MEDITERRANEAN JOURNAL OF NATURE AND SCIENCE ADVANCE RES. VOL.18 (9)


MEDITERRANEAN INTERNATIONAL JOURNAL OF NATURE AND SCIENCE ADVANCE RESEARCH

VOL. 18 NO. 9 (MEJNSAR) JUNE, 2022


Published by: MEDITERRANEAN PUBLICATIONS AND RESEARCH INTERNATIONAL, Canberra ACT 0201, Australia.
Bayero University, Kano, PMB 3011, Kano State, Nigeria. E-MAIL: mediterraneanresearchpub@gmail.com PHONE: +234-708-717-324


INVESTIGATION OF VAR WITH GARCH FAMILY MODELS: ONTAXES REVENUE VOLATILITY MODELING  

 

*BABA GIMBA ALHASSAN, **FADHILAH BINTI YUSOF, **SITI MARIAM NORRULASHIKIN, ***IBRAHIM LAWAL KANE

*Department of Mathematical Sciences, Universiti Teknologi Malaysia (UTM), Malaysia. [Department of Statistics, School of Applied and Natural Sciences, Federal Polytechnic Bida (FPB) Niger State Nigeria]. **Department of Mathematical Sciences, Universiti Teknologi Malaysia (UTM), Malaysia. *** Department of Mathematical Sciences, Faculty of Applied and Natural Sciences, Umaru Musa Yar’adua University Katsina State  

 

Abstract

Accurate future values forecast is the tools Policy makers for tax revenue planning. It’s owed the fact that tax revenue volatility is a valuable measure of uncertainty about the economic environment of a country. This paper applies multivariate time series analysis to the monthly (N Naira) tax revenue data spanning from January 1981 to December 2018 to examine the behavior of tax revenue in Nigeria. To capture the volatility effect in tax revenue data, the paper applies vector autoregression (VAR) and GARCH family models. The study divulges that tax revenue series displays the empirical consistencies such as non-normality non-stationarity, clustering volatility, and serial correlation that validate the application of the GARCH family methods. The study indicates that tax revenue behavior is usually induced by past data about tax revenue. It’s also inferring that previous monthly’s volatility in tax revenue can distress present volatility of tax revenue. In addition, the estimate for asymmetric volatility suggests that positive shocks imply a higher next period conditional variance than negative shocks of the same sign. The main policy implication of these results is that since tax revenue volatility may increase administrative costs and reduce the gains to income revenue, knowledge of tax revenue volatility estimation and forecasting is significant for fiscal policy and tax revenue administrative management.

KEYWORDS: Data, GARCH, Modelling, Tax revenue, Volatility

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CHARACTERIZATION OF ACETYLATED WOOD FLAKES AND ITS HIGH-DENSITY POLYETHYLENE BLENDS USING THERMOGRAVIMETRIC ANALYSIS, SCANNING ELECTRON MICROSCOPY AND FOURIER TRANSFORM INFRA-RED SPECTROSCOPY

 

AZEH YAKUBU 1*, FATIMA ABUBAKAR1, MONDAY MUSAH1, JOHN TSADO MATHEW1, MUSA TANKO UMAR1, YAHAYA SAYYADI MOHAMMAD2, ALIYU TURAKI IBRAHIM1, AWWAL MOHAMMED1, HAUWA LARAI MUHAMMAD IDRIS1, AISHETU IBRAHIM MUHAMMAD1, UGOEZE UCHEOMA ELELE1

1Ibrahim Badamasi Babangida University, Department of Chemistry, Lapai, Niger State-Nigeria. 2Ibrahim Badamasi Babangida University, Department of Food Science and Technology, Ibrahim Badamasi Babangida University, Lapai, Niger State-Nigeria. .

