Pub Date : 2024-01-15DOI: 10.47709/ijmdsa.v2i2.3452
Haroon Arif, Aashesh Kumar, Muhammad Fahad, Hafiz Khawar Hussain
In this extensive and comprehensive review paper, we delve into the dynamic landscape of artificial intelligence (AI)-enhanced threat detection within cloud environments. The evolution of this field, from traditional methodologies to the seamless integration of AI, is meticulously explored, providing a nuanced understanding of the transformative potential of AI in bolstering cyber security measures. The exploration encompasses a myriad of crucial aspects, offering readers a holistic view of the subject. The revolutionary impact of AI is scrutinized, emphasizing its role in reshaping the conventional paradigms of threat detection and response. The paper meticulously addresses current challenges in cloud security, providing insights into the multifaceted nature of contemporary threats and how AI serves as a robust defense mechanism. As we navigate through the intricacies of this field, the review paper sheds light on ongoing research prospects, presenting a roadmap for future endeavors. Real-world case studies are examined to illustrate the practical applications of AI-enhanced threat detection, offering valuable lessons and perspectives for decision-makers, researchers, and practitioners in the realm of cyber security. Ethical considerations are given due attention, as the integration of AI in threat detection raises important questions surrounding privacy, bias, and accountability. By analyzing current trajectories and emerging technologies, the article provides readers with a forward-looking perspective, helping them anticipate the evolving landscape of cyber security. In addition to exploring the technological facets, the paper emphasizes the importance of a collaborative approach and ongoing adaptation. The interconnected nature of threats in the digital realm necessitates a collective effort from industry experts, researchers, and policymakers. The review paper advocates for a holistic strategy that integrates AI technologies with human expertise to create a resilient defense against the ever-evolving landscape of cyber threats.
{"title":"Future Horizons: AI-Enhanced Threat Detection in Cloud Environments: Unveiling Opportunities for Research","authors":"Haroon Arif, Aashesh Kumar, Muhammad Fahad, Hafiz Khawar Hussain","doi":"10.47709/ijmdsa.v2i2.3452","DOIUrl":"https://doi.org/10.47709/ijmdsa.v2i2.3452","url":null,"abstract":"In this extensive and comprehensive review paper, we delve into the dynamic landscape of artificial intelligence (AI)-enhanced threat detection within cloud environments. The evolution of this field, from traditional methodologies to the seamless integration of AI, is meticulously explored, providing a nuanced understanding of the transformative potential of AI in bolstering cyber security measures. The exploration encompasses a myriad of crucial aspects, offering readers a holistic view of the subject. The revolutionary impact of AI is scrutinized, emphasizing its role in reshaping the conventional paradigms of threat detection and response. The paper meticulously addresses current challenges in cloud security, providing insights into the multifaceted nature of contemporary threats and how AI serves as a robust defense mechanism. As we navigate through the intricacies of this field, the review paper sheds light on ongoing research prospects, presenting a roadmap for future endeavors. Real-world case studies are examined to illustrate the practical applications of AI-enhanced threat detection, offering valuable lessons and perspectives for decision-makers, researchers, and practitioners in the realm of cyber security. Ethical considerations are given due attention, as the integration of AI in threat detection raises important questions surrounding privacy, bias, and accountability. By analyzing current trajectories and emerging technologies, the article provides readers with a forward-looking perspective, helping them anticipate the evolving landscape of cyber security. In addition to exploring the technological facets, the paper emphasizes the importance of a collaborative approach and ongoing adaptation. The interconnected nature of threats in the digital realm necessitates a collective effort from industry experts, researchers, and policymakers. The review paper advocates for a holistic strategy that integrates AI technologies with human expertise to create a resilient defense against the ever-evolving landscape of cyber threats.","PeriodicalId":243191,"journal":{"name":"International Journal of Multidisciplinary Sciences and Arts","volume":"52 1","pages":""},"PeriodicalIF":0.0,"publicationDate":"2024-01-15","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"140507726","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 : 2023-07-13DOI: 10.47709/ijmdsa.v2i1.2503
Himawan Himawan, Kelik Sussolaikah
Scientific publications in the form of scientific journals are one way for researchers to share information related to the results of research that has been done, besides that scientific publications can also be used to build the reputation of researchers both in the academic and research fields. However, there is a danger of publication which until now has not been known by novice researchers who have just entered the world of scientific publications, namely publication in predatory journals. This is an important thing that needs to be known well and also must be watched out for by novice researchers. This is because predatory journals are scientific journals that are not of good quality, where the journals that are managed are only for financial gain through expensive publication fees and do not pay attention to aspects of research quality and also a good peer review process in good governance. scientific journals. In researching and writing this journal, researchers discuss some of the dangers associated with publishing predatory journals for researchers in terms of decreasing academic reputation, publication costs and also falsification of research data published in a predatory journal. In addition, researchers also look at the specific and clear characteristics of journals that can be categorized as predatory journals.
