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479 results on '"Araujo S"'

5. How Well do Polygenic Risk Scores Identify Men at High Risk for Prostate Cancer? Systematic Review and Meta-Analysis

Author

N’Dow, J., Smith, E.J., Shepherd, R., Ribal, M., Mottet, N., Moris, L., Lardas, M., Willemse, P-P., Gandaglia, G., Campi, R., Nicoletti, Rossella, Gacci, M., Briganti, A., Ratti, M.M., Alleva, E., Leardini, L., Sisca, E.S., Bangma, R., Roobol, M., Remmers, S., Tilki, D., Visakorpi, T., Talala, K., Tammela, T., van Hemelrijck, M., Bayer, K., Lejeune, S., Byrne, S., Fialho, L., De Meulder, P. Palaiologou B., Auffray, C., Hijazy, A., Power, S., Kermani, N. Zounemat, van Bochove, K., Kalafati, M., Moinat, M., Voss, E., Horgan, D., Fullwood, L., Holtorf, M., Lancet, D., Bernstein, G., Omar, I., MacLennan, S., Maclennan, S., Tripathee, S., Wirth, M., Froehner, M., Brenner, B., Borkowetz, A., Thomas, C., Horn, F., Reiche, K., Kreux, M., Josefsson, A., Tandefekt, D. Gasi, Hugosson, J., Huisman, H., Schalken, J., Hofmacher, T., Lindgren, P., Andersson, E., Fridhammar, A., Zong, J., Butler-Ransohoff, J-E., Herrera, R., Maass, M., Torremante, P., Voss, M.D., Devecseri, Z., Abbott, T., Dau, C., Papineni, K., Snijder, R., Lambrecht, M., Wolfinger, R., Rogiers, S., Servan, A., Antoni, L., Pacoe, K., Robinson, P., Jaton, B., Bakkard, D., Turunen, H., Kilkku, O., Pohjanjousi, P., Voima, O., Nevalaita, L., Reich, C., Araujo, S., Longden-Chapman, E., Burke, D., Agapow, P., Derkits, S., Licour, M., McCrea, C., Payne, S., Yong, A., Thompson, L., Mare, S. Le, Bussmann, M, Kotik, D., Siltari, Aino, Lönnerbro, Ragnar, Pang, Karl, Shiranov, Kirill, Asiimwe, Alex, Evans-Axelsson, Susan, Franks, Billy, Kiran, Amit, Murtola, Teemu J., Schalken, Jack, Steinbeisser, Carl, Bjartell, Anders, and Auvinen, Anssi

Published
2023
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6. Transitional and Steady-State Choice Behavior under an Adjusting-Delay Schedule

Author

Torres, L. Valencia, Araujo, S. da Costa, and Sanchez, C. M. Olarte

Abstract

Twelve rats made repeated choices on an adjusting-delay schedule between a smaller reinforcer (A) that was delivered immediately after a response and a larger reinforcer (B) that was delivered after a delay which increased or decreased by 20% depending on the subject's choices in successive blocks of trials. In two phases of the experiment (100 sessions and 40 sessions), reinforcer sizes were selected which enabled theoretical parameters expressing the rate of delay discounting and sensitivity to reinforcer size to be estimated from the ratio of the indifference delays obtained in the two phases. Indifference delays, calculated from adjusting delays in the last 10 sessions of each phase, were shorter when the sizes of A and B were 14 and 25 [mu]l of a 0.6 M sucrose solution than when they were 25 and 100 [mu]l of the same solution. The ratio of the indifference delays was significantly smaller than that predicted on the basis of an assumed linear relation between reinforcer size and instantaneous reinforcer value, consistent with a previous proposal that this relation may be hyperbolic in form. Estimates of the rate of delay discounting based on the ratio of the two indifference delays (mean, 0.08 s[superscript -1]) were similar to values obtained previously using different intertemporal choice protocols. Estimates of the size-sensitivity parameter (mean 113 [mu]l) were similar to estimates recently derived from performance on progressive-ratio schedules. In both phases of the experiment, adjusting delays in successive blocks of trials were analyzed using the Fourier transform. The power spectrum obtained from individual rats had a dominant frequency that corresponded to a period of oscillation of the adjusting delay between 30 and 100 trial blocks (mean, 78). Power in the dominant frequency band was highest in the early sessions of the first phase and declined with extended training. It is suggested that this experimental protocol may have utility in neurobehoral studies of intertemporal choice. (Contains 9 figures.)

