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Removal of Pigments from Palm Oil Using Activated Ibusa Kaolinite: Equilibrium,Kinetic and Thermodynamic Studies

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Coronary artery disease and heart failure:Late-breaking trials presented at American Heart Association scientific session 2023

Journal of Minerals and Materials Characterization and Engineering（矿物质和材料特性和工程） 2019年第4期

作者： Vincent Nwoye Okafor ikechukwu abuchi nnanwube John Ifeanyi Obibuenyi Okechukwu Dominic Onukwuli Regina Obiageli Ajemba

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World Journal of Cardiology 2024年第7期16卷 389-396页

作者： Avilash Mondal Sashwath Srikanth Sanjana Aggarwal Naga R Alle Olufemi Odugbemi ikechukwu Ogbu Rupak Desai Department of Internal Medicine Nazareth HospitalPhiladelphiaPA 19152United States Department of Internal Medicine East Carolina University GreenvilleGreenvilleNC 27834United States Department of Internal Medicine Hamdard Institute of Medical Sciences and ResearchNew Delhi 110062India Department of Medicine Narayana Medical CollegeNelloreAndhra Pradesh 524003India Department of Internal Medicine Lincoln Medical CenterBronxNY 10451United States Department of Internal Medicine Mountainview Hospital Sunrise GMELas VegasNV 89108United States Independent Researcher AtlantaGA 30079United States

The late-breaking science presented at the 2023 scientific session of the American Heart Association paves the way for future pragmatic trials and provides meaningful information to guide management strategies in coronary artery disease and heart failure(HF).The dapagliflozin in patient with acute myocardial infarction(DAPA-MI)trial showed that dapagliflozin use among patients with acute MI without a history of diabetes mellitus or chronic HF has better cardiometabolic outcomes compared with placebo,with no difference in cardiovascular *** MINT trial showed that in patients with acute MI and anemia(Hgb<10 g/dL),a liberal transfusion goal(Hgb≥10 g/dL)was not superior to a restrictive strategy(Hgb 7-8 g/dL)with respect to 30-day all-cause death and recurrent *** ORBITA-2 trial showed that among patients with stable angina and coronary stenoses causing ischemia on little or no antianginal therapy,percutaneous coronary intervention results in greater improvements in anginal frequency and exercise times compared with a sham *** ARIES-HM3 trial showed that in patients with advanced HF who received a HeartMate 3 levitated left ventricular assist device and were anticoagulated with a vitamin K antagonist,placebo was noninferior to daily aspirin with respect to the composite endpoint of bleeding and thrombotic events at 1 *** TEAMMATE trial showed that everolimus with low-dose tacrolimus is safe in children and young adults when given≥6 months after cardiac *** patients being treated for HF with reduced ejection fraction(HFrEF)with specific out-of-pocket(OOP)costs for multiple medication options at the time of the clinical encounter may reduce‘contingency planning’and increase the extent to which patients are taking the medications decided *** primary outcome,which was cost-informed decisionmaking,defined as the clinician or patient mentioning costs of HFrEF medication,occurred in 49%of encounters with the checklist only

关键词： Heart failure Coronary artery disease Clinical trials Myocardial infarction Cardiovascular outcome Percutaneous coronary intervention Blood transfusion Cardiac transplant

Sex and racial disparities in non-alcoholic fatty liver disease-related cardiovascular events: National inpatient sample analysis (2019)

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World Journal of Cardiology 2024年第3期16卷 137-148页

作者： Rupak Desai Ali Tariq Alvi Advait Vasavada Yashwitha Sai Pulakurthi Bhavin Patel Adil Sarvar Mohammed Shreyans Doshi ikechukwu Ogbu Independent Researcher AtlantaGA 30079United States Department of Internal Medicine HCA Florida Westside HospitalPlantationFL 33324United States Department of Internal Medicine M.P.Shah Medical CollJamnagar 361008India Department of Internal Medicine Saint Michael Medical CenterNewarkNJ 07102United States Department of Internal Medicine Trinity Health Oakland HospitalPontiacMI 48341United States Department of Internal Medicine Central Michigan University College of MedicineSaginawMI 48602United States Department of Internal Medicine UCF College of Medicine HCA GME ConsortiumGainesvilleFL 32605United States Department of Internal Medicine Mountainview HospitalLas VegasNV 89108United States