{"title":"The Danger of Predator Journal Publication for Researchers","authors":"Himawan Himawan, Kelik Sussolaikah","doi":"10.47709/ijmdsa.v2i1.2503","DOIUrl":"https://doi.org/10.47709/ijmdsa.v2i1.2503","url":null,"abstract":"Scientific publications in the form of scientific journals are one way for researchers to share information related to the results of research that has been done, besides that scientific publications can also be used to build the reputation of researchers both in the academic and research fields. However, there is a danger of publication which until now has not been known by novice researchers who have just entered the world of scientific publications, namely publication in predatory journals. This is an important thing that needs to be known well and also must be watched out for by novice researchers. This is because predatory journals are scientific journals that are not of good quality, where the journals that are managed are only for financial gain through expensive publication fees and do not pay attention to aspects of research quality and also a good peer review process in good governance. scientific journals. In researching and writing this journal, researchers discuss some of the dangers associated with publishing predatory journals for researchers in terms of decreasing academic reputation, publication costs and also falsification of research data published in a predatory journal. In addition, researchers also look at the specific and clear characteristics of journals that can be categorized as predatory journals.","PeriodicalId":243191,"journal":{"name":"International Journal of Multidisciplinary Sciences and Arts","volume":"10 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2023-07-13","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"132713248","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 : 2023-07-05DOI: 10.47709/ijmdsa.v2i1.2490
R. Zubaedah, S. H. Loppies, F. Xaverius
Houses are the primary needs of everyone other than clothing and food needs. When consumers choose a house criteria that are used such as facilities, payment methods, type of house, land area, number of rooms, bathrooms, kitchens, living rooms, models, prices, developers and housing names. Sometimes choosing a house is difficult because of the many criteria that you always want to meet in accordance with consumer standards. The existence of a system is expected to help consumers provide alternatives in accordance with the choice of criteria as input and output systems in the form of alternative sequences of results from the system. The use of the Analytical Hierarchy Process (AHP) method solves a complex situation that is not structured into several components in a hierarchical arrangement, by giving subjective values ??about the relative importance of each variable, and determining which variables have the highest priority to influence the results. Data collection methods used are literature studies, interviews and observations. The test method is a test for interface functionality and application questionnaire. The results obtained by this system are in the form of a decision support system that can provide an alternative selection of houses that can be used as a comparison with the choice of criteria according to consumer
{"title":"Decision Support System for Selecting House using Analythical Hierarchy Process","authors":"R. Zubaedah, S. H. Loppies, F. Xaverius","doi":"10.47709/ijmdsa.v2i1.2490","DOIUrl":"https://doi.org/10.47709/ijmdsa.v2i1.2490","url":null,"abstract":"Houses are the primary needs of everyone other than clothing and food needs. When consumers choose a house criteria that are used such as facilities, payment methods, type of house, land area, number of rooms, bathrooms, kitchens, living rooms, models, prices, developers and housing names. Sometimes choosing a house is difficult because of the many criteria that you always want to meet in accordance with consumer standards. The existence of a system is expected to help consumers provide alternatives in accordance with the choice of criteria as input and output systems in the form of alternative sequences of results from the system. The use of the Analytical Hierarchy Process (AHP) method solves a complex situation that is not structured into several components in a hierarchical arrangement, by giving subjective values ??about the relative importance of each variable, and determining which variables have the highest priority to influence the results. Data collection methods used are literature studies, interviews and observations. The test method is a test for interface functionality and application questionnaire. The results obtained by this system are in the form of a decision support system that can provide an alternative selection of houses that can be used as a comparison with the choice of criteria according to consumer","PeriodicalId":243191,"journal":{"name":"International Journal of Multidisciplinary Sciences and Arts","volume":"67 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2023-07-05","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"125878526","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 : 2023-07-02DOI: 10.47709/ijmdsa.v2i1.2485
Hind Salem, Azaa Kindi, M. Mohammad, Zahraa Hamad, Mohammad A. Tashtoush
This study aimed to investigate the role of the Synthetic Strategy on the development of mathematical creative thinking skills. The study sample consisted of (46) eighth-grade female students who were divided into two groups: an experimental group of (24) students taught linear equations using the Synthetic strategy, and a control group of (22) students taught using the traditional method. An experimental approach was employed, and a test for mathematical creative thinking was prepared. A pre-test and post-test were administered to both study groups, and their validity and reliability were confirmed. The Synthetic strategy was applied to teach solving linear equations. The results revealed a difference in the level of mathematical creative thinking in favor of the experimental group, and statistically significant differences were found between the mean scores of the two groups in mathematical creative thinking skills, which were attributed to the teaching strategy and in favor of the Synthetic strategy. Finally, the study recommended using the Synthetic strategy to teach linear equation and diversifying teaching strategies. It also suggested conducting further studies and research to explore the impact of different teaching strategies on the development of mathematical creative thinking skills.
