The healing process is an attractive topic in biology and medicine. There are two types of wound healing - in embryos and in adults. In the case of embryonic wound healing the whole process is simplified and accelerated. An inflammatory reaction typical for adult healing is eliminated and the wound is healed without scars. Better understanding of embryonic wound healing could lead to more effective treatment of injuries, burns and chronic wounds in human population. The studying of molecular mechanisms in the healing process is also meaningful in the context of understanding the cancer regulation. The wound healing could be compared with embryonic development in many ways. The body's axes are essential for a spatial activation of genes involved in development. Our hypotesis was that the axis are also important for wound healing. It has been suggested that the cell's polarity and motility depends whether the wound is vertical or horizontal. There are also connections between wound healing and cancer development. One of them is the degradation of the basement membrane (BM) and extracellular matrix (ECM). The process of degradation is catalyzed by the coordinated action of several classes of enzymes. Some of them - matrix metalloproteinases (MMP) and their role in embryonic wound healing have been...

Enhancement of QoS in PS network as 5G communication network is non trivial endeavour which faces a host of new challenges beyond 3G and 4G communication networks. The number of nodes, the homogeneity of the access technologies, the conflicting network management objectives, resource usage minimization, and the division between limited physical resources and elastic virtual resources is driving a complete change in the vision and methodologies for efficient management of the available network resources. QoS is the measure of the reliability and performance of the networks' nodes and links, particularly as perceived by the end users of the services and application that are transported via PS network. Furthermore, QoS is a composite metric as it based on a number of multiple factors, which indicate the E2E characteristics and performance of the network condition, applications and services. Hence, reductions or improvements in the QoS level can brought about through a number of combined factors. This thesis tries to introduce a vision of Quality of Service (QoS) enhancement and management based on the 5th generation network requirements and solutions by: Firstly: Proposing a traffic flow management policy, which allocates and organises Machine Type Communication (MTC) traffic flow's network resources sharing within Evolved Packet System (EPS), with an access element as a Wireless Sensor Network (WSN) gateway for providing an overlaying access channel between the Machine Type Devices (MTDs) and EPS. This proposal addresses the effect and interaction in the heterogeneity of applications, services and terminal devices and the related QoS issues among them. The introduced work in this proposal overcomes the problems of network resource starvation by preventing deterioration of network performance. The scheme is validated through simulation, which indicates the proposed traffic flow management policy outperforms the current traffic management policy. Specifically, simulation results show that the proposed model achieves an enhancement in QoS performance for the MTC traffic flows, including a decrease of 99.45% in Packet Loss Rate (PLR), a decrease of 99.89% in packet End to End (E2E) delay, a decrease of 99.21% in Packet Delay Variation (PDV). Furthermore, it retains the perceived Quality of Experience (QoE) of the real time application users within high satisfaction levels, such as the Voice over Long Term Evolution (VoLTE) service possessing a Mean Opinion Score (MOS)of 4.349 and enhancing the QoS of a video conference service within the standardised values of a 3GPP body, with a decrease of 85.28% in PLR, a decrease of 85% in packet E2E delay and a decrease of 88.5% in PDV. Secondly: Proposing an approach for allocating existing 4G installed network radio access nodes to multiple Base Band Unit (BBU) pools, which is proposed to deploy 5G Cloud-Radio Access Network (C-RAN) and improve the offered Network QoS (NQoS). The proposed approach involves performing radio access nodes clustering based on the Particle Swarm Optimization (PSO) algorithm, model selection Bayesian Information Criterion (BIC), Measure of spread technique and Voronoi tessellation. The proposed scheme is used to consider a Dynamic C-RAN (DC-RAN) operation, that adaptively adjusts the main Radio Remote Head (RRH) coverage range according to the traffic load requirement as well as considering energy saving. The numerical results of the approach show that the optimized partition of the proposed network model is 41 BBU pools, with an average density of RRHs per pool area, which matches the primary average density of the radio access nodes per network area. Thirdly: Developing mathematical framework that investigates the Power Consumption (PC) profile for the interaction of Internet of Thing (IoT) Application QoS (AQoS) with NQoS in wireless Software Defined Network (SDN) as SDN for WIreless SEnsor network (SDN-WISE). This profile model offers flexibility for managing the structure of the Machine to Machine (M2M) system in IoT. It enables controlling the provided NQoS, precisely the achieved PHY layer transmission link throughput, combined with the AQoS, represented by IoT data stream payload size. The investigation is composed of two essential SDN traffic parts, they are control plane signalling and data plane traffic PCs and their relevance with QoS. The results show that 98% PC in data plane companion with a control plane PC of 2% in overall of the proposed system power, these figures were achieved with control plane signalling Transmission Time Interval (TTI) of 5 sec and a maximum data plane payload size of 92 Bytes as a worst case scenario.

With the upcoming release of the fifth generation of cellular networks, 5G, it is expected to be a lot more connected devices. As a consequence, the importance of the capacity of the networks is increased, especially the radio access network (RAN), which will be changed a lot from previous generations. The best method to ensure a RAN has enough capacity for its targeted area is a simulation, and therefore, there is a demand for such a simulator. The development of a simulator for RAN started last year in another thesis with the possibility to model nodes, links, and set loads. In this thesis, the functionality is extended with the addition of mobility and user equipment (UE) to create load to more accurately simulate the network traffic. Roads are added as an entity to allow mobility, and cells are modeled to determine coverage. Most requested functionality was implemented, with the main difficulties being integrating the new code into the existing code base. The simulator was then evaluated, both the validity of the model and the performance. To improve the simulator for its purpose, even more, functionalities such as geography elements like buildings or mountains blocking the signal should be considered. Another improvement would be to make links and cells less reliable. The simulator is modeling the perfect day scenario at the moment which does not always reflect upon reality.

