The concept of a metric on the manifold of Monge potentials is introduced for hydrodynamic vortex system. The concept of coherence of continuous vortex structures is formulated in terms of the deviation of geodesic lines on a given manifold. Criteria of decay and collapse of a vortex continual system are established.
{"title":"Dynamics of Coherent Hydrodynamic Systems and Geometry on the Monge Manifolds","authors":"Nikolay Fimin","doi":"10.32388/bpyaz1","DOIUrl":"https://doi.org/10.32388/bpyaz1","url":null,"abstract":"The concept of a metric on the manifold of Monge potentials is introduced for hydrodynamic vortex system. The concept of coherence of continuous vortex structures is formulated in terms of the deviation of geodesic lines on a given manifold. Criteria of decay and collapse of a vortex continual system are established.\u0000","PeriodicalId":503632,"journal":{"name":"Qeios","volume":"55 6","pages":""},"PeriodicalIF":0.0,"publicationDate":"2024-05-22","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"141111353","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}
Physician-written discharge medical notes include vital details regarding their patients' health. Numerous deep learning algorithms have shown effective in gleaning crucial insights from unstructured medical notes data, leading to potentially useful outcomes in the medical field. The goal of this research is to determine how different deep learning algorithms perform as models for text classification issues in long short term memory (LSTM). Titanic Disaster Dataset has been used for pre-processing is essential since there is a lot of unnecessary information in textual data. Next, clean up the data by eliminating duplicate rows and filling in the blanks. Besides traditional machine learning algorithms such as naive bayes (NB), gradient boosting (GB), and support vector machine (SVM), we use deep learning algorithms to classify data, including bidirectional – LSTM using Conditional Random Fields (CRFs). BiLSTM is the most precise model compared to other models and baseline research, with a classification accuracy of 98.5%.
{"title":"Comparative Analysis of Machine and Deep Learning Techniques for Text Classification with Emphasis on Data Preprocessing","authors":"Dr.Saikat Gochhait","doi":"10.32388/xhc9j1","DOIUrl":"https://doi.org/10.32388/xhc9j1","url":null,"abstract":"Physician-written discharge medical notes include vital details regarding their patients' health. Numerous deep learning algorithms have shown effective in gleaning crucial insights from unstructured medical notes data, leading to potentially useful outcomes in the medical field. The goal of this research is to determine how different deep learning algorithms perform as models for text classification issues in long short term memory (LSTM).\u0000\u0000Titanic Disaster Dataset has been used for pre-processing is essential since there is a lot of unnecessary information in textual data. Next, clean up the data by eliminating duplicate rows and filling in the blanks. Besides traditional machine learning algorithms such as naive bayes (NB), gradient boosting (GB), and support vector machine (SVM), we use deep learning algorithms to classify data, including bidirectional – LSTM using Conditional Random Fields (CRFs). BiLSTM is the most precise model compared to other models and baseline research, with a classification accuracy of 98.5%.\u0000","PeriodicalId":503632,"journal":{"name":"Qeios","volume":"64 11","pages":""},"PeriodicalIF":0.0,"publicationDate":"2024-05-22","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"141111614","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}
BACKGROUND. Increasing the engagement of fathers or couples in childcare may generate additional benefits on early child outcomes. However, parenting intervention that includes fathers and couples is limited in low-resource settings. Thus, this study designed a parenting intervention on child nutrition and responsive care that is inclusive of fathers and couples, using behavior change communication. First, we aimed to evaluate the effectiveness of the parenting intervention on a child’s diet, early stimulation, and father involvement in childcare among parents of a child aged 6-23 months in rural Malawi. Then, we assessed the added benefit of including fathers and couples in the intervention to improve the outcomes. METHODS. In this four-arm, cluster-randomized controlled trial, we assessed the effectiveness of a parenting intervention in rural Malawi. We randomly selected and allocated 40 communities to the intervention or control arms in a 3-to-1 ratio. Four arms included a mothers-only treatment arm, a fathers-only treatment arm, a couples treatment arm, and a control arm. Eligible households were a two-parent household having a child aged 6-23 months, a child having a mother as a primary caregiver living with a male partner, and a parent aged 18 or above. Intervention arms participated in two peer group sessions and two home visits focusing on child nutrition and responsive care. Behavior change communication was used to deliver key behavioral messages. Primary outcomes were child dietary diversity score, early stimulation, and father involvement in childcare. The analysis was done using difference-in-differences estimation. DISCUSSION. The study will provide evidence of the effectiveness of the parenting program that can be replicated and scaled-across in other low-resource settings like rural Malawi.
