The participatory process is very important for community development. The participants expressed the social awareness and empowerment of villagers in solving the community problems and devote for the benefits of their communities. In this research, it applied the participatory process by using rural constitutional development. The article showed the case study of two communities (Praichumpol and Bang Dong) in Phitsanulok province, the lower Northern part of Thailand. It focuses on the process of rural constitutional development from a formation of the rural constitution to the adoption of the rural constitution. The research results found that the rural constitution begins from the process of cooperation among local and community leaders, academicians, local organizations, civil society, and the community. Then, it is organizing a meeting for sharing and proposing ways to solve the communities’ problems. After that the public hearing process organized for drafting and revising the rural constitution of the community, before they adopted the rural constitution together. Therefore, the rural constitutional development contributed to the participatory process of community which is the foundation of community-based participatory democracy. The major factor of participation comes from social awareness in the community issues, cooperation among local and community leaders, and civil society, academicians and local organizations. The rural constitution reflected the aspires and demands of villagers in health, economic, environment, and social development.
{"title":"The Development of Participatory Process of Praichumpol and Bandong Communities, Phitsanulok Province, Thailand","authors":"Thannapat Jarenpanit","doi":"10.31580/ojst.v3i2.1467","DOIUrl":"https://doi.org/10.31580/ojst.v3i2.1467","url":null,"abstract":"The participatory process is very important for community development. The participants expressed the social awareness and empowerment of villagers in solving the community problems and devote for the benefits of their communities. In this research, it applied the participatory process by using rural constitutional development. The article showed the case study of two communities (Praichumpol and Bang Dong) in Phitsanulok province, the lower Northern part of Thailand. It focuses on the process of rural constitutional development from a formation of the rural constitution to the adoption of the rural constitution. The research results found that the rural constitution begins from the process of cooperation among local and community leaders, academicians, local organizations, civil society, and the community. Then, it is organizing a meeting for sharing and proposing ways to solve the communities’ problems. After that the public hearing process organized for drafting and revising the rural constitution of the community, before they adopted the rural constitution together. Therefore, the rural constitutional development contributed to the participatory process of community which is the foundation of community-based participatory democracy. The major factor of participation comes from social awareness in the community issues, cooperation among local and community leaders, and civil society, academicians and local organizations. The rural constitution reflected the aspires and demands of villagers in health, economic, environment, and social development.","PeriodicalId":19674,"journal":{"name":"Open Access Journal of Science and Technology","volume":"28 1","pages":""},"PeriodicalIF":0.0,"publicationDate":"2020-08-05","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"86641545","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}
Jamilu Usman, Mohd Hafiz Dzarfan Othman, Ahmad Fauzi Ismail, Yusuf Olabode Raji, Tijjani Hassan El-Badawy, Tijjani Abdullahi, Jamila Baba Ali
A silane coupling agent is an organosilicon compound with special structure possessing organic functional groups and hydrolysable groups. In this study, a superhydrophobic-superoleophilic nano-silica film on ceramic membrane was constructed by a modified Stöber technique by using tetraethoxy-silane (TEOS) and fluoroalkyl silane (FAS). The colloidal nano-silica based silane sol coating solution was synthesized via co-hydrolysis and co-condensation of TEOS and FAS. Particle size distribution of the colloidal nano-silica based silane sol was evaluated using particle size analyzer as depicted. The contents of the relative elements of the colloidal nano-silica based silane sol were examined using energy