Adubação foliar com fontes de potássio em batata, cvs. Asterix e Markies

Trabalho de Conclusão de Curso (Graduação)A cultura da batata (Solanum tuberosum L), tem grande importância socioeconômica mundial, figurando anualmente entre os alimentos mais consumidos no mundo.Visando um aumento de produção e de qualidade foi realizado um manejo de adubação potássica em via foliar utilizando fontes com Sulfato de potássio (K-Leaf) e Tiossulfato de potássio (KTS). A pesquisa teve como objetivo avaliar a influência da aplicação de adubos foliares, KTS e KLeaf, em condições de campo na região de Perdizes-MG durante o desenvolvimento dos cultivares Asterix e Markies. O delineamento experimental foi em blocos ao acaso, com seis tratamentos e quatro repetições para cada variedade, totalizando 48 parcelas. Os tratamentos foram constituídos de aplicações de adubos foliares K-Leaf e KTS K-leaf (8 kg ha-1 ) e KTS (5 kg ha-1 ) foram efetuadas com pulverizador costal pressurizado com CO2, realizadas em diferentes dias ao longo do ciclo da cultura, Foram realizadas três coletas de amostras de folhas, sendo cada uma 15 dias após as aplicações foliares dos tratamentos, qual foram coletadas a 3ª folha a partir do tufo apical, num total de 8 folhas por tratamento. Estas amostras foram analisadas quanto aos macros e micronutrientes para determinar o estado nutricional das plantas. Foram realizadas avaliações para as características pós-colheita: matéria seca; sólidos solúveis e coloração da fritura. Ao final do experimento, avaliaram-se características produtivas e qualitativas, concluise que a aplicação do KTS 36 e 51 dias após o plantio, resultou em ganho de produção comercial na variedade Markies. Em relação aos atributos pós-colheita, não houve influência nos tratamento

Seismic behaviour of portuguese rammed earth buildings

Rammed earth is one of the oldest building materials in the world and is present in the Portugal with a particular focus in the South of the country. The mechanical properties and the structural behaviour of rammed earth constructions have been the subject of study of many researchers in the recent years. This study is part of a broader research on vernacular seismic culture in Portugal. Numerical analyses were carried out on a rammed earth masonry construction representative of the vernacular heritage of Alentejo region. Variations in the geometry, constructive characteristics and material properties were implemented and the main conclusions of the non-linear static and modal analysis are presented. Analysing the damage framework allowed interpreting the weaknesses of this type of constructions and consider the most appropriate reinforcement methodologies

Projeto de Melhoria da Qualidade: Promoção da Hospitalização Domiciliária em Cuidados Paliativos

A prevalência de doenças crónicas progressivas, tem aumentado a necessidade de cuidados paliativos e o domicílio surge como local privilegiado. O presente projeto que se enquadra na melhoria contínua da qualidade, tem como objetivo geral, contribuir para a implementação da hospitalização domiciliária em cuidados paliativos, promovendo a qualidade em saúde, e satisfação das necessidades da população no que diz respeito aos cuidados paliativos. Tivemos premente a metodologia adotada pela Ordem dos Enfermeiros Portuguesa para o desenvolvimento de projetos de melhoria contínua da qualidade, bem como a evidência científica, de forma a demonstrar que a fundamentação científica, o planeamento e respetiva definição de estratégias, objetivos e criação de indicadores mensuráveis, além de ajudarem nas tomadas de decisão nesta área, também permitem conceder visibilidade aos cuidados de enfermagem, constituindo ganhos para a população, profissionais e Sistema de SaúdeThe prevalence of progressive chronic diseases has increased the need for palliative care and the home appears as a privileged place. The project, which is part of continuous quality improvement, aimed to contribute to the implementation of hospital-based home care service in palliative care, promoting quality in health, and satisfying the needs of the population regarding to palliative care. This aims to contribute to the monitoring and surveillance of people with palliative needs to promote the quality of health. We urgently had the methodology adopted by the Portuguese Order of Nurses for the development of projects for continuous quality improvement, as well as scientific evidence, in order to demonstrate that the scientific basis, planning and respective definition of strategies, objectives and creation of measurable indicators, in addition to helping in decision making in this area, also allow granting visibility to nursing care, constituting gains for the population, professionals and the health system.info:eu-repo/semantics/publishedVersio

