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Rozprawy doktorskie na temat „GENETIC FRAMEWORK”

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Data publikacji: 11 września 2023

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1

Wååg, Håkan. "Development of a Framework for Genetic Algorithms." Thesis, Jönköping University, JTH, Computer and Electrical Engineering, 2009. http://urn.kb.se/resolve?urn=urn:nbn:se:hj:diva-11537.

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<p>Genetic algorithms is a method of optimization that can be used tosolve many different kinds of problems. This thesis focuses ondeveloping a framework for genetic algorithms that is capable ofsolving at least the two problems explored in the work. Otherproblems are supported by allowing user-made extensions.The purpose of this thesis is to explore the possibilities of geneticalgorithms for optimization problems and artificial intelligenceapplications.To test the framework two applications are developed that look attwo distinct problems, both of which aim at demonstrating differentparts. The

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Dighe, Rahul. "Human pattern nesting strategies in a genetic algorithms framework." Thesis, Massachusetts Institute of Technology, 1995. http://hdl.handle.net/1721.1/36083.

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Berntsson, Lars Johan. "An adaptive framework for Internet-based distributed genetic algorithms." Thesis, Queensland University of Technology, 2006. https://eprints.qut.edu.au/16242/1/Johan_Berntsson_Thesis.pdf.

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Genetic Algorithms (GAs) are search algorithms inspired by genetics and natural selection, and have been used to solve difficult problems in many disciplines, including modelling, control systems and automation. GAs are generally able to find good solutions in reasonable time, however as they are applied to larger and harder problems they are very demanding in terms of computation time and memory. The Internet is the most powerful parallel and distributed computation environment in the world, and the idle cycles and memories of computers on the Internet have been increasingly recognized as a h

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Berntsson, Lars Johan. "An adaptive framework for Internet-based distributed genetic algorithms." Queensland University of Technology, 2006. http://eprints.qut.edu.au/16242/.

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Genetic Algorithms (GAs) are search algorithms inspired by genetics and natural selection, and have been used to solve difficult problems in many disciplines, including modelling, control systems and automation. GAs are generally able to find good solutions in reasonable time, however as they are applied to larger and harder problems they are very demanding in terms of computation time and memory. The Internet is the most powerful parallel and distributed computation environment in the world, and the idle cycles and memories of computers on the Internet have been increasingly recognized as a h

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5

Song, Yeunjoo E. "New Score Tests for Genetic Linkage Analysis in a Likelihood Framework." Case Western Reserve University School of Graduate Studies / OhioLINK, 2013. http://rave.ohiolink.edu/etdc/view?acc_num=case1354561219.

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Kumuthini, Judit. "Extraction of genetic network from microarray data using Bayesian framework." Thesis, Cranfield University, 2007. http://ethos.bl.uk/OrderDetails.do?uin=uk.bl.ethos.442547.

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Mittra, James. "Genetic information, life assurance, and the UK policy and regulatory framework." Thesis, University of Warwick, 2004. http://wrap.warwick.ac.uk/106450/.

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This thesis provides the first extensive sociological analysis of the genetics and life assurance debate in the UK. It uses data from original qualitative interviews, as well as various policy documents and reports, to investigate the likely implications of genetic information for life assurance provision, reveal the narrative strategies used by key stakeholders as they account for their concerns on the issue, and evaluate the efficacy of the policy and regulatory framework. It also attempts to evaluate the suitability of the citizens’ jury model as an alternative to existing decision-making p

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Parandekar, Amey V. "Development of a Decision Support Framework forIntegrated Watershed Water Quality Management and a Generic Genetic Algorithm Based Optimizer." NCSU, 1999. http://www.lib.ncsu.edu/theses/available/etd-19990822-032656.

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<p>PARANDEKAR, AMEY, VIJAY. Development of a Decision Support Framework for Integrated Watershed Water Quality Management and a Generic Genetic Algorithm Based Optimizer. (Under the direction of Dr. S. Ranji Ranjithan.)The watershed management approach is a framework for addressing water quality problems at a watershed scale in an integrated manner that considers many conflicting issues including cost, environmental impact and equity in evaluating alternative control strategies. This framework enhances the capabilities of current environmental analysis frameworks by the inclusion of additional

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9

Silva, Carlos H. "A Proposed Framework for Establishing Optimal Genetic Designsfor Estimating Narrow-sense Heritability." NCSU, 2000. http://www.lib.ncsu.edu/theses/available/etd-20000414-113213.

