Comparative study on the perspective towards the benefits and hindrances of implementing building information modelling (BIM)

Building Information Modelling (BIM) is considered one of the most effective technologies to improve the productivity of the building process. BIM has proven its advantages throughout the building project life cycle. However, the lack of awareness towards BIM is due to the persistent practice of obsolete technology in construction. Thus, the aim of this study is to explore the industrial practitioners' perspectives on the benefits and hindrances of BIM implementation in order to understand their level of awareness. A questionnaire survey was distributed to 120 consultant companies in Kuala Lumpur where 52 responded. The data were analysed using frequency analysis and test for correlation was performed. Results revealed that respondents have a positive awareness of the benefits and hindrances towards the implementation of BIM. Both BIM and non-BIM users achieve a significant agreement on the benefits of BIM to control delay, cost, and improves management. On the other hand, all participants criticised that High Cost Allocation, Time Consuming, Lack of Information are hindering the implementation of BIM. In addition, there was a weak relationship between the BIM as a tool in company and the predictor variables which are level of understanding, time saving, cost saving, better management, cost allocation, time consumption and lack of awareness. The correlation coefficient values obtained were 0.419, 0.403, 0.376, 0.446, 0.324, 0.407 and 0.274 respectively. The outcomes indicate that construction industry experience constraint on implementing BIM mainly due to the BIM enforcement by the government industry. Thus, this paper is significant in contributing knowledge of awareness between BIM and non-BIM users on benefits and hindrances of BIM implementation. It also acts as a benchmark for the government to address the relevant issues provide a channel to drive the industry towards BIM level 2

Comparative Study on the Perspective towards the Benefits and Hindrances of Implementing Building Information Modelling (BIM)

Building Information Modelling (BIM) is considered one of the most effective technologies to improve the productivity of the building process.  BIM has proven its advantages throughout the building project life cycle. However, the lack of awareness towards BIM is due to the persistent practice of obsolete technology in construction. Thus, the aim of this study is to explore the industrial practitioners' perspectives on the benefits and hindrances of BIM implementation in order to understand their level of awareness. A questionnaire survey was distributed to 120 consultant companies in Kuala Lumpur where 52 responded. The data were analysed using frequency analysis and test for correlation was performed. Results revealed that respondents have a positive awareness of the benefits and hindrances towards the implementation of BIM. Both BIM and non-BIM users achieve a significant agreement on the benefits of BIM to control delay, cost, and improves management. On the other hand, all participants criticised that High Cost Allocation, Time Consuming, Lack of Information are hindering the implementation of BIM. In addition, there was a weak relationship between the BIM as a tool in company and the predictor variables which are level of understanding, time saving, cost saving, better management, cost allocation, time consumption and lack of awareness. The correlation coefficient values obtained were 0.419, 0.403, 0.376, 0.446, 0.324, 0.407 and 0.274 respectively. The outcomes indicate that construction industry experience constraint on implementing BIM mainly due to the BIM enforcement by the government industry. Thus, this paper is significant in contributing knowledge of awareness between BIM and non-BIM users on benefits and hindrances of BIM implementation. It also acts as a benchmark for the government to address the relevant issues provide a channel to drive the industry towards BIM level 2

An improved wrapper-based feature selection method for machinery fault diagnosis

A major issue of machinery fault diagnosis using vibration signals is that it is over-reliant on personnel knowledge and experience in interpreting the signal. Thus, machine learning has been adapted for machinery fault diagnosis. The quantity and quality of the input features, however, influence the fault classification performance. Feature selection plays a vital role in selecting the most representative feature subset for the machine learning algorithm. In contrast, the trade-off relationship between capability when selecting the best feature subset and computational effort is inevitable in the wrapper-based feature selection (WFS) method. This paper proposes an improved WFS technique before integration with a support vector machine (SVM) model classifier as a complete fault diagnosis system for a rolling element bearing case study. The bearing vibration dataset made available by the Case Western Reserve University Bearing Data Centre was executed using the proposed WFS and its performance has been analysed and discussed. The results reveal that the proposed WFS secures the best feature subset with a lower computational effort by eliminating the redundancy of re-evaluation. The proposed WFS has therefore been found to be capable and efficient to carry out feature selection tasks

