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Abstract Background Provision of critical care in rural areas is challenging due to geographic distance, smaller facilities, generalist skill mix and population characteristics. Internationally, the amalgamation telemedicine and retrieval medicine services are developing to overcome these challenges. Virtual emergency clinical advisory and transfer service (vCare) is one of these novel services based in New South Wales, Australia. We aim to describe patient encounters with vCare from call initiation at the referring site to definitive care at the accepting site. Methods This retrospective observational study reviewed all patients using vCare in rural and remote Australia for clinical advice and/or inter-hospital transfer for higher level of care between February and March 2021. Data were extracted from electronic medical records and included remoteness of sites, presenting complaint, triage category, camera use, patient characteristics, transfer information, escalation of therapeutic intervention and outcomes. Data were summarised using cross tabulation. Results 1,678 critical care patients were supported by vCare, with children (12.5%), adults (50.6%) and older people (36.9%) evenly split between sexes. Clinicians mainly referred to vCare for trauma (15.1%), cardiac (16.1%) and gastroenterological (14.8%) presentations. A referral to vCare led to an escalation of invasive intervention, skill, and resources for patient care. vCare cameras were used in 19.8% of cases. Overall, 70.5% (n = 1,139) of patients required transfer. Of those, 95.1% were transferred to major regional hospitals and 11.7% required secondary transfer to higher acuity hospitals. Of high-urgency referrals, 42.6% did not receive high priority transport. Imaging most requested included CT and MRI scans (37.2%). Admissions were for physician (33.1%) and surgical care (23.3%). The survival rate was 98.6%. Conclusion vCare was used by staff in rural and remote facilities to support decision making and care of patients in a critical condition. Issues were identified including low utilisation of equipment, heavy reliance on regional sites and high rates of secondary transfer. However, these models are addressing a key gap in the health workforce and supporting rural and remote communities to receive care.

The use of trait-based approaches to understand ecological communities has increased in the past two decades because of their promise to preserve more information about community structure than taxonomic methods and their potential to connect community responses to subsequent effects of ecosystem functioning. Though trait-based approaches are a powerful tool for describing ecological communities, many important properties of commonly-used trait metrics remain unexamined. Previous work in studies that simulate communities and trait distributions show consistent sensitivity of functional richness and evenness measures to the number of traits used to calculate them, but these relationships have yet to be studied in actual plant communities with a realistic distribution of trait values, ecologically meaningful covariation of traits, and a realistic number of traits available for analysis. Therefore, we propose to test how the number of traits used and the correlation between traits used in the calculation of functional diversity indices impacts the magnitude of eight functional diversity metrics in real plant communities. We will use trait data from three grassland plant communities in the US to assess the generality of our findings across ecosystems and experiments. We will determine how eight functional diversity metrics (functional richness, functional evenness, functional divergence, functional dispersion, kernel density estimation (KDE) richness, KDE evenness, KDE dispersion, Rao's Q) differ based on the number of traits used in the metric calculation and on the correlation of traits when holding the number of traits constant. Without a firm understanding of how a scientist's choices impact these metric, it will be difficult to compare results among studies with different metric parametrization and thus, limit robust conclusions about functional composition of communities across systems.

The geometries and topologies of leaves, flowers, roots, shoots, and their arrangements have fascinated plant biologists and mathematicians alike. As such, plant morphology is inherently mathematical in that it describes plant form and architecture with geometrical and topological techniques. Gaining an understanding of how to modify plant morphology, through molecular biology and breeding, aided by a mathematical perspective, is critical to improving agriculture, and the monitoring of ecosystems is vital to modeling a future with fewer natural resources. In this white paper, we begin with an overview in quantifying the form of plants and mathematical models of patterning in plants. We then explore the fundamental challenges that remain unanswered concerning plant morphology, from the barriers preventing the prediction of phenotype from genotype to modeling the movement of leaves in air streams. We end with a discussion concerning the education of plant morphology synthesizing biological and mathematical approaches and ways to facilitate research advances through outreach, cross-disciplinary training, and open science. Unleashing the potential of geometric and topological approaches in the plant sciences promises to transform our understanding of both plants and mathematics.

