Dissertations / Theses on the topic 'Biological Science'
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Shih, Yu-Keng. "Identifying Protein Functions and Biological Systems through Exploring Biological Networks." The Ohio State University, 2014. http://rave.ohiolink.edu/etdc/view?acc_num=osu1388676152.
Full textHolden, Matthew Alexander. "Studies in biological surface science: microfluidics, photopatterning and artificial bilayers." Diss., Texas A&M University, 2004. http://hdl.handle.net/1969.1/458.
Full textFattah, Zahra Ali. "Applications of bipolar electrochemistry : from materials science to biological systems." Phd thesis, Université Sciences et Technologies - Bordeaux I, 2013. http://tel.archives-ouvertes.fr/tel-00917770.
Full textShepard, Pamela Ann. "The Use of Part-Time Faculty in Associate Degree Nursing, Social Science, and Biological Science Programs." Thesis, University of North Texas, 1990. https://digital.library.unt.edu/ark:/67531/metadc332403/.
Full textBarsotti, Robert J. Jr. "Nanomanufacturing for biological sensing applications." Thesis, Massachusetts Institute of Technology, 2007. http://hdl.handle.net/1721.1/38588.
Full text"February 2007."
Includes bibliographical references (leaves 219-226).
Over the past 10-15 years, there have been tremendous research efforts in the synthesis of nanomaterials with unique electronic properties. Much less work, however, has focused on the incorporation of the nanomaterials into electronic devices. In order for nanomaterials to have a technological impact in electronic devices, nanomanufacturing techniques must be established for the reliable and reproducible creation of devices with nanomaterials as the active component. In this thesis, the incorporation of 3-20 nm diameter ligand coated gold nanoparticles into an electronic device is studied. Ligand coated nanoparticles provide great control over their solubility and electronic properties through the choice of protecting ligand molecule. The use of an isolated nanoparticle in electronic devices presents two major difficulties which are studied in detail in this work. In order to use the electrical properties of a single particle or a few particles, insulating gaps in metallic electrodes must be fabricated with dimensions of 5-50 nm. Several methods including direct patterning with electron beam lithography, physical methods of gap formation, and electrical methods of gap formation are described, studied and evaluated for use in nanomanufacturing.
(cont.) A second major challenge is the specific assembly of nanoparticles into the nanogaps. The use of chemically directed assembly to pattern particles on templates generated by Dip Pen Nanolithography is described using several different surface chemistries. An electrical based method, dielectrophoresis, is found to be better suited for assembly of particles into the gaps and the forces which affect assembly are studied in detail. Electrical characterizations of networks of 10-200 nanoparticles are studied as a function of protecting ligand molecule. Preliminary results on the use of nanomanufactured devices consisting of gold nanoparticles-oglionucleotide conjugates bridging a nano-gap for DNA sensing are presented.
by Robert J. Barsotti, Jr.
Ph.D.
SCARDONI, Giovanni. "Computational Analysis of Biological networks." Doctoral thesis, Università degli Studi di Verona, 2010. http://hdl.handle.net/11562/343983.
