Progress Of Project Research Articles

Dotting the i’s and crossing the t’s: Operationalising a teaching and learning community of practice

Social theories of learning propose that communities serve as vital building blocks for knowledge sharing and construction (Bandura, 1977; Cobb, 1994). In essence, learning thrives when individuals congregate in a community where they exchange tacit knowledge and expose areas of ignorance (Wenger et al., 2002). Nevertheless, the process of cultivating a community of practice is not necessarily straightforward, as it requires meticulous planning and decision-making. This instrumental case study seeks to explicate the formation and development of a teaching and learning community of practice (T&L CoP) at a research-intensive university in Hong Kong. More specifically, it explores how the structural model of the community of practice – domain, community, and practice – are applied and manifested. Multiple sources of documents, including a project proposal, a project website, a project progress report and archival records, were analysed using deductive thematic analysis. The results reveal that the T&L CoP is constitutive of an overarching domain of teaching and learning, within which ten special interest groups are formed. The T&L CoP also bring together 150 professoriate and professional staff from across eight faculties. The community facilitates knowledge exchange through periodic professional development workshops and materials as well as sharing sessions that highlight exemplary teaching practice. The study concludes by discussing three fundamental questions regarding the operationalisation of a CoP, in terms of expansion, retention, as well as sustainability, and argues that the T&L CoP helps cultivate members’ social capital through improved networks and visibility among the teaching and learning community.

Leveraging Artificial Intelligence for Enhanced Performance in Matrix Organizations: A Research Perspective

In today's complex business landscape, matrix organizations represent a prevalent structural framework characterized by overlapping reporting structures and cross-functional project teams. This organizational model, while offering flexibility and specialization, also presents unique challenges in resource allocation, decision-making, collaboration, and project management. This research paper investigates the potential of artificial intelligence (AI) to address these challenges and enhance the performance of matrix organizations. Drawing upon an extensive review of existing literature and relevant case studies, the paper provides a comprehensive analysis of AI's role in optimizing various aspects of matrix organization operations. Specifically, it examines how AI technologies can streamline resource allocation processes by analyzing project requirements, team capabilities, and individual skill sets to ensure optimal staffing levels and skill matching across projects. Additionally, the paper explores AI's capabilities in providing decision support to managers and team leaders by leveraging data analytics to offer insights into project progress, risk assessment, and performance evaluation.

EVALUATION OF TIME AND COST PERFORMANCE ON THE GX OFFICE & CO WORKING BALI PROJECT USING THE EARNED VALUE METHOD

In rapid construction developments, delays still occur frequently and have not been resolved, as experienced by the GX Office & Co Working Bali project. The project will be completed in 42 weeks, but in the 27th week, there is an indication of a delay of -4.31% from the initial plan. Earned Value Method (EVM) is a time and cost performance assessment method that can be used to develop strategies to minimize delays. This research aims to evaluate the time and cost performance of the GX Office & Co Working Bali project using the EVM method. A quantitative approach is used to collect and analyze project schedules, actual costs, and progress reports. EVM key indicators such as Planned Value (PV), Earned Value (EV), and Actual Cost (AC) are analyzed to determine Schedule Variance (SV), Cost Variance (CV), Schedule Performance Index (SPI), and Cost Performance Index (CPI). The results showed that the project experienced delays, especially from week 1 to week 14 and week 19 to week 27, with SPI values mostly below 1. However, the project showed increased efficiency in cost management with values CPI above one after week 14 to week 27, indicating that the actual costs incurred are lower than the value of the work completed. These findings highlight the need for corrective actions and more effective management strategies to address delays efficiently in terms of costs.

