Qeios Pub Date : 2024-03-19 DOI: 10.32388/ao1ggd

Olusegun Gbadegesin, Jacob Olaniyi Babalola

{"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}

引用次数: 0

Information Technology for Detecting Fakes and Propaganda Based on Machine Learning and Sentiment Analysis 基于机器学习和情感分析的识假和宣传信息技术

Qeios Pub Date : 2024-03-18 DOI: 10.32388/izfoxn

Vitalii Danylyk, V. Vysotska

引用次数: 0

Bank Customer Churn Prediction Using SMOTE: A Comparative Analysis 使用 SMOTE 预测银行客户流失率：对比分析

Qeios Pub Date : 2024-03-18 DOI: 10.32388/h82xtw

M. A. Hambali, Ishaku Andrew

{"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}

引用次数: 0

Challenges and Opportunities in Mobile Health Technologies for Cancer Pain Management: An Integrative Review 移动医疗技术在癌症疼痛管理方面的挑战与机遇：综合评述

Qeios Pub Date : 2024-03-18 DOI: 10.32388/ai2bxj

Dahuang Tao

引用次数: 0

Artificial Self- Awareness In Over Time 人工自我意识与时俱进

Qeios Pub Date : 2024-03-18 DOI: 10.32388/ylxn96

Seyed Kazem Mousavi

引用次数: 0

Assessment and Improvement of Nutritional Knowledge among Hospitalized Cancer Patients: Gaps, Sources, and Educational Strategies 评估和改善住院癌症患者的营养知识：差距、来源和教育策略

Qeios Pub Date : 2024-03-18 DOI: 10.32388/y85fe5

Qiu Yan

引用次数: 0

Who Belongs to the Middle Class? Identifying Them Using Monthly Family Income 谁属于中产阶级？用家庭月收入识别中产阶级

Qeios Pub Date : 2024-03-18 DOI: 10.32388/iyl0xz

Md Fuad Al Fidah, S. S. Efa, Abdullah Saeed Khan

{"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}

引用次数: 0

Strategies for Management and Long-term Surveillance of Pediatric Differentiated Thyroid Cancer: Balancing Efficacy and Quality of Life 小儿分化型甲状腺癌的管理和长期监测策略：兼顾疗效和生活质量

Qeios Pub Date : 2024-03-18 DOI: 10.32388/6olo8t

Dahuang Tao

引用次数: 0

Impact of Conservation Agriculture Techniques on Community Livelihoods in the Central Dryzone of Myanmar 保护性农业技术对缅甸中部干旱地区社区生计的影响

Qeios Pub Date : 2024-03-17 DOI: 10.32388/rw2j3x

Kyawt Yin Min Thein, Chandra Mani Sharma, Vivek Kumar, Vijayaraghavan M. Chariar

{"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}

引用次数: 0

Autonomous Question and Answer System Based on ChatGPT With Large Language Model 基于大语言模型 ChatGPT 的自主问答系统

Qeios Pub Date : 2024-03-17 DOI: 10.32388/3n00oc

Jun Wang

{"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}

引用次数: 0

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