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Soil quality estimation using environmental covariates and predictive models:an example from tropical soils of Nigeria

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Ecological Processes 2022年第1期11卷 946-967页

作者： Isong Abraham Isong kingsley john Paul Bassey Okon Peter Ikor Ogban Sunday Marcus Afu Department of Soil Science Faculty of AgricultureUniversity of CalabarCalabar PMB 1115Nigeria Department of Soil Science and Soil Protection Faculty of AgrobiologyFoodand Natural ResourcesCzech University of Life SciencesKamýcká12916500 PragueCzech Republic

Background:Information addressing soil quality in developing countries often depends on results from small experimental plots,which are later extrapolated to vast areas of agricultural *** approach often results in misin-formation to end-users of land for sustainable soil nutrient *** objective of this study was to estimate the spatial variability of soil quality index(SQI)at regional scale with predictive models using soil–environmental ***:A total of 110 composite soil samples(0–30 cm depth)were collected by stratified random sampling schemes at 2–5 km intervals across the Cross River State,Nigeria,and selected soil physical and chemical properties were *** employed environmental covariates derived from a digital elevation model(DEM)and Senti-nel-2 imageries for our modelling *** measured soil quality using two approaches[total data set(TDS)and minimum data set(MDS)].Two scoring functions were also applied,linear(L)and non-linear(NL),yielding four indices(MDS_L,MDS_NL,TDS_L,and TDS_NL).Eleven soil quality indicators were used as TDS and were further screened for MDS using principal component analysis(PCA).Random forest(RF),support vector regression(SVR),regression kriging(RK),Cubist regression,and geographically weighted regression(GWR)were applied to predict SQI in unsampled ***:The computed SQI via MDS_L was classified into five classes:≤0.38,0.38–0.48,0.48–0.58,0.58–0.68,and≥0.68,representing very low(classⅤ),low(classⅣ),moderate(classⅢ),high(classⅡ)and very high(classⅠ)soil quality,*** model was robust in predicting soil quality(R^(2)=0.21,CCC=0.39,RMSE=0.15),while RF was a model with inferior performance(R^(2)=0.02,CCC=0.32,RMSE=0.15).Soil quality was high in the southern region and low in the northern *** soil quality class(>49%)and moderate soil quality class(>14%)dominate the study area in all predicted models ***:Structural stability index,sand content,soil oga

关键词： Decision support system Geospatial technology Predictive model Remote sensing Soil quality

Index model equation analysis:A case study of the risk and source of inorganic contaminants in roadside uncontaminated soil of the Egi oil producing area,Niger Delta

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International Journal of Sediment Research 2023年第6期38卷 891-900页

作者： Elechi Owhoeke Asmat Ali Okorondu Justin Nnaemeka kingsley john Orie Julius Nkeonyeasua Ehiwario Abdur Rashid Department of Industrial Chemistry/Petrochemical Technology School of Science Laboratory TechnologyUniversity of Port Harcourt School of Environmental Studies China University of Geosciences State Key Laboratory of Biogeology and Environmental Geology China University of Geosciences Department of Environmental Management Federal University of Technology Owerri Department of Pure and Industrial Chemistry University of Port Harcourt Department of Microbiology Faculty of Life ScienceAmbrose Alli University

This study examined the sources,health risk and pollution status of selected inorganic contaminants such as iron(Fe),nickel(Ni),cadmium(Cd),cobalt(Co),arsenic(As),manganese(Mn),lead(Pb),copper(Cu),zinc(Zn),and chromium(Cr) in representative roadside uncontaminated soil(n=72) from the Egi crude oil mining areas(Oboburu,Obagi,and Ogbogu),Niger Delta,Nigeria,using a combination of multiple models(Principle component analysis(PCA),correlation analysis,geo-accumulation index(Igeo),contamination factor(CF),enrichment factor(EF),pollution load index(PLI),cancer risk(CR),hazard quotient(HQ),and metal daily intake(MDIm)).A random sampling method was applied in the sampling and analysis using inductively coupled plasma mass *** result revealed that the mean(mg/kg) for Oboburu,was the highest for Fe(89.95 ± 28.83) and Mn(26.12 ± 7.642),whereas Obagi,had less Fe(28.90 ± 7.601) and Mn(16.80 ± 5.021),and Ogbogu,Fe(44.67 ± 28.15) and Pb(19.38± 8.731) was the second highest heavy *** order of contamination was F> Mn> Zn> Pb> Cu> Cr> Ni> Cd> *** Igeo and CF had cadmium as a metal of *** contamination level was low from the PLI *** EF revealed anthropogenic sources for all the metals except for Ni,which was *** correlations at p <0.05 and p <0.01 showed much positive significance amongst the *** of the cumulative percentages,loading percentages,and eigenvalues from the regression plot gave a coefficients of determination(r2) of 0.9936,0.9995,and 0.9994,*** PCA indicated that Cd and Ni were of anthropogenic origin;Mn,Fe,and Co were biogenic or natural,and Zn and Pb were of mixed *** CR assessment indicated a possible cancer risk due to Cr,Cd,and Ni,and the rest of elements have no carcinogenic *** findings suggest there should be regular monitoring,source control,and integrated environmental management of the study area.

