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A perturbação de personalidade borderline (PPBL) constitui‑se como uma perturbação da personalidade usualmente exigente quanto ao tratamento, caracterizada por desregulação afetiva persistente, instabilidade da identidade ou autoestima, impulsividade, conflitos interpessoais persistentes e comportamentos autolesivos. O intenso sofrimento subjetivo e o aumento das necessidades de saúde também são característicos desta perturbação. Embora a psicoterapia seja o tratamento gold‑standard, o tratamento farmacológico torna‑se necessário em vários casos. As presentes recomendações visam uma melhor gestão farmacológica da PPBL, fundamentada numa revisão abrangente da literatura que incluiu estudos relevantes e orientações clínicas de organizações como o National Institute for Health and Care Excellence, a World Federation of Societies of Biological Psychiatry e o Australian National Health and Medical Research Council. Diferentes fármacos podem efetivamente melhores diferentes dimensões sintomáticas: alterações cognitivo‑percetuais, desregulação afetiva, impulsividade e disfunção interpessoal. As principais conclusões indicam que os antidepressivos, particularmente os ISRS e os tricíclicos, demonstram eficácia na redução dos sintomas depressivos e da impulsividade. Os estabilizadores de humor, incluindo a lamotrigina e o valproato, mostraram benefícios para a desregulação emocional e comportamentos impulsivos. Os antipsicóticos, nomeadamente o aripiprazol e a olanzapina, proporcionam alívio da desregulação emocional severa e da agressão impulsiva. Destaca‑se a eficácia do aripiprazol no tratamento de todas as dimensões sintomáticas. Contudo, uma consideração cuidadosa do perfil de efeitos adversos é crucial, dado o potencial para efeitos indesejáveis, particularmente em populações vulneráveis. Apesar da utilidade reconhecida das intervenções farmacológicas, as limitações na literatura existente, como a variabilidade metodológica e a falta de consenso nas definições de sintomas, limitam a interpretação dos resultados. São necessários estudos longitudinais que avaliem tanto os resultados a curto como a longo prazo do tratamento farmacológico. Um compromisso contínuo com a investigação, dentro de um quadro multidisciplinar, é essencial para otimizar a gestão clínica da PPBL e aprimorar a nossa compreensão da eficácia dos psicofármacos nesta perturbação.

Conflict of interest: No Introduction and Objectives: Infections are a frequent cause of decompensation in patients with liver cirrhosis (LC). Understanding local microbiology is important for the correct choice of antibiotics and achieving good clinical outcomes. Objective: To evaluate the microbiology of infections in patients with cirrhosis who were hospitalized in our institution between 2015 and 2022. Patients / Materials and Methods: A retrospective, observational, and analytical study of LC patients hospitalized for any reason between 2015 and 2022. Positive cultures in LC patients (1036 in total) were reviewed, focusing on blood cultures, ascitic fluid cultures, and other types (bronchial secretions, devices and pleural fluid). Urine cultures, non-infection-related episodes, and contamination cases were excluded. Clinical characteristics of patients in each episode, as well as antimicrobial resistance of each organism, were analyzed. STATA 13.0 was used for data analysis with significance set at < 0.05. Results and Discussion: A total of 494 episodes of positive cultures from 187 LC patients were included; median age was 61 years (20-81), with 62% male. In 41% of episodes, the patient was immunosuppressed, and 47% were on prophylactic antibiotics. Forty percent of cultures were blood cultures, 20% ascitic fluid, and 40% other types of cultures. The most frequently isolated microorganisms were Enterobacteriaceae and Gram-positive bacteria. Resistance to extended-spectrum beta-lactamases, Vancomycin, and carbapenemases was evaluated, with Vancomycin resistance being the most frequent, only evaluated in enterococci. Immunosuppression was significantly associated with antibiotic resistance (56% vs 25%; p=0.001), whereas prior use of prophylactic antibiotics did not show a significant association (40% in both groups). Conclusions: The results suggest the need for empirical therapies for our patients and emphasize the importance of rational antibiotic use.

Abstract Recent studies have shown that the microbiome can impact cancer development, progression, and response to therapies suggesting microbiome-based approaches for cancer characterization. As cancer-related signatures are complex and implicate many taxa, their discovery often requires Machine Learning approaches. This review discusses Machine Learning methods for cancer characterization from microbiome data. It focuses on the implications of choices undertaken during sample collection, feature selection and pre-processing. It also discusses ML model selection, guiding how to choose an ML model, and model validation. Finally, it enumerates current limitations and how these may be surpassed. Proposed methods, often based on Random Forests, show promising results, however insufficient for widespread clinical usage. Studies often report conflicting results mainly due to ML models with poor generalizability. We expect that evaluating models with expanded, hold-out datasets, removing technical artifacts, exploring representations of the microbiome other than taxonomical profiles, leveraging advances in deep learning, and developing ML models better adapted to the characteristics of microbiome data will improve the performance and generalizability of models and enable their usage in the clinic.

Measuring greenhouse gas emissions from wastewater treatment plants is of utmost importance in the context of climate change. However, due to their variability and complexity, it is a particularly challenging task in aerated reactors. The current methods involve capturing gas emissions from the water surface, measuring gas flow rates, and determining the concentration of the emitted gas at that location. Our study proposes a new, more efficient method that eliminates the need for gas flow rate measurements and additional equipment. The proposed technique uses a gas analyzer and a specially designed floating chamber to measure the transient trend of gas concentration within the chamber from the moment it is deployed to when it reaches a new steady state. Our research shows that this method accurately determines methane and carbon dioxide emissions from aerated reactors and potentially other gases emitted in wastewater treatment plants. It is cost effective, versatile, and simplifies the measurement process. This method facilitates the assessment of greenhouse gas emissions in wastewater treatment plants. Our findings are backed by comprehensive testing in the aeration tanks of a full-scale activated sludge plant, across diverse conditions, including fine- and coarse-bubble aeration. HIGHLIGHTS A simple chamber method is proposed to measure gas emissions in aerated reactors.; The method is designed for surface gas flow rate and concentration determination.; It utilizes only a chamber and a gas analyzer for simplicity and cost savings.; Together, these features offer a simplified tool for characterizing large-scale reactors.; The method was successfully applied to a full-scale wastewater plant.;

Like many other Small Island Developing States, São Tomé and Príncipe’s economy faces major weaknesses and constraints. These challenges are especially marked on the island of Príncipe, owing to its small size and double insularity. In recent decades, tourism, driven by international investment, has become a strategic sector for territorial development. This study assesses the suitability of this exogenous model and explores the feasibility of adopting a progressive change to a more community-centered tourism development model. Extensive fieldwork and multi-stakeholder collaboration have highlighted the need for a holistic, multi-dimensional strategy to secure this change. Such a strategy would prioritize local skills enhancement, infrastructure improvement, better governance and the diversification of tourism products and experiences. The gradual shift to a more endogenous approach in tourism development aims to strengthen sustainability across its multiple dimensions, ensuring more substantial and direct benefits for the local community and adding value to tourist services and experiences.