dispersive x-ray (EDX) spectra. Extent of superhydrophobicity-superoleophilicity was determined using the contact angle measurements. The surface wettability of superhydrophobicity-superoleophilicity was determined using the contact angle measurements. Also, the effects of grafting times and coating cycles on the wettability of the modified kaolin-based hollow fiber membrane were determined. The results revealed that the modified kaolin-based hollow fiber membrane exhibited oil contact of 0o and water contact angle of 160o and, demonstrating its considerable antiwetting applications like in oil-water filtration process. While, with an increase in grafting times and coating cycles, the wettability of the superhydrophobic-superoleophilic nano-silica film was enhanced due to increase in surface roughness provided by the hydrolysable groups on the surface of the ceramic membrane. In conclusion, this study presents a feasible route to the surface superhydrophobicity-superoleophilicity testing of ceramic membranes
{"title":"Facile Approach in Development of Superhydrophobic-Superoleophilic Kaolin-Based Hollow Fibre Ceramic Membrane","authors":"Jamilu Usman, Mohd Hafiz Dzarfan Othman, Ahmad Fauzi Ismail, Yusuf Olabode Raji, Tijjani Hassan El-Badawy, Tijjani Abdullahi, Jamila Baba Ali","doi":"10.31580/ojst.v3i2.1473","DOIUrl":"https://doi.org/10.31580/ojst.v3i2.1473","url":null,"abstract":"A silane coupling agent is an organosilicon compound with special structure possessing organic functional groups and hydrolysable groups. In this study, a superhydrophobic-superoleophilic nano-silica film on ceramic membrane was constructed by a modified Stöber technique by using tetraethoxy-silane (TEOS) and fluoroalkyl silane (FAS). The colloidal nano-silica based silane sol coating solution was synthesized via co-hydrolysis and co-condensation of TEOS and FAS. Particle size distribution of the colloidal nano-silica based silane sol was evaluated using particle size analyzer as depicted. The contents of the relative elements of the colloidal nano-silica based silane sol were examined using energy dispersive x-ray (EDX) spectra. Extent of superhydrophobicity-superoleophilicity was determined using the contact angle measurements. The surface wettability of superhydrophobicity-superoleophilicity was determined using the contact angle measurements. Also, the effects of grafting times and coating cycles on the wettability of the modified kaolin-based hollow fiber membrane were determined. The results revealed that the modified kaolin-based hollow fiber membrane exhibited oil contact of 0o and water contact angle of 160o and, demonstrating its considerable antiwetting applications like in oil-water filtration process. While, with an increase in grafting times and coating cycles, the wettability of the superhydrophobic-superoleophilic nano-silica film was enhanced due to increase in surface roughness provided by the hydrolysable groups on the surface of the ceramic membrane. In conclusion, this study presents a feasible route to the surface superhydrophobicity-superoleophilicity testing of ceramic membranes","PeriodicalId":19674,"journal":{"name":"Open Access Journal of Science and Technology","volume":"35 1","pages":""},"PeriodicalIF":0.0,"publicationDate":"2020-08-05","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"75378280","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}
Ibrahim Mohammed Danmalam, I. Bulus, S. K. Ghoshal, R. Ariffin
Magnesium-zinc-sulfophosphate glasses with various concentration of Silver nanoparticles (AgNPs) compose of 63.5P2O5–20MgO –15ZnSO4–1.5Eu2O3 –yAgNps (y = 0.0, 0.1, 0.3, 0.5, 0.7,0.9 and 1.1 g in excess) were prepared via melt-quenching method. As-Quenched glasses were then characterized to establish the relationship between optical and mechanical characteristics. Densities were found to increase from 3.0720 to 4.3304 g.cm-3 with increase in AgNPs embedding levels, suggesting the network shrinkages and enhanced compactness. The Young’s, shear and bulk modulus of glasses were observed to enhance with the increase in AgNPs contents. The Poisson’s ratio value increased from (0.0978 to 0.1416) while values of both Vickers hardness (from 0.0658 to 0. 0.0682 GPa) as well as (from 0.8350 to 0.8916) were increased. This necessitate the evaluation of ultrasonic properties and mechanical properties of the synthesized glasses and further analysed by various analytical tools. The studied glass may be useful for the development of hard surface engineering.
