scholarly journals BIM and Mechanical Engineering—A Cross-Disciplinary Analysis

2021 ◽  
Vol 13 (8) ◽  
pp. 4108
Author(s):  
Luka Adanič ◽  
Sara Guerra de Oliveira ◽  
Andrej Tibaut
Keyword(s):  
Mechanical Engineering ◽  
Mutual Influence ◽  
Research Field ◽  
Extensive Literature ◽  
Seamless Integration ◽  
Building Product ◽  
Research Fields ◽  
Building Information ◽  
Manufacturing Assembly ◽  
The Impact

Mechanical Engineering (ME) includes the design, manufacturing, assembly, and maintenance of mechanical subsystems for Architecture, Engineering, Construction, and Owner-Operator (AECO) projects. The intense adoption of information and communication technology in the AECO started with building product modelling, which was originally pioneered in the ME domain (i.e., automotive industry). The complexity and limited openness of product models paved the way for Building Information Modelling (BIM). Today, BIM workflows require an exchange of interoperable architecture, structure, and MEP/HVAC models and their seamless integration into a shared BIM model. Many specialized ME systems exist (i.e., medical gases and vacuum) for which BIM is not mature enough and where the role of BIM has not yet been studied. Therefore, a comprehensive cross-disciplinary analysis on the mutual influence of the BIM and the ME domain is needed for researchers and professionals. It identifies research fields and trends at the intersection of BIM and ME and analyzes their scope, limitations, and requirements for future extensions of BIM for better integration with ME. The analysis is based on an extensive literature search considering the interdisciplinary nature of ME. The initial collection of papers has undergone a rigorous bibliometric analysis that used a text mining approach for validation. Results show the field “Industry 4.0” as the most prosperous BIM influencing research field, followed by “Energy optimisation” and “Environmental Product Declaration”, while identifying “Geometric optimisation” and “Reinforced material” as the trendiest. Finally, conclusions on the impact of BIM on ME were drawn and 11 research opportunities were identified. This paper provides directions for studies where research is focused on the integration of ME systems in BIM workflows and on the extension of BIM capability to model future ME systems.

Scientific Web Intelligence

2011 ◽  
pp. 995-999
Author(s):  
Mike Thelwall
Keyword(s):  
Data Mining ◽  
End Users ◽  
Research Field ◽  
Data Sources ◽  
Web Pages ◽  
Web Intelligence ◽  
Research Fields ◽  
Patterns Of Communication ◽  
The Impact ◽  
Citation Databases

Scientific Web Intelligence (SWI) is a research field that combines techniques from data mining, Web intelligence, and scientometrics to extract useful information from the links and text of academic-related Web pages using various clustering, visualization, and counting techniques. Its origins lie in previous scientometric research into mining off-line academic data sources such as journal citation databases. Typical scientometric objectives are either evaluative (assessing the impact of research) or relational (identifying patterns of communication within and among research fields). From scientometrics, SWI also inherits a need to validate its methods and results so that the methods can be justified to end users, and the causes of the results can be found and explained.

scholarly journals Modelling the Impact of Building Information Modelling (BIM) Implementation Drivers and Awareness on Project Lifecycle

2021 ◽  
Vol 13 (16) ◽  
pp. 8887
Author(s):  
Oludolapo Ibrahim Olanrewaju ◽  
Ahmed Farouk Kineber ◽  
Nicholas Chileshe ◽  
David John Edwards
Keyword(s):  
Structural Equation ◽  
Success Factors ◽  
Extensive Literature ◽  
Building Information Modelling ◽  
Information Modelling ◽  
Performance Improvements ◽  
Critical Success ◽  
Building Information ◽  
The Impact ◽  
Project Lifecycle

The Architecture, Engineering, Construction and Operations (AECO) industry is generally slow in adopting emerging technologies, and such hesitance invariably restricts performance improvements. A plethora of studies have focused on the barriers, Critical Success Factors (CSFs), lifecycle and drivers independently, but none have explored the impact of BIM drivers and awareness on the project lifecycle. This study empirically explored the impact of BIM drivers and awareness on the project lifecycle using Structural Equation Modelling (SEM). Initially, a conceptual model was developed from an extensive literature review. Thereafter, the model was tested using primary questionnaire data obtained from 90 construction professionals in Lagos, Nigeria. Emergent findings indicate that Building Information Modelling (BIM) drivers have a high impact on BIM awareness at the operation stage of the project lifecycle. The SEM model has an average R2 value of 23% which is moderate. Consequently, this research contributes to the existing body of knowledge by providing invaluable insight into the impact of BIM drivers on BIM awareness in the project lifecycle. Knowledge acquired will help industry stakeholders and government to develop appropriate policies to increase BIM uptake within contemporary practice.

