465 research outputs found
JOAO WANDERLEY GERALDI: THE LINGUIST RESEARCHER, TRAINING TEACHER AND UNIQUE BRAZILIAN READER OF BAKHTIN AND HIS STUDY CIRCLE
No full textThis article aims to honor and discuss our meeting with Joao Wanderley Geraldi, the linguist researcher, teacher trainer and unique reader of Bakhtin and his Study circle. Our subject matter in this paper is the meetings we held with the author in his research and teaching activities throughout his years of activism, and in specially during the Linguistics V program taken at Unicamp in 2005. From mediations with Geraldi on language studies, we chose to share our understanding of speech genres - involving life and education - that converge around this construction. Finally, we show how this knowledge guides us to maintain the inseparable relationship between language and literature in dialogue through a poem by Manoel de Barros, a poet who was also introduced to us by Geraldi.Univ Fed Santa Catarina UFSC, Programa Posgrad Linguist PPGL UFSC, Florianopolis, BrazilUniv Fed Santa Catarina, GEBAP Grp Estudos Bakhtinianos Pampa, Nucleo Estudos & Pesquisas Alfabetizacao & Ensino, Florianopolis, BrazilUniv Fed Santa Catarina, NEPALP, Nucleo Estudos & Pesquisas Alfabetizacao & Ensino, Florianopolis, BrazilNELA UFSC, Nucleo Estudos Linguist Aplicada, Florianopolis, BrazilGrp UNESP, Grp Estudos Alfabetizacao Brasil, Sao Paulo, BrazilUNIPAMPA Univ Fed Pampa, Curso Letras Linguas Adicionais, Campus Bage, RS, BrazilGEBAP Grp Estudos Bakhtinianos Pampa, Bage, BrazilGrp UNESP, Grp Estudos Alfabetizacao Brasil, Sao Paulo, Brazi
Long-term safety and efficacy of subcutaneous immunoglobulin IgPro20 in CIDP PATH extension study
No full textObjective To investigate the long-term safety and efficacy of weekly subcutaneous IgPro20 (Hizentra, CSL Behring) in chronic inflammatory demyelinating polyneuropathy (CIDP). Methods In a 48-week open-label prospective extension study to the PATH study, patients were initially started on 0.2 g/kg or on 0.4 g/kg weekly and-if clinically stable-switched to 0.2 g/kg weekly after 24 weeks. Upon CIDP relapse on the 0.2 g/kg dose, 0.4 g/kg was (re)initiated. CIDP relapse was defined as a deterioration by at least 1 point in the total adjusted Inflammatory Neuropathy Cause and Treatment score. Results Eighty-two patients were enrolled. Sixty-two patients initially received 0.4 g/kg, 20 patients 0.2 g/kg weekly. Seventy-two received both doses during the study. Sixty-six patients (81%) completed the 48-week study duration. Overall relapse rates were 10% in 0.4 g/kg-treated patients and 48% in 0.2 g/kg-treated patients. After dose reduction from 0.4 to 0.2 g/kg, 51% (27/53) of patients relapsed, of whom 92% (24 of 26) improved after reinitiation of the 0.4 g/kg dose. Two-thirds of patients (19/28) who completed the PATH study without relapse remained relapse-free on the 0.2 g/kg dose after dose reduction in the extension study. Sixty-two patients had adverse events (AEs) (76%), of which most were mild or moderate with no related serious AEs. Conclusions Subcutaneous treatment with IgPro20 provided long-term benefit at both 0.4 and 0.2 g/kg weekly doses with lower relapse rates on the higher dose. Long-term dosing should be individualized to find the most appropriate dose in a given patient. Classification of evidence This study provides Class IV evidence that for patients with CIDP, long-term treatment with SCIG beyond 24 weeks is safe and efficacious.Peer reviewe
Accuracy of the Adaptive GRP Scheme and the Simulation of 2-D Riemann Problems for Compressible Euler Equations
No full textThe adaptive generalized Riemann problem (GRP) scheme for 2-D compressible fluid flows has been proposed in [J. Comput. Phys., 229 (2010), 1448-1466] and it displays the capability in overcoming difficulties such as the start-up error for a single shock, and the numerical instability of the almost stationary shock. In this paper, we will provide the accuracy study and particularly show the performance in simulating 2-D complex wave configurations formulated with the 2-D Riemann problems for compressible Euler equations. For this purpose, we will first review the GRP scheme briefly when combined with the adaptive moving mesh technique and consider the accuracy of the adaptive GRP scheme via the comparison with the explicit formulae of analytic solutions of planar rarefaction waves, planar shock waves, the collapse problem of a wedge-shaped dam and the spiral formation problem. Then we simulate the full set of wave configurations in the 2-D four-wave Riemann problems for compressible Euler equations [SIAM J. Math. Anal., 21 (1990), 593-630], including the interactions of strong shocks (shock reflections), vortex-vortex and shock-vortex etc. This study combines the theoretical results with the numerical simulations, and thus demonstrates what Ami Harten observed "for computational scientists there are two kinds of truth: the truth that you prove, and the truth you see when you compute" [J. Sci. Comput., 31 (2007), 185-193].http://gateway.webofknowledge.com/gateway/Gateway.cgi?GWVersion=2&SrcApp=PARTNER_APP&SrcAuth=LinksAMR&KeyUT=WOS:000298763800002&DestLinkType=FullRecord&DestApp=ALL_WOS&UsrCustomerID=8e1609b174ce4e31116a60747a720701Physics, MathematicalSCI(E)16ARTICLE3577-6061
