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Dissertations / Theses on the topic 'Biophysical data'

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1

Vaillancourt, Benoit. "Novel biophysical appliations [sic] of STICS." Thesis, McGill University, 2008. http://digitool.Library.McGill.CA:80/R/?func=dbin-jump-full&object_id=111550.

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The object of this thesis is to present two novel applications of Spatiotemporal Image Correlation Spectroscopy (STICS) to biological systems. STICS is a technique which uses the correlations in pixel intensity fluctuations of an image time series, captured under fluorescence microscopy, to measure the speed and direction of a flowing population of fluorescently labeled molecules. The method was first applied to measure the dynamics of transport vesicles inside growing pollen tubes of lily flowers. The measured vector maps allowed to confirm the presence of actin filaments along the periphery
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Hesley, Z. J. "Deriving albedo and biophysical properties from coarse spatial resolution multiple-view-angle data." Thesis, Swansea University, 1999. http://ethos.bl.uk/OrderDetails.do?uin=uk.bl.ethos.637270.

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Previous investigations have focused on the development of bidirectional reflectance distribution function (BRDF) models and the implementation of computationally-efficient procedures for model inversion. The present study explores the operational use of BRDF models since little is known about producing BRDF at an operational level. Earlier work indicated that the angular sampling regimes of sensors influenced the accuracy of albedo estimated from BRDF models and multiple view angle (MVA) data. This work takes this a stage further by attempting to quantify the albedo error from present and fut
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Rahmati, Vahid, Knut Kirmse, Dimitrije Marković, Knut Holthoff, and Stefan J. Kiebel. "Inferring Neuronal Dynamics from Calcium Imaging Data Using Biophysical Models and Bayesian Inference." Saechsische Landesbibliothek- Staats- und Universitaetsbibliothek Dresden, 2016. http://nbn-resolving.de/urn:nbn:de:bsz:14-qucosa-203385.

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Calcium imaging has been used as a promising technique to monitor the dynamic activity of neuronal populations. However, the calcium trace is temporally smeared which restricts the extraction of quantities of interest such as spike trains of individual neurons. To address this issue, spike reconstruction algorithms have been introduced. One limitation of such reconstructions is that the underlying models are not informed about the biophysics of spike and burst generations. Such existing prior knowledge might be useful for constraining the possible solutions of spikes. Here we describe, in a no
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4

Stam, Carson A. "Using Biophysical Geospatial and Remotely Sensed Data to Classify Ecological Sites and States." DigitalCommons@USU, 2012. https://digitalcommons.usu.edu/etd/1389.

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Monitoring and identifying the state of rangelands on a landscape scale can be a time consuming process. In this thesis, remote sensing imagery has been used to show how the process of classifying different ecological sites and states can be done on a per pixel basis for a large landscape. Twenty-seven years' worth of remotely sensed imagery was collected, atmospherically corrected, and radiometrically normalized. Several vegetation indices were extracted from the imagery along with derivatives from a digital elevation model. Dominant vegetation components from five major ecological sites in R
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Landmann, Tobias. "A case study for Skukuza estimating biophysical properties of fires using EOS-MODIS satellite data /." Doctoral thesis, [S.l.] : [s.n.], 2003. http://deposit.ddb.de/cgi-bin/dokserv?idn=970359403.

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6

McClurg, Paxton. "Application of Biophysical Data to an Unsupervised Classification to Map Ecoregional Boundaries in the Desert Southwest." DigitalCommons@USU, 2002. https://digitalcommons.usu.edu/etd/6598.

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An unsupervised classification was applied to continuous biophysical variables in an attempt to delineate ecoregional boundaries in the desert southwest. Output was then compared with ecoregions delineated by the Natural Resources Conservation Service (NRCS), the Environmental Protection Agency (EPA), and the Forest Service at the national level. An attempt was made to use the same biophysical variables for input into the unsupervised classification as was emphasized by the various agencies with their ecoregional classifications at the desert level. Major constraints included data availability
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7

Alistair, Chalk. "PREDICTION OF PROTEIN SECONDARY STRUCTURE by Incorporating Biophysical Information into Artificial Neural Networks." Thesis, University of Skövde, Department of Computer Science, 1998. http://urn.kb.se/resolve?urn=urn:nbn:se:his:diva-235.

