46 research outputs found

    Comparing Classification and Regression Tree and Support Vector Machine for Analyzing Sentiments for IPL 2016

    Get PDF
    Social media is incredibly popular method for expressing opinions and interacting with other people in the online world. Twitter is one of the most frequent online social media and micro blogging services. It enables users to communicate with others and get updates on topics and events that interest them. Tweets can reflect public attitude when taken in aggregation, for example during events such as IPL 2016.Machine learning makes sentiment analysis more effective. In this paper, we examine the evaluation of machine learning algorithms (CART and SVM) in R to find the public opinions about event IPL 2016

    Establishing New Links Between HRM Practices and Knowledge Workers’ Retention in Healthcare Sector: Knowledge Sharing Generating Moderating Effects

    Get PDF
    Knowledge sharing is the fundamental measure through which knowledge workers can significantly contribute to innovation and eventually the competitive advantage of the organization. Drawing upon the knowledge-based view of firms, the present study aims to examine the moderating role of knowledge sharing on the relationship between HRM practices and knowledge workers’ retention in the healthcare sector. After the COVID impact, healthcare knowledge workers have become a point for wide scholarly discussion and appropriate HRM practices should be implemented to amplify their probability of a longer stay in the organization. Hence, this research has incorporated PLS-SEM for empirical investigation which is based on prior discussions with some healthcare experts. The results propagate that knowledge sharing moderates HRM practices-retention linkage except training and development which is found to be statistically insignificant. The empirical evidence generated could be crucial for researchers and practitioners within the healthcare sector, thereby, extending assistance in establishing world-wide recognition

    Segmental odontomaxillary dysplasia

    No full text
    Segmental odontomaxillary dysplasia is a type of hemi-maxillofacial dysplasia. It is a sporadic, mesoectodermal dysplasia that presents early in life, possibly as early as in utero and exhibits male gender predominance (1.7:1.0). Its features include enlargement of the soft tissue and/or bone of one hemimaxilla that may produce mild facial asymmetry, sclerotic radiographic bone changes and dental developmental abnormalities. The dense bone, which often exhibits a radiographic vertical orientation of the trabecular bone pattern, is generally associated with delayed eruption of the teeth. Congenitally missing premolar teeth (eithe or both) is a common feature of this condition that is of significant diagnostic value. Ipsilateral cutaneous findings have been reported in 23% of cases. Immature woven bone forming irregular patterns are seen histologically. Herein, we present a case report on segmental odontomaxillary dysplasia in a 13-year-old boy
    corecore