关键词： Soil Source identification Health risk Carcinogenicity Variability

Mapping soil nutrients via different covariates combinations:theory and an example from Morocco

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Ecological Processes 2022年第1期11卷 302-318页

作者： kingsley john Yassine Bouslihim Isong Abraham Isong Lahcen Hssaini Rachid Razouk Ndiye M.Kebonye Prince C.Agyeman Vit Penížek Tereza Zádorová Department of Soil Science and Soil Protection Faculty of AgrobiologyFoodand Natural ResourcesCzech University of Life SciencesKamýcká12916500 PragueCzech Republic National Institute of Agricultural Research RabatMorocco Department of Soil Science University of CalabarCalabarNigeria

Background:Mapping of soil nutrients using different covariates was carried out in northern *** study was undertaken in response to the region’s urgent requirement for an updated soil *** aimed to test various covariates combinations for predicting the variability in soil properties using ordinary kriging and kriging with external ***:A total of 1819 soil samples were collected at a depth of 0–40 cm using the 1-km grid sampling *** were screened for their pH,soil organic matter(SOM),potassium(K_(2)O),and phosphorus(P_(2)O_(5))using standard laboratory *** attributes(T)computed using a 30-m resolution digital elevation model,bioclimatic data(C),and vegetation indices(V)were used as covariates in the *** targeted soil property was modeled using covariates separately and then combined(e.g.,pH~T,pH~C,pH~V,and pH~T+C+V).k=tenfold cross-validation was applied to examine the performance of each employed *** statistical parameter RMSE was used to determine the accuracy of different ***:The pH of the area is slightly above the neutral level with a corresponding 7.82%of SOM,290.34 ppm of K_(2)O,and 100.86 ppm of P_(2)O_(5).This was used for all the selected targeted soil *** a result,the studied soil properties showed a linear relationship with the selected ***,SOM,and K 2O presented a moderate spatial autocorrelation,while P2O5 revealed a strong *** cross-validation result revealed that soil pH(RMSE=0.281)and SOM(RMSE=9.505%)were best predicted by climatic variables.P_(2)O_(5)(RMSE=106.511 ppm)produced the best maps with climate,while K_(2)O(RMSE=209.764 ppm)yielded the best map with terrain ***:The findings suggest that a combination of too many environmental covariates might not provide the actual variability of a targeted soil *** demonstrates that specific covariates with close relationships with certain soil properties might perform bet

关键词： Soil mapping Environmental variables Agriculture Soil properties Soil management

Do model choice and sample ratios separately or simultaneously influence soil organic matter prediction?

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International Soil and Water Conservation Research 2022年第3期10卷 470-486页

作者： kingsley john Yassine Bouslihim Kokei Ikpi Ofem Lahcen Hssaini Rachid Razouk Paul Bassey Okon Isong Abraham Isong Prince Chapman Agyeman Ndiye Michael Kebonye Chengzhi Qin Department of Soil Science and Soil Protection Faculty of AgrobiologyFoodand Natural ResourcesCzech University of Life SciencesKamýcka 12916500PragueCzech Republic National Institute of Agricultural Research Morocco Department of Soil Science Faculty of AgricultureForestry and Wildlife Resources ManagementUniversity of CalabarPMB 1115540004Etta Agbo RoadCalabarNigeria State Key Laboratory of Resources and Environmental Information System Institute of Geographical Sciences and Natural Resources ResearchCASBeijing100101China

This study was performed to examine the separate and simultaneous influence of predictive models’choice alongside sample ratios selection in soil organic matter(SOM).The research was carried out in northern Morocco,characterized by relatively cold weather and diverse geological *** dataset herein used accounted for 1591 soil samples,which were randomly split into the following ratios:10%(∼150 sample ratio),20%(∼250 sample ratio),35%(∼450 sample ratio),50%(∼600 sample ratio)and 95%(∼1200 sample ratio).Models herein involved were ordinary kriging(OK),regression kriging(RK),multiple linear regression(MLR),random forest(RF),quantile regression forest(QRF),Gaussian process regression(GPR)and an ensemble *** findings in the study showed that the accuracy of SOM prediction is sensitive to both predictive models and sample *** combined with 95%sample ratio performed equally to RF in conjunction with all the sample ratios,as the latter did not show much sensitivity to sample *** results revealed that RF with a∼10%sample ratio could also be optimum for predicting SOM in the study *** conclusion,the findings herein reported could be instrumental for producing cost-effective detailed and accurate spatial estimation of SOM in other ***,they could serve as a baseline study for future research in the region or ***,we recommend conducting series of simulation of all possible combinations between various predictive models and sample ratios as a preliminary step in soil organic matter prediction.

