207 research outputs found
Determination of the Optimal Number of Servers in Kano Poly Micro Finance Bankeia Standards
No full textUmar Ahmad Isyaku, Nura Muhammad, Abdulrasheed Luqman and Aminu Sabo Muhammad
The study was carried out to determine the optimal number of servers in Kano Poly Micro Finance Bank a survey research design was employed, through the use of an observation data collection method. The population of the study was arrival and service rates recorded for the consecutive 20 days, between the hours of 10 am-3 pm. The mean arrival time for the customers (λ) was 5 customers every 10 minutes i.e30 customers per hour while the mean service time (µ) was 3 customers every ten minutes i.e. 18 customers per hour. The study concludes that a 3- servers queuing system will be the system with the optimal number of servers, sys in the Kano Poly microfinance bank, compared to 2- servers queuing system
Body Mass Index and its Influence on HIV Positive Patients: A Case Study of Aminu Kano Teaching Hospital
No full textA cross-sectional study on the influence of HIV on the body mass index of HIV patients admitted in Aminu Kano Teaching Hospital, Kano State, with the objectives of (i) evaluating the relation between height and weight of HIV-positive patients, (ii) testing the impact of gender on the BMI of HIV-positive patients, (iii) verification of the relationship between BMI and age of HIV positive patients (iv) verification of the statistical relationship between BMI of males and females HIV positive patients and (v) the prediction of best-suited model for the explanation of the height value when the BMI and weight are known. The results obtained indicated that there is a statistically significant linear relation between the height and weight of HIV-positive patients. However, the Body Mass Index does not depend on gender, and there was no observable significant difference between the BMI of male and female patients. On the contrary, the dependence of BMI on the age of the HIV-positive patients was upheld. The study recommended periodic evaluation of the investigated and other factors among HIV patients
Wavelet Attention VGG19 and XGBOOST for Classification of Skin Disease
No full text<p><strong>Abstract:</strong> This research paper introduces a novel framework for skin disease classification, combining Wavelet Attention VGG19 and XGBoost algorithms. Wavelet Attention VGG19 leverages the power of deep learning and wavelet attention mechanisms to extract discriminative features from skin lesion images, while XGBoost, a gradient boosting technique, complements the feature extraction capabilities with its ability to handle complex data relationships. The integration of these methodologies aims to improve accuracy and resilience in binary skin disease classification. The two goals of this study are to first improve feature learning and representation from skin lesion images by introducing wavelet attention into the VGG19 architecture, and second to improve classification performance by utilising XGBoost's ensemble and generalisation capabilities.</p>
<p><strong>Keywords:</strong> Wavelet Attention, Xgboost, deep learning, convolutional neural network, skin disease classification, VGG19.</p>
<p><strong>Title:</strong> Wavelet Attention VGG19 and XGBOOST for Classification of Skin Disease</p>
<p><strong>Author:</strong> Samaila Audu, Ali Ahmad Aminu</p>
<p><strong>International Journal of Computer Science and Information Technology Research</strong></p>
<p><strong>ISSN 2348-1196 (print), ISSN 2348-120X (online)</strong></p>
<p><strong>Vol. 11, Issue 4, October 2023 - December 2023</strong></p>
<p><strong>Page No: 5-13</strong></p>
<p><strong>Research Publish Journals</strong></p>
<p><strong>Website: www.researchpublish.com</strong></p>
<p><strong>Published Date: 07-October-2023</strong></p>
<p><strong>DOI: <a href="https://doi.org/10.5281/zenodo.8416714">https://doi.org/10.5281/zenodo.8416714</a></strong></p>
<p><strong>Paper Download Link (Source)</strong></p>
<p><strong><a href="https://www.researchpublish.com/papers/wavelet-attention-vgg19-and-xgboost-for-classification-of-skin-disease">https://www.researchpublish.com/papers/wavelet-attention-vgg19-and-xgboost-for-classification-of-skin-disease</a></strong></p>International Journal of Computer Science and Information Technology Research, ISSN 2348-1196 (print), ISSN 2348-120X (online), Research Publish Journals, Website: www.researchpublish.co
Splenic Injuries at Bugando Medical Centre in Northwestern Tanzania: A Tertiary Hospital Experience.
