Archives of current research international最新文献

{"title":"Analysis of Physicochemical Properties of Corn Starch Based Composite Biodegradable Cups Influenced by Ultrasonication Pretreatment of Casting Solutions","authors":"Ankit Deshmukh, G. Talwar","doi":"10.9734/acri/2024/v24i6813","DOIUrl":"https://doi.org/10.9734/acri/2024/v24i6813","url":null,"abstract":"Biodegradable cup is made using a casting solution which is made up of mixture of corn starch (7%), whey protein concentrate(3%), carboxy methyl cellulose (CMC) (2%), and glycerol (4%). This research work focused on analysing the effect of ultrasonication treatment with varying amplitude levels (0%, 20%, 40%, and 60%) and time durations (0, 1, 2, 4, 8, and 16 minutes) on the casting solution for the preparation of biodegradable cups. The study examined the impact of ultrasonication on physical properties such as viscosity, thickness, density and chemical properties such as solubility in water, opacity of the cups. The viscosity of the casting solution decreased as ultrasonication treatment intensity increased, resulting in a decrease in the thickness of the cups. Higher ultrasonication intensity also led to an increase in solubility of cup samples in water. The density of cups, produced through the application of ultrasonication during the preparation process, exhibited an augmentation with elevated ultrasonication intensity and prolonged treatment duration. Ultrasonication treatment caused a decrease in opacity, resulting in a more transparent cup material. Overall, the findings indicate that ultrasonication may be used to streamline the preparation process while enhancing the physical characteristics of biodegradable cups.","PeriodicalId":486386,"journal":{"name":"Archives of current research international","volume":"4 1","pages":""},"PeriodicalIF":0.0,"publicationDate":"2024-08-10","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"141921093","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}

{"title":"Multidimensional Scaling Method and Some Practical Applications","authors":"B. Manjunatha., Appaji Pundalik Naik, K. R. Mahendra, M. S., G. H., N. R. Kiran, Damodhara G. N., Karthik R.","doi":"10.9734/acri/2024/v24i6814","DOIUrl":"https://doi.org/10.9734/acri/2024/v24i6814","url":null,"abstract":"Multi-Dimensional Scaling (MDS) is a data visualization method that identifies clusters of points by representing the distances or dissimilarities between sets of objects in a lower-dimensional space. This paper explores the theoretical concepts of MDS, various methods of implementation, and the analytical processes involved. Emphasis is placed on the \"Stress\" function, a goodness-of-fit metric that quantifies the discrepancy between distances in high-dimensional and lower-dimensional spaces. Practical examples and detailed procedures for implementing MDS using MS-Excel and R are provided to enhance understanding. The paper also discusses the use of Scree-plots for determining the optimal number of dimensions. Applications of MDS in different fields, including marketing, ecology, molecular biology, and social networks, are presented with examples on Perceptions of Nations data and Morse code confusion data. Additionally, as a significant contribution, a case study on factors affecting agricultural productivity is included. The versatility and utility of MDS in simplifying complex data and facilitating better decision-making are demonstrated through these practical applications and software implementations.","PeriodicalId":486386,"journal":{"name":"Archives of current research international","volume":"10 18","pages":""},"PeriodicalIF":0.0,"publicationDate":"2024-08-10","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"141919839","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}

