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Critics of claims about building information modeling’s (BIM’s) capability to revolutionize construction industry practices describe it as overhyped, fallacious and therefore suggest that there is need for a more critical examination of its change impacts. Others have posited that the changes BIM induces are evolutionary rather than revolutionary. In this vein, the purpose of this paper was to undertake a careful analysis of the nature of such changes to distil actual changes that happened, and the type of agency that brings such changes about.

Drawing from appropriate qualitative research strategies, data was collected through key informant interviews from consulting organizations in South Africa that have implemented BIM within their organizations and on projects.

Changes in organizations’ work practices were evident in their workflows, formal/informal methods of interaction, norms, leadership and authority structures, remuneration and the way work was conceived or conceptualized. Furthermore, changes in organizational work practices do not solely occur through the direct agency of the BIM tool’s implementation. Instead, BIM-induced change occurs by delegated, conditional and needs-based agency – which are not mutually exclusive.

The nature of changes in professional work practices could be misconstrued as being solely because of the actions of agents who actively participate in implementing BIM. The discussion in the literature has, therefore, been advanced from general to specific theoretical understandings of BIM-induced change, which emphasize the need for construction stakeholders to actively participate in developing the innovations that drive change in the industry rather than hand the power to drive change to BIM authoring and management application developers who have less stake in the industry.

The relatively low capital cost and contributions to mitigating global warming have favoured the continuous construction and operation of nuclear power plants (NPPs) across the world. One critical phase in the operation of nuclear plants for ensuring the safety and security of radioactive products and by-products is decommissioning. With the advent of digital twinning in the building information modelling (BIM) methodology, efficiency and safety can be improved from context-focus access to regulations pertaining to demolition of structures and the cleaning-up of radioactivity inherent in nuclear stations. The purpose of this study, therefore, is to propose a BIM-driven framework to achieve a more regulation-aware and safer decommissioning of nuclear power plants.

The framework considers task requirements, and landscape and environmental factors in modelling demolition scenarios that characterise decommissioning processes. The framework integrates decommissioning rules/regulations in a BIM linked non-structured query system to model items and decommissioning tasks, which are implemented based on context-focussed retrieval of decommissioning rules and regulations. The concept’s efficacy is demonstrated using example cases of digitalised NPPs.

This approach contributes to enhancing improvements in nuclear plant decommissioning with potential for appropriate activity sequencing, risk reduction and ensuring safety.

A BIM-driven framework hinged on querying non-structured databases to provide context-focussed access to nuclear rules and regulations and to aiding decommissioning is new.

This study aims to investigate the prevalence of metabolic syndrome (MetS) among people living with HIV (PLWHIV) considering a comparative study.

A comparative cross-sectional study was carried out with 247 respondents which include 123 HIV patients and 124 people without HIV (PWoH) recruited using a simple random sampling method. Anthropometric measurements were taken using the standard procedures and instruments. Systolic and diastolic blood pressure was measured in all the subjects. The lipid level and blood glucose were obtained using a vacutainer method to collect at least 5 ml of venous blood into a heparin-containing bottle and fluoride bottle, and a chemical pathology analysis was conducted at the pathology laboratory.

Using the International Diabetes Federation criteria, the overall prevalence of MetS was 21.1%, while 27.6% and 14.5% prevalence were observed among the PLWHIV and PWoH, respectively. In all, 4% of the respondents were underweight, 40.9% had normal body mass index, 29.6 were overweight and 18.6 were obese I. The mean total cholesterol and triglycerides (TG) for PLWHIV and controls were 162.59 ± 37.80, 177.54 ± 34.23, 91.62 ± 51.74 and 69.59 ± 33.87 mg/dl, respectively. There was no significant association between gender and MetS. Of all the determinants of MetS, central obesity has the highest prevalence (71.5%, 65.3%) among the PLWHIV and the controls. Raised TGs were the components of MetS with the least prevalence (9.8% and 4.8%) among PLWHIV and PWoH. There was a significant association between reduced high-density lipoprotein cholesterol (HDL-C) (p = 0.001) and raised blood pressure (p = 0.001) of PLWHIV and PWoH. This study reveals that the burden of MetS among PLWHIV is higher than apparently healthy individuals.

This study could not measure the association between specific antiretroviral therapy (ART) regimens and MetS because all the PLWHIV in the study are on one regimen Tenofovir disoproxil/lamivudine/dolutegravir. Therefore, longitudinal studies on the extent of ART on MetS should be carried out while using newly diagnosed HIV patients who are not yet on ART as controls.

Prevalence of MetS and its components toward the high range among PLWHIV compared to the PWoH who are apparently healthy individuals was found. Higher prevalence of central obesity and reduced HDL-C among PLWHIV was also found. Overall, MetS is high among PLWHIV, and this might predispose them to adverse metabolic diseases such as cardiovascular diseases, diabetes and kidney diseases among others. Therefore, screening for metabolic risk factors should be adopted as part of routine HIV care.

The findings reveal the magnitude of MetS among PLWHIV compared to the apparently healthy individuals.

Fish farmers in Africa often operate on small-scale culture units, primarily due to poor access to funding and low technology adoption. Digital innovation platforms seek to enhance farmers’ access to finance, production and farmers’ income. However, there is a lack of empirical evidence to support these claims. Therefore, this study investigated the factors influencing fish farmers’ access to microcredit from digital innovation platforms and the impact of this microcredit on fish farms’ yield and income in Nigeria.

A mixed-methods approach was adopted, and data were gathered from 387 fish farmers through a well-structured questionnaire and focus group discussion. The data were analyzed using probit regression and instrumental variable two-stage least squares regression.

The results revealed that ownership of smartphones, awareness of digital agricultural innovation platforms, farmers’ education, income, fish farming as a primary occupation, cooperative society and extension contacts positively influenced farmers’ access to microcredit from digital innovation platforms. The age of farmers and household size negatively influenced their access to digital microcredit. Digital microcredit positively and significantly impacted fish farms’ yield and farmers’ income.

Digital microcredit significantly increased fish farm yield and income. Therefore, digital innovation platforms should be encouraged and promoted through the creation of awareness about their ability to solve inadequate financing in agriculture by agricultural extension agents.

This study contributes to our understanding of the influencing factors for farmers accessing digital microcredit and how digital microcredit enhances farm yield and income.