Life satisfaction in adolescents:the role of individual and social health assets

The aim of this study is to explore the relationship between adolescents’ life satisfaction and individual and social health assets. A nationally representative sample of 3,494 Portuguese adolescents (mean age = 14.94 ± 1.30 years; 53.6% girls) completed the Health Behavior in School-aged Children survey measuring a variety of health behaviors and beliefs. A sequential regression analysis was conducted with gender, individual assets (academic achievement, social competence, self-regulation and life objectives) and social assets (family support, peer support, parental monitoring and school connectedness) entered in separate steps. A second regression analysis was conducted with social assets entered before individual assets. The final model explained 18.3% of life satisfaction. School connectedness (β = .198, p < .001) and family support (β = .154, p < .001) were the strongest predictors of adolescents’ life satisfaction followed by social competence (β = .152, p < .001), academic achievement (β = .116, p < .001) and self-regulation (β = .064, p < .001). Social assets explained a larger variance of life satisfaction than individual assets when entered first in the regression (r2 = .134 and r2 = .119, respectively, p < .001). When entered last step in the regression analysis, social assets added more to life satisfaction’s variance than when individual assets were added in the last step (r2 = .060 and r2 = .045, respectively, p < .001). These results reinforce the role social interaction and social capital models in the promotion of well-being

Intergenerationality in a Digital World: Proposals of Activities:Bilingual (EN and PT)

A educação para os media tem ganho um grande fôlego nos últimos anos, porém ainda precisa de passos de gigante, muito em especial ao nível da forma como é tratada e enraizada junto dos cidadãos. Este e-book surge com essa preocupação. As fichas de atividades tão diversificadas, todas elas com uma componente digital, embora não esquecendo em alguns casos a ligação a outros dispositivos não digitais e formas de estar na vida no dia a dia. Estas 20 propostas do e-book Intergeracionalidade e o mundo digital: Propostas de atividades/Intergenerationality in a Digital World: Proposals of activities tentam dar forma a uma necessidade que encontramos de fazer com que as pessoas, além das crianças e dos jovens em espaço escolar e no contexto mais formal, questionem, pensem e ajam sobre as interpelações do mundo mediático e da informação.Media Education has gained momentum in recent years, but this area still needs to be improved, especially in terms of how it is perceived and implemented among citizens. This e-book is the result of this concern. The activities are diverse and include a digital component, without forgetting the connection to other non-digital devices in daily life. These 20 proposals of the e-book Intergeracionalidade e o mundo digital: Propostas de atividades/Intergenerationality in a Digital World: Proposals of activities intend to respond to the need that people, besides children in education, question, think and act on the interpellations of a mediatised world full of information available.info:eu-repo/semantics/publishedVersio

Modelling environmental monitoring data coming from different surveys

Environmental monitoring networks are providing large amounts of spatio-temporal data. Air pollution data, as other environmental data, exhibit a spatial and a temporal correlated nature. To improve the accuracy of predictions at unmonitored locations, there is a growing need for models capturing those spatio-temporal correlations. With this work, we propose a spatio-temporal model for gaussian data collected in a few number of surveys. We assume the spatial correlation structure to be the same in all surveys. In an application of this model to real data, concerning heavy metal concentrations in mosses collected from three surveys occurring between 1992 and 2002 in mainland Portugal, the data set is dense in the spatial dimension but sparse in the temporal one, thus our model-based approach corresponds to a saturated correlation model in the time dimension. A novel interpretation for the space-time covariance function is introduced. A simulation study, aiming to validate the model, provided better results in terms of accuracy with the novel covariance function. Prediction maps of the observed variable for the most recent survey, and of the inter- polation error as a measure of accuracy, are presented.The authors thank the Centre of Environmental Biology of Lisbon University for permission to use the moss data. The authors acknowledge financial support from the Portuguese Funds through FCT (Fundacao para a Ciencia e a Tecnologia), within the Project UID/MAT/00013/2013.info:eu-repo/semantics/publishedVersio

