bluuebunny/crossref_metadata_2025_split huggingface dataset:
A comparative study of elements relationship in sediment of Anambra Drainage Basin in wet and dry season and its sustainable management
Authors: Ayogu C.N. , Phil-eze P.O. , Ayogu N.O. , Iweanya R.I. 
Published: October 2019

Abstract
This research is aimed at examining geo-chemistry of stream sediment in the Anambra Drainage Basin. Twelve sediment samples were collected using sediment grab from the six sub basins and analyzed for 21 parameters in the wet and dry season. The selected 21 parameters are -clay, silt, fine sand, coarse sand, pH/H2O, KCL, carbon, organic matter, nitrates, sodium, potassium, calcium, magnesium, cation exchange capacity, base saturation, aluminum, hydrogen, phosphorus, manganese, zinc and iron. There was a significant relationship (r=>.661, p<0.05) between variables-base saturation and potassium chloride; organic matter and carbon; nitrates and clay; hydrogen and pH/H2O; fine sand and clay; manganese and fine sand; hydrogen and potassium chloride; manganese and CEC; coarse sand and silt; calcium and fine sand together with manganese and coarse sand. The sources of sediment were from natural and artificial origin. The basin requires management to ensure its sustainability.
Kinetics and Thermodynamics of Adsorption of Rhodamine B onto Bentonite Supported Nanoscale Zerovalent Iron Nanocomposite
Authors: Dada Adewumi O. , Adekola Folahan. A. , Odebunmi Ezekiel. O. , Inyinbor Adejumoke. A. , Akinyemi Banjo A , Adesewa Ilesanmi, D. 
Published: October 2019

Abstract
Bentonite clay supported nanoscale zerovalent iron (BC-nZVI) composite was successfully prepared. BC-nZVI was characterized by physicochemical and spectroscopic techniques. Surface area as determined by sear’s method is 291.2 cm2. Adsorption operational parameters were investigated in a batch technique. At 500 mg/L initial concentration, 120 minutes contact time and pH 3, 454.81 mg/g quantity was adsorbed. The highest adsorption percentage removal efficiency was obtained at room temperature. Kinetic data fitted best to pseudo second order and the mechanism was diffusion governed. The kinetic models were further validated by sum of square error (SSE) and non-linear Chi-square statistical models (X2). The values of the thermodynamic parameters: standard enthalpy change ΔH (-10.597 Jmol−1)to (-5558 Jmol−1.), standard entropy change, ΔS (-277.804 J mol−1 K−1)- to (-139.2595 J mol−1K−1) and the Gibbs free energy (ΔG) revealed that the adsorption process was feasible, spontaneous and exothermic in nature. The performance of BC-nZVI enlisted it as a great potential adsorbent for effective removal of Rhodamine B and therefore recommended for application in industrial effluent treatment.
Characterization of Nanoformulations from Montmorillonite clay for the decontamination of zearalenonein cereals using X-ray Diffraction Technique
Authors: Olopade B. K , Oranusi S. , Nwinyi O. C. , Njobeh P. B. , Lawal I. A 
Published: October 2019

Abstract
Montmorillonite clay due to its abundance and environmental friendliness has several industrial applications among which are the adsorption of mycotoxins in foods and feed. The mycotoxin; zearalenone (ZEA) is oestrogenic and has been implicated in hormonal and reproductive issues for both man and animals. Thus, nanoformulations from Montmorillonite clay and Cymbopogoncitratus (lemongrass) extracts were developed for the reduction of the toxin in millet. The various formulations include: Montmorillonite clay to which extract of Cymbopogoncitratus(lemon grass essential oil)has been incorporated (Mont-LGEO), Montmorillonite clay mixed with C. citratus(lemon grass)powder (Mont-LGP) and Montmorillonite clay washed with NaCl (Mont-Na). Pure Montmorillonite clay (Mont) and C. citratus (lemon grass) powder (LGP) served as the controls for the treatment. Each of these compositions were applied to millet samples at a concentration of 8 % and 12% and stored for 4 weeks. XRD patterns for compositions containing Montmorillonite clay revealed major peaks at 2-Theta value of 20.06° representing Montmorillonite and 26.56° and 68.53°representing quartz. The level of ZEA in all treated samples was quantified after 4 weeks using the Liquid Chromatography tandem mass spectrophotometer LC-MS/MS. All the compositions were effective in the decontamination of zearalenone. Furthermore, C. citratus powder was the most effective in the decontamination of zearalenone in the cereal after 4 weeks.
Offshore aquaculture practice; a potential for meeting Nigeria fish demand – a review
Authors: Akinsorotan A M , Akinsorotan O A , Jimoh J O , Adene I C , Akiwowo U A 
Published: October 2019

