Completion Of Project Research Articles

Sparse-View Neutron Computed Tomography 3-D Reconstruction via the Fast Gradient Projection Algorithm

Neutron tomography is an efficient nondestructive testing technique. As a complement to X-ray computed tomography, it has been widely used in various fields. Due to the difficulty of obtaining complete neutron projection data in a high-radiation environment and the high noise characteristics of neutron images, it is difficult to reconstruct a high-quality image using the conventional filtered-back projection (FBP) algorithm. Therefore, research on sparse-view reconstruction algorithms in neutron tomography is needed. To improve the quality of neutron three-dimensional reconstructed images, this paper proposes an algorithm that combines the Simultaneous Algebraic Reconstruction Technique (SART) with Fast Gradient Projection (FGP), where the FGP is an algorithm for image denoising and deblurring based on the discrete total variation (TV) minimization model. The algorithm proposed in this paper is compared with other algorithms (FBP, SART, and SART-TV) by simulated experimental data and real neutron experimental data. The experimental results show that the novel algorithm outperforms the other three algorithms in terms of denoising and retaining detailed structural information.

Empowering sustainable manufacturing: Unleashing digital innovation in spool fabrication industries

In industrial landscapes, spool fabrication industries play a crucial role in the successful completion of numerous industrial projects by providing prefabricated modules. However, the implementation of digitalized sustainable practices in spool fabrication industries is progressing slowly and is still in its embryonic stage due to several challenges. To implement digitalized sustainable manufacturing (SM), digital technologies such as Internet of Things, Cloud computing, Big data analytics, Cyber-physical systems, Augmented reality, Virtual reality, and Machine learning are required in the context of sustainability. The scope of the present study entails prioritization of the enablers that promote the implementation of digitalized sustainable practices in spool fabrication industries using the Improved Fuzzy Stepwise Weight Assessment Ratio Analysis (IMF-SWARA) method integrated with Triangular Fuzzy Bonferroni Mean (TFBM). The enablers are identified through a systematic literature review and are validated by a team of seven experts through a questionnaire survey. Then the finally identified enablers are analyzed by the IMF-SWARA and TFBM integrated approach. The results indicate that the most significant enablers are management support, leadership, governmental policies and regulations to implement digitalized SM. The study provides a comprehensive analysis of digital SM enablers in the spool fabrication industry and offers guidelines for the transformation of conventional systems into digitalized SM practices.

Scheduling Analysis on the Heavy Rehabilitation Construction Project of the Dr. R. Koesma Tuban Hospital Building Using the PERT Method

Project scheduling is a key factor in achieving successful implementation as planned. Constraints such as limited resources, improper reporting, and high costs often become challenges in project management. Delays in project completion are very detrimental both in terms of cost and time. Just like what happened in the Rehabilitation and Heavy Construction Project of the Outpatient and Administration Building at Dr. R. Koesma Regional General Hospital in Tuban Regency, there was a delay of 10 days in its implementation. This research aims to determine the duration of the rehabilitation of the dr. R. Koesma Hospital building in Tuban Regency using the PERT method to improve time efficiency, reduce the risk of delays, and ensure overall project success. The research method used is combining two approaches, PERT method (Program Evaluation and Review Technique) to calculate the expected duration estimation of each work, and Microsoft Project 2016 to compile a project schedule that allows identification of critical activities and work network analysis. The results of the analysis using PERT method and Microsoft Project 2016 showed that the project was estimated to be completed in 115 days, faster than the planned 133 days. The probability that the project will be completed within the planned target duration T(d) = 133 days is 99.9%. Hence, there is a high probability that the project will be completed on time.

