Publications related to Surface Grafted Polymer Brushes : A Versatile Platform for Antibacterial Applications

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

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 ...

Frontiers Media Sa2024

Stability of influenza A virus in droplets and aerosols is heightened by the presence of commensal respiratory bacteria

Tamar Kohn, Htet Kyi Wynn, Céline Terrettaz, Aline Laetitia Schaub, Athanasios Nenes, Kalliopi Violaki, Marta Augugliaro, Shannon Christa David, Ghislain Gilles Jean-Michel Motos, Walter Hugentobler, Laura José Costa Henriques, Daniel Scott Nolan

Aerosol transmission remains a major challenge for control of respiratory viruses, particularly those causing recurrent epidemics, like influenza A virus (IAV). These viruses are rarely expelled alone, but instead are embedded in a consortium of microorgan ...

American Society for Microbiology2024

Bactericidal effect of tetracycline in E. coli strain ED1a may be associated with ribosome dysfunction

Martin Beck, Camille Véronique Bernadette Goemans, Christian Eugen Zimmerli

Ribosomes translate the genetic code into proteins. Recent technical advances have facilitated in situ structural analyses of ribosome functional states inside eukaryotic cells and the minimal bacterium Mycoplasma. However, such analyses of Gram-negative b ...

Nature Research2024

Modified capillary number to standardize droplet generation in suction-driven microfluidics

Jatin Panwar, Rahul Roy

In droplet microfluidic devices with suction-based flow control, the microchannel geometry and suction pressure at the outlet govern the dynamic properties of the two phases that influence the droplet generation. Therefore, it is critical to understand the ...

Springer Heidelberg2024

Strategy to systematically design and deploy the ITER plasma control system: A system engineering and model-based design approach

Richard Pitts, Federico Alberto Alfredo Felici, Federico Pesamosca, Anna Ngoc Minh Trang Vu

The paper details the process of developing the ITER Plasma Control System (PCS), that is, how to design and deploy it systematically, in the most efficient and effective manner. The integrated nature of the ITER PCS, with its multitude of coupled control ...

Elsevier Science Sa2024

Homogeneous vs. heterogeneous photo-Fenton elimination of antibiotic-resistant bacteria bearing intracellular or extracellular resistance: Do resistance mechanisms interfere with disinfection pathways?

César Pulgarin, Stefanos Giannakis, Truong-Thien Melvin Le, Jérémie Decker

The present study aimed to fill the knowledge gap between the implications of intracellular and extracellular antibiotic resistance mechanisms may inflict on the inactivation pathways of the photo-Fenton process under mild conditions. It was thus designed ...

Elsevier Sci Ltd2024

Accurate and rapid antibiotic susceptibility testing using a machine learning-assisted nanomotion technology platform

Sandor Kasas, Eric Delarze, Florian Tagini, Gino Cathomen, Anthony Vocat, Laura Munch

Antimicrobial resistance (AMR) is a major public health threat, reducing treatment options for infected patients. AMR is promoted by a lack of access to rapid antibiotic susceptibility tests (ASTs). Accelerated ASTs can identify effective antibiotics for t ...

Nature Portfolio2024

Oligolithic Cross-task Optimizations across Isolated Workloads

Anastasia Ailamaki, Panagiotis Sioulas, Eleni Zapridou

Enterprises collect data in large volumes and leverage them to drive numerous concurrent decisions and business processes. Their teams deploy multiple applications that often operate concurrently on the same data and infrastructure but have widely differen ...

2024

Dynamical simulation via quantum machine learning with provable generalization

Zoë Holmes

Much attention has been paid to dynamical simulation and quantum machine learning (QML) independently as applications for quantum advantage, while the possibility of using QML to enhance dynamical simulations has not been thoroughly investigated. Here we d ...

Amer Physical Soc2024

A semantic model-based systems engineering approach for assessing the operational performance of metal forming process

Dimitrios Kyritsis, Jinzhi Lu, Xiaochen Zheng

Metal Forming is a basic and essential industrial process to provide materials for constructing complex products. To design an efficient metal forming process, the functional requirements and operational performance are two important aspects to be consider ...