Abstract
The demand for fish in Nigeria is still not met, despite having a domestic production estimated at about 800,000 metric tonnes. The demand stands at about 2.1 million metric tonnes per year. There is a shortfall of about 1.3 million metric tonnes. To solve this problem Nigeria has turned to fish importation while several other policies are being put in place by successive administrations to improve on local production. However, none of the efforts has been successful so far. The aim of this paper is to assess the potentials of offshore aquaculture within the exclusive economic zone (EEZ) of Nigeria with the view of meeting the fish demand of Nigerians. The paper develops a framework for the operation of offshore aquaculture. The implications of climate change on offshore fish production along the coastal area were highlighted. Strategies and policy measures needed to combat the challenges facing offshore aquaculture in order for it to live to its full potentials in protecting the living welfare of the fishermen and ensuring food security are also discussed.
Facile synthesis of N’-(anthracen-9(10H)-ylidene)-4-(4-hydrophenyl)-6-methyl-2-oxo-1,2,3,4-tetra hydropyrimidine-5-carbohydrazide and other derivatives
Authors: Ajani Olayinka O. , Owolabi Fisayo E. , Jolayemi Emmanuel G. , Audu Oluwatosin Y. , Ogunleye Olatunde M. 
Published: October 2019

Abstract
Pyrimidine as vital constituents of nucleic acid is recognized for its role in the chemotherapy of AIDS. Hydrazide-hydrazones are important moieties with notable biological diversity in drug design. Thus, the aim of this present study is to synthetically couple these two frameworks together in order to achieve small molecular targets for possible development of improved therapeutic candidates. This was achieved in a domino reaction starting with one-pot three-component reaction to afford ethyl-4-(4-hydroxyphenyl)-6-methyl-2-oxo-1,2,3,4-tetrahydropyrimidine-5-carboxylate, 7 which upon treatment with hydrazine hydrate under acid-mediated condition gave 8, as an essential precursor and reactive intermediate. The expeditious condensation of intermediate 8 with various cyclic and straight chain ketones furnished N’-(anthracen-9(10H)-ylidene)-4-(4-hydrophenyl)-6-methyl-2-oxo-1,2,3,4-tetrahydropyrimidine-5 -carbohydrazide 9a and other 9b-i scaffolds as envisaged. The reaction progress was monitored by thin layer chromatography (TLC) and upon reaction completion, the purification process was carried out with recrystallization and/or column chromatography. The authenticity of the prepared products 9a-i was confirmed by spectroscopic means including IR, UV, 1H-NMR, 13C-NMR and DEPT-135 as well as analytical data. These final products are good candidates for further study as regards anti-plasmodial activity which are been developed and examined.
Microwave-assisted synthesis of coumarin-based 5,6-dihydro pyrimidin-2(1H)-one derivatives
Authors: Aderohunmu Damilola V. , Ajani Olayinka O. , Oduselu Gbolahan O. , Adebiyi Ezekiel F. 
Published: October 2019

AbstractCoumarin is an oxygen-containing heterocyclic compound of great medicinal important and high versatility in electronic and material science research. Incorporation of pyrimidine as a linker on coumarin is a way to provide improved application in solar cell research by extension of unsaturation for improved electronic transition. Convention synthesis approach is common in organic synthesis but have some disadvantages like affecting the eco-system due to discharge of toxic chemical during the process. On the other hand, microwave irradiation is eco-friendly and accelerates synthesis to afford great products following interesting reaction schemes and steps at reduced time. Hence, microwave assisted synthesis of novel coumarin-based 5,6-dihydropyrimidin-2(1H)-one derivatives was herein achieved via a three-step synthetic approach. The reaction was initiated with catalyst supported multicomponent reaction to produce 3-acetylcoumarin7which upon condensation with five aromatic aldehydes furnished chalcones 8a-e. Microwave assisted reaction of chalcones8a-ewith lone pair donor, urea led to the formation of the targeted coumarin-based 5,6-dihydropyrimidin-2(1H)-one9a-ein good-to-excellent yields. The structures were established using spectroscopic data and notable physical properties and the results obtained were consistent with the expected structure of the products. The compounds will be good for further study to authenticate their applications in drug design and material science research.
Economic Analysis of Wastewater Reuse in Covenant University
Authors: Omole D.O. , Jim-George T. , Akpan V.E 
Published: October 2019

