The earth and its environment is currently undergoing changes, which may be natural as a result of the earth’s processes or artificial, as a result of man’s activities that has altered the natural earth processes. Climate change is a result of the alteration of the atmospheric balance which in-turn has diverse effects on the earth’s processes and her inhabitants. The aim of this review is primarily to elaborate the climate change, the causes, economic impact and methods of mitigating climate change. The effect of climate change is massive but this article is targeted towards the economic impact of climate change and methods of eliminating this effect in this area. It is a universal challenge, it therefore requires universal attention. This article is a review work on the previous publications on climate change including journals and other articles that are closely related to this topic, it goes ahead to reveal the current situations and effect of climate change in our society today and scientifically proven means of mitigating such effects. Fossil fuels are by far the largest contributor to global climate change, accounting for over 75% of global greenhouse gas emissions and 90% of all carbon emissions. Human activities have warmed the atmosphere, ocean and land, producing widespread and rapid changes in the atmosphere, ocean, cryosphere and biosphere. The methods of mitigating climate change are primarily by reducing the use of fossil fuels in order to stop adding more CO2, Nitrous acid and methane (which are all greenhouse gases) to the atmosphere, by using more of renewable energy such as solar energy, geothermal energy, and hydroelectricity. Practicing better farming systems to improve crop yield other than using harmful chemicals. Implementing policies against gas flaring, faulty automobiles discharging high amounts of carbon into the atmosphere, bush-burning, deforestation etc, should be practiced more.
{"title":"Climate change, causes, economic impact and mitigation","authors":"Nwaneri Klainsman Chukwuemeka, Ayub Hassan Ulusow, Orume Maryam Sylvanus","doi":"10.53430/ijsru.2024.8.1.0043","DOIUrl":"https://doi.org/10.53430/ijsru.2024.8.1.0043","url":null,"abstract":"The earth and its environment is currently undergoing changes, which may be natural as a result of the earth’s processes or artificial, as a result of man’s activities that has altered the natural earth processes. Climate change is a result of the alteration of the atmospheric balance which in-turn has diverse effects on the earth’s processes and her inhabitants. The aim of this review is primarily to elaborate the climate change, the causes, economic impact and methods of mitigating climate change. The effect of climate change is massive but this article is targeted towards the economic impact of climate change and methods of eliminating this effect in this area. It is a universal challenge, it therefore requires universal attention. This article is a review work on the previous publications on climate change including journals and other articles that are closely related to this topic, it goes ahead to reveal the current situations and effect of climate change in our society today and scientifically proven means of mitigating such effects. Fossil fuels are by far the largest contributor to global climate change, accounting for over 75% of global greenhouse gas emissions and 90% of all carbon emissions. Human activities have warmed the atmosphere, ocean and land, producing widespread and rapid changes in the atmosphere, ocean, cryosphere and biosphere. The methods of mitigating climate change are primarily by reducing the use of fossil fuels in order to stop adding more CO2, Nitrous acid and methane (which are all greenhouse gases) to the atmosphere, by using more of renewable energy such as solar energy, geothermal energy, and hydroelectricity. Practicing better farming systems to improve crop yield other than using harmful chemicals. Implementing policies against gas flaring, faulty automobiles discharging high amounts of carbon into the atmosphere, bush-burning, deforestation etc, should be practiced more.","PeriodicalId":394579,"journal":{"name":"International Journal of Scientific Research Updates","volume":"4 8","pages":""},"PeriodicalIF":0.0,"publicationDate":"2024-07-30","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"141795741","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: 10.53430/ijsru.2024.8.1.0042
Motunrayo Oluremi Ibiyemi, David Olanrewaju Olutimehin
This review paper assesses the impact of autonomous vehicles (AVs) on enhancing the efficiency of supply chains, aiming to synthesize existing research and identify future research directions. Through a comprehensive analysis of literature spanning technological, economic, and regulatory perspectives, this paper maps the current landscape of AV integration in logistics. The review finds that AVs offer substantial improvements in supply chain efficiency through continuous operation and reduced human error, leading to decreased costs and improved delivery timelines. It details the potential for up to 30% enhancement in logistical operations with AV adoption. Critical barriers such as technological challenges, regulatory concerns, and cybersecurity risks are also discussed. Conclusively, the paper argues that while AVs present a promising avenue for revolutionizing supply chain management, their widespread adoption depends on overcoming existing barriers. It calls for targeted research into robust AV systems, supportive policy frameworks, and stakeholder engagement strategies to fully realize their benefits.