Cooperation in the Gig Economy: Insights from Upwork Freelancers

Existing literature on online labor markets predominantly focuses on how freelancers individually complete tasks and projects. Our study examines freelancers' willingness to work collaboratively. We report results from a survey of 122 freelancers on a leading online labor market platform (Upwork) that examine freelancers' preferences for collaborative work arrangements, and that explore several antecedents of cooperative behaviors. We then test if actual cooperative behavior matches with freelancers' stated preferences through an incentivized social dilemma experiment. We find that respondents cooperate at a higher rate (85%) than reported in previous comparable studies (between 50-75%). This high rate of cooperation may be explained by an ingroup bias. Using a sequential mediation model, we demonstrate the importance of a sense of shared expectations and accountability for cooperation. We contribute to a better understanding of the potential for collaborative work on online labor market platforms by assessing if and what social factors and collective culture exist among freelancers. We discuss the implications of our results for platform designers by highlighting the importance of platform features that promote shared expectations and improve accountability. Overall, contrary to existing literature and predictions, our results suggest that freelancers in our sample display traits that are more consistent with belonging to a coherent group with a shared collective culture, rather than being anonymous actors in a transaction-based market.

Utilization of waste rubber tyre in soil stabilization

This paper explores the feasibility and benefits of utilizing waste rubber tyre for soil stabilization purpose.With the growing environmental concern surrounding waste tyre disposal, repurposing them for soil stabilization presents a sustainable solution. Added amount of rubber tyre had been varied in proportions of 10%, 15%, 20% and 25%.Waste rubber tyre helps in improving the desired properties of soil and minimizes the amount of waste to be deposited in environment causing environmental pollution. Rubber tyres are cost effective and is quite easily available, due to day by day increase in cost of stabilizers like cement, lime and other admixtures;use of shredded rubber tyre can result in project completion optimally. The soil sample used is clay, thus being highly plastic it is required to be strengthened by using varying proportion of shredded rubber tyre. The effect of shredded rubber tyre on soil is analysed by conducting various tests that governs the basic properties of soil and the obtained result shows that increasing the percentage of shredded rubber tyre results in enhancement in desired soil properties.Increase specific gravity, increase liquid limit, and decrease plastic limit are achieved through the incorporation of appropriate additives in soil stabilization processes. Key Word: Waste rubber tyre, Soil stabilization, Tyre recycling, shredded rubber tyre, Engineering properties, clay soil.

Living, Leading & Medicine: A two-tiered leadership development programme for family medicine residents.

There is increasing awareness of the necessity and importance for physician leadership in health care. Despite this, formal leadership training is not widespread in medical education. We describe the structure, curriculum and development of a robust two-tiered leadership development programme within a community-based family medicine residency programme. Living, Leading & Medicine (LLM, tier 1) consists of nine 2.5-h discussion-based training sessions occurring thrice annually. The Advanced Leadership Track (ALT, tier 2) includes mentoring, additional readings, personal evaluations and leadership projects. We used post-session surveys and exit surveys for LLM and ALT, respectively. We utilised the modified Kirkpatrick framework for programme evaluation to present outcomes from the first 3years for each tier. Over three quarters (40 out of 53) of residents participated in LLM sessions. The post-session survey response rate for LLM was 95% (124 out of 130 participants). Eighteen out of 33 residents (54.5%) completed the ALT. Of these, 72% (13 of 18) returned exit surveys. Residents found the programme valuable and relevant (Kirkpatrick level 1). Residents demonstrated improvements in leadership knowledge and skills (3.85 v. 3.11, p< 0.0001; Kirkpatrick level 2) compared with an internal, historic control group. We noted changes in resident behaviour and attitudes towards leadership (Kirkpatrick level 3). Finally, the completion of leadership projects demonstrates Kirkpatrick level 4 outcomes. We have created a longitudinal, two-tiered leadership development programme that has improved the leadership capabilities of our family medicine residents.

