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Incorporation of a nanotechnology-based additive in cementitious products for clay stabilisation

Journal of Rock Mechanics and Geotechnical engineering 2020年第5期12卷 1056-1069页

作者： e.u.eyo S.Ng’ambi S.J.Abbey School of energy Construction and EnvironmentFaculty of EngineeringEnvironment and ComputingCoventry UniversityCoventryUK Faculty of environment and Technology Department of Geography and Environmental ManagementCivil Engineering ClusterUniversity of the West of EnglandBristolUK

The mechanical performances and water retention characteristics of clays,stabilised by partial substitution of cement with by-products and inclusion of a nanotechnology-based additive called RoadCem(RC),are studied in this *** unconfined compression tests and one-dimensional oedometer swelling were performed after 7 d of curing to understand the influence of addition of 1%of RC material in the stabilised soils with the cement partially replaced by 49%,59%and 69%of ground granulated blast furnace slag(GBBS)or pulverised fuel ash(PFA).The moisture retention capacity of the stabilised clays was also explored using the soil-water retention curve(SWRC)from the measured *** confirmed an obvious effect of the use of RC with the obtained strength and swell properties of the stabilised clays suitable for road application at 50%replacement of *** outcome is associated with the in-depth and penetrating hydration of the cementitious materials by the RC and water which results in the production of needle-like matrix with interlocking filaments e a phenomenon referred to as the‘wrapping’*** the other hand,the SWRC used to describe the water holding capacity and corresponding swell mechanism of clays stabilised by a proportion of RC showed a satisfactory *** moisture retention of the RC-modified clays was initially higher but reduced subsequently as the saturation level increased with decreasing *** phenomenon confirmed that clays stabilised by including the RC are water-proof in nature,thus ensuring reduced porosity and suction even at reduced water ***,the stabilised clays with the combination of cement,GGBS and RC showed a better performance compared to those with the PFA included.

关键词： Cement Ground granulated blast furnace slag(GBBS) Fly ash RoadCem(RC) Swell Stabilisation unconfined compressive strength Soil-water retention curve(SWRC)

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Improved prediction of clay soil expansion using machine learning algorithms and meta-heuristic dichotomous ensemble classifiers

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Geoscience Frontiers 2022年第1期13卷 268-284页

作者： e.u.eyo S.J.Abbey T.T.Lawrence F.K.Tetteh Department of Geography and environmental Management University of the West of EnglandBristolUnited Kingdom Research Centre for Fluid and Complex Systems Coventry UniversityCoventryUnited Kingdom Department of Civil engineering University of BirminghamBirminghamUnited Kingdom

Soil swelling-related disaster is considered as one of the most devastating geo-hazards in modern ***,proper determination of a soil’s ability to expand is very vital for achieving a secure and safe ground for ***,this study has provided a novel and intelligent approach that enables an improved estimation of swelling by using kernelised machines(Bayesian linear regression(BLR)&bayes point machine(BPM)support vector machine(SVM)and deep-support vector machine(D-SVM));(multiple linear regressor(ReG),logistic regressor(LR)and artificial neural network(ANN)),tree-based algorithms such as decision forest(RDF)&boosted trees(BDT).Also,and for the first time,meta-heuristic classifiers incorporating the techniques of voting(Ve)and stacking(Se)were *** independent scenarios of explanatory features’combination that influence soil behaviour in swelling were *** results indicated BLR as possessing the highest amount of deviation from the predictor variable(the actual swell-strain).ReG and BLR performed slightly better than ANN while the meta-heuristic learners(Ve and Se)produced the best overall performance(greatest R2 value of 0.94 and RMSe of 0.06%exhibited by Ve).CeC,plasticity index and moisture content were the features considered to have the highest level of *** binary classifiers(SVM,D-SVM and BPM)gave better accuracy(average accuracy and recall rate of 0.93 and 0.60)compared to ANN,LR and ***-driven diagnostic test indicated that the meta-heuristic models’best performance occurred when ML training was conducted using k-fold validation ***,it is recommended that the concepts developed herein be deployed during the preliminary phases of a geotechnical or geological site characterisation by using the best performing meta-heuristic models via their background coding resource.

关键词： Artificial neural networks Machine learning Clays Algorithm Soil swelling Soil plasticity

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Multiclass stand-alone and ensemble machine learning algorithms utilised to classify soils based on their physico-chemical characteristics

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Journal of Rock Mechanics and Geotechnical engineering 2022年第2期14卷 603-615页

作者： eyo eyo Samuel Abbey Faculty of environment and Technology Department of Geography and Environmental ManagementCivil Engineering ClusterUniversity of the West of EnglandBristolBS161QYUK Fugro GB Marine Geotechnical Services Limited WallingfordOX109RBUK

