Pub Date : 2024-07-30DOI: 10.30574/ijsra.2024.12.2.1174
C. Anu Krishna, Kala K, Ramya K
Background: The term "Rhesus incompatibility" describes the mismatched Rh types of the mother and the fetus. It is linked to the onset of hemolytic disease of the newborn (HDN) ranging from haemolytic anemia to hydrops fetalis and also related to maternal Rh sensitization. The disease incidence is currently declining globally, having dropped from 1.3%–1.7% in the 1980s to 0.17% in the 1990s1. Erythroblastosis foetalis is one of the most terrible consequences of an ABO incompatible or Rh incompatible pregnancy. About 10% of all Rh-negative pregnancies result in Rh incompatibility in the Rh-negative mother carrying a Rh-positive fetus. Methods: This observational study was carried out among 60 Rh negative pregnant women attending our antenatal clinic and delivered in our institution from October 2022 to March 2024.The Rh negative women were followed up with a series of investigations such as Indirect Coombs Test (ICT), MCA-PSV and with regular antenatal care (ANC). After birth neonates were followed up with blood grouping and Rh typing, direct coombs test (DCT), duration of phototherapy, duration of NICU stay , need for immunoglobulin and exchange transfusion were recorded to evaluate the maternal and neonatal outcomes.The data was collected and tabulated in Microsoft excel sheet and the percentages were calculated. Results: This study included a total of 60 Rh negative mothers ,where 48 (80%) of them were aged less than 30 years and 12 of them (20%) were more than 30 years of age. Antenatally, 51 (85%) women were ICT negative and received RAADP, 9(15%) women were ICT positive and anti D titres were less than 1:16 followed up with MCA-PSV which was normal/less than 1.5MoM. The total preterm births were 6(10%).The total admissions to NICU were 12(20%) in our study. All the 9 babies born to ICT positive mothers turned out to be Direct Coombs test (DCT) positive and were managed with double surface phototherapy. For 2(3.3%) babies, human immunoglobulin was given. Only 1(1.6%) baby required exchange transfusion. Conclusion: We conclude that, severe hyperbilirubinemia and hydrops foetalis, which were observed previously are drastically reduced with recent advances and the use of Routine antenatal Anti D prophylaxis (RAADP). Neonatal morbidity and mortality reduced drastically with newer advances like immunoglobulin reducing the need for exchange transfusion and better NICU care. ICT positivity of 15% despite of postnatal immunisation suggest that there is chances of silent fetomaternal haemorrhage during antenatal period, health care professionals should be more knowledgeble with prenatal screening, the value of blood grouping and Rh typing, anti-D immunisation following sensitising events like MTP, abortion, ectopic pregnancy, ECV and regular implementation of RAADP in clinical practice.