{"title":"Revolutionizing logistics: The impact of autonomous vehicles on supply chain efficiency","authors":"Motunrayo Oluremi Ibiyemi, David Olanrewaju Olutimehin","doi":"10.53430/ijsru.2024.8.1.0042","DOIUrl":"https://doi.org/10.53430/ijsru.2024.8.1.0042","url":null,"abstract":"This review paper assesses the impact of autonomous vehicles (AVs) on enhancing the efficiency of supply chains, aiming to synthesize existing research and identify future research directions. Through a comprehensive analysis of literature spanning technological, economic, and regulatory perspectives, this paper maps the current landscape of AV integration in logistics. The review finds that AVs offer substantial improvements in supply chain efficiency through continuous operation and reduced human error, leading to decreased costs and improved delivery timelines. It details the potential for up to 30% enhancement in logistical operations with AV adoption. Critical barriers such as technological challenges, regulatory concerns, and cybersecurity risks are also discussed. Conclusively, the paper argues that while AVs present a promising avenue for revolutionizing supply chain management, their widespread adoption depends on overcoming existing barriers. It calls for targeted research into robust AV systems, supportive policy frameworks, and stakeholder engagement strategies to fully realize their benefits.","PeriodicalId":394579,"journal":{"name":"International Journal of Scientific Research Updates","volume":"1 6","pages":""},"PeriodicalIF":0.0,"publicationDate":"2024-07-30","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"141795988","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: 10.53430/ijsru.2024.7.2.0041
Janet Aderonke Olaboye, Chukwudi Cosmos Maha, Tolulope Olagoke Kolawole, Samira Abdul
This integrative study explores the pivotal role of big data in enhancing epidemic preparedness and response strategies in Southeast Asia. The region, characterized by its diverse socio-economic landscape and frequent exposure to infectious disease threats, necessitates innovative approaches to mitigate the impact of epidemics. Big data, with its vast and varied sources, offers unprecedented opportunities to revolutionize epidemic surveillance, prediction, and management. Drawing on a comprehensive review of literature and case studies, this paper delves into the multifaceted applications of big data in epidemic preparedness. It examines the utilization of diverse data sources, including social media, mobile phones, and IoT devices, for real-time monitoring of disease outbreaks and trends. Moreover, it elucidates the role of advanced analytics techniques, such as machine learning and data visualization, in informing timely and targeted response strategies. Furthermore, this study underscores the importance of collaborative efforts and partnerships in leveraging big data for epidemic preparedness. It explores successful initiatives that have demonstrated the effectiveness of data sharing and interdisciplinary collaboration in enhancing epidemic response capabilities across borders. However, the integration of big data into epidemic preparedness initiatives presents various challenges, including data quality issues, privacy concerns, and the need for robust infrastructure and expertise. Addressing these challenges requires concerted efforts from governments, healthcare organizations, and the private sector. In conclusion, this study advocates for continued research, investment, and policy support to harness the full potential of big data in epidemic preparedness. By embracing innovative technologies and fostering collaboration, Southeast Asia can build resilient health systems capable of effectively combating emerging infectious disease threats.
