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Adamu Usman Abubakar,Abu Bakar Noor Hana Hanif,Zango Zakariyya Uba,Sambudi Nonni Soraya,Iqbal Anwar,Hussin Mohd Hazwan,Hamidon Tuan Sherwyn 한국화학공학회 2023 Korean Journal of Chemical Engineering Vol.40 No.9
Low-temperature hydrothermal technique was employed for the synthesis of highly porous and crystalline MIL-101(Cr) metal-organic frameworks series. The resulting as-synthesized MOFs were characterized by Fourier transform infrared (FTIR) spectroscopy, powdered X-ray diffraction (XRD), scanning electron microscopy (SEM), nitrogen adsorption-desorption analysis, thermogravimetric analysis (TGA), photoluminescence (PL) spectroscopy, and ultraviolet-visible (UV-vis) diffuse reflectance spectroscopy. The photocatalytic activity of the MOFs was evaluated for degradation of phenanthrene (PHE) under visible light irradiation. Among the MOFs, MIL-101@160 has the highest Brunner Emmett-Teller (BET) specific surface area and corresponding pore volume of 2,592.2 m2g−1 and 1.09 cm3g−1, respectively. Furthermore, it has shown higher photocatalytic degradation of the PHE than other samples with 98% degradation efficiency achieved within 150 minutes.
Abubakar Adamu,Jitsupa Deepho,Abdulkarim Hassan Ibrahim,Auwal Bala Abubakar 경남대학교 수학교육과 2021 Nonlinear Functional Analysis and Applications Vol.26 No.2
In this paper, an inertial Halpern-type forward backward iterative algorithm for approximating solution of a monotone inclusion problem whose solution is also a fixed point of some nonlinear mapping is introduced and studied. Strong convergence theorem is established in a real Hilbert space. Furthermore, our theorem is applied to variational inequality problems, convex minimization problems and image restoration problems. Finally, numerical illustrations are presented to support the main theorem and its applications.
Abubakar Adamu,Dilber Uzun Ozsahin,Abdulkarim Hassan Ibrahim,Pongsakorn Sunthrayuth 경남대학교 수학교육과 2023 Nonlinear Functional Analysis and Applications Vol.28 No.4
In this paper, an algorithm for approximating zeros of sum of three monotone operators is introduced and its convergence properties are studied in the setting of2-uniformly convex and uniformly smooth Banach spaces. Unlike the existing algorithms whose step-sizes usually depend on the knowledge of the operator norm or Lipschitz constant, a nice feature of the proposed algorithm is the fact that it requires only a diminishing and non-summable step-size to obtain strong convergence of the iterates to a solution of the problem. Finally, the proposed algorithm is implemented in the setting of a classical Banach space to support the theory established.
Potential of Using Ginger Essential Oils-Based Nanotechnology to Control Tropical Plant Diseases
Adamu Abdullahi,Khairulmazmi Ahmad,Intan Safinar Ismail,Norhayu Asib,Osumanu Haruna Ahmed,Abubakar Ismaila Abubakar,Yasmeen Siddiqui,Mohd Razi Ismail 한국식물병리학회 2020 Plant Pathology Journal Vol.36 No.6
Essential oils (EOs) have gained a renewed interest in many disciplines such as plant disease control and medicine. This review discusses the components of ginger EOs, their mode of action, and their potential nanotechnology applications in controlling tropical plant diseases. Gas chromatography-mass spectroscopy (GC-MS), high-performance liquid chromatography, and headspace procedures are commonly used to detect and profile their chemical compositions EOs in ginger. The ginger EOs are composed of monoterpenes (transcaryophyllene, camphene, geranial, eucalyptol, and neral) and sesquiterpene hydrocarbons (α-zingiberene, ar-curcumene, β-bisabolene, and β-sesquiphellandrene). GC-MS analysis of the EOs revealed many compounds but few compounds were revealed using the headspace approach. The EOs have a wide range of activities against many phytopathogens. EOs mode of action affects both the pathogen cell’s external envelope and internal structures. The problems associated with solubility and stability of EOs had prompted the use nanotechnology such as nanoemulsions. The use of nanoemulsion to increase efficiency and supply of EOs to control plant diseases control was discussed in this present paper. The findings of this review paper may accelerate the effective use of ginger EOs in controlling tropical plant diseases.