Analisis Faktor Keterlambatan Pekerjaan Konstruksi Drainase dengan Menggunakan Metode Kaiser Mayer Oklin (KMO)

This research aims to identify factors that cause delays in implementing the Urban Drainage project in Kepatihan Village, Bojonegoro Regency, using Regional Revenue and Expenditure Budget (APBD) funds. The research method used a population involved in drainage construction, using a saturated sampling technique with 39 respondents. Data collection used questionnaires for primary data and secondary data obtained from project schedules, cost budget plans and workforce data. Data analysis uses factor analysis, descriptive analysis, and cross tabulation analysis. Factor analysis uses the Kaiser Mayer Olkin Measure of Sampling Adequacy (KMO-MSA) method. The KMO test was carried out with a significance value from the Bartlett Sphericity Test of less than 0.05 to determine the suitability of the variables. The KMO-MSA process is carried out by calculating the Kaiser Mayer Olkin (KMO) value. The KMO value ranges between 0 and 1, where a higher value indicates a better match. Apart from that, Bartlett's Test of Sphericity was also carried out to test the significance of the relationship between variables. If the test results are significant (p < 0.05), then these variables are suitable for proceeding to further factor analysis. The results of the cross-tabulation analysis show that the labor variable (X2) is the main factor influencing delays in drainage construction projects, with a significance value (sig) < 0.05. Based on the results of the descriptive analysis, the labor factor indicator (X2) which is the factor that has the most significant influence on construction project delays, is the variable X2.1 in the form of labor availability with a mean of 5.67 and a percentage value of 5.12%. This suggests that a lack of labor can cause delays in project implementation, potentially affecting overall project progress and quality.

Implementasi Model Pembelajaran Project Based Learning (PJBL) dalam Meningkatkatkan Kreativitas Siswa pada Mata Pelajaran Bahasa Indonesia Kelas IV SD IT Al Fikri Islamic Green School

This research aims to find out how the implementation of the Project Based Learning (PJBL) learning model increases student creativity in Indonesian language subjects for class IV SD IT Al Fikri Islamic Green School. This research uses descriptive qualitative research methods which were carried out at SD IT Al Fikri Islamic Green School for the 2023/2024 academic year. The research was carried out through the opening stages of learning, planning projects and determining groups, preparing activity schedules, supervising the progress of projects and assessments. The research subjects were class IV of SD IT Al Fikri Islamic Green School, totaling 28 people. The research showed that teachers planned project based learning according to standards. module process Data was collected using sheets, knowledge tests, observation of student activities, documentation and interviews. The data collected was analyzed using qualitative descriptive analysis.The results of the research show that the Project Based Learning (PJBL) learning model can increase the creativity of fourth grade students at SD IT Al Fikri Islamic Green School in learning Indonesian as evidenced by the increase in student scores which are better than before.

Implementasi Project Based Learning dalam Pembelajaran Abad 21 pada Mata Kuliah Kesehatan Perempuan dan Perencanaan Keluarga

Education in Indonesia is experiencing development, students are required to compete in the era of industrial revolution 4.0 in the 21st century to be able to improve their abilities, namely collaboration, communication, creative and critical thinking and problem solving skills. So an effort is needed that can be applied to learning activities and one of them is through the application of the Project Based Learning learning model. This project-based learning is a learning strategy that empowers students to gain knowledge and understanding. The aim of this research is to increase student creativity through project-based learning to create teaching media to introduce the female reproductive organs and their functions. Classroom action research research design. The population of this research is all students taking women's health and family planning courses for the 2022-2023 academic year with a sample size of 13 odd semester (three) students. The data collection technique looks at activity during the lecture process and monitors the progress of projects carried out by students using observation assisted by instruments, namely written tests, performance tests and observation sheets. The results show an increase in learning outcomes in the category of students' thinking skills and creativity, which can be seen from the students' enthusiasm in completing the Teaching Aids for Introduction to Female Reproductive Organs project as well as presenting and publishing the results of their work. So it can be concluded that the application of the Project Based Learning (PjBL) learning model can improve the learning outcomes of thinking skills and creativity of students at the Tahirah Al Baeti Bulukumba Midwifery Academy for the 2022/2023 Academic Year.

The advancement of Industry 4.0 and the transformations in the labor market Closing gender gaps? Policies under debate

The writing aims to share the progress of a research project that analyzes three strategic economic sectors for Argentina's sustainable and inclusive development, such as the Science and Technology sector, the Popular Economy, and Industry 4.0. We will focus on the latter, one of the economy's most dynamic sectors and with great capacity for expansion and job creation. In dialogue with profound changes being carried out aimed at promoting gender equality, and in line with the presence of gender machinery at the highest state levels, we propose to account for the policies and actions being carried out at the National level, at the level of the Province of Buenos Aires, in Córdoba and Santa Fe, which seek to close inequality gaps in the sector. These provinces were selected based on having Women's Ministries where one of their objectives is to mainstream the gender perspective in state management. Along these lines, the programs and actions carried out by the aforementioned ministries will be presented, as well as those specific to the sector, typifying them based on what type of gender gap they are addressing. Whether it addresses labor segmentation or, on the other hand, addresses other issues linked to violence, care, participation and promotion, and income.

