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Determination of optimum tapping date for gum arabic production in South Kordofan State, Sudan

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Journal of Forestry Research 2011年第4期22卷 685-688页

作者： idris musa adam Kamal E.M. Fadl Agricultural Research Corporation Kadugli Research Station P.O. Box 10 Kadugli Sudan Agricultural Research Corporation El-Obeid Research Station P.O. Box 429 El-Obeid Sudan.

Acacia senegal, the gum arabic producing tree, is the most important tree species for the livelihood of the people in South Kordofan State, Sudan. The objective of this study was to determine the optimum tapping date for gum arabic production in the study area. A randomized complete block design experiment with three replications was conducted at （Mead） area for two continuous growing seasons 2008/2009 - 2009/2010. The treatments comprised six tapping dates （1 Oct, 15 Oct, 1 Nov, 15 Nov, 1 Dec, and 15 Dec）. Results ishowed highly significant differences （p 〈 0.001） in gum arabic yield （g／tree） in all pickings and in the total gum yield between the tapping dates. The results also showed that tapping of trees on 15 October and 1 November gave a higher yield compared to the other dates. The highest gum yield of 1086.6 and 661.2 g/tree was recorded on 15 October and 15 November, while the lowest gum yield of 297.9 g/tree was recorded when the trees were tapped on 1 October. The two highest-yield dates of tapping （15 Oct and 1 Nov） are recommended as the best time for tapping for gum arabic production in South Kordofan State. These results can be used to increase gum arabic production and farmer income in South Kordofan State.

关键词： gum Arabic date of tapping agroforestry system SouthKordofan Sudan

Langmuir-Schaefer Film Investigation and Density Functional Theory Band Gap Calculations of Calix[n]arene-Para-Aminobenzoic Acid for Drug Nanosensor Application

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Journal of Wuhan University of Technology(Materials Science) 2024年第5期39卷 1311-1318页

作者： WONG Yeong Yi F L Supian A Radzwan M musa N F N Abd Karim Department of Physics Sultan Idris Education UniversityTanjong Malim 35900Malaysia Department of Chemistry Sultan Idris Education UniversityTanjong Malim 35900Malaysia

Calix[n]arenes was utilized to detect PABA,the primary sunscreen *** study investigates the interaction of calix[4]arene(C4),calix[6]arene(C6),and PABA using the Langmuir method and first-principle density functional theory(DFT).Using the Langmuir-Schaefer(LS)technique,an ultrathin film composed of calix[n]arenes and their complexes with PABA was deposited on various *** on the Langmuir study,the PABA molecule was bonded to the lower rims of both C4 and C6 with the host-guest ratio of 1:*** of the LS films formed were then characterized by ultravioletvisible spectroscopy(UV-Vis),Fourier-transform infrared spectroscopy(FTIR)and carbon,hydrogen,nitrogen,sulfur elemental analyzer(CHNS).The band gap reduction obtained in the DFT study denotes the charge transfer interaction with promising reactivity between the calix[n]arenes and *** sensing of PABA by C4 and C6 is successful based on the formation of bonding between them due to the hosts’effective trapping *** outcomes of this study could be applied to drug delivery systems for future pharmaceutical and medical applications.

关键词： calix[n]arenes band gap density functional theory Langmuir-Schaefer PABA sensor

Performance analysis of empirical models for predicting rock mass deformation modulus using regression and Bayesian methods

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Journal of Rock Mechanics and Geotechnical Engineering 2020年第6期12卷 1263-1271页

作者： Adeyemi Emman Aladejare musa Adebayo idris Oulu Mining School University of OuluOuluFinland Division of Mining and Geotechnical Engineering Department of CivilEnvironmental and Natural Resources EngineeringLuleåUniversity of TechnologyLuleåSweden

