derhan/semantic-scholar-manajemen-proyek huggingface dataset:
Protocol for a scoping review on misuse of psychoactive medicines and its consequences
Authors: A. Araújo; Rita João Casal; J. Goulão; A. Martins
Year: 2021

Introduction Misuse of psychoactive medicines, especially prescription opioids, but also benzodiazepines, hypnotics and sedatives, has become a significant public health issue in some countries, especially in the USA, where it has been extensively documented, as well as in Canada and Australia. However, in the European Union (EU) published literature on the topic is scarce and heterogeneous regarding definitions, sources of data, tools and methods of analysis. The aim of this scoping review is to map the key concepts on psychoactive medicines’ misuse and examine the existing body of evidence on this topic in the EU. Data on the possible consequences of medicines’ misuse—adverse drug reactions, poisonings, hospitalisations and deaths—will also be analysed. Methods and analysis The scoping review will follow the framework of Arksey and O’Malley, further developed by Levac et al and the Joanna Briggs Institute. The search strategy, developed by the authors, includes querying three electronic databases—PubMed, Web of Science and Scopus—using keywords and the Medical Subject Headings, for evidence published in English, French, Spanish or Portuguese between 2011 and 2020. Additionally, articles from PubMed alerts and other sources will also be considered. The results of the scoping review will describe the currently available evidence regarding misuse of medicines at EU level. Ethics and dissemination Since the scoping review methodology focuses on published data, this study does not require ethical approval. We will publish our findings in a peer-reviewed journal and plan to disseminate our work in conferences and scientific meetings. Registration details This scoping review protocol is registered in the Open Science Framework (OSF; see https://osf.io/fzr9u) and has also been shared as a preprint in this free and open-source project management repository. It is available at https://doi.org/10.31219/osf.io/y3s4q.
Best practices in project management: lessons learned in hospital construction.
Authors: Ronald K. Noble; A. Gill
Year: 2007

On time and under budget serve no purpose if the end product is not up to user specifications. Case in point is a recent construction project at Mississauga Ontario's Credit Valley Hospital, which was completed within the parameters of time and quality, was 10 million dollars under the budgeted cost and exceeded user expectations. Moreover, the result is a physical representation of the hospital's vision, mission and values.
Buffer estimation in the critical chain method by considering internal and external risks
Authors: H. Asgari
Year: 2022

: As a novel concept in project management, the critical chain method has attracted most researchers and project managers’ attention in recent years. In this research, the internal and external source of uncertainty is considered simultaneously during the buffer estimation process. In order to identify the external risks of the project, the failure mode and effect analysis technique has been used. Additionally, the lognormal distribution function is utilised for stimulating activities duration as internal risk resources. Considering internal and external risks in a project will bring the results closer to real-world results. Finally, a real case study is experimented with to illustrate the effectiveness of the proposed model. Numerical instances show that the suggested buffer estimation method can be better than the traditional cut and paste method in projects. Various organisations can use the results of this research and individuals and, at the same time, facilitate project management.
Analysis of Causes of Delays and Cost Overruns as Well as Mitigation Measures to Improve Profitability and Sustainability in Turnkey Industrial Projects
Authors: Antonio Héctor Álvarez-Pozo; Miguel Ignacio Parma-García; I. Ortiz-Marcos; Luis Fernando Bautista; E. Atanes-Sánchez
Year: 2024

Delays and cost overruns in turnkey projects can lead to significant economic losses, disputes and even project abandonment. These facts negatively impact the environmental, social and governance (ESG) policies of companies involved in the project. In this paper, a bibliographic review was conducted to identify the leading causes of delays and cost overruns in turnkey industrial projects in the refining, gas and conventional electricity generation (RGE) sector and propose good practices to avoid or mitigate them. We identified 893 causes of delays and cost overruns and 147 mitigation measures. The causes and mitigation measures were grouped into eight categories based on the execution phases of an RGE project. A critical analysis was carried out to avoid duplication, and the result was evaluated by experts in turnkey project management, reducing the causes and mitigation measures to a final set of 103 and 49, respectively. The construction category showed the most significant influence on project delays and cost overruns, and this, together with the preliminary phase and project management categories, contributed to 60% of the identified causes. The findings of this study can help project managers improve the profitability of turnkey industrial projects, promoting innovation and sustainability within companies and society.
Extremal Probability Bounds in Combinatorial Optimization
Authors: Divya Padmanabhan; S. Ahipaşaoğlu; Arjun Ramachandra; K. Natarajan
Year: 2021

