Pub Date : 2024-03-01DOI: 10.33003/fjs-2024-0801-2158
P. U. Adah, A. A. Nuhu, A. A. Salawu, A. B. Hassan, P. Ubi
The Periwinkle shell (Tympanotonus fuscatus) is one of the most abundant wastes in the Calabar coastal region of Nigeria and needs to be put into proper use. The great need to shift attention towards waste materials with good mechanical properties to replace some materials used in the Automobile industries for Automobile products is paramount. This research focused on the Mechanical characterization of several composites developed from Periwinkle Shell Powder (PSP) as filler and four selected polymeric materials as the matrix. Recycled high-density polyethylene (rHDPE), Recycled linear low-density polyethylene (rLLDPE), Recycled polystyrene (rPP) and recycled polystyrene (rPS) from waste dumps were selected as the Matrix for the composites. The crushed periwinkle shell (CPSP) was subjected to a calcination (ashing) process. Ashed Periwinkle Shell Powder (APSP) was used to reinforce the rHDPE, rLLDPE, rPP and rPS at 0 to 40% filler loading. Mechanical tests carried out resulted in the 30%PSP and 70%PP composite having better tensile and flexural strengths, good flexural modulus, hardness, impact and moisture absorption results. Results obtained from the mechanical tests were comparable with values obtained from a tested existing vehicle bumper. The APSP-filled recycled polymer composites can serve as a suitable green alternative to existing vehicle bumpers.
{"title":"CHARACTERIZATION OF PERIWINKLE SHELL ASH REINFORCED POLYMER COMPOSITE FOR AUTOMOTIVE APPLICATION","authors":"P. U. Adah, A. A. Nuhu, A. A. Salawu, A. B. Hassan, P. Ubi","doi":"10.33003/fjs-2024-0801-2158","DOIUrl":"https://doi.org/10.33003/fjs-2024-0801-2158","url":null,"abstract":"The Periwinkle shell (Tympanotonus fuscatus) is one of the most abundant wastes in the Calabar coastal region of Nigeria and needs to be put into proper use. The great need to shift attention towards waste materials with good mechanical properties to replace some materials used in the Automobile industries for Automobile products is paramount. This research focused on the Mechanical characterization of several composites developed from Periwinkle Shell Powder (PSP) as filler and four selected polymeric materials as the matrix. Recycled high-density polyethylene (rHDPE), Recycled linear low-density polyethylene (rLLDPE), Recycled polystyrene (rPP) and recycled polystyrene (rPS) from waste dumps were selected as the Matrix for the composites. The crushed periwinkle shell (CPSP) was subjected to a calcination (ashing) process. Ashed Periwinkle Shell Powder (APSP) was used to reinforce the rHDPE, rLLDPE, rPP and rPS at 0 to 40% filler loading. Mechanical tests carried out resulted in the 30%PSP and 70%PP composite having better tensile and flexural strengths, good flexural modulus, hardness, impact and moisture absorption results. Results obtained from the mechanical tests were comparable with values obtained from a tested existing vehicle bumper. The APSP-filled recycled polymer composites can serve as a suitable green alternative to existing vehicle bumpers.","PeriodicalId":282447,"journal":{"name":"FUDMA JOURNAL OF SCIENCES","volume":"251 ","pages":""},"PeriodicalIF":0.0,"publicationDate":"2024-03-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"140282052","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}
Pub Date : 2024-03-01DOI: 10.33003/fjs-2024-0801-2220
N. Shuaibu, G. N. Obunadike, Bashir Ahmad Jamilu
Agriculture is paramount to global food security, and predicting crop yields is crucial for policy and planning. However, predicting these yields is challenging due to the myriad of influencing factors, from soil quality to climate conditions. While traditional methods relied on historical data and farmer experience, recent advancements have witnessed a shift towards machine learning (ML) for improved accuracy. This study explored the application of machine learning (ML) techniques in predicting crop yields using data from Nigeria. Previous efforts lacked transferability across crops and localities; this research aimed to devise modular and reusable workflows. Using data from the Agricultural Performance Survey of Nigeria, this study evaluated the performance of different machine learning algorithms, including Linear Regression, Support Vector Regressor, K-Nearest neighbor, and Decision Tree Regressor. Results revealed the Decision Tree Regressor as the superior model for crop yield prediction, achieving a prediction accuracy of 72%. The findings underscore the potential of integrating ML in agricultural planning in Nigeria where agriculture significantly impacts the economy. Further research is encouraged to refine these models for broader application across varying agroecological zones.