{"title":"Big data for epidemic preparedness in southeast Asia: An integrative study","authors":"Janet Aderonke Olaboye, Chukwudi Cosmos Maha, Tolulope Olagoke Kolawole, Samira Abdul","doi":"10.53430/ijsru.2024.7.2.0041","DOIUrl":"https://doi.org/10.53430/ijsru.2024.7.2.0041","url":null,"abstract":"This integrative study explores the pivotal role of big data in enhancing epidemic preparedness and response strategies in Southeast Asia. The region, characterized by its diverse socio-economic landscape and frequent exposure to infectious disease threats, necessitates innovative approaches to mitigate the impact of epidemics. Big data, with its vast and varied sources, offers unprecedented opportunities to revolutionize epidemic surveillance, prediction, and management. Drawing on a comprehensive review of literature and case studies, this paper delves into the multifaceted applications of big data in epidemic preparedness. It examines the utilization of diverse data sources, including social media, mobile phones, and IoT devices, for real-time monitoring of disease outbreaks and trends. Moreover, it elucidates the role of advanced analytics techniques, such as machine learning and data visualization, in informing timely and targeted response strategies. Furthermore, this study underscores the importance of collaborative efforts and partnerships in leveraging big data for epidemic preparedness. It explores successful initiatives that have demonstrated the effectiveness of data sharing and interdisciplinary collaboration in enhancing epidemic response capabilities across borders. However, the integration of big data into epidemic preparedness initiatives presents various challenges, including data quality issues, privacy concerns, and the need for robust infrastructure and expertise. Addressing these challenges requires concerted efforts from governments, healthcare organizations, and the private sector. In conclusion, this study advocates for continued research, investment, and policy support to harness the full potential of big data in epidemic preparedness. By embracing innovative technologies and fostering collaboration, Southeast Asia can build resilient health systems capable of effectively combating emerging infectious disease threats.","PeriodicalId":394579,"journal":{"name":"International Journal of Scientific Research Updates","volume":"5 6","pages":""},"PeriodicalIF":0.0,"publicationDate":"2024-07-30","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"141796084","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 review paper critically examines the transformative impact of blockchain technology on auditing processes. Through a comprehensive analysis of existing literature, it elucidates how blockchain can enhance audit quality, mitigate fraud, ensure data veracity, and navigate the complex landscape of regulatory compliance and ethical considerations. The review highlights the early stages of blockchain adoption in auditing and the evolving nature of the technology, emphasizing the need for further empirical research and case studies. It also underscores the importance of regulators, auditors, and technology experts collaborating to develop comprehensive guidelines and standards for responsible blockchain integration. The paper contributes to the academic discourse by bridging the gap between traditional auditing methodologies and the emerging blockchain paradigm, offering valuable insights for auditors, regulatory bodies, policymakers, and organizations.
{"title":"The role of blockchain in auditing processes: A review and future perspectives","authors":"Maxwell Nana Ameyaw, Courage Idemudia, Toluwalase Vanessa Iyelolu","doi":"10.53430/ijsru.2024.8.1.0045","DOIUrl":"https://doi.org/10.53430/ijsru.2024.8.1.0045","url":null,"abstract":"This review paper critically examines the transformative impact of blockchain technology on auditing processes. Through a comprehensive analysis of existing literature, it elucidates how blockchain can enhance audit quality, mitigate fraud, ensure data veracity, and navigate the complex landscape of regulatory compliance and ethical considerations. The review highlights the early stages of blockchain adoption in auditing and the evolving nature of the technology, emphasizing the need for further empirical research and case studies. It also underscores the importance of regulators, auditors, and technology experts collaborating to develop comprehensive guidelines and standards for responsible blockchain integration. The paper contributes to the academic discourse by bridging the gap between traditional auditing methodologies and the emerging blockchain paradigm, offering valuable insights for auditors, regulatory bodies, policymakers, and organizations.","PeriodicalId":394579,"journal":{"name":"International Journal of Scientific Research Updates","volume":"8 47","pages":""},"PeriodicalIF":0.0,"publicationDate":"2024-07-30","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"141795688","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2024-03-30DOI: 10.53430/ijsru.2024.7.1.0032
Aini Aini, Ida Bagus Made Agung Dwijatenaya
This research aims to analyze the contribution and projection of corn food needs. Case study in Kutai Kartanegara Regency, Indonesia. The data used is secondary data sourced from the Kutai Kartanegara Regency Agriculture and Livestock Service and the Central Statistics Agency. The analytical tools used are for sub-district contributions in meeting corn food needs using cross-table analysis, for projections using simple regression analysis, and for projections of needs through population growth using geometric population growth rates. The research results show that the difference between production and corn needs without the National Capital of the Archipelago (IKN), or with the presence of IKN, is a surplus. The contribution of Kutai Kartanegara Regency in meeting the needs of IKN corn, both assuming a population of 1.5 million people and 4.5 million people, has been able to contribute in the high category. Six example sub-districts have also been able to contribute with high criteria. Samboja Sub-District contributes to the need for high category IKN corn. Muara Jawa, Sebulu and Muara Kaman Sub-districts contributed in the low category. Meanwhile, Loa Janan and Tenggarong Seberang Sub-districts have not been able to contribute.
