Designing Robust Systems Using Bioinspired Product Architecture

This work analyzes the role of bioinspired product architecture in facilitating the development of robust engineering systems. Existing studies on bioinspired product architecture largely focus on inspiring biology-like function-sharing in engineering design. This work shows that the guidelines for bioinspired product architecture, originally developed for bioinspiration of function-sharing, may induce robustness to random failures in engineered systems. To quantify such an improvement, this study utilizes Functional Modeling to derive modular equivalents of biological systems. The application of the bioinspired product architecture guidelines is then modeled as a transition from the modular product architecture of the modular equivalents to the actual product architecture of the biological systems. The robustness of the systems to random failures is analyzed after the application of each guideline by modeling the systems as directed networks. A singular robustness metric is then introduced to quantify the degradation in the expected functionality of systems upon increasing severity of random disruptions. Our results show that a system with bioinspired product architecture exhibits a gradual degradation in expected functionality upon increasing the number of failed modules as compared to an equivalent system with a one-to-one mapping of functions to modules. The findings are validated by designing and analyzing a COVID-19 breathalyzer as a case study.

The divergence of alternative splicing between ohnologs in teleost fishes

Background Gene duplication and alternative splicing (AS) are two distinct mechanisms generating new materials for genetic innovations. The evolutionary link between gene duplication and AS is still controversial, due to utilizing duplicates from inconsistent ages of duplication events in earlier studies. With the aid of RNA-seq data, we explored evolutionary scenario of AS divergence between duplicates with ohnologs that resulted from the teleost genome duplication event in zebrafish, medaka, and stickleback. Results Ohnologs in zebrafish have fewer AS forms compared to their singleton orthologs, supporting the function-sharing model of AS divergence between duplicates. Ohnologs in stickleback have more AS forms compared to their singleton orthologs, which supports the accelerated model of AS divergence between duplicates. The evolution of AS in ohnologs in medaka supports a combined scenario of the function-sharing and the accelerated model of AS divergence between duplicates. We also found a small number of ohnolog pairs in each of the three teleosts showed significantly asymmetric AS divergence. For example, the well-known ovary-factor gene cyp19a1a has no AS form but its ohnolog cyp19a1b has multiple AS forms in medaka, suggesting that functional divergence between duplicates might have result from AS divergence. Conclusions We found that a combined scenario of function-sharing and accelerated models for AS evolution in ohnologs in teleosts and rule out the independent model that assumes a lack of correlation between gene duplication and AS. Our study thus provided insights into the link between gene duplication and AS in general and ohnolog divergence in teleosts from AS perspective in particular.

Entire functions that share a small function with their linear difference polynomial

<abstract><p>In this paper, we investigate the uniqueness of an entire function sharing a small function with its linear difference polynomial. Our results improve some results due to Li and Yi ^{[<xref ref-type="bibr" rid="b11">11</xref>]}, Zhang, Chen and Huang ^{[<xref ref-type="bibr" rid="b17">17</xref>]}, Zhang, Kang and Liao ^{[<xref ref-type="bibr" rid="b18">18</xref>,<xref ref-type="bibr" rid="b19">19</xref>]} etc.</p></abstract>

A product architecture-based tool for bioinspired function-sharing

In this work, we show that bioinspired function-sharing can be effectively applied in engineering design by abstracting and emulating the product architecture of biological systems that exhibit function-sharing. Systems that leverage function-sharing enable multiple functions to be performed by a single structure. Billions of years of evolution has led to the development of function-sharing adaptations in biological systems. Currently, engineers leverage biological function-sharing by imitating serendipitously encountered biological structures. As a result, utilizing bioinspired function-sharing remains limited to some specific engineering problems. To overcome this limitation, we propose the Function-Behavior-Structure tree as a tool to simultaneously abstract both biological adaptations and the product architecture of biological systems. The tool uses information from an existing bioinspired design abstraction tool and an existing product architecture representation tool. A case study demonstrates the tool's ability to abstract the product architectural characteristics of function-sharing biological systems. The abstracted product architectural characteristics are then shown to facilitate problem-driven bioinspiration of function-sharing. The availability of a problem-driven approach may reduce the need to imitate biological structures to leverage biological function-sharing in engineering design. This work is a step forward in analyzing biological product architectures to inspire engineering design.

Fostering Function-Sharing Using Bioinspired Product Architecture

This work deduces principles of bioinspired product architecture to effectively leverage biological function-sharing in engineering design. Function-sharing enables a single structure to perform multiple functions and can improve the performance characteristics of a system. The process of evolution via natural selection has led to the emergence of function-sharing adaptations in biological systems. However, the current practice of bioinspired function-sharing is largely limited to the solution-driven imitation of biological structures. This work aims to overcome such limitations by performing a function-based analysis of biological product architectures. First, a phylogenetic approach is used to select generalized case studies from the animal kingdom. Next, the product architectures of the selected case studies are then modeled using function modeling and analyzed by clustering the identified functions into modules. A function-based categorization of the sampled biological modules reveals the presence of four types of modules in the biological case studies. Analyzing the function-sharing scenarios associated with each type of biological module enables us to deduce four guidelines for bioinspired development and arrangement of function-sharing modules. Finally, a demonstration study applies the guidelines to the design of an inlet–outlet port for a washer–dryer system. The deduced guidelines can enable engineers to identify function-sharing scenarios in the early stages of product design and reduce the need to imitate biological structures for function-sharing.

Fostering Function-Sharing Using Bioinspired Product Architecture

In this work, we deduce principles of bioinspired product architectures to leverage biological function-sharing in engineering design. Function-sharing allows multiple functions to be performed by a single structure and can lead to improvements in cost, weight and other performance characteristics. Billions of years of evolution has led to the emergence of function-sharing adaptations in biological systems. However, the current practice of bioinspired function-sharing is largely limited to the solution-driven mimicry of biological structures. In order to effectively leverage biological function-sharing in engineering design, we model and analyze the product architectures of five generalized case studies from the animal kingdom. Further, we create a categorization framework to explore patterns in the function-sharing scenarios associated with biological product architectures. Our results indicate the existence of four types of modules in the biological systems from the animal kingdom. We use the classification framework to deduce four guidelines for the bioinspiration of product architectures. The deduced guidelines can allow engineers to identify and implement novel function-sharing scenarios in early stages of product design. The application of the guidelines has been demonstrated by using a case study.