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<p>This project applied artificial neural networks to the field of secondary structure prediction of proteins. A NETtalk architecture with a window size 13 was used. Over-fitting was avoided by the use of 3 real numbers to represent amino acids, reducing the number of adjustable weights to 840. Two alternative representations of amino acids that incorporated biophysical data were created and tested. They were tested both separately and in combination on a standard 7-fold cross-validation set of 126 proteins. The best performance was achieved using an average result from two predictions. This w
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8

Guanter, Palomar Luis. "New algorithms for atmospheric correction and retrieval of biophysical parameters in earth observation. Application to ENVISAT/MERIS data." Doctoral thesis, Universitat de València, 2007. http://hdl.handle.net/10803/9877.

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An algorithm for the derivation of atmospheric and surface biophysical products from the MEdium Resolution Imaging Spectrometer Instrument (MERIS) on board ENVIronmental SATellite (ENVISAT/MERIS) Level 1b data over land has been developed. Georectified aerosol optical thickness (AOT), columnar water vapor (CWV), spectral surface reflectance and chlorophyll fluorescence (CF) maps are generated. Emphasis has been put on implementing a robust software able to provide those products on an operational manner, making no use of ancillary parameters apart from those attached to MERIS images. For this
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9

Gao, Xiang. "Optical-biophysical relationships and validation of MODIS vegetation indices with multiple fine spatial resolution data in semiarid rangelands." Diss., The University of Arizona, 2001. http://hdl.handle.net/10150/279915.

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The vegetation index products from the Moderate Resolution Imaging Spectroradiometer (MODIS) are designed to provide consistent, spatial and temporal comparisons of global vegetation conditions. The objective of this dissertation was to validate the robustness and global implementation of two MODIS VI algorithms, including the normalized difference vegetation index (NDVI) and "enhanced" vegetation index (EVI). Their performances have been evaluated in: (1) the normalization of canopy background (brightness) variations and the extraction of biophysical parameters across different canopy structu
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10

Zsigovics, Gabor. "Derivation of biophysical variables from fine resolution imagery for co-processing with socio-economic data in an urban area." Thesis, National Library of Canada = Bibliothèque nationale du Canada, 2000. http://www.collectionscanada.ca/obj/s4/f2/dsk1/tape4/PQDD_0021/MQ53459.pdf.

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11

Harikumar, Aravind. "Advanced methods for tree species classification and biophysical parameter estimation using crown geometric information in high density LiDAR data." Doctoral thesis, Università degli studi di Trento, 2019. https://hdl.handle.net/11572/369121.

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The ecological, climatic and economic influence of forests makes them an essential natural resource to be studied, preserved, and managed. Forest inventorying using single sensor data has a huge economic advantage over multi-sensor data. Remote sensing of forests using high density multi-return small footprint Light Detection and Ranging (LiDAR) data is becoming a cost-effective method to automatic estimation of forest parameters at the Individual Tree Crown (ITC) level. Individual tree detection and delineation techniques form the basis for ITC level parameter estimation. However SoA techniqu
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Harikumar, Aravind. "Advanced methods for tree species classification and biophysical parameter estimation using crown geometric information in high density LiDAR data." Doctoral thesis, University of Trento, 2019. http://eprints-phd.biblio.unitn.it/3782/1/PhD_Thesis_Harikumar.pdf.

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The ecological, climatic and economic influence of forests makes them an essential natural resource to be studied, preserved, and managed. Forest inventorying using single sensor data has a huge economic advantage over multi-sensor data. Remote sensing of forests using high density multi-return small footprint Light Detection and Ranging (LiDAR) data is becoming a cost-effective method to automatic estimation of forest parameters at the Individual Tree Crown (ITC) level. Individual tree detection and delineation techniques form the basis for ITC level parameter estimation. However SoA techniq
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Mayer, Jürgen. "Investigation of the biophysical basis for cell organelle morphology." Master's thesis, Saechsische Landesbibliothek- Staats- und Universitaetsbibliothek Dresden, 2010. http://nbn-resolving.de/urn:nbn:de:bsz:14-qucosa-26600.

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It is known that fission yeast Schizosaccharomyces pombe maintains its nuclear envelope during mitosis and it undergoes an interesting shape change during cell division - from a spherical via an ellipsoidal and a peanut-like to a dumb-bell shape. However, the biomechanical system behind this amazing transformation is still not understood. What we know is, that the shape must change due to forces acting on the membrane surrounding the nucleus and the microtubule based mitotic spindle is thought to play a key role. To estimate the locations and directions of the forces, the shape of the nucleus
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14

Mayer, Jürgen. "Investigation of the biophysical basis for cell organelle morphology." Master's thesis, Max-Planck-Institut für Molekulare Zellbiologie und Genetik, 2008. https://tud.qucosa.de/id/qucosa%3A25225.

