Review
Chemistry, Multidisciplinary
Yajuan Su, Jaime T. Yrastorza, Mitchell Matis, Jenna Cusick, Siwei Zhao, Guangshun Wang, Jingwei Xie
Summary: This review article discusses the threat of biofilms to human health, explores the mechanisms of biofilm formation and treatment strategies, and summarizes established biofilm models used in research. Furthermore, it discusses potential targets for the development of new strategies to combat biofilms and presents the latest technologies for the prevention and treatment of biofilms. The article concludes by pointing out directions for future studies.
Article
Biology
Noah Ford, Garth Fisher, Arthur Prindle, David Chopp
Summary: Biofilms are complex communities of bacteria that exhibit collective behaviors, including the ability for starving cells to stop the growth of other cells using potassium signaling and voltage changes. Studying the spatial patterning of the oscillatory behavior can help understand the relationships between different regions of the biofilm and develop new control techniques for biofilms with complex shapes. The development of a mathematical model and two-dimensional simulation allows for a better understanding of the oscillatory behavior seen in experimental data.
BULLETIN OF MATHEMATICAL BIOLOGY
(2021)
Article
Microbiology
Xuerui Bao, Ellen Goeteyn, Aurelie Crabbe, Tom Coenye
Summary: D,L-malate enhances ciprofloxacin activity against P. aeruginosa, improving antibiotic therapy in infection environments. The choice of model system influences the outcome of the experiment, emphasizing the importance of using models that closely mimic the in vivo environment. This study confirms the potential of D,L-malate to enhance ciprofloxacin activity against P. aeruginosa-associated infections.
ANTIMICROBIAL AGENTS AND CHEMOTHERAPY
(2023)
Article
Mathematics, Applied
Jung-Chao Ban, Jyy- Hong, Cheng-Yu Tsai, Yu-Liang Wu
Summary: When a symbol or a type is frozen, its spread pattern changes and affects the long-term behavior of the system. This paper aims to characterize the key matrices and analyze spread rates in both topological and random spread models with frozen symbols. The proposed algorithm computes the spread rate and relates it to the eigenvectors of the xi-matrix or offspring mean matrix. Additionally, the study reveals exponential population growth and asymptotically periodic population composition. Numerical experiments provide supporting evidence for the theory.
Article
Microbiology
Rebecca J. Quinn, Ivana Barraza, Laura Garcia-Dieguez, Camryn Pajon, Lauren E. Krausfeldt, Kerollos Ibrahim, Laura A. Enzinna, Morgan E. Thorn, Omar Tonsi Eldakar, Travis J. A. Craddock, Robert P. Smith
Summary: Understanding environmental factors affecting virulence factor production is important in evolution and medicine. Periodic physical disturbance can impact the production of virulence factors, such as pyoverdine, by altering the spatial structure of bacterial populations. Mathematical modeling predicts that the synthesis rate of pyoverdine and biofilm density determine the amount of pyoverdine produced during disturbance.
Review
Biology
M. Kuznetsov, J. Clairambault, V. Volpert
Summary: Despite advancements in oncological research, cancer remains a leading cause of death globally. Optimizing cancer treatment through mathematical modeling, which can address complexity and suggest potentially effective protocols, is an important goal in oncology.
PHYSICS OF LIFE REVIEWS
(2021)
Article
Materials Science, Multidisciplinary
Mohammed N. Alenezi, Fawaz S. Al-Anzi, Haneen Alabdulrazzaq, Ammar Alhusaini, Abdullah F. Al-Anzi
Summary: This study compares the SIR and SEIR models in predicting the spread of COVID-19 in Kuwait, with the SEIR model being selected for its better performance in predicting infection, recovery, and cumulative cases.
RESULTS IN PHYSICS
(2021)
Article
Engineering, Biomedical
Xiaoxia Kang, Xiaoxiao Yang, Conglin Guo, Yuechen Li, Haiwei Ji, Yuling Qin, Li Wu
Summary: Biofilms pose challenges in terms of bacterial characteristics and treatment, thus requiring the development of novel materials and strategies. This review provides a comprehensive summary of effective strategies and methodologies applicable across industries, including the process of biofilms formation, intervention strategies, treatment strategies, and antibacterial substances.
MATERIALS TODAY BIO
(2023)
Article
Mathematics
Benito Chen-Charpentier
Summary: This article introduces two models of plant virus transmission and incorporates delays. By analyzing and studying with numerical methods, it concludes that the first way of introducing delays is more justified.
Article
Physics, Fluids & Plasmas
Alexander K. Y. Tam, Brendan Harding, J. Edward F. Green, Sanjeeva Balasuriya, Benjamin J. Binder
Summary: Understanding microbial biofilm growth is crucial for public health as biofilms are a major cause of persistent clinical infections. This paper presents a thin-film model that accurately tracks the growth of microbial biofilms and the movement of nutrients, providing a theoretical basis for predicting biofilm expansion speed and thickness in future experiments.
