Through the transformation of conventional anatomy education techniques, the incorporation of augmented reality (AR) into medical training is revolutionising healthcare education. This creative method uses augmented reality (AR) tools, such as Microsoft® HoloLens II, to improve anatomy lab courses and give students a more engaging and dynamic learning environment. Medical schools can simplify anatomy instruction by using holograms to replicate human dissection. This allows students to study intricate anatomical structures in a step-by-step three-dimensional presentation. In addition to optimising the amount of time spent on dissection, this move towards AR-based learning creates new opportunities for remote and independent learning that meet the needs and preferences of a wide range of learners. Furthermore, the challenges that traditional cadaver-based anatomy instruction faces are addressed by integrating AR into medical education. AR offers a thorough and captivating learning environment because it can present anatomical material in different sequences, from superficial to deep structures, or by creating functional body units. Clinical correlations can be easily incorporated into lessons to improve students' comprehension and memorization of anatomy. The future of augmented reality (AR) in medical education appears bright, with potential breakthroughs in pathology, histology, and surgical applications, despite obstacles like realism constraints and technological complexity. Key Words: Augmented Reality (AR), Medical Training, Healthcare Education, Microsoft HoloLens, Anatomy Education, Validation Process
通过对传统解剖学教育技术的改造，将增强现实技术（AR）融入医学培训正在彻底改变医疗保健教育。这种创造性的方法使用增强现实（AR）工具（如 Microsoft® HoloLens II）来改进解剖实验课程，为学生提供更有吸引力、更动态的学习环境。医学院可以通过使用全息图复制人体解剖来简化解剖教学。这样，学生就可以通过逐步的三维演示来学习复杂的解剖结构。除了优化用于解剖的时间外，这种基于 AR 的学习方式还为远程和独立学习创造了新的机会，满足了各种学习者的需求和偏好。此外，通过将 AR 技术融入医学教育，传统的尸体解剖教学所面临的挑战也迎刃而解。AR 可以按不同顺序展示解剖材料，从浅层结构到深层结构，或通过创建功能性身体单元，从而提供一个全面而有吸引力的学习环境。临床相关内容可以很容易地融入到课程中，以提高学生对解剖学的理解和记忆。尽管存在现实限制和技术复杂性等障碍，但增强现实（AR）在医学教育中的前景似乎一片光明，有望在病理学、组织学和外科应用方面取得突破。关键字增强现实（AR）、医学培训、医疗保健教育、微软HoloLens、解剖学教育、验证过程
{"title":"REVOLUTIONIZING HEALTHCARE THROUGH AUGMENTED REALITY INTEGRATION IN MEDICAL TRAINING","authors":"Dr. Arjun B. C","doi":"10.55041/isjem01707","DOIUrl":"https://doi.org/10.55041/isjem01707","url":null,"abstract":"Through the transformation of conventional anatomy education techniques, the incorporation of augmented reality (AR) into medical training is revolutionising healthcare education. This creative method uses augmented reality (AR) tools, such as Microsoft® HoloLens II, to improve anatomy lab courses and give students a more engaging and dynamic learning environment. Medical schools can simplify anatomy instruction by using holograms to replicate human dissection. This allows students to study intricate anatomical structures in a step-by-step three-dimensional presentation. In addition to optimising the amount of time spent on dissection, this move towards AR-based learning creates new opportunities for remote and independent learning that meet the needs and preferences of a wide range of learners. Furthermore, the challenges that traditional cadaver-based anatomy instruction faces are addressed by integrating AR into medical education. AR offers a thorough and captivating learning environment because it can present anatomical material in different sequences, from superficial to deep structures, or by creating functional body units. Clinical correlations can be easily incorporated into lessons to improve students' comprehension and memorization of anatomy. The future of augmented reality (AR) in medical education appears bright, with potential breakthroughs in pathology, histology, and surgical applications, despite obstacles like realism constraints and technological complexity. Key Words: Augmented Reality (AR), Medical Training, Healthcare Education, Microsoft HoloLens, Anatomy Education, Validation Process","PeriodicalId":285811,"journal":{"name":"International Scientific Journal of Engineering and Management","volume":"97 8","pages":""},"PeriodicalIF":0.0,"publicationDate":"2024-05-23","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"141106124","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
The present scenario focus interest in nutrition and health awareness, consumers are increasingly seeking high- quality functional products with acceptable sensory attributes. The primary objective of current research was to optimize the process for developing Carbonated Ready-to-serve (RTS) functional millet-based whey beverage malted ragi (5%,7%,9) on the sensory and physico-chemical aspects of Carbonated RTS functional millet-based whey beverage. Based on the analytical result, the functional beverage contained 5% Malted Finger Millet and was subjected for shelf-life tests. Sensory evaluation, as well as titratable acidity and pH analysis, was conducted for the samples stored at refrigeration temperature (7±1⁰C) and for those stored at room temperature (30±1⁰C) in glass bottle as the packaging material. The carbonated and non-carbonated RTS functional millet-based whey beverage and the control were found to be acceptable up to 2 days of storage at room temperature (30±1⁰C) and for 8 days stored at refrigeration temperature (7±1⁰C), respectively. The developed carbonated RTS functional millet based whey beverage is an innovative and nutritious product with enormous health benefits as it contains nutraceutical ingredient i.e. finger millet ( power house of nutrients). The developed functional millet based whey beverage can be given to all age groups and can be easily commercialized.