Pergamon-Elsevier Science Ltd2024

RE:SLAB — a load bearing system for open-ended component reuse in building structures

Dario Redaelli, Corentin Jean Dominique Fivet, Jan Friedrich Georg Brütting, Alex-Manuel Muresan, Edisson Xavier Estrella Arcos

The construction industry plays a major role in the high levels of greenhouse gas emissions, resource consumption, and waste generation observed nowadays. Key to the circular economy, structural component reuse arises as a promising solution to divert cons ...

2024

An aircraft assembly process formalism and verification method based on semantic modeling and MBSE

Dimitrios Kyritsis, Jinzhi Lu, Xiaochen Zheng

The aircraft assembly system is highly complex involving different stakeholders from multiple domains. The design of such a system requires comprehensive consideration of various industrial scenarios aiming to optimize key performance indicators. Tradition ...

Elsevier Sci Ltd2024

S-acylation and lipid exchange at the ER-Golgi membrane contact sites regulate pathogen entry in human cells

Muhammad Umair Anwar

Cells have evolved endocytic pathways to internalize different molecules, to regulate intra-cellular communication and their interaction with external environment. Pathogens have co-evolved with cells to exploit these processes for infections. In particula ...

EPFL2024

Single-cell analysis of the interactions between Mycobacterium tuberculosis and macrophages

Ophélie Rutschmann

Mycobacterium Tuberculosis is a highly effective pathogen infecting nearly a third of the world's population. An M. tuberculosis infection starts when droplets containing bacteria enter an individual's lungs. The first host cells to contact the bacteria ar ...

EPFL2024

Simple optical nanomotion method for single-bacterium viability and antibiotic response testing

Sandor Kasas, María Inés Villalba, Allan Bonvallat, Eugenia Rossetti

Antibiotic resistance is nowadays a major public health issue. Rapid antimicrobial susceptibility tests (AST) are one of the options to fight this deadly threat. Performing AST with single-cell sensitivity that is rapid, cheap, and widely accessible, is ch ...

National Academy of Sciences2023

Biofilm morphogenesis on soft hydrogels

Alice Cont

Bacteria often colonize their environment in the form of surface attached multicellular communities called biofilms. Biofilms grow from surface-attached cells that undergo division while self-embedding in a viscoelastic matrix. Biofilms grow at the surface ...

EPFL2023

Antimicrobial susceptibility testing with integrated photonic crystal optical tweezers

Nicolas Villa

The abusive use of antimicrobial drugs during the last eighty years has favoured the natural selection of resistant pathogens able to neutralise drugs efficiently. Nowadays, antimicrobial resistance contributes to millions of deaths yearly, threatens the e ...

EPFL2023

Material Substrate Physical Properties Control Pseudomonas aeruginosa Biofilm Architecture

Alice Cont, Alexandre Louis André Persat

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 ...

AMER SOC MICROBIOLOGY2023

Glacier-Fed Stream Biofilms Harbor Diverse Resistomes and Biosynthetic Gene Clusters

Leïla Ezzat, Vincent Henri De Staercke, Tom Ian Battin, Paraskevi Pramateftaki, Hannes Markus Peter, Matteo Tolosano, Michail Styllas, Tyler Joe Kohler, Stylianos Fodelianakis, Massimo Bourquin, Susheel Bhanu Busi, Grégoire Marie Octave Edouard Michoud

Antimicrobial resistance is an omnipresent phenomenon in the anthropogenically influenced ecosystems. However, its role in shaping microbial community dynamics in pristine environments is relatively unknown. ...

AMER SOC MICROBIOLOGY2023

Lessons Learned from Data-Driven Building Control Experiments: Contrasting Gaussian Process-based MPC, Bilevel DeePC, and Deep Reinforcement Learning

Colin Neil Jones, Loris Di Natale, Yingzhao Lian, Emilio Maddalena, Jicheng Shi

This manuscript offers the perspective of experimentalists on a number of modern data-driven techniques: model predictive control relying on Gaussian processes, adaptive data-driven control based on behavioral theory, and deep reinforcement learning. These ...

2023