ORCID Profile
0000-0001-9962-9578
Current Organisation
Universidade de Caxias do Sul
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Publisher: APESC - Associacao Pro-Ensino em Santa Cruz do Sul
Date: 04-09-2020
DOI: 10.17058/TECNOLOG.V2I0.15750
Abstract: Frequentemente, máquinas estão localizadas em locais não planejados, criando fluxos de materiais com baixa eficiência de distribuição. Este artigo apresenta um estudo de caso de programação dinâmica determinística aplicada à análise de modificação de layout de uma planta industrial, a fim de aperfeiçoar o deslocamento interno para reduzir os custos de movimentação. Para isso, foram identificados os possíveis posicionamentos para as três máquinas consideradas neste trabalho e as distâncias de deslocamento. Como resultado, obteve-se um layout otimizado em relação aos cenários possíveis, com redução de deslocamento em 10%. Sendo assim, torna-se evidente a contribuição da programação dinâmica como ferramenta de suporte para processos de modificação de layout.
Publisher: Springer International Publishing
Date: 2018
Publisher: Springer International Publishing
Date: 2018
Publisher: IGI Global
Date: 2018
DOI: 10.4018/978-1-5225-7113-1.CH048
Abstract: The digital profile of a person has become one of the tradable digital commodities over the Internet. Identity management has gained increasing attention from both enterprises and government organisations, in terms of security, privacy, and trust. A considerable number of theories and techniques have been developed to deal with identity management issues using biometric multimodal approaches. In this chapter, the authors review, assess, and consolidate the research and development activities of contemporary biometric and non-biometric identity management in 21 privately and publicly funded organisations. Furthermore, they develop a taxonomy to characterise and classify these identity management frameworks into two categories: processes and technologies. The authors then study these frameworks by systematically reviewing the whole lifecycle of an identity management framework, including actors, roles, security, privacy, trust, interoperability, and federation. The goal is to provide readers with a comprehensive picture of the state of the art of the existing identity management frameworks that utilise biometric and non-biometric technologies with the aim to highlight the contemporary issues and progress in this area of identity management.
Publisher: IEEE
Date: 12-2018
Publisher: Sociedade Portuguesa de Estomatologia e Medicina Dentaria (SPEMD)
Date: 23-11-2021
DOI: 10.24873/J.RPEMD.2021.11.847
Abstract: Objectives: This nonlinear three-dimensional finite element analysis (FEA) study evaluated the effect of the number of implants, distal implant inclination, and use of angled abutments on stress magnitude and distribution in cortical bone (CB), abutment screw (AS), and prosthetic screw (PS) of implant-supported fixed complete dentures. Methods: Nonlinear 3D FEA models of mandibular fixed complete dentures were created with five, four, or three parallel straight implants (5S, 4S, 3S) and with tilted distal implants (5T, 4T, 3T). In addition, the 5T model was tested using angled abutments over the tilted distal implants to re-align the implant inclination. A 100-N axial load was applied over the first molar region (cantilever) to analyze the von Mises stresses in selected points (CB, AS, and PS). Results: The implant adjacent to the load showed the highest stresses in CB, AS, and PS. The model with three implants showed higher stresses than the ones with four and five implants. Peak stresses in the AS increased 40% from five to four implants and 100% from five to three implants. Tilting the distal implants increased stresses in CB. Peak stress in the PS increased 150% from 5S to 5T models and 100% from 4S to 4T models. Angled abutments generated lower stresses on CB and AS but higher stresses on PS. Conclusions: The results suggest that stresses in the cortical bone, abutment screw, and prosthetic screw increase when tilting the posterior implants and reducing the number of implants. The use of angled abutments decreased stresses at the bone-implant interface and in abutment screws but increased stresses on prosthetic screws.
Publisher: Springer International Publishing
Date: 2018
Publisher: ACM
Date: 27-05-2018
Publisher: ACM
Date: 09-12-2019
Publisher: Quintessence Publishing
Date: 05-2016
DOI: 10.11607/IJP.4427
Abstract: The objective of this study was to assess the stress distribution generated by a simulated loading (100 N) in the area of the cantilever in three different five-implant mandibular protocol prosthesis models. The finite element analysis was carried out in three-dimensional models simulating: (1) a temporary all acrylic resin mandibular protocol prosthesis (2) a metal-acrylic mandibular protocol prosthesis and (3) a metal-ceramic mandibular protocol prosthesis. The all acrylic model promoted the highest stress values on the implant closest to the cantilever loading point. This study supports the need for a metallic bar reinforcement in the denture base.
