Computational Methods for Medical and Cyber Security

Over the past decade, computational methods, including machine learning (ML) and deep learning (DL), have been exponentially growing in their development of solutions in various domains, especially medicine, cybersecurity, finance, and education. While these applications of machine learning algorithms have been proven beneficial in various fields, many shortcomings have also been highlighted, such as the lack of benchmark datasets, the inability to learn from small datasets, the cost of architecture, adversarial attacks, and imbalanced datasets. On the other hand, new and emerging algorithms, such as deep learning, one-shot learning, continuous learning, and generative adversarial networks, have successfully solved various tasks in these fields. Therefore, applying these new methods to life-critical missions is crucial, as is measuring these less-traditional algorithms' success when used in these fields

Controlling and Organizing the Network Structure of Korean Business Groups, 1997-2003

This thesis examines organizing and controlling mechanisms within the network structure of Korean business groups, chaebols, for the family-based corporate ownership and control under environmental uncertainty. Research focuses on the groups' changing patterns of inter-firm network structures, the maneuvering strategy by utilizing relational configurations of business groups for the family members' robust control, and the effect of network structure on the corporate performance of affiliated firms. Considering the financial crisis of 1997 in South Korea and the aftermath of this crisis as a natural experiment, social network analysis is used for analyzing each of the 178 cases for 28 chaebols during 1997 to 2003. Although retaining a centralized, hierarchical form of group structure with the tau statistic, the overall inter-firm configurations of each business group, as result of concrete but simplified images of network configurations by blockmodel analysis and the comparison of them with idealized models by simple matching analysis, show the existence of variations within a monolithic form in synchronic comparison and the changing trend to be a less centralized, hierarchical form along with stable transitive patterns in diachronic comparison. Family-based corporate control, by strategically intertwining affiliated people as vicarious agents to carry out the interests of family members and sending these combinatorial equity ties to a few major firms occupying core positions, is guaranteed without losing its substantial controlling power. It is argued that, borrowing from Bourdieu's "condescension strategy," this strategically contrived control is a proactive and reactive strategy in response to environmental pressure even though this strategy is effective in certain intercorporate conditions. The estimated influence of inter-firm network structure on the corporate performance of affiliated firms is minimal in multilevel analysis. In contrast, affiliated firms having direct connections with family members show relatively better corporate performance than those that do not have these connections. The implication of this result is that the network structure of chaebols tend to be shaped, maintained, and reorganized for family-based, effective, overarching corporate control at the business group level rather than for efficient corporate performance of affiliated firms at the firm level. Finally, this thesis suggests that corporate control and corporate gain do not always go hand in hand, and economic practices need to be understood by the simultaneous consideration of pecuniary and not necessarily pecuniary but still related interests, such as control and social relations where economic practices are anchored in

The Gujaratis of Bolton: the leaders and the led

This thesis is a study of local rather than national black politics. The participation of Gujaratis, who comprise the largest ethnic minority community in Bolton, in local politics is constrained by their loyalty to Gujarati identities and by racism within political parties. The settlement patterns of Gujaratis in Bolton reflect in part the socio-economic constraints experienced by black immigrants in Britain generally, and in part their allegiance to faction, caste, sect and religious identities. On the basis of some of these social identities have developed organisations which respond to particular social, religious and political needs. These organisations provide the only opportunities for the development of black structures of support and leadership within this large community. Notions of racism are based upon a dialogue between white and Gujarati notions of what is common sense. These notions form the basis of Gujaratis' perceptions of social distances that separate them from others. The core of support for leaders is based upon personal social networks. The social characteristics of these social networks influence the patterns of close friendships between Gujaratis and members of other communities in the town. These patterns show that Gujaratis exclude Gujaratis who belong to other Gujarati religious communities and members of other ethnic communities, black and white, from close friendships. Friendships with those perceived to be social distant are of lower intensity, thus excluding these people from sharing in a common body of Gujarati knowledge. In the context of Bolton these Gujaratis find themselves unable to participate within the formal political hierarchy and decision making arenas. The local Community Relations Council offers Gujarati and other black leaders of organisations a forum within which they can meet with some of the locally and nationally elected political representatives. The debate centres on events, involving Gujarati and other participants, which allow leaders of Gujarati organisations and politicians and other members of the CRC to negotiate the power relations between black and white. However, the consequence is that the Gujaratis are still relegated to the periphery of formal political decision-making arenas

Mathematical model of interactions immune system with Micobacterium tuberculosis

Tuberculosis (TB) remains a public health problem in the world, because of the increasing prevalence and treatment outcomes are less satisfactory. About 3 million people die each year and an estimated one third of the world's population infected with Mycobacterium Tuberculosis (M.tb) is latent. This is apparently related to incomplete understanding of the immune system in infection M.tb. When this has been known that immune responses that play a role in controlling the development of M.tb is Macrophages, T Lymphocytes and Cytokines as mediators. However, how the interaction between the two populations and a variety of cytokines in suppressing the growth of Mycobacterium tuberculosis germ is still unclear. To be able to better understand the dynamics of infection with M tuberculosis host immune response is required of a model.One interesting study on the interaction of the immune system with M.tb mulalui mathematical model approach. Mathematical model is a good tool in understanding the dynamic behavior of a system. With the mediation of mathematical models are expected to know what variables are most responsible for suppressing the growth of Mycobacterium tuberculosis germ that can be a more appropriate approach to treatment and prevention target is to develop a vaccine. This research aims to create dynamic models of interaction between macrophages (Macrophages resting, macrophages activated and macrophages infected), T lymphocytes (CD4 + T cells and T cells CD8 +) and cytokine (IL-2, IL-4, IL-10,IL-12,IFN-dan TNF-) on TB infection in the lung. To see the changes in each variable used parameter values derived from experimental literature. With the understanding that the variable most responsible for defense against Mycobacterium tuberculosis germs, it can be used as the basis for the development of a vaccine or drug delivery targeted so hopefully will improve the management of patients with tuberculosis. Mathematical models used in building Ordinary Differential Equations (ODE) in the form of differential equation systems Non-linear first order, the equation contains the functions used in biological systems such as the Hill function, Monod function, Menten- Kinetic Function. To validate the system used 4th order Runge Kutta method with the help of software in making the program Matlab or Maple to view the behavior and the quantity of cells of each population

Journal of Telecommunications and Information Technology, 2012, nr 2

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Collaboration, competition and conflict: social movement and interaction dynamics of London's environmental movement

There is a wide variety of types of environmental movement organisations (EMOs) in London, ranging from relatively small direct action networks and Friends of Parks groups, to EMOs of international significance such as Friends of the Earth and Greenpeace. Although there is a degree of conflict and competition between some of London's EMOs, there is sufficient networking to label London's environmentalism as a 'movement'. Especially at critical campaign times, the movement's ideological and spatial divisions join together to form dynamic campaigns that are difficult for decision-makers to ignore. This thesis explores the conflict, collaboration and competition within the movement using an integrated social movement theory approach. Resource mobilization, political opportunity, and new social movement theories are critiqued and scaled

Advances in knowledge discovery and data mining Part II

19th Pacific-Asia Conference, PAKDD 2015, Ho Chi Minh City, Vietnam, May 19-22, 2015, Proceedings, Part II</p