农业对全球粮食安全至关重要，预测作物产量对政策和规划至关重要。然而，由于影响因素众多，从土壤质量到气候条件，预测这些产量具有挑战性。传统方法依赖于历史数据和农民经验，而最近的进步见证了向机器学习（ML）的转变，以提高准确性。本研究利用尼日利亚的数据，探索了机器学习（ML）技术在预测作物产量方面的应用。以往的研究缺乏跨作物和地区的可移植性；本研究旨在设计模块化和可重复使用的工作流程。本研究利用尼日利亚农业绩效调查的数据，评估了不同机器学习算法的性能，包括线性回归、支持向量回归、K-近邻和决策树回归。结果显示，决策树回归器是作物产量预测的优越模型，预测准确率达到 72%。这些发现强调了在农业对经济有重大影响的尼日利亚将 ML 纳入农业规划的潜力。我们鼓励进一步开展研究，完善这些模型，以便在不同的农业生态区域得到更广泛的应用。
{"title":"CROP YIELD PREDICTION USING SELECTED MACHINE LEARNING ALGORITHMS","authors":"N. Shuaibu, G. N. Obunadike, Bashir Ahmad Jamilu","doi":"10.33003/fjs-2024-0801-2220","DOIUrl":"https://doi.org/10.33003/fjs-2024-0801-2220","url":null,"abstract":"Agriculture is paramount to global food security, and predicting crop yields is crucial for policy and planning. However, predicting these yields is challenging due to the myriad of influencing factors, from soil quality to climate conditions. While traditional methods relied on historical data and farmer experience, recent advancements have witnessed a shift towards machine learning (ML) for improved accuracy. This study explored the application of machine learning (ML) techniques in predicting crop yields using data from Nigeria. Previous efforts lacked transferability across crops and localities; this research aimed to devise modular and reusable workflows. Using data from the Agricultural Performance Survey of Nigeria, this study evaluated the performance of different machine learning algorithms, including Linear Regression, Support Vector Regressor, K-Nearest neighbor, and Decision Tree Regressor. Results revealed the Decision Tree Regressor as the superior model for crop yield prediction, achieving a prediction accuracy of 72%. The findings underscore the potential of integrating ML in agricultural planning in Nigeria where agriculture significantly impacts the economy. Further research is encouraged to refine these models for broader application across varying agroecological zones.","PeriodicalId":282447,"journal":{"name":"FUDMA JOURNAL OF SCIENCES","volume":"133 ","pages":""},"PeriodicalIF":0.0,"publicationDate":"2024-03-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"140278793","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}
Pub Date : 2024-03-01DOI: 10.33003/fjs-2024-0801-2253
Fehintoluwa Joy Femi-olabisi, Precious Adeola Adesoji, Anthonia O. Agboola, Odunayo Olowolehin Oladoye
Polycystic ovary syndrome (PCOS) is a complex endocrine disorder prevalent among women of reproductive age. Solanum nigrum leaf is used traditionally in the treatment of various gynecological disorders. The toxicological effects of aqueous extract of Solanum nigrum leaves (AESNL) at 200 mg/kg body weight on anastrozole-induced in polycystic ovarian syndrome was investigated in female Wistar rats. Sixteen female Wistar rats (190.56 ± 5.35g) were assigned into 4 groups (A - D) of four animals each: animals in group A received 0.5 ml of distilled water orally on daily basis for 14 days while the anastrozole-induced rats in groups B, C, and D also received orally 0.5 ml of distilled water, 7.14mg/kg of metformin (reference drug) and same volume of the extract corresponding to 200 mg/kg body weight of AESNL respectively. Parameters assayed for were liver function tests, kidney function tests and enzyme assays. The result obtained revealed that AESNL mitigated anastrozole-treatment related increases in albumin, uric acid, total protein parameters, total bilirubin, liver and serum aspartate aminotransferase, kidney alkaline phosphatase, liver gamma-glutamyl transferase activities, and aggravated the increases in urea, direct bilirubin, creatinine, liver and serum alkaline phosphatase, and serum gamma-glutamyl transferase activities. Therefore, the aqueous extract of Solanum nigrum leaves at the 200 mg/kg body weight might not be completely safe when used in the treatment of PCOS due to alterations in toxicological parameters evaluated in this study.
