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Journal articles on the topic 'Case-based scenarios'

Author: Grafiati

Published: 2 June 2025

Last updated: 31 July 2025

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1

Stejskal, Jan. "Scenario-based Planning of State Material Reserves: Case Study of Latvia." Vojenské rozhledy 30, no. 4 (2021): 74–92. http://dx.doi.org/10.3849/2336-2995.30.2021.04.074-092.

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The article deals with the issue of identifying required material reserves, also referred to as strategic or emergency reserves. These reserves are managed by state authority as part of national crisis preparedness. The article explores how scenarios can be used as a method for planning, i.e. determining adequate, realistic, and affordable material reserves. A scenario-based analysis, well proven in the defence planning domain, is identified as a method offering a high degree of analytical rigor and traceability of resulting requirements. Selected planning scenarios clearly must reflect nation

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Butt, Mohsin, Kabir Matwala, and Rakin Rownak Choudhury. "Case-based simulation scenarios in cardiology." Advances in Medical Education and Practice Volume 9 (November 2018): 819–21. http://dx.doi.org/10.2147/amep.s186858.

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MacDonald, Janet. "Develop case-based tasks and scenarios." Education for Primary Care 26, no. 3 (2015): 207–8. http://dx.doi.org/10.1080/14739879.2015.11494341.

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Ward, Robert. "Active, collaborative and case-based learning with computer-based case scenarios." Computers & Education 30, no. 1-2 (1998): 103–10. http://dx.doi.org/10.1016/s0360-1315(97)00085-7.

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Kuijper, Steven, Marieke Pape, Pauline A. J. Vissers, et al. "Survival expressed in best-case, typical and worst-case scenarios for patients with nonmetastatic esophagogastric cancer: A population-based study." Journal of Clinical Oncology 40, no. 4_suppl (2022): 259. http://dx.doi.org/10.1200/jco.2022.40.4_suppl.259.

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259 Background: In recent years new treatment options and the centralization of surgery have improved survival for patients with non-metastatic esophageal and gastric cancer. However, it is currently unknown which patients have mostly benefitted from these treatment advances. The aim of this study was to use population-based data to identify best-case, typical and worst-case scenarios in terms of survival time, and to assess if the survival of these scenarios have changed over time. Methods: Patients diagnosed between 2006-2019 with non-metastatic esophageal (including gastro-esophageal juncti

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V.H, Dr HEMA, Mrs JENIFAR MONISHA.A, Mrs KALPANA R, and Mrs ANITHA G. "TELEPHONIC COMMUNICATION: A CASE STUDY ON SCENARIO-BASED TRAINING." Cuestiones de Fisioterapia 54, no. 4 (2025): 6083–93. https://doi.org/10.48047/5y8kgk05.

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Effective communication is vital to nursing, especially in healthcare settings where telephonicinteraction frequently functions as an essential instrument for emergency consultations, patient updates,and inter-professional exchanges. This case study examines a scenario-based training method designedto improve telephonic communication skills in final-year Bachelor of Science in Nursing (BSc Nursing)students. The training simulation replicated authentic healthcare scenarios, encompassing emergencyreporting, patient transfer coordination, and interactions with professionals, inside a controlled,i

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Abitabile, Carla, Andrea Arzeni, Federica Cisilino, and Matteo Orlando. "Building sustainable futures: the bio-based fertilizer case-study." Bio-based and Applied Economics 14, no. 1 (2024): 3–17. https://doi.org/10.36253/bae-15786.

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Bio-based fertilizers (BBFs) can be a solution for converting agricultural waste into new products useful for increasing organic matter in the soil, thus reducing the consumption of mineral fertilizers. This can contribute to the ecological transition launched by the European Commission for the coming decades. Scenario analysis is an effective tool to assess the factors that can affect the development of the agri-food supply chain, evaluating the effects of their possible evolutions. The aim of this work is to draw plausible future scenarios for the BBF supply chain and to strengthen the consi

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Crosnoe-Shipley, Lindsey E. "Treatment of hypogonadotropic male hypogonadism: Case-based scenarios." World Journal of Nephrology 4, no. 2 (2015): 245. http://dx.doi.org/10.5527/wjn.v4.i2.245.

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Luo, Yushu, Yuan Zhou, Bei Li, Pengyao Li, Li Zhang, and Shunbin Ning. "Constructing a Future Green Space Ecological Network Based on Multi-Scenario Urban Expansion: A Case Study of Chengdu, Sichuan, China." Forests 15, no. 10 (2024): 1818. http://dx.doi.org/10.3390/f15101818.

