Osteosynthesis metal plate system for bone fixation using bicortical screws: numerical modelling

This work describes the numerical modelling of an immobilization system currently used to repair long bone fractures. The referred system was employed to ensure the mechanical stabilization of an oblique bone fracture by means of a dynamic compression plate (DCP) and bicortical screws. The numerical characterization of the fixation system was performed to obtain stress and strain fields in cortical bone tissue. The validation of the numerical model was performed using experimental data previously obtained in other work. Since the experimental characterization indorsed the visualization of the screw pull-out phenomenon during the loading process, damage parameters (trapezoidal law) were measured experimentally in this region. These parameters were introduced in the finite element model (FEM) to simulate the initiation and propagation of damage in bone tissue. A mixed-mode (I+II) damage law was used to mimic the mechanical behaviour of the bone fracture and the screw-bone interface

Enteric methane mitigation strategies for ruminant livestock systems in the Latin America and Caribbean region: A meta-analysis

Latin America and Caribbean (LAC) is a developing region characterized for its importance for global food security, producing 23 and 11% of the global beef and milk production, respectively. The region's ruminant livestock sector however, is under scrutiny on environmental grounds due to its large contribution to enteric methane (CH4) emissions and influence on global climate change. Thus, the identification of effective CH4 mitigation strategies which do not compromise animal performance is urgently needed, especially in context of the Sustainable Development Goals (SDG) defined in the Paris Agreement of the United Nations. Therefore, the objectives of the current study were to: 1) collate a database of individual sheep, beef and dairy cattle records from enteric CH4 emission studies conducted in the LAC region, and 2) perform a meta-analysis to identify feasible enteric CH4 mitigation strategies, which do not compromise animal performance. After outlier's removal, 2745 animal records (65% of the original data) from 103 studies were retained (from 2011 to 2021) in the LAC database. Potential mitigation strategies were classified into three main categories (i.e., animal breeding, dietary, and rumen manipulation) and up to three subcategories, totaling 34 evaluated strategies. A random effects model weighted by inverse variance was used (Comprehensive Meta-Analysis V3.3.070). Six strategies decreased at least one enteric CH4 metric and simultaneously increased milk yield (MY; dairy cattle) or average daily gain (ADG; beef cattle and sheep). The breed composition F1 Holstein × Gyr decreased CH4 emission per MY (CH4IMilk) while increasing MY by 99%. Adequate strategies of grazing management under continuous and rotational stocking decreased CH4 emission per ADG (CH4IGain) by 22 and 35%, while increasing ADG by 22 and 71%, respectively. Increased dietary protein concentration, and increased concentrate level through cottonseed meal inclusion, decreased CH4IMilk and CH4IGain by 10 and 20% and increased MY and ADG by 12 and 31%, respectively. Lastly, increased feeding level decreased CH4IGain by 37%, while increasing ADG by 171%. The identified effective mitigation strategies can be adopted by livestock producers according to their specific needs and aid LAC countries in achieving SDG as defined in the Paris Agreement.Fil: Congio, Guilhermo Francklin de Souza. Universidade do Sao Paulo. Escola Superior de Agricultura Luiz de Queiroz; Brasil. Corporación Colombiana de Investigación Agropecuaria; ColombiaFil: Bannink, André. University of Agriculture Wageningen; Países BajosFil: Mayorga Mogollón, Olga Lucía. Corporación Colombiana de Investigación Agropecuaria; ColombiaFil: Jaurena, Gustavo. Universidad de Buenos Aires. Facultad de Agronomia. Departamento de Producción Animal. Cátedra de Nutrición Animal; ArgentinaFil: Gonda, Horacio Leandro. Uppsala Universitet; SueciaFil: Gere, José Ignacio. Instituto Nacional de Tecnología Agropecuaria. Centro de Investigación en Ciencias Veterinarias y Agronómicas. Instituto de Patobiología Veterinaria - Consejo Nacional de Investigaciones Científicas y Técnicas. Oficina de Coordinación Administrativa Parque Centenario. Instituto de Patobiología Veterinaria; ArgentinaFil: Cerón Cucchi, María Esperanza. Instituto Nacional de Tecnología Agropecuaria. Centro de Investigación