Biologically inspired design (BID) is a widespread and growing movement in modern design, pulled in part by the need for environmentally sustainable design and pushed partly by rapid advances in biology and the desire for creativity and innovation in design. Yet, our current understanding of cognition in BID is limited and at present there are few computational methods or tools available for supporting its practice. In this dissertation, I develop a cognitive model of BID, build computational methods and tools for supporting its practice, and describe results from deploying the methods and the tools in a Georgia Tech BID class. One key and novel finding in my cognitive study of BID is the surprisingly large degree to which biological analogues influence problem formulation and understanding in addition to generation of design solutions. I call the process by which a biological analogue influences the evolution of the problem formulation analogical problem evolution. I use the method of grounded theory to develop a knowledge schema called SR.BID (for structured representations for biologically inspired design) for representing design problem formulations. I show through case study analysis that SR.BID provides a useful analytic framework for understanding the two-way interaction between problems and solutions. I then develop two tools based on the SR.BID schema to scaffold the processes of problem formulation and analogue evaluation in BID. I deployed the two tools, the four-box method of problem specification and the T-chart method of analogical evaluation, in a Georgia Tech BID class. I show that with minimal training, the four-box method was used by students to complete design problem specifications in 2011 and 2012 with 75% of students achieving better than 80% accuracy. Finally I describe a web-based application for interactively supporting BID practice including problem formulation and analogue evaluation. Thus, my dissertation develops a cognitive model of analogical problem evolution in BID, a knowledge schema for representing problem formulations, a computational technique for evaluating biological analogues, and an interactive web-based tool for supporting BID practice. Through a better cognitive understanding of BID and computational methods and tools for supporting its practice, it also contributes to computational creativity.

Biologically inspired design is used as an approach for sustainable engineering. Taking a biologically inspired approach, one abstracts ideas and principles from nature, an inherently sustainable system, and uses them in engineering applications with the goal of producing environmentally superior designs. One such biological idea with potential environmental benefits for engineering is microscale and nanoscale surface roughness found on the Lotus plant and many other surfaces in nature. These surfaces repel water and aid in contaminant removal; this self-cleaning phenomenon is called the "Lotus Effect," in honor of the plant first observed to exhibit it. The structures responsible for the Lotus Effect inspired research and development of many technologies capable of creating hydrophobic, self-cleaning surfaces, and many potential self-cleaning surface applications exist beyond nature's intended application of cleaning. While statements have been made about the environmental benefits of using a self-cleaning surface, only limited scientific data exist. Artificial self-cleaning surfaces are successfully cleaned using fog or mist. This shows that such surfaces can be cleaned with less energy and water intensive methods than the more conventional methods used to clean regular surfaces, such as spray or solvent cleaning. This research investigates the potential environmental burden reductions associated with using these surfaces on products. A life cycle assessment is performed to determine the environmental burdens associated with manufacturing a self-cleaning surface, for three production methods: a chemical coating, a laser ablated steel template, and an anodized aluminum template. The environmental benefits and burdens are quantified and compared to those of more conventional cleaning methods. The results indicate that self-cleaning surfaces are not necessarily the environmentally superior choice.

The goal of this work was to evaluate of water quality in natural swimming pools in Borovany and Sezimovo Ústí, to compare the differences in the results of water analyses in proper swimming water body and regenerative part, as well as to compare of both these localities. Most of results were gathered during 2016 in Borovany and during 2017 in Sezimovo Usti. Transparency, color of water, temperature, conductivity, concentration of dissolved O2, concentrations of NH4-N, NO2-N, NO3-N, TN, PO4-P, TP, Cl, turbidity, fluorescence, chlorophyll concentration, alkalinity, zooplankton and phytoplankton composition and bacterial contamination were monitored. The results confirmed the possibility to achieve the good water quality even though the problem with phosphorus removing remains. The comparison of both site showed more efficient functioning of regenerative zone in Borovany natural swimming pool.