A autenticidade e a riqueza dos conteúdos são elementos cada vez mais diferenciadores para a afirmação dos destinos. A globalização tem incentivado a partilha intercultural e a cultura pop japonesa é um bom exemplo, ao expandir-se para todo o mundo, influenciando eventos e deslocações de fãs entre destinos pela sua variedade de elementos que atraem a atenção de diversos públicos. O presente estudo analisa a relação entre turismo, eventos e a cultura pop japonesa, explorando a potencialidade turística desta tendência e os impactes dos eventos relativos a esta cultura, quer seja para o destino anfitrião, como para a origem destes conteúdos. Para além de uma profunda revisão da literatura esta investigação é sustentada por uma abordagem mista, qualitativa e quantitativa, recorrendo a observações diretas e participantes a alguns dos maiores eventos desta temática, questionários a participantes de diferentes nacionalidades e entrevistas a diversos stakeholders. Os resultados permitem evidenciar que esses eventos desempenham um papel significativo na promoção do turismo de conteúdos, conectando culturas e promovendo relações sólidas entre diferentes nações. São evidenciados vários impactes e oportunidades associadas a estes eventos, que se distinguem pela multiplicidade de atividades e o seu carácter ativo e social.

Abstract Natural disturbances can modify extinction-colonization dynamics, driving changes in the genetic diversity and structure of marine populations. Along Chilean coast (36°S, 73°W), a strong hypoxic-upwelling event in 2008, and a mega earthquake-tsunami in 2010 caused mass mortality within the Aphos porosus population, which is a vulnerable species with low dispersal potential. We evaluated the effects of these two major disturbances on the diversity and spatial-temporal genetic structure of Aphos porosus in two neighboring areas that were impacted on different levels (High level: Coliumo Bay; Low level: Itata Shelf). Thirteen microsatellites (from 2008 to 2015) amplified in individuals collected from both locations were used to evaluate the effects of the two disturbances. Results showed that after the strong hypoxic-upwelling event and the mega earthquake-tsunami, Aphos porosus populations exhibited lower genetic diversity and less effective population sizes (Ne

Abstract Emerging evidence of the relationship between the microbiome composition and the development of numerous diseases, including cancer, has led to an increasing interest in the study of the human microbiome. Technological breakthroughs regarding DNA sequencing methods propelled microbiome studies with a large number of samples, which called for the necessity of more sophisticated data-analytical tools to analyze this complex relationship. The aim of this work was to develop a machine learning-based approach to distinguish the type of cancer based on the analysis of the tissue-specific microbial information, assessing the human microbiome as valuable predictive information for cancer identification. For this purpose, Random Forest algorithms were trained for the classification of five types of cancer—head and neck, esophageal, stomach, colon, and rectum cancers—with samples provided by The Cancer Microbiome Atlas database. One versus all and multi-class classification studies were conducted to evaluate the discriminative capability of the microbial data across increasing levels of cancer site specificity, with results showing a progressive rise in difficulty for accurate sample classification. Random Forest models achieved promising performances when predicting head and neck, stomach, and colon cancer cases, with the latter returning accuracy scores above 90% across the different studies conducted. However, there was also an increased difficulty when discriminating esophageal and rectum cancers, failing to differentiate with adequate results rectum from colon cancer cases, and esophageal from head and neck and stomach cancers. These results point to the fact that anatomically adjacent cancers can be more complex to identify due to microbial similarities. Despite the limitations, microbiome data analysis using machine learning may advance novel strategies to improve cancer detection and prevention, and decrease disease burden.

Purpose: The purpose of this paper is to understand whether or not the European Foundation for Quality Management (EFQM) Model and the Shingo Model promote and are embedded into the three pillars of sustainability, as well as to propose a conceptual model for excellence in business towards sustainability. Methodology/Approach: Following the PRISMA methodology, 102 articles were included in the review. A bibliometric co-citation network was created based on those publications to understand the link between the topics, using the VOSViewer software. This paper presents a literature review on the topics of the EFQM and Shingo Model, Corporate sustainability (CS), and the relationship between the excellence models and CS. Findings: Findings from the literature review indicate that effectively the new version of the EFQM Model and the Shingo Model guide organisations towards achieving sustainable economic, social, and environmental results. Research Limitation/Implication: There are still a restricted number of articles on the Shingo Model and on the relationship between the Shingo Model and CS, as well as, on the latest version of the EFQM Model and therefore on the relationship between this model version and CS, which presents a limitation to this paper. Originality/Value of paper: This paper contributes to filling the literature gap regarding the lack of studies evolving the EFQM 2020 model version and the Shingo Model, as well as its relationship with CS.

Familial hypercholesterolemia (FH) is a common genetic disorder of lipid metabolism caused by pathogenic/likely pathogenic variants in LDLR, APOB, and PCSK9 genes. Variants in FH-phenocopy genes (LDLRAP1, APOE, LIPA, ABCG5, and ABCG8), polygenic hypercholesterolemia, and hyperlipoprotein (a) [Lp(a)] can also mimic a clinical FH phenotype. We aim to present a new diagnostic tool to unravel the genetic background of clinical FH phenotype. Biochemical and genetic study was performed in 1,005 individuals with clinical diagnosis of FH, referred to the Portuguese FH Study. A next-generation sequencing panel, covering eight genes and eight SNPs to determine LDL-C polygenic risk score and LPA genetic score, was validated, and used in this study. FH was genetically confirmed in 417 index cases: 408 heterozygotes and 9 homozygotes. Cascade screening increased the identification to 1,000 FH individuals, including 11 homozygotes. FH-negative individuals (phenotype positive and genotype negative) have Lp(a) >50 mg/dl (30%), high polygenic risk score (16%), other monogenic lipid metabolism disorders (1%), and heterozygous pathogenic variants in FH-phenocopy genes (2%). Heterozygous variants of uncertain significance were identified in primary genes (12%) and phenocopy genes (7%). Overall, 42% of our cohort was genetically confirmed with FH. In the remaining individuals, other causes for high LDL-C were identified in 68%. Hyper-Lp(a) or polygenic hypercholesterolemia may be the cause of the clinical FH phenotype in almost half of FH-negative individuals. A small part has pathogenic variants in ABCG5/ABCG8 in heterozygosity that can cause hypercholesterolemia and should be further investigated. This extended next-generation sequencing panel identifies individuals with FH and FH-phenocopies, allowing to personalize each person’s treatment according to the affected pathway.

