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Jujube fruit (JF) (Ziziphus jujuba Mill.) is used as pharmaceuticals food, flavors and food additives. The purpose of this paper is to study the suitability of JF incorporation into a commercial sponge cake formulation, and to produce a nutritious bakery product with appropriate organoleptic and technological characteristics.

The optimal level of JF was incorporated into sponge cake using a custom mixture design with three independent variables, namely, refined wheat flour (RWF, 15–28 percent), sugar (7–22 percent) and JF (0–28 percent), as well as several responses, including physical properties, texture profile analysis (TPA), sensorial evaluation and color features. Moreover, physicochemical properties (TPA and oxidative indices) of optimal cake (two of the best JF levels) were compared with control sample (without JF) during 51 days storage period, while two baking temperatures (180°C and 170°C) were used.

The optimal amounts of RWF (21.19 percent), sugar (21.20 percent) and JF (7.61 percent) required for making the sample with maximum springiness, cohesiveness, specific volume, sensorial scores and yellowness, as well as the lowest firmness, baking loss and browning were determined. Desirable effects of JF on the cake quality well maintained throughout the storage period, as TPA attributes, peroxide value, ultraviolet absorbance and acid value showed less changes in JF-incorporated cake than the control sample.

Incorporating JF (~7 percent) into the batter was successful to improve the physicochemical properties in both fresh and stored cake with chocolate-like color.

The purpose of this paper is to test the capability of a new population‐based optimization algorithm for solving an NP‐hard problem, called “Multiple Knapsack Problem”, or MKP.

Here, the intelligent water drops (IWD) algorithm, which is a population‐based optimization algorithm, is modified to include a suitable local heuristic for the MKP. Then, the proposed algorithm is used to solve the MKP.

The proposed IWD algorithm for the MKP is tested by standard problems and the results demonstrate that the proposed IWD‐MKP algorithm is trustable and promising in finding the optimal or near‐optimal solutions. It is proved that the IWD algorithm has the property of the convergence in value.

This paper introduces the new optimization algorithm, IWD, to be used for the first time for the MKP and shows that the IWD is applicable for this NP‐hard problem. This research paves the way to modify the IWD for other optimization problems. Moreover, it opens the way to get possibly better results by modifying the proposed IWD‐MKP algorithm.

User requests over the cloud are not achievable with one single service, multiple services need to be executed to fulfill what a user asks for. Typically, such services are composed and presented as one global service. Moreover, the same operation can be achieved by multiple services available at different clouds, which can result in different possibilities in composing them. This paper aims to decrease the number of clouds involved in the composition process, so that user requests are satisfied with minimal cost (communication costs, execution time and financial charges).

This paper investigates the use of an intelligent water drops (IWDs) optimization-based algorithm, and an integer linear programming model to optimize the number of cloud bases involved in the composition process. A comparison of the solutions found by these two techniques is presented in the paper.

The obtained results show that the number of cloud bases can be decreased without affecting user satisfaction.

The paper is a first attempt to use the IWDs algorithm for service composition, tested with big-size data.

The business benefits envisaged for BIM represent the main criteria for decision-making about BIM implementation – or shy away from BIM. Despite the significance, traditional evaluation techniques have difficulty to capture “the true value” of BIM from multiple levels and dimensions – as an effective evaluation method is supposed to. This study aims to identify the significant factors that affect BIM return on investment (ROI), develop an integrated model for companies and examine the influence of intangible returning factors of BIM on the rate of BIM implementation.

A cluster sampling technique was used; 92 questionnaires completed by Australian architecture, engineering and construction small- and medium-sized enterprises (SMEs) provided the basis to identify and analyse the key measurable returning factors, value drivers and strategic benefits associated with BIM ROI.

Applying the PLS-SEM technique, findings reveal that a lack of reliable quantification methods for the ROI factors associated with BIM significantly affects the organisation's commitments to implement BIM. In essence, the failure to adequately identify and assess these benefits could result in the system not being appropriately implemented and supported by executive sponsors, who give priority to hard and tangible ROI measurements.