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<p> We develop a framework for establishing sample sizes in breeding plans, so that one is able to estimate narrow-sense heritability with smallest possible variance, for a given amount of effort. We call this an optimal genetic design. The framework allows one to compare the variances of estimators of narrow-sense heritability, when estimated from each one of the alternative plans under consideration, and does not require data simulation, but does require computer programming. We apply it to the study of a peanut (Arachis hypogaea) breading example, in order to determine the ideal number of p

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10

Aevan, Nadjib Danial. "MDO Framework for Design of Human PoweredPropellers using Multi-Objective Genetic Algorithm." Thesis, Linköpings universitet, Fluida och mekatroniska system, 2015. http://urn.kb.se/resolve?urn=urn:nbn:se:liu:diva-123626.

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This thesis showcases the challenges, downsides and advantages to building a MultiDisciplinary Optimization (MDO) framework to automate the generation of an efficientpropeller design built for lightly loaded operation, more specifically for humanpowered aircrafts. Two years ago, a human powered aircraft project was initiatedat Linköping University. With the help of several courses, various students performedconceptional design, calculated and finally manufactured a propeller bymeans of various materials and manufacturing techniques. The performance ofthe current propeller is utilized for bench

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11

Parandekar, Amey V. "Development of a decision support framework for integrated watershed water quality management and a Generic Genetic Algorithm Based Optimizer." Raleigh, NC : North Carolina State University, 1999. http://www.lib.ncsu.edu/etd/public/etd-492632279902331/etd.pdf.

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Lynch, Joshua, Karen Tang, Sambhawa Priya, et al. "HOMINID: a framework for identifying associations between host genetic variation and microbiome composition." OXFORD UNIV PRESS, 2017. http://hdl.handle.net/10150/626556.

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Recent studies have uncovered a strong effect of host genetic variation on the composition of host-associated microbiota. Here, we present HOMINID, a computational approach based on Lasso linear regression, that given host genetic variation and microbiome taxonomic composition data, identifies host single nucleotide polymorphisms (SNPs) that are correlated with microbial taxa abundances. Using simulated data, we show that HOMINID has accuracy in identifying associated SNPs and performs better compared with existing methods. We also show that HOMINID can accurately identify the microbial taxa t

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13

Voog, Justin C. "Defining a genetic framework for stem cell niche maintenance in the Drosophila testis." Diss., [La Jolla] : University of California, San Diego, 2009. http://wwwlib.umi.com/cr/ucsd/fullcit?p3365768.

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Thesis (Ph. D.)--University of California, San Diego, 2009.<br>Title from first page of PDF file (viewed Aug. 10, 2009). Available via ProQuest Digital Dissertations. Vita. Includes bibliographical references (p. 107-125).

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Silva, Carlos H. O. "A proposed framework for establishing optimal genetic designs for estimating narrow-sense heritability." Raleigh, NC : North Carolina State University, 2000. http://www.lib.ncsu.edu/etd/public/etd-8321114310051041/etd.pdf.

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15

Jang, Won-Hyouk. "Novel cost allocation framework for natural gas processes: methodology and application to plan economic optimization." Diss., Texas A&M University, 2004. http://hdl.handle.net/1969.1/368.

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Natural gas plants can have multiple owners for raw natural gas streams and processing facilities as well as for multiple products. Therefore, a proper cost allocation method is necessary for taxation of the profits from natural gas and crude oil as well as for cost sharing among gas producers. However, cost allocation methods most often used in accounting, such as the sales value method and the physical units method, may produce unacceptable or even illogical results when applied to natural gas processes. Wright and Hall (1998) proposed a new approach called the design benefit method (DBM),

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16

Naik, Apoorv. "Orchestra Framework: Protocol Design for Ad Hoc and Delay Tolerant Networks using Genetic Algorithms." Thesis, Virginia Tech, 2011. http://hdl.handle.net/10919/43409.

