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Sequence variation of the amelogenin gene on the Y-chromosome / by Irma FerreiraFerreira, Irma January 2010 (has links)
The accurate determination of gender of biological samples has valuable applications in
medical and forensic investigations. Gender determination based on length variations in
the X-Y homologous amelogenin gene, is part of most commercial multiplex DNA profiling
kits. The first report of a failure of the amelogenin sex test was in 1998 when two normal
males were typed as female. Subsequently, several amelogenin Y (AMELY) negative
males have been reported. This study represents the first report of this phenomenon in the
black South African population.
This study determined the size of the Y-chromosome deletion that resulted in the failure of
the amelogenin sex test in two black South African AMELY-negative males by typing
specific DNA markers surrounding the amelogenin locus. Through deletion size and
Y-chromosome microsatellite haplotypes, the relationship between the samples was
investigated. The samples were sequenced at the amelogenin gene and typed for thirteen
sites on the short arm of the Y-chromosome. In order to determine the Y-chromosome
haplotypes, eleven Y-chromosome microsatellite markers were typed.
These samples had the same size deletion of approximately 3 Mb. The Y-chromosome
haplotypes indicated that these were probably independent events. The frequency of
AMELY-negative males is rare in this population sample of 8,344 individuals, with a
frequency of 0.065% in the black South African sample population. Notwithstanding, tests
performed for detecting the presence of male DNA based on the presence of the
amelogenin gene alone should be reconsidered, as this study confirms that these
deletions do occur in the African population. The impact of the results generated in this
study on the medical and forensic practise of DNA testing is significant. / Thesis (Ph.D. (Biochemistry))--North-West University, Potchefstroom Campus, 2011.
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Applying tree knapsack approaches to general network design : a case study / T. BaitshenyetsiBaitshenyetsi, Tumo January 2010 (has links)
There are many practical decision problems that fall into the category of network flow problems: numerous examples of applications can be found in areas such as telecommunications, logistics, distributions, engineering, computer science and so on. One of the most popular and valuable tools to solve network flow problems of a topological nature is the use of linear programming models. An important extension of these models is that of integer programming models that deal with problems where some, or all, of the variables are required to assume integer variables. A significant application in this class of problems is the knapsack problem that arises in different contexts such as loading containers in aircraft or satisfying the demand for various lengths of cloth which must be cut from fixed length bolts of fabric.
In this study, the feasibility of representing a network flow model in a tree network model and subsequently solving it using a tree knapsack approach is investigated. To compare and validate the proposed technique, a specific case study was chosen from the literature that can be used as a basis for the research project. The said study was an oil pipeline design problem, addressed by Brimberg et al. (2003). This focuses on the optimal design of an oil pipeline network for the South Gabon oil field in Africa. The objective was to reduce oil transportation costs to a major port. Following an overview of different network flow and knapsack models, an overview of the said matter is presented. A description of the proposed tree knapsack approach and the application of this approach to the given problem is given. Results have indicated that it is feasible to apply a tree knapsack approach to solve network flow problems. / Thesis (M.Sc. (Computer Science))--North-West University, Potchefstroom Campus, 2011.
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Sequence variation of the amelogenin gene on the Y-chromosome / by Irma FerreiraFerreira, Irma January 2010 (has links)
The accurate determination of gender of biological samples has valuable applications in
medical and forensic investigations. Gender determination based on length variations in
the X-Y homologous amelogenin gene, is part of most commercial multiplex DNA profiling
kits. The first report of a failure of the amelogenin sex test was in 1998 when two normal
males were typed as female. Subsequently, several amelogenin Y (AMELY) negative
males have been reported. This study represents the first report of this phenomenon in the
black South African population.