{"title":"Effectiveness of a Father-Inclusive Parenting Intervention on a Child’s Diet, Early Stimulation, and Father Involvement in Childcare in Rural Malawi: A Study Protocol for a Four-Arm, Cluster-Randomized Controlled Trial","authors":"Suhyoon Choi, Akira Shibanuma, Junko Kiriya, Neo Kazembe, Masamine Jimba","doi":"10.32388/3xfllw","DOIUrl":"https://doi.org/10.32388/3xfllw","url":null,"abstract":"BACKGROUND. Increasing the engagement of fathers or couples in childcare may generate additional benefits on early child outcomes. However, parenting intervention that includes fathers and couples is limited in low-resource settings. Thus, this study designed a parenting intervention on child nutrition and responsive care that is inclusive of fathers and couples, using behavior change communication. First, we aimed to evaluate the effectiveness of the parenting intervention on a child’s diet, early stimulation, and father involvement in childcare among parents of a child aged 6-23 months in rural Malawi. Then, we assessed the added benefit of including fathers and couples in the intervention to improve the outcomes.\u0000\u0000METHODS. In this four-arm, cluster-randomized controlled trial, we assessed the effectiveness of a parenting intervention in rural Malawi. We randomly selected and allocated 40 communities to the intervention or control arms in a 3-to-1 ratio. Four arms included a mothers-only treatment arm, a fathers-only treatment arm, a couples treatment arm, and a control arm. Eligible households were a two-parent household having a child aged 6-23 months, a child having a mother as a primary caregiver living with a male partner, and a parent aged 18 or above. Intervention arms participated in two peer group sessions and two home visits focusing on child nutrition and responsive care. Behavior change communication was used to deliver key behavioral messages. Primary outcomes were child dietary diversity score, early stimulation, and father involvement in childcare. The analysis was done using difference-in-differences estimation.\u0000\u0000DISCUSSION. The study will provide evidence of the effectiveness of the parenting program that can be replicated and scaled-across in other low-resource settings like rural Malawi.\u0000","PeriodicalId":503632,"journal":{"name":"Qeios","volume":"47 8","pages":""},"PeriodicalIF":0.0,"publicationDate":"2024-05-22","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"141108826","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}
A Theoretical proposition of particle entanglement with the polarized dual Consciousness of a single observer (and subsequent local and remote environments) during Quantum Decoherence, explains the Two-State System experiments, and is SUPPORTED BY MATHEMATICAL CONJECTURE, using a Classic Space analogue to Quantum Decoherence: Recursive information exchange (RIE), within the framework of reinforcement loops, between agents. From this dynamic system of information exchange, the resulting decreased Shannon entropy, increased potential energy, polarization and preferential growth (over scales) are compared with Von Neuman entropy during Quantum Entanglement and collapse. The observational components of RIE (biased observation, interpretation, response and self-validation) are analyzed and shown to be SUBJECTIVELY VALIDATED. This corollary of "self-validated observation" explains the logical inconsistencies in the Two States Experiments. A SIMPLE MODIFIED STERN GERLACH EXPERIMENTAL IS PROPOSED AS A PROOF.