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As urban spaces expand, changes in land use significantly affect the structure and function of urban ecosystems, particularly with challenges such as green space reduction and uneven distribution. This study focused on the central urban area of Chengdu, China, simulating and forecasting various urban development scenarios for 2035, including cultivated land protection (CP), economic development (ED), ecological priority (EP), and natural development (ND). The construction of green space ecological networks followed a systematic process, incorporating key methods such as ecological source ident

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Qian, Xinbo, Qiuhua Tang, and Bo Tao. "A Novel Scenario Reduction Method by 3D-Outputs Clustering for Condition-Based Maintenance Optimization." International Journal of Reliability, Quality and Safety Engineering 24, no. 04 (2017): 1750018. http://dx.doi.org/10.1142/s0218539317500188.

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Condition-based maintenance (CBM) optimization involves considering inherent uncertainties and external uncertainties. Since computational complexity increases exponentially with the number of degradation uncertainties and stages, scenario reduction aims to select small set of typical scenarios which can maintain the probability distributions of outputs of possible scenarios. A novel scenario reduction method, 3D-outputs-clustering scenario reduction (3DOCS), is presented by considering the impacts of uncertainty parameters on the output performance for CBM optimization which have been overloo

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Nava, S., Z. Chalabi, S. Bell, and E. Burman. "A Community-based Whole Life Carbon Assessment: Case study of a London estate community plan." Journal of Physics: Conference Series 2600, no. 15 (2023): 152020. http://dx.doi.org/10.1088/1742-6596/2600/15/152020.

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Abstract In the attempt to adhere to the UK’s 2050 Net-Zero Strategy, more attention has been given to energy-centric decision-making over the regeneration of housing estates. Whole Life Carbon Assessment (WLCA) is the methodology used for the evaluation of the overall carbon dioxide equivalent (CO2e) emissions of building projects over their lifecycle. The WLCA studies are mostly not understood by different stakeholders and are less effective in reducing the Global Warming Potential (GWP) impacts in the development of regeneration scenarios. This paper is part of a larger study on a multistak

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Elcokany, Nermine M., Amal Ismael Abdelhafez, Vivian Magdi Samuel Sharaby, and Safia Belal. "Use of Computer-Based Scenarios for Clinical Teaching: Impact on Nursing Students’ Decision-Making Skills." Healthcare 9, no. 9 (2021): 1228. http://dx.doi.org/10.3390/healthcare9091228.

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Computer-based learning has numerous advantages. It gives students the chance to accommodate and solve problems independently, it can increase motivation during the learning process, and it offers students direct feedback. Students will also receive an authentic learning experience, increasing their level of knowledge retention. It can assist nursing educators in improving learning outcomes. Aim: This study aimed to investigate and evaluate the impact of computer-based scenarios on undergraduate nursing students’ decision-making skills. Sample: There was a total sample of 112 nursing students

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Li, Ning, Lingshan Chen, and Yongchao Huang. "Research on Specific Scenario Generation Methods for Autonomous Driving Simulation Tests." World Electric Vehicle Journal 15, no. 1 (2023): 2. http://dx.doi.org/10.3390/wevj15010002.

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In this paper, we propose a method for the generation of simulated test scenarios for autonomous driving. Based on the requirements of standard regulatory test scenarios, we can generate virtually simulated scenarios and functional scenario libraries for autonomous driving, which can be used for the simulated verification of different ADAS functions. Firstly, the operational design domain (ODD) of a functional scenario is selected, and the weight values of the ODD elements are calculated. Then, a combination test algorithm based on parameter weights is improved to generate virtually simulated

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Xu, Hui, Junlong Gao, Xinchun Yu, Qianqian Qin, Shiqiang Du, and Jiahong Wen. "Assessment of Rainstorm Waterlogging Disaster Risk in Rapidly Urbanizing Areas Based on Land Use Scenario Simulation: A Case Study of Jiangqiao Town in Shanghai, China." Land 13, no. 7 (2024): 1088. http://dx.doi.org/10.3390/land13071088.

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The impact of flooding on cities is becoming increasingly significant in the context of climate change and rapid urbanization. Based on the analysis of the land use changes and rainstorm waterlogging inundation scenarios of Jiangqiao Town from 1980 to 2020, a scenario analysis was conducted to simulate and assess the rainstorm waterlogging disaster risk in 2040 under three land use scenarios (a natural development scenario, Scenario ND; an economic growth scenario, Scenario EG; and an ecological development priority scenario, Scenario EP) and three rainstorm scenarios with return periods of 10

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Della Penna, Giuseppe, Benedetto Intrigila, Anna Rita Laurenzi, and Sergio Orefice. "An XML Definition Language to Support Scenario-Based Requirements Engineering." International Journal of Software Engineering and Knowledge Engineering 13, no. 03 (2003): 237–56. http://dx.doi.org/10.1142/s0218194003001299.