The bad and the ugly: a systematic review of technology’s negative impacts’ mentions in literature from 2005 to 2020

[EN] In an era of ubiquitous presence of several formats of technology throughout all areas ofhuman interaction, it seems pertinent to assess the complete spectrum of possible impactssuch technologies may have: not just the good, but the bad and the ugly too. Scientificresearch has been substantial on its efforts to map technology’s benefits from which humansmay profit on a myriad of activities. This is particularly evident in recent fields of study, suchas gamification applications to marketing, education or business. However, it could beargued that in-depth analysis of potential nefarious impacts of technology use is currentlylacking. In this paper, we perform a systematic review of contributions from top scientificpublications over the last fifteen years in search of their concerns over the implementationand usage of technology, to gather proof that this is a promising study field, which deservesfurther study. Due to the limited literature and empirical evidence on the topic, this studycontributes to better understand of nefarious impacts and limitations of technology.Silva, I.; Rodrigues, L.; Sampayo, M. (2020). The bad and the ugly: a systematic review of technology’s negative impacts’ mentions in literature from 2005 to 2020. En 6th International Conference on Higher Education Advances (HEAd'20). Editorial Universitat Politècnica de València. (30-05-2020):819-829. https://doi.org/10.4995/HEAd20.2020.11152OCS81982930-05-202

A joint model of time to breast cancer recurrence and CA15-3

The main purpose of the present analysis is to jointly analyse longitudinal data of the tumour marker Carcinoma Antigen 15-3 (CA15-3), and the probability of recurrence of patients with breast cancer, by incorporating a spatial effect in order to infer how patients' residence location affects the progression of the disease. A data set of 540 patients was collected from medical records of Braga's Hospital, in Portugal. A joint model of the two stochastic processes was used, as it is expected an association between longitudinal progression of the tumour marker and time -to -recurrence. Results suggest that the longitudinal progression of CA 15-3 is significantly associated with the probability of breast cancer TeCUMN1Ce for these patients. Factors such as images of vascular invasion affect the longitudinal process. While factors such as triple negative tumour, primary tumour size and Regional Lymph nodes involvement degree affect the probability of recurrence. The spatial effect is significant on both longitudinal and time -to -recurrence process.- Ana Borges thanks the Fundacao para a Ciencia e Tecnologia (FCT), Portugal, for the Ph.D. Grant SFRH/BD/74166/2010, and the support by the Center for Research and Innovation in Business Sciences and Information Systems(CIICESI), ESTG - P.Porto

Speech- and Language-Based Classification of Alzheimer’s Disease: A Systematic Review

Background: Alzheimer’s disease (AD) has paramount importance due to its rising prevalence, the impact on the patient and society, and the related healthcare costs. However, current diagnostic techniques are not designed for frequent mass screening, delaying therapeutic intervention and worsening prognoses. To be able to detect AD at an early stage, ideally at a pre-clinical stage, speech analysis emerges as a simple low-cost non-invasive procedure. Objectives: In this work it is our objective to do a systematic review about speech-based detection and classification of Alzheimer’s Disease with the purpose of identifying the most effective algorithms and best practices. Methods: A systematic literature search was performed from Jan 2015 up to May 2020 using ScienceDirect, PubMed and DBLP. Articles were screened by title, abstract and full text as needed. A manual complementary search among the references of the included papers was also performed. Inclusion criteria and search strategies were defined a priori. Results: We were able: to identify the main resources that can support the development of decision support systems for AD, to list speech features that are correlated with the linguistic and acoustic footprint of the disease, to recognize the data models that can provide robust results and to observe the performance indicators that were reported. Discussion: A computational system with the adequate elements combination, based on the identified best-practices, can point to a whole new diagnostic approach, leading to better insights about AD symptoms and its disease patterns, creating conditions to promote a longer life span as well as an improvement in patient quality of life. The clinically relevant results that were identified can be used to establish a reference system and help to define research guidelines for future developments.This work was partially supported by FCT- UIDB/04730/2020 project.info:eu-repo/semantics/publishedVersio