Published
2011

16. CÁSEOS AMIGDALIANOS: estudo de caso

Author

PAMPLONA, F. K. A., primary, SIRTOLI, D. B., additional, SOUSA, S. S., additional, MORAIS, L. L., additional, ARAUJO, S. R., additional, TORQUATO, A. M. B., additional, and RANK, Rise Consolação Iuata Costa, additional

Published
2021
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19. An Intelligent Vision-Based System Applied to Visual Quality Inspection of Beans

Author

Belan, P. A., Araújo, S. A., Alves, W. A. L., Hutchison, David, Series editor, Kanade, Takeo, Series editor, Kittler, Josef, Series editor, Kleinberg, Jon M., Series editor, Mattern, Friedemann, Series editor, Mitchell, John C., Series editor, Naor, Moni, Series editor, Pandu Rangan, C., Series editor, Steffen, Bernhard, Series editor, Terzopoulos, Demetri, Series editor, Tygar, Doug, Series editor, Weikum, Gerhard, Series editor, Campilho, Aurélio, editor, and Karray, Fakhri, editor

Published
2016
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21. A Computer Vision System for Automatic Classification of Most Consumed Brazilian Beans

Author

Araújo, S. A., Alves, W. A. L., Belan, P. A., Anselmo, K. P., Hutchison, David, Series editor, Kanade, Takeo, Series editor, Kittler, Josef, Series editor, Kleinberg, Jon M., Series editor, Mattern, Friedemann, Series editor, Mitchell, John C., Series editor, Naor, Moni, Series editor, Pandu Rangan, C., Series editor, Steffen, Bernhard, Series editor, Terzopoulos, Demetri, Series editor, Tygar, Doug, Series editor, Weikum, Gerhard, Series editor, Bebis, George, editor, Boyle, Richard, editor, Parvin, Bahram, editor, Koracin, Darko, editor, Pavlidis, Ioannis, editor, Feris, Rogerio, editor, McGraw, Tim, editor, Elendt, Mark, editor, Kopper, Regis, editor, Ragan, Eric, editor, Ye, Zhao, editor, and Weber, Gunther, editor

Published
2015
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22. How Well do Polygenic Risk Scores Identify Men at High Risk for Prostate Cancer? Systematic Review and Meta-Analysis