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It is known that fission yeast Schizosaccharomyces pombe maintains its nuclear envelope during mitosis and it undergoes an interesting shape change during cell division - from a spherical via an ellipsoidal and a peanut-like to a dumb-bell shape. However, the biomechanical system behind this amazing transformation is still not understood. What we know is, that the shape must change due to forces acting on the membrane surrounding the nucleus and the microtubule based mitotic spindle is thought to play a key role. To estimate the locations and directions of the forces, the shape of the nucleus
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15

Buterbaugh, Jeffrey Scott. "The acquisition and analysis of time-resolved fluorescence data from complex systems : applications to problems of photochemical, biophysical, and environmental interest /." The Ohio State University, 1998. http://rave.ohiolink.edu/etdc/view?acc_num=osu1487948807588985.

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16

Ahmadian, Nima [Verfasser]. "Integrating Satellite Remote Sensing and In-situ Measurements to Estimate the Biophysical Parameters of Agricultural crop using Multispectral and Radar Data / Nima Ahmadian." Greifswald : Universitätsbibliothek Greifswald, 2017. http://d-nb.info/1138116963/34.

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17

Chernetskiy, Maxim [Verfasser], Christiane [Gutachter] Schmullius, and Angela [Gutachter] Lausch. "Retrieving spectral and biophysical parameters of land vegetation by the Earth Observation Land Data Assimilation System / Maxim Chernetskiy ; Gutachter: Christiane Schmullius, Angela Lausch." Jena : Friedrich-Schiller-Universität Jena, 2018. http://d-nb.info/1206098759/34.

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18

Ding, Deng. "An integrated modeling framework of socio-economic, biophysical, and hydrological processes in Midwest landscapes: remote sensing data, agro-hydrological model, and agent-based model." Diss., University of Iowa, 2014. https://ir.uiowa.edu/etd/1840.

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Intensive human-environment interactions are taking place in Midwestern agricultural systems. An integrated modeling framework is suitable for predicting dynamics of key variables of the socio-economic, biophysical, hydrological processes as well as exploring the potential transitions of system states in response to changes of the driving factors. The purpose of this dissertation is to address issues concerning the interacting processes and consequent changes in land use, water balance, and water quality using an integrated modeling framework. This dissertation is composed of three studies in
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19

Landmann, Tobias. "A case study for Skukuza : estimating biophysical properties of fires using EOS-MODIS satellite data : a field and remote sensing study to quantify burnt area and fire effects in South African semi-arid savannas /." Aachen : Shaker, 2004. http://www.loc.gov/catdir/toc/fy0708/2006485603.html.

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Landmann, Tobias. "A case study for Skukuza : estimating biophysical poperties of fires using EOS-MODIS satellite data ; a field and remote sensing study to quantify burnt area and fire effects in South African semi-arid savannas /." Aachen : Shaker-Verl, 2004. http://www.loc.gov/catdir/toc/fy0708/2006485603.html.

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21

Landmann, Tobias [Verfasser]. "A case study for Skukuza: Estimating biophysical properties of fires using EOS-MODIS satellite data : A field and remote sensing study to quantify burnt area and fire effects in South African semi-arid savannas / Tobias Landmann." Aachen : Shaker, 2004. http://d-nb.info/1172610657/34.

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22

Kowalewski, Jacob. "Modeling and Data Analysis in Cellular Biophysics." Doctoral thesis, KTH, Cellens fysik, 2009. http://urn.kb.se/resolve?urn=urn:nbn:se:kth:diva-11368.

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Cellular biophysics deals with the physical aspects of cell biology. This thesis presents a number of studies where mathematical models and data analysis can increase our understanding of this field. During recent years development in experimental methods and mathematical modeling have driven the amount of data and complexity in our understanding of cellular biology to a new level. This development has made it possible to describe cellular systems quantitatively where only qualitative descriptions were previously possible. To deal with the complex data and models that arise in this kind of res
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23

Greenberg, Charles Harold. "Inferring Optimally Precise and Maximally Accurate Models from Electron Microscopy Data." Thesis, University of California, San Francisco, 2016. http://pqdtopen.proquest.com/#viewpdf?dispub=10165386.