In this paper, we compute the tightest possible bounds on the probability that the optimal value of a combinatorial optimization problem in maximization form with a random objective exceeds a given number, assuming only knowledge of the marginal distributions of the objective coefficient vector. The bounds are ``extremal'' since they are valid across all joint distributions with the given marginals. We analyze the complexity of computing the bounds assuming discrete marginals and identify instances when the bounds are computable in polynomial time. For compact 0/1 V-polytopes, we show that the tightest upper bound is weakly NP-hard to compute by providing a pseudopolynomial time algorithm. On the other hand, the tightest lower bound is shown to be strongly NP-hard to compute for compact 0/1 V-polytopes by restricting attention to Bernoulli random variables. For compact 0/1 H-polytopes, for the special case of PERT networks arising in project management, we show that the tightest upper bound is weakly NP-hard to compute by providing a pseudopolynomial time algorithm. The results in the paper complement existing results in the literature for computing the probability with independent random variables.
A Hybrid Framework for COSMIC Measurement: Combining Large Language Models with Rule-Based Systems
Authors: Safae Laqrichi
Year: 2024

Accurate Functional Size Measurement (FSM) is crucial for effective project management and resource allocation in software development. The COSMIC FSM provides a consistent and standardized method, allowing for objective comparisons and accurate estimation of effort. However, manual FSM is often time-consuming, error-prone, and subject to assumptions and human bias. Automating this process can greatly benefit organizations but introduces challenges associated with handling requirements expressed in Natural Language (NL). In this paper, we explore the integration of Large Language Models (LLM) with rule-based systems to enhance the automation of the COSMIC Function Point Measurement. Our hybrid framework combines the contextual understanding and adaptability of LLMs, such as GPT-4, with the precision and consistency of rule-based engines crucial for tasks requiring strict adherence to rules and regulations. This approach enables a more robust analysis, processing of NL requirements, and precise application of the COSMIC measurement method. The effectiveness and feasibility of this approach are demonstrated through a series of experiments conducted on COSMIC public case studies. Our results show a promising F1-score of 0.95 in identifying COSMIC key components using GPT-4, an F1-score of 0.97 in deducing data movements using the rule-based system, and a global error rate of only 6.6% in measuring COSMIC function points using the integrated framework. These results underscore the potential for more reliable and efficient system analysis through the synergistic capabilities of LLMs and rule-based systems.
Developing Teachers to Enhance Project Management Skills for Students
Authors: Chawalit Nukoonkan; Phrakru Dhammapissamai
Year: 2023

This study is an operation within the research project of “Teachers’ Development to Enhance Their Project Management Skills for Students,” which is also one of the projects in the research plan or research project series regarding 21st-century skills. This project arose from an awareness of the opportunities from the knowledge-based society, as well as from the present digital society, and has processed different views related to project management, which have been published globally via the internet by applying the Research and Development Methodology so that an educational innovation could be created in accordance with the concept of “Knowledge and Action are power.” The aim was to empower the teachers’ learning first and then to have them apply their learning outcomes to develop their students afterwards. Furthermore, it was believed that so long as teachers are stimulated and encouraged to apply their learning outcomes, then the teaching would become more efficient. As a result, an educational innovation called an “Online Self – Training Program for Developing Teachers to Enhance the Project Management Skills of Students” has been created. It was tested by the stakeholder teachers, who used the program, and was also tested through the process of experimental field research. Thus, it was determined to be efficient as it was hypothesized by showing the possibility of disseminating the program for the useful purpose of developing the teachers and then the students in the educational opportunity extension schools under the Office of the Basic Education Commission of the Ministry of Education, which is also the target population to whom the research results will be disseminated.
Methodology of project management of innovative development of small and medium-sized enterprises of the region
Authors: И.В. Романенко
Year: 2022

Представлены результаты исследования проблем инновационного развития малых и средних предприятий региона: 1) определены, на основе диаграмм Исикавы, ключевые проблемы; 2) сформирован вопросник; 3) проведено интервьюирование руководителей 50 предприятий, представляющих 10 отраслей; 4) выполнены семантический анализ и обработка нарративных суждений; 5) систематизированы результаты; 6) проведено 10 «круглых столов», сделаны выводы и подготовлены предложения, адресованные администрации региона.
 The results of the study of the problems of innovative development of small and medium-sized enterprises of the region are presented: 1) key problems were identified on the basis of Ishikawa diagrams; 2) a questionnaire was formed; 3) managers of 50 enterprises representing 10 industries were interviewed; 4) semantic analysis and processing of narrative judgments were performed; 5) results were systematized; 6) 10 "round tables" were held, conclusions were drawn and proposals addressed to the administration of the region were prepared.
A Multi-agent System for the Flexible Resource Constrained Project Scheduling
Authors: Jingjing Liu; Bing Wu
Year: 2007