Indo Sabo Bulai,Haruna Adamu,Yuguda Abubakar Umar,Ahmed Sabo 대한환경공학회 2021 대한환경공학회지 Vol.43 No.4
Objectives : In this research work, we investigated the biocatalytic potency of orange and watermelon garbage enzymes in the remediation of used motor oil-contaminated soils. The optimization of the biocatalytic remediation process was evaluated through D-optimal of response surface methodology (RSM) design of design expert. Methods : The optimization of the biocatalytic process was evaluated with D-optimal model of response surface methodology (RSM) design, where input variables in the system were garbage enzymes solutions of orange and watermelon peels (biocatalysts) and two different pollution levels. The two levels of pollution factor considered were 5 and 10 % (w/w) oil pollution levels and used as independent variables; while the response of the system was in oil and grease (O&G) removal as dependent variables that were monitored under 6-week remediation process. Results and Discussion : The result indicated that the model was highly significant and good predictors of the response fate of oil and grease (O&G) removal by the orange and watermelon garbage enzymes, as indicated by their coefficients of determination: R² = 0.90627 and R² = 0.88365 at p < 0.05, respectively. Therefore, it was observed from the numerical optimization carried out that 54.2 and 53.8 % O&G removal was achieved with orange garbage enzymes at 5 and 10 % pollution level respectively after six weeks. On the other hand, 54.7 and 55.2 % O&G removal was accomplished with the same pollution level respectively under the influence of watermelon garbage enzymes after six weeks of the remediation process. Conclusion : In response to what was achieved in this research work, the enzymes produced from the orange and watermelon garbage removed oil in terms of O&G from used motor oil-contaminated soils biocatalytically and hence could be applied in the remediation of oil contaminated soils.
CPU Scheduling with a Round Robin Algorithm Based on an Effective Time Slice
Tajwar, Mohammad M.,Pathan, Md. Nuruddin,Hussaini, Latifa,Abubakar, Adamu Korea Information Processing Society 2017 Journal of information processing systems Vol.13 No.4
The round robin algorithm is regarded as one of the most efficient and effective CPU scheduling techniques in computing. It centres on the processing time required for a CPU to execute available jobs. Although there are other CPU scheduling algorithms based on processing time which use different criteria, the round robin algorithm has gained much popularity due to its optimal time-shared environment. The effectiveness of this algorithm depends strongly on the choice of time quantum. This paper presents a new effective round robin CPU scheduling algorithm. The effectiveness here lies in the fact that the proposed algorithm depends on a dynamically allocated time quantum in each round. Its performance is compared with both traditional and enhanced round robin algorithms, and the findings demonstrate an improved performance in terms of average waiting time, average turnaround time and context switching.
CPU Scheduling with a Round Robin Algorithm Based on an Effective Time Slice
( Mohammad M. Tajwar ),( Md. Nuruddin Pathan ),( Latifa Hussaini ),( Adamu Abubakar ) 한국정보처리학회 2017 Journal of information processing systems Vol.13 No.4
The round robin algorithm is regarded as one of the most efficient and effective CPU scheduling techniques in computing. It centres on the processing time required for a CPU to execute available jobs. Although there are other CPU scheduling algorithms based on processing time which use different criteria, the round robin algorithm has gained much popularity due to its optimal time-shared environment. The effectiveness of this algorithm depends strongly on the choice of time quantum. This paper presents a new effective round robin CPU scheduling algorithm. The effectiveness here lies in the fact that the proposed algorithm depends on a dynamically allocated time quantum in each round. Its performance is compared with both traditional and enhanced round robin algorithms, and the findings demonstrate an improved performance in terms of average waiting time, average turnaround time and context switching.