Deformation modulus of rock mass is one of the input parameters to most rock engineering designs and *** field tests for determination of deformation modulus are cumbersome,expensive and *** has prompted the development of various regression equations to estimate deformation modulus from results of rock mass classifications,with rock mass rating(RMR)being one of the frequently used *** regression equations are of different types ranging from linear to nonlinear functions like power and *** method has recently been developed to incorporate regression equations into a Bayesian framework to provide better estimates of geotechnical *** question of whether Bayesian method improves the estimation of geotechnical properties in all circumstances remains ***,a comparative study was conducted to assess the performances of regression and Bayesian methods when they are used to characterize deformation modulus from the same set of RMR data obtained from two project *** study also investigated the performance of different types of regression equations in estimation of the deformation ***,probability distributions and prediction indicators were used to assess the performances of regression and Bayesian methods and different types of regression *** was found that power and exponential types of regression equations provide a better estimate than linear regression *** addition,it was discovered that the ability of the Bayesian method to provide better estimates of deformation modulus than regression method depends on the quality and quantity of input data as well as the type of the regression equation.

关键词： Deformation modulus Rock mass Regression equation Bayesian method Performance analysis Rock mass rating(RMR)

Blast-induced ground vibration prediction in granite quarries:An application of gene expression programming,ANFIS,and sine cosine algorithm optimized ANN

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International Journal of Mining Science and Technology 2021年第2期31卷 265-277页

作者： Abiodun Ismail Lawal Sangki Kwon Olaide Sakiru Hammed musa Adebayo idris Department of Energy Resources Engineering Inha UniversityIncheon 22212Republic of Korea Department of Mining Engineering Federal University of TechnologyAkureNigeria Department of Physics Federal UniversityOye-EkitiNigeria Division of Mining and Geotechnical Engineering Department of CivilEnvironmental and Natural Resources EngineeringLuleåUniversity of Technology97187 LuleåSweden

Blasting of rocks has intrinsic environmental impacts such as ground vibration,which can interfere with the safety of lives and ***,accurate prediction of the environmental impacts of blasting is imperative as the empirical models are not accurate as evident in the ***,there is need to consider some robust predictive models for accurate prediction *** expression programming(GEP),adaptive neuro-fuzzy inference system(ANFIS),and sine cosine algorithm optimized artificial neural network(SCA-ANN)models are proposed for predicting the blast-initiated ground vibration in five granite *** input parameters into the models are the distance from the point of blasting to the point of measurement(D),the weight of charge per delay(W),rock density(q),and the Schmidt rebound hardness(SRH)value while peak particle velocity(PPV)is the targeted output.100 datasets were used in developing the proposed *** performance of the proposed models was examined using the coefficient of determination(R2)and error *** R2 values obtained for the GEP,ANFIS,and SCA-ANN models are 0.989,0.997,and 0.999,respectively,while their errors are close to *** proposed models are compared with an empirical model and are found to outperform the empirical model.

关键词： Artificial intelligence Blasting Rock density Comminution Environmental impacts Sensitivity analysis

Predictions of elemental composition of coal and biomass from their proximate analyses using ANFIS, ANN and MLR

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International Journal of Coal Science & Technology 2021年第1期8卷 124-140页

作者： Abiodun Ismail Lawal Adeyemi Emman Aladejare Moshood Onifade Samson Bada musa Adebayo idris Department of Mining Engineering Federal University of TechnologyAkureNigeria Oulu Mining School University of OuluOuluFinland Informetrics Research Group Ton Duc Thang UniversityHo Chi Minh CityVietnam Faculty of Applied Sciences Ton Duc Thang UniversityHo Chi Minh CityVietnam Clean Coal and Sustainable Energy Research Group Faculty of Engineering and the Built EnvironmentUniversity of the WitwatersrandJohannesburgSouth Africa Division of Mining and Geotechnical Engineering Department of CivilEnvironmental and Natural Resources EngineeringLuleåUniversity of TechnologyLuleåSweden

The elemental composition of coal and biomass provides significant parameters used in the design of almost all energy conversion systems and *** laboratory tests to determine the elemental composition of coal and biomass is time-consuming and ***,limited research has suggested that there is a correlation between parameters obtained from elemental and proximate analyses of these *** this study,some predictive models of the elemental composition of coal and biomass using soft computing and regression analyses have been ***-one samples including parameters of elemental and proximate analyses were used during the analyses to develop multiple prediction *** variables for multiple prediction models were selected as carbon,hydrogen,and *** volatile matter,fixed carbon,moisture and ash contents as independent variables,three different prediction models were developed for each dependent parameter using ANFIS,ANN,and *** addition,a routine for selecting the best predictive model was suggested in the *** reliability of the established models was tested by using various prediction performance indices and the models were found to be ***,the developed models can be used to determine the elemental composition of coal and biomass for practical purposes.