The resource constrained project scheduling problem (RCPSP) is extended to flexible resource constrained project scheduling problem (FRCPSP) in this paper. Resources are assumed to have certain capabilities demanded by project activities, but not necessarily all of them. Resource capability matrix (RCM) is proposed to represent flexible resources. A multi-agent system composed of resource agent, activity agent, and service agent is put forward as an information infrastructure to support flexible resource constrained project management in a highly distributed environment. The definitions of component agents and the strategies of flexible resource allocation are discussed.
Evaluation on the application mode of blockchain technology in water transportation engineering project management
Authors: Liyu Lu
Year: 2023


 Due to the continuous development and application of blockchain technology, more and more industries are exploring its application in project management. In the management of water transportation engineering projects, blockchain technology also has certain application potential. This article will start with the characteristics of blockchain technology, and the current situation and needs of water transportation project management, analyze the application mode of blockchain technology in water transportation project management, and explore its advantages, limitations, and practical applications. The experimental results of this article showed that when blockchain technology was applied to the management of water transportation engineering projects, its information sharing score was 93; its data storage and management score was 96.1; its smart contract score was 97.4; its fund management score was 97.1; its Internet of Things technology score was 96.5, which was far higher than the score of applying traditional technologies. It was shown that using blockchain technology for water transportation engineering project management can improve the efficiency and quality of project management, reduce costs, and extend to a wider range of water transportation lines and project fields in the future.
Leveraging BIM Technology for Comprehensive Lifecycle Management in Engineering Projects
Authors: Ziyu Lu
Year: 2024


 This research explores the impact of Building Information Modeling (BIM) on engineering project lifecycle management. A mixed-methods approach, combining quantitative data from surveys and case studies with qualitative insights from interviews, reveals that BIM significantly reduces cost and time overruns. Specifically, projects using BIM showed an average cost overrun of 5% versus 15% in non-BIM projects and a time overrun of 7% compared to 20% in non-BIM projects. Additionally, BIM enhances quality management and improves collaboration among stakeholders, leading to more efficient project execution. The study concludes that BIM is crucial for enhancing efficiency, sustainability, and overall performance in engineering project management. However, adoption challenges, particularly in developing regions, highlight the need for further research and strategies to support broader implementation. BIM’s ability to optimize resources and support informed decision-making makes it a key tool for the future of construction management.
Ticketing System: A Descriptive Research on the Use of Ticketing System for Project Management and Issue Tracking in IT Companies
Authors: Kent Darryl Aglibar; Garret Christopher Alegre; Gerald Del Mundo; Kenny Francis Duro; Nelson Rodelas
Year: 2022

IT companies are popular in the present time as technology arises in the entire world. Incidents and Requests for either clients or company internal are hard to manually track as it is a day-to-day transaction. To keep all the logs, IT Companies are using a ticketing system to track all the records they are gathering. One of the most popular ticketing systems is the JIRA. Either the support team or company internal is benefitting from the use of JIRA as it easily documents all the different transactions and keeps track of different incidents and requests. One of the cons of JIRA is its limited features. The researchers conducted research where it aims to determine the effectiveness of JIRA as a ticketing system despite its limited features. The researchers used a descriptive method to analyze the pros and cons of this ticketing system. It is concluded that this JIRA Ticketing system is helpful for both support groups and internal members of the company as they track all the incidents and request tickets for their clients despite the limited features of JIRA. The researchers strongly recommend to venture out and try other analytic models and start with the ones mentioned in this study for a good foundation and idea. This is can provide the research a new set of results that can be useful to both established and startup companies.
A genetic algorithm approach to global optimization of software cost estimation by analogy
Authors: Dimitrios Milios; I. Stamelos; Christos Chatzibagias
Year: 2013

Estimation by Analogy is a popular method in the field of software cost estimation. However, the configuration of the method affects estimation accuracy, which has a great effect on project management decisions. This paper proposes an optimal global setup for determining empirically the best parameter configuration based on genetic algorithms. Those parameters involve the definition of project similarity, the number of analogies and the way of adjusting the analogies used. We describe how such a search can be performed in the parameter space spanned by these parameters, which are essentially of different type. We report results on two datasets and compare with approaches that explore partially the search space. Results provide evidence that our method produces similar or better accuracy figures with respect to other approaches.
Renal Critical Care Project Management of COVID-19 Pandemic Surge
Authors: Richard L. Barnett; Steven Fishbane; Mark A. Finger
Year: 2020

