Pub Date : 2024-07-30DOI: 10.53022/oarjst.2024.11.2.0094
Patience Okpeke Paul, Toluwalase Vanessa Iyelolu
This review paper comprehensively analyses green bonds and their role in sustainable finance. It examines green bonds' definition, characteristics, performance, market trends, challenges, and opportunities. Findings reveal that green bonds offer investors an avenue to align financial objectives with environmental goals while generating competitive returns. However, challenges such as standardised definitions and insufficient investable projects hinder market growth. Implications for investors, issuers, and policymakers are discussed, highlighting the importance of integrating environmental, social, and governance factors into decision-making processes. Recommendations include further research to enhance understanding and stakeholder collaboration to promote transparency and accountability. Ultimately, green bonds promise to advance environmental sustainability and combat climate change in a resilient, low-carbon economy.
{"title":"Green bonds and sustainable finance: Performance insights and future outlook","authors":"Patience Okpeke Paul, Toluwalase Vanessa Iyelolu","doi":"10.53022/oarjst.2024.11.2.0094","DOIUrl":"https://doi.org/10.53022/oarjst.2024.11.2.0094","url":null,"abstract":"This review paper comprehensively analyses green bonds and their role in sustainable finance. It examines green bonds' definition, characteristics, performance, market trends, challenges, and opportunities. Findings reveal that green bonds offer investors an avenue to align financial objectives with environmental goals while generating competitive returns. However, challenges such as standardised definitions and insufficient investable projects hinder market growth. Implications for investors, issuers, and policymakers are discussed, highlighting the importance of integrating environmental, social, and governance factors into decision-making processes. Recommendations include further research to enhance understanding and stakeholder collaboration to promote transparency and accountability. Ultimately, green bonds promise to advance environmental sustainability and combat climate change in a resilient, low-carbon economy.","PeriodicalId":499957,"journal":{"name":"Open access research journal of science and technology","volume":"3 2","pages":""},"PeriodicalIF":0.0,"publicationDate":"2024-07-30","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"141795838","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 delves into the multifaceted dimensions of food culture in Africa beyond culinary practices. It examines the socio-cultural significance of food consumption, production, and distribution in shaping identities, social structures, and community relationships. Through case studies and ethnographic research, it explores how food serves as a lens for understanding issues such as globalization, colonial legacies, and cultural hybridity, highlighting how food culture intersects with broader socio-political dynamics on the continent. Culinary Narratives: Exploring the Socio-Cultural Dynamics of Food Culture in Africa Culinary narratives in African literature provide a unique lens through which to explore the socio-cultural dynamics of food culture on the continent. This review delves into the rich tapestry of food-related stories, traditions, and practices in African societies, highlighting their significance in shaping identity, community, and cultural exchange. This study examines the role of culinary narratives in African literature, focusing on how food-related stories and traditions reflect and influence socio-cultural dynamics. By analyzing a range of literary works from different African countries and regions, this study aims to uncover the diverse ways in which food culture is represented and its impact on African societies. Studying culinary narratives in African literature is crucial for understanding the complexities of food culture and its role in shaping identity and social relations. Food is not just sustenance in African societies; it is a form of communication, a marker of identity, and a medium through which cultural traditions are preserved and shared. By exploring culinary narratives, we gain insights into the values, beliefs, and traditions that define African cultures. This study argues that culinary narratives in African literature offer a rich and multifaceted portrayal of food culture, highlighting its significance in shaping identity, community, and cultural exchange. Through the analysis of various literary works, this study seeks to illuminate the diverse ways in which food is represented and its impact on African societies. In conclusion, culinary narratives in African literature offer a unique and insightful perspective on the socio-cultural dynamics of food culture on the continent. By exploring these narratives, we gain a deeper understanding of the diverse ways in which food is used to communicate, celebrate, and preserve cultural heritage in African societies.
