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This article aims to explore valuable insights into the construction progress monitoring (CPM) research domain, which include main research topics, knowledge gaps and future research themes. For a long time, CPM has been significantly researched with increasing enthusiasm. Although a few review studies have been carried out, there is non-existence of a quantitative review study that can deliver a holistic picture of CPM.

The science mapping-based scientometric analysis was systematically processed with 1,835 CPM-related journal articles retrieved from Scopus. The co-authorship analysis and direct citation analysis were carried out to identify the most influential researchers, countries and publishers of the knowledge domain. The co-occurrence analysis of keyword was assessed to reveal the most dominating research topics and research trend with the visual representation of the considered research domain.

This study reveals seven clusters of main research topics from the keyword co-occurrence analysis. The evolution of research confirms that CPM-related research studies were mainly focused on fundamental and traditional CPM research topics before 2007. The period between 2007 and 2020 has seen a shift of research efforts towards digitalization and automation. The result suggests Building Information Modelling (BIM) as the most common, growing and influential research topic in the CPM research domain. It has been used in combination with different data acquisition technologies (e.g. photogrammetry, videogrammetry, laser scanning, Internet of Things (IoT) sensors) and data analytics approaches (e.g. machine learning and computer vision).

This study provides the horizon of potential research in the research domain of CPM to researchers, policymakers and practitioners by availing of main research themes, current knowledge gaps and future research directions.

This paper represents the first scientometric study depicting the state-of-the-art of the research by assessing the current knowledge domain of CPM.

The purpose of this paper is to develop a stochastic detailed schedule for a preventive/scheduled/periodic maintenance program of a military aircraft, specifically a rotorcraft or helicopter.

The new model, entitled the military “periodic aviation maintenance stochastic schedule” (PAM-SS), develops a stochastic detailed schedule for a PUMA SA 330SM helicopter for the 50-h periodic inspection, using cyclic operation network (CYCLONE) and Monte Carlo simulation (MCS) techniques. The PAM-SS model identifies the different periodic inspection tasks of the maintenance schedule, allocates the resources required for each task, evaluates a stochastic duration of each inspection task, evaluates the probability of occurrence for each breakdown or repair, develops the CYCLONE model of the stochastic schedule and simulates the model using MCS.

The 50-h maintenance stochastic duration follows a normal probability distribution and has a mean value of 323 min and a standard deviation of 23.7 min. Also, the stochastic maintenance schedule lies between 299 and 306 min for a 99 per cent confidence level. Furthermore, except the pilot and the electrical team (approximately 90 per cent idle), all other teams are around 40 per cent idle. A sensitivity analysis is also performed and yielded that the PAM-SS model is not sensitive to the number of technicians in each team; however, it is highly sensitive to the probability of occurrence of the breakdowns/repairs.

The PAM-SS model is specifically developed for military rotorcrafts, to manage the different resources involved in the detailed planning and scheduling of the periodic/scheduled maintenance, mainly the 50-h inspection. It evaluates the resources utilization (idleness and queue), the stochastic maintenance duration and identifies backlogs and bottlenecks.

The PAM-SS tackles military aircraft planning and scheduling in a stochastic methodology, considering uncertainties in all inspection task durations and breakdown or repair durations. The PAM-SS, although developed for rotorcrafts can be further developed for any other type of military aircraft or any other scheduled maintenance program interval.

There is little information existing about the spread of lean among Jordanian construction companies. Building on a report by Diekmann et al. (2004), this paper aims to perform a similar investigation among first-grade Jordanian construction companies to assess the extent of implementation of lean techniques.

For this purpose, a quantitative approach to measuring contractors’ conformance to lean practices was adopted. A survey of 61 contractors was conducted using both e-mails and personally delivered surveys that were completed on the spot. The results were analysed, and a practice value index, which indicates the level of implementation, was figured out for lean practices. In addition, an analysis of variance was conducted to determine whether there were differences among respondents from different construction fields.

