Crush monsters and get loots in the classic turn-based style of deep dungeons and high adventure! Grow the Dungeonmans Academy, a bastion of learning that expands as you play. Serious gameplay with a ...

YouTube video by Destiny

**Abstract:** This research introduces a novel framework for enhancing the robustness and self-repair capabilities of self-replicating supramolecular structures. By integrating dynamic molecular assembly networks (DMANs) with feedback-controlled error detection and correction mechanisms, we propose a system capable of adapting to environmental fluctuations and intrinsic manufacturing defects. The core innovation lies in utilizing molecular recognition motifs coupled with redox-responsive polymers to dynamically reconfigure the assembly process, effectively mitigating errors and ensuring structural integrity during replication.

We studied the properties of dark matter admixed-neutron stars (DMANS), considering fermionic dark matter (DM) that interacts gravitationally with hadronic matter (HM). Using relativistic mean-field equations of state (EoSs) for both components, we solved the two-fluid Tolman Oppenheimer Volkoff (TOV) equations to determine neutron star (NS) properties assuming that DM is confined within the stellar core. For hadronic matter, we employed realistic EoSs derived from low energy nuclear physics experiments, heavy-ion collision data, and NS observations. To constrain key dark matter parameters such as particle mass, mass fraction, and the coupling to mass ratio, we applied Bayesian inference, incorporating various astrophysical data including mass, radii, and NICER mass-radius distributions for PSR J0740+6620 and PSR J0030+0451. Additionally, we explored the influence of high-density HM EoSs and examined the impact of stiffer hadronic EoSs, excluding the vector meson self-interaction term. Our findings indicate that current astrophysical observations primarily constrain the dark matter fraction, while providing limited constraints on the particle mass or coupling. However, the dark matter fraction is largely insensitive to how astrophysical observations or uncertainties in the high-density EoS are incorporated. Instead, it is predominantly determined by the stiffness of the hadronic EoS at high densities, with stiffer hadronic EoSs yielding a higher dark matter mass fraction. Therefore, we conclude that the dark matter fraction plays a crucial role in shaping the properties of DMANS. Future investigations incorporating more realistic EoSs and astrophysical observations of other compact objects may provide deeper insights into dark matter.