Abstract
Wastewater reuse is a vital technique to supplement existing water resources for both developing and developed nations. However, the economic research into the design and implementation of a wastewater reuse scheme is required in order to determine the feasibility of any wastewater reuse project from an economic stand point. There are numerous benefits of wastewater recycling. However, these benefits are often not evaluated due to several factors. Nevertheless, the valuation of these benefits is required to justify investment decisions. This research uses cost-benefit analysis to evaluate the benefits of implementing a wastewater reuse scheme in a university community. The investment decision is influenced by the result obtained from the cost benefit analysis calculation. The result of the Net Present Value of this research showed that, the University could recoup its initial investments and also realize huge profits implementing a wastewater reuse scheme. Meaning that the research is or would be feasible financially. This research also shows that with the use of constructed wetland, an extensive method of wastewater treatment, the energy costs accrued per year by the University community would be reduced by millions of naira. Furthermore, the environmental and social benefits of the projects were also considered to complete an economic analysis. The results showed that there are significant environmental and social benefits which includes sustainable groundwater withdrawal, the avoidance of land subsidence and corporate social responsibility.
Synthesis and Characterization of Mg doped LaCoO3 Nano-Catalyst for Soot oxidation in Diesel Engines
Authors: Akinlolu Kayode , Abimbola Akinsiku , Omolara Bamgboye , Abimbola Adebisi , Kehinde Ogunniran 
Published: October 2019

Abstract
A series of Mg doped LaCoO3 perovskite nano catalysts were synthesized using sol gel method. The prepared nano catalysts were characterized using the various characterization techniques such as X-Ray, Powder Diffraction, Inductively Coupled Plasma Atomic Spectroscopy, Fourier-Transform Infrared Spectroscopy, Scanning Electron Microscopy, High Resolution Transmission Electron Microscopy, and Brunauer-Emmett Teller. The XRD results showed the purity of the prepared catalyst as no segregated phases were observed and also confirming the crystallinity of the prepared catalyst. The catalytic evaluation shows that upon introduction of Mg into the perovskite structure, the catalytic performances of the catalyst were greatly increased with La0.8Mg0.2CoO3 giving the lowest T50 at 480 °C.
First principles calculations of the optoelectronic properties of magnesium substitutes in Lead based ABX3 compounds
Authors: Johnson O. O. , Olutuase P. E. , Oyewande O. E. 
Published: October 2019

Abstract
Perovskites are potential materials for the fabrication of cheap and efficient solar cells with a suitable Electron Transport Layer (ETL) as base. Currently, the most efficient Perovskite Solar Cells (PSCs) are made of Methyl Ammonium Lead Iodide (MALI), CH3NH3PbI3, typically with anatase ETL, which is toxic due to the presence of lead. Magnesium is a non-toxic potential substitute for lead in MALI PSCs. This study focuses on simulating and calculating the optoelectronic properties of magnesium based perovskites and comparing them with those of the lead-based perovskites, to know if they will serve as a better substitute for lead (due to its high toxicity). We performed atomistic simulations of Methyl Ammonium Magnesium Iodide (MAMI), CH3NH3MgI3 and Methyl Ammonium Lead Iodide (MALI), CH3NH3PbI3, both in the triclinic and orthorhombic phases, using Density Functional Theory within the Generalised Gradient Approximation using Ultra Soft Perdew-Burke-Enzherh of pseudopotentials. All atomistic simulations were done using well-converged k-points and cut-off energies. Results obtained showed that both MAMI and MALI possess similar optoelectronic properties in the triclinic and orthorhombic phases, strongly indicating that MAMI based perovskite materials are potential replacement candidates for fabricating cheap and efficient solar cells with little or no toxicity.
Prediction of phase equilibria in multicomponent water-salt systems by means of translation method
Authors: Soliev Lutfullo , Tursunbadalov Sherali 
Published: October 2019