Publisher: SciELO Agencia Nacional de Investigacion y Desarrollo (ANID)
Date: 07-2016
Publisher: IEEE
Date: 05-2020
Publisher: Springer International Publishing
Date: 2020
Publisher: Universidade Caixias do Sul
Date: 25-04-2019
Publisher: SAE International
Date: 07-05-2014
DOI: 10.4271/2014-36-0038
Publisher: Springer International Publishing
Date: 2018
Publisher: Universidade Caixias do Sul
Date: 25-04-2019
Publisher: IEEE
Date: 10-2020
Publisher: FapUNIFESP (SciELO)
Date: 2019
Publisher: Trans Tech Publications, Ltd.
Date: 11-2012
DOI: 10.4028/WWW.SCIENTIFIC.NET/MSF.730-732.531
Abstract: This paper discusses the integrated use of rapid prototyping commercial technology and finite element method to support design of engineering components. The study was carried out on PolyJet RP technology. The resin properties were investigated by standard tests (ASTM) and used as input data on Abaqus software application. The results of the physical test were used to calibrate and validate the finite element model. Experimental tests were executed capturing critical loads and main forces acting on the geometric model and compared with the virtual model. The results showed small percentage differences between the physical and virtual models. Viscoelasticity of the resin was also detected in the analyzed physical model. Initial results have shown that the integration of these two technologies can assist in developing functional products, considering the technical limitations of the current prototype materials.
Publisher: Springer International Publishing
Date: 2020
Publisher: IEEE
Date: 05-2019
Publisher: UNISINOS - Universidade do Vale do Rio Dos Sinos
Date: 21-04-2015
Publisher: Editora Cubo
Date: 2012
Publisher: Springer International Publishing
Date: 2018
Publisher: Springer International Publishing
Date: 2018
Publisher: IGI Global
Date: 2018
DOI: 10.4018/978-1-5225-7598-6.CH114
Abstract: Performance testing is one of the vital activities spanning the whole life cycle of software engineering. As a result, there are a considerable number of performance testing products and open source tools available. It has been observed that most of the existing performance testing products and tools are either too expensive and complicated for small projects or too specific and simple for erse performance tests. In this chapter, the authors present an overview of existing performance test products/tools, provide a summary of some of the contemporary system performance testing frameworks, and capture the key requirements for a general-purpose performance testing framework. Based on previous works, the authors propose a system performance testing framework that is suitable for both simple and small as well as complicated and large-scale performance testing projects. The core of the framework contains an abstraction to facilitate performance testing by separating the application logic from the common performance testing functionality and a general-purpose data model.
Publisher: Springer Science and Business Media LLC
Date: 10-04-2018
Publisher: UPF Editora
Date: 17-09-2021
DOI: 10.5335/CIATEC.V13I2.12937
Abstract: O surto de um novo coronavírus marcou o século 21 e vem trazendo consequências devastadoras no mundo todo. A pandemia de COVID-19, até a data do presente artigo já ceifou mais de 3,7 milhões de vidas, infectando mais de 174 milhões de pessoas no planeta. Frente a este cenário, faz-se necessário um melhor aproveitamento e alocação de recursos. A teoria das filas, sendo uma importante ferramenta da Pesquisa Operacional (PO) que visa solucionar problemas de congestionamento de filas pode auxiliar no dimensionamento de sistemas e na tomada de decisão. Este artigo analisou o dimensionamento de uma UTI adulta dedicada a pacientes com COVID-19 no munícipio de Caxias do Sul, no Rio Grande do Sul. Para isso, os dados foram coletados no endereço eletrônico do Governo do Estado do Rio Grande do Sul e referem-se ao período de 01/04/2021 à 28/05/2021. Foi verificado que neste período a taxa de ocupação do sistema é próxima de 100%, com 97,27% de ocupação, o sistema está próximo de saturar. Dessa forma analisou-se um cenário aumentando o número de leitos de 48 para 60, com isso a taxa de ocupação seria de 77,82%, o que tornaria o sistema mais ágil.
Publisher: Institute of Electrical and Electronics Engineers (IEEE)
Date: 2019
Publisher: Institute of Electrical and Electronics Engineers (IEEE)
Date: 03-2018
Publisher: Scipedia, S.L.