{"title":"Correlation of Optical and Mechanical Properties of Silver Nanoparticles Sensitized Europium Doped Phosphate Glasses","authors":"Ibrahim Mohammed Danmalam, I. Bulus, S. K. Ghoshal, R. Ariffin","doi":"10.31580/OJST.V3I2.1472","DOIUrl":"https://doi.org/10.31580/OJST.V3I2.1472","url":null,"abstract":"Magnesium-zinc-sulfophosphate glasses with various concentration of Silver nanoparticles (AgNPs) compose of 63.5P2O5–20MgO –15ZnSO4–1.5Eu2O3 –yAgNps (y = 0.0, 0.1, 0.3, 0.5, 0.7,0.9 and 1.1 g in excess) were prepared via melt-quenching method. As-Quenched glasses were then characterized to establish the relationship between optical and mechanical characteristics. Densities were found to increase from 3.0720 to 4.3304 g.cm-3 with increase in AgNPs embedding levels, suggesting the network shrinkages and enhanced compactness. The Young’s, shear and bulk modulus of glasses were observed to enhance with the increase in AgNPs contents. The Poisson’s ratio value increased from (0.0978 to 0.1416) while values of both Vickers hardness (from 0.0658 to 0. 0.0682 GPa) as well as (from 0.8350 to 0.8916) were increased. This necessitate the evaluation of ultrasonic properties and mechanical properties of the synthesized glasses and further analysed by various analytical tools. The studied glass may be useful for the development of hard surface engineering.","PeriodicalId":19674,"journal":{"name":"Open Access Journal of Science and Technology","volume":"9 1","pages":""},"PeriodicalIF":0.0,"publicationDate":"2020-08-04","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"73642506","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}
Ujala Razaq, Muhammad Muneeb Ullah, Muhammad Usman
This study focuses on the area of visual indoor place recognition (e.g., in an office setting, automatically recognizing different places, such as offices, corridor, wash room, etc.). The potential applications include robot navigation, augmented reality, and image retrieval. However, the task is extremely demanding because of the variations in appearance in such dynamic setups (e.g., view-point, occlusion, illumination, scale, etc.). Recently, Convolutional Neural Network (CNN) has emerged as a powerful learning mechanism, able to learn deep higher-level features when provided with a comparatively big quantity of labeled training data. Here, we exploit the generic nature of CNN features for robust visual place recognition in the challenging COLD dataset. So, we employ the pre-trained CNNs (on the related tasks of object and scene classification) for deep feature extraction in the COLD images. We demonstrate that these off-the-shelf features, when combined with a simple linear SVM classifier, outperform their bag-of-features counterpart. Moreover, a simple combination scheme, combining the local bag-of-features and higher-level deep CNN features, produce outstanding results on the COLD dataset.
{"title":"Local and Deep Features for Robust Visual Indoor Place Recognition","authors":"Ujala Razaq, Muhammad Muneeb Ullah, Muhammad Usman","doi":"10.31580/ojst.v3i2.1475","DOIUrl":"https://doi.org/10.31580/ojst.v3i2.1475","url":null,"abstract":"This study focuses on the area of visual indoor place recognition (e.g., in an office setting, automatically recognizing different places, such as offices, corridor, wash room, etc.). The potential applications include robot navigation, augmented reality, and image retrieval. However, the task is extremely demanding because of the variations in appearance in such dynamic setups (e.g., view-point, occlusion, illumination, scale, etc.). Recently, Convolutional Neural Network (CNN) has emerged as a powerful learning mechanism, able to learn deep higher-level features when provided with a comparatively big quantity of labeled training data. Here, we exploit the generic nature of CNN features for robust visual place recognition in the challenging COLD dataset. So, we employ the pre-trained CNNs (on the related tasks of object and scene classification) for deep feature extraction in the COLD images. We demonstrate that these off-the-shelf features, when combined with a simple linear SVM classifier, outperform their bag-of-features counterpart. Moreover, a simple combination scheme, combining the local bag-of-features and higher-level deep CNN features, produce outstanding results on the COLD dataset.","PeriodicalId":19674,"journal":{"name":"Open Access Journal of Science and Technology","volume":"8 1","pages":""},"PeriodicalIF":0.0,"publicationDate":"2020-08-04","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"79807065","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}
Koo Kwong Ze, Fares Hasan, R. Razali, A. Buhari, Elisha Tadiwa
