Pub Date : 2024-08-09DOI: 10.56557/jobari/2024/v30i48813
Jonathan Hong
Millions of stray cats, also known as feral cats, live in the United States, and many are left to die each year. These cats are the same animals as the domesticated felines that people care for in their homes. Because of their notorious reputation of being resistant towards humans, the abandoned felines still suffer without basic survival necessities like food and a warm place to stay throughout the winter. Along with the suffering that these cats go through, it is also crucial to acknowledge that the growing number of these stray cats is a threat to the environment: the spread of disease and competition. In this paper, an IoT-based smart feral cat shelter has been assembled and tested to effectively minimize the stray cats on the streets. The shelter will be used as a method to get the cats to become more dependent on the help of humans which can lead them through the process of domestication. The functions of the smart system include temperature monitoring that is directly connected to sensors that control electric fans and a heating pad. It also includes containers with food and water that were controlled by sensors along with a system that sends emails and text reports to the user. In addition, an advanced type of webcam functionality is added to track outside movement and ensure everything is working as intended. Through individually testing all the components, the system proves effective and offers advanced functions to the feral cat. With everything working as intended, creating and using more of these shelters across different communities can leave a permanent change in the total feral cat population. Though everything works well, there is always room for future modifications to help ensure that the shelter is used as intended and other security measures.
{"title":"Building an Automatic Controlled Smart Feral Cat Shelter Using a Microcontroller Arduino Mega","authors":"Jonathan Hong","doi":"10.56557/jobari/2024/v30i48813","DOIUrl":"https://doi.org/10.56557/jobari/2024/v30i48813","url":null,"abstract":"Millions of stray cats, also known as feral cats, live in the United States, and many are left to die each year. These cats are the same animals as the domesticated felines that people care for in their homes. Because of their notorious reputation of being resistant towards humans, the abandoned felines still suffer without basic survival necessities like food and a warm place to stay throughout the winter. Along with the suffering that these cats go through, it is also crucial to acknowledge that the growing number of these stray cats is a threat to the environment: the spread of disease and competition. In this paper, an IoT-based smart feral cat shelter has been assembled and tested to effectively minimize the stray cats on the streets. The shelter will be used as a method to get the cats to become more dependent on the help of humans which can lead them through the process of domestication. The functions of the smart system include temperature monitoring that is directly connected to sensors that control electric fans and a heating pad. It also includes containers with food and water that were controlled by sensors along with a system that sends emails and text reports to the user. In addition, an advanced type of webcam functionality is added to track outside movement and ensure everything is working as intended. Through individually testing all the components, the system proves effective and offers advanced functions to the feral cat. With everything working as intended, creating and using more of these shelters across different communities can leave a permanent change in the total feral cat population. Though everything works well, there is always room for future modifications to help ensure that the shelter is used as intended and other security measures.","PeriodicalId":119621,"journal":{"name":"Journal of Basic and Applied Research International","volume":"56 30","pages":""},"PeriodicalIF":0.0,"publicationDate":"2024-08-09","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"141923724","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 : 2024-07-11DOI: 10.56557/jobari/2024/v30i38767
Nwaizuzu, D. O., Uche, R., Obiukwu, O. O., E. D. A., Alozie, U. H, Onyeso, G. E.
This study investigates the root causes of productivity decline in the automotive assembly section of a Nigerian industry, and proposes revitalization strategies and optimization models. Mismanagement in productivity measures, particularly in labour and capital, is a major cause of failure in manufacturing industries. The research methodology of this study utilized data collected through questionnaires, company records, and analyzed using Excel and MATLAB software, afterward, regression and SEM models were applied. From the result obtained, political factors, machine failure, and financial challenges were identified as the top root causes, with impacts of 20%, 18%, and 15% respectively. The models showed a good fit, with regression and SEM estimates of 95% and 90%. The recommended strategies indicated a direct relationship with the case study company and other manufacturing company factors and sections that makes up an industry, indicating a positive revitalization techniques and maintenance sustainability. The study recommends strategies include financial restructuring and technological innovation to enhance operational efficiency and align with industry standards.