Date: 10-2016
Publisher: Elsevier BV
Date: 06-2018
Publisher: FapUNIFESP (SciELO)
Date: 2022
DOI: 10.1590/1806-9649-2022V29E06
Abstract: Abstract The aim of this study is to conduct climate forecasting with models of artificial neural networks as a tool in the decision-making process for the planting of some types of agricultural products. A database with the main climate elements was built from the National Institute of Meteorology (INMET), and those elements that influenced the average temperature value the most were found at a significance level of 0.05. Models of Artificial Neural Networks were developed and tested using Mean Absolute Deviation (MAD), Mean Squared Error (MSE), Root-Mean Squared Error (RMSE), and Mean Absolute Percentage Error (MAPE), before being linked to the best agricultural cultivation forecast value. Twelve neural networks were elaborated, eight of them are related to the temperature forecast and the other four are related to the precipitation forecast. The networks that showed the best performance are those that consider all the elements of climate. It is possible to conclude that the artificial neural networks showed an adequate performance in predicting chaotic time series, and that their results were therefore linked to the optimum cultivation to use for each forecast. A schedule is supplied at the end, indicating the ideal time to plant each of the crops evaluated. Carrot is found to be the best suited crop for the forecasted range over the next five years.
Publisher: Springer Science and Business Media LLC
Date: 26-06-2012
Publisher: Oxford University Press (OUP)
Date: 17-11-2019
Abstract: Malware detection based on static features and without code disassembling is a challenging path of research. Obfuscation makes the static analysis of malware even more challenging. This paper extends static malware detection beyond byte level $n$-grams and detecting important strings. We propose a model (Byte2vec) with the capabilities of both binary file feature representation and feature selection for malware detection. Byte2vec embeds the semantic similarity of byte level codes into a feature vector (byte vector) and also into a context vector. The learned feature vectors of Byte2vec, using skip-gram with negative-s ling topology, are combined with byte-level term-frequency (tf) for malware detection. We also show that the distance between a feature vector and its corresponding context vector provides a useful measure to rank features. The top ranked features are successfully used for malware detection. We show that this feature selection algorithm is an unsupervised version of mutual information (MI). We test the proposed scheme on four freely available Android malware datasets including one obfuscated malware dataset. The model is trained only on clean APKs. The results show that the model outperforms MI in a low-dimensional feature space and is competitive with MI and other state-of-the-art models in higher dimensions. In particular, our tests show very promising results on a wide range of obfuscated malware with a false negative rate of only 0.3% and a false positive rate of 2.0%. The detection results on obfuscated malware show the advantage of the unsupervised feature selection algorithm compared with the MI-based method.
Publisher: Schloss Dagstuhl - Leibniz-Zentrum für Informatik
Date: 2020
Publisher: UPF Editora
Date: 17-09-2021
DOI: 10.5335/CIATEC.V13I2.12935
Abstract: Com a chegada da pandemia do COVID-19, ersos problemas na área da saúde começaram a ser identificados. Dentre eles, destaca-se a superlotação dos hospitais e a falta de leitos para atender toda a população. Posto isso, este estudo tem como objetivo aplicar métodos quantitativos de previsão de demanda em um município do Estado do Rio Grande do Sul, com o intuito de analisar as séries temporais sobre a ocupação de leitos hospitalares em um determinado período de enfretamento da pandemia do coronavírus. Dessa forma, os resultados possibilitaram evidenciar o modelo matemático mais adequado para a problemática tratada, analisar os resultados graficamente e calcular os erros relacionados, assim como apoiar os processos decisórios e a formulação de estratégias eficientes na área em questão.
Publisher: Institute of Electrical and Electronics Engineers (IEEE)
Date: 03-2020
Publisher: Springer International Publishing
Date: 2020
Publisher: IEEE
Date: 04-2019
Publisher: FapUNIFESP (SciELO)
Date: 05-2021
DOI: 10.1590/S1414-40772021000200005
Abstract: A gestão da ocupação docente em instituições de ensino superior é um problema que afeta universidades públicas e, principalmente, as privadas. Uma distribuição justa de tarefas aos docentes repercute diretamente na qualidade do ensino, na produção de conhecimento, na sustentabilidade institucional e, principalmente, na saúde dos docentes. Neste trabalho é proposto um método para avaliação da composição da carga de trabalho com base em uma ferramenta chamada Processo Analítico Hierárquico, visando a equidade em termos de carga de trabalho (o que não significa o mesmo que equidade das cargas-horárias nas diferentes atividades docentes). Como principal contribuição, é proposta uma métrica, chamada Coeficiente de Carga de Trabalho, que pode ser facilmente adaptada a realidade de cada instituição. Apesar das bases matemáticas, quando implementada computacionalmente, a utilização dessa métrica passa a ser simples e acessível a gestores de qualquer formação.