Succession and community assembly research overlap in many respects, such as through their focus on how ecological processes like dispersal, environmental filters, and biotic interactions influence community structure. Indeed, many recent advances have been made by successional studies that draw on modern analytical techniques introduced by contemporary community assembly studies. However, community assembly studies generally lack a temporal perspective, both on how the forces structuring communities might change over time and on how historical contingency (e.g. priority effects and legacy effects) and complex transitions (e.g. threshold effects) might alter community trajectories. We believe a full understanding of the complex interacting processes that shape community dynamics across large temporal scales can best be achieved by combining concepts, tools, and study systems into an integrated conceptual framework that draws upon both succession and community assembly theory.

Organizations play an essential role in fostering a diverse and inclusive work environment. Despite attempts to encourage gender diversity in the workplace, the construction industry in Australia remains one of the most male-dominated industries. Existing research tends to focus on identifying barriers to gender equality and women’s career development, with limited exploration of organizations’ current initiative implementation. To fill this research gap, this study aims to examine how organizations implement initiatives affecting gender equality and women’s career development in the Australian construction industry. This study applied the women’s empowerment framework and conducted a thematic analysis of diversity, inclusion, and equality policies, strategies, action plans, corporate reports, annual reports, and websites within the context of gender equality and women’s career development in construction companies. Through a comprehensive analysis, the study identifies prevalent practices and initiatives related to gender equality initiatives in the construction industry, synthesizing them into six themes: flexible working arrangements, inclusive and anti-discriminatory culture, promoting career development, recruitment, and promotion, shared caring responsibility, and strategic commitments. The findings also revealed areas for improvement, giving recommendations on how to further empower women in the construction industry through enhanced gender diversity initiatives. This study sheds light on the current state of gender diversity and inclusion efforts within construction companies and provides practical recommendations for policymakers, industry stakeholders, and organizational leaders who seek to foster more inclusive and equitable work environments.

The potential to promote health and safety (H&S) through public procurement has resulted in increased expectation for public sector clients to integrate H&S matters into their procurement decisions and practices. Developing countries are however far behind in this endeavour. Using qualitative research, therefore, this study explored how public clients integrate H&S into the procurement of public works. Data was collected through semi-structured interviews with 20 contractors and public sector clients who have vast experience in the procurement of public works. The data was analysed using both inductive and deductive thematic analyses. The findings show that the extent of H&S integration into the procurement process depended on the funding source(s) for public projects. H&S matters are generally overlooked in the various procurement stages for public projects funded by the government, while in those funded by international development agencies, H&S matters are prioritized, and therefore, given considerable attention. The research contributes to construction H&S improvement research in developing countries by giving insight into the extent of H&S integration into public procurement. It also contributes to the understanding of the influence of funding sources on the extent to which H&S matters are integrated into public procurement in developing countries.

There is a need to promote the mental health and well-being of young people who work in the construction industry worldwide. Although research exists on young construction workers’ mental health, it conceptualises mental health as a disease and focuses predominantly on issues connected with negative aspects of mental health. In contrast, research that can inform the promotion and protection of positive mental health, which is crucial to young construction workers’ achievement of good mental health and well-being, is scarce. To improve this situation, it is necessary to develop frameworks that reconceptualise mental health as a positive phenomenon and provide a comprehensive picture of how positive mental health is achieved by young construction workers. In this study, therefore, we propose a conceptual framework and five testable propositions based on Meleis’ middle-range theory of transitions and Keyes’ Dual-Continuum Model, both of which focus on the attainment of well-being. The proposed framework wholistically captures the structure of the distal, intermediary, and proximal determinants of young construction workers’ positive mental health and the relationships among them. The framework and its accompanying propositions provide a basis for undertaking multi-level and context-specific research that can adequately inform the development of interventions and policies for promoting and protecting young construction workers’ positive mental health.