{"title":"Culinary narratives: Exploring the socio-cultural dynamics of food culture in Africa","authors":"Deborah Aanuoluwa Soyombo, Eseoghene Kupa, Tochukwu Ignatius Ijomah, Adekunle Stephen Toromade","doi":"10.53022/oarjst.2024.11.2.0086","DOIUrl":"https://doi.org/10.53022/oarjst.2024.11.2.0086","url":null,"abstract":"This paper delves into the multifaceted dimensions of food culture in Africa beyond culinary practices. It examines the socio-cultural significance of food consumption, production, and distribution in shaping identities, social structures, and community relationships. Through case studies and ethnographic research, it explores how food serves as a lens for understanding issues such as globalization, colonial legacies, and cultural hybridity, highlighting how food culture intersects with broader socio-political dynamics on the continent. Culinary Narratives: Exploring the Socio-Cultural Dynamics of Food Culture in Africa Culinary narratives in African literature provide a unique lens through which to explore the socio-cultural dynamics of food culture on the continent. This review delves into the rich tapestry of food-related stories, traditions, and practices in African societies, highlighting their significance in shaping identity, community, and cultural exchange. This study examines the role of culinary narratives in African literature, focusing on how food-related stories and traditions reflect and influence socio-cultural dynamics. By analyzing a range of literary works from different African countries and regions, this study aims to uncover the diverse ways in which food culture is represented and its impact on African societies. Studying culinary narratives in African literature is crucial for understanding the complexities of food culture and its role in shaping identity and social relations. Food is not just sustenance in African societies; it is a form of communication, a marker of identity, and a medium through which cultural traditions are preserved and shared. By exploring culinary narratives, we gain insights into the values, beliefs, and traditions that define African cultures. This study argues that culinary narratives in African literature offer a rich and multifaceted portrayal of food culture, highlighting its significance in shaping identity, community, and cultural exchange. Through the analysis of various literary works, this study seeks to illuminate the diverse ways in which food is represented and its impact on African societies. In conclusion, culinary narratives in African literature offer a unique and insightful perspective on the socio-cultural dynamics of food culture on the continent. By exploring these narratives, we gain a deeper understanding of the diverse ways in which food is used to communicate, celebrate, and preserve cultural heritage in African societies.","PeriodicalId":499957,"journal":{"name":"Open access research journal of science and technology","volume":"3 2","pages":""},"PeriodicalIF":0.0,"publicationDate":"2024-07-30","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"141795573","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 : 2024-07-30DOI: 10.53022/oarjst.2024.11.2.0081
David Chinalu Anaba, Azeez Jason Kess-Momoh, Sodrudeen Abolore Ayodeji
Innovative maintenance strategies are transforming the industrial landscape by enhancing equipment reliability and operational efficiency. This paper reviews current preventive, predictive, reliability-centred, and total productive maintenance practices, highlighting their advantages and limitations. It explores the impact of technological advancements, including IoT, AI, digital twins, drones, and robotics, on maintenance processes. Despite the benefits, implementing these advanced strategies faces challenges related to technical integration, economic feasibility, workforce training, and regulatory compliance. The paper discusses emerging trends, identifies areas needing further research and development, and offers recommendations for best practices. Organizations can optimize maintenance operations, reduce downtime, and improve productivity by addressing these challenges and leveraging new technologies. This paper provides a comprehensive overview of the current state and future directions of industrial equipment maintenance, aiming to guide organizations in adopting effective maintenance strategies.