Publisher: FapUNIFESP (SciELO)
Date: 2022
Publisher: IEEE
Date: 11-2020
Publisher: SAE International
Date: 10-02-2022
DOI: 10.4271/2021-36-0419
Publisher: ACM
Date: 08-04-2019
Publisher: IEEE
Date: 07-2018
Publisher: EDIPUCRS
Date: 25-07-2018
DOI: 10.15448/1980-6523.2017.4.28877
Abstract: OBJECTIVE: This 3-D FEA study compared the stress distribution in two-implant mandibular overdentures as a function of implant position and attachment system (LA: locator attachment vs. BA: ball attachment).METHODS: Four models of mandibular overdentures were tested: M1-LA – with implants at the canine regions (standard implant position) and LA M2-LA – with implants placed at the first premolar regions (distalized implant position) and LA M1-BA – with standard implant position and BA and M2-BA – with distalized implant position and BA. The geometric models were converted into finite element models. A 100 N axial load was applied at the first molar region. The von-Mises stress distribution was compared in selected points.RESULTS: The models with BA had pattern of stress distribution was more uniform along the implant axis than the ones with LA, although the stress magnitude was larger. The largest area of von Mises stresses on the alveolar ridge was in the models with standard implant distribution.CONCLUSION: The findings showed that the models with BA had better biomechanical behavior than the ones with LA. For both types of attachment, the models with increased inter-implant distance presented a smaller area of stress distribution in the perimplant cortical bone tissue than the standard implant position.
Publisher: Springer International Publishing
Date: 2019
Publisher: FapUNIFESP (SciELO)
Date: 07-06-2012
Publisher: Springer International Publishing
Date: 2020
Publisher: South Florida Publishing LLC
Date: 14-01-2022
DOI: 10.34117/BJDV8N1-266
Abstract: O processo de furação convencional é obtido por uma ferramental multicortante, de geometria definida e é um processo empregado em larga escala na indústria. O processo de furação por escoamento é um processo com poucas aplicações quando comparado a furação convencional e trabalha com uma ferramenta em alta rotação que é pressionada contra a superfície do material que será perfurado, gerando atrito entre a ferramenta e o material da chapa, resultando numa perfuração considerada especial pelo estado da arte e que gera como resultado uma bucha escoada que é utilizada para um posterior processo de roscagem. Pretende-se avaliar o comportamento do material STRENX 700 MCD um aço de alta resistência e baixo carbono que combina alta resistência e grande ductilidade. Objetivando avaliar o desgaste e a vida útil das ferramentas em furação convencional e furação por escoamento na manufatura do aço STRENX 700 MCD e esta pesquisa serve para contribuir com a fundamentação teórica no intuito de desenvolver novas estratégias para mitigar estes defeitos e buscar uma maior produtividade. Por fim, constata-se que a furação convencional a baixa rotação e velocidade de avanço com lubrificação MQL apresenta qualidade e usinabilidade razoável para o aço STRENX 700 com um custo de R$ 0.04 por furo. Já a furação por escoamento com uma rotação e velocidade de avanço bem maior à Seco apresenta uma qualidade e furação razoável para o aço STRENX 700 com um custo de R$ 0,81 por furo, representando 95% de diferença de custos entre os processos e que se deve avaliar a aplicação no momento da escolha do processo considerando questões sociais, econômicas e ambientais na busca da sustentabilidade industrial.
Publisher: Elsevier BV
Date: 11-2019
Publisher: Association for Computing Machinery (ACM)
Date: 27-08-2019
DOI: 10.1145/3338851
Abstract: This article studies synchronous online distributed software update, also known as rolling upgrade in DevOps, which in clouds upgrades software versions in virtual machine instances even when various failures may occur. The goal is to minimise completion time, availability degradation, and monetary cost for entire rolling upgrade by selecting proper parameters. For this goal, we propose a stochastic model and a novel optimisation method. We validate our approach to minimise the objectives through both experiments in Amazon Web Service (AWS) and simulations.