{"title":"Feto-maternal outcome of Rh-Negative pregnancy presenting in a tertiary healthcare centre","authors":"C. Anu Krishna, Kala K, Ramya K","doi":"10.30574/ijsra.2024.12.2.1174","DOIUrl":"https://doi.org/10.30574/ijsra.2024.12.2.1174","url":null,"abstract":"Background: The term \"Rhesus incompatibility\" describes the mismatched Rh types of the mother and the fetus. It is linked to the onset of hemolytic disease of the newborn (HDN) ranging from haemolytic anemia to hydrops fetalis and also related to maternal Rh sensitization. The disease incidence is currently declining globally, having dropped from 1.3%–1.7% in the 1980s to 0.17% in the 1990s1. Erythroblastosis foetalis is one of the most terrible consequences of an ABO incompatible or Rh incompatible pregnancy. About 10% of all Rh-negative pregnancies result in Rh incompatibility in the Rh-negative mother carrying a Rh-positive fetus. Methods: This observational study was carried out among 60 Rh negative pregnant women attending our antenatal clinic and delivered in our institution from October 2022 to March 2024.The Rh negative women were followed up with a series of investigations such as Indirect Coombs Test (ICT), MCA-PSV and with regular antenatal care (ANC). After birth neonates were followed up with blood grouping and Rh typing, direct coombs test (DCT), duration of phototherapy, duration of NICU stay , need for immunoglobulin and exchange transfusion were recorded to evaluate the maternal and neonatal outcomes.The data was collected and tabulated in Microsoft excel sheet and the percentages were calculated. Results: This study included a total of 60 Rh negative mothers ,where 48 (80%) of them were aged less than 30 years and 12 of them (20%) were more than 30 years of age. Antenatally, 51 (85%) women were ICT negative and received RAADP, 9(15%) women were ICT positive and anti D titres were less than 1:16 followed up with MCA-PSV which was normal/less than 1.5MoM. The total preterm births were 6(10%).The total admissions to NICU were 12(20%) in our study. All the 9 babies born to ICT positive mothers turned out to be Direct Coombs test (DCT) positive and were managed with double surface phototherapy. For 2(3.3%) babies, human immunoglobulin was given. Only 1(1.6%) baby required exchange transfusion. Conclusion: We conclude that, severe hyperbilirubinemia and hydrops foetalis, which were observed previously are drastically reduced with recent advances and the use of Routine antenatal Anti D prophylaxis (RAADP). Neonatal morbidity and mortality reduced drastically with newer advances like immunoglobulin reducing the need for exchange transfusion and better NICU care. ICT positivity of 15% despite of postnatal immunisation suggest that there is chances of silent fetomaternal haemorrhage during antenatal period, health care professionals should be more knowledgeble with prenatal screening, the value of blood grouping and Rh typing, anti-D immunisation following sensitising events like MTP, abortion, ectopic pregnancy, ECV and regular implementation of RAADP in clinical practice.","PeriodicalId":14366,"journal":{"name":"International Journal of Science and Research Archive","volume":"12 26","pages":""},"PeriodicalIF":0.0,"publicationDate":"2024-07-30","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"141795780","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: 10.30574/ijsra.2024.12.2.1197
Vanisri. M, Sreesivasakthi. A, MuthuKaviya. M, Roja Jayashankar, Salai Dhivyathai. N, Rajaganapathy. K, Srinivasan.R
Exploring innovative ways to accelerate drug repurposing through in-silico molecular modeling techniques, tools, and databases is paramount in modern pharmaceutical research. Exploring the vast landscape of drug repurposing presents both a challenge and an opportunity in the realm of pharmaceutical research. With the escalating costs and time-consuming nature of developing new drugs from scratch, the urgency to identify novel therapeutic uses for existing compounds has never been more pressing. Readers can expect a detailed exploration of how computational methods are revolutionizing drug repurposing efforts, offering insights into accelerated drug discovery and development timelines. This comprehensive review dives deep into the opportunities and challenges of leveraging computational approaches to identify new therapeutic uses for existing drugs and this article highlights the potential of in-silico methods to revolutionize drug discovery by repurposing existing compounds efficiently and cost-effectively, ultimately leading to faster development timelines and improved patient outcomes and will be focused for In-silico molecular modeling techniques, tools, and databases as powerful allies in expediting this crucial process.