Application of the DEMATEL approach to analyse the root causes of building defects

Building defects are a common phenomenon in the construction industry. The negative consequences of building defects are not limited to waste generation or low resource efficiency. This challenge can have several direct and indirect implications such as cost overruns, unforeseen delays in project completion time, building occupants’ dissatisfaction and health and safety risks. Despite the increase in the number of studies investigating building defects in recent years, little is known about the prioritisation of their causes by considering the interaction among the causes of defects. Therefore, this study employed the decision-making trial and evaluation laboratory (DEMATEL) method to bridge this gap. Experts' opinion was sought using a questionnaire developed in the form of a matrix and semi-structured interview questions. Thereafter, the interactions among the causes of building defects were analysed and the most prominent causes are identified. The study showed that materials, workmanship and design are the major causes of building defects. Despite being specific context, the findings can be the basis for further research in this area with a focus on a range of different building typologies. Furthermore, the recommendations provided will act as a facilitator to minimise the occurrence of building defects. Lastly, the research findings can be considered in the planning stage of any construction project, to ensure the construction quality, reduce potential waste and enhance the circular economy and resource efficiency in the built environment sector.

Effect of Training on the Construction Project Performance Using System Dynamic

The sector of construction is important for the country's economic, community, and ecological agendas and therefore takes an important role in Iraq's future; managers of the project are in charge of activities planning and coordinating, and at the same time, obtaining the best charge, period, resources of the human and material so that objectives of the predetermined project are finally gotten. Hence, it is productivity can be increased if the skills of the managers of the projects are improved the paper aims to determine the effect of training on the project's performance in terms of both time and quality to obtain the causal effect on the projects. The paper's methodology consists of a questionnaire distributed to 140 experts in different sectors to obtain the problem that affects the time and quality of the projects and then analyze these problems using the system dynamic technique. Depending on the effort of the research, the subsequent assumptions can be utilized: The training system in Iraqi construction is very weak and very negligible and doesn't contain any supervision Most of the engineers are not multidiscipline, and even if they work on the other discipline, the luck the principle of it. The nature of the construction industry in Iraq tends to use traditional methods in construction and refuses to use modern techniques. There are a series of shortages in communication between different disciplines and that creates a gap that leads to becoming an obstacle in the front of project completion.

Implementing The Project To Strengthen The Profile Of Pancasila Students On The Theme Of Wisdom Class lll At SD Plus Al Anwar Islamic Boarding School Pacul Gowang

Since the new teachings of 2022–2023, the Al Anwar Pacul Gowang Islamic Boarding School Plus Elementary School has used the Independent Curriculum. establishing the Pancasila Student Profile as the cornerstone for cultivating pancasila-compatible character values. Its implementation is done through extracurricular and curricular (project-based) activities. The following are the 6 dimensions of Pancasila student profiles:: 1) Faith, Fear of God Almighty and noble character, 2) Global Diversity, 3) Mutual Cooperation, 4) Independent, 5) Critical Reasoning, 6) creative. The results of the study show that (1) The study's findings indicate that (1) Implementation of a project to enhance Pancasila students' profiles on the topic of class III local wisdom, in which the teacher creates materials and programs to be implemented over the course of one semester in order to ensure that the composition is well-designed, and that there are program benefits when students complete projects that are provided. (2) The ability to foster a sense of healing toward cultural variety, create innovative works and acts, and conduct projects to raise the profile of Pancasila class III students are demonstrated through efforts to increase student creativity. Not only that, but personality, emotional character, intellectual, language, cognitive character, and moral development all proceed at a rapid rate alongside physical and motor development. (3) Implementing the project to develop Pancasila student profiles on the topic of local knowledge has run into a number of challenges, including the teacher council's lack of cooperation, a lack of resources and infrastructure, and parental opposition. Increased collaboration with teacher boards and full facilities are the answers to these problems.

Increasing the wear resistance of hip prostheses components using micro-nanostructured thin layers