本研究调查了尼日利亚某行业汽车装配部门生产率下降的根本原因，并提出了振兴战略和优化模型。生产率措施管理不善，尤其是劳动力和资本管理不善，是制造业失败的主要原因。本研究采用的研究方法是通过调查问卷和公司记录收集数据，并使用 Excel 和 MATLAB 软件进行分析，然后应用回归和 SEM 模型。研究结果表明，政治因素、机器故障和财务挑战是最主要的根本原因，其影响程度分别为 20%、18% 和 15%。模型的拟合度较好，回归系数和 SEM 估计值分别为 95% 和 90%。所推荐的战略表明，案例研究公司与其他制造公司因素和构成行业的各部分之间存在直接关系，这表明振兴技术和维护可持续性具有积极意义。研究建议的战略包括财务重组和技术创新，以提高运营效率并与行业标准接轨。
{"title":"Improving Productivity in Automotive Manufacturing: A Combined Approach of Root Cause Analysis and Sem Models","authors":"Nwaizuzu, D. O., Uche, R., Obiukwu, O. O., E. D. A., Alozie, U. H, Onyeso, G. E.","doi":"10.56557/jobari/2024/v30i38767","DOIUrl":"https://doi.org/10.56557/jobari/2024/v30i38767","url":null,"abstract":"This study investigates the root causes of productivity decline in the automotive assembly section of a Nigerian industry, and proposes revitalization strategies and optimization models. Mismanagement in productivity measures, particularly in labour and capital, is a major cause of failure in manufacturing industries. The research methodology of this study utilized data collected through questionnaires, company records, and analyzed using Excel and MATLAB software, afterward, regression and SEM models were applied. From the result obtained, political factors, machine failure, and financial challenges were identified as the top root causes, with impacts of 20%, 18%, and 15% respectively. The models showed a good fit, with regression and SEM estimates of 95% and 90%. The recommended strategies indicated a direct relationship with the case study company and other manufacturing company factors and sections that makes up an industry, indicating a positive revitalization techniques and maintenance sustainability. The study recommends strategies include financial restructuring and technological innovation to enhance operational efficiency and align with industry standards.","PeriodicalId":119621,"journal":{"name":"Journal of Basic and Applied Research International","volume":"136 10","pages":""},"PeriodicalIF":0.0,"publicationDate":"2024-07-11","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"141656358","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 : 2024-07-06DOI: 10.56557/jobari/2024/v30i38763
Lawretta Adaobi Onyekwere
The study investigated automation, artificial intelligence and the future of work in key industries in Rivers State. Four research questions and four corresponding hypotheses were formulated to understand how AI automation relationship s job security, skill requirements, workforce adaptation, employee well-being, and work-life balance in these industries. The research uses a correlational research design and the target population comprises employees from key industries in Rivers State, including manufacturing, agriculture, healthcare, and technology sectors. A stratified random sampling technique was employed to draw a sample size of 54 employees across these industries. The self-structured questionnaire titled “Automation and Artificial Intelligence Integration in Industries Questionnaire (AAIIIQ)” and “Future of Work Questionnaire (FWQ)” using a 4-point Likert scale ranging from Very Low Extent (1) to Very High Extent (4). The questionnaire was distributed within the dry season of November 2023 to February 2024. During this period, 54 copies were distributed, but only 49 were returned. Of these, 2 were not correctly filled out, leaving the researcher with only 47 valid copies that were used for data analysis. To ensure content validity, the questionnaire was reviewed by experts in the field of Organizational Behaviour and Information and Communication Technology (ICT). The reliability of the instrument was assessed using the test-retest method with a sample of 10 participants which were not part of the main sample size, but within the study’s population. The questionnaire was distributed twice at a two-week interval, and the responses were analyzed using the Pearson Product-Moment Correlation (PPMC). A reliability index of .87 was calculated based on the outcomes of this analysis. Mean and standard deviation, was used to answer the research questions, Pearson’s Product-Moment Correlation (PPMC), was utilized to test hypotheses at a significance level of 0.05. The findings underscore the critical importance of considering the effects of AI automation on job security, workforce adaptation, employee well-being, and organizational strategies. Conclusion, the study’s findings underscore the transformative nature of AI automation on the future of work in key industries in Rivers State. By recognizing and responding to these changes, organizations can harness the full potential of AI automation while mitigating its potential negative impacts. The study recommended that organizations should prioritize employee training and development, offering opportunities for upskilling and reskilling to ensure their workforce remains competitive and adaptable to technological advancements.
