Academic literature on the topic 'Biological engineering design'
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Journal articles on the topic "Biological engineering design"
Vattam, Swaroop S., Michael E. Helms, and Ashok K. Goel. "A content account of creative analogies in biologically inspired design." Artificial Intelligence for Engineering Design, Analysis and Manufacturing 24, no. 4 (October 25, 2010): 467–81. http://dx.doi.org/10.1017/s089006041000034x.
Full textNagel, Jacquelyn K. S., Robert L. Nagel, Robert B. Stone, and Daniel A. McAdams. "Function-based, biologically inspired concept generation." Artificial Intelligence for Engineering Design, Analysis and Manufacturing 24, no. 4 (October 25, 2010): 521–35. http://dx.doi.org/10.1017/s0890060410000375.
Full textNagel, Jacquelyn K. S., and Robert B. Stone. "A computational approach to biologically inspired design." Artificial Intelligence for Engineering Design, Analysis and Manufacturing 26, no. 2 (April 20, 2012): 161–76. http://dx.doi.org/10.1017/s0890060412000054.
Full textGill, Ryan T., Andrea L. Halweg-Edwards, Aaron Clauset, and Sam F. Way. "Synthesis aided design: The biological design-build-test engineering paradigm?" Biotechnology and Bioengineering 113, no. 1 (November 17, 2015): 7–10. http://dx.doi.org/10.1002/bit.25857.
Full textOwoseni, T. A., S. G. Olukole, A. I. Gadu, I. A. Malik, and W. O. Soboyejo. "Bioinspired Design." Advanced Materials Research 1132 (December 2015): 252–66. http://dx.doi.org/10.4028/www.scientific.net/amr.1132.252.
Full textPunzo, Giuliano, and Euan W. McGookin. "Engineering the locusts: Hind leg modelling towards the design of a bio-inspired space hopper." Proceedings of the Institution of Mechanical Engineers, Part K: Journal of Multi-body Dynamics 230, no. 4 (August 3, 2016): 455–68. http://dx.doi.org/10.1177/1464419315624852.
Full textGriffin, P., and G. E. Findlay. "Process and engineering improvements to rotating biological contactor design." Water Science and Technology 41, no. 1 (January 1, 2000): 137–44. http://dx.doi.org/10.2166/wst.2000.0022.
Full textShu, L. H. "A natural-language approach to biomimetic design." Artificial Intelligence for Engineering Design, Analysis and Manufacturing 24, no. 4 (October 25, 2010): 507–19. http://dx.doi.org/10.1017/s0890060410000363.
Full textJeronimidis, G., and A. G. Atkins. "Mechanics of Biological Materials and Structures: Nature's Lessons for the Engineer." Proceedings of the Institution of Mechanical Engineers, Part C: Journal of Mechanical Engineering Science 209, no. 4 (July 1995): 221–35. http://dx.doi.org/10.1243/pime_proc_1995_209_149_02.
Full textHe, Ya Yin. "Application Research of Reverse Engineering in the Bionic Structure Design." Advanced Materials Research 460 (February 2012): 82–85. http://dx.doi.org/10.4028/www.scientific.net/amr.460.82.
Full textDissertations / Theses on the topic "Biological engineering design"
De, Picciotto Seymour. "Protein engineering design principles for the development of biosensors." Thesis, Massachusetts Institute of Technology, 2015. http://hdl.handle.net/1721.1/99053.
Full textCataloged from PDF version of thesis.
Includes bibliographical references.
