Progress Of Project Research Articles

Technical Evaluation Requirements on Welding-Related Nonconformance Reports

Abstract During the manufacturing and installation of nuclear power equipment and components, welding-related nonconformance reports (NCRs) prepared by initiators for evaluation vary considerably in quality, influencing working efficiency and project progress. In accordance with the project practices, this article tries to determine the reasons for low-quality welding-related NCR content from three aspects: document flow process, skill levels of technicians, and nonconforming-item control procedure. The technical evaluation requirements on welding-related NCRs are put forward from the perspective of design evaluation in accordance with regulations, standards, design principles, professional knowledge, and engineering practices. According to human performance theory, these evaluation requirements can be used to guide the preparation and review of welding-related NCRs. The inherent logic behind these requirements is to help the initiators and reviewers of welding-related NCRs transform their knowledge-based behavior modes to rule-based behavior modes, thus greatly improving the content quality of NCRs.

Significant Factors Causing Delay of Ethiopian Road Construction Projects performing by Foreign General Contactors

Following the booming of the Ethiopian construction industry, a number of Foreign General Contractors (FGCs) are participating in the industry. The severity of the construction projects schedule delay, which is a worldwide problem also, affecting the FGCs participating in the Ethiopian road construction projects. Identifying the challenging factors affect the project performance was an important and initial stage for improving the project progress. This study identified the significant factors that cause the projects schedule delay systematically and objectively. After 30 factors were determined from literature and pilot survey, the final questionnaire survey of 235 domain experts was conducted to systematically select 20 factors. Based on the 20 selected factors, 81 historical data of road construction projects with schedule delay were collected; and the database was established. The artificial neural network (ANN) inference model was developed to train the database and predict the project schedule delay. Integrating it with the Garson algorithm (GA), the relative weights of challenging factors with rankings were calculated and identified. The top ten significant factors identified were Contractor's poor site management; Ineffective planning, scheduling, controlling and quality monitoring; Difficulty in Budget availability for the project; Delays in construction activities due to weather changes; late land acquisition; Shortage of materials; Financial problem of contractors; Poor supervision; Cash-flow problems (irregular payments), and Financial Capability of Client. This study uses as a significant reference for FGCs who are currently working in the Ethiopian Road construction projects for improving the projects schedule performance.

Proceedings of the 2023 Second Annual ASTCT-NMDP ACCESS Initiative Workshop

Here the proceedings from the Second Annual American Society for Transplantation and Cellular Therapy (ASTCT) and National Marrow Donor Program (NMDP) ACCESS Initiative are reviewed to inform the hematopoietic cell transplantation (HCT) and cellular therapy (CT) ecosystem about progress and direction of the collaborative. Highlights from the meeting, including updates on the progress of projects from the Awareness, Poverty, and Racial Inequity Committees, are presented. The ACCESS Initiative continues to evolve and will remain dependent on the HCT/CT ecosystem's continued dedication to reduce barriers and improve outcome disparities for all patients in need of HCT/CT.

Analysis of the Implementation of Project Control Information System (SIPP) in Engineering Procurement Construction Projects

Information System is a system that is needed by organizations in evaluating the performance of a project. In EPC projects, tools are needed to help evaluate costs and progress. For this reason, through the Project Control Information System (SIPP), the prognosis of costs and project progress can be known. This study uses a mix method that aims to analyze the performance of SIPP in the Sorong Open Access project by comparing the Financial Work Plan (RKK) report with data inputted in the SIPP system and interview methods to users, direct supervisors and upper management. So that a conclusion and recommendations can be produced for improving data input and the use of SIPP in EPC projects. The results of quantitative research that have been carried out on the percentage of suitability of cost item data and RKK progress items inputted in the SIPP in December 2022, January 2023 and February 2023 the conformity value is still small. The results of qualitative research from interviews of 12 people represented by 5 users, 4 user superiors and 3 upper management, concluded that the SIPP program was quite good. However, improvements are needed in the data verification process after input. The proposed new business process is expected to improve the data input process and the conformity of the input data is 100%. So that payment problems to suppliers and progress do not experience obstacles due to data discrepancies in SIPP.

