Context: Parkinson's disease (PD) is a multisystem neurodegenerative disorder associated with oxidative stress and disrupted mitochondrial function. It is characterized by motor and non-motor symptoms due to multi-factors. Coconut (Cocos nucifera) milk contains a complex mixture of highly nutritional constituents such as carbohydrates, vitamins and minerals which have remarkable health benefits. Lauric acid (LA) which makes up to 54.5% of total nutrient composition of coconut milk (CM) possesses strong antioxidant properties. Objectives: This study evaluated the effect of CM on PD-associated motor and non-motor deficits in alpha-synuclein (α-syn) transgenic Drosophila melanogaster (D. melanogaster). Methods: W1118 strain (control) and α-syn transgenic (PD strain) of D. melanogaster aged between 1 to 3 days were randomized into various groups. The control flies were fed on untreated diets, while the PD flies were orally exposed to varied concentrations (0, 5, 10 and 15% v/v) of coconut milk diet for 14 days. Subsequently, longevity, behavioral, fecundity and biochemical analyses were conducted across the groups. Results: The results showed that CM significantly increased longevity, climbing ability, egg count and the rate of emergence (P< 0.05). In addition, MDA and NO levels as well as AChE activity were significantly decreased, while GSH level alongside SOD and CAT activities were increased (P< 0.05) in the CM-treated PD flies in a concentration-dependent manner. Conclusions: CM ameliorated PD-associated deficits in D. melanogaster by prolonging lifespan, improving locomotor function, fecundity and redox status.
{"title":"Coconut milk ameliorates motor and non-motor deficits in the alpha-synuclein transgenic Drosophila melanogaster model for Parkinsonism","authors":"O. Idowu","doi":"10.56471/slujst.v5i.283","DOIUrl":"https://doi.org/10.56471/slujst.v5i.283","url":null,"abstract":"Context: Parkinson's disease (PD) is a multisystem neurodegenerative disorder associated with oxidative stress and disrupted mitochondrial function. It is characterized by motor and non-motor symptoms due to multi-factors. Coconut (Cocos nucifera) milk contains a complex mixture of highly nutritional constituents such as carbohydrates, vitamins and minerals which have remarkable health benefits. Lauric acid (LA) which makes up to 54.5% of total nutrient composition of coconut milk (CM) possesses strong antioxidant properties. Objectives: This study evaluated the effect of CM on PD-associated motor and non-motor deficits in alpha-synuclein (α-syn) transgenic Drosophila melanogaster (D. melanogaster). Methods: W1118 strain (control) and α-syn transgenic (PD strain) of D. melanogaster aged between 1 to 3 days were randomized into various groups. The control flies were fed on untreated diets, while the PD flies were orally exposed to varied concentrations (0, 5, 10 and 15% v/v) of coconut milk diet for 14 days. Subsequently, longevity, behavioral, fecundity and biochemical analyses were conducted across the groups. Results: The results showed that CM significantly increased longevity, climbing ability, egg count and the rate of emergence (P< 0.05). In addition, MDA and NO levels as well as AChE activity were significantly decreased, while GSH level alongside SOD and CAT activities were increased (P< 0.05) in the CM-treated PD flies in a concentration-dependent manner. Conclusions: CM ameliorated PD-associated deficits in D. melanogaster by prolonging lifespan, improving locomotor function, fecundity and redox status.","PeriodicalId":299818,"journal":{"name":"SLU Journal of Science and Technology","volume":"23 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2022-12-29","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"114484502","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Thin films (TFs) of cadmium sulphide (CdS) have been deposited at 300K on soda-lime substrates. The effect of the molar concentrations was investigated using the X-ray diffraction (XRD) and UV-Vis Spectrophotometer. The XRD measurements show that the TFs were crystalline and increases with increasing molarities. The optical characteristics of the films were studied at spectra range of 300 – 950 nm. It indicated that the band gap energy ranged between 1.80 to 1.83 eV. The films exhibited a high transmittance in the visible and near infrared regions with a low reflectance values within same regions. Other optical constants like extinction coefficient (K), refractive index (n), real (Ɛᵣ) and imaginary (Ɛᵢ) dielectric constants and optical conductivity (σ) were determined with respect to photon energy (eV). These properties of CdS TFs confirm that the material could be beneficial in various optoelectronics applications.