Mechanism analysis of rural residents' participation in green energy transition: A community-level case study in Nanjing, China

Achieving a transition to green energy requires the government to adopt new policies on green industrial products and energy. Throughout this process, rural residents often face various challenges due to economic and other factors. However, some rural residents are motivated to participate in this transition due to the economic benefits of energy usage and rooftop photovoltaic (PV). This study takes a rural community in the outskirts of Nanjing, China, as an example and applies Granovetter's embeddedness theory and a threshold model to analyze the factors influencing rural residents' engagement in a fair transition to green energy. Research hypotheses are proposed accordingly. The results indicate that rural residents are influenced by multiple factors in the adoption process of rooftop PV projects, primarily encompassing economic and trust-related aspects. From an economic perspective, rural residents evaluate the viability of rooftop PV systems by considering the marketing strategies employed by PV enterprises and the governmental pressure to reduce carbon emissions. They make rational calculations to determine the return on investment, and only when the economic threshold is surpassed will they reach the anticipated level of participation. From the perspective of trust, rural residents' participation in rooftop PV projects is also influenced by trust factors. The level of trust that rural residents have in rooftop PV enterprises, governments, and community organizations plays an important role in their willingness to participate in the green energy transition. Based on these findings, the research paper concludes that local government should continue providing tailored public information and services to facilitate the progress of rooftop PV projects.

A STUDY THE LIMITATIONS OF LEAN PRODCUTION CONTROL IN AUTOMOBILE INDUSTRIES AT PUNE ZONE

Lean Production Planning and Control is to be contrasted with project controls. His effectiveness of Lean Production Planning and Control is sometimes limited because of external factors, which are beyond the control of Production Manager. Sudden break-down or beak-out of war, government control, natural calamities, change in fashion, change in technology, etc.As explained, project controls have developed to become centralized functions to track project progress and identify deviations from plan and to forecast future progress, using metrics rooted in accounting principles.Thus, lean production control is some scientific procedure to regulate an orderly flow of material and co-ordinate various production operations to accomplish the objective of producing desired item. In right quantity of desired quality at the required time by the best and the cheapest method i.e., to attain highest efficiency in production.Alternately, production control is the function of management, which plans, directs and controls the material supply and processing activities of an enterprise; so that specified products are produced by specified methods to meet an approved sales programme. It ensures that the activities are carried in such a way that the available labour and capital are used in the best possible way.

Application of big data technology in the medical field

This project aims to construct a knowledge graph system applied to the field of traditional Chinese medicine (TCM) by extracting entities (such as drugs, diseases, etc.) and their relationships from TCM medical case data and storing them in a Neo4j database. The project process includes data reading, entity recognition and extraction, data formatting, and data import into the database. The project not only improved the individual's proficiency in Python data processing techniques (including regular expressions and JSON parsing) but also enhanced their skills in knowledge graph construction and database operations. In the future, there is a desire to further improve technical capabilities, explore more cutting-edge technologies in the TCM field, and promote project progress through collaboration, contributing to the modernization of TCM and intelligent healthcare services.

Feasibility and application of soil reconstruction technology for farmland consolidation in China's Loess Plateau

With the widespread implementation of farmland consolidation projects globally, the poor soil quality of newly created farmland (NCF) has become a significant bottleneck hindering the sustainable progress of such projects. Soil reconstruction technology (SRT), an innovative method to rapidly and effectively enhance the soil quality of NCF, has emerged as a prominent area of research in modern agricultural development. The Loess Plateau in China is highly susceptible to soil erosion and ecological degradation, making it a prime location for large-scale farmland consolidation efforts over the years. Investigating the practical feasibility and application potential of SRT can offer crucial technical insights for project implementation. This study conducted a field experiment in the Yangjuangou catchment of Yan’an City to explore the effects of soil mixing measures on soil properties and crop yield. Results indicated significant improvements in soil particle size distribution, physicochemical properties, and maize yield of NCF following soil reconstruction through the mixing of Malan Loess. Furthermore, the application of SRT demonstrated practical feasibility for farmland consolidation, leading to maximum crop yield and optimal ecological and economic benefits. The study also deliberated on the implications of farmland consolidation for land use policy and its contribution to sustainable agricultural development.