Traditional progress monitoring can be inaccurate and time-consuming, potentially causing time delay and cost overrun in construction projects. With development in technology, tools such as cameras, laser scanners, and building information modelling (BIM) have been used to overcome existing problems in the traditional approach. However, noise mitigation, extracting objects of interest from laser point clouds, and detailed progress measurement are problems that still exist. In this study a novel method of construction progress monitoring to measure the progress percentage is presented. The study integrates the simultaneous localization and mapping (SLAM) technique with as-built BIM to gather quick and accurate construction site progress information. The Hausdorff distance is utilized to extract objects of interest and filter out noise from site-scan data. As-built and as-planned BIM models are compared using Python and Dynamo, to obtain progress percentage. A case study was conducted on a residential building located in Sydney, Australia, to validate the application of the developed method. The outcome demonstrates that utilizing the SLAM technique and Hausdorff distance are effective in mitigating noise and extracting objects of interest from site-scan data, respectively. In addition, with an accuracy of 94.67 percent in estimation, the progress percentage was obtained based on material quantities. The obtained progress percentage could also be used in updating construction schedules and assisting decision-making.

An emerging challenge in plant biology is to develop qualitative and quantitative measures to describe the appearance of plants through the integration of mathematics and biology. A major hurdle in developing these metrics is finding common terminology across fields. In this review, we define approaches for analyzing plant geometry, topology, and shape, and provide examples for how these terms have been and can be applied to plants. In leaf morphological quantifications both geometry and shape have been used to gain insight into leaf function and evolution. For the analysis of cell growth and expansion, we highlight the utility of geometric descriptors for understanding sepal and hypocotyl development. For branched structures, we describe how topology has been applied to quantify root system architecture to lend insight into root function. Lastly, we discuss the importance of using morphological descriptors in ecology to assess how communities interact, function, and respond within different environments. This review aims to provide a basic description of the mathematical principles underlying morphological quantifications. [ABSTRACT FROM AUTHOR]

Young construction workers employ different practices to cope with psychosocial risks, most of which prevent them from achieving mental well-being. Managing this problem has been a challenge because research on the topic is fragmented. To contribute to addressing this problem, we systematically reviewed the literature on young construction workers’ coping practices using meta-aggregation guided by the PICo and PRISMA frameworks. We sought to identify young construction workers’ coping mechanisms and the factors that influence their choice of coping practices. A total of 345 studies were retrieved, and 24 studies published between 1993 and 2022 met the inclusion criteria. Using deductive thematic analysis, we identified 28 coping practices and categorized them into eight mechanisms and three domains. Eleven determinants of young construction workers’ coping choices emerged and were classified as personal and environmental factors. This review provides knowledge for building theory on young construction workers’ coping and stresses the need for further studies on the role of influencing factors such as age, individual resilience, coping experience, religion, and spirituality. Findings from this review can serve as an evidence base for researchers, occupational health practitioners, and policy-makers for developing interventions that can promote the uptake of beneficial coping practices by young construction workers.

Decision-making on whole-life-cycle net-zero-carbon buildings is critical for addressing carbon emission and environmental problems. However, there is a lack of a data integration framework and an open international standard approach integrating key decision variables to support scientific computations and decision-making for whole-life-cycle net-zero-carbon buildings. Building information modelling (BIM) is an open international standard representing building information. Digital Twin (DT) can capture and monitor real-time building conditions to facilitate building operation. Integrating information acquired by DT with BIM has considerable potential to enable an open international standard based computational representation of key decision variables throughout the whole-building life cycle process. This paper aims to develop a novel conceptual framework that integrates BIM and DT to support net-zero-carbon buildings. The framework is developed using an open international standard approach and the ontology-based representation method, to define key decision variables using entities, properties, and relationships, and integrates captured data via DT. The research makes significant contributions to enable net-zero-carbon buildings and paves the way for future research on an automated system to support decision-making for the whole-life-cycle net-zero-carbon buildings.

