Building the Brazilian Academic Genealogy Tree

Along the history, many researchers provided remarkable contributions to science, not only advancing knowledge but also in terms of mentoring new scientists. Currently, identifying and studying the formation of researchers over the years is a challenging task as current repositories of theses and dissertations are cataloged in a decentralized way through many local digital libraries. Following our previous work in which we created and analyzed a large collection of genealogy trees extracted from NDLTD, in this paper we focus our attention on building such trees for the Brazilian research community. For this, we use data from the Lattes Platform, an internationally renowned initiative from CNPq, the Brazilian National Council for Scientific and Technological Development, for managing information about individual researchers and research groups in Brazil

On the Globalization of the {QAnon} Conspiracy Theory Through {Telegram}

QAnon is a far-right conspiracy theory that became popular and mainstreamover the past few years. Worryingly, the QAnon conspiracy theory hasimplications in the real world, with supporters of the theory participating inreal-world violent acts like the US capitol attack in 2021. At the same time,the QAnon theory started evolving into a global phenomenon by attractingfollowers across the globe and, in particular, in Europe. Therefore, it isimperative to understand how the QAnon theory became a worldwide phenomenon andhow this dissemination has been happening in the online space. This paperperforms a large-scale data analysis of QAnon through Telegram by collecting4.5M messages posted in 161 QAnon groups/channels. Using Google's PerspectiveAPI, we analyze the toxicity of QAnon content across languages and over time.Also, using a BERT-based topic modeling approach, we analyze the QAnondiscourse across multiple languages. Among other things, we find that theGerman language is prevalent in QAnon groups/channels on Telegram, evenovershadowing English after 2020. Also, we find that content posted in Germanand Portuguese tends to be more toxic compared to English. Our topic modelingindicates that QAnon supporters discuss various topics of interest withinfar-right movements, including world politics, conspiracy theories, COVID-19,and the anti-vaccination movement. Taken all together, we perform the firstmultilingual study on QAnon through Telegram and paint a nuanced overview ofthe globalization of the QAnon theory.<br

What Do Fact Checkers Fact-check When?

Recent research suggests that not all fact checking efforts are equal: when and what is fact checked plays a pivotal role in effectively correcting misconceptions. In this paper, we propose a framework to study fact checking efforts using Google Trends, a signal that captures search interest over topics on the world's largest search engine. Our framework consists of extracting claims from fact checking efforts, linking such claims with knowledge graph entities, and estimating the online attention they receive. We use this framework to study a dataset of 879 COVID-19-related fact checks done in 2020 by 81 international organizations. Our findings suggest that there is often a disconnect between online attention and fact checking efforts. For example, in around 40% of countries where 10 or more claims were fact checked, half or more than half of the top 10 most popular claims were not fact checked. Our analysis also shows that claims are first fact checked after receiving, on average, 35% of the total online attention they would eventually receive in 2020. Yet, there is a big variation among claims: some were fact checked before receiving a surge of misinformation-induced online attention, others are fact checked much later. Overall, our work suggests that the incorporation of online attention signals may help organizations better assess and prioritize their fact checking efforts. Also, in the context of international collaboration, where claims are fact checked multiple times across different countries, online attention could help organizations keep track of which claims are "migrating" between different countries

Temporal Cross-Media Retrieval with Soft-Smoothing

Multimedia information have strong temporal correlations that shape the way modalities co-occur over time. In this paper we study the dynamic nature of multimedia and social-media information, where the temporal dimension emerges as a strong source of evidence for learning the temporal correlations across visual and textual modalities. So far, cross-media retrieval models, explored the correlations between different modalities (e.g. text and image) to learn a common subspace, in which semantically similar instances lie in the same neighbourhood. Building on such knowledge, we propose a novel temporal cross-media neural architecture, that departs from standard cross-media methods, by explicitly accounting for the temporal dimension through temporal subspace learning. The model is softly-constrained with temporal and inter-modality constraints that guide the new subspace learning task by favouring temporal correlations between semantically similar and temporally close instances. Experiments on three distinct datasets show that accounting for time turns out to be important for cross-media retrieval. Namely, the proposed method outperforms a set of baselines on the task of temporal cross-media retrieval, demonstrating its effectiveness for performing temporal subspace learning.Comment: To appear in ACM MM 201

Integration of omics analyses into GMO risk assessment in Europe: a case study from soybean field trials

In Europe, genetically modified organisms (GMOs) are subject to an authorization process including a mandatory risk assessment. According to the respective guidance by the European Food Safety Authority (EFSA), one of the pillars of this GMO risk assessment is a comparative analysis of the compositional and agronomic characteristics. This targeted approach has been criticized for its limitations, as it only considers pre-determined compounds, being insufficient to assess a comprehensive range of relevant compounds, including toxins and anti-nutrients, on a case-specific basis. Strategies based on advanced untargeted omics technologies have been proposed as a potential broader approach to be implemented into the initial step of the risk assessment framework. Here, we provide an example of a step-by-step omics analysis based on systems biology approach to fit into the context of European GMO regulation. We have performed field trial experiments with genetically modified (GM) Intacta™ Roundup Ready™ 2 Pro soybean containing both cry1Ac and cp4epsps transgenic inserts and analyzed its proteomic profile against the non-GM counterpart and reference varieties. Based on EFSA’s comparative endpoint-by-endpoint approach, the proteomics analysis revealed six proteins from the GMO outside the 99% tolerance intervals of reference varieties (RVs) in the equivalence test. Interestingly, from the near-isogenic (non-GM) comparator we found as many as ten proteins to be outside of the said RVs’ equivalence limits. According to EFSA’s statistical guidelines, differences found in metabolite abundance between a GMO and its non-GM comparator would not be considered biologically relevant as all compounds of concern remained within the equivalence limits of commercial RVs. By assessing the proteomic and metabolomic data through our proposed systems biology approach, we found 70 proteins, and the metabolite xylobiose as differentially expressed between the GMO and its non-GM comparator. Biological relevance of such results was revealed through a functional