Publisher: IEEE
Date: 11-2020
Publisher: Springer Singapore
Date: 2019
Publisher: APESC - Associacao Pro-Ensino em Santa Cruz do Sul
Date: 05-07-2021
DOI: 10.17058/TECNOLOG.V25I2.16425
Abstract: A concorrência de mercado estimula as organizações a buscarem inovações, com o objetivo de alcançarem posição de destaque, trazendo diferenciais para o segmento em que atuam. Essa competitividade severa faz com que, também, seja necessário às empresas procurar formas de redução de custos, otimização de processos a acuracidade na previsão de demanda é fator essencial para o aprimoramento da produtividade, a gestão de estoque, a redução de lead time, contribuindo para a melhora dos resultados da empresa. Este trabalho tem como objetivo utilizar modelos matemáticos de séries temporais e inteligência artificial para verificar qual método possui maior acuracidade nas previsões de demanda dos principais produtos de uma organização do segmento de sistemas de iluminação automotivo. Para o método de Redes Neurais Artificiais (RNA), buscou-se otimizá-lo, utilizando-se configurações em relação ao número de neurônios e diferentes algoritmos de treinamento para encontrar os modelos mais assertivos. Por meio da aplicação dos erros de previsão MAPE e MAE, constatou-se que determinadas configurações de RNA são os métodos de melhor acuracidade para realização das previsões dos produtos analisados, em que foi possível concluir que, em média, os erros de previsão da RNA otimizada são de 3,25 vezes (para o MAPE) e de 4 vezes (para o MAE) menor em relação ao método atual da empresa.
Publisher: Hindawi Limited
Date: 2017
DOI: 10.1155/2017/2324316
Abstract: In real-world structural problems, a number of factors may cause geometric imperfections, load variability, or even uncertainties in material properties. Therefore, a deterministic optimization procedure may fail to account such uncertainties present in the actual system leading to optimum designs that are not reliable the designed system may show excessive safety or sometimes not sufficient reliability to carry applied load due to uncertainties. In this paper, we introduce a hybrid reliability-based design optimization (RBDO) algorithm based on the genetic operations of Genetic Algorithm, the position and velocity update of the Particle Swarm Algorithm (for global exploration), and the sequential quadratic programming, for local search. The First-Order Reliability Method is used to account uncertainty in design and parameter variables and to evaluate the associated reliability. The hybrid method is analyzed based on RBDO benchmark ex les that range from simple to complex truss parametric sizing optimizations with stress, displacements, and frequency deterministic and probabilistic constraints. The proposed final problem, which cannot be handled by single loop RBDO algorithms, highlights the importance of the proposed approach in cases where the discrete design variables are also random variables.
Publisher: Springer International Publishing
Date: 2019
Publisher: ACM
Date: 27-05-2018
Publisher: IEEE
Date: 05-2018
Publisher: Mastology
Date: 2023
DOI: 10.29289/2594539420220041
Abstract: Introduction: Breast cancer is the object of thousands of studies worldwide. Nevertheless, few tools are available to corroborate prediction of response to neoadjuvant chemotherapy. Artificial intelligence is being researched for its potential utility in several fields of knowledge, including oncology. The development of a standardized Artificial intelligence-based predictive model for patients with breast cancer may help make clinical management more personalized and effective. We aimed to apply Artificial intelligence models to predict the response to neoadjuvant chemotherapy based solely on clinical and pathological data. Methods: Medical records of 130 patients treated with neoadjuvant chemotherapy were reviewed and ided into two groups: 90 s les to train the network and 40 s les to perform prospective testing and validate the results obtained by the Artificial intelligence method. Results: Using clinicopathologic data alone, the artificial neural network was able to correctly predict pathologic complete response in 83.3% of the cases. It also correctly predicted 95.6% of locoregional recurrence, as well as correctly determined whether patients were alive or dead at a given time point in 90% of the time. To date, no published research has used clinicopathologic data to predict the response to neoadjuvant chemotherapy in patients with breast cancer, thus highlighting the importance of the present study. Conclusions: Artificial neural network may become an interesting tool for predicting response to neoadjuvant chemotherapy, locoregional recurrence, systemic disease progression, and survival in patients with breast cancer.
