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15th International Joint Conference on knowledge Discovery, knowledge engineering and knowledge management, IC3K 2023

作者： da Silva, Gustavo Simas Ulbricht, Vânia Ribas Gonçalves, Alexandre Leopoldo Graduate Program in Knowledge Engineering Management and Media (EGC) Federal University of Santa Catarina (UFSC) Florianópolis Brazil

ISBN: (纸本)9783031875687

Conducting a systematic mapping of the available knowledge within an organization is a common challenge in the knowledge Society. Such an activity is fundamental to optimize Organizational knowledge management (OKM), favoring knowledge as a valuable intangible asset in the context of organizations. In this scenario, this article proposes a conceptual model to map the Organizational knowledge Ecosystem, covering four stages: Storage, Visualization, Analysis, and Action. In the Storage stage, a knowledge base is developed from a framework that maps essential Actors, Resources, and Activities (ARA) in the ecosystem;in Visualization, a knowledge graph is used to represent the relationships between elements;in Analysis, Social Network Analysis (SNA) is used to understand the dynamics and flows of knowledge from the interpretation of connection patterns;and finally, in the Action stage, knowledge management strategies and initiatives are implemented to optimize the use and dissemination of knowledge in the ecosystem. Complexity and richness characterize knowledge Ecosystems, necessitating a systemic approach for strategic knowledge management;future directions include expanding the model beyond organizational boundaries, leveraging digital platforms and big data for insights, and exploring topics such as cultural influences on OKE. © The Author(s), under exclusive license to Springer Nature Switzerland AG 2025.

关键词： Conceptual model knowledge management Organizational knowledge ecosystem Social network analysis

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Valorization of Spondias bahiensis waste: Ultrasound-assisted extraction, in vitro phenolics bioaccessibility, and effect on the stability of lipid-protein oxidation in pre-cooked goat meatballs

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Food Bioscience 2025年 69卷

作者： da Silva Ferreira, Valquíria Cardoso de Santana Neto, Deocleciano Cassiano Fernandes Santos, Miriane Moreira da Silva, Anna Júllia Bezerra de Azevedo Moura, Gleyce Swellen Santos Ribeiro, José Evangelista Lima, Marcos dos Santos Magnani, Marciane Silva, Fábio Anderson Pereira da Department of Management and Agro-industrial Technology Federal University of Paraíba Paraíba Bananeiras Brazil Post-graduate Program in Food Engineering Department of Chemical Engineering Federal University of Paraná Brazil Post-graduate Program in Food Science and Technology Department of Food Engineering Technology Center Federal University of Paraíba Paraíba Joao Pessoa 58051-900 Brazil Department of Food Engineering Technology Center Federal University of Paraíba Paraíba Joao Pessoa 58051-900 Brazil

This study aimed to optimize the ultrasound-assisted extraction of phenolic compounds from the bagasse of umbu-cajá (Spondias bahiensis), a native Brazilian fruit, and to assess their bioaccessibility. Additionally, the influence of different concentrations of the umbu-cajá bagasse (SBB) extract on the oxidative stability of pre-cooked goat meatballs was investigated over a 10-day refrigerated storage period by quantifying lipid oxidation products. A central composite rotational design determined the optimal ethanol concentration, sonication time, and bagasse-solvent ratio. The optimized extract was applied to meatballs at two concentrations: EX2 (meatballs with 7.0 g/100 g of added SBB extract) and EX4 (meatballs with 13.7 g/100 g of added SBB extract). A control treatment (no antioxidant) and BHT-treated meatballs (0.02 g/100 g) were included as references. Meatballs were evaluated by measuring instrumental color, peroxide value, TBARS, carbonyl compounds, and through simulated digestion. Optimal extraction conditions were 55 % ethanol, 20 min of sonication, and a 1:36.8 bagasse-to-solvent ratio (m/v). The extract showed high antioxidant activity and bioaccessibility of catechin (1243.75 %), epicatechin gallate (918.75 %), procyanidins B2 (915.38 %), gallic acid (319.76 %) and procyanidins B1 (136.36 %). SBB extract slowed lipid oxidation until day 10 and protein oxidation until day 5 but did not inhibit color change. The meatballs had low content of oxidative compounds and high antioxidant capacity in the intestinal fraction, indicating that SBB extract can partially or totally replace the synthetic preservative. © 2025