{"title":"SAFETY EVALUATION OF AQUEOUS EXTRACT OF Solanum nigrum LEAF IN ANASTROZOLE-INDUCED POLYCYSTIC OVARIAN SYNDROME IN WISTAR RATS","authors":"Fehintoluwa Joy Femi-olabisi, Precious Adeola Adesoji, Anthonia O. Agboola, Odunayo Olowolehin Oladoye","doi":"10.33003/fjs-2024-0801-2253","DOIUrl":"https://doi.org/10.33003/fjs-2024-0801-2253","url":null,"abstract":"Polycystic ovary syndrome (PCOS) is a complex endocrine disorder prevalent among women of reproductive age. Solanum nigrum leaf is used traditionally in the treatment of various gynecological disorders. The toxicological effects of aqueous extract of Solanum nigrum leaves (AESNL) at 200 mg/kg body weight on anastrozole-induced in polycystic ovarian syndrome was investigated in female Wistar rats. Sixteen female Wistar rats (190.56 ± 5.35g) were assigned into 4 groups (A - D) of four animals each: animals in group A received 0.5 ml of distilled water orally on daily basis for 14 days while the anastrozole-induced rats in groups B, C, and D also received orally 0.5 ml of distilled water, 7.14mg/kg of metformin (reference drug) and same volume of the extract corresponding to 200 mg/kg body weight of AESNL respectively. Parameters assayed for were liver function tests, kidney function tests and enzyme assays. The result obtained revealed that AESNL mitigated anastrozole-treatment related increases in albumin, uric acid, total protein parameters, total bilirubin, liver and serum aspartate aminotransferase, kidney alkaline phosphatase, liver gamma-glutamyl transferase activities, and aggravated the increases in urea, direct bilirubin, creatinine, liver and serum alkaline phosphatase, and serum gamma-glutamyl transferase activities. Therefore, the aqueous extract of Solanum nigrum leaves at the 200 mg/kg body weight might not be completely safe when used in the treatment of PCOS due to alterations in toxicological parameters evaluated in this study.","PeriodicalId":282447,"journal":{"name":"FUDMA JOURNAL OF SCIENCES","volume":"33 8","pages":""},"PeriodicalIF":0.0,"publicationDate":"2024-03-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"140268990","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}
Pub Date : 2024-02-15DOI: 10.33003/fjs-2023-0706-2215
Esosa G. Idemudia, Oluwadare O. Ojo
Growth models have been applied over time to track and forecast changes in variables such as population, body height, biomass, fungal growth, and other aspects of numerous fields of study. This research focuses on modelling the growth of Nigeria’s population from the year 1981 to 2021 and determining the best fit model to represent Nigeria’s population growth (male, female and total). Seven growth models were considered in this research which includes: the linear, the exponential (Malthusian), Logistic (Verhulst), Gompertz, Hyperbolic, Brody and the Von Bertalanffy growth models. The criteria used for comparison of best fitted model were the coefficient of determination (R2), Akaike Information Criterion (AIC), Mean Square Error (MSE), and Bayesian Information Criterion (BIC). The R2 showed that the exponential, the logistic and the Gompertz growth models were all better fits for Nigeria’s population (male, female and total) having the highest R2 (0.999). Further comparison with the MSE, AIC and BIC revealed that the exponential growth model best represented Nigeria’s population growth (male, female and total) having the least MSE, AIC and BIC. Hence the exponential growth model should be considered by researchers in Nigeria population projection.