This Special Issue delves into the challenges and threats associated with rural economic diversification [...]

Abstract This experimental investigation presents results and a discussion on a series of four reinforced concrete pile caps with and without steel fibers, measuring 400 × 400 × 1000 mm3, which were tested under concentric loading. The study set the steel fiber and the inclined shear reinforcement as variables. The fiber volume fraction was 1.5%, and the concrete compressive strength was 25 MPa. The results showed a tendency to increase ductility and ultimate strength with the use of inclined shear reinforcement; the same behavior was observed with the addition of steel fibers, improving the performance of the tested pile caps. This study opens the possibility of designing slender pile caps, especially when associated with both analyzed parameters.

Summary: Background: Antimicrobial resistance (AMR) is among the most critical global health threats of the 21st century. AMR is primarily driven by the use and misuse of antibiotics but can be affected by socioeconomic and environmental factors. Reliable and comparable estimates of AMR over time are essential to making public health decisions, defining research priorities, and evaluating interventions. However, estimates for developing regions are scant. We describe the evolution of AMR for critical priority antibiotic-bacterium pairs in Chile and examine their association with hospital and community-level characteristics using multivariate rate-adjusted regressions. Methods: Drawing on multiple data sources, we assembled a longitudinal national dataset to analyse AMR levels for critical priority antibiotic-bacterium combinations in 39 private and public hospitals (2008–2017) throughout the country and characterize the population at the municipality level. We first described trends of AMR in Chile. Second, we used multivariate regressions to examine the association of AMR with hospital characteristics and community-level socioeconomic, demographic, and environmental factors. Last, we estimated the expected distribution of AMR by region in Chile. Findings: Our results show that AMR for priority antibiotic-bacterium pairs steadily increased between 2008 and 2017 in Chile, driven primarily by Klebsiella pneumoniae resistant to third-generation cephalosporins and carbapenems, and vancomycin-resistant Enterococcus faecium. Higher hospital complexity, a proxy for antibiotic use, and poorer local community infrastructure were significantly associated with greater AMR. Interpretation: Consistent with research in other countries in the region, our results show a worrisome increase in clinically relevant AMR in Chile and suggest that hospital complexity and living conditions in the community may affect the emergence and spread of AMR. Our results highlight the importance of understanding AMR in hospitals and their interaction with the community and the environment to curtail this ongoing public health crisis. Funding: This research was supported by the Agencia Nacional de Investigación y Desarrollo (ANID), Fondo Nacional de Desarrollo Científico y Tecnológico FONDECYT, The Canadian Institute for Advanced Research (CIFAR), and Centro UC de Políticas Públicas, Pontificia Universidad Católica de Chile.

Background: The Regional Basis of Solid Tumor (RBST), a clinical data warehouse, centralizes information related to cancer patient care in 5 health establishments in 2 French departments. Purpose: To develop algorithms matching heterogeneous data to “real” patients and “real” tumors with respect to patient identification (PI) and tumor identification (TI). Methods: A graph database programed in java Neo4j was used to build the RBST with data from ~20 000 patients. The PI algorithm using the Levenshtein distance was based on the regulatory criteria identifying a patient. A TI algorithm was built on 6 characteristics: tumor location and laterality, date of diagnosis, histology, primary and metastatic status. Given the heterogeneous nature and semantics of the collected data, the creation of repositories (organ, synonym, and histology repositories) was required. The TI algorithm used the Dice coefficient to match tumors. Results: Patients matched if there was complete agreement of the given name, surname, sex, and date/month/year of birth. These parameters were assigned weights of 28%, 28%, 21%, and 23% (with 18% for year, 2.5% for month, and 2.5% for day), respectively. The algorithm had a sensitivity of 99.69% (95% confidence interval [CI] [98.89%, 99.96%]) and a specificity of 100% (95% CI [99.72%, 100%]). The TI algorithm used repositories, weights were assigned to the diagnosis date and associated organ (37.5% and 37.5%, respectively), laterality (16%) histology (5%), and metastatic status (4%). This algorithm had a sensitivity of 71% (95% CI [62.68%, 78.25%]) and a specificity of 100% (95% CI [94.31%, 100%]). Conclusion: The RBST encompasses 2 quality controls: PI and TI. It facilitates the implementation of transversal structuring and assessments of the performance of the provided care.

El presente artículo de investigación reflexiona acerca de las amenazas descritas en la literatura actualizada a la salud psicológica y mental de los jóvenes en el sistema educativo del nivel superior, por causa del confinamiento por la crisis sanitaria mundial. Con ello, se pretende aportar una compilación de bases disertativas y teórico-empíricas que permitan poner en contexto los problemas de salud mental, conductas agresivas e, incluso, destructivas, que desvían al estudiante de sus propósitos educacionales, en el contexto pandémico. Adicionalmente, a partir de ello, se genera una comprensión de amenazas y debilidades que pueden servir a las políticas tanto educativas como criminales de prevención, tanto al fracaso estudiantil, como al aumento del delito. Se procedió a revisar la literatura sobre repercusiones psicosociales en los estudiantes del nivel universitario a través de una metodología de enfoque cualitativo con diseño bibliográfico de revisión sistemática y analítica, de profundidad descriptiva. En este esfuerzo se contrastan 20 documentos sobre posibles efectos en la salud mental y el comportamiento violento.

Deep Learning (DL) based classification algorithms have been shown to achieve top results in clinical diagnosis, namely with lung cancer datasets. However, the complexity and opaqueness of the models together with the still scant training datasets call for the development of explainable modeling methods enabling the interpretation of the results. To this end, in this paper we propose a novel interpretability approach and demonstrate how it can be used on a malignancy lung cancer DL classifier to assess its stability and congruence even when fed a low amount of image samples. Additionally, by disclosing the regions of the medical images most relevant to the resulting classification the approach provides important insights to the correspondent clinical meaning apprehended by the algorithm. Explanations of the results provided by ten different models against the same test sample are compared. These attest the stability of the approach and the algorithm focus on the same image regions.

