ABSTRACT Hepatitis C development is a public health concern globally; hence eliminating it has become a major public health goal by various countries. In Nigeria, monitoring Hepatitis C development with the view to eliminate it has faced several challenges such as lack of central national database on the virus, inadequate health intelligence and surveillance systems to monitor and control the incidences and prevalence of disease, manual system of health records collection, storage and access...
ABSTRACT Due to the vast amount of data that is being generated by the sensors through the smart devices in smart cities, streams of data must be processed in real time to gain insight quickly and to make decisions that are in most cases critical and time sensitive. The difficulty is diminished by using big data methods such as Cassandra, Hadoop, Kafka and Spark to perform real-time stream processing in an Internet of Things (IoT) environment, such as traffic monitoring in a smart city envir...
ABSTRACT Many Institutions offer on-line courses to people from all around the world. Learning Management Systems provides a convenient learning environment for on-line courses. Each learner has individual needs and characteristics such as, personality and learning styles. These investigations are supported by learning theorists who argue that, these differences affect individuals learning process, and that is why learners progress better under certain circumstances. Learning style is the ou...
Abstract Most anticancer drugs are polar, cytotoxic and have complicated structures which cause difficulty in their penetration through the cell membrane. This presents a serious problem in chemotherapy. Is it possible to use carbon nanotubes (CNTs) as intracellular drug delivery agents to concomitantly mininmize side effects and maximize therapeutic effect? Although previous experimental and simulation studies have demonstrated that CNTs are able to translocate through cell membrane, the ce...
ABSTRACT Main purpose of data mining is to extract valuable information from available data. With the enormous amount of data stored in files, databases, and repositories, in the healthcare sector, it’s increasingly important, if not necessary, developing powerful means for analysis and interpretation of such data for the extraction of knowledge that could help in decision-making. Classification is technique in data mining; it’s defined as distinguishing, assigning object to a certain cl...
ABSTRACT In general, it is assumed in some non viscous flows that the flow velocity is constant at a cross-section. In this thesis, If we impose more realistic boundary conditions by, for example, introducing viscosity,and suction at walls, the net mass flow will change since the continuity equation must hold. The convective acceleration terms will be products of variables such that a nonlinear behavior will take place in the flow. The work will consist of deriving all the equations and param...
ABSTRACT Malaria still poses a global threat despite the enormous research and intervention strategies that have been employed to curb the menace of the disease over the years. This has necessitated the characterization of novel drug targets for the development of new intervention against malaria. In this study, I identified two novel P. falciparum proteins (PF3D7_0410600 and PF3D7_1459400) and used cellular/biochemical approaches to characterize the proteins. Analysis of the protein sequenc...
ABSTRACT The main aim of radiotherapy is to destroy cancerous tissues with ionizing radiation while the other normal parts of the body are saved or spared. Intracavitary brachytherapy is a procedure in which radioactive sources are placed in the body cavities close to or inside the target volume to deliver radiation at short distances. In this mode of treatment, high radiation dose can be delivered to the tumour volume with rapid dose fall-off into the surrounding normal tissues. In brachyt...
ABSTRACT This thesis deals with the control of non linear oscillations in plasma governed by a classical Van der Pol equation . The main interest devoted to such an investigation is that non linear oscillations in plasma is essential in industry. In chapter 1 , we present some generality on the dynamical systems . Chapter 2 is focussed on the analytical study of the Van der Pol equation in autonomous regime . The amplitude and the phase of the stable limit cycle are derived using the Averagin...
The exploitation of nature's propensity offers us ample opportunities to achieve or deal with an optimal objective concerning constrained shape, volume, time, velocity, energy or gain. This vivifies the need to study Optimization Theory and related topics. In order to make the concepts clear, let us recall some keywords. Given a nonempty set X and a function f : X → R which is bounded below, computing the number
Abstract The goal of this thesis is to extend the notion of integration with respect to a measure to Lattice spaces. To do so the paper is first summarizing the notion of integration with respect to a measure on R. Then, a construction of an integral on Banach spaces called the Bochner integral is introduced and the main focus which is integration on lattice spaces is lastly addressed.
ABSTRACT With the exponential growth of the information technology, nowadays tremendous amounts of data including images, audio, text and videos, up to millions or billions, are collected for training machine learning models. Deep neural networks (DNNs) are one of the widely used methods today. Large companies in the uses these methods to recommends buyers with products, filter junk email or text-based hate speeches, understand and translate major languages in real time, and so on. Inspired ...
ABSTRACT Developing countries have been plagued by recurrent cases of infectious disease outbreaks; coupled with the limitation of traditional disease control strategies, other approaches have been explored for disease control, with social media at the forefront. Data from this source is short, noisy, and informal in representation, thus, conventional natural language processing (NLP) methods are not well adapted for their structure. Hence, deep learning approaches for character-level word v...
Background of the study With the rapid development of computer networks, new and sophisticated types of attacks have emerged which require novel and more sophisticated defense mechanisms. Advanced Persistent Threats (APTs) are one of the most fast-growing cyber security threats that organizations face today [12]. They are carried out by knowledgeable, very skilled and well-funded hackers, targeting sensitive information from specific organizations. The objective of an APT attack is to stea...
ABSTRACT Airborne pollen grains and fern spores (aeroflora) are some of the major causative agents of allergies. However, data gathering on composition and distribution of these aeroflora across Nigeria is incipient. The aim of this study is to monitor the aeroflora in Lagos metropolis and determine the allergenicity of dominant aeroflora. To achieve this, aerosampling was done in Surulere, Ebute-Metta, University of Lagos, Akoka (UNILAG), Bariga and Gbagada. Aerosamples were collected and a...