Investigating protein location and concentration is critical to understanding function. Reagentless biosensors, in which a reporting fluorophore is conjugated to a binding scaffold, can detect analytes of interest with high temporal and spatial resolution. However, because these biosensors require laborious empirical screening to develop, their adoption has been limited. Hence, we establish design principles that will facilitate development. In this thesis, we first develop a kinetic model for the dynamic performance of a reagentless biosensor. Using a sinusoidal signal for ligand concentration, our findings suggest that it is optimal to use a binding moiety whose equilibrium dissociation constant matches that of the average predicted input signal, while maximizing both the association rate constant and the dissociation rate constant at the necessary ratio to create the desired equilibrium constant. Although practical limitations constrain the attainment of these objectives, the derivation of these design principles provides guidance for improved reagentless biosensor performance and metrics for quality standards in the development of biosensors. Following these guidelines, we use the human tenth type III fibronectin domain to engineer new binders against several ligands of the EGFR receptor. Using these binders and others, we design and characterize biosensors based on various target analytes, scaffolds and fluorophores. We observe that analytes can harbor specific binding pockets for the fluorophore, which sharply increase the fluorescence produced upon binding. Furthermore, we demonstrate that a fluorophore conjugated to locally rigid surfaces possesses lower background fluorescence. Based on these newly identified properties, we design biosensors that produce a 100-fold increase in fluorescence upon binding to analyte, about a 10-fold improvement over the previous best biosensor. In order to improve the methodology of reagentless biosensor design, we establish a method for site-specific labeling of proteins displayed on the surface of yeasts. This procedure allows for the screening of libraries of sensors for binding and fluorescence enhancement simultaneously. Finally, we explore an alternative sensor design, based on competitive inhibition of fluorescence quenching.
by Seymour de Picciotto.
Ph. D.
Norville, Julie Erin 1980. "Modular design of biological systems." Thesis, Massachusetts Institute of Technology, 2011. http://hdl.handle.net/1721.1/71484.
Full text"February 2012." Cataloged from PDF version of thesis.
Includes bibliographical references (p. [153]-191).
The focus of my research is the development of technology for building compound biological systems from simpler pieces. I designed BioScaffold parts, a family of variable regions that can be inserted into a DNA sequence so that at a later time another set of pieces can be substituted for each variable. The variable regions are selective so that a particular piece can be targeted to each region. I have used this technique to assemble protein domains, tune the expression levels of proteins and remove BioBrick scars. BioScaffold parts can be used in combination with BioBrick Standard Biological Parts to create and store devices with tunable components. I developed simplified methods to produce and examine SbpA, a protein that can either self associate into two-dimensional crystals or bring together fused enzymes when divalent cations such as calcium are added to the protein monomers. My fast and easy purification protocol allows SbpA to be produced under non-denaturing conditions as well as examination of the native state of the protein monomers before crystallization. The absence of a white precipitate when calcium is added to SbpA monomers concentrated to 1 mg/ml provides a simple visual screen that indicates that the protein has failed to crystallize. I also developed a protocol to embed SbpA crystallized on lipid monolayers in trehalose for electron microscopy, allowing creation of a 7 Å resolution map for SbpA. I created a cells-on-paper system to compose, isolate, and subsequently destack and examine different cell types grown in sheets of ordinary filter paper and maintained in a humidified incubation chamber. I found that E coli diluted in LB broth and then applied to filter paper grew at rates similar to the same culture spotted on agar plates. Track etch membranes could be used to isolate different cell types, while still allowing chemical communication between the layers. Use of plasmids that contain fluorescent proteins allowed the behaviour of cells to be tracked using a scanner after destacking of the layers. The cells-on-paper system can be used both to test and construct modular synthetic systems composed of bacterial ensembles and to create and examine the behavior of compositions of cell types typically found in biofilms.
by Julie Erin Norville.
Ph.D.
Apgar, Joshua Farley. "Experiment design for systems biology." Thesis, Massachusetts Institute of Technology, 2009. http://hdl.handle.net/1721.1/61217.
Full textCataloged from PDF version of thesis.
Includes bibliographical references (p. 219-233).