{"title":"A COMPARATIVE ANALYSIS OF GROWTH MODELS ON NIGERIA POPULATION","authors":"Esosa G. Idemudia, Oluwadare O. Ojo","doi":"10.33003/fjs-2023-0706-2215","DOIUrl":"https://doi.org/10.33003/fjs-2023-0706-2215","url":null,"abstract":"Growth models have been applied over time to track and forecast changes in variables such as population, body height, biomass, fungal growth, and other aspects of numerous fields of study. This research focuses on modelling the growth of Nigeria’s population from the year 1981 to 2021 and determining the best fit model to represent Nigeria’s population growth (male, female and total). Seven growth models were considered in this research which includes: the linear, the exponential (Malthusian), Logistic (Verhulst), Gompertz, Hyperbolic, Brody and the Von Bertalanffy growth models. The criteria used for comparison of best fitted model were the coefficient of determination (R2), Akaike Information Criterion (AIC), Mean Square Error (MSE), and Bayesian Information Criterion (BIC). The R2 showed that the exponential, the logistic and the Gompertz growth models were all better fits for Nigeria’s population (male, female and total) having the highest R2 (0.999). Further comparison with the MSE, AIC and BIC revealed that the exponential growth model best represented Nigeria’s population growth (male, female and total) having the least MSE, AIC and BIC. Hence the exponential growth model should be considered by researchers in Nigeria population projection.","PeriodicalId":282447,"journal":{"name":"FUDMA JOURNAL OF SCIENCES","volume":"10 17","pages":""},"PeriodicalIF":0.0,"publicationDate":"2024-02-15","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"139962849","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}
Pub Date : 2024-02-15DOI: 10.33003/fjs-2023-0706-2214
Bankole Samson Sesan, Isiyaku Abubakar, Nasiru B. Kadandani, Isaac B. Olalekan
This paper presents an improved grey wolf optimization algorithm (IGWOA) for optimal sizing of an isolated photovoltaic (PV), wind turbine (WT), and battery energy storage (BES) hybrid microgrid. To demonstrate the effectiveness of the proposed approach, atmospheric data sets comprising of wind, solar, and temperature of Kaduna International Airport were collected from Nigerian Meteorological Agency while the load demand data was collected from Kaduna International Airport Electricity Distribution Center. The microgrid optimal sizing was formulated as a constrained single objective optimization problem. Constraints including, loss of power supply probability (LPSP), power balance, generation limits and battery state of charge (SOC) were imposed. Three simulation scenarios were considered. Firstly, the target allowable maximum LPSP was fixed at 25% and the algorithm was able to determine the optimal sizing of the hybrid microgrid components and minimize the initial cost from 169,880.00 USD to 112,356.40 USD per annum resulting in 34% savings in cost. Secondly, the effect of the target allowable maximum LPSP variation was investigated, and it was found that the total installed capacity of the system decreases with increase in LPSP thereby decreasing the total cost. Additionally, a novel electricity price index (EPI) was introduced in order to quantify the degree of optimality of the solution. The EPI was found to increase exponentially with increase in LPSP, resulting in an EPI of < 0.05USD/kWh at 20% LPSP. Lastly, to validate the proposed approach, a comparative analysis between the IGWOA and other algorithms was carried out, and the proposed IGWOA proved applicable.
{"title":"OPTIMAL SIZING OF SOLAR-WIND HYBRID MICROGRID USING IMPROVED GREY WOLF OPTIMIZATION ALGORITHM A CASE STUDY OF KADUNA - NIGERIA","authors":"Bankole Samson Sesan, Isiyaku Abubakar, Nasiru B. Kadandani, Isaac B. Olalekan","doi":"10.33003/fjs-2023-0706-2214","DOIUrl":"https://doi.org/10.33003/fjs-2023-0706-2214","url":null,"abstract":"This paper presents an improved grey wolf optimization algorithm (IGWOA) for optimal sizing of an isolated photovoltaic (PV), wind turbine (WT), and battery energy storage (BES) hybrid microgrid. To demonstrate the effectiveness of the proposed approach, atmospheric data sets comprising of wind, solar, and temperature of Kaduna International Airport were collected from Nigerian Meteorological Agency while the load demand data was collected from Kaduna International Airport Electricity Distribution Center. The microgrid optimal sizing was formulated as a constrained single objective optimization problem. Constraints including, loss of power supply probability (LPSP), power balance, generation limits and battery state of charge (SOC) were imposed. Three simulation scenarios were considered. Firstly, the target allowable maximum LPSP was fixed at 25% and the algorithm was able to determine the optimal sizing of the hybrid microgrid components and minimize the initial cost from 169,880.00 USD to 112,356.40 USD per annum resulting in 34% savings in cost. Secondly, the effect of the target allowable maximum LPSP variation was investigated, and it was found that the total installed capacity of the system decreases with increase in LPSP thereby decreasing the total cost. Additionally, a novel electricity price index (EPI) was introduced in order to quantify the degree of optimality of the solution. The EPI was found to increase exponentially with increase in LPSP, resulting in an EPI of < 0.05USD/kWh at 20% LPSP. Lastly, to validate the proposed approach, a comparative analysis between the IGWOA and other algorithms was carried out, and the proposed IGWOA proved applicable.","PeriodicalId":282447,"journal":{"name":"FUDMA JOURNAL OF SCIENCES","volume":"16 16","pages":""},"PeriodicalIF":0.0,"publicationDate":"2024-02-15","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"139962904","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}