Full textThis thesis, treating both topological and dynamic points of view, concerns several aspects of biological networks analysis. Regarding the topological analysis of biological networks, the main contribution is the node-oriented point of view of the analysis. It means that instead of concentrating on global properties of the networks, we analyze them in order to extract properties of single nodes. An excellent method to face this problem is to use node centralities. Node centralities allow to identify nodes in a network having a relevant role in the network structure. This can not be enough if we are dealing with a biological network, since the role of a protein depends also on its biological activity that can be detected with lab experiments. Our approach is to integrate centralities analysis and data from biological experiments. A protocol of analysis have been produced, and the CentiScaPe tool for computing network centralities and integrating topological analysis with biological data have been designed and implemented. CentiScaPe have been applied to a human kino-phosphatome network and according to our protocol, kinases and phosphatases with highest centralities values have been extracted creating a new subnetwork of most central kinases and phosphatases. A lab experiment established which of this proteins presented high activation level and through CentiScaPe the proteins with both high centrality values and high activation level have been easily identified. The notion of node centralities interference have also been introduced to deal with central role of nodes in a biological network. It allow to identify which are the nodes that are more affected by the remotion of a particular node measuring the variation on their centralities values when such a node is removed from the network. The application of node centralities interference to the human kino-phosphatome revealed that different proteins affect centralities values of different nodes. Similarly to node centralities interference, the notion of centrality robustness of a node is introduced. This notion reveals if the central role of a node depends on other particular nodes in the network or if the node is ``robust'' in the sense that even if we remove or add other nodes the central role of the node remains almost unchanged. The dynamic aspects of biological networks analysis have been treated from an abstract interpretation point of view. Abstract interpretation is a powerful framework for the analysis of software and is excellent in deriving numerical properties of programs. Dealing with pathways, abstract interpretation have been adapted to the analysis of pathways simulation. Intervals domain and constants domain have been succesfully used to automatically extract information about reactants concentration. The intervals domain allow to determine the range of concentration of the proteins, and the constants domain have been used to know if a protein concentration become constant after a certain time. The other domain of analysis used is the congruences domain that, if applied to pathways simulation can easily identify regular oscillating behaviour in reactants concentration. The use of abstract interpretation allows to execute thousands of simulation and to completely and automatically characterize the behaviour of the pathways. In such a way it can be used also to solve the problem of parameters estimation where missing parameters can be detected with a brute force algorithm combined with the abstract interpretation analysis. The abstract interpretation approach have been succesfully applied to the mitotic oscillator pathway, characterizing the behaviour of the pathway depending on some reactants. To help the analysis of relation between reactants in the network, the notions of variables interference and variables abstract interference have been introduced and adapted to biological pathways simulation. They allow to find relations between properties of different reactants of the pathway. Using the abstract interference techniques we can say, for instance, which range of concentration of a protein can induce an oscillating behaviour of the pathway.
Booth, Austin Greeley. "Essays on Biological Individuality." Thesis, Harvard University, 2014. http://nrs.harvard.edu/urn-3:HUL.InstRepos:13070056.
Full textPhilosophy
Murrel, Benjamin. "Improved models of biological sequence evolution." Thesis, Stellenbosch : Stellenbosch University, 2012. http://hdl.handle.net/10019.1/71870.
Full textENGLISH ABSTRACT: Computational molecular evolution is a field that attempts to characterize how genetic sequences evolve over phylogenetic trees – the branching processes that describe the patterns of genetic inheritance in living organisms. It has a long history of developing progressively more sophisticated stochastic models of evolution. Through a probabilist’s lens, this can be seen as a search for more appropriate ways to parameterize discrete state continuous time Markov chains to better encode biological reality, matching the historical processes that created empirical data sets, and creating useful tools that allow biologists to test specific hypotheses about the evolution of the organisms or the genes that interest them. This dissertation is an attempt to fill some of the gaps that persist in the literature, solving what we see as existing open problems. The overarching theme of this work is how to better model variation in the action of natural selection at multiple levels: across genes, between sites, and over time. Through four published journal articles and a fifth in preparation, we present amino acid and codon models that improve upon existing approaches, providing better descriptions of the process of natural selection and better tools to detect adaptive evolution.