BACKGROUND Non-alcoholic fatty liver disease(NAFLD)increases cardiovascular disease(CVD)risk irrespective of other risk ***,large-scale cardiovascular sex and race differences are poorly *** To investigate the relationship between NAFLD and major cardiovascular and cerebrovascular events(MACCE)in subgroups using a nationally representative United States inpatient *** We examined National Inpatient Sample(2019)to identify adult hospitalizations with NAFLD by age,sex,and race using ICD-10-CM *** and demographic characteristics,comorbidities,and MACCE-related mortality,acute myocardial infarction(AMI),cardiac arrest,and stroke were compared in NAFLD cohorts by sex and *** regression analyses were adjusted for sociodemographic characteristics,hospitalization features,and *** We examined 409130 hospitalizations[median 55(IQR 43-66)years]with *** was more common in females(1.2%),Hispanics(2%),and Native Americans(1.9%)than *** often reported non-elective admissions,Medicare enrolment,the median age of 55(IQR 42-67),and poor *** had higher obesity and uncomplicated diabetes but lower hypertension,hyperlipidemia,and complicated diabetes than *** had a median age of 48(IQR 37-60),were Medicaid enrollees,and had non-elective *** had greater diabetes and obesity rates than whites but lower hypertension and ***,all-cause mortality,AMI,cardiac arrest,and stroke were all greater in elderly individuals(P<0.001).MACCE,AMI,and cardiac arrest were more common in men(P<0.001).Native Americans(aOR 1.64)and Asian Pacific Islanders(aOR 1.18)had higher all-cause death risks than *** Increasing age and male sex link NAFLD with adverse MACCE outcomes;Native Americans and Asian Pacific Islanders face higher mortality,highlighting a need for tailored interventions and care.

关键词： Non-alcoholic fatty liver disease Cardiovascular disease Major cardiovascular and cerebrovascular events Sex/gender disparities Mortality

Determination of Natural Logarithm of Diffusion Coefficient and Activation Energy of Thin Layer Drying Process of Ginger Rhizome Slices

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World Journal of Engineering and Technology 2024年第1期12卷 213-228页

作者： Austin ikechukwu Gbasouzor Sam Nna Omenyi Sabuj Mallik Jude E. Njoku Department of Agricultural and Biological Engineering College of Engineering Purdue University West Lafayette IN USA Department of Mechanical Engineering Nnamdi Azikiwe University Awka Nigeria Department of Mechanical and Manufacturing and Built Environment School of Engineering University of Derby Derby UK Faculty of Engineering and Science University of Greenwich Kent UK

This study is an extension of the previous work done with ARS-680 Environmental Chamber. Drying is a complex operation that demands much energy and time. Drying is essentially important for preservation of ginger rhizome. Drying of ginger was modeled, and then the effective diffusion coefficient and activation energy were determined. For this purpose, the experiments were done at six levels of varied temperatures: 10°C, 20°C, 30°C, 40°C, 50°C and 60°C. The values of effective diffusion coefficients obtained in this work for the variously treated ginger rhizomes closely agreed with the average effective diffusion coefficients of other notable authors who determined the drying kinetics and convective heat transfer coefficients of ginger slices.

关键词： Activation Energy Diffusion Coefficients Ginger Rhizomes Drying Model Drying Time Moisture Ratio Thin Layer

Artificial Neural Network and Fuzzy Logic Based Techniques for Numerical Modeling and Prediction of Aluminum-5%Magnesium Alloy Doped with REM Neodymium

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International Journal of Nonferrous Metallurgy 2024年第1期11卷 1-19页

作者： Anukwonke Maxwell Chukwuma Chibueze ikechukwu Godwills Cynthia C. Nwaeju Osakwe Francis Onyemachi Department of Metallurgical and Materials Engineering Nnamdi Azikiwe University Awka Nigeria Department of Mechanical Engineering Nigeria Martine University Okerenkoko Nigeria

In this study, the mechanical properties of aluminum-5%magnesium doped with rare earth metal neodymium were evaluated. Fuzzy logic (FL) and artificial neural network (ANN) were used to model the mechanical properties of aluminum-5%magnesium (0-0.9 wt%) neodymium. The single input (SI) to the fuzzy logic and artificial neural network models was the percentage weight of neodymium, while the multiple outputs (MO) were average grain size, ultimate tensile strength, yield strength elongation and hardness. The fuzzy logic-based model showed more accurate prediction than the artificial neutral network-based model in terms of the correlation coefficient values (R).