Pub Date : 2024-02-13DOI: 10.33003/fjs-2023-0706-2080
Ilyasu Salim, G. M. Khalid, Abubakar Sadiq Wada, Suleiman Danladi, Fatima Shuaibu Kurfi, Umar Abdurrahman Yola
The aim of this pre-formulation study was to adopt simple linear regression modelling and correlation statistics to understand the associations between pharmacopoeial powder test methods using datasets generated from five commercial brands of directly compressible excipients with a specific focus to inferential implications in formulation design. Powder characterization was conducted using protocols defined in Chapter <1174> and <616> of the United States Pharmacopoeia (USP41-NF36). The study adopted a linear regression modelling analytics and correlation statistics using the fitting algorithm of OriginPro® (OriginPro, Version 2021b, OriginLab Corporation, Northampton, MA, USA). In the results, the modulus of Pearson’s product moment correlation coefficient was used to measure the strength of the linear association between test variables and a correlation matrix generated. Strong positive correlation modulus of Hausner’s Ratio (HR) with Carr’s index (r=+0.999) and static angle of repose (r=+0.932) were evident. Bulk density strongly correlates with tap density in the positive direction (r=+0.911). Tap density also shows a slight negative correlation with HR (r=-0.230), Carr’s index (r=-0.228), and static angle of repose (r==-0.421), while Carr’s index strongly correlated with static angle of repose (r=+0.933). In conclusion, modelling bivariate powder flow datasets has provided a powerful but simplistic statistical relationship for characterizing the modulus of association between HR, Carr’s index, and static angle of repose of the model excipients useful in preformulation design of pharmaceutical formulations.
{"title":"CRITICAL ANALYSIS OF POWDER FLOW BEHAVIOUR OF DIRECTLY COMPRESSIBLE COPROCESSED EXCIPIENTS","authors":"Ilyasu Salim, G. M. Khalid, Abubakar Sadiq Wada, Suleiman Danladi, Fatima Shuaibu Kurfi, Umar Abdurrahman Yola","doi":"10.33003/fjs-2023-0706-2080","DOIUrl":"https://doi.org/10.33003/fjs-2023-0706-2080","url":null,"abstract":"The aim of this pre-formulation study was to adopt simple linear regression modelling and correlation statistics to understand the associations between pharmacopoeial powder test methods using datasets generated from five commercial brands of directly compressible excipients with a specific focus to inferential implications in formulation design. Powder characterization was conducted using protocols defined in Chapter <1174> and <616> of the United States Pharmacopoeia (USP41-NF36). The study adopted a linear regression modelling analytics and correlation statistics using the fitting algorithm of OriginPro® (OriginPro, Version 2021b, OriginLab Corporation, Northampton, MA, USA). In the results, the modulus of Pearson’s product moment correlation coefficient was used to measure the strength of the linear association between test variables and a correlation matrix generated. Strong positive correlation modulus of Hausner’s Ratio (HR) with Carr’s index (r=+0.999) and static angle of repose (r=+0.932) were evident. Bulk density strongly correlates with tap density in the positive direction (r=+0.911). Tap density also shows a slight negative correlation with HR (r=-0.230), Carr’s index (r=-0.228), and static angle of repose (r==-0.421), while Carr’s index strongly correlated with static angle of repose (r=+0.933). In conclusion, modelling bivariate powder flow datasets has provided a powerful but simplistic statistical relationship for characterizing the modulus of association between HR, Carr’s index, and static angle of repose of the model excipients useful in preformulation design of pharmaceutical formulations.","PeriodicalId":282447,"journal":{"name":"FUDMA JOURNAL OF SCIENCES","volume":"115 ","pages":""},"PeriodicalIF":0.0,"publicationDate":"2024-02-13","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"139839312","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}
Pub Date : 2024-02-13DOI: 10.33003/fjs-2023-0706-2213
Isiyaku Abubakar, Isaac B. Olaleke, Nasiru B. Kadandani
The small power generation using exercise bicycle is one of the current areas patronized by researchers. This is due to the two major benefits obtainable from the exercise machine, the benefit of exercising one’s body and the utilization of electrical power generated. Wind turbine regulator is specifically designed to regulate the output voltage of a wind turbine generator, which is characterized by varying speed and hence varying output power. The exercise bicycle driven alternator has a similarity with wind turbine generator in terms of variable speed, especially when ridden by different personalities. This paper demonstrates how small power can be generated using exercise bicycle. Further, the paper analyzes the performance of the by regulating its output using small wind turbine regulator. The result shows that, a regulated output within the range of 12V is obtained for all the tested loads, which makes the system more compatible with all types of 12V DC loads. Also the excitation voltage of the machine is improved from 4.5V (1.22A) using the diodes rectifier to 2.5V (0.81A) when the wind turbine regulator is used. With the improved power generation in this work the exercise bicycle will be a better alternative source for small power generation which can be used in DC lightings, DC fans, charging batteries and laboratory experiments.
