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Sero-Prevalence and Risk factors of Contagious Bovine Pleuropneumonia (CBPP) in Afgoye District Lower Shabelle Region, Somalia

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Open Journal of Veterinary Medicine 2024年第2期14卷 11-20页

作者： Ahmed Mohamed Ahmed Sumaya Hassan Ali Abdisalam Mohamed Ali Abdirazack Saleban Osman Binti Abubakar Mohamed Abdifatah Mohamud Ibar Shafii abdullahi Mohamed Mohamed Abdelrahman Mohamed Ahmed Ali Omar Zakaria Ibrahim Issack College of Veterinary Medicine Abrar University Mogadishu Somalia Faculty of Veterinary Medicine and Animal Husbandry Somali National University Mogadishu Somalia Faculty of Veterinary Science Benadir University Mogadishu Somalia

Contagious bovine Pleuropneumonia (CBPP) is an infectious and highly contagious respiratory disease of cattle and water buffalo, caused by the Mycoplasma mycoides subspecies mycoides. It induces significant economic losses and leads to a severe livestock production problem, negatively influencing people’s livelihoods of affected countries. In Somalia, there is no updated data on the prevalence and distribution of the disease. Hence, a descriptive cross-sectional study was conducted from September 2022 to June 2023 in different villages under the Afgoye District of lower Shabelle region, Somalia. The main purpose of this study is to assess the sero-prevalence and identify the associated risk factors for the occurrence of the disease. In this study, villages, age, sex, breed, and body condition were considered as risk factors. A total of 90 blood samples were collected and tested in the laboratory using the Anti-CBPP Elisa kit test. Out of 90 serum samples from herd cattle, 32 were positive, resulting in an overall prevalence of 35.5%. In addition, we found a statistically significant variation between the prevalence of the disease and factors such as sex, age, body condition and breeds. In summary, the overall prevalence of Contagious bovine pleuropneumonia in this study area is worth to be considered because there is a low quality of health care and less awareness of the Contagious bovine Pleuropneumonia effects on herds, which warrants the official authorities to act and follow appropriate preventive and control measures to reduce the incidence of the disease and generate appropriate controlling and prevention measures in all regions of Somalia.

关键词： Contagious Bovine Pleuropneumonia Sero-Prevalence Cattle Somalia Mycoplasma Cross Sectional Study

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Awareness as the Most Effective Measure to Mitigate the Spread of COVID-19 in Nigeria

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Computers, Materials & Continua 2020年第12期65卷 1945-1957页

作者： Isa abdullahi Baba Dumitru Baleanu Department of Mathematical Sciences Bayero UniversityKanoNigeria Department of Mathematics Cankaya UniversityAnkaraTurkey Institute of Space Sciences BucharestRomania

A mathematical model consisting of a system of four nonlinear ordinary differential equations is *** aim is to study the dynamics of the spread of COVID-19 in Nigeria and to show the effectiveness of awareness and the need for relevant authorities to engage themselves more in enlightening people on the significance of the available control measures in mitigating the spread of the *** equilibrium solutions;Disease free equilibrium and Endemic equilibrium solutions were calculated and their global stability analysis was carried *** reproduction ratio(R0)was also obtained,in this research𝑅𝑅0=*** obtained for Nigeria is used to conduct numerical simulations in order to support the analytic result and to show the significance of awareness in controlling the disease *** the simulation result,it was shown that to mitigate the spread of COVID-19 in Nigeria there is need for serious awareness programs to enlighten people on the available control measures;social distancing,self-isolation,use of personal protective equipment(such as face mask,hand globes,overall gown,etc.),regular hand washing using soap or sanitizer,avoiding having contact with person showing the symptoms and reporting any suspected case.

关键词： COVID-19 model equilibrium solution basic reproduction ratio stability analysis numerical simulation Nigeria

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New lump, lump-kink, breather waves and other interaction solutions to the (3+1)-dimensional soliton equation

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Communications in Theoretical Physics 2020年第8期72卷 43-49页

作者： Tukur Abdulkadir Sulaiman abdullahi Yusuf Abdon Atangana Department of Computer Engineering Biruni UniversityIstanbulTurkey Department of Mathematics Federal University DutseJigawaNigeria Institute for Groundwater Studies University of the Free StateBloemfonteinSouth Africa

This study investigates the (3+1)-dimensional soliton equation via the Hirota bilinear approach and symbolic computations. We successfully construct some new lump, lump-kink, breather wave, lump periodic, and some other new interaction solutions. All the reported solutions are verified by inserting them into the original equation with the help of the Wolfram Mathematica package. The solution’s visual characteristics are graphically represented in order to shed more light on the results obtained. The findings obtained are useful in understanding the basic nonlinear fluid dynamic scenarios as well as the dynamics of computational physics and engineering sciences in the related nonlinear higher dimensional wave fields.