Author

Siltari, Aino, primary, Lönnerbro, Ragnar, additional, Pang, Karl, additional, Shiranov, Kirill, additional, Asiimwe, Alex, additional, Evans-Axelsson, Susan, additional, Franks, Billy, additional, Kiran, Amit, additional, Murtola, Teemu J., additional, Schalken, Jack, additional, Steinbeisser, Carl, additional, Bjartell, Anders, additional, Auvinen, Anssi, additional, N’Dow, J., additional, Smith, E.J., additional, Shepherd, R., additional, Ribal, M., additional, Mottet, N., additional, Moris, L., additional, Lardas, M., additional, Willemse, P-P., additional, Gandaglia, G., additional, Campi, R., additional, Nicoletti, Rossella, additional, Gacci, M., additional, Briganti, A., additional, Ratti, M.M., additional, Alleva, E., additional, Leardini, L., additional, Sisca, E.S., additional, Bangma, R., additional, Roobol, M., additional, Remmers, S., additional, Tilki, D., additional, Visakorpi, T., additional, Talala, K., additional, Tammela, T., additional, van Hemelrijck, M., additional, Bayer, K., additional, Lejeune, S., additional, Byrne, S., additional, Fialho, L., additional, De Meulder, P. Palaiologou B., additional, Auffray, C., additional, Hijazy, A., additional, Power, S., additional, Kermani, N. Zounemat, additional, van Bochove, K., additional, Kalafati, M., additional, Moinat, M., additional, Voss, E., additional, Horgan, D., additional, Fullwood, L., additional, Holtorf, M., additional, Lancet, D., additional, Bernstein, G., additional, Omar, I., additional, MacLennan, S., additional, Maclennan, S., additional, Tripathee, S., additional, Wirth, M., additional, Froehner, M., additional, Brenner, B., additional, Borkowetz, A., additional, Thomas, C., additional, Horn, F., additional, Reiche, K., additional, Kreux, M., additional, Josefsson, A., additional, Tandefekt, D. Gasi, additional, Hugosson, J., additional, Huisman, H., additional, Schalken, J., additional, Hofmacher, T., additional, Lindgren, P., additional, Andersson, E., additional, Fridhammar, A., additional, Zong, J., additional, Butler-Ransohoff, J-E., additional, Herrera, R., additional, Maass, M., additional, Torremante, P., additional, Voss, M.D., additional, Devecseri, Z., additional, Abbott, T., additional, Dau, C., additional, Papineni, K., additional, Snijder, R., additional, Lambrecht, M., additional, Wolfinger, R., additional, Rogiers, S., additional, Servan, A., additional, Antoni, L., additional, Pacoe, K., additional, Robinson, P., additional, Jaton, B., additional, Bakkard, D., additional, Turunen, H., additional, Kilkku, O., additional, Pohjanjousi, P., additional, Voima, O., additional, Nevalaita, L., additional, Reich, C., additional, Araujo, S., additional, Longden-Chapman, E., additional, Burke, D., additional, Agapow, P., additional, Derkits, S., additional, Licour, M., additional, McCrea, C., additional, Payne, S., additional, Yong, A., additional, Thompson, L., additional, Mare, S. Le, additional, Bussmann, M, additional, and Kotik, D., additional

Published
2023
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29. Potential use of pepper waste and microalgae Spirulinasp. for bioelectricity generation

Author

Rojas-Villacorta, W., Rojas-Flores, S., Benites, Santiago M., Delfín-Narciso, D., Cruz-Noriega, M. De La, Cabanillas-Chirinos, L., Rodríguez-Serin, H., and Rebaza-Araujo, S.

Abstract

The research aimed to generate bioelectricity using pepper waste and the microalgae Spirulinasp by a double-chamber microbial fuel cell (dcMFC). A dcMFC was constructed with Cu and Zn electrodes, where organic waste and microalgae were placed in the anodic and cathodic chambers, respectively. Also, electrochemical parameters were measured for 35 days. Finally, possible electrogenic microorganisms were isolated and identified. It was possible to generate maximum values of current (6.04414 ± 0.2145 mA) and voltage (0.77328 ± 0.213 V). The maximum conductivity value was 134.1636 ± 7.121 mS/cm, while the internal resistance value was 83.784 ±7.147Ω. The values of power and current density reached were 584.45 ± 19.14 mW/cm 2and 5.983 A/cm 2, respectively. The optimal operating pH was 4.59 ± 0.14. From the microbial growth on the anode, the yeast Yarrowia phangngaensis(1) and Pseudomonas stutzeri(2) were identified, which may be involved in the transfer of electrons to the electrode. In conclusion, it was possible to generate clean energy in a laboratory-scale dcMFC when pepper waste and Spirulinasp. were used. These results are promising because organic waste can generate sustainable and environmentally friendly energy.

Published
2023
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31. Minimizing saw cycles on the cutting stock problem with processing times depending on the cutting pattern.

Author

Lemos, F. K., Cherri, A. C., de Araujo, S. A., and Yanasse, H. H.