PageRank is an algorithm concerning search queries over the Internet. The algorithm returns the best search results to the user based on the webpage relevancy by calculating the outgoing links from each webpage. Although useful, the algorithm consumes a considerable amount of time as it needs to calculate the available webpages, which are also increasing in number over time. Moreover, the returned results by the algorithm are biased towards old webpages because they have the volume due to their lifetime, thus resulting in newly created webpages to have lower page ranks even though they have comparatively more relevant and useful information. To overcome these issues, this paper proposes an alternative hybrid PageRank algorithm based on optimized normalization technique and content-based approach. The proposed algorithm reduces the number of iterations required to calculate the page rank, hence improves the efficiency, by calculating the mean of all page rank values and normalizes them through the use of the mean. Through this approach, the algorithm is also able to determine the relevancy of webpages based on validity of links rather than popularity. These claims are demonstrated by an experiment conducted on the proposed algorithm using a dummy web structure consisting of 12 webpages. The results showed that the traditional PageRank algorithm has 74% more iterations than the proposed algorithm. The proposed algorithm returned a mean value of 1.00 compared to 1.32 for the traditional algorithm. These results confirm that the proposed algorithm saves a substantial amount of computing power while being more precise and not biased.
{"title":"An Enhanced PageRank Algorithm based on Optimized Normalized Technique and Content-based Approach","authors":"Koo Kwong Ze, Fares Hasan, R. Razali, A. Buhari, Elisha Tadiwa","doi":"10.31580/OJST.V3I2.1468","DOIUrl":"https://doi.org/10.31580/OJST.V3I2.1468","url":null,"abstract":"PageRank is an algorithm concerning search queries over the Internet. The algorithm returns the best search results to the user based on the webpage relevancy by calculating the outgoing links from each webpage. Although useful, the algorithm consumes a considerable amount of time as it needs to calculate the available webpages, which are also increasing in number over time. Moreover, the returned results by the algorithm are biased towards old webpages because they have the volume due to their lifetime, thus resulting in newly created webpages to have lower page ranks even though they have comparatively more relevant and useful information. To overcome these issues, this paper proposes an alternative hybrid PageRank algorithm based on optimized normalization technique and content-based approach. The proposed algorithm reduces the number of iterations required to calculate the page rank, hence improves the efficiency, by calculating the mean of all page rank values and normalizes them through the use of the mean. Through this approach, the algorithm is also able to determine the relevancy of webpages based on validity of links rather than popularity. These claims are demonstrated by an experiment conducted on the proposed algorithm using a dummy web structure consisting of 12 webpages. The results showed that the traditional PageRank algorithm has 74% more iterations than the proposed algorithm. The proposed algorithm returned a mean value of 1.00 compared to 1.32 for the traditional algorithm. These results confirm that the proposed algorithm saves a substantial amount of computing power while being more precise and not biased.","PeriodicalId":19674,"journal":{"name":"Open Access Journal of Science and Technology","volume":"50 1","pages":""},"PeriodicalIF":0.0,"publicationDate":"2020-08-04","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"89040215","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}
S. Abdullahi, Nazir Yusuf, M. A. Zayyad, Lawal Idris Bagiwa, A. Zakari, Alhassan Adamu, Amina Nura, Saadana Shehu
Big data is a form of data with increased volume, difficult to analyze, process, and store using traditional database technologies. It has long been adopted in business and finance where a large number of bank transaction are executed daily. The emergence of big data in banking industry results to large proportion of technical improvements in the industry. However, its processing causes disruption in the banking industry. Big data analytics is the process that involves using algorithms and software tools to extract useful business information from the dataset. This study adopts big data analytics process to investigates the disruption due to big data processing in the banking industry. The study identifies, acquired, and extracted dataset of the banking industry which was analyzed using MapReduce based fraud committed due to processing of large amount of data. findings show that government employee commit more crime in comparison with the private sector employees. Finally, based on customers gender, the male employees commit most of the fraud in both government and private sector.
