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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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The COVID-19 Pandemic: Present or Gone, Where Do Adolescents Stand?

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Advances in Infectious Diseases 2024年第2期14卷 374-386页

作者： Ifueko enadeghe Ayebo Sadoh emmanuel u. eyo-Ita Phillip O. Abiodun Department of Child Health University of Benin Teaching Hospital Benin City Nigeria Institute of Child Health University of Benin Benin City Nigeria

Introduction: The initial global response to the SARS-CoV-2 pandemic focused on adults as adolescents mainly had subclinical infections. Adolescents, however, could transmit the virus and hence be a risk to the elderly, young children and immunocompromised. Adolescents are also at risk of long-term complications. This study sought to determine the prevalence of antibodies to SARS-CoV-2 among adolescents in Southern Nigeria, and to determine the association between SARS-CoV-2 seropositivity and age, gender, socioeconomic class, school type and nutritional status. Methods: This descriptive cross-sectional study was carried out in edo state of southern Nigeria. We recruited 270 in-school adolescents aged 10 - 19 years. A WHO-adapted, pre-tested questionnaire was used to obtain data on participant history and risk factors. The questionnaire was interviewer-administered. Adolescents whose parents gave consent were recruited through a multi-stage randomized sampling method. Capillary blood for the assay was collected and analysed using a lateral-flow immunoassay device. The primary outcome was serostatus of the study. The positive predictors of serostatus were finally determined using a multiple logistics regression model. Statistical significance was set at p Results: The seroprevalence of SARS-CoV-2 was 45.9%. IgM antibodies were found in 5.6% of participants. Older adolescents had higher seropositivity rates than younger adolescents (2 = 8.101, p = 0.017). There was no association between gender and seropositivity. Adolescents in public schools were more likely to be seropositive than those in private schools (2 = 25.242, p = 0.001). A higher seroprevalence was noticed among study participants in the lower socioeconomic class (x2 = 6.928, p = 0.031), and those in overcrowded classes. (2 = 79.303, p = 0.001). Conclusion: This study showed a high seroprevalence of SARS-CoV-2 among in-school adolescents. Behavioural change communication on SARS-CoV-2, vaccination of adole

关键词： Pandemic Adolescents Seroprevalence COVID-19

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Coping Strategies and Depression among Male Inmates of a Nigerian Correctional Facility:A Cross-sectional Study

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Journal of Forensic Science and Medicine 2024年第2期10卷 92-98页

作者： Alexander Adam Audu Chidi John Okafor Owoidoho udofia emmanuel Aniekan essien Bassey eyo edet emmanuel Omamurhomu Olose Department of Clinical Services Federal Neuropsychiatric HospitalCalabarNigeria Department of Psychiatry University of Calabar Teaching HospitalCalabarNigeria

Background:Researchers have consistently found higher rates of mental illnesses,especially depression,in prison populations compared to the general *** though specific coping strategies have been implicated as a factor influencing the mental well-being of inmates,little is known about this interplay in resource-poor *** study aimed to investigate the relationship between coping strategies and depression among inmates of a prison in *** and Methods:This was a two-stage cross-sectional study involving 269 inmates of Calabar Prison,*** were administered a sociodemographic questionnaire,the Coping Strategies Inventory-Short Form,and the General Health Questionnaire-12(GHQ-12).Respondents who scored≥3 on the GHQ-12 together with 10%of low scorers proceeded to the second stage for an interview using the Mini-International Neuropsychiatric ***:The prevalence of depression among study participants was 30.5%.emotion-focused disengagement coping strategies(odds ratio[OR]:1.12,95%confidence interval[CI]:1.05-1.20)and a history of mental illness before imprisonment(OR:3.4,95%CI:1.34-8.57)significantly predicted depression,whereas problem-focused engagement was protective(OR:1.92,95%CI:0.86-0.98).Conclusion:Compared to the general population,depression is more common among prison inmates and is associated with using specific coping *** strategies deserve increasing consideration when planning mental health intervention programs for this population.