关键词： Antioxidant Goat meat In vitro gastrointestinal digestion Oxidation Phenolic compounds Umbu-cajá

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Statistical trend characteristics of rainfall over Kerala, India evaluated through analysing modern era retrospective analysis for research and applications (MERRA-2) reanalysis data

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Bulletin of Atmospheric Science and Technology 2025年第1期6卷 1-38页

作者： Modon Valappil, Ninu Krishnan de Oliveira Júnior, José Francisco Mendes, David Jamjareegulgarn, Punyawi Hamza, Vijith Environmental Technology Division School of Industrial Technology Universiti Sains Malaysia Pulau Pinang 11800 Malaysia Laboratory of Applied Meteorology and Environment (LAMMA) Institute of Atmospheric Sciences (ICAT) Federal University of Alagoas (UFAL) LourivalMeloMota avenue S/N Alagoas Tabuleiro dos Martins Maceió CEP: 57072-970 Brazil Post-Graduate Program in Aerospace Engineering – PPGEA Federal University of Rio Grande do Norte – UFRN Campus Universitário Lagoa Nova RN Natal Brazil Prince of Chumphon Campus King Mongkut’s Institute of Technology Ladkrabang Chumphon 86160 Thailand Kerala State Disaster Management Authority Kerala Thiruvananthapuram 695033 India

Statistical trends of rainfall (annual and seasonal rainfalls) in Kerala, India were characterised using the 44-years (1980–2023) data of Modern-Era Retrospective Analysis for Research and Applications (MERRA) version 2. Monthly rainfall data were collected from the selected fifty locations which represent the state as a whole, and the collected data were then categorised into annual as well as seasonal (winter, summer, monsoon and post-monsoon) datasets based on the classification proposed by Indian Meteorological Organisation (IMD). Lag-1 autocorrelation, modified Mann Kendall (mMK), Pettitt test and Theil-Sen’s slope methods were used to determine the statistical characteristics of rainfalls in Kerala. Mean rainfalls were 3124 mm, 66 mm, 527 mm, 1667 mm and 862 mm, respectively, for annual, winter, summer, monsoon and post-monsoon periods. mMK based statistical trend analysis revealed an overall decreasing trend characteristics in annual (-0.54 mm.y⁻¹), monsoon (-1.20 mm.y⁻¹), and post-monsoon (-0.93 mm.y⁻¹) seasons whereas winter and summer rainfalls showed an increasing trend (0.67 mm.y⁻¹ and 3.40 mm.y⁻¹, respectively) for the state as a single unit. Pettitt test indicated four dominant periods of change in rainfall characteristics in the study area that spanned over the decades of 1980, 1990, 2000 and 2010, in which major changes in annual and seasonal rainfalls were occurred during 1990’s, 2000’s and 2010’s. Theil-Sen’s slope-based estimation of rate of change in rainfall showed an average variation of -4.33 mm.y⁻¹, 0.17 mm.y⁻¹, 6.27 mm.y⁻¹, -6.54 mm.y⁻¹ and − 3.28 mm.y⁻¹ for annual, winter, summer, monsoon and post-monsoon seasons, respectively. Though the winter and summer rainfalls showed an increase in its rate during the period of analysis, annual rainfall showed an overall reduction in the amount of rainfall received in the state. The study ulti

关键词： MERRA-2 Modified Mann Kendall Period of change Rainfall variation Spatial statistics

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Automated accessibility evaluation software for authenticated environments: A heuristic usability evaluation

Automated accessibility evaluation software for authenticate...