{"title":"The Big Data Technology: Assessing the Impact in the Banking Industry","authors":"S. Abdullahi, Nazir Yusuf, M. A. Zayyad, Lawal Idris Bagiwa, A. Zakari, Alhassan Adamu, Amina Nura, Saadana Shehu","doi":"10.31580/OJST.V3I2.1464","DOIUrl":"https://doi.org/10.31580/OJST.V3I2.1464","url":null,"abstract":"Big data is a form of data with increased volume, difficult to analyze, process, and store using traditional database technologies. It has long been adopted in business and finance where a large number of bank transaction are executed daily. The emergence of big data in banking industry results to large proportion of technical improvements in the industry. However, its processing causes disruption in the banking industry. Big data analytics is the process that involves using algorithms and software tools to extract useful business information from the dataset. This study adopts big data analytics process to investigates the disruption due to big data processing in the banking industry. The study identifies, acquired, and extracted dataset of the banking industry which was analyzed using MapReduce based fraud committed due to processing of large amount of data. findings show that government employee commit more crime in comparison with the private sector employees. Finally, based on customers gender, the male employees commit most of the fraud in both government and private sector.","PeriodicalId":19674,"journal":{"name":"Open Access Journal of Science and Technology","volume":"54 1","pages":""},"PeriodicalIF":0.0,"publicationDate":"2020-08-04","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"89951816","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}
Anis Ahmed Khan, Muhammad Umer Zaheer, Sarosh Asghar, Syed Shujaa Safdar Gardezi
The paper presents the application of an International Green rating system LEED’s in a developing country. It focuses on significant environmental, energy, and water issues faced after construction. The rating conducted was on a multifamily residential building located in Askari 14, Rawalpindi, Pakistan. The building's construction was complete; hence The LEED v4 for Building Operations and Maintenance manual was used for performing Green rating. The rating works on the bases of point allotment scheme for building’s operational and environmental features such as energy use efficiency, water use efficiency, sustainable material usage, and more. The selected structure is constructed by implementing standard building techniques to which Pakistan adheres, which never inculcate aspects of environment and energy reduction. The cumulative score of all LEED’s components after rating is 40 out of 110, which grants it the rank of certified. Where the building performs poorly can be attributed to the fact that there were no LEED’s Accredited Professionals involved in the design phase of the case study. From the results, possible solutions are discussed in the paper to integrate the concept of sustainability in constructed buildings.
{"title":"Green Rating Assessment of a Residential Building in Pakistan Using LEED’s","authors":"Anis Ahmed Khan, Muhammad Umer Zaheer, Sarosh Asghar, Syed Shujaa Safdar Gardezi","doi":"10.31580/ojst.v3i2.1474","DOIUrl":"https://doi.org/10.31580/ojst.v3i2.1474","url":null,"abstract":"The paper presents the application of an International Green rating system LEED’s in a developing country. It focuses on significant environmental, energy, and water issues faced after construction. The rating conducted was on a multifamily residential building located in Askari 14, Rawalpindi, Pakistan. The building's construction was complete; hence The LEED v4 for Building Operations and Maintenance manual was used for performing Green rating. The rating works on the bases of point allotment scheme for building’s operational and environmental features such as energy use efficiency, water use efficiency, sustainable material usage, and more. The selected structure is constructed by implementing standard building techniques to which Pakistan adheres, which never inculcate aspects of environment and energy reduction. The cumulative score of all LEED’s components after rating is 40 out of 110, which grants it the rank of certified. Where the building performs poorly can be attributed to the fact that there were no LEED’s Accredited Professionals involved in the design phase of the case study. From the results, possible solutions are discussed in the paper to integrate the concept of sustainability in constructed buildings.","PeriodicalId":19674,"journal":{"name":"Open Access Journal of Science and Technology","volume":"14 1","pages":""},"PeriodicalIF":0.0,"publicationDate":"2020-08-04","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"72709079","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}