In recent years, mobile devices have played a significant role in daily life. As a result, Mobile Applications have become very popular. An increasing number of people are using mobile applications to handle an increasing number of personal tasks, as well as for amusement. To date, there are thousands of mobile applications available for a variety of purposes. However, there are very few specifically designed for local church use. Mobile applications are potentially more convenient and easier to operate than normal website for parishioners. Designing and implementing a mobile application for Crest Community Church, in Riverside, based on Android Developer Tools (ADT) and Android Software Development Kit (Android SDK) is this project’s primary objective. The objective of this project is to provide a communications platform where members of Crest Community Church can share news, discuss coming church events, promote and enhance the connectivity of this worship community, and provide mobile access to information not available on their present systems. A distinct feature of this project allows for communication between mobile application and webserver by creating a HTTP URL Connection. As a result, church members can publish news and events in a discussion forum as well as a dialog with other church members in a near real time format. The Crest users can also indicate that posted prayer request has been prayed for. In addition, this new application displays general church information, and provides the address and driving direction for potential visitors. Church members can also check the church’s calendar of events, special meetings and information about the Passion Center for Children ministry. This project has the ability to store and track pertinent information about each user, the content of all discussions, and retains member’s key contact data. This project successfully implemented a church mobile application. It demonstrated that a tailored mobile application can enhance the sense of community via internet for this congregation. It feather shows that mobile applications can greatly assist churches in community with members as well as visitors. The application also expanded the internet footprint of Crest Community Church, and offers other churches an avenue to improve their connectivity for the future.

The selection and modification of kernel functions is a very important problem in the field of support vector learning. However, the kernel function of a support vector machine has great influence on its performance. The kernel function projects the dataset from the original data space into the feature space, and therefore the problems which couldn¡¦t be done in low dimensions could be done in a higher dimension through the transform of the kernel function. In this thesis, we adopt the FCM clustering algorithm to group data patterns into clusters, and then use a statistical approach to calculate the standard deviation of each pattern with respect to the other patterns in the same cluster. Therefore we can make a proper estimation on the distribution of data patterns and assign a proper standard deviation for each pattern. The standard deviation is the same as the variance of a radial basis function. Then we have the origin data patterns and the variance of each data pattern for support vector learning. Experimental results have shown that our approach can derive better kernel functions than other methods, and also can have better learning and generalization abilities.

Thesis (Ph. D.)--Case Western Reserve University, 2004. / [School of Medicine] Department of Neurosciences. Includes bibliographical references. Available online via OhioLINK's ETD Center.

Thesis (Ph. D.)--University of Virginia, 2008. / Includes bibliographical references. Also available online through Digital Dissertations.

Thesis (Ph. D.)--University of Virginia, 2007. / Includes bibliographical references. Also available online through Digital Dissertations.

The nuclear envelope forms the interface between the nucleus and the cytoplasm. The nuclear envelope consists of the two concentric lipid membranes, the nuclear pores and the nuclear lamina. The inner nuclear membrane contains hundreds of unique transmembrane proteins showing high tissue diversity. Mutations of some proteins in the nuclear envelope give rise to a broad spectrum of diseases called envelopathies or laminopathies. In this thesis, I aimed to study the functional organization of the nuclear envelope by identifying and characterizing interactions between the nuclear envelope proteins. For this, we developed a novel method called the Membrane Protein Crosslink Immuno-Precipitation, which enable identification of protein-protein interactions in the nuclear envelope in live cells. We identified several novel interactions of the inner nuclear membrane protein, Samp1, and studied the interaction between the Samp1 and the nuclear GTPase, Ran in detail. Samp1 can bind to Ran and is thus the first known transmembrane Ran binding protein and Samp1 might provide a local binding site for Ran in the inner nuclear membrane. We found that Samp1 also binds to the inner nuclear membrane protein, Emerin and Ran can regulate the Samp1-Emerin interaction in the nuclear envelope. During mitosis, Samp1 distributes in the mitotic spindle. Therefore, we investigated a possible functional role of Samp1 in the mitotic machinery. Samp1 depletion resulted in aneuploid phenotypes, metaphase prolongation and decreased distribution of γ-tubulin and β-tubulin in the mitotic spindle. We found that Samp1 can bind to γ-tubulin, which is essential for the microtubule nucleation and hence for the spindle stability. The new interesting features of Samp1 provide insights on the unforeseen functions of the nuclear envelope proteins. / <p>At the time of the doctoral defense, the following papers were unpublished and had a status as follows: Paper 3: Manuscript. Paper 4: Manuscript.</p>

Presented diploma thesis is focused on testing of an appropriate form of encapsulated enzymes intended for application in cosmetic and pharmaceutical industry. For encapsulation, proteolytic enzymes bromelain, papain and collagenase were used. These enzymes were encapsulated into alginate and chitosan microparticles prepared by an encapsulator and packed into liposomes. Encapsulation effectiveness was evaluated by analysis of total proteins. Particles stability was evaluated in model and real conditions by photometrical analysis of released proteins. Proteolytic activity of released enzymes in model and real conditions were observed too. Alginate and chitosan microparticles prepared by the encapsulator were found as an appropriate form of encapsulated enzymes designed to wound healing. Encapsulation effectiveness of these particles and stability in model conditions were good in comparison with liposomes. Hydrogel and water-oil emulsion were used for analysis of particles stability at real conditions. Hydrogel was found as a good option for preservation of particles as well as proteolytic enzyme activity. Emulsion made particles less stable and proteolytic activity of enzymes decreased rapidly. Encapsulation enables long-term stabilization of biologically active compounds as well as possibility of targeted transport and controlled releasing. Presented diploma thesis suggests possibilities of application encapsulated enzymes in designing more effective formulations for wound healing.