{"title":"Influence of Molar Concentrations on Chemical Bath Deposited Cadmium Sulphide Thin Films","authors":"J. Emegha","doi":"10.56471/slujst.v5i.288","DOIUrl":"https://doi.org/10.56471/slujst.v5i.288","url":null,"abstract":"Thin films (TFs) of cadmium sulphide (CdS) have been deposited at 300K on soda-lime substrates. The effect of the molar concentrations was investigated using the X-ray diffraction (XRD) and UV-Vis Spectrophotometer. The XRD measurements show that the TFs were crystalline and increases with increasing molarities. The optical characteristics of the films were studied at spectra range of 300 – 950 nm. It indicated that the band gap energy ranged between 1.80 to 1.83 eV. The films exhibited a high transmittance in the visible and near infrared regions with a low reflectance values within same regions. Other optical constants like extinction coefficient (K), refractive index (n), real (Ɛᵣ) and imaginary (Ɛᵢ) dielectric constants and optical conductivity (σ) were determined with respect to photon energy (eV). These properties of CdS TFs confirm that the material could be beneficial in various optoelectronics applications.","PeriodicalId":299818,"journal":{"name":"SLU Journal of Science and Technology","volume":"93 8 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2022-12-29","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"128314925","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Firstly, yeasts were isolated from rotting orange and subjected to ethanol tolerance screening. Next, the substrates were subjected to dilute acid hydrolysis using different concentrations of HNO3 (3 %, 4 % and 5 %) at 20 % solid loading and then autoclaved at 121 oC for 30 minutes. Dilute acid optimisation yielded varying amounts of reducing sugars. The 3 %, 4 % and 5 % HNO3 solutions produced hydrolysates with the highest amounts of reducing sugars of 19.28 g/L, 16.36 g/L and 7.59 g/L from cassava peels, corn bran, and millet bran, respectively. Hydrolysate fermentation resulted in bioethanol concentrations of 7.73 g/L from cassava peels hydrolysate, 8.98 g/L from corn bran hydrolysate and 1.69 g/L from millet bran hydrolysate.
{"title":"Optimisation of dilute acid hydrolysis for bioethanol production from selected agricultural wastes","authors":"A. El-Imam","doi":"10.56471/slujst.v5i.244","DOIUrl":"https://doi.org/10.56471/slujst.v5i.244","url":null,"abstract":"Firstly, yeasts were isolated from rotting orange and subjected to ethanol tolerance screening. Next, the substrates were subjected to dilute acid hydrolysis using different concentrations of HNO3 (3 %, 4 % and 5 %) at 20 % solid loading and then autoclaved at 121 oC for 30 minutes. Dilute acid optimisation yielded varying amounts of reducing sugars. The 3 %, 4 % and 5 % HNO3 solutions produced hydrolysates with the highest amounts of reducing sugars of 19.28 g/L, 16.36 g/L and 7.59 g/L from cassava peels, corn bran, and millet bran, respectively. Hydrolysate fermentation resulted in bioethanol concentrations of 7.73 g/L from cassava peels hydrolysate, 8.98 g/L from corn bran hydrolysate and 1.69 g/L from millet bran hydrolysate.","PeriodicalId":299818,"journal":{"name":"SLU Journal of Science and Technology","volume":"49 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2022-12-29","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"133178862","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
The Exponenial-Weibull Distribution (EWD) has been found to be useful in modeling and prediction of real life events. Its three parameter property makes it more flexible in modeling/accommodating dataset of different characteristics. However, Bayesian technique which is more robust and efficient in most cases, has not been used to estimate the shape parameter of this very important distribution. In view of this, Bayesian technique has been employed to estimate the shape parameter of the distribution. The performance of the technique is assessed and compared with that of maximum likelihood using Monte-carlo simulation. One informative and two non-informative priors as well as three loss functions were used for the study. The results showed that; Bayesian technique produced estimators with lower MSEs regardless of the chosen sample size and parameter value.