{"title":"Effect Of Malted Ragi Powder On The Sensory Attributes of Carbonated RTS Functional Millet Based Whey Beverage","authors":"Zeba Ahmed,","doi":"10.55041/isjem01708","DOIUrl":"https://doi.org/10.55041/isjem01708","url":null,"abstract":"The present scenario focus interest in nutrition and health awareness, consumers are increasingly seeking high- quality functional products with acceptable sensory attributes. The primary objective of current research was to optimize the process for developing Carbonated Ready-to-serve (RTS) functional millet-based whey beverage malted ragi (5%,7%,9) on the sensory and physico-chemical aspects of Carbonated RTS functional millet-based whey beverage. Based on the analytical result, the functional beverage contained 5% Malted Finger Millet and was subjected for shelf-life tests. Sensory evaluation, as well as titratable acidity and pH analysis, was conducted for the samples stored at refrigeration temperature (7±1⁰C) and for those stored at room temperature (30±1⁰C) in glass bottle as the packaging material. The carbonated and non-carbonated RTS functional millet-based whey beverage and the control were found to be acceptable up to 2 days of storage at room temperature (30±1⁰C) and for 8 days stored at refrigeration temperature (7±1⁰C), respectively. The developed carbonated RTS functional millet based whey beverage is an innovative and nutritious product with enormous health benefits as it contains nutraceutical ingredient i.e. finger millet ( power house of nutrients). The developed functional millet based whey beverage can be given to all age groups and can be easily commercialized.","PeriodicalId":285811,"journal":{"name":"International Scientific Journal of Engineering and Management","volume":"30 7","pages":""},"PeriodicalIF":0.0,"publicationDate":"2024-05-23","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"141107357","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 study evaluates the effectiveness of training and development programs at Tata Steel Ltd., focusing on their alignment with organizational strategies and their impact on employee performance. The primary objective is to assess how these programs contribute to organizational competitiveness and employee skill enhancement in the 21st century. Using purposive sampling technique, data was gathered from a sample of 100 employees who have participated in the company's training initiatives. The findings reveal that a majority of employees (98%) recognize training as integral to the organization's strategy and effective in enhancing productivity. However, discrepancies in perceptions suggest the need for improved communication and training customization. Keywords: Training, Training effectiveness, Training programmer, Evaluation of Training, development.
