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Institution

Ladoke Akintola University of Technology

EducationOgbomoso, Nigeria
About: Ladoke Akintola University of Technology is a education organization based out in Ogbomoso, Nigeria. It is known for research contribution in the topics: Population & Adsorption. The organization has 2786 authors who have published 3066 publications receiving 36850 citations. The organization is also known as: Oyo State University of Technology & LAUTECH.


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Journal ArticleDOI
TL;DR: The hypoglycaemic and anti‐hyperglycaemic activities of a methanol extract of Morinda lucida Benth (Rubiaceae) leaves were studied in normal and streptozotocin‐diabetic rats.
Abstract: The hypoglycaemic and anti-hyperglycaemic activities of a methanol extract of Morinda lucida Benth. (Rubiaceae) leaves were studied in normal and streptozotocin-diabetic rats. In normal rats, the extract demonstrated a significant (P < 0.05) and dose-dependent hypoglycaemic activity within 4 h after oral administration. The plasma glucose level of 400 mg kg(-1) of the extract at 4 h was 42.5 +/- 0.4 mg/100 mL (control 67.4 +/- 1.2 mg/100 mL). After 12 h, the plasma glucose level of rats administered 50, 100, 200 or 400 mg kg(-1) extract fell to 51.9 +/- 1.2, 47.3 +/- 0.8, 43.1 +/- 0.4 and 40.0 +/- 0.5 mg/100 mL, respectively. In hyperglycaemic rats, the extract produced a significant (P < 0.05) anti-diabetic effect from day 3 after oral administration, with 400 mg kg(-1) extract-treated animals having a plasma glucose level of 248.7 +/- 5.3 mg/100 mL compared with glibenclamide (10 mg kg(-1))-treated animals with a plasma glucose level of 251.5 +/- 5.8 mg/100 mL. These results suggest that the leaves of Morinda lucida have a strong glucose lowering property when administered to streptozotocin-treated rats.

65 citations

Journal ArticleDOI
TL;DR: An epidemic model based on system of ordinary differential equations is formulated by taking into account the transmission routes from symptomatic, asymptomatic and hospitalized individuals, and it is shown that the model has a globally asymPTotically stable disease-free equilibrium if the basic reproduction number of the novel coronavirus transmission is less than one.
Abstract: The novel coronavirus disease (COVID-19) caused by a new strain of severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2) remains the current global health challenge. In this paper, an epidemic model based on system of ordinary differential equations is formulated by taking into account the transmission routes from symptomatic, asymptomatic and hospitalized individuals. The model is fitted to the corresponding cumulative number of hospitalized individuals (active cases) reported by the Nigeria Centre for Disease Control (NCDC), and parameterized using the least squares method. The basic reproduction number which measures the potential spread of COVID-19 in the population is computed using the next generation operator method. Further, Lyapunov function is constructed to investigate the stability of the model around a disease-free equilibrium point. It is shown that the model has a globally asymptotically stable disease-free equilibrium if the basic reproduction number of the novel coronavirus transmission is less than one. Sensitivities of the model to changes in parameters are explored, and safe regions at certain threshold values of the parameters are derived. It is revealed further that the basic reproduction number can be brought to a value less than one in Nigeria, if the current effective transmission rate of the disease can be reduced by 50%. Otherwise, the number of active cases may get up to 2.5% of the total estimated population. In addition, two time-dependent control variables, namely preventive and management measures, are considered to mitigate the damaging effects of the disease using Pontryagin’s maximum principle. The most cost-effective control measure is determined through cost-effectiveness analysis. Numerical simulations of the overall system are implemented in $$\hbox {MatLab}^\circledR $$ for demonstration of the theoretical results.

65 citations

Journal ArticleDOI
TL;DR: In this paper, the authors used treated sawdust as an adsorbent for the removal of methylene blue (MB) dye, and the adsorption equilibrium and kinetics of MB dye on this adorbent were then examined at 25 o C.
Abstract: The aim of this study is to use treated sawdust as an adsorbent for the removal of methylene blue (MB) dye. The adsorption equilibrium and kinetics of methylene blue dye on this adsorbent were then examined at 25 o C. The adsorption isotherm of the methylene blue on the treated adsorbent was determined and correlated with common iso7 therm equations. The sorption data were then correlated with the Langmuir and the Freundlich adsorption isotherm models. The Langmuir isotherm exhibited a better fit for the adsorption data than the Freundlich isotherm with maximum monolayer adsorption capacity of 236.16 mg g –1 . The kinetics of methylene blue adsorption on the treated adsorbent has also been studied by fitting the data in the Lagergren’s first order, the Ho7McKay’s pseudo second or7 der, the Elovich and the Intraparticulate kinetic models. It was observed that the removal of methylene blue over the treated adsorbent undergoes the second order processes at all the concentrations of the dye. The kinetic parameters of this best7fit model were calculated and discussed.

64 citations

Journal ArticleDOI
TL;DR: The study showed morphological alterations consistent with neuronal injury, biochemical changes of oxidative stress and a rise in plasma glutamate and glutamine that support the need for cautious consideration in the indiscriminate use of MSG as a dietary flavor enhancer.

64 citations

Journal ArticleDOI
TL;DR: In this article, the authors present some advancements in the usages of metal-organic frameworks (MOFs) for the adsorptive removal of different contaminants from the ecosystems, including heavy metals, CO2, chlorinated volatile organic compounds (CVOCs), dyes, pesticides, food additives, veterinary, pharmaceutical and personal care products (PPCP), antibiotics, biological and chemical weapons, other industrial chemicals, etc.

63 citations


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Performance
Metrics
No. of papers from the Institution in previous years
YearPapers
202310
202221
2021365
2020366
2019256
2018227