en Ciencias Veterinarias y Agronómicas. Instituto de Patobiología; ArgentinaFil: Ortiz Chura, Abimael. Instituto Nacional de Tecnología Agropecuaria. Centro de Investigación en Ciencias Veterinarias y Agronómicas. Instituto de Patobiología; Argentina. Consejo Nacional de Investigaciones Científicas y Técnicas; ArgentinaFil: Tieri, María Paz. Universidad Tecnológica Nacional. Facultad Regional Rafaela; Argentina. Consejo Nacional de Investigaciones Científicas y Técnicas. Centro Científico Tecnológico Conicet - Santa Fe. Instituto de Investigación de la Cadena Láctea. - Instituto Nacional de Tecnología Agropecuaria. Centro Regional Santa Fe. Estación Experimental Agropecuaria Rafaela. Instituto de Investigación de la Cadena Láctea; ArgentinaFil: Hernandez, Olegario. Instituto Nacional de Tecnología Agropecuaria. Centro Regional Tucuman-Santiago del Estero; ArgentinaFil: Ricci, Patricia. Instituto Nacional de Tecnologia Agropecuaria. Centro Regional Buenos Aires Sur. Estacion Experimental Agropecuaria Balcarce. Instituto de Innovación Para la Producción Agropecuaria y El Desarrollo Sostenible. Grupo Vinculado Estacion Experimental Agropecuaria Cuenca del Salado Al Ipads | Consejo Nacional de Investigaciones Cientificas y Tecnicas. Centro Cientifico Tecnologico Conicet - Mar del Plata. Instituto de Innovación Para la Producción Agropecuaria y El Desarrollo Sostenible. Grupo Vinculado Estacion Experimental Agropecuaria Cuenca del Salado Al Ipads.; ArgentinaFil: Juliarena, María Paula. Universidad Nacional del Centro de la Provincia de Buenos Aires. Centro de Investigaciones en Física e Ingeniería del Centro de la Provincia de Buenos Aires. - Consejo Nacional de Investigaciones Científicas y Técnicas. Centro Científico Tecnológico Conicet - Tandil. Centro de Investigaciones en Física e Ingeniería del Centro de la Provincia de Buenos Aires. - Provincia de Buenos Aires. Gobernación. Comisión de Investigaciones Científicas. Centro de Investigaciones en Física e Ingeniería del Centro de la Provincia de Buenos Aires; ArgentinaFil: Lombardi, Banira. Universidad Nacional del Centro de la Provincia de Buenos Aires. Centro de Investigaciones en Física e Ingeniería del Centro de la Provincia de Buenos Aires. - Consejo Nacional de Investigaciones Científicas y Técnicas. Centro Científico Tecnológico Conicet - Tandil. Centro de Investigaciones en Física e Ingeniería del Centro de la Provincia de Buenos Aires. - Provincia de Buenos Aires. Gobernación. Comisión de Investigaciones Científicas. Centro de Investigaciones en Física e Ingeniería del Centro de la Provincia de Buenos Aires; ArgentinaFil: Abdalla, Adibe Luiz. Universidade de Sao Paulo; BrasilFil: Abdalla Filho, Adibe Luiz. Universidade de Sao Paulo; BrasilFil: Berndt, Alexandre. Ministerio da Agricultura Pecuaria e Abastecimento de Brasil. Empresa Brasileira de Pesquisa Agropecuaria; BrasilFil: Oliveira, Patrícia Perondi Anchão. Ministerio da Agricultura Pecuaria e Abastecimento de Brasil. Empresa Brasileira de Pesquisa Agropecuaria; BrasilFil: Henrique, Fábio Luis. Colegios Asociados de Uberaba; BrasilFil: Monteiro, Alda Lúcia Gomes. Universidade Federal do Paraná; BrasilFil: Borges, Luiza Ilha. Universidade Federal do Paraná; BrasilFil: Ribeiro Filho, Henrique Mendonça Nunes. Universidade Federal de Santa Catarina; BrasilFil: Ribeiro Pereira, Luiz Gustavo. Ministerio da Agricultura Pecuaria e Abastecimento de Brasil. Empresa Brasileira de Pesquisa Agropecuaria; BrasilFil: Tomich, Thierry Ribeiro. Ministerio da Agricultura Pecuaria e Abastecimento de Brasil. Empresa Brasileira de Pesquisa Agropecuaria; BrasilFil: Campos, Mariana Magalhães. Ministerio da Agricultura Pecuaria e Abastecimento de Brasil. Empresa Brasileira de Pesquisa Agropecuaria; BrasilFil: Machado, Fernanda Samarini. Ministerio da Agricultura Pecuaria e Abastecimento de Brasil. Empresa Brasileira de Pesquisa Agropecuaria; BrasilFil: Marcondes, Marcos Inácio. Universidade Federal de Viçosa.; BrasilFil: Mercadante, Maria Eugênia Zerlotti. Agencia de Tecnología Agroindustrial de Sao Paulo; ArgentinaFil: Sakamoto, Leandro Sannomiya. Agencia de Tecnología Agroindustrial de Sao Paulo; ArgentinaFil: Albuquerque, Lucia Galvão. Universidade Estadual Paulista Julio de Mesquita Filho; BrasilFil: Carvalho, Paulo César de Faccio. Universidade Federal do Rio Grande do Sul; BrasilFil: Hristov, Alexander Nikolov. State University of Pennsylvania; Estados Unidos. University of Agriculture Wageningen; Países Bajos. Universidade de Sao Paulo; Brasil. Corporación Colombiana de Investigación Agropecuaria; Colombi