Publisher: IEEE
Date: 03-2019
Publisher: IEEE
Date: 11-2020
Publisher: IEEE
Date: 07-2018
Publisher: Research, Society and Development
Date: 12-03-2023
Abstract: This study aims to develop a decision support tool for patients and surgeons dealing with the uncertainty of surgical outcomes and the expectations of both parties for treating symptomatic lumbar disc herniation (LDH). The study uses a mixed-methods approach with Markov Chains (MC) and Analytic Hierarchy Process (AHP) to predict future health states after surgery for LDH, based on patient-reported outcomes measures (PROMs) and custom weights to each in idual PROM and elicited priorities. A case-based analysis of two patients is presented to demonstrate the utility of the model in providing a likely trajectory that priority PROMs will follow over time. The study was conducted under the STROBE guidelines as a post hoc analysis of a large spine outcomes research study conducted in southern Brazil. Data were collected from patients operated between 2006 and 2017 to assess pain, disability, mood, and general health status from the preoperative time point to 1 year after surgery using patient-reported outcome questionnaires. The output of the algorithm represented the chances of surgery fulfilling the expectations of Patients A and B. The results presented by the tool suggest that Patient A will have a considerably higher probability of satisfaction and/or not meeting expectations with surgery than Patient B. The study demonstrates the feasibility and utility of a data-driven decision support tool that takes into account patient preferences and beliefs in generating high-quality decision-making and more utility for long-term outcomes in treating symptomatic lumbar disc herniation.
Publisher: FapUNIFESP (SciELO)
Date: 2022
DOI: 10.1590/0103-8478CR20200840
Abstract: ABSTRACT: The Markov stochastic chain model and the analytical hierarchy process (AHP) were used as tools to support decision-making for the best crop-planting choice in the city of Caxias do Sul, Brazil. Temperature and precipitation information were collected from the Meteorological Database for Teaching and Research of the National Institute of Meteorology of Brazil for the period 1997-2017. The stochastic model was applied to obtain the probability of transition between a range of variations for temperature and precipitation. In the second phase of the study, an algebraic model was developed, making it possible to link the probability of the Markov chain transition matrix to the AHP judgment matrix. In the third phase, the AHP was applied as a tool to determine the most beneficial crop that could be planted for the studied city, considering the evaluated criteria: temperature, precipitation, and soil pH. The alternatives for crop planting were carrots, tomatoes, apples, and grapes. These were chosen because they are the most-planted crops in the city of Caxias do Sul. The ranking of the benefit-force results of applying the model for spring was carrots (0.297), apples (0.259), grapes (0.228), and tomatoes (0.215) for summer: grapes (0.261), tomatoes (0.261), apples (0.238), and carrots (0.230) for autumn: carrots (0.316), grapes (0.243), tomatoes (0.228), and apples (0.213) and for winter: carrots (0.327), tomatoes (0.235), apples (0.222), and grapes (0.216). Thus, it was concluded that farmers would have a better chance of success if they planted carrots during the spring, autumn, and winter, and grapes during the summer.
Publisher: IEEE
Date: 07-2020
Publisher: ASME International
Date: 18-11-2015
DOI: 10.1115/1.4031938
Abstract: The study presents a numerical methodology for minimizing the bone loss in human femur submitted to total hip replacement (THR) procedure with focus on cemented femoral stem. Three-dimensional computational models were used to describe the femoral bone behavior. An optimization procedure using the genetic algorithm (GA) method was applied in order to minimize the bone loss, considering the geometry and the material of the prosthesis as well as the design of the stem. Internal and external bone remodeling were analyzed numerically. The numerical method proposed here showed that the bone mass loss could be reduced by 24%, changing the design parameters.
Publisher: Wiley
Date: 05-09-2019
DOI: 10.1002/SPE.2744
Publisher: Wiley
Date: 02-2011
Publisher: Elsevier BV
Date: 11-2019
DOI: 10.1016/J.BJID.2019.10.005
Abstract: Papiliotrema laurentii is one of several non-neoformans cryptococci that have rarely been associated with human infection, since it was previously considered saprophyte and thought to be non-pathogenic to humans. Nevertheless, increasing number of reports of human infection have emerged in recent years, mostly in oncologic patients. To report a case of a female patient with pyloric obstructive cancer with a catheter-related Papiliotrema laurentii blood stream infection and systematically review the available evidence on P. laurentii infection in humans. Retrieval of studies was based on Medical Subject Headings and Health Sciences Descriptors, which were combined using Boolean operators. Searches were run on the electronic databases Scopus, Web of Science, MEDLINE (PubMed), BIREME (Biblioteca Regional de Medicina), LILACS (Latin American and Caribbean Health Sciences Literature), Cochrane Library for Systematic Reviews and Opengray.eu. There was no language or date of publication restrictions. The reference lists of the studies retrieved were searched manually. The search strategy retrieved 1703 references. In the final analysis, 31 references were included, with the description of 35 cases. Every patient but one had a previous co-morbidity - 48.4 % of patients had a neoplasm. Amphotericin B was the most used treatment and only a single case of resistance to it was reported. Most patients were cured of the infection. P. laurentii infection in humans is usually associated to neoplasia and multiple co-morbidities, and hotericin B seems to be a reliable agent for treatment.