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8th International Conference on Universal Access in Human-Computer Interaction, UAHCI 2014 - Held as Part of 16th International Conference on Human-Computer Interaction, HCI International 2014

作者： Pivetta, Elisa Maria Saito, Daniela Satomi Da Silva Flor, Carla Ulbricht, Vania Ribas Vanzin, Tarcísio Post-graduate Program in Knowledge Engineering and Management Federal University of Santa Catarina Florianópolis SC Brazil

ISBN: (纸本)9783319075082

Web accessibility has been the subject of much discussion regarding the need to make Web content accessible to all people, regardless of their abilities or disabilities. While some testing techniques require human intervention, accessibility can also be evaluated by automated tools. Automated evaluation tools are software programs that examine the code of Web pages to determine if they conform to a set of accessibility guidelines that are often based on the Web Content Accessibility Guidelines Version 2.0 (WCAG 2.0), developed by the World Wide Web Consortium (W3C). In this context, the purpose of this study is to analyze an automated software program for evaluating authenticated environments and verify the usability of this tool, since automated systems require precision and reliability in terms of both results and use in any type of environment. With this in mind, this paper aimed at evaluating the ASES software by means of a heuristic evaluation carried out by three experts. The analysis revealed major accessibility problems, as well as improper functioning of available tools and inconsistency of results. Furthermore, ASES was found to have problems of efficiency, interaction, validity, and reliability in the results presented. Considering that this is an open-source accessibility testing tool that can be found on a government web site, the correction or improvement of the system's deficiencies identified in this study is highly recommended, as there is a lack of software available to evaluate authenticated environments. © 2014 Springer International Publishing.

关键词： Websites

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Data Visualization for Learning Analytics Indicators in programming Teaching 4

Data Visualization for Learning Analytics Indicators in Prog...

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4th International Computer programming Education Conference, ICPEC 2023

作者： dos Santos, Ranieri Alves Barbi, Dalner Culmant Ramos, Vinicius Faria Ostuni Gauthier, Fernando Alvaro Graduate Program in Knowledge Engineering and Management UFSC Florianópolis Brazil

ISBN: (纸本)9783959772907

Learning Analytics (LA) has the potential to transform the way we learn, work and live our lives. To reach its potential, it must be clearly defined, incorporated into institutional teaching-learning strategies and processes and practices. The main goal of this study is to list indicators to be used in learning analytics in programming teaching and how to expose their views. For the development of the indicator model, this study based on a qualitative analysis, using data visualization and business intelligence tools, in projects focused on Learning Analytics. As a result, four main indicators were mapped: accesses to the system, resources accessed, activities carried out and, performance in activities. © Ranieri Alves dos Santos, Dalner Barbi, Vinicius Faria Culmant Ramos, and Fernando Alvaro Ostuni Gauthier

关键词： Data visualization

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Second Brain and Self-directed Learning in Personal knowledge management

Second Brain and Self-directed Learning in Personal Knowledg...

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International Conference on management, Tourism and Technologies, ICMTT 2024

作者： da Silva, Gustavo Simas Ulbricht, Vânia Ribas Graduate Program of Knowledge Engineering Management and Media Federal University of Santa Catarina Florianópolis Brazil

ISBN: (纸本)9783031748240

This article explores the integration of Self-Directed Learning (SDL), Personal knowledge management (PKM) and the Second Brain (SB) concept within the knowledge Society scenario. Highlighting SDL as a key contemporary competence, we emphasize the role of PKM in enhancing work efficiency and career development, crucial in an era marked by vast data influx. The SB concept is presented as a digital tool for effective information and knowledge organization, serving as a knowledge base along the CODE workflow and PARA system, also addressing challenges posed by the information age. The synergy between SB, PKM and SDL is examined as a holistic approach for optimizing knowledge management, fostering personal development and enhancing learning processes. We also discuss the implications for Organizational knowledge management (OKM) and active learning in organizational settings, aiming to cultivate a culture of adaptability and lifelong learning. Concluding, the article acknowledges the challenges of cognitive overload and the digital divide in the knowledge Economy, while foreseeing the potential of emerging technologies in refining these approaches. © The Editor(s) (if applicable) and The Author(s), under exclusive license to Springer Nature Switzerland AG 2024.