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Protocol designs targeted at a specific network scenario or performance metric appear promising on paper, but the complexity and cost of implementing and tuning a routing protocol from scratch presents a major bottleneck in the protocol design process. A unique framework called 'Orchestra` is proposed in the literature to support the testing and development of novel routing designs. The idea of the Orchestra framework is to create generic and reusable routing functional components which can be combined to create unique protocol designs customized for a specific performance metric or network se

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17

CAPORALE, NICOLO'. "A UNIFYING FRAMEWORK TO STUDY THE GENETIC AND ENVIRONMENTAL FACTORS SHAPING HUMAN BRAIN DEVELOPMENT." Doctoral thesis, Università degli Studi di Milano, 2020. http://hdl.handle.net/2434/697871.

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The development of human brain is a fascinating and complex process that still needs to be uncovered at the molecular resolution. Even though animal studies have revealed a lot of its unfolding, the fine regulation of cellular differentiation trajectories that characterizes humans has become only recently open to experimental tractability, thanks to the development of organoids, human cellular models that are able to recapitulate the spatiotemporal architecture of the brain in a 3D fashion. Here we first benchmarked human brain organoids at the level of transcriptomic and structural architectu

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18

Bonàs, Guarch Sílvia. "Implementation of a novel analytical framework for large-scale genetic data. Extending the genetic architecture of type 2 diabetes beyond common variants." Doctoral thesis, Universitat de Barcelona, 2017. http://hdl.handle.net/10803/402781.

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The major landmark in modern genomic and biological research has been the first survey of the entire human genome. On June 2000 the staging of Bill Clinton along with Craig Venter and Francis Collins extolled how genome science would impact our lives by revolutionizing diagnosis, prevention and treatment for a vast number of human diseases (Collins 2010). Since that, we underwent a breathtaking progress in genome science with the unique conjunction of the development of new technologies such as Next Generation Sequencing (NGS) or genotyping arrays (Collins 2010; Hofker et al. 2014) and extens

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Bowman, Kelly Eric. "Optimization Constrained CAD Framework with ISO-Performing Design Generator." Diss., CLICK HERE for online access, 2008. http://contentdm.lib.byu.edu/ETD/image/etd2599.pdf.

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McBride, Cameron D. "A Mathematical and Engineering Framework to Predict the Effect of Resource Sharing on Genetic Networks." Thesis, Massachusetts Institute of Technology, 2017. http://hdl.handle.net/1721.1/111712.

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Thesis: S.M., Massachusetts Institute of Technology, Department of Mechanical Engineering, 2017.<br>Cataloged from PDF version of thesis.<br>Includes bibliographical references (pages 73-76).<br>In this thesis, a framework is developed to investigate the effect of resource sharing on the performance of genetic networks. A model of a genetic system with shared resources for protein degradation is developed that captures resource sharing effects and is subsequently analyzed to discover ways in which this form of resource sharing effects genetic networks. It is shown that sharing of degradation r

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21

Morley, Mark S. "A framework for evolutionary optimization applications in water distribution systems." Thesis, University of Exeter, 2008. http://hdl.handle.net/10036/42400.

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The application of optimization to Water Distribution Systems encompasses the use of computer-based techniques to problems of many different areas of system design, maintenance and operational management. As well as laying out the configuration of new WDS networks, optimization is commonly needed to assist in the rehabilitation or reinforcement of existing network infrastructure in which alternative scenarios driven by investment constraints and hydraulic performance are used to demonstrate a cost-benefit relationship between different network intervention strategies. Moreover, the ongoing ope

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22

Ketenci, Ahmet. "Development Of A Grid-aware Master Worker Framework For Artificial Evolution." Master's thesis, METU, 2010. http://etd.lib.metu.edu.tr/upload/12612881/index.pdf.

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Genetic Algorithm (GA) has become a very popular tool for various kinds of problems, including optimization problems with wider search spaces. Grid search techniques are usually not feasible or ineffective at finding a solution, which is good enough. The most computationally intensive component of GA is the calculation of the goodness (fitness) of candidate solutions. However, since the fitness calculation of each individual does not depend each other, this process can be parallelized easily. The easiest way to reach high amounts of computational power is using grid. Grids are composed of mult

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Ugwu, Onuegbu O. "A decision support framework for resource optimisation and management using hybrid genetic algorithms : application in earthworks." Thesis, London South Bank University, 1999. http://ethos.bl.uk/OrderDetails.do?uin=uk.bl.ethos.297926.