{"title":"Contribution and projections of corn food needs: Emperical evidence in Kutai Kartanegara Regency, Indonesia","authors":"Aini Aini, Ida Bagus Made Agung Dwijatenaya","doi":"10.53430/ijsru.2024.7.1.0032","DOIUrl":"https://doi.org/10.53430/ijsru.2024.7.1.0032","url":null,"abstract":"This research aims to analyze the contribution and projection of corn food needs. Case study in Kutai Kartanegara Regency, Indonesia. The data used is secondary data sourced from the Kutai Kartanegara Regency Agriculture and Livestock Service and the Central Statistics Agency. The analytical tools used are for sub-district contributions in meeting corn food needs using cross-table analysis, for projections using simple regression analysis, and for projections of needs through population growth using geometric population growth rates. The research results show that the difference between production and corn needs without the National Capital of the Archipelago (IKN), or with the presence of IKN, is a surplus. The contribution of Kutai Kartanegara Regency in meeting the needs of IKN corn, both assuming a population of 1.5 million people and 4.5 million people, has been able to contribute in the high category. Six example sub-districts have also been able to contribute with high criteria. Samboja Sub-District contributes to the need for high category IKN corn. Muara Jawa, Sebulu and Muara Kaman Sub-districts contributed in the low category. Meanwhile, Loa Janan and Tenggarong Seberang Sub-districts have not been able to contribute.","PeriodicalId":394579,"journal":{"name":"International Journal of Scientific Research Updates","volume":"53 38","pages":""},"PeriodicalIF":0.0,"publicationDate":"2024-03-30","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"140363049","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2024-03-30DOI: 10.53430/ijsru.2024.7.1.0030
Tolulope Esther Edunjobi, Opeyemi Abayomi Odejide
This paper delves into theoretical frameworks in AI for credit risk assessment, exploring how these frameworks enhance banking efficiency and accuracy. It discusses various AI techniques such as machine learning algorithms, neural networks, and natural language processing, and their application in credit risk assessment. Furthermore, it examines the challenges and opportunities presented by these frameworks, highlighting their potential to revolutionize the banking sector. Revolutionizing Credit Risk Assessment in Banking, The Role of Artificial Intelligence In the dynamic realm of finance, the assessment of credit risk stands as a fundamental pillar for banking institutions. Traditionally, this process has heavily relied on statistical models and historical data. However, the emergence of Artificial Intelligence (AI) has catalyzed a transformative shift in this domain. This paper elucidates the theoretical underpinnings of AI frameworks employed in credit risk assessment and investigates their profound implications for enhancing the efficiency and accuracy of banking operations. The exploration begins by delineating various theoretical frameworks in AI pertinent to credit risk assessment. Leveraging machine learning algorithms, neural networks, and natural language processing techniques, these frameworks offer innovative approaches to evaluate creditworthiness. Unlike conventional methods, AI-driven models possess the capacity to ingest vast datasets, identify intricate patterns, and adapt dynamically to evolving market dynamics. Such capabilities empower banks to make more informed and timely decisions regarding lending activities. Moreover, this paper delves into the practical application of AI techniques in credit risk assessment. Through case studies and empirical evidence, it elucidates how these advanced methodologies enable banks to mitigate risks while maximizing profitability. By harnessing AI, financial institutions can optimize credit scoring processes, identify potential defaulters with greater accuracy, and customize lending terms based on individual risk profiles. Additionally, AI facilitates real-time monitoring of credit portfolios, allowing proactive risk management and timely interventions to prevent adverse outcomes.