{"title":"Estimating the Shape Parameter of the Exponential-Weibull Distribution using Bayesian Technique","authors":"Duru Faith Nick P N Duru","doi":"10.56471/slujst.v5i.250","DOIUrl":"https://doi.org/10.56471/slujst.v5i.250","url":null,"abstract":"The Exponenial-Weibull Distribution (EWD) has been found to be useful in modeling and prediction of real life events. Its three parameter property makes it more flexible in modeling/accommodating dataset of different characteristics. However, Bayesian technique which is more robust and efficient in most cases, has not been used to estimate the shape parameter of this very important distribution. In view of this, Bayesian technique has been employed to estimate the shape parameter of the distribution. The performance of the technique is assessed and compared with that of maximum likelihood using Monte-carlo simulation. One informative and two non-informative priors as well as three loss functions were used for the study. The results showed that; Bayesian technique produced estimators with lower MSEs regardless of the chosen sample size and parameter value.","PeriodicalId":299818,"journal":{"name":"SLU Journal of Science and Technology","volume":"10 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2022-12-29","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"134263218","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
In this paper, we considered the set DX, consisting of all binary relations α ⊆ X × X satisfying (∀x,y,u,v ∈ X) (x,u),(x,v),(y,u)∈α ⇒(y,v) ∈ α. This set is an inverse semigroup under a binary operation defined by xα = yβ−1 ≠ ∅, where xα denotes the set of images of x under α, and yβ−1 denotes the set of pre-images of y under β. Combinatorial results relating to Green’s relations in semigroup are obtained. In particular, we obtained cardinalities of Green’s equivalence classes in the semigroup for the case where X is finite. Also, we obtained the number of idempotent elements in to be equal to , where n = |X| and B(k) is the Bell number defined as the number of partitions of a set of k elements.
{"title":"On cardinalities of Green’s equivalence classes in the semigroup of difunctional binary relations","authors":"M. J. Ibrahim","doi":"10.56471/slujst.v5i.276","DOIUrl":"https://doi.org/10.56471/slujst.v5i.276","url":null,"abstract":"In this paper, we considered the set DX, consisting of all binary relations α ⊆ X × X satisfying (∀x,y,u,v ∈ X) (x,u),(x,v),(y,u)∈α ⇒(y,v) ∈ α. This set is an inverse semigroup under a binary operation defined by xα = yβ−1 ≠ ∅, where xα denotes the set of images of x under α, and yβ−1 denotes the set of pre-images of y under β. Combinatorial results relating to Green’s relations in semigroup are obtained. In particular, we obtained cardinalities of Green’s equivalence classes in the semigroup for the case where X is finite. Also, we obtained the number of idempotent elements in to be equal to , where n = |X| and B(k) is the Bell number defined as the number of partitions of a set of k elements.","PeriodicalId":299818,"journal":{"name":"SLU Journal of Science and Technology","volume":"5 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2022-12-29","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"115499728","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Nowadays, digital images have become the fastest way of transferring information, but the existence of advanced photo-editing tools makes it easy to alter digital image content which may be used as proof in a legal case, thus creating a serious problem. The most frequent techniques of image forgery include splicing and copy move. Splicing is an image forgery technique in which, the forger crops a part of the first image and places it in the second image while Copy move forgery is a type of image manipulation that involves copying and pasting at least one component of an image onto other areas of the same image for the purpose of duplication or removal of objects in the image. Finding the integrity of a digital image is critical since it can be used as a legal proof in a multitude of sectors, including investigation of a crime scene. Equally, finding the features of an image that change as a result of image manipulation such as copy move and splicing is very important as this can be used to distinguish between forged and original image. Therefore, in this paper, we looked upon the effect of image splicing and copy move forgery on haralick features of a digital image. CoMoFoD dataset and Images frames extracted from original and spliced videos were used in this experiment. The result of this experiment shows that splicing and copy move manipulations have no effect on haralick features of a digital image. As a result, these features cannot be used to tell if an image has been spliced or was manipulated by a copy move forgery.
