Lipoma of the transverse colon: Review of literature and a case report in a young Nigerian female

Colonic lipomas are rare benign tumour of the gastrointestinal tract(GIT); however, they remain the commonest nonepithelial(mesenchymal) benign neoplasm of the GIT tract. The majority remains asymptomatic. They can mimic malignant tumours of the GI tract. We present a review of literature and our experience with the management of a case of this rare tumour. A 35year old woman presented to us with an upper abdominal pain of six  weeks,vomiting and passage of bloody  mucoid stool of four weeks. A huge palpable mass in the epigastric region.  Contrast-enhanced Computed tomography revealed a well-defined, 18cm, fatty tissue mass in the transverse colon. She had a right hemicolectomy. Histology confirmed the diagnosis revealing a submucous lipoma. One year follow up, she remained symptom-free with no evidence of recurrence. This study raises the awareness of this rare tumour as a cause of GIT symptoms and highlights the challenges in differentiating it from the more common malignancy of the colon. Keywords: Colonic lipoma, lipoma of transverse colon, Non-epithelial tumour Nigerian femal

Radiological and Toxicity Impact of Uranium (U-238) in Ground Water to Different Age Groups at Wurno, Sokoto State, Nigeria

One of the primary goals of the World Health Organization (WHO) is for every society to have an adequate supply of safe drinking water. This work aimed to assess the radiological and toxicity impact of ground water of Wurno Local Government Area. Uranium activity concentration from 45 water samples collected from different locations in the study area were determined using HpGe   detector, the result from the analysis was used to evaluate the annual effective dose due to ingestion of groundwater from the study area by the inhabitants.  Radiological and chemical toxicity risks were also calculated. High level activity was reported in Diggim while low activity level was reported in Nassarawa-Daje. The annual effective doses for adult, children and infants were estimated to be from 0.008 mSvy-1 to 0.32 mSvy-1. The highest risk cancer mortality value was found at Diggim with a value of 4.34 × 10-4 while the lowest value was observed at Nassarawa Daje with a value of 1.17 × 10-5. Chemical toxicity value ranged from 0.59 – 21. 79 µg.kg-1.day-1 with an average dose value of 5.12 µg.kg-1.day-1. The lifetime average daily dose (LADD) values were reported to be higher at Diggim and lower at Nassarawa-Daje with the values 21.79 µg.kg-1.day-1 and 0.59 µg.kg-1.day-1 respectively compared with 0.6 µg.kg-1.day-1 WHO limit standard. Significantly, the high activity level, and chemical toxicity risk reported from this study is an indication that the area may have developed some fractures of granitic strata in the subsurface geology that contributed to the wide distribution of radiation dose

The prevalence and clinical profile of adrenocortical deficiency among HIV infected persons in Northern Nigeria

Background: Infection with the human immune deficiency virus (HIV) is still a prevalent problem in Africa.Objectives: The aim of this study was to determine the prevalence of hypocortisolism among patients with HIV and their clinical profile at Aminu Kano Teaching Hospital (AKTH), Kano, Nigeria.Method: Three hundred and fifty adult patients with HIV infection were recruited from the HIV clinic of AKTH, Kano. Blood samples for serum electrolytes, and cortisol both before and after the short Synacthen test were taken for estimation. Data were analyzed using the SPSS version 20.0 software.Results: One hundred and eight (30.9%) of participants had low baseline serum cortisol levels, while 57 (16.3%) had a low serum cortisol after short synacthen test. There was no significant relationship between the cortisol levels and clinical features of hypocortisolism, WHO clinical stage of HIV, hypernatremia or HAART regimen. There was a negative correlation between the stimulated serum cortisol and duration of diagnosis of HIV, participants BMI and CD4 counts.Conclusion: The biochemical evidence of hypocortisolism was common among patients infected with HIV, associated with a longer duration of HIV infection. However, none of CD4 counts, clinical features or HAART regimen were associated with hypocortisolism.Keywords: Hypocortisolism, HIV infection, short Synacthen test

Investigate the Effect of Different Kinds of Discontinuous Fibers on the Mechanical Properties of Epoxy Matrix Composite Materials