关键词： (3+1)-dimensional soliton equation Hirota method lump solution breather waves

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Radiological characterization of building materials used in Malaysia and assessment of external and internal doses

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Nuclear Science and Techniques 2019年第3期30卷 82-96页

作者： Shittu abdullahi Aznan Fazli Ismail Supian Samat Nuclear Science Program Faculty of Science and Technology Universiti Kebangsaan Malaysia (UKM) Department of Physics Faculty of Science Gombe State University Centre for Frontier Science Faculty of Science and Technology Universiti Kebangsaan Malaysia (UKM)

In this study, the activity concentrations of ^(226)Ra,^(232)Th,^(222)Rn, and ^(40)K, emanation fractions(P),equilibrium equivalent concentration(EEC), and mass exhalation rates(E_m) of radon released from building materials used in Malaysia were studied using gamma-ray spectrometer with HPGe detector. Radiological parameters[activity concentration index(ACI), indoor air-absorbed dose rate(D_(in)), annual effective dose(AED_(in)) from external and internal(E_(Rn)), soft tissues(H_(ST)) and lung(H_L), and effective dose equivalent(H_(eff))] were estimated to evaluate radiological hazards due to the use of these building materials: sand, cement, gravel, bricks, tiles, fly ash, white cement, and ceramic raw materials. The measured P, EEC,and E_m vary from 10 to 30%, 0.9 to 22 Bq m^(-3), and 33 to 674 mBq h^(-1) kg^(-1), respectively, while the calculated ACI and AED_(in) vary from 0.1 ± 0.01 to 2.1 ± 0.1 and 0.1 ± 0.01 to 2.4 ± 0.6 mSv y^(-1), respectively. On the other hand, the internal annual effective dose ranges from 0.1 to 1.4 mSv y^(-1). The estimated radiological risk parameters were below the recommended maximum values, and radiological hazards associated with building materials under investigation are therefore negligible.

关键词： Indoor radon Emanation fraction Equilibrium equivalent concentration Mass exhalation rate Annual effective dose Effective dose equivalent

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Robust Control Strategy for Inductive Parametric Uncertainties of DC/DC Converters in Islanded DC Microgrid

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Journal of Modern Power Systems and Clean Energy 2023年第1期11卷 335-344页

作者： Salisu abdullahi Tao Jin P.M.Lingom School of Electrical Engineering and Automation Fuzhou UniversityFuzhouChina

Direct current(DC) microgrid consists of many parallel power converters that share load currents through the inductance of DC/DC converters. Usually, the inductance parameters are dependent on the physical implementation of the system, and their values may not match their nameplates. Such disparities could lead to unequal response characteristics of the system, which can potentially reduce the performances of the DC microgrid operation. This paper proposes a robust control strategy for inductive parametric uncertainties of DC/DC converters using an optimal control method with integral action. To achieve such a goal, the system model parameters with nominal values are transformed into parametric unmatched uncertainties to form a robust control problem, which is then transformed into a linear quadratic regulator problem. The inductance uncertainties are stabilized with the uncertainty dynamic algebraic Riccati equation(UDARE) using state feedback gain under linear quadratic regulator. The closed-loop control with integral action is adopted to achieve a steady-state error of zero on the DC-link voltage at any uncertainty of the inductive parameter, which subsequently ensures the equal load current sharing. Off-line simulations and real-time validations based on OpalRT have been conducted to demonstrate the effectiveness and robustness of the proposed robust control strategy.