{"title":"Assessing The Effectiveness of Training and Development Programmes on Employee Performance at Tata Steel Ltd.","authors":"Ms. Mehbish Khan,","doi":"10.55041/isjem01709","DOIUrl":"https://doi.org/10.55041/isjem01709","url":null,"abstract":"This study evaluates the effectiveness of training and development programs at Tata Steel Ltd., focusing on their alignment with organizational strategies and their impact on employee performance. The primary objective is to assess how these programs contribute to organizational competitiveness and employee skill enhancement in the 21st century. Using purposive sampling technique, data was gathered from a sample of 100 employees who have participated in the company's training initiatives. The findings reveal that a majority of employees (98%) recognize training as integral to the organization's strategy and effective in enhancing productivity. However, discrepancies in perceptions suggest the need for improved communication and training customization. Keywords: Training, Training effectiveness, Training programmer, Evaluation of Training, development.","PeriodicalId":285811,"journal":{"name":"International Scientific Journal of Engineering and Management","volume":"29 1","pages":""},"PeriodicalIF":0.0,"publicationDate":"2024-05-23","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"141104183","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
The research paper explores into the use of digital tools in talent acquisition, focusing on sourcing, screening, and shortlisting applicants. In today's digital age, recruitment has adopted a variety of digital tools, including video job descriptions (JDs) and resumes. These technologies make it possible to examine candidates efficiently, focusing on communication skills, personality, and cultural fit before inviting them to interviews. Keyword utilization speeds up applicant selection based on qualifications and experience. Following the initial screening, AI-driven questionnaires assess candidates' job-related skills and knowledge. This ensures that only the most competent candidates make it to HR and stakeholder interviews. These in-person or virtual interviews test interpersonal skills and problem-solving ability. Following completion, successful applicants go through onboarding, which includes team introductions and resource allocation for effective role performance. Talent acquisition has been altered by digital technologies like as video JDs, resumes, AI questions, and virtual interviews. This saves time and resources while also increasing productivity, employee satisfaction, and organizational success. Keywords— Talent Acquisition, Methodology, Stages, Challenges, E-Recruitment.
{"title":"A Study of Talent Acquisition Lifecycle – A Review on Pyxidia Techlab","authors":"Soumya Rathore","doi":"10.55041/isjem01715","DOIUrl":"https://doi.org/10.55041/isjem01715","url":null,"abstract":"The research paper explores into the use of digital tools in talent acquisition, focusing on sourcing, screening, and shortlisting applicants. In today's digital age, recruitment has adopted a variety of digital tools, including video job descriptions (JDs) and resumes. These technologies make it possible to examine candidates efficiently, focusing on communication skills, personality, and cultural fit before inviting them to interviews. Keyword utilization speeds up applicant selection based on qualifications and experience. Following the initial screening, AI-driven questionnaires assess candidates' job-related skills and knowledge. This ensures that only the most competent candidates make it to HR and stakeholder interviews. These in-person or virtual interviews test interpersonal skills and problem-solving ability. Following completion, successful applicants go through onboarding, which includes team introductions and resource allocation for effective role performance. Talent acquisition has been altered by digital technologies like as video JDs, resumes, AI questions, and virtual interviews. This saves time and resources while also increasing productivity, employee satisfaction, and organizational success. Keywords— Talent Acquisition, Methodology, Stages, Challenges, E-Recruitment.","PeriodicalId":285811,"journal":{"name":"International Scientific Journal of Engineering and Management","volume":"35 1","pages":""},"PeriodicalIF":0.0,"publicationDate":"2024-05-23","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"141107052","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}
Competency mapping has emerged as a crucial tool for aligning individual skills with organizational objectives. In today's rapidly evolving business landscape, organizations are continually challenged to enhance employee performance to remain competitive and achieve their strategic goals. The study focuses on competency mapping in HYUNDAI WIA with 217 respondents. This abstract outlines a comprehensive initiative aimed at competency mapping and its profound impact on employee performance. The conceptual foundations of competency mapping, exploring its evolution from traditional job descriptions to dynamic skill-based models aligned with contemporary business needs. The study investigates how organizations identify, assess, and leverage competencies to enhance employee performance, drive talent management strategies, and achieve competitive advantages. The findings of this study have practical implications for HR practitioners, organizational leaders, and policymakers seeking to optimize human capital management strategies and drive sustainable business growth in a rapidly evolving global landscape. The study aims to highlight certain behavioral characteristics that influence competency mapping performance. This study encompasses vital part of behavioral characteristics enhancing the performance of competency mapping as a strategic tool for organization. Key Words—Behavioral Traits, Competence Mapping, Competence, Employee Performance