关键词： Biomass Coal Elemental composition Proximate analysis Soft computing Regression analysis

Effects of melatonin on changes in cognitive performances and brain malondialdehyde concentration induced by sub-chronic coadministration of chlorpyrifos and cypermethrin in male Wister rats

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Asian Pacific Journal of Tropical Biomedicine 2014年第4期4卷 318-323页

作者： idris Sherifat Banke Ambali Suleiman Folorunsho Bisalla Mohammed Suleiman Mohammed musa Onukak Charles Ayo Joseph Olusegun Department of Pharmacology and Toxicology.Faculty of Veterinary Medicine Usmanu Danfodiyo University Sokoto Department of Pharmacology and Toxicology Faculty of Veterinary MedicineUniversity of Ilorin Department of Pathology Faculty of Veterinary MedicineAhmadu Bello University Department of Pharmacology and Toxicology Faculty of Veterinary Medicine Ahmadu Bello University Department of Pharmacology and Toxicology Faculty of Veterinary MedicineAhmadu Bello University

Objective:To evaluate the ameliorative effect of melatonin on sub-chronic chlorpyrifos(CPF)and cypermethrin(CYP)-evoked cognitive changes in male Wistar ***:Fifty adult male Wistar rats,divided into five groups of ten rats each,were used for the ***ⅠandⅡwere given distilled water and soya oil(2 ml/kg)***Ⅲwas administered with melatonin at 0.5 mg/kg ***Ⅳwas administered with CPF[7.96 mg/kg(1/10th LD_(50))]and CYP[29.6 mg/kg(1/10th LD_(50))].and Group V was administered with CPF[7.96 mg/kg(1/10th LD_(50)]and CYP[29.6 mg/kg(1/10th LD_(50)]30 min after melatonin(0.5 mg/kg).The regimens were administered by gavage once daily for 12 ***,cognitive performances were determined and the brain was evaluated for malonaldehyde ***:CPF and CYP induced cognitive deficits and increased brain malonaldehyde concentration,which were all ameliorated by ***:Cognitive deficits elicited by CPF and CYP was mitigated by melatonin due to its antioxidant property.

关键词： Chlorpyrifos Cypermethrin Cognition Brain malondialdehyde Melatonin

Recent advances in application of moving bed bioreactors for wastewater treatment from recirculating aquaculture systems: A review

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Aquaculture and Fisheries 2022年第3期7卷 244-258页

作者： Abubakar Shitu Gang Liu Aliyu idris Muhammad Yadong Zhang musa Abubakar Tadda Wanhe Qi Dezhao Liu Zhangying Ye Songming Zhu Institute of Agricultural Bio-Environmental Engineering College of Bio-systems Engineering and Food ScienceZhejiang UniversityHangzhou310058China Key Laboratory of Equipment and Informatization in Environment Controlled Agriculture Ministry of AgricultureHangzhou310058China Department of Agricultural and Environmental Engineering Faculty of EngineeringBayero UniversityKanoNigeria

In recent years,government investments in implementing restrictive public policies on the treatment and discharge of effluents from the aquaculture industry have ***,efficient and cleaner methods for aquaculture production are *** aquaculture systems(RAS)offers water conservation by recycling the treated aquaculture water for *** wastewater treatment using a moving bed bioreactors(MBBRs)process has been considered well suited for maintaining good water quality,thereby making fish farming more ***,improvements were achieved in tackling the influence of salinity,organic matter,disinfectant,and bioreactor start-up process on the MBBR performance *** review highlights an updated overview of recent development made using MBBR to treat the residual water from ***,nitrification and simultaneous nitrification-denitrification(SND),and other hybrid processes for nitrogen removal were ***,future challenges and prospects of MBBRs in RAS facilities that need to be considered were also proposed.