关键词： DC/DC converter DC microgrid OpalRT optimal control parametric uncertainty robust control

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Elevated temperature creep model of parallel wire strands

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Frontiers of Structural and Civil Engineering 2023年第7期17卷 1060-1071页

作者： Yong DU Yongjin WU abdullahi M.UMAR Shaojun ZHU College of Civil Engineering Nanjing Tech UniversityNanjing 211816China College of Civil Engineering Tongji UniversityShanghai 200092China*Corresponding author.E-mail:zhushaojun@***

T Parallel wire strands(PWSs),which are widely used in prestressed steel structures,are typically in highstress *** fire conditions,significant creep effects occur,reducing the prestress and influencing the mechanical behavior of *** there is no existing approach to analyze their creep behavior,this study experimentally investigated the elevated temperature creep model of PWSs.A charge-coupled camera system was incorporated to accurately obtain the deformation of the specimen during the elevated temperature creep *** was concluded that the temperature level had a more significant effect on the creep strain than the stress level,and 450℃ was the key segment point where the creep rate varied *** comparing the elevated temperature creep test results for PWSs and steel strands,it was found that the creep strain of PWSs was lower than that of steel strands at the same temperature and stress *** parameters in the general empirical formula,the Bailey–Norton model,and the composite timehardening model were fitted based on the experimental *** evaluating the accuracy and form of the models,the composite time-hardening model,which can simultaneously consider temperature,stress,and time,is recommended for use in the fire-resistance design of pre-tensioned structures with PWSs.

关键词： parallel wire strands experimental study elevated temperature creep model

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FAIR Machine Learning Model Pipeline Implementation of COVID-19 Data

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Data Intelligence 2022年第4期4卷 971-990,1036页

作者： Sakinat Folorunso Ezekiel Ogundepo Mariam Basajja Joseph Awotunde abdullahi Kawu Francisca Oladipo abdullahi Ibrahim Department of Mathematical Sciences Olabisi Onabanjo UniversityP.M.B 2002Ago-IwoyeOgun StateNigeria 120005Nigeria Data Science Nigeria Lagos 105102Nigeria Leiden University 1011NCAmsterdamthe Netherlands Department of Computer Science University of IlorinIlorinKwara State240103Nigeria Department of Computer Science Ibrahim Badamosi UniversityLapaiNiger State911101Nigeria Kampala International University 260101Uganda Federal University Lokoja Nigeria Virus Outbreak Data Network-Africa

Research and development are gradually becoming data-driven and the implementation of the FAIR Guidelines(that data should be Findable, Accessible, Interoperable, and Reusable) for scientific data administration and stewardship has the potential to remarkably enhance the framework for the reuse of research data. In this way, FAIR is aiding digital transformation. The ‘FAIRification’ of data increases the interoperability and(re)usability of data, so that new and robust analytical tools, such as machine learning(ML) models, can access the data to deduce meaningful insights, extract actionable information, and identify hidden patterns. This article aims to build a FAIR ML model pipeline using the generic FAIRification workflow to make the whole ML analytics process FAIR. Accordingly, FAIR input data was modelled using a FAIR ML model. The output data from the FAIR ML model was also made FAIR. For this, a hybrid hierarchical k-means (HHK) clustering ML algorithm was applied to group the data into homogeneous subgroups and ascertain the underlying structure of the data using a Nigerian-based FAIR dataset that contains data on economic factors, healthcare facilities, and coronavirus occurrences in all the 36 states of Nigeria. The model showed that research data and the ML pipeline can be FAIRified, shared, and reused by following the proposed FAIRification workflow and implementing technical architecture.

关键词： FAIRification Semantic data model Cluster analysis FAIR data Metadata Machine learning model

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Efficient Resource Allocation with Improved Interference Mitigation in FFR-Aided OFDMA Heterogeneous Networks

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Journal of Electronic Science and Technology 2019年第1期17卷 73-89页

作者： Sani Umar abdullahi Jian Liu Seyed Alireza Mohadeskasaei the School of Computer and Communication Engineering University of Science and Technology Beijing

Fractional frequency reuse(FFR) has recently emerged as an efficient inter-cell interference coordination technique for orthogonal frequency division multiple access(OFDMA) based multi-tier cellular networks due to its low complexity, minimal signaling over-head, and coverage improvement. In this work, an intermediary region(IR) at the border of the center region(CR) and edge region(ER) is defined, which prevents severe cross-tier interference and is usually ignored by other schemes. Furthermore, a strategic resource allocation scheme is proposed, which allows macro users in this new region to be served more resources due to their good channel conditions close to the serving base station(BS), while femto users are assigned resource blocks from sub-bands that receive the least net interference from a set of usable sub-bands in any region. We find by analysis and simulation the optimal threshold for IR, which minimizes the cross-tier interference, and show that the femto throughput is also maximized for this threshold. Numerical results show the proposed scheme outperforms other notable schemes in terms of throughput and outage performances.