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<p> Advances in electron microscopy (EM) allow for structure determination of large macromolecular machines at increasingly high resolutions. A key step in this process is interpreting the EM density map with structural models of maximal accuracy and optimal precision. Model precision should be determined by the uncertainty in the experimental data; however, current methods only set uncertainty in an <i>ad hoc</i> manner with arbitrary weight terms. Thus, there is a need for more objective methods.</p><p> In Chapter 2, I present a novel Bayesian approach to modeling macromolecular structures
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24

Prestidge, M. C. "Data analysis and processing in X-ray diffraction studies from myosin heads in muscle." Thesis, Open University, 1991. http://ethos.bl.uk/OrderDetails.do?uin=uk.bl.ethos.292345.

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25

Furchtgott, Leon A. "Simultaneous Inference of Cell Types, Lineage Trees, and Regulatory Genes From Gene Expression Data." Thesis, Harvard University, 2016. http://nrs.harvard.edu/urn-3:HUL.InstRepos:33493563.

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Important goals of developmental biology include identifying cell types, understanding the sequence of lineage choices made by multipotent cells and unconvering the molecular networks controlling these decisions. Achieving these goals through computational analysis of gene expression data has been difficult. In this dissertation supervised by Sharad Ramanathan, I develop a probabilistic framework to identify cell types, infer lineage relationships and discover core gene networks controlling lineage decisions. Working with Sandeep Choubey and Sumin Jang, we infer the gene expression dynamics of
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26

Walton, David Brian. "Analysis of single-molecule kinesin assay data by hidden Markov model filtering." Diss., The University of Arizona, 2002. http://hdl.handle.net/10150/280221.

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Observations of the position of a microscopic bead attached to a single kinesin protein moving along a microtubule contains detailed information about the position of the kinesin as a function of time, although this information remains obscured because of the fluctuations of the bead. The theory of hidden Markov models suggests a possible theoretical framework to analyze these data with an explicit stochastic model describing the kinesin cycle and the attached bead. We model the mechanical cycle of kinesin using a discrete time Markov chain on a periodic lattice, representing the microtubule,
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Baugh, Evan H. "Predicting the Effects of Protein Variants using Structural Modeling, Large-Scale Data Integration, and Machine Learning." Thesis, New York University, 2017. http://pqdtopen.proquest.com/#viewpdf?dispub=10247644.

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<p> High-throughput sequencing technologies and new computational techniques for analyzing population genetics data are rapidly improving our understanding of disease susceptibility in humans and adaptation in a wide variety of organisms. These studies often discover nonsynonymous variation with large effects as even a single amino acid change can disrupt the folding, catalytic activity, and physical interactions of proteins. Current estimates predict that every human genome contains 10,000-11,000 nonsynonymous variations and, while we cannot currently characterize all this diversity experimen
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Stroian, Gabriela. "Optimized scanning procedures for 4D CT data acquisition in radiation therapy." Thesis, McGill University, 2005. http://digitool.Library.McGill.CA:80/R/?func=dbin-jump-full&object_id=84077.

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The goal of conformal radiation techniques is to improve local tumor control through dose escalation to target volumes while at the same time sparing surrounding healthy tissue. Accurate target volume delineation is essential in achieving this goal to avoid inadequate tumor coverage and/or irradiation of an unnecessary volume of healthy tissue. Respiratory motion is known to be the largest intra-fractional organ motion and the most significant source of uncertainty in treatment planning for chest lesions. A method to minimize effects of respiratory motion is to use four-dimensional (4D)
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Alizadeh, Mahdi. "Multi Spectral Data Analysis for Diagnostic Enhancement of Pediatric Spinal Cord Injury." Diss., Temple University Libraries, 2017. http://cdm16002.contentdm.oclc.org/cdm/ref/collection/p245801coll10/id/422530.

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Bioengineering<br>Ph.D.<br>A key challenge in the imaging of spinal cord injury (SCI) patients is the ability to accurately determine structural or functional abnormality as well as level and severity of injury. Over the years a substantial number of studies have addressed this issue, however most of them utilized qualitative analysis of the acquired imaging data. Quantitative analysis of patients with SCI is an important issue in both diagnostic and treatment planning. Hence in this work new multispectral magnetic resonance (MR) image based approaches were developed for high-throughput extrac
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Toglia, Patrick. "Analyzing the effects of Ca2+ dynamics on mitochondrial function in health and disease." Scholar Commons, 2018. https://scholarcommons.usf.edu/etd/7652.

