{"title":"Analysis of Caffeine Content in Energy Drink and Its Impact on Students Health (by using UV-Visible Spectroscopy, HPTLC and Microscopy)","authors":"Veena Kamble, Abhishekh Patil, Gaurav Varade","doi":"10.32628/ijsrst2411328","DOIUrl":"https://doi.org/10.32628/ijsrst2411328","url":null,"abstract":"This study intends to examine the amount of caffeine in energy drinks, specifically sting, predator, Orello hydra , monster and evaluate any possible negative impacts on students who consume caffeinated energy drinks, such as a variety of health problem. The use of caffeinated energy drinks disrupts students sleep cycle and shortens their sleep length. Furthermore, studies have shown that children that ingest caffeinated have much greater blood sugar levels. This rise in the body’s toxicity may have negative effects. There is a connection between student deaths and the high caffeine level of caffeinated energy drinks. The beverages high sugar and caffeine content is the main cause of this. The study report also looks into several analytical techniques for figuring out how much caffeine is present in various body tissues There is also discussion about the negative effects of caffeine on the human body , particularly for those who drink it regularly. Caffeine addicts have been shown to have toxic side effects, such as elevated heart rate , restlessness, and anxiety. The study examines a number of analytical methods, such as UV-visible spectroscopy, TLC, and light microscope, to quantify the amount of caffeine. The techniques to effectively ascertain the caffeine content of an energy drink are provided in a step-by-step order. Overall, this study emphasizes the possible risks associated with ingesting energy drinks strong in caffeine, such as sting, especially for students. It is possible to limit caffeine consumption and lower health risks by being aware of the negative effects and putting good analytical procedures.","PeriodicalId":14387,"journal":{"name":"International Journal of Scientific Research in Science and Technology","volume":" 9","pages":""},"PeriodicalIF":0.0,"publicationDate":"2024-06-08","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"141368958","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":"Seismic Performance Analysis of Multi-Span Simply Supported Bridges","authors":"John Sonam, Talkeshwar Ray","doi":"10.32628/ijsrst2411333","DOIUrl":"https://doi.org/10.32628/ijsrst2411333","url":null,"abstract":"Multi-span simply supported (MSSS) bridges are extensively utilized worldwide, yet they often suffer damage or failure during earthquakes. This study employs three-dimensional bridge analysis and design software, CSiBridge, to analyze the seismic response of bridge. The investigation focuses on an existing concrete bridge subjected to the El Centro earthquake ground acceleration. Three distinct underlying soil conditions are considered to assess soil-structure interaction (SSI). Analysis of pier top displacements reveals that bridges with linear horizontal layouts may exhibit minimal displacements and limited impact from soil-structure interaction. However, configurations with irregular horizontal layouts result in notable displacements. This research sheds light on the dynamic behavior of bridges and emphasizes the significance of considering geometric variations in seismic analysis.","PeriodicalId":14387,"journal":{"name":"International Journal of Scientific Research in Science and Technology","volume":" 4","pages":""},"PeriodicalIF":0.0,"publicationDate":"2024-06-07","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"141372201","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":"Assessment of the Effectiveness of Energy Transfer for Shore-to-Ship Fast Charging Systems","authors":"Kulat Hemat Sahebrao","doi":"10.32628/ijsrst24113131","DOIUrl":"https://doi.org/10.32628/ijsrst24113131","url":null,"abstract":"Charging systems from shore to ship are typically designed based on a range of operational and design parameters, encompassing onboard power and propulsion needs, available charging durations, and the capacity of local power networks. In areas with weak grid infrastructure, onshore energy storage is often employed to facilitate high-power charging for vessels requiring short charging intervals. Nevertheless, incorporating on-shore energy storage adds complexity to the system, and the selection of system configuration can profoundly affect the efficiency of energy transfer from the grid to the vessel. This study presents a comparative analysis of energy efficiency among AC, DC, and Inductive shore-to-ship charging solutions for short-distance ferries utilizing both AC and DC-based propulsion systems. Findings illustrate that an increased reliance on onshore battery power correlates with decreased overall energy