关键词： Ammonia removal Biofilm carriers Sustainability Salinity Nitrogenous compound Accelerated start-up

Prevalence of human leishmaniasis in Sudan: A systematic review and meta-analysis

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World Journal of Methodology 2022年第4期12卷 305-318页

作者： musa Ahmed Abdullah Abdulslam Abdullah idris Bello Suad Hamad Aboelgassim Bashir Department of Reproductive Health Sciences Pan African University Life and Earth Sciences InstituteUniversity of IbadanIbadan 119Oyo stateNigeria Department of Veterinary Surgery and Anaesthesia Faculty of Veterinary MedicineALsalam UniversityAl-fula 120West Kordofan stateSudan Department of Biomedical Sciences Faculty of Veterinary SciencesUniversity of GadarifGadarif 208Sudan Department of Animal Health and Production Technology Oyo State College of Agriculture and TechnologyIgboora 120Oyo stateNigeria Department of Zoonotic Disease and Disease Control Ministry of Animal ResourcesAl-Hamadi 215South Kordofan stateSudan Department of Pre-Clinical Sciences Faculty of Veterinary MedicineALSalam UniversityAl-Fulla 209West Kordofan stateSudan

BACKGROUND There are three main forms of leishmaniasis in humans:cutaneous leishmaniasis(CL),visceral leishmaniasis(VL),and mucocutaneous *** prevalence of human leishmaniasis varies widely in different countries and different regions of the same *** date,there is no overall estimation of the prevalence of human leishmaniasis in *** To determine the pooled prevalence of human leishmaniasis and the disease risk factors among Sudanese *** From all articles written in English or Arabic languages conducted before the 4th of August 2021 from[Scopus,Web of Science,PubMed,and MEDLINE,African Journals Online(AJOL),ResearchGate,direct Google search,Google Scholar,and universities websites], just 20 articles with a total of 230960 participants were eligible for thisstudy. Data synthesis and analysis were done using STATA software, version 16. EndNotecitation manager version X9.3.3 and Reference Citation Analysis (RCA) were used to remove theduplicated studies and manage the citation *** overall pooled prevalence of human leishmaniasis in Sudan was 21% (with confidence interval12%-30%). CL was the most common type of leishmaniasis in Sudan, with a pooled prevalence of26% followed by VL (18%). Nevertheless, the pooled prevalence of human leishmaniasis in Sudanwas higher in males compared with females (60% vs 40%). The current results revealed that thepeople in the age group between 15 and 44 were the most affected group (60%), and central Sudanhas the highest pooled prevalence of human leishmaniasis (27%) compared with other regions ofSudan. Finally, the prevalence of human leishmaniasis seems to decrease with *** study showed that human leishmaniasis infection is still endemic in many regions in Sudanand highly prevalent in central and eastern Sudan, and CL is the most prevalent in the *** and adults were more susceptible to infection compared with females and ***, the human leis

关键词： Cutaneous leishmaniasis Human leishmaniasis Meta-analysis Prevalence Sudan Visceral leishmaniasis

Carbon emission efficiency of forest processing industries in China

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Ecological Economy 2023年第3期19卷 217-232页

作者： GUAN Zhi-jie Yahaya idris musa ZHANG Ya-xin GUO Zhi-yuan Wu Jinglian School of Economics Changzhou UniversityChangzhou 213164CHINA

This paper uses an input-output table of China's provinces(2007-2016) to measure carbon emissions of these *** employs a Malmquist-Luenberger(ML) index with expected and undesired outputs,and an absolute β convergence and a conditional β convergence model,to conduct an in-depth analysis of dynamic changes and spatial *** emission efficiency of forest processing industries in 25 regions,including Shanghai,Chongqing,Zhejiang,and Jiangsu are increasing,whereas those of Tianjin,Liaoning,Heilongjiang,and Tibet are *** main contributing factors of carbon emission efficiency in three major regions vary over ***,carbon emission efficiency in the eastern,central,and western regions all have absolute β convergence and conditional β convergence,indicating that different regions are developing toward their own goals and industry,yet regions with lower efficiency are catching up with those where with more efficient strategies in ***,this paper proposes according recommendations.

关键词： input-output model ML index convergence carbon emission efficiency forest industry production