 

Abstract

Acetylation reaction has been used for surface improvement of natural fibers in blends/composite fabrication for useful applications. It reduces the hydrophilicity of natural fibers. Effects of acetylation on wood flakes/fibers of Gmelina Arborea have been investigated. Acetylation was carried out in batches using acetic anhydride as acetylating agent in the presence of acetic acid as catalyst at 120˚C for 1, 2, and 3 h under reflux. The success of acetylation was calculated as weight percent gains (WPGs) due to acetylation. Polyethylene blends were prepared by the solution blending of acetylated/unacetylated wood flakes by casting-evaporation method in toluene. The effects of acetylated/unacetylated wood flakes on the biodegradability of blends was investigated. Acetylated wood and blends were characterized using Fourier Transform Infrared Spectroscopy (FT-IR), Thermogravimetry Analysis (TGA/DTGA) and Scanning Electron Microscopy (SEM). Results show that modification was successful based on the C=O absorption peak at 1722 cm-1 and 1640 cm-1. TGA results revealed the best blend composition to be 0.5/0.5 g. Properties of modified wood flakes/blends were enhanced due to lower equilibrium moisture content caused by acetyl groups. The modified wood flakes could find industrial applications in fiber and particles/plywood board products for various construction purposes while unmodified blends can be used in the production of polymer based biodegradable products. Biodegradation results indicate that, blending of acetylated wood flakes with polyethylene matrix enhanced its biodegradation. Thus, adding acetylated wood flakes into polyethylene could reduce the life-span of PE in environment.

KEYWORDS: Acetylation; Wood flakes; Fourier Transform Infrared Spectroscopy; poly-blends; scanning electron microscopy

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COMPARATIVE ANALYSIS OF PEARL MILLET [PENNISETUM GLAUCUM (L.) R. BR.], COWPEA [VIGNA UNGUICULATA (L.)] AND COWPEA SOWING DATES IN MAIDUGURI, NORTH EASTERN, NIGERIA

 

J A BASSI; & I. ALIYU

Department of Crop Production, Faculty of Agriculture, University of Maiduguri, P.M.B. 1069, Maiduguri, Borno State Nigeria.

 

Abstract

Field experiments were conducted in 2018 and 2019 rainy seasons at the Teaching and Research Farm of the Department of Crop Production, University of Maiduguri, Maiduguri (11047N; 12016E) to determine the comparative analysis of  Pearl millet [Pennisetum glaucum (L.) R. Br.], Cowpea [Vigna unguiculata (L.)] and cowpea sowing dates. The treatments consisted of three pearl millet varieties: ZATIP, SOSAT-C-88 and LACRI-9702-IC, two cowpea varieties: Borno Brown and IT 89 KD- 288 and four cowpea sowing dates:  0 weeks after sowing millet (WASM), 1 WASM, 2 WASM and 3 WASM. The experimental design was Split-Split plot with the pearl millet varieties allocated to the main plots, cowpea varieties assigned to the sub-plots and cowpea sowing date assigned to the sub- sub plots in 1:1 alternate row arrangement, and replicated three times. The results showed that in 2015, 2016 and the combined mean, Plant height, number of branches/ plant, grain yield/hectare and were significantly greater for Borno Brown than IT 89 KD- 288 variety. Delaying cowpea sowing date by three weeks after sowing the millet component decreased number of branches, grain yield and fodder yield in cowpea. The SOSAT-C-88 and Borno Brown intercrop produced the highest grain yield of pearl millet in both the years and the combined mean. The cowpea variety Borno Brown was more competitive with pearl millet at simultaneous ( 0 WASM ) or 1 week after sowing millet that had greater grain yield than IT 89 KD- 288. Fodder yield and pod yield were greater for Borno Brown intercropped with LACRI-9702-IC or SOSAT-C-88 than IT 89 KD- 288 intercropped with ZATIP. Linear relationships among agronomic parameters of cowpea revealed that, pod yield, grain and fodder yield increased significantly with increase in plant height and number of branches.

KEYWORDS: Vigna, pennisetum, dates, pearl.

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A RESIDUE NUMBER SYSTEM BASED CONVOLUTION NEURAL NETWORK ALGORITHM

 

ABDULRAHMAN SHOLA AKANBI; DAMILOLA DAVID POPOOLA; & PROFESSOR KAZEEM ALAGBE GBOLAGADE

Department of Computer Science, Faculty of Information and Communication Technology, Kwara State University, Malete

 