{"title":"Accelerate drug repurposing with in-silico molecular modelling techniques, tools and databases: A comprehensive review","authors":"Vanisri. M, Sreesivasakthi. A, MuthuKaviya. M, Roja Jayashankar, Salai Dhivyathai. N, Rajaganapathy. K, Srinivasan.R","doi":"10.30574/ijsra.2024.12.2.1197","DOIUrl":"https://doi.org/10.30574/ijsra.2024.12.2.1197","url":null,"abstract":"Exploring innovative ways to accelerate drug repurposing through in-silico molecular modeling techniques, tools, and databases is paramount in modern pharmaceutical research. Exploring the vast landscape of drug repurposing presents both a challenge and an opportunity in the realm of pharmaceutical research. With the escalating costs and time-consuming nature of developing new drugs from scratch, the urgency to identify novel therapeutic uses for existing compounds has never been more pressing. Readers can expect a detailed exploration of how computational methods are revolutionizing drug repurposing efforts, offering insights into accelerated drug discovery and development timelines. This comprehensive review dives deep into the opportunities and challenges of leveraging computational approaches to identify new therapeutic uses for existing drugs and this article highlights the potential of in-silico methods to revolutionize drug discovery by repurposing existing compounds efficiently and cost-effectively, ultimately leading to faster development timelines and improved patient outcomes and will be focused for In-silico molecular modeling techniques, tools, and databases as powerful allies in expediting this crucial process.","PeriodicalId":14366,"journal":{"name":"International Journal of Science and Research Archive","volume":"9 37","pages":""},"PeriodicalIF":0.0,"publicationDate":"2024-07-30","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"141795796","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: 10.30574/ijsra.2024.12.2.1201
Edim Eka James, Altuğ Ocak, Samuel Eventus Bernard
This study conducted a systematic literature review on product quality and failures in export trade, aiming to uncover causes, dimensions and practical steps for improvement. It examined 181 scholarly articles, employing in-depth content analysis and visual aids for clarity. The first finding of the study revealed that nine factors emerged as the major dimensions of goods quality in the export trade context, including: conformance, durability, reliability, features, aesthetics, usability, serviceability, environmental impact and innovation. The second finding revealed that thirteen factors emerged as the major dimensions of service quality in the export trade context, including: cultural sensitivity, service compliance, reliability, responsiveness, tangibility, competence, courtesy, credibility, transparency, security, consistent availability, service customization and service innovation. The third finding of the study revealed that twelve factors emerged as the key dimensions of goods failure in the export trade context, including: manufacturing defect, maintenance complexity, component failure, assembly failure, durability issues, performance flaw, user interface failure, inferior quality, packaging/design failure, product adaptation failure, logistics failure and technical incompatibility. Other findings were also made, and the study recommended that export companies should conduct thorough market research, prioritize cultural sensitivity, implement quality management systems, embrace manufacturing automation, and maintain strong supplier relationships to ensure consistent high-quality products and successful foreign market entry.
{"title":"Exploring the dynamics of product quality and failures in export trade: A systematic literature review","authors":"Edim Eka James, Altuğ Ocak, Samuel Eventus Bernard","doi":"10.30574/ijsra.2024.12.2.1201","DOIUrl":"https://doi.org/10.30574/ijsra.2024.12.2.1201","url":null,"abstract":"This study conducted a systematic literature review on product quality and failures in export trade, aiming to uncover causes, dimensions and practical steps for improvement. It examined 181 scholarly articles, employing in-depth content analysis and visual aids for clarity. The first finding of the study revealed that nine factors emerged as the major dimensions of goods quality in the export trade context, including: conformance, durability, reliability, features, aesthetics, usability, serviceability, environmental impact and innovation. The second finding revealed that thirteen factors emerged as the major dimensions of service quality in the export trade context, including: cultural sensitivity, service compliance, reliability, responsiveness, tangibility, competence, courtesy, credibility, transparency, security, consistent availability, service customization and service innovation. The third finding of the study revealed that twelve factors emerged as the key dimensions of goods failure in the export trade context, including: manufacturing defect, maintenance complexity, component failure, assembly