Prediction model for pile construction productivity rate utilizing the multiple linear regression technique

Productivity is a prevalent requirement in the bridge construction industry. The precision of productivity rate measurement is significantly influenced by the ability to recognize and implement the critical factors that impact the productivity rate. However, the significance of productivity in cost reduction and profit generation is fundamental to every construction industry. Bored piles are critical components in the foundation of transportation bridges. The productivity estimation processes for piles are influenced by a multitude of factors, leading to several challenges for estimators in terms of time and cost. Hence, the present study aims to diagnose these issues and evaluate the rate of productivity in pile construction through the utilization of the multiple linear regression (MLR) Technique. The data for this study was gathered via designated questionnaires, on-site interviews, and telephone inquiries to professionals affiliated with various construction firms. A selection of nine factors that have the greatest influence on the productivity of construction have been identified. These factors are considered autonomous variables that have an impact on the rate of pile productivity. The construction productivity rate, which is impacted by the influencing factors, is the dependent variable. An equal number of 84 questionnaire samples were utilized to construct each of the influencing factors incorporated in this model. The work measurement form was designed to collect real-time primary data from the construction site, six data samples for each factor were obtained from different bridge and overpass projects to verify the effectiveness and performance of the model. The study revealed that the multi-linear regression model has a high level of prediction for productivity, with an accuracy rate of 92.93%. Additionally, the correlation coefficient was determined to be 99%. The results indicated a robust correlation among the independent variables in the constructed model, and the predictions generated by the model matched what was observed

One Parameter Composite Semigroups of Linear Bounded Operators in Strong Operator Topology of Schatten Class Cp

For semigroups of linear bounded operators on Hilbert spaces, the problem of being in Cp , 0 Keyword

QUANTIFICATION OF CONSTRUCTION WASTE GENERATED IN CONSTRUCTION PROJECTS OF IRAQ

Construction industry has a vital and direct relation in development and prosperity of nations. However, expeditious population growing in addition to the huge expansion in buildings and infrastructure projects for keeping up with the varied nature of living’s standards have generated enormous amounts of construction waste. Hence, this research addresses the measurement and the incidence of construction material waste (cement, sand, gravel, lime & gypsum, ceramic wall tiles and floor tiles) in two different of Iraqi project sectors, namely, private and public. Interviews, extensive literature reviews, field observations and documentary analysis of past records were adopted through this study. Results showed that both of lime & gypsum have the highest rates of construction waste among other materials. Furthermore, private projects generate much more quantities of construction waste than in public projects. This proves the commitment of the public construction projects with the standard limits for each construction material in construction sit

Prediction model for pile construction productivity rate utilizing the multiple linear regression technique

Productivity is a prevalent requirement in the bridge construction industry. The precision of productivity rate measurement is significantly influenced by the ability to recognize and implement the critical factors that impact the productivity rate. However, the significance of productivity in cost reduction and profit generation is fundamental to every construction industry. Bored piles are critical components in the foundation of transportation bridges. The productivity estimation processes for piles are influenced by a multitude of factors, leading to several challenges for estimators in terms of time and cost. Hence, the present study aims to diagnose these issues and evaluate the rate of productivity in pile construction through the utilization of the multiple linear regression (MLR) Technique. The data for this study was gathered via designated questionnaires, on-site interviews, and telephone inquiries to professionals affiliated with various construction firms. A selection of nine factors that have the greatest influence on the productivity of construction have been identified. These factors are considered autonomous variables that have an impact on the rate of pile productivity. The construction productivity rate, which is impacted by the influencing factors, is the dependent variable. An equal number of 84 questionnaire samples were utilized to construct each of the influencing factors incorporated in this model. The work measurement form was designed to collect real-time primary data from the construction site, six data samples for each factor were obtained from different bridge and overpass projects to verify the effectiveness and performance of the model. The study revealed that the multi-linear regression model has a high level of prediction for productivity, with an accuracy rate of 92.93%. Additionally, the correlation coefficient was determined to be 99%. The results indicated a robust correlation among the independent variables in the constructed model, and the predictions generated by the model matched what was observed

Beyond pillbox: a national cross-sectional study on the attitudes, practices, and knowledge of community pharmacists regarding complementary and alternative medicine

Abstract Background While community pharmacists are uniquely positioned to promote the safe and effective use of complementary and alternative medicine, their potential role remains largely untapped. The objective of this study was to assess the knowledge, attitudes, and practices related to complementary and alternative medicine products among community pharmacists in the United Arab Emirates and explore the correlates of knowledge in the study sample. Methods Using a stratified random sampling frame, a national survey of community pharmacists was conducted in the United Arab Emirates. In a face-to-face interaction, participants completed a multi-component questionnaire consisting of four sections: sociodemographic and general characteristics; knowledge of complementary and alternative medicine products and usage; attitudes towards complementary and alternative medicine and practices related to complementary and alternative medicine. Based on participants’ answers, scores were calculated with higher scores indicating more positive knowledge, attitudes, and practices. Results 373 community pharmacists participated in the study (response rate: 83%). For the knowledge questions, more than 50% of community pharmacists correctly answered the functions of complementary and alternative medicine, however lower percentages were noted for the side effects and drug interactions questions. Most community pharmacists had positive attitudes towards complementary and alternative medicine, except for particular aspects such as efficacy, where 40% agreed that complementary and alternative medicine is only effective in treating minor complaints. As for practices, while more than 70% of participants counseled patients on complementary and alternative medicine use, only 47% reported the toxic effects when encountered. Multiple linear regressions showed that community pharmacists working in independent pharmacies, those with fewer years of experience, and those who did not receive complementary and alternative medicine education during their academic degree had lower knowledge scores (p < 0.05). Conclusions The findings of this study showed that community pharmacists in the United Arab Emirates have good knowledge of complementary and alternative medicine functions and generally positive attitudes and practices, with few gaps identified in each. Together, these findings provide critical evidence for the development of targeted interventions to promote the role of community pharmacists towards safe and effective complementary and alternative medicine use in the country