Research in translation is often centred on issues that bother on literature, language teaching, style, processes, etc. This study examines the translation of Yoruba-bound ICT terminologies beyond their raw meaning as presented by the English language and culture. It deploys localization, the third in the GILT arrangement of Globalization, Internationalization, Localization, and Translation in modern technology translation. The objectives of this study are to: identify certain ICT terminologies in English, describe adoptable strategies for translating the terminologies for Yoruba end-users, examine how the terminologies are understood in the Yoruba locale as intended by the initial meaning, highlight the difficulties involved in the interpretation of the terminologies into Yoruba, propose cultural and linguistic models for translating ICT terminologies from English into the Yoruba language. The study adopts Bell’s linguistic and psycholinguistic model (1991) to analyze and synthesize the structural organization of linguistic materials of the ICT terminologies and their translation beyond their surface meaning. The study finds out that: the traditional approach of translating Euro-based terminologies by loanwords may yield little result; localizing ICT terminologies will enhance the appreciation of ICT materials by Yoruba end users; difficulties involved in the interpretation of ICT are both linguistic and cultural, and that ICT terminology translators are technical and cultural mediators. The study concludes that the marketing and purchase of ICT products are likely to be more embraced by Yoruba end users with the use of localized expressions to translate them. It recommends that in the world of GILT, translating beyond the initial meaning of the structure of linguistic materials of the ICT terminologies is a snapshot.
翻译研究通常集中在文学、语言教学、风格、流程等问题上。本研究探讨了约鲁巴语信息和通信技术术语的翻译问题，超越了英语语言和文化所呈现的原始含义。在现代技术翻译中，它采用了全球化、国际化、本地化和翻译的 GILT 安排中的第三项--本地化。本研究的目标是：确定英语中的某些信息和通信技术术语，描述为约鲁巴语终端用户翻译这些术语的可采用策略，研究这些术语在约鲁巴语区如何被理解为最初的含义，强调将这些术语解释为约鲁巴语所涉及的困难，提出将信息和通信技术术语从英语翻译为约鲁巴语的文化和语言模式。本研究采用贝尔的语言学和心理语言学模型（1991 年）来分析和归纳信息和通信技术术语的语言材料结构组织及其表面意义之外的翻译。研究发现：用借词翻译基于欧洲的术语的传统方法可能收效甚微；信息和通信技术术语的本地化将提高约鲁巴最终用户对信息和通信技术材料的鉴赏能力；信息和通信技术的解释所涉及的困难既有语言方面的，也有文化方面的，信息和通信技术术语的翻译者是技术和文化的中介。研究得出结论认为，使用本地化表达方式翻译信息和通信技术产品，约鲁巴终端用户可能会更加欢迎这些产品的营销和购买。研究建议，在全球信息、语言和通信技术的世界里，翻译信息和通信技术术语的语言材料结构的最初含义之外的内容是一种快照。
{"title":"Beyond the Translation of Initial Meaning: The Localization of Yoruba-bound ICT Terminologies","authors":"Olusegun Gbadegesin, Jacob Olaniyi Babalola","doi":"10.32388/ao1ggd","DOIUrl":"https://doi.org/10.32388/ao1ggd","url":null,"abstract":"Research in translation is often centred on issues that bother on literature, language teaching, style, processes, etc. This study examines the translation of Yoruba-bound ICT terminologies beyond their raw meaning as presented by the English language and culture. It deploys localization, the third in the GILT arrangement of Globalization, Internationalization, Localization, and Translation in modern technology translation. The objectives of this study are to: identify certain ICT terminologies in English, describe adoptable strategies for translating the terminologies for Yoruba end-users, examine how the terminologies are understood in the Yoruba locale as intended by the initial meaning, highlight the difficulties involved in the interpretation of the terminologies into Yoruba, propose cultural and linguistic models for translating ICT terminologies from English into the Yoruba language. The study adopts Bell’s linguistic and psycholinguistic model (1991) to analyze and synthesize the structural organization of linguistic materials of the ICT terminologies and their translation beyond their surface meaning. The study finds out that: the traditional approach of translating Euro-based terminologies by loanwords may yield little result; localizing ICT terminologies will enhance the appreciation of ICT materials by Yoruba end users; difficulties involved in the interpretation of ICT are both linguistic and cultural, and that ICT terminology translators are technical and cultural mediators. The study concludes that the marketing and purchase of ICT products are likely to be more embraced by Yoruba end users with the use of localized expressions to translate them. It recommends that in the world of GILT, translating beyond the initial meaning of the structure of linguistic materials of the ICT terminologies is a snapshot.