Publisher: Elsevier BV
Date: 2022
DOI: 10.1016/J.SPINEE.2021.04.009
Abstract: Female physicians rarely choose spine surgery as their specialty. Although the specialty's nature and its associated lifestyle are potential barriers, gender-related issues may play an important part. To evaluate the gender discrimination among spine surgeons across Latin America. Cross-sectional survey. The participants in this study were 223 AO Spine Latin America (AOSLA) registered members who answered the web-based survey. Personal and professional demographics gender-related objective and subjective experiences regarding career and personal life. A survey link containing a 24-item questionnaire was sent to the members' e-mails in September 2019. The survey was designed to evaluate the perception of gender discrimination by spine surgeons during their academic and professional lives. Out of 223 members who answered the survey, 196 (87.96%) were male and 27 (12.11%) female. Most were orthopedic surgeons (64.13%), ≥40 years of age (55.16%), and had <20 years of experience (69.95%). Gender discrimination was more frequent among women than among men (66.67% vs. 1.02%), as did discouragement from becoming a spine surgeon, orthopedic surgeon, or neurosurgeon (81.48% vs. 0.51%). Females reported higher rates of sexual harassment (44.44% vs. 7.65%) and more often felt disadvantaged because of gender (55.56% vs. 2.55%). Working harder than men to achieve the same prestige and lack of female mentorship were the most common obstacles reported by women (55.56%). Residency/fellowship influenced the decision to postpone/avoid having children for 66.67% of women but only 37.75% of men. Creation of a Women's Committee in AO Spine was supported by 74.07% of women and 38.78% of men. Gender-based discrimination affects women more frequently than men in spine surgery. These experiences likely contribute to the low prevalence of female spine surgeons. Efforts to mitigate bias and support the professional development of women in neurosurgery, orthopedics and spine communities are encouraged.
Publisher: Universidade de Sao Paulo, Agencia USP de Gestao da Informacao Academica (AGUIA)
Date: 22-12-2019
DOI: 10.11606/ISSN.2176-7262.V52I4P287-294
Abstract: Uma organização não depende somente do quanto ela fatura com seus produtos e serviços, mas também do quanto ela gasta, por isso, redução de custos é tão importante, podendo até ser o diferencial para uma empresa se manter no mercado. Este artigo apresenta um estudo de caso de Programação Dinâmica aplicada a compras de vacina em um hospital, a fim de otimizar a maneira que é realizada as compras e reduzir seus custos. Para isso, foram coletadas informações relacionadas a aquisição da mercadoria e estoque. O resultado obtido com o modelo de otimização foi comparado com o cenário atual do hospital, e foi observada uma possível redução de 5,57%, representando quase R$ 100.000,00.
Publisher: FapUNIFESP (SciELO)
Date: 2012
Publisher: Research, Society and Development
Date: 02-01-2023
Abstract: Infection control teams collect and produce information on epidemiologic surveillance for prevention of Healthcare Associated Infections (HAIs). Value Stream Mapping (VSM) is a Lean method for developing process through flow efficiency. The aim of the study was to use VSM to identify opportunities for improvement in the infection control department. Flow of information and infection control activities were reviewed using VSM and a questionnaire, where time required for each task was measured. The actual VSM went through multidisciplinary analysis and an ideal VSM was created without considering resource limits. The ideal VSM was reviewed to identify the improvements easily implemented and the ones that would require more time or resources. The actual VSM analysis addressed work overload for Key Performance Indicators (KPI) production, data management (fragmentation, access and redundant work, storage, time between tasks, time typing) and tasks performed retrospectively, when less information is available and with no opportunity to correct protocol deviation. The implementation of the ideal VSM provided a faster and more efficient HAIs analysis, London protocol for HAI cases and surgical prophylaxis evaluation became real time tasks, and all surgical surveillance was improved. A mobile app was proposed as an intervention and became a long-term project. If completely implemented, the ideal VSM would result in 15.7 less work hours/month, having the working time optimized for patient care. VSM is an important tool for epidemiologic surveillance in infection control allowing better data management, continuous workflow, and new information production with potentially fewer work hours.