Total Productive Maintenance (TPM) has gain increasing relevance into the companies, which can help in increasing the productivity due to less equipment stoppages. The unavailability of the equipment directly affects the company's performance, which can be measured through the OEE. However, the organization of SMEs is not always properly organized, to have a concrete sense of the losses that can accumulate due to equipment unavailability. This work aimed to develop a framework capable of responding effectively in the beginning of the implementation process of a TPM system. A novel sequence of application of tools was created, both linked to lean and quality, which, when applied in the correct sequence, allow solving some persistent problems in a few steps, resulting in significant gains for companies. The model was applied to a company in the cork industry, and it was possible to verify its effectiveness.

Tupí-Guaraní is one of the largest branches of the Tupían language family, but despite its relevance there is no consensus about its origins in terms of age, homeland, and expansion. Linguistic classifications vary significantly, with archaeological studies suggesting incompatible date ranges while ethnographic literature confirms the close similarities as a result of continuous inter-family contact. To investigate this issue, we use a linguistic database of cognate data, employing Bayesian phylogenetic methods to infer a dated tree and to build a phylogeographic expansion model. Results suggest that the branch originated around 2500 BP in the area of the upper course of the Tapajós-Xingu basins, with a split between Southern and Northern varieties beginning around 1750 BP. We analyse the difficulties in reconciling archaeological and linguistic data for this group, stressing the importance of developing an interdisciplinary unified model that incorporates evidence from both disciplines.

In recent years, the adoption of emerging technologies in education (ETE) has significantly grown. However, the effective integration of these technologies remains challenging as many educators have not been afforded the professional/career readiness to properly acknowledge and use them as educational tools. Although the STEM approach has gained prominence in science education, it still requires proper teacher readiness for successful implementation. In this study, with design-based research and mixed-method approaches, a ten-session program for prospective teachers was developed and evaluated to foster the necessary skills and knowledge to effectively integrate different technological resources in STEM education. The program aims to bridge the gap between technology and pedagogy, empowering educators to maximize the use of ETE to enrich learning experiences. The main conclusions emphasize the significance of technology-centric education for future educators, stressing the necessity for teacher training programs that align technological potential with practical classroom applications. Integrating emerging technologies supports contemporary pedagogical approaches like STEM education, promoting active student participation and problem-solving skills. To fully harness emerging technologies’ potential, educators need training and support. Developing comprehensive training pathways for these technologies is vital to narrow the gap between technology and effective educational integration.

Abstract Epidemics in general and dengue in particular surcharge the health services and the economy. However, the fighting actions are circumscribed to the health sector despite the known positive economic impacts that the investments in water supply and sanitation services (WSS) may cause on society and public health. Besides the fact that urban WSS infrastructure is closely linked to disease prevention, in Brazil, the user's perception and demand are very few and many institutional aspects, like the integration between local WSS, health, environment, and development of city councils, need to be improved and better aligned. In this way, disease control and vector density reduction remain challenges to be overcome. This article addresses the need for greater institutionalization of urban WSS relating them to health aspects from official data. It concludes that the negative impacts of lacking universal access to WSS on dengue and other mosquito diseases are dispersed in all cities, regions, and populations regardless of their degree of development. Furthermore, contrary to what is normally emphasized, the analysis carried out shows that the lack of urban stormwater management systems may be an important component of WSS in preventing the proliferation of dengue disease.

In a clinical context, physicians usually take into account information from more than one data modality when making decisions regarding cancer diagnosis and treatment planning. Artificial intelligence-based methods should mimic the clinical method and take into consideration different sources of data that allow a more comprehensive analysis of the patient and, as a consequence, a more accurate diagnosis. Lung cancer evaluation, in particular, can benefit from this approach since this pathology presents high mortality rates due to its late diagnosis. However, many related works make use of a single data source, namely imaging data. Therefore, this work aims to study the prediction of lung cancer when using more than one data modality. The National Lung Screening Trial dataset that contains data from different sources, specifically, computed tomography (CT) scans and clinical data, was used for the study, the development and comparison of single-modality and multimodality models, that may explore the predictive capability of these two types of data to their full potential. A ResNet18 network was trained to classify 3D CT nodule regions of interest (ROI), whereas a random forest algorithm was used to classify the clinical data, with the former achieving an area under the ROC curve (AUC) of 0.7897 and the latter 0.5241. Regarding the multimodality approaches, three strategies, based on intermediate and late fusion, were implemented to combine the information from the 3D CT nodule ROIs and the clinical data. From those, the best model—a fully connected layer that receives as input a combination of clinical data and deep imaging features, given by a ResNet18 inference model—presented an AUC of 0.8021. Lung cancer is a complex disease, characterized by a multitude of biological and physiological phenomena and influenced by multiple factors. It is thus imperative that the models are capable of responding to that need. The results obtained showed that the combination of different types may have the potential to produce more comprehensive analyses of the disease by the models.

A localização geográfica do concelho de Almada determina um conjunto de condições naturais, geológicas e biológicas que, através da ação humana, deram origem à formação de diferentes unidades de paisagem cultural que caracterizaram o território até finais do século XIX. Tanto os materiais, recolhidos localmente e utilizados na construção, como os edifícios que consideramos elementos patrimoniais, constituíam parte integrante da paisagem. Nesse sentido, cada unidade de paisagem reflete formas diferentes de construir, de habitar e de viver, associadas a contextos socioeconómicos e culturais diferenciados. Considera-se, portanto, que o património construído remete também para a memória de uma paisagem, entretanto transformada.

