13 research outputs found
A systematic taxonomic review of the application of BIM and digital twins technologies in the construction industry
Get PDFPurposeThis study provides a comprehensive analysis of the transition from Building Information Modelling (BIM) to digital twins (DT) in the construction industry. Specifically, the research explores the current state (themes and trends) and future directions of this emerging research domain.Design/methodology/approachA multi-stage approach was employed that combines scientometric and systematic review approaches. The scientometric analysis involves quantitative assessment of scientific publications retrieved from the Web of Science database – using software tools like VOSviewer and HistCite. The systematic review involved a rigorous synthesis and evaluation of the existing literature to identify research gaps, themes, clusters and future directions. Clusters obtained from the scientometric analysis of the co-occurrence network were then used as a subject base for a systematic study.FindingsEmergent findings reveal a rapidly growing interest in BIM-DT integration, with over 90% of publications since 2020. The United Kingdom, China and Italy are the leading contributing countries. Five prominent research clusters identified are: (1) Construction 4.0 technologies; (2) smart cities and urban environments; (3) heritage BIM and laser scanning; (4) asset and facility management; and (5) energy and sustainability. The study highlights the potential of BIM-DT integration for enhancing project delivery, asset management and sustainability practices in the built environment. Moreover, the project’s life cycle operation phase has garnered the most attention from researchers in this field compared to other phases.Originality/valueThis unique study is comprehensive in its approach by combining scientometric and systematic methods to provide a quantitative and qualitative evaluation of the BIM-DT research landscape. Unlike previous reviews that focused solely on facility management, this study’s scope covers the entire construction sector. By identifying research gaps, challenges and future directions, this study establishes a solid foundation for researchers exploring this emerging field and envisions the future landscape of BIM-DT integration in the built environment
MIP-based extraction techniques for the determination of antibiotic residues in edible meat samples : Design, performance & recent developments
Get PDFMisusing or overusing antibiotics in livestock and poultry can result in the accumulation of mentioned drugs in the animal meat. Consequently, its consumption by humans and therefore increasing the risks of antibiotic resistance emergences. In order to decrease these risks, constant monitoring of the meat samples is necessary. Therefore, the concentration of antibiotics needs to be lower than maximum residue limits. As meat is a complex matrix, sample preparation is a mandatory step in the analysis. Molecularly imprinted polymers are one of the extensively studied tools in this aspect. These polymers exhibited great affinity and selectivity towards the target compound/s. In this work, a collection of studies from 2017 to 2021 is reviewed. Inclusion criteria were formed around papers incorporating molecularly imprinted polymers as a means of extraction or detection of antibiotics in meat samples. This review represents different synthesis methods of these polymers and their applications in the extraction and determination of antibiotics from meat samples. It also demonstrates the advantages, gaps and weakness of these systems in the food chemistry field. It can also act as a guide for the design and development of novel polymer-based analytical methods for food applications. Throughout this review, the methods for determination of antibiotic residues in food samples using conventional and novel MIP based techniques are discussed, by coupling MIPs with other analytical techniques, Limit of detection and quantification and recovery rates will improve significantly, which results in designing of platforms in food chemistry analysis with higher efficacy.Peer reviewe
Global, regional, and national burden of hepatitis B, 1990-2019: a systematic analysis for the Global Burden of Disease Study 2019
Get PDFThe global burden of adolescent and young adult cancer in 2019 : a systematic analysis for the Global Burden of Disease Study 2019
Get PDFBackground In estimating the global burden of cancer, adolescents and young adults with cancer are often overlooked, despite being a distinct subgroup with unique epidemiology, clinical care needs, and societal impact. Comprehensive estimates of the global cancer burden in adolescents and young adults (aged 15-39 years) are lacking. To address this gap, we analysed results from the Global Burden of Diseases, Injuries, and Risk Factors Study (GBD) 2019, with a focus on the outcome of disability-adjusted life-years (DALYs), to inform global cancer control measures in adolescents and young adults. Methods Using the GBD 2019 methodology, international mortality data were collected from vital registration systems, verbal autopsies, and population-based cancer registry inputs modelled with mortality-to-incidence ratios (MIRs). Incidence was computed with mortality estimates and corresponding