关键词： Femto cells fractional frequency reuse(FFR) heterogeneous network interference management macro cells resource allocation

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Optimal Control Model for the Transmission of Novel COVID-19

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Computers, Materials & Continua 2021年第3期66卷 3089-3106页

作者： Isa abdullahi Baba Bashir Ahmad Nasidi Dumitru Baleanu Department of Mathematical Sciences Bayero University KanoNigeria Department of Mathematics Cankaya UniversityAnkara06530Turkey Institute of Space Sciences BucharestRomania Department of Medical Research China Medical University HospitalTaichungTaiwan

As the corona virus(COVID-19)pandemic ravages socio-economic activities in addition to devastating infectious and fatal consequences,optimal control strategy is an effectivemeasure that neutralizes the scourge to its lowest *** this paper,we present a mathematical model for the dynamics of COVID-19,and then we added an optimal control function to the model in order to effectively control the *** incorporate three main control efforts(isolation,quarantine and hospitalization)into the model aimed at controlling the spread of the *** efforts are further subdivided into five functions;u1(t)(isolation of the susceptible communities),u2(t)(contact track measure by which susceptible individuals with contact history are quarantined),u3(t)(contact track measure by which infected individualsare quarantined),u4(t)(control effort of hospitalizing the infected I1)and u5(t)(control effort of hospitalizing the infected I2).We establish the existence of the optimal control and also its characterization by applying Pontryaging maximum *** disease free equilibrium solution(DFE)is found to be locally asymptotically stable and subsequently we used it to obtain the key parameter;basic reproduction *** constructed Lyapunov function to which global stability of the solutions is *** simulations show how adopting the available control measures optimally,will drastically reduce the infectious populations.

关键词： COVID-19 optimal control Pontryaging maximum principle mathematical model existence of control stability analysis

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Clinical relevance of circulating non-coding RNAs in metabolic diseases:Emphasis on obesity,diabetes,cardiovascular diseases and metabolic syndrome

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Genes & Diseases 2023年第6期10卷 2393-2413页

作者： abdullahi Dandare Muhammad Jawad Khan Aisha Naeem Afrose Liaquat Department of Biosciences COMSATS University IslamabadIslamabad 45550Pakistan Department of Biochemistry Usmanu Danfodiyo UniversitySokoto 840104Nigeria Ministry of Public Health POB42DohaQatar Department of Oncology Lombardi Comprehensive Cancer CenterGeorgetown University Medical CenterWashingtonDC 20057USA Shifa College of Medicine Shifa Tameer-E-Millat UniversityIslamabad 45550Pakistan

Non-coding RNAs(ncRNAs)participate in the regulation of several cellular processes including transcription,RNA processing and genome *** aberrant expression of ncRNAs is associated with several pathological *** this review,we focused on recent information to elucidate the role of various regulatory ncRNAs i.e.,micro RNAs(miRNAs),circular RNAs(circRNAs)and long-chain non-coding RNAs(lncRNAs),in metabolic diseases,e.g.,obesity,diabetes mellitus(DM),cardiovascular diseases(CVD)and metabolic syndrome(MetS).The mechanisms by which ncRNAs participated in disease pathophysiology were also *** regulate the expression of genes at transcriptional and translational *** modulate the regulation of gene expression via miRNA sponging activity,interacting with RNA binding protein and polymerase II transcription *** regulate the expression of genes by acting as a protein decoy,miRNA sponging,miRNA host gene,binding to miRNA response elements(MRE)and the recruitment of transcriptional element or chromatin *** examined the role of ncRNAs in the disease pathogenesis and their potential role as molecular markers for diagnosis,prognosis and therapeutic *** showed the involvement of ncRNAs in the onset of obesity and its progression to MetS and ***-192,miRNA-122,and miRNA-221 were dysregulated in all these metabolic *** ncRNAs,implicated in at least three diseases include miRNA-15a,miRNA-26,miRNA-27a,miRNA-320,and *** of ncRNAs increased the risk of development of DM and MetS and its progression to CVD in obese ***,these molecules are potential targets to arrest or delay the progression of metabolic diseases.

关键词： Biomarkers CircRNAs LncRNAs Metabolic diseases miRNAs Non-coding RNAs Therapeutic targets

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