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Scenarios are a new way of representing knowledge that has been attracting a lot of attention from practitioners and researchers. In this paper we present the SDML formalism, an XML definition language to support scenario-based requirements engineering. The definition of scenarios through SDML enables to exploit the emerging XML technologies in order to offer powerful ways to create, maintain, distribute and use scenarios. Moreover, we are experimenting the SDML language on a variety of practical case studies.

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ZOLFANI, Sarfaraz HASHEMKHANI, and Reza MAKNOON. "MULTIPLE ATTRIBUTE DECISION MAKING (MADM) BASED SCENARIOS." International Journal of Strategic Property Management 20, no. 1 (2016): 101–11. http://dx.doi.org/10.3846/1648715x.2015.1132487.

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Decision making takes into account a myriad of factors about the future topics, which often prove challenging and quite complicated. Multiple Attribute Decision-Making (MADM) methods still have not become powerful enough to help decision makers to adopt the best solutions regarding future issues. Different scenarios are suitable for developing an appropriate outlook toward different probable futures. Scenarios are not inherently quantitative, but recently different integrated quantitative methods have been incorporated with the processes in various studies. Previously, different types of scena

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Luo, Lei. "Approach to the Management of Warfare Simulation Scenarios Based on Ontology and CBR." Advanced Materials Research 1049-1050 (October 2014): 2105–13. http://dx.doi.org/10.4028/www.scientific.net/amr.1049-1050.2105.

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Warfare simulation scenarios will play a vital role in helping commanders to make decisions, nowadays. However, one warfare simulation scenario usually includes lots of various information with complicated relations and is not so easy to form. Thus, this paper focuses on the presentation of a basic framework of the storage of warfare simulation scenarios, and also the improvement of management capability of them based on the methods of ontology and CBR. Through researching the process of joint air defense warfare, the paper constructed the warfare scenario ontology in that domain based on the

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Handiani, Dian Noor, and Ditto Purnomo. "Evaluation of Floods Susceptibility Models Based on Different Pairwise Parameters in the Analytical Hierarchy Process: Case Study Cilemer and Ciliman Watersheds." Jurnal Pengelolaan Sumberdaya Alam dan Lingkungan (Journal of Natural Resources and Environmental Management) 14, no. 4 (2024): 684. http://dx.doi.org/10.29244/jpsl.14.4.684.

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This study investigated flood vulnerability in the Ciliman and Cilemer Watersheds, situated in Banten Province, and employs a spatial multi-criteria-integrated approach, with a specific focus on the Analytical Hierarchy Process (AHP). Two distinct scenarios, which have different parameter priority, were compared: one based on expert judgment for pairwise parameter comparisons (scenario-1) and the other derived from historical flood occurrences in high and very high vulnerability areas (scenario-2). Seven parameters, including elevation, slope, precipitation, geologic, soil type, land use, and

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Sheng, Yang, Jiahan Zhang, Chunhao Wang, Fang-Fang Yin, Q. Jackie Wu, and Yaorong Ge. "Incorporating Case-Based Reasoning for Radiation Therapy Knowledge Modeling: A Pelvic Case Study." Technology in Cancer Research & Treatment 18 (January 1, 2019): 153303381987478. http://dx.doi.org/10.1177/1533033819874788.

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Knowledge models in radiotherapy capture the relation between patient anatomy and dosimetry to provide treatment planning guidance. When treatment schemes evolve, existing models struggle to predict accurately. We propose a case-based reasoning framework designed to handle novel anatomies that are of same type but vary beyond original training samples. A total of 105 pelvic intensity-modulated radiotherapy cases were analyzed. Eighty cases were prostate cases while the other 25 were prostate-plus-lymph-node cases. We simulated 4 scenarios: Scarce scenario, Semiscarce scenario, Semiample scenar

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Forson, Eric Dominic, Prince Ofori Amponsah, David Dotse Wemegah, and Michael Darko Ahwireng. "Random forest-based mineral prospectivity modelling over the Southern Kibi–Winneba belt of Ghana using geophysical and remote sensing techniques." Applied Earth Science: Transactions of the Institutions of Mining and Metallurgy 133, no. 1 (2024): 30–45. http://dx.doi.org/10.1177/25726838231225055.