关键词： Active learning

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An Application Model for Digital Television in E-Learning

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通讯和计算机（中英文版） 2011年第12期8卷 1079-1085页

作者： Paloma Maria Santos Marcus de Melo Braga Marcus Vinicius A. S. Ferreira Femando Jose Spanhol Post Graduate Program in Knowledge Engineering and Management Universidade Federal de Santa Catarina Florianopolis 88040410 Brasil

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Efficient Utilization of Metaheuristic Techniques for Profit Maximization in Combinatorial Production Planning: A Comparative Study 3

Efficient Utilization of Metaheuristic Techniques for Profit...

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3rd IEEE International Conference on Control, Instrumentation, Energy and Communication, CIEC 2024

作者： Mukherjee, Arijit Mukherjee, Surojit Future Institute of Technology Deptartment of Electrical Engineering Kolkata India Great Lakes Institute of Management Post-Graduate Program in Management Chennai India

ISBN: (纸本)9798350313703

Efficient production planning requires well-structured models compatible with metaheuristic and other optimization techniques. This study compares three established metaheuristic methods - sanitized-teaching-learning-based optimization (s-TLBO), Particle Swarm Optimization (PSO), and Differential Evolution (DE) with a termination criterion of equal number of functional evaluations - for profit-maximizing production planning. The focus is on a single-level problem involving complex constraints, non-linear costs, budget and raw material limitations. The paper presents two solution strategies: a penalty-based and a correction-based approach. Analyzing 300 unique instances of the problem reveals that s-TLBO implemented with correction-based approach consistently outperforms the other methods in devising optimal production plans for two Saudi Arabian petrochemical industries with 24 products, 54 processes, and three raw materials for plant 1 and two raw materials for plant 2. © 2024 IEEE.

关键词： Combinatorial optimization

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Optimal Integration of Metaheuristic Techniques with Correction-Based Approaches for Profit Maximization in Combinatorial Production Planning: A Comparative Analysis 3

Optimal Integration of Metaheuristic Techniques with Correct...

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3rd IEEE International Conference on Control, Instrumentation, Energy and Communication, CIEC 2024

ISBN: (纸本)9798350313703

To enhance production planning efficiency, it's crucial to have well-structured models that align with metaheuristic and other optimization techniques. This research conducts a comparative analysis of three unique metaheuristic methods: sanitized-teaching-learning-based optimization (sTLBO), Particle Swarm Optimization (PSO), and Differential Evolution (DE) with a termination criterion of equal number of functional evaluations. The primary focus lies on profit-maximizing production planning within a single-level framework, encompassing intricate domain constraints, nonlinear costs, budget limitations and raw material constraints. The paper introduces three correction-based solution approaches. Upon evaluating 300 distinct instances of the problem, the study reveals that s-TLBO integrated with correction-based approach 1 and 3 consistently outperforms the other methods when it comes to devising optimal production plans for a Saudi Arabian petrochemical industry. This industry scenario involves 24 products, 54 processes, and three raw materials. © 2024 IEEE.

关键词： Combinatorial optimization

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Case-based comparison of career trajectories 24

Case-based comparison of career trajectories

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24th International Conference on Case-Based Reasoning Workshops, ICCBR-WS 2016

作者： Duarte, Kedma Weber, Rosina O. Pacheco, Roberto C. S. Graduate Program in Knowledge Engineering and Management Federal University of Santa Catarina Brazil College of Computing and Informatics Drexel University United States

Data generated across time may not be easily comparable in its original form thus potentially leading to results that may be perceived as unfair to some. We investigate quality assessment of scholarly researchers from their curricula vitae (CVs) for processes such as hiring, promotion, and grant funding. In previous work, we demonstrated that case-based reasoning (CBR) offers advantages as a transparent methodology to assess researcher quality. Its benefits include consistency, transparency, ability to adapt to specific purposes, and ability to provide explanation. The problem we now face is how to preprocess the data from the CVs to compare researchers whose scholarly production is achieved under different conditions, different points in time, and span different career trajectory lengths. We propose strategies to deal with these aspects of time during preprocessing of the data for case representation. We use 1,000 CVs from the Brazilian Lattes database to illustrate. Copyright © 2016 for this paper by its authors.

关键词： Trajectories

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