{"title":"Innovative maintenance strategies for industrial equipment: A review of current practices and future directions","authors":"David Chinalu Anaba, Azeez Jason Kess-Momoh, Sodrudeen Abolore Ayodeji","doi":"10.53022/oarjst.2024.11.2.0081","DOIUrl":"https://doi.org/10.53022/oarjst.2024.11.2.0081","url":null,"abstract":"Innovative maintenance strategies are transforming the industrial landscape by enhancing equipment reliability and operational efficiency. This paper reviews current preventive, predictive, reliability-centred, and total productive maintenance practices, highlighting their advantages and limitations. It explores the impact of technological advancements, including IoT, AI, digital twins, drones, and robotics, on maintenance processes. Despite the benefits, implementing these advanced strategies faces challenges related to technical integration, economic feasibility, workforce training, and regulatory compliance. The paper discusses emerging trends, identifies areas needing further research and development, and offers recommendations for best practices. Organizations can optimize maintenance operations, reduce downtime, and improve productivity by addressing these challenges and leveraging new technologies. This paper provides a comprehensive overview of the current state and future directions of industrial equipment maintenance, aiming to guide organizations in adopting effective maintenance strategies.","PeriodicalId":499957,"journal":{"name":"Open access research journal of science and technology","volume":"11 46","pages":""},"PeriodicalIF":0.0,"publicationDate":"2024-07-30","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"141795661","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 : 2024-07-30DOI: 10.53022/oarjst.2024.11.2.0085
Thalia Florencia Da Costa Cabral, Amin Samiasih
Diabetes Mellitus is a degenerative disease characterized by high blood sugar levels. The main obstacle in the treatment of diabetes mellitus diet is saturation in following dietary therapy, therefore family support is needed to improve dietary adherence of people with type 2 diabetes mellitus. This review aims to obtain information about family support for dietary adherence motivation in people with type 2 diabetes mellitus. The research method used is systematic review. Literature is searched through Google Schoolar, PubMed, and Mendeley databases in May-June 2024. A total of 1957 articles were obtained, then the articles were selected through the stages of title, abstract, keywords and continued selection in fulltext. The results of the selection were obtained 7 articles that met the set criteria. Review reporting uses Preferred Reporting Items for Systematic reviews and Meta-Analyses (PRISMA). Based on the systematic review that has been carried out, the results of the relationship and factors that affect family support with motivating dietary adherence in people with type 2 diabetes mellitus are obtained.
{"title":"Family Support on Dietary Adherence Through Motivation in Patients with Diabetes Mellitus Type 2: A systematic review","authors":"Thalia Florencia Da Costa Cabral, Amin Samiasih","doi":"10.53022/oarjst.2024.11.2.0085","DOIUrl":"https://doi.org/10.53022/oarjst.2024.11.2.0085","url":null,"abstract":"Diabetes Mellitus is a degenerative disease characterized by high blood sugar levels. The main obstacle in the treatment of diabetes mellitus diet is saturation in following dietary therapy, therefore family support is needed to improve dietary adherence of people with type 2 diabetes mellitus. This review aims to obtain information about family support for dietary adherence motivation in people with type 2 diabetes mellitus. The research method used is systematic review. Literature is searched through Google Schoolar, PubMed, and Mendeley databases in May-June 2024. A total of 1957 articles were obtained, then the articles were selected through the stages of title, abstract, keywords and continued selection in fulltext. The results of the selection were obtained 7 articles that met the set criteria. Review reporting uses Preferred Reporting Items for Systematic reviews and Meta-Analyses (PRISMA). Based on the systematic review that has been carried out, the results of the relationship and factors that affect family support with motivating dietary adherence in people with type 2 diabetes mellitus are obtained.","PeriodicalId":499957,"journal":{"name":"Open access research journal of science and technology","volume":"9 7","pages":""},"PeriodicalIF":0.0,"publicationDate":"2024-07-30","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"141796033","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 : 2024-07-30DOI: 10.53022/oarjst.2024.11.2.0095
Patience Okpeke Paul, Toluwalase Vanessa Iyelolu
This review paper examines the utilisation of machine learning techniques for predicting stock market crashes. It surveys existing methodologies, identifies common trends, and analyses strengths and weaknesses. A novel methodological framework is proposed, integrating ensemble learning, alternative data sources, and model interpretability to address limitations in current approaches. The proposed framework aims to enhance predictive accuracy, transparency, and actionable insights in financial forecasting. Future research directions include empirical validation, interdisciplinary collaboration, and the integration of emerging technologies. Continued research in leveraging machine learning for financial forecasting is vital for advancing risk management practices and fostering resilient financial systems.
