Efeitos agudos do alongamento no músculo e na performance muscular: revisão bibliográfica

Trabalho apresentado à Universidade Fernando Pessoa como parte dos requisitos para obtenção do grau de Licenciado em FisioterapiaObjectivo: O objectivo deste projecto foi o de reunir artigos que estudassem os efeitos agudos do alongamento na performance e força máxima, permitindo assim, uma revisão bibliográfica. Metodologia: Foi feita uma pesquisa em bases de dados com a MEDLINE/Pubmed research, b-on, e PEDro, para artigos do ano de 2000 até à actualidade, na língua inglesa. Os artigos tinham que ser todos experimentais, e tinham que respeitar os termos usados na pesquisa. Foram excluídos os artigos que fugissem minimamente ao tema. Também o uso dos nomes de autores foi usado, como forma de pesquisa, para poder ter mais estudos sobre este tema. Resultados: Todos os artigos selecionados tiveram resultados idênticos, com provas de que um alongamento estático e por técnica de facilitação neuromuscular proprioceptiva (PNF) diminuíam a performance muscular e também a força máxima. Já um alongamento dinâmico tinha como efeito um aumento da força e da performance muscular. Conclusões: Idealmente, deverão ser usados como forma de aquecimento para actividade fisica, os alongamentos dinâmicos, e evitar usar alongamentos estáticos(protocolos prolongados) ou por PNF. Objective: The objective of this study was to gather articles that would study the effects of stretching in muscle performance and in maximal voluntary force. Methods: A search in databases like MEDLINE/Pubmed research, b-on, and PEDro were made, for articles from the year 2000 to the present day, in the English language. The articles had to be experimental and all had to respect the terms used in the research. All who did not respect the study’s topic were excluded. Further on the research, names of authers were used, in order to bet access to more articles of the same subject. Results: All articles had identical results, proving that static ou PNF stretching could diminish performance and maximal voluntary force. As for dynamic stretch, improvements in performance and force are achieved. Conclution: Idealy, dynamic stretchs should be used as a warm up for physical activities, avoiding the use of static or PNF stretching

Sex prediction based on mesiodistalwidth data in the Portuguese population

UIDB/04038/2020 UIDP/04038/2020Accurate sex prediction is a key step in creating a postmortem forensic profile as it excludes approximately half the population. It is our goal to develop a predictive model to establish sex through teeth mesiodistal widths in a Portuguese population. The pretreatment dental casts of 168 of Portuguese orthodontics subjects (59 males and 109 females) were included. Mesiodistal widths from right first molar to left first molar were measured on each pretreatment cast to the nearest 0.01 mm using a digital caliper. Overall, the mesiodistal widths of the upper and lower canines, premolars, and molars were found to be significantly different between females and males. Conversely, no significant differences between sexes were identified for incisors. A multivariate logistic regression model for sex prediction was developed and the teeth included in the final reduced model being the upper left canine (2.3), the lower right lateral incisor (4.2) and the lower right canine (4.3). There is a prevalence of sexual dimorphism in all teeth except the incisors. The canines present the most noticeable difference between sexes. The presented sex determination predictive model exhibits an overall correct classification of 75%, outperforming all available models for this purpose and therefore is a potential tool for forensic analysis in this population.publishersversionpublishe

Validation of the Third Molar Maturation Index (I-3M) to assess the legal adult age in the Portuguese population

UIDB/04038/2020 UIDP/04038/2020Age estimation is a major step in forensic and legal procedures. Its relevance has been increasing due to growing society issues, such as identification of missing people, crimes against minors or lack of valid identification papers from locals or foreigners. Evaluation of the cut-off value of the Third Molar Maturation Index (I3M) = 0.08 for discriminating minors from adults in the Portuguese population. The left lower third molars were analysed by applying a specific cut-off value of 0.08 determined by Cameriere et al. in 2008. A sample of 778 digital panoramic radiographs of a representative Portuguese sample (442 females and 336 males), in the age range of 12–24 years (mean age 17.7 ± 2.98 years in females and 18.1 ± 3.0 years in males), was retrospectively evaluated. I3M decreased as the real age gradually increased in both sexes. The 0.08 cut-off score was valuable in discriminating adults from minors. According to the pooled results, the accuracy, by means of area under the curve, was 92.8% (95% confidence interval (CI) 91.0–94.6%). The proportion of correctly classified subjects (sensitivity) was 90.7% (95% CI 88.7–92.8%) and the specificity was 94.9% (95% CI 93.3–96.4%). The results show that I3M is a valuable method to differentiate minors from adults in the Portuguese population.publishersversionpublishe

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

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

An Umbrella Review of the evidence of sex determination procedures in Forensic Dentistry

To determine what is the current evidence on age determination approaches in Forensic Dentistr

External Cervical Resorption—The Commonly Misdiagnosed, Destructive Resorption—A Pilot Study

External cervical resorption is a relatively uncommon, often misdiagnosed, destructive form of external resorption. It consists of an uncontrolled growth of resorptive tissue and consequent loss of mineralized tooth tissue, in an apical direction. The clastic cells are responsible for the process, which can lead to severe deterioration and, eventually, tooth loss. To date, however, an etiological factor has not yet been found. Dentists and students still have difficulties in diagnosing and treating it. In May 2023, a structural questionnaire about external cervical resorption was distributed via Google Forms to 104 people between dentists and fourth- and fifth-year students