Article
Mathematics, Applied
Nana Tao, Chunxiao Ding
Summary: This paper studies the global attractivity of uncertain differential systems and presents several concepts. It provides sufficient conditions for the global attractivity of linear uncertain differential systems and studies the attractivity of solutions and a-path. An interest rate model with uncertainty is also shown as an application of attractivity.
Article
Automation & Control Systems
Yu Kawano
Summary: This article aims to develop computationally tractable methods for nonlinear model/controller reduction. It studies the incremental properties in the GD balancing framework and proposes GD LQG balancing and GD H-infinity balancing as controller reduction methods for nonlinear systems.
IEEE TRANSACTIONS ON AUTOMATIC CONTROL
(2022)
Article
Physics, Multidisciplinary
Maximilian Gelbrecht, Niklas Boers, Juergen Kurths
Summary: By augmenting differential equations with artificial neural networks, it is possible to predict complex systems even with short and incomplete datasets. This approach is effective for high-dimensional chaotic systems and can forecast a horizon significantly longer than the training data length.
NEW JOURNAL OF PHYSICS
(2021)
Article
Computer Science, Artificial Intelligence
Ismail M. Ali, Sumana Biswas, Hasan H. Turan, Ripon K. Chakrabortty, Sondoss Elsawah, Michael J. Ryan
Summary: This study proposes an approach to reduce the complexity of a production system by reducing the number of separate components in different production processes. The approach integrates the Median-Joining Phylogenetic Networks classification tool and differential evolution algorithm to save purchasing costs and improve the effectiveness of the layout. The experimental results show significant cost savings and improved performance compared to other models.
APPLIED SOFT COMPUTING
(2023)
Article
Mathematics, Applied
M. W. F. M. Bannenberg, A. Ciccazzo, M. Guenther
Summary: This paper presents a twofold approach to reduce the simulation costs of integrated circuits, by combining maximum entropy snapshot sampling method and nonlinear model order reduction technique with multirate time integration. Numerical verification confirms the convergence of this combined method, showing a reduction in computational effort without significant loss of accuracy.
APPLIED NUMERICAL MATHEMATICS
(2021)
Article
Multidisciplinary Sciences
Ines Ait-Belkacem, Celia Cartagena Garcia, Ewa Millet-Wallisky, Nicolas Izquierdo, Marie Loosveld, Isabelle Arnoux, Pierre-Emmanuel Morange, Franck Galland, Nathalie Lambert, Fabrice Malergue, Jean-Marc Busnel
Summary: A study found that pediatric COVID-19 patients tend to develop a milder disease compared to adults. Researchers used flow cytometry and an in vitro whole blood model to investigate immune differences between young and aged individuals. The study revealed that adults have less efficient immune systems and are more prone to inflammation compared to children. The spike protein of SARS-CoV-2 induced different immune responses in adults and children, which may contribute to the age bias and help predict disease severity.
SCIENTIFIC REPORTS
(2022)
Article
Computer Science, Interdisciplinary Applications
Z. Y. Chen, Ruei-Yuan Wang, Rong Jiang, Timothy Chen
Summary: This study proposes a new gray prediction criterion based on the Neural Ordinary Differential Equation, which allows the forecasting approximation to be learned through a training process. It can be applied to different data specimens and achieves better predictive efficiency with the use of the Runge-Kutta method.
ADVANCES IN ENGINEERING SOFTWARE
(2022)
Article
Chemistry, Physical
Mingyu You, Lei Zhang, Tobias A. Gmuer, Kaihuan Zhang, Stefan Zuercher, Wen Li, Guangyin Yuan, Nicholas D. Spencer, Jia Pei
Summary: The article introduces a surface modification method for synthetic pure hydroxyapatite (HA) material, which can provide antimicrobial properties and cytocompatibility. By synthesizing polyethylene glycol graft copolymers, a stable self-assembly layer was successfully formed on the surface of hydroxyapatite, effectively inhibiting non-specific protein adsorption, promoting osteoblast attachment, and preventing bacterial adhesion.