Sodium valproate with olanzapine in the treatment of mood disorder mania in construction project management

BackgroundWith increased social pressure and work intensity, construction workers face increasing mental pressure. In recent years, studies have shown that the incidence rate of mood disorder mania is gradually rising among construction workers in construction engineering. To ensure project progress and worker health, this study analyzed the effectiveness of sodium valproate combined with olanzapine in treating mood disorder mania in construction workers.Subjects and MethodsOne hundred construction workers diagnosed with mood disorder mania were randomly divided into an experimental and a control group, with 50 people in each group. The experimental group was treated with sodium valproate and olanzapine. The control group only used sodium valproate. The experiment lasted three months, and the patient’s status was evaluated using the Beck Ravensen Mania Scale (BRMS). Use Excel and SPSS24.0 to process the data statistically.ResultsAfter three months of treatment, the manic symptoms in the experimental group improved faster and had fewer side effects. The treatment effectiveness rate of the experimental group was as high as 86%, significantly higher than the control group’s 68%. Proved the effectiveness of sodium valproate combined with olanzapine treatment regimen.ConclusionsIn construction project management, sodium valproate combined with olanzapine can effectively alleviate symptoms and improve workers’ mental health and work efficiency for construction workers suffering from mood disorder mania.

신탁방식 정비사업 신탁수수료율의 영향요인에 관한 연구

Recently, interest and demand for “trust method maintenance projects” are increasing in order to promote stable projects in a number of maintenance projects (planned) areas due to rapid housing supply centered on public redevelopment projects and Moa Town projects in Seoul. The “Trust Method Maintenance Project” was introduced in September 2015 as an amendment to the “Urban and Residential Environment Maintenance Act” to solve the problem of delays in project promotion and lack of expertise. Previous studies mainly discussed how to activate trust method maintenance projects and differences from existing union methods, and studies on the “Trust Fee rate”, a major factor in determining trust methods, are rare. This study derives variables that affect the trust fee rate for the entire domestic trust method maintenance project from January 2016 to December 2021, when the trust method maintenance project was implemented. Based on this, multiple regression analysis analyzed which variables affect the trust fee rate and confirmed that “new total floor area”, “the size of the trust company (small)” and “regional impact (local)” were influencing factors. In other words, it was verified that the size of the project and the degree of risk of the project's progress have an effect on the trust fee rate. This study is significant in that it is the first study on the trust fee rate of trust method maintenance projects that have not been covered in previous studies after investigating the entire trust method maintenance project site in Korea. In the future, this study is expected to be used as a basis for judging the choice of trust method maintenance projects for owners such as unions or land.

K-Means Algorithm Implementation for Project Health Clustering

Indonesia has several companies that are involved in the telecommunications sector. Various projects run in parallel to support the success of telecommunications companies. The potential of a project can increase company revenue and productivity. On the other hand, there are some risks that need to be considered for every project when it is about to start. Project data is recorded from start to finish so that the project's progress and improvements can be monitored and analyzed. As the project runs, the project team at one of Indonesia's telecommunication companies, which is responsible for the processes leading to project success, requires a project health category. Therefore, this study is conducted to develop a clustering project health process, which is included in a type of unsupervised learning that runs on unlabeled data. One of the clustering algorithms is K-Means, which groups data based on similar criteria. Researchers also use dimensionality reduction with the principal component analysis (PCA) method to determine its impact on the clustering process with the K-Means algorithm. From this study, the researcher obtained three groups or project health categories, consisting of groups 0, 1, and 2. The evaluation results with the Calinski-Harabasz index showed that the K-Means model in the PCA dimensionality reduction data performed better than the standard K-Means model with a Calinski-Harabasz index value of 55633,12776405707, which is higher than 25914,578262576793.