{"title":"Particle Entanglement With the Observer’s Polarized Dual Consciousness — A Modified Stern Gerlach Experiment, as Proof","authors":"A. Pletcher","doi":"10.32388/0eqotj.7","DOIUrl":"https://doi.org/10.32388/0eqotj.7","url":null,"abstract":"A Theoretical proposition of particle entanglement with the polarized dual Consciousness of a single observer (and subsequent local and remote environments) during Quantum Decoherence, explains the Two-State System experiments, and is SUPPORTED BY MATHEMATICAL CONJECTURE, using a Classic Space analogue to Quantum Decoherence: Recursive information exchange (RIE), within the framework of reinforcement loops, between agents. From this dynamic system of information exchange, the resulting decreased Shannon entropy, increased potential energy, polarization and preferential growth (over scales) are compared with Von Neuman entropy during Quantum Entanglement and collapse. The observational components of RIE (biased observation, interpretation, response and self-validation) are analyzed and shown to be SUBJECTIVELY VALIDATED. This corollary of \"self-validated observation\" explains the logical inconsistencies in the Two States Experiments. A SIMPLE MODIFIED STERN GERLACH EXPERIMENTAL IS PROPOSED AS A PROOF.\u0000","PeriodicalId":503632,"journal":{"name":"Qeios","volume":"13 2","pages":""},"PeriodicalIF":0.0,"publicationDate":"2024-05-22","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"141110932","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}
Pedro Basei, Matheus Nespolo Berger, João Victor Bruneti Severino, Karen Dyminski Parente Ribeiro, Fillipe Silveira Loures, Solano Amadori Todeschini, Eduardo Augusto Roeder, Gustavo Lenci Marques
The quality of medical records is paramount for effective patient care, yet it is often compromised by the need for doctors to type information during consultations. This practice not only consumes valuable time that could be better spent on patient interaction but also increases the risk of medical errors due to repetitive copy-pasting. This paper examines the implementation and impact of Voa, an AI-driven tool designed to transform audio from medical consultations into optimized clinical documents. Utilizing automatic transcription technologies like Whisper and generative artificial intelligence, Voa generates accurate and comprehensive medical records from consultation audio. The study, conducted from February to May 2024, assessed Voa's effectiveness through metrics such as the number of anamneses generated, user adoption rates, and activation rates. Results indicate a significant increase in both document generation and user adoption, reflecting growing acceptance and confidence in the platform. The findings highlight Voa's potential to improve documentation quality, reduce medical errors, and enhance doctor-patient interactions, ultimately promoting more human-centered healthcare practices. This experience report underscores the transformative impact of Voa in medical documentation, advocating for broader adoption of such technologies in clinical settings.
{"title":"Improving Documentation Quality and Patient Interaction with AI: A Tool for Transforming Medical Records — An Experience Report","authors":"Pedro Basei, Matheus Nespolo Berger, João Victor Bruneti Severino, Karen Dyminski Parente Ribeiro, Fillipe Silveira Loures, Solano Amadori Todeschini, Eduardo Augusto Roeder, Gustavo Lenci Marques","doi":"10.32388/ffzge5","DOIUrl":"https://doi.org/10.32388/ffzge5","url":null,"abstract":"The quality of medical records is paramount for effective patient care, yet it is often compromised by the need for doctors to type information during consultations. This practice not only consumes valuable time that could be better spent on patient interaction but also increases the risk of medical errors due to repetitive copy-pasting. This paper examines the implementation and impact of Voa, an AI-driven tool designed to transform audio from medical consultations into optimized clinical documents. Utilizing automatic transcription technologies like Whisper and generative artificial intelligence, Voa generates accurate and comprehensive medical records from consultation audio. The study, conducted from February to May 2024, assessed Voa's effectiveness through metrics such as the number of anamneses generated, user adoption rates, and activation rates. Results indicate a significant increase in both document generation and user adoption, reflecting growing acceptance and confidence in the platform. The findings highlight Voa's potential to improve documentation quality, reduce medical errors, and enhance doctor-patient interactions, ultimately promoting more human-centered healthcare practices. This experience report underscores the transformative impact of Voa in medical documentation, advocating for broader adoption of such technologies in clinical settings.\u0000","PeriodicalId":503632,"journal":{"name":"Qeios","volume":"28 4","pages":""},"PeriodicalIF":0.0,"publicationDate":"2024-05-21","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"141118300","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}
Universities are big metropolitan institutions with sizable populations of students, employees, and visitors. However, university settings can contribute to air pollution, with diverse activities such as lab work, cooking in dorms, and vehicle traffic, among others, causing interior and ambient air pollution. It is impossible to overestimate how much air pollution affects the health and happiness of students. Based on this, evaluation of ambient air quality (i.e., temperature, relative humidity (RH), CO2, and particulate matter (PM2.5)) at various locations within Lead City University, Ibadan, is essential. Ambient concentrations of carbon monoxide (CO), carbon dioxide (CO2), relative humidity (RH), temperature (TEMP), and particulate matter (PM) were recorded from 15 locations across Lead City University over a two-week period. Morning temperatures in all the locations measured ranged from 23.7°C to 29.2°C, while afternoon temperatures fluctuated more significantly, with the lowest recorded at 27.2°C and the highest at a notably warmer 35.8°C in all the locations measured. The morning RH levels ranged from 63.8% to 74.7%, while afternoon RH values ranged from 58.2% to 63.4%. The findings also show that afternoon CO2 levels range from 468.5 ppm to 971.6 ppm, with Location 13 having an unusually high average. Morning CO levels ranged from 4.1 µg/m³ to 49 µg/m³, with location 13 showing an outlier at 184.2 µg/m³. CO2 and CO levels are mostly within acceptable ranges. Conclusively, variability in these parameters has implications for human health; therefore, adequate ventilation and pollution control measures are thereby recommended for the university management in order to improve indoor air quality.
