An Investigation on Secondary School Students’ Attitude Towards Science in Ogun State, Nigeria

The study investigated the attitudes of secondary school students towards science in Odeda Local Government Area of Ogun State, Nigeria. Two hundred senior secondary school students consisting of 84 males and 116 females were selected from five secondary schools using stratified random sampling techniques. A 20-item Attitude to Science Questionnaire on a five-point likert scale was adopted for the study. The instrument has a reliability coefficient of 0.73 using Cronbach’s reliability method. Frequency counts and percentages were used to obtain an overall picture of students’ attitude towards science while student’s t-test was used to find out whether there was significance difference between the attitude of male and female students. Findings showed that a higher proportion of the students display positive attitude towards science. Also, there was no significant difference between the attitude of male and female students towards science. Keywords: Attitude, Science, Student, Secondary school

Predicting the Growth of e-Commerce using Trendline Analysis: A Case Study of Ogun State, Nigeria

There is a growing interest from e-commerce planners and other planning agencies in the Information Technology world to measure and forecast the growth of e-commerce in developing countries like Nigeria. The difficulties lie in finding the best forecasting model that can incorporate both the internal and external barriers that influence the full adoption and diffusion of e-commerce. This study attempts to identify the relevant e-commerce tools and its spread in Ogun East Senatorial District as well as formulating a mathematical model for e-commerce adoption and diffusion. A well-structured questionnaire was used to collect data from 126 respondents and analyzed using Trendline, a built-in analysis tool in Microsoft® Office Excel version 2013. The study identified PCs/laptops, ATM cards, e-mail services, mobile money transfer, e-commerce Websites, and point-of-sales (POS) terminals as e-commerce tools used by the respondents. The results of the study show that majority of the e-commerce users/adopters were single female students between the ages of 21 and 30 years, with university education owing to a proportion of 63% of the respondents while the earliest adopted e-commerce tools in descending order were tablets/smartphones, PCs/laptops, ATM cards, and email services. The results further show that the most popularly-used tools were e-commerce websites (98% responses), email services (94% responses), mobile money transfer (94% responses), POS terminals (94% responses), tablets/smartphones (93% responses), PCs/laptops (87% responses) and ATM cards (80% responses). Based on the findings of this study, it is therefore recommended that government should promote the use and development of e-commerce, notably by reducing the costs of access to technology, through the liberation of trade in software and hardware.

SUSTAINABLE ENERGY ANALYSIS OF NIGERIAN ROAD TRANSPORTATION SECTOR: EFFECTS OF INFLUENCED FUEL DEMAND PATTERNS

Petrol and diesel utilisations in the Nigerian road transportation sector have been assessed, using exergy efficiency and improvement potential as parameters. The mean petrol engine exergy efficiency was 13.05%, while that of diesel engines was 10.79%. The average improvement potential of petrol engines was 2.07×1011 MJ, which was 75.6% of average input exergy. Diesel engines had an average improvement potential of 5.15×1010 MJ, which was 69.2% of average input exergy. Practical constancy of the exergy efficiencies of the engines left input exergy values as the sole determining factors of improvement potentials of the systems. Petrol fuel was found to be utilised, away from sustainable path, more than diesel fuel. This observation was found attributable to subsidisation of petrol downstream sector and simultaneous deregulation of the diesel downstream sector as well as the preponderance of petrol engines in the road transportation sector. In conclusion, it was recommended that a mechanism be put in place to check the unsustainable petrol fuel utilisation in the transport sector

Kinetic, Isotherm And Equilibrium Study Of Adsorption Of Hydrogen Sulfide From Wastewater Using Modified Eggshells