This study has provided an approach to classify soil using machine *** elements of stand-alone machine learning algorithms(*** regression(LR)and artificial neural network(ANN)),decision tree ensembles(*** forest(DF)and decision jungle(DJ)),and meta-ensemble models(*** ensemble(Se)and voting ensemble(Ve))were used to classify soils based on their intrinsic physico-chemical ***,the multiclass prediction was carried out across multiple cross-validation(CV)methods,*** validation split(TVS),k-fold cross-validation(KFCV),and Monte Carlo cross-validation(MCCV).Results indicated that the soils’clay fraction(CF)had the most influence on the multiclass prediction of natural soils’plasticity while specific surface and carbonate content(CC)possessed the least within the nature of the dataset used in this ***-alone machine learning models(LR and ANN)produced relatively less accurate predictive performance(accuracy of 0.45,average precision of 0.5,and average recall of 0.44)compared to tree-based models(accuracy of 0.68,average precision of 0.71,and recall rate of 0.68),while the meta-ensembles(Se and Ve)outperformed(accuracy of 0.75,average precision of 0.74,and average recall rate of 0.72)all the models utilised for multiclass *** analysis of the meta-ensembles proved their capacities to discriminate between soil classes across the methods of CV *** learning training and validation using MCCV and KFCV methods enabled better prediction while also ensuring that the dataset was not overfitted by the machine learning *** confirmation of this phenomenon was depicted by the continuous rise of the cumulative lift curve(LC)of the best performing models when using the MCCV ***,this study demonstrated that soil’s physico-chemical properties do have a direct influence on plastic behaviour and,therefore,can be relied upon to classify soils.

关键词： Soil classification Physico-chemistry Soil plasticity Machine learning Logistic regression(LR) Machine learning ensembles Artificial neural network(ANN)

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TReMble Before TReM2:The Mighty Microglial Receptor Conferring Neuroprotective Properties in TDP-43 Mediated Neurodegeneration

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Neuroscience Bulletin 2023年第1期39卷 163-166页

作者： William A.Mills III ukpong B.eyo Brain Immunology and Glia Center University of VirginiaCharlottesvilleVA22903USA Department of Neuroscience University of VirginiaCharlottesvilleVA22903USA Robert M.Berne Cardiovascular Research Center University of VirginiaCharlottesvilleVA22903USA

Microglia were long hailed as solely infammatory cells,and though they are responsible for the brain's immuneresponse,they perform a variety of neuroprotective func-tions including the clearance of cellular and toxic debris^([1]).One toxic molecule known to be cleared by microglia isthe protein aggregate found in Alzheimer's Disease(AD),amyloid-B.

关键词： protective degeneration Alzheimer

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Left-Sided Facial Defects in a Child with Goldenhar Syndrome at a Tertiary Facility in Nigeria

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Open Journal of Pediatrics 2022年第4期12卷 665-670页

作者： emmanuel u. eyo-Ita Wilson O. Osarogiagbon Ifueko A. eyo-Ita Aisha O. Suleiman Department of Child Health University of Benin Teaching Hospital Benin City Nigeria

We describe a female Nigerian infant of otherwise healthy parents with no prior history of congenital anomalies who was born with left-sided cleft lip and palate, left anophthalmia, malformed left auricle, an atrial septal defect, and abnormal fusion of the medial ends of her ribs prior to their insertion into the sternum. She presented on account of respiratory difficulty following bouts of feed aspiration. Cautious feeding and the need for respiratory support are important aspects of care in patients with Goldenhar syndrome.

关键词： Cleft Lip/Palate Goldenhar Syndrome Anophthalmia Treacher Collins Microphthalmia Microtia

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Determinants of loan repayment among agricultural microcredit finance group members in Delta state, Nigeria

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Financial Innovation 2017年第1期3卷 303-314页

作者： Solomon enimu emmanuel O.eyo eucharia A.Ajah Department of Agricultural economics University of CalabarCross River StateCalabarNigeria

Background:This study examined the determinants of loan repayment among microcredit finance group members in Delta State,***:To capture the determinants of loan repayment in the study area,a total of 48 microcredit groups and 300 microcredit group members were randomly selected through a multi-stage random sampling *** study data was collected by *** tools such as simple descriptive statistics(table,frequency,percentage and mean)and a multiple regression analysis were used to examine the ***:The results indicate that females form a greater proportion of the study area microcredit group members at 70%,moreover 73%of the respondents have a household size of between 6 to 10 *** findings revealed that the groups had a mean 8 years of existence with a mean membership size of 13 ***,an average interest rate of 40 percent per annum was charged on loans,with mean loan duration of 6 *** regression’s result demonstrated that the determinants of the group member’s loan repayment included the group member’s age,household size,house income,and educational level,the amount of credit received,length of stay in their locality,distance to the credit source,supervision and disbursement ***:Therefore it was suggested that the various agricultural microcredit finance groups should carefully examine the significant determinants of loan repayment for the approach’s viability and sustainability and for optimum repayment performance.