{"title":"Evaluation of Ambient Air Quality Levels at Various Locations within Lead City University, Ibadan","authors":"John, Adedayo Olanrewaju, Atiwaye Tomike Gbemisola, Adekunle Oluwatoyin Motunrayo","doi":"10.32388/hjbqxd","DOIUrl":"https://doi.org/10.32388/hjbqxd","url":null,"abstract":"Universities are big metropolitan institutions with sizable populations of students, employees, and visitors. However, university settings can contribute to air pollution, with diverse activities such as lab work, cooking in dorms, and vehicle traffic, among others, causing interior and ambient air pollution. It is impossible to overestimate how much air pollution affects the health and happiness of students. Based on this, evaluation of ambient air quality (i.e., temperature, relative humidity (RH), CO2, and particulate matter (PM2.5)) at various locations within Lead City University, Ibadan, is essential.\u0000\u0000Ambient concentrations of carbon monoxide (CO), carbon dioxide (CO2), relative humidity (RH), temperature (TEMP), and particulate matter (PM) were recorded from 15 locations across Lead City University over a two-week period. Morning temperatures in all the locations measured ranged from 23.7°C to 29.2°C, while afternoon temperatures fluctuated more significantly, with the lowest recorded at 27.2°C and the highest at a notably warmer 35.8°C in all the locations measured. The morning RH levels ranged from 63.8% to 74.7%, while afternoon RH values ranged from 58.2% to 63.4%. The findings also show that afternoon CO2 levels range from 468.5 ppm to 971.6 ppm, with Location 13 having an unusually high average. Morning CO levels ranged from 4.1 µg/m³ to 49 µg/m³, with location 13 showing an outlier at 184.2 µg/m³. CO2 and CO levels are mostly within acceptable ranges. \u0000\u0000Conclusively, variability in these parameters has implications for human health; therefore, adequate ventilation and pollution control measures are thereby recommended for the university management in order to improve indoor air quality.\u0000","PeriodicalId":503632,"journal":{"name":"Qeios","volume":"36 11","pages":""},"PeriodicalIF":0.0,"publicationDate":"2024-05-21","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"141117749","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}
INTRODUCTION: The human microbiome is essential for both promoting health and preventing the onset of disease. The complex association between the microbiome and cancer has been clarified by recent research, which has important ramifications for cancer diagnosis, prevention, and treatment. With an emphasis on possible causes and a discussion of treatment options, this review seeks to investigate the dynamic interplay between the microbiome and the development of cancer. OBJECTIVE: This review aims to explore in detail the complex connection between the human microbiome and the development of cancer. METHODOLOGY: We looked through English-language publications from 2015 onward on Web of Science, PubMed, Medline, Embase and Google Scholar for research on the relationship between the human microbiome and the development of cancer. CONCLUSION: There exist numerous ways by which the human microbiome is crucial to the pathogenesis of cancer.
