Diverse magnetotactic bacteria are adapted to the local geomagnetic field and grain size to maximize their swimming speed through the pore space.

Modern science wouldn’t exist without the online research repository known as arXiv. Three decades in, its creator still can’t let it go.

We use unsupervised machine learning to construct a phase diagram of a simple 2D rose water model. The machine learning method that we use is a combination of dimensionality reduction methods and clustering algorithms. Two different data sets from the same simulations are used as input data for machine learning. These are angular distribution functions and a set of different thermodynamic, dynamic, and structural properties. To evaluate the efficiency of the method, the machine learning results are compared to manually determined phase diagrams. We show that the methods successfully predict the phase diagram of the rose water model. Furthermore, the phase diagrams obtained from the two data sets are in semiquantitative agreement with each other. Four different solid phases, one liquid phase, and one gaseous phase were determined. The method we have presented is straightforward and easy to implement. It requires almost no prior knowledge of the system to obtain a phase diagram. The method can also be used to distinguish between the different parts of the same phase that have different properties or a sufficiently different structure, and in this way find local differences and anomalies.

Hundreds of Defense Department students in Europe and Asia staged a walkout to rally against the removal of diversity initiatives, symbols and ideas in their schools as part of the largest student-led...

The Holocaust continues to haunt our politics. But slurring our opponents as Hitlers is not the way to defeat them.

De fa unes setmanes, hi ha una encesa polèmica en el món de l’ensenyament. Em refereixo a la proposta feta pel Govern de reduir les matèries de Ciències a

El Ministerio de Ciencia cancela la convocatoria para la que se habían coordinado cientos de investigadores y aduce "circunstancias sobrevenidas" y la necesidad de "priorizar programas de ayuda para l...

Un informe del cos policial revela que Josep Lluís Alay va ser espiat des de l'octubre del 2019, quan Marlaska ja era ministre

A Carlo M. Cipolla, un dels historiadors de l’economia més destacats del segle XX, li agradava entretenir els seus amics amb petits assajos intel·ligents i humorístics. Dos van acabar publicant-se ple...

The ability of biological systems to withstand and recover from various disruptions, such as spontaneous genetic mutations and environmental damage, largely relies on intricate feedback mechanisms. We theoretically study the mechanical response of an epithelial tissue facing damage in the form of a circular wound. Our model describes a feedback loop between the generation of active forces in the actomyosin and tissue mechanics, described by the vertex model. While the exact dynamics of wound closure may be influenced by several biophysical mechanisms that interplay in a nontrivial way, our findings suggest that the closure may initiate as an active instability, triggered by a reduced myosin turnover rate at the wound’s perimeter.