Background: The COVID-19 surge for the NY area severely stretched hospitall resources as critical care areas expanded 2-3 fold In addition to well chronicled ventilator management of respiratory failure, 37% sustained some degree of AKI with many requiring continuous renal replacement therapy (CRRT) The challenge of providing optimal renal critical care given unprecedented demand was met with a defined project plan which required close integration of physician, nursing, pharmacy and materials management resources over multiple hospital sites Methods: The Renal Critical Care Project Management Team (T) initially met on 3/11 and identified likely shortfalls in the quantity of Baxter Prisma machines for Long Island Jewish and contiguous Cohen Children's Hospital (LIJ 7), Southside Hospital(SSH 3) and NorthShore University Hospital (NSUH 18) 10 PrisMax and an additional 5 Prismaflex were delivered to NSUH and redeployed as required Alternative CRRT fluid supplies were defined as T precluded acute PD Spot shortages of machines, fluids and filter sets by 3/26 finalized the creation of multisite T with project manager selected from Central Procurement Detailed communication plan kept all components and sites informed of daily changes Results: During the Pandemic Peak 4/3-5/1 T met daily From 445-845 am Director of Renal Critical Care examined the electronic records from 74-92 COVID+ patients receiving CRRT, HD OR deemed likely to require RRT in the near future, and reviewed with each renal provider At 9am T examined supplies of machines, fluids and filter sets, requiring daily shift of resources among each site 4/3-4/24 Machines were redeployed SSH(6), LIJ(13) and NSUH(24) with 36 peak total daily usage Each patient averaged 13 five L/bags fluid daily which could be reduced by SCUF or other methods Pre COVID filter life of 22 hours declined by half in these hypercoagulable patients only partially offset by step wise anticoagulation strategy Fluid supplies during these 3 weeks averaged 1-2 days with low 0 25 on 4/22 A SLED program was initiated 4/21 FIVE day fluid and filter supplies were delivered 4/24 Conclusions: The magnitude of the COVID-19 surge required tight project management to ensure adequate renal critical care The ability to shift resources among multiple sites using CRRT was a major key to success This integrated approach may have application for future pandemic surges
Failure Matters: Conflicting Practices in a High-Tech Case
Authors: E. H. Pflugfelder
Year: 2018

Technical communication researchers have studied failure through a number of different case studies, though none more often than the space shuttle Challenger explosion. While scholars have offered several explanations in the intervening three decades, this work often treats the disaster as a failure of organizational communication, a failure of the material O-ring, or a failure of two discourse communities, engineers and managers, to engage in mutually comprehensible forms of meaningful deliberation. This essay hypothesizes that the real cause of failure was neither positivist nor social constructionist in nature, but discursive-material. I offer discussion of the Challenger case in order to frame a different study of project failure and show that complex technical projects fail for a number discursive-material reasons. Employing assumptions from actor–network theory and Barad’s theory of agential realism, this essay establishes a basis for how to read the Challenger disaster as one of competing and unresolved “conceptual structures of practice.” I then take this framework and apply it to a case study of a transportation project at a large, Midwestern research university. This project, the electric personal transportation vehicle, failed because competing structures of practice generated powerful actants that mattered in different ways. Insufficient project management activities also contributed to failure; the conclusion identifies concepts technical communicators can employ in establishing more effective project management strategies that work to resolve competing actants.
An innovative approach to post-graduate education in veterinary public health.
Authors: J. Toribio; H. Forsyth; R. Laxton; R. Whittington
Year: 2009

The past decade has seen a substantially increased need for animal health professionals who have advanced education in areas that impact on veterinary public health (VPH). The University of Sydney has made a significant contribution to the international capacity for training in this field by developing an online, distance program in Veterinary Public Health Management. This paper describes the distinctive characteristics of this program, which combines technical material in a range of units that influence VPH with leadership and project management. It then describes the educational model developed for delivery of its course material, including the four modalities that are structured to support engaged learning by busy animal health professionals who are working full-time (self-led, facilitator-led, peer-led, and assessment-led instructional approaches). Finally, having reflected on the efficacy of this model for post-graduate training in VPH, we discuss the progress of the program since its inception in 2002, reflecting on the challenges it has encountered and defining the factors that are critical to the success of this program.
Experiential Learning Approach for Software Engineering Courses
Authors: J. Gonzalez-Huerta; J. Molléri; Aivars Sablis; Ehsan Zabardast
Year: 2020

Background: Software project management activities help to introduce software process models in Software Engineering courses. However, these activities should be adequately aligned with the learning outcomes and support student's progression. Objective: Present and evaluate an approach to help students acquire theoretical and practical knowledge and experience real-world software projects' challenges. The approach combines a serious game and a design-implement task in which students develop a controlled-scale software system. Method: To evaluate our approach, we analyzed the students' perceptions collected through an online survey, their project plans, and their final reports using thematic analysis. Results: Results suggest that the approach promotes knowledge acquisition, enables students' progression, reinforces theoretical concepts, and is properly aligned with the course's learning outcomes. Conclusion: The approach seems to help to introduce software process models in Software Engineering courses. Our experience can also be inspiring for educators willing to apply our approach in similar courses.