{"title":"Transforming Key Industries in Rivers State: The Impact of Automation and Artificial Intelligence on the Future of Work","authors":"Lawretta Adaobi Onyekwere","doi":"10.56557/jobari/2024/v30i38763","DOIUrl":"https://doi.org/10.56557/jobari/2024/v30i38763","url":null,"abstract":"The study investigated automation, artificial intelligence and the future of work in key industries in Rivers State. Four research questions and four corresponding hypotheses were formulated to understand how AI automation relationship s job security, skill requirements, workforce adaptation, employee well-being, and work-life balance in these industries. The research uses a correlational research design and the target population comprises employees from key industries in Rivers State, including manufacturing, agriculture, healthcare, and technology sectors. A stratified random sampling technique was employed to draw a sample size of 54 employees across these industries. The self-structured questionnaire titled “Automation and Artificial Intelligence Integration in Industries Questionnaire (AAIIIQ)” and “Future of Work Questionnaire (FWQ)” using a 4-point Likert scale ranging from Very Low Extent (1) to Very High Extent (4). The questionnaire was distributed within the dry season of November 2023 to February 2024. During this period, 54 copies were distributed, but only 49 were returned. Of these, 2 were not correctly filled out, leaving the researcher with only 47 valid copies that were used for data analysis. To ensure content validity, the questionnaire was reviewed by experts in the field of Organizational Behaviour and Information and Communication Technology (ICT). The reliability of the instrument was assessed using the test-retest method with a sample of 10 participants which were not part of the main sample size, but within the study’s population. The questionnaire was distributed twice at a two-week interval, and the responses were analyzed using the Pearson Product-Moment Correlation (PPMC). A reliability index of .87 was calculated based on the outcomes of this analysis. Mean and standard deviation, was used to answer the research questions, Pearson’s Product-Moment Correlation (PPMC), was utilized to test hypotheses at a significance level of 0.05. The findings underscore the critical importance of considering the effects of AI automation on job security, workforce adaptation, employee well-being, and organizational strategies. Conclusion, the study’s findings underscore the transformative nature of AI automation on the future of work in key industries in Rivers State. By recognizing and responding to these changes, organizations can harness the full potential of AI automation while mitigating its potential negative impacts. The study recommended that organizations should prioritize employee training and development, offering opportunities for upskilling and reskilling to ensure their workforce remains competitive and adaptable to technological advancements.","PeriodicalId":119621,"journal":{"name":"Journal of Basic and Applied Research International","volume":" 13","pages":""},"PeriodicalIF":0.0,"publicationDate":"2024-07-06","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"141672494","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 : 2024-05-02DOI: 10.56557/jobari/2024/v30i28675
V. N, K. M, Janani. L. M, Aruna Prabha S
Maize plays a significant role in the agricultural economy. Since, growers of maize have numerous marketing-related issues. The present study is made with an objective to identify the major maize marketing channels and analyze its cost incurred, price spread and efficiency. A well-structured interview schedule was used to collect primary data. Price spread analysis and marketing efficiency of maize marketing channels is estimated using Acharya and Shepard approach. The lowest marketing spread were observed in Channel III which was about 13.56 percent (Rs. 200 per quintal) of the consumer price, due to less intervention of intermediaries. Therefore, Channel III is the most efficient one among the identified marketing channels. Besides, Channel III has the highest marketing efficiency and the farmers should choose their marketing channel with the less number of intermediaries where it helps them attain better income.