Abstract

A number of positively convergent elements have aided the development of Deep Learning. The efficiency of floating point operations is highly optimized in modern micro-architectures. A whole area of research has emerged around quantized models, which reduce by orders of magnitude the amount of required memory, with a particular focus on quantized convolution neural networks. However, there is still a need to rethink how these quantized models can then be accelerated efficiently. The research starts by recognizing that inference in convolution neural networks is fundamentally a Digital Signal Processing (DSP) task. Memory, computation, and power utilization were expensive, in a different but similar way to how they are on modern mobile platforms, whose budget is set by their battery capacity. It is therefore of utmost importance to provide an alternative solution to this problem. This research introduces Residue Number System Architecture to the process to take advantage of the limited – but not binary – range of values that the operands can assume during the convolution operation in a quantized convolution neural network, to perform convolution more efficiently. This has reduced the memory footprint of neural networks, such that many off-chip memory accesses which dominate energy consumption during evaluation networks which is memory and computational intensive has also been reduce by parallel computation.

KEYWORDS: Deep Learning, Neural Network, Convolution Neural Network, Digital Signal Processing,

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SPATIAL STATISTIC: A SYSTEMATIC LITERATURE REVIEW

 

*YUSUF MOHAMMED INUWA; **SHUAIBU MUHAMMED ADE; **MUSA SULAIMAN IBRAHIM; *ABDULAZIZ DAUDA; **ABUABAKAR JAMAL ABUABAKAR; ***AYUBA PETER; ****ALI USMAN; & **SALIHU YAKUBU

*Department of Surveying and Geo-informatics, Abubakar Tatari Ali State Polytechnic, Bauchi State, Nigeria. **Department of Surveying and Geo-informatics, Abubakar Tafawa Balewa University, Bauchi State, Nigeria. ***Department of  Geomatics, university of Maiduguri,Nigeria. ****Department of pure and applied physics, Federal University Wukkari,Taraba State, Nigeria.

 

Abstract

There is quite a lot of advanced statistical analysis tools are improved depending on geographical information system (GIS). These tools basically deal with geographical distribution of a visible fact Include spatial association; pattern analysis, scale, zoning, geo-statistics, Classification, spatial sampling and spatial boundaries are especially difficult problem areas for further Research. Review the spatial statistics which help the researcher to understand pattern, relationship and trend of spatial data. To comprehensively conduct a review of several available techniques, models, frameworks and approaches for spatial statistics which help the researcher to understand pattern, relationship and trend of spatial data. We applied SLR (Systematic Literature Review) methodology, on 22 selected primary studies was been reviewed and thoroughly analyzed. Maps are very important tools in this process. They are used to visualize spatial data, to expose and recognize spatial distributions and relations. The development of GIS was changed method of those that working with spatial data in general to cartography approach and application. We realized that there is a high demand of additional explainalation of Spatial Statistics, because is n easier the researcher understands what type of and possible predict base on patterns, relationship and trend of data. And shed light on important decisions, and the ability to guide decisions in business, science, government, medicine, and industry.

KEYWORDS: contouring, interpolation method, kringing, visualization method Spatial Statistical Analysis; graphic representation of spatial data, Spatial Autocorrelation; regression, orthogonal function and singular value decomposition. A Systematic Literature Review.

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ARDUINO-BASED RF WATER LEVEL MONITORING SYSTEM FOR OVERHEAD OR UNDERGROUND WATER TANK

 

MOHAMMED KABIRU HALIDU; ALIYU BUBA DAHIRU; & MOHAMMED HASSAN YAKUBU

Computer Engineering Department, Federal Polytechnic Mubi, Adamawa State, Nigeria.

 

Abstract

Water plays a vital role in our day to day life. Most houses, especially in urban areas, uses overhead or underground water tanks for water storage and usage. Overhead and underground water storage tanks are normally opaque, which means the water level in it cannot be observed or monitored visually from the outside, thus the need for water level monitoring systems. This work proposed an RF wireless water level monitoring system that uses RF for communicating the water level data from the transmitter section to the remote receiver section of the system. In the study, two circuits are used, first is the transmitter and second is the receiver. An Ultrasonic sensor is used in the transmitter circuit, which measures the distance of water level from the upper point of the Tank. The distance is measured in centimeters and sent to receiver circuit using RF communication. the result were collected shows that, at a transmission distance of XTR=1m to 10m, and 10 to 20m, (i.e. the distance between the transmitter and the receiver) the readings collected at the receiver is the same with the calibrated readings on the water tank. Which shows that the system performs accurately at a distance of XTR=1m to 20m. When the XTR distance is increased to 30m, there was little or no reception by the receiver, thus, no reading was recorded at XTR=30m. This shows that the system performs at a maximum of XTR=20m, i.e. the range of transmission of the system. Though theoretically, the RF module specification shows that with antenna attached, the transmission range can cover a distance of 100m.