Explainable time-to-progression predictions in multiple sclerosis
No full textBackground: Prognostic machine learning research in multiple sclerosis has been mainly focusing on black-box models predicting whether a patients' disability will progress in a fixed number of years. However, as this is a binary yes/no question, it cannot take individual disease severity into account. Therefore, in this work we propose to model the time to disease progression instead. Additionally, we use explainable machine learning techniques to make the model outputs more interpretable. Methods: A preprocessed subset of 29,201 patients of the international data registry MSBase was used. Disability was assessed in terms of the Expanded Disability Status Scale (EDSS). We predict the time to significant and confirmed disability progression using random survival forests, a machine learning model for survival analysis. Performance is evaluated on a time-dependent area under the receiver operating characteristic and the precision-recall curves. Importantly, predictions are then explained using SHAP and Bellatrex, two explainability toolboxes, and lead to both global (population-wide) as well as local (patient visit-specific) insights. Results: On the task of predicting progression in 2 years, the random survival forest achieves state-of-the-art performance, comparable to previous work employing a random forest. However, here the random survival forest has the added advantage of being able to predict progression over a longer time horizon, with AUROC > 60% for the first 10 years after baseline. Explainability techniques further validated the model by extracting clinically valid insights from the predictions made by the model. For example, a clear decline in the per-visit probability of progression is observed in more recent years since 2012, likely reflecting globally increasing use of more effective MS therapies. Conclusion: The binary classification models found in the literature can be extended to a time-to-event setting without loss of performance, thus allowing a more comprehensive prediction of patient prognosis. Furthermore, explainability techniques proved to be key to reach a better understanding of the model and increase validation of its behaviour.Funding: This work was supported by Research Foundation Flanders, Belgium [grant number 1S38023N] and the Flemish government AI Research Program (FAIR), Belgium. Contributors: We acknowledge data contributions from the following MSBase principal investigators, ordered by the number of contributed patients (from high to low): Dana Horakova, Guillermo Izquierdo, Sara Eichau, Marc Girard, Pierre Duquette, Pierre Grammond, Francois Grand’Maison, Maria Pia Amato, Katherine Buzzard,Cavit Boz, Murat Terzi, Vahid Shaygannejad, Jeannette Lechner-Scott, Jens Kuhle, Bassem Yamout, Yolanda Blanco, Elisabetta Cartechini, Recai Turkoglu, Nevin John, Radek Ampapa, Davide Maimone, Cristina Ramo-Tello, Celia Oreja-Guevara, Maria Di Gregorio, Mark Slee, Aysun Soysal, Riadh Gouider, Richard Macdonell, Maria Edite Rio, Liesbeth Van Hijfte, Jiwon Oh, Tamara Castillo-Triviño, Michael Barnett, Ricardo Fernandez Bolaños, Marie D’hooghe, Justin Garber, Ayse Altintas, Cees Zwanikken, Eduardo Aguera-Morales, Magd Zakaria, Sarah Besora, Suzanne Hodgkinson, the late Yara Fragoso, Rana Karabudak, Edgardo Cristiano, Jose Antonio Cabrera-Gomez, Maria Laura Saladino, Leontien Den braber-Moerland, Bruce Taylor, Orla Gray, Shlomo Flechter, Fraser Moore, Claudio Gobbi, Chris McGuigan, Jennifer Massey, Jamie Campbell, Marzena Fabis-Pedrini, Nevin Shalaby, Mihaela Simu, Angel Perez sempere, Cameron Shaw, Jan Schepel, Steve Vucic, Jabir Alkhaboori, Magdolna Simo, Danny Decoo, Jose Andres Dominguez, Neil Shuey, Stella Hughes, Ilya Kister. Finally, we acknowledge for their aid in data acquisition: Dr Mark Marriott, Dr Trevor Kilpatrick, Dr John King, Dr Katherine Buzzard, Dr Ai-Lan Nguyen, Dr Chris Dwyer, Dr Mastura Monif, Dr Izanne Roos, Ms Lisa Taylor, Ms Josephine Baker, Prof Robert Zivadinov, Prof Ralph Benedict, Dr Marzena Fabis-Pedrini, Dr Clara Chisari, Dr Emanuele D’Amico, Dr Lo Fermo Salvatore, Dr Catherine Larochelle, Dr Raymond Hupperts, Dr Freek Verheul, Dr Krisztian Kasa
Durability and tolerability of first-line combination including two NRTI and RAL or ATV/r or DRV/r in patients enrolled in the ICONA Foundation cohort
No full textA randomised trial of timed delivery for the compromised preterm fetus: short term outcomes and Bayesian interpretation
No full textInvestigating the effects of recency and size of training text on author recognition problem