This study determined the size of the Y-chromosome deletion that resulted in the failure of
the amelogenin sex test in two black South African AMELY-negative males by typing
specific DNA markers surrounding the amelogenin locus. Through deletion size and
Y-chromosome microsatellite haplotypes, the relationship between the samples was
investigated. The samples were sequenced at the amelogenin gene and typed for thirteen
sites on the short arm of the Y-chromosome. In order to determine the Y-chromosome
haplotypes, eleven Y-chromosome microsatellite markers were typed.
These samples had the same size deletion of approximately 3 Mb. The Y-chromosome
haplotypes indicated that these were probably independent events. The frequency of
AMELY-negative males is rare in this population sample of 8,344 individuals, with a
frequency of 0.065% in the black South African sample population. Notwithstanding, tests
performed for detecting the presence of male DNA based on the presence of the
amelogenin gene alone should be reconsidered, as this study confirms that these
deletions do occur in the African population. The impact of the results generated in this
study on the medical and forensic practise of DNA testing is significant. / Thesis (Ph.D. (Biochemistry))--North-West University, Potchefstroom Campus, 2011.
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Applying tree knapsack approaches to general network design : a case study / T. BaitshenyetsiBaitshenyetsi, Tumo January 2010 (has links)
There are many practical decision problems that fall into the category of network flow problems: numerous examples of applications can be found in areas such as telecommunications, logistics, distributions, engineering, computer science and so on. One of the most popular and valuable tools to solve network flow problems of a topological nature is the use of linear programming models. An important extension of these models is that of integer programming models that deal with problems where some, or all, of the variables are required to assume integer variables. A significant application in this class of problems is the knapsack problem that arises in different contexts such as loading containers in aircraft or satisfying the demand for various lengths of cloth which must be cut from fixed length bolts of fabric.
In this study, the feasibility of representing a network flow model in a tree network model and subsequently solving it using a tree knapsack approach is investigated. To compare and validate the proposed technique, a specific case study was chosen from the literature that can be used as a basis for the research project. The said study was an oil pipeline design problem, addressed by Brimberg et al. (2003). This focuses on the optimal design of an oil pipeline network for the South Gabon oil field in Africa. The objective was to reduce oil transportation costs to a major port. Following an overview of different network flow and knapsack models, an overview of the said matter is presented. A description of the proposed tree knapsack approach and the application of this approach to the given problem is given. Results have indicated that it is feasible to apply a tree knapsack approach to solve network flow problems. / Thesis (M.Sc. (Computer Science))--North-West University, Potchefstroom Campus, 2011.
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An optimisation approach to improve the throughput in wireless mesh networks through network coding / van der Merwe C.Van der Merwe, Corna January 2011 (has links)
In this study, the effect of implementing Network Coding on the aggregated throughput in Wireless
Mesh Networks, was examined. Wireless Mesh Networks (WMNs) are multiple hop wireless networks,
where routing through any node is possible. The implication of this characteristic, is that messages
flow across the points where it would have been terminated in conventional wireless networks. User
nodes in conventional wireless networks only transmit and receive messages from an Access Point
(AP), and discard any messages not intended for them.
The result is an increase in the volume of network traffic through the links of WMNs. Additionally,
the dense collection of multiple RF signals propagating through a shared wireless medium, contributes
to the situation where the links become saturated at levels below their capacity. The need exists to
examine methods that will improve the utilisation of the shared wireless medium in WMNs.
Network Coding is a coding and decoding technique at the network level of the OSI stack, aimed to
improve the boundaries of saturated links. The technique implies that the bandwidth is simultaneously
shared amongst separate message flows, by combining these flows at common intermediate nodes.
The number of transmissions needed to convey information through the network, is decreased by
Network Coding. The result is in an improvement of the aggregated throughput.
The research approach followed in this dissertation, includes the development of a model that
investigates the aggregated throughput performance of WMNs. The scenario of the model, followed a
typical example of indoors WMN implementations. Therefore, the physical environment representation
of the network elements, included an indoors log–distance path loss channel model, to account for the
different effects such as: power absorption through walls; and shadowing.
Network functionality in the model was represented through a network flow programming problem.