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Nguyen, Peter H. T. (Peter Hung Trung). "Fine-Mapping Tools : an interactive framework for dissecting disease-associated genetic loci with functional genomics data." Thesis, Massachusetts Institute of Technology, 2017. http://hdl.handle.net/1721.1/113121.

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Thesis: M. Eng., Massachusetts Institute of Technology, Department of Electrical Engineering and Computer Science, 2017.<br>This electronic version was submitted by the student author. The certified thesis is available in the Institute Archives and Special Collections.<br>Cataloged from student-submitted PDF version of thesis.<br>Includes bibliographical references (pages 57-58).<br>Fine mapping causal SNPs from GWAS summary statistics is hard. Although many frame- works exist to support fine mapping, some of which leverage epigenomic contexts to increase predictive power, they fail to provid

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COSTANZO, STEFANO. "An Evolutionary Multi-Objective Optimization Framework for Bi-level Problems." Doctoral thesis, Università degli Studi di Trieste, 2017. http://hdl.handle.net/11368/2908206.

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Genetic algorithms (GA) are stochastic optimization methods inspired by the evolutionist theory on the origin of species and natural selection. They are able to achieve good exploration of the solution space and accurate convergence toward the global optimal solution. GAs are highly modular and easily adaptable to specific real-world problems which makes them one of the most efficient available numerical optimization methods. This work presents an optimization framework based on the Multi-Objective Genetic Algorithm for Structured Inputs (MOGASI) which combines modules and operators with spec

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Kariyawasam, G. S. Kanchana. "Developing a Regulatory Framework for the Protection of Intellectual Property Rights in Plant Genetic Resources in Sri Lanka." Thesis, Griffith University, 2006. http://hdl.handle.net/10072/365888.

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This thesis represents a critical examination of the intellectual property protection over biogenetic resources in Sri Lanka. While Sri Lanka is obliged to comply with international obligations, consideration needs to be given to the maintenance of a sustainable agricultural framework. The extension of intellectual property rights to agriculture is a significant issue that confronts Sri Lanka. The challenge for Sri Lanka is to ensure that these rights are implemented in the domestic context in an appropriate manner.<br>Thesis (PhD Doctorate)<br>Doctor of Philosophy (PhD)<br>Griffith Law School

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CANNAS, LAURA MARIA. "A framework for feature selection in high-dimensional domains." Doctoral thesis, Università degli Studi di Cagliari, 2013. http://hdl.handle.net/11584/266105.

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The introduction of DNA microarray technology has lead to enormous impact in cancer research, allowing researchers to analyze expression of thousands of genes in concert and relate gene expression patterns to clinical phenotypes. At the same time, machine learning methods have become one of the dominant approaches in an effort to identify cancer gene signatures, which could increase the accuracy of cancer diagnosis and prognosis. The central challenges is to identify the group of features (i.e. the biomarker) which take part in the same biological process or are regulated by the same mechanism

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Li, Miaoxin, and 李淼新. "Development of a bioinformatics and statistical framework to integratebiological resources for genome-wide genetic mapping and itsapplications." Thesis, The University of Hong Kong (Pokfulam, Hong Kong), 2009. http://hub.hku.hk/bib/B43572030.

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Frithiof, Fredrik. "A framework for designing a modular muffler system by global optimization." Thesis, KTH, Optimeringslära och systemteori, 2015. http://urn.kb.se/resolve?urn=urn:nbn:se:kth:diva-169650.

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When creating a muffler to be installed on a noise generating machine, the design parameters as well as the placements of sound attenuating elements has to be optimized in order to minimize the sound coming out of the equipage. This is exemplified in a small project task for students of a basic course in optimization at KTH. The task is however flawed, since both the way in which the optimization problem is formed is overly simplistic and the algorithm used to solve the problem, fmincon, does not cope well with the mathematical complexity of the model, meaning it gets stuck in a local optimum

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Teske, Alexander. "Automated Risk Management Framework with Application to Big Maritime Data." Thesis, Université d'Ottawa / University of Ottawa, 2018. http://hdl.handle.net/10393/38567.