1-(6-Fluoro-1,3-benzothia­zol-2-yl)-3-phenyl-1H-pyrazole-4-carbaldehyde

The asymmetric unit of the title compound, C17H10FN3OS, consists of two crystallographically independent mol­ecules. In one mol­ecule, the pyrazole ring makes dihedral angles of 6.51 (7) and 34.02 (9)°, respectively, with the terminal 1,3-benzothia­zole ring system and the phenyl ring, while in the other mol­ecule these values are 6.41 (8) and 23.06 (9)°. In the crystal, the molecules are linked by weak π–π [centroid–centroid distance = 3.7069 (10) Å] and C—H⋯π inter­actions

Diabetes with Hypertension as Risk Factors for Adult Dengue Hemorrhagic Fever in a Predominantly Dengue Serotype 2 Epidemic: A Case Control Study

Dengue is a major vector borne disease in the tropical and subtropical regions. An estimated 50 million infections occur per annum in over 100 countries. A severe form of dengue, characterized by bleeding and plasma leakage, known as dengue hemorrhagic fever (DHF) is estimated to occur in 1–5% of hospitalized cases. It can be fatal if unrecognized and not treated in a timely manner. Previous studies had found a number of risk factors for DHF. However, screening and clinical management strategies based on these risk factors may not be applicable to all populations and epidemics of different serotypes. In this study, we found significant association between DHF and diabetes mellitus and diabetes mellitus with hypertension during the epidemic of predominantly serotype 2 (year 2007 and 2008), but not during the epidemic of predominantly serotype 1 (year 2006). Diabetes mellitus and hypertension are prevalent in Singapore and most parts of South-East Asia, where dengue is endemic. Therefore, it is important to address the risk effect of these co-morbidities on the development of DHF so as to reduce morbidity and mortality. Our findings may have impact on screening and clinical management of dengue patients, when confirmed in more studies

A novel dual reciprocity boundary element formulation for two-dimensional transient convection–diffusion–reaction problems with variable velocity

This paper describes a new formulation of the dual reciprocity boundary element method (DRBEM) for two-dimensional transient convection-diffusion-reaction problems with variable velocity. The formulation decomposes the velocity field into an average and a perturbation part, with the latter being treated using a dual reciprocity approximation to convert the domain integrals arising in the boundary element formulation into equivalent boundary integrals. The integral representation formula for the convection-diffusion-reaction problem with variable velocity is obtained from the Green’s second identity, using the fundamental solution of the corresponding steady-state equation with constant coefficients. A finite difference method (FDM) is used to simulate the time evolution procedure for solving the resulting system of equations. Numerical applications are included for three different benchmark examples for which analytical solutions are available, to establish the validity of the proposed approach and to demonstrate its efficiency. Finally, results obtained show that the DRBEM results are in excellent agreement with the analytical solutions and do not present oscillations or damping of the wave front, as it appears in other numerical techniques

Neglected Tropical Diseases of the Middle East and North Africa: Review of Their Prevalence, Distribution, and Opportunities for Control

The neglected tropical diseases (NTDs) are highly endemic but patchily distributed among the 20 countries and almost 400 million people of the Middle East and North Africa (MENA) region, and disproportionately affect an estimated 65 million people living on less than US$2 per day. Egypt has the largest number of people living in poverty of any MENA nation, while Yemen has the highest prevalence of people living in poverty. These two nations stand out for having suffered the highest rates of many NTDs, including the soil-transmitted nematode infections, filarial infections, schistosomiasis, fascioliasis, leprosy, and trachoma, although they should be recognized for recent measures aimed at NTD control. Leishmaniasis, especially cutaneous leishmaniasis, is endemic in Syria, Iran, Iraq, Libya, Morocco, and elsewhere in the region. Both zoonotic (Leishmania major) and anthroponotic (Leishmania tropica) forms are endemic in MENA in rural arid regions and urban regions, respectively. Other endemic zoonotic NTDs include cystic echinococcosis, fascioliasis, and brucellosis. Dengue is endemic in Saudi Arabia, where Rift Valley fever and Alkhurma hemorrhagic fever have also emerged. Great strides have been made towards elimination of several endemic NTDs, including lymphatic filariasis in Egypt and Yemen; schistosomiasis in Iran, Morocco, and Oman; and trachoma in Morocco, Algeria, Iran, Libya, Oman, Saudi Arabia, Tunisia, and the United Arab Emirates. A particularly noteworthy achievement is the long battle waged against schistosomiasis in Egypt, where prevalence has been brought down by regular praziquantel treatment. Conflict and human and animal migrations are key social determinants in preventing the control or elimination of NTDs in the MENA, while local political will, strengthened international and intersectoral cooperative efforts for surveillance, mass drug administration, and vaccination are essential for elimination