{"title":"EXPERIMENTAL DEMONSTRATION OF ELECTRICAL POWER GENERATION USING STATIONARY EXERCISE BICYCLE COUPLED WITH WIND TURBINE REGULATOR","authors":"Isiyaku Abubakar, Isaac B. Olaleke, Nasiru B. Kadandani","doi":"10.33003/fjs-2023-0706-2213","DOIUrl":"https://doi.org/10.33003/fjs-2023-0706-2213","url":null,"abstract":"The small power generation using exercise bicycle is one of the current areas patronized by researchers. This is due to the two major benefits obtainable from the exercise machine, the benefit of exercising one’s body and the utilization of electrical power generated. Wind turbine regulator is specifically designed to regulate the output voltage of a wind turbine generator, which is characterized by varying speed and hence varying output power. The exercise bicycle driven alternator has a similarity with wind turbine generator in terms of variable speed, especially when ridden by different personalities. This paper demonstrates how small power can be generated using exercise bicycle. Further, the paper analyzes the performance of the by regulating its output using small wind turbine regulator. The result shows that, a regulated output within the range of 12V is obtained for all the tested loads, which makes the system more compatible with all types of 12V DC loads. Also the excitation voltage of the machine is improved from 4.5V (1.22A) using the diodes rectifier to 2.5V (0.81A) when the wind turbine regulator is used. With the improved power generation in this work the exercise bicycle will be a better alternative source for small power generation which can be used in DC lightings, DC fans, charging batteries and laboratory experiments.","PeriodicalId":282447,"journal":{"name":"FUDMA JOURNAL OF SCIENCES","volume":"308 ","pages":""},"PeriodicalIF":0.0,"publicationDate":"2024-02-13","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"139841819","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}
Pub Date : 2024-02-13DOI: 10.33003/fjs-2023-0706-2080
Ilyasu Salim, G. M. Khalid, Abubakar Sadiq Wada, Suleiman Danladi, Fatima Shuaibu Kurfi, Umar Abdurrahman Yola
The aim of this pre-formulation study was to adopt simple linear regression modelling and correlation statistics to understand the associations between pharmacopoeial powder test methods using datasets generated from five commercial brands of directly compressible excipients with a specific focus to inferential implications in formulation design. Powder characterization was conducted using protocols defined in Chapter <1174> and <616> of the United States Pharmacopoeia (USP41-NF36). The study adopted a linear regression modelling analytics and correlation statistics using the fitting algorithm of OriginPro® (OriginPro, Version 2021b, OriginLab Corporation, Northampton, MA, USA). In the results, the modulus of Pearson’s product moment correlation coefficient was used to measure the strength of the linear association between test variables and a correlation matrix generated. Strong positive correlation modulus of Hausner’s Ratio (HR) with Carr’s index (r=+0.999) and static angle of repose (r=+0.932) were evident. Bulk density strongly correlates with tap density in the positive direction (r=+0.911). Tap density also shows a slight negative correlation with HR (r=-0.230), Carr’s index (r=-0.228), and static angle of repose (r==-0.421), while Carr’s index strongly correlated with static angle of repose (r=+0.933). In conclusion, modelling bivariate powder flow datasets has provided a powerful but simplistic statistical relationship for characterizing the modulus of association between HR, Carr’s index, and static angle of repose of the model excipients useful in preformulation design of pharmaceutical formulations.