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Risk management is an essential tool for ensuring the safety and timeliness of maritime operations and transportation. Some of the many risk factors that can compromise the smooth operation of maritime activities include harsh weather and pirate activity. However, identifying and quantifying the extent of these risk factors for a particular vessel is not a trivial process. One challenge is that processing the vast amounts of automatic identification system (AIS) messages generated by the ships requires significant computational resources. Another is that the risk management process partially r

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Cott, Andrew. "An examination of analysis and optimization procedures within a PBSD framework." Manhattan, Kan. : Kansas State University, 2009. http://hdl.handle.net/2097/2318.

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Bamba, Aliyu Siise Abdullah. "Beyond landraces : framework for the genetic improvement of Bambara groundnut (Vigna subterranea (L.) Verdc.) for global food security." Thesis, University of Nottingham, 2017. http://eprints.nottingham.ac.uk/38865/.

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The world over the past decades has gone through some steady bio-physical and socio-demographical changes. Specifically, climate change (leading to increased temperature, salinization, drought etc.), population explosion, urbanization and migration (especially, rural to urban migration), among others have resulted in a new set of global challenges. In this regard, the threat to global food security has been recognised as one of the key challenges facing humanity in this 21st century. The Green Revolution of the 1960s was a major success in safeguarding global food security and still remains re

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Botero, Oscar. "Heterogeneous RFID framework design, analysis and evaluation." Phd thesis, Institut National des Télécommunications, 2012. http://tel.archives-ouvertes.fr/tel-00714120.

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The Internet of Things paradigm establishes interaction and communication with a huge amount of actors. The concept is not a new-from-scratch one; actually, it combines a vast number of technologies and protocols and surely adaptations of pre-existing elements to offer new services and applications. One of the key technologies of the Internet of Things is the Radio Frequency Identification just abbreviated RFID. This technology proposes a set of solutions that allow tracking and tracing persons, animals and practically any item wirelessly. Considering the Internet of Things concept, multiple t

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Hanlon, Nicholas P. "Simulation Research Framework with Embedded Intelligent Algorithms for Analysis of Multi-Target, Multi-Sensor, High-Cluttered Environments." University of Cincinnati / OhioLINK, 2016. http://rave.ohiolink.edu/etdc/view?acc_num=ucin1460730865.

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Papadopoulou, Frantzeska. "Opening Pandora's Box : Exploring Flexibilities and Alternatives for Protecting Traditional Knowledge and Genetic Resources under the Intellectual Property Framework." Doctoral thesis, Stockholms universitet, Juridiska institutionen, 2014. http://urn.kb.se/resolve?urn=urn:nbn:se:su:diva-100568.

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What happens when resources get valuable and scarce? How is Intellectual Property dealing with market failures related to sub-patentable innovation or purely traditional knowledge with interesting applications? The protection of traditional knowledge and genetic resources (TKGR) has been one of the major modern challenges in international IP law. The entry into force of the Convention on Biological Diversity (CBD) and its implementation in national legislation has created more questions than the ones it answered. The objective of this dissertation is to assist in the evaluation of current nati

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Li, Miaoxin. "Development of a bioinformatics and statistical framework to integrate biological resources for genome-wide genetic mapping and its applications." Click to view the E-thesis via HKUTO, 2009. http://sunzi.lib.hku.hk/hkuto/record/B43572030.

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Agulló, Brotons Jonás César. "Studies on ecology, reproductive biology and genetic diversity of Helianthemum caput-felis Boiss. (Cistaceae). A framework for its conservation." Doctoral thesis, Universidad de Alicante, 2016. http://hdl.handle.net/10045/70958.

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Crain, Stacie M. "Designer Genes: An analysis of a theoretical framework for policy proposals in relation to genetic engineering as a reproductive technology." Thesis, Virginia Tech, 2003. http://hdl.handle.net/10919/44317.

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With the new capabilities of genetic engineering and such biotechnologies, come added considerations for policy makers. If gene therapy (or even embryo selection) becomes common practice, we must look not only to creating policies that protect the interests of individuals in the legal and social realms, but consideration must also be given to the equality of opportunity in the genetic sense. This additional level brings with it much significance; one can argue that financial disparity is at least theoretically surmountable but it is difficult to account for intentional genetic alterations tha

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Cooper, Lisa Suzanne. "Population genomics of pollinating fig wasps and their natural enemies." Thesis, University of Edinburgh, 2018. http://hdl.handle.net/1842/28954.

