Mobile Network Subscribers Market Share Evolution Of Telecommunication Companies In Senegal From 1996 To 2022

This research examines the evolution of market shares of telecommunications companies in Senegal over a period of 26 years, from 1996 to 2022. The study focuses on subscriber’s market share as a key indicator of mobile network operators' performance and competitiveness. It analyzes the mix market share for the three main mobile network operators (ORANGE, FREE, and EXPRESSO) consolidation periods, key success factors, and challenges faced by these companies in a dynamic and competitive environment.The analysis reveals a significant evolution in the telecommunications landscape in Senegal, marked by the emergence of new players, the advancement of technologies, the diversification of offerings, and the increase in connectivity. Major historical operators had to contend with growing competition, stimulating innovation and service improvement to meet changing consumer needs.Key events such as the introduction of 3G and 4G technology, had a significant impact on market share distribution and companies' differentiation strategies. Regulatory policies such as mobile telephony licensing, investments in infrastructure, brand changes, order entry, strategic partnerships, and operators’ number of years of experience also influenced the sector's competitive dynamics.In conclusion, this research highlights the complex and dynamic evolution of market shares of telecommunications companies in Senegal, highlighting the technological, strategic, and regulatory factors that have shaped this sector over the years

Public private partnership in sustainable tourism development in Trang An landscape complex : Ninh Binh in the context of climate change

The aim was to understand how rapid changes to Trang An through urbanization, tourism, and climate change, are affecting people’s well-being in Truong Yen Commune (Viet Nam). The paper examines the drivers of these changes, and assesses the adaptive capacity of residents, local governments, and the private sector. In an innovative arrangement, the Trang An tourism complex operates through a public-private partnership (PPP) between the Ninh Binh Provincial People’s Committee and the Xuan Truong Corporation, a private company. Local government plays a key role. Proactive comprehensive planning involving government, the private sector, and civil society can reduce environmental and social risks of tourism.The Social Sciences and Humanities Research Council (SSHRC)Thailand Environment Institute (TEI

Behavioral characteristics of chinese adolescents with dyslexia: The use of teachers' behavior checklist in Hong Kong

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Population-Based Pediatric Hospitalization Burden of Lineage-Specific Influenza B in Hong Kong, 2004–2014

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Population-Based Hospitalization Burden of Influenza A Virus Subtypes and Antigenic Drift Variants in Children in Hong Kong (2004-2011)

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Analisis Kelayakan Kredit Menggunakan Classification Tree dengan Teknik Random Oversampling

Credit is providing money or bills based on the agreement between a bank and another party. Lending is inseparable from bad credit risk, so credit analysis must be conducted on prospective debtors before approving a proposed loan. This research aims to analyze creditworthiness using a Classification Tree as a classification method with Random Oversampling to overcome imbalanced data. This study uses secondary data on the status of debtors from a bank in West Kalimantan. Research data amounted to 800 data samples consisting of collectability variables as target variables and 10 independent variables, namely limit, rate, tenor, total installments, age, salary, premium and admin, agency, type credit, and type need. The Classification Tree method with Random Oversampling is used to overcome imbalanced data. Classification begins with data preprocessing, then the data is divided into training and test data with proportions of 70:30, 80:20 and 90:10 for each treatment without Random Oversampling and with Random Oversampling. Next, a classification model is formed using training data, and the classification model is validated using test data. After that, an overall evaluation of the model is carried out to determine the best model used in the classification process. Based on the research results, the best model is the model Classification Tree with Random Oversampling in proportion 70:30, with an accuracy value of 89.17%, specificity of 75.00%, and recall of 89.66%. The model can be used to classify current and non-current debtor data. The most influential variable in classifying debtor status is the total installment variable

Longitudinal predictors of Chinese word reading and spelling among elementary grade students.

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Reading and spelling Chinese among beginning readers: What skills make a difference?

The contributions of six important reading-related skills (phonological awareness, rapid naming, orthographic skills, morphological awareness, listening comprehension, and syntactic skills) to Chinese word and text reading were examined among 290 Chinese first graders in Hong Kong. Rapid naming, but not phonological awareness, was a significant predictor of Chinese word reading and writing to dictation (i.e., spelling) in the context of orthographic skills and morphological awareness. Commonality analyses suggested that orthographic skills and morphological awareness each contributed significant amount of unique variance to Chinese word reading and spelling. Syntactic skills accounted for significant amount of unique variance in reading comprehension at both sentence and passage levels after controlling for the effects of word reading and the other skills, but listening comprehension did not. A model on the interrelationships among the reading-related skills and Chinese reading at both word and text levels was proposed. © 2011 Society for the Scientific Study of Reading.postprin

Reading and spelling Chinese among beginning readers: What skills make a difference?

The contributions of six important reading-related skills (phonological awareness, rapid naming, orthographic skills, morphological awareness, listening comprehension, and syntactic skills) to Chinese word and text reading were examined among 290 Chinese first graders in Hong Kong. Rapid naming, but not phonological awareness, was a significant predictor of Chinese word reading and writing to dictation (i.e., spelling) in the context of orthographic skills and morphological awareness. Commonality analyses suggested that orthographic skills and morphological awareness each contributed significant amount of unique variance to Chinese word reading and spelling. Syntactic skills accounted for significant amount of unique variance in reading comprehension at both sentence and passage levels after controlling for the effects of word reading and the other skills, but listening comprehension did not. A model on the interrelationships among the reading-related skills and Chinese reading at both word and text levels was proposed. © 2011 Society for the Scientific Study of Reading.postprin