\u0000","PeriodicalId":500839,"journal":{"name":"Qeios","volume":"1 5","pages":""},"PeriodicalIF":0.0,"publicationDate":"2024-03-19","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"140229814","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 provides a comprehensive study of modern approaches used to identify fakes and propaganda. Machine learning is emerging as a dynamic tool for pattern recognition and adaptation that facilitates real-time analysis. In addition, the article provides an analysis of propaganda based on emotional colouring, which reveals the differences between propaganda and non-propaganda. The average emotional value for propaganda news is 0.151 and for non-propaganda news is 0.116. The average degree of subjectivity for propaganda news is 0.365 and for non-propaganda news is 0.283. The average value of positive emotion for propaganda news is 0.087 and for non-propaganda news is 0.082. The average negative emotion for propaganda news is 0.064 and for non-propaganda news is 0.034. -The average value of the complex emotional colouring for propaganda news is 0.021, and for non-propaganda news - 0.010. Keywords – propaganda, fakes, NLP, natural language processing, disinformation detection, machine learning, multimodal analysis.
{"title":"Information Technology for Detecting Fakes and Propaganda Based on Machine Learning and Sentiment Analysis","authors":"Vitalii Danylyk, V. Vysotska","doi":"10.32388/izfoxn","DOIUrl":"https://doi.org/10.32388/izfoxn","url":null,"abstract":"This article provides a comprehensive study of modern approaches used to identify fakes and propaganda. Machine learning is emerging as a dynamic tool for pattern recognition and adaptation that facilitates real-time analysis. In addition, the article provides an analysis of propaganda based on emotional colouring, which reveals the differences between propaganda and non-propaganda. The average emotional value for propaganda news is 0.151 and for non-propaganda news is 0.116. The average degree of subjectivity for propaganda news is 0.365 and for non-propaganda news is 0.283. The average value of positive emotion for propaganda news is 0.087 and for non-propaganda news is 0.082. The average negative emotion for propaganda news is 0.064 and for non-propaganda news is 0.034. -The average value of the complex emotional colouring for propaganda news is 0.021, and for non-propaganda news - 0.010. Keywords – propaganda, fakes, NLP, natural language processing, disinformation detection, machine learning, multimodal analysis.\u0000","PeriodicalId":500839,"journal":{"name":"Qeios","volume":"319 9","pages":""},"PeriodicalIF":0.0,"publicationDate":"2024-03-18","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"140233065","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 market, customers have a plethora of options available to them when deciding where to invest their money. Consequently, customer churn and engagement have emerged as prominent concerns. With an increasing number of service providers targeting the same customer base, it is imperative for providers to understand evolving customer behavior and heightened expectations to retain their clientele. Numerous studies have addressed the issue of customer churn, with data mining frequently employed to predict bank customer attrition. While many researchers have proposed various approaches for predicting customer churn, some machine learning (ML) algorithms have struggled to deliver the required performance in identifying customer churn accurately most especially when the dataset is imbalance data. Therefore, this paper presents an application of Synthetic Minority Over Sampling Technique (SMOTE) on bank churn dataset. The SMOTE algorithm was employed to address the problem of data imbalance and Genetic Algorithm (GA) was applied to select most informative features from the original dataset. The selective features were evaluate using four (4) different classification algorithms: Random Forest (RF), K-Nearnest Neighbor (KNN), Artificial Neural Network (ANN) and Adaboost algorithms. The KNN model demonstrated superior performance compared to other models in terms of accuracy (96%), precision (96%), and F-measure (96%) respectively. Furthermore, we compared our results with existing models that utilized the same dataset, and our proposed strategy outperformed them.