Implementation of the Project-Based Learning Model (PJBL) in Islamic Religious Education Subjects Based on Merdeka Curriculum at SMKN 1 Purwosari Pasuruan

This research seeks to determine the process of implementing Islamic Religious Education subject based on Merdeka Curriculum at SMKN 1 Purwosari Pasuruan and the steps. This study was carried out with a qualitative method and descriptive approach. To obtain the datas, the techniques used were: in-depth interviews, observations and documentation. This study indicated that the PjBL in Islamic Religious Education subject at SMKN 1 Purwosari Pasuruan consisted of three main steps: planning step, execution step, and evaluation step. There are six main aspects on project-based learning planning: (1) formulation of learning objectives; (2) students characteristics analysis; (3) learning strategies; (4) making worksheets; (5) designing the need for learning resources; and (6) developing evaluation tools. The implementation of the project-based learning in Islamic Religious Education subject at SMKN 1 Purwosari Pasuruan have met the standards set by the George Lucas Educational Foundation on implementing project-based learning. (1) starting with essential queries; (2) designing a project plan: (3) scheduling; (4) monitoring students and their project progress; (5) assessing learning results; and (6) reflection. At the level evaluation, there are three types of evaluations: formative assessment, summative assessment and diagnostic assessment, including project evaluation

Implementation of the Project-Based Learning Model (PJBL) in Islamic Religious Education Subjects Based on Merdeka Curriculum at SMKN 1 Purwosari Pasuruan

This research seeks to determine the process of implementing Islamic Religious Education subject based on Merdeka Curriculum at SMKN 1 Purwosari Pasuruan and the steps. This study was carried out with a qualitative method and descriptive approach. To obtain the datas, the techniques used were: in-depth interviews, observations and documentation. This study indicated that the PjBL in Islamic Religious Education subject at SMKN 1 Purwosari Pasuruan consisted of three main steps: planning step, execution step, and evaluation step. There are six main aspects on project-based learning planning: (1) formulation of learning objectives; (2) students characteristics analysis; (3) learning strategies; (4) making worksheets; (5) designing the need for learning resources; and (6) developing evaluation tools. The implementation of the project-based learning in Islamic Religious Education subject at SMKN 1 Purwosari Pasuruan have met the standards set by the George Lucas Educational Foundation on implementing project-based learning. (1) starting with essential queries; (2) designing a project plan: (3) scheduling; (4) monitoring students and their project progress; (5) assessing learning results; and (6) reflection. At the level evaluation, there are three types of evaluations: formative assessment, summative assessment and diagnostic assessment, including project evaluation

PELATIHAN PENYUSUNAN PERANGKAT PEMBELAJARAN BERBASIS STEM BAGI GURU SDN 6 DESA TAPAK GEDUNG

The challenge in 4.0 era requires teachers as part of the society to have certain qualities such as able to prepare knowledgeable and skillful students in science, technology, engineering, and mathematics (STEM) subjects as STEM based learning is align with 2013 curriculum in Indonesia. At SDN 6 Tebat Karai, teachers' ability to develop STEM-based learning tools is still lacking, so training in making and developing learning tools is needed. This activity is a community service activity aimed at elementary teachers so that they can design, prepare, and produce a set of STEM-based teaching instruments and able to perform those instruments in a classroom. The community service activity was done in SDN 06 (state elementary school) of Tebat Karai Region, Kepahiang on 28-29th of July 2023. This activity was a training program followed by 15 elementary teachers of Tebat Karai. The training method used was technical assistance method in a workshop that consisted of training, guided practice, monitoring, and evaluation processes. The output of this activity was STEM-based lesson plan using project-based learning model that consist of 6 major learning activities which are: (1) introductory by giving essential questions; (2) project planning; (3) scheduling; (4) project progress monitoring; (5) student assessment; (6) learning experience evaluation. From the activities that have been carried out, the results obtained are an increase in teacher understanding of STEM-based learning tools with a difference in N-Gain value of 0.87 in the high category.