AFRIKAANSE OPSOMMING: Komputasionele molekulêre evolusie is ’n navorsingsarea wat poog om die evolusie van genetiese sekwensies oor filogenetiese bome – die vertakkende prosesse wat die patrone van genetiese oorerwing in lewende organismes beskryf – te karakteriseer. Dit het ’n lang geskiedenis waartydens al hoe meer gesofistikeerde waarskynlikheidsmodelle van evolusie ontwikkel is. Deur die lens van waarskynlikheidsleer kan hierdie proses gesien word as ’n soektog na meer gepasde metodes om diskrete-toestand kontinuë-tyd Markov kettings te parametriseer ten einde biologiese realiteit beter te enkodeer – op so ’n manier dat die historiese prosesse wat tot die vorming van biologiese sekwensies gelei het nageboots word, en dat nuttige metodes geskep word wat bioloë toelaat om spesifieke hipotesisse met betrekking tot die evolusie van belanghebbende organismes of gene te toets. Hierdie proefskrif is ’n poging om sommige van die gapings wat in die literatuur bestaan in te vul en bestaande oop probleme op te los. Die oorkoepelende tema is verbeterde modellering van variasie in die werking van natuurlike seleksie op verskeie vlakke: variasie van geen tot geen, variasie tussen posisies in gene en variasie oor tyd. Deur middel van vier gepubliseerde joernaalartikels en ’n vyfde artikel in voorbereiding, bied ons aminosuur- en kodon-modelle aan wat verbeter op bestaande benaderings – hierdie modelle verskaf beter beskrywings van die proses van natuurlike seleksie sowel as beter metodes om gevalle van aanpassing in evolusie te vind.
Cramer, Karla B. "Impact of constructivism via the biological sciences curriculum study (BSCS) 5E model on student science achievement and attitude." Montana State University, 2012. http://etd.lib.montana.edu/etd/2012/cramer/CramerK0812.pdf.
Full textLiu, Hui Qing 1957. "Fingerprinting biological materials." Thesis, The University of Arizona, 1992. http://hdl.handle.net/10150/291369.
Full textNorville, 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.
Burrows, Andrea C. "A social study of women in contemporary biological sciences." Diss., This resource online, 1991. http://scholar.lib.vt.edu/theses/available/etd-07282008-135540/.
Full textCotton-Barratt, Rebecca. "Modelling biological form in evolution." Thesis, University of Warwick, 2013. http://wrap.warwick.ac.uk/70973/.
Full textWala, Zingfa Jantur. "Birds and people: studies based on citizen science and census data of Greater Gauteng, South Africa." Doctoral thesis, University of Cape Town, 2018. http://hdl.handle.net/11427/29541.
Full textXu, Keyuan. "Stochastic modeling of biological sequence evolution." Thesis, Massachusetts Institute of Technology, 2005. http://hdl.handle.net/1721.1/32113.
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 81-86).
Markov models of sequence evolution are a fundamental building block for making inferences in biological research. This thesis reviews several major techniques developed to estimate parameters of Markov models of sequence evolution and presents a new approach for evaluating and comparing estimation techniques. Current methods for evaluating estimation techniques require sequence data from populations with well-known phylogenetic relationships. Such data is not always available since phylogenetic relationships can never be known with certainty. We propose generating sequence data for the purpose of estimation technique evaluation by simulating sequence evolution in a controlled setting. Our elementary simulator uses a Markov model and a binary branching process, which dynamically builds a phylogenetic tree from an initial seed sequence. The sequences at the leaves of the tree can then be used as input to estimation techniques. We demonstrate our evaluation approach on Arvestad and Bruno's estimation method, and show how our approach can reveal performance variations empirically. The results of our simulation can be used as a guide towards improving estimation techniques.
by Keyuan Xu.
M.Eng.
West, H. K. "Competing divalent cations in biological systems." Thesis, University of Worcester, 2001. http://eprints.worc.ac.uk/7188/.
Full textGao, Si Zhu 1975. "A survey of tree models in biological applications /." Thesis, McGill University, 2006. http://digitool.Library.McGill.CA:80/R/?func=dbin-jump-full&object_id=97956.
Full textWu, Daniel Duanqing Hu Xiaohua. "The structure and function of biological networks /." Philadelphia, Pa. : Drexel University, 2010. http://hdl.handle.net/1860/3327.
Full textJennings, Arthur John. "Practical work in school secondary science and the curriculum influence of its assessment, with particular reference to biological science." Thesis, University College London (University of London), 1995. http://discovery.ucl.ac.uk/10020245/.
