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Construction scholars and professionals have recognized the integration of Building Information Modelling (BIM), Integrated Project Delivery (IPD), and Lean Construction (LC) as an effective way to increase collaboration and deliver construction projects. However, construction organizations cannot identify the transitional management steps required to achieve BIM-IPD-LC (BIL) implementation maturity. This paper presents a roadmap, introducing a BIL Maturity Model (MM) through iterative rounds of semi-structured interviews, model validation through a survey, and model implementation. The research defined the maturity characteristics of construction organizations applying BIL across five levels, namely: ad hoc (individual), repeatable (project), defined (organization and project), quantitatively managed (full organization awareness), and optimizing (cross-organization integration) encompassing five major attributes including, 'Customer Focus', 'Culture & People', 'Workplace Standardization', 'Waste Minimization', and 'Continuous improvement' as well as 23 sub-attributes. The proposed integrated BIL MM will attract and assist industry practitioners and relevant stakeholders in identifying their position in BIL implementation maturity. The identified interdependencies between BIM, IPD, and LC will also serve as the basis for future academic studies respecting the collaboration of these three in an integrated manner. [ABSTRACT FROM AUTHOR]

Introduction: Dermatophytosis is one of the health problems that may spread from contaminated soil, pets, livestock, and infected humans. Although Tinea capitis is more prevalent in deprived areas, other forms of this disease were also reported in both urban and rural regions. In order to design appropriate strategies to control and treat diseases, the disease prevalence and its effective factors should be investigated. The aim of this study was to determine the prevalence rate of dermatophytosis and its etiologic agents in patients who referred to the mycology laboratory of Yazd Central Laboratory during 2013-2018. Methods: In this cross-sectional descriptive study, samples were collected from suspected dermatophytic lesions of patients who referred to the mycology section of Yazd Central Medical Laboratory during 2013- 2018. After completing the demographic information questionnaire, samples were collected from the lesions and examined by direct microscopic culture examination. Moreover, additional tests were performed to determine the genus and species of the etiologic agents. Results: From 900 patients, 112 cases (12.5%) were positive regarding both direct smear and culture. The highest rate of infection was observed in the age group less than 10 years. The most common clinical forms were tinea corporis, capitis, cruris, manuum, pedis, and ungium, respectively. The most commonly isolated etiologic agents were Trichophyton mentagrophytes, Microsporum canis, Trichophyton rubrum, and Trichophyton verrucosum. Conclusion: Due to the lack of information about the current status of this disease in Yazd, periodical studies are recommended on dermatophytosis, their sources, and etiologic agents in order to take effective measures to control and prevent the disease. [ABSTRACT FROM AUTHOR]

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Toward enhancing automation, this paper proposes an efficient approach for multi‐group motion planning, where the set of goals is divided into k groups and the objective is to compute a collision‐free and dynamically feasible trajectory that enables a virtual vehicle to reach at least one goal from each group. The approach works with ground and aerial vehicles operating in complex environments containing numerous obstacles. In addition to modeling the vehicle dynamics by differential equations, the approach can use physics‐based game engines, which provide an increased level of realism. The approach is based on a hybrid search that uses generalized traveling salesman tours over a probabilistic roadmap to effectively guide the sampling‐based expansion of a motion tree. As the motion tree is expanded with collision‐free and dynamically feasible trajectories, tours are adjusted based on a partition of the motion tree into equivalence classes. This gives the approach the flexibility to discover new tours that avoid collisions and are compatible with the vehicle dynamics. Comparisons to related work show significant improvements both in terms of runtime and solution length. Copyright © 2016 John Wiley & Sons, Ltd. Towards enhancing automation, this paper proposes an approach for multi‐group motion planning, where the objective is to compute a collision‐free and dynamically feasible trajectory that reaches at least one goal from each group. The approach is based on a hybrid search which uses generalized traveling salesman tours over a roadmap to guide the sampling‐based expansion of a motion tree. The approach works in conjunction with physics‐based game engines to provide an increased level of realism. [ABSTRACT FROM AUTHOR]