Tweets of Transformation: Investigating Tactical Urbanism and Social Interactions in Jeddah’s Colorful Corniche Initiative

This qualitative study aims to explore the applicability of Twitter as a valuable data source for research on public spaces, with a particular focus on public spaces within the context of Saudi Arabia. The study’s primary objective is to demonstrate Twitter’s efficiency in providing data that would otherwise require substantial time and resources using conventional research methods. Additionally, the study aims to highlight Twitter’s role in monitoring the progress and success of a local urban project. Furthermore, it examines how individuals utilize Twitter to share their experiences and interactions with public spaces, specifically examining content related to a local placemaking initiative in one of Saudi Arabia’s largest cities. To achieve this, a convenience sample of 113 consecutive tweets associated with the local initiative was collected from Twitter. The tweets were then subjected to a thorough thematic analysis framework, yielding three overarching themes: (1) Positive impact and community engagement; (2) Enhancement of the city’s visual landscape; and (3) Community collaboration through volunteer work. These categories provide a comprehensive framework to explore and comprehend the multifaceted dimensions of public space discourse on Twitter. The research presented in this study contributes significantly to the expanding body of knowledge concerning the utilization of social media data for urban research and offers valuable practical implications for planners, designers, and policymakers involved in the development and enhancement of public spaces.

Exploiting Big Data for Experiment Reporting: The Hi-Drive Collaborative Research Project Case.

As timely information about a project's state is key for management, we developed a data toolchain to support the monitoring of a project's progress. By extending the Measurify framework, which is dedicated to efficiently building measurement-rich applications on MongoDB, we were able to make the process of setting up the reporting tool just a matter of editing a couple of .json configuration files that specify the names and data format of the project's progress/performance indicators. Since the quantity of data to be provided at each reporting period is potentially overwhelming, some level of automation in the extraction of the indicator values is essential. To this end, it is important to make sure that most, if not all, of the quantities to be reported can be automatically extracted from the experiment data files actually used in the project. The originating use case for the toolchain is a collaborative research project on driving automation. As data representing the project's state, 330+ numerical indicators were identified. According to the project's pre-test experience, the tool is effective in supporting the preparation of periodic progress reports that extensively exploit the actual project data (i.e., obtained from the sensors-real or virtual-deployed for the project). While the presented use case concerns the automotive industry, we have taken care that the design choices (particularly, the definition of the resources exposed by the Application Programming Interfaces, APIs) abstract the requirements, with an aim to guarantee effectiveness in virtually any application context.

Wellness in Nursing Education to Promote Resilience and Reduce Burnout: Protocol for a Holistic Multidimensional Wellness Intervention and Longitudinal Research Study Design in Nursing Education.

The United States faces a nursing shortage driven by a burnout epidemic among nurses and nursing students. Nursing students are an integral population to fuel the nursing workforce at high risk of burnout and increased rates of perceived stress. The aim of this paper is to describe WellNurse, a holistic, interdisciplinary, multidimensional longitudinal research study that examines evidence-based interventions intended to reduce burnout and increase resilience among graduate and undergraduate nursing students. Graduate and undergraduate nursing students matriculated at a large public university in the northeastern United States are eligible to enroll in this ongoing, longitudinal cohort study beginning in March 2021. Participants complete a battery of health measurements twice each semester during the fourth week and the week before final examinations. The measures include the Perceived Stress Scale, the Satisfaction with Life Scale, the Oldenburg Burnout Inventory, the Brief Resilience Scale, and the Pittsburgh Sleep Quality Index. Participants are eligible to enroll in a variety of interventions, including mindfulness-based stress reduction, mindful eating, fitness training, and massage therapy. Those who enroll in specific, targeted interventions complete additional measures designed to target the aim of the intervention. All participants receive a free Fitbit device. Additional environmental changes are being implemented to further promote a culture that supports academic well-being, including recruiting a diverse student population through evidence-based holistic admissions, inclusive teaching design, targeted resilience and stress reduction workshops, and cultural shifts within classrooms and curricula. The study design protocol is registered at Open Science Framework (DOI 10.17605/OSF.IO/NCBPE). The project was funded on January 1, 2022. Data collection started in March 2022. A total of 267 participants have been recruited. Results will be published after each semester starting in December 2023. WellNurse evaluation follows the Rapid Cycle Quality Improvement framework to continuously monitor ongoing project processes, activity outcomes, and progress toward reducing burnout and increasing resilience. Rapid Cycle Quality Improvement promotes the ability to alter WellNurse interventions, examine multiple interventions, and test their effectiveness among the nursing education population to identify the most effective interventions. Academic nursing organizations must address student burnout risk and increase resilience to produce a future workforce that provides high-quality patient care to a diverse population. Findings from WellNurse will support evidence-based implementations for public baccalaureate and master's nursing programs in the United States. DERR1-10.2196/49020.

