Search results for: Brando Vagenende

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Vagenende</title> <meta name="description" content="Search results for: Brando Vagenende"> <meta name="keywords" content="Brando Vagenende"> <meta name="viewport" content="width=device-width, initial-scale=1, minimum-scale=1, maximum-scale=1, user-scalable=no"> <meta charset="utf-8"> <link href="https://cdn.waset.org/favicon.ico" type="image/x-icon" rel="shortcut icon"> <link href="https://cdn.waset.org/static/plugins/bootstrap-4.2.1/css/bootstrap.min.css" rel="stylesheet"> <link href="https://cdn.waset.org/static/plugins/fontawesome/css/all.min.css" rel="stylesheet"> <link href="https://cdn.waset.org/static/css/site.css?v=150220211555" rel="stylesheet"> </head> <body> <header> <div class="container"> <nav class="navbar navbar-expand-lg navbar-light"> <a class="navbar-brand" href="https://waset.org"> <img src="https://cdn.waset.org/static/images/wasetc.png" alt="Open Science Research Excellence" title="Open Science Research Excellence" /> </a> <button class="d-block d-lg-none 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action="https://publications.waset.org/abstracts/search"> <div id="custom-search-input"> <div class="input-group"> <i class="fas fa-search"></i> <input type="text" class="search-query" name="q" placeholder="Author, Title, Abstract, Keywords" value="Brando Vagenende"> <input type="submit" class="btn_search" value="Search"> </div> </div> </form> </div> </div> <div class="row mt-3"> <div class="col-sm-3"> <div class="card"> <div class="card-body"><strong>Commenced</strong> in January 2007</div> </div> </div> <div class="col-sm-3"> <div class="card"> <div class="card-body"><strong>Frequency:</strong> Monthly</div> </div> </div> <div class="col-sm-3"> <div class="card"> <div class="card-body"><strong>Edition:</strong> International</div> </div> </div> <div class="col-sm-3"> <div class="card"> <div class="card-body"><strong>Paper Count:</strong> 3</div> </div> </div> </div> <h1 class="mt-3 mb-3 text-center" style="font-size:1.6rem;">Search results for: Brando Vagenende</h1> <div class="card paper-listing mb-3 mt-3"> <h5 class="card-header" style="font-size:.9rem"><span class="badge badge-info">3</span> Geometric and Algebraic Properties of the Eigenvalues of Monotone Matrices</h5> <div class="card-body"> <p class="card-text"><strong>Authors:</strong> <a href="https://publications.waset.org/abstracts/search?q=Brando%20Vagenende">Brando Vagenende</a>, <a href="https://publications.waset.org/abstracts/search?q=Marie-Anne%20Guerry"> Marie-Anne Guerry</a> </p> <p class="card-text"><strong>Abstract:</strong></p> For stochastic matrices of any order, the geometric description of the convex set of eigenvalues is completely known. The purpose of this study is to investigate the subset of the monotone matrices. This type of matrix appears in contexts such as intergenerational occupational mobility, equal-input modeling, and credit ratings-based systems. Monotone matrices are stochastic matrices in which each row stochastically dominates the previous row. The monotonicity property of a stochastic matrix can be expressed by a nonnegative lower-order matrix with the same eigenvalues as the original monotone matrix (except for the eigenvalue 1). Specifically, the aim of this research is to focus on the properties of eigenvalues of monotone matrices. For those matrices up to order 3, there already exists a complete description of the convex set of eigenvalues. For monotone matrices of order at least 4, this study gives, through simulations, more insight into the geometric description of their eigenvalues. Furthermore, this research treats in a geometric and algebraic way the properties of eigenvalues of monotone matrices of order at least 4. <p class="card-text"><strong>Keywords:</strong> <a href="https://publications.waset.org/abstracts/search?q=eigenvalues%20of%20matrices" title="eigenvalues of matrices">eigenvalues of matrices</a>, <a href="https://publications.waset.org/abstracts/search?q=finite%20Markov%20chains" title=" finite Markov chains"> finite Markov chains</a>, <a href="https://publications.waset.org/abstracts/search?q=monotone%20matrices" title=" monotone matrices"> monotone matrices</a>, <a href="https://publications.waset.org/abstracts/search?q=nonnegative%20matrices" title=" nonnegative matrices"> nonnegative matrices</a>, <a href="https://publications.waset.org/abstracts/search?q=stochastic%20matrices" title=" stochastic matrices"> stochastic matrices</a> </p> <a