MAMMALS IN PORTUGAL : A data set of terrestrial, volant, and marine mammal occurrences in P ortugal

Mammals are threatened worldwide, with 26% of all species being includedin the IUCN threatened categories. This overall pattern is primarily associatedwith habitat loss or degradation, and human persecution for terrestrial mam-mals, and pollution, open net fishing, climate change, and prey depletion formarine mammals. Mammals play a key role in maintaining ecosystems func-tionality and resilience, and therefore information on their distribution is cru-cial to delineate and support conservation actions. MAMMALS INPORTUGAL is a publicly available data set compiling unpublishedgeoreferenced occurrence records of 92 terrestrial, volant, and marine mam-mals in mainland Portugal and archipelagos of the Azores and Madeira thatincludes 105,026 data entries between 1873 and 2021 (72% of the data occur-ring in 2000 and 2021). The methods used to collect the data were: live obser-vations/captures (43%), sign surveys (35%), camera trapping (16%),bioacoustics surveys (4%) and radiotracking, and inquiries that represent lessthan 1% of the records. The data set includes 13 types of records: (1) burrowsjsoil moundsjtunnel, (2) capture, (3) colony, (4) dead animaljhairjskullsjjaws, (5) genetic confirmation, (6) inquiries, (7) observation of live animal (8),observation in shelters, (9) photo trappingjvideo, (10) predators dietjpelletsjpine cones/nuts, (11) scatjtrackjditch, (12) telemetry and (13) vocalizationjecholocation. The spatial uncertainty of most records ranges between 0 and100 m (76%). Rodentia (n=31,573) has the highest number of records followedby Chiroptera (n=18,857), Carnivora (n=18,594), Lagomorpha (n=17,496),Cetartiodactyla (n=11,568) and Eulipotyphla (n=7008). The data setincludes records of species classified by the IUCN as threatened(e.g.,Oryctolagus cuniculus[n=12,159],Monachus monachus[n=1,512],andLynx pardinus[n=197]). We believe that this data set may stimulate thepublication of other European countries data sets that would certainly contrib-ute to ecology and conservation-related research, and therefore assisting onthe development of more accurate and tailored conservation managementstrategies for each species. There are no copyright restrictions; please cite thisdata paper when the data are used in publications.info: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 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

Mammals in Portugal: a data set of terrestrial, volant, and marine mammal occurrences in Portugal

Mammals are threatened worldwide, with ~26% of all species being included in the IUCN threatened categories. This overall pattern is primarily associated with habitat loss or degradation, and human persecution for terrestrial mammals, and pollution, open net fishing, climate change, and prey depletion for marine mammals. Mammals play a key role in maintaining ecosystems functionality and resilience, and therefore information on their distribution is crucial to delineate and support conservation actions. MAMMALS IN PORTUGAL is a publicly available data set compiling unpublished georeferenced occurrence records of 92 terrestrial, volant, and marine mammals in mainland Portugal and archipelagos of the Azores and Madeira that includes 105,026 data entries between 1873 and 2021 (72% of the data occurring in 2000 and 2021). The methods used to collect the data were: live observations/captures (43%), sign surveys (35%), camera trapping (16%), bioacoustics surveys (4%) and radiotracking, and inquiries that represent less than 1% of the records. The data set includes 13 types of records: (1) burrows | soil mounds | tunnel, (2) capture, (3) colony, (4) dead animal | hair | skulls | jaws, (5) genetic confirmation, (6) inquiries, (7) observation of live animal (8), observation in shelters, (9) photo trapping | video, (10) predators diet | pellets | pine cones/nuts, (11) scat | track | ditch, (12) telemetry and (13) vocalization | echolocation. The spatial uncertainty of most records ranges between 0 and 100 m (76%). Rodentia (n =31,573) has the highest number of records followed by Chiroptera (n = 18,857), Carnivora (n = 18,594), Lagomorpha (n = 17,496), Cetartiodactyla (n = 11,568) and Eulipotyphla (n = 7008). The data set includes records of species classified by the IUCN as threatened (e.g., Oryctolagus cuniculus [n = 12,159], Monachus monachus [n = 1,512], and Lynx pardinus [n = 197]). We believe that this data set may stimulate the publication of other European countries data sets that would certainly contribute to ecology and conservation-related research, and therefore assisting on the development of more accurate and tailored conservation management strategies for each species. There are no copyright restrictions; please cite this data paper when the data are used in publications

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