{"title":"Effect of Image Splicing and Copy Move Forgery on Haralick Features of a Digital Image","authors":"N. Sulaiman, M. Bagiwa","doi":"10.56471/slujst.v4i.269","DOIUrl":"https://doi.org/10.56471/slujst.v4i.269","url":null,"abstract":"Nowadays, digital images have become the fastest way of transferring information, but the existence of advanced photo-editing tools makes it easy to alter digital image content which may be used as proof in a legal case, thus creating a serious problem. The most frequent techniques of image forgery include splicing and copy move. Splicing is an image forgery technique in which, the forger crops a part of the first image and places it in the second image while Copy move forgery is a type of image manipulation that involves copying and pasting at least one component of an image onto other areas of the same image for the purpose of duplication or removal of objects in the image. Finding the integrity of a digital image is critical since it can be used as a legal proof in a multitude of sectors, including investigation of a crime scene. Equally, finding the features of an image that change as a result of image manipulation such as copy move and splicing is very important as this can be used to distinguish between forged and original image. Therefore, in this paper, we looked upon the effect of image splicing and copy move forgery on haralick features of a digital image. CoMoFoD dataset and Images frames extracted from original and spliced videos were used in this experiment. The result of this experiment shows that splicing and copy move manipulations have no effect on haralick features of a digital image. As a result, these features cannot be used to tell if an image has been spliced or was manipulated by a copy move forgery.","PeriodicalId":299818,"journal":{"name":"SLU Journal of Science and Technology","volume":"509 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2022-08-20","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"115892555","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
In Sentiment Analysis, there are three (3) approaches namely, machine learning, lexicon-based and ruled based approaches. This study investigates on machine learning approaches which involves text vectorization or word embedding- an essential step in natural language processing tasks since most machine learning algorithms work with numerical input. Text vectorization involves the representation or mapping of words or documents of a corpus to numerical vectors of numbers or real numbers. There are several approaches in the literatures on document/text representation, however this study will focus on three (3) commonly used ones viz; Bag of words, TF-IDF, word2vec and doc2vec, and try to identify the reason behind that for review and recommendation to the researchers in hurry. Review of this study shows that TF-IDF feature vector representations generally outperforms other two (2) vectorization methods word2vec and doc2vec, specifically in book review sentiment classification. And therefore recommended for future studies in book review data set
在情感分析中，有三种方法，即机器学习、基于词典和基于规则的方法。本研究探讨了涉及文本向量化或词嵌入的机器学习方法，这是自然语言处理任务的重要步骤，因为大多数机器学习算法都与数字输入一起工作。文本矢量化涉及语料库的单词或文档到数字或实数的数值向量的表示或映射。文献中有几种关于文档/文本表示的方法，但本研究将重点关注三种常用的方法，即;Bag of words, TF-IDF, word2vec和doc2vec，并试图找出背后的原因，以便尽快审查和推荐给研究人员。回顾本研究表明，TF-IDF特征向量表示总体上优于其他两种向量化方法word2vec和doc2vec，特别是在书评情感分类方面。因此推荐用于未来的书评数据集研究
{"title":"Sentiment Classification: Review of Text Vectorization Methods: Bag of Words, Tf-Idf, Word2vec and Doc2vec","authors":"Haisal Dauda Abubakar, M. Umar","doi":"10.56471/slujst.v4i.266","DOIUrl":"https://doi.org/10.56471/slujst.v4i.266","url":null,"abstract":"In Sentiment Analysis, there are three (3) approaches namely, machine learning, lexicon-based and ruled based approaches. This study investigates on machine learning approaches which involves text vectorization or word embedding- an essential step in natural language processing tasks since most machine learning algorithms work with numerical input. Text vectorization involves the representation or mapping of words or documents of a corpus to numerical vectors of numbers or real numbers. There are several approaches in the literatures on document/text representation, however this study will focus on three (3) commonly used ones viz; Bag of words, TF-IDF, word2vec and doc2vec, and try to identify the reason behind that for review and recommendation to the researchers in hurry. Review of this study shows that TF-IDF feature vector representations generally outperforms other two (2) vectorization methods word2vec and doc2vec, specifically in book review sentiment classification. And therefore recommended for future studies in book review data set","PeriodicalId":299818,"journal":{"name":"SLU Journal of Science and Technology","volume":"23 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2022-08-20","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"131368770","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Metaheuristic algorithms have proven to be quite effective at solving global optimization issues, particularly feature selection difficulties. This class of algorithms often uses a specialized local search technique as an inner component or as a post-processing mechanism to improve the performance of their search process. This paper presents a comprehensive survey of the use of local search methods integrated into metaheuristic algorithms for optimizing the feature selection process. Based on the manner of operation, the local search methods examined in this study were classed as one-way or two-way. In addition, practical suggestions were also discussed to point out possible future directions.