{"title":"Multidimensional Scaling Method and Some Practical Applications","authors":"B. Manjunatha., Appaji Pundalik Naik, K. R. Mahendra, M. S., G. H., N. R. Kiran, Damodhara G. N., Karthik R.","doi":"10.9734/acri/2024/v24i6814","DOIUrl":"https://doi.org/10.9734/acri/2024/v24i6814","url":null,"abstract":"Multi-Dimensional Scaling (MDS) is a data visualization method that identifies clusters of points by representing the distances or dissimilarities between sets of objects in a lower-dimensional space. This paper explores the theoretical concepts of MDS, various methods of implementation, and the analytical processes involved. Emphasis is placed on the \"Stress\" function, a goodness-of-fit metric that quantifies the discrepancy between distances in high-dimensional and lower-dimensional spaces. Practical examples and detailed procedures for implementing MDS using MS-Excel and R are provided to enhance understanding. The paper also discusses the use of Scree-plots for determining the optimal number of dimensions. Applications of MDS in different fields, including marketing, ecology, molecular biology, and social networks, are presented with examples on Perceptions of Nations data and Morse code confusion data. Additionally, as a significant contribution, a case study on factors affecting agricultural productivity is included. The versatility and utility of MDS in simplifying complex data and facilitating better decision-making are demonstrated through these practical applications and software implementations.","PeriodicalId":486386,"journal":{"name":"Archives of current research international","volume":"4 3","pages":""},"PeriodicalIF":0.0,"publicationDate":"2024-08-10","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"141919349","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}

{"title":"The Influence of Socio-demographic Variables on Coping Strategies for Stress and Depression among Lecturers in Selected Universities of Ogun State, Nigeria","authors":"Oluwaseyi Bewaji, O. Ekeagwu","doi":"10.9734/acri/2024/v24i6812","DOIUrl":"https://doi.org/10.9734/acri/2024/v24i6812","url":null,"abstract":"Aim: This research investigated the relationship between socio-demographic factors and coping mechanisms for stress and depression among lecturers in selected universities in Ogun State, Nigeria. Sample: A sample population of 285 lecturers from three universities participated in the study. \u0000Place and Duration: The study was conducted at three purposively selected universities in Ogun State, Nigeria. Methodology: A total of 285 lecturers participated in the study, representing a response rate of 92%. Data were collected using questionnaires distributed physically and online. Socio-demographic variables such as age, gender, educational level, type of university, academic rank, and years of service were assessed, alongside coping mechanisms for stress and depression. \u0000Results: Analysis revealed a diverse range of socio-demographic characteristics within the sample. The study found a moderate utilization of adaptive coping mechanisms for stress and depression, while the prevalence of maladaptive coping strategies remained low. Significant correlations emerged between socio-demographic variables such as age, gender, education level, and academic rank, and both adaptive and maladaptive coping strategies for stress. Additionally, age and gender demonstrated significant associations with coping strategies for depression. \u0000Conclusion: These findings underscored the pivotal role of socio-demographic factors in shaping the frequency and nature of coping mechanisms adopted by lecturers. Implications for the design of targeted support interventions within academic environments were discussed. \u0000Recommendations: Universities should prioritize implementing policies and training programs that promote adaptive coping mechanisms for stress and depression among lecturers, fostering a supportive environment that enhances their well-being, resilience, and professional effectiveness.","PeriodicalId":486386,"journal":{"name":"Archives of current research international","volume":"46 43","pages":""},"PeriodicalIF":0.0,"publicationDate":"2024-08-09","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"141924293","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}

{"title":"Financial Reporting Revolution: How it Integration Drives Efficiency and Accuracy","authors":"T. Kipilimba","doi":"10.9734/acri/2024/v24i6811","DOIUrl":"https://doi.org/10.9734/acri/2024/v24i6811","url":null,"abstract":"Aims: This study investigated the transformative impact of IT integration on financial reporting, examining how organizations leverage advanced technologies to streamline operations, enhance data accuracy, and improve strategic decision-making. \u0000Methodology: Through a quantitative analysis of 100 respondents representing diverse sectors, including manufacturing, finance, healthcare, IT, retail, and others, this research explored key indicators such as reduction in manual errors, improvement in coordination and collaboration, and effectiveness of training programs post-IT integration. \u0000Results: Findings revealed a significant reduction in manual errors, with 60% of respondents reporting a notable decrease, attributing it to automated data validation and streamlined workflows. Moreover, 40% of participants note a significant improvement in coordination and collaboration across departments, facilitated by centralized data access and real-time communication tools. The study also highlighted the effectiveness of training initiatives, with 75% of respondents indicating moderate to very effective outcomes in preparing teams to utilize new IT systems proficiently. Despite these advancements, challenges such as system integration complexities and varying levels of user satisfaction remain prevalent. Approximately 15% of respondents reported no significant change in operational efficiency post-IT integration, citing issues related to data integration and system compatibility. Furthermore, while 45% expressed satisfaction with IT integration, 10% remained neutral or dissatisfied, emphasizing the importance of ongoing support and continuous improvement in maximizing the benefits of IT integration. \u0000Conclusion: The integration of IT systems has significantly enhanced efficiency and accuracy in financial reporting across various industries, as evidenced by the majority of respondents who reported improvements in areas such as time efficiency, cost effectiveness, accuracy of reporting, and strategic decision-making. Real-time reporting capabilities enabled by advanced IT systems have empowered organizations to respond swiftly to market changes, optimize resource allocation, and make informed strategic decisions.","PeriodicalId":486386,"journal":{"name":"Archives of current research international","volume":"12 2","pages":""},"PeriodicalIF":0.0,"publicationDate":"2024-08-08","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"141925922","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}