href="https://publications.waset.org/abstracts/179294/geometric-and-algebraic-properties-of-the-eigenvalues-of-monotone-matrices" class="btn btn-primary btn-sm">Procedia</a> <a href="https://publications.waset.org/abstracts/179294.pdf" target="_blank" class="btn btn-primary btn-sm">PDF</a> <span class="bg-info text-light px-1 py-1 float-right rounded"> Downloads <span class="badge badge-light">80</span> </span> </div> </div> <div class="card paper-listing mb-3 mt-3"> <h5 class="card-header" style="font-size:.9rem"><span class="badge badge-info">2</span> Optimization of 3D Printing Parameters Using Machine Learning to Enhance Mechanical Properties in Fused Deposition Modeling (FDM) Technology</h5> <div class="card-body"> <p class="card-text"><strong>Authors:</strong> <a href="https://publications.waset.org/abstracts/search?q=Darwin%20Junnior%20Sabino%20Diego">Darwin Junnior Sabino Diego</a>, <a href="https://publications.waset.org/abstracts/search?q=Brando%20Burgos%20Guerrero"> Brando Burgos Guerrero</a>, <a href="https://publications.waset.org/abstracts/search?q=Diego%20Arroyo%20Villanueva"> Diego Arroyo Villanueva</a> </p> <p class="card-text"><strong>Abstract:</strong></p> Additive manufacturing, commonly known as 3D printing, has revolutionized modern manufacturing by enabling the agile creation of complex objects. However, challenges persist in the consistency and quality of printed parts, particularly in their mechanical properties. This study focuses on addressing these challenges through the optimization of printing parameters in FDM technology, using Machine Learning techniques. Our aim is to improve the mechanical properties of printed objects by optimizing parameters such as speed, temperature, and orientation. We implement a methodology that combines experimental data collection with Machine Learning algorithms to identify relationships between printing parameters and mechanical properties. The results demonstrate the potential of this methodology to enhance the quality and consistency of 3D printed products, with significant applications across various industrial fields. This research not only advances understanding of additive manufacturing but also opens new avenues for practical implementation in industrial settings. <p class="card-text"><strong>Keywords:</strong> <a href="https://publications.waset.org/abstracts/search?q=3D%20printing" title="3D printing">3D printing</a>, <a href="https://publications.waset.org/abstracts/search?q=additive%20manufacturing" title=" additive manufacturing"> additive manufacturing</a>, <a href="https://publications.waset.org/abstracts/search?q=machine%20learning" title=" machine learning"> machine learning</a>, <a href="https://publications.waset.org/abstracts/search?q=mechanical%20properties" title=" mechanical properties"> mechanical properties</a> </p> <a href="https://publications.waset.org/abstracts/185830/optimization-of-3d-printing-parameters-using-machine-learning-to-enhance-mechanical-properties-in-fused-deposition-modeling-fdm-technology" class="btn btn-primary btn-sm">Procedia</a> <a href="https://publications.waset.org/abstracts/185830.pdf" target="_blank" class="btn btn-primary btn-sm">PDF</a> <span class="bg-info text-light px-1 py-1 float-right rounded"> Downloads <span class="badge badge-light">51</span> </span> </div> </div> <div class="card paper-listing mb-3 mt-3"> <h5 class="card-header" style="font-size:.9rem"><span class="badge badge-info">1</span> Association between G2677T/A MDR1 Polymorphism with the Clinical Response to Disease Modifying Anti-Rheumatic Drugs in Rheumatoid Arthritis</h5> <div class="card-body"> <p class="card-text"><strong>Authors:</strong> <a href="https://publications.waset.org/abstracts/search?q=Alan%20Ruiz-Padilla">Alan Ruiz-Padilla</a>, <a href="https://publications.waset.org/abstracts/search?q=Brando%20Villalobos-Villalobos"> Brando Villalobos-Villalobos</a>, <a href="https://publications.waset.org/abstracts/search?q=Yeniley%20Ruiz-Noa"> Yeniley Ruiz-Noa</a>, <a href="https://publications.waset.org/abstracts/search?q=Claudia%20Mendoza-Mac%C3%ADas"> Claudia Mendoza-Mac铆as</a>, <a href="https://publications.waset.org/abstracts/search?q=Claudia%20Palafox-S%C3%A1nchez"> Claudia Palafox-S谩nchez</a>, <a href="https://publications.waset.org/abstracts/search?q=Miguel%20Mar%C3%ADn-Rosales"> Miguel Mar铆n-Rosales</a>, <a href="https://publications.waset.org/abstracts/search?q=%C3%81lvaro%20Cruz"> 脕lvaro Cruz</a>, <a href="https://publications.waset.org/abstracts/search?q=Rub%C3%A9n%20Rangel-Salazar"> Rub茅n