Full textKing, Lance E. "Competing discourses in science education policy a discourse analysis of the tensions surrounding biological evolution in Florida's science standards /." Tallahassee, Florida : Florida State University, 2009. http://etd.lib.fsu.edu/theses/available/etd-05052009-121505/.
Full textAdvisor: Sherry A. Southerland, Florida State University, College of Education, School of Teacher Education. Title and description from dissertation home page (viewed on Oct. 27, 2009). Document formatted into pages; contains viii, 113 pages. Includes bibliographical references.
Reblitz-Richardson, Orion Aubrey 1976. "Architecture for biological model and database networking." Thesis, Massachusetts Institute of Technology, 2000. http://hdl.handle.net/1721.1/86495.
Full textIncludes bibliographical references (leaves 73-75).
by Orion Aubrey Reblitz-Richardson.
S.B.and M.Eng.
Hee, Michael Richard. "Biological imaging with low coherence optical interferometry." Thesis, Massachusetts Institute of Technology, 1992. http://hdl.handle.net/1721.1/12928.
Full textScelfo, Tony (Tony W. ). "Data visualization of biological microscopy image analyses." Thesis, Massachusetts Institute of Technology, 2006. http://hdl.handle.net/1721.1/37073.
Full textIncludes bibliographical references.
The Open Microscopy Environment (OME) provides biologists with a framework to store, analyze and manipulate large sets of image data. Current microscopes are capable of generating large numbers of images and when coupled with automated analysis routines, researchers are able to generate intractable sets of data. I have developed an extension to the OME toolkit, named the LoViewer, which allows researchers to quickly identify clusters of images based on relationships between analytically measured parameters. By identifying unique subsets of data, researchers are able to make use of the rest of the OME client software to view interesting images in high resolution, classify them into category groups and apply further analysis routines. The design of the LoViewer itself and its integration with the rest of the OME toolkit will be discussed in detail in body of this thesis.
by Tony Scelfo.
M.Eng.and S.B.
Tsankov, Alex. "Communication between layers in biological transcriptional networks." Thesis, Massachusetts Institute of Technology, 2005. http://hdl.handle.net/1721.1/33208.
Full textThis electronic version was submitted by the student author. The certified thesis is available in the Institute Archives and Special Collections.
"May 2005."
Includes bibliographical references (leaves 87-89).
Chromatin-immunoprecipitation experiments in combination with microarrays (known as ChIP-chip) have recently allowed biologists to map where proteins bind in the yeast genome. The combinatorial binding of different proteins at or near a gene controls the transcription (copying) of a gene and the production of the functional RNA or protein that the gene encodes. Therefore, ChIP-chip data provides powerful insight on how genes and gene products (i.e., proteins, RNA) interact and regulate one another in the underlying network of the cell. Much of the current work in modeling yeast transcriptional networks focuses on the regulatory effect of a class of proteins known as transcription factors (TF). However, other sets of factors also influence transcription, including histone modifications and states (HS), histone modifiers (HM) and remodelers, nuclear processing (NP), and nuclear transport (NT) proteins. In order to gain a holistic understanding of the non-linear process of transcription, our work examines the communication between all five forementioned classes (or layers) of regulators. We use vastly available rich-media ChIP-chip data for various proteins within the five classes to model a multi-layered transcriptional network of the yeast species Saccharomyces cerevisiae.
(cont.) Following the introduction in Chapter 1, Chapter 2 describes the non-trivial process of incorporating the different sources of data into a coherent set and normalizing the heterogeneous data to improve biological accuracy. Using the normalized data, Chapter 3 finds biologically meaningful pairwise statistics between proteins, including filtered correlation coefficient, and mutual information p-values. It then combines the p-values of the two complementary approaches in order to increase the reliability of our predictions. Chapter 4 uncovers group-wise relationships between proteins using a novel semi-supervised clustering algorithm that preserves information about elements of a cluster in order to better capture group-wise dependencies. Throughout the theoretical analysis, we confirm various known biological processes and uncover several novel hypotheses. Based on the developed methodology, Chapter 5 builds a multi-layered transcriptional network and quantifies the communication between levels in biological transcriptional networks.
by Alex Tsankov.