{"title":"A STUDY ON COMPETENCY MAPPING WITH REFERENCE TO HYUNDAI WIA","authors":"D. V","doi":"10.55041/isjem01706","DOIUrl":"https://doi.org/10.55041/isjem01706","url":null,"abstract":"Competency mapping has emerged as a crucial tool for aligning individual skills with organizational objectives. In today's rapidly evolving business landscape, organizations are continually challenged to enhance employee performance to remain competitive and achieve their strategic goals. The study focuses on competency mapping in HYUNDAI WIA with 217 respondents. This abstract outlines a comprehensive initiative aimed at competency mapping and its profound impact on employee performance. The conceptual foundations of competency mapping, exploring its evolution from traditional job descriptions to dynamic skill-based models aligned with contemporary business needs. The study investigates how organizations identify, assess, and leverage competencies to enhance employee performance, drive talent management strategies, and achieve competitive advantages. The findings of this study have practical implications for HR practitioners, organizational leaders, and policymakers seeking to optimize human capital management strategies and drive sustainable business growth in a rapidly evolving global landscape. The study aims to highlight certain behavioral characteristics that influence competency mapping performance. This study encompasses vital part of behavioral characteristics enhancing the performance of competency mapping as a strategic tool for organization. Key Words—Behavioral Traits, Competence Mapping, Competence, Employee Performance","PeriodicalId":285811,"journal":{"name":"International Scientific Journal of Engineering and Management","volume":"28 7","pages":""},"PeriodicalIF":0.0,"publicationDate":"2024-05-23","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"141107931","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}
Artificial intelligence (AI) is rapidly transforming the marketing landscape. This literature-based study explores the diverse applications of AI in marketing functions, drawing insights from academic journals, industry reports, and marketing publications. The study examines how AI personalizes marketing efforts through targeted advertising and content marketing, while also investigating its role in customer relationship management (CRM). It delves deeper into AI's influence on market research and marketing ROI (Return on Investment) optimization. By analyzing these applications, the study aims to provide a comprehensive understanding of how AI is shaping the future of marketing. Keywords: Artificial intelligence (AI), machine learning, customer segmentation, targeted advertising, content personalization, CRM, market research, marketing ROI, chatbots, recommendation engines, customer churn prediction.
{"title":"Impact of Artificial Intelligence on Marketing strategies with reference to MNCs","authors":"Babar Mushtaq","doi":"10.55041/isjem01721","DOIUrl":"https://doi.org/10.55041/isjem01721","url":null,"abstract":"Artificial intelligence (AI) is rapidly transforming the marketing landscape. This literature-based study explores the diverse applications of AI in marketing functions, drawing insights from academic journals, industry reports, and marketing publications. The study examines how AI personalizes marketing efforts through targeted advertising and content marketing, while also investigating its role in customer relationship management (CRM). It delves deeper into AI's influence on market research and marketing ROI (Return on Investment) optimization. By analyzing these applications, the study aims to provide a comprehensive understanding of how AI is shaping the future of marketing. Keywords: Artificial intelligence (AI), machine learning, customer segmentation, targeted advertising, content personalization, CRM, market research, marketing ROI, chatbots, recommendation engines, customer churn prediction.","PeriodicalId":285811,"journal":{"name":"International Scientific Journal of Engineering and Management","volume":"40 16","pages":""},"PeriodicalIF":0.0,"publicationDate":"2024-05-23","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"141103563","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}
In today's digital world, professional networking sites like LinkedIn require novel approaches to catch attention and encourage interaction. This research looks at the effect of visual content on LinkedIn's marketing strategy. The study investigates how using visuals like photos, infographics, and videos affects important metrics including user engagement, brand recognition, and lead generation. It investigates how visual content satisfies the platform's algorithm, potentially enhancing organic reach and exposure. Furthermore, the study looks at the psychological elements of visual content consumption on LinkedIn. It investigates how images may improve information retention, elicit emotions, and promote brand storytelling to create a more compelling marketing message. The study intends to establish a link between the utilization of visual material and effective LinkedIn marketing outcomes by analyzing user behavior and content performance statistics. The findings might be useful for people and organizations looking to improve their LinkedIn presence and achieve marketing objectives. Keywords: LinkedIn marketing strategies, Visual content impact, User Engagement, Brand awareness, Lead generation, Organic reach, Content performance data, psychological aspects, Information retention, Brand storytelling