KEYWORDS: Arduino, RF Transmitter & Receiver, Water Level, Monitoring, Control

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APPLICATION OF LIE ALGEBRA TO 3-D HYDROGENIC ATOM

 

AREMU S.O1 ,  NDAWASHI M1, SURAJ ALIYU2

1Federal polytechnic Bauchi. 2Kaduna Polytechnic, Kaduna.

 

Abstract

Lie algebraic method to simple quantum system was examined. Lie algebra were discussed generally with properties and types. The calculus commutators were also analyzed. The realization of SO (2,1) lie algebra was discussed and it was applied to 3-dimensional hydrogen atom.

KEYWORDS: Lie algebra, hydrogen atom.

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EFFICACY OF DIATOMACEOUS EARTH (PROTECT-IT) ON MANAGEMENT OF COWPEA BEETLE (CALLOSOBRUCHUS MACULATUS (COLEOPTERA: CHRYSOMELIDAE)) INFESTING STORED BAMBARA GROUNDNUT (VIGNA SUBTERRANEA)

 

1DAWUD, A. M, & 1BUKAR, A.

1Department of Agricultural Technology, Mohamet Lawan College of Agriculture, P. M. B. 1427, Maiduguri, Borno State.

 

Abstract

Laboratory studies was conducted at Entomology Laboratory of University of Maiduguri under ambient laboratory conditions to assess the efficacy of diatomaceous earth (DE) against C. maculatus infesting bambara groundnut. The bioassays were conducted on treated seeds of Bambara groundnut variety Farin ngangala. C. maculatus adults was bioassayed on 50g seed samples using CRD replicated three (3) times at the following dose rates; DE (250, 500, 750, 1000, 1500 mg/kg of seeds) The effects of treatments on seed germination was conducted on freshly treated seeds and at 90 days after treatment (DAT). The results showed that DE applied at 1000mg/kg and 1500mg/kg completely suppressed ovipostion, adult emergence, damage and weight loss. DE only affected germination at the highest dose rate of 1500mg. It was concluded that DE could be used to manage C. maculatus populations in stored bambara groundnut.

KEYWORDS: Diatomaceous earth; Cowpea; Oviposition; Mortality; Germination

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A STUDY OF NATURAL RADIONUCLIDES IN FREQUENTLY CONSUMED FOODSTUFFS IN ODE-IRELE, ONDO STATE, NIGERIA

 

ABIMBOLA I. ODUDU1, OLUWAKEMI A. OYEBANJO 2, DAMILARE S. ADEPEHIN3* AND MOROMOKE O. ADELAYI1

1Department of Physics, Adeyemi College of Education, Ondo, Ondo State, Nigeria. 2Department of Physics, Tai Solarin University of Education, Ijagun, Ogun State, Nigeria. 3Department of Physics, Federal University of Health Sciences, Otukpo, Benue State, Nigeria.

 

Abstract

Identifying the natural radionuclides in frequently consumed foodstuffs has attracted research interests from many researchers. Here in, we reported the quantities of natural radionuclides in frequently consumed foodstuffs in the community of Ode-Irele in Ondo State, Nigeria. Data obtained for this study were analyzed using the gamma ray spectrometer. Careful examination of six (6) different foodstuffs obtained at random for four (4) different times from the local market of the community was done and all of them were discovered to be rich in Th-232, U-238 and K-40. The activity concentrations of the foodstuffs ranged from 58.21±5.93 Bqkg-1 to 1.91±0.41 Bqkg-1 with mean value of 11.74±1.22 Bqkg-1 for Th-232, 41.82±9.48 Bqkg-1 to 3.12±0.39 Bqkg-1 with mean value of 12.38±2.27 Bqkg-1 for U-238 and 1854.12±126.83 Bqkg-1 to 134.72±12.62 Bqkg-1 with mean value of 280.22±30.08 Bqkg-1 for K-40. The minimum and maximum dose rates discovered from the foodstuffs are respectively 8.03nGyh-1 and 132.35nGyh-1. The mean value of all absorbed dose rate (28.99nGyh-1) was found to be less than the world average limit of 55.0nGyh-1. Comparison of the annual committed effective doses determined from the mean of the natural radionuclides (0.155mSvy-1) in the foodstuffs to the global recommended limit (1mSvy-1), showed that the frequently consumed foodstuffs by the people in the community posed no important radiation related risk to them.