The survey indicated that some procedures used by Jordanian contractors were consistent with lean construction practices. However, there was no proof that lean concepts were used on a company-wide basis. Furthermore, the survey revealed that the Jordanian construction industry lacks a “continuous improvement“ mentality, suffers from the absence of error proofing devices and provides minimal training at several levels of the organisation.

The outcomes of the study are valuable for contractors and developers of management practices, as it will encourage them to adopt lean construction holistically and identify features that are not exploited in the Jordanian construction industry.

Project scheduling/rescheduling occurs in all stages of projects, from feasibility stage to monitoring stage to completion. Since the late 1950s, network‐based techniques CPM (critical path method) and PERT (programme evaluation review technique) are the techniques commonly used for project management. However, there are limitations in working with these tools that need to be overcome. Also, the computing ef. ciency of classic CPM/PERT analysis needs to be enhanced. Substantial research has been carried out globally in this field covering all areas of project scheduling: time scheduling, resource scheduling, cost scheduling, modern project management techniques, advanced mathematical models used for construction scheduling, and so on. To understand and document this research status, the authors have carried out an extensive study of various journals, published and unpublished research papers, and present this literature review.

The implementation and control processes of project planning and scheduling involve a wide range of methods and tools. Despite the development and modification and integration of the project management theory with newer scheduling approaches in particular, practitioners’ views on the efficiency and effectiveness of these methods and tools differ. This situation can be attributed in part to a lack of understanding of the most appropriate basis for implementing these methods and tools. This study, therefore, aims to overcome this deficiency by conceptualizing and adopting a taxonomy of planning and scheduling methods.

The study is based on a review and discourse analysis of the literature covering a large number of theoretical and empirical studies. The underlying theories of various planning and scheduling methods were analyzed with respect to the taxonomy criteria adopted in the study.

Using the taxonomy, the key characteristics of planning and scheduling methods considered in this study were identified and interpreted. These included concepts and theories; key features; suitability and usability; and benefits and limitations. Overall, the findings suggest that project managers should consider taxonomy as a support tool for selecting and prioritizing the most appropriate method or combination of methods for managing their projects. Recommendations include the need for more advanced or multi-dimensional taxonomies to cope with the diversity of project type and size.

The results of the study allow project managers to improve their current practices by utilizing taxonomy when considering the implementation of planning and scheduling methods. Moreover, taxonomy can be considered as a tool to promote learning on the part of those less experienced in planning and scheduling. Taxonomy can be considered as an initial platform for further research in this area.

Mushrooms have always been treasured and appreciated, thanks to their nutritional as well as medicinal properties. The purpose of this paper is to reveal these properties such as antioxidant activities and enzyme inhibition potentials of three mushroom species from Ordu, Turkey. Furthermore, phenolic profiles which are believed to be source of these properties are investigated.

The assays followed to determine total phenolic, flavonoid and antioxidant contents, antioxidative and enzyme inhibition activities are spectrophotometric methods. Phenolic profiles of mushroom samples were investigated by using the HPLC system.

The highest phenolic content was found for Lactarius deliciosus. Pyrogallol was the major phenolics in all three samples. Total phenolic content values supported that finding. But, total flavonoid content was the maximum for Cantharellus cibarius. The magnitude of the antioxidant activities revealed by the different tests varied between species. Furthermore, inhibition potential degrees on acetylcholinesterase, butrylcholinesterase, tyrosinase and urease activities were worth mentioning. Lactarius pyrogalus had anti-tyrosinase activity with a 26.229 percent inhibition rate. IC₅₀ values for urease inhibition effect of mushroom samples were in the range of 0.37–0.90 mg/mL.

Enzyme inhibitory potentials for L. pyrogalus was revealed first time. On the other hand, studies on anti-tyrosinase activity of mushrooms are very rare, while almost no studies have been conducted on anti-urease activity. So, the results of present study are very valuable. Thus, the obtained data not only increase the ecological importance of the region but also provide significant contributions to the literature in terms of new sources rich in antioxidants.

The purpose of this paper is to develop a model of analytic hierarchy process (AHP), a multiple criteria decision-making method, to assist selecting suitable machine configurations for special purpose machines (SPMs) from available alternatives.