With the development of the times, the challenge of the construction industry entering Construction 4.0 and surviving in it is still formidable. Although many studies state the importance of effective leadership in the context of Construction 4.0, there is a need to investigate what leadership qualities can effectively provide guidance on leading construction organisations in this era. Through a focused review, this study aims to propose a series of key leadership competencies in the context of Construction 4.0 for guiding the digital transformation and the development of leaders in construction organisations, as well as complementing the existing Construction 4.0 research gap in organisational management. Through in-depth analysis of the retrieved literature, this research extracted and analysed 22 leadership competencies, classified them into four top-level themes (cognition, interpersonal communication, business, and strategy), and discussed the potential relationships among them. Theoretically, the article provides the basis and guidance for future leadership research by redefining and explaining the meaning of each competency. In practice, the paper provides construction industry practitioners with guidance on the development of effective leadership in the era of Construction 4.0.

Many previous studies have reported that the occupational health and safety (OHS) enforcement is poor in developing countries, however these studies have mainly focused on the broader enforcement problems and not fully considered the challenges confronting the institutions responsible for enforcing OHS standards at workplaces. In this study, twelve potential challenges were identified from an extensive literature review, then an empirical investigation was carried out via a questionnaire survey from OHS inspectors and professionals in the Ghanaian construction industry. The twelve challenges were confirmed and ranked. Also, analysis of variance (ANOVA) and correlation were used to determine the statistical significance of the responses and the relationships between the challenges. Based on these findings, this study provides practical strategies for government, OHS inspectors and other professionals within the construction industry to improve the OHS enforcement. The research findings can also be adopted as a basis to assess challenges confronting OHS institutions in other developing countries.

Construction and demolition waste (CDW) is described as a material which is indispensably arisen from construction and demolition (C&D) activities and ought to be effectively managed, otherwise, its improper management can produce negative economic, environmental, and social impacts. Effective management of CDW leads to the corroboration of structures and leading to an authentic impact on natural systems. Therefore, it is vital to consider a potent concept capable of analyzing effective construction and demolition waste management (CDWM). This study aims at developing a framework to assess the effectiveness of CDWM. The proposed conceptual framework includes three main categories, namely CDWM contributing factors, CDWM hierarchy, and effective CDWM. CDWM contributing factors consist of four main categories, namely CDWM stakeholders’ attitudes, CDWM from sustainability point of view, CDWM tools, and CDW project life cycle. In developing this framework, and in addition to the contributing factors, supportive theories have been applied for the purpose of justification. Based on a systematic research method, 214 research documents were revealed initially and after refining process, 32 relevant research documents were unveiled and then thoroughly considered. It was revealed that sustainability concept is the main foundation of CDWM. Accordingly, the Theory of Planned Behaviour (TPB) was identified as a fundamental pillar that supports stakeholders’ attitudes in effective CDWM assessment.

Despite being a key provider of employment, construction work significantly contributes to poor mental health among young construction workers worldwide. Although there are studies on the psychosocial risk factors (PRFs) that make young construction workers susceptible to poor mental health, the literature is fragmented. This has obscured a deeper understanding of PRFs and the direction for future research, thus making it challenging to develop appropriate interventions. To address this challenge, we systematically reviewed the literature on young construction workers’ PRFs using meta-aggregation, guided by the PICo, PEO, and PRISMA frameworks. We sought to synthesize the domains of PRFs that affect young construction workers’ mental health, and to determine the relationships between the PRF domains, psychological distress, and poor mental health. A total of 235 studies were retrieved and 31 studies published between 1993 and 2020 met the inclusion criteria. We identified 30 PRFs and categorized them into ten domains, which were further classified into personal, socio-economic, and organizational/industrial factors. The findings of this review contribute to achieving an in-depth understanding of young construction workers’ PRF domains and their patterns of interaction. The findings are also useful to researchers and policymakers for identifying PRFs that are in critical need of attention.