Evaluation of micro-nanostructured thin layers applicability for increasing the lifetime of rehabilitation systems, mainly hip prostheses, is the aim of the present research. This because, the final objective of the complete project is to improve the quality of human prostheses using micro-nanostructured thin layers. In order to realize these researches, 0.5, 1, and 1.5 µm thick thin layers of TiN and TiO2, were deposited on substrates made of materials currently used for hip prostheses – M30NW steel and CoCr – using physical deposition methods, respectively Cathodic Arc (CA), Direct Current (DC) sputtering and High-Power Impulse Magnetron Sputtering (HiPIMS). After tribological and nanoindentation tests, the 1.5 μm thick TiN and TiO2 thin layers deposited on the steel and CoCr substrates using the DC sputtering method presented superior mechanical properties. Functional characterization of a total hip prosthesis, that have had components coated with these thin layers presented an increased resistance to fatigue wear. After comparative analysis, the main conclusion of the realized researches was that TiN layers with a thickness of 1.5 μm have an increased resistance to fatigue wear in comparison with TiO2 layers, when both are deposited by DC sputtering on M30NW steel and CoCr substrates. It was observed that 1.5 μm thick TiN layers ensures a prolongation by 15% of the lifetime of femoral heads compared to those uncoated.

Modeling the morphological response of gravel–bed rivers subject to repeated sediment bypass tunnel operations

Introduction: Sediment bypass tunnels (SBTs) are operated during floods to re-establish sediment continuity past dams with the ultimate goal of decreasing accumulation in reservoirs. Depending on the location of the intake structure and operational conditions, SBTs may release either bed load-laden or bed load-free flows in the form of sudden floods (pulses). When evaluating the impacts of SBTs, the traditional approach has been to monitor channel changes in the years following project completion. However, by the time these impacts become evident, mitigation is challenging.Methods: This research adopts a forward-thinking methodology, emphasizing the prediction of potential impacts during the project’s early planning stages. We use a one-dimensional morphodynamic model to forecast the potential morphological response of a gravel-bed river with an idealized geometry to a series of SBT operations characteristic of projects in the Swiss Alps.Results: The morphological response of the downstream reach over the medium to long term is influenced by the alternating pattern of bed load-laden and bed load-free flow releases. This pattern is instrumental in forming a transition region near the SBT outlet hydrograph boundary layer (HBL).Discussion: Within the (HBL), fluctuations in bed elevation and slope are localized, while variations in grain-size distribution persist throughout the downstream region.

The Influence of Interpersonal Communication on Student Learning Motivation in Completing Final Projects (Study on Communication Major Class of 2019 at Telkom University's School of Communication and Business)

Aspects of motivation and interpersonal communication are very important in the learning process in college, because motivation will ensure how much effort and encouragement for students in completing education. Not only that, interpersonal communication also affects how students interact with others, to be able to put themselves in a positive atmosphere, so that they can get motivation to be able to complete the final project in achieving a bachelor's degree. The influence of interpersonal communication on students' learning motivation to complete the final project is the subject of this study. This research is based on the theory of self-disclosure proposed by Sydney Marshall Jourad. Quantitative research methods are correlational; Information was collected through questionnaires and analyzed descriptively. The results of this study showed that interpersonal communication skills affected learning motivation to complete the final project by 6.1%. So it can be concluded that interpersonal communication skills have a less significant effect on learning motivation in completing the final project, so it requires other supporting aspects. Keywords: Interpersonal Communication; learning motivation; Final Project Completion

The application of Bayesian network analysis in demystifying construction project subcontracting complexities for developing countries

Purpose This study aimed to address a gap in subcontractor management by focusing on previously unexplored complexities surrounding subcontractor management in developing countries. While past studies concentrated on selection and relationships, this study delved into how effective subcontractor management impacts project success. Design/methodology/approach This study used the Bayesian Network analysis approach, through a meticulously developed questionnaire survey refined through a piloting stage involving experienced industry professionals. The survey was ultimately distributed among participants based in Accra, Ghana, resulting in a response rate of approximately 63%. Findings The research identified diverse components contributing to subcontractor disruptions, highlighted the necessity of a clear regulatory framework, emphasized the impact of financial and leadership assessments on performance, and underscored the crucial role of main contractors in Integrated Project and Labour Cost Management with Subcontractor Oversight and Coordination. Originality/value Previous studies have not considered the challenges subcontractors face in projects. This investigation bridges this gap from multiple perspectives, using Bayesian network analysis to enhance subcontractor management, thereby contributing to the successful completion of construction projects.