The studies of adsorption equilibrium isotherm and kinetics of hydrogen sulfide-water systems on calcite-based adsorbents prepared from eggshell are undertaken. The effects of operating variables such as contact time and initial concentration on the adsorption capacity of hydrogen sulfide are investigated. The modified eggshells are characterized by using different analytical approaches such as Scanning Electron Microscopy (SEM) and Fourier Transform Infrared (FTIR). The batch mode adsorption process is performed at optimum removal conditions: dosage of 1 g/L, pH level of pH 6, agitation speed of 150 rpm and contact time of 14h for adsorbing hydrogen sulfide with an initial concentration of 100-500 mg/L. In the current study, the Langmuir, Freundlich, Temkin, and Dubinin models are used to predict the adsorption isotherms. Our equilibrium data for hydrogen sulfide adsorption agrees well with those of the Langmuir equation. The maximum monolayer adsorption capacity is 150.07 mg/g. Moreover, the kinetics of H2S adsorption by using the modified calcite of eggshell follows a pseudo-second-order model. From the current work, we have found that the calcite eggshell is a suitable adsorbent for H2S embeded inside the waste water. Most importantly, chicken eggshell is a waste and vastly available; hence, it could serve as a practical mean for H2S adsorption

Advanced leiomyosarcoma of the uterus: a case report and literature review

Uterine leiomyosarcoma is a rare malignancy accounting for 1-2% of uterine malignancies with an annual incidence of 0.5-7 per 100,000 women. It occurs mostly between the 5th to 7th decades of life hence found more among postmenopausal women.  The aetiology is mostly unknown however, in 0.2% of cases, it originates from sarcomatous degeneration in a pre-existing benign uterine fibroid. Leiomyosarcoma can be mistaken for uterine leiomyoma also known as the uterine fibroid.  It is an aggressive tumour that has a poor prognosis, with or without treatment. This case report aimed to report and discuss the occurrence of leiomyosarcoma as a differential diagnosis of abnormal uterine bleeding in this environment among other conditions. This will bring to the fore awareness among gynaecologists, pathologists, radiologists and oncologists that leiomyosarcoma of the uterus, though rare, should be considered in cases of menorrhagia with suspected uterine fibroid to avoid mistaking it for a diagnosis of uterine fibroid/leiomyoma. It is, therefore, imperative to consider leiomyosarcoma in a pre-menopausal and perimenopausal women diagnosed of abnormal uterine bleeding with symptomatic uterine fibroid. MRI serves as a good tool in differentiating the two pathologies.

Efficient extraction of antioxidants from Vernonia cinerea leaves: Comparing response surface methodology and artificial neural network

Despite response surface methodology (RSM) has been the most preferred statistical tool for optimizing extraction processes, artificial neural network (ANN) has been one of the most effective tools used for optimization and empirical modelling since the last two decades, most especially for non-linear equations. Thus, this study was carried out to compare the performance of RSM and ANN in optimizing the extraction yield and antioxidant capability of extract from Vernonia cinerea leaves using microwave-assisted extraction (MAE) techniques. The responses (extraction yield and antioxidant capabilities) were modelled and optimized as functions of four independent MAE parameters (irradiation time, microwave power level, ethanol concentration, and feed-to-solvent ratio) using RSM and ANN. The coefficient of determination (R2), root mean square error (RMSE) and absolute average deviation (AAD) were employed to compare the performance of both modelling tools. ANN model has a higher predictive potential compared to RSM model with higher correlation coefficients of 0.9912, 0.9928 and 0.9944 for extraction yield, DPPH and ABTS scavenging activities, respectively. Thus, ANN model could be a better alternative in data fitting for the MAE of antioxidants from Vernonia cinerea leave

Extraction, characterization and antioxidant activity of fenugreek (Trigonella-Foenum Graecum) seed oil

Fenugreek (Trigonella-Foenum Graecum) is known as one of the traditional and most promising medicinal herbs belongs to the leguminous family. The seeds of fenugreek have been extensively studied for the treatment of inflammation, cancer and diabetes. In this study, fenugreek seed oil was extracted and evaluated for its chemical compositions and bonding through gas chromatography coupled to mass spectrometry (GC-MS) and Fourier transform infrared spectroscopy (FT-IR) analysis, respectively. The antioxidant activity against 2,2-diphenyl-picrylhydrazyl (DPPH) and 2,2′-Azino-bis-3-ethylbenzothiazoline-6-sulfonic acid (ABTS+•) radicals, total phenolic content (TPC) and total flavonoid content (TFC) of the oil were also studied. The capacity of antioxidants detected by ABTS was stronger than that by DPPH. A total number of 23 chemical compounds were detected and identified in fenugreek seed oil comprising of 99% of the total oil through GC-MS analysis. The major compounds of the extracted oil were linoleic acid (54.13%), palmitic acid (16.21%), pinene (4.56%), 4-Pentyl-1-(4-propylcyclohexyl)-1-cyclohexene (3.87%) and linoleic acid methyl ester (3.19%). FTIR analysis confirmed the presence of carboxyl group in the oil which were more dominated by unsaturated essential fatty acids. Moreover, the oil of fenugreek seed indicated a strong antioxidant radical scavenging activity against both DPPH and ABTS assays with an IC50 of 172.6 ± 3.1 and 161.3 ± 2.21, respectively. The TPC and TFC of the oil were 38.97 ± 0.34 mg GAE/g. oil and 14.417 ± 0.23 mg QE/g.oil. Thus, this study suggests that the fenugreek seed oil could be used for pharmaceutical purposes