{"title":"Predicting stock market crashes with machine learning: A review and methodological proposal","authors":"Patience Okpeke Paul, Toluwalase Vanessa Iyelolu","doi":"10.53022/oarjst.2024.11.2.0095","DOIUrl":"https://doi.org/10.53022/oarjst.2024.11.2.0095","url":null,"abstract":"This review paper examines the utilisation of machine learning techniques for predicting stock market crashes. It surveys existing methodologies, identifies common trends, and analyses strengths and weaknesses. A novel methodological framework is proposed, integrating ensemble learning, alternative data sources, and model interpretability to address limitations in current approaches. The proposed framework aims to enhance predictive accuracy, transparency, and actionable insights in financial forecasting. Future research directions include empirical validation, interdisciplinary collaboration, and the integration of emerging technologies. Continued research in leveraging machine learning for financial forecasting is vital for advancing risk management practices and fostering resilient financial systems.","PeriodicalId":499957,"journal":{"name":"Open access research journal of science and technology","volume":"1 4","pages":""},"PeriodicalIF":0.0,"publicationDate":"2024-07-30","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"141795750","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 : 2024-07-30DOI: 10.53022/oarjst.2024.11.2.0083
David Chinalu Anaba, Azeez Jason Kess-Momoh, Sodrudeen Abolore Ayodeji
Supply chain and logistics management are pivotal in today's globalized economy, where efficiency, responsiveness, and sustainability are critical for competitive advantage. This paper reviews modern practices and emerging trends in optimizing supply chain and logistics management. It explores technological advancements such as AI, IoT, blockchain, and robotics, which enhance operational efficiency and enable real-time data-driven decision-making. Sustainability practices, including green logistics and circular economies, are also examined for their impact on reducing environmental footprint and enhancing corporate social responsibility. Key strategies like lean and agile supply chains, coupled with advanced inventory management techniques such as Just-in-Time (JIT) and Vendor-Managed Inventory (VMI), are discussed in terms of their application and effectiveness in different business contexts. Supply chain integration enhances visibility, collaboration, and resilience across the network. Furthermore, the paper addresses significant challenges such as risk management in the face of natural disasters, political instability, and cybersecurity threats. It highlights the importance of proactive risk mitigation strategies and robust data management practices to safeguard supply chain operations. The paper anticipates future directions in supply chain management, including AI-driven predictive analytics, blockchain for transparency and traceability, and the shift towards circular economies. It concludes with insights into the evolving business models shaped by digital platforms and e-commerce, emphasizing the need for continuous innovation and adaptation to maintain competitiveness in a rapidly evolving landscape.
{"title":"Optimizing supply chain and logistics management: A review of modern practices","authors":"David Chinalu Anaba, Azeez Jason Kess-Momoh, Sodrudeen Abolore Ayodeji","doi":"10.53022/oarjst.2024.11.2.0083","DOIUrl":"https://doi.org/10.53022/oarjst.2024.11.2.0083","url":null,"abstract":"Supply chain and logistics management are pivotal in today's globalized economy, where efficiency, responsiveness, and sustainability are critical for competitive advantage. This paper reviews modern practices and emerging trends in optimizing supply chain and logistics management. It explores technological advancements such as AI, IoT, blockchain, and robotics, which enhance operational efficiency and enable real-time data-driven decision-making. Sustainability practices, including green logistics and circular economies, are also examined for their impact on reducing environmental footprint and enhancing corporate social responsibility. Key strategies like lean and agile supply chains, coupled with advanced inventory management techniques such as Just-in-Time (JIT) and Vendor-Managed Inventory (VMI), are discussed in terms of their application and effectiveness in different business contexts. Supply chain integration enhances visibility, collaboration, and resilience across the network. Furthermore, the paper addresses significant challenges such as risk management in the face of natural disasters, political instability, and cybersecurity threats. It highlights the importance of proactive risk mitigation strategies and robust data management practices to safeguard supply chain operations. The paper anticipates future directions in supply chain management, including AI-driven predictive analytics, blockchain for transparency and traceability, and the shift towards circular economies. It concludes with insights into the evolving business models shaped by digital platforms and e-commerce, emphasizing the need for continuous innovation and adaptation to maintain competitiveness in a rapidly evolving landscape.","PeriodicalId":499957,"journal":{"name":"Open access research journal of science and technology","volume":"6 7","pages":""},"PeriodicalIF":0.0,"publicationDate":"2024-07-30","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"141796055","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 : 2024-07-30DOI: 10.53022/oarjst.2024.11.2.0092
