Natural & Applied Sciences

Research Papers/Topics Natural & Applied Sciences

Nutritional and Antinutritional Analysis of the Seed and Seed Oil of Citrullus Ecirrhosis (Wild Melon)

Abstract Attempt was made to determine the nutritional and anti nutritional composition of Wild melon (C. ecirrhosus ) popularly known as “Gunar shanu in Hausa land, using suitable methods of analyses. The results for proximate analyses (% DW) showed a composition of 3.73 ± moisture, 2.12 ± 0.08 ash content, 26.36 ± 0.10 crude protein, 50.67 ± crude lipid, 2.17 ± 0.29 crude fibre, 18.69 ± 0.82 carbohydrate and energy value of 601.7 ± 8.75 Kcal/ 100g. Amino acids determination re...

Loss Function In Acturial Science And Estimation

Abstract The non-life insurance pricing consists of establishing a premium or a tariff paid by the insured to the insurance company in exchange for the risk transfer. A key factor in doing that is properly estimating the distribution that the claim and frequency of claim follows. This thesis aim at having a deep knowledge of loss function and their estimation, several concept from Measure Theory, Probability Theory and Statistics were combined in the study of loss function and estimating the...

Opinion Mining/Sentiment Analysis

Abstract There has been tremendous growth in the amount of user generated content on the Internet. This is due to rise in social networks and the embrace of web 2.0 or technologies. The Internet is no longer a place for consumption of information only, but a melting point of users interacting on various interests. This project concentrates on a specific type of content – opinionated content. Several review sites exist where users can comment on their experience about a movie, product or se...

Study Of Scalable Deep Neural Network For Wildlife Animal Recognition And Identification

ABSTRACT Recently, deep learning techniques have been used significantly for large scale image classification targeting wildlife prediction. This research adopted a deep convolutional neural network (CNN) and proposed a deep scalable CNN. Our research essentially modifies the network layers (scalability) dynamically in a multitasking system and enables real-time operations with minimum performance loss. It suggests a straightforward technique to access the performance gains of the network wh...

Surface Modification Of Polymeric Biomaterials For Cell/Tissue Integration

ABSTRACT This thesis presented the surface modification of polydimethyl siloxane (PDMS) to enhance surface wettability and surface roughness. Physical and chemical modifications were performed on cured surfaces of PDMS and PDMS-based nanocomposites. Firstly, physical modifications were done by direct coating of PDMS-based substrates with biopolymers such as polyethylene glycol (PEG), poly lactic-co-glycolic acid (PLGA) and sodium alginate (SA). On the other hand, coatings were done with the ...

Association Between Hepcidin, Insulin Resistance And CRP in Type 2 Diabetes Patients at The Korle-Bu Teaching Hospital

ABSTRACT Background: Diabetes Mellitus (DM) is a significant cause of morbidity and mortality and remains a global health challenge. Type 2 diabetes (T2DM) is a leading root of cardiovascular diseases worldwide. Growing evidence indicates a strong association between T2DM and high level of hepcidin; a major regulator of iron homeostasis. Iron overload is an important risk factor that plays a major role in pathogenesis of diabetes and its complications. Insulin resistance and elevated c-react...

The Mountain Pass Theorem and Applications.

Let us first introduce some keywords that will enable us to specify our principal objective. Given a nonempty set X and a function f : X → R which is bounded below, computing the number

Stochastic Modelling Of A Chemotactic Microswimmer

Abstract Key to Escherichia coli (E-coli) bacteria survival is its ability to direct its movement to greener pasture and flee harmful environment - also known as chemotaxis. This thesis focuses on the modelling of E-coli chemotaxis in twodimensions with emphasis on trying to understand the basic physics of how such a tiny microswimmer swim up a concentration gradient despite the enormous thermal fluctuations in its environment. E-coli strategically employs near straight swimming (also known ...

Genetic Algorithms For Timetable Generation

Abstract Timetabling presents an NP-hard combinatorial optimization problem which requires an efficient search algorithm. This research aims at designing a genetic algorithm for timetabling real-world school resources to fulfil a given set of constraints and preferences. It further aims at proposing a parallel algorithm that is envisaged to speed up convergence to an optimal solution, given its existence. The timetable problem is modeled as a constraint satisfaction problem (CSP) and a theor...

An Algorithm For Solutions Of Hammerstein Integral Equations With Monotone Operators

Abstract Let X be a uniformly convex and uniformly smooth real Banach space with dual space X∗ . Let F : X → X∗ and K : X∗ → X be bounded monotone mappings such that the Hammerstein equation u + KF u = 0 has a solution in X. An explicit iteration sequence is constructed and proved to converge strongly to a solution of the equation. This is achieved by combining geometric properties of uniformly convex and uniformly smooth real Banach spaces recently introduced by Alber with our met...

Monotone Operators And Applications

This project is mainly focused on the theory of Monotone (increasing) Operators and its applications. Monotone operators play an important role in many branches of Mathematics such as Convex Analysis, Optimization Theory, Evolution Equations Theory, Variational Methods and Variational Inequalities.

Limiting Efficiency Of Perovskite Solar Cells

Abstract The power conversion efficiency of perovskite solar cells has risen from as low as 3.8% to as high as 19.3% in just five years with yet a projected value of over 20% in the next few years by experimentalists. Such a tremendous breakthrough is one of its kind in photo-voltaic research with thin film solar cells as the only major competitor. The light harvesting layer in these new devices has a crystalline structure called the perovskite structure which is capable of absorbing photons...

An Eclipse-Based Graphical Modeling Tool For Discrete Event Simulation

Abstract We propose DEVS-Driven Modeling Language (DDML), a graphical notation for DEVS [1] modeling and an Eclipse-based graphical editor, Eclipse-DDML. DDML attempts to bridge the gap between expert modelers and domain experts making it easy to model systems, and capture the static, dynamic, and functional aspects of a system. At the same time, it unifies CDEVS and P-DEVS models. DDML integrates excellent modeling concepts from powerful formalisms and glues them in one unique consistent fr...

Variational Inequality In Hilbert Spaces And Their Applications

ABSTRACT The study of variational inequalities frequently deals with a mapping F from a vector space X or a convex subset of X into its dual X 0 . Let H be a real Hilbert space and a(u, v) be a real bilinear form on H. Assume that the linear and continuous mapping A : H −→ H 0 determines a bilinear form via the pairing a(u, v) = hAu, vi. Given K ⊂ H and f ∈ H 0 . Then, Variational inequality(VI) is the problem of finding u ∈ K such that a(u, v − u) ≥ hf, v − ui, for all v ∈ ...

Classification Of Breast Cancer Using Logistic Regression

ABSTRACT Breast cancer is a prevalent disease that affects mostly women, an early diagnosis will expedite the treatment of this ailment. In recent times, Machine Learning (ML) techniques have been employed in biomedical and informatics to help fight breast cancer. This research work proposed an ML model for the classification of breast cancer. To achieve this we employed logistic regression (LR) and also compared our model’s performance with other extant ML models namely, Support Vector Ma...


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