{"title":"Analysis of Socio-economic Impacts of COVID-19 on Agricultural Practices Using Stepwise Regression","authors":"Manju Prem S., Mohanraj M., Sneha M. A., Swadhin Priyadarsinee, Pooja Krishna J.","doi":"10.9734/acri/2024/v24i5716","DOIUrl":"https://doi.org/10.9734/acri/2024/v24i5716","url":null,"abstract":"The COVID-19 pandemic has profoundly impacted rural farming communities, revealing significant shifts in economic factors, production methods, and farm management practices. This study, conducted in Chikkaballapur district, Karnataka, delves into the socio-economic ramifications of the pandemic on agricultural practices and the livelihoods of farmers. Utilizing a stepwise regression analysis approach, the research identifies influential variables such as changes in farm management, production, and health and sanitation facilities. Data were collected from 50 respondents during the pandemic's peak, employing statistical measures like mean, standard deviation, and coefficient of variation for comprehensive analysis. The findings underscore the intricate relationships between various factors affecting rural livelihoods and highlight the need for targeted interventions and policy measures. The study emphasizes the critical need for tailored policy interventions to address the socio-economic impacts of COVID-19 on agricultural practices. Specifically, policy recommendations include enhancing access to agricultural extension services, promoting digital agricultural solutions, investing in healthcare infrastructure, supporting economic diversification, and strengthening social protection mechanisms. By aligning policy interventions with the findings and indicators observed in the research, policymakers can effectively support rural farming communities in navigating the challenges posed by the pandemic and building resilience for the future.","PeriodicalId":486386,"journal":{"name":"Archives of current research international","volume":"18 2","pages":""},"PeriodicalIF":0.0,"publicationDate":"2024-05-23","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"141104611","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}