{"title":"The Synthetic Strategy and its Role to developing the Mathematical Creative Thinking Skills","authors":"Hind Salem, Azaa Kindi, M. Mohammad, Zahraa Hamad, Mohammad A. Tashtoush","doi":"10.47709/ijmdsa.v2i1.2485","DOIUrl":"https://doi.org/10.47709/ijmdsa.v2i1.2485","url":null,"abstract":"This study aimed to investigate the role of the Synthetic Strategy on the development of mathematical creative thinking skills. The study sample consisted of (46) eighth-grade female students who were divided into two groups: an experimental group of (24) students taught linear equations using the Synthetic strategy, and a control group of (22) students taught using the traditional method. An experimental approach was employed, and a test for mathematical creative thinking was prepared. A pre-test and post-test were administered to both study groups, and their validity and reliability were confirmed. The Synthetic strategy was applied to teach solving linear equations. The results revealed a difference in the level of mathematical creative thinking in favor of the experimental group, and statistically significant differences were found between the mean scores of the two groups in mathematical creative thinking skills, which were attributed to the teaching strategy and in favor of the Synthetic strategy. Finally, the study recommended using the Synthetic strategy to teach linear equation and diversifying teaching strategies. It also suggested conducting further studies and research to explore the impact of different teaching strategies on the development of mathematical creative thinking skills.","PeriodicalId":243191,"journal":{"name":"International Journal of Multidisciplinary Sciences and Arts","volume":"26 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2023-07-02","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"131971123","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 : 2023-06-17DOI: 10.47709/ijmdsa.v2i1.2420
Mohammad A. Tashtoush, Samah Abri, Asma Hamadi, Maryam Mazroui, Maryam Sadi
This study aimed to identify the practices and challenges faced by primary school female teachers when implementing the distance learning strategy in teaching mathematics, based on two variables: number of years of service and the number of technical training courses and programs. The study sample consisted of (47) teachers from the primary school female teachers. A validated and reliable questionnaire was administered. The results showed that there are some challenges facing teachers when implementing the distance learning strategy, such as increased workload and tasks, weak and intermittent internet connectivity, and the need for greater effort compared to traditional teaching methods. The results also showed that teachers who have received a higher number of technical training courses and have fewer years of service face fewer challenges compared to newly appointed teachers who have not undergone an adequate number of technical training courses.