failure, durability issues, performance flaw, user interface failure, inferior quality, packaging/design failure, product adaptation failure, logistics failure and technical incompatibility. Other findings were also made, and the study recommended that export companies should conduct thorough market research, prioritize cultural sensitivity, implement quality management systems, embrace manufacturing automation, and maintain strong supplier relationships to ensure consistent high-quality products and successful foreign market entry.","PeriodicalId":14366,"journal":{"name":"International Journal of Science and Research Archive","volume":"1 2","pages":""},"PeriodicalIF":0.0,"publicationDate":"2024-07-30","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"141795833","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: 10.30574/ijsra.2024.12.2.1237
S. Kalaivanan, S. Showbharnikhaa, T. Thenmozhi, S. Preethi, A. Ayisha Siddiqkha, A. Hema Malini, K. Rajaganapathy, R. Srinivasan
Targeting High Mobility Group Box 1 (HMGB1) in rheumatoid arthritis (RA) holds promise for mitigating inflammation and joint damage. This paper comprehensively overviews In Vitro and In Vivo screening methods for HMGB1 targeting in RA. In Vitro, assays include cell-based assays, ELISA, and Western blotting to assess HMGB1 release, receptor activation, and downstream signalling pathways. In Vivo, models such as collagen-induced arthritis (CIA) in mice and adjuvant-induced arthritis (AIA) in rats mimic RA pathogenesis and enable evaluation of HMGB1 inhibitors' efficacy, safety, and pharmacokinetics. Advanced imaging technologies, including PET and MRI, allow non-invasive visualization of HMGB1 expression In Vivo. Biomarker analyses complement screening methods by correlating HMGB1 levels with disease activity and treatment response. Integration of these screening methods facilitates the development of HMGB1-targeted therapies with the potential to transform RA management. In this review we proposed certain In-vitro and In-vivo screening methods for RA.
靶向类风湿性关节炎（RA）中的高迁移率组框 1（HMGB1）有望减轻炎症和关节损伤。本文全面概述了针对类风湿性关节炎 HMGB1 的体外和体内筛选方法。体外检测包括细胞检测、ELISA 和 Western 印迹法，以评估 HMGB1 的释放、受体激活和下游信号通路。体内，小鼠胶原诱导性关节炎（CIA）和大鼠佐剂诱导性关节炎（AIA）等模型模拟了 RA 的发病机制，可评估 HMGB1 抑制剂的疗效、安全性和药代动力学。包括正电子发射计算机断层显像（PET）和核磁共振成像（MRI）在内的先进成像技术可以对体内 HMGB1 的表达进行无创观察。生物标志物分析可将 HMGB1 水平与疾病活动和治疗反应相关联，从而对筛选方法起到补充作用。整合这些筛查方法有助于开发 HMGB1 靶向疗法，从而有可能改变 RA 的治疗方法。在本综述中，我们提出了一些针对 RA 的体外和体内筛查方法。
{"title":"In-vitro and In-vivo screening methods for targeting HMBG1 in RA: A comprehensive overview","authors":"S. Kalaivanan, S. Showbharnikhaa, T. Thenmozhi, S. Preethi, A. Ayisha Siddiqkha, A. Hema Malini, K. Rajaganapathy, R. Srinivasan","doi":"10.30574/ijsra.2024.12.2.1237","DOIUrl":"https://doi.org/10.30574/ijsra.2024.12.2.1237","url":null,"abstract":"Targeting High Mobility Group Box 1 (HMGB1) in rheumatoid arthritis (RA) holds promise for mitigating inflammation and joint damage. This paper comprehensively overviews In Vitro and In Vivo screening methods for HMGB1 targeting in RA. In Vitro, assays include cell-based assays, ELISA, and Western blotting to assess HMGB1 release, receptor activation, and downstream signalling pathways. In Vivo, models such as collagen-induced arthritis (CIA) in mice and adjuvant-induced arthritis (AIA) in rats mimic RA pathogenesis and enable evaluation of HMGB1 inhibitors' efficacy, safety, and pharmacokinetics. Advanced imaging technologies, including PET and MRI, allow non-invasive visualization of HMGB1 expression In Vivo. Biomarker analyses complement screening methods by correlating HMGB1 levels with disease activity and treatment response. Integration of these screening methods facilitates the development of HMGB1-targeted therapies with the potential to transform RA management. In this review we proposed certain In-vitro and In-vivo screening methods for RA.","PeriodicalId":14366,"journal":{"name":"International Journal of Science and Research Archive","volume":"10 7","pages":""},"PeriodicalIF":0.0,"publicationDate":"2024-07-30","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"141795864","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: 10.30574/ijsra.2024.12.2.1247
Wenpeng Zhan
The aim of this study is to investigate how psychological capital can predict athletic achievement among Taekwondo athletes. Data was collected using the psychological capital questionnaire and the athletic achievement scale through a survey of Taekwondo athletes. A total of 421 valid responses were collected with a response rate of 81.7%. The data was analyzed using SEM-PLS. The results show that the psychological capital dimensions of self-efficacy, hope, resilience, and optimism have a significant impact on the athletic achievement of Taekwondo athletes. Among these dimensions, self-efficacy has the greatest impact on athletic achievement, while optimism has the least influence. Overall, psychological capital accounts for 79.6% of the variance in athletic achievement. Based on these results, the study suggests several recommendations for future research.