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This study determines which predictors derived from geophysics or remote sensing data best generate a mineral prospectivity model (MPM) over Ghana's southern Kibi-Winneba belt in a scenario-based modeling case using Random Forest (RF) algorithm. Ten geophysically-derived predictors and six-remote sensing derived predictors were used as inputs in the first and second scenarios respectively. In the third case, the sixteen predictors derived from these afore-mentioned geoscientific datasets were used as inputs. Thus, three binary RF-based MPM were generated, and compared accordingly. The predicti

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Raulf, Christian, Moritz Proff, Tobias Huth, and Thomas Vietor. "An Approach to Complement Model-Based Vehicle Development by Implementing Future Scenarios." World Electric Vehicle Journal 12, no. 3 (2021): 97. http://dx.doi.org/10.3390/wevj12030097.

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Today, vehicle development is already in a process of substantial transformation. Mobility trends can be derived from global megatrends and have a significant influence on the requirements of the developed vehicles. The sociological, technological, economic, ecological, and political developments can be determined by using the scenario technique. The results are recorded in the form of differently shaped scenarios; however, they are mainly document-based. In order to ensure a holistic approach in the sense of model-based systems engineering and to be able to trace the interrelationships of the

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Alsubhi, Yazeed, Salman Qureshi, and Muhammad Haroon Siddiqui. "A New Risk-Based Method in Decision Making to Create Dust Sources Maps: A Case Study of Saudi Arabia." Remote Sensing 15, no. 21 (2023): 5193. http://dx.doi.org/10.3390/rs15215193.

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Dust storms are one of the major causes of the destruction of natural ecosystems and human infrastructure worldwide. Therefore, the identification and mapping of susceptible regions to dust storm formation (SRDSFs) is of great importance. Determining SRDSFs by considering the concept of risk in the decision-making process and the kind of manager’s attitude and planning can be very valuable in dedicating financial resources and time to identifying and controlling the negative impacts of SRDSFs. The purpose of this study was to present a new risk-based method in decision making to create SRDSF m

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Neale, Dennis C., and Jonathan K. Kies. "Scenario-Based Design for Human-Computer Interface Development." Proceedings of the Human Factors and Ergonomics Society Annual Meeting 40, no. 6 (1996): 338–42. http://dx.doi.org/10.1177/154193129604000604.

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Scenario-based techniques have been receiving increased attention in the design of human-computer interaction. A cohesive methodology or framework, however, has yet to materialize, and scenario methods have not been well defined. Claims are being made about the ability of scenarios to play a role throughout the development life cycle. The objective of this paper is to examine the ability of scenarios to serve as the primary design representations early in the system design life cycle for envisioning the system, requirements specification, user-designer communication, and design rationale. Thes

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Okhlopkov, G. N. "Applying projections of gross regional product to determine the possible extent of economic damage under various case scenarios of the coronavirus epidemic impact on the region's economy." Regional Economics: Theory and Practice 18, no. 9 (2020): 1771–86. http://dx.doi.org/10.24891/re.18.9.1771.

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Subject. This article explores the issues related to the system of indicators of forecasting of gross regional product and their relationship. Objectives. The article aims to obtain projections of the extent of economic damage of the coronavirus epidemic impact on the region's economy in various case scenarios, based on scenario projections of gross regional product. Methods. For the study, I used the techniques of mathematical modeling in economics. Results. The article presents forecast estimates of the gross regional product of the Republic of Sakha (Yakutia) for 2018–2020 by an inertial sc

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Zhao, Lesong, Guangsheng Liu, Chunlong Xian, et al. "Simulation of Land Use Pattern Based on Land Ecological Security: A Case Study of Guangzhou, China." International Journal of Environmental Research and Public Health 19, no. 15 (2022): 9281. http://dx.doi.org/10.3390/ijerph19159281.

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The process of rapid urbanization has intensified the conversion of different land use types, resulting in a substantial loss of ecological land and ecological security being threatened. In the context of China’s vigorous advocacy of an ecological civilization, it is important to explore future land use patterns under ecological security constraints to promote sustainable development. The insufficient consideration of land ecological security in existing land use pattern simulation studies makes it difficult to effectively promote improvement in the ecological security level. Therefore, we dev

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Huang, Kui, Wen Nie, and Nianxue Luo. "Scenario-Based Marine Oil Spill Emergency Response Using Hybrid Deep Reinforcement Learning and Case-Based Reasoning." Applied Sciences 10, no. 15 (2020): 5269. http://dx.doi.org/10.3390/app10155269.