KEYWORDS: Concentration, Dose, Gamma spectrometer, Radionuclides, activity

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PROXIMATE AND SENSORY QUALITIES OF “GBUARWAGI” ENRICHED WITH SOYBEANS

 

*EJIM, M.N.; *OMACHI, B.A; AND **EJIM, K.O2

*Department of Nutrition and Dietetics, Federal Polytechnic, P.M.B, 55, Bida,  Niger State. **Department of Chemical Sciences, Federal Polytechnic, P.M.B, 55, Bida,  Niger State.

 

Abstract

The study investigated the proximate and sensory qualities of “gbuarwagi” enriched with soybeans.  “Gbuarwagi” is a snack prepared from fermented millet paste. It is popular among the Nupe people of Kataeregi in Niger state Nigeria. The snack was enriched with varying proportions of soybean flour ( 95% – 5%, 90% – 10%, 85% – 15% millet-soybeans flour). It was produced by mixing fresh pastes prepared from millet mash and soy flour. The paste was then wrapped in several layers of balsam leaves and steamed in a covered pot for 30 minutes. After steaming it was allowed to cool to room temperature. Proximate and sensory composition of the products were determined using standard laboratory procedures. Data was analysed on (SPSS version 19.0) using analysis of variance ANOVA and  Duncan Multiple Range Test(DMRT) was used to separate means and significant difference was tested at P<0.05. Results showed significant increase in ash (0.50 -3.56), fat (2.89 – 3.14) and protein (6.74- 9.63) contents of “gbuarwagi” as the level of soy-substitution increased.Result for sensory evaluation showed that there were no significant differences (P<0.05) among the samples in taste, appearance, texture and general acceptability. “Soy-Gbuarwagi” (85%millet – 15%soybeans blend) was more nutrient dense in protein and fat content than the other products. . Nutritious and organoleptically acceptable “gbuarwagi”  were successfully produced from all the millet–Soybeans flour blends but the study recommends mass production of sample B(95:5 millet-soyflour flour blend) because it produced the best “gbuarwagi”  quality in terms of proximate composition and sensory evaluation among all formulated blends.

KEYWORDS: Proximate composition, sensory“gbuarwagi” enriched and soybeans

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CLOUD SECURITY ISSUES AND TECHNIQUES

 

YAKUBU NUHU DANJUMA 1, LELE MOHAMMED2, YAMUSA IDRIS ADAMU3

Department of Computer Science, the Federal Polytechnics Bauchi.

 

Abstract

According to a Forbes’ report published in 2015, cloud-based security spending is expected to increase by 42%.  According to another research, the IT security expenditure had increased to 79.1% by 2015, showing an increase of more than 10% each year. International Data Corporation (IDC) in 2011 showed that 74.6% of enterprise customers ranked security as a major challenge. This paper summarizes a number of peer-reviewed articles on security threats in cloud computing and the preventive. This increase in cloud computing environment also increases security challenges for cloud developers. Users of cloud save their data in the cloud hence the lack of security in cloud can lose the user’s trust. In this paper, I will discuss some of the cloud security issues in various aspects like multi-tenancy, elasticity, availability etc. the paper also discuss existing security techniques and approaches for a secure cloud.

KEYWORDS: Cloud Computing, Cloud Security, Security Threats, Security Techniques, Cloud Security Standards.

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ANTIMICROBIAL ACTIVITY OF ESSENTIAL OIL FROM EUCALYPTUS GLOBULUS ON SALMONELLA TYPHI, STAPHYLOCOCCUS AUREUS, ESCHERICHIA COLI, CANDIDA ALBICANS AND ASPERGILLUS SPECIES

 

DENNIS D. YAKUBU & MANASSEH M. KATSA

Department of Science Laboratory Technology, Isa Mustapha Agwai 1 Polytechnic, Lafia, Nasarawa State, Nigeria.