S.M.
Patke, Usha. "Inquiry-based laboratory investigations and student performance on standardized tests in biological science." Thesis, Walden University, 2013. http://pqdtopen.proquest.com/#viewpdf?dispub=3600291.
Full textAchievement data from the 3rd International Mathematics and Sciences Study and Program for International Student Assessment in science have indicated that Black students from economically disadvantaged families underachieve at alarming rates in comparison to White and economically advantaged peer groups. The study site was a predominately Black, urban school district experiencing underachievement. The purpose of this correlational study was to examine the relationship between students’ use of inquiry-based laboratory investigations and their performance on the Biology End of Course Test, as well as to examine the relationship while partialling out the effects of student gender. Constructivist theory formed the theoretical foundation of the study. Students’ perceived levels of experience with inquiry-based laboratory investigations were measured using the Laboratory Program Variable Inventory (LPVI) survey. LPVI scores of 256 students were correlated with test scores and were examined by student gender. The Pearson correlation coefficient revealed a small direct correlation between students’ experience in inquiry-based laboratory investigation classes and standardized test scores on the Biology EOCT. A partial correlational analysis indicated that the correlation remained after controlling for gender. This study may prompt a change from teacher-centered to student-centered pedagogy at the local site in order to increase academic achievement for all students. The results of this study may also influence administrators and policy makers to initiate local, state, or nationwide curricular development. A change in curriculum may promote social change as students become more competent, and more able, to succeed in life beyond secondary school.
Kinchin, Ian M. "The active use of concept mapping to promote meaningful learning in biological science." Thesis, University of Surrey, 2000. http://epubs.surrey.ac.uk/908/.
Full textStadler, Max. "Assembling life : models, the cell, and the reformations of biological science, 1920-1960." Thesis, Imperial College London, 2010. http://hdl.handle.net/10044/1/11920.
Full textPatke, Usha. "Inquiry-based laboratory investigations and student performance on standardized tests in biological science." ScholarWorks, 2011. https://scholarworks.waldenu.edu/dissertations/1089.
Full textSu, Wei. "Motif Mining On Structured And Semi-structured Biological Data." Case Western Reserve University School of Graduate Studies / OhioLINK, 2013. http://rave.ohiolink.edu/etdc/view?acc_num=case1365089538.
Full textEnsair, Hend Assiad M. "The biology of Boopsoidea inornata (Castelnau, 1861) and life history comparisons within the Sparidae." Doctoral thesis, Faculty of Science, 2019. http://hdl.handle.net/11427/31412.
Full textBotha, Thomas Petrus Arnoldus. "The Burrowing Barnacles (Cirripedia, Acrothoracica) of South Africa." Master's thesis, Faculty of Science, 2019. http://hdl.handle.net/11427/31090.
Full textSmith, Megan. "Population genetics of South African Protea L. (Proteaceae) species associated with various pollinator guilds." Master's thesis, Faculty of Science, 2019. http://hdl.handle.net/11427/31267.
Full textAdaramola, Rhoda Fiyinfoluwa. "Relationship between Aspalathus linearis (Burm. F.) R. Dahlgren (rooibos) growth and soil moisture in a glasshouse and in the DSSAT-CSM crop model." Master's thesis, Faculty of Science, 2021. http://hdl.handle.net/11427/33623.
Full textAarthy, T. "Limonoid biosynthesis in azadirachta indica: characterization of pathway genes and analysis of labeled metabolites through stable isotope feeding." Thesis(Ph.D.), CSIR-National Chemical Laboratory, Pune, 2019. http://dspace.ncl.res.in:8080/xmlui/handle/20.500.12252/4584.
Full textAcSIR
Walker, Michael John. "Safeguarding food : advances in forensic measurement science and the regulation of allergens, additives and authenticity." Thesis, Kingston University, 2016. http://eprints.kingston.ac.uk/37907/.