{"title":"CRITICAL ANALYSIS OF POWDER FLOW BEHAVIOUR OF DIRECTLY COMPRESSIBLE COPROCESSED EXCIPIENTS","authors":"Ilyasu Salim, G. M. Khalid, Abubakar Sadiq Wada, Suleiman Danladi, Fatima Shuaibu Kurfi, Umar Abdurrahman Yola","doi":"10.33003/fjs-2023-0706-2080","DOIUrl":"https://doi.org/10.33003/fjs-2023-0706-2080","url":null,"abstract":"The aim of this pre-formulation study was to adopt simple linear regression modelling and correlation statistics to understand the associations between pharmacopoeial powder test methods using datasets generated from five commercial brands of directly compressible excipients with a specific focus to inferential implications in formulation design. Powder characterization was conducted using protocols defined in Chapter <1174> and <616> of the United States Pharmacopoeia (USP41-NF36). The study adopted a linear regression modelling analytics and correlation statistics using the fitting algorithm of OriginPro® (OriginPro, Version 2021b, OriginLab Corporation, Northampton, MA, USA). In the results, the modulus of Pearson’s product moment correlation coefficient was used to measure the strength of the linear association between test variables and a correlation matrix generated. Strong positive correlation modulus of Hausner’s Ratio (HR) with Carr’s index (r=+0.999) and static angle of repose (r=+0.932) were evident. Bulk density strongly correlates with tap density in the positive direction (r=+0.911). Tap density also shows a slight negative correlation with HR (r=-0.230), Carr’s index (r=-0.228), and static angle of repose (r==-0.421), while Carr’s index strongly correlated with static angle of repose (r=+0.933). In conclusion, modelling bivariate powder flow datasets has provided a powerful but simplistic statistical relationship for characterizing the modulus of association between HR, Carr’s index, and static angle of repose of the model excipients useful in preformulation design of pharmaceutical formulations.","PeriodicalId":282447,"journal":{"name":"FUDMA JOURNAL OF SCIENCES","volume":"19 7","pages":""},"PeriodicalIF":0.0,"publicationDate":"2024-02-13","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"139779521","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}
Pub Date : 2024-02-13DOI: 10.33003/fjs-2023-0706-2213
Isiyaku Abubakar, Isaac B. Olaleke, Nasiru B. Kadandani
The small power generation using exercise bicycle is one of the current areas patronized by researchers. This is due to the two major benefits obtainable from the exercise machine, the benefit of exercising one’s body and the utilization of electrical power generated. Wind turbine regulator is specifically designed to regulate the output voltage of a wind turbine generator, which is characterized by varying speed and hence varying output power. The exercise bicycle driven alternator has a similarity with wind turbine generator in terms of variable speed, especially when ridden by different personalities. This paper demonstrates how small power can be generated using exercise bicycle. Further, the paper analyzes the performance of the by regulating its output using small wind turbine regulator. The result shows that, a regulated output within the range of 12V is obtained for all the tested loads, which makes the system more compatible with all types of 12V DC loads. Also the excitation voltage of the machine is improved from 4.5V (1.22A) using the diodes rectifier to 2.5V (0.81A) when the wind turbine regulator is used. With the improved power generation in this work the exercise bicycle will be a better alternative source for small power generation which can be used in DC lightings, DC fans, charging batteries and laboratory experiments.
{"title":"EXPERIMENTAL DEMONSTRATION OF ELECTRICAL POWER GENERATION USING STATIONARY EXERCISE BICYCLE COUPLED WITH WIND TURBINE REGULATOR","authors":"Isiyaku Abubakar, Isaac B. Olaleke, Nasiru B. Kadandani","doi":"10.33003/fjs-2023-0706-2213","DOIUrl":"https://doi.org/10.33003/fjs-2023-0706-2213","url":null,"abstract":"The small power generation using exercise bicycle is one of the current areas patronized by researchers. This is due to the two major benefits obtainable from the exercise machine, the benefit of exercising one’s body and the utilization of electrical power generated. Wind turbine regulator is specifically designed to regulate the output voltage of a wind turbine generator, which is characterized by varying speed and hence varying output power. The exercise bicycle driven alternator has a similarity with wind turbine generator in terms of variable speed, especially when ridden by different personalities. This paper demonstrates how small power can be generated using exercise bicycle. Further, the paper analyzes the performance of the by regulating its output using small wind turbine regulator. The result shows that, a regulated