The paper explores the potential of the biomorphic approach to context-based design with a focus on special-purpose mobility in the Arctic. The study seeks to contribute to the analytical and conceptual basis for developing the transport component of the Arctic life-support system, i.e., a set of objects and technologies, and knowledge and skills for handling them, allowing a person to survive and comfortably exist in severe environmental conditions. The central argument is that the system should incorporate structural components that possess not only technical but also artistic and emotional characteristics that align with the geographic (environmental and climatic), socio-cultural, and psychological peculiarities of use. This can be achieved by drawing inspiration from local nature. We probe the visual image of "soft military presence" using two case studies in different parts of the Russian Arctic: the Yamal and Chukchi peninsulas.
Download full-text PDF |
Source |
|---|---|
| http://www.ncbi.nlm.nih.gov/pmc/articles/PMC10452215 | PMC |
| http://dx.doi.org/10.3390/biomimetics8040360 | DOI Listing |
Publication Analysis
Top Keywords
Similar Publications
NIR-responsive nano-holed titanium alloy surfaces: a photothermally activated antimicrobial biointerface.
J Mater Chem B
September 2024
Department of Chemistry, Universidad Nacional del Sur, INQUISUR - CONICET, B8000CPB, Bahía Blanca, Argentina.
Among external stimuli-responsive therapy approaches, those using near infrared (NIR) light irradiation have attracted significant attention to treat bone-related diseases and bone tissue regeneration. Therefore, the development of metallic biomaterials sensitive to NIR stimuli is an important area of research in orthopaedics. In this study, we have generated prism-shaped silver nanoparticles (p-AgNPs) in a biomorphic nano-holed TiO coating on a Ti6Al4V alloy (a-Ti6Al4V).
View Article and Find Full Text PDFPredicting monoclonal antibody binding sequences from a sparse sampling of all possible sequences.
Commun Biol
August 2024
School of Molecular Sciences, Arizona State University, Tempe, AZ, USA.
Previous work has shown that binding of target proteins to a sparse, unbiased sample of all possible peptide sequences is sufficient to train a machine learning model that can then predict, with statistically high accuracy, target binding to any possible peptide sequence of similar length. Here, highly sequence-specific molecular recognition is explored by measuring binding of 8 monoclonal antibodies (mAbs) with specific linear cognate epitopes to an array containing 121,715 near-random sequences about 10 residues in length. Network models trained on resulting sequence-binding values are used to predict the binding of each mAb to its cognate sequence and to an in silico generated one million random sequences.
View Article and Find Full Text PDFTexture tomography, a versatile framework to study crystalline texture in 3D.
IUCrJ
September 2024
Aix Marseille Univ, CNRS, Centrale Med, Institut Fresnel, Marseille, France.
Crystallographic texture is a key organization feature of many technical and biological materials. In these materials, especially hierarchically structured ones, the preferential alignment of the nano constituents heavily influences the macroscopic behavior of the material. To study local crystallographic texture with both high spatial and angular resolution, we developed Texture Tomography (TexTOM).
View Article and Find Full Text PDFDiatom Cribellum-Inspired Hierarchical Metamaterials: Unifying Perfect Absorption Toward Subwavelength Color Printing.
Adv Mater
August 2024
Department of Mechanical Engineering, Boston University, Boston, MA, 02215, USA.
Diatom exoskeletons, known as frustules, exhibit a unique multilayer structure that has attracted considerable attention across interdisciplinary research fields as a source of biomorphic inspiration. These frustules possess a hierarchical porous structure, ranging from millimeter-scale foramen pores to nanometer-scale cribellum pores. In this study, this natural template for nanopattern design is leveraged to showcase metamaterials that integrates perfect absorption and subwavelength color printing.
View Article and Find Full Text PDFColorful image reconstruction from neuromorphic event cameras with biologically inspired deep color fusion neural networks.
Bioinspir Biomim
March 2024
The Neuro-Biomorphic Engineering Lab, Department of Mathematics and Computer Science, The Open University of Israel, Ra'anana, Israel.
Neuromorphic event-based cameras communicate transients in luminance instead of frames, providing visual information with a fine temporal resolution, high dynamic range and high signal-to-noise ratio. Enriching event data with color information allows for the reconstruction of colorful frame-like intensity maps, supporting improved performance and visually appealing results in various computer vision tasks. In this work, we simulated a biologically inspired color fusion system featuring a three-stage convolutional neural network for reconstructing color intensity maps from event data and sparse color cues.
View Article and Find Full Text PDFWant AI Summaries of new PubMed Abstracts delivered to your In-box?
Enter search terms and have AI summaries delivered each week - change queries or unsubscribe any time!