Multi-criteria decision support model for selecting the appropriate construction management firm

Construction management (CM) companies serve as representatives for clients, aiding them in overseeing construction projects throughout the project’s entire life cycle. Opting for the right CM firm enhances the likelihood of a successful project completion. Existing research has highlighted a lack of decision support models for CM firms. This study introduces a multi-criteria decision support model employing the Analytic Hierarchy Process (AHP) for the selection of suitable Construction Management firms. The primary objective of this model is to guide decision-makers in choosing the most suitable CM firm, ensuring that the provider offers the necessary services from project initiation to closure. Additionally, this research seeks to standardize the CM firm selection process based on key criteria, which were identified through a literature review. The significance of these criteria was assessed via a survey distributed to construction professionals in the United Arab Emirates (UAE). The survey collected feedback by having respondents make pairwise comparisons of the identified criteria. The data, consisting of 52 survey responses, were analysed using Expert Choice software and utilized to construct the AHP-based model. The findings reveal that the most crucial factors for CM firm selection are prior experience in similar projects, financial stability, proficiency in Building Information Modelling (BIM), the qualifications and capabilities of key staff members, ongoing project experience, and expertise in risk management. The study also presents a four-stage framework that decision-makers can follow when selecting the appropriate CM firm, and it includes a case study to illustrate the application of the proposed model.

Bangladesh in 2022 and 2023

Following the semicentennial celebrations and a global pandemic, Bangladesh seemed well on track to achieve the promises of furthering both democracy and development. But while development was visible in the completion of spectacular infrastructural projects, democracy continued to suffer, as the government plans to host the 12th parliamentary elections without the participation of the main opposition party. The war in Ukraine and a depleting foreign exchange reserve severely affected the country’s economic profile, while a dengue outbreak once more revealed the inadequacies of its public health system.

TIME AND COST ANALYSIS OF DHOHO KEDIRI AIRPORT ACCESS ROAD PROJECT USING EARNED VALUE METHOD

Delays in project completion are something that any project contractor must avoid. Because apart from having a negative effect on the credibility of the project contractor, delays in project completion also cause penalty costs to be borne by the contractor, so that the profits to be obtained are reduced.Earned Value Method. This method is used to determine project performance in terms of costs at one time, determine project performance in terms of schedule/time at one time, predict costs to complete the project after the evaluation time and predict the time to complete the project after the evaluation.By using this method in the Kediri airport access road construction project, it was found that the project was delayed from the plan. The ETC (estimate to complete) value obtained was the estimated budget value required for completion was IDR 17,470,510,292.77, while the EAC (estimate at complete) value obtained was the final total cost estimate. project is IDR 32,509,153,464.05. TE Value Results (Time Estimate) to complete the project to completion in 89 calendar days or 5 days later than the contract time of 84 calendar days.

Practice of Digital Media Art Education Based on Virtual Reality Technology

Digital media art education has entered a new era with the integration of virtual reality (VR), offering students immersive and interactive learning experiences. Through VR technology, students can explore the creative possibilities of digital media art in a simulated environment that transcends traditional classroom boundaries. From interactive installations to virtual exhibitions, VR enables students to experiment with diverse mediums, techniques, and concepts in a safe and engaging space. Moreover, VR facilitates collaboration and peer feedback, allowing students to showcase their work, receive critiques, and collaborate with peers from around the world in virtual studios and galleries. This paper explores the practical implementation of digital media art education utilizing virtual reality (VR) technology, augmented by Multimedia Linear Statistical Feature Classification (MLSC). VR technology offers immersive and interactive learning environments, allowing students to explore and create digital media art in three-dimensional spaces. The incorporation of MLSC enhances the educational experience by providing personalized feedback and assessment based on statistical analysis of multimedia features. Through simulated experiments and empirical validations, the effectiveness of the VR-based digital media art education approach with MLSC is evaluated. Results demonstrate significant improvements in student engagement, creativity, and learning outcomes. The students using the VR platform with MLSC achieved a 40% increase in project completion rates and a 30% improvement in artistic proficiency compared to traditional methods. These findings highlight the potential of combining VR technology with MLSC to revolutionize digital media art education, preparing students for careers in the dynamic and interdisciplinary field of digital media.