output within the range of 12V is obtained for all the tested loads, which makes the system more compatible with all types of 12V DC loads. Also the excitation voltage of the machine is improved from 4.5V (1.22A) using the diodes rectifier to 2.5V (0.81A) when the wind turbine regulator is used. With the improved power generation in this work the exercise bicycle will be a better alternative source for small power generation which can be used in DC lightings, DC fans, charging batteries and laboratory experiments.","PeriodicalId":282447,"journal":{"name":"FUDMA JOURNAL OF SCIENCES","volume":"36 19","pages":""},"PeriodicalIF":0.0,"publicationDate":"2024-02-13","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"139781843","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}
Pub Date : 2024-02-08DOI: 10.33003/fjs-2023-0706-1800
Hambali Idris Umar, B. Inuwa, Ibrahim Alamini, Abdullahi Adamu, Shittu Ismaila, C. Meseko, I. Rwego
The domestic ducks (Anas platyrhynchos domesticus) are natural reservoir hosts of avian influenza A virus (AIV) and have since remained significant in the ecology and epidemiology of the virus globally. Continued local surveillance for AIV in this specie is critical to assessing the risks of potential spreading to domestic poultry, other animal species, and zoonotic transmission to humans. In this study, we investigate the status of AIV in domestic waterfowls in Maiduguri metropolis. Twenty-eight cloacal and oropharyngeal swab samples were collected from apparently healthy domestic ducks from November to December 2021 in Bulumkutu (n=2), Giwa Barracks (n=5), Kasuwan Shanu (n=4), Maimalari Barracks (n=5), Mairi (n=5), Premier (n=2) and Shehuri (n=4). Samples were screened for AIV using the real-time RT-PCR molecular assay. A total prevalence of 60.7% (CI: 41.99 –77.32) was recorded. Prevalence based on locations was higher in Bulumkutu 100% (CI:22.36 - 100), Kasuwan Shanu 100% (CI: 22.36 - 100), and Shehuri 100% (CI:47.29 - 100). In Maimalari Barracks and Mairi, prevalence of 60% (18.24 – 92.65) each was recorded respectively. While samples from Giwa Barracks and Gomari had a prevalence of 40% (CI: 7.346 – 81.76) and 33.3% (1.667 – 86.8). AIV was not detected in samples from premier (0%). The result of this study revealed the status of AIV in domestic ducks in Maiduguri metropolis. Thus, this early warning call the need for AIV prevention and control in the region and using the one-health approach to access the zoonotic potential of the virus in the domestic ducks...
{"title":"AVIAN INFLUENZA A VIRUS SURVEILLANCE IN RESERVOIR DOMESTIC DUCKS (Anas platyrhynchos domesticus) IN MAIDUGURI METROPOLITAN COMMUNITY OF NORTH-EASTERN NIGERIA: A NEED FOR ONE-HEALTH APPROACH","authors":"Hambali Idris Umar, B. Inuwa, Ibrahim Alamini, Abdullahi Adamu, Shittu Ismaila, C. Meseko, I. Rwego","doi":"10.33003/fjs-2023-0706-1800","DOIUrl":"https://doi.org/10.33003/fjs-2023-0706-1800","url":null,"abstract":"The domestic ducks (Anas platyrhynchos domesticus) are natural reservoir hosts of avian influenza A virus (AIV) and have since remained significant in the ecology and epidemiology of the virus globally. Continued local surveillance for AIV in this specie is critical to assessing the risks of potential spreading to domestic poultry, other animal species, and zoonotic transmission to humans. In this study, we investigate the status of AIV in domestic waterfowls in Maiduguri metropolis. Twenty-eight cloacal and oropharyngeal swab samples were collected from apparently healthy domestic ducks from November to December 2021 in Bulumkutu (n=2), Giwa Barracks (n=5), Kasuwan Shanu (n=4), Maimalari Barracks (n=5), Mairi (n=5), Premier (n=2) and Shehuri (n=4). Samples were screened for AIV using the real-time RT-PCR molecular assay. A total prevalence of 60.7% (CI: 41.99 –77.32) was recorded. Prevalence based on locations was higher in Bulumkutu 100% (CI:22.36 - 100), Kasuwan Shanu 100% (CI: 22.36 - 100), and Shehuri 100% (CI:47.29 - 100). In Maimalari Barracks and Mairi, prevalence of 60% (18.24 – 92.65) each was recorded respectively. While samples from Giwa Barracks and Gomari had a prevalence of 40% (CI: 7.346 – 81.76) and 33.3% (1.667 – 86.8). AIV was not detected in samples from premier (0%). The result of this study revealed the status of AIV in domestic ducks in Maiduguri metropolis. Thus, this early warning call the need for AIV prevention and control in the region and using the one-health approach to access the zoonotic potential of the virus in the domestic ducks...","PeriodicalId":282447,"journal":{"name":"FUDMA JOURNAL OF SCIENCES","volume":" 43","pages":""},"PeriodicalIF":0.0,"publicationDate":"2024-02-08","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"139792119","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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