{"title":"Bank Customer Churn Prediction Using SMOTE: A Comparative Analysis","authors":"M. A. Hambali, Ishaku Andrew","doi":"10.32388/h82xtw","DOIUrl":"https://doi.org/10.32388/h82xtw","url":null,"abstract":"In today's market, customers have a plethora of options available to them when deciding where to invest their money. Consequently, customer churn and engagement have emerged as prominent concerns. With an increasing number of service providers targeting the same customer base, it is imperative for providers to understand evolving customer behavior and heightened expectations to retain their clientele. Numerous studies have addressed the issue of customer churn, with data mining frequently employed to predict bank customer attrition. While many researchers have proposed various approaches for predicting customer churn, some machine learning (ML) algorithms have struggled to deliver the required performance in identifying customer churn accurately most especially when the dataset is imbalance data. Therefore, this paper presents an application of Synthetic Minority Over Sampling Technique (SMOTE) on bank churn dataset. The SMOTE algorithm was employed to address the problem of data imbalance and Genetic Algorithm (GA) was applied to select most informative features from the original dataset. The selective features were evaluate using four (4) different classification algorithms: Random Forest (RF), K-Nearnest Neighbor (KNN), Artificial Neural Network (ANN) and Adaboost algorithms. The KNN model demonstrated superior performance compared to other models in terms of accuracy (96%), precision (96%), and F-measure (96%) respectively. Furthermore, we compared our results with existing models that utilized the same dataset, and our proposed strategy outperformed them.\u0000","PeriodicalId":500839,"journal":{"name":"Qeios","volume":"35 17","pages":""},"PeriodicalIF":0.0,"publicationDate":"2024-03-18","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"140231721","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 evolving landscape of mobile cancer pain management, a critical aspect of healthcare innovation aimed at enhancing patient outcomes and accessibility to pain relief measures. Through a comprehensive analysis, the study examines the benefits, limitations, and potential strategies for overcoming the challenges associated with implementing mobile health technologies in the management of cancer-related pain. The discussion includes an evaluation of the effectiveness, patient adherence, and technological advancements in mobile health, alongside an assessment of the barriers hindering widespread adoption, such as cultural and technological literacy, resource allocation, and security concerns.
{"title":"Challenges and Opportunities in Mobile Health Technologies for Cancer Pain Management: An Integrative Review","authors":"Dahuang Tao","doi":"10.32388/ai2bxj","DOIUrl":"https://doi.org/10.32388/ai2bxj","url":null,"abstract":"This article explores the evolving landscape of mobile cancer pain management, a critical aspect of healthcare innovation aimed at enhancing patient outcomes and accessibility to pain relief measures. Through a comprehensive analysis, the study examines the benefits, limitations, and potential strategies for overcoming the challenges associated with implementing mobile health technologies in the management of cancer-related pain. The discussion includes an evaluation of the effectiveness, patient adherence, and technological advancements in mobile health, alongside an assessment of the barriers hindering widespread adoption, such as cultural and technological literacy, resource allocation, and security concerns.\u0000","PeriodicalId":500839,"journal":{"name":"Qeios","volume":"10 1","pages":""},"PeriodicalIF":0.0,"publicationDate":"2024-03-18","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"140234591","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}
Self-awareness results from consciousness of existence in time and space. Thought and consciousness are distinguishing factors between humans and machines having artificial intelligence. No algorithm has been offered for artificial self-awareness based on Thinking. Previous studies have not studied the relationship between consciousness, thinking and time. This study studied the relationship between Self-awareness, thinking, memories and speech over time. A deep logical connection exists between consciousness, thinking, and time. Based on this research findings, an algorithm can be designed for artificial consciousness and Self-awareness.
{"title":"Artificial Self- Awareness In Over Time","authors":"Seyed Kazem Mousavi","doi":"10.32388/ylxn96","DOIUrl":"https://doi.org/10.32388/ylxn96","url":null,"abstract":"Self-awareness results from consciousness of existence in time and space. Thought and consciousness are distinguishing factors between humans and machines having artificial intelligence. No algorithm has been offered for artificial self-awareness based on Thinking. Previous studies have not studied the relationship between consciousness, thinking and time. This study studied the relationship between Self-awareness, thinking, memories and speech over time. A deep logical connection exists between consciousness, thinking, and time. Based on this research findings, an algorithm can be designed for artificial consciousness and Self-awareness.\u0000","PeriodicalId":500839,"journal":{"name":"Qeios","volume":"241 9","pages":""},"PeriodicalIF":0.0,"publicationDate":"2024-03-18","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"140233692","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 explores the nutritional knowledge, its acquisition, and assessment among hospitalized cancer patients, revealing significant gaps and the influence of demographic factors. The research identifies the predominance of informal and unreliable sources for nutritional information, such as internet searches and peer advice, highlighting the inadequacy in patient education provided by healthcare professionals. Additionally, the study addresses the lack of validated assessment tools for evaluating patients' nutritional knowledge, emphasizing the need for comprehensive and accessible educational resources and standardized measurement instruments. The findings advocate for an integrated approach involving personalized nutritional guidance and the development of validated tools to improve cancer patients' nutritional knowledge and health outcomes.
