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2024

By admin, 22 May, 2025

Predictors of Radiotherapy Outcomes in Breast Cancer Patients: A Logistic Regression Analysis of Clinical and Dosimetric parameters

This study aimed to predict radiotherapy outcome for breast cancer patients using clinical and dosimetric parameters through logistic regression analysis. The study made use of One Thousand, Four Hundred and Twenty-Two (1422) patients treated for breast cancer at the NSIA Cancer Centre, Lagos University Teaching Hospital (LUTH), Lagos State. Multivariate logistic regression analysis is performed in R Studio, with the level of significance set at p<0.05.

On the Generalization of an Infinitesimal Point Transformation of Partial Differential Equations (PDEs)

symmetry analysis which is associated with Sophus Lie is one of the approaches of solution of an evolution partial differential equation. This paper extends the generator for the n-th 
prolongation of the generator of an n-th–order ordinary differential equation to a general formula for the n-th prolongation of a generator, , with k-independent and p-dependent 

Comparative Studies on the Bioactive Chemical Composition, Antioxidant and Antimalarial potentials of picralima nitida Leaf and Stem Bark Extracts

Picralima nitida has a wide range of application in Africa traditional medicine. This research was designed to comparatively evaluate the bioactive constituents, antioxidant, and antimalarial potentials of leaves and stem bark of Picralima nitida. The plant’s leaves and stem bark were successfully extracted with methanol using cold extraction technique. The determination of the chemical constituents, antioxidant and antimalarial potentials were investigated using already established methods.

Design of a High Gain Dual-Band Compact Slotted Microstrip Patch Antenna for 5G Mobile Communication Systems

Microstrip patch antennas (MPAs) are widely used in wireless communication systems due to their low cost, compact profile, and ease of fabrication. However, their limited gain and narrow bandwidth often restrict their applications. With fіfth-generation (5G) networks demanding compact, high-gain, and wide bandwidth antennas, this work presеnts dual-band Mіcrostrip Rectangular Patch Antеnnas featuring LI-shaped and middle slots, specifically designed to enhance gaіn and bandwіdth for 5G mobilе communication applications.

Cyberbullying Detection Using K-Nearest Neighbour and Logistic Regression

Cyberbullying, also known as online bullying is a type of bullying involving the use of digital technologies such as social media, messaging platforms, or other channels available. It is a harmful behavior in online spaces that poses significant challenges to individuals and society.  The harmful effect of cyberbullying makes the victims to suffer depression, ill-health, emotional disorder, low self-esteem, physical violence and possibly commit suicide.

Chromatographic Fingerprinting of Antisickling Compound of Telfairia Occidentalis Leaf Extract

The leaves extracts of Telfairia occidentalis (Hook f) was studied as a potential antisickling agent. By solvent extraction, ethanol crude extract of leaves of Telfairia Occidentalis were partitioned to obtain their active fractions. In-vitro antisickling activity was determined using freshly prepared 2% sodium metabisulphite (negative control) and extracts of the plant (positive control) against haemoglobin SS red blood cell (HbSS). Activity- guided fractionation was used to target antisickling constituents of n-hexane fraction.

Investigating Design Parameters and Control Algorithms for Solar Panel Tracking Systems

This paper presents a procedure for the design and analysis of a solar tracking system for a given photovoltaic energy conversion installation which could readily be used by local designers. As the specifications of the desired energy consumption determines the actual total weight of the required number of solar panels, the proposed procedure aims at facilitating optimum choice of the drive servo-motor and presents a formalized design method for the associated controls. The overall transfer function of the system is developed and analyzed to investigate system stability and accuracy.

DocVerify: A Service-Oriented Model for Academic Credential Integrity

The integrity of academic credentials has become a critical issue, especially in developing countries like Nigeria, where cases of certificate forgery and delays in transcript generation have been on the rise. In response to this credential pandemic, this study projects a service-oriented model – DocVerify for academic certificate verification within Nigerian academic institutions. A design science research methodology was adopted, combining the service-oriented architecture modelling language and the software-oriented heterogeneous architecture and platforms engineering approach.

Distributed Multi-Feature Selection-Based Model for Microarray Data

Due to lack of scalability of feature selection algorithms when applied in a centralized manner, most classification algorithms perform sub-optimally especially in the presence of irrelevant and redundant features in high dimensional datasets-large feature size small instances. Though it is imperative to remove insignificant features to improve learning, the process is complex and time-consuming.

Mineral composition and chemical characterization of the oil constituents of Hibiscus sabdariffa calyxes (Zobo calyxes) by Gas chromatography mass spectrometry

Medicinal plants are the first natural agents used traditionally to treat a wide range of illnesses, especially infectious diseases including malaria, diarrhea, fever, anaemia and colds especially in the rural areas. In this study, the calyxes of Hibiscus sabdariffa were investigated for their mineral composition, phyto constituents and oil components. Before extraction, twenty grammes (20g) of the powdered sample was analyzed for its mineral composition using X-ray fluorescence (XRF) spectrometry. The other part was extracted by cold maceration using methanol solvent.

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