 

Abstract

Essential oils (Eos) are volatile oils extracted from aromatic plants. In this study, the antimicrobial effects of essential oil from Eucalyptus globulus leaves against selected bacteria, (Salmonella typhi, Escherichia coli and Staphylococcus aureus) and fungi (Aspergillis species and candida albicans) was carried out. Extraction of Essential oil was done by steam distillation. The Antimicrobial sensitivity and minimum inhibitory concentration were determined using Agar well diffusion method to obtain zone of inhibition on Muller-Hinton Agar and potato dextrose agar. Gentamycin was used as positive control, while diamethyl sulfoxide (DMSO) was used as negative control. Results of this study revealed that essential oil of Eucalyptus globulus, has antimicrobial activity against test organisms. Zone of inhibition ranges from 12mm to 29mm with Aspergellus species lowest (12mm) while S.aureus highest 29mm. The minimum inhibitory concentration values ranges from 20.50mg/l to 32.50mg/l. The study indicated that essential oil from E.globulues exhibited strong antimicrobial activity. It is recommended that further study be done to explore its potential for preparation as antimicrobial drug for treatment of infectious diseases.

KEYWORDS: Essential oil, Antimicrobial, Eucalyptus globules, Minimum inhibitory concentrations, sensitivity.

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PRODUCTION AND COMPARATIVE ANALYSIS OF LOCALLY MADE ERASABLE MARKER INK AND COMMERCIALLY MADE WHITE BOARD MARKER INK

 

BULUS, CALEB LARAPS

Department of Science Laboratory Technology (SLT), The Federal Polytechnic Bauchi.

 

Abstract

This research was aimed at producing erasable ink from locally sourced charcoal that can compete favourably with available commercially made white board marker ink. The ink was produced by mixing gum Arabic, ethanol, charcoal, deionised water and phenolphthalein thoroughly and heating the mixture to 60 0C. The ink was then cooled and strained using a filter cloth. Two different ink formulations A and B were produced and subjected to physiochemical analysis to ensure that it conformed to standard. The results obtained were pH (5.5 2.2, and 4.3), viscosity (0.001147Ns/m2, 0.00095 Ns/m2, 0.003013 and 0.00924Ns/m2) and drying time (2.21 sec., 2.21sec., 9.04sec, and 15.46sec) respectively for samples A, and B. Samples A  had the best properties regarding drying time, viscosity, eligibility and erasability. The concentration of the various elements present in the ink is comparable with that of the standard ink available in the market.

KEYWORDS: Production, Commercially, Erasable, Board, Marker Ink

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A HYBRID OF CNN AND LSTM MODELS FOR CLASSIFICATION OF HATEFUL TEXT ON TWITTER AND FACEBOOK

 

HYELLAMADA SIMON; TEMITOPE BETTY WILLIAMS; & WADZANI A. GADZAMA

Department of Computer Science, Federal Polytechnic, Mubi P.M.B. 35 Mubi, Adamawa State, Nigeria.

 

Abstract

People may express themselves on social media sites such as Twitter and Facebook since they are user-friendly and free. Apart from positive aspects of social media, these sites also have disadvantages. Due to laxity to impose limit to express of peoples’ opinions, anyone can make negative and unrealistic comments in abusive or hateful language against anyone with the intent of tarnishing one’s image and social position. As a result, identifying hate content before it spreads to the masses has become a big responsibility for the government and these websites. Due to non-standard differences in spelling and grammar, automatic hate speech identification confronts numerous obstacles. In this paper, we worked with a number of deep learning models such as RNN, CNN, and hybrid of CNN and LSTM with pre-trained Glove word embedding to detect online hate speech and the best performance was found with hybrid CNN-LSTM in all experiments based on accuracy as Twitter 92%, Facebook 90%, and Twitter+Facebook 91%. Our approach can successfully detect hate speech targeted on individuals or group. Therefore, this approach can be implemented to automatically detect and block hate speech across multiple social media platforms. This can also encourage the way towards the development of policies, strategies, and tools to empower and protect vulnerable communities. This may pave the way for the creation of policies, initiatives, and instruments that empower and safeguard vulnerable individuals and groups.

KEYWORDS: Hate speech, hybrid deep learning, social media.