Gut microbiota with a stable, rich, and diverse composition is associated with adequate postnatal brain development. Colonization of the infant’s gut begins at birth when parturition exposes the newborn to a set of maternal bacteria, increasing richness and diversity until one to two first years of age when a microbiota composition is stable until old age. Conversely, alterations in gut microbiota by diet, stress, infection, and antibiotic exposure have been associated with several pathologies, including metabolic and neuropsychiatric diseases such as obesity, anxiety, depression, and drug addiction, among others. However, the consequences of early-life exposure to antibiotics (ELEA) on the dopamine (DA) mesocorticolimbic circuit are poorly studied. In this context, we administered oral non-absorbable broad-spectrum antibiotics to pregnant Sprague-Dawley dams during the perinatal period (from embryonic day 18 until postnatal day 7) and investigated their adult offspring (postnatal day 60) to assess methylphenidate-induced conditioned place preference (CPP) and locomotor activity, DA release, DA and 3,4-dihydroxyphenylacetic acid (DOPAC) content in ventral tegmental area (VTA), and expression of key proteins within the mesocorticolimbic system. Our results show that ELEA affect the rats conduct by increasing drug-seeking behavior and locomotor activity induced by methylphenidate of males and females, respectively, while reducing dopamine striatal release and VTA content of DOPAC in females. In addition, antibiotics increased protein levels of DA type 1 receptor in prefrontal cortex and VTA of female rats, and tyrosine hydroxylase in VTA of adult male and female rats. Altogether, these results suggest that ELEA alters the development of the microbiota-gut-brain axis affecting the reward system and the response to abuse drugs in adulthood.

Statistics have demonstrated that one of the main factors responsible for the high mortality rate related to lung cancer is the late diagnosis. Precision medicine practices have shown advances in the individualized treatment according to the genetic profile of each patient, providing better control on cancer response. Medical imaging offers valuable information with an extensive perspective of the cancer, opening opportunities to explore the imaging manifestations associated with the tumor genotype in a non-invasive way. This work aims to study the relevance of physiological features captured from Computed Tomography images, using three different 2D regions of interest to assess the Epidermal growth factor receptor (EGFR) mutation status: nodule, lung containing the main nodule, and both lungs. A Convolutional Autoencoder was developed for the reconstruction of the input image. Thereafter, the encoder block was used as a feature extractor, stacking a classifier on top to assess the EGFR mutation status. Results showed that extending the analysis beyond the local nodule allowed the capture of more relevant information, suggesting the presence of useful biomarkers using the lung with nodule region of interest, which allowed to obtain the best prediction ability. This comparative study represents an innovative approach for gene mutations status assessment, contributing to the discussion on the extent of pathological phenomena associated with cancer development, and its contribution to more accurate Artificial Intelligence-based solutions, and constituting, to the best of our knowledge, the first deep learning approach that explores a comprehensive analysis for the EGFR mutation status classification.

La organización curricular de diferentes países está en constante cambio, con el foco puesto, principalmente, en el desarrollo de diversas competencias en los futuros ciudadanos. La Organización para la Cooperación y el Desarrollo Económico ha entregado una serie de orientaciones respecto a formación en competencias, una de ellas es la financiera. En este sentido, el objetivo del estudio es analizar la literatura científica alojada en la base de datos Scopus relacionada con la Educación Financiera en Educación Primaria. Para ello, se realiza un estudio cuantitativo, de nivel descriptivo y tipo bibliométrico, que permite conocer la situación actual respecto de esta temática. El análisis se realiza mediante las propias métricas de Scopus y el uso del software Bibliometrix. Los resultados indican que, mediante las palabras clave utilizadas, se encontraron 130 artículos, siendo Estados Unidos y Europa los territorios geográficos de mayor producción, el año 2019 como el de notable cantidad de investigaciones, conjuntamente al área de las ciencias-matemática congregan 55,1% de éstas, en el lapsus de los 48 años investigados. En conclusión, el estudio proporciona evidencia sobre la poca productividad, dejando de manifiesto la irrisoria proliferación de esta línea de estudio, un área factible de mejorar y extrapolar a Educación Secundaria.

Este artigo aborda o papel do alojamento local (AL) na evolução do centro histórico de Lisboa em termos holísticos, relacionando as suas componentes distintivas referentes ao setor turístico com as dinâmicas por este produzidas na estrutura habitacional da cidade, nos seus serviços complementares, na reabilitação urbana e no tecido social. Recorrendo ao estado da arte sobre a temática, à análise das tendências do AL em várias cidades europeias e a uma investigação empírica com aplicação de entrevistas semiestruturadas a quatro grupos de stakeholders, procurou-se analisar as perceções que esses diferentes grupos têm sobre as dinâmicas de AL na freguesia de Santa Maria Maior, Lisboa. O principal objetivo consiste em apresentar contributos para um modelo de desenvolvimento do AL mais sustentável, que permita conciliar-se com a valorização do tecido social das comunidades residentes. Os resultados comprovam que as variações registadas em termos sociais e comerciais da freguesia ultrapassam a exploração deste alojamento turístico. Relativamente à melhoria do modelo de gestão atualmente vigente das áreas de contenção em Lisboa, os stakeholders elencam medidas que visam a criação de um equilíbrio sustentável entre o uso turístico e residencial da cidade de Lisboa.

Gold(III) bisdithiolate complexes have been reported as potential antimicrobial and antitumoral agents. The complex [Au(cdc)2]− (cdc=cyanodithioimido carbonate) displayed antimicrobial and outstanding antitumor activity against the ovarian cancer cells A2780 and A2780cisR, which are sensitive and resistant to cisplatin, respectively. However, poor water solubility may hamper its clinical use. Block copolymer micelles (BCMs) may solubilize hydrophobic drugs, improving their bioavailability and circulation time in blood. Aiming to provide water solubility, prolonged availability, and enhanced therapeutic indexes, BCMs loaded with [Au(cdc)2]− were synthesized and characterized. The BCM-[Au(cdc)2] micelles were prepared with a loading efficiency of 64.6% and a loading content of 35.3 mg [Au(cdc)2]−/gBCM. A hydrodynamic diameter of 77.31 ± 27.00 nm and a low polydispersity index of 0.18 indicated that the micelles were homogenous and good candidates for drug delivery. Cytotoxic activity studies against A2780/A2780cisR cells showed that BCM-[Au(cdc)2] maintained relevant cytotoxic activity comparable to the cytotoxicity observed for the same concentration of gold complexes. The Au uptake in A2780 cells, determined by PIXE, was ca. 17% higher for BCMs-[Au(cdc)2] compared to [Au(cdc)2]−. The BCMs-[Au(cdc)2] presented antimicrobial activity against S. aureus Newman and C. glabrata CBS138. These results evidenced the potential of BCM-[Au(cdc)2] for drug delivery and its promising anticancer and antimicrobial activities.