Gender equality at work in male-dominated industries is conditioned by intrinsic systemic issues which established policies have, to a significant extent, failed to address, as women’s participation remains under-represented. This study argues for the reappraisal of the issue through a different lens and carries out a systematic and thematic review of the literature on women in construction in Australia through a women’s empowerment framework. Despite its usual application in gender inequality at work in development studies, the concept of empowerment lacks attention in the context of developed countries, particularly regarding the construction industry. Empowerment has been proved a useful overarching framework to analyse personal, relational, and environmental factors affecting women’s ability to be or do. In the examined studies, there is significant focus on external barriers to women in construction, such ‘organisational practices’ (environmental), ‘support’ and ‘others’ attitudes and behaviour’ (relational). There is, however, limited attention to more active stances of power, such as one’s attitude (personal), control and capacity, in shifting power dynamics. The paper draws seven major findings, covering personal, relational and environmental dimensions, supported and supplemented by some international studies, and suggests the way forward for empowering women in construction.

Mobile construction machineries are accident-prone on a dynamic construction site, as the site environment is constantly changing and continuous safety monitoring by human beings is impossible. These accidents usually happen in the form of machinery overturning or collapsing into risk areas, including the foundation pit, slopes, or soft soil area. Therefore, preventing mobile construction machineries from entering risk areas is the key. However, currently, there is a lack of practical safety management techniques to achieve this. Utilizing a wireless sensor device to collect the location information of mobile construction machineries, this research develops a safety warning algorithm to prevent the machineries moving into risk area and reduces onsite overturning or collapsing accidents. A modified axis aligned bounding box method is proposed according to the movement patterns of mobile construction machineries, and the warning algorithm is developed based on the onsite safety management regulations. The algorithm is validated in a real case simulation when machinery enters the warning zone. The simulation results showed that the overall algorithm combining the location sensing technology and the modified bounding box method could detect risk and give warnings in a timely manner. This algorithm can be implemented for the safety monitoring of mobile construction machineries in daily onsite management.

The negative climate change induced by rapid urbanization has become a global environmental issue. Numerous studies have been devoted to microclimate regulation functions performed by urban vegetation. Digital city information modeling provides a powerful tool for various simulations and data analytics for the sustainable development of urban areas. However, the method reconstructing urban trees is still in its early stage compared to the relatively mature building modeling. Most prior studies on tree reconstruction focused on retrieving geometric features, while other factors related to urban microclimate simulation were rarely addressed. This paper presents a comprehensive literature review and in-depth analysis covering two distinct research directions in relation to urban microclimate simulation. The first one is set on the identification of key factors related to trees’ impact on urban microclimate. The second one is dedicated to approaches for three-dimensional (3D) tree reconstruction. Based on the findings, the paper identifies information including trees’ geometric, physiological characteristics and relation to the surroundings required for 3D tree reconstruction in the context of urban microclimate simulation, and further assesses the potential of the 3D tree reconstruction approaches to accommodate these pieces of information. An appropriate 3D tree reconstruction approach, which allows for the supply of the required information for urban microclimate simulation, is recommended.

Prefabricated construction has gained increasing popularity to meet the needs of rapid city development in recent years. Installation quality check is a critical task in prefabricated construction, and currently mostly still carried out manually, which is slow and ineffective. To provide an efficient and practical quality check method to replace the current manual method, this paper elaborates on an approach for checking prefabricated wall panels using laser scanning. The approach is validated in an actual case study. A common laser scanner BLK 360 is adopted to collect onsite 3D scenes after panel installation. The point clouds collected are co-roistered, classified, and segmented. Geometric parameters such as angles and distances allow for determining whether the installation meets the quality requirement. The outcome is compared with the quality check results using the conventional manual method. The results show that the panels, which need rectification, are correctly identified by the proposed approach. The major contribution of this study is determining the set of segmentation parameters to be adopted in similar quality check-up procedures. A practical and efficient quality check process is also proposed and can be readily implemented for certain prefabricated elements in many construction cases.