玉米在农业经济中发挥着重要作用。由于玉米种植者面临许多与销售相关的问题。本研究旨在确定主要的玉米营销渠道，并分析其产生的成本、价差和效率。研究采用了结构合理的访谈表来收集原始数据。采用 Acharya 和 Shepard 方法对玉米营销渠道的价差分析和营销效率进行了估算。由于中间商干预较少，渠道 III 的销售差价最低，约为消费价格的 13.56%（每公担 200 卢比）。 因此，在已确定的营销渠道中，渠道 III 的效率最高。此外，渠道 III 的营销效率最高，农民应选择中间商数量较少的营销渠道，这有助于他们获得更高的收入。
{"title":"An Economic Analysis of Marketing Efficiency of Maize in Tamil Nadu, India","authors":"V. N, K. M, Janani. L. M, Aruna Prabha S","doi":"10.56557/jobari/2024/v30i28675","DOIUrl":"https://doi.org/10.56557/jobari/2024/v30i28675","url":null,"abstract":"Maize plays a significant role in the agricultural economy. Since, growers of maize have numerous marketing-related issues. The present study is made with an objective to identify the major maize marketing channels and analyze its cost incurred, price spread and efficiency. A well-structured interview schedule was used to collect primary data. Price spread analysis and marketing efficiency of maize marketing channels is estimated using Acharya and Shepard approach. The lowest marketing spread were observed in Channel III which was about 13.56 percent (Rs. 200 per quintal) of the consumer price, due to less intervention of intermediaries. Therefore, Channel III is the most efficient one among the identified marketing channels. Besides, Channel III has the highest marketing efficiency and the farmers should choose their marketing channel with the less number of intermediaries where it helps them attain better income.","PeriodicalId":119621,"journal":{"name":"Journal of Basic and Applied Research International","volume":"5 9","pages":""},"PeriodicalIF":0.0,"publicationDate":"2024-05-02","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"141021804","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 : 2023-12-26DOI: 10.56557/jobari/2023/v29i58476
Deng Hua, Peng Kexin
The outbreak of the epidemic has had a huge impact on people's lives and economies. Research on the medications supply chain during major epidemic events is a major focus of people's attention and an important part of emergency management work, which is related to the vital interests of people and production enterprises. The supply of medications is an important foundation for the smooth implementation of emergency management work. Based on this, this article conducts empirical research on the multi-product two-level medication supply chain of a pharmaceutical company in Shanghai through optimization models. The medication supply chain consists of three warehouses, each equipped with two types of medications, A and B, which need to be transported to seven disaster-stricken medication demand points. Establish a relevant linear programming model to minimize transportation costs, and then use Lingo software to solve the model. The obtained data results are analyzed, the optimal solution is given, and the model is verified to be the optimal result. Meanwhile, a comparative analysis was conducted on the costs of the supply chain optimization strategy and non-optimization strategy. The research results indicate that the optimal solution not only minimizes transportation costs but also has the shortest transportation path, which can transport medications to various affected areas at the fastest speed, avoiding secondary damage caused by medications shortages in affected areas and ensuring smooth emergency management work.
{"title":"Research on Complex Optimization Models and Efficient Algorithms for Medications Supply Chain during Major Epidemic","authors":"Deng Hua, Peng Kexin","doi":"10.56557/jobari/2023/v29i58476","DOIUrl":"https://doi.org/10.56557/jobari/2023/v29i58476","url":null,"abstract":"The outbreak of the epidemic has had a huge impact on people's lives and economies. Research on the medications supply chain during major epidemic events is a major focus of people's attention and an important part of emergency management work, which is related to the vital interests of people and production enterprises. The supply of medications is an important foundation for the smooth implementation of emergency management work. Based on this, this article conducts empirical research on the multi-product two-level medication supply chain of a pharmaceutical company in Shanghai through optimization models. The medication supply chain consists of three warehouses, each equipped with two types of medications, A and B, which need to be transported to seven disaster-stricken medication demand points. Establish a relevant linear programming model to minimize transportation costs, and then use Lingo software to solve the model. The obtained data results are analyzed, the optimal solution is given, and the model is verified to be the optimal result. Meanwhile, a comparative analysis was conducted on the costs of the supply chain optimization strategy and non-optimization strategy. The research results indicate that the optimal solution not only minimizes transportation costs but also has the shortest transportation path, which can transport medications to various affected areas at the fastest speed, avoiding secondary damage caused by medications shortages in affected areas and ensuring smooth emergency management work.","PeriodicalId":119621,"journal":{"name":"Journal of Basic and Applied Research International","volume":"64 S1","pages":""},"PeriodicalIF":0.0,"publicationDate":"2023-12-26","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"139155163","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