{"title":"Impact Of Visual Content In LinkedIn Marketing Strategies","authors":"Priya Nayak","doi":"10.55041/isjem01718","DOIUrl":"https://doi.org/10.55041/isjem01718","url":null,"abstract":"In today's digital world, professional networking sites like LinkedIn require novel approaches to catch attention and encourage interaction. This research looks at the effect of visual content on LinkedIn's marketing strategy. The study investigates how using visuals like photos, infographics, and videos affects important metrics including user engagement, brand recognition, and lead generation. It investigates how visual content satisfies the platform's algorithm, potentially enhancing organic reach and exposure. Furthermore, the study looks at the psychological elements of visual content consumption on LinkedIn. It investigates how images may improve information retention, elicit emotions, and promote brand storytelling to create a more compelling marketing message. The study intends to establish a link between the utilization of visual material and effective LinkedIn marketing outcomes by analyzing user behavior and content performance statistics. The findings might be useful for people and organizations looking to improve their LinkedIn presence and achieve marketing objectives. Keywords: LinkedIn marketing strategies, Visual content impact, User Engagement, Brand awareness, Lead generation, Organic reach, Content performance data, psychological aspects, Information retention, Brand storytelling","PeriodicalId":285811,"journal":{"name":"International Scientific Journal of Engineering and Management","volume":"34 10","pages":""},"PeriodicalIF":0.0,"publicationDate":"2024-05-23","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"141104117","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
The abstract outlines a study focused on the stability and effectiveness of a screw feeding mechanism designed for the outlet of pulping material in a screw reactor. This reactor functions as a continuous system where material is transported and mixed by a screw (augur). The study emphasizes the importance of operational conditions in influencing the process outcomes. To efficiently understand and optimize the system, the researchers employed modelling techniques, which are often quicker and more cost-effective than conducting experiments. The paper provides a comprehensive list of modelling approaches, both validated by experiments and theoretical, that is applicable to various aspects of screw reactor operation. Additionally, the study delves into new product development, specifically shaping a conical screw feeding reactor along with its shaft and flights design. A crucial aspect analyzed is the radial force effect on the flight surface during spiral rotation. Structural engineering techniques were employed to ensure the sustainability of the design, with validation results confirming its effectiveness. Keywords: Screw, Radial Force, Pulping Material
{"title":"Performance Improvement of Flow Rate of Spiral Chip Feeder in Domestic Cattle Manure monitor Making Machine","authors":"M. N. P. Kawade","doi":"10.55041/isjem01497","DOIUrl":"https://doi.org/10.55041/isjem01497","url":null,"abstract":"The abstract outlines a study focused on the stability and effectiveness of a screw feeding mechanism designed for the outlet of pulping material in a screw reactor. This reactor functions as a continuous system where material is transported and mixed by a screw (augur). The study emphasizes the importance of operational conditions in influencing the process outcomes. To efficiently understand and optimize the system, the researchers employed modelling techniques, which are often quicker and more cost-effective than conducting experiments. The paper provides a comprehensive list of modelling approaches, both validated by experiments and theoretical, that is applicable to various aspects of screw reactor operation. Additionally, the study delves into new product development, specifically shaping a conical screw feeding reactor along with its shaft and flights design. A crucial aspect analyzed is the radial force effect on the flight surface during spiral rotation. Structural engineering techniques were employed to ensure the sustainability of the design, with validation results confirming its effectiveness. Keywords: Screw, Radial Force, Pulping Material","PeriodicalId":285811,"journal":{"name":"International Scientific Journal of Engineering and Management","volume":"1 4","pages":""},"PeriodicalIF":0.0,"publicationDate":"2024-04-23","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"140671911","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
The proposed solution for detecting false news involves a combination of Natural Language Processing (NLP) techniques, Reinforcement Learning (RL), and blockchain technology. The process begins with the collection of a comprehensive dataset of news articles and their associated metadata, followed by NLP-based pre-processing to clean and tokenize the text. Relevant features, such as word frequencies and readability, are then extracted and used to train an RL agent. The agent is trained to distinguish between true and false news using a reward and punishment system for learning. Once trained, the RL agent can classify new articles as true or false based on their extracted features. Although the potential role of blockchain technology is mentioned, further elaboration is required. This innovative approach is aimed at combating the dissemination of false information and misinformation in the digital news. Keywords: Natural Language Processing (NLP), Block chain, Fake Media