引言：人类微生物组对促进健康和预防疾病至关重要。微生物组与癌症之间的复杂关系已被最新研究澄清，这对癌症诊断、预防和治疗具有重要影响。本综述将重点放在可能的原因和治疗方案的讨论上，旨在研究微生物组与癌症发展之间的动态相互作用。目的：本综述旨在详细探讨人类微生物组与癌症发展之间的复杂联系。方法：我们在 Web of Science、PubMed、Medline、Embase 和 Google Scholar 上查阅了 2015 年以来有关人类微生物组与癌症发展之间关系的英文出版物。
{"title":"Exploring the Dynamic Interplay Between the Human Micro-Biome and Cancer Development, Progress and Therapy","authors":"Anemut Tilahun Mulu, Melaku Mekonen Agidew","doi":"10.32388/j0u1j3","DOIUrl":"https://doi.org/10.32388/j0u1j3","url":null,"abstract":"INTRODUCTION: The human microbiome is essential for both promoting health and preventing the onset of disease. The complex association between the microbiome and cancer has been clarified by recent research, which has important ramifications for cancer diagnosis, prevention, and treatment. With an emphasis on possible causes and a discussion of treatment options, this review seeks to investigate the dynamic interplay between the microbiome and the development of cancer.\u0000\u0000OBJECTIVE: This review aims to explore in detail the complex connection between the human microbiome and the development of cancer.\u0000\u0000METHODOLOGY: We looked through English-language publications from 2015 onward on Web of Science, PubMed, Medline, Embase and Google Scholar for research on the relationship between the human microbiome and the development of cancer.\u0000\u0000CONCLUSION: There exist numerous ways by which the human microbiome is crucial to the pathogenesis of cancer.\u0000","PeriodicalId":503632,"journal":{"name":"Qeios","volume":"126 45","pages":""},"PeriodicalIF":0.0,"publicationDate":"2024-05-21","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"141115431","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 article explores the use of neural networks for classifying musical compositions by genre based on their audio characteristics. With the increasing availability of large musical datasets and advancements in computational technologies, this topic has gained significant relevance. The article emphasizes the importance of selecting and processing audio features, particularly focusing on Mel-Frequency Cepstral Coefficients (MFCC), which reflect the key sound characteristics essential for genre identification. The approach to creating a neural network capable of effectively processing these characteristics and classifying songs is examined within the research. It outlines the main challenges associated with classification accuracy, error calculation, and the need to adapt to rapidly changing musical trends. This article also reviews and constructs a test neural network for classifying songs into three genres, creates diagrams to depict classification accuracy, and shows the distribution of each class by frequency characteristics. Additionally, it analyzes recent research in this field and highlights the importance of using MFCC. The article illuminates not only the technical aspects of creating and training neural networks for song classification but also the significance of such systems in the context of the widespread availability of musical content. It underscores the role of these systems in enhancing the quality of recommendation services, providing a more comprehensive musical experience to users, and supporting artists and musical styles. In conclusion, the article contributes valuable insights into the potential of neural networks in song genre classification, pointing to future research and development directions in this area.