关键词： Analysis of variance Agriculture Digital soil mapping Predictive mapping Mediterranean

Prediction of Gestational Diabetes Mellitus in Early Pregnancy: Is Abdominal Skin Fold Thickness 20 mm or More an Independent Risk Predictor?

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Journal of Biosciences and Medicines 2017年第11期5卷 13-26页

作者： Vaduneme kingsley Oriji john Dimkpa Ojule Bassey Offiong Fumudoh Department of Obstetrics and Gynaecology University of Port Harcourt Teaching Hospital Port Harcourt Nigeria Department of Obstetrics and Gynaecology Federal Medical Centre Yenagoa Nigeria

Background: Gestational Diabetes Mellitus (GDM) is associated with several maternal and perinatal complications. Early detection and treatment can improve pregnancy outcomes. Objectives: To determine the prevalence, risk factors and predictors of GDM in early pregnancy at the University of Port Harcourt Teaching Hospital, (UPTH), Port Harcourt Nigeria. Methods: A cohort of 235 mothers who registered for antenatal care between 15 - 18 weeks of gestation at UPTH was prospectively studied. Their socio-demographic data, examination findings, anthropometric measurements, fasting blood sugar at booking and OGTT results at 28 weeks gestation were collated and entered into PC with SPSS for windows version 21.0 which was also used for the analysis. Variables were expressed as absolute numbers, percentages or means with standard deviations and significant differences determined using chi square test or the student “t” test as appropriate. The level of significance was set at P < 0.05. Results: Of the 235 participants, 35 (14.9%) developed GDM. Women who had GDM were significantly older (P = 0.001), had higher weight (t = 2.95, P = 0.01), BMI (t = 2.29, P = 0.02), abdominal skin fold thickness (t = 4.15, P = 0.001), blood pressure (t = 3.38, P = 0.001) compared to women who did not. Previous history of GDM was significantly different between two groups as χ2 = 93.56 and P = 0.001. Abdominal skin fold thickness and prior GDM history were found to be independent predictors of GDM on application of multiple logistic regression analysis. Conclusion: The prevalence of GDM in Port Harcourt is 14.9% and major risk factors are obesity, previous GDM history, advanced age and hypertension. Abdominal skin fold thickness ≥ 20 mm is an independent predictor. The risk of developing GDM can be predicted in early second trimester using algorithm incorporating risk factor screening and anterior abdominal wall skin fold thickness estimation.

关键词： Gestational Diabetes Mellitus Risk Factors Detection Early Pregnancy Port Harcourt

Modulations in Anti-Oxidant Activities of Selected Gastro-Intestinal Tissues in Alloxan-Induced, Silymarin Treated Diabetic Wistar Rats

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Open Journal of Gastroenterology 2019年第5期9卷 73-90页

作者： johnson Uyovwiesevwa Ataihire Eze kingsley Nwangwa john Chukwuka Igweh Department of Human Physiology Faculty of Basic Medical Sciences College of Health Sciences Delta State University Abraka Nigeria

Diabetes mellitus (DM) is reportedly the commonest metabolic disorder with multi organ involvement. By inducing DM (with Alloxan) in Wistar rats, current study investigated the changes in antioxidant activities of selected gastrointestinal (GI) tissues [stomach, duodenum, pancreas and liver], upon treatment with Silymarin and/or Vitamin C. One hundred and twenty five (125) adult male wistar rats of between 130 to 180 grams were procured for the study. Five units of one control and four experimental units were designated with twenty five (25) rats per group (n = 25);Unit 1: Control rats, Unit 2 were DM induced, Silymarin untreated rats, and Units 3, 4 and 5 were DM induced, vitamin C, Silymarin and Vitamin C + Silymarin treated respectively. Following four (4) weeks of administration of test substance(s), rats were euthanized and blood samples obtained for biochemical and antioxidant assay on aforementioned GI tissues. One way analysis of variance (ANOVA) and Students t-test at p p < 0.05) at comparison of extract treated unit to control. Study also observed a significant change in pancreatic, liver, and duodenal anti-oxidant marker levels with Vitamin C, Silymarin and Vitamin C + Silymarin co-administrations to diabetic rats. It can therefore be said, that DM caused a destructive alteration pancreatic histo-architecture with improved functional capabilities in wistar rats at administration of Silymarin and vitamin C. Thus, Silymarin posed antioxidant potentials, with ameliorated pancreatic dysfunctions.