The current review compiles the recent trends and future applications of biosensors in many fields of Biotechnology to detect various biological and biochemical entities in the fields of environmental biotechnology, food biotechnology, medical science and agriculture biotechnology. A biosensor is a an analytical or bioreceptor-integrated device that determines the concentration of analyte in a medium and provides quantitative information. The biosensors that monitors the air, soil and water are whole cell-based biosensors that use microbial cell to detect polycyclic aromatic hydrocarbons (PAH), heavy metals, waterborne bacterial pathogens, measure indoor air quality (IAQ), etc. In this review, plant diseases caused by various pathogens are detected by nucleic acid-based affinity biosensors. In this article, authors also focus on medical-based biosensors that monitor the concentration of various biomolecules such as human chorionic gonadotropin hormone (hCG), glucose, etc. to detect pregnancy and other diseases. Apart from this, it also includes food technology and processing-based biosensors to determine and verify the food quality by detecting microbial contaminants, nutrient contents and product freshness by detecting biogenic amines, lactic acid, etc. This review provides new insights into developing certain fascinating and economically interesting models likely to be eco-friendly. GRAPHICAL ABSTRACT
{"title":"Studies on Biosensors- Recent Developments and Future Perspectives on Biotechnological Applications: An Overview","authors":"Garima Shukla, Sachin Vishvakarma, Nidhi Sharma, Shruti Singh, Riya Agarwal, Pooja Jha, Suyash Srivastava, Ghizal Fatima, Amit Mani Tiwari, Pankaj Gupta, Sanjay Mishra","doi":"10.56557/jobari/2023/v29i58472","DOIUrl":"https://doi.org/10.56557/jobari/2023/v29i58472","url":null,"abstract":"The current review compiles the recent trends and future applications of biosensors in many fields of Biotechnology to detect various biological and biochemical entities in the fields of environmental biotechnology, food biotechnology, medical science and agriculture biotechnology. A biosensor is a an analytical or bioreceptor-integrated device that determines the concentration of analyte in a medium and provides quantitative information. The biosensors that monitors the air, soil and water are whole cell-based biosensors that use microbial cell to detect polycyclic aromatic hydrocarbons (PAH), heavy metals, waterborne bacterial pathogens, measure indoor air quality (IAQ), etc. In this review, plant diseases caused by various pathogens are detected by nucleic acid-based affinity biosensors. In this article, authors also focus on medical-based biosensors that monitor the concentration of various biomolecules such as human chorionic gonadotropin hormone (hCG), glucose, etc. to detect pregnancy and other diseases. Apart from this, it also includes food technology and processing-based biosensors to determine and verify the food quality by detecting microbial contaminants, nutrient contents and product freshness by detecting biogenic amines, lactic acid, etc. This review provides new insights into developing certain fascinating and economically interesting models likely to be eco-friendly. GRAPHICAL ABSTRACT","PeriodicalId":119621,"journal":{"name":"Journal of Basic and Applied Research International","volume":"39 6","pages":""},"PeriodicalIF":0.0,"publicationDate":"2023-12-22","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"139163797","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}
Energy theft has emerged as a pressing issue in developing countries, notably in India, Pakistan, and Sri Lanka, threatening the economic stability of these nations. Illicit use of electricity poses significant challenges, and identifying and resolving such theft in real-time applications remains a formidable task. This paper presents a novel approach for detecting energy theft by leveraging Arduino technology and a GSM modem, offering an innovative solution to address this growing problem. Various forms of energy theft, including meter tampering, meter bypassing, and direct hooking from power lines, continue to plague the energy distribution sector in these countries. To combat this issue, the proposed system incorporates Arduino-based hardware and a GSM modem. An LCD display is employed to provide users with real-time data on power consumption, as well as the extent of power theft occurring. Furthermore, this critical information is relayed to the consumer via text messages, which also include details of the distribution transformer involved. This integrated system substantially reduces the need for manual intervention in monitoring and addressing energy theft. The proposed system not only detects and displays instances of energy theft but also proactively informs consumers with critical information, contributing to a more transparent and secure energy distribution network. This innovative solution offers promise in curbing energy theft and promoting a sustainable and reliable energy ecosystem in developing regions.