{"title":"Integration of Specific Local Search Methods in Metaheuristic Algorithms for Optimizing the Feature Selection Process: A Survey Authors","authors":"Isuwa Jeremiah","doi":"10.56471/slujst.v4i.267","DOIUrl":"https://doi.org/10.56471/slujst.v4i.267","url":null,"abstract":"Metaheuristic algorithms have proven to be quite effective at solving global optimization issues, particularly feature selection difficulties. This class of algorithms often uses a specialized local search technique as an inner component or as a post-processing mechanism to improve the performance of their search process. This paper presents a comprehensive survey of the use of local search methods integrated into metaheuristic algorithms for optimizing the feature selection process. Based on the manner of operation, the local search methods examined in this study were classed as one-way or two-way. In addition, practical suggestions were also discussed to point out possible future directions.","PeriodicalId":299818,"journal":{"name":"SLU Journal of Science and Technology","volume":"78 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2022-08-20","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"124535710","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Background: In video forgeries, the insertion, duplication and deletion of frames are the most common forgeries that are used by attackers to alter targeted videos for malicious intent. Researchers have proposed the use of active and passive technologies for detecting video forgeries over the years. Active approaches are used to detect the occurrence of alterations in digital video with the use of embedded features such as digital signature and watermarks. However, techniques that are based on active approaches are only applicable to specialized hardware devices. A passive technique, on the other hand, detects forgery using the behavioral cues encoded in a video. In this paper, a passive video forgery detection system based on frame similarity analysis is presented.Inter frame forgeries (Insertion, Deletion, and Duplication) were detected using the proposed technique, which was unaffected by scene changes.The technique has the overall performance of 98.07% precision, 100% recall and 99.01% accuracy.
{"title":"An Inter-Frame Forgery Detection Technique for Surveillance Videos Based on Analysis of Similarities","authors":"Anas Abdullahi, M. Bagiwa, A. Roko, Samaila Buda","doi":"10.56471/slujst.v4i.265","DOIUrl":"https://doi.org/10.56471/slujst.v4i.265","url":null,"abstract":"Background: In video forgeries, the insertion, duplication and deletion of frames are the most common forgeries that are used by attackers to alter targeted videos for malicious intent. Researchers have proposed the use of active and passive technologies for detecting video forgeries over the years. Active approaches are used to detect the occurrence of alterations in digital video with the use of embedded features such as digital signature and watermarks. However, techniques that are based on active approaches are only applicable to specialized hardware devices. A passive technique, on the other hand, detects forgery using the behavioral cues encoded in a video. In this paper, a passive video forgery detection system based on frame similarity analysis is presented.Inter frame forgeries (Insertion, Deletion, and Duplication) were detected using the proposed technique, which was unaffected by scene changes.The technique has the overall performance of 98.07% precision, 100% recall and 99.01% accuracy.","PeriodicalId":299818,"journal":{"name":"SLU Journal of Science and Technology","volume":"27 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2022-08-20","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"124406641","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
This paper introduces the R package arfurimaaparch version 0.1.0 for time series computations, big data analytics and estimation of Autoregressive Fractional Unit Root Integral Moving Average-Asymmetric Power Autoregressive Conditional Heteroscedasticity (ARFURIMA-APARCH) model. The fdr, arfurimaaparch, arfurimaaparchforecast, arfurimaaparchdiagnostic and arfurimaaparch.sim are the main functions of the package. An improved version of the arfurima package version 1.1.0 of Jibrin and Rahman (2019) for implementing Monte Carlo simulation is also presented. Daily Nigeria all share index and West Texas Intermediate (WTI) crude oil prices for the period 26th January 2004 to 31st December 2018 were used to explained the usage of the packages. When the arfurimaaparch package is compared with other long memory packages, It would produce better stationary process after transformation, appropriate fractional differencing values in the interval of , minimum Akaike Information Criteria values, larger log-likelihood values, minimum p-values of the ARFURIMA-APARCH parameters estimates and large p-values of the Ljung-Box, ARCH-LM and Jarque-Bera test. Findings show that both R packages and their functions are robust, simple and user-friendly. As conclusion, the R packages are suitable, good and reliable for time series analysis computations, statistical analysis and big data analytics.