{"title":"Distance Learning in Teaching Mathematics: Perspective and Challenges of Primary School Teachers","authors":"Mohammad A. Tashtoush, Samah Abri, Asma Hamadi, Maryam Mazroui, Maryam Sadi","doi":"10.47709/ijmdsa.v2i1.2420","DOIUrl":"https://doi.org/10.47709/ijmdsa.v2i1.2420","url":null,"abstract":"This study aimed to identify the practices and challenges faced by primary school female teachers when implementing the distance learning strategy in teaching mathematics, based on two variables: number of years of service and the number of technical training courses and programs. The study sample consisted of (47) teachers from the primary school female teachers. A validated and reliable questionnaire was administered. The results showed that there are some challenges facing teachers when implementing the distance learning strategy, such as increased workload and tasks, weak and intermittent internet connectivity, and the need for greater effort compared to traditional teaching methods. The results also showed that teachers who have received a higher number of technical training courses and have fewer years of service face fewer challenges compared to newly appointed teachers who have not undergone an adequate number of technical training courses.","PeriodicalId":243191,"journal":{"name":"International Journal of Multidisciplinary Sciences and Arts","volume":"42 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2023-06-17","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"123548137","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 : 2023-06-13DOI: 10.47709/ijmdsa.v2i1.2424
A. Khan
The healthcare sector now places a lot of emphasis on providing patients with personalized care that is catered to their unique requirements and features. A significant force behind the development and use of customized healthcare is artificial intelligence (AI). This essay examines the use of AI in personalized healthcare and how it can affect several facets of healthcare provision. The study starts out by talking about how AI is being used in diagnostics, emphasizing how machine learning algorithms and the examination of various datasets can improve diagnostic accuracy. It goes into more detail about how AI can be used to create tailored treatment plans, utilizing patient-specific data and predictive analytics to maximize therapeutic results and reduce side effects. Examined are the ethical issues surrounding AI in customized healthcare, such as data privacy, algorithmic bias, and the value of responsibility and openness. The integration of AI into clinical practice is also covered in the study, along with prospects for improving decision-making, streamlining workflow, and overall healthcare delivery effectiveness. The healthcare sector now places a lot of emphasis on providing patients with personalized care that is catered to their unique requirements and features. A significant force behind the development and use of customized healthcare is artificial intelligence (AI). This essay examines the use of AI in personalized healthcare and how it can affect several facets of healthcare provision. The study starts out by talking about how AI is being used in diagnostics, emphasizing how machine learning algorithms and the examination of various datasets can improve diagnostic accuracy. It goes into more detail about how AI can be used to create tailored treatment plans, utilizing patient-specific data and predictive analytics to maximize therapeutic results and reduce side effects. Examined are the ethical issues surrounding AI in customized healthcare, such as data privacy, algorithmic bias, and the value of responsibility and openness. The integration of AI into clinical practice is also covered in the study, along with prospects for improving decision-making, streamlining workflow, and overall healthcare delivery effectiveness.
{"title":"Transforming Healthcare through AI: Unleashing the Power of Personalized Medicine","authors":"A. Khan","doi":"10.47709/ijmdsa.v2i1.2424","DOIUrl":"https://doi.org/10.47709/ijmdsa.v2i1.2424","url":null,"abstract":"The healthcare sector now places a lot of emphasis on providing patients with personalized care that is catered to their unique requirements and features. A significant force behind the development and use of customized healthcare is artificial intelligence (AI). This essay examines the use of AI in personalized healthcare and how it can affect several facets of healthcare provision. The study starts out by talking about how AI is being used in diagnostics, emphasizing how machine learning algorithms and the examination of various datasets can improve diagnostic accuracy. It goes into more detail about how AI can be used to create tailored treatment plans, utilizing patient-specific data and predictive analytics to maximize therapeutic results and reduce side effects. Examined are the ethical issues surrounding AI in customized healthcare, such as data privacy, algorithmic bias, and the value of responsibility and openness. The integration of AI into clinical practice is also covered in the study, along with prospects for improving decision-making, streamlining workflow, and overall healthcare delivery effectiveness. The healthcare sector now places a lot of emphasis on providing patients with personalized care that is catered to their unique requirements and features. A significant force behind the development and use of customized healthcare is artificial intelligence (AI). This essay examines the use of AI in personalized healthcare and how it can affect several facets of healthcare provision. The study starts out by talking about how AI is being used in diagnostics, emphasizing how machine learning algorithms and the examination of various datasets can improve diagnostic accuracy. It goes into more detail about how AI can be used to create tailored treatment plans, utilizing patient-specific data and predictive analytics to maximize therapeutic results and reduce side effects. Examined are the ethical issues surrounding AI in customized healthcare, such as data privacy, algorithmic bias, and the value of responsibility and openness. The integration of AI into clinical practice is also covered in the study, along with prospects for improving decision-making, streamlining workflow, and overall healthcare delivery effectiveness. \u0000 \u0000 ","PeriodicalId":243191,"journal":{"name":"International Journal of Multidisciplinary Sciences and Arts","volume":"1 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2023-06-13","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"131286863","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 : 2023-06-09DOI: 10.47709/ijmdsa.v2i1.2395
