A new modeling study suggests that regular testing for sexually transmitted infections (STIs) can successfully reduce their spread, even if individuals on PrEP engage in riskier behavior. The paradoxical findings highlight the importance of careful surveillance data interpretation when evaluating public health interventions.
An interdisciplinary team will investigate stratocumulus clouds using the CloudKite observatory and research drones to develop models for turbulent processes. This project aims to improve weather and climate predictions by reducing uncertainty.
Scientists at MPI-DS found that non-reciprocal interactions create stable and ordered structures through chasing dynamics, even with added noise and fluid interactions. This discovery reveals the core role of non-reciprocal interactions in primitive self-organization and living systems.
Researchers at Max Planck Institute develop protocols for optimal mixing in cellular and microfluidic systems, overcoming energetic and fluid motion limitations. Their findings reveal a fundamental limit on information erasure efficiency, providing a theoretical framework for efficient engineering designs.
Researchers introduce non-linearity to non-reciprocal interactions, resulting in dynamic and unpredictable system behavior. The system exhibits both run-and-chase dynamics and phase separation, with the roles of molecule species reversing dynamically, leading to chaos.
Researchers from Max Planck Institute for Dynamics and Self-Organization derived three golden rules to design functional enzymes. These rules prioritize interface coupling, conformational change speed, and reaction dynamics.
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 at MPI-DS discovered that non-reciprocal interactions between particles can homogenize mixtures and control particle organization. This study offers a new route to understanding how complex patterns and structures emerge and maintain cellular functions.
Göttingen research team develops infomorphic neurons that learn independently and self-organize among neighboring neurons. This allows the smallest unit in the network to control its own learning, enabling novel machine learning approaches and a deeper understanding of brain function.
Researchers Navdeep Rana and Ramin Golestanian investigated non-reciprocal interaction and defect formation in active systems, finding well-ordered wave patterns emerge when non-reciprocity exceeds a certain level. This property opens avenues for applications of non-reciprocal active matter systems.
Scientists discovered that cyanobacteria align along inner edges of illuminated surfaces to create stable structures. This collective behavior arises from individual filament movement, enabling the formation of complex structures and curves.
Researchers analyzed over 450 jazz improvisations and 99 classical compositions to quantify musical pitch sequence similarity. They found high predictability until a time limit, after which sequences become unpredictable and variable.
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 from MPI-DS investigated how non-reciprocal interactions can help overcome static equilibrium states in complex systems. They found that these interactions can counteract energy barriers, allowing trapped systems to escape and potentially leading to more efficient molecular systems.
Researchers discovered cyanobacteria start bending at around 150 micrometres, revealing a natural tipping point for movement adaptation. This finding has implications for biotechnology applications, such as biofuel production and adaptive biomaterials.
Scientists developed a model to predict pattern formation by phase separation, considering material properties and molecular arrangements. The new theory can help engineers create specific nanoscopic structures following nature's principles of self-organization.
Scientists developed a new method of gentle defibrillation to control cardiac arrhythmias using low-energy pulses. The approach uses optical light pulses triggered by measured arrhythmic activity, effectively terminating arrhythmias with minimal impact on the heart.
Researchers have discovered a universal mechanism for cell motility, applying to various types of migrating cells. Cells tend to move circumferentially on convex structures and prefer axial forward or backward motion on concave surfaces.
Researchers at Max Planck Institute for Dynamics and Self-Organization developed a precision apparatus to observe non-spherical particles settling in air. They found that particles tend to oscillate as they settle, which could impact collision rates, travel distance, and solar radiation interaction.
A new study reveals that microplastic fibers settle substantially slower than spherical particles in the atmosphere, allowing them to reach remote regions such as Arctic glaciers. The research suggests that these fibers could even reach the stratosphere, with potential implications for cloud processes and ozone depletion.
The study reveals a way to extend the Lorentz reciprocal theorem to systems with broken symmetries, enabling analytical calculations for fluids and self-propelled microorganisms. This generalization opens up new avenues for exploring systems with odd viscosities.
A new model describes microswimmer self-propulsion energy requirements, enabling optimized shape designs and applications in microfluidics, biophysics, and material science. The study reveals surprising similarities between artificial and natural shapes.
Researchers developed a model demonstrating that chasing interactions can induce dynamical patterns in bacterial organization. The structure becomes visible on a higher level, without requiring adhesion or alignment.
Cilia synchronize their beating pattern by leveraging the fluid surrounding them and the border region. This observation reveals that border regions play a critical role in self-organization of living matter, similar to macroscopic mechanisms.
Scientists propose an alternative model to explain the fast onset of chemical reactions required for life. The new paradigm suggests that catalytic clusters can form rapidly and in large numbers, enabling the self-organization of molecules into living structures.
Scientists at Max Planck Institute for Dynamics and Self-Organization have challenged long-held assumptions about turbulent flows, finding deviations from established scaling laws in highly idealized environments. This discovery has implications for understanding turbulence in engineered flows, weather forecasts, and climate models.
A study found that children exhale fewer small particles, which are less likely to spread diseases like COVID-19. Larger particles produced by adults and children can transmit infections equally well, highlighting the importance of wearing high-efficiency masks for disease prevention.
Researchers at Max Planck Institute developed a new model describing the autonomous remodeling of molecular structures. This concept sheds light on self-organization in living matter and could inspire engineering strategies for designing molecular robotic shape-shifters.
Enzymatic reactions induce phase separation and autoregulation of enzyme activity, creating dynamic environments for cellular processes. This novel mechanism provides an alternative to traditional understanding of cellular organelle function.
Researchers found that downbeat delays, rather than minute timing deviations, are key components of the swing feel in jazz. Downbeat delays of about 30 milliseconds enhanced the swing feel, while uniformly delaying offbeats did not.
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.
Research reveals that gut flow velocity directly affects nutrient absorption and bacterial levels, with optimal conditions for each. The study suggests the gut adjusts its flow speed to regulate these processes in response to meal intake or fasting, potentially preventing diseases such as chronic fatigue and poor nutrient absorption.
A study by the Max Planck Institute found that playing wind instruments releases fewer viruses into the air than singing, but still more than breathing quietly. Wind instruments act as filters for larger particles, reducing transmission risk, while smaller particles spread further and pose a higher risk.
Researchers developed a computer model to investigate complex fluids and droplet formation in living cells. The study reveals that even weak interactions can lead to robust emergence of complex behavior, such as droplet formation, which has significant implications for understanding cellular mechanisms.
A stable regime can be achieved at low case numbers through non-pharmaceutical interventions, but a fast and efficient 'test-trace-and-isolate' system is crucial for maintaining freedom without lockdowns. This approach has been proven effective in containing disease spread during the COVID-19 pandemic.
The study models biomolecular condensates using oil droplets and polymer mesh, revealing temperature modulation's impact on droplet growth and size distribution. The results provide insights into the formation of microscopic patterns in biological systems.
Researchers found that microbes exhibit highly organized and symmetrical movement patterns in response to interface curvature. The strength of the flux depends on the curvature, enabling the prediction of microbial navigation behavior.
Biochemical processes exhibit topological protection, ensuring robustness to changes in system shape or disorder. Edge currents emerge from futile cycles, driven by energy consumption, and are linked to out-of-equilibrium nature.
Researchers from Max Planck Institute for Dynamics and Self-Organization analyzed COVID-19 case numbers in Germany, examining the effectiveness of interventions. They found that measures slowed down the spread of the virus but did not completely halt it, and their model calculations show how different scenarios play out.