The human vision system is generally recognized as being superior to all known artificial vision systems. Visual attention, among many processes that are related to human vision, is responsible for identifying relevant regions in a scene for further processing. In most cases, analyzing an entire scene is unnecessary and inevitably time consuming. Hence considering visual attention might be advantageous. A subfield of computer vision where this particular functionality is computationally emulated has been shown to retain high potential in solving real world vision problems effectively. In this monograph, elements of visual attention are explored and algorithms are proposed that exploit such elements in order to enhance image understanding capabilities. Satellite images are given special attention due to their practical relevance, inherent complexity in terms of image contents, and their resolution. Processing such large-size images using visual attention can be very helpful since one can first identify relevant regions and deploy further detailed analysis in those regions only. Bottom-up features, which are directly derived from the scene contents, are at the core of visual attention and help identify salient image regions. In the literature, the use of intensity, orientation and color as dominant features to compute bottom-up attention is ubiquitous. The effects of incorporating an entropy feature on top of the above mentioned ones are also studied. This investigation demonstrates that such integration makes visual attention more sensitive to fine details and hence retains the potential to be exploited in a suitable context. One interesting application of bottom-up attention, which is also examined in this work, is that of image segmentation. Since low salient regions generally correspond to homogenously textured regions in the input image; a model can therefore be learned from a homogenous region and used to group similar textures existing in other image regions. Experimentation demonstrates that the proposed method produces realistic segmentation on satellite images. Top-down attention, on the other hand, is influenced by the observer’s current states such as knowledge, goal, and expectation. It can be exploited to locate target objects depending on various features, and increases search or recognition efficiency by concentrating on the relevant image regions only. This technique is very helpful in processing large images such as satellite images. A novel algorithm for computing top-down attention is proposed which is able to learn and quantify important bottom-up features from a set of training images and enhances such features in a test image in order to localize objects having similar features. An object recognition technique is then deployed that extracts potential target objects from the computed top-down attention map and attempts to recognize them. An object descriptor is formed based on physical appearance and uses both texture and shape information. This combination is shown to be especially useful in the object recognition phase. The proposed texture descriptor is based on Legendre moments computed on local binary patterns, while shape is described using Hu moment invariants. Several tools and techniques such as different types of moments of functions, and combinations of different measures have been applied for the purpose of experimentations. The developed algorithms are generalized, efficient and effective, and have the potential to be deployed for real world problems. A dedicated software testing platform has been designed to facilitate the manipulation of satellite images and support a modular and flexible implementation of computational methods, including various components of visual attention models.

O envenenamento ofídico é considerado uma condição tropical negligenciada pela OMS, e no Brasil, o gênero Bothrops está envolvido na maioria dos casos. Primeiramente, estudamos a atividade hidrolítica do veneno de B. jararaca sobre peptídeos biologicamente ativos que podem estar relacionadas com o envenenamento. A hidrólise dos peptídeos que foram substratos para as serinopeptidases não foi eficientemente bloqueada pelo soro antibotrópico produzido pelo Instituto Butantan e, portanto, as causas dessas falhas foram investigadas. Para isso, purificamos quatro serinopeptidases não bloqueadas pelo soro e, por estudos imunoquímicos, observamos que apesar deste não bloquear as atividades destas enzimas, o mesmo é capaz de reconhecê-las. Portanto, decidimos obter soros experimentais contra estas moléculas utilizando camundongos, a fim de compará-los com o soro comercial. Os soros experimentais contra as serinopeptidases mostraram capacidade de reconhecimento e alta afinidade contra elas, e mais importante, capacidade de neutralizar suas atividades in vitro. / Snakebite is considered a neglected tropical condition by WHO, and in Brazil, the Bothrops genus is involved in most of the cases. Initially, we have studied the B. jararaca venom activity over bioactive peptides which could be related with the envenomation. The hydrolysis of the peptides substrate for serinepeptidases were not efficiently blocked by the Butantan Institute bothropic antivenom, therefore, the causes of this flaw were investigated. Thereafter, we purified four serinepeptidases not blocked by the antivenom and, by immunochemistry analysis, we observed that although it could not neutralize the activity, it could well recognize these proteins. Thus, we decided to obtain experimental sera against these serinepeptidases in mice, in order to compare it with the commercial antivenom. The experimental sera against these enzymes demonstrated recognition capability and high affinity, and most important, the ability to neutralize their activity in vitro.