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Case-based reasoning (CBR) systems often provide a basis for decision makers to make management decisions in disaster prevention and emergency response. For decades, many CBR systems have been implemented by using expert knowledge schemes to build indexes for case identification from a case library of situations and to explore the relations among cases. However, a knowledge elicitation bottleneck occurs for many knowledge-based CBR applications because expert reasoning is difficult to precisely explain. To solve these problems, this paper proposes a method using only knowledge to recognize mar

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Pratomo, Danar Guruh, Rizka Amelia Dwi Safira, and Olivia Stefani. "A COMPARISON OF DIFFERENT GIS-BASED INTERPOLATION METHODS FOR BATHYMETRIC DATA: CASE STUDY OF BAWEAN ISLAND, EAST JAVA." Geodesy and cartography 49, no. 4 (2023): 186–94. http://dx.doi.org/10.3846/gac.2023.18250.

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The bottom surface’s portrayal is crucial in many different practices. Therefore, accurate bathymetry data is required. The interpolation method is one element that influences the accuracy of a Single Beam Echosounder’s depth data. IDW, Kriging, and TIN are three standard interpolation techniques. This study compares these three methods with two scenarios utilizing the spatial analysis to establish the most effective technique for producing the digital elevation model of the seafloor beneath Bawean Island. The IDW exhibits the strongest R-squared (0.9998779 in Scenario-1 and 0.9999875 in Scena

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Lee, Jae-Kyoung, and Young-Oh Kim. "Selection of representative GCM scenarios preserving uncertainties." Journal of Water and Climate Change 8, no. 4 (2017): 641–51. http://dx.doi.org/10.2166/wcc.2017.101.

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Abstract Climate change studies usually include the use of many projections, and selecting an essential number of projections is very important, because using all Global Climate Model (GCM) scenarios is impossible in practice. Furthermore, the climate change impact assessment is often sensitive to the choice of GCM scenarios. This study suggests that selecting the best-performing scenarios based on a historical period should be avoided in nonstationary cases like climate change, and then proposes a new approach that can preserve the uncertainty, that all scenarios contain. The new approach gro

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Marc, Brigita, Eva Dolenc, and Damjan Slabe. "Simulation-based first aid training of students of health sciences." SHS Web of Conferences 48 (2018): 01042. http://dx.doi.org/10.1051/shsconf/20184801042.

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To achieve desired goals in the first aid training, we can use different learning methods. We can choose simulation, which represents one of the active forms of learning. Within the simulations, we can select simulated scenarios to bring more reality into the learning process. With our research we wanted to evaluate the effectiveness of scenario-based first aid training. We included 65 students of Faculty of Health Sciences, University of Ljubljana. The experimental group was unlike the control group exposed to scenario-based learning during one-week first aid training. We collected the data w

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Elmsalmi, Manel, Wafik Hachicha, and Awad M. Aljuaid. "Modeling Sustainable Risks Mitigation Strategies Using a Morphological Analysis-Based Approach: A Real Case Study." Sustainability 13, no. 21 (2021): 12210. http://dx.doi.org/10.3390/su132112210.

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The supply chain risk management (SCRM) is very critical to strategically support the firms to continuous success. There are, at least, three basic steps in this SCRM process: risk identification, risk evaluation, and risk mitigation (treatment). Whatever happens, the main step is risk mitigation (RM) and mainly sustainable RM. In fact, every risk must be eliminated or controlled as much as possible. The purpose of this paper is to elaborate and evaluate various RM scenarios from an initial risk identification and prioritization solution. The proposed scenario modeling technique is based on mo

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Shi, Ge, Yutong Wang, Jingran Zhang, et al. "Spatiotemporal Pattern Analysis and Prediction of Carbon Storage Based on Land Use and Cover Change: A Case Study of Jiangsu Coastal Cities in China." Land 13, no. 11 (2024): 1728. http://dx.doi.org/10.3390/land13111728.

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Accurate estimation of terrestrial ecosystem carbon storage and the scientific formulation of ecological conservation and land use policies are essential for promoting regional low-carbon sustainable development and achieving the goal of “carbon neutrality.” In this study, the FLUS–InVEST model was used to evaluate the carbon stocks of the Jiangsu coastal zone in China from 1995 to 2020 and scientifically forecast the changes in carbon stocks in 2030 under three scenarios: natural exploitation, ecological protection, and economic development. The results are as follows: (1) From 1995 to 2020,

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Marcellin, Megan C., Gigi Pavur, John J. Cardenas, et al. "Risk and Systems Analysis for Renewable Power Generation with Environmental and Other Stressors." INCOSE International Symposium 34, no. 1 (2024): 631–48. http://dx.doi.org/10.1002/iis2.13167.