The necessary criteria and sub-criteria were identified and used in the developed model. The assessment process was carried out by constructing the hierarchy of four levels. Then, pairwise comparison matrices were created for each level to compute the weights for the alternatives. The model was programmed and implemented by software for practical use.

Different scenarios were obtained from the assessment process of the developed AHP model showing the influence of changing the relevant importance of the elements in the hierarchy on the selection of SPMs configurations. Selection of the suitable scenario was also affected by some factors of manufacturing preferences and industry recommendations such as cost and production rate.

This is a new application of AHP method which assists decision makers to select suitable configurations for SPMs, and reduce the time required for designing SPMs.

The paper aims to explore the role of outcome‐based education, criteria‐referenced assessment, and work‐integrated education in the teaching of law to non‐law students. The difficulties inherent in the use of such techniques in this particular context have not yet been thoroughly articulated or theorized because it is not clear what we want of our students: to think like lawyers, to do like lawyers, to be like lawyers – or none of the above. The paper proposes some answers.

Discussion within the paper draws on theories articulated within the established literature relating to the issues under consideration.

The paper reveals several gaps that need to be addressed by proposed empirical and longitudinal research projects to answer specific research questions.

The paper contributes to the developing theory of teaching law to non‐law students.

This paper aimed to analyze removed particles from stationary specimen-aluminum (Al-99.92) produced by vibratory cavitation erosion tests in distilled water and glycerol-water mixtures.

The particle morphology which include particle surface topography, size distribution, particle size parameters and particle shape parameters were examined for distilled water and glycerol-water mixtures having different viscosities.

The results showed that the variation of size parameters with viscosity was very similar to the variation of weight loss with viscosity. Both the size parameters and weight losses show a monotonic decrease in going from distilled water to glycerol-water mixtures having viscosity about 10.1 cSt, beyond which the change is very small. On the other hand, the shape parameters were much less sensitive to distinguish between the particles produced in water and glycerol-water mixtures. The mechanism of cavitation erosion is investigated in detail through observations of the removed particles. The particle surfaces topography demonstrated that the mechanism in water and glycerol-water mixtures was fatigue failure.

Cavitation often occurs in almost all machines that handle liquids, especially at high speeds, leading to irreparable damage of the components of these machines. Elucidation of such complex phenomenon demands full characterization of the erosion mechanism and controlling parameters inherent to it, so that cavitation erosion can be prevented or at least be reduced through adequate information and collection of relevant data under different operating conditions. Very few studies have been made to approach the viscosity effect upon cavitation erosion from the particle analysis standpoint. The aim of the present work is to identify the effect of liquid viscosity on the size, shape characteristics of the erosion particles and their morphological features. The prevailed mechanisms of wear and particle generation have been proposed based on the acquired information from particle analysis.

The purpose of this paper is to determine if the US Treasury's at‐the‐market sales of 5.27 billion Citigroup shares in 2010 drove down the banks' share price. It attempts to use the evidence of Citigroup's stock returns to accept or reject competing hypotheses of larger stock sales.

The paper uses a geometric Brownian motion model to test if there were abnormal returns at various points in the US Treasury's highly publicized stock sale that lasted from 26 April to 6 December 2010.

There was a weakly significant drop in the stock price at the announcement of the sale and a weakly significant rise in the stock price just after it ended. This is evidence that the demand curve for the stock had a negative slope.

The evidence from this study will influence policy makers and investors in the upcoming privatizations of large bailed‐out firms such as American International Group, Ally Financial, Chrysler, and General Motors. The evidence indicates that slow at‐the‐market sales may temporarily depress stock prices more than quicker, underwritten secondary offerings. Patient investors may experience modest abnormal returns from providing liquidity to the US Treasury as it privatizes its holdings.

This is the only paper to study the stock price impacts of the US Treasury's liquidation of its 27 percent stake in Citigroup in 2010. Because the stock sales were delegated to a third party and highly publicized, unlike most other large stock sales, the Citigroup privatization is an unprecedented opportunity to test if the demand curve for common stocks is perfectly elastic.