MIRs. Prevalence estimates were calculated using modelled survival and multiplied by disability weights to obtain years lived with disability (YLDs). Years of life lost (YLLs) were calculated as age-specific cancer deaths multiplied by the standard life expectancy at the age of death. The main outcome was DALYs (the sum of YLLs and YLDs). Estimates were presented globally and by Socio-demographic Index (SDI) quintiles (countries ranked and divided into five equal SDI groups), and all estimates were presented with corresponding 95% uncertainty intervals (UIs). For this analysis, we used the age range of 15-39 years to define adolescents and young adults. Findings There were 1.19 million (95% UI 1.11-1.28) incident cancer cases and 396 000 (370 000-425 000) deaths due to cancer among people aged 15-39 years worldwide in 2019. The highest age-standardised incidence rates occurred in high SDI (59.6 [54.5-65.7] per 100 000 person-years) and high-middle SDI countries (53.2 [48.8-57.9] per 100 000 person-years), while the highest age-standardised mortality rates were in low-middle SDI (14.2 [12.9-15.6] per 100 000 person-years) and middle SDI (13.6 [12.6-14.8] per 100 000 person-years) countries. In 2019, adolescent and young adult cancers contributed 23.5 million (21.9-25.2) DALYs to the global burden of disease, of which 2.7% (1.9-3.6) came from YLDs and 97.3% (96.4-98.1) from YLLs. Cancer was the fourth leading cause of death and tenth leading cause of DALYs in adolescents and young adults globally. Interpretation Adolescent and young adult cancers contributed substantially to the overall adolescent and young adult disease burden globally in 2019. These results provide new insights into the distribution and magnitude of the adolescent and young adult cancer burden around the world. With notable differences observed across SDI settings, these estimates can inform global and country-level cancer control efforts. Copyright (C) 2021 The Author(s). Published by Elsevier Ltd.Peer reviewe
A Scientometric Analysis of Construction Bidding Research Activities
No full textBidding is the process in which a contractor submits a tender to the owner of a construction project to undertake its execution. This enables companies to properly employ required contractors. This paper investigates the trends of research conducted on construction bidding from 1975 to 2022 through a scientometric analysis from different viewpoints. A total of 299 relevant articles published in 191 journals were collected from the Web of Science database and analyzed by HistCite and CiteSpace software. The top journals, articles, institutes, and authors that contributed to bidding studies were ranked. The trends of published articles and contributions from different countries on the subject were examined. Moreover, the co-occurrence network, strongest burst detection, trends of the top keywords, and cluster analysis were determined. This review creates an in-depth insight into the content, enabling researchers to understand the existing body of knowledge and to trace a practical guideline for future studies
Maturity impact on physicochemical composition and polyphenol properties of extra virgin olive oils obtained from Manzanilla, Arbequina, and Koroneiki varieties in Iran
No full textAbstract This study investigated the physicochemical properties and polyphenol composition of extra virgin olive oils (EVOOs) extracted from three olive cultivars. The investigated cultivars were Arbequina, Koroneiki, and Manzanilla, grown in Olive Research Station in Rudbar county, Gilan province, Iran, at three ripening stages. Several parameters were analyzed, including peroxide and acidity values, unsaponifiable matter, oxidative stability, total aliphatic alcohols, fatty acids (FAs), sterols, and triacylglycerol composition. The results showed that as maturity increased, parameters such as oil content, acidity value, and iodine value, rise, while parameters including peroxide value, oxidative stability, aliphatic alcohols, and unsaponifiable matter decreased (p .05). The MUFA/PUFA ratio and total sterol content declined during the olive ripening stages (p < .05). The triterpenes decreased in Arbequina and Koroneiki cultivars but increased in Manzanilla cultivar during the maturity stages. According to the data, oleuropein decreased while oleuropein aglycone, oxidized aldehyde, and hydroxylic form of oleuropein increased for all EVOOs during maturation. Apigenin, quercetin, ligstroside aglycone, aldehyde and hydroxylic form, ferulic acid, caffeic acid, and catechin decreased during the ripening of fruits (p < .05). The main triglycerides were triolein (OOO), palmitodiolein (POO), dioleolinolein (OOL), and palmitooleolinolein (PLO) in all EVOOs. In addition, the olive cultivar and harvesting date influence the physicochemical properties and polyphenol composition of EVOOs extracted from olive varieties grown in one region. In conclusion, the results can present helpful information to determine the optimum maturity stage for the investigated olive cultivars
Are there latent effects in shopping destination choice?: Survey methods and response behavior
No full textApplying Building Information Modelling (BIM) Technology in Pre-Tender Cost Estimation of Construction Projects: A Case Study in Iran