Scientific Web Intelligence

2011 ◽  
pp. 1714-1719
Author(s):  
Mike Thelwall
Keyword(s):  
Data Mining ◽  
Research Field ◽  
Data Sources ◽  
Web Pages ◽  
Web Intelligence ◽  
Research Fields ◽  
Web Science ◽  
Patterns Of Communication ◽  
The Impact ◽  
Citation Databases

Scientific Web Intelligence (SWI) is a research field that combines techniques from data mining, web intelligence and scientometrics to extract useful information from the links and text of academic-related web pages, using various clustering, visualization and counting techniques. Its origins lie in previous scientometric research into mining offline academic data sources such as journal citation databases, in contrast to Web Science, which focuses on engineering an effective Web (Berners-Lee et al., 2006). Typical scientometric objectives are either evaluative: assessing the impact of research; or relational: identifying patterns of communication within and between research fields. From scientometrics, SWI also inherits a need to validate its methods and results so that the methods can be justified to end-users and the causes of the results can be found and explained.

scholarly journals COMP-02. MINING-GUIDED MACHINE LEARNING ANALYSES SUPPORTS GRASPING THE LATEST TRENDS ON NEURO-ONCOLOGY

2019 ◽  
Vol 21 (Supplement_6) ◽  
pp. vi61-vi61
Author(s):  
Taijun Hana ◽  
Shota Tanaka ◽  
Takahide Nejo ◽  
Yosuke Kitagawa ◽  
Satoshi Takahashi ◽  
...  
Keyword(s):  
Machine Learning ◽  
Linear Prediction ◽  
Research Field ◽  
Future Trends ◽  
Research Fields ◽  
The Future ◽  
Versatile Tool ◽  
Recent Trends ◽  
Novel Concept ◽  
The Impact

Abstract The systems that can objectively predict the future trends of a particular research field are always anticipated while conducting medical research. Such systems also provide a considerable aid to researchers while determining and acquiring appropriate research budgets. This study intended to establish a novel and versatile algorithm that can predict the latest trends in neuro-oncology. Seventy-nine neuro-oncological research fields were selected using computational sorting methods, such as text-mining analyses, along with 30 journals that represent the recent trends in the neuro-oncology field. Further, the annual impact (AI) for each year with respect to each journal and field (number of articles published in the journal × the impact factor of the journal) was calculated as a novel concept. Subsequently, the AI index (AII) for the year was defined as the sum of the AIs for the aforementioned 30 journals. With respect to the aforementioned neuro-oncological research fields, the AII trends from 2008 to 2017 were subjected to machine learning predicting analyses. The prediction accuracy of the latest trends in neuro-oncology was validated using actual data obtained from previous studies. In particular, the linear prediction model achieved a relatively good accuracy. The most notable and latest predicted fields in neuro-oncology included some interesting emerging fields, such as microenvironment and anti-mitosis, as well as the already renowned fields, such as immunology and epigenetics. Furthermore, we retrospectively attempted an analysis of the fields different from neuro-oncology. Interestingly, as of 2008, the future emergence of the CRISPR-Cas9 gene editing system has been predicted using this system. Overall, the presented algorithm displays potential to be an effective and versatile tool for the prediction of future trends in a particular medical field.

scholarly journals Fixation classification: how to merge and select fixation candidates

2022 ◽  
Author(s):  
Ignace T. C. Hooge ◽  
Diederick C. Niehorster ◽  
Marcus Nyström ◽  
Richard Andersson ◽  
Roy S. Hessels
Keyword(s):  
Eye Tracking ◽  
Marketing Research ◽  
Classification Algorithms ◽  
Extensive Literature ◽  
Tracking Data ◽  
Selection Rules ◽  
The Gaze ◽  
Research Fields ◽  
Fixation Durations ◽  
The Impact

AbstractEye trackers are applied in many research fields (e.g., cognitive science, medicine, marketing research). To give meaning to the eye-tracking data, researchers have a broad choice of classification methods to extract various behaviors (e.g., saccade, blink, fixation) from the gaze signal. There is extensive literature about the different classification algorithms. Surprisingly, not much is known about the effect of fixation and saccade selection rules that are usually (implicitly) applied. We want to answer the following question: What is the impact of the selection-rule parameters (minimal saccade amplitude and minimal fixation duration) on the distribution of fixation durations? To answer this question, we used eye-tracking data with high and low quality and seven different classification algorithms. We conclude that selection rules play an important role in merging and selecting fixation candidates. For eye-tracking data with good-to-moderate precision (RMSD < 0.5∘), the classification algorithm of choice does not matter too much as long as it is sensitive enough and is followed by a rule that selects saccades with amplitudes larger than 1.0∘ and a rule that selects fixations with duration longer than 60 ms. Because of the importance of selection, researchers should always report whether they performed selection and the values of their parameters.