Rangel-Salazar </a> </p> <p class="card-text"><strong>Abstract:</strong></p> Introduction: In patients with rheumatoid arthritis, resistance or poor response to disease modifying antirheumatic drugs (DMARD) may be a reflection of the increase in g-P. The expression of g-P may be important in mediating the effluence of DMARD from the cell. In addition, P-glycoprotein is involved in the transport of cytokines, IL-1, IL-2 and IL-4, from normal lymphocytes activated to the surrounding extracellular matrix, thus influencing the activity of RA. The involvement of P-glycoprotein in the transmembrane transport of cytokines can serve as a modulator of the efficacy of DMARD. It was shown that a number of lymphocytes with glycoprotein P activity is increased in patients with RA; therefore, P-glycoprotein expression could be related to the activity of RA and could be a predictor of poor response to therapy. Objective: To evaluate in RA patients, if the G2677T/A MDR1 polymorphisms is associated with differences in the rate of therapeutic response to disease-modifying antirheumatic agents in patients with rheumatoid arthritis. Material and Methods: A prospective cohort study was conducted. Fifty seven patients with RA were included. They had an active disease according to DAS-28 (score >3.2). We excluded patients receiving biological agents. All the patients were followed during 6 months in order to identify the rate of therapeutic response according to the American College of Rheumatology (ACR) criteria. At the baseline peripheral blood samples were taken in order to identify the G2677T/A MDR1 polymorphisms using PCR- Specific allele. The fragment was identified by electrophoresis in polyacrylamide gels stained with ethidium bromide. For statistical analysis, the genotypic and allelic frequencies of MDR1 gene polymorphism between responders and non-responders were determined. Chi-square tests as well as, relative risks with 95% confidence intervals (95%CI) were computed to identify differences in the risk for achieving therapeutic response. Results: RA patients had a mean age of 47.33 卤 12.52 years, 87.7% were women with a mean for DAS-28 score of 6.45 卤 1.12. At the 6 months, the rate of therapeutic response was 68.7 %. The observed genotype frequencies were: for G/G 40%, T/T 32%, A/A 19%, G/T 7% and for A/A genotype 2%. Patients with G allele developed at 6 months of treatment, higher rate for therapeutic response assessed by ACR20 compared to patients with others alleles (p=0.039). Conclusions: Patients with G allele of the - G2677T/A MDR1 polymorphisms had a higher rate of therapeutic response at 6 months with DMARD. These preliminary data support the requirement for a deep evaluation of these and other genotypes as factors that may influence the therapeutic response in RA. <p class="card-text"><strong>Keywords:</strong> <a href="https://publications.waset.org/abstracts/search?q=pharmacogenetics" title="pharmacogenetics">pharmacogenetics</a>, <a href="https://publications.waset.org/abstracts/search?q=MDR1" title=" MDR1"> MDR1</a>, <a href="https://publications.waset.org/abstracts/search?q=P-glycoprotein" title=" P-glycoprotein"> P-glycoprotein</a>, <a href="https://publications.waset.org/abstracts/search?q=therapeutic%20response" title=" therapeutic response"> therapeutic response</a>, <a href="https://publications.waset.org/abstracts/search?q=rheumatoid%20arthritis" title=" rheumatoid arthritis"> rheumatoid arthritis</a> </p> <a href="https://publications.waset.org/abstracts/96486/association-between-g2677ta-mdr1-polymorphism-with-the-clinical-response-to-disease-modifying-anti-rheumatic-drugs-in-rheumatoid-arthritis" class="btn btn-primary btn-sm">Procedia</a> <a href="https://publications.waset.org/abstracts/96486.pdf" target="_blank" class="btn btn-primary btn-sm">PDF</a> <span class="bg-info text-light px-1 py-1 float-right rounded"> Downloads <span class="badge badge-light">208</span> </span> </div> </div> </div> </main> <footer> <div id="infolinks" class="pt-3 pb-2"> <div class="container"> <div style="background-color:#f5f5f5;" class="p-3"> <div class="row"> <div class="col-md-2"> <ul class="list-unstyled"> About <li><a href="https://waset.org/page/support">About Us</a></li> <li><a href="https://waset.org/page/support#legal-information">Legal</a></li> <li><a target="_blank" rel="nofollow" href="https://publications.waset.org/static/files/WASET-16th-foundational-anniversary.pdf">WASET celebrates its 16th 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Search results for: Brando Vagenende