{"title":"Songs Classification Problem Research by Genre Based on Neural Network","authors":"Roman Lynnyk, Victoria Vysotska","doi":"10.32388/59lgk6","DOIUrl":"https://doi.org/10.32388/59lgk6","url":null,"abstract":"This article explores the use of neural networks for classifying musical compositions by genre based on their audio characteristics. With the increasing availability of large musical datasets and advancements in computational technologies, this topic has gained significant relevance. The article emphasizes the importance of selecting and processing audio features, particularly focusing on Mel-Frequency Cepstral Coefficients (MFCC), which reflect the key sound characteristics essential for genre identification. The approach to creating a neural network capable of effectively processing these characteristics and classifying songs is examined within the research. It outlines the main challenges associated with classification accuracy, error calculation, and the need to adapt to rapidly changing musical trends. This article also reviews and constructs a test neural network for classifying songs into three genres, creates diagrams to depict classification accuracy, and shows the distribution of each class by frequency characteristics. Additionally, it analyzes recent research in this field and highlights the importance of using MFCC. The article illuminates not only the technical aspects of creating and training neural networks for song classification but also the significance of such systems in the context of the widespread availability of musical content. It underscores the role of these systems in enhancing the quality of recommendation services, providing a more comprehensive musical experience to users, and supporting artists and musical styles. In conclusion, the article contributes valuable insights into the potential of neural networks in song genre classification, pointing to future research and development directions in this area.\u0000","PeriodicalId":503632,"journal":{"name":"Qeios","volume":"8 2","pages":""},"PeriodicalIF":0.0,"publicationDate":"2024-05-21","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"141118729","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 examines the transformative impact of ChatGPT and related AI technologies on tourist experiences and service personalization in the travel industry, signifying a substantial shift in consumer engagement strategies. Through thorough analysis, the findings illustrate how ChatGPT contributes to enhanced decision-making, heightened personalization, and the strengthening of trust and loyalty among tourists. Highlighting the interplay between technological innovation and the critical human aspect in hospitality, the research suggests AI's capability to supplement rather than supplant human interactions. It discusses the theoretical implications for consumer behavior and service personalization frameworks and outlines practical considerations for tourism stakeholders, focusing on ethical AI usage, data privacy, and fostering human-AI collaboration. Acknowledging the research's limitations, the paper proposes future research directions, emphasizing the need for cross-cultural studies, ethical considerations in AI usage, and investigating the long-term impact of AI on the tourism industry. This study contributes to academic discourse and provides practical insights for industry practitioners, laying the groundwork for future AI integration in tourism.
{"title":"Reimagining Tourist Engagement: Integrating ChatGPT into the Tourism Industry's Service Ecosystem","authors":"Shengyu Gu","doi":"10.32388/8arnz8","DOIUrl":"https://doi.org/10.32388/8arnz8","url":null,"abstract":"This study examines the transformative impact of ChatGPT and related AI technologies on tourist experiences and service personalization in the travel industry, signifying a substantial shift in consumer engagement strategies. Through thorough analysis, the findings illustrate how ChatGPT contributes to enhanced decision-making, heightened personalization, and the strengthening of trust and loyalty among tourists. Highlighting the interplay between technological innovation and the critical human aspect in hospitality, the research suggests AI's capability to supplement rather than supplant human interactions. It discusses the theoretical implications for consumer behavior and service personalization frameworks and outlines practical considerations for tourism stakeholders, focusing on ethical AI usage, data privacy, and fostering human-AI collaboration. Acknowledging the research's limitations, the paper proposes future research directions, emphasizing the need for cross-cultural studies, ethical considerations in AI usage, and investigating the long-term impact of AI on the tourism industry. This study contributes to academic discourse and provides practical insights for industry practitioners, laying the groundwork for future AI integration in tourism.\u0000","PeriodicalId":503632,"journal":{"name":"Qeios","volume":"105 3","pages":""},"PeriodicalIF":0.0,"publicationDate":"2024-05-21","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"141115826","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}
Dextrocardia with situs inversus (situs inversus totalis) is a rare congenital condition characterized by the abnormal positioning of the heart and other organs in the thoracic and abdominal cavities. When combined with a ventricular septal defect (VSD), it presents unique challenges in diagnosis and management. Here, we present a case report of a patient with dextrocardia, situs inversus, and a peri-membranous VSD, highlighting the diagnostic process and discussing available treatment options.
{"title":"A case report of Situs inversus totalis with Ventricular septal defect: Flipped Physiology","authors":"Anshuman Darbari, S. Rawat, Barun Kumar","doi":"10.32388/j1zzl5.2","DOIUrl":"https://doi.org/10.32388/j1zzl5.2","url":null,"abstract":"Dextrocardia with situs inversus (situs inversus totalis) is a rare congenital condition characterized by the abnormal positioning of the heart and other organs in the thoracic and abdominal cavities. When combined with a ventricular septal defect (VSD), it presents unique challenges in diagnosis and management. Here, we present a case report of a patient with dextrocardia, situs inversus, and a peri-membranous VSD, highlighting the diagnostic process and discussing available treatment options.\u0000","PeriodicalId":503632,"journal":{"name":"Qeios","volume":"53 7","pages":""},"PeriodicalIF":0.0,"publicationDate":"2024-05-21","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"141113047","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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