Repositório Científico da Universidade Politécnica de Castelo Branco
RC UPCB - Repositório Científico
Entradas recentes
Georreferenciação do Esboço Geomorfológico da Quinta Senhora de Mércules
Publication . Roque, Natália
A compatibilização espacial dos dados sem informação geométrica nativa, executou-se a georreferenciação em ambiente de Sistemas de Informação Geográfica (SIG). O fluxo de trabalho consistiu na importação da imagem, através de rasterização, adquirida com ScanStation (Context HDUltra X,Mod. 4290 de 42”), e na posterior recolha e distribuição homogénea de pontos de controlo geográficos, vinculando feições identificáveis da imagem de origem a coordenadas homólogas da camada de referência. O ajuste espacial foi refinado com base na minimização do erro residual individual e global (RMS Error). O resultado final foi consolidado e exportado como um novo ficheiro matricial georreferenciado, garantindo a integridade métrica necessária para análises espaciais subsequentes.
Georreferenciação da Carta Altimétrica da Quinta Senhora de Mércules
Publication . Roque, Natália
A compatibilização espacial dos dados sem informação geométrica nativa, executou-se a georreferenciação em ambiente de Sistemas de Informação Geográfica (SIG). O fluxo de trabalho consistiu na importação da imagem, através de rasterização, adquirida com ScanStation (Context HDUltra X,Mod. 4290 de 42”), e na posterior recolha e distribuição homogénea de pontos de controlo geográficos, vinculando feições identificáveis da imagem de origem a coordenadas homólogas da camada de referência. O ajuste espacial foi refinado com base na minimização do erro residual individual e global (RMS Error). O resultado final foi consolidado e exportado como um novo ficheiro matricial georreferenciado, garantindo a integridade métrica necessária para análises espaciais subsequentes.
Industry digitalization technological developments in forest machines towards forestry 4.0
Publication . Sampaio, Carlos; Torres, Pedro; Farinha, Luís
This paper describes a case study, where the applicability of digital tools helps an SME to implement the concepts of Industry Digitization, reinforcing its entrepreneurial activity. We adopted a qualitative research methodology, through a case study, involving a research project for the digitization of the industry and technological developments in forest machines towards forestry 4.0. The case study reveals an example of technological improvements that solve a concrete problem and open the doors of a product to new markets, new customer demands , opening new market horizons through digitally based entrepreneurial practices.
A new antibacterial protocol based on Cymbopogon nardus (L.) rendle essential oil and UV-C radiation with potential application for hatching eggs
Publication . Oliveira , Gabriel da Silva; McManus , Concepta; Delgado, F.M.G.; Domingues , Joana; Oliveira Filho , Josemar Gonçalves de; Salgado, Cristiane Batista; Sousa , Heloisa Alves de Figueiredo; Santos, Vinícius Machado dos
Background/Objectives: Hatching egg sanitization protocols are primarily developed to protect embryos during the embryonic stage from exposure to horizontally transmitted pathogenic bacteria, thereby ensuring their survival. This study aimed to evaluate the antibacterial efficacy of Cymbopogon nardus (L.) Rendle (Poaceae) essential oil, alone or combined with UV-C radiation, as a potential sanitization protocol for hatching eggs.
Methods: Unwashed table eggs, used as an experimental model, were sprayed with C. nardus essential oil at two concentrations (0.625–1.25%) and exposed to UV-C radiation for different exposure times (0–10 min). Mesophilic bacterial load and the physical characteristics of the eggshell were subsequently evaluated.
Results: A significant reduction in the mesophilic bacterial load on the eggshell surface was observed following the application of the treatments. C. nardus essential oil promoted reductions greater than 2 log10 CFU/mL, demonstrating strong antimicrobial activity. The application of UV-C radiation alone resulted in a progressive decrease in the bacterial population, reaching approximately 2 log10 CFU/mL after 10 min of exposure. However, the combination of the essential oil and UV-C radiation showed the highest antibacterial efficacy, reducing bacterial counts to below 1 log10 CFU/mL, indicating that the combination of the two technologies was more effective than either treatment applied alone. No significant macroscopic changes were observed in the physical characteristics of the eggshells.
Conclusions: The combined application of C. nardus essential oil and UV-C radiation on the eggshell surface may represent a promising sanitization protocol with potential application for hatching eggs.
From pollen to patterns: authentication and geographical classification of stingless bee honey by melissopalynology and chemometrics
Publication . Hernández Zarta, Héctor Hernán; Caruso, Sebastian; Ressutte, Jéssica; Luz, Cynthia F.P. da; Anjos, O.; Spinosa, Wilma A.; Galvan, Diego
The geographical origin of stingless bee honey influences its physicochemical, biochemical, and sensory characteristics. In this study, we propose a chemometric approach for the geographical classification and authentication of Brazilian stingless bee honey based on melissopalynological profiling. A dataset of honey samples from five Brazilian states (Par´a, Maranh˜ao and Amazonas in the North; Rio Grande do Sul and Paran´a in the South) and five genera of stingless bees was assembled. Pollen types were identified and quantified under photonic microscopy, and the relative frequencies of key pollen types were used as input variables. Principal Component Analysis (PCA) revealed clear geographical differentiation, with Northern honeys associated with pollen types such as Tapirira guianensis, Triplaris, and Protium, whereas Southern were differentiated from Eucalyptus, Allophylus edulis, and Mimosa scabrella. Partial Least Squares Discriminant Analysis (PLS-DA) modeling achieved a satisfactory classification between Northern and Southern honeys, with zero misclassifications. In addition, a one-class classification using Data-Driven Soft Independent Modeling of Class Analogy (DD-SIMCA) successfully authenticated honeys from Rio Grande do Sul, yielding perfect metrics in sensitivity, specificity, and accuracy. These findings indicate that pollen composition, coupled with robust chemometric analyses, provides reliable
markers for the geographical classification and authentication of stingless bee honey.