A REVIEW ON THE BENEFITS OF HORTICULTURAL THERAPY FOR RETIREMENT COMMUNITY IN MALAYSIA

2017 ◽  
Vol 2 (1) ◽  
pp. 1
Author(s):  
Amirul Amin Ismail ◽  
Ismail Samsuddin ◽  
Azman Zainonabidin ◽  
Harlina Mohd Ali
Keyword(s):  
Well Being ◽  
The Elderly ◽  
Retirement Community ◽  
Analysis Method ◽  
Horticultural Therapy ◽  
Seamless Integration ◽  
Ageing Society ◽  
After Effects ◽  
Malaysian Population ◽  
The Impact

By the year 2030, Malaysian population will experience the after effects of the rapid growth of ageing society. This paper investigates the impact of seamless integration of horticultural activity in the new residential typology of retirement community. It is believed that horticultural therapy is not only beneficial for physical and psychological but also promotes socialisation opportunities among the elderly. Comparative analysis method on selected precedent studies has been carried out and analysed in accordance with Malaysian context. Initial findings indicate that a retirement community with horticultural activity gives therapy for healthier well-being. This therapeutic activity can be apositive change in elderly lifestyle and essential towards the establishment of retirement community in Malaysia. 

Transport infrastructure of the Rostov Oblast: Problems and prospects for development in the context of national projects implementation

2020 ◽  
Vol 19 (6) ◽  
pp. 1015-1034
Author(s):  
O.Yu. Patrakeeva
Keyword(s):  
Time Series Data ◽  
Mutual Influence ◽  
Rostov Oblast ◽  
Transport Infrastructure ◽  
Series Data ◽  
Cointegration Tests ◽  
Level Of Economic Development ◽  
Short Run ◽  
The Government ◽  
The Impact

Subject. The paper considers national projects in the field of transport infrastructure, i.e. Safe and High-quality Roads and Comprehensive Plan for Modernization and Expansion of Trunk Infrastructure, and the specifics of their implementation in the Rostov Oblast. Objectives. The aim is to conduct a statistical assessment of the impact of transport infrastructure on the region’s economic performance and define prospects for and risks of the implementation of national infrastructure projects in conditions of a shrinking economy. Methods. I use available statistics and apply methods and approaches with time-series data, namely stationarity and cointegration tests, vector autoregression models. Results. The level of economic development has an impact on transport infrastructure in the short run. However, the mutual influence has not been statistically confirmed. The paper revealed that investments in the sphere of transport reduce risk of accidents on the roads of the Rostov Oblast. Improving the quality of roads with high traffic flow by reducing investments in the maintenance of subsidiary roads enables to decrease accident rate on the whole. Conclusions. In conditions of economy shrinking caused by the complex epidemiological situation and measures aimed at minimizing the spread of coronavirus, it is crucial to create a solid foundation for further economic recovery. At the government level, it is decided to continue implementing national projects as significant tools for recovery growth.

Exploring the Benefits of Early Contractor Involvement (ECI) and the Mechanism for Automated 5D BIM Quantification Process in Offsite Modular Construction

2016 ◽  
Author(s):  
Tochukwu Moses ◽  
David Heesom ◽  
David Oloke ◽  
Martin Crouch
Keyword(s):  
Effective Means ◽  
Cost Effective ◽  
Modular Construction ◽  
Automated Quantification ◽  
Building Information ◽  
Project Risks ◽  
Value Add ◽  
The Uk ◽  
The Impact ◽  
Level 2