Alexandra Harry
Artificial intelligence (AI) has the potential to completely change how healthcare is delivered, revolutionizing the healthcare sector. Precision diagnosis, proactive disease prevention, personalised treatment plans, real-time monitoring and intervention, improved medical imaging, streamlined healthcare workflows, ethical considerations, and the potential future implications of AI in healthcare are all explored in this paper. The first section describes how precision diagnosis using AI technologies is improving diagnostic accuracy. Personalised treatment regimens and earlier disease detection are made possible by machine learning algorithms' analysis of enormous volumes of patient data. Additionally, AI makes it possible to actively prevent disease by using predictive analytics to identify those who are most likely to develop a particular condition, enabling early intervention and tailored preventive actions. The second segment focuses on how AI is transforming therapeutic approaches. AI algorithms create individualised treatment regimens by analyzing patient data, including genetics, biomarkers, and information on therapy response. This maximizes treatment efficacy and minimizes side effects. Additionally, wearable technology and remote monitoring devices powered by AI allow for real-time monitoring and intervention, improving patient safety and lowering hospital readmissions. Examines how AI has affected medical imaging. Radiologists' efficiency and accuracy in identifying anomalies are increased by deep learning algorithms' analysis of complicated medical pictures like CT scans and MRIs. As a result, diagnoses are made more quickly and accurately, allowing for quicker interventions and better patient outcomes. The fourth chapter examines how AI streamlines medical procedures. Administrative responsibilities are reduced and errors are minimized by automating operations like appointment scheduling and documentation. By offering timely support and triaging symptoms, intelligent catboats and virtual assistants increase patient involvement and happiness. The fifth segment talks with ethical issues related to AI in healthcare. In order to create and use AI algorithms responsibly, patient privacy, data security, and bias mitigation are essential. Fair and equitable healthcare practices must be ensured by ethical standards and legal requirements. The abstract wraps off with a preview of the potential effects of AI on healthcare delivery in the future. Emerging medical technologies including telemedicine, robotics, predictive analytics, and AI-assisted surgery show immense promise for revolutionizing the industry. To overcome obstacles, maximize advantages, and guarantee a human-centric approach in the integration of AI in healthcare, cooperation between healthcare practitioners, technologists, policymakers, and ethicists is essential.
{"title":"The Future of Medicine: Harnessing the Power of AI for Revolutionizing Healthcare","authors":"Alexandra Harry","doi":"10.47709/ijmdsa.v2i1.2395","DOIUrl":"https://doi.org/10.47709/ijmdsa.v2i1.2395","url":null,"abstract":"Artificial intelligence (AI) has the potential to completely change how healthcare is delivered, revolutionizing the healthcare sector. Precision diagnosis, proactive disease prevention, personalised treatment plans, real-time monitoring and intervention, improved medical imaging, streamlined healthcare workflows, ethical considerations, and the potential future implications of AI in healthcare are all explored in this paper. The first section describes how precision diagnosis using AI technologies is improving diagnostic accuracy. Personalised treatment regimens and earlier disease detection are made possible by machine learning algorithms' analysis of enormous volumes of patient data. Additionally, AI makes it possible to actively prevent disease by using predictive analytics to identify those who are most likely to develop a particular condition, enabling early intervention and tailored preventive actions. The second segment focuses on how AI is transforming therapeutic approaches. AI algorithms create individualised treatment regimens by analyzing patient data, including genetics, biomarkers, and information on therapy response. This maximizes treatment efficacy and minimizes side effects. Additionally, wearable technology and remote monitoring devices powered by AI allow for real-time monitoring and intervention, improving patient safety and lowering hospital readmissions. Examines how AI has affected medical imaging. Radiologists' efficiency and accuracy in identifying anomalies are increased by deep learning algorithms' analysis of complicated medical pictures like CT scans and MRIs. As a result, diagnoses are made more quickly and accurately, allowing for quicker interventions and better patient outcomes. The fourth chapter examines how AI streamlines medical procedures. Administrative responsibilities are reduced and errors are minimized by automating operations like appointment scheduling and documentation. By offering timely support and triaging symptoms, intelligent catboats and virtual assistants increase patient involvement and happiness. The fifth segment talks with ethical issues related to AI in healthcare. In order to create and use AI algorithms responsibly, patient privacy, data security, and bias mitigation are essential. Fair and equitable healthcare practices must be ensured by ethical standards and legal requirements. The abstract wraps off with a preview of the potential effects of AI on healthcare delivery in the future. Emerging medical technologies including telemedicine, robotics, predictive analytics, and AI-assisted surgery show immense promise for revolutionizing the industry. To overcome obstacles, maximize advantages, and guarantee a human-centric approach in the integration of AI in healthcare, cooperation between healthcare practitioners, technologists, policymakers, and ethicists is essential. \u0000 ","PeriodicalId":243191,"journal":{"name":"International Journal of Multidisciplinary Sciences and Arts","volume":"91 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2023-06-09","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"115365247","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 : 2023-06-09DOI: 10.47709/ijmdsa.v2i1.2394