Efficient project management of historical building groups: a BIM-based approach with critical chain method and 5D simulation

This article introduces a project management method for historical building groups using BIM technology. Historical building group projects encompass the entire lifecycle, from design, repair and reconstruction to construction and maintenance. To efficiently manage these complex endeavors, the Critical Chain Method is employed to control project progress, enabling effective coordination between various project aspects and reducing project duration. By leveraging the BIM 5D platform, the article incorporates schedules, site layouts and bidding quotations to simulate the construction processes involved in historical building projects. This comprehensive approach facilitates real-time project management, supported by video documentation and virtual walkthroughs. The utilization of BIM technology in this context allows for the successful realization of project management objectives for historical building groups. The article’s methodology aims to address the specific challenges associated with historical building group projects, enhancing their overall efficiency, cost-effectiveness and coordination among various stakeholders.

Improving Accessibility to Outpatient Department Through Reduction of Third Next Available Appointment in Tertiary Hospital in Taif, Saudi Arabia

Background The Outpatient Department (OPD) of Al Hada Armed Forces Hospital - Taif Region (AHAFH) plays a critical role in providing specialized medical services to a diverse population in Taif region, Saudi Arabia. The hospital faces the challenge of ensuring timely access to a comprehensive array of 40 specialized services and subspecialties, supported by 120 rooms in the OPD. This article outlines a significant understanding of the patient flow process and queuing mechanism in the context of the OPD and the dynamics of supply and demand. Local Problem Our project was initiated during the last few weeks of fourth quarter 2020, which revealed a concerning trend of increasing the third next available appointment (TNAA), surpassing the optimal target of <14 days. Methods The study used pre-test and post-test monitoring of the TNAA. Patients’ categories of referral were identified as urgent and routine. We also established a referral and discharge criteria for each clinic specialty and reminder messages on patient appointments 24 hours and 48 hours prior to their actual appointment. Interventions The Plan-Do-Study-Act (PDSA) model for improvement was utilized to implement action plans and interventions to address the increase of TNAA (in days) in the OPD. Weekly huddles were conducted to monitor project progress, action plans, data, and challenges. Results During the intervention phase, notable changes were observed in the control chart, including shifts in TNAA mean decreasing from 9.4 days to 5.6 days after the implementation of four PDSA cycles. Moreover, the average TNAA in each quarter showed consistent reduction in TNAA, with an average of six days in Q1 2022. Conclusions The study sheds light on the complexity of managing the patient flow and access in an outpatient setting. By implementing effective strategies and continuous and vigilant monitoring of the outcomes, outpatient departments can strive to ensure that patients receive specialized care in a timely manner.