{"title":"Exploring the Socioeconomic Dynamics and Technological Adaptation among Farmers: Implications for Sustainable Agricultural Development and Rural Livelihoods in Jaipur, India","authors":"Meenakshi Jakhar, R. N. Sharma, B.S. Badhala, Jhabar Mal Tetarwal","doi":"10.9734/acri/2024/v24i5714","DOIUrl":"https://doi.org/10.9734/acri/2024/v24i5714","url":null,"abstract":"The research was conducted in Jaipur district of Rajasthan. There are 23 AAO departments under the jurisdiction of Deputy Commissioner of Agriculture, Jothwara (Jaipur). Among these, 4 AAO departments viz. Hingonia, Jobner, Boraj and Bichun were deliberately chosen for this study because the AAO circle is next to SKNAU, Jobner is within a radius of 20 km, researchers from the school respectively many people are making technological improvements in nearby villages and farmers are also active. A total of 120 participants were selected from these four AAO circles. Judging from the entire health history of farmers benefiting from Nongtang, the majority of farmers benefiting from Nongtang are middle-aged (35 to 51 years old) (58.33%). Primary school graduates (20.00%), farmers are union members (37.50%), their share of average annual income (77.50%) is Rs. 1,26,781 to Rs. 4,72,303 and farmers share small land. category (38.33%). Moreover, most of the beneficiary farmers (44.17%) have moderate farming experience ranging from 15 to 31 years, (23.19%) farmers use PM Kisan application, (70.00%) farmers use information technology, (68%) 34) consider agriculture as the main business. job. The relationship between income and technological change shows that there is a positive relationship between education level, social participation, annual income, insured land, agriculture, agricultural practice and knowledge. The beneficiary's social profile indicates education, community involvement, annual income, land ownership, farm practice use, and data-effective and relevant job creation and annual income. The correlation between the profile of the beneficiaries and their social variables shows a positive relationship between the level of education, social participation, and annual income. There is a significant relationship between the use of agricultural practices and the change in personal property and the education level of family members. Agricultural knowledge and information are important and positively related to changes in household members' education levels and ownership of agricultural equipment.","PeriodicalId":486386,"journal":{"name":"Archives of current research international","volume":"83 1","pages":""},"PeriodicalIF":0.0,"publicationDate":"2024-05-23","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"141105755","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}

{"title":"Marketing Efficiency in Cut Roses: A Comparative Study of Organised Vis-A-Vis Unorganised Markets","authors":"Vidhyashree, H.S., S. K. M., Ganeshagouda I. Patil, C. G. Yadava, Gagana, M. D., Ramappa, K. B, Srinivasalu G. B., .. Raghavendra","doi":"10.9734/acri/2024/v24i5713","DOIUrl":"https://doi.org/10.9734/acri/2024/v24i5713","url":null,"abstract":"The present study is mainly about the comparative analysis of marketing efficiency of cut roses under organised and unorganised markets. For the present study, the primary data was collected from the Krishna Raja Market, Bengaluru an unorganised market, whereas the International Flower Auction Centre, Bengaluru (IFAB) is an organised market. Data collected from 40 market intermediaries in each market structure and total intermediaries were to be 80. Forty rose vendors are randomly selected to gather marketing constraints in organised market. In the study area, three major marketing channels were observed for cut rose marketing in unorganised market structure: Channel I: Producer – Wholesaler – Retailer – Consumer; Channel II: Producer – Retailer – Consumer; and Channel III: Producer– Commission agent– Retailer – Consumer, whereas in the organised market, two marketing channels were prominent, i.e., Channel I: Producer – IFAB – Wholesaler – Retailer – Consumer and Channel II: Producer – IFAB – Retailer – Consumer. Marketing efficiency was estimated using the Acharya and Agarwal methodology. In this analysis, direct marketing channel was found to be the most efficient for unorganised and organised markets. Marketing constraints were analysed using Rank Based Quotient (RBQ) technique. Quality standards and the lack of price information were the most important problems for the farmers while marketing the flowers in organised markets rather than unorganised markets. Hence, policymakers should provide producers with the required facilities and impart proper knowledge about quality standards to farmers, leading to more income for producers.","PeriodicalId":486386,"journal":{"name":"Archives of current research international","volume":"119 11","pages":""},"PeriodicalIF":0.0,"publicationDate":"2024-05-21","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"141115523","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}

{"title":"Pathogenic Level of Reniform Nematode (Rotylenchulus reniformis Linford & Oliveira, 1940) on Tomato (Solanum lycopersicum L.)","authors":"Prerana Bhuyan, Gitanjali Devi","doi":"10.9734/acri/2024/v24i5712","DOIUrl":"https://doi.org/10.9734/acri/2024/v24i5712","url":null,"abstract":"Tomato is an important vegetable crop. Various plant parasitic nematode cause extensive damage during growth stage of tomato. Pathogenic level of Reniform nematode (Rotylenchulus reniformis), was investigated on tomato var. Pusa Ruby by inoculating 10, 100, 500, 1000, 5000 and 10000 nematodes per kg autoclaved soil. Observations on plant growth parameters and nematode numbers were recorded at 60 days following inoculation. The inoculated seedlings showed a progressive decrease in the plant growth parameters with increase in inoculum level of R. reniformis. Significant reduction in plant growth parameters were recorded at 1000 and above nematodes/kg soil. There was a gradual increase in the number of females, egg masses per root system, and nematode population of R. reniformis with increase in inoculum level. The rate of multiplication decreased with increase in the level of inoculation. The pathogenic level of R. reniformis was found to be 1000 nematodes per kg soil.","PeriodicalId":486386,"journal":{"name":"Archives of current research international","volume":"107 24","pages":""},"PeriodicalIF":0.0,"publicationDate":"2024-05-19","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"141124600","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}

