Modelling and optimization of syngas production from methane dry reforming over ceria-supported cobalt catalyst using artificial neural networks and Box–Behnken design

Bamidele V. Ayodele,Chin Kui Cheng 한국공업화학회 2015 Journal of Industrial and Engineering Chemistry Vol.32 No.-

In the present study, synthesis gas was produced from dry reforming of methane over ceria supportedcobalt catalyst in a fixed bed stainless steel reactor. Artificial neural network (ANN) and Box Behnkendesign (BBD) were employed to investigate the effects of reactant partial pressures, reactant feed ratios,reaction temperature and their optimum conditions. Good agreement was shown between the predictedoutputs from the ANN model and the experimental data. Optimum reactant feed ratio of 0.60 and CH4partial pressure of 46.85 kPa were obtained at 728 8C with corresponding conversions of 74.84% and76.49% for CH4 and CO2, respectively.

Pulmonary functions of patients with isolated mandibular fractures: a preliminary report

Bamidele Adetokunbo Famurewa,Fadekemi Olufunmilayo Oginni,Stephen Babatunde Aregbesola,Gregory Efosa Erhabor 대한구강악안면외과학회 2020 대한구강악안면외과학회지 Vol.46 No.1

Objectives: The aim of this study was to evaluate pulmonary function in patients with mandibular fractures and to determine the pattern of pulmonary functions in these patients. Materials and Methods: This was a cross-sectional study of pulmonary functions in Nigerian non-smoking patients with isolated mandibular fractures managed at our health institution from December 2015 to June 2017. Forced vital capacity (FVC), forced expiratory volume in one second (FEV1), peak expiratory flow rate (PEFR), and ratio of FEV1 to FVC (FEV1/FVC) were measured for all participants using a portable spirometer just before treatment. The pulmonary indices were compared with the predicted reference values for Nigerians to determine the respiratory pattern. Results: Forty participants consisting of six females (15.0%) and thirty-four males (85.0%) with a female to male ratio of 1:5.7 were included in this study. The mean patient age was 34.5±13.1 years (range, 17-63 years). The mean FVC, FEV1, FEV1/FVC, and PEFR were 3.8±1.2 L, 3.0±1.0 L, 74.3%±13.8%, and 5.2±2.2 L/s, respectively. Comparison of data with predicted values revealed that 17 subjects (42.5%) had normal pulmonary function pattern while 23 subjects (57.5%) had features suggestive of obstructive and restrictive pulmonary function patterns. Conclusion: Isolated mandibular fractures presented with abnormal pulmonary function pattern.

Impact of Single Parenthood on Adolescent Academic Performance in Secondary School Students, Ogun State

Bamidele Segun Donald, Odeyemi APEC국제교육협력원 2019 Asia-Pacific Cybereducation Journal Vol.15 No.1

The study examined the impact of single parenthood on adolescents’ academic performance in secondary schools in Owode Local Government Area of Mowe, Ogun State, Nigeria. In this study, relevant and extensive literatures were reviewed under relevant sub-headings. The descriptive research survey was used to assess the respondents’ opinions using the questionnaire. In this study, 130 (one hundred and thirty) respondents were selected through simple random technique and used as samples to represent the population of the study. A total of three (3) null hypotheses were formulated and tested in this study. Also, the independent t-test statistical tool was used to test and analyse the null hypotheses at 0.05 level of significance. The three hypotheses were tested and accepted to have significant importance on adolescents’ academic performance.

Traditional oil palm (Elaeis guineensis jacq.) and its medicinal uses: A review

Bamidele Victor Owoyele,Gbenga Opeyemi Owolabi 셀메드 세포교정의약학회 2014 셀메드 (CellMed) Vol.4 No.3

The oil palm ( Elaeis guineensis Jacq.) has been reported to originate along the gulf of the guinea in West Africa. The various parts of the tree have been used locally and traditionally for various medicinal purposes. Some of these uses have been proved by scientific experiments. Palm oil is extracted from the mesocarp of the fruit and is used traditionally for the treatment of headaches, pains, rheumatism, cardiovascular diseases, arterial thrombosis and an atherosclerosis due to its rich phytonutrients. The leaves are also used for the treatment of cancer, cardiovascular diseases, kidney diseases and wound healing. The sap also has been found to be rich in phytonutrients that can be used to treat various diseases. This review therefore seeks to explore many of the uses of the oil palm using the various parts of the oil palm.