КОМПЛЕКСНАЯ ОЦЕНКА ПРОИЗВОДСТВЕННОЙ ГОТОВНОСТИ ПРОЕКТА ПОЛНОГО ЦИКЛА РАЗРАБОТКИ ФАРМАЦЕВТИЧЕСКОГО ПРОДУКТА

Currently, there is still a large gap between developed technology and production capabilities that translate this technology into commercial success. In this case, there is an inability to "bridge the gap", i.e. incomprehension of how to advance product development from a laboratory sample to serial production of this product. Definition of the research and development life cycle on the basis of stages, differentiated according to the technology readiness levels and manufacturing readiness levels, taking into account the experience of applying various techniques in world practice, and also on the basis of determining the level of technology readiness, was first outlined in the Guidelines for the preparation of initial data for the development and correction of forecast of scientific and technological development of the Russian Federation, approved by the Order of the Ministry of Education and Science of the Russian Federation No. 1335 dated 11/13/2015. A prerequisite for implementation of state-funded research and development programs was the need to evaluate the TRL and MRL at the time of launch and on completion of research project. Currently, in the Russian Federation, the use of TRL-assessments is provided for by the Order of the Ministry of Education and Science of the Russian Federation No. 107 dated 02/06/2023 "On Approval of the procedure for determining the readiness levels of emerging or developed technologies, as well as scientific and scientific-technical results corresponding to each technology readiness level". TRL assessment, which is characterized by the readiness of the drug product production from the design of molecule to the commercial batch production, is currently not used in the field of drug circulation.

Artificial Intelligence Models for Predicting Budget Expenditures

This study develops and tests a machine learning (ML)-based cost forecasting model against traditional earned value management (EVM) techniques. Utilizing Python for ML implementation, the research applies algorithms to a dataset of completed projects globally, evaluating their performance with metrics like mean absolute percentage error (MAPE) and percentage error (PE). The results confirmed that ML give more accurate results than the traditional methods. Thus, the initial rate showing that XGBoost is more accurate than the traditional method using Index-2 is 88%. In 23 of 25 randomly selected projects, this algorithm was more accurate. At the middle stage, the same frequency is 92.6%; later stage, the selected criterion further confirms that the ML algorithm is more accurate than the traditional method, accounting for 75% of 21 projects out of 28. By introducing ML into project management forecasting, managers could spend less time on the technical tasks in their projects. Despite its effectiveness, the study's scope is limited by a small sample size of 110 projects and the testing of only three algorithms. Future research is suggested to expand the dataset and explore additional algorithms, including neural networks and tree-based methods, to enhance forecasting precision.

Unlocking the Potential of BIM and VR Integration to Address Construction Challenges in Malaysia’s Building Industry: A Literature Review

Delays in project completion, cost overruns, safety risks, and poor communication among project stakeholders are just some of the leading causes of the many problems plaguing Malaysian construction projects. The construction sector in this country is suffering from these significant problems, which could be remedied with the help of emerging technologies, including Building Information Modelling (BIM) and Virtual Reality (VR). Integrating Virtual Reality (IVR) and Building Information Modelling (BIM) may help avoid and resolve such problems during construction. The features allow for remote collaboration, enhanced communication and connection, enhanced immersion and interactivity, and reduced costs. This literature review exemplifies the challenge that arose on a construction site, as well as the potential of VR technology in general and its integration in assisting the construction industry in Malaysia with BIM. Based on the comprehensive analysis conducted, it is evident that the integration of BIM and VR presents a vast potential to alleviate and resolve the pressing construction-related challenges afflicting Malaysia’s construction industry. The effective integration of these innovative technologies can revolutionise the sector by mitigating cost overruns, reducing project delays, enhancing communication, and improving safety outcomes. Therefore, realising the potential and exploring the possibilities of BIM and VR integration is crucial to overcoming the issues and promoting sustainable growth in Malaysia’s construction sector.