{"title":"10.55041/ISJEM01502","authors":"Aishwarya .S","doi":"10.55041/isjem01502","DOIUrl":"https://doi.org/10.55041/isjem01502","url":null,"abstract":"The proposed solution for detecting false news involves a combination of Natural Language Processing (NLP) techniques, Reinforcement Learning (RL), and blockchain technology. The process begins with the collection of a comprehensive dataset of news articles and their associated metadata, followed by NLP-based pre-processing to clean and tokenize the text. Relevant features, such as word frequencies and readability, are then extracted and used to train an RL agent. The agent is trained to distinguish between true and false news using a reward and punishment system for learning. Once trained, the RL agent can classify new articles as true or false based on their extracted features. Although the potential role of blockchain technology is mentioned, further elaboration is required. This innovative approach is aimed at combating the dissemination of false information and misinformation in the digital news. Keywords: Natural Language Processing (NLP), Block chain, Fake Media","PeriodicalId":285811,"journal":{"name":"International Scientific Journal of Engineering and Management","volume":"91 4","pages":""},"PeriodicalIF":0.0,"publicationDate":"2024-04-23","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"140670521","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}
Opioid Risk Antibiotics Resistance abuse, overdose, and drug addiction have become public health concerns as a result of the notable increase in the use of both prescribed and over-the-counter medications in the United States. The growing incidence of opioid usage presents a complex public health issue, one of which is the possible influence on antibiotic resistance. The existing system predicts antibiotic resistance profiles in bacterial infections among hospitalized patients using machine learning (ML) algorithms and electronic medical records (EMRs). However, it ignores the impact of opioid use, a major public health issue that may be connected to antibiotic resistance. The complex association between opioid-related behaviors and antibiotic resistance may not be adequately captured by powerful machine learning algorithms, despite their use. The larger context of antibiotic resistance patterns is limited by the lack of linkage with data on opioid intake. The proposed abstract aims to improve predictive accuracy and understanding of the complex factors influencing antibiotic resistance emergence by integrating support vector machines (SVM) and linear regression to thoroughly analyse the relationship between opioid risk and antibiotic resistance. This approach addresses these limitations. We suggested combining linear regression and support vector machines (SVM) to better understand the complex connection between opioid risk and antibiotic resistance. In order to pinpoint the main causes of increased risk, trends in opioid consumption data are analyzed using the SVM model. In parallel, the relationship between opioid abuse and the rise in antibiotic resistance is examined using linear regression. Our goal is to have a thorough grasp of the complex relationship between opioid-related behaviors and the emergence of antibiotic resistance by combining these two analytical approaches. This project is designed under NetBeans with java as front end. Weka tool for machine learning analysis Keywords: Antibiotic Resistance, Machine Learning, Bacterial Infections, Global Crisis, Healthcare.
{"title":"ANTIBIOTICS RESISTANCE PREDICTION USING MACHINE LEARNING ALGORITHMS","authors":"Bharathi A","doi":"10.55041/isjem01501","DOIUrl":"https://doi.org/10.55041/isjem01501","url":null,"abstract":"Opioid Risk Antibiotics Resistance abuse, overdose, and drug addiction have become public health concerns as a result of the notable increase in the use of both prescribed and over-the-counter medications in the United States. The growing incidence of opioid usage presents a complex public health issue, one of which is the possible influence on antibiotic resistance. The existing system predicts antibiotic resistance profiles in bacterial infections among hospitalized patients using machine learning (ML) algorithms and electronic medical records (EMRs). However, it ignores the impact of opioid use, a major public health issue that may be connected to antibiotic resistance. The complex association between opioid-related behaviors and antibiotic resistance may not be adequately captured by powerful machine learning algorithms, despite their use. The larger context of antibiotic resistance patterns is limited by the lack of linkage with data on opioid intake. The proposed abstract aims to improve predictive accuracy and understanding of the complex factors influencing antibiotic resistance emergence by integrating support vector machines (SVM) and linear regression to thoroughly analyse the relationship between opioid risk and antibiotic resistance. This approach addresses these limitations. We suggested combining linear regression and support vector machines (SVM) to better understand the complex connection between opioid risk and antibiotic resistance. In order to pinpoint the main causes of increased risk, trends in opioid consumption data are analyzed using the SVM model. In parallel, the relationship between opioid abuse and the rise in antibiotic resistance is examined using linear regression. Our goal is to have a thorough grasp of the complex relationship between opioid-related behaviors and the emergence of antibiotic resistance by combining these two analytical approaches. This project is designed under NetBeans with java as front end. Weka tool for machine learning analysis Keywords: Antibiotic Resistance, Machine Learning, Bacterial Infections, Global Crisis, Healthcare.","PeriodicalId":285811,"journal":{"name":"International Scientific Journal of Engineering and Management","volume":"12 11","pages":""},"PeriodicalIF":0.0,"publicationDate":"2024-04-23","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"140668122","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}
京公网安备 11010802042870号
京ICP备2023020795号-1
扫码关注我们
求助内容：
应助结果提醒方式：