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The advent of next generation sequencing technologies has had a major impact on inference methods for population genetics. For example, community ecology studies can now assess species interactions using population history parameters estimated from genomic scale data. Figs and their pollinating fig wasps are obligate mutualists thought to have coevolved for some 75 million years. This relationship, along with additional interactions with many species of non-pollinating fig wasps (NPFW), makes this system an excellent model for studying multi-trophic community interactions. A common way of inve

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Shakya, Siddhartha. "DEUM : a framework for an estimation of distribution algorithm based on Markov random fields." Thesis, Robert Gordon University, 2006. http://hdl.handle.net/10059/39.

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Estimation of Distribution Algorithms (EDAs) belong to the class of population based optimisation algorithms. They are motivated by the idea of discovering and exploiting the interaction between variables in the solution. They estimate a probability distribution from population of solutions, and sample it to generate the next population. Many EDAs use probabilistic graphical modelling techniques for this purpose. In particular, directed graphical models (Bayesian networks) have been widely used in EDA. This thesis proposes an undirected graphical model (Markov Random Field (MRF)) approach to e

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Sichtig, Heike. "The SGE framework discovering spatio-temporal patterns in biological systems with spiking neural networks (S), a genetic algorithm (G) and expert knowledge (E) /." Diss., Online access via UMI:, 2009.

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Thesis (Ph. D.)--State University of New York at Binghamton, Thomas J. Watson School of Engineering and Applied Science, Department of Bioengineering, Biomedical Engineering, 2009.<br>Includes bibliographical references.

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Warshawsky, David. "A system of systems flexibility framework: A method for evaluating designs that are subjected to disruptions." Diss., Georgia Institute of Technology, 2015. http://hdl.handle.net/1853/54277.

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As systems become more interconnected, the focus of engineering design must shift to include consideration for systems of systems (SoS) e ects. As the focus shifts from singular systems to systems of systems, so too must the focus shift from performance based analysis to an evaluation method that accounts for the tendency of such large scale systems to far outlive their original operational environments and continually evolve in order to adapt to the changes. It is nearly impossible to predict the nature of these changes, therefore the rst focus of this thesis is the measurement of the exibi

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Kuti, Temitope Babatunde. "Towards effective multilateral protection of traditional knowledge within the global intellectual property framework." University of the Western Cape, 2017. http://hdl.handle.net/11394/6339.

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Magister Legum - LLM (Mercantile and Labour Law)<br>Traditional Knowledge (TK) has previously been considered a 'subject' in the public domain, unworthy of legal protection. However, the last few decades have witnessed increased discussions on the need to protect the knowledge of indigenous peoples for their economic sustenance, the conservation of biodiversity and modern scientific innovation. Questions remain as to how TK can best be protected through existing, adapted or sui generis legal frameworks. Based on an examination of the formal knowledge-protection mechanisms (i.e. the exist

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Kuti, Temitope Babatunde. "Towards effective Multilateral protection of traditional knowledge within the global intellectual property framework." University of the Western Cape, 2018. http://hdl.handle.net/11394/6245.

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Magister Legum - LLM (Mercantile and Labour Law)<br>Traditional Knowledge (TK) has previously been considered a 'subject' in the public domain, unworthy of legal protection. However, the last few decades have witnessed increased discussions on the need to protect the knowledge of indigenous peoples for their economic sustenance, the conservation of biodiversity and modern scientific innovation. Questions remain as to how TK can best be protected through existing, adapted or sui generis legal frameworks. Based on an examination of the formal knowledge-protection mechanisms (i.e. the existing in

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Puncher, Gregory Neils <1980&gt. "Assessment of the population structure and temporal changes in spatial dynamics and genetic characteristics of the Atlantic bluefin tuna under a fishery independent framework." Doctoral thesis, Alma Mater Studiorum - Università di Bologna, 2015. http://amsdottorato.unibo.it/7227/4/Puncher_Gregory_Neils_tesi.pdf.