关键词： Coping strategies depression inmates mental illness prison

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Air traffic monitoring using optimized ADS-B CubeSat constellation

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Astrodynamics 2024年第1期8卷 189-208页

作者： Ghulam Jaffer Rameez AMalik elias Aboutanios Nazish Rubab Ronnie Nader Hans u.eichelberger Guy A.e.Vandenbosch Interdisciplinary Centre for Security Reliability and Trust(SnT)University of LuxembourgLuxembourg1855Luxembourg

The primary technique used for air traffic surveillance is ***,nowadays,its role in surveillance is gradually being replaced by the recently adopted Automatic Dependent Surveillance-Broadcast(ADS-B).ADS-B offers a higher accuracy,lower power consumption,and longer range than radar,thus providing more safety to *** coverage of terrestrial radar and ADS-B is confined to continental parts of the globe,leaving oceans and poles uncovered by real-time surveillance *** study presents an optimized Low-earth Orbit(LeO)-based ADS-B constellation for global air traffic surveillance over intercontinental trans-oceanic flight *** optimization algorithm is based on performance evaluation parameters,i.e.,coverage time,satellite availability,and orbit stability(precession and perigee rotation),and communication *** results indicate that the constellation provides ample coverage in the simulated global oceanic *** constellation is a feasible and cost-effective solution for global air supervision,which can supplement terrestrial ADS-B and radar systems.

关键词： constellation automatic dependent surveillance-broadcast (ADS-B) air traffic surveillance precession perigee rotation.

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Bubble coalescence in interacting system of DNA molecules

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International Journal of Biomathematics 2024年第4期17卷 195-216页

作者： u.A.Rozikov V.I.Romanouskiy Institute of Mathematics 9 Universitet Street100174 Tashkent uzbekistan AKFA university National Park StreetBarkamol MFY Mirzo-Ulugbek District111221 Tashkent uzbekistan National university of uzbekistan 4Universitet Street 100174 TashkentUzbekistan

We consider two models of interacting DNA molecules:First is(four parametric)bubble coalescence model in interacting DNAs(shortly:BCI-DNA).Second is(three parametric)bubble coalescence model in a condensed DNA molecules(shortly BCC-DNA).To study bubble coalescence thermodynamics of BCI-DNA and BCC-DNA models we use methods of statistical ***,we define Hamiltonian of each model and give their translation-invariant Gibbs measures(TIGMs).For the first model,we find parameters such that corresponding Hamiltonian has up to three TIGMs(three phases of system)biologically meaning existence of three states:“No bubble coalescence”,“Dominated soft zone”,“Bubble coalescence”.For the second model,we show that for any(admissible)parameters,this model has unique *** is a state where“No bubble coalescence”phasedominates.

关键词： DNA bubble configuration Cayley tree Gibbs measure Potts model

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Variational data encoding and correlations in quantum-enhanced machine learning

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Chinese Physics B 2024年第9期33卷 298-306页

作者： Ming-Hao Wang Hua L¨u School of Physics Hubei UniversityWuhan 430062China School of Science Hubei University of TechnologyWuhan 430068China

Leveraging the extraordinary phenomena of quantum superposition and quantum correlation,quantum computing offers unprecedented potential for addressing challenges beyond the reach of classical *** paper tackles two pivotal challenges in the realm of quantum computing:firstly,the development of an effective encoding protocol for translating classical data into quantum states,a critical step for any quantum *** encoding strategies can significantly influence quantum computer ***,we address the need to counteract the inevitable noise that can hinder quantum *** primary contribution is the introduction of a novel variational data encoding method,grounded in quantum regression algorithm *** adapting the learning concept from machine learning,we render data encoding a learnable *** allowed us to study the role of quantum correlation in data *** numerical simulations of various regression tasks,we demonstrate the efficacy of our variational data encoding,particularly post-learning from instructional ***,we delve into the role of quantum correlation in enhancing task performance,especially in noisy *** findings underscore the critical role of quantum correlation in not only bolstering performance but also in mitigating noise interference,thus advancing the frontier of quantum computing.