efficiency during the charging process. Thus, optimizing energy efficiency necessitates careful consideration when distributing the load between the grid and onshore battery. Results indicate that DC charging offers advantages over other solutions for AC-based propulsion systems in terms of energy efficiency. However, for DC-based propulsion systems, the most efficient solution may be either DC or AC charging, contingent upon the distribution of load between the grid and onshore battery. Furthermore, it is inferred that despite adding additional conversion stages and complexity to the system, the energy efficiency of inductive charging is comparable to wired schemes. Considering the added benefits of contactless charging, such as reliability, safety, and robustness, these findings advocate for the adoption of inductive charging as a promising solution.","PeriodicalId":14387,"journal":{"name":"International Journal of Scientific Research in Science and Technology","volume":" 89","pages":""},"PeriodicalIF":0.0,"publicationDate":"2024-06-07","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"141374956","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 Effect of Different Ethanol Concentrations as The Extraction Solvent on Total Flavonoid Content of White Mulberry Leaves Extracts (Morus alba L.)","authors":"Harpolia Cartika, Khairun Nida, Ilma Atania Ahya","doi":"10.32628/ijsrst2411320","DOIUrl":"https://doi.org/10.32628/ijsrst2411320","url":null,"abstract":"White mulberry leaves (Morus alba L.) contain flavonoid which empirically have many health benefits, such as reducing fever, relieving headaches and throats, coughs, dysentery, digestive disorders, flu, and according to research it has antioxidant activity. Many factors effect the total flavonoid content, one of which is the concentration of the extraction solvent. The purpose of the research was to determine the effect of different ethanol concentrations as the extraction solvent on total flavonoid content of white mulberry (Morus alba L.) leaves extract. White mulberry leaves (Morus alba L.) were extracted using the maceration method, the extract was tested for phytochemical screening and thin layer chromatography using chloroform: ethyl acetate (6: 4) as the eluent. The resulting spots were observed visually and with λ 254 nm and λ 366 nm UV light. Determination of flavonoid content by UV-Vis spectrophotometry using the AlCl3 colorimetric method at a maximum wavelength of 415 nm. The research results showed that the yield of 50% and 96% ethanol extract of white mulberry leaves (Morus alba L.) was 17.42 % and 11.04 %. Phytochemical screening showed that both extracts positively contained flavonoids. The presence of flavonoids was confirmed using a thin layer chromatography test, resulting in an average Rf value for 50% and 96% ethanol extracts are 0.71 and 0.70, close to quercetin Rf standard is 0,73 as comparison. The total flavonoid content obtained from the 50% ethanol extract was 36.0902 mgQE/g and the 96% ethanol extract was 56.4699 mgQE/g. The conclusions are the concentration of the extraction solvent effect the yield and total flavonoid content.","PeriodicalId":14387,"journal":{"name":"International Journal of Scientific Research in Science and Technology","volume":"303 3","pages":""},"PeriodicalIF":0.0,"publicationDate":"2024-06-05","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"141386297","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":"A Study on Awareness of Mutual Fund Investment (With Special Reference to Kottayam District)","authors":"Susan Bincy Andrews, Dr. Rafeekamol C. A","doi":"10.32628/ijsrst2411325","DOIUrl":"https://doi.org/10.32628/ijsrst2411325","url":null,"abstract":"This study investigates awareness levels in mutual fund investment with special reference to Kottayam District. The sample size of 50 respondents are collected from mutual fund investors with different demographic back grounds by using a scheduled questionnaire. This study explores demographic factors of mutual fund investors in Kottayam and study the investors awareness regarding mutual fund investment. This study reveals that male respondents from rural areas of Kottayam with 50 years and above age having post-graduation invest more money in mutual funds than all other respondents. The awareness about the different aspects of mutual fund investment is not enough to make a successful investment strategy to the investors from Kottayam. By conducting awareness programs and financial literacy programs can improve their knowledge in mutual fund investment.","PeriodicalId":14387,"journal":{"name":"International Journal of Scientific Research in Science and Technology","volume":"58 28","pages":""},"PeriodicalIF":0.0,"publicationDate":"2024-06-05","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"141383895","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":"UGC