The composite manufacturing has been a wide variety of applications. The low density, stiffness, and weight to strength ratio giving these materials significant mechanical properties in aerospace, and automotive industries. In this work, the specimens of fiber reinforced composites have been prepared by adding different percentage of two types of fibers in epoxy resins matrix. So, the aim of this study is to evaluate the effect of additives on the mechanical properties according to Standard Test Method for Tensile Properties ASTM D3039. The tensile and hardness testing show that the carbon fibers improve the hardness and tensile strength due to their higher mechanical properties. In addition, they have high strength to weight ratio as compare with polypropylene fibers

Occurrence of hypocortisolism in HIV patients: Is the picture changing?

Background: The occurrence of endocrine diseases in people who are infected with HIV is traditionally thought to occur in the setting of AIDS with opportunistic infections and malignancies. However, recent studies find the correlation between hypocortisolism and stage of HIV (CD4 count and WHO clinical stage) inconsistent.Methods: This descriptive cross-sectional study included three hundred and fifty (350) consecutive patients with HIV infection. They were interviewed, and subsequently underwent laboratory evaluation for the detection of hypocortisolism. Blood samples for serum cortisol estimation were taken at baseline and at 30 minutes following the administration of 1μg of tetracosactrin (Synacthen). In addition, the patients had blood samples taken at 0 minutes (baseline) for CD4+ lymphocyte cell counts.Results: At baseline, 108 (30.9%) participants had serum cortisol levels below 100 μg/L with a median value of 55.48 μg/L (11.36-99.96 μg/L), but only 57 (16.3%) study participants had stimulated serum cortisol levels below 180 μg/L with median of 118 μg/L (19.43-179.62). There was no significant difference in the occurrence of clinical features between participants with low and normal serum cortisol, nor WHO clinical stage, CD4 count and ART regimen. The occurrence of hypocortisolism was higher among participants who had been on ART for a longer period of time.Conclusion: There is a high prevalence of hypocortisolism among HIV patients by biochemical testing, especially those who have been on ARVs for a longer duration. Hypocortisolism cannot be predicted based on the participants’ WHO clinical stage of disease, CD4 cell count, or the treatment regimen.  Funding: Personal FundsKeywords: HIV, Adrenocortical insufficiency, CD4 cell count, Tetracosactri

COVID-19 Vaccine: Examining Nurses Attitude and Willingness to accept the inoculation in North Western Nigeria

Background: Healthcare providers are the first line of information in pandemics and the last line of support during infections spread.Objective: The study was conducted to examine Nurses Attitude and Willingness to accept COVID-19 vaccine in Northern Nigeria.Methods: Cross-sectional design and systematic sampling technique were used for the study where 300 pretested structured questionnaires were distributed to nurses attending Nursing and Midwifery Council of Nigeria’s Mandatory Continuing Professional Development Programme in Kano, Jigawa, Kaduna and Katsina states of Northwestern Nigeria. 89.3% of the questionnaires were successfully retrieved and analysed using frequency tables and spearman’s correlation coefficient.Result: The result revealed that majority (67.3%) had a positive attitude towards vaccines in general but 89.6% of the respondents were not willing to receive the COVID-19 vaccine. Spearman’s correlation analysis revealed a significant positive correlation between Knowledge of COVID-19 (ρ =0.402, p0.01), having long term medical condition (ρ =0.492, p0.01), highest educational qualification (ρ =0.291, p0.01), female gender (ρ =0.160, p0.01) and willingness to receive COVID-19 vaccine among the respondents. Significant positive correlation was also observed between age (ρ =0.186, p0.01) and refusing a recommended vaccine in the past. Significant negative correlations were observed between refusing a recommended vaccine in the past (ρ =-0.661, p0.05) and willingness to receive COVID-19 vaccine, knowledge of COVID-19 (ρ = - 0.132, p0.01), refusing a recommended vaccine in the past (ρ = - 0.132, p0.01) and years of working experience.Conclusion: It was recommended that awareness campaigns needs to be instituted targeting the eradication of COVID-19 vaccine hesitancy among all healthcare providers