Subjects
CUTTING stock problem, INVENTORY costs, MACHINING, PAPER arts
Abstract

In this paper the cutting stock problem minimizing saw cycles is considered. In this context where objects can be cut simultaneously the trade-off between raw material and machine utilization costs is of major interest. Different processing times for each cutting pattern are considered, according to the number of items on it, different from previous works of the literature. The optimization aims to minimize both machine utilization costs due to the saw cycles and raw material usage costs. An integer mathematical formulation is proposed, and a solution method based on a column generation procedure is used. Computational tests were performed to assess the impact on costs for illustrative and real industry instances. A set of instances were also randomly generated to analyse the behaviour of the outcome of the problem in face of different technical parameters. [ABSTRACT FROM AUTHOR]

Published
2023
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36. Introducing PIONEER: a project to harness big data in prostate cancer research

Author

Omar M. I., Roobol M. J., Ribal M. J., Abbott T., Agapow P. -M., Araujo S., Asiimwe A., Auffray C., Balaur I., Beyer K., Bernini C., Bjartell A., Briganti A., Butler-Ransohoff J. -E., Campi R., Cavelaars M., De Meulder B., Devecseri Z., Voss M. D., Dimitropoulos K., Evans-Axelsson S., Franks B., Fullwood L., Horgan D., Smith E. J., Kiran A., Kivinummi K., Lambrecht M., Lancet D., Lindgren P., MacLennan S., Nogueira M. M., Moen F., Moinat M., Papineni K., Reich C., Reiche K., Rogiers S., Sartini C., van Bochove K., van Diggelen F., Van Hemelrijck M., Van Poppel H., Zong J., N'Dow J., Andersson E., Arala H., Auvinen A., Bangma C., Burke D., Cardone A., Casariego J., Cuperus G., Dabestani S., Esperto F., Fossati N., Fridhammar A., Gandaglia G., Tandefelt D. G., Horn F., Huber J., Hugosson J., Huisman H., Josefsson A., Kilkku O., Kreuz M., Lardas M., Lawson J., Lefresne F., Lejeune S., Longden-Chapman E., McVie G., Moris L., Mottet N., Murtola T., Nicholls C., Pang K. H., Pascoe K., Picozzi M., Plass K., Pohjanjousi P., Reaney M., Remmers S., Robinson P., Schalken J., Schravendeel M., Seisen T., Servan A., Shiranov K., Snijder R., Steinbeisser C., Taibi N., Talala K., Tilki D., Van den Broeck T., Vassilev Z., Voima O., Vradi E., Waldeck R., Weistra W., Willemse P. -P., Wirth M., Wolfinger R., Kermani N. Z., Omar, M. I., Roobol, M. J., Ribal, M. J., Abbott, T., Agapow, P. -M., Araujo, S., Asiimwe, A., Auffray, C., Balaur, I., Beyer, K., Bernini, C., Bjartell, A., Briganti, A., Butler-Ransohoff, J. -E., Campi, R., Cavelaars, M., De Meulder, B., Devecseri, Z., Voss, M. D., Dimitropoulos, K., Evans-Axelsson, S., Franks, B., Fullwood, L., Horgan, D., Smith, E. J., Kiran, A., Kivinummi, K., Lambrecht, M., Lancet, D., Lindgren, P., Maclennan, S., Nogueira, M. M., Moen, F., Moinat, M., Papineni, K., Reich, C., Reiche, K., Rogiers, S., Sartini, C., van Bochove, K., van Diggelen, F., Van Hemelrijck, M., Van Poppel, H., Zong, J., N'Dow, J., Andersson, E., Arala, H., Auvinen, A., Bangma, C., Burke, D., Cardone, A., Casariego, J., Cuperus, G., Dabestani, S., Esperto, F., Fossati, N., Fridhammar, A., Gandaglia, G., Tandefelt, D. G., Horn, F., Huber, J., Hugosson, J., Huisman, H., Josefsson, A., Kilkku, O., Kreuz, M., Lardas, M., Lawson, J., Lefresne, F., Lejeune, S., Longden-Chapman, E., Mcvie, G., Moris, L., Mottet, N., Murtola, T., Nicholls, C., Pang, K. H., Pascoe, K., Picozzi, M., Plass, K., Pohjanjousi, P., Reaney, M., Remmers, S., Robinson, P., Schalken, J., Schravendeel, M., Seisen, T., Servan, A., Shiranov, K., Snijder, R., Steinbeisser, C., Taibi, N., Talala, K., Tilki, D., Van den Broeck, T., Vassilev, Z., Voima, O., Vradi, E., Waldeck, R., Weistra, W., Willemse, P. -P., Wirth, M., Wolfinger, R., Kermani, N. Z., Publica, and Urology