Aftab Tariq, Ahmad Yousaf Gill, Hafiz Khawar Hussain
The potential of artificial intelligence (AI) to transform value-based healthcare in the area of orthopedic surgery is examined in this research. Orthopedic surgeons and healthcare systems may improve patient outcomes, increase efficiency, and alter care delivery by combining AI algorithms, cutting-edge data analytics, and novel technology. Through case studies and success stories, the article provides a thorough study of the advantages and prospects provided by AI in orthopedic surgery. These instances demonstrate how AI has been successfully applied to several facets of orthopedic surgery, including as diagnosis, planning of the surgical course, surgical navigation, postoperative care, and resource allocation. The ethical and legal ramifications of using AI are also discussed in the study, with a focus on patient autonomy, privacy, accountability, and any potential effects on the healthcare workforce. The potential applications of AI in orthopedic surgery are examined, together with developments in preoperative planning, surgical robotics, remote monitoring, predictive analytics, personalised medicine, research, and innovation. The promise of AI in orthopedic surgery is obvious, despite issues with data quality, privacy, algorithm biases, and legal constraints. The ethical and appropriate application of AI technology in orthopedic surgery has the potential to significantly enhance patient outcomes, lower complications, boost efficiency, and change the way healthcare is provided. This study lays the groundwork for future study and application in the field of orthopedic surgery by offering insightful information on the role of AI in delivering value-based healthcare.
{"title":"Evaluating the Potential of Artificial Intelligence in Orthopedic Surgery for Value-based Healthcare","authors":"Aftab Tariq, Ahmad Yousaf Gill, Hafiz Khawar Hussain","doi":"10.47709/ijmdsa.v2i1.2394","DOIUrl":"https://doi.org/10.47709/ijmdsa.v2i1.2394","url":null,"abstract":"\u0000 \u0000 \u0000 \u0000 The potential of artificial intelligence (AI) to transform value-based healthcare in the area of orthopedic surgery is examined in this research. Orthopedic surgeons and healthcare systems may improve patient outcomes, increase efficiency, and alter care delivery by combining AI algorithms, cutting-edge data analytics, and novel technology. Through case studies and success stories, the article provides a thorough study of the advantages and prospects provided by AI in orthopedic surgery. These instances demonstrate how AI has been successfully applied to several facets of orthopedic surgery, including as diagnosis, planning of the surgical course, surgical navigation, postoperative care, and resource allocation. The ethical and legal ramifications of using AI are also discussed in the study, with a focus on patient autonomy, privacy, accountability, and any potential effects on the healthcare workforce. The potential applications of AI in orthopedic surgery are examined, together with developments in preoperative planning, surgical robotics, remote monitoring, predictive analytics, personalised medicine, research, and innovation. The promise of AI in orthopedic surgery is obvious, despite issues with data quality, privacy, algorithm biases, and legal constraints. The ethical and appropriate application of AI technology in orthopedic surgery has the potential to significantly enhance patient outcomes, lower complications, boost efficiency, and change the way healthcare is provided. This study lays the groundwork for future study and application in the field of orthopedic surgery by offering insightful information on the role of AI in delivering value-based healthcare. \u0000 \u0000 \u0000 \u0000 \u0000 \u0000 \u0000 \u0000 \u0000 \u0000 ","PeriodicalId":243191,"journal":{"name":"International Journal of Multidisciplinary Sciences and Arts","volume":"12 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2023-06-09","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"122156561","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 : 2023-06-04DOI: 10.47709/ijmdsa.v2i1.2301
Luwis H. Laisina
Phase-to-ground leakage in low-voltage network systems can cause transformer damage due to overload. Overloading on transformers is not caused by customer usage but rather by wasted electrical energy to the ground which causes losses. If there is a current leakage, the potential difference between neutral and ground is measured to produce a voltage value. Considering that there is little written about transformer damage caused by current leakage to ground in low voltage network systems, in this research a tool is made that can detect current leakage to ground in low voltage network systems using the ZMPT101B voltage sensor based on IoT. This research is in the form of design and manufacture of a leakage current detector to ground. The method used is the Research and Development method (research and development), namely in the form of observation, literature study. The research stage starts from a literature study in the form of finding references related to research, designing tools, making tools and programs, and testing the tools that are made. Based on the results of Based on the results of the research, this tool can detect leakage current to the ground from the lowest voltage of 24.3 Volts to the highest voltage of 184 Volts so that it can be displayed on the LCD and the blynk application and the system automatically sounds a buzzer as a warning of current leakage to ground. .