Abstract
The translation method which can produce all the geometrical figures and closed phase equilibria diagram for multicomponent water-salt systems was described. The phase equilibria in quinaryNaCl - KCl -MgCl2 - CaCl2 - H2O (25°C) system which is an important part of the more complex oceanic Na, K, Mg, Ca//Cl, SO4- H2O system were determined using translation method. Three invariant points of quadruple saturation, tenmonovariant curves of triple saturation and twelvedivariant fields of double saturation salts were identified in the system. Two of the curves extend between the quinary invariant points while the other eightare generated from extension of the relevant quaternary invariant points into the quinary composition. A total phase equilibria diagram for the quinary NaCl - KCl - MgCl2 - CaCl2 - H2O system at 25°C was constructed on the basis of obtained results. The diagram was fragmented into divariant fields of common crystallization of two salts. A good agreement was observed between the results obtained in this work and the available data in literature.
Green Synthesis of Pseudo-Cubic Ag/Ni Bimetallic Nanoparticles using Senna occidentalis Leaf Extract
Authors: Abimbola Akinsiku Anuoluwa , Oluseyi Ajanaku Kolawole , Olugbenga Dare Enock 
Published: October 2019

Abstract
This study reports plant-mediated co-reduction approach for the synthesis of Ag/Ni bimetallic nanoparticles (Ag/Ni BNPs). In view of sustainability development, aqueous leaf extract of an indigenous Senna occidentalis (coffee senna) acted as a reducing agent. Cold extraction was carried out on the biodiversity plant using water and methanol as solvent media by way of “green” synthesis. Qualitative analysis was done to identify possible secondary metabolites present in the extract. Synthesis of the nanohybrid was achieved using two different precursor concentrations at 70°C. Techniques including Uv-visible spectroscopy, scanning electron microscopy and energy dispersive X-ray spectroscopy were engaged for optical, morphological and compositional characterisation of the Ag/Ni BNPs, respectively. The reaction colour changed from green to dark brown due to the excitation of electron and change in the electronic energy levels of metal nanoparticles. Presence of nickel in the nanohybrid resulted in blue shift in the absorbance wavelengths when compared with the corresponding monometallic Ag NPs (341 to 327 nm). The optical property displayed by Ag/Ni BNPs is a pointer for potential application as optical material.
Qualitative analysis, total phenolic content, FT-IR and GC-MS characterisation of Canna indica: bioreducing agent for nanoparticles synthesis
Authors: Bolade Oladotun P. , Akinsiku Anuoluwa A. , Adeyemi Alaba O. , Jolayemi Gbenga E. , Williams Akan B. , Benson Nsikak U. 
Published: October 2019

Abstract
Within the framework of determining capping and stabilizing bioactive components present in Canna indica towards nanoparticles synthesis, phytochemical screening, total phenolic content, infrared spectroscopy and chromatographic characterisation were carried out on the locally sourced plant. Extracts were prepared from C. indica leaves using ethanol, de-ionised water (DW) and ethanol/DW in ratio 1:1. Qualitative screening showed the presence of saponins, alkaloids, terpenoids, phenols and coumarins. Highest total phenolic content (TPC) was observed in the aqueous fraction and least in ethanol fraction. Characterisation was carried out using Fourier Transform - Infrared spectroscopy (FT-IR) and Gas Chromatography - Mass Spectrometry (GC-MS). Absorption bands observed from FT-IR analysis showed presence of aromatic O-H stretch (3300 cm−1) and aromatic C=C stretch (1451 and 1640 cm−1) respectively. GC-MS analysis of ethanolic extract indicated the presence of dl-.alpha.-tocopherol – a phenolic compound.
Optimal evacuation decision policies for Benue flood disaster in Nigeria
Authors: Taiwo E. S. , Adinya I. , Edeki S. O. 
Published: October 2019

Abstract
This research develops a probabilistic evacuation decision policy model to determine the optimal decision for the cases of no evacuation, evacuation, and delay decision at a particular point in time in the event of a threatening flood disaster adapted to the case of Nigeria. This work explores the use of decision tree analysis and a program written in MATLAB to solve problems arising from the models to determine the optimal decision. An application to the case of Benue flood 2012 reveals that earlier evacuation would have saved the decision-maker (government) almost 4-times less than the cost incurred after evacuation was initiated at later time.
Implementation of Real-time Detection Algorithm for Space Debris Based on Multi-core DSP
Authors: Sun Q , Niu Z D , Yao C 
Published: October 2019