The impact of the new space economy on sustainability: an overview

The first overarching objective of the Space Agenda 2030 is to strengthen the role of the space sector as a major driver of sustainable development. To achieve this objective, the European Space Agency launched already 10+ years ago the ESA Business Applications Programme to foster the adoption of space technologies in non-space sectors, promoting the development of commercial satellite-based projects (i.e., projects developing business applications based on Earth Observation, Satcom and Navigation satellite technologies and data) and contributing to achieving Sustainable Development Goals (SDGs).While space technologies undeniably offer substantial societal benefits, there exists an opportunity to provide professionals and academics with a comprehensive perspective on the ongoing progress of commercial satellite-based projects in their vital role in advancing the achievement of Sustainable Development Goals (SDGs) and tackling Grand Challenges. Our research aims to clarify commercial satellite-based applications' direct and indirect impacts on SDGs and their features contributing to achieving them.We develop a taxonomy of the ESA Business Applications programme portfolio, analysing 603 commercial satellite-based applications developed between 2014 and 2022 across 34 variables (including SDGs directly or indirectly impacted), sourced from the program's web pages. We perform descriptive statistics and exploratory data analysis to present commercial satellite-based applications' direct or indirect impact on the 169 SDG targets. Finally, we describe the features of commercial satellite-based projects (e.g., geographical scope, satellite technology adopted, non-space domains of application) contributing to the SDGs' achievement.Our results show that 603 commercial satellite-based applications impact at least one SDG. Overall, SGD3 is the most impacted (136, 22 %), followed by SDG11 (105, 17 %) and SDG2 (78, 12 %). 257 Earth Observation-based applications mostly impact SDG2 (58, 23 %), SDG15 (38, 15 %) and SDG11 (34, 13 %). 230 Satellite Navigation-based applications mostly impact SDG3 (68, 30 %), SDG11 (52, 23 %) and SDG6 (22, 10 %). 116 Satellite communication-based applications mostly impact SDG3 (33, 28 %), SDG11 (16, 14 %) and SDG4 (15, 13 %). Moreover, we identify 14 application domains, and for each of them, we investigate their impact on SDGs. The application domains that mainly impact SDGs are Health (91, 16 %), Food and Agriculture (85,15 %), and Energy (51, 9 %).Our research demonstrates and strengthens the space sector's role as a major driver of sustainable development. Researchers may adopt the methodology in other contexts, overcoming the geographical and data accessibility limitations of our research.

UNIFIDE EMPLOYEE DATA TEAM TRCKER

Abstract : A Team Track: “Unified Employee Data” provides a thorough overview of important metrics, tasks, and insights pertinent to each individual’s function inside a business, acting as a centralized center for them. With the use of this digital technology, staff members can easily access critical information, improving productivity, efficiency, and transparency all around. Fundamentally, an employee dashboard compiles information from multiple sources—such as project management software, HR systems, and performance metrics—and presents it in an intuitive manner. Employees can monitor their progress, evaluate critical updates, and remain up to date on company-wide efforts thanks to this consolidation. With its many features and functionalities, the employment dashboard acts as a focal point for effective job matching and recruitment. The dashboard uses data analytics and state-of-the-art technology to give users real-time insights into market trends, demand signals, and talent assessments. This allows users to make well-informed decisions regarding their hiring strategies and career routes. The dashboard gives staff members the ability to efficiently manage their obligations by giving them access to training materials and project timetable tracking.Additionally, the employee dashboard encourages teamwork and communication. Through the provision of real-time project progress updates Yes, the following are some important details you should provide in an abstract regarding an employee dashboard: Overview: Give a succinct explanation of the purpose of an employee dashboard in contemporary work environments. Mention how it provides a consolidated platform where staff members may access a range of tools, services, and data pertaining to their jobs and companies. Features: Emphasize the key elements that are commonly present in an employee dashboard, such as customized employee profiles, task management tools, collaboration features, access to corporate announcements, HR papers, and payroll data. Benefits: Talk about how having an employee dashboard can lead to better decision-making through real-time data analytics, increased productivity through streamlined resource access, improved communication and transparency within the company, and enhanced employee engagement. Index Terms – Chatgpt, AI tool, Java script

EXPERIENCE AND PROSPECTS OF CHINA-UKRAINE ECONOMIC AND TRADE COOPERATION IN THE JOINT CONSTRUCTION OF THE BELT AND ROAD INITIATIVE FROM 2013 TO 2023