Hussein K. Hamzah, Dan Paul Georgescu, Nur Hafizah A. Khalid, Ghasan F. Hussein
In recent days, the reduce of carbon dioxide emission, cost and energy consumption are the main concern in urban countries worldwide. Concrete is the main construction materials and the Ordinary Portland Cement (OPC)is primary binder in concrete industry. OPC industry cases many environmental problems such as carbon dioxide emission and high energy consumption. Alkali-activated paste, mortars and concrete are introduced as alternative materials to OPC in concrete production with lower energy consumption and carbon dioxide emission. In the experimental, the alkaline activator solution effects on fresh and hardened properties of binary blended alkali-activated mortars were evaluated. The wastes materials such as fly ash (FA) and ground blast furnace slag (GBFS) were incorporating with river sand to prepare the mortar specimens. To activate the blend, six dosage of alkaline activator solution were used for this purpose. The results of tested specimens shown the enhancement in flowabiliry of mortar with increasing content of alkaline solution. The highest strength was achieved with specimens’ mortar prepared with ratio 0.40 of alkaline solution to binder content at 28 days of age. For all prepared alkali-activated mortar’ specimens, a good direct relationship was found between the flexural, splitting tensile and compressive strength.
{"title":"Strength Performance of Free Cement Mortars Incorporating Fly ASH and Slag: Effects of Alkaline Activator Solution Dosage","authors":"Hussein K. Hamzah, Dan Paul Georgescu, Nur Hafizah A. Khalid, Ghasan F. Hussein","doi":"10.31580/ojst.v3i2.1469","DOIUrl":"https://doi.org/10.31580/ojst.v3i2.1469","url":null,"abstract":"In recent days, the reduce of carbon dioxide emission, cost and energy consumption are the main concern in urban countries worldwide. Concrete is the main construction materials and the Ordinary Portland Cement (OPC)is primary binder in concrete industry. OPC industry cases many environmental problems such as carbon dioxide emission and high energy consumption. Alkali-activated paste, mortars and concrete are introduced as alternative materials to OPC in concrete production with lower energy consumption and carbon dioxide emission. In the experimental, the alkaline activator solution effects on fresh and hardened properties of binary blended alkali-activated mortars were evaluated. The wastes materials such as fly ash (FA) and ground blast furnace slag (GBFS) were incorporating with river sand to prepare the mortar specimens. To activate the blend, six dosage of alkaline activator solution were used for this purpose. The results of tested specimens shown the enhancement in flowabiliry of mortar with increasing content of alkaline solution. The highest strength was achieved with specimens’ mortar prepared with ratio 0.40 of alkaline solution to binder content at 28 days of age. For all prepared alkali-activated mortar’ specimens, a good direct relationship was found between the flexural, splitting tensile and compressive strength.","PeriodicalId":19674,"journal":{"name":"Open Access Journal of Science and Technology","volume":"56 1","pages":""},"PeriodicalIF":0.0,"publicationDate":"2020-08-04","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"79822261","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}
Rawaa S. Al-Mayyahi, M. Al-Hayder, R. M. Hraishawi
High fat diet and obesity have been considered as a main risk factor for various diseases such heart disease, chronic kidney disease and respiratory diseases. However, the precise effect of high fat diet on lung and kidney histopathology is limited. The present study examined the effects of high fat diet on rat histopathology. Female albino Wistar rats of four-week-old were fed either a basic diet or a high-fat diet (20% of fat). After one month of feeding, the histopathological analysis of kidney and lung was investigated. The kidney tissue of rats fed with high-fat diet presented several alterations including variable size of glomeruli, bleeding and congested blood vessels and deformations of several tubular structures compared with those that fed a basic diet. While the lung parenchyma of rats fed with high fat diet showed collapsed alveoli separated by thick inter-alveolar septa, infiltration of inflammatory cells and congested blood vessels were also observed. In conclusion, the high fat diet is responsible for detectable changes in kidney and lung in female rat and this type of diet may lead to renal and respiratory deformities as a result of its histopathological effects.