Mechanism-based chemical kinetic models are increasingly being used to describe biological signaling. Such models serve to encapsulate current understanding of pathways and to enable insight into complex biological processes. Despite the growing interest in these models, a number of challenges frustrate the construction of high-quality models. First, the chemical reactions that control biochemical processes are only partially known, and multiple, mechanistically distinct models often fit all of the available data and known chemistry. We address this by providing methods for designing dynamic stimuli that can distinguish among models with different reaction mechanisms in stimulus-response experiments. We evaluated our method on models of antibody-ligand binding, mitogen-activated protein kinase phosphorylation and de-phosphorylation, and larger models of the epidermal growth factor receptor (EGFR) pathway. Inspired by these computational results, we tested the idea that pulses of EGF could help elucidate the relative contribution of different feedback loops within the EGFR network. These experimental results suggest that models from the literature do not accurately represent the relative strength of the various feedback loops in this pathway. In particular, we observed that the endocytosis and feedback loop was less strong than predicted by models, and that other feedback mechanisms were likely necessary to deactivate ERK after EGF stimulation. Second, chemical kinetic models contain many unknown parameters, at least some of which must be estimated by fitting to time-course data. We examined this question in the context of a pathway model of EGF and neuronal growth factor (NGF) signaling. Computationally, we generated a palette of experimental perturbation data that included different doses of EGF and NGF as well as single and multiple gene knockdowns and overexpressions. While no single experiment could accurately estimate all of the parameters, we identified a set of five complementary experiments that could. These results suggest that there is reason to be optimistic about the prospects for parameter estimation in even large models. Third, there is no standard formulation for chemical kinetic models of biological signaling. We propose a general and concise formulation of mass action kinetics based on sparse matrices and Kronecker products. This formulation allows any mass action model and its partial derivatives to be represented by simple matrix equations, which enabled straightforward application of several numerical methods. We show that models that use other rate laws such as MichaelisMenten can be converted to our formulation. We demonstrate this by converting a model of Escherichia coli central carbon metabolism to use only mass action kinetics. The dynamics of the new model are similar to the original model. However, we argue that because our model is based on fewer approximations it has the potential to be more accurate over a wider range of conditions. Taken together, the work presented here demonstrates that experimental design methodology can be successfully used to improve the quality of mechanism-based chemical kinetic models.
by Joshua Farley Apgar.
Ph.D.
Shetty, Reshma P. (Reshma Padmini). "Applying engineering principles to the design and construction of transcriptional devices." Thesis, Massachusetts Institute of Technology, 2008. http://hdl.handle.net/1721.1/44921.
Full textThis electronic version was submitted by the student author. The certified thesis is available in the Institute Archives and Special Collections.
Includes bibliographical references (leaves 180-203).
The aim of this thesis is to consider how fundamental engineering principles might best be applied to the design and construction of engineered biological systems. I begin by applying these principles to a key application area of synthetic biology: metabolic engineering. Abstraction is used to compile a desired system function, reprogramming bacterial odor, to devices with human-defined function, then to biological parts, and finally to genetic sequences. Standardization is used to make the process of engineering a multi-component system easier. I then focus on devices that implement digital information processing through transcriptional regulation in Escherichia coli. For simplicity, I limit the discussion to a particular type of device, a transcriptional inverter, although much of the work applies to other devices as well. First, I discuss basic issues in transcriptional inverter design. Identification of key metrics for evaluating the quality of a static device behavior allows informed device design that optimizes digital performance. Second, I address the issue of ensuring that transcriptional devices work in combination by presenting a framework for developing standards for functional composition. The framework relies on additional measures of device performance, such as error rate and the operational demand the device places on the cellular chassis, in order to proscribe standard device signal thresholds. Third, I develop an experimental, proof-of-principle implementation of a transcriptional inverter based on a synthetic transcription factor derived from a zinc finger DNA binding domain and a leucine zipper dimerization domain. Zinc fingers and leucine zippers offer a potential scalable solution to the challenge of building libraries of transcription-based logic devices for arbitrary information processing in cells.
