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Evidence of overprescribing of psychotropic medicines to manage challenging behaviour in people with intellectual disabilities has led to national programmes within the UK to promote deprescribing, such as stopping the overprescribing of medication in people (with learning disabilities, autism or both). To successfully implement deprescribing initiatives, we need to understand how to engage stakeholders in the process.

In a published systematic review, we reported evidence about the process of deprescribing psychotropic medicines for people of all ages with intellectual disabilities and challenging behaviour. As a part of the original review, we searched for evidence about stakeholders’ experiences of the psychotropic deprescribing process, which was synthesised and reported within the current study.

Six studies were identified. Involving carers and people with intellectual disabilities, providing ongoing support and improving access to non-pharmacological interventions, including positive behaviour support, may contribute to successful outcomes, including reducing or stopping psychotropic medicines and improving quality of life. Implementing psychotropic deprescribing requires a multidisciplinary collaborative care approach and education for stakeholders.

There have been no previous reviews of stakeholder experiences of deprescribing psychotropic medications for people with intellectual disabilities and challenging behaviour. The existing literature is scant, and further research is needed.

Microteaching is a teacher training method based on microclasses (groups of four or five students) and microlessons lasting no more than 5–20 min. Since it was first explored in the late 20th century in experiments at Stanford University, microteaching has evolved at the interdisciplinary level. The purpose of this paper is to examine the networks found via an analytical bibliometric study of the scientific output related with microteaching in teacher training, through a study and examination of the Web of Science database.

This research was conducted with the VOSviewer tool for content analysis through data mining and scientific network structure mapping by means of the normalisation technique. This technique is based on the association strength indicator, which is interpreted as a measurement of the similarity of the units of analysis.

Two hundred and nine articles were thus obtained from the Web of Science database. The networks generated and the connections among the various items, co-authorship and co-citation are presented in the results, which clearly indicates that there are significant authors and institutions in the field of microteaching. The largest cluster is made up of institutions such as Australian Catholic University. The most often-cited document is by Rich and Hannafin. Allen (1968), who defines microteaching as a technique based on microclasses and microlessons, is the author most often cited and has the largest number of connections.

This research’s limitations concern either aspects that lie beyond the study’s possibilities or goals that have proved unattainable. The second perspective, which focuses on skill transfer, contains a lower percentage of documents and therefore has a weaker central documentary structure. Lastly, the authors have also had to bear in mind the fact that the scientific output hinges upon a highly specific realm, the appearance and/or liberalisation of digital technologies and access to those technologies in the late 20th century.

This research shows that microteaching is a promising area of research that opens up vast possibilities in higher education teacher training for application in the realm of technologies. This paper could lead to several lines of future research, such as access to and the universal design of learning from the standpoint of different communication and pedagogical models based on microteaching.

The purpose of this study is to address a highly heterogeneous rift margin environment and exhibit considerable spatiotemporal hydro-climatic variations. In spite of limited, random and inaccurate data retrieved from rainfall gauging stations, the recent advancement of satellite rainfall estimate (SRE) has provided promising alternatives over such remote areas. The aim of this research is to take advantage of the technologies through performance evaluation of the SREs against ground-based-gauge rainfall data sets by incorporating its applicability in calibrating hydrological models.

Selected multi satellite-based rainfall estimates were primarily compared statistically with rain gauge observations using a point-to-pixel approach at different time scales (daily and seasonal). The continuous and categorical indices are used to evaluate the performance of SRE. The simple scaling time-variant bias correction method was further applied to remove the systematic error in satellite rainfall estimates before being used as input for a semi-distributed hydrologic engineering center's hydraulic modeling system (HEC-HMS). Runoff calibration and validation were conducted for consecutive periods ranging from 1999–2010 to 2011–2015, respectively.

The spatial patterns retrieved from climate hazards group infrared precipitation with stations (CHIRPS), multi-source weighted-ensemble precipitation (MSWEP) and tropical rainfall measuring mission (TRMM) rainfall estimates are more or less comparably underestimate the ground-based gauge observation at daily and seasonal scales. In comparison to the others, MSWEP has the best probability of detection followed by TRMM at all observation stations whereas CHIRPS performs the least in the study area. Accordingly, the relative calibration performance of the hydrological model (HEC-HMS) using ground-based gauge observation (Nash and Sutcliffe efficiency criteria [NSE] = 0.71; R² = 0.72) is better as compared to MSWEP (NSE = 0.69; R² = 0.7), TRMM (NSE = 0.67, R² = 0.68) and CHIRPS (NSE = 0.58 and R² = 0.62).

Calibration of hydrological model using the satellite rainfall estimate products have promising results. The results also suggest that products can be a potential alternative source of data sparse complex rift margin having heterogeneous characteristics for various water resource related applications in the study area.

This research is an original work that focuses on all three satellite rainfall estimates forced simulations displaying substantially improved performance after bias correction and recalibration.

This study aims to emphasize the youth community’s importance in sustaining green entrepreneurial efforts. The study used the stimulus organism response framework as the theoretical base using two separate studies.

Study 1 commences the development of the student green engagement construct through a focus group, panel discussion and exploratory factor analysis, which supported five items. Study 2 measures the relationship of student green engagement with green entrepreneurial intention by mediating university entrepreneurial support and entrepreneurial motivation. Data from 448 students were gathered from five Malaysian private institutions using a purposive sampling technique.

Findings indicate a robust association of student green engagement (stimuli) with green entrepreneurial intention (organism). Furthermore, mediation analysis shows strong mediating effects of university entrepreneurial support and entrepreneurial motivation on green entrepreneurship behavior (response).

The study’s findings can help the universities and concerned governmental departments instill a sense of sustainable entrepreneurship in university students.

This study aims to undertake a theoretical and technical exploration of the literature on Work Readiness (WR) through the implementation of a systematic literature review and bibliometric analysis. The present study addresses seven distinct research questions: (1) an examination of the descriptive features characterizing the literature on WR, (2) an analysis of trends in annual scientific publications related to WR, (3) the identification of the most pertinent and high-impact sources contributing to WR, (4) the delineation of the globally cited articles exerting the most influence on WR, (5) the determination of the most relevant countries associated with WR, (6) an evaluation of the outcomes derived from Bradford’s Law of Scattering and Lotka’s Law of scientific productivity in the context of WR, and (7) the identification of the prevailing research avenues that hold significance for future studies on WR.

The present study employed Systematic Literature Review (SLR) and bibliometric analysis mapping techniques to analyze 521 articles extracted from the Scopus database. The analysis utilized Biblioshiny software and VOSviewer software as the primary tools.

The findings reveal that WR constitutes a steadily expanding subject discipline, showcasing a notable 9.12% annual growth in scientific production spanning from 1975 to 2023. Australia, the USA, and Canada emerged as the most productive countries within the field of WR, as evidenced by their cumulative scientific production. The thematic map of keyword analysis suggests several burgeoning pathways for future researchers in the WR domain, including workplace learning, functional capacity evaluation, graduate WR, digital literacy, blended learning, resilience, and curriculum.

This study contributes to the WR discourse by providing a comprehensive literature review. The findings of this study hold significance for graduates, universities, employers, the higher education industry, and the broader community.