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Mitochondria plays a crucial role in cells by maintaining energy metabolism and directing cell death mechanisms by buffering calcium (Ca2+ )from cytosol. Therefore, the Ca2+ overload of mitochondria due to the upregulated cytosolic Ca2+ , observed in many neurological disorders is hypothesized to be a key pathway leading to mitochondrial dysfunction and cell death. In particular, Ca2+ homeostasis disruptions due to Alzheimer’ s disease (AD)-causing presenilins (PS1/PS2) and oligomeric forms of β-amyloid peptides Aβ commonly found in AD patients are presumed to cause detrimental effects on the
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Marcou, Quentin. "Probabilistic approaches to the adaptive immune repertoire : a data-driven approach." Thesis, Sorbonne Paris Cité, 2017. http://www.theses.fr/2017USPCB029/document.

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Le système immunitaire de chaque individu doit faire face à des agressions répétées d'un environnement en constante évolution, constituant ainsi un nombre de menaces virtuellement infini. Afin de mener ce rôle à bien, le système immunitaire adaptatif s'appuie sur une énorme diversité de lymphocytes T et B. Chacune de ces cellules exhibe à sa surface un récepteur unique, créé aléatoirement via le processus de recombinaison V(D)J, et spécifique à un petit nombre de pathogènes seulement. La diversité initiale générée lors de ce processus de recombinaison est ensuite réduite par une étape de sélec
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Baker, Mark Ralph. "Late radiation effects in radiotherapy : changes in the biomechanical properties of normal skin, and surgically produced lesions after X irradiation measured in vivo and in vitro." Thesis, University of Oxford, 1993. http://ethos.bl.uk/OrderDetails.do?uin=uk.bl.ethos.335860.

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33

Marklund, Emil. "Bayesian inference in aggregated hidden Markov models." Thesis, Uppsala universitet, Institutionen för biologisk grundutbildning, 2015. http://urn.kb.se/resolve?urn=urn:nbn:se:uu:diva-243090.

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Single molecule experiments study the kinetics of molecular biological systems. Many such studies generate data that can be described by aggregated hidden Markov models, whereby there is a need of doing inference on such data and models. In this study, model selection in aggregated Hidden Markov models was performed with a criterion of maximum Bayesian evidence. Variational Bayes inference was seen to underestimate the evidence for aggregated model fits. Estimation of the evidence integral by brute force Monte Carlo integration theoretically always converges to the correct value, but it conver
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34

Iqbal, Sumaiya. "Machine Learning based Protein Sequence to (un)Structure Mapping and Interaction Prediction." ScholarWorks@UNO, 2017. http://scholarworks.uno.edu/td/2379.

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Proteins are the fundamental macromolecules within a cell that carry out most of the biological functions. The computational study of protein structure and its functions, using machine learning and data analytics, is elemental in advancing the life-science research due to the fast-growing biological data and the extensive complexities involved in their analyses towards discovering meaningful insights. Mapping of protein’s primary sequence is not only limited to its structure, we extend that to its disordered component known as Intrinsically Disordered Proteins or Regions in proteins (IDPs/IDRs
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Tiwari, Purushottam Babu. "Multimode Analysis of Nanoscale Biomolecular Interactions." FIU Digital Commons, 2015. http://digitalcommons.fiu.edu/etd/1923.

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Biomolecular interactions, including protein-protein, protein-DNA, and protein-ligand interactions, are of special importance in all biological systems. These interactions may occer during the loading of biomolecules to interfaces, the translocation of biomolecules through transmembrane protein pores, and the movement of biomolecules in a crowded intracellular environment. The molecular interaction of a protein with its binding partners is crucial in fundamental biological processes such as electron transfer, intracellular signal transmission and regulation, neuroprotective mechanisms, and reg
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East, Jackie R. "NATURAL PHENOMENA AS POTENTIAL INFLUENCE ON SOCIAL AND POLITICAL BEHAVIOR: THE EARTH’S MAGNETIC FIELD." UKnowledge, 2014. http://uknowledge.uky.edu/polysci_etds/11.