Full textChen, Weiqi. "Active module identification in biological networks." Thesis, University of Birmingham, 2018. http://etheses.bham.ac.uk//id/eprint/8542/.
Full textLeeson-Schatz, Joseph. "The technological narrative of biological evolution." Diss., Online access via UMI:, 2009.
Find full textTunstall, Lucy Victoria. "Synthesis and biological evaluation of three novel antimalarial series." Thesis, Keele University, 2018. http://eprints.keele.ac.uk/5150/.
Full textBell, Alexander Charlton. "Formal computational models of biological systems." Thesis, University of Sheffield, 1998. http://ethos.bl.uk/OrderDetails.do?uin=uk.bl.ethos.301423.
Full textKumlin, Terese. "Social science students’ perceptions of motivational methods and approaches in science class." Thesis, Malmö högskola, Fakulteten för lärande och samhälle (LS), 2017. http://urn.kb.se/resolve?urn=urn:nbn:se:mau:diva-36394.
Full textKoblentz, Gregory D. "Pathogens as weapons : the international security implications of biological warfare." Thesis, Massachusetts Institute of Technology, 2004. http://hdl.handle.net/1721.1/28498.
Full textIncludes bibliographical references (p. 183-222).
This dissertation assesses the international security implications of biological weapons and the strategic consequences of their proliferation. It examines the impact of biological weapons on four key areas of concern for international security: proliferation, deterrence, civil-military relations, and threat assessment. The dissertation draws upon a range of theories from the field of security studies and a wealth of newly available information regarding the biological weapons programs of Iraq, the former Soviet Union, the United States, United Kingdom, and South Africa. My analysis yields four major findings. First, it is extremely difficult to prevent the spread of biological warfare capabilities to actors that want them and these actors tend to be motivated by a desire to challenge the status quo. Contrary to conventional wisdom, biological weapons have utility across the spectrum of conflict and are well suited to supporting asymmetric strategies against stronger opponents. Second, biological weapons do not confer the deterrent benefits associated with nuclear weapons and will undermine reliance on deterrence as a security strategy. Biological weapons are not suitable as strategic deterrents due to the uncertainty regarding their effects, the availability of defenses and the reliance of these weapons on secrecy and surprise for their effectiveness. The accessibility of these weapons to a diverse range of actors, including terrorists, and the ease of clandestine attacks undermines the effectiveness of deterrence as a security strategy. Third, civilian oversight of biological warfare programs is hindered by the intense secrecy that shrouds these programs. This lack of supervision leads to abuse and corruption by
(cont.) program managers, impedes adherence to international agreements, and increases the risk of such programs becoming the source of materials for terrorists. Fourth, states tend to have flawed assessments of their opponent's biological warfare capabilities and intentions. The result of such flawed assessments may be worst-case planning and overreaction to a perceived threat or complacency and continued vulnerability to attack. Biological. weapons will continue to exert a destabilizing influence on international security until defenses against these weapons are improved, governments can reliably detect biological weapons activities, the proliferation of biological weapons materials and expertise is staunched, and the norms against their possession and use are strengthened.
by Gregory D. Koblentz.
Ph.D.
Nadeau, Phillip Michel. "Ultra-low energy electronics for synthetic biological sensors." Thesis, Massachusetts Institute of Technology, 2016. http://hdl.handle.net/1721.1/107288.
Full textThis electronic version was submitted by the student author. The certified thesis is available in the Institute Archives and Special Collections.
Cataloged from student-submitted PDF version of thesis.
Includes bibliographical references (pages 143-151).