Bone marrow edema (BME) is the term given to the abnormal fluid signal seen within the bone marrow on magnetic resonance imaging (MRI). It usually indicates the presence of underlying pathology and is associated with a myriad of conditions/causes. However, it can be misleading, as in some cases, it may be associated with normal changes in the bone, especially during the growth period of childhood, and objective methods for assessment are lacking. In this work, learning models for BME detection were developed. Transfer learning was used to overcome the size limitations of the dataset, and two different regions of interest (ROI) were defined and compared to evaluate their impact on the performance of the model: bone segmention and intensity mask. The best model was obtained for the high intensity masking technique, which achieved a balanced accuracy of 0.792 ± 0.034. This study represents a comparison of different models and data regularization techniques for BME detection and showed promising results, even in the most difficult range of ages: children and adolescents. The application of machine learning methods will help to decrease the dependence on the clinicians, providing an initial stratification of the patients based on the probability of edema presence and supporting their decisions on the diagnosis.

Innovar en la etapa escolar, especialmente en Educación Primaria (EP), resulta fundamental para promover un cambio formativo a temprana edad. Es en este momento donde fomentar la enseñanza en áreas de ciencia, tecnología, ingeniería y matemática, resulta preponderante para motivar a los estudiantes en el aprendizaje escolar. Considerando el paradigma actual de educación STEM, se presenta una experiencia en un aula de EP con estudiantes de 10 a 12 años, donde se incluyen elementos de la robótica, la programación (Scratch) y el pensamiento computacional con el objetivo de articular el aprendizaje de disciplinas STEM. Se desarrolla una serie de actividades en un ambiente de indagación permanente, en las que un grupo voluntario de estudiantes asisten a 15 sesiones de talleres en horario extraescolar.

El objetivo de este trabajo es analizar las actividades relacionadas con educación financiera en libros de textos de Educación Primaria utilizados en colegios concertados y públicos de la Comunidad Autónoma de Andalucía, considerando la definición de la OCDE para la competencia financiera. A través de un proceso metodológico cualitativo, basado en el análisis de contenido, se estudió una serie completa de libros de texto para la asignatura de matemática. Los resultados muestran la existencia de 252 actividades que concuerdan con el modelo de Educación Financiera propuesto, destacando las categorías del valor del dinero (145 actividades) y estado y ciudadanos (133) con mayor presencia y, por tanto, mayor desarrollo de estas mismas de esta forma consideramos que una buena cultura en educación financiera a menor escolaridad facilitara las diversas decisiones económicas que enfrentarán los estudiantes en situaciones de incertidumbre económica.

Resumo A Arqueologia do Colonialismo no Brasil tem sido concebida na última década na tentativa de descolonizar o seu campo de pesquisa. Passou a perceber e a construir histórias de persistência, valorizando múltiplas perspectivas e ontologias. Este estudo faz uma comparação entre três conjuntos cerâmicos e interpreta a relação peculiar entre Tupiniquim e portugueses como aliados e parceiros no processo colonial de São Paulo. As mulheres tupiniquim se apropriaram e transformaram o “outro português” e sua tecnologia em uma das materialidades coloniais - a cerâmica paulista. Tal fato não significou perda cultural, mas sim persistência de práticas por cinco séculos.

This paper presents the application of a Methodology to Obtain Genetic fuzzy rule-based systems Under the iterative rule Learning approach (MOGUL) to forecast energy consumption. Historical data referring to the energy consumption gathered from three groups, namely lights, HVAC and electrical socket, are used to train the proposed approach and achieve forecasting results for the future. The performance of the proposed method is compared to that of previous approaches, namely Hybrid Neural Fuzzy Interface System (HyFIS) and Wang and Mendel’s Fuzzy Rule Learning Method (WM). Results show that the proposed methodology achieved smaller forecasting errors for the following hours, with a smaller standard deviation. Thus, the proposed approach is able to achieve more reliable results than the other state of the art methodologies

The use of deep learning methods in medical imaging has been able to deliver promising results; however, the success of such models highly relies on large, properly annotated datasets. The annotation of medical images is a laborious, expensive, and time-consuming process. This difficulty is increased for the mutations status label since these require additional exams (usually biopsies) to be obtained. On the other hand, raw images, without annotations, are extensively collected as part of the clinical routine. This work investigated methods that could mitigate the labelled data scarcity problem by using both labelled and unlabelled data to improve the efficiency of predictive models. A semi-supervised learning (SSL) approach was developed to predict epidermal growth factor receptor (EGFR) mutation status in lung cancer in a less invasive manner using 3D CT scans.The proposed approach consists of combining a variational autoencoder (VAE) and exploiting the power of adversarial training, intending that the features extracted from unlabelled data to discriminate images can help in the classification task. To incorporate labelled and unlabelled images, adversarial training was used, extending a traditional variational autoencoder. With the developed method, a mean AUC of 0.701 was achieved with the best-performing model, with only 14% of the training data being labelled. This SSL approach improved the discrimination ability by nearly 7 percentage points over a fully supervised model developed with the same amount of labelled data, confirming the advantage of using such methods when few annotated examples are available.

Several gastrin-releasing peptide receptor (GRPR) antagonists with improved in vivo behavior have been recently developed and tested in the clinic. However, despite the generally mild side effects of peptide receptor radionuclide therapy (PRRT), toxicity has been observed due to high doses delivered to nontarget tissues, especially in the kidneys and pancreas. Previous experiences with radiolabeled peptides opened a unique opportunity to explore GRPR pretargeting using clickable bombesin antagonists. Toward this goal, we used clickable DOTA-like radiocomplexes which have been previously evaluated by our group. We functionalized a potent GRPR antagonist with a clickable TCO moiety using two different linkers. These precursors were then studied to select the compound with the highest GRPR binding affinity and the best pharmacokinetics to finally explore the advantages of the devised pretargeting approach. Our results provided an important proof of concept toward the development of bioorthogonal approaches to GRPR-expressing cancers, which are worth investigating further to improve the in vivo results. Moreover, the use of clickable GRPR antagonists and DOTA/DOTAGA derivatives allows for fine-tuning of their pharmacokinetics and metabolic stability, leading to a versatile synthesis of new libraries of (radio)conjugates useful for the development of theranostic tools toward GRPR-expressing tumors.

The COVID-19 pandemic had an enormous impact on the tourism sector. Economies with a large weight of external tourism were especially affected, as was the case with the Azores region. This paper aims to analyse the level of this crisis and the resilience of tourism recreation companies specializing in canyoning in the Azores region, and whether these reactions led to more sustainable business models. The adopted methodology considered the analysis of recent statistical data on tourism and the available information on COVID-19 pandemic-related impacts. In parallel, questionnaires were applied to all tourism recreation companies in Portugal, and semi-structured interviews were conducted with all the canyoning providers in the Azores region. Results show that all companies survived the crisis, and some have made significant changes to their business models. Furthermore, some degree of success was observed in how services adapted to new demand characteristics, given the small size of most of these businesses and the specialization of their products.