In 2013, China proposed the Belt and Road Initiative with the aim of closely integrating its rapidly developing economy with the economies of countries along the Belt and Road route, creating new opportunities for economic development through complementarity. Ukraine, located in the connecting zone between Europe and Asia, is an important country along the Belt and Road route leading to Europe. 2023 marks the tenth anniversary of China-Ukraine cooperation in the Belt and Road Initiative. Over the past decade, cooperation between China and Ukraine in various fields such as trade and investment has deepened, accumulating rich experience. This article systematically reviews the historical process of China-Ukraine cooperation in the Belt and Road Initiative over the past ten years, analyzes the development trends of bilateral trade, and examines the experience accumulated in areas such as infrastructure, agriculture, investment, mineral development, and high-tech cooperation within the Belt and Road framework. The challenges faced by the two countries in jointly building the Belt and Road Initiative are also analyzed, mainly focusing on the impacts of Ukraine's domestic political instability and policy changes during regime transitions. Economic development in Ukraine has been affected by geopolitical conflicts, resulting in market instability and affecting investment and project progress. These factors pose challenges to the Belt and Road Initiative, particularly the severe impact of the outbreak of war. Additionally, this article introduces the current efforts of China and Ukraine to strengthen communication and cooperation in order to achieve a peaceful resolution as soon as possible. In the future, once the ongoing war comes to an end, both countries can leverage their ten years of experience in economic and trade cooperation. With a stable political situation and increasing market attractiveness in Ukraine, both sides can fully unleash the role of market entities, expand bilateral cooperation, promote the alignment of their economic development strategies, and actively engage in post-war reconstruction cooperation.

Implementing Improved YOLOv5s for Immediate Identification of Helmetless Forklift Drivers

Implementing Improved YOLOv5s for Immediate Identification of Helmetless Forklift Drivers

Construction Planning and Scheduling of Residential Buildings Using Primavera

Abstract: For the successful completion of a project, planning and scheduling are two most important factors. The demand of the construction industry requires precise planning, scheduling, and management which can allow the overall optimization of cost, time, and resources. Due to the increase in workloads and shrinking resources public work department found new technology that helps to manage the project easily. Project management software is used as a tool for managing and organizing work which helps industries to grow rapidly. There are so many computer software are available in market now a days which is such as MSP, Primavera p6,etc…for doing project management. With the help for these software proper planning and controlling of project can be done. Primavera can easily compare the planned progress of construction work and the actual progress of the construction project. Project management software Primavera P6, includes collecting, recording, monitoring, controlling, and reporting information concerning project performance. In this study, project controlling and monitoring can be done and the causes of delays can be found.

Estimated Cost And Time For Completion Of The Bali GX Office And Co Working Project Using The Earned Value Method

The GX Office & Co Working Bali construction project faced significant delays in the 27th week with a deviation of -4.31%, which could result in increased costs and delays in completion. So, an effective solution is needed to overcome project delays and ensure that the project is completed on time and within budget. This research aims to examine the application of the Earned Value Method (EVM) in evaluating the performance of the GX Office & Co Working Bali project by calculating the Estimated Temporary Schedule (ETS), Estimated All Schedule (EAS), Estimate Temporary Cost (ETC) and Estimate All Completion (EAC). The research uses descriptive quantitative methods by collecting data from weekly project progress reports, actual costs, and planned values. Data analysis was carried out by calculating Planned Value (PV), Earned Value (EV), Actual Cost (AC), Cost Performance Index (CPI), Schedule Performance Index (SPI), ETS, EAS, ETC, and EAC. The research results show an ETS value of 114 days with an EAS of 303 days. So, there is an additional time of 9 days from the planned schedule. ETC results amounted to IDR 3,723,631,710.12, with EAC amounting to IDR 7,699,818,710.12. So, the cost of completing the project is lower than planned, with a difference of IDR 2,545,727,760.88. The results of this research contribute to the project management literature by showing the effectiveness of EVM in identifying deviations and the basis for making strategic policies needed so that projects can be completed on time according to plan.

Influence of Empirical and Dynamic Periods on the Seismic Responses of Reinforced Concrete Buildings Braced by L-Shaped Shear Walls

The Algerian Seismic Regulation of 1999, version 2003 (RPA99/v2003), presents ambiguities and a lack of thorough explanations in certain articles, which has led to a diversity of readings and interpretations among various stakeholders in the field, particularly the control offices. This situation has caused significant disagreements, especially during the approval of civil engineering files, thus resulting in a negative impact on project progress. To ensure adequate seismic protection of civil engineering structures, this work aims to unify the interpretations of certain passages of the regulation, with a particular emphasis on verifying the fundamental period of the structure, the shear forces at the base, and inter-story displacements using seismic calculation methods prescribed by the RPA. The comparative study demonstrates that no correlation between the period determined by the equivalent static method and that calculated by the spectral modal analysis method has been observed. This justifies the conclusion that adjusting between the empirical period and the dynamic period is not necessary.