{"title":"Theoretical frameworks in AI for credit risk assessment: Towards banking efficiency and accuracy","authors":"Tolulope Esther Edunjobi, Opeyemi Abayomi Odejide","doi":"10.53430/ijsru.2024.7.1.0030","DOIUrl":"https://doi.org/10.53430/ijsru.2024.7.1.0030","url":null,"abstract":"This paper delves into theoretical frameworks in AI for credit risk assessment, exploring how these frameworks enhance banking efficiency and accuracy. It discusses various AI techniques such as machine learning algorithms, neural networks, and natural language processing, and their application in credit risk assessment. Furthermore, it examines the challenges and opportunities presented by these frameworks, highlighting their potential to revolutionize the banking sector. Revolutionizing Credit Risk Assessment in Banking, The Role of Artificial Intelligence In the dynamic realm of finance, the assessment of credit risk stands as a fundamental pillar for banking institutions. Traditionally, this process has heavily relied on statistical models and historical data. However, the emergence of Artificial Intelligence (AI) has catalyzed a transformative shift in this domain. This paper elucidates the theoretical underpinnings of AI frameworks employed in credit risk assessment and investigates their profound implications for enhancing the efficiency and accuracy of banking operations. The exploration begins by delineating various theoretical frameworks in AI pertinent to credit risk assessment. Leveraging machine learning algorithms, neural networks, and natural language processing techniques, these frameworks offer innovative approaches to evaluate creditworthiness. Unlike conventional methods, AI-driven models possess the capacity to ingest vast datasets, identify intricate patterns, and adapt dynamically to evolving market dynamics. Such capabilities empower banks to make more informed and timely decisions regarding lending activities. Moreover, this paper delves into the practical application of AI techniques in credit risk assessment. Through case studies and empirical evidence, it elucidates how these advanced methodologies enable banks to mitigate risks while maximizing profitability. By harnessing AI, financial institutions can optimize credit scoring processes, identify potential defaulters with greater accuracy, and customize lending terms based on individual risk profiles. Additionally, AI facilitates real-time monitoring of credit portfolios, allowing proactive risk management and timely interventions to prevent adverse outcomes.","PeriodicalId":394579,"journal":{"name":"International Journal of Scientific Research Updates","volume":"42 14","pages":""},"PeriodicalIF":0.0,"publicationDate":"2024-03-30","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"140361920","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2024-02-28DOI: 10.53430/ijsru.2024.7.1.0139
Eugenie Lum Chi, Ahure Dinnah, Banarbas A. Kyenge
The aim of this study was to produce and evaluate the quality characteristics (physicochemical and sensory) of yoghurt from soy-yellow corn milk spiced with ginger. 5.5 g of powdered ginger was used to spice the yoghurts. Fresh cow milk was used for the production of the control yoghurt sample. Soy milk and yellow corn milk was extracted from soy beans and fresh yellow corn. Eight yoghurt samples were produced and coded L0 (control, 100:0), L1 (100:0), L2 (100:0), L3 (90:10:5.5), L4 (80:20:5.5), L5 (70:30:5.5), L6 (60:40:5.5), and L7 (50:50:5.5); cow milk, soy milk, yellow corn milk and soy-yellow corn milk spiced with ginger variations respectively. The physicochemical and sensory properties of the yoghurt samples were analysed. The results of the physico-chemical analysis revealed pH values of 4.55 to 4.70, total soluble solids, TSS: 8.76 to12.77%, Total Titratable Acidity, TTA: 0.48 to 0.56%, syneresis: 2.4 to 3.4%, moisture: 85.62 to 90.33%, fat contents: 1.87 to 3.00%, protein: 2.23 to 4.6%, fibre: 0 to 0.25%, ash: 0.28 to 0.83%, and carbohydrate values from 3.69 to 8.05%.
{"title":"Physicochemical and sensory properties of soy-yellow corn yoghurt spiced with ginger","authors":"Eugenie Lum Chi, Ahure Dinnah, Banarbas A. Kyenge","doi":"10.53430/ijsru.2024.7.1.0139","DOIUrl":"https://doi.org/10.53430/ijsru.2024.7.1.0139","url":null,"abstract":"The aim of this study was to produce and evaluate the quality characteristics (physicochemical and sensory) of yoghurt from soy-yellow corn milk spiced with ginger. 5.5 g of powdered ginger was used to spice the yoghurts. Fresh cow milk was used for the production of the control yoghurt sample. Soy milk and yellow corn milk was extracted from soy beans and fresh yellow corn. Eight yoghurt samples were produced and coded L0 (control, 100:0), L1 (100:0), L2 (100:0), L3 (90:10:5.5), L4 (80:20:5.5), L5 (70:30:5.5), L6 (60:40:5.5), and L7 (50:50:5.5); cow milk, soy milk, yellow corn milk and soy-yellow corn milk spiced with ginger variations respectively. The physicochemical and sensory properties of the yoghurt samples were analysed. The results of the physico-chemical analysis revealed pH values of 4.55 to 4.70, total soluble solids, TSS: 8.76 to12.77%, Total Titratable Acidity, TTA: 0.48 to 0.56%, syneresis: 2.4 to 3.4%, moisture: 85.62 to 90.33%, fat contents: 1.87 to 3.00%, protein: 2.23 to 4.6%, fibre: 0 to 0.25%, ash: 0.28 to 0.83%, and carbohydrate values from 3.69 to 8.05%.","PeriodicalId":394579,"journal":{"name":"International Journal of Scientific Research Updates","volume":"37 5","pages":""},"PeriodicalIF":0.0,"publicationDate":"2024-02-28","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"140420570","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2024-02-28DOI: 10.53430/ijsru.2024.7.1.0021