Carbapenem-resistant Enterobacterales (CRE) is a critical public health problem in South America, where the prevalence of NDM metallo-betalactamases has increased substantially in recent years. In this study, we used whole genome sequencing to characterize a multidrug-resistant (MDR) Klebsiella pneumoniae (UCO-361 strain) clinical isolate from a teaching hospital in Chile. Using long-read (Nanopore) and short-read (Illumina) sequence data, we identified a novel un-typeable megaplasmid (314,976 kb, pNDM-1_UCO-361) carrying the blaNDM-1 carbapenem resistance gene within a Tn3000 transposon. Strikingly, conjugal transfer of pNDM-1_UCO-361 plasmid only occurs at low temperatures with a high frequency of 4.3 × 10−6 transconjugants/receptors at 27 °C. UCO-361 belonged to the ST1588 clone, previously identified in Latin America, and harbored aminoglycoside, extended-spectrum β-lactamases (ESBLs), carbapenem, and quinolone-resistance determinants. These findings suggest that blaNDM-1-bearing megaplasmids can be adapted to carriage by some K. pneumoniae lineages, whereas its conjugation at low temperatures could contribute to rapid dissemination at the human–environmental interface.

The excitatory amino acid transporter EAAT3 plays an important role in the neuronal uptake of glutamate regulating the activation of glutamate receptors. Polymorphisms in the gene-encoding EAAT3 have been associated with obsessive–compulsive disorder (OCD), although the mechanisms underlying this relationship are still unknown. We recently reported that mice with increased EAAT3 expression in forebrain neurons (EAAT3glo/CMKII) display behavioral and synaptic features relevant to OCD, including increased grooming, higher anxiety-like behavior and altered cortico-striatal synaptic function. The dopamine neurotransmitter system is implicated in ritualistic behaviors. Indeed, dopaminergic neurons express EAAT3, and mice lacking EAAT3 exhibit decreased dopamine release and decreased expression of the dopamine D1 receptor. Moreover, EAAT3 plays a role on the effect of the psychostimulant amphetamine. As such, we sought to determine if the OCD-like behavior in EAAT3glo/CMKII mice is accompanied by altered nigro-striatal dopaminergic transmission. The aim of this study was to analyze dopamine transmission both in basal conditions and after an acute challenge of amphetamine, using behavioral, neurochemical, molecular, and cellular approaches. We found that in basal conditions, EAAT3glo/CMKII mice performed more grooming events and that they remained in phase 1 of the grooming chain syntax compared with control littermates. Administration of amphetamine increased the number of grooming events in control mice, while EAAT3glo/CMKII mice remain unaffected. Interestingly, the grooming syntax of amphetamine-control mice resembled that of EAAT3glo/CMKII mice in basal conditions. Using in vivo microdialysis, we found decreased basal dopamine levels in EAAT3glo/CMKII compared with control mice. Unexpectedly, we found that after acute amphetamine, EAAT3glo/CMKII mice had a higher release of dopamine compared with that of control mice, suggesting that EAAT3 overexpression leads to increased dopamine releasability. To determine postsynaptic effect of EAAT3 overexpression over dopamine transmission, we performed Western blot analysis of dopaminergic proteins and found that EAAT3glo/CMKII mice have higher expression of D2 receptors, suggesting a higher inhibition of the indirect striatal pathway. Together, the data indicate that EAAT3 overexpression impacts on dopamine transmission, making dopamine neurons more sensitive to the effect of amphetamine and leading to a disbalance between the direct and indirect striatal pathways that favors the performance of repetitive behaviors.

Pre-targeting approaches based on the inverse-electron-demand Diels-Alder (iEDDA) reaction between strained trans-cyclooctenes (TCO) and electron-deficient tetrazines (Tz) have emerged in recent years as valid alternatives to classic targeted strategies to improve the diagnostic and therapeutic properties of radioactive probes. To explore these pre-targeting strategies based on in vivo click chemistry, a small family of clickable chelators was synthesized and radiolabelled with medically relevant trivalent radiometals. The structure of the clickable chelators was diversified to modulate the pharmacokinetics of the resulting [111In]In-radiocomplexes, as assessed upon injection in healthy mice. The derivative DOTA-Tz was chosen to pursue the studies upon radiolabelling with 90Y, yielding a radiocomplex with high specific activity, high radiochemical yields and suitable in vitro stability. The [90Y]Y-DOTA-Tz complex was evaluated in a prostate cancer PC3 xenograft by ex-vivo biodistribution studies and Cerenkov luminescence imaging (CLI). The results highlighted a quick elimination through the renal system and no relevant accumulation in non-target organs or non-specific tumor uptake. Furthermore, a clickable bombesin antagonist was injected in PC3 tumor-bearing mice followed by the radiocomplex [90Y]Y-DOTA-Tz, and the mice imaged by CLI at different post-injection times (p.i.). Analysis of the images 15 min and 1 h p.i. pointed out an encouraging quick tumor uptake with a fast washout, providing a preliminary proof of concept of the usefulness of the designed clickable complexes for pre-targeting strategies. To the best of our knowledge, the use of peptide antagonists for this purpose was not explored before. Further investigations are needed to optimize the pre-targeting approach based on this type of biomolecules and evaluate its eventual advantages.

Este artigo é resultado de pesquisa que teve como objetivo geral compreender as contribuições do Programa de Residência Pedagógica na formação dos professores da Educação Básica. A abordagem metodológica foi qualitativa, tipo estudo de caso, com a realização de análise documental, aplicação de questionário e entrevistas semiestruturadas com licenciandos dos cursos de Letras/Português, Pedagogia e Ciências Biológicas da Universidade Estadual do Ceará, e, neste texto, são apresentados, somente, os dados expressos nas entrevistas. As discussões da investigação voltaram-se para formação docente, identidade docente e profissão docente. Os resultados indicaram que o Programa apresenta, para os licenciandos, uma maior permanência e aprendizagem no ambiente da escola e integração entre universidade e escola, contribuindo para o processo de formação docente e fortalecimento da articulação entre teoria e prática. Aponta-se uma certa ingenuidade nos posicionamentos dos estudantes, que atribuem uma visão aplicacionista e redentora ao Programa, exigindo uma maior crítica e reflexividade.