No full textThe pre-tender cost estimation serves as the foundation for determining the project cost in the early stages and is crucial for all parties involved in the tendering process. It is expected to be highly accurate. However, industry surveys have advocated that in the Iranian construction industry, the pre-tender estimated costs of construction projects are not sufficiently accurate during the bidding stage. Building information modelling (BIM) technology is a modern digital tool deployed in the construction industry that has seen substantial growth of application. It employs useful tools in different sectors and has extended its involvement in various stages of the project lifecycle, including feasibility studies, planning, design, construction, and operation and maintenance. This study examines and assesses the status of BIM development in Iran for its applicability in the pre-tender cost estimating process in construction projects. The findings of this study indicate that while there is a limited number of Iranian building projects’ BIM models that possess the required quality and capabilities for BIM-based cost estimation, the results obtained are more precise when compared to existing manual methods. Additionally, utilising BIM-based cost estimation significantly reduces the time required for this process by enhancing the speed of cost estimation operations. An innovative evaluation framework for assessing the quality and functionalities of BIM models is presented, which improves the accuracy of cost estimation before the bidding process in Iran’s construction industry. The research findings demonstrate the enhanced accuracy and effectiveness of BIM as compared to conventional approaches. It also suggests the incorporation of AI technology for model evaluation, which has the potential to become an established global industry standard
Perceived barriers to implementing building information modeling in Iranian Small and Medium-Sized Enterprises (SMEs): a Delphi survey of construction experts
No full textBuilding information modeling (BIM) is a disruptive information technology tool in the construction sector. Although this technology had a significant impact on the manufacturing industries, it, like any other technology, encountered several challenges when applied to the construction sector. Conversely, small and medium-sized enterprises (SMEs) in developing economies often face significant impediments when using innovative technologies. Thus, this paper seeks to determine and investigate the perceived barriers to applying BIM in construction SMEs based in Iran. Three rounds of Delphi surveys were carried out with 15 BIM experts engaged in construction SMEs to identify the key barriers to BIM implementation in SMEs. An empirical survey questionnaire comprising these identified barriers was subsequently designed and disseminated to the invited experts. Altogether, 56 valid survey responses were received and analyzed. The study’s findings revealed SMEs management’s hesitancy to adopt BIM, stakeholders’ reluctance to change their established methods, and a lack of technical understanding as the critical impediments to BIM adoption in construction SMEs. Also, the study identified four barrier dimensions – technology, legal, management, and financial. These BIM implementation barrier dimensions can be employed to better allocate resources and financing for BIM deployment and construction innovation in SMEs. The study will assist major project stakeholders and SMEs make better-informed BIM adoption decisions, particularly in developing nations like Iran
Perceived barriers to implementing building information modeling in Iranian Small and Medium-Sized Enterprises (SMEs): a Delphi survey of construction experts
No full textBuilding information modeling (BIM) is a disruptive information technology tool in the construction sector. Although this technology had a significant impact on the manufacturing industries, it, like any other technology, encountered several challenges when applied to the construction sector. Conversely, small and medium-sized enterprises (SMEs) in developing economies often face significant impediments when using innovative technologies. Thus, this paper seeks to determine and investigate the perceived barriers to applying BIM in construction SMEs based in Iran. Three rounds of Delphi surveys were carried out with 15 BIM experts engaged in construction SMEs to identify the key barriers to BIM implementation in SMEs. An empirical survey questionnaire comprising these identified barriers was subsequently designed and disseminated to the invited experts. Altogether, 56 valid survey responses were received and analyzed. The study’s findings revealed SMEs management’s hesitancy to adopt BIM, stakeholders’ reluctance to change their established methods, and a lack of technical understanding as the critical impediments to BIM adoption in construction SMEs. Also, the study identified four barrier dimensions–technology, legal, management, and financial. These BIM implementation barrier dimensions can be employed to better allocate resources and financing for BIM deployment and construction innovation in SMEs. The study will assist major project stakeholders and SMEs make better-informed BIM adoption decisions, particularly in developing nations like Iran