{"title":"The Effects of High Fat Diet on Kidney and Lung Histopathology in Experimental Rats","authors":"Rawaa S. Al-Mayyahi, M. Al-Hayder, R. M. Hraishawi","doi":"10.31580/OJST.V3I1.1357","DOIUrl":"https://doi.org/10.31580/OJST.V3I1.1357","url":null,"abstract":"High fat diet and obesity have been considered as a main risk factor for various diseases such heart disease, chronic kidney disease and respiratory diseases. However, the precise effect of high fat diet on lung and kidney histopathology is limited. The present study examined the effects of high fat diet on rat histopathology. Female albino Wistar rats of four-week-old were fed either a basic diet or a high-fat diet (20% of fat). After one month of feeding, the histopathological analysis of kidney and lung was investigated. The kidney tissue of rats fed with high-fat diet presented several alterations including variable size of glomeruli, bleeding and congested blood vessels and deformations of several tubular structures compared with those that fed a basic diet. While the lung parenchyma of rats fed with high fat diet showed collapsed alveoli separated by thick inter-alveolar septa, infiltration of inflammatory cells and congested blood vessels were also observed. In conclusion, the high fat diet is responsible for detectable changes in kidney and lung in female rat and this type of diet may lead to renal and respiratory deformities as a result of its histopathological effects.","PeriodicalId":19674,"journal":{"name":"Open Access Journal of Science and Technology","volume":"13 1","pages":""},"PeriodicalIF":0.0,"publicationDate":"2020-05-04","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"87756600","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}
Digital contents are incrementing at an exceptional pace. The world has never been the same again since the explosion of the Internet gateway. People accessing and creating information at every corner of the world. The jobs that usually reserved to a technical person called ‘webmaster’ are no longer own that privileged. Anyone at any part of the world may create new content with just a single click. These inabilities of the organization to efficiently manage their digital content has led to the exploration of a new field in Information System (IS) research. Enterprise Content Management (ECM) is the strategies, tools, process and skills that enable the organization to manage their digital contents throughout its entire lifecycle. With the new challenges of cloud computing and big data, academics and practitioners argue about the relevancies of this field to sustain its existence for further studies. Is ECM a worthy discipline for further research? By answering this question, this paper aims to revitalizing and introduce new ideas to the ECM researchers and analysing the current state of ECM literature.
{"title":"The 5Ws of Enterprise Content Management (ECM) Research","authors":"Mohamad Rahimi Mohamad Rosman","doi":"10.31580/ojst.v3i1.1296","DOIUrl":"https://doi.org/10.31580/ojst.v3i1.1296","url":null,"abstract":"Digital contents are incrementing at an exceptional pace. The world has never been the same again since the explosion of the Internet gateway. People accessing and creating information at every corner of the world. The jobs that usually reserved to a technical person called ‘webmaster’ are no longer own that privileged. Anyone at any part of the world may create new content with just a single click. These inabilities of the organization to efficiently manage their digital content has led to the exploration of a new field in Information System (IS) research. Enterprise Content Management (ECM) is the strategies, tools, process and skills that enable the organization to manage their digital contents throughout its entire lifecycle. With the new challenges of cloud computing and big data, academics and practitioners argue about the relevancies of this field to sustain its existence for further studies. Is ECM a worthy discipline for further research? By answering this question, this paper aims to revitalizing and introduce new ideas to the ECM researchers and analysing the current state of ECM literature. ","PeriodicalId":19674,"journal":{"name":"Open Access Journal of Science and Technology","volume":"208 1","pages":""},"PeriodicalIF":0.0,"publicationDate":"2020-05-04","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"72783949","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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