关键词： Determinants Loan repayment Microcredit Groups Members Delta state

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Relationship between magnetic parameters and heavy element contents of arable soil around a steel company,Nanjing

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Science China earth Sciences 2010年第3期53卷 411-418页

作者： BLAHA u ROeSLeR W APPeL e Institute for Geosciences University of Tübingen

Magnetic parameters and element contents were determined in core NJ008 collected from the uppermost ca. 40 cm in a steel company in southwest Nanjing. The results showed that magnetic susceptibility (χ), saturation isothermal remanent magnetization (SIRM) and anhysteretic remanent magnetization (ARM) were enhanced in the uppermost 20 cm, with a mean magnetic susceptibility value of 112.5×10-8 m3 kg-1. Below 20 cm, χ decreased sharply with a mean value of 27.8×10-8m3 kg-1. Low-coercivity minerals such as magnetite dominate in arable soils, while the relative content of antiferromagnetic minerals increases below 20 cm. Heavy metals (Ni, Cu, Fe, Pb, V, and Zn) have similar vertical trends as χ. Principal component analysis reveals common high loadings of the same factor for magnetic concentration parameters (χ, ARM, and SIRM) and elements (Ni, Cu, Fe, Pb, V, and Zn) with an excellent linear correlation (0.69≤R≤0.98) between them. Magnetic susceptibility of paddy soil core NJ013, which had the same parent material as NJ008 but was far from pollution sources, showed stable values of magnetic concentration parameters along the whole core. Absolute values correspond to the so-called magnetic background value (below 20 cm) of NJ008. This indicates that pesticide and fertilizer had little effect on magnetic signals of the upper part of core NJ008 and the extremely enhanced magnetic concentration parameters originate from the steel company emission. Although, the arable soil does not reveal the pollution history and transportation due to annual ploughing, the significant linear relationship between magnetic concentration parameters and heavy metal contents suggests that magnetic parameters can serve as a proxy for quickly detecting soil metallic pollution and estimating the extent of contamination.

关键词： steel company soil heavy metal magnetic parameters

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Instantaneous frequency and wave mode identification in a magnetosheath using few spatial points

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Chinese Physics B 2013年第8期22卷 496-501页

作者： Nathaniel e u Beloff N George N J Department of Physics Akwa Ibom State UniversityNigeria university of Sussex Brighton UK

Observational data such as those obtained from the magnetosheath in the downstream of earth＇s bow shock have waveforms that differ from those of sinusoidal signals. In practice, they are not even aggregates of sinusoidal signals. Therefore, the frequency decomposition for the data requires technique that will account for the time-varying features of the data that will lead to deduction of physical meaning of the observations. The combination of empirical mode decompo- sition （eMD） and Hilbert transform has been used for extracting the various contributing oscillatory modes （eMDs） and the instantaneous frequency determination （Hilbert transform） of every physically meaningful mode called intrinsic mode func- tion （IMF）. The resulting instantaneous frequencies are used to determine instantaneous wave vectors. The combination of the instantaneous frequencies and wave vectors is useful in the identification of wave modes based on the characteristics of the waves. The results show that eMD-Hilbert can be more reliable than simple Hilbert transform alone.

关键词： eMD-Hilbert transform instantaneous frequency and wave vector

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Control of a unified Chaotic System via Single Variable Feedback

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Chinese Physics Letters 2009年第9期26卷 65-68页

作者：郭荣伟 u. e. Vincent Department of Mathematical and Physical Sciences Shandong Institute of Light Industry Jinan 250353 Institute of Theoretical Physics Technical University of Clausthal Arnold-Sommer Str. 6 38678 Clausthal-Zellerfeld Germany Department of Physics Olabisi Onabanjo University Ago-Iwoye Nigeria

Based on the LaSalle invariance principle, we propose a simple adaptive-feedback for controlling the unified chaotic system. We show explicitly with numerical proofs that our method can easily achieve the control of chaos in the unified chaotic system using only a single variable feedback. The present controller, to our knowledge, is the simplest control scheme for controlling a unified chaotic system.

关键词： sea surface nonliear interaction numerical method

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APPROXIMATION OF COMMON FIXeD POINT OF FAMILIeS OF NONLINeAR MAPPINGS WITH APPLICATIONS

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Acta Mathematica Scientia 2015年第5期35卷 1225-1240页

作者： eric u.OFOeDu Charles e.ONYI Department of Mathematics Nnamdi Azikiwe University

It is our purpose in this paper to show that some results obtained in uniformly convex real Banach space with uniformly Gateaux differentiable norm are extendable to more general reflexive and strictly convex real Banach space with uniformly G＆teaux differentiable norm. Demicompactness condition imposed in such results is dispensed with. Furthermore, Applications of our theorems to approximation of common fixed point of countable infinite family of continuous pseudocontractive mappings and approximation of common solution of countable infinite family of generalized mixed equilibrium problems are also discussed. Our theorems improve, generalize, unify and extend several recently announced results.

关键词： nonexpansive mappings, reflexive real Banach spaces fixed point uniformly Aateaux differentiable norm

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