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Researchers use natural phenomena in a number of disciplines to help explain human behavioral outcomes. Research regarding the potential effects of magnetic fields on animal and human behavior indicates that fields could influence outcomes of interest to social scientists. Tests so far have been limited in scope. This work is a preliminary evaluation of whether the earth’s magnetic field influences human behavior it examines the baseline relationship exhibited between geomagnetic readings and a host of social and political outcomes. The emphasis on breadth of topical coverage in these statisti
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Huisman, Maximiliaan. "Vision Beyond Optics: Standardization, Evaluation and Innovation for Fluorescence Microscopy in Life Sciences." eScholarship@UMMS, 2019. https://escholarship.umassmed.edu/gsbs_diss/1017.

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Fluorescence microscopy is an essential tool in biomedical sciences that allows specific molecules to be visualized in the complex and crowded environment of cells. The continuous introduction of new imaging techniques makes microscopes more powerful and versatile, but there is more than meets the eye. In addition to develop- ing new methods, we can work towards getting the most out of existing data and technologies. By harnessing unused potential, this work aims to increase the richness, reliability, and power of fluorescence microscopy data in three key ways: through standardization, evaluat
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"Inference of biophysical states of microparticles from particle tracking data." Tulane University, 2019.

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archives@tulane.edu<br>Recent advancements in single particle tracking data have shown biophysical particles changing behavior within the field of mucosal immunology and intracellular transport: antibodies have been seen to hinder the the movement of individual virus particles, virions, in mucus, and cargo being actively transported within a cell travels at various velocities depending on unobservable biological machines, called molecular motors, responsible for transport, respectively. The exact mechanisms that govern these changes are unknown and further experimental investigation of these p
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Collingwood, Adam. "MODELING BIOPHYSICAL VARIABLES IN THE CANADIAN HIGH ARCTIC USING SYNTHETIC APERTURE RADAR DATA." Thesis, 2014. http://hdl.handle.net/1974/8618.

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The estimation or modeling of biophysical variables such as surface roughness, vegetation phytomass, and soil moisture in the Arctic is an important step towards understanding arctic energy fluxes, effects of changing climate, and hydrological patterns. This research uses Synthetic Aperture Radar (SAR) data, along with ancillary optical and environmental data, to create models that estimate these biophysical variables across different High Arctic landscapes, with the goal of applying the models across even larger areas. Field work was conducted at two High Arctic locations on Melville Island,
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Ang, Dale. "Biophysical and computational studies of biomacromolecular systems." Thesis, 2019. http://hdl.handle.net/1959.7/uws:57042.

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The binding of mono- and dinuclear platinum(II) complexes with both double-stranded and G-quadruplex DNA (QDNA) was explored using a combination of spectroscopic and computational techniques. The stabilising effects on G-quadruplex DNA were assessed and structure-activity relationships developed to guide the future development of QDNA selective complexes. Additionally, two pieces of software were developed, each able to process spectroscopic information. The first application calculates binding constants from various spectroscopic data including circular dichroism and fluorescence. The second
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Atkinson, DAVID M. "Modelling Biophysical Variables and Carbon Dioxide Exchange in Arctic Tundra Landscapes using High Spatial Resolution Remote Sensing Data." Thesis, 2012. http://hdl.handle.net/1974/7709.

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Vegetation community patterns and processes are indicators and integrators of climate. Recently, scientists have shown that climate change is most pronounced in circumpolar regions. Arctic ecosystems have traditionally been sequestering carbon and accumulating large carbon stores. However, given enhanced warming in the Arctic, the potential exists for intensified global climate change if these ecosystems transition from sinks to sources of atmospheric CO2. In the Mid and High Arctic, ecosystems exhibit extreme levels of spatial heterogeneity, particularly at landscape scales. High spatial-res
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Landmann, Tobias [Verfasser]. "A case study for Skukuza : estimating biophysical properties of fires using EOS-MODIS satellite data / vorgelegt von Tobias Landmann." 2003. http://d-nb.info/970359403/34.

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Vera, Claudia Cecilia Caro. "Analysis and spatial mapping of marine coastal ecosystem services: integrating biophysical and socioeconomic data at different spatial resolution levels." Doctoral thesis, 2020. http://hdl.handle.net/10316/95258.