No full text19th International Symposium on Computer and Information Sciences (ISCIS 2004) -- OCT 27-29, 2004 -- Kemer Antalya, TURKEYPrediction by partial match (PPM) is an effective tool to address the author recognition problem. In this study, we have successfully applied the trained PPM technique for author recognition on Turkish texts. Furthermore, we have investigated the effects of recency, as well as size of the training text on the performance of the PPM approach. Results show that, more recent and larger training texts help decrease the compression rate, which, in turn, leads to increased success in author recognition. Comparing the effects of the recency and the size of the training text, we see that the size factor plays a more dominant role on the performance.Bilkent Univ, Dept Comp Engn, Inst Elect & Elect Engineers Turkey Sect, Working Grp, Int Federat Informat Proc, Sci & Tech Res Council Turke
[[alternative]]The Study on the Metacognition Performance of Junior High school Students in the Learning of Biology Through Integrated Technology
No full text[[abstract]]The aim of this research is for understanding the metacognition performance of junior high school students in the learning of biology through integrated technology, and comparing the metacognition performance of the student before and after the learning activities. The study is based on the action research, the teacher as the researcher. The research instruments including protofolios, classroom observation, semi-structured interview , questionnaires and other related methods.
Through the study methods of qualitative and quantitative , the results comes to appear the attitude of the students on learning with computer and by peer collaboration to obtain the resources through internet is positive. Among the research activities, the students perform diverse strategies metacognition including planning, monitoring, and assessment. Differences shows between the experimental grp. and the control grp., the former performed more diverse metacognition strategies than the latter. And the study indicated the sexual differentiation among the learning activities, while the students proceeding group study and peer collaboration through the internet, the cooperative attitude and the executive effect of the monitoring strategy of the girls are better than the boys.
According to the results and findings of this study, suggestions for teaching design of 9-integrated science and technology curriculum in junior high school were given. Besides, suggestions for constructing the scientific learning websites and the design of interaction software were given too, those are aimed to promote the study effect for the students in the learning environment through integrated with information technology.
ESCRS study of prophylaxis of postoperative endophthalmitis after cataract surgery: Case for a European multicenter study
No full textPurpose: To present the development and design of the European Society of Cataract and Refractive Surgeons multicenter study of the prevention of postsurgical infective endophthalmitis after phacoemulsification and to describe the process for its successful implementation and conduct. Setting: Twenty-four ophthalmology units and eye clinics in Austria, Belgium, Germany, Italy, Poland, Portugal, Spain, Turkey, and the United Kingdom, with an administrative office in Ireland, coordinating center in England, and data management and statistical unit in Scotland. Methods: This partially masked randomized placebo-controlled multinational clinical study was designed to evaluate prospectively the prophylactic effect of intracameral cefuroxime and/or perioperative topical levofloxacin on postoperative endophthalmitis after cataract surgery. Random allocation was based on a 2 × 2 factorial design that included participating centers as a class variable. Real-time electronic data collection monitored study progress and provided weekly outcome tables, monthly recruitment summaries, and quarterly analytical reports for the study's Data Monitoring Committee, which evaluated the safety and efficacy by Internet-based conferences. Results: A 2-year lead time was required to meet harmonized standards of clinical research in the European Union, obtain ministerial authorization in 3 countries, gain institutional approvals at 24 hospitals, and procure indemnity insurance for surgical centers. Informed consent instruments, designed to comply with national health policies, were translated into 8 languages. The use of information technology to collect study data enabled the organizers to evaluate individual eligibility at enrollment, adherence with study medications during and after surgery, and postoperative status during follow-up. Conclusion: This international cooperative study provided the opportunity to estimate the current incidence of endophthalmitis after cataract surgery in Europe and determine whether 1 or both of 2 antimicrobial regimens reduces the risk for postsurgical intraocular infection
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