(cont.) Finally, I extend the principle of physical composition standards from parts and devices to the vectors that propagate those parts and devices. The new vectors support the assembly of biological systems. Taken together, the work helps to advance the transformation of biological system design from an ad hoc, artisanal craft to a more predictable, engineering discipline.
by Reshma P. Shetty.
Ph.D.
Edward, Drabold T. "BIOLOGICAL DESIGN OF CONTINUOUS MICROALGAE SYSTEMS: A REVIEW." Ohio University Honors Tutorial College / OhioLINK, 2005. http://rave.ohiolink.edu/etdc/view?acc_num=ouhonors161891425130329.
Full textDrabold, Edward T. "BIOLOGICAL DESIGN OF CONTINUOUS MICROALGAE SYSTEMS: A REVIEW." Ohio University Honors Tutorial College / OhioLINK, 2021. http://rave.ohiolink.edu/etdc/view?acc_num=ouhonors161891425130329.
Full textNielsen, Alec A. K. "Biomolecular and computational frameworks for genetic circuit design." Thesis, Massachusetts Institute of Technology, 2017. http://hdl.handle.net/1721.1/109665.
Full textPage 322 blank. Cataloged from PDF version of thesis.
Includes bibliographical references (pages 295-321).
Living cells naturally use gene regulatory networks termed "genetic circuits" to exhibit complex behaviors such as signal processing, decision-making, and spatial organization. The ability to rationally engineer genetic circuits has applications in several biotechnology areas including therapeutics, agriculture, and materials. However, genetic circuit construction has traditionally been time- and labor-intensive; tuning regulator expression often requires manual trial-and-error, and the results frequently function incorrectly. To improve the reliability and pace of genetic circuit engineering, we have developed biomolecular and computational frameworks for designing genetic circuits. A scalable biomolecular platform is a prerequisite for genetic circuits design. In this thesis, we explore TetR-family repressors and the CRISPRi system as candidates. First, we applied 'part mining' to build a library of TetR-family repressors gleaned from prokaryotic genomes. A subset were used to build synthetic 'NOT gates' for use in genetic circuits. Second, we tested catalytically-inactive dCas9, which employs small guide RNAs (sgRNAs) to repress genetic loci via the programmability of RNA:DNA base pairing. To this end, we use dCas9 and synthetic sgRNAs to build transcriptional logic gates with high on-target repression and negligible cross-talk, and connected them to perform computation in living cells. We further demonstrate that a synthetic circuit can directly interface a native E. coli regulatory network. To accelerate the design of circuits that employ these biomolecular platforms, we created a software design tool called Cello, in which a user writes a high-level functional specification that is automatically compiled to a DNA sequence. Algorithms first construct a circuit diagram, then assign and connect genetic "gates", and simulate performance. Reliable circuit design requires the insulation of gates from genetic context, so that they function identically when used in different circuits. We used Cello to design the largest library of genetic circuits to date, where each DNA sequence was built as predicted by the software with no additional tuning. Across all circuits 92% of the output states functioned as predicted. Design automation simplifies the incorporation of genetic circuits into biotechnology projects that require decisionmaking, control, sensing, or spatial organization.
by Alec A.K. Nielsen.
Ph. D.
Hagen, David Robert. "Parameter and topology uncertainty for optimal experimental design." Thesis, Massachusetts Institute of Technology, 2014. http://hdl.handle.net/1721.1/90148.
Full textCataloged from PDF version of thesis.
Includes bibliographical references (pages 157-169).