No full textSplenic injuries constitute a continuing diagnostic and therapeutic challenge to the trauma or general surgeons practicing in developing countries where sophisticated imaging facilities are either not available or exorbitantly expensive. The purpose of this review was to describe our own experience in the management of the splenic injuries outlining the aetiological spectrum, injury characteristics and treatment outcome of splenic injuries in our local environment and to identify predictors of outcome among these patients. A prospective descriptive study of splenic injury patients was carried out at Bugando Medical Centre in Northwestern Tanzania between March 2009 and February 2011. Statistical data analysis was done using SPSS software version 17.0. A total of 118 patients were studied. The male to female ratio was 6.4:1. Their ages ranged from 8 to 74 years with a median age of 22 years. The modal age group was 21-30 years. The majority of patients (89.8%) had blunt trauma and road traffic accidents (63.6%) were the most frequent cause of injuries. Most patients sustained grade III (39.0%) and IV (38.1%) splenic injuries. Majority of patients (86.4%) were treated operatively with splenectomy (97.1%) being the most frequently performed procedure. Postoperative complications were recorded in 30.5% of cases. The overall length of hospital stay (LOS) ranged from 1 day to 120 days with a median of 18 days. Mortality rate was 19.5%. Patients who had severe trauma (Kampala Trauma Score II ≤ 6) and those with associated injuries stayed longer in the hospital (P < 0.001), whereas age of the patient, associated injuries, trauma scores (KTS II), grade of splenic injuries, admission systolic blood pressure ≤ 90 mmHg, estimated blood loss > 2000 mls, HIV infection with CD4 ≤ 200 cells/μl and presence of postoperative complications were significantly associated with mortality (P < 0.001). Trauma resulting from road traffic accidents (RTAs) remains the most common cause of splenic injuries in our setting. Most of the splenic injuries were Grade III & IV and splenectomy was performed in majority of the cases. Non-operative management can be adopted in patients with blunt isolated and low grade splenic injuries but operative management is still indispensable in this part of Tanzania. Urgent preventive measures targeting at reducing the occurrence of RTAs is necessary to reduce the incidence of splenic injuries in our centre
An investigation of network countermeasure against fast self-propagating malware
No full textA self-propagating malware is a malicious software program that spreads itself across the Internet by exploiting flaws in software systems and therefore capable of launching attack against vulnerable Internet hosts. Fast self-propagating malware poses a security threat to hosts that are connected to the Internet because the speed of their propagation is very high and causes disruption of services across the Internet. Thus it becomes crucial to effectively detect and contain the propagation of fast self-propagating malware on the Internet.
This thesis presents a mechanism for the detection and containment of fast self-propagating
malware. The thesis initially presents an overview of self-propagating malware and the need for a solution to counter the propagation of this class of malware. The thesis also presents a comprehensive literature survey to identify research gaps and limitations of previously reported worm detection and containment systems. Based on the identified limitations and shortcomings, an improved detection and containment scheme has been developed to counter the spread of fast self-propagating malware. The developed scheme, termed NEDAC, uses a cross-layer architecture to provide a combined countermeasure solution against fast self-propagating malware, i.e., a detection
technique at network layer and a containment technique at data link layer. Furthermore, an improved testing environment, termed V-Network, has been developed for high fidelity malware experimentation and testing of countermeasure systems. An evaluation framework has been developed and used to test the NEDAC scheme along with other previously reported countermeasure systems using known and contemporary self-propagating malware. The NEDAC scheme demonstrated a better performance than the previously reported countermeasure systems
The V-network: a testbed for malware analysis