关键词： Al-5%Mg Alloy Neodymium Artificial Neural Network Fuzzy Logic Average Grain Size and Mechanical Properties

COVID-19 Vaccination Uptake and Associated Factors in Selected Communities in Two Southwestern States in Nigeria

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Advances in Infectious Diseases 2024年第1期14卷 260-278页

作者： Oluseye Ayodele Ajayi Olabanjo Okunlola Ogunsola Ajibola Idowu Oluwaseun Kikelomo Ajayi Kucheli Wudiri Rita Asoka-ikechukwu Prosper Okonkwo APIN Public Health Initiatives Abuja Nigeria Department of Community Medicine Bowen University Teaching Hospital Ogbomosho Nigeria Department of Community Medicine University College Hospital Ibadan Nigeria

Introduction: COVID-19 vaccine uptake and acceptance have been a major global concern due to the prevalent misinformation and disinformation that has characterized the vaccine rollout worldwide. This study aimed to assess COVID-19 vaccine uptake and acceptance, and associated factors among selected community members in two states in southwestern Nigeria. Method: We conducted a cross-sectional study using a multistage sampling technique. Fifty catchment settlements of 10 health facilities in each of Oyo and Ogun States targeted for a COVID-19 infection prevention and control intervention were randomly selected. Four households were targeted per settlement. All households that refused access were replaced, to ensure a minimum of four households randomly selected per settlement. The primary household decision-maker was interviewed in each household. Information elicited included respondents’ sociodemographic characteristics, health history, knowledge, risk and benefit perception about the COVID-19 vaccine, vaccine uptake, and willingness to be vaccinated. The study was conducted from July–August 2021. Data were analyzed using SPSS IBM version 23. Result: Four hundred household decision-makers were surveyed in Oyo and Ogun states, after replacement. The mean age of the respondents was 43.0 ± 11.0 years. The majority, 346 (86.5%) had heard about COVID-19 vaccination, but only 47 (13.6%) had received a COVID-19 vaccination. Of the 299 respondents who reported not receiving a COVID-19 vaccination, 166 (55.5%) were willing to be vaccinated. In univariate analysis, respondents who were female had tertiary education, perceived that COVID-19 vaccines are free and accessible, perceived that COVID-19 vaccines have minimal side effects, and perceived higher benefits of COVID-19 vaccination had higher odds of being vaccinated. In contrast, younger respondents, respondents with higher knowledge scores on COVID-19 preventive measures, and with chronic illness had lower likelihoods

关键词： COVID-19 Vaccination Vaccine Vaccine Uptake

Proximate analyses,in vitro antioxidant activity and GC-MS analyses of fermented Pentaclethra macrophylla seeds

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Life Research 2024年第3期7卷 2-8页

作者： ikechukwu Okoro Parker Joshua Innocent Okagu Christian Amah Nnamani Ikenna Nene Chiaka-Onyemeze Emeka Anaduaka David Obasi Prince Okoroh Daniel Orieke Victor Ogugua Department of Medical Biochemistry College of Health SciencesDavid Umahi Federal University of Health SciencesUburuNigeria Department of Biochemistry University of NigeriaNsukkaNigeria Department of Biochemistry State University of Medical and Applied SciencesIgbo-EnoNigeria Department of Medical Laboratory Sciences State University of Medical and Applied SciencesIgbo-EnoNigeria

The present study assessed the proximate composition,in vitro antioxidant activity and GC-MS analyses of fermented Pentaclethra macrophylla seeds extract(FPMSE).The in vitro antioxidant activity was assessed using 2,2-diphenyl-1-picrylhydrazl(DPPH)while Gas Chromatography-Mass Spectrophotometry(GC-MS)technique was used to identify the volatile compounds in *** revealed a dose dependent percentage inhibition of the extract on DPPH *** composition of FPMSE constitutes respectively;ash(0.33±0.12%),protein(2.19±0.08%),fats and oil(80.60±0.00%),carbohydrate(16.88±0.00%)while moisture and fibre were not ***,the pulverised sample constitute respectively;ash(1.27±0.58%),protein(10.51±0.60%),moisture(8.27±0.12%),fats and oil(32.33±0.12%),fibre(7.27±0.12%)and carbohydrate(40.35±0.00%).GC-MS analyses revealed fourteen(14)fatty acids including Octadecanoic acid(1.95%),Benzyloxymethylimine(43.89%),2-Allylpent-4-enoic acid benzyl ester(26.25%),Hexadecanoic acid,methyl ester(1.09%),Oleic Acid(0.25%),9,12-Octadecadienoic acid,methyl ester(Omega-6-fatty acid)(1.52%).The bioactive compounds identified in FPMSE could contribute to the pharmacological properties of *** seeds and hence,could be of considerable interest for the development of new drugs.