A major effort of systems biology is the building of accurate and detailed models of biological systems. Because biological models are large, complex, and highly nonlinear, building accurate models requires large quantities of data and algorithms appropriate to translate this data into a model of the underlying system. This thesis describes the development and application of several algorithms for simulation, quantification of uncertainty, and optimal experimental design for reducing uncertainty. We applied a previously described algorithm for choosing optimal experiments for reducing parameter uncertainty as estimated by the Fisher information matrix. We found, using a computational scenario where the true parameters were unknown, that the parameters of the model could be recovered from noisy data in a small number of experiments if the experiments were chosen well. We developed a method for quickly and accurately approximating the probability distribution over a set of topologies given a particular data set. The method was based on a linearization applied at the maximum a posteriori parameters. This method was found to be about as fast as existing heuristics but much closer to the true probability distribution as computed by an expensive Monte Carlo routine. We developed a method for optimal experimental design to reduce topology uncertainty based on the linear method for topology probability. This method was a Monte Carlo method that used the linear method to quickly evaluate the topology uncertainty that would result from possible data sets of each candidate experiment. We applied the method to a model of ErbB signaling. Finally, we developed a method for reducing the size of models defined as rule-based models. Unlike existing methods, this method handles compartments of models and allows for cycles between monomers. The methods developed here generally improve the detail at which models can be built, as well as quantify how well they have been built and suggest experiments to build them even better.
by David Robert Hagen.
Ph. D.
Wurtzler, Elizabeth M. "Selective Biological Photodisinfection." University of Cincinnati / OhioLINK, 2016. http://rave.ohiolink.edu/etdc/view?acc_num=ucin1457426247.
Full textBuchanan, Ian 1953. "Deterministic and risk-based design of rotating biological contactors." Thesis, McGill University, 1992. http://digitool.Library.McGill.CA:80/R/?func=dbin-jump-full&object_id=56785.
Full textTotal active disc area and the number of RBC stages are optimized for the deterministic case, and are then incorporated into a risk-based method of assigning per-stage active disc areas. The risk of the final stage SBOD exceeding a fixed effluent standard is evaluated by taking into account the variable nature of the influent flowrate and SBOD concentration. Bivariate normal, lognormal and shifted lognormal distributions are considered as models for the input random variables. The effluent SBOD probability density function is obtained according to the method of transformation of random variables. Illustrative examples are presented.
Books on the topic "Biological engineering design"
Jen, Erica. Robust design: Repertoire of biological, ecological, and engineering case studies. Edited by Jen Erica. New York: Oxford University Press, 2005.
Find full textRobust design: Repertoire of biological, ecological, and engineering case studies. New York: Oxford University Press, 2005.
Find full textJan Roelof van der Meer. Bacterial sensors: Synthetic design and application principles. San Rafael, Calif. (1537 Fourth Street, San Rafael, CA 94901 USA): Morgan & Claypool, 2011.
Find full textservice), SpringerLink (Online, ed. Biological Functions for Information and Communication Technologies: Theory and Inspiration. Berlin, Heidelberg: Springer-Verlag Berlin Heidelberg, 2011.
Find full textSharma, Kal Renganathan. Transport phenomena in biomedical engineering: Artificial organ design and development and tissue engineering. New York: McGraw-Hill, 2010.
Find full textSharma, Kal Renganathan. Transport phenomena in biomedical engineering: Artificial organ design and development, and tissue engineering. New York: McGraw-Hill, 2010.
Find full textM, Silva Lucas F., Altenbach Holm 1956-, and SpringerLink (Online service), eds. Analysis and Design of Biological Materials and Structures. Berlin, Heidelberg: Springer Berlin Heidelberg, 2012.
Find full textRocha, Luiz A. O. Constructal Law and the Unifying Principle of Design. New York, NY: Springer New York, 2013.
Find full textA, Sousa Leonel, ed. Bioelectronic vision: Retina models, evaluation metrics, and system design. Hackensack, NJ: World Scientific, 2009.
Find full textDickson, Eva F. Gudgin. Personal protective equipment for chemical, biological, and radiological hazards: Design, evaluation, and selection. Hoboken, N.J: Wiley, 2012.