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MODELING INCIDENCE OF TYPHOID FEVER IN BIDA, NIGERIA (A CASE STUDY OF MEDICAL CENTRE, THE FEDERAL POLYTECHNIC, BIDA)

 

BUSHIRAT T. BOLARINWA, BADMUS M. ADETUNJI AND ISMAILA A. BOLARINWA

Department of Statistics, The Federal Polytechnic, Bida, Nigeria.

 

Abstract

The research performed SARIMA modeling of number of reported cases of typhoid fever at the Medical Center, The Federal Polytechnic, Bida.  Data, covering January 2002 to December 2020 were collected from the Center. A total of eight adequate SARIMA models were fitted to the data.  The mean square (ms) was used as basis for comparing models.  On the basis of ms, SARIMA (1, 0, 2) X (1, 0, 2)12 with ms of 53.32 was found to be the best.  It was hence, used to generate forecasts for January 2021 to December 2023. It was recommended to the Management of the Medical Center, The Federal Polytechnic, Bida to adopt the fitted SARIMA (1, 0, 2) X (1, 0, 1)12 model for planning purposes by utilizing the forecasts.

KEYWORDS: Time series, Typhoid fever, Forecasting, SARIMA, Mean square

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REVIEW: SPECTRAL ANALYSIS OF AEROMAGNETIC DATA INTERPRETATION

 

1AYIGUN S.; 2WANTE H.P (PhD); & 3HAMID K. Y

1&3Department of Pure and Applied Physics, Federal Polytechnic Mubi, Adamawa State, 2Department of Science Laboratory Technology (Physics Unit), Federal Polytechnic Mubi, Adamawa State.

 

Abstract

Spectral analysis of aeromagnetic data interpretation method is a vital tool in the field of geology and geophysics for solid minerals, groundwater, hydrocarbon and geothermal energy exploration. Human existence depends on availability of mineral and their explorations for daily activities in every part of the world. In order to reduce the scarcity of minerals and problems associated with minerals exploration, this paper reviews shed more light on source of data acquisition, data processing and interpretation in respect to the subject matter. Two case studies were considered, the first case study was on the spectral analysis method of aeromagnetic data interpretation in Longuda Plateau and its environs in Adamawa state North Eastern Nigeria. The data of the study area was divided into 16 x16 data points; the data was subjected to 2D Fourier transformation. After the spectral analysis the depth to magnetic sources were discovered ranging from 1900 m to 2620 m at the basement and shallow depth was ranging from 512 m to 670 m magnetic sources. The second case study was on magnetic data processing for hydrocarbon exploration in the Pannonian Basin, Yogoslavia, from the magnetic data analysis, hydrocarbon potential zones were identified.

KEYWORDS: Spectral, Analysis, Aeromagnetic, Exploration, Interpretation, Data, Minerals

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CONVERGENCE OF THE FOURTH ORDER VARIABLE STEP SIZE SUPER CLASS OF BLOCK BACKWARD DIFFERENTIATION FORMULA FOR SOLVING STIFF INITIAL VALUE PROBLEMS

 

1NAJAMUDDEEN BALA AND 2HAMISU MUSA

1Department of Statistics, Federal Polytechnic Kaura-Namoda, Zamfara State. 2Department of Mathematics and Statistics, Umaru Musa Yar’adua University Katsina

 

Abstract

The necessary conditions for the convergence of the  fourth order variable step size super class of block backward differentiation formula for solving stiff initial value problems  is established in this paper, it is also shown in this paper that the new method is both zero stable and consistent , the order of the method is also derived.

KEYWORDS: variable step size, block backward differentiation formula, Stiff, initial value problems.

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DEVELOPMENT OF A FORMULA FOR N-PERIOD DYNAMIC PROGRAMMING MODEL: AN APPLICATION OF ECONOMIC ORDER QUANTITY (EOQ)

 

HASSAN, S. A, USMAN. A. M AND YAHAYA A. A.

Mathematics Department, Federal Polytechnic, Bida, Niger State.

 

Abstract

This work analyzed an N-period dynamic programming planning horizon as applied to Economic Order Quantity (EOQ). The ordering policy during each period considers when demand is favorable or unfavorable to determine the EOQ and the associated profit at the end of each planning horizon. We also generate a formula to determine the number of matrix transitions for each planning horizon until final stage and then prove the formula by the principle of mathematical induction.

