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Propranolol hydrochloride degradation using La@TiO_(2) functionalized with CMCD

Journal of Rare Earths 2022年第4期40卷 579-585,I0003页

作者： Gustavo Lopes Colpani Vitor Follmann Santos Rubieli Carla Frezza Zeferino Micheli Zanetti Josiane Maria Muneron de Mello Luciano Luiz Silva Natan Padoin Regina de Fatima Peralta Muniz Moreira Márcio Antônio Fiori Cíntia Soaresc Post-Graduate Program in Technology and Innovation Management Community University of ChapecóRegionChapecó89809-900Brazil Department of Chemical Engineering Community University of ChapecóRegionChapecó89809-900Brazil Laboratory of Materials and Scientific Computing(LabMAC) Department of Chemical and Food EngineeringFederal University of Santa CatarinaFlorianópolis88040-900Brazil

Propranolol hydrochloride can be considered a persistent and bioaccumulative pharmaceutical in the *** drug and its by-products are potentially toxic and have adverse effects,since these compounds have been associated with endocrine-disrupting effects,reproductive deficiencies,embryo abnormalities and pericardial ***_(2)–La 0.05%–carboxymethyl-β-cyclodextrin(CMCD)nanoparticles were successfully prepared by a simple two-step method,which consists of sonification and *** characterization analyses reveal that lanthanum is dispersed on the semiconductor surface,probably forming Ti–O–La bonds,which can induce oxygen vacancies and surface defects that effectively restrain the recombination of photogenerated electron/holes *** efficiency of TiO_(2)–La 0.05%–CMCD samples in degradation of propranolol under UV-light irradiation is higher than that of pristine TiO_(2) within 20 min reaction,probably due to complex formation between theβ-blocker and the oligosaccharide,which allows us to propose a photocatalytic mechanism based on the formation of intermediates and competition of these compounds to the radicals and CMCD cavities.

关键词： TiO_(2) Lanthanum CMCD Propranolol Photocatalysis Functionalization

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Ontologies for support preventive maintenance processes of critical IT assets 22

Ontologies for support preventive maintenance processes of c...

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22nd International Conference on Production Research, ICPR 2013

作者： Czelusniak, D.J. De Abreu, A.F. Souza, J.A. Dergint, D.E.A. Federal University of Santa Catarina Engineering Production Post Graduate Program Technological Center P.O. Box 476 Trindade Florianópolis SCCEP 88010-970 Brazil Federal University of Santa Catarina Knowledge Management Engineering Post Graduate Program Technological Center P.O.Box 476 Trindade Florianópolis SC.CEP 88010-970 Brazil Federal Technological University of Paraná Technology Post Graduate Program 3165 Sete de Setembro Avenue Rebouças Curitiba PR.CEP 80230-901 Brazil

The goal of this paper is to show a study to evaluate the possibility of using ontologies to support maintenance procedures in IT equipment in a small power company. The aim is to improve the degree of reliability in detection of potential failures and defects in maintenance processes of information technology critical assets, trying to obtain less downtime of services that they provide. The methodological procedures used in this study were literature review, to present the modeling concepts of knowledge focused on ontologies creation and state of the art in building of field procedures describing the steps from initial drafting of ontology finishing with their tests. The results demonstrate that it is viable to utilize this technique, where the network equipment that keeps critical services require high level of availability on meeting the needs of the corporation.

关键词： Ontology

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Identification of benefits, challenges, and pathways in E-commerce industries: An integrated two-phase decision-making model

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Sustainable Operations and Computers 2023年第1期4卷 200-218页

作者： Gupta, Srikant Kushwaha, Pooja.S. Badhera, Usha Chatterjee, Prasenjit Gonzalez, Ernesto D.R. Santibanez Department of Operations and Decision Sciences Jaipuria Institute of Management Jaipur India Department of Business Analytics Jaipuria Institute of Management Indore India Department of Business Analytics Jaipuria Institute of Management Jaipur India Department of Mechanical Engineering MCKV Institute of Engineering West Bengal 711204 India Post-Doctoral Fellow Management Graduate Program Universidade Paulista Indianópolis Campus Brazil Department of Industrial Engineering and CES 4.0 Faculty of Engineering University of Talca Curico Chile

The e-commerce industry has seen significant growth over the past decade as it focuses on convenience and accessibility, leading to a surge in online shopping with more and more consumers opting for it. At the same time, the e-commerce industry faces various challenges. In order to fully harness the potential of this industry, it is important to identify its benefits and challenges and focus on pathways to mitigate the challenges and harness its growth. This study utilizes the Delphi approach and involves experts from the e-commerce domain to get their opinions to identify the top ten benefits, challenges, and pathways for the e-commerce industry. Analytic Hierarchy Process (AHP) and Criteria Importance Through Intercriteria Correlation (CRITIC) methods are subsequently, employed to prioritize the identified factors. Results of the study revealed that factors such as affordable advertising & marketing;availability and product variety;and Global reachability are the most important benefits, while technological upgradation;returns or refunds;and counterfeit products posed the greatest challenges for the industry. Government compliance check;better relationship with delivery partners;and strong data privacy and online security policies emerged as the best pathways. This study also provides valuable insights to businesses, policymakers, and researchers in the e-commerce industry on how to navigate the benefits, challenges, and pathways of this rapidly growing sector. © 2023