No full textThis paper presents a virtualised network environment that serves as a stable and re-usable platform for the analysis of malware propagation. The platform, which has been developed using VMware virtualisation technology, enables the use of either a graphical user interface or scripts to create virtual networks, clone, restart and take snapshots of virtual machines, reset experiments, clean virtual machines and manage the entire infrastructure remotely. The virtualised environment uses open source routing software to support the deployment of intrusion detection systems and other malware attack sensors, and is therefore suitable for evaluating countermeasure systems before deployment on live networks. An empirical analysis of network worm propagation has been conducted using worm outbreak experiments on Class A size networks to demonstrate the capability of the developed platform
Dielectric Characterization of Breast Cancer Cells using Split-Rectangular Ring Resonator Sensor
No full textExploring a universal method to enhance the performance of metamaterials by quantifying the impact of gap capacitance is an intriguing topic for many researchers. However, achieving this through conventional methods is extremely challenging. In this paper, we present a microwave sensor designed to characterize cancerous cells based on their electrical properties. The proposed design features a split rectangular ring resonator placed on a flame-retardant four (FR-4) substrate. The sensor aims to achieve high sensitivity and quality factors through the unique characteristics of the metamaterial structure in the GHz frequency range. Through simulations and experimental measurements, we demonstrate the sensor's effective capabilities in detecting cancer. The high sensitivity for both simulation and measurement, is estimated at 10 %. The simulations and validation confirm that this biosensor exhibits significant frequency shifts and high sensitivity. Our proposed configurations highlight the microwave sensor's potential for detecting six different breast cancer cell types: HSS-2, HS578-T_nm, MCF-2, MCF-10A_nm, T-47D, and T-47D_nm. Based on the existing literatures, the sensitivity of the proposed sensor is determined to be greater
Complex Chemical Data Classification and Discrimination Using Locality Preserving Partial Least Squares Discriminant Analysis
No full textASSESSMENT OF DOMESTIC VIOLENCE ON CHILDREN AS A PREDICTOR OF DELINQUENT BEHAVIOUR IN KADUNA SOUTH
No full textAbstract: The study assessed domestic violence as predictors of delinquent behaviour among children in Kaduna State. Survey design was employed with two hundred and fifty (250) participants selected using simple random sampling technique drawn from Command Secondary School, Kachia Road, Government Day Secondary School, Kakuri in Kaduna South, and Borstal Training Institute Barnawa, Kaduna with the age ranges from 11-above years who were children both male and female. Questionnaire was used to collect data. Pearson Product Moment Correlation and Independent Sample t-test were used to test the hypotheses. Two hypotheses were tested. Hypothesis one revealed a mean and standard deviation scores for Domestic violence (M= 10.68, SD= 4.536) and delinquent behaviour (M= 12.79, SD= 3.518). Further analysis revealed a statistically significant r(248) = 0.311, P .05). Observation of the means however indicates that children from high socio-economic status families scored slightly higher on delinquent behaviour (M=12.57, SD=2.61) compared to their counterparts from the low socio-economic status families (M=12.03, SD=2.78). This was however not confirmed. We concluded and recommended that relationship between domestic violence and juvenile delinquent behaviour in Kaduna South. Parents and guardians should make sure that they give their children adequate attention at home especially in regard to incidence of violence either from the parents, relatives or peer group (friends) who they mix and mingle with.
Keywords: Assessment, Domestic Violence, Children, Predictor and Juvenile Delinquent Behaviour.
Title: ASSESSMENT OF DOMESTIC VIOLENCE ON CHILDREN AS A PREDICTOR OF DELINQUENT BEHAVIOUR IN KADUNA SOUTH
Author: Yasmin Aminu Ahmad, Fadare Gbenga Oba, Charlton Jose, David Markus Shekwolo
International Journal of Social Science and Humanities Research
ISSN 2348-3156 (Print), ISSN 2348-3164 (online)
Vol. 10, Issue 2, April 2022 - June 2022
Page No: 402-408
Research Publish Journals
Website: www.researchpublish.com
Published Date: 30-May-2022
DOI: https://doi.org/10.5281/zenodo.6593010
Paper Download Link (Source)
https://www.researchpublish.com/papers/assessment-of-domestic-violence-on-children-as-a-predictor-of-delinquent-behaviour-in-kaduna-southInternational Journal of Social Science and Humanities Research, ISSN 2348-3156 (Print), ISSN 2348-3164 (online), Vol. 10, Research Publish Journals (Publisher), Website: www.researchpublish.co
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