Pervasive gaps in Amazonian ecological research

Biodiversity loss is one of the main challenges of our time,1,2 and attempts to address it require a clear un derstanding of how ecological communities respond to environmental change across time and space.3,4 While the increasing availability of global databases on ecological communities has advanced our knowledge of biodiversity sensitivity to environmental changes,5–7 vast areas of the tropics remain understudied.8–11 In the American tropics, Amazonia stands out as the world’s most diverse rainforest and the primary source of Neotropical biodiversity,12 but it remains among the least known forests in America and is often underrepre sented in biodiversity databases.13–15 To worsen this situation, human-induced modifications16,17 may elim inate pieces of the Amazon’s biodiversity puzzle before we can use them to understand how ecological com munities are responding. To increase generalization and applicability of biodiversity knowledge,18,19 it is thus crucial to reduce biases in ecological research, particularly in regions projected to face the most pronounced environmental changes. We integrate ecological community metadata of 7,694 sampling sites for multiple or ganism groups in a machine learning model framework to map the research probability across the Brazilian Amazonia, while identifying the region’s vulnerability to environmental change. 15%–18% of the most ne glected areas in ecological research are expected to experience severe climate or land use changes by 2050. This means that unless we take immediate action, we will not be able to establish their current status, much less monitor how it is changing and what is being lostinfo:eu-repo/semantics/publishedVersio

Pervasive gaps in Amazonian ecological research

Biodiversity loss is one of the main challenges of our time,1,2 and attempts to address it require a clear understanding of how ecological communities respond to environmental change across time and space.3,4 While the increasing availability of global databases on ecological communities has advanced our knowledge of biodiversity sensitivity to environmental changes,5,6,7 vast areas of the tropics remain understudied.8,9,10,11 In the American tropics, Amazonia stands out as the world's most diverse rainforest and the primary source of Neotropical biodiversity,12 but it remains among the least known forests in America and is often underrepresented in biodiversity databases.13,14,15 To worsen this situation, human-induced modifications16,17 may eliminate pieces of the Amazon's biodiversity puzzle before we can use them to understand how ecological communities are responding. To increase generalization and applicability of biodiversity knowledge,18,19 it is thus crucial to reduce biases in ecological research, particularly in regions projected to face the most pronounced environmental changes. We integrate ecological community metadata of 7,694 sampling sites for multiple organism groups in a machine learning model framework to map the research probability across the Brazilian Amazonia, while identifying the region's vulnerability to environmental change. 15%–18% of the most neglected areas in ecological research are expected to experience severe climate or land use changes by 2050. This means that unless we take immediate action, we will not be able to establish their current status, much less monitor how it is changing and what is being lost

New 1,3-thiazole derivatives and their biological and ultrastructural effects on Trypanosoma cruzi