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AbstractThe effects of climate change and water scarcity threaten the stability of critical infrastructure systems in developing regions. In particular, the interconnectedness of energy systems, natural resources, economic growth, and social welfare requires a systems‐level framework to identify scenarios which most impact these systems. This paper evaluates and quantifies infrastructure system risk, defined as the influence of scenarios on system priorities. A scenario‐based multi‐criteria preferences model assesses system component priorities for a baseline scenario as well as climate and re

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JI, XIAODONG, XIUJUAN ZHAO, and XIULI CHAO. "A NOVEL METHOD FOR MULTISTAGE SCENARIO GENERATION BASED ON CLUSTER ANALYSIS." International Journal of Information Technology & Decision Making 05, no. 03 (2006): 513–30. http://dx.doi.org/10.1142/s0219622006002106.

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Based on cluster analysis, a novel method is introduced in this paper to generate multistage scenarios. A linear programming model is proposed to exclude the arbitrage opportunity by appending a scenario to the generated scenario set. By means of a cited stochastic linear goal programming portfolio model, a case is given to exhibit the virtues of this scenario generation approach.

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Orfanou, Athanasia, and Stergios Vakalis. "Wind based hybrid systems for increased RES penetration in isolated grids: The case study of Anafi (Greece)." AIMS Energy 10, no. 5 (2022): 1046–58. http://dx.doi.org/10.3934/energy.2022048.

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<abstract> <p>The dependence of the Non-Interconnected Islands on diesel power stations increases the cost of producing electricity in comparison to the mainland. This study focuses on the green energy transition of Interconnected Islands, and Anafi was selected as a characteristic case. The average cost of electricity production from thermal units in Anafi was estimated to be 539 €/MWh with a peak load of 0.55 MW. Two different green energy transition scenarios are proposed for Anafi that include the addition of PV panels plus a wind turbine (scenario 1) or PV panels plus a batter

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Balan, Ioana Mihaela, and Teodor Ioan Trasca. "Reducing Agricultural Land Use Through Plant-Based Diets: A Case Study of Romania." Nutrients 17, no. 1 (2025): 175. https://doi.org/10.3390/nu17010175.

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Background/Objectives: Agricultural systems face increasing global pressure to address sustainability challenges, particularly regarding land use and environmental protection. In Romania, where traditional diets are heavily dependent on animal-based products, optimizing land use is critical. This study investigates the potential of plant-based diets to reduce agricultural land use, examining scenarios of partial and complete replacement of animal protein with plant protein sources (soy, peas, and potatoes). Methods: The research modeled three dietary transition scenarios—replacing 33%, 50%, an

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Hashemkhani Zolfani, Sarfaraz, Reza Dehnavieh, Atousa Poursheikhali, Olegas Prentkovskis, and Payam Khazaelpour. "Foresight Based on MADM-Based Scenarios’ Approach: A Case about Comprehensive Sustainable Health Financing Models." Symmetry 12, no. 1 (2019): 61. http://dx.doi.org/10.3390/sym12010061.

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As indicated by a worldwide common perspective about health and sustainable health systems, the health structure as a part of public health is a key theme of many societies. The future is shaped by probable future scenarios, for which dealing practically has many complications. This study is focused on the future scenarios for a comprehensive sustainable health financing model to support a superior structure for a decision and policy-making pilot for the society. This aim is followed based on multiple attribute decision making (MADM)-based scenarios using two MADM methods, step-wise weight ass

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Li, Guangming, Yu Zhang, Yuhua Zhang, et al. "Landslide Hazard Prediction Based on UAV Remote Sensing and Discrete Element Model Simulation—Case from the Zhuangguoyu Landslide in Northern China." Remote Sensing 16, no. 20 (2024): 3887. http://dx.doi.org/10.3390/rs16203887.

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Rainfall-triggered landslides generally pose a high risk due to their sudden initiation, massive impact force, and energy. It is, therefore, necessary to perform accurate and timely hazard prediction for these landslides. Most studies have focused on the hazard assessment and verification of landslides that have occurred, which were essentially back-analyses rather than predictions. To overcome this drawback, a framework aimed at forecasting landslide hazards by combining UAV remote sensing and numerical simulation was proposed in this study. A slow-moving landslide identified by SBAS-InSAR in

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Tian, Zhe, Chuang Ye, Jie Zhu, Jide Niu, and Yakai Lu. "Accelerating Optimal Control Strategy Generation for HVAC Systems Using a Scenario Reduction Method: A Case Study." Energies 16, no. 7 (2023): 2988. http://dx.doi.org/10.3390/en16072988.