Toluwalase Vanessa Iyelolu, Patience Okpeke Paul
This review paper examines remote work's economic implications by evaluating financial and HR metrics in remote work environments. It provides an overview of remote work arrangements, identifies key economic drivers behind the shift to remote work, and discusses the impact of remote work on traditional financial metrics such as cost savings and productivity. Additionally, it explores HR metrics specific to remote work environments, including employee engagement, retention, and communication effectiveness. The paper highlights challenges in measuring HR metrics in remote setups and proposes solutions. Furthermore, it discusses the impact of remote work on employee well-being and organisational culture, emphasising the importance of supporting employee success and cultivating a positive remote work culture. The implications of financial and HR metrics in remote work economics are discussed, along with suggestions for future research directions and potential areas for improvement in evaluating remote work economics.
{"title":"Remote work economics: A conceptual review of financial and HR metrics","authors":"Toluwalase Vanessa Iyelolu, Patience Okpeke Paul","doi":"10.53022/oarjst.2024.11.2.0092","DOIUrl":"https://doi.org/10.53022/oarjst.2024.11.2.0092","url":null,"abstract":"This review paper examines remote work's economic implications by evaluating financial and HR metrics in remote work environments. It provides an overview of remote work arrangements, identifies key economic drivers behind the shift to remote work, and discusses the impact of remote work on traditional financial metrics such as cost savings and productivity. Additionally, it explores HR metrics specific to remote work environments, including employee engagement, retention, and communication effectiveness. The paper highlights challenges in measuring HR metrics in remote setups and proposes solutions. Furthermore, it discusses the impact of remote work on employee well-being and organisational culture, emphasising the importance of supporting employee success and cultivating a positive remote work culture. The implications of financial and HR metrics in remote work economics are discussed, along with suggestions for future research directions and potential areas for improvement in evaluating remote work economics.","PeriodicalId":499957,"journal":{"name":"Open access research journal of science and technology","volume":"3 2","pages":""},"PeriodicalIF":0.0,"publicationDate":"2024-07-30","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"141796104","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 : 2024-07-30DOI: 10.53022/oarjst.2024.11.2.0087
Ezigbo Eucharia Chizoba, Agada Emmanuel Oloche
Fruits are in great demand since they are nutrient-dense. For this reason, it becomes highly essential to create more in the shortest amount of time in order to keep up with the always-rising demand. As a result, there has been a significant chance that these fruits may become contaminated with harmful microbes, raising concerns about consumer safety. This study sought to ascertain the potential health effects of fruit contamination by fungal species found on the fruit surfaces, as there is currently insufficient information in this area. Three (3) species of Citrus (CF) which include; lemon (Citrus limon (L.) Burm. f.), Chinese orange or sweet orange (Citrus sinensis (L.) Osbeck), and key lime or lime (Citrus aurantifolia (Christm.) Swingle) were randomly bought from different hawkers at different parts of Bwari market in Abuja, Nigeria. From the studies, five different fungal species were identified and they include: Penicillium spp Trichophyton spp, Aspergillus spp, Candida spp and Rhizopus spp. This demonstrated that fungi exist in all environments and that handling fruits improperly can have serious negative health impacts on people since some of these fungi are pathogenic. A number of approaches, such as washing fruits in vinegar water, have been found to be very effective in reducing microbial infection. Other washing methods, such as using saltwater, also work well. Additionally, it is a good idea to regularly replace the water used to wash those fruits in order to prevent cross-contamination while handling.