Synergistic interaction between acetaminophen and L-carnosine improved neuropathic pain via NF-κB pathway and antioxidant properties in chronic constriction injury model

Bamidele Victor Owoyele,Ahmed Olalekan Bakare,Olutayo Folajimi Olaseinde,Mohammed Jelil Ochu,Akorede Munirdeen Yusuff,Favour Ekebafe,Oluwadamilare Lanre Fogabi,Treister Roi 대한통증학회 2022 The Korean Journal of Pain Vol.35 No.3

Background: Inflammation is known to underlie the pathogenesis in neuropathic pain. This study investigated the anti-inflammatory and neuroprotective mechanisms involved in antinociceptive effects of co-administration of acetaminophen and L-carnosine in chronic constriction injury (CCI)-induced peripheral neuropathy in male Wistar rats. Methods: Fifty-six male Wistar rats were randomly divided into seven experimental groups (n = 8) treated with normal saline/acetaminophen/acetaminophen + L-carnosine. CCI was used to induce neuropathic pain in rats. Hyperalgesia and allodynia were assessed using hotplate and von Frey tests, respectively. Investigation of spinal proinflammatory cytokines and antioxidant system were carried out after twenty-one days of treatment. Results: The results showed that the co-administration of acetaminophen and Lcarnosine significantly (P < 0.001) increased the paw withdrawal threshold to thermal and mechanical stimuli in ligated rats compared to the ligated naïve group. There was a significant (P < 0.001) decrease in the levels of nuclear factor kappa light chain enhancer B cell inhibitor, calcium ion, interleukin-1-beta, and tumour necrotic factor-alpha in the spinal cord of the group coadministered with acetaminophen and L-carnosine compared to the ligated control group. Co-administration with acetaminophen and L-carnosine increased the antioxidant enzymatic activities and reduced the lipid peroxidation in the spinal cord. Conclusions: Co-administration of acetaminophen and L-carnosine has anti-inflammatory effects as a mechanism that mediate its antinociceptive effects in CCIinduced peripheral neuropathy in Wistar rat.

Analgesic and Anti-Inflammatory Effects of Aqueous Extract of Zea mays Husk in Male Wistar Rats

Bamidele V. Owoyele,Muhammed N. Negedu,Samuel O. Olaniran,Samuel A. Onasanwo,Stephen O. Oguntoye,Joseph O. Sanya,Sabitiu A. Oyeleke,Adekemi J. Ibidapo,Ayodele O. Soladoye 한국식품영양과학회 2010 Journal of medicinal food Vol.13 No.2

The analgesic and anti-inflammatory activities of Zea mays husk extract (25, 50, 100, and 200mg/kg of body weight) were investigated in rats. The hot plate and formalin-induced paw licking models were used to assess analgesic effects of the extract, whereas the carrageenan and cotton pellet models were used for the evaluation of anti-inflammatory activity. The extract at 25, 50, 100, and 200mg/kg body weight significantly (P<.05) reduced pain stimuli and inflammatory activity when compared with the control group. The reductions in paw licking time and granuloma weight in the formalin and cotton pellet models were both dose dependent. Also, the 200mg/kg doses of the extract produced higher effects compared with indomethacin (5mg/kg body of weight) in all the tests. These observations suggest that Z. mays husk extract may have analgesic and anti-inflammatory effects that may be due to its tannins and polyphenolic constituents. These results provide scientific validation for the use of Z. mays husk decoction for the treatment of pain and inflammatory conditions in Nigerian folk medicine.

Machine learning of LWR spent nuclear fuel assembly decay heat measurements

Ebiwonjumi, Bamidele,Cherezov, Alexey,Dzianisau, Siarhei,Lee, Deokjung Korean Nuclear Society 2021 Nuclear Engineering and Technology Vol.53 No.11

Measured decay heat data of light water reactor (LWR) spent nuclear fuel (SNF) assemblies are adopted to train machine learning (ML) models. The measured data is available for fuel assemblies irradiated in commercial reactors operated in the United States and Sweden. The data comes from calorimetric measurements of discharged pressurized water reactor (PWR) and boiling water reactor (BWR) fuel assemblies. 91 and 171 measurements of PWR and BWR assembly decay heat data are used, respectively. Due to the small size of the measurement dataset, we propose: (i) to use the method of multiple runs (ii) to generate and use synthetic data, as large dataset which has similar statistical characteristics as the original dataset. Three ML models are developed based on Gaussian process (GP), support vector machines (SVM) and neural networks (NN), with four inputs including the fuel assembly averaged enrichment, assembly averaged burnup, initial heavy metal mass, and cooling time after discharge. The outcomes of this work are (i) development of ML models which predict LWR fuel assembly decay heat from the four inputs (ii) generation and application of synthetic data which improves the performance of the ML models (iii) uncertainty analysis of the ML models and their predictions.

