50 papers
This paper introduces a versatile, momentum-conserving agent-based model for active flexible rods that successfully reproduces key hallmarks of active turbulence, such as spontaneous flows and defect dynamics, while also capturing emergent density-orientation coupling and enabling the simulation of complex phenomena like 3D flows and tissue growth.
By combining the energy resolution limits of quantum sensors with the human brain's metabolic power, this paper establishes a technology-independent fundamental bound of approximately 2.2 Mbit/s on the information capacity of magnetoencephalography, revealing an inherent spatio-temporal trade-off that limits the spatial complexity of detectable neural patterns.
This paper introduces a data-driven, neural-network-based approach that reduces the complexity of diverse microbiomes into a few interpretable functional groups, thereby linking specific microbial or genetic traits to community-wide functions and responses to perturbations across human and environmental health contexts.
This study reveals that the Integration Host Factor (IHF) switches from a DNA-bending function at physiological pH to a DNA-bridging mechanism under acidic biofilm-like conditions (pH < 5) due to protonation-induced exposure of positively charged residues, thereby explaining its structural role in biofilm stability.
This paper presents a framework called CV-FEST that utilizes Harmonic Linear Discriminant Analysis to predict and rationally engineer the conformational transition rates of proteins like Chignolin by correlating residue-level mutation effects and statistical separation metrics with free-energy barriers, all derived from minimal local sampling without the need for exhaustive simulations.
This study demonstrates that a statistical mechanics model, combining a linear model with an Ising model and parametrized by in vitro binding energy measurements of the transcription factor Klf4, accurately predicts its genome-wide occupancy across the human genome without additional fitting parameters.
This study reveals that defect creation and annihilation in diverse active living systems exhibit spatial symmetry breaking and irreversibility driven by a dualism between nematic structure and polar forces, challenging conventional active nematic theories and highlighting these processes as major sources of entropy production.
This paper departs from conventional dynamical systems analyses of genetic circuits by employing statistical mechanical models to examine how endogenous effector concentrations, rather than manually tuned parameters, regulate the stability of regulatory motifs, offering a more physiologically relevant perspective than traditional Hill function-based approaches.
This study assesses the implementation of radiation protection systems in four Ethiopian hospitals, revealing that while background and idle radiation levels are safe, poor operational practices and a lack of monitoring equipment lead to dangerously high exposure for staff during active X-ray procedures, necessitating immediate training, modern equipment, and dedicated radiation protection oversight.
This review advocates for the adoption of microphysiological systems (MPS) as advanced, physiologically relevant models to overcome the limitations of traditional methods in assessing nanotoxicity, thereby enabling safer and more reliable risk-benefit evaluations for nano-enabled food innovations.