Proposed Parameters for Institutional Excellence in IDP Framework","authors":"Dr. H. M. Naveen","doi":"10.32628/ijsrst24113126","DOIUrl":"https://doi.org/10.32628/ijsrst24113126","url":null,"abstract":"The UGC guidelines for institutional development plans for higher education institutions empowering the faculty is the critical pillar. Extending from purpose-informed recruitment processes to a culture that encourages continuous professional development. Faculty diversity is valued, nurturing talent, and offers pathways for career progression in line with and extending beyond global best practices. The eight enabler parameters are enumerated in the present context. Enablers of Governance, Financial, to Academic, Research & Intellectual Property, Networking & Collaboration, Human Resources, Supportive & Facilitative, Physical and Digital.","PeriodicalId":14387,"journal":{"name":"International Journal of Scientific Research in Science and Technology","volume":"52 s35","pages":""},"PeriodicalIF":0.0,"publicationDate":"2024-06-05","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"141382996","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":"An Enhanced Human Speech Based Emotion Recognition","authors":"Dr. M. Narendra, Lankala Suvarchala","doi":"10.32628/ijsrst24113128","DOIUrl":"https://doi.org/10.32628/ijsrst24113128","url":null,"abstract":"Speech Emotion Recognition (SER) is a Machine Learning (ML) topic that has attracted substantial attention from researchers, particularly in the field of emotional computing. This is because of its growing potential, improvements in algorithms, and real-world applications. Pitch, intensity, and Mel-Frequency Cepstral Coefficients (MFCC) are examples of quantitative variables that can be used to represent the paralinguistic information found in human speech. The three main processes of data processing, feature selection/extraction, and classification based on the underlying emotional traits are typically followed to achieve SER. The use of ML techniques for SER implementation is supported by the nature of these processes as well as the unique characteristics of human speech. Several ML techniques were used in recent affective computing research projects for SER tasks; Only a few number of them, nevertheless, adequately convey the fundamental strategies and tactics that can be applied to support the three essential phases of SER implementation. Additionally, these works either overlook or just briefly explain the difficulties involved in completing these tasks and the cutting-edge methods employed to overcome them. With a focus on the three SER implementation processes, we give a comprehensive assessment of research conducted over the past ten years that tackled SER challenges from machine learning perspectives in this study. A number of difficulties are covered in detail, including the problem of Speaker-Independent experiments' low classification accuracy and related solutions. The review offers principles for SER evaluation as well, emphasizing indicators that can be experimented with and common baselines. The purpose of this paper is to serve as a a thorough manual that SER researchers may use to build SER solutions using ML techniques, inspire potential upgrades to current SER models, or spark the development of new methods to improve SER performance.","PeriodicalId":14387,"journal":{"name":"International Journal of Scientific Research in Science and Technology","volume":"51 34","pages":""},"PeriodicalIF":0.0,"publicationDate":"2024-06-05","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"141383866","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":"Pollutants In the Selected 3 – Bus Station Microenvironments in Enugu Metropolis","authors":"Ehiemobi Michael Chijioke","doi":"10.32628/ijsrst24113110","DOIUrl":"https://doi.org/10.32628/ijsrst24113110","url":null,"abstract":"Idling buses in bus station micro-environments potentially pollute ambient air with health implications for commuters with long waiting times. This study aimed at finding the severity of air pollutants in selected three bus station microenvironments in Enugu metropolis, South Eastern Nigeria with the objective to determine the air quality index. Real time measurements of ambient particulates (PM10 and PM2.5) and gaseous pollutants such as SO2, NO2 and CO were monitored, in conjunction with meteorological parameters (wind speed, temperature and relative humidity) on idling buses in selected three bus stations and a control station in Enugu Metropolis. The study spanned through September 2016 to August 2018, covering dry and wet seasons. Hand-held Aeroqual Series - 200 gas monitor/sensors, particulates laser meter and ambient weather anemometer were used