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Tese no âmbito do Doutoramento em Biociências, ramo de especialização em Ecologia, apresentada ao Departamento de Ciências da Vida da Faculdade de Ciências e Tecnologia da Universidade de Coimbra.<br>Ecosystem services (ES) are defined as the final outcomes of the internal structures, processes, and functions derived from ecosystems that contribute to human well-being. It is a growing and valuable concept that supports the achievement of Sustainable Development Goals, facilitating connections between people and nature. Nevertheless, although ES have gained representation in science and policy
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Heinzel, Vanessa [Verfasser]. "Retrieval of biophysical parameters from multi-sensoral remote sensing data, assimilated into the crop growth model CERES-Wheat / vorgelegt von Vanessa Heinzel." 2008. http://d-nb.info/1000208192/34.

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Li, Pin. "Effects of carbon nanotubes on airway epithelial cells and model lipid bilayers : proteomic and biophysical studies." Thesis, 2014. http://hdl.handle.net/1805/5968.

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Indiana University-Purdue University Indianapolis (IUPUI)<br>Carbon nanomaterials are widely produced and used in industry, medicine and scientific research. To examine the impact of exposure to nanoparticles on human health, the human airway epithelial cell line, Calu-3, was used to evaluate changes in the cellular proteome that could account for alterations in cellular function of airway epithelia after 24 h exposure to 10 μg/mL and 100 ng/mL of two common carbon nanoparticles, singleand multi-wall carbon nanotubes (SWCNT, MWCNT). After exposure to the nanoparticles, label-free quantitative
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Breen, Barbara Anne Bollard. "Integrating social and biophysical data to develop and evaluate marine protected area planning at a local scale: the 1998 Cairns Area Plan of Management as a case study." Thesis, 2006. https://researchonline.jcu.edu.au/1310/1/01front.pdf.

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Use management in marine protected areas is a complex and often changing process, both because of political and legislative requirements and because of the diversity of user groups. It is therefore essential to have accurate and reliable information to guide development of the most appropriate management instruments within a given area. This thesis explores the challenge for marine protected area managers of making cost-effective use of scientific information in planning for reasonable use of the Great Barrier Reef Marine Park. Using the 1998 Cairns Area Plan of Management as a case study,
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Quazi, K. Hassan. "A Framework for Modelling Species-Specific Site Quality Index Based on Data Generated From Remote Sensing Imagery and a Process-Based Model." Thesis, 2008. http://hdl.handle.net/1882/1033.

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This Thesis presents a framework for modelling species-specific site quality index (SQI) at a spatial resolution of 250 m by integrating biophysical variables of growing degree days (GDD), soil water content (SWC), and incident photosynthetically active radiation (PAR) in descriptions of potential tree growth. Development of GDD maps is based on processing and blending remotely-sensed data acquired with the Moderate Resolution Imaging Spectroradiometer (MODIS) sensor on the Terra satellite and ETM+ sensor on Landsat-7 satellite at spatial resolutions of 250 m and 28.5 m. Descriptions of SWC ar
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van, Leeuwen Willem Jan Dirk. "Biophysical interpretation of spectral indices for semi-arid soil and vegetation types in Niger." 1995. http://etd.library.arizona.edu/etd/GetFileServlet?file=file:///data1/pdf/etd/azu_e9791_1995_93_sip1_w.pdf&type=application/pdf.

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Paulin, Hilary. "Pattern Recognition in Single Molecule Force Spectroscopy Data." Thesis, 2013. http://hdl.handle.net/10214/7466.

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We have developed an analytical technique for single molecule force spectroscopy (SMFS) data that avoids filtering prior to analysis and performs pattern recognition to identify distinct SMFS events. The technique characterizes the signal similarity between all curves in a data set and generates a hierarchical clustering tree, from which clusters can be identified, aligned, and examined to identify key patterns. This procedure was applied to alpha-lactalbumin (aLA) on polystyrene substrates with flat and nanoscale curvature, and bacteriorhodopsin (bR) adsorbed on mica substrates. Cluster patte
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"Serial Crystallography: Beyond Monte Carlo Data Analysis." Doctoral diss., 2016. http://hdl.handle.net/2286/R.I.40701.

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abstract: The superior brightness and ultra short pulse duration of X-ray free electron laser (XFEL) allows it to outrun radiation damage in coherent diffractive imaging since elastic scattering terminates before photoelectron cascades commences. This “diffract-before-destroy” feature of XFEL opened up new opportunities for biological macromolecule imaging and structure studies by breaking the limit to spatial resolution imposed by the maximum dose that is allowed before radiation damage. However, data collection in serial femto-second crystallography (SFX) using XFEL is affected by a bunch o
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