and promote diversity in academia. Her research focuses on contact and symplectic manifolds, with applications in low-energy space travel and anti-racism studies.
A novel dynamic event-triggered scheduling approach is proposed to solve the platooning control problem, demonstrating effective trade-off between performance and efficient communication. The researchers aim to further investigate resource-efficient control strategies to preserve satisfactory operational performance.
Researchers describe a simple argument showing that basins in high-dimensional systems should look like high-dimensional octopi. The volume of these basins cannot be correctly approximated by a hypercube, which fails to encompass the vast majority of points in the basin.
Researchers applied a physics method to Balinese rice irrigation practices, finding that a balance between water stress and pest stress is crucial for equilibrium. The traditional method, which involves synchronized flooding, can help maintain social harmony and prevent chaos in water schedules.
Researchers at Skoltech extend the adiabatic theorem to finite temperatures, ensuring more stable quantum dynamics. The findings have significant implications for next-generation quantum devices and computing.
A new Australian study examines systems transitioning from a normal fluid to a quantum state known as a superfluid, which can flow with zero friction. The research provides new insights into the formation of these remarkable states, revealing different timescales and correlations involved.
Scientists have developed a paramagnetic ring that encapsulates water droplets under a magnetic field, enabling precise manipulation. The ring, made of an oil-based ferrofluid, forms spontaneously around the droplet and can be moved remotely by changing the magnetic field.
The University of Washington is leading a new NSF institute focused on using artificial intelligence to understand dynamic systems, which describe chaotic situations where conditions are constantly shifting and hard to predict. The institute aims to integrate fundamental AI theory with applications in critical technological areas.
Researchers used ship movement data to estimate wave conditions in real time, without extra costs for measurement instruments. The approach combines cause-and-effect calculations with ship geometry and dynamic motions.
Researchers propose a new framework to study coexistence in multi-species systems, showing that global dynamics can be predicted from pairwise interactions. The model uses time-scale separation and replicator equations to capture the essence of competition between multiple strategies.
Professor Maurizio Porfiri's research provides a model-free approach to determine the size of complex systems, even when only a small portion is accessible. For homogeneous networks, accessing just 10% of units can be sufficient to infer the entire network size.
In one dimension, bosons can form a Fermi sea similar to non-interacting fermions, but still exhibit bosonic velocity distribution. This phenomenon demonstrates the complex behavior of ultracold gases in optical lattices and has implications for quantum devices and systems
A team of researchers has developed a minimal logic system to bridge the gap between mathematical proofs, algorithms, and real-world outcomes in control systems. The work, published in IEEE/CAA Journal of Automatica Sinica, aims to improve the realism of theoretical mathematics by focusing on computational certainty.
Researchers identified a neural strategy that enables the brain to rapidly select and perform different mental operations. The brain uses a combination of internal cues and external inputs to control movement times flexibly, allowing for novel computations on the fly.
A researcher at the University of Kansas is working on developing a foundational mathematical framework to account for unstructured uncertainty in complex dynamic systems. The goal is to improve predictive accuracy in fields such as engineering, nature, and global climate change.
The National Science Foundation has awarded $13 million to nine researchers studying socioecological system dynamics related to livelihoods, human migration and landscape evolution. The grants will help understand the complex interactions between humans and natural systems in deltas globally.
Numerical simulations by Everton Santos Medeiros provide a better understanding of the characteristics of tipping points in natural and social systems. The study highlights the persistence of system dynamics after irreversibility, masking the transition itself.
A novel control scheme is proposed to control unknown nonlinear systems without exact knowledge of system dynamics. The method uses an observer-based approach with a neural network to observe the system at multiple time scales and update its information.
DeMarco's work on dynamical systems has led to the emergence of arithmetic dynamics, a field that connects number theory with mathematical structures. Her research has also shed light on connections between dynamical systems and elliptic curves in arithmetic geometry.
A new mathematical model describes the relationship between belief systems and interpersonal influence, revealing an underlying cognitive consistency that links multiple beliefs. The model has the potential to study overlooked complex issues by analyzing the structure of logic constraints.
Researchers at Sandia National Laboratories explore neural computing applications, including adaptive learning, dynamical systems, and spiking network algorithms. These approaches aim to overcome the static learning bottleneck and enable precise computations.
A new detection system for Android could protect smartphones from malicious content, finding that even reputable apps can lead users to websites hosting malicious ads. The team tested one million apps and found that ads asking users to download a program are the most dangerous, containing malicious software about 50% of the time.
A team of scientists found a coral species that can maintain a constant pH in its calcifying fluid, even under acidic conditions. This unique mechanism allows the coral to form its calcium carbonate skeleton and grow at a relatively constant rate.
A new mathematical model investigates the impact of individual movement on infectious disease spread, finding that spatial dispersal can create up to nine stable equilibria. The study highlights the importance of considering both backward bifurcation and spatial mobility in epidemiology.