{"title":"Assessment and Improvement of Nutritional Knowledge among Hospitalized Cancer Patients: Gaps, Sources, and Educational Strategies","authors":"Qiu Yan","doi":"10.32388/y85fe5","DOIUrl":"https://doi.org/10.32388/y85fe5","url":null,"abstract":"This study explores the nutritional knowledge, its acquisition, and assessment among hospitalized cancer patients, revealing significant gaps and the influence of demographic factors. The research identifies the predominance of informal and unreliable sources for nutritional information, such as internet searches and peer advice, highlighting the inadequacy in patient education provided by healthcare professionals. Additionally, the study addresses the lack of validated assessment tools for evaluating patients' nutritional knowledge, emphasizing the need for comprehensive and accessible educational resources and standardized measurement instruments. The findings advocate for an integrated approach involving personalized nutritional guidance and the development of validated tools to improve cancer patients' nutritional knowledge and health outcomes.\u0000","PeriodicalId":500839,"journal":{"name":"Qeios","volume":"5 3","pages":""},"PeriodicalIF":0.0,"publicationDate":"2024-03-18","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"140234698","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}
Social class is a significant factor that influences an individual’s health, education, and lifestyle, among other things. However, there is no standard income-based scale that can classify individuals into different social classes for comparability across studies. In this article, we outlined the method of using monthly family income to identify the middle class of a country and how to use it to define the lower and upper class by using a widely accepted definition of the middle class and implemented it to determine the threshold for middle class family using the monthly median income of a country. This method can be used by any country to classify the community as “lower class” (<75% of the median income), “middle class” (75-125% of the median income) and “upper class” (>125% of the median income). We also presented an example using data from Bangladesh. The results were then adjusted for inflation to provide a guideline for updating the income limits for any future year. The social class in 2023 based on the monthly household income was <12,500 BDT for lower class, 12,500 to 21,500 BDT for middle class and >21,500 BDT for upper class after inflation. This method of social class classification can be used for grouping study participants into comparable socioeconomic categories in the context of any country and can be updated easily in the future.
{"title":"Who Belongs to the Middle Class? Identifying Them Using Monthly Family Income","authors":"Md Fuad Al Fidah, S. S. Efa, Abdullah Saeed Khan","doi":"10.32388/iyl0xz","DOIUrl":"https://doi.org/10.32388/iyl0xz","url":null,"abstract":"Social class is a significant factor that influences an individual’s health, education, and lifestyle, among other things. However, there is no standard income-based scale that can classify individuals into different social classes for comparability across studies. In this article, we outlined the method of using monthly family income to identify the middle class of a country and how to use it to define the lower and upper class by using a widely accepted definition of the middle class and implemented it to determine the threshold for middle class family using the monthly median income of a country. This method can be used by any country to classify the community as “lower class” (<75% of the median income), “middle class” (75-125% of the median income) and “upper class” (>125% of the median income). We also presented an example using data from Bangladesh. The results were then adjusted for inflation to provide a guideline for updating the income limits for any future year. The social class in 2023 based on the monthly household income was <12,500 BDT for lower class, 12,500 to 21,500 BDT for middle class and >21,500 BDT for upper class after inflation. This method of social class classification can be used for grouping study participants into comparable socioeconomic categories in the context of any country and can be updated easily in the future.\u0000","PeriodicalId":500839,"journal":{"name":"Qeios","volume":"322 7","pages":""},"PeriodicalIF":0.0,"publicationDate":"2024-03-18","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"140233244","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}
Pediatric differentiated thyroid cancer (DTC) presents unique challenges distinct from its adult counterparts, including higher rates of multifocality, regional lymph node involvement, and distant metastases. This article reviews the latest advancements and controversies in the surgical management, postoperative care, and long-term surveillance of pediatric DTC, emphasizing the importance of a tailored approach based on individual risk assessments. The evolving landscape of treatment strategies aims to balance the imperative of effective cancer control with the need to mitigate long-term adverse effects and ensure quality of life. The review also highlights the critical need for ongoing research and multidisciplinary collaboration to refine and optimize management protocols for this vulnerable population.