Revitalizing Native American Oral Histories at the University of Florida

Beginning in 2020, the George A. Smathers Libraries and the Samuel Proctor Oral History Program have partnered on a Doris Duke Charitable Foundation (DDCF)-funded project to revitalize a collection of over 1,000 legacy Native American oral history materials from the late 1960s to the 1970s. This article shares the project's progress and illustrates enduring considerations for working with Indigenous collections.

Geriatrics and geriatric aspects in the German coalition agreement of 2021

The proportion of older people in Germany is increasing. By the next federal election in 2025 the Federal Statistical Office of Germany expects that one third of the population will have reached retirement age. Older people are thus one of the largest voter groups and are particularly politically relevant. How does the federal government support the living conditions of this voter group? What are the plans of the federal government regarding medical care of older people? Acontent analysis of the coalition agreement was carried out with respect to aspects of demographic change, geriatric care and living conditions of older people. The coded text passages were categorized using amixed inductive-deductive approach. Finally, the implementation progress of concrete projects after 1.5years in office was evaluated. This study identified and categorized 23passages with just under 620 words (about 1% of the total text) in the coalition agreement. Of the passages nine were assigned to the topic older population, six passages to medical care and eight to nursing care. Of the 23passages 14contained concrete plans for action or target dates. In the first 1.5years of the federal government, partial progress could be identified in 4of these, while no projects were realized. Overall, the coalition agreement shows an awareness for an ageing population. In view of the demographic development, however, few solutions are proposed for genuine geriatric aspects. The first year in office was strongly influenced by other topics, which resulted in unplanned laws and regulations and projects from the coalition agreement faded into the background.

재건축사업구역 내 임대차관계에 대한 도시정비법의 규율과 법적 쟁점 검토

The text of Article 81, Paragraph 1 of the 「Urban and Residential Environment Improvement Act」 (provision for suspension of use and profit) suspends the right of use and profit of the lessee in the reconstruction project area until the date of notification of transfer when there is a notice of management and disposal plan approval. On April 23, 2020, the Constitutional Court decided that compensation for reconstruction tenants could be resolved by lease contracts with landlords, that is, private autonomy, and therefore, provision for the suspension of use and profit did not violate the proportional principle.
 According to private law regulations such as the Housing Lease Protection Act and related regulations of the Urban Improvement Act, the redevelopment and reconstruction project may be a reason for refusal to renew the lease contract, but it is interpreted that the landlord, the owner of the building, cannot terminate the lease unilaterally. For the rapid progress of the maintenance project, the lease contract needs to be terminated in the middle, but for this purpose, the lease contract must include a special contract for the expiration of the lease right and transfer of the lease, or the lease contract must be terminated by agreement.
 However, the suspension of use and profit clause suspends the tenant's right to use and benefit, regardless of whether the lease contract between the lessor and the lessee has been terminated by private autonomy. The reconstruction project is basically a private-led maintenance project and is not a project with strong public interest and publicity like the redevelopment project. Nevertheless, uniformly suspending the use and profit of tenants for the progress of the reconstruction project violates the principle of minimal infringement. Moreover, considering the characteristics of real estate leases, which are the basis for housing and livelihood, it would be said to violate the principle of balance of legal interests. For the benefit of the project operator, if the method of resolving the lease relationship through private autonomy is excluded and the lease right is forcibly lost, it is balanced to systematically stipulate compensation measures for the tenant.
 Compensation measures that must respond to complex and diverse lease relationships need to be flexible. The level of compensation does not have to be the same as the redevelopment tenant, and it can be adjusted.