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As a large and long-lived species with high economic value, restricted spawning areas and short spawning periods, the Atlantic bluefin tuna (BFT; Thunnus thynnus) is particularly susceptible to over-exploitation. Although BFT have been targeted by fisheries in the Mediterranean Sea for thousands of years, it has only been in these last decades that the exploitation rate has reached far beyond sustainable levels. An understanding of the population structure, spatial dynamics, exploitation rates and the environmental variables that affect BFT is crucial for the conservation of the species. The a

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Puncher, Gregory Neils <1980&gt. "Assessment of the population structure and temporal changes in spatial dynamics and genetic characteristics of the Atlantic bluefin tuna under a fishery independent framework." Doctoral thesis, Alma Mater Studiorum - Università di Bologna, 2015. http://amsdottorato.unibo.it/7227/.

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As a large and long-lived species with high economic value, restricted spawning areas and short spawning periods, the Atlantic bluefin tuna (BFT; Thunnus thynnus) is particularly susceptible to over-exploitation. Although BFT have been targeted by fisheries in the Mediterranean Sea for thousands of years, it has only been in these last decades that the exploitation rate has reached far beyond sustainable levels. An understanding of the population structure, spatial dynamics, exploitation rates and the environmental variables that affect BFT is crucial for the conservation of the species. The a

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Ayo, Babatope S. "Data-driven flight path rerouting during adverse weather: Design and development of a passenger-centric model and framework for alternative flight path generation using nature inspired techniques." Thesis, University of Bradford, 2018. http://hdl.handle.net/10454/17387.

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A major factor that negatively impacts flight operations globally is adverse weather. To reduce the impact of adverse weather, avoidance procedures such as finding an alternative flight path can usually be carried out. However, such procedures usually introduce extra costs such as flight delay. Hence, there exists a need for alternative flight paths that efficiently avoid adverse weather regions while minimising costs. Existing weather avoidance methods used techniques, such as Dijkstra’s and artificial potential field algorithms that do not scale adequately and have poor real time performanc

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Botha, Marthinus Ignatius. "Modelling and simulation framework incorporating redundancy and failure probabilities for evaluation of a modular automated main distribution frame." Diss., University of Pretoria, 2013. http://hdl.handle.net/2263/33345.

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Maintaining and operating manual main distribution frames is labour-intensive. As a result, Automated Main Distribution Frames (AMDFs) have been developed to alleviate the task of maintaining subscriber loops. Commercial AMDFs are currently employed in telephone exchanges in some parts of the world. However, the most significant factors limiting their widespread adoption are costeffective scalability and reliability. Therefore, an impelling incentive is provided to create a simulation framework in order to explore typical implementations and scenarios. Such a framework will allow the eva

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Bukáček, Jan. "Implementace evolučního expertního systému." Master's thesis, Vysoké učení technické v Brně. Fakulta elektrotechniky a komunikačních technologií, 2010. http://www.nusl.cz/ntk/nusl-218352.

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This thesis is focused on working up evolutionals and genetics algorithms issues Especially for multiobjective algorithms VEGA, SPEA and NSGA – II. Thereinafter one of FrameWork working with genetics algorithms namely WWW NIMBUS. From this mentioned algorithms was selected VEGA algorithm for implementation in JAVA to preselected problem. Thereby problem is choice thick columns of profile according to predetermined criteria. Selected algorithm works on division of population into several groups and each group evaluates the resulting fitness function. Here is a sample implementation of this algo

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Gholizadeh, Tayyar Shadan. "An optimization-based framework for concurrent planning of multiple projects and supply chain : application on building thermal renovation projects." Thesis, Ecole nationale des Mines d'Albi-Carmaux, 2017. http://www.theses.fr/2017EMAC0006/document.

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Le contexte d’application de cette recherche a été le projet CRIBA. CRIBA vise à industrialiser une solution intégrée de rénovation et d’isolation de grands bâtiments. De ce fait, une part importante de la valeur ajoutée est transférée des chantiers de rénovation vers des usines de fabrications devant être synchronisées avec les chantiers. La planification est l'une des étapes importantes de la gestion de projets. S’adaptant à une organisation, elle vise une réalisation optimale en considérant les facteurs de temps, coût, qualité ainsi que l’affectation efficace des ressources. Cette affectati

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