The outcome of this study would be of direct appeal to policymakers, industry professionals and the academic community alike, in providing data-informed insight into the intersection between the implementation of BIM and the concept of ROI. Findings would provide a springboard for further research into using ROI factors to increase BIM implementation. Though the findings are directly applicable and contextualised for Australia, they provide lessons and offer a blueprint for similar studies in other countries and settings. That is, regardless of the context, findings raise awareness and provide a point of reference for the quantification of intangible returning factors rather than the tangible returning factors, as one of the first studies in its kind.

The study provides original insight in drawing attention to an untapped area for research in BIM implementation, namely BIM ROI. Apart from raising awareness around BIM ROI, the study is novel in providing a quantified model that establishes the links and level of impacts of various factors associated with BIM ROI. Findings of this study, particularly add value to the body of knowledge related to the business implications associated with BIM implementation in the context of Australian SMEs, while providing lessons for other countries and settings.

Remotely piloted aircraft (RPA) systems have emerged as an established tool within the construction industry. Concurrent with this trend has been the rise in research on RPA, establishing this as a new field of study within the construction management domain. What is needed now is an assessment of the current state of research in this emerging discipline – its strengths and weaknesses – by which future research on RPA in construction may be guided. The purpose of this paper is to address this need.

A total of 59 peer-reviewed journal articles covering RPAs within the construction domain were systematically reviewed using a mixed-methods approach, utilizing qualitative-scientometric analyses techniques.

The results reveal a field of study in its fledgling stage, with a limited number of experts operating somewhat in isolation, from a limited number of institutions. Key publication outlets are identified, with the main focus of research being in the technical areas of remote sensing, photogrammetry and image processing.

The study benefits researchers and industry practitioners alike. For researchers, the identified gaps reveal areas of high priority in future research. For construction companies, particularly small to medium-sized businesses, the study raises awareness of the latest developments and potential applicability of RPAs in the industry.

The study exposes what is missing from current research: a broader consideration of organizational adjustments needed to accommodate RPA usage, economic analyses and impediments to wider acceptance.

Project portfolio management (PPM) is a commonly used technique to align projects with strategy and to ensure adequate resourcing for projects. In this paper, to gain a better understanding of PPM dynamics, a system dynamics (SD) model was developed. To do so, an Iranian independent power producer was used as a case study in the energy sector; moreover, policy options were derived and generalized for such a developer company.

To cope with the complexity of business processes in a power producer company and to formulate an optimum policy, causal relations and loops were derived first and then state-flow diagrams were designed to simulate the problem in the system, as it is usual in the SD methodology.

The proposed model was applied to a real-world case study to rectify managers’ viewpoint about their business dynamics and to formulate new project portfolio strategies to improve the viability of the company. The model proved how a static portfolio analysis can misguide managers in planning their project portfolio strategies, and how effective feedback can improve PPM in developing companies in the energy sector.

Systems approach, especially SD methodology, has been rarely used to analyze PPM problems in the energy sector. This study highlights the implications of feedback and dynamics in PPM and tries to derive optimal value of portfolios.

Extant literature extensively articulates the advantages of using remotely piloted aircrafts (RPAs) in a myriad of construction activities. Yet, the barriers that hinder their wider adoption on construction projects have received scant academic attention. This study aims at addressing this gap in the literature.

This study reviews 59 papers published on the use of RPAs for construction activities and offers an evaluation of barriers to widespread adoption throughout the sector.

Barriers are identified, collated and categorized into five thematic groups, namely, technical difficulties, restrictive regulatory environment, site-related problems, weather and organizational barriers.

The paper contributes to knowledge by: signposting a need for reordering priorities when defining future research on RPAs, suggesting measures to address the barriers identified and providing pragmatic guidance for construction companies intending to use RPAs on their projects.