Find full textBook chapters on the topic "Biological engineering design"
Basham, Eric, Zhi Yang, Natalia Tchemodanov, and Wentai Liu. "Magnetic Stimulation of Neural Tissue: Techniques and System Design." In Biological and Medical Physics, Biomedical Engineering, 293–351. New York, NY: Springer US, 2009. http://dx.doi.org/10.1007/978-0-387-77261-5_10.
Full textBuchanan, Ian, and Roland Leduc. "Probabilistic Design of Multi-Stage Rotating Biological Contactors." In Stochastic and Statistical Methods in Hydrology and Environmental Engineering, 113–25. Dordrecht: Springer Netherlands, 1994. http://dx.doi.org/10.1007/978-94-017-3081-5_9.
Full textAbdel-Aal, H. A., and M. El Mansori. "Reptilian Skin as a Biomimetic Analogue for the Design of Deterministic Tribosurfaces." In Biological and Medical Physics, Biomedical Engineering, 51–79. Berlin, Heidelberg: Springer Berlin Heidelberg, 2011. http://dx.doi.org/10.1007/978-3-642-11934-7_4.
Full textSong, Liang, Xitai Wang, Siyuan Gong, Zengguang Shi, and Lingling Chen. "Design of Active Artificial Knee Joint." In 7th Asian-Pacific Conference on Medical and Biological Engineering, 155–58. Berlin, Heidelberg: Springer Berlin Heidelberg, 2008. http://dx.doi.org/10.1007/978-3-540-79039-6_40.
Full textHellmich, Christian, Andreas Fritsch, and Luc Dormieux. "Multiscale Homogenization Theory: An Analysis Tool for Revealing Mechanical Design Principles in Bone and Bone Replacement Materials." In Biological and Medical Physics, Biomedical Engineering, 81–103. Berlin, Heidelberg: Springer Berlin Heidelberg, 2011. http://dx.doi.org/10.1007/978-3-642-11934-7_5.
Full textBryant, J. "Introduction: Part I–Design and information in biological systems." In WIT Transactions on State-of-the-art in Science and Engineering, 1–11. Southampton UK: WIT Press, 2006. http://dx.doi.org/10.2495/978-1-85312-853-0/01.
Full textFeng, Fan, and Jiansheng Xu. "Design and Research of Swinging Magnetic Field System Suitable for Biological Experiment." In Lecture Notes in Electrical Engineering, 1142–49. Singapore: Springer Nature Singapore, 2022. http://dx.doi.org/10.1007/978-981-19-1870-4_119.
Full textMarinou, Mary, and Nicolas Pallikarakis. "Mobile Health Applications: Design, Regulation and Assessment." In XIV Mediterranean Conference on Medical and Biological Engineering and Computing 2016, 979–82. Cham: Springer International Publishing, 2016. http://dx.doi.org/10.1007/978-3-319-32703-7_191.
Full textHedjazi, Naceur, Abderraouf Benali, Mourad Bouzit, and Zohir Dibi. "An Omnidirectional Platform Design: Application to Posture Analysis." In XIV Mediterranean Conference on Medical and Biological Engineering and Computing 2016, 602–7. Cham: Springer International Publishing, 2016. http://dx.doi.org/10.1007/978-3-319-32703-7_117.
Full textShi, Yejiao, Ran Lin, Honggang Cui, and Helena S. Azevedo. "Multifunctional Self-Assembling Peptide-Based Nanostructures for Targeted Intracellular Delivery: Design, Physicochemical Characterization, and Biological Assessment." In Biomaterials for Tissue Engineering, 11–26. New York, NY: Springer New York, 2018. http://dx.doi.org/10.1007/978-1-4939-7741-3_2.
Full textConference papers on the topic "Biological engineering design"
Nagel, Jacquelyn K. S., and Robert B. Stone. "A Systematic Approach to Biologically-Inspired Engineering Design." In ASME 2011 International Design Engineering Technical Conferences and Computers and Information in Engineering Conference. ASMEDC, 2011. http://dx.doi.org/10.1115/detc2011-47398.