Submitted by Ana Maria Fiscina Sampaio ([email protected]) on 2016-12-13T14:26:25Z No. of bitstreams: 1 Gomes PATM New 1,3-thiazole derivatives....pdf: 2013088 bytes, checksum: 8ca722694d65ed4ac9b209d95a69248c (MD5)Approved for entry into archive by Ana Maria Fiscina Sampaio ([email protected]) on 2016-12-13T16:21:46Z (GMT) No. of bitstreams: 1 Gomes PATM New 1,3-thiazole derivatives....pdf: 2013088 bytes, checksum: 8ca722694d65ed4ac9b209d95a69248c (MD5)Made available in DSpace on 2016-12-13T16:21:46Z (GMT). No. of bitstreams: 1 Gomes PATM New 1,3-thiazole derivatives....pdf: 2013088 bytes, checksum: 8ca722694d65ed4ac9b209d95a69248c (MD5) Previous issue date: 2016CNPq; CAPES; PRONEX-FAPESB; PRONEM/FACEPE/CNPq.Universidade Federal de Pernambuco. Centro de Ciências da Saúde. Departamento de Ciências Farmacêuticas. Recife, PE, BrasilUniversidade Federal de Pernambuco. Centro de Ciências da Saúde. Departamento de Ciências Farmacêuticas. Recife, PE, BrasilUniversidade Federal de Pernambuco. Centro de Ciências da Saúde. Departamento de Ciências Farmacêuticas. Recife, PE, BrasilUniversidade de Pernambuco. Petrolina, PE, BrasilUniversidade Federal de Pernambuco. Centro de Ciências da Saúde. Departamento de Ciências Farmacêuticas. Recife, PE, BrasilUniversidade Federal de Pernambuco. Centro de Ciências da Saúde. Departamento de Ciências Farmacêuticas. Recife, PE, BrasilFundação Oswaldo Cruz. Centro de Pesquisas Gonçalo Moniz. Salvador, BA, BrasilFundação Oswaldo Cruz. Centro de Pesquisas Aggeu Magalhães. Recife, PE, BrasilFundação Oswaldo Cruz. Centro de Pesquisas Aggeu Magalhães. Recife, PE, BrasilFundação Oswaldo Cruz. Centro de Pesquisas Aggeu Magalhães. Recife, PE, BrasilFundação Oswaldo Cruz. Centro de Pesquisas Aggeu Magalhães. Recife, PE, BrasilMinistry of Education of Brazil. CAPES Foundation. Brasília, DF, Brasil / Universidade Federal de Minas Gerais. Departamento de Bioquímica e Imunologia. Belo Horizonte, MG, BrasilUniversidade Federal de Minas Gerais. Departamento de Bioquímica e Imunologia. Belo Horizonte, MG, BrasilUniversidade Federal de Pernambuco. Centro de Ciências da Saúde. Departamento de Ciências Farmacêuticas. Recife, PE, BrasilIn previous studies, the compound 3-(bromopropiophenone) thiosemicarbazone was described as a potent anti-Trypanosoma cruzi and cruzain inhibitor. In view to optimize this activity, 1,3-thiazole core was used as building-block strategy to access new lead generation of anti T. cruzi agents. In this way a series of thiazole derivatives were synthesized and most of these derivatives exhibited antiparasitic activity similar to benznidazole (Bzd). Among them, compounds (1c) and (1g) presented better selective index (SI) than Bzd. In addition, compounds showed inhibitory activity against the cruzain protease. As observed by electron microscopy, compound (1c) treatment caused irreversible and specific morphological changes on ultrastructure organization of T. cruzi, demonstrating that this class of compounds is killing parasites

Additional file 1 of Management of early-stage triple-negative breast cancer: recommendations of a panel of experts from the Brazilian Society of Mastology

Additional file 1: Table S1. Profile of the panelists (n = 27) and of the SBM affiliated breast surgeons (n = 214) who participated in the survey

Additional file 5 of Management of early-stage triple-negative breast cancer: recommendations of a panel of experts from the Brazilian Society of Mastology

Additional file 5: Table S5. Summary of the consensus among the SBM affiliated breast surgeons

Additional file 7 of Management of early-stage triple-negative breast cancer: recommendations of a panel of experts from the Brazilian Society of Mastology

Additional file 7: Table S7.1. Comparison between the panelists and the SBM affiliated breast surgeons regarding the questions related to diagnosis. Table S7.2. Comparison between the panelists and the SBM affiliated breast surgeons regarding the questions related to surgery. Table S7.3. Comparison between the panelists and the SBM affiliated breast surgeons regarding the questions related to radiotherapy. Table S7.4. Comparison between the panelists and the SBM affiliated breast surgeons regarding the questions related to systemic treatment