The UK Construction Industry through its Government Construction Strategy has recently been mandated to implement Level 2 Building Information Modelling (BIM) on public sector projects. This move, along with other initiatives is key to driving a requirement for 25% cost reduction (establishing the most cost-effective means) on. Other key deliverables within the strategy include reduction in overall project time, early contractor involvement, improved sustainability and enhanced product quality. Collaboration and integrated project delivery is central to the level 2 implementation strategy yet the key protocols or standards relative to cost within BIM processes is not well defined. As offsite construction becomes more prolific within the UK construction sector, this construction approach coupled with BIM, particularly 5D automated quantification process, and early contractor involvement provides significant opportunities for the sector to meet government targets. Early contractor involvement is supported by both the industry and the successive Governments as a credible means to avoid and manage project risks, encourage innovation and value add, making cost and project time predictable, and improving outcomes. The contractor is seen as an expert in construction and could be counter intuitive to exclude such valuable expertise from the pre-construction phase especially with the BIM intent of äóÖbuild it twiceäó», once virtually and once physically. In particular when offsite construction is used, the contractoräó»s construction expertise should be leveraged for the virtual build in BIM-designed projects to ensure a fully streamlined process. Building in a layer of automated costing through 5D BIM will bring about a more robust method of quantification and can help to deliver the 25% reduction in overall cost of a project. Using a literature review and a case study, this paper will look into the benefits of Early Contractor Involvement (ECI) and the impact of 5D BIM on the offsite construction process.

Structure-Bioactivity Relationship Study of Xanthene Derivatives: A Brief Review

2020 ◽  
Vol 16 (8) ◽  
pp. 1071-1077
Author(s):  
Aref G. Ghahsare ◽  
Zahra S. Nazifi ◽  
Seyed M.R. Nazifi
Keyword(s):  
Biological Activities ◽  
Cyclic Compound ◽  
Research Field ◽  
Pharmaceutical Chemistry ◽  
Therapeutic Effects ◽  
Main Research ◽  
Research Fields ◽  
Xanthene Derivatives ◽  
Anti Cancer ◽  
Heterocyclic Derivatives

: Over the last decades, several heterocyclic derivatives compounds have been synthesized or extracted from natural resources and have been tested for their pharmaceutical activities. Xanthene is one of these heterocyclic derivatives. These compounds consist of an oxygen-containing central heterocyclic structure with two more cyclic structures fused to the central cyclic compound. It has been shown that xanthane derivatives are bioactive compounds with diverse activities such as anti-bacterial, anti-fungal, anti-cancer, and anti-inflammatory as well as therapeutic effects on diabetes and Alzheimer. The anti-cancer activity of such compounds has been one of the main research fields in pharmaceutical chemistry. Due to this diverse biological activity, xanthene core derivatives are still an attractive research field for both academia and industry. This review addresses the current finding on the biological activities of xanthene derivatives and discussed in detail some aspects of their structure-activity relationship (SAR).

scholarly journals Dual MD–MPH Degree Students in the United States: Moving the Medical Workforce Toward Population Health

2021 ◽  
pp. 003335492097842
Author(s):  
Jo Marie Reilly ◽  
Christine M. Plepys ◽  
Michael R. Cousineau
Keyword(s):  
Public Health ◽  
United States ◽  
Population Health ◽  
Health Care Policy ◽  
The United States ◽  
Extensive Literature ◽  
Master Of Public Health ◽  
Telephone Interviews ◽  
Public Health Training ◽  
The Impact

Objective A growing need exists to train physicians in population health to meet the increasing need and demand for physicians with leadership, health data management/metrics, and epidemiology skills to better serve the health of the community. This study examines current trends in students pursuing a dual doctor of medicine (MD)–master of public health (MPH) degree (MD–MPH) in the United States. Methods We conducted an extensive literature review of existing MD–MPH databases to determine characteristics (eg, sex, race/ethnicity, MPH area of study) of this student cohort in 2019. We examined a trend in the MD community to pursue an MPH career, adding additional public health and health care policy training to the MD workforce. We conducted targeted telephone interviews with 20 admissions personnel and faculty at schools offering MD–MPH degrees in the United States with the highest number of matriculants and graduates. Interviews focused on curricula trends in medical schools that offer an MD–MPH degree. Results No literature describes the US MD–MPH cohort, and available MD–MPH databases are limited and incomplete. We found a 434% increase in the number of students pursuing an MD–MPH degree from 2010 to 2018. The rate of growth was greater than the increase in either the number of medical students (16%) or the number of MPH students (65%) alone. Moreover, MD–MPH students as a percentage of total MPH students more than tripled, from 1.1% in 2010 to 3.6% in 2018. Conclusions As more MD students pursue public health training, the impact of an MPH degree on medical school curricula, MD–MPH graduates, and MD–MPH career pursuits should be studied using accurate and comprehensive databases.

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