关键词： quantum machine learning variational data encoding quantum correlation

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Fuzzy and IRLNC-based routing approach to improve data storage and system reliability in IoT

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Intelligent and Converged Networks 2024年第1期5卷 68-80页

作者： u.Indumathi A.R.Arunachalam the Department of Computer Science and engineering Dr.M.G.R.Educational and Research InstituteChennai 600095India

Internet of Things(IoT)based sensor network is largely utilized in various field for transmitting huge amount of data due to their ease and cheaper *** performing this entire process,there is a high possibility for data corruption in the mid of *** the other hand,the network performance is also affected due to various *** address these issues,an efficient algorithm that jointly offers improved data storage and reliable routing is ***,after the deployment of sensor nodes,the election of the storage node is achieved based on a fuzzy expert *** Random Linear Network Coding(IRLNC)is used to create an encoded *** encoded packet from the source and neighboring nodes is transmitted to the storage ***,to transmit the encoded packet from the storage node to the destination shortest path is found using the Destination Sequenced Distance Vector(DSDV)*** analysis of the proposed work is carried out by evaluating some of the statistical *** residual energy,packet delivery ratio,compression ratio and storage time achieved for the proposed work are 8.8%,0.92%,0.82%,and 69 *** on this analysis,it is revealed that better data storage system and system reliability is attained using this proposed work.

关键词： Internet of Things(IoT) data storage management fuzzy system improved random linear network coding energy utilization system reliability

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Lump and travelling wave solutions of a(3+1)-dimensional nonlinear evolution equation

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Journal of Ocean engineering and Science 2024年第2期9卷 164-172页

作者： Kalim u.Tariq Raja Nadir Tufail Department of Mathematics Mirpur University of Science and TechnologyMirpurAJK 10250Pakistan

In this paper,the(3+1)-dimensional nonlinear evolution equation is studied *** bilinear form of given model is achieved by using the Hirota bilinear *** a result,the lump waves and col-lisions between lumps and periodic waves,the collision among lump wave and single,double-kink soliton solutions as well as the collision between lump,periodic,and single,double-kink soliton solutions for the given model are ***,some new traveling wave solutions are developed by applying the exp(−φ(ξ))expansion *** 3D,2D and contours plots are drawn to demonstrate the nature of the nonlinear model for setting appropriate set of *** a result,a collection of bright,dark,periodic,rational function and elliptic function solutions are *** applied strategies appear to be more powerful and efficient approaches to construct some new traveling wave structures for various contemporary models of recent era.

关键词： The Hirota bilinear method Lump wave solution Travelling wave solution exp(−φ(ξ))expansion technique

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Leveraging a new thermosensor for heat-smart future agriculture

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Plant Communications 2024年第9期5卷 1-4页

作者： Ali Raza Qamar u.Zaman Zhangli Hu Guangdong Key Laboratory of Plant epigenetics College of Life Sciences and OceanographyShenzhen UniversityShenzhen 518060China College of Physics and Optoelectronic engineering Shenzhen UniversityShenzhen 518060China Shenzhen engineering Laboratory for Marine Algal Biotechnology Guangdong Technology Research Center for Marine Algal BiotechnologyCollege of Life Sciences and OceanographyShenzhen UniversityShenzhen 518060China Shenzhen Collaborative Innovation Public Service Platform for Marine Algae Industry Longhua Innovation Institute for BiotechnologyCollege of Life Sciences and OceanographyShenzhen UniversityShenzhen 518060China School of Breeding and Multiplication(Sanya Institute of Breeding and Multiplication) Hainan Yazhou-Bay Seed LaboratoryHainan UniversitySanya 572025China Collaborative Innovation Center of Nanfan and High-efficiency Tropical Agriculture School of Tropical CropsHainan UniversityHaikou 570228China

As global temperatures rise owing to climate change,crops are increasingly subjected to conditions that surpass their optimal temperature ranges,leading to heat stress(HS).HS impacts many morpho-physiological,biochemical,and molecular mechanisms in plants,ultimately affecting sustainable agricultural production worldwide(Ding et al.,2020;Kan et al.,2023;Raza et al.,2024).

关键词： smart pass crops

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