Using the task–technology fit theory, the study uncovers that current RPA technology is an under-fit match for construction activities and represents a prominent barrier to adoption. This is a dissenting finding, given that past studies on RPAs have primarily focused upon addressing public acceptance, concerns and societal consequences. Enablers of the identified barriers are also collated from extant literature and contemporary practice and encapsulated in a conceptual model.

Although the use of diverse types of bricks as the primary construction materials has been considered for many years, vernacular earthen materials are also widely used for construction with low potential environmental impacts in developing countries. In this study, the life cycle of two types of building materials for wall building is investigated.

For this purpose, life cycle carbon emissions (LCCO₂) are compared and embodied energy calculation for rammed earth and fired clay bricks as two construction materials. The complete construction chain using rammed earth, as a modern norm, and fired clay bricks, as the most common construction materials in buildings, is investigated in this research.

Studies on the constructions in Kashan city in the north of Isfahan province, Iran, as a case study, showed that replacing the fired bricks with rammed earth would reduce the CO₂ emissions up to 1,245 kg/ton and 4,646 MJ/ton (i.e. more than 95%) of the embodied energy. It also shows that the choice of building materials should be important for building practitioners to consider the environmental impact.

This paper provide life cycle assessment of building materials. The findings of this study help builders and owner to choose sustainable building materials.

The purpose of this study is to examine, review and analyse the current literature on building and construction quality and determine the related themes and gaps.

A systematic review approach was adopted on the building quality literature, and keywords such as “construction” or “building”; “defect” and “quality” or “rework” were searched through the Scopus, Web of Science and Google Scholar databases. A number of articles were found and filtered by title, abstract and keyword relevancy. Further articles were cross-referenced from these and again filtered by title, abstract and keyword relevancy. The time period for the search was 2000–2020. A total of 97 articles were found and analysed on the topic.

A number of recurring themes were found throughout the literature. They are safety, occupier satisfaction, cost, time, licensing, culture, training, software and building quality frameworks, classifications and recommendations. These themes were linked to display relationships between them from the literature. Based on the project lifecycle stages, an amalgamated classification system was developed and is presented here. The gaps in the current literature have been analysed and reported on.

A comprehensive descriptive, thematic and gap analysis was conducted on the available literature of building and construction quality. The emerging themes were discovered, their relationships were demonstrated and the research gaps were identified. A new classification system positioned in the project lifecycle stages is presented.

Problem alcohol use (PAU) is common and associated with considerable adverse outcomes among patients receiving opioid agonist treatment (OAT). The purpose of this paper is to describe a qualitative feasibility assessment of a primary care-based complex intervention to promote screening and brief intervention for PAU, which also aims to examine acceptability and potential effectiveness.

Semi-structured interviews were conducted with 14 patients and eight general practitioners (GPs) who had been purposively sampled from practices that had participated in the feasibility study. The interviews were transcribed verbatim and analysed thematically.

Six key themes were identified. While all GPs found the intervention informative and feasible, most considered it challenging to incorporate into practice. Barriers included time constraints, and overlooking and underestimating PAU among this cohort of patients. However, the intervention was considered potentially deliverable and acceptable in practice. Patients reported that (in the absence of the intervention) their use of alcohol was rarely discussed with their GP, and were reticent to initiate conversations on their alcohol use for fear of having their methadone dose reduced.

Although a complex intervention to enhance alcohol screening and brief intervention among primary care patients attending for OAT is likely to be feasible and acceptable, time constraints and patients’ reticence to discuss alcohol as well as GPs underestimating patients’ alcohol problems is a barrier to consistent, regular and accurate screening by GPs. Future research by way of a definitive efficacy trial informed by the findings of this study and the Psychosocial INTerventions for Alcohol quantitative data is a priority.

To the best of the knowledge, this is the first qualitative study to examine the capability of primary care to address PAU among patients receiving OAT.