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Learning an optimal control strategy from the optimized operating dataset is a feasible way to improve the operational efficiency of HVAC systems. The operation dataset is the key to ensuring the global optimality and universality of the operation strategy. Currently, the model-based method is commonly used to generate datasets that cover all operating scenarios throughout the cooling season. However, thousands of iterative optimizations of the model also lead to high computational costs. Therefore, this paper proposed a scenario reduction method in which similar operating scenarios were group

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Irshad, Ateeq ur Rehman, Nabeel Safdar, Zahid Irshad Younas, and Wajiha Manzoor. "Impact of Corporate Governance on Firms’ Environmental Performance: Case Study of Environmental Sustainability-Based Business Scenarios." Sustainability 15, no. 10 (2023): 7775. http://dx.doi.org/10.3390/su15107775.

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Environmental performance is a key aspect of business for both shareholders and stakeholders. However, it is necessary to examine whether current practices in corporate governance protect the key interests of shareholders and environmental stakeholders. This study examines how corporate governance affects a company’s sustainability and environmental performance. The study takes a novel approach by dividing businesses into three categories based on various business scenarios for environmental sustainability and evaluating the effect of corporate governance on each scenario in businesses. Accord

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Li, Si Wen, Jing Hua Liu, Lei Hu, and Xiao Dong Wei. "Design and Research of Interactive Behaviors in Modern Healthcare Scenarios." Applied Mechanics and Materials 577 (July 2014): 893–97. http://dx.doi.org/10.4028/www.scientific.net/amm.577.893.

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Healthcare scenarios are human-machine systems which involve diverse linked products. Based on analysis of key elements of healthcare scenario under overall digitalization, the paper proposes a new definition of modern healthcare scenario from a system perspective and summarizes three dimensions of interactive relations in modern healthcare scenarios. According to data from field interview and case study, the paper thoroughly discusses forms and implementations of the interactive relations in healthcare scenarios from three aspects, i.e. information interaction, human-machine interaction and s

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Muxtarovna, Amonova Nargiza. "DEVELOPING CRITICAL THINKING SKILLS IN MEDICAL BIOCHEMISTRY THROUGH DIGITAL CASE-BASED LEARNING." Current Research Journal of Pedagogics 5, no. 10 (2024): 174–78. http://dx.doi.org/10.37547/pedagogics-crjp-05-10-29.

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In the modern era of medical education, the ability to apply biochemistry knowledge to clinical cases is crucial. This article explores the effectiveness of digital case-based learning (CBL) in enhancing critical thinking skills for medical students in biochemistry courses. Digital CBL tools provide realistic clinical scenarios that require students to connect biochemical processes with diagnostic decisions, promoting active learning and critical thinking.

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Peng, Bin, Jiuchun Yang, Yixue Li, and Shuwen Zhang. "Land-Use Optimization Based on Ecological Security Pattern—A Case Study of Baicheng, Northeast China." Remote Sensing 15, no. 24 (2023): 5671. http://dx.doi.org/10.3390/rs15245671.

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In the current context of global urbanization and climate change, balancing ecological protection and economic development is a particular challenge in the optimal allocation of regional land use. Here, we propose a research framework for the optimal allocation of land use that considers the regional ecological security pattern (ESP) and allocates space for land-use activities to areas with low ecological risk. Taking Baicheng, China as our study area, ecological sources were first identified by integrating their ecological importance and landscape connectivity, and ecological corridors and fu

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Xu, Tao, Jiahao Zhong, Pingzhi Zou, Jie Zhang, and Zhen Yang. "Research on Ship Accident Scenario Deduction Based on Similarity Algorithm." Journal of Physics: Conference Series 3004, no. 1 (2025): 012070. https://doi.org/10.1088/1742-6596/3004/1/012070.

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Abstract Emergency response and rescue in ship accidents are complex, urgent, and high-risk, making it difficult to comprehensively assess the situation on site based solely on personal experience. Existing research on decision support primarily focuses on case similarity, leading to significant deviations in predicting accident development trends. Therefore, this paper proposes a study on accident scenario deduction based on similarity calculations. Specifically, it first adopts a method for decomposing accident scenarios into multiple discrete elements. Then, it designs a scenario deduction

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Mishra, Vinaytosh, Fahmida Jafri, Nafeesa Abdul Kareem, Raseena Aboobacker, and Fatma Noora. "Evaluation of accuracy and potential harm of ChatGPT in medical nutrition therapy - a case-based approach." F1000Research 13 (February 22, 2024): 137. http://dx.doi.org/10.12688/f1000research.142428.1.

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Background ChatGPT is a conversational large language model (LLM) based on artificial intelligence (AI). LLMs may be applied in health care education, research, and practice if relevant valid concerns are proactively addressed. The current study aimed to investigate ChatGPT’s ability to generate accurate and comprehensive responses to nutritional queries created by nutritionists/dieticians. Methods An in-depth case study approach was used to accomplish the research objectives. Functional testing was performed, creating test cases based on the functional requirement of the software application.