APPLIED SURFACE SCIENCE
(2022)
Article
Engineering, Mechanical
Gowtham Sivakumar, Jocelyn Jackson, Halil Ceylan, Sriram Sundararajan
Summary: The study aims to create patterned surfaces with differential stiffness to achieve an optimal balance between low ice adhesion and favorable wear resistance. Results showed that patterned surfaces exhibited reduced ice adhesion compared to plain aluminum surface, and had higher wear resistance than plain polyurethane surface. Finite element modeling was used to understand stress states and wear behavior of the patterned surfaces. This surface engineering approach holds promise for durable icephobic surfaces under contact conditions.
Article
Multidisciplinary Sciences
Carly Kempster, George Butler, Elina Kuznecova, Kirk A. Taylor, Neline Kriek, Gemma Little, Marcin A. Sowa, Tanya Sage, Louise J. Johnson, Jonathan M. Gibbins, Alice Y. Pollitt
Summary: This study utilized a convolutional neural network (CNN) to automatically analyze platelet spreading assays captured by differential interference contrast (DIC) microscopy. Compared to manual analysis, the CNN provided more accurate evaluations of platelet morphology, minimizing biases and variations associated with manual annotation.
SCIENTIFIC REPORTS
(2022)
Article
Multidisciplinary Sciences
Mohsin Amin, Andrea Preuss, Ted Deisenroth, Christopher M. Liauw, Joanna Verran, Kathryn A. Whitehead
Summary: The study investigated the binding of particles and spores to surfaces using atomic force microscopy and found that polystyrene spheres demonstrated more consistent attachment strength compared to glass spheres. The attachment of polystyrene spheres was influenced by the mobility of co-polymer surfaces, while surface wettability did not affect the attachment force of either polystyrene or glass spheres. The findings suggest that non-biological systems can provide insights into understanding the fundamental principles of complex biological processes.
Article
Physics, Fluids & Plasmas
G. Palacios, L. A. P. Santos, M. A. F. Gomes
Summary: This paper investigates the transport properties (percolation and conductivity) of a two-dimensional structure formed by depositing dimers on a one-dimensional substrate allowing multilayer deposition. The focus is on studying the variations of these properties with the height of the multilayer. The critical parameters of the percolation transition are calculated using finite-size scaling analysis, obtaining scaling laws for the probability of percolation and the conductivity of the system. The electrical conductivity of the multilayer is calculated using the Frank-Lobb algorithm.
Article
Biology
Titas Sengupta, Noelle L. Koonce, Nabor Vazquez-Martinez, Mark W. Moyle, Leighton H. Duncan, Sarah E. Emerson, Xiaofei Han, Lin Shao, Yicong Wu, Anthony Santella, Li Fan, Zhirong Bao, William A. Mohler, Hari Shroff, Daniel A. Colon-Ramos
Summary: In the development of C. elegans brain neuropil, differential adhesion mechanisms controlled by IgCAM SYG-1 and SYG-2 play a crucial role in precise placement of single neurites onto specific layers. Neuronal sorting to layers occurs through retrograde zippering between neurite shafts, rather than outgrowth from the neurite tip. This study suggests that differential adhesion governs neurite placement and synaptic specificity in developing neuropil bundles.
Review
Materials Science, Multidisciplinary
Hengshen Qin, Chuang Zhang, Wenjun Tan, Lianchao Yang, Ruiqian Wang, Yiwei Zhang, Feifei Wang, Lianqing Liu
Summary: This review summarizes the types and mechanisms of adhesion behavior performed by creatures in nature, as well as their application in the design of bionic adhesion systems. It also discusses the development of artificial adhesives based on chemical bonding, fiber arrays, and suckers' mechanisms, and provides an overview of the current limitations and future trends.
ADVANCED MATERIALS TECHNOLOGIES
(2023)
Article
Engineering, Aerospace
Marc Budinger, Valerie Pommier-Budinger, Aurelien Reysset, Valerian Palanque
Summary: This paper focuses on resonant ice protection systems and proposes key performance indicators to analyze the performances of such systems with respect to levels of energy, force, and power required for de-icing. The proposed indicators provide guidance on the use of flexural and extensional modes in resonant ice protection systems and on the frequency range to favor when looking at fractures initiation and propagation. Calculations based on the key performance indicators show a potential power reduction by 10 with resonant electromechanical de-icing systems compared to electrothermal systems.