本文介绍了用于时间序列计算、大数据分析和估计自回归分数阶单位根积分移动平均-非对称幂自回归条件异方差(ARFURIMA-APARCH)模型的R包ARFURIMA-APARCH version 0.1.0。包括:动脉粥样硬化、动脉粥样硬化、动脉粥样硬化预测、动脉粥样硬化诊断和动脉粥样硬化。Sim是包的主要功能。还介绍了用于实现蒙特卡罗模拟的Jibrin和Rahman(2019)的arfurima包1.1.0版本的改进版本。2004年1月26日至2018年12月31日期间的每日尼日利亚所有股票指数和西德克萨斯中质原油(WTI)价格用于解释包装的使用情况。arfurimaaparch包与其他长记忆包相比，经过变换后的平稳过程更好，在区间内的分数阶差值合适，赤池信息准则值最小，对数似然值较大，arfurimaaparch参数估计的p值最小，Ljung-Box检验、ARCH-LM检验和Jarque-Bera检验的p值较大。结果表明，R包及其功能都是健壮的、简单的和用户友好的。综上所述，R包适用于时间序列分析计算、统计分析和大数据分析，性能良好且可靠。
{"title":"New R package arfurimaaparch for Estimation of ARFURIMA-APARCH Model and Big Data Analytics","authors":"S. A. Jibrin, Hassan Imafidor Ibrahim","doi":"10.56471/slujst.v4i.264","DOIUrl":"https://doi.org/10.56471/slujst.v4i.264","url":null,"abstract":"This paper introduces the R package arfurimaaparch version 0.1.0 for time series computations, big data analytics and estimation of Autoregressive Fractional Unit Root Integral Moving Average-Asymmetric Power Autoregressive Conditional Heteroscedasticity (ARFURIMA-APARCH) model. The fdr, arfurimaaparch, arfurimaaparchforecast, arfurimaaparchdiagnostic and arfurimaaparch.sim are the main functions of the package. An improved version of the arfurima package version 1.1.0 of Jibrin and Rahman (2019) for implementing Monte Carlo simulation is also presented. Daily Nigeria all share index and West Texas Intermediate (WTI) crude oil prices for the period 26th January 2004 to 31st December 2018 were used to explained the usage of the packages. When the arfurimaaparch package is compared with other long memory packages, It would produce better stationary process after transformation, appropriate fractional differencing values in the interval of , minimum Akaike Information Criteria values, larger log-likelihood values, minimum p-values of the ARFURIMA-APARCH parameters estimates and large p-values of the Ljung-Box, ARCH-LM and Jarque-Bera test. Findings show that both R packages and their functions are robust, simple and user-friendly. As conclusion, the R packages are suitable, good and reliable for time series analysis computations, statistical analysis and big data analytics.","PeriodicalId":299818,"journal":{"name":"SLU Journal of Science and Technology","volume":"42 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2022-08-20","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"116710358","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
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