Session Five: Expert Panel Discussion on Fighting Impunity

Kata kunci: Metode Sugestopedia, Kepercayaan Diri Permasalahan pokok dalam penelitian ini adalah bagaimana implementasi metode sugestopedia dalam membangun self-confidence (kepercayaan diri) pada pembelajaran matematika siswa kelas VIII MTs. SA Sampano

Automated image analysis of lung branching morphogenesis from microscopic images of fetal rat explants

Article ID 820214Background. Regulating mechanisms of branching morphogenesis of fetal lung rat explants have been an essential tool for molecular research. This work presents a new methodology to accurately quantify the epithelial, outer contour, and peripheral airway buds of lung explants during cellular development from microscopic images. Methods. The outer contour was defined using an adaptive and multiscale threshold algorithm whose level was automatically calculated based on an entropy maximization criterion. The inner lung epithelium was defined by a clustering procedure that groups small image regions according to the minimum description length principle and local statistical properties. Finally, the number of peripheral buds was counted as the skeleton branched ends from a skeletonized image of the lung inner epithelia. Results. The time for lung branching morphometric analysis was reduced in 98% in contrast to the manual method. Best results were obtained in the first two days of cellular development, with lesser standard deviations. Nonsignificant differences were found between the automatic and manual results in all culture days. Conclusions. The proposed method introduces a series of advantages related to its intuitive use and accuracy, making the technique suitable to images with different lighting characteristics and allowing a reliable comparison between different researchers.The authors acknowledge Foundation for Science and Technology (FCT), Portugal, for the fellowship with the references: SFRH/BD/74276/2010 and SFRH/BPD/46851/2008

Hallucinations in Large Multilingual Translation Models

Large-scale multilingual machine translation systems have demonstrated remarkable ability to translate directly between numerous languages, making them increasingly appealing for real-world applications. However, when deployed in the wild, these models may generate hallucinated translations which have the potential to severely undermine user trust and raise safety concerns. Existing research on hallucinations has primarily focused on small bilingual models trained on high-resource languages, leaving a gap in our understanding of hallucinations in massively multilingual models across diverse translation scenarios. In this work, we fill this gap by conducting a comprehensive analysis on both the M2M family of conventional neural machine translation models and ChatGPT, a general-purpose large language model~(LLM) that can be prompted for translation. Our investigation covers a broad spectrum of conditions, spanning over 100 translation directions across various resource levels and going beyond English-centric language pairs. We provide key insights regarding the prevalence, properties, and mitigation of hallucinations, paving the way towards more responsible and reliable machine translation systems

Optimization of injection blow molding: part I – defining part thickness profile

Manuscript DraftThis paper suggests a methodology based on a neuroevolutionary approach to optimize the use of material in blow molding applications. This approach aims at determining the optimal thickness distribution for a certain blow molded product as a function of its geometry. Multiobjective search is performed by neuroevolution to reflect the conflicting nature of the design problem and to capture some possible trade-offs. During the search, each design alternative is evaluated through a finite element analysis. The coordinates of mesh elements are the inputs to an artificial neural network that is evolved and whose output determines the thickness for the corresponding location. The proposed approach is applied to the design of an industrial bottle. The results reveal validity and usefulness of the proposed technique, which were able to distribute the material along mostcritical regions to adequate mechanical properties. The approach is general and can be applied to products with different geometries.Programa Operacional para a Competitividade e Internacionalização -COMPETE 2020, projectos POCI-01-0145-FEDER-007688 e POCI-01-0247-FEDER-00279

Cynara cardunculus: Use in Cheesemaking and Pharmaceutical Applications

Cynara cardunculus L. is the most widespread species of Cynara genus (f. Asteraceae). This herbaceous perennial plant is native to the Mediterranean region and invasive in other parts of the world, growing naturally in harsh habitat conditions. There are three subspecies: globe artichoke; cultivated cardoon and the progenitor of the two, the wild cardoon. The culture of Cynara cardunculus L. follows an annual growth cycle, emerging in autumn and harvesting in summer. Cynara cardunculus has been considered as a multi-purpose crop due to its relevant biochemical profiles. Inflorescences have been used as food, whereas leaves are a rich source of bioactive compounds. Consequently, larger plants without spines have been selected for technological purposes. Due to its high cellulose and hemicellulose content, the lignocellulosic fraction has been used as solid biofuel, biogas and bioethanol. Both pulp fibers production and seeds oil are suitable for biodiesel production. Over the centuries, the inflorescence pistils of Cynara cardunculus L. have been widely used for cheesemaking. The present chapter gives an overview of the Cynara cardunculus L. emphasizing recent knowledge regarding the use, conservation, preparation and application of Cynara cardunculus in ovine milk cheesemaking, as well as other biotechnological applications

Characterization of Cynara cardunculus L. flower from Alentejo as a coagulant agent for cheesemaking

This work was supported by the project ValBioTecCynara (ALT2003-0145- FEDER-000038) - Economic valorisation of Cardoon (Cynara cardunculus): study of natural variability and biotechnological applications), cofinanced by FEDER under the Alentejo 2020 Program.The cardoon (Cynara cardunculus L.) is a mandatory vegetable coagulant for certain Protected Designation of Origin Portuguese cheeses. It grows wild in Portugal and is used without any type of control regarding flower picking or extract preparation, representing some uncertainty in cheese manufacture. The variability in technological properties, in the context of traditional cheese manufacture, of cardoon flower ecotypes from the Alentejo region was evaluated, including milk clotting and proteolytic activities, coagulation properties and potential cheesemaking yield of flower extracts. Multivariate statistics highlighted the variability of flower properties for cheesemaking, but allowed the aggregation of the ecotypes into five groups under the major influence of milk clotting activity and effect on gel firmness and micellar aggregation rate, followed by proteolytic activity. These differences may have an impact on cheese properties and therefore can allow the selection of cardoon flower for the manufacture of different types of cheese.publishersversionpublishe