{"title":"Power Theft Detection with Short Message Service (SMS) Alert and Auto Shutdown","authors":"G. Srivalli, Banthi Sampreeti Reddy, Vennella Patlolla, Dade Sumathi Shree, Shaik Afreen Begum","doi":"10.56557/jobari/2023/v29i48453","DOIUrl":"https://doi.org/10.56557/jobari/2023/v29i48453","url":null,"abstract":"Energy theft has emerged as a pressing issue in developing countries, notably in India, Pakistan, and Sri Lanka, threatening the economic stability of these nations. Illicit use of electricity poses significant challenges, and identifying and resolving such theft in real-time applications remains a formidable task. This paper presents a novel approach for detecting energy theft by leveraging Arduino technology and a GSM modem, offering an innovative solution to address this growing problem. Various forms of energy theft, including meter tampering, meter bypassing, and direct hooking from power lines, continue to plague the energy distribution sector in these countries. To combat this issue, the proposed system incorporates Arduino-based hardware and a GSM modem. An LCD display is employed to provide users with real-time data on power consumption, as well as the extent of power theft occurring. Furthermore, this critical information is relayed to the consumer via text messages, which also include details of the distribution transformer involved. This integrated system substantially reduces the need for manual intervention in monitoring and addressing energy theft. The proposed system not only detects and displays instances of energy theft but also proactively informs consumers with critical information, contributing to a more transparent and secure energy distribution network. This innovative solution offers promise in curbing energy theft and promoting a sustainable and reliable energy ecosystem in developing regions.","PeriodicalId":119621,"journal":{"name":"Journal of Basic and Applied Research International","volume":"36 1","pages":""},"PeriodicalIF":0.0,"publicationDate":"2023-11-30","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"139202029","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 : 2023-11-30DOI: 10.56557/jobari/2023/v29i48455
Martha Hilaria Bartolo-Alemán, Saraí María Martínez-Mendoza, Gerardo Silva-Montes, Vicente Morales-Castillo, Atalía Luna-Pérez, Luis Humberto Robledo-Taboada
Various types of materials and components have been synthesized to assemble respirator-type masks as an alternative to the (stable and durable) KN-95 face mask. Injection-type 3D printers were used to manufacture the components, where the thickness and height of the injection varied, printing time, clamping method and infill density. The morphological analysis (superficial and cross-sectional) was performed by scanning electron microscopy. The degree of filtration of the filters and the mask was determined by a physical test that simulated a human sneeze. The biological characterization was carried out in situ using culture media and observing the growth of pathogenic organisms. The results show the effectiveness of a mask like KN-95 in both biological and physical aspects, as well as greater durability and respect for the environment.
{"title":"Prototype of Alternative Masks to Kn95 Mouth Covers","authors":"Martha Hilaria Bartolo-Alemán, Saraí María Martínez-Mendoza, Gerardo Silva-Montes, Vicente Morales-Castillo, Atalía Luna-Pérez, Luis Humberto Robledo-Taboada","doi":"10.56557/jobari/2023/v29i48455","DOIUrl":"https://doi.org/10.56557/jobari/2023/v29i48455","url":null,"abstract":"Various types of materials and components have been synthesized to assemble respirator-type masks as an alternative to the (stable and durable) KN-95 face mask. Injection-type 3D printers were used to manufacture the components, where the thickness and height of the injection varied, printing time, clamping method and infill density. The morphological analysis (superficial and cross-sectional) was performed by scanning electron microscopy. The degree of filtration of the filters and the mask was determined by a physical test that simulated a human sneeze. The biological characterization was carried out in situ using culture media and observing the growth of pathogenic organisms. The results show the effectiveness of a mask like KN-95 in both biological and physical aspects, as well as greater durability and respect for the environment.","PeriodicalId":119621,"journal":{"name":"Journal of Basic and Applied Research International","volume":" 28","pages":""},"PeriodicalIF":0.0,"publicationDate":"2023-11-30","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"139207340","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 : 2023-11-25DOI: 10.56557/jobari/2023/v29i48440
Umana, Augustine Alphonsus
Studies were carried out during February – August 2022 to investigate the impact of climate change on fisheries resources in Eastern Niger Region of Nigeria. The study area covered was Cross River and Mbo River estuaries. Both face to face, group interview and structured questionnaire were used in the study, likewise the historic data on the annual climatic parameters of temperature, rainfall, comparative moistness and wind speed in the study area were obtained for the region, spanning over a period of 50 years and compared with more recent (10 years ago) for all the climatic factors. Results showed that 44.9% of the respondents indicate that climate change impacted on their fishing infrastructure in the area through damage to boat/canoe, anchor/net and drying hut, damage to fish dying hut, damage to fish processing platforms and damage to fish preservation cages/baskets. Revealing consistent fluctuations in the area for the past 50 years with the following mean temperature values of 26.920C in the year 1986, 26.470C in the year 2012 and 27.120C in the year 2020 respectively. The statistical results reflect that the impacts on fisheries are not alarming and are controllable. On the basis of finding it was concluded that, the climate of Cross River Estuaries fluctuates with its attendant impact on artisanal fisheries in the area. The study noted important correlation among changing climatic apparatus and ecological problems of fisheries in the area.
