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Historias de la lucha por la paz
Published 2006-12-01“…A propósito del libro Movimiento por la Paz en Colombia 1978-2003 de Mauricio García Durán, S.J.…”
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8064
Factores de riesgo asociados a metástasis en pacientes con cáncer de próstata
Published 2022-12-01“…DOI: 1002/ijc.29842 PMid: 26355806 PMCid: PMC5042346 Birtle AJ, Freeman A, Masters JRW, Payne HA, Harland SJ, BAUS Section of Oncology Cancer Registry. Clinical features of patients who present with metastatic prostate carcinoma and serum prostate-specific antigen (PSA) levels < 10 ng/mL: the «PSA negative» patients. …”
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LA ‘QUIEBRA DEL MARAVEDÍ DE ORO’, FINALIZANDO EL REINADO DE FERNANDO III (1217-1230/1252) (ÍNDICE DE NOMBRES DE MONEDA, PESOS Y MEDIDAS DEL LIBRO DE ROBERTO I. BURNS S. J.1)
Published 2008-01-01“…Se añade un índice pormenorizado de palabras sobre moneda, pesos y medidas del siglo XIII, que aparecen en el libro de R.I.Burns, S.J.…”
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8066
Selected Abstracts of the 2nd Congress of joint European Neonatal Societies (jENS 2017); Venice (Italy); October 31-November 4, 2017; Session "Neurology and Follow-up"
Published 2017-10-01“…BEDSIDE MONITORING OF CEREBRAL METABOLISM IN NEONATES AT RISK FOR HYPOXIC-ISCHEMIC ENCEPHALOPATHY • M. El-Dib, S.J. Blackwell, F. Yi, R. Vyas, C.G. Ha, B. Walsh, T.E. …”
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8067
What is next for occupational cancer epidemiology?
Published 2022-11-01“…Datta GD, Lauzon M, Salvy SJ, Hussain SK, Ghandehari S, Merchant A, et al. …”
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8068
CANO/ACIO Annual Conference Workshop Abstracts
Published 2024-02-01“…Cooper<sup>1,2<span class="Apple-converted-space"> </span></sup> A. Julius<sup>1</sup>, S.J. Mayo<sup>1,2<span class="Apple-converted-space"> </span></sup></em></p><p class="p2"> </p><p class="p1">IV-3-A<br />Oncology nurses’ readiness to provide person-centred care informed by genomics: A mixed-methods study</p><p class="p2"><em>Rebecca Puddester<sup>1</sup>, Joy Maddigan<sup>1</sup>, April Pike<sup>1</sup>, Holly Etchegary<sup>2</sup>, Angela Hyde<sup>2,3</sup>, Lesa Dawson<sup>2,4</sup>, Kathleen Stevens<sup>1</sup></em></p><p class="p2"> </p><p class="p1">IV-3-B<br />Supporting the transition: Examining a nurse practitioner-led intervention for gynecological cancer survivors</p><p class="p2"><em>Alexandra Lawrynuik<sup>1</sup>, Jacqueline Galica<sup>1</sup>, Jan Giroux<sup>2</sup></em></p><p class="p2"> </p><p class="p1">IV-3-C<br />Understanding how to better support oncology nurses in conducting advanced care planning in BC’s Cancer Care System</p><p class="p2"><em>Heather M Kilgour<sup>1,2</sup>, A Fuchsia Howard<sup>2</sup>, Michael McKenzie<sup>1,2</sup>, Sally Thorne<sup>2</sup>, Leah K Lambert<sup>1,2</sup></em></p><p class="p13"> </p><p class="p1">IV-4-A<br />The genetic evolution of AML: Implications for nursing practice</p><p class="p2"><em>Hassan Zahreddine</em></p><p class="p2"> </p><p class="p1">IV-4-B<br />Exploring the need for Human Leukocyte Antigen (HLA) matched platelets in patients diagnosed with a hematological cancer</p><p class="p2"><em>Alessia Lamanna, Aisha Winn</em></p><p class="p2"> </p><p class="p1">IV-4-C<br />Strategic collaboration between cancer patient organizations and Canadian Oncology Nurses: Learning from myeloma patient groups worldwide</p><p class="p2"><em>Martine Elias<sup>1</sup>, Beth Faiman<sup>2</sup></em></p><p class="p2"> </p><p class="p1">IV-4-D<br />An overview of myeloproliferative neoplasms, symptom assessment and the shared-care model at Princess Margaret Cancer Centre</p><p class="p2"><em>Verna Cheung, Hassan Sibai, Aniket Bankar, Marta Davidson, Vikas Gupta, Dawn Maze</em></p><p class="p2"> </p><p class="p1">IV-5-A<br />Connect and exchange for system transformation – A workshop for oncology practice leaders</p><p class="p2"><em>Joy Tarasuk, Kara Jamieson, Julia Kaal, Carolyn Fifield, Pamela Robichaud, Julia MacLeod, Carla MacDonald, Natasha McMaster, Margaret Ann Morrison, Helmut Hollenhorst</em></p><p class="p2"> </p><p class="p1">IV-5-B<br />How to start that conversation?”…”
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8069
Remarks on smallness of chemotactic effect for asymptotic stability in a two-species chemotaxis system
Published 2016-08-01“…<p> This paper deals with the two-species chemotaxis system <br /> <img style="height:50px;" src="data:image/png;base64,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" alt="" /> </p> where Ω is a bounded domain in R<sup><em>N</em></sup> with smooth boundary ∂Ω, <em>N</em>∈N; <em>h</em>,<em>X</em><sub><em>i</em></sub> are functions satisfying some conditions. …”
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