{"title":"A study on the relationship between taekwondo athletes’ psychological capital and athletic achievement","authors":"Wenpeng Zhan","doi":"10.30574/ijsra.2024.12.2.1247","DOIUrl":"https://doi.org/10.30574/ijsra.2024.12.2.1247","url":null,"abstract":"The aim of this study is to investigate how psychological capital can predict athletic achievement among Taekwondo athletes. Data was collected using the psychological capital questionnaire and the athletic achievement scale through a survey of Taekwondo athletes. A total of 421 valid responses were collected with a response rate of 81.7%. The data was analyzed using SEM-PLS. The results show that the psychological capital dimensions of self-efficacy, hope, resilience, and optimism have a significant impact on the athletic achievement of Taekwondo athletes. Among these dimensions, self-efficacy has the greatest impact on athletic achievement, while optimism has the least influence. Overall, psychological capital accounts for 79.6% of the variance in athletic achievement. Based on these results, the study suggests several recommendations for future research.","PeriodicalId":14366,"journal":{"name":"International Journal of Science and Research Archive","volume":"10 4","pages":""},"PeriodicalIF":0.0,"publicationDate":"2024-07-30","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"141795866","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: 10.30574/ijsra.2024.12.2.1235
Pius David Muzzazzi, Kandi Catherine Muze
WAGR syndrome is a rare genetic disorder characterized by a de novo deletion of 11p 13 (PAX6 and WT1 genes), clinically associated with Wilms’ tumor, aniridia, genitourinary anomalies, and mental retardation. It affects 1 in 500,000 to 1 million people worldwide. Wilms tumor occurs in half of the children with WAGR syndrome. We admitted 3-year-old boy who presented in our institution with the complaints of delay in development milestones and abdomen distension. On thorough examination he was found to have aniridia, Wilms tumor, undescended testis and mental retardation. The observation that aniridia is associated with Wilms tumor led us to believe that the findings were consistent with WAGR syndrome. The diagnosis was confirmed by a genetic testing that revealed loss of 17840kb within the 11p15.1p12 chromosome, confirming the diagnosis of WAGR syndrome.