{"title":"Impact of Climate Change on Fisheries Resources in the Eastern Niger Delta Regions, Nigeria","authors":"Umana, Augustine Alphonsus","doi":"10.56557/jobari/2023/v29i48440","DOIUrl":"https://doi.org/10.56557/jobari/2023/v29i48440","url":null,"abstract":"Studies were carried out during February – August 2022 to investigate the impact of climate change on fisheries resources in Eastern Niger Region of Nigeria. The study area covered was Cross River and Mbo River estuaries. Both face to face, group interview and structured questionnaire were used in the study, likewise the historic data on the annual climatic parameters of temperature, rainfall, comparative moistness and wind speed in the study area were obtained for the region, spanning over a period of 50 years and compared with more recent (10 years ago) for all the climatic factors. Results showed that 44.9% of the respondents indicate that climate change impacted on their fishing infrastructure in the area through damage to boat/canoe, anchor/net and drying hut, damage to fish dying hut, damage to fish processing platforms and damage to fish preservation cages/baskets. Revealing consistent fluctuations in the area for the past 50 years with the following mean temperature values of 26.920C in the year 1986, 26.470C in the year 2012 and 27.120C in the year 2020 respectively. The statistical results reflect that the impacts on fisheries are not alarming and are controllable. On the basis of finding it was concluded that, the climate of Cross River Estuaries fluctuates with its attendant impact on artisanal fisheries in the area. The study noted important correlation among changing climatic apparatus and ecological problems of fisheries in the area.","PeriodicalId":119621,"journal":{"name":"Journal of Basic and Applied Research International","volume":"38 1","pages":""},"PeriodicalIF":0.0,"publicationDate":"2023-11-25","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"139236497","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 : 2023-10-09DOI: 10.56557/jobari/2023/v29i48409
J. N. Ndive, I. A. Obiora-Okafo, O. D. Onukwuli
The treatment of Paint Waste Water, PWW is an important global issue for the minimization of water pollution especially in a developing country like Nigeria. The coagulation–flocculation process using Cactus Oputia Extract, COE as natural coagulant is reported for PWW treatment in the present study. The important process parameters pH, settling time, coagulant dosage and initial concentration were optimized using design of experiments (DOE). A full factorial composite experimental design and response surface methodology (RSM) were used to obtain the optimum values of the parameters. Also utilized in this study were Artificial Neural Network, ANN and Adaptive Neuro Fuzzy Inference System, ANFIS for performance evaluation. Using the numerical optimization technique of the design expert software, a combination of factors which concurrently fulfil the requirements placed on the response variable were determined. The best effluent removal efficiency was predicted to be 89.78% at the optimum values of the process parameters pH 6, settling time 30 mins, coagulant dosage 3 g and initial concentration 1.2 mg/l in this study.
{"title":"Optimization Studies on the Coagulation–Flocculation Process for PWW Treatment Using Cactus oputia Extract: Comparative Studies for Performance Evaluation","authors":"J. N. Ndive, I. A. Obiora-Okafo, O. D. Onukwuli","doi":"10.56557/jobari/2023/v29i48409","DOIUrl":"https://doi.org/10.56557/jobari/2023/v29i48409","url":null,"abstract":"The treatment of Paint Waste Water, PWW is an important global issue for the minimization of water pollution especially in a developing country like Nigeria. The coagulation–flocculation process using Cactus Oputia Extract, COE as natural coagulant is reported for PWW treatment in the present study. The important process parameters pH, settling time, coagulant dosage and initial concentration were optimized using design of experiments (DOE). A full factorial composite experimental design and response surface methodology (RSM) were used to obtain the optimum values of the parameters. Also utilized in this study were Artificial Neural Network, ANN and Adaptive Neuro Fuzzy Inference System, ANFIS for performance evaluation. Using the numerical optimization technique of the design expert software, a combination of factors which concurrently fulfil the requirements placed on the response variable were determined. The best effluent removal efficiency was predicted to be 89.78% at the optimum values of the process parameters pH 6, settling time 30 mins, coagulant dosage 3 g and initial concentration 1.2 mg/l in this study.","PeriodicalId":119621,"journal":{"name":"Journal of Basic and Applied Research International","volume":"121 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2023-10-09","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"135146483","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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