Abstract
The purpose of this paper is to implement a real-time detection algorithm for CCD star image on multi-core DSP platform. It can effectively identify weak stellar targets and space debris. It mainly includes two parts: the space debris detection method and DSPs’ project. there are several steps in this algorithm: background suppression, smear removing, stellar targets detection, space debris detection, track establishment. As for implementation, This project includes three parts: communication port design, pipeline design and memory partition. The final results show that the platform given in this paper can successfully detect weak stellar targets and space debris in real time, and establish tracks with high-accuracy of the space debris in complex environment. The maximum time of processing a 2048*2048 (in gray 16-bit sets) image is approximately 600ms.
An Innovation of Interaction Method Based on Force Feedback in HMD System
Authors: Liu Zehua , Wang Yigang 
Published: October 2019

Abstract
With the development and wide application of virtual reality technology, the emerging virtual reality system brings better visual experience. In the field of scientific visualization, immersive visual experience and well-designed interactive method can enhance user experience. Since traditional 2D input devices such as mouse and keyboard cannot support direct 3D manipulation, they cannot be applied to virtual reality visualization. Moreover, basic VR interactive devices like controllers also have some problems such as low operation precision and the lack of sensory simulation and real-time feedback operation. In order to solve these problems, we propose a virtual reality interactive method based on force feedback to deal with the complex interactive operation of scientific data in 3D space. We also reported a user testing which compared our approach with traditional VR controllers in same tasks demonstrates that the proposed approach has higher accuracy and better user experience.
Contourlet Transform based Multi-scale Fusion Network for Face Hallucination
Authors: Wei W , Feng G Q , Cui D L 
Published: October 2019

Abstract
Recently, Convolutional neural network (CNN) has achieved great success in the field of face hallucination. However, such approaches usually generate blurry and over-smoothed Super Resolution (SR) results, and the performance suffers from degradation when super-resolve a very Low Resolution (LR) face image. To solve these problems, this paper proposes an contourlet transform based accurate CNN architecture, namely Multi-scale Fusion CNN (MSFC), which are able to reconstruct a High Resolution (HR) face image from a very low resolution input. First of all, we present multi-scale fusion CNN (MSFC) to fully detect and exploit features from LR inputs. And then, we formulate the SR problem as the prediction of contourlet transform coefficients, which is able to make MSFC further capture the texture details for super-resolve face images. Extensive qualitative and quantitative experiments show that the proposed method is capable of preserving details and achieves superior SR performance compared to the state-of-the-art methods.
Face Recognition for Attendance Management System Using Multiple Sensors
Authors: Prangchumpol Dulyawit 
Published: October 2019

Abstract
The problem about checking attendant is the main problem of teacher in nowadays. In order to solve this problem, Many systems have been completely changed due to this evolve to achieve more accurate results. However, in my study, these study still lack of the efficiency about correct the face and students cannot verify or pose to edit the data when there is error in class. With this reason, this research aims to develop the facing attendant system to be more effective and the mechanic of the system which students can easily verify. The experiment of this research is to find the way to recognize the face by using the technique of Android Face Recognition with Deep Learning which can correctly recognize up to 97%. The database is connected to Attendance Management System web server by using cloud storage. The result on screen in real time on the application so that students can verify and check data.
A High Efficient FEMD-Based Data Hiding Algorithm
Authors: Liu J N , Zhou Q , Hu Y L , Wei J Y 
Published: October 2019

Abstract
This paper proposes a high efficient FEMD-based data hiding method suitable for various complexity images. The method uses FEMD's extraction function to map a cover pixel (8 bits) and a randomizable auxiliary pixel (log2
n+1 bits) into a data of n
2-ary notational system, which can significantly improve the data hiding efficiency. When n=2, the embedding efficiency of FEMD is 1/8, and that of our method is 1/5, which is increased by 60% and the image quality of the two methods is almost the same. In other words, our method will have higher image quality when the embedding rate of the two methods is same. When n=4 or 8 and the dada embedding efficiency is equal, the PSNR of this method is increased by 1.3 dB or 1.1 dB compared with FEMD. In addition, the auxiliary pixel as a key can improve the security of our data hiding algorithm.