OALib Journal
  OALib Journal is an all-in-one open access journal (ISSN Print: 2333-9705, ISSN Online: 2333-9721). It accepts a manuscript for the peer-review processing, typesetting, publication and then allocated to one of the 322 subject areas. The article processing charge for publishing in OALib journal is Only $99. For more details, please contact service@oalib.com. Submit now
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Jul 27, 2023Open    Access

Involvement of Women in the Production of Doctoral Dissertations in Education in Andalusian Universities

Alexander Maz-Machado, María Josefa Rodríguez-Baiget, Ana María Antiduelo-García, Gema Linde
Research in educational aspects is crucial in contemporary society due to the continuous scientific and social changes. Doctoral dissertations are a source of information on various patterns of educational research, as well as trends and preferred lines of scientific research. A bibliometric study of doctoral dissertations on education carried out in the Autonomous Community of Andalusia in the period 2010 to 2021 is presented. A total of 951 dissertations were analyzed using bibliometric techni...
Open Access Library J.   Vol.10, 2023

Mar 09, 2023Open    Access

Factors Affecting Users’ Continuance Intention toward Mobile Health: Integration of Theory of Consumption Value and Expectation Confirmation

Jing Wang, Yang Cao
Introduction: Due to the rapid development of information and communication technology in the past decades, mobile health had a significant impact on the development of healthcare systems as an innovative medical service model. Despite the popularity of mobile health worldwide, its continuance use has not been very high. Therefore, the factors that influence consumers’ continuance intention of mobile health deserve further study. Methods: From July to August 2022, data were collected via a cross...
Open Access Library J.   Vol.10, 2023

Feb 27, 2023Open    Access

An Evolutionary Game Theoretical Approach to the Teaching-Learning Techniques in the Post-Pandemic Era

Humberto Muniz, Elvio Accinelli, Erika Hernández
In this paper, using evolutionary game theory tools, we analyze the evolution of the behaviors of professors, students and schools towards the use of the information and communication technologies (ICTs) in the teaching-learning process in the post-pandemic era, for this purpose we will use the replicator dynamics and we will show that solutions to this dynamical system could indicate the evolution that the teaching-learning processes will follow over time in the post-pandemic world.
Open Access Library J.   Vol.10, 2023

Dec 22, 2022Open    Access

COVID-19 Vaccine Hesitancy in Lebanon

Mariam Mando, Aseel Al Khansa, Yousef Zaitoun, Mariam Chokor, Bilal Elchehimi, Riham Dweik, Batoul Jaafar, Rayan Al Haj, Rim Nahme, Ismaeil Bazzi, Hayssam Chebli
COVID-19 vaccine has become the topic of concern for the world population, and hesitation to vaccinate is among the top 10 global health by the World Health Organization (WHO). Questions about vaccine hesitancy are investigated in a sample (n = 2642) of Lebanese people through an online survey distributed in January 2022. The survey was made up of closed-ended questions that aim to study the relations between sociodemographic factors, general knowledge and attitudes about the COVID-19 vaccine, a...
Open Access Library J.   Vol.9, 2022

Aug 23, 2021Open    Access

The Forecast Research of Linear Regression Forecast Model in National Economy

Yu Xiao, Zhezhi Jin
Based on application of Linear Regression Model in national economy. Statistical Yearbook of China is a statistical data book published by China. Some different types of data in China have been documented every year. The dissertation is researching some part of national economy in Statistical Yearbook of China to research the relationship between GNP (gross national product) and various data, and afterwards to establish model to achieve some rationalization suggestions for the futu...
Open Access Library J.   Vol.8, 2021

Jul 01, 2021Open    Access

Summary of Research Methods on Pre-Training Models of Natural Language Processing

Yu Xiao, Zhezhi Jin
In recent years, deep learning technology has been widely used and developed. In natural language processing tasks, pre-training models have been more widely used. Whether it is sentence extraction or sentiment analysis of text, the pre-training model plays a very important role. The use of a large-scale corpus for unsupervised pre-training of models has proven to be an excellent and effective way to provide models. This article summarizes the existing pre-training models and sorts out the impro...
Open Access Library J.   Vol.8, 2021

Jun 02, 2021Open    Access

A Literature Review of Academic Performance, an Insight into Factors and their Influences on Academic Outcomes of Students at Senior High Schools

Evans Austin Brew, Benjamin Nketiah, Richard Koranteng
The good academic performance of students at the Senior High School is of paramount importance in every educational system. Meanwhile, numerous factors influence the academic performance of students and have been researched, but many problems persist. A literature review in this area would provide the gaps and areas that need more research and will go a long way to curb the situation. The current paper used a narrative review method to review the literature on the academic performance of student...
Open Access Library J.   Vol.8, 2021

Aug 25, 2020Open    Access

Bayesian Estimation of the Shape Parameters of Mcdonald Generalized Beta-Binomial Distribution

Immaculate Kathomi Murithi, Justin Obwoge Okenye, Ali Salim Islam, Ronald Waliaula Wanyonyi
The paper explores and establishes a unique Bayesian framework for estimating three shape parameters of the McDonald generalized beta-binomial distribution. The mixture distribution is used in modelling overdispersed binomial data. Foundations of the framework have been enriched by knowledge of Bayesian statistics and Markov Chain Monte Carlo methods. A Metropolis within Gibbs Monte Carlo method to sample from the unknown posterior form of the distribution was used. The shape parameters (α, β an...
Open Access Library J.   Vol.7, 2020

Nov 27, 2019Open    Access

Research on Political Trend of North Korea Based on Big Data Text Mining Method

Hongyi Li, Zhezhi Jin
With the method of text mining, this paper takes the related data of Rodong Sinmun in the recent ten years as the research object, extracts the hot topics and carries on the trend analysis. With the special attribute of his speech media, this paper analyzes the political issue. By extracting nearly one million news text data, their topic content is analyzed, combining with LDA topic model, and using K-means clustering algorithm. A
Open Access Library J.   Vol.6, 2019

Sep 16, 2019Open    Access

Related Research on “The Belt and Road” Initiative Based on Big Data Text Mining: Taking the Domestic Area and the Korean Peninsula as an Example

Hongyi Li, Zhezhi Jin
As one of the core contents of China, “The Belt and Road” is very necessary to analyze the impact and significance of “The Belt and Road” on the domestic areas and Korean Peninsula areas in the context of big data. The text mining method was used to extract the core content and hot topics from the news reports of “The Belt and Road” in China and the Korean Peninsula in recent domestic and internatio
Open Access Library J.   Vol.6, 2019


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