재건축 안전진단 주거환경평가의 객관성 제고 방안 연구

Recently, major reconstruction complexes are accelerating their project progress as they have passed the long-awaited safety inspections due to the government's deregulation. As the ‘safety inspections’ regulation, which was an obstacle to the promotion of reconstruction projects, has been relaxed, more and more complexes are taking advantage of this opportunity to participate in reconstruction.
 The government came up with a plan to rationalize the safety inspections because the number of complexes that passed the safety inspections based on strict evaluation criteria decreased rapidly, reducing the supply of quality housing in the city center and deteriorating the residential environment. In particular, even if there are no serious problems with structural safety, reconstruction can be promoted in complexes with poor living conditions, such as insufficient parking spaces or excessive noise between floors.
 However, in order to improve the objectivity of the recently announced government reconstruction rationalization plan, the detailed fact-finding survey and quantitative evaluation items should be supplemented in the 'residential environment evaluation', in which the weight distribution was raised from 15% to 30%. In the case of conditional reconstruction through this, it is expected that there will be no room for controversy in the future.
 Based on this, 'revitalization of the reconstruction project' is expected, and at the same time, the government needs to strengthen education and consulting and conduct a fact-finding inspection to prevent indiscriminate safety inspections under the responsibility of private companies. In particular, it is expected that it will help private organizations improve their technical skills and reduce insolvency diagnoses through explanation of reconstruction safety inspection manuals and education that spreads cases of poor diagnosis for items with a high proportion of subjective evaluation items such as residential environment evaluation.

Transfer Learning-Based Object Detection Model for Steel Structure Bolt Fastening Inspection

As improper inspection of construction works can cause an increase in project costs and a decrease in project quality, construction inspection is considered a critical factor for project success. While traditional inspection tasks are still mainly labor-intensive and time-consuming, computer vision has the potential to revolutionize the construction inspection process by providing more efficient and effective ways to monitor the progress and quality of construction projects. However, previous studies have also indicated that the performance of vision-based site monitoring heavily relies on the volume of training data. To address the issues of challenging data collection at construction sites, this study developed models using transfer learning-based object detection models incorporating data augmentation and transfer learning. The performance of three object detection algorithms was compared based on average precision and inference time for detecting T/S bolt fastening of steel structure. Despite the limited training data available, the model’s performance was improved through data augmentation and transfer learning. The proposed inspection model can increase the efficiency of quality control works for building construction projects and the safety of inspectors.

Research on Full-Element and Multi-Time-Scale Modeling Method of BIM for Lean Construction

Building Information Modeling (BIM) is a very effective technology for supporting lean construction. However, the current application of BIM during the construction phase does not incorporate all necessary elements of the construction site in a comprehensive manner. Additionally, the depiction of the construction process lacks the desired level of detail. These limitations impede the application of BIM-based lean construction. In this paper, we propose a full-element and multi-time-scale modeling approach to BIM during the construction phase. Our method first establishes a full-element model by reconstructing the main body of the building based on construction subdivision dimensions, construction technology, and management objectives. We then create a three-dimensional model that includes a process elements model of circulating materials, temporary facilities, construction machinery, and surrounding environmental elements. The integrated model of these elements provides a comprehensive representation of BIM at any static time point. Second, we conduct multi-time-scale simulations based on the full-element model. Our approach divides the entire time, local time, and special time points into three scales to simulate project progress, local structure construction technology, and working conditions. A case study of the Daxing International Airport construction project verifies that our method can achieve lean management of construction resources. Full-element modeling provides a comprehensive BIM representation at any static time point, thereby supporting lean construction by improving construction resource management, reducing costs, and enhancing efficiency.

Design and Development of Web-Based Information System Order Monitoring System

PT. Sanityasa Anjaya Daniswara is a technology company operating as a software house in Solo. Efficient monitoring of project progress is essential for improving efficiency. Thus, a monitoring system that allocates programmers, details work, and summarizes progress is urgently required. This study applies the RAD (Rapid Application Development) method to design a monitoring system that meets the company's needs. The result is a development progress monitoring system that provides an overview of work status, ensuring credibility of information, and enhancing productivity and success in software development projects