The problem was concerned with determining the optimal amount of flow represented through the
links of the WMN, subject to constraints pertaining to the link capacities and mass balance at each
node. The functional requirements of the model stated that multiple concurrent sessions were to
be represented. This condition implied that the network flow problem had to be a multi–commodity
network flow problem.
Additionally, the model requirements stated that each session of flow should remain on a single path.
This condition implied that the network flow problem had to be an integer programming problem.
Therefore, the network flow programming problem of the model was considered mathematically
equivalent to a multi–commodity integer programming problem. The complexity of multi–commodity
integer programming problems is NP–hard. A heuristic solving method, Simulated Annealing, was implemented to solve the goal function represented by the network flow programming problem of the model.
The findings from this research provide evidence that the implementation of Network Coding in
WMNs, nearly doubles the level of the calculated aggregated throughput values. The magnitude of
this throughput increase, can be further improved by additional manipulation of the network traffic
dispersion. This is achieved by utilising link–state methods, rather than distance vector methods, to
establish paths for the sessions of flow, present in the WMNs. / Thesis (M.Ing. (Computer and Electronical Engineering))--North-West University, Potchefstroom Campus, 2012.
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An optimisation approach to improve the throughput in wireless mesh networks through network coding / van der Merwe C.Van der Merwe, Corna January 2011 (has links)
In this study, the effect of implementing Network Coding on the aggregated throughput in Wireless
Mesh Networks, was examined. Wireless Mesh Networks (WMNs) are multiple hop wireless networks,
where routing through any node is possible. The implication of this characteristic, is that messages
flow across the points where it would have been terminated in conventional wireless networks. User
nodes in conventional wireless networks only transmit and receive messages from an Access Point
(AP), and discard any messages not intended for them.
The result is an increase in the volume of network traffic through the links of WMNs. Additionally,
the dense collection of multiple RF signals propagating through a shared wireless medium, contributes
to the situation where the links become saturated at levels below their capacity. The need exists to
examine methods that will improve the utilisation of the shared wireless medium in WMNs.
Network Coding is a coding and decoding technique at the network level of the OSI stack, aimed to
improve the boundaries of saturated links. The technique implies that the bandwidth is simultaneously
shared amongst separate message flows, by combining these flows at common intermediate nodes.
The number of transmissions needed to convey information through the network, is decreased by
Network Coding. The result is in an improvement of the aggregated throughput.
The research approach followed in this dissertation, includes the development of a model that
investigates the aggregated throughput performance of WMNs. The scenario of the model, followed a
typical example of indoors WMN implementations. Therefore, the physical environment representation
of the network elements, included an indoors log–distance path loss channel model, to account for the
different effects such as: power absorption through walls; and shadowing.
Network functionality in the model was represented through a network flow programming problem.
The problem was concerned with determining the optimal amount of flow represented through the
links of the WMN, subject to constraints pertaining to the link capacities and mass balance at each
node. The functional requirements of the model stated that multiple concurrent sessions were to
be represented. This condition implied that the network flow problem had to be a multi–commodity
network flow problem.
Additionally, the model requirements stated that each session of flow should remain on a single path.
This condition implied that the network flow problem had to be an integer programming problem.
Therefore, the network flow programming problem of the model was considered mathematically
equivalent to a multi–commodity integer programming problem. The complexity of multi–commodity
integer programming problems is NP–hard. A heuristic solving method, Simulated Annealing, was implemented to solve the goal function represented by the network flow programming problem of the model.
The findings from this research provide evidence that the implementation of Network Coding in
WMNs, nearly doubles the level of the calculated aggregated throughput values. The magnitude of
this throughput increase, can be further improved by additional manipulation of the network traffic
dispersion. This is achieved by utilising link–state methods, rather than distance vector methods, to
establish paths for the sessions of flow, present in the WMNs. / Thesis (M.Ing. (Computer and Electronical Engineering))--North-West University, Potchefstroom Campus, 2012.
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