to collect data. Results indicated that the daily highest mean concentrations of pollutants were as follows: PM10=228µg/m3 – Young Shall Grow; PM2.5=99.5µg/m3 – Young-Shall-Grow; SO2=0.81ppm – Ifesinachi; NO2= 0.068ppm – Young-Shall-Grow; CO= 7.376ppm – ABC, consistently maintained higher concentrations than those at the control station. AQI was calculated with AQI calculator. The air quality index (AQI) results showed a severe health issue in the selected 3-bus station micro environments. This implies that commuters are highly at risk if they cluster idling buses at bus stations. This study can assist the relevant authorities to set strict ambient air quality objectives for pollutants in transport micro environments.","PeriodicalId":14387,"journal":{"name":"International Journal of Scientific Research in Science and Technology","volume":"68 5","pages":""},"PeriodicalIF":0.0,"publicationDate":"2024-05-22","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"141109926","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":"Breast Cancer Prediction Web Model","authors":"Ashish Chauhan, Kajal Kori, Priti Pal, Khushi Sani","doi":"10.32628/ijsrst24113102","DOIUrl":"https://doi.org/10.32628/ijsrst24113102","url":null,"abstract":"In this era cancer is biggest problem for human resource and there is multiple type of cancer like blood cancer, breast cancer etc. but here we are talk about only breast cancer. Breast cancer is generally faced by women. Every year the cases of breast cancer increase rapidly and as well as death rate also. The breast cancer is the cause of death in women worldwide. To make breast cancer prediction model is a very challenging task because high accuracy in prediction is very important to know the actual condition or results in the form of chances of survival. Through Machine Learning the prediction and early diagnosis can be easy by using different techniques and algorithms of Machine Learning. But here we use classification method to predict the breast cancer.","PeriodicalId":14387,"journal":{"name":"International Journal of Scientific Research in Science and Technology","volume":"97 12","pages":""},"PeriodicalIF":0.0,"publicationDate":"2024-05-20","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"141122306","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":"Startup-AYUSH Portal","authors":"Chandra Sekhar Chauhan, Shailendra Chaurasiya, Harshvardhan Tiwary, Mahesh Yadav","doi":"10.32628/ijsrst24113109","DOIUrl":"https://doi.org/10.32628/ijsrst24113109","url":null,"abstract":"The Startup AYUSH Portal is a pioneering initiative to transform the AYUSH ecosystem. It acts as a key hub and brings together startups, investors, incubators, accelerators, government agencies and the public. This innovative platform fosters collaboration, knowledge sharing, and growth in integrated healthcare. With the growing global interest in holistic medical and wellness practices, this platform serves as a dynamic and comprehensive hub for all stakeholders in the AYUSH ecosystem. The core of the portal is to facilitate seamless interaction and collaboration between startups, investors, incubators, accelerators, government agencies and the public. It provides a user-friendly interface that allows startups to showcase innovative AYUSH-related products and services, while investors explore investment opportunities in growing sectors. AYUSH Startup Portal is a key solution that will revolutionize the AYUSH startup industry. Startups can benefit from shared workspaces where they can showcase their AYUSH-related products and services. Investors have access to a rich pool of investment opportunities. Mentorship programs empower startups under the guidance of seasoned professionals. Our extensive resource center provides important information, regulatory updates and financing options. Key to our success are a variety of features, including collaborative workspaces, mentoring opportunities, abundant resources, and a global networking environment. Users can access the latest regulatory information, participate in virtual events and webinars, and engage with expert mentors. Government agencies can disseminate important policy updates by creating a regulatory environment conducive to AYUSH innovation. In a world where holistic health and wellness is gaining momentum, the AYUSH Startup Portal is a catalyst for advancement, unity and knowledge sharing within the AYUSH startup community, ultimately contributing to the growth of this important sector.","PeriodicalId":14387,"journal":{"name":"International Journal of Scientific Research in Science and Technology","volume":"13 6","pages":""},"PeriodicalIF":0.0,"publicationDate":"2024-05-20","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"141119671","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}