{"title":"A Tanzanian child with WAGR syndrome: A case report","authors":"Pius David Muzzazzi, Kandi Catherine Muze","doi":"10.30574/ijsra.2024.12.2.1235","DOIUrl":"https://doi.org/10.30574/ijsra.2024.12.2.1235","url":null,"abstract":"WAGR syndrome is a rare genetic disorder characterized by a de novo deletion of 11p 13 (PAX6 and WT1 genes), clinically associated with Wilms’ tumor, aniridia, genitourinary anomalies, and mental retardation. It affects 1 in 500,000 to 1 million people worldwide. Wilms tumor occurs in half of the children with WAGR syndrome. We admitted 3-year-old boy who presented in our institution with the complaints of delay in development milestones and abdomen distension. On thorough examination he was found to have aniridia, Wilms tumor, undescended testis and mental retardation. The observation that aniridia is associated with Wilms tumor led us to believe that the findings were consistent with WAGR syndrome. The diagnosis was confirmed by a genetic testing that revealed loss of 17840kb within the 11p15.1p12 chromosome, confirming the diagnosis of WAGR syndrome.","PeriodicalId":14366,"journal":{"name":"International Journal of Science and Research Archive","volume":"9 49","pages":""},"PeriodicalIF":0.0,"publicationDate":"2024-07-30","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"141795871","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: 10.30574/ijsra.2024.12.2.1268
Durai Anand Thangarajan, Sivasangari Rajeswaran
The identification of bacteria is an important and unavoidable task in medical disciplines and nutritional hygiene. But in the field of microbiology, No direct method is available for determination of bacterial species. The common manual technique is the microscopic sample analysis combined with more than 20 biochemical tests to identify the bacterium. These tests are more time consuming processes and required the training person for conducting these tests. To overcome the above problems the digital image processing can be used. The primary objective of the proposed work is to use the digital image processing techniques to identify the bacteria from the microscopic images. In this work the image of bacterial species were captured using a digital camera attached with the transmission electron microscope. After capturing the image, the preprocessing, segmentation and morphological procedures of digital image processing techniques are used to identify the bacterial species.
{"title":"Bacteria identification using digital image processing","authors":"Durai Anand Thangarajan, Sivasangari Rajeswaran","doi":"10.30574/ijsra.2024.12.2.1268","DOIUrl":"https://doi.org/10.30574/ijsra.2024.12.2.1268","url":null,"abstract":"The identification of bacteria is an important and unavoidable task in medical disciplines and nutritional hygiene. But in the field of microbiology, No direct method is available for determination of bacterial species. The common manual technique is the microscopic sample analysis combined with more than 20 biochemical tests to identify the bacterium. These tests are more time consuming processes and required the training person for conducting these tests. To overcome the above problems the digital image processing can be used. The primary objective of the proposed work is to use the digital image processing techniques to identify the bacteria from the microscopic images. In this work the image of bacterial species were captured using a digital camera attached with the transmission electron microscope. After capturing the image, the preprocessing, segmentation and morphological procedures of digital image processing techniques are used to identify the bacterial species.","PeriodicalId":14366,"journal":{"name":"International Journal of Science and Research Archive","volume":"7 48","pages":""},"PeriodicalIF":0.0,"publicationDate":"2024-07-30","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"141796067","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: 10.30574/ijsra.2024.12.2.1245
Mitul Goswami, Shashwat Kumar, Sourav Kaity
This research presents an innovative approach to developing a Tracking Radar Trajectory Simulator by integrating advanced network communication protocols and the GLG toolkit framework. The simulator processes raw real-time coordinate system data, specifically in ECEF, ENV, or LLA formats, and converts this to Radar-specific requirements. It serves as a crucial tool for real-time data transmission and visualization of key parameters such as Azimuth Angle, Elevation Angle, and Range, facilitating the study and analysis of Radar trajectory dynamics. The system employs socket programming to enable seamless communication between the simulator and external devices, allowing efficient data exchange in a networked environment. Additionally, it incorporates optimized algorithms to enhance performance and reliability while reducing the time complexity of the simulation. The proposed system surpasses existing state-of-the-art models in terms of agility and performance. Through rigorous experimentation and evaluation, the effectiveness and efficiency of the proposed approach are demonstrated, highlighting its potential applications in Radar technology research and development. This research advances the field of trajectory simulation by providing a robust and scalable solution for real-time data analysis and visualization, contributing significantly to the development of more agile and high-performing tracking systems.
