Aim: to investigate and describe, through a systematic review, the biological behavior and osteogenic potential of composite biomaterials containing hydroxyapatite (HA), alginate and gelatin, in different associations, after in vivo implantation. Materials and Methods: for the search and selection of articles, the Medical Literature Analysis and Retrieval System Online (PubMed/MEDLINE) and Scientific Electronic Library Online (SciELO) databases were used, published between 2012 and 2022, using the descriptors: “bone regeneration”; “biocompatible material”; “durapatite”; “alginate”; “gelatin”. Initially, an association was made with the Boolean operator "OR" between the descriptors and their respective entry terms, considering that the MeSH and DeCS platforms use different terms to refer to the same keywords. Subsequently, the "AND" operator was used in nine associations between the descriptors. Results: during the searches, 1939 articles were located. After using the inclusion and exclusion criteria, 16 studies were included in the review. The main themes found in the searches were: HA and Alginate; HA and Gelatin; HA, Alginate and Zinc; HA, Gelatin and mesenchymal cells; HA, Alginate and Chitosan; HA, Alginate and Silk Fibrin; HA, Gelatin and titanium dioxide; HA, Alginate and Gelatin. It was observed that HA, when associated with alginate or gelatin, has improved its osteogenic properties. Final Considerations: HA composites associated with alginate and gelatin provide a range of applications and promising strategies applied to bone repair. Studies have shown that these composites have great potential for application in Bone Tissue Bioengineering.
<p class="MsoNormalCxSpFirst" style="text-align: justify;"><strong><span style="font-size: 10.0pt;">Objetivo:</span></strong><span style="font-size: 10.0pt;"> </span><span style="font-size: 10.0pt; mso-fareast-font-family: Calibri;">Contextualizar o uso da microtomografia computadorizada (µTC) aplicada à bioengenharia tecidual óssea com o uso de biomateriais, com o foco em suas vantagens, limitações e aplicações em arcabouços, por meio de uma revisão de literatura.</span><span style="font-size: 10.0pt;"> <strong>Metodologia:</strong> </span><span style="font-size: 10.0pt; mso-fareast-font-family: Calibri;">Foram selecionados artigos originais e de revisão publicados entre 2006 e 2013,</span><span style="font-size: 10.0pt;"> </span><span style="font-size: 10.0pt; mso-fareast-font-family: Calibri;">em duas bases de dados bibliográficas - Literatura Internacional em Ciências da Saúde (PubMed) e Portal Periódicos CAPES. <strong>Resultados:</strong> Dos vinte e seis (26) artigos selecionados na busca, foram utilizados dezenove (19), para a escrita dessa revisão. <strong>Conclusão:</strong> </span><span style="font-size: 10.0pt;">O </span><span style="font-size: 10.0pt; mso-fareast-font-family: Calibri;">presente artigo é apenas prelúdio para o desenvolvimento de no</span><span style="font-size: 10.0pt;">vas pesquisas sobre a </span><span style="font-size: 10.0pt; mso-fareast-font-family: Calibri;">µTC</span><span style="font-size: 10.0pt;"> e visa o aprofundamento do conhecimento das aplicabilidades da mesma, no campo da bioengenharia tecidual óssea com o uso de biomateriais.</span></p>
Empirical mode decomposition (EMD) is a signal processing method that produces a data-driven multiresolution representation in time-domain suited to characterize time-varying and nonlinear phenomena. In EMD, intrinsic mode functions (IMF) are sequentially estimated from the signal of interest to represent different intrinsic oscillation modes and produce an orthogonal representation of the original information. Different algorithms have been proposed for IMF estimation to deal with limitations such as mode-mixing and noise sensitivity. EMD is usually associated with the Hilbert transform to obtain a frequency-domain representation. In this case, the method is referred to as the Hilbert-Huang transform (HHT). This paper presents a theoretical review of the fundamental aspects of both EMD and HHT, such as the IMF estimation procedure. Variations of the original EMD algorithm are also presented. Both simulated and experimental underwater acoustic signals are used to illustrate the efficiency of EMD/HHT in revealing relevant characteristics from time-varying and nonlinear phenomena.
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