{"title":"Strategies for Management and Long-term Surveillance of Pediatric Differentiated Thyroid Cancer: Balancing Efficacy and Quality of Life","authors":"Dahuang Tao","doi":"10.32388/6olo8t","DOIUrl":"https://doi.org/10.32388/6olo8t","url":null,"abstract":"Pediatric differentiated thyroid cancer (DTC) presents unique challenges distinct from its adult counterparts, including higher rates of multifocality, regional lymph node involvement, and distant metastases. This article reviews the latest advancements and controversies in the surgical management, postoperative care, and long-term surveillance of pediatric DTC, emphasizing the importance of a tailored approach based on individual risk assessments. The evolving landscape of treatment strategies aims to balance the imperative of effective cancer control with the need to mitigate long-term adverse effects and ensure quality of life. The review also highlights the critical need for ongoing research and multidisciplinary collaboration to refine and optimize management protocols for this vulnerable population.\u0000","PeriodicalId":500839,"journal":{"name":"Qeios","volume":"28 3","pages":""},"PeriodicalIF":0.0,"publicationDate":"2024-03-18","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"140234155","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}
Kyawt Yin Min Thein, Chandra Mani Sharma, Vivek Kumar, Vijayaraghavan M. Chariar
Within the context of Myanmar, extensive research has been undertaken to examine various facets of agricultural sector advancement, encompassing economic, social, environmental, and diverse viewpoints. However, limited attention has been directed towards investigating the domain of conservation agriculture (CA), indicating a gap in the existing knowledge. The exploration of indigenous wisdom and methodologies related to CA is of utmost significance. This research employs a combination of descriptive and inferential analyses, supplemented by regression analysis. The research cohort comprises 130 agricultural households actively engaged in diverse CA methodologies within the central dryland area of Myanmar. The results of this study reveal a dual-sided influence of CA practices on local livelihoods, contingent upon the nature of the specific practice as well as the livelihood dimensions under consideration. Notably, CA practices yield advantageous outcomes in terms of both economic prosperity and environmental preservation. However, it is noteworthy that these practices tend to exert unfavorable effects on the social dimensions of livelihoods.
在缅甸，已经开展了广泛的研究，探讨农业部门发展的各个方面，包括经济、社会、环境和各种观点。然而，对保护性农业（CA）领域的研究关注有限，这表明现有知识存在空白。探索与保护性农业相关的本土智慧和方法具有极其重要的意义。本研究采用了描述性分析和推论性分析相结合的方法，并辅以回归分析。研究对象包括在缅甸中部干旱地区积极采用各种 CA 方法的 130 个农户。研究结果表明，CA 实践对当地生计具有双面影响，这取决于具体实践的性质以及所考虑的生计维度。值得注意的是，CA 实践在经济繁荣和环境保护方面都产生了有利结果。然而，值得注意的是，这些做法往往会对生计的社会层面产生不利影响。
{"title":"Impact of Conservation Agriculture Techniques on Community Livelihoods in the Central Dryzone of Myanmar","authors":"Kyawt Yin Min Thein, Chandra Mani Sharma, Vivek Kumar, Vijayaraghavan M. Chariar","doi":"10.32388/rw2j3x","DOIUrl":"https://doi.org/10.32388/rw2j3x","url":null,"abstract":"Within the context of Myanmar, extensive research has been undertaken to examine various facets of agricultural sector advancement, encompassing economic, social, environmental, and diverse viewpoints. However, limited attention has been directed towards investigating the domain of conservation agriculture (CA), indicating a gap in the existing knowledge. The exploration of indigenous wisdom and methodologies related to CA is of utmost significance. This research employs a combination of descriptive and inferential analyses, supplemented by regression analysis. The research cohort comprises 130 agricultural households actively engaged in diverse CA methodologies within the central dryland area of Myanmar. The results of this study reveal a dual-sided influence of CA practices on local livelihoods, contingent upon the nature of the specific practice as well as the livelihood dimensions under consideration. Notably, CA practices yield advantageous outcomes in terms of both economic prosperity and environmental preservation. However, it is noteworthy that these practices tend to exert unfavorable effects on the social dimensions of livelihoods.\u0000","PeriodicalId":500839,"journal":{"name":"Qeios","volume":"11 11","pages":""},"PeriodicalIF":0.0,"publicationDate":"2024-03-17","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"140235095","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}