The roadmap of RANKL/RANK pathway in cancer

© 2021 by the authors. Licensee MDPI, Basel, Switzerland. This article is an open access article distributed under the terms and conditions of the Creative Commons Attribution (CC BY) license (https://creativecommons.org/licenses/by/4.0/).The receptor activator of the nuclear factor-κB ligand (RANKL)/RANK signaling pathway was identified in the late 1990s and is the key mediator of bone remodeling. Targeting RANKL with the antibody denosumab is part of the standard of care for bone loss diseases, including bone metastases (BM). Over the last decade, evidence has implicated RANKL/RANK pathway in hormone and HER2-driven breast carcinogenesis and in the acquisition of molecular and phenotypic traits associated with breast cancer (BCa) aggressiveness and poor prognosis. This marked a new era in the research of the therapeutic use of RANKL inhibition in BCa. RANKL/RANK pathway is also an important immune mediator, with anti-RANKL therapy recently linked to improved response to immunotherapy in melanoma, non-small cell lung cancer (NSCLC), and renal cell carcinoma (RCC). This review summarizes and discusses the pre-clinical and clinical evidence of the relevance of the RANKL/RANK pathway in cancer biology and therapeutics, focusing on bone metastatic disease, BCa onset and progression, and immune modulation.This work was supported by the research project PTDC/MED-ONC/28636/2017 from Fundação para a Ciência e a Tecnologia (FCT)/Ministério da Ciência, Tecnologia e Ensino Superior (MCTES) through Fundos do Orçamento de Estado. IG is supported by the FCT PhD grant SFRH/BD/139178/2018.info:eu-repo/semantics/publishedVersio

Identifying tourist places of interest based on digital imprints: towards a sustainable smart city

As cities become increasingly complex, Information and Communication Technologies (ICTs) bring smartness into organisations and communities, contributing to a more competitive tourism destination, i.e., smart tourism destinations. Enhanced information access coupled with a new kind of tourists avid for online content and predisposed to share information on social media, allows for a better understanding of tourist behaviour regarding their spatial distribution in urban destinations. Thus, smart tourism portrays individuals as information makers, refining the available alternatives for tracking their location. Big data analytics is a technology with the potential to develop Smart City services. From the analysis of the spatial distribution of tourists in the city of Lisbon based on data collected from the ‘Panoramio’ social network, we identify the most popular places in the city in a context of tourist visits. This new data largely contributes to understanding the consumption of space within urban tourist destinations and therefore enables us to differentiate the overcrowded places from the ones with potential to grow. This allows decision-makers to imagine new ways of planning and managing towards a sustainable ‘smart’ future.info:eu-repo/semantics/publishedVersio

Goji berries superfood – contributions for the characterisation of proteome and IgE-binding proteins

Goji berries’ bioactive compounds, which allowed classifying them as superfruits, led to an enormous increase of its consumption in western countries. However, the potential risk of allergy is a concern. In this study, we aimed to characterise the proteome of goji berries (Lycium barbarum) and identify proteins with putative role in the allergic reaction (IgE-binding proteins). We firstly used twodimensional (2D) gel electrophoresis followed by mass spectrometry (MS) to characterise goji berries’ proteome, and then Immunoblot reactivity with plasma from tomato and potato (same botanical family, Solanaceae) allergic individuals was assessed to characterise goji berries IgE-binding proteins. An inhibition assay was further performed to evaluate cross-reactivity among potato, tomato and goji berries. We significantly identified 93 out of the 180 MS analysed spots, corresponding to 29 protein functions. From these, 11 could be identified as goji berries IgE-binding proteins. We further demonstratedcross-reactivity between goji berries, tomato and potato.This work was supported by research unit GREEN-IT “Bioresources for Sustainability” (UID/Multi/04551/2013). IML acknowledges FCT for funding her PhD fellowship (PD/BD/113982/2015) under MolBioS PhD-Program (PD/00133/2012), and IAA acknowledges the FCT Investigator funding (POPH-QREN - IF/00764/2014).info:eu-repo/semantics/publishedVersio