Two antagonistic response regulators control Pseudomonas aeruginosa polarization during mechanotaxis

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The bacterial type VI secretion system (T6SS) is a widespread, kin-discriminatory weapon capable of shaping microbial communities. Due to the system’s dependency on contact, cellular interactions can lead to either competition or kin protection. Cell-to-ce ...

Gels made of telechelic polymers connected by reversible cross-linkers are a versatile design platform for biocompatible viscoelastic materials. Their linear response to a step strain displays a fast, near-exponential relaxation when using low-valence cros ...

Machine learning has provided a means to accelerate early-stage drug discovery by combining molecule generation and filtering steps in a single architecture that leverages the experience and design preferences of medicinal chemists. However, designing mach ...

We propose a novel approach to evaluating the ionic Seebeck coefficient in electrolytes from relatively short equilibrium molecular dynamics simulations, based on the Green-Kubo theory of linear response and Bayesian regression analysis. By exploiting the ...

Statistical (machine-learning, ML) models are more and more often used in computational chemistry as a substitute to more expensive ab initio and parametrizable methods. While the ML algorithms are capable of learning physical laws implicitly from data, ad ...

The World Health Organization highlights the urgent need to address the global threat posed by antibiotic-resistant bacteria. Efficient and rapid detection of bacterial response to antibiotics and their virulence state is crucial for the effective treatmen ...

Cholera, caused by the bacterium Vibrio cholerae, has affected humanity throughout history and still impacts millions of people every year. Apart from being a human pathogen, V. cholerae is a common member of the aquatic environment. Due to this natural re ...

Situational awareness strategies are essential for the reliable and secure operation of the electric power grid which represents critical infrastructure in modern society. With the rise of converter-interfaced renewable generation and the consequent shift ...

The HST treasury programme BUFFALO provides extended wide-field imaging of the six Hubble Frontier Fields galaxy clusters. Here we present the combined strong and weak-lensing analysis of Abell 370, a massive cluster at z = 0.375. From the reconstructed to ...

The biofilm lifestyle is the most widespread survival strategy in the bacterial world. Pseudomonas aeruginosa biofilms cause chronic infections and are highly recalcitrant to antimicrobials. The genetic requirements allowing P. aeruginosa to grow into biof ...

Two related methods for inverting line-integrated measurements are presented in this research paper in the context of the recent deuterium-tritium experiments in the JET tokamak. Unlike traditional methods of tomography, these methods rely on making use of ...

Drosophila melanogaster, commonly known as the "fruit fly", is a genetically tractable model organism widely used to study biological processes, notably the innate immune system. The advent of novel genome editing technologies, such as the CRISPR-Cas9 syst ...

Chimeric antigen receptors (CARs) are synthetic, transmembrane proteins that trigger immune cell signaling following their engagement. They have been first utilized in T cells and later in natural killer (NK) cells to redirect their cytotoxicity toward a s ...

Dreissena polymorpha is a bivalve promising for biomonitoring in freshwater ecosystems thanks to its abundance and high filtration activity allowing rapid uptake of toxicants and identification of their negative effects. Nonetheless, we still lack knowledg ...

We enable the estimation of the per-axon axial diffusivity from single encoding, strongly diffusion-weighted, pulsed gradient spin echo data. Additionally, we improve the estimation of the per-axon radial diffusivity compared to estimates based on spherica ...

Higher-order asymptotics provide accurate approximations for use in parametric statistical modelling. In this thesis, we investigate using higher-order approximations in two-specific settings, with a particular emphasis on the tangent exponential model. ...

Interactions are ubiquitous in our world, spanning from social interactions between human individuals to physical interactions between robots and objects to mechanistic interactions among different components of an intelligent system. Despite their prevale ...

Computational chemistry aims to simulate reactions and molecular properties at the atomic scale, advancing the design of novel compounds and materials with economic, environmental, and societal implications. However, the field relies on approximate quantum ...

Structure determination of amorphous materials remains challenging, owing to the disorder inherent to these materials. Nuclear magnetic resonance (NMR) powder crystallography is a powerful method to determine the structure of molecular solids, but disorder ...

Central nervous system organogenesis is a complex process that obeys precise architectural rules. The impact that nervous system architecture may have on its functionality remains, however, relatively unexplored. To clarify this problem, we analyze the dev ...

Two antagonistic response regulators control Pseudomonas aeruginosa polarization during mechanotaxis

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Interactions between pili affect the outcome of bacterial competition driven by the type VI secretion system

Valence can control the nonexponential viscoelastic relaxation of multivalent reversible gels

Machine learning-aided generative molecular design

Seebeck Coefficient of Ionic Conductors from Bayesian Regression Analysis

Encoding quantum-chemical knowledge into machine-learning models of complex molecular properties

Machine learning method for the classification of the state of living organisms' oscillations

Dangerous acquaintances: the interplay between type IV pili and the type VI secretion system during Vibrio cholerae's environmental lifestyle

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Beyond the ultradeep frontier fields and legacy observations (BUFFALO): a high-resolution strong plus weak-lensing view of Abell 370

Material Substrate Physical Properties Control Pseudomonas aeruginosa Biofilm Architecture

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Functional characterization of Drosophila melanogaster immune effectors

Unlocking Hidden Potential: Exploring the Complexities of Signaling in Immune Cell Activation to Optimize CAR Therapy

Bioaccumulation and molecular effects of carbamazepine and methylmercury co-exposure in males of Dreissena polymorpha

Axial and radial axonal diffusivities and radii from single encoding strongly diffusion-weighted MRI

Higher Order Asymptotics: Applications to Satellite Conjunction and Boundary Problems

Learning Robust and Adaptive Representations: from Interactions, for Interactions

Advancing Computational Chemistry with Stochastic and Artificial Intelligence Approaches

Atomic-level structure determination of amorphous molecular solids by NMR

Puckered and JNK signaling in pioneer neurons coordinates the motor activity of the Drosophila embryo