Subjects
0301 basic medicine, Prioritization, Knowledge management, Urology, media_common.quotation_subject, education, Big data, Disease, 03 medical and health sciences, Prostate cancer, 0302 clinical medicine, SDG 3 - Good Health and Well-being, Multidisciplinary approach, Urological cancers Radboud Institute for Molecular Life Sciences [Radboudumc 15], Medicine, Quality (business), media_common, business.industry, Patient-centered outcomes, medicine.disease, 3. Good health, Patient management, 030104 developmental biology, Urological cancers Radboud Institute for Health Sciences [Radboudumc 15], 030220 oncology & carcinogenesis, business
Abstract

Prostate Cancer Diagnosis and Treatment Enhancement Through the Power of Big Data in Europe (PIONEER) is a European network of excellence for big data in prostate cancer, consisting of 32 private and public stakeholders from 9 countries across Europe. Launched by the Innovative Medicines Initiative 2 and part of the Big Data for Better Outcomes Programme (BD4BO), the overarching goal of PIONEER is to provide high-quality evidence on prostate cancer management by unlocking the potential of big data. The project has identified critical evidence gaps in prostate cancer care, via a detailed prioritization exercise including all key stakeholders. By standardizing and integrating existing high-quality and multidisciplinary data sources from patients with prostate cancer across different stages of the disease, the resulting big data will be assembled into a single innovative data platform for research. Based on a unique set of methodologies, PIONEER aims to advance the field of prostate cancer care with a particular focus on improving prostate-cancer-related outcomes, health system efficiency by streamlining patient management, and the quality of health and social care delivered to all men with prostate cancer and their families worldwide.Prostate Cancer Diagnosis and Treatment Enhancement Through the Power of Big Data in Europe (PIONEER) is a European network of excellence for big data in prostate cancer, consisting of 32 private and public stakeholders from 9 countries across Europe. In this Perspectives article, the authors introduce the PIONEER project and describe its aims and plans for ultimately improving prostate cancer care through the use of big data.

Published
2020

37. Author Correction: Introducing PIONEER: a project to harness big data in prostate cancer research (Nature Reviews Urology, (2020), 17, 6, (351-362), 10.1038/s41585-020-0324-x)