H. Blaise Nguendo Yongsi
Background: Residents of Douala including Dibamba watershed collect water from various points to fulfill their freshwater needs. However, it is known that many microorganisms, including parasites, bacteria, viruses, and even alga, are present in water where they form a complex ecosystem. These microorganisms are held responsible for most of the contamination in drinking water and related diseases that threaten health of many individuals. Objectives: This study aims to determine the bacteriological and physicochemical quality of drinking water used by city dwellers in the Dibamba watershed. Methods: A cross-sectional study was conducted in different communities living in the watershed. A total of 58 drinking water samples were randomly collected from a variety of water resources. The analyses were performed for temperature, Ph, and conductivity; and for bacterial parameters, namely, to trace the presence of organisms and opportunistic pathogens indicative of fecal contamination. Results: Water used for consumption purposes have an acidic pH, low dissolved oxygen content, and shows high levels of microorganisms, testifying water pollution due to domestic wastewater discharged without any prior treatment, and coming from domestic, livestock and agricultural activities carried out in the watershed. These contaminated waters contain pathogenic species (Shigella, Salmonella, E.Coli, etc.) suspected of being the cause of waterborne infectious diseases in the watershed.. Conclusion: The results of our study show that 95% of tested drinking water samples are of low microbiological quality. They neither fulfill requirements of World Health Organization standards, nor fit for human consumption. Therefore, Decision-makers and Stake holders should implement practical actions to facilitate access to safe and sufficient drinking water in the watershed.
{"title":"Assessment of drinking-water quality in the Dibamba watershed (Douala-Cameroon","authors":"H. Blaise Nguendo Yongsi","doi":"10.53430/ijsru.2024.7.1.0021","DOIUrl":"https://doi.org/10.53430/ijsru.2024.7.1.0021","url":null,"abstract":"Background: Residents of Douala including Dibamba watershed collect water from various points to fulfill their freshwater needs. However, it is known that many microorganisms, including parasites, bacteria, viruses, and even alga, are present in water where they form a complex ecosystem. These microorganisms are held responsible for most of the contamination in drinking water and related diseases that threaten health of many individuals. Objectives: This study aims to determine the bacteriological and physicochemical quality of drinking water used by city dwellers in the Dibamba watershed. Methods: A cross-sectional study was conducted in different communities living in the watershed. A total of 58 drinking water samples were randomly collected from a variety of water resources. The analyses were performed for temperature, Ph, and conductivity; and for bacterial parameters, namely, to trace the presence of organisms and opportunistic pathogens indicative of fecal contamination. Results: Water used for consumption purposes have an acidic pH, low dissolved oxygen content, and shows high levels of microorganisms, testifying water pollution due to domestic wastewater discharged without any prior treatment, and coming from domestic, livestock and agricultural activities carried out in the watershed. These contaminated waters contain pathogenic species (Shigella, Salmonella, E.Coli, etc.) suspected of being the cause of waterborne infectious diseases in the watershed.. Conclusion: The results of our study show that 95% of tested drinking water samples are of low microbiological quality. They neither fulfill requirements of World Health Organization standards, nor fit for human consumption. Therefore, Decision-makers and Stake holders should implement practical actions to facilitate access to safe and sufficient drinking water in the watershed.","PeriodicalId":394579,"journal":{"name":"International Journal of Scientific Research Updates","volume":"96 1","pages":""},"PeriodicalIF":0.0,"publicationDate":"2024-02-28","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"140421867","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}
Human resources are ready to have a positive impact on development. One way to prepare prospective workers is to take part in an internship program. This research aims to analyze the effectiveness of apprenticeship programs in preparing workers to enter the world of work. This research design uses a qualitative descriptive research design. This research was conducted at the Manpower and Transmigration Service Kutai Barat Regency East Kalimantan Province Indonesia. Data was collected by in-depth interviews, observation and literature study. The data collected is primary data through key persons and secondary data. This research was carried out from July to October 2023. The results of this research are that the effectiveness of the apprenticeship program in preparing prospective workers to enter the world of work at the Kutai Barat Regency Manpower and Transmigration Service has not been effective. The recommendations submitted are; There needs to be a consistent socialization process, and the age limits set should be reviewed because there are still many productive, educated pre-workers who have the potential to work. The completeness of facilities in the form of adequate training facilities and infrastructure needs to be improved in quality and quantity.