水果营养丰富，需求量很大。因此，必须在最短的时间内生产出更多的水果，以满足不断增长的需求。因此，这些水果很有可能受到有害微生物的污染，从而引发对消费者安全的担忧。本研究试图确定水果表面真菌污染对健康的潜在影响，因为目前这方面的信息还不够充分。研究人员在尼日利亚阿布贾布瓦里市场的不同地方从不同的小贩那里随机购买了三（3）种柑橘（CF），包括柠檬（Citrus limon (L.) Burm.f.）、甜橙（Citrus sinensis (L.) Osbeck）和酸橙（Citrus aurantifolia (Christm.) Swingle）。研究发现了五种不同的真菌，包括这表明真菌存在于所有环境中，不当处理水果会对人们的健康产生严重的负面影响，因为其中一些真菌具有致病性。研究发现，用醋水清洗水果等方法能有效减少微生物感染。使用盐水等其他清洗方法也很有效。此外，定期更换清洗水果的水也是一个好主意，以防止在处理水果时发生交叉污染。
{"title":"Health impacts of some fungal communities found on the surface of selected citrus fruits from Bwari market Abuja, Nigeria","authors":"Ezigbo Eucharia Chizoba, Agada Emmanuel Oloche","doi":"10.53022/oarjst.2024.11.2.0087","DOIUrl":"https://doi.org/10.53022/oarjst.2024.11.2.0087","url":null,"abstract":"Fruits are in great demand since they are nutrient-dense. For this reason, it becomes highly essential to create more in the shortest amount of time in order to keep up with the always-rising demand. As a result, there has been a significant chance that these fruits may become contaminated with harmful microbes, raising concerns about consumer safety. This study sought to ascertain the potential health effects of fruit contamination by fungal species found on the fruit surfaces, as there is currently insufficient information in this area. Three (3) species of Citrus (CF) which include; lemon (Citrus limon (L.) Burm. f.), Chinese orange or sweet orange (Citrus sinensis (L.) Osbeck), and key lime or lime (Citrus aurantifolia (Christm.) Swingle) were randomly bought from different hawkers at different parts of Bwari market in Abuja, Nigeria. From the studies, five different fungal species were identified and they include: Penicillium spp Trichophyton spp, Aspergillus spp, Candida spp and Rhizopus spp. This demonstrated that fungi exist in all environments and that handling fruits improperly can have serious negative health impacts on people since some of these fungi are pathogenic. A number of approaches, such as washing fruits in vinegar water, have been found to be very effective in reducing microbial infection. Other washing methods, such as using saltwater, also work well. Additionally, it is a good idea to regularly replace the water used to wash those fruits in order to prevent cross-contamination while handling.","PeriodicalId":499957,"journal":{"name":"Open access research journal of science and technology","volume":"2 2","pages":""},"PeriodicalIF":0.0,"publicationDate":"2024-07-30","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"141795980","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 : 2024-07-30DOI: 10.53022/oarjst.2024.11.1.0078
Charles Mwangi Macharia, Humphreys Were Obulinji, Amon Mwangi Karanja
Adoption of green technologies in construction of buildings is one of the strategies of climate change mitigation and reducing the negative effects of urbanization to the environment. The adoption of green technologies is critical for achieving low carbon development. However, it is not clear what factors determine the uptake of different types of green technologies in the construction of buildings in the study area, an issue that this study sought to investigate. The study adopted a mixed research design. The target population was 1191 households, with a sample study size of 153 (13%) households obtained from Milimani, Section 58 and Naka Estates in Nakuru City. Primary data was collected using structured household questionnaires and key informant interviews. The data obtained was analyzed using descriptive and inferential statistics, where: percentages, frequencies and multiple linear regression analysis test were computed. The study observed that education level, employment status, and monthly household income had a significant influence in adoption of green building technologies. The results of the study provide a basis that can be used for the formulation of policies that can enhance the adoption of green building technologies in Nakuru City.