{"title":"Network protocol-driven real-time tracking radar trajectory simulation using GLG framework for test range applications","authors":"Mitul Goswami, Shashwat Kumar, Sourav Kaity","doi":"10.30574/ijsra.2024.12.2.1245","DOIUrl":"https://doi.org/10.30574/ijsra.2024.12.2.1245","url":null,"abstract":"This research presents an innovative approach to developing a Tracking Radar Trajectory Simulator by integrating advanced network communication protocols and the GLG toolkit framework. The simulator processes raw real-time coordinate system data, specifically in ECEF, ENV, or LLA formats, and converts this to Radar-specific requirements. It serves as a crucial tool for real-time data transmission and visualization of key parameters such as Azimuth Angle, Elevation Angle, and Range, facilitating the study and analysis of Radar trajectory dynamics. The system employs socket programming to enable seamless communication between the simulator and external devices, allowing efficient data exchange in a networked environment. Additionally, it incorporates optimized algorithms to enhance performance and reliability while reducing the time complexity of the simulation. The proposed system surpasses existing state-of-the-art models in terms of agility and performance. Through rigorous experimentation and evaluation, the effectiveness and efficiency of the proposed approach are demonstrated, highlighting its potential applications in Radar technology research and development. This research advances the field of trajectory simulation by providing a robust and scalable solution for real-time data analysis and visualization, contributing significantly to the development of more agile and high-performing tracking systems.","PeriodicalId":14366,"journal":{"name":"International Journal of Science and Research Archive","volume":"5 5","pages":""},"PeriodicalIF":0.0,"publicationDate":"2024-07-30","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"141796085","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: 10.30574/ijsra.2024.12.2.1308
Madhuri Martis, Subramanya Bhat, Sreenivasa B R
IPMN cysts, a pre-malignant risk to the pancreas, have the potential to develop into pancreatic cancer. Accurately identifying and evaluating the risk level is crucial for planning an efficient treatment strategy. However, this task is immensely challenging due to the varied and irregular shapes, textures, and sizes of IPMN cysts, as well as those of the pancreas itself. In this study, we introduce a new computer-aided diagnostic approach for classifying IPMN risk levels based on multi-contrast MRI scans. The proposed analysis framework comprises an efficient volumetric self-adapting segmentation strategy for delineating the pancreas, followed by a newly developed deep learning-based classification scheme incorporating a radiomics-based predictive approach. To evaluate the proposed decision-fusion model, we use multi-centre datasets and multi-contrast MRI scans, aiming to achieve superior performance compared to the current state of the art in this field. The ablation studies illustrate the importance of both radiomics and deep learning modules in achieving a new state-of-the-art (SOTA) performance compared to international guidelines and published studies (81.9% vs 61.3% in accuracy). These key findings carry significant implications for clinical decision-making, potentially revolutionizing the way IPMN risk levels are classified. Through a series of rigorous experiments on multi-centre datasets (involving more MRI scans from five centers), we attained unprecedented performance levels with moderate accuracy. The code will be made available upon publication.