Com o objetivo de criar uma metodologia especifica para classificação de hidrossítios, propõe-se que, na avaliação dos locais interesse hidrológico (LIH), o valor patrimonial seja definido pelos critérios ecológico, estético, sociocultural e complementar, seus respectivos indicadores e classes. Para facilitar o mecanismo da avaliação, criou-se a Ficha de Levantamento Hidrológico, validada em dois LIH do rio Selho no Concelho de Guimarães, Distrito de Braga, Portugal. Como resultado, a proposta para a classificação de hidrossítios demonstra coerência teórico-metodológica com a condição hídrica verificada em campo, o que valida os critérios, indicadores, classes com os respectivos índices percentuais. Após a ponderação dos valores atribuídos às classes, a metodologia demonstra que os LIH do rio Selho não têm valoração suficiente para ser considerados hidrossítios, por apresentarem alguns problemas ambientais; mas, embora não tenham atrativos monumentais, merecem medidas de proteção e o reconhecimento de seu valor hídrico.

Abstract Background The impairment of the hepatic enzyme phenylalanine hydroxylase (PAH) causes elevation of phenylalanine levels in blood and other body fluids resulting in the most common inborn error of amino acid metabolism (phenylketonuria). Persistently high levels of phenylalanine lead to irreversible damage to the nervous system. Therefore, early diagnosis of the affected individuals is important, as it can prevent clinical manifestations of the disease. Methods In this report, the biochemical and genetic findings performed in 223 patients diagnosed through the Portuguese Neonatal Screening Program (PNSP) are presented. Results Overall, the results show that a high overlap exists between different types of variants and phenylalanine levels. Molecular analyses reveal a wide mutational spectrum in our population with a total of 56 previously reported variants, most of them found in compound heterozygosity (74% of the patients). Intragenic polymorphic markers were used to assess the haplotypic structure of mutated chromosomes for the most frequent variants found in homozygosity in our population (p.Ile65Thr, p.Arg158Gln, p.Leu249Phe, p.Arg261Gln, p.Val388Met, and c.1066‐11G>A). Conclusion Our data reveal high heterogeneity at the biochemical and molecular levels and are expected to provide a better understanding of the molecular basis of this disease and to provide clues to elucidate genotype–phenotype correlations.

O polo aquático é um desporto que solicita ambos os sistemas energéticos, razão pela qual o seu desenvolvimento e avaliação são fundamentais. Jogadores com melhor desempenho em testes de aptidão aeróbia conseguirão melhor resistir à fadiga específica do jogo, enquanto níveis elevados de velocidade serão decisivos para se propulsionarem e realizarem de forma veloz os movimentos acíclicos típicos do polo aquático. Este estudo tem como objetivo apresentar e relacionar os testes multietapa e de sprint usados para aferir a potência aeróbia e a velocidade máxima de nado de jogadores de polo aquático. Foram avaliados 66 jogadores masculinos Sub14 (14.0±0.5 anos de idade) da Associação de Natação do Norte de Portugal. Os jogadores realizaram: (i) o teste multietapa, nadando percursos de 10 m na técnica de crol, iniciando a 0.90 m.s-1 e aumentando 0.05 m.s-1, registando-se a distância final e (ii) o teste de sprint, na distância de 10 m, sendo considerado o melhor tempo após três tentativas (cf. Richichi et al., 2000). Foi testada a normalidade dos dados através do teste Shapiro-Wilk e, pelo facto da distribuição não ter sido normal, calculou-se a mediana, o intervalo interquartil (IIQ) e os valores mínimos e máximos de cada variável. Seguidamente, o grau de relação entre as variáveis foi obtido através do coeficiente de correlação de Spearman (r) para um p ≤ 0.05 (SPSS). No teste multietapa registou-se a mediana de 60 m de distância percorrida (IIQ: 63 m) e de 30 (nível 1) a 230 m (nível 4) de valores mínimos e máximos. No teste de velocidade de nado registou-se a mediana de 7.43 s (IIQ: 1.41 s) e de 5.41 a 12.02 s de valores mínimos e máximos. Observou-se uma relação inversa forte entre as variáveis em análise (r = - 0.80; p < 0.001). Os valores de aptidão aeróbia e velocidade demonstraram uma heterogeneidade significativa, a qual pode justificar-se pela curta experiência dos jogadores, sobretudo em situação de avaliação. As diferenças maturacionais próprias deste escalão etário poderão também ajudar a explicar a dispersão observada. O coeficiente de correlação observado entre prestações motoras encontra-se próximo de -1, evidenciando que quanto melhor a prestação aeróbia, menor será o tempo no teste de sprint, pelo que os jogadores com melhor performance aeróbia são também os mais velozes em distâncias curtas. Está descrito na literatura que jogadores de polo aquático com melhor desempenho aeróbio conseguem melhor resistir à fadiga, apresentando um rendimento desportivo superior quer do ponto de vista da condição física quer das habilidades técnicas (Botonis et al., 2015). Uma melhoria na capacidade de sprint será também decisiva para as fases de início e aceleração no início de cada período de jogo, assim como para cada jogador se conseguir deslocar de forma adequada, por exemplo, num contra-ataque.

Se presenta una investigación que busca determinar el impacto que tiene el uso de realidad virtual inmersiva (RVI) —asociada al desarrollo de actividades manipulativas y experienciales basadas en el enfoque STEM— en las actitudes científico-matemáticas de estudiantes de primero y segundo de ESO de un centro que se encuentra en un contexto en riesgo de exclusión social. Por medio de un procedimiento metodológico mixto cuantitativo- cualitativo, se han aplicado una serie de instrumentos a una muestra de 17 estudiantes y 1 docente. Los resultados indican la existencia de variaciones significativas, junto con un tamaño del efecto (TE) medio, en las actitudes hacia el aprendizaje de las ciencias (p = 0,000; TE = 0,535), no así en el ámbito de las matemáticas (p = 0,887; TE = 0,070). Asimismo, existen mejoras significativas en la autopercepción del aprendizaje de los contenidos STEM abordados en la propuesta (p = 0,000; TE = 0,944), valoración positiva del proyecto, tanto por parte de los estudiantes (9,9 sobre 10) como del profesor de las asignaturas de ciencias y matemáticas del centro (entrevista semiestructurada). Se concluye que la inclusión de este tipo de tecnologías impacta positivamente en las actitudes científico-matemáticas del estudiantado participante.