Author

Omar M. I., Roobol M. J., Ribal M. J., Abbott T., Agapow P. -M., Araujo S., Asiimwe A., Auffray C., Balaur I., Beyer K., Bernini C., Bjartell A., Briganti A., Butler-Ransohoff J. -E., Campi R., Cavelaars M., De Meulder B., Devecseri Z., Voss M. D., Dimitropoulos K., Evans-Axelsson S., Franks B., Fullwood L., Horgan D., Smith E. J., Kiran A., Kivinummi K., Lambrecht M., Lancet D., Lindgren P., MacLennan S., Nogueira M. M., Moen F., Moinat M., Papineni K., Reich C., Reiche K., Rogiers S., Sartini C., van Bochove K., van Diggelen F., Van Hemelrijck M., Van Poppel H., Zong J., N'Dow J., Andersson E., Arala H., Auvinen A., Bangma C., Burke D., Cardone A., Casariego J., Cuperus G., Dabestani S., Esperto F., Fossati N., Fridhammar A., Gandaglia G., Tandefelt D. G., Horn F., Huber J., Hugosson J., Huisman H., Josefsson A., Kilkku O., Kreuz M., Lardas M., Lawson J., Lefresne F., Lejeune S., Longden-Chapman E., McVie G., Moris L., Mottet N., Murtola T., Nicholls C., Pang K. H., Pascoe K., Picozzi M., Plass K., Pohjanjousi P., Reaney M., Remmers S., Robinson P., Schalken J., Schravendeel M., Seisen T., Servan A., Shiranov K., Snijder R., Steinbeisser C., Taibi N., Talala K., Tilki D., Van den Broeck T., Vassilev Z., Voima O., Vradi E., Waldeck R., Weistra W., Willemse P. -P., Wirth M., Wolfinger R., Kermani N. Z., Omar, M. I., Roobol, M. J., Ribal, M. J., Abbott, T., Agapow, P. -M., Araujo, S., Asiimwe, A., Auffray, C., Balaur, I., Beyer, K., Bernini, C., Bjartell, A., Briganti, A., Butler-Ransohoff, J. -E., Campi, R., Cavelaars, M., De Meulder, B., Devecseri, Z., Voss, M. D., Dimitropoulos, K., Evans-Axelsson, S., Franks, B., Fullwood, L., Horgan, D., Smith, E. J., Kiran, A., Kivinummi, K., Lambrecht, M., Lancet, D., Lindgren, P., Maclennan, S., Nogueira, M. M., Moen, F., Moinat, M., Papineni, K., Reich, C., Reiche, K., Rogiers, S., Sartini, C., van Bochove, K., van Diggelen, F., Van Hemelrijck, M., Van Poppel, H., Zong, J., N'Dow, J., Andersson, E., Arala, H., Auvinen, A., Bangma, C., Burke, D., Cardone, A., Casariego, J., Cuperus, G., Dabestani, S., Esperto, F., Fossati, N., Fridhammar, A., Gandaglia, G., Tandefelt, D. G., Horn, F., Huber, J., Hugosson, J., Huisman, H., Josefsson, A., Kilkku, O., Kreuz, M., Lardas, M., Lawson, J., Lefresne, F., Lejeune, S., Longden-Chapman, E., Mcvie, G., Moris, L., Mottet, N., Murtola, T., Nicholls, C., Pang, K. H., Pascoe, K., Picozzi, M., Plass, K., Pohjanjousi, P., Reaney, M., Remmers, S., Robinson, P., Schalken, J., Schravendeel, M., Seisen, T., Servan, A., Shiranov, K., Snijder, R., Steinbeisser, C., Taibi, N., Talala, K., Tilki, D., Van den Broeck, T., Vassilev, Z., Voima, O., Vradi, E., Waldeck, R., Weistra, W., Willemse, P. -P., Wirth, M., Wolfinger, R., and Kermani, N. Z.

Abstract

An amendment to this paper has been published and can be accessed via a link at the top of the paper.

Published
2020

39. Retopexia Ventral Robótica com Uso de Tela

Author

Portilho, A. S., additional, Seid, V. E., additional, Figueiredo, M. N., additional, Pandini, R. V., additional, Gerbasi, L. S., additional, Marcante, M. T., additional, Novo, R. S., additional, and Araujo, S. E. A., additional

Published
2021
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42. Anastomose Intracorpórea Totalmente Robótica

Author

Portilho, A. S., additional, Seid, V. E., additional, Figueiredo, M. N., additional, Olive, M. L.V., additional, Pandini, R. V., additional, Marcante, M. T., additional, Gerbasi, L. S., additional, and Araujo, S. E.A., additional

Published
2021
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45. Avanço de Retalho (Flap) Após Lift

Author

Portilho, A. S., additional, Seid, V. E., additional, Figueiredo, M. N., additional, Marcante, M. T., additional, Gerbasi, L. S., additional, Pandini, R. V., additional, Marcelino, M., additional, and Araujo, S. E. A., additional

Published
2021
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