An empirical analysis on customers’ acceptance of Islamic micro finance in Kano State, North Western-Nigeria : the moderating effect of awareness

Purpose: The objective of this research paper is to conceptualize the model in examining the moderating effect of awareness on attitude, knowledge, and customers’ acceptance of Islamic micro finance in Kano State, North Western-Nigeria. As, Islamic micro financial institutions deliver loans to small and medium enterprises (SMEs). Since, it serves as a means of curving of some social vices such as poverty, ethno-religious crises, farmers and herdsmen crises, cattle rustling, arm rubbers and kidnappers among others. Despite it great contributions to the growth of the economy there is deprived awareness on Islamic micro finance which leads to inadequate investment and patronage by the people in Kano State. Investors and the general public can use this research for guidance towards investments of their capital into Islamic micro finance for maximum profits. Also, stake holders, SMEs, traders and farmers can utilize the outcome of this study. Similarly, stock exchange commission, Central Bank of Nigeria and other financial institutions can use the results of this study towards making policies and strategies. -- Design/methodology/approach: Questionnaire was used and data was collected by random sample of 400 selected Islamic micro finance customers in Kano state, Nigeria. PLSSEM was used in analysing and testing the formulated hypotheses. -- Findings: Result indicated that knowledge and attitude have positive and significant relationship on acceptance of Islamic micro finance, while, awareness did not moderate relationship between attitudes but moderates knowledge and acceptance of Islamic micro finance.peer-reviewe

Impact of Software Metrics on Software Quality using McCall Quality Model: In-Depth Analysis

Software metrics plays a very vital role in life cycle of software development. Rapid software development techniques and tools have made it very complex to fully control the quality of a software. Software metrics are required to make sure that the quality of software is fully under control. Many software metrics have already been developed and applied to control the quality of software products. Software metrics is the measurement of quality in which performance is measured against quality standards to check whether they are according to the expectations. Quality metrics are also used to determine customer requirements into acceptable performance measures. This paper discusses the concepts of software quality, quality factor model, mapping according to McCall Quality Model & the quality metrics. The act of applying software quality measurements to functional components and to keep up with factors is a mind-boggling task. Effective software quality affirmation is exceptionally reliant upon quality methods. Future examination is needed to expand out and work on the approach to widen measurements that have been accepted on one venture, utilizing our rules, legitimate proportions of value on future software project. This paper also dives deep into the impacts of the various software metrics over different quality factors and explains the relationship between them

Automated deep bottleneck residual 82-layered architecture with Bayesian optimization for the classification of brain and common maternal fetal ultrasound planes

Despite a worldwide decline in maternal mortality over the past two decades, a significant gap persists between low- and high-income countries, with 94% of maternal mortality concentrated in low and middle-income nations. Ultrasound serves as a prevalent diagnostic tool in prenatal care for monitoring fetal growth and development. Nevertheless, acquiring standard fetal ultrasound planes with accurate anatomical structures proves challenging and time-intensive, even for skilled sonographers. Therefore, for determining common maternal fetuses from ultrasound images, an automated computer-aided diagnostic (CAD) system is required. A new residual bottleneck mechanism-based deep learning architecture has been proposed that includes 82 layers deep. The proposed architecture has added three residual blocks, each including two highway paths and one skip connection. In addition, a convolutional layer has been added of size 3 × 3 before each residual block. In the training process, several hyper parameters have been initialized using Bayesian optimization (BO) rather than manual initialization. Deep features are extracted from the average pooling layer and performed the classification. In the classification process, an increase occurred in the computational time; therefore, we proposed an improved search-based moth flame optimization algorithm for optimal feature selection. The data is then classified using neural network classifiers based on the selected features. The experimental phase involved the analysis of ultrasound images, specifically focusing on fetal brain and common maternal fetal images. The proposed method achieved 78.5% and 79.4% accuracy for brain fetal planes and common maternal fetal planes. Comparison with several pre-trained neural nets and state-of-the-art (SOTA) optimization algorithms shows improved accuracy