{"title":"Determinants of adoption of green technologies in the construction of buildings in Nakuru city, Kenya","authors":"Charles Mwangi Macharia, Humphreys Were Obulinji, Amon Mwangi Karanja","doi":"10.53022/oarjst.2024.11.1.0078","DOIUrl":"https://doi.org/10.53022/oarjst.2024.11.1.0078","url":null,"abstract":"Adoption of green technologies in construction of buildings is one of the strategies of climate change mitigation and reducing the negative effects of urbanization to the environment. The adoption of green technologies is critical for achieving low carbon development. However, it is not clear what factors determine the uptake of different types of green technologies in the construction of buildings in the study area, an issue that this study sought to investigate. The study adopted a mixed research design. The target population was 1191 households, with a sample study size of 153 (13%) households obtained from Milimani, Section 58 and Naka Estates in Nakuru City. Primary data was collected using structured household questionnaires and key informant interviews. The data obtained was analyzed using descriptive and inferential statistics, where: percentages, frequencies and multiple linear regression analysis test were computed. The study observed that education level, employment status, and monthly household income had a significant influence in adoption of green building technologies. The results of the study provide a basis that can be used for the formulation of policies that can enhance the adoption of green building technologies in Nakuru City.","PeriodicalId":499957,"journal":{"name":"Open access research journal of science and technology","volume":"11 10","pages":""},"PeriodicalIF":0.0,"publicationDate":"2024-07-30","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"141796120","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 : 2024-07-30DOI: 10.53022/oarjst.2024.11.2.0082
David Chinalu Anaba, Azeez Jason Kess-Momoh, Sodrudeen Abolore Ayodeji
The role of 3D modeling in supply chain optimization has grown significantly, offering transformative benefits in design, prototyping, inventory management, production planning, logistics, and quality control. This paper explores the impact of 3D modeling technologies on these key areas, highlighting how they enhance efficiency, reduce costs, and improve overall supply chain responsiveness. It addresses high implementation costs, technical integration issues, and data management complexities. Additionally, the paper anticipates future trends, including integrating artificial intelligence and machine learning, the proliferation of cloud-based 3D modeling platforms, and advancements in additive manufacturing. Recommendations for successful implementation include investing in training, prioritizing data quality, and adopting a phased approach to integrate 3D modeling into supply chain processes. The findings underscore the critical role of 3D modeling in driving innovation and competitiveness in modern supply chains, emphasizing its potential to revolutionize the industry through enhanced visualization, simulation, and customization capabilities.
{"title":"The role of 3D modeling in supply chain optimization: Innovations and applications","authors":"David Chinalu Anaba, Azeez Jason Kess-Momoh, Sodrudeen Abolore Ayodeji","doi":"10.53022/oarjst.2024.11.2.0082","DOIUrl":"https://doi.org/10.53022/oarjst.2024.11.2.0082","url":null,"abstract":"The role of 3D modeling in supply chain optimization has grown significantly, offering transformative benefits in design, prototyping, inventory management, production planning, logistics, and quality control. This paper explores the impact of 3D modeling technologies on these key areas, highlighting how they enhance efficiency, reduce costs, and improve overall supply chain responsiveness. It addresses high implementation costs, technical integration issues, and data management complexities. Additionally, the paper anticipates future trends, including integrating artificial intelligence and machine learning, the proliferation of cloud-based 3D modeling platforms, and advancements in additive manufacturing. Recommendations for successful implementation include investing in training, prioritizing data quality, and adopting a phased approach to integrate 3D modeling into supply chain processes. The findings underscore the critical role of 3D modeling in driving innovation and competitiveness in modern supply chains, emphasizing its potential to revolutionize the industry through enhanced visualization, simulation, and customization capabilities.","PeriodicalId":499957,"journal":{"name":"Open access research journal of science and technology","volume":"12 10","pages":""},"PeriodicalIF":0.0,"publicationDate":"2024-07-30","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"141795931","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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