Advances in microelectronics have contributed to the wide availability of wearable sensor nodes for vital signs monitoring. Without additional pieces however, electronics by themselves can perform only basic detection tasks. This work explores the "functionalization" of low-power low-cost microelectronics with equally inexpensive genetically engineered whole-cell microbial sensors to aid in sensing the chemical domain. The driving application is an ingestible sensor for bleeding detection in the gastrointestinal tract. First, we present in vivo measurements of energy-harvesting in the gastrointestinal tract in order to set a power budget for the proposed ingestible sensor. The harvester is based on metal electrodes that react with the stomach contents to generate energy. Here we demonstrate 0.23 [mu]W of average power per mm2 of electrode area delivered to a load for a mean of 6.1 days. Next, we present the design of an ultra-low energy relaxation oscillator. The oscillator can be used as a slow clock source for waking the ingestible sensor from sleep mode and for running slow analog measurements. The core oscillator uses an 18-transistor 3-stage architecture designed to minimize short circuit current and consumes only switching energy across a wide range of Vdd. At 0.6 V, the oscillator system consumes 230 fJ/cycle and can operate across a wide range of low frequencies from 18 Hz to 1000 Hz. Finally, we present the design of an ultra-low energy readout system for genetically engineered whole-cell biosensors. A time-based threshold-crossing scheme is used to quantify the low-intensity bioluminescence incident on the phototransistor detector. The system includes a 900 MHz transmitter, controller, and support electronics on the chip in order to demonstrate molecule-to-wireless-bits sensing on a nanowatt power budget. With the continued expansion of the Internet of Things, the concepts in this thesis can be used to further enhance the capabilities of low-cost microelectronics in the area of vital signs and physiological monitoring. By conferring the ability to sense small molecules using a synthetic biology foundation, new types of low-cost diagnostics can be envisioned for connected health monitoring.
by Phillip Michel Nadeau.
Ph. D.
Creager, Douglas A. (Douglas Adam) 1979. "A modular architecture for biological microscope image analysis." Thesis, Massachusetts Institute of Technology, 2003. http://hdl.handle.net/1721.1/87398.
Full textMellen, Jeffrey C. (Jeffrey Clark) 1981. "Visualization and management of large biological imaging datasets." Thesis, Massachusetts Institute of Technology, 2004. http://hdl.handle.net/1721.1/28451.
Full textIncludes bibliographical references (p. 83).
The Open Microscopy Environment (OME) image browser enables biologists to quickly analyze, manipulate and modify large imaging datasets. The browser includes a variety of features that facilitate image classification, annotation, visualization, and organization. The browser displays image metadata using a variety of techniques, including visual cues, context-sensitive overlays, and color-coding. The application explicitly supports visualization of screening datasets, but also supports multidimensional images, as well as standalone images. When integrated with the rest of the applications of the OME client software, the browser allows users to view images in greater resolution, analyze multiple dimensions, and in future releases will support analysis routines.
by Jeffrey C. Mellen.
M.Eng.
Stanescu, Ana. "Semi-supervised learning for biological sequence classification." Diss., Kansas State University, 2015. http://hdl.handle.net/2097/35810.