Validation of nuclide depletion capabilities in Monte Carlo code MCS

Ebiwonjumi, Bamidele,Lee, Hyunsuk,Kim, Wonkyeong,Lee, Deokjung Korean Nuclear Society 2020 Nuclear Engineering and Technology Vol.52 No.9

In this work, the depletion capability implemented in Monte Carlo code MCS is investigated to predict the isotopic compositions of spent nuclear fuel (SNF). By comparison of MCS calculation results to post irradiation examination (PIE) data obtained from one pressurized water reactor (PWR), the validation of this capability is conducted. The depletion analysis is performed with the ENDF/B-VII.1 library and a fuel assembly model. The transmutation equation is solved by the Chebyshev Rational Approximation Method (CRAM) with a depletion chain of 3820 isotopes. 18 actinides and 19 fission products are analyzed in 14 SNF samples. The effect of statistical uncertainties on the calculated number densities is discussed. On average, most of the actinides and fission products analyzed are predicted within ±6% of the experiment. MCS depletion results are also compared to other depletion codes based on publicly reported information in literature. The code-to-code analysis shows comparable accuracy. Overall, it is demonstrated that the depletion capability in MCS can be reliably applied in the prediction of SNF isotopic inventory.

Propagation of radiation source uncertainties in spent fuel cask shielding calculations

Ebiwonjumi Bamidele Francis,Trong Mai Nhan Nguyen,이현철,이덕중 한국원자력학회 2022 Nuclear Engineering and Technology Vol.54 No.8

The propagation of radiation source uncertainties in spent nuclear fuel (SNF) cask shielding calculations is presented in this paper. The uncertainty propagation employs the depletion and source term outputs of the deterministic code STREAM as input to the transport simulation of the Monte Carlo (MC) codes MCS and MCNP6. The uncertainties of dose rate coming from two sources: nuclear data and modeling parameters, are quantified. The nuclear data uncertainties are obtained from the stochastic sampling of the cross-section covariance and perturbed fission product yields. Uncertainties induced by perturbed modeling parameters consider the design parameters and operating conditions. Uncertainties coming from the two sources result in perturbed depleted nuclide inventories and radiation source terms which are then propagated to the dose rate on the cask surface. The uncertainty analysis results show that the neutron and secondary photon dose have uncertainties which are dominated by the cross section and modeling parameters, while the fission yields have relatively insignificant effect. Besides, the primary photon dose is mostly influenced by the fission yield and modeling parameters, while the cross-section data have a relatively negligible effect. Moreover, the neutron, secondary photon, and primary photon dose can have uncertainties up to about 13%, 14%, and 6%, respectively.

Uncertainty quantification of PWR spent fuel due to nuclear data and modeling parameters

Ebiwonjumi, Bamidele,Kong, Chidong,Zhang, Peng,Cherezov, Alexey,Lee, Deokjung Korean Nuclear Society 2021 Nuclear Engineering and Technology Vol.53 No.3

Uncertainties are calculated for pressurized water reactor (PWR) spent nuclear fuel (SNF) characteristics. The deterministic code STREAM is currently being used as an SNF analysis tool to obtain isotopic inventory, radioactivity, decay heat, neutron and gamma source strengths. The SNF analysis capability of STREAM was recently validated. However, the uncertainty analysis is yet to be conducted. To estimate the uncertainty due to nuclear data, STREAM is used to perturb nuclear cross section (XS) and resonance integral (RI) libraries produced by NJOY99. The perturbation of XS and RI involves the stochastic sampling of ENDF/B-VII.1 covariance data. To estimate the uncertainty due to modeling parameters (fuel design and irradiation history), surrogate models are built based on polynomial chaos expansion (PCE) and variance-based sensitivity indices (i.e., Sobol' indices) are employed to perform global sensitivity analysis (GSA). The calculation results indicate that uncertainty of SNF due to modeling parameters are also very important and as a result can contribute significantly to the difference of uncertainties due to nuclear data and modeling parameters. In addition, the surrogate model offers a computationally efficient approach with significantly reduced computation time, to accurately evaluate uncertainties of SNF integral characteristics.