低压电网系统的相地漏电会导致变压器过载而损坏。变压器过载不是由用户使用引起的，而是由于浪费到地面的电能造成的损耗。如果有电流泄漏，则测量中性点和地之间的电位差以产生电压值。考虑到低压电网系统因漏电对地损坏变压器的文献很少，本研究利用基于物联网的ZMPT101B电压传感器，制作了一种检测低压电网系统漏电对地的工具。本课题的研究形式是对地漏电流检测器的设计与制造。所采用的方法是研究开发法(Research and Development)，即以观察、文献研究的形式进行。研究阶段从文献研究开始，寻找与研究相关的参考文献，设计工具，制作工具和程序，测试制作出来的工具。根据研究结果，本工具可以检测到从最低电压24.3伏到最高电压184伏的漏电电流，并在LCD上显示，同时眨眼应用，系统自动发出蜂鸣器提示漏电电流。
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Pub Date : 2023-06-04DOI: 10.47709/ijmdsa.v2i1.2302
V. L. Tanasale, E. Kembauw, A. S. Mahulette, M. H. Makaruku, N. Goo
Coconut (Cocos nucifera L.) is a species to be cultivated in Mollucas. Recently, the population of coconut plants has to be decreased as a result of broad leaf weeds that impede the growth of coconut, especially in the nursery phases. The identification of broad leaf weeds is the first step in controlling weeds. However, until now, there has been no research on the influence of broad leaves weed species is important as the base of accurate weed control. This research on broad leaf weed composition in the coconut planting area is important as the base of accuracy is based on Summed Dominance Ratio (SDR) at the production plant in Tial Village, Village Central Mollucas District. This research uses the weed survey method type quadrat method with a sample plot size of 1 m x 1m. The result shows that 13 species of broad leaves weed, 12 families in the areal coconut planting in Tial village
{"title":"IDENTIFICATION OF BROADLEAF WEEDS IN MATURE COCONUT PLANTATIONS IN TIAL VILLAGE, CENTRAL MALUKU REGENCY, MALUKU PROVINCE, INDONESIA","authors":"V. L. Tanasale, E. Kembauw, A. S. Mahulette, M. H. Makaruku, N. Goo","doi":"10.47709/ijmdsa.v2i1.2302","DOIUrl":"https://doi.org/10.47709/ijmdsa.v2i1.2302","url":null,"abstract":"Coconut (Cocos nucifera L.) is a species to be cultivated in Mollucas. Recently, the population of coconut plants has to be decreased as a result of broad leaf weeds that impede the growth of coconut, especially in the nursery phases. The identification of broad leaf weeds is the first step in controlling weeds. However, until now, there has been no research on the influence of broad leaves weed species is important as the base of accurate weed control. This research on broad leaf weed composition in the coconut planting area is important as the base of accuracy is based on Summed Dominance Ratio (SDR) at the production plant in Tial Village, Village Central Mollucas District. This research uses the weed survey method type quadrat method with a sample plot size of 1 m x 1m. The result shows that 13 species of broad leaves weed, 12 families in the areal coconut planting in Tial village","PeriodicalId":243191,"journal":{"name":"International Journal of Multidisciplinary Sciences and Arts","volume":"36 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2023-06-04","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"127578333","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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