关键词： Pentaclethra macrophylla in vitro antioxidant GC-MS fatty acids

Hydrometallurgical Processing of a Nigerian Galena Ore in Nitric Acid: Characterization and Dissolution Kinetics

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Journal of Minerals and Materials Characterization and Engineering 2018年第3期6卷 271-293页

作者： ikechukwu A. nnanwube Okechukwu D. Onukwuli Department of Chemical Engineering Nnamdi Azikiwe University Awka Nigeria

The physico-chemical characterization and dissolution kinetics study of a Nigerian galena ore in nitric acid has been undertaken. The effects of acid concentration, temperature, particle size, stirring speed and solid/liquid ratio on the leaching of galena were investigated. The X-ray fluorescence data showed that the galena ore used in the study exists mainly as PbS. Lead (Pb) was detected as the major metal for galena with metals such as Na, Ca, Fe, Zn, Al and Mg occurring as minor elements. The XRD analysis also confirmed the originality of the galena ore as it revealed that galena exists mainly as lead sulphide (PbS). The Fourier transform infrared (FTIR) analysis also supported the XRF and XRD analysis by revealing the presence of sulphur in the ore. The scanning electron micrograph (SEM) analysis revealed a high level of crystallinity of the ore. Results of the leaching studies showed that galena dissolution in nitric acid (HNO3) increases with increasing concentration of nitric acid, temperature and stirring rate, and decreases with increasing particle diameter and solid/liquid ratio. In 10 M HNO3 at a temperature of 90°C using 75 μm particle diameter with solid/liquid ratio of 20 g/L and stirring speed of 540 rpm, about 84.5% of galena was dissolved in 150 minutes. The values of activation energy, order of reaction and Arrhenius constant calculated at the conditions above for galena were 27.01 KJ/mol, 0.93, 26.71 s-1 respectively. The mechanism of dissolution of galena was established to follow the shrinking core model for the diffusion controlled mechanism, with surface chemical reaction as the rate controlling step for the leaching process. Finally, the XRD analysis of the post-leaching residue revealed the presence of gahnite and anglesite.

关键词： Galena Nigeria Characterization Leaching Dissolution Kinetics Nitric Acid

Application of Machine Learning for Flood Prediction and Evaluation in Southern Nigeria

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Atmospheric and Climate Sciences 2024年第3期14卷 299-316页

作者： Emeka Bright Ogbuene Chukwumeuche Ambrose Eze Obianuju Getrude Aloh Andrew Monday Oroke Damian Onuora Udegbunam Josiah Chukwuemeka Ogbuka Fred Emeka Achoru Vivian Amarachi Ozorme Obianuju Anwara ikechukwu Chukwunonyelum Anthonia Nneka Nebo Obiageli Jacinta Okolo Centre for Environmental Management and Control (CEMAC) University of Nigeria Enugu Nigeria Department of Geography Enugu State University of Science and Technology ESUT Enugu Nigeria School of Civil Engineering Newcastle University Newcastle upon Tyne UK

This study explored the application of machine learning techniques for flood prediction and analysis in southern Nigeria. Machine learning is an artificial intelligence technique that uses computer-based instructions to analyze and transform data into useful information to enable systems to make predictions. Traditional methods of flood prediction and analysis often fall short of providing accurate and timely information for effective disaster management. More so, numerical forecasting of flood disasters in the 19th century is not very accurate due to its inability to simplify complex atmospheric dynamics into simple equations. Here, we used Machine learning (ML) techniques including Random Forest (RF), Logistic Regression (LR), Naïve Bayes (NB), Support Vector Machine (SVM), and Neural Networks (NN) to model the complex physical processes that cause floods. The dataset contains 59 cases with the goal feature “Event-Type”, including 39 cases of floods and 20 cases of flood/rainstorms. Based on comparison of assessment metrics from models created using historical records, the result shows that NB performed better than all other techniques, followed by RF. The developed model can be used to predict the frequency of flood incidents. The majority of flood scenarios demonstrate that the event poses a significant risk to people’s lives. Therefore, each of the emergency response elements requires adequate knowledge of the flood incidences, continuous early warning service and accurate prediction model. This study can expand knowledge and research on flood predictive modeling in vulnerable areas to inform effective and sustainable contingency planning, policy, and management actions on flood disaster incidents, especially in other technologically underdeveloped settings.

关键词： Machine Learning Flood Prediction Evaluation Southern Nigeria