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The purpose of this study for eHealth text mining domains, cosine-based visual methods (VM) assess the clusters more accurately than Euclidean; which are recommended for tweet data models for clusters assessment. Such VM determines the clusters concerning a single viewpoint or none, which are less informative. Multi-viewpoints (MVP) were used for addressing the more informative clusters assessment of health-care tweet documents and to demonstrate visual analysis of cluster tendency.

In this paper, the authors proposed MVP-based VM by using traditional topic models with visual techniques to find cluster tendency, partitioning for cluster validity to propose health-care recommendations based on tweets. The authors demonstrated the effectiveness of proposed methods on different real-time Twitter health-care data sets in the experimental study. The authors also did a comparative analysis of proposed models with existing visual assessment tendency (VAT) and cVAT models by using cluster validity indices and computational complexities; the examples suggest that MVP VM were more informative.

In this paper, the authors proposed MVP-based VM by using traditional topic models with visual techniques to find cluster tendency, partitioning for cluster validity to propose health-care recommendations based on tweets.

In this paper, the authors proposed multi-viewpoints distance metric in topic model cluster tendency for the first time and visual representation using VAT images using hybrid topic models to find cluster tendency, partitioning for cluster validity to propose health-care recommendations based on tweets.

The purpose of this study is to develop a robot for non-destructive testing of the pipelines to improve its reliability and reduce the loss of products due to cracks, corrosions, etc.

In this study, an inline inspection robot was developed for crack and corrosion detection in the pipeline. The developed robot consists of ultrasonic sensors to avoid obstacles, a visual aid with high resolution to view real time images and colour sensors for corrosion detection. The Autodesk inventor software was used for the drafting and solid modelling of the robot. A dummy pipe of 500 mm diameter and 2,000 mm length with induced cracks and corrosion was fabricated to test the robot. The colour sensors placed at each side of the robot were used to detect corrosion in the dummy pipe whilst the image processing was done to analyse the crack, as well as the type and depth of corrosion present in the dummy pipe.

The results obtained show the ability of the developed robot to detect cracks and determine the crack growth in the pipeline in addition to its ability to determine corrosion.

Hence, the study provides a diagnostic tool for detecting pipeline defects and analysing the extent of defects to determine the fatigue rate and the useful life of the pipeline.

The novelties of this study is based on the fact that it was designed to avoid obstacles and check for cracks, leakage and corrosion in pipelines autonomously. It has visual aid that makes it possible to see the interior of the pipe. This makes it easier to identify the defect and the location of the defects before a catastrophic failure. The device is also equipped with sensors, which can detect defects and send the signal to a control system, as well as a Bluetooth device so the operator can have real time information about the state and integrity of the pipelines. The system is also integrated with a Bluetooth device, which permits its compatibility with Android and other mobile applications. Thus, the enabled user can send a command to query the state of the pipeline at any location with the feedback received in the form of short message service. Hence, this study offers contribution in the development of an independent (self-governing) system with the capability to autonomously detect defects in pipe walls and effectively communicate feedback to the authorised users. The prototype model for the evaluation of pipeline integrity will bring about a more proactive way to detect pipeline defects so that effort can be geared towards its restoration before it becomes a major problem, which will subsequently affect productivity and incur losses.

The purpose of this study is to examine the factors that influence the consumer intention to adopt Islamic banking.

The study extends the theory of reasoned action (TRA) by incorporating additional variables such as government support, perceived risk, perceived image, religiosity and culture. A research instrument adapted from previous studies is administered online on a sample of 310 respondents. The data collected are subjected to exploratory factor analysis followed by structural equation modeling using SPSS and analysis of a moment structures (22.0 Version).

The results of the study reveal that consumer intention to use Islamic banking is collectively determined by attitude, religiosity, culture, government support and perceived risk. It reflects that attitude and religiosity are the major predictors of a consumer’s intention followed by government support. Furthermore, results indicate that a consumer’s attitude toward Islamic banking is determined by social influence, government support, religiosity and perceived risk. Also, it is found that culture and perceived image have no significant effect on a consumer’s attitude toward adoption of Islamic banking. Further, the results indicate that attitude mediates the effect of religiosity, perceived risk, government support and culture on a consumer’s intention to use Islamic banking.

The success of Islamic banking ultimately depends on consumer readiness and adoption of it. This study provides significant insights into various aspects of consumer attitude and intention toward Islamic banking adoption. The results provide vital inputs to policymakers and practitioners in offering and promoting Islamic banking. Also, the knowledge and understanding of key consumer specific factors can be used by banks in framing strategies for positioning and targeting Islamic banking products. The study is subjected to certain limitations such as – the study accounts only for limited factors and does not provide for factors such as pricing, behavioral control and Islamicity of the product. Second, this study is limited to the geographic area of Kashmir. Third, the study design is cross-sectional is nature.

Essentially, this study is a pioneering effort in applying an integrated TRA model to determine consumer intention to use Islamic banking in Kashmir. Furthermore, the current study examines the relationship between additional variables simultaneously within the framework of TRA. The study also explores the effect of religiosity and culture on consumer’s attitude and intention, which has remained largely unexplored in the context of Islamic banking.

Hospital solid waste may cause serious health hazards and impair the quality of life of the community through transmission of diseases and injury if not properly managed. Therefore, the purpose of this paper is to examine solid waste management practice (SWMP) in Obafemi Awolowo University Teaching Hospital Complex.

Primary data were collected for this study through interview and questionnaire administration. Systematic sampling technique was used to select 60 students, 13 staffs, 43 cleaners, 8 contractors, and a management staff for questionnaire administration. Data obtained were analyzed using frequency distribution, pictorial analysis, and factor analysis.

Findings established that solid wastes components generated in the hospital were not segregated in line with the directive of the World Health Organization. The study further established that the factors influencing SWMP accounted for 79.9 percent variance in the following proportion: available storage and collection facilities (30.94 percent), number of patients’ factors (17.86 percent), transportation factor (15.39 percent), human and material resource factors (8.33 percent), and disposal (7.36 percent).

The study therefore concludes that the effectiveness of SWMPs depends on the facilities and equipment, human resources capacity, and frequency of waste collection and disposal.