News Item
Physics, Multidisciplinary
Japinder Nijjer, Tal Cohen, Jing Yan
Summary: This article describes the theoretical prediction and recent realization of elasticity-driven synchronization in active solids, and demonstrates its biological implementation in a bacterial biofilm.
News Item
Biochemistry & Molecular Biology
Maria Hadjifrangiskou
Summary: A new method called RainbowSeq provides increased spatial resolution for transcriptional profiling in bacterial biofilms, allowing for a deeper understanding of their complex interactions.
NATURE CHEMICAL BIOLOGY
(2023)
Editorial Material
Biology
M. Kuznetsov, J. Clairambault, V. Volpert
Summary: The authors express gratitude towards the commentators for their interesting ideas and acknowledge the points raised that were not covered in their review. They agree with the comments and will address some of them in the following discussion.
PHYSICS OF LIFE REVIEWS
(2022)
Article
Mathematics, Applied
Odelaisy Leon-Triana, Soukaina Sabir, Gabriel F. Calvo, Juan Belmonte-Beitia, Salvador Chulian, Alvaro Martinez-Rubio, Maria Rosa, Antonio Perez-Martinez, Manuel Ramirez-Orellana, Victor M. Perez-Garcia
Summary: Immunotherapies, particularly the use of CAR T cells to treat B-cell malignancies, have shown significant success in targeting cancer cells. A mathematical model describing the time response of leukaemias to CAR T cell injection accounts for various biological processes and predicts the dynamics of different compartments post-injection, emphasizing the potential role of competition between leukaemic and CAR T cells in cancer relapses.
COMMUNICATIONS IN NONLINEAR SCIENCE AND NUMERICAL SIMULATION
(2021)
Article
Multidisciplinary Sciences
Oscar Fajardo-Fontiveros, Ignasi Reichardt, Harry R. De Los Rios, Jordi Duch, Marta Sales-Pardo, Roger Guimera
Summary: Learning analytical models from noisy data is challenging and depends on the noise level. The authors analyze the transition of the model-learning problem from a low-noise phase to a phase where the noise is too high for the model to be learned. They also estimate upper bounds for the transition noise.
NATURE COMMUNICATIONS
(2023)
Article
Physics, Condensed Matter
Shivani Gohri, Jaya Madan, Rahul Pandey
Summary: This study improves the efficiency of SnS-based solar cells by implementing the glancing angle deposition approach and introducing a CZTSSe layer. The findings offer valuable insights for enhancing the design of SnS-based solar cells and making them more efficient.
SOLID STATE COMMUNICATIONS
(2024)
Article
Physics, Condensed Matter
Mahboubeh Yeganeh, Davoud Vahedi Fakhrabad
Summary: The lattice thermal conductivity of CdO monolayer was investigated, and it was found to be lower than that of bulk CdO due to the lower phonon lifetime and phonon group velocity. As a result, the monolayer exhibits higher thermoelectric efficiency compared to the bulk counterpart.
SOLID STATE COMMUNICATIONS
(2024)
Article
Physics, Condensed Matter
Shivam Srivastava, Prachi Singh, Anjani K. Pandey, Chandra K. Dixit
Summary: In this research paper, a novel equation of state (EOS) based on finite strain theories is proposed for predicting the thermo elastic properties of various materials. Extensive analysis and comparison with existing models and experimental data demonstrate the validity and effectiveness of the proposed EOS in capturing the unique thermodynamic behavior of nanomaterials, bulk metallic glasses, and superconductors. This research is of great importance in the fields of materials science, nanotechnology, and condensed matter physics.
SOLID STATE COMMUNICATIONS
(2024)
Article
Physics, Condensed Matter
Subrata Das, Sanjoy Kr Mahatha, Konstantin Glazyrin, R. Ganesan, Suja Elizabeth, Tirthankar Chakraborty
Summary: In this study, we investigated the structural evolution of Tb2Ti2O7 under external pressure and temperature, and confirmed the occurrence of an isostructural phase transition beyond 10 GPa pressure. This transition leads to changes in lattice parameters and mechanical properties, which can be understood in terms of localized rearrangement of atoms.
SOLID STATE COMMUNICATIONS
(2024)
Article
Physics, Condensed Matter
Hamze Mousavi
Summary: It has been found that undoped graphene sheet has zero states at the Fermi energy level, making it difficult for Cooper pairing to occur in the superconductive state. However, T-graphene, with physical properties similar to graphene, exhibits metallic behavior and has available electron states near the Fermi level. The gap equation for the s-wave superconductive state is derived based on the attractive Hubbard model and the Bogoliubov de Gennes equation for this two-dimensional metallic system. It is found that a nonzero critical temperature, τ, exists for different levels of electron-electron interaction, ǫ. τ has higher values when the system has electronic half band-filling, but decreases when the system does not have half band-filling. However, τ vanishes when ǫ becomes small enough near the band edges.
SOLID STATE COMMUNICATIONS
(2024)