Full textBradley P. Marks. "Teaching Engineering Design to Biological Engineering Freshmen." In 2001 Sacramento, CA July 29-August 1,2001. St. Joseph, MI: American Society of Agricultural and Biological Engineers, 2001. http://dx.doi.org/10.13031/2013.6280.
Full textSeipel, Justin. "Mechanistic Model-Based Method for Bio-Inspired Design and Education." In ASME 2011 International Mechanical Engineering Congress and Exposition. ASMEDC, 2011. http://dx.doi.org/10.1115/imece2011-64595.
Full textNagel, Jacquelyn K. S., Robert B. Stone, and Daniel A. McAdams. "Exploring the Use of Category and Scale to Scope a Biological Functional Model." In ASME 2010 International Design Engineering Technical Conferences and Computers and Information in Engineering Conference. ASMEDC, 2010. http://dx.doi.org/10.1115/detc2010-28873.
Full textHelms, Michael, Swaroop Vattam, and Ashok Goel. "The Effect of Functional Modeling on Understanding Complex Biological Systems." In ASME 2010 International Design Engineering Technical Conferences and Computers and Information in Engineering Conference. ASMEDC, 2010. http://dx.doi.org/10.1115/detc2010-28939.
Full textNagel, Jacquelyn K. S., Robert B. Stone, and Daniel A. McAdams. "An Engineering-to-Biology Thesaurus for Engineering Design." In ASME 2010 International Design Engineering Technical Conferences and Computers and Information in Engineering Conference. ASMEDC, 2010. http://dx.doi.org/10.1115/detc2010-28233.
Full textMcPherson, Jeffrey D., Ian R. Grosse, Sundar Krishnamurty, Jack C. Wileden, Elizabeth R. Dumont, and Michael A. Berthaume. "Integrating Biological and Engineering Ontologies." In ASME 2013 International Design Engineering Technical Conferences and Computers and Information in Engineering Conference. American Society of Mechanical Engineers, 2013. http://dx.doi.org/10.1115/detc2013-13527.
Full textCheong, Hyunmin, L. H. Shu, Robert B. Stone, and Daniel A. McAdams. "Translating Terms of the Functional Basis Into Biologically Meaningful Keywords." In ASME 2008 International Design Engineering Technical Conferences and Computers and Information in Engineering Conference. ASMEDC, 2008. http://dx.doi.org/10.1115/detc2008-49363.
Full textWilson, Jamal O., and David Rosen. "Systematic Reverse Engineering of Biological Systems." In ASME 2007 International Design Engineering Technical Conferences and Computers and Information in Engineering Conference. ASMEDC, 2007. http://dx.doi.org/10.1115/detc2007-35395.
Full textVattam, Swaroop S., Michael Helms, and Ashok K. Goel. "Biologically Inspired Design: A Macrocognitive Account." In ASME 2010 International Design Engineering Technical Conferences and Computers and Information in Engineering Conference. ASMEDC, 2010. http://dx.doi.org/10.1115/detc2010-28567.
Full textReports on the topic "Biological engineering design"
Montemagno, C. D., and R. L. Irvine. Biological remediation of contaminated soils at Los Angeles Air Force Base: Facility design and engineering cost estimate. Office of Scientific and Technical Information (OSTI), August 1990. http://dx.doi.org/10.2172/6219602.
Full textShmulevich, Itzhak, Shrini Upadhyaya, Dror Rubinstein, Zvika Asaf, and Jeffrey P. Mitchell. Developing Simulation Tool for the Prediction of Cohesive Behavior Agricultural Materials Using Discrete Element Modeling. United States Department of Agriculture, October 2011. http://dx.doi.org/10.32747/2011.7697108.bard.
Full textMicrobiology in the 21st Century: Where Are We and Where Are We Going? American Society for Microbiology, 2004. http://dx.doi.org/10.1128/aamcol.5sept.2003.
Full text