Full textDepartment of Computing and Information Sciences
Doina Caragea
Successful advances in biochemical technologies have led to inexpensive, time-efficient production of massive volumes of data, DNA and protein sequences. As a result, numerous computational methods for genome annotation have emerged, including machine learning and statistical analysis approaches that practically and efficiently analyze and interpret data. Traditional machine learning approaches to genome annotation typically rely on large amounts of labeled data in order to build quality classifiers. The process of labeling data can be expensive and time consuming, as it requires domain knowledge and expert involvement. Semi-supervised learning approaches that can make use of unlabeled data, in addition to small amounts of labeled data, can help reduce the costs associated with labeling. In this context, we focus on semi-supervised learning approaches for biological sequence classification. Although an attractive concept, semi-supervised learning does not invariably work as intended. Since the assumptions made by learning algorithms cannot be easily verified without considerable domain knowledge or data exploration, semi-supervised learning is not always "safe" to use. Advantageous utilization of the unlabeled data is problem dependent, and more research is needed to identify algorithms that can be used to increase the effectiveness of semi-supervised learning, in general, and for bioinformatics problems, in particular. At a high level, we aim to identify semi-supervised algorithms and data representations that can be used to learn effective classifiers for genome annotation tasks such as cassette exon identification, splice site identification, and protein localization. In addition, one specific challenge that we address is the "data imbalance" problem, which is prevalent in many domains, including bioinformatics. The data imbalance phenomenon arises when one of the classes to be predicted is underrepresented in the data because instances belonging to that class are rare (noteworthy cases) or difficult to obtain. Ironically, minority classes are typically the most important to learn, because they may be associated with special cases, as in the case of splice site prediction. We propose two main techniques to deal with the data imbalance problem, namely a technique based on "dynamic balancing" (augmenting the originally labeled data only with positive instances during the semi-supervised iterations of the algorithms) and another technique based on ensemble approaches. The results show that with limited amounts of labeled data, semisupervised approaches can successfully leverage the unlabeled data, thereby surpassing their completely supervised counterparts. A type of semi-supervised learning, known as "transductive" learning aims to classify the unlabeled data without generalizing to new, previously not encountered instances. Theoretically, this aspect makes transductive learning particularly suitable for the task of genome annotation, in which an entirely sequenced genome is typically available, sometimes accompanied by limited annotation. We study and evaluate various transductive approaches (such as transductive support vector machines and graph based approaches) and sequence representations for the problems of cassette exon identification. The results obtained demonstrate the effectiveness of transductive algorithms in sequence annotation tasks.
Seier, Edith, and Karl H. Joplin. "Introduction to STATISTICS in a Biological Context." Digital Commons @ East Tennessee State University, 2011. http://amzn.com/1463613377.
Full textCampos, Joana Monteiro de. "TRIB2 in human AML : a biological and clinical investigation." Thesis, University of Glasgow, 2016. http://theses.gla.ac.uk/7499/.
Full textLee, Yun Jung Ph D. Massachusetts Institute of Technology. "Nanostructured electrodes for lithium ion batteries using biological scaffolds." Thesis, Massachusetts Institute of Technology, 2009. http://hdl.handle.net/1721.1/54578.
Full textCataloged from PDF version of thesis.
Includes bibliographical references (p. 134-139).
Without doubt, energy and environment are becoming central issues for the future. In this regard, not only device performance but also environmentally sustainable ways of making energy device is important. To meet these needs, a M13 virus based biological toolkit was utilized in this work for controlling nanostructures of lithium ion battery electrodes which is a critical process in developing electrodes materials for high power applications. The M13 biological toolkit provides specificity, versatility and multifunctionality for controlling nanostructure of the materials using basic biological principles. The versatile E4 virus template could nucleate active cathode materials at low temperature by an environmentally benign method. High power lithium ion battery cathode materials were fabricated using genetically programmed multifunctional virus as a versatile scaffold for the synthesis and assembly of materials. A novel strategy for specifically attaching electrochemically active materials to conducting carbon nanotubes networks through biological molecular recognition was developed by manipulating the two-genes of the M13 virus. Viral amorphous iron phosphates cathodes achieved remarkable and otherwise impossible high power performance using this multifunctional virus. This environmentally benign low temperature biological scaffold could facilitate new types of electrode materials by activating a class of materials that have been excluded because of their extremely low electronic conductivity. Architecting nanostructures was further extended to activate noble metal alloy nanowires as anodes for lithium ion batteries by alleviating mechanical stress.
(cont.) By demonstrating electrochemical activity of noble metal alloy nanowires with various compositions, the M13 biological toolkit extended its utility for the study on the basic electrochemical property of materials.
by Yun Jung Lee.
Ph.D.
Eren, Kemal. "Application of biclustering algorithms to biological data." The Ohio State University, 2012. http://rave.ohiolink.edu/etdc/view?acc_num=osu1332533492.
Full textCowman, Tyler. "Compression and Version Control of Biological Networks." Case Western Reserve University School of Graduate Studies / OhioLINK, 2021. http://rave.ohiolink.edu/etdc/view?acc_num=case160701146645758.
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