Evaluation of neuronal inflammation and oxidative DNA damage in different haptoglobin phenotypes of Nigerian type-2 diabetes mellitus population

Background: Oxidative stress is a major factor in the pathogenesis and progression of the clinical condition type 2 Diabetes Mellitus (DM) related to adverse biochemical/molecular interactions. Aim and Objectives: To determine whether haptoglobin phenotypes predispose DM patients to vascular complications and neuronal damage. Material and Methods: A total of 74 subjects were assessed out of which 31 had treated and untreated diabetes complicated with hypertension, 26 had treated and untreated uncomplicated DM and 17 were apparently healthy subjects who served as controls. Body Mass Index (BMI), Systolic Blood Pressure (SBP) and Diastolic Blood Pressure (DBP), serum Glucose (GLU), protein S100B and 8-Hydroxy-2-deoxyguanosine (8-OHdG) were determined in all subjects alongside the characterization of Haptoglobin (Hp) phenotypes. Results: BMI, SBP, DBP, GLU, protein S100B and 8-OHdG in treated and untreated complicated and uncomplicated DM patients were higher when compared to controls (p < 0.05). Hp 2 allele (Hp 2-1 and Hp2-2) was seen to be associated with poor glucose control, higher blood pressure and increased neuronal damage in both complicated and uncomplicated DM. It was also seen that the possession of Hp 2 gene was associated with a lower response to treatment. Conclusion: The Hp 2 allele could be a predisposing factor in developing diabetes related complications like hypertension and neuronal damage

Combined Synergistic Effects of Aqueous Extracts of Parquetina nigrescens, Camellia sinensis and Telfaria occidentalis on Bone Marrow Haemopoietic Multipotent Stem Cells Proliferation in Irradiated Guinea Pigs

Cancer which is one of the most threatening human diseases is most commonly treated by chemotherapy and radiotherapy. However, these therapies are not tumor-specific. Normal tissues, particularly the bone marrow (BM), are extremely vulnerable to cytotoxicity caused by these therapies. How rapidly patients recover from these treatment modalities greatly depends on the percentage of resting stem cells remaining after such treatment. Antidotes are required for the untoward side effects of these therapies. As a means to protect stem cells or help damaged stem cells to recover, the use of biological response modifiers (BRMs) has received attention. The use of fruits or vegetables has the benefits of providing a cocktail of many different phytochemicals with multiple actions including antioxidant and anti-inflammatory effects. Certain whole-food extracts, such as blueberry, dietary fatty acids, particularly oleic acid and linoleic acid have been reported recently to actively promote the proliferation of haemopoietic stem cells [1]

Microstructural and microchemical characterization of valorized cola nitida pod wastes

The inherent environmental effects of the accumulated kola nut pod waste products have become a subject of discussion among many researchers. The need then arises for their alternative use as nutraceutical bioproducts. The physical and chemical analytical techniques are often required for the standardization of these bioproducts in order to determine and maintain their quality characteristics. The dataset presented in this study provided information on the chemical profile, physisorption and thermo-analytical screening of Cola nut pod extracts. Six sets of physicochemical methods were employed to characterize the phenolic extracts. The result obtained clearly revealed the presence of two-hundred and fifty-five phenolic bioactive. Also presented was the thermal stability, morphological and microstructural surface area configuration of the Cola nitida pod extracts. The information obtained from this study could be used in determining the quality of food wastes bioproducts in nutria-pharmaceutical applications