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This paper aims to examine the mediating role of occupational stress in addressing the missing gap between organisational intelligence (OI) traits and digital government service quality.

By employing multistage cluster sampling, a total of 394 responses from the Malaysian service providers at federal government agencies were obtained. For data analysis, the partial least square structural equation modelling (PLS-SEM) approach with a disjoint two-stage approach was employed to assess the proposed higher-order model. The analysis was carried out to examine how occupational stress mediates the relationship between OI traits at each component level and digital service quality.

Occupational stress mediates the relationship between OI traits at the third-order component level and digital service quality. At the second-order component level, only the employee-oriented OI traits exhibit a significant indirect effect on the digital government service quality. Narrowing down to the first order component level, two OI traits, namely “Alignment and Congruence”, and “Heart” demonstrate significant indirect effects in the mediation analysis.

By incorporating the organisational model of stress (OMS) with public service-dominant logic (PSDL), this paper takes an approach to revitalise the stressors and individual-level performance used in a traditional work setting. Precisely, it examines how digital service quality is influenced by today's high-performing public organisation stressors (OI traits) along with non-technical element (occupational stress). More importantly, digital government service quality was examined from a less emphasised perspective, namely the supply side or service providers’ standpoint in sustaining the digital government service performance.

This paper presents a conceptual model that links digital government service quality with organisational intelligence (OI) traits and occupational stress among the service providers in the public sector.

This is a conceptual paper that carries out a systematic review of the key literature from 1978 to 2021, concerning the evolution of models, scales and dimensions attributing to digital government service quality, OI traits and occupational stress. Following this, a new conceptual model is proposed to reflect the need of today's public service delivery from a broader perspective.

Based on the reviews of the existing models, there is no convincing evidence of the existence of a conceptual model that incorporates digital government service quality, OI traits and occupational stress from the public service providers' viewpoint. Therefore, a conceptual model, with occupational stress acting as a mediator between various OI traits and digital government service quality, is presented as a comprehensive framework to heighten the quality of the public service delivery.

This paper explores the gap in the current service quality studies and proposes a conceptual model that is more reflective of today's public service delivery. Firstly, it helps better understand digital government service quality from a much less focused area, the supply side (service providers) standpoint as opposed to the demand side (citizen) viewpoint (citizen). Secondly, it extends the understanding of performance and evaluation of public service delivery from perspectives such as knowledge utilisation, strategic alignment and participatory decision-making. Thirdly, it extends the literature on digital service quality from a non-technological perspective, as to how it is influenced by employees' psychological well-being factors.

The precise segmentation of brain tumors is the most important and crucial step in their diagnosis and treatment. Due to the presence of noise, uneven gray levels, blurred boundaries and edema around the brain tumor region, the brain tumor image has indistinct features in the tumor region, which pose a problem for diagnostics. The paper aims to discuss these issues.

In this paper, the authors propose an original solution for segmentation using Tamura Texture and ensemble Support Vector Machine (SVM) structure. In the proposed technique, 124 features of each voxel are extracted, including Tamura texture features and grayscale features. Then, these features are ranked using the SVM-Recursive Feature Elimination method, which is also adopted to optimize the parameters of the Radial Basis Function kernel of SVMs. Finally, the bagging random sampling method is utilized to construct the ensemble SVM classifier based on a weighted voting mechanism to classify the types of voxel.

The experiments are conducted over a sample data set to be called BraTS2015. The experiments demonstrate that Tamura texture is very useful in the segmentation of brain tumors, especially the feature of line-likeness. The superior performance of the proposed ensemble SVM classifier is demonstrated by comparison with single SVM classifiers as well as other methods.

The authors propose an original solution for segmentation using Tamura Texture and ensemble SVM structure.

The rising prevalence of obesity among Indian adolescents has underscored the need to develop effective strategies to reduce this epidemic. The purpose of this paper is to assess the patterns of snacking, meal consumption and fast food consumption among adolescents in private schools in Kolkata, India.

A cross-sectional, paper-based, self-administered dietary and lifestyle survey was completed by 1,026 year-nine students aged 14–16 years. Cross-tabulation analyses were performed to compare the frequencies of various dietary behaviours across gender.

The two most common episodes for snacking among respondents were while watching television (57.9 per cent) and while interacting with peers (54.1 per cent). In contrast, snacking throughout the day (8.7 per cent) and in the middle of the night (7.8 per cent) were minimally practiced by the adolescents. The most regularly consumed meal was lunch (94.6 per cent), whereas the most frequently missed meal was breakfast (14.0 per cent). Fast food was most frequently consumed as snacks (26.8 per cent) but least frequently consumed for lunch (9.2 per cent). Overall, boys exhibited more unhealthy dietary behaviours than girls.

These findings highlight the need to develop nutrition education programmes for nutritionally vulnerable adolescents which communicate the importance of regular meal consumption, reduced intake of fast food and less snacking on energy-dense, nutrient-poor foods.

This is the first cross-sectional survey to investigate patterns of snacking, meal consumption and fast food consumption amongst urban Indian adolescents.

This study aims to identify the level of security from existing work, analyze categories of security as a service (SECaaS) and classify them into a meaningful set of groups. Further, the report will advise commercial applications and advice of SECaaS as an extended context to help firms make decisions.

This paper compares the SECaaS categories in Cloud Security Alliance (CSA) with the security clauses in ISO/IEC 27002:2013 to give a comprehensive analysis of those SECaaS categories. Reviewed from a number of related literature, this paper analyzes and categorizes SECaaS into three major groups including protective, detective and reactive based on security control perspectives. This study has discussed the three groups and their interplay to identify the key characteristics and problems that they aim to address.

This paper also adds new evidence to support a better understanding of the current and future challenges and directions for SECaaS. Also, the study reveals both the positive and negative aspects of SECaaS along with business cases. It advises on various sizes and domains of organizations to consider SECaaS as one of their potential security approaches.

SECaaS has been demonstrated to be one of the increasingly popular ways to address security problems in Cloud computing. As a new concept, SECaaS could be treated as integrated security means and delivered as a service module in the Cloud. However, it is still in infancy and not very widely investigated. Recent studies suggest that SECaaS is an efficient solution for Cloud and real industries. However, shortcomings of SECaaS have not been well-studied and documented. Moreover, reviewing the existing research, researchers did not classify the SECaaS-related categories.