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Felipe-Andreu, Javier, Antonio Valero, and Alicia Valero. "Territorial Inequalities, Ecological and Material Footprints of the Energy Transition: Case Study of the Cantabrian-Mediterranean Bioregion." Land 11, no. 11 (2022): 1891. http://dx.doi.org/10.3390/land11111891.

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This study develops a methodology to assess the energy transition’s territorial, ecological and material impacts on regions. As a case study, the methodology is applied to the Cantabrian-Mediterranean Bioregion, a geographical area constituting eight autonomous communities located in the north of Spain. Two energy demand scenarios for 2030 and 2050 were assessed. The 2030 scenario is based on the Spanish government’s planning, and the 2050 scenario constitutes a net-zero emission economy based on electrification. Energy dependence between autonomous communities, energy and raw material needs,

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Andreu, Javier Felipe, and Alicia Valero. "Territorial Inequalities, Ecological and Material Footprints of the Energy Transition: Case Study of the Cantabrian-Mediterranean Bioregion." Land 2022 11 (October 25, 2022): 1891. https://doi.org/10.3390/land11111891.

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This study develops a methodology to assess the energy transition’s territorial, ecological and material impacts on regions. As a case study, the methodology is applied to the Cantabrian-Mediterranean Bioregion, a geographical area constituting eight autonomous communities located in the north of Spain. Two energy demand scenarios for 2030 and 2050 were assessed. The 2030 scenario is based on the Spanish government’s planning, and the 2050 scenario constitutes a net-zero emission economy based on electrification. Energy dependence between autonomous communities, energy and raw mate

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El Makroum, Reda, Ahmed Khallaayoun, Rachid Lghoul, Kedar Mehta, and Wilfried Zörner. "Home Energy Management System Based on Genetic Algorithm for Load Scheduling: A Case Study Based on Real Life Consumption Data." Energies 16, no. 6 (2023): 2698. http://dx.doi.org/10.3390/en16062698.

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This paper proposes a home energy management system able to achieve optimized load scheduling for the operation of appliances within a given household. The system, based on the genetic algorithm, provides recommendations for the user to improve the way the energy needs of the home are handled. These recommendations not only take into account the dynamic pricing of electricity, but also the optimization for solar energy usage as well as user comfort. Historical data regarding the times at which the appliances have been used is leveraged through a statistical method to integrate the user’s prefe

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Economou, Emmanouil M. L., and Nicholas Kyriazis. "Is the Greek debt sustainable? Analyzing three different scenarios for the forthcoming period 2018–2022." Journal for Markets and Ethics 6, no. 2 (2018): 171–82. http://dx.doi.org/10.2478/jome-2018-0036.

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Abstract In this paper, we attempt to estimate the development of the Greek public debt for the period 2018–2022. In order to achieve this, we analyze three different fiscal scenarios that are based on the official data available, together with our estimations that are based on a specific conceptual framework that we develop. The three scenarios are based on a different mixture of Gross domestic product (GDP) growth rates and budgetary surpluses of GDP. The analysis concludes that the numerical outcome is almost the same in all three case scenarios. However, the third scenario is the best sinc

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Więcek, Dariusz, Marcin Mora, and Igor Michalski. "Coexistence of 5G/6G and Digital Terrestrial Television Networks." Applied Sciences 14, no. 13 (2024): 5756. http://dx.doi.org/10.3390/app14135756.

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This paper analyzes practical solutions for implementing 5G/6G and Digital Terrestrial Television (DTT) network coexistence in the UHF band. Two potential scenarios are explored using the case study of a nationwide DTT network: spectrum splitting and spectrum interleaving. Both scenarios are thoroughly examined based on current UHF spectrum usage and the DTT network structure based on a case study of Poland. The analysis includes potential future benefits and limitations of each scenario. The results presented in this paper can guide administrations in implementing decisions made at the Intern

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Çelik, Muhammed, and Zehra Vildan Serin. "A system dynamics approach to food security: The case of Turkey." International Journal of ADVANCED AND APPLIED SCIENCES 9, no. 2 (2022): 22–30. http://dx.doi.org/10.21833/ijaas.2022.02.003.

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Predicting a sustainable food safety policy for the near future is among Turkey's priority problems. In this context, this study aims to predict Turkey's sustainable food safety policies. For this reason, the system dynamics model, which is a dynamic cycle-based method with stock and flow diagrams, is used in this paper. This study supposed the six different scenarios for 2020 and 2050. Data were selected as population, productivity rate, arable land fertility rate, and annual food consumption (per capita). The purpose of creating these scenarios; To determine the most appropriate policy to en

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