{"title":"Effect of Milk Sources on Whey Protein and Fractions of Casein","authors":"R. M, H. M. Jayaprakasha, .. Akshaykumar, Nagamani A","doi":"10.9734/acri/2024/v24i5711","DOIUrl":"https://doi.org/10.9734/acri/2024/v24i5711","url":null,"abstract":"Aim: Milk from Cow, Buffalo and goat was used for the study of isolation and fractionation of casein and whey proteins. Buffalo and goat milk were subjected to physicochemical attribute studies and a detailed protein profile namely total protein, casein fractions α-, β- and κ casein and whey protein were separated by urea fractionation method. The aim of this study was to compare various casein fractions isolated from cows, Buffalo and Goat milk. The method of separating casein into its fractions is based on the solubility of the individual components in urea the solution. The separation of casein fractions was carried out in dissolving molar concentration of urea and the yield of fractions and total protein percentages were calculated. Buffalo and goat milk have comparatively higher total protein and whey protein content as compared to cow milk. Maximum whey proteins found in goat milk (20.58%) whereas cow milk had the lowest whey protein (19.29%). Among casein fractions, α fraction (16.64%) was found maximum in Buffalo milk followed by cow (14.92%) and goat milk (5.42%). The goat milk showed the highest level of β casein (17.81%) whereas, the lowest concentration of β casein was found in cow milk (9.38%). \u0000Study Design: A significant contribution to the total milk production of India comes from buffalo milk and goat milk. Despite that, Buffalo milk and goat milk are not being utilized for many products because of difference in composition of different species milk and their inherent problems associated in the production of products. \u0000Place and Duration of Study: Karnataka Veterinary Animal and Fisheries Sciences University (KVAFSU), Dairy Science College, Hebbal, Bangalore Karnataka, India \u0000Materials: The Goat milk samples were collected from Sinchana Goat and Sheep farm, Marenahalli village (Bengaluru Rural Dist) and Buffalo milk was obtained from Country Delight Pvt. Ltd., J. P. Nagar, Bengaluru, Karnataka. Cow milk used in this investigation was collected from SEDP, Dairy Science College, Hebbal, Bengalore.. All the glassware used was soaked in chromic acid solution, repeatedly washed with water, rinsed with distilled water and dried before use. For microbiological analysis dried test tubes, conical flasks, pipettes were cotton plugged and sterilized in a hot air oven. The chemicals and reagents used in this study were mainly of analytical grade procured from Prince Laboratory Company Pvt. Limited, Bangalore. The protein molecular weight markers used for the electrophoretic study were procured from Bangalore Genei Pvt. Ltd.  \u0000Methodology: Standard urea fractionation method adopted by Hipp et al was used for isolation and fractionation of caseins. Skim milk was prepared by subjecting whole milk for centrifugation, the skim milk obtained was acidified using 1 % hydrochloric acid at 200 C to obtain casein precipitate. Obtained whole casein was dissolved in 3.3 M urea at pH 7.5 and adjusted to pH 4.6 which precipitates the bulk of α casein and l","PeriodicalId":486386,"journal":{"name":"Archives of current research international","volume":"57 3","pages":""},"PeriodicalIF":0.0,"publicationDate":"2024-05-16","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"140968304","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}