The master´s thesis is focused on the study of biologically active compounds of fennel. The theoretical part describes basic characteristics of fennel and its chemical composition, further specifies plant´s biological active substances and antioxidants, also describes extraction techniques for obtaining these bioactive compounds, methods of their determination and verification of antimicrobial effect. In the experimental part were spectrophotometrically determined contents of polyphenols and flavonoids in the prepared extracts of fennel tea, whole and crush spice. On the basis of extraction curves, antioxidant activity and potential antimicrobial activity against the selected microorganisms Bacillus subtilis, Bacillus cereus, Serratia marcescens a Micrococcus luteus was determined in the samples with the highest values of the given bioactive substances. Among the all monitored extracts, the inhibitory effect was showed only by an aqueous extract of the fennel tea against the bacterial strain of Micrococcus luteus.

No description available.

Decytospolides A and B are natural products isolated from Cytospora sp. No ZW02 that show mild anticancer properties. The interest in synthesizing these compound lies not in their activities, but rather the simplicity of the structure which could easily be modified to provide more potent derivatives. Previous syntheses of these compounds relied on transition metals to install the tetrahydropyran core or extensive use of protecting groups. Our first generation synthesis made use of the Achmatowicz rearrangement to synthesize the tetrahydropyran moiety. Based on this, a concise, protecting group free synthesis has been accomplished utilizing the Achmatowicz rearrangement of an optically active furanyl alcohol followed by diastereoselective Kishi reduction of the resulting dihydropyranone hemiacetal. <br><br>Carambolaflavone A is a natural product isolated from A. carambola with antidiabetic properties. Notably, these compound promote both insulin secretion and glucose uptake by muscle cells in hyperglycemic rats. A previous synthesis has been reported by Wang and coworkers, however this synthesis does not offer much potential for the formation of derivatives and relies on a C-glycosylation that requires heating for regio- and diastereoselectivity. Progress towards a concise synthesis has been made featuring a Lewis acid promoted highly diastereoselective substrate controlled C-glycosylation that does not require heating and a one pot oxidation of chroman to chromone utilizing DDQ. Further research is underway to complete the synthesis of this molecule by an oxidative addition to the chromone and subsequent removal of protecting groups.

<p>Pathogenic bacteria present a critical threat to modern medicine. Therapeutic strategies to target and eliminate resilient bacteria are not advancing at the same rate as the emergence of bacterial resistance. An associated urgent concern regarding antibiotic resistance is the existence and proliferation of intracellular bacteria, which find refuge from bactericidal mechanisms by hiding within mammalian cells. Therefore, many once-successful antibiotics become ineffective through the development of resistance, or through failure to reach intracellular locations in therapeutic concentration. To overcome these challenges, the covalent combination of a conventional antibiotic with an antibiotic, cell-penetrating peptide was explored to develop dual-action antibiotic conjugates. </p> <p>Herein, we utilized a strategy in conjugating the antibiotics by a cleavable linkage to cationic amphiphilic polyproline helices (CAPHs) to improve vancomycin and linezolid antibiotics. This approach enables the conjugate to penetrate cells and deliver two potent monomeric antimicrobial drugs. The vancomycin-CAPH conjugate, <b>VanP14S</b>, showed enhanced mammalian cell uptake compared to vancomycin, a poor mammalian cell-penetrating agent; and <b>VanP14S</b> was capable of cleaving and releasing two antibiotics under mimicked physiological conditions. Enhanced antibacterial activity was observed against a spectrum of Gram-positive and Gram-negative pathogens, including drug-resistant strains. Further investigation revealed that this conjugate’s bactericidal activity was not entirely the result of significant membrane perturbation such as a lytic mode of action. Mammalian cell toxicity and red blood cell lysis were insignificant at relevant bactericidal concentrations below 20 µM. The current results suggest an enhanced binding to the peptidoglycan of bacteria, the target of vancomycin, although more work is needed to justify this claim. Preliminary results on <b>VanP14GAPS</b>, a conjugate with a more rigid CAPH, convey similar activity to <b>VanP14S; </b>however,<b> </b>moderate increases in red blood cell lysis and cytotoxicity were observed. </p> <p>Regarding the <b>LnzP14</b> conjugate, preliminary data reveal that the conjugate has Gram-negative activity against <i>Escherichia coli</i>, whereas linezolid is ineffective in killing Gram-negative bacteria. This conjugate showed significant enhancement in cellular uptake compared to the CAPH, and the release of linezolid and CAPH in physiological conditions was confirmed. Overall, arming a conventional antibiotic with an antimicrobial, cell-penetrating peptide appears to be a powerful strategy in providing novel antibiotic conjugates with the propensity to overcome the limitations in treating challenging pathogens.</p>

No description available.