关键词： Silymarin Antioxidant Diabetes Mellitus

Synthesis and Bioactivity of 1-((2-Carbamoylguanidino) (furan-2-ylmethyl)urea

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American Journal of Analytical Chemistry 2020年第7期11卷 280-288页

作者： Chioma Donlawson Daniel Okechukwu Nweneka kingsley john Orie Reminus Okah Department of Science Laboratory Technology Captain Elechi Amadi Polytechnic Rumuola Nigeria Department of Pure and Industrial Chemistry University of Port Harcourt Port Harcourt Nigeria

1-((2-Carbamoylguanidino)(furan-2-ylmethyl)urea was synthesised by coupling purified furfural with urea. The compound was characterized by GC-MS, FTIR, and 1H-NMR. The pathogens, Escherichia coli, Salmonella typhi, Staphylococcus aureus and Bacillus subtilis were isolated and screened with different concentrations of 1-((2-carbamoylguanidino)(furan-2-ylmethyl)urea. All the pathogens were susceptible to the synthesized compound except Bacillus subtilis. Due to this broad spectrum of activity, 1-((2-Carbamoylguanidino)(furan-2-ylmethyl))urea) can be use for various medicinal purposes and is therefore encouraged for the development of a novel drug in future.

关键词： Furfural 1-((2-Carbamoylguanidino)(furan-2-ylmethyl)urea Bioactivity

Telehealth for Substance Use Disorders Treatment in Nigeria: Implementation Strategies Post-COVID-19

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Open Journal of Psychiatry 2022年第4期12卷 321-335页

作者： Bawo Onesirosan James kingsley Mayowa Okonoda Nkereuwem William Ebiti Albert Arias john Randy Koch Federal Neuro-Psychiatric Hospital Benin City Nigeria Manifold Rehabilitation Foundation Benin City Nigeria Department of Psychiatry University of Jos Jos Nigeria Department of Clinical Services Federal Neuro-Psychiatric Hospital Barnawa Nigeria Department of Psychiatry Virginia Commonwealth University Richmond USA Department of Psychology Virginia Commonwealth University Richmond USA

The COVID-19 pandemic has changed the way healthcare services are delivered. These changes will likely persist as countries recover from the economic crises following lockdowns. In developing countries, services for substance use disorders (SUDs) are inadequate and as countries prioritize infectious diseases, individuals with SUDs may suffer further neglect. This paper is a narrative review of peer-reviewed and grey literature on the current challenges with SUD treatment in Nigeria assesses how telehealth may positively affect access to evidence-based treatments and suggests strategies for implementation considering the unique challenges and opportunities in the country. If prioritized in her policy, telehealth has the potential to improve treatment outcomes for SUDs in Nigeria.

关键词： Telehealth Substance Use Disorders Treatment Nigeria

The Prevalence, Pattern, and Factors Affecting Cigarette Smoking among Undergraduate Students in a Tertiary Institution in Plateau State, Nigeria

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Open Journal of Preventive Medicine 2023年第5期13卷 169-182页

作者： kingsley C. Okafor Lucy O. Idoko Love Temple-Obi john S. Bimba Department of Community Medicine & PHC Bingham University Karu Nasarawa State Nigeria

Background: Cigarette smoking is a modern health hazard, and it is preventable. It starts in adolescence for 90% of adults with an average age of onset ranging between 13 - 15 years and is commoner among males. This study is aimed at the prevalence, pattern, and factors affecting Cigarette smoking among undergraduate students in a tertiary institution in Plateau State. Method: A cross-sectional descriptive study involving 290 undergraduate students of the University of Jos was selected using the multistage sampling method. Results: The prevalence of cigarette use was 5.3%. Seven (70.0%) of students smoke daily, 6 (60.0%), smoke cigarettes before Lecture Hours, and 90.0% are unwilling to stop smoking. Smoking was done to experience the highness feeling, 8 (80.0%), peer smoking 8 (80.0%), to reduce stress and tension 5 (50.0%), and Smoking for Fun 7 (70.0%). Most students first smoked a cigarette when with friends 6 (60.0%). Factors significantly associated with the current use of cigarettes among the respondents were religion (χ2 = 4.167, p = 0.041) Level/year of study (χ2 = 32.266, p ≤ 0.001), and type of family (χ2 = 6.271, p = 0.043). Conclusion: Most students smoke daily, smoke before lectures start, and are unwilling to stop smoking. Health-promotion program to help smoking cessation and prevent initiation of smoking is recommended.

关键词： Cigarette Smoking Students Undergraduates Plateau