Chat-GPT has become very popular in recent years. But there is a problem. Chat-GPT does not ask questions to the users. Therefore, Chat-GPT looks like a machine, not a human. However, users sometimes do not want a single answer. They want real things like food, cars, products, etc. Therefore, our system will ask users questions several times until they get what they really want. In this project, we not only resort to Chat-GPT3.5 to find questions, but also resort to traditional programming skills or databases to solve these problems. OpenAI's Chat-GPT3.5 will play the main role in this project. Furthermore, Java and Spring-Boot will be used in this project. These are mature frameworks for enterprise systems(de Oliveira, C. E., Turnquist, G. L., & Antonov, A., 2018). Finally, the MySQL database is used in this project. It provides comprehensive and reliable SQL database services. The data stored in MySQL instances can generate very large data sets(bin Uzayr, S., 2022). Python3 and some machine learning frameworks such as NumPy, Pandas, TensorFlow and PyTorch are used in this project to analyze user behavior(Liu, Y. H., 2020). In the future, the dataset can be integrated into webtext2 as a basic data element to connect the model training.
Chat-GPT 近年来非常流行。但有一个问题。Chat-GPT 不会向用户提问。因此，Chat-GPT 看起来像机器，而不是人。然而，用户有时并不想要单一的答案。他们想要的是真实的东西，如食品、汽车、产品等。因此，我们的系统会多次向用户提问，直到他们得到真正想要的东西。在这个项目中，我们不仅要借助 Chat-GPT3.5 来寻找问题，还要借助传统的编程技巧或数据库来解决这些问题。OpenAI 的 Chat-GPT3.5 将在本项目中发挥主要作用。此外，本项目还将使用 Java 和 Spring-Boot。这些都是企业系统的成熟框架（de Oliveira, C. E., Turnquist, G. L., & Antonov, A., 2018）。最后，本项目使用 MySQL 数据库。它提供全面可靠的 SQL 数据库服务。存储在 MySQL 实例中的数据可以生成非常大的数据集（bin Uzayr, S., 2022）。本项目使用 Python3 和一些机器学习框架（如 NumPy、Pandas、TensorFlow 和 PyTorch）来分析用户行为（Liu, Y. H., 2020）。未来，该数据集可集成到 webtext2 中，作为连接模型训练的基本数据元素。
{"title":"Autonomous Question and Answer System Based on ChatGPT With Large Language Model","authors":"Jun Wang","doi":"10.32388/3n00oc","DOIUrl":"https://doi.org/10.32388/3n00oc","url":null,"abstract":"Chat-GPT has become very popular in recent years. But there is a problem. Chat-GPT does not ask questions to the users. Therefore, Chat-GPT looks like a machine, not a human. However, users sometimes do not want a single answer. They want real things like food, cars, products, etc. Therefore, our system will ask users questions several times until they get what they really want. In this project, we not only resort to Chat-GPT3.5 to find questions, but also resort to traditional programming skills or databases to solve these problems. OpenAI's Chat-GPT3.5 will play the main role in this project. Furthermore, Java and Spring-Boot will be used in this project. These are mature frameworks for enterprise systems(de Oliveira, C. E., Turnquist, G. L., & Antonov, A., 2018). Finally, the MySQL database is used in this project. It provides comprehensive and reliable SQL database services. The data stored in MySQL instances can generate very large data sets(bin Uzayr, S., 2022). Python3 and some machine learning frameworks such as NumPy, Pandas, TensorFlow and PyTorch are used in this project to analyze user behavior(Liu, Y. H., 2020). In the future, the dataset can be integrated into webtext2 as a basic data element to connect the model training.\u0000","PeriodicalId":500839,"journal":{"name":"Qeios","volume":"12 12","pages":""},"PeriodicalIF":0.0,"publicationDate":"2024-03-17","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"140235082","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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