KEYWORDS: Dynamic programming, EOQ and planning horizon.

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MODELING THE EFFECT OF A DETERMINISTIC VARIATION OF THE INTEREST RATE ON TWO SPOT PRICES: IMPLICATION FOR INTERVENTION

 

OBINICHI C. MANDAH; & ENU-OBARI N. EKAKA-A

 

Abstract

The process of modeling financial boom between two interacting spot prices is a challenging problem in the theory of applied mathematical finance (AMF). To tackle this formidable problem, we have utilized a computationally efficient ODE 45 numerical method. We have found that when the chosen interest rate parameter values were both decreased by 10%, the spot price benefits to a quantified financial boom level of 447.05 approximately where as the spot price two similarly benefits from a quantified financial boom level of 43.67 provided the length of the period of trading is 19 months and the initial investments is 20 dollars.  In addition, when the interest rate parameter values were varied together from 15% to 30%, we have found a decrease in the level of the estimated financial boom for the two spot prices over the same trading period. The full novel results that we have obtained which have not been seen elsewhere are presented and discussed quantitatively.

KEYWORDS: ODE 45, Applied mathematical finance (AMF), financial boom

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E–LEARNING AS TOOLS FOR FIGHT AGAINST COVID 19 PANDEMIC IN TERTIARY INSTITUTION

 

MUSTAPHA KASSIM, NUHU ABDULLAHI & UMAR BELLO

Department Of Computer Science, Federal Polytechnic, Mubi

 

Abstract

The outbreak of coronavirus disease (COVID19) has been impacting millions of people and threatening their life across the world which leads to rapid growth of the use of e-learning systems around the globe, assessing the success and impact of such systems is becoming increasing important. The present study emphasizes the global impact of the e-learning process during COVID19. The implementation of lockdown and social distancing has been enforced as one of the preventive measures to spread the corona virus infection which has resulted in complete paralysis of global activities. Especially the education system which is completely shut down and to proceed with the academic curriculum, there is a shift from the traditional learning process to electronic learning. This can be cited with an increased number of online classes, conference, meeting, etc. the e-learning system is designed using HTML, CSS, PHP, and MySQL to ensure proper interaction between students and lecturers, this system incorporated audio calls and video conferencing via Skype and webinar (Web Based) respectively. It gives the system the ability to give, receive, and discuss information in real time during the lockdown period due to the COVID19.

KEYWORDS: E-Learning, web Application, improved e-learning, e-learning model, layered architecture system.

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SKILL IMPROVEMENT NEEDS OF TECHNICAL TEACHER’S IN TEACHING LATHE, AND SHAPER MACHINES OPERATIONS IN TECHNICAL COLLEGES IN KADUNA STATE

 

DR ALI, AWALU MALIKI; BYAHNET TENE MAIDAWA; & CHIMEN SABO JAMOUS

Department of Technical Education, School of Vocational and Technical Education, Kaduna State College Education Gidan Waya, Kafanchan

 

Abstract

The major purpose of the study was to determine skill improvement needs of technical teachers in teaching lathe, and shaper machines operations in technical colleges in Kaduna State.  two research questions were answered and two hypotheses were tested at 0.05 level of significance.  The population for the study consisted of 103 experienced and less experienced technical teachers, drawn from technical colleges in Kaduna State.  The entire population was studied; hence no sample was taken.  Survey research design was used for the study.  Structured questionnaire on (SINTTMSOTC) was used to generate data for the study.  This instrument was face validated by three experts from the faculty of Vocational and Technical Education, University of Nigeria, Nsukka.  The questionnaire was pilot tested with a sample of 20 experienced and less experienced technical teachers’ in technical college, Kano State.  Cronbach Alpha reliability test was used to determine the internal consistency of the instrument and this yielded a reliability coefficient of 0.84.  Data analyzed using mean statistics for the research questions and t-test was used to test the null hypotheses.  It was recommended that experienced and less experienced technical teachers in technical colleges should build capacity on skill improvement needs, needed by students for effective functioning in the lathe and drill press machines operations.  This could be achieved by organizing workshops and seminars, and also to undergone re-training in their areas of specializations.

KEYWORDS: teaching, technical teachers, machines, skills, improvement needs

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