{"title":"Effectiveness of worker apprenticeship programs for entering the world of work","authors":"Raymundus Rizky Kristianto, Sabran Sabran, Musmuliadi Musmuliadi","doi":"10.53430/ijsru.2024.7.1.0025","DOIUrl":"https://doi.org/10.53430/ijsru.2024.7.1.0025","url":null,"abstract":"Human resources are ready to have a positive impact on development. One way to prepare prospective workers is to take part in an internship program. This research aims to analyze the effectiveness of apprenticeship programs in preparing workers to enter the world of work. This research design uses a qualitative descriptive research design. This research was conducted at the Manpower and Transmigration Service Kutai Barat Regency East Kalimantan Province Indonesia. Data was collected by in-depth interviews, observation and literature study. The data collected is primary data through key persons and secondary data. This research was carried out from July to October 2023. The results of this research are that the effectiveness of the apprenticeship program in preparing prospective workers to enter the world of work at the Kutai Barat Regency Manpower and Transmigration Service has not been effective. The recommendations submitted are; There needs to be a consistent socialization process, and the age limits set should be reviewed because there are still many productive, educated pre-workers who have the potential to work. The completeness of facilities in the form of adequate training facilities and infrastructure needs to be improved in quality and quantity.","PeriodicalId":394579,"journal":{"name":"International Journal of Scientific Research Updates","volume":"14 6","pages":""},"PeriodicalIF":0.0,"publicationDate":"2024-02-28","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"140422171","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2024-02-28DOI: 10.53430/ijsru.2024.7.1.0027
Edison Edison, Dharia Renate
The supply responsiveness of potatoes under risk in Jambi province is evaluated by applying an analysis of the lagged acreage function. The characteristics of crop production can explain sustainable decision-making allocations between realized inputs and outputs, taking time lags into account. The objective of the study is to analyze the supply responsiveness of potatoes under risk. Firstly, a production function in lag is estimated from empirically expected variables. Evaluating parameters found that risky variables explained the crucial role of farmers' strategies in decision-making. The findings explain that potato farmers appear to be risk-averse. Hence, the point of government policies has to take a look at risk management, and also the dynamic point of view. In the end, to test the effectual or not of government policy such as the potato farming program, risky variables are going to explain the effect and also impact the latter result. For example, minimizing the effect of the risk variable will increase the acreage, which implies a shift in the supply curve.
{"title":"Supply responsiveness of potatoes under risk in Jambi Province","authors":"Edison Edison, Dharia Renate","doi":"10.53430/ijsru.2024.7.1.0027","DOIUrl":"https://doi.org/10.53430/ijsru.2024.7.1.0027","url":null,"abstract":"The supply responsiveness of potatoes under risk in Jambi province is evaluated by applying an analysis of the lagged acreage function. The characteristics of crop production can explain sustainable decision-making allocations between realized inputs and outputs, taking time lags into account. The objective of the study is to analyze the supply responsiveness of potatoes under risk. Firstly, a production function in lag is estimated from empirically expected variables. Evaluating parameters found that risky variables explained the crucial role of farmers' strategies in decision-making. The findings explain that potato farmers appear to be risk-averse. Hence, the point of government policies has to take a look at risk management, and also the dynamic point of view. In the end, to test the effectual or not of government policy such as the potato farming program, risky variables are going to explain the effect and also impact the latter result. For example, minimizing the effect of the risk variable will increase the acreage, which implies a shift in the supply curve.","PeriodicalId":394579,"journal":{"name":"International Journal of Scientific Research Updates","volume":"21 5","pages":""},"PeriodicalIF":0.0,"publicationDate":"2024-02-28","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"140420489","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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