关键词： Electronic commerce

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Artificial intelligence and knowledge management

Artificial intelligence and knowledge management

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Conference on Artificial Intelligence in Theory and Practice held at the 19th World Computer Congress

作者： Hoeschl, Hugo Cesar Barcellos, Vania WBSA Intelligent Systems S.A Brazil Research Institute on e-Gov Juridical Intelligence and Systems - IJURIS Brazil Program of Post-Graduation in Engineering and Knowledge Management Federal University of Santa Catarina Brazil

ISBN: (纸本)0387346546

This article intends to make an analysis about the Artificial Intelligence (AI) and the knowledge management (KM). Faced with the dualism mind and body how we be able to see it AI? It doesn't intent to create identical copy of human being, but try to find the better form to represent all the knowledge contained in our minds. The society of the information lives a great paradox, at the same time that we have access to an innumerable amount of information, the capacity and the forms of its processing are very limited. In this context, institutions and centers of research devote themselves to the finding of ways to use to advantage the available data consistently. The interaction of the knowledge management with Artificial Intelligence makes possible the development of filtering tools and pre-analysis of the information that appear as a reply to the expectations to extract resulted optimized of databases and open and not-structuralized source, as the Internet.

关键词： knowledge management

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Discovering software process and product quality criteria in software as a service

Discovering software process and product quality criteria in...

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11th International Conference on Product-Focused Software Process Improvement, PROFES 2010

作者： Cancian, Maiara Heil Hauck, Jean Carlo Rossa Von Wangenheim, Christiane Gresse Rabelo, Ricardo José Department of Automation and Systems Federal University of Santa Catarina Brazil Graduate Program in Knowledge Engineering and Management Federal University of Santa Catarina Brazil Federal University of Santa Catarina Brazil

ISBN: (纸本)3642137911

SaaS (Software as a Service) has become one of the fastest-growing innovative fields of the IT sector. Yet, as any other software intensive organizations, SaaS providers also need to deliver the service quality they offer. And, although, today exist a multitude of software quality models, so far, a specific adaptation does not exist to the SaaS context. Therefore, we present the results of our research on discovering software process and product quality criteria in the SaaS scenario. We adopted a research methodology, including, domain analysis, stakeholders interviews and literature review to elicit quality criteria and a survey to validate and prioritize the identified criteria. Such a set of identified quality criteria may help service clients to select providers as well as serve as a basis for a mapping relevant software process areas and best practices in order to adapt existing capability/maturity models and standards to this specific domain. © 2010 Springer-Verlag.

关键词： Quality control

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Study of initial guess influence on the quality of solutions on binary genetic algorithm in job shop scheduling problem 14

Study of initial guess influence on the quality of solutions...

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14th International Symposium on Operational Research, SOR 2017

作者： Ferreira da Cruz, Valmir Pereira, Fabio Henrique Universidade Nove de Julho Industrial Engineering Graduate Program Francisco Matarazzo Av. 612 São Paulo Brazil Universidade Nove de Julho Informatics and knowledge management Graduate Program Francisco Matarazzo Av. 612 São Paulo Brazil

ISBN: (纸本)9789616165501

The purpose of this study is to evaluate the influence of the initial guess to generate the Genetic Algorithm population of solutions of scheduling problems in relation to the quality and feasibility of the solutions. The scheduling problem is defined as to find the sequence of operations on the machines that optimize some performance measure as, for example, the use of resources and the total processing time (makespan). It is common to treat such problems with the use of metaheuristics as genetic algorithm mainly due to its computational complexity. This work carried out experiments with a set of literature instances, varying the sequencing rule used in the generation of initial solutions. Usually, rules from the literature have been tested and identified a hybrid rule that generates a smaller number of non-feasible solutions and the number of instances that have reached the optimal makespan. © 2017 Slovenian Society Informatika. All Rights Reserved.

关键词： Genetic algorithms

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Proposing an ISO/IEC 15504-2 compliant method for process capability/maturity models customization

Proposing an ISO/IEC 15504-2 compliant method for process ca...

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Lecture Notes in Computer Science

作者： Hauck, Jean Carlo Rossa Von Wangenheim, Christiane Gresse Mc Caffery, Fergal Buglione, Luigi Graduate Program in Knowledge Engineering and Management Federal University of Santa Catarina Brazil Regulated Software Research Group Lero - Dundalk Institute of Technology Ireland Federal University of Santa Catarina Brazil ETS/Engineering.IT Rome Italy

ISBN: (纸本)9783642218422

The customization of software process capability/maturity models (SPCMMs) to specific domains/sectors or development methodologies represents one of the most discussed and applied trends in ICT organizations. Nonetheless, little research appears to have been performed on how theoretically sound and widely accepted SPCMMs should be developed to high quality. The aim of this paper is therefore to elicit the state-of-the-art regarding the processes adopted to develop such models and to propose a systematic approach to support the customization of SPCMMs. Such an approach is developed based on ISO/IEEE standard development processes integrating knowledge engineering techniques and experiences about how such models are currently developed in practice. Initial feedback from an expert panel indicates the usefulness and adequacy of the proposed method. © 2011 Springer-Verlag.

关键词： knowledge engineering

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An interoperability approach based on asynchronous replication among distributed internet databases

An interoperability approach based on asynchronous replicati...

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IEEE Symposium on Computers and Communications (ISCC)

作者： Douglas D. J. de Macedo Hilton W. G. Perantunes Luiz F. J. Maia Eros Comunello Aldo von Wangenheim M.A.R. Dantas Department of Informatics and Statistics (INE) Federal University of Santa Catarina Florianopolis Brazil Post-Graduate Program Knowledge Engineering and Management (PPGEG) Federal University of Santa Catarina Florianopolis Brazil Department of Informatics and Statistics (INE) Florianopolis Brazil Federal University of Santa Catarina (UFSC) Post-Graduate Program in Knowledge Engineering and Management (PPGEGC) Florianopolis Brazil 88040-900

Nowadays, there is a growing interest in telemedicine in Brazil, because the country is the fifth largest country in the world and there is a huge gap between the population size and the number of available doctors. Institutions and the government are considering solutions for the integration and availability of data produced by several different systems. In this paper we present a contribution that is characterized by an asynchronous replication strategy between distributed medical databases. The contribution, named PGR, is an enhancement to the postgreSQL database software that introduces lightweight asynchronous operations. In addition, we have implemented a multi-master engine with partial replication and hybrid fragmentation in order to allow interoperability between different telemedicine systems. Our early results indicate that the model and its implementation have reached a successful level in terms of performance and interoperability.

关键词： Databases Proposals Distributed databases Medical services Software Monitoring Biomedical imaging

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Multicriteria Model for Key Performance Indicators Selection Applied in a Transportation Company

Multicriteria Model for Key Performance Indicators Selection...

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IEEE International Conference on Systems, Man and Cybernetics

作者： Carlos Eugênio Batista Da Silva Rodrigo José Pires Ferreira Suzana de França Dantas Daher Professional Post Graduate Program in Management Engineering Universidade Federal de Pernambuco Recife Brazil

ISBN: (纸本)9781665442084

Performance indicators play a fundamental role in monitoring the effectiveness of actions that were established in accordance with the organization's strategic planning. There are several ways well-described approaches in the literature for identifying and selecting a set of performance indicators. However, at first, some organizations have limitations to implement a large number of indicators simultaneously due to resource constraints. In this sense, a process for supporting decision makers in selecting indicators is desired and so, the organization can prioritize the most important indicators to be monitored in a given time window to leverage its business strategy. In this research, the Balanced Scorecard (BSC) was used to identify key indicators and a decision support model is proposed based on FITradeoff to prioritize the indicators. This study developed a multicriteria decision making model based on both partial information and an interactive tradeoff elicitation process to support a freight transportation company in selecting a set of performance indicators.

关键词： Decision support systems Conferences Key performance indicator Decision making Transportation Companies Strategic planning

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Creating Mathematical Models to Help Formulate Company Strategies for knowledge management System Implementation 9

Creating Mathematical Models to Help Formulate Company Strat...

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9th International Conference on Information management and Technology, ICIMTech 2024

作者： Sardjono, Wahyu Perdana, Widhilaga Gia Pranata, Dewi Sagita BINUS Graduate Program Master of Information Systems Management Bina Nusantara University Information Systems Management Department Jakarta11480 Indonesia Post Graduate Program of Management Science State University of Jakarta Jakarta13220 Indonesia King's College London Cyber Security Studi Program Faculty of Natural Mathematical & Engineering Sciences Department of Informatics Strands West MinsterWC2R 2LS United Kingdom

ISBN: (纸本)9798350390025

This research aims to build a mathematical model to formulate the problems of implementing knowledge management systems in companies that often face obstacles in achieving the desired objectives and goals. With increasing competition in the business sector, organizations or organizations realize the importance of utilizing the knowledge assets that reside in each individual and organization. If this knowledge can be managed optimally, it can become a competitive advantage for the company due to the emergence of innovative ideas by the concepts of knowledge management theory. By implementing optimal knowledge management (KM), companies can design innovative solutions to improve business operations and increase overall revenue. The factor analysis method will be used to find the determining factors for the success of the implementation of knowledge management systems (KMS) and the regression analysis method will also be used to form a mathematical model of several new factors which are formed as independent variables with the current level of community understanding of KMS as the dependent variable. The research results provide insight into strategies to improve success factors to successfully facilitate KMS implementation. This study contributes to existing knowledge management by providing insight into dynamics that go beyond the technical aspects of KMS, ultimately developing strategies for more effective and efficient utilization of knowledge and organizational growth and supporting competitive advantage for companies. © 2024 IEEE.

关键词： knowledge organization system (KOS)

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