{"title":"A survey on machine learning system for intraductal papillary mucinous neoplasms detection","authors":"Madhuri Martis, Subramanya Bhat, Sreenivasa B R","doi":"10.30574/ijsra.2024.12.2.1308","DOIUrl":"https://doi.org/10.30574/ijsra.2024.12.2.1308","url":null,"abstract":"IPMN cysts, a pre-malignant risk to the pancreas, have the potential to develop into pancreatic cancer. Accurately identifying and evaluating the risk level is crucial for planning an efficient treatment strategy. However, this task is immensely challenging due to the varied and irregular shapes, textures, and sizes of IPMN cysts, as well as those of the pancreas itself. In this study, we introduce a new computer-aided diagnostic approach for classifying IPMN risk levels based on multi-contrast MRI scans. The proposed analysis framework comprises an efficient volumetric self-adapting segmentation strategy for delineating the pancreas, followed by a newly developed deep learning-based classification scheme incorporating a radiomics-based predictive approach. To evaluate the proposed decision-fusion model, we use multi-centre datasets and multi-contrast MRI scans, aiming to achieve superior performance compared to the current state of the art in this field. The ablation studies illustrate the importance of both radiomics and deep learning modules in achieving a new state-of-the-art (SOTA) performance compared to international guidelines and published studies (81.9% vs 61.3% in accuracy). These key findings carry significant implications for clinical decision-making, potentially revolutionizing the way IPMN risk levels are classified. Through a series of rigorous experiments on multi-centre datasets (involving more MRI scans from five centers), we attained unprecedented performance levels with moderate accuracy. The code will be made available upon publication.","PeriodicalId":14366,"journal":{"name":"International Journal of Science and Research Archive","volume":"4 2","pages":""},"PeriodicalIF":0.0,"publicationDate":"2024-07-30","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"141796094","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: 10.30574/ijsra.2024.12.2.1273
Mohammad Aniq Bin, Mohammad Aniq, Bin Amdan, Naldo Janius, Mohd Aidil, Hazidi Bin Kasdiah
The concept paper identifies the relationship of Artificial Intelligence (AI) towards teaching and learning in STEM education. AI can really revolutionize STEM education if AI-powered tools are in place to ensure that each of the students receives personalized instructions, intelligent tutoring, and interactive simulations. Not only this, but they even grade assignments or quizzes that are submitted automatically and prove predictions with analytics to create efficiency and effectiveness in STEM pedagogy. However, there is a limited quantity of primary research regarding the actual impacts of such AI technologies. The paper will hence fill this gap by making an in-depth assessment of the application of AI tools in STEM classrooms. If strategically deployed, AI has huge potential to improve student mastery in STEM, increase learner motivation and autonomy, and allow teachers to become more personalized in their support. However, it also identifies challenges of equitable access, bias in algorithms, and wishing that the teachers have robust training programs. It thus proposes, based on the results, key recommendations that include developing ethical guidelines, investing in professional development, and designing AI systems accommodating diverse learning needs. To be precise, this research provides relevant empirical evidence and some practical guidance for education stakeholders to harness the transformative power of AI for STEM learning
{"title":"Concept paper: Efficiency of Artificial Intelligence (AI) tools For STEM Education In Malaysia","authors":"Mohammad Aniq Bin, Mohammad Aniq, Bin Amdan, Naldo Janius, Mohd Aidil, Hazidi Bin Kasdiah","doi":"10.30574/ijsra.2024.12.2.1273","DOIUrl":"https://doi.org/10.30574/ijsra.2024.12.2.1273","url":null,"abstract":"The concept paper identifies the relationship of Artificial Intelligence (AI) towards teaching and learning in STEM education. AI can really revolutionize STEM education if AI-powered tools are in place to ensure that each of the students receives personalized instructions, intelligent tutoring, and interactive simulations. Not only this, but they even grade assignments or quizzes that are submitted automatically and prove predictions with analytics to create efficiency and effectiveness in STEM pedagogy. However, there is a limited quantity of primary research regarding the actual impacts of such AI technologies. The paper will hence fill this gap by making an in-depth assessment of the application of AI tools in STEM classrooms. If strategically deployed, AI has huge potential to improve student mastery in STEM, increase learner motivation and autonomy, and allow teachers to become more personalized in their support. However, it also identifies challenges of equitable access, bias in algorithms, and wishing that the teachers have robust training programs. It thus proposes, based on the results, key recommendations that include developing ethical guidelines, investing in professional development, and designing AI systems accommodating diverse learning needs. To be precise, this research provides relevant empirical evidence and some practical guidance for education stakeholders to harness the transformative power of AI for STEM learning","PeriodicalId":14366,"journal":{"name":"International Journal of Science and Research Archive","volume":"3 8","pages":""},"PeriodicalIF":0.0,"publicationDate":"2024-07-30","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"141796255","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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