Publisher: IEEE
Date: 05-2018
Publisher: FapUNIFESP (SciELO)
Date: 2021
Publisher: UPF Editora
Date: 28-08-2022
DOI: 10.5335/CIATEC.V14I2.13783
Abstract: A previsão de demanda é essencial para a melhoria da performance operacional das organizações, bem como na tomada de decisão nos processos de planejamento e programação da produção. Diante deste contexto, esta pesquisa objetivou aplicar e comparar os resultados de oito métodos quantitativos de previsão de demanda, classificados como sazonais e não sazonais, em um estudo de caso em uma indústria metalmecânica. Desta forma, os métodos foram utilizados na previsão de três produtos fundidos, denominados arbitrariamente como A, Be C, e os dados foram obtidos na empresa fabricante destes produtos. Para tanto, utilizou-se o software Excel para realizar as aplicações e a criação das séries temporais e das métricas de acuracidade. Como conclusões, destaca-se que o Método Multiplicativo de Winters obteve o melhor resultado para os produtos A e C. Por outro lado, para o produto B, o melhor resultado foi encontrado com o Método Aditivo de Winters. Logo, os modelos sazonais apresentaram os melhores resultados para os presentes produtos. Isto posto, com a atuação com os métodos de previsão de demanda nesta pesquisa, foi possível demonstrar a aplicação teórico-prática em um estudo de caso, entender o comportamento dos produtos analisados, e apoiar a organização em questão, no que tange a tomada de decisão e a formulação de estratégias eficientes na área.
Publisher: Institute of Electrical and Electronics Engineers (IEEE)
Date: 2019
Publisher: Informa UK Limited
Date: 25-02-2015
Publisher: Research, Society and Development
Date: 15-09-2022
DOI: 10.33448/RSD-V11I12.34710
Abstract: The objective of this study was to evaluate, by means of computer simulation, the difference in mechanical strength between two plate models straight and wave used in femur fracture fixation, submitting both to a progressive static axial load. There are criteria to evaluate the yield strength of a material: Tresca, Von Mises and Mohr-Coulomb. In this study, the Von-Mises strain criterion theory was used because it is used in fatigue strength tests of ductile materials, in this case, stainless steel. This criterion, indicates that the yielding of a solid material begins when it reaches a critical stress value. The models were built computationally using 3D modeling software. The finite element mathematical method was used to evaluate the stress and strain curve, two elements considered fundamental to verify the behavior of the metal during the application of stress and the displacement of the plates, to thus evaluate the strength of each. The results obtained after the finite element analysis show that the plates do not reach the critical limit for yielding, but the straight plate absorbs 10 times more stress compared to the wave plate. The wave plate allows the conclusion that there is decomposition of the applied force. Both plates remain in the elastic regime with load up to 1000 N. The load is equivalent to the weight of the body and gravity. It was concluded that the axial force applied in the caudal direction decomposes into resulting ones compared to the straight plate, which absorbs all the load and may reach the critical limit for yielding before the wave plate.
Publisher: Institute of Electrical and Electronics Engineers (IEEE)
Date: 02-2016
Publisher: Copernicus GmbH
Date: 30-04-2018
DOI: 10.5194/ISPRS-ARCHIVES-XLII-3-665-2018
Abstract: Abstract. This paper briefly describes the post-processing influence assessment experiment, the experiment includes three steps: the physical simulation, image processing, and image quality assessment. The physical simulation models s led imaging system in laboratory, the imaging system parameters are tested, the digital image serving as image processing input are produced by this imaging system with the same imaging system parameters. The gathered optical s led images with the tested imaging parameters are processed by 3 digital image processes, including calibration pre-processing, lossy compression with different compression ratio and image post-processing with different core. Image quality assessment method used is just noticeable difference (JND) subject assessment based on ISO20462, through subject assessment of the gathered and processing images, the influence of different imaging parameters and post-processing to image quality can be found. The six JND subject assessment experimental data can be validated each other. Main conclusions include: image post-processing can improve image quality image post-processing can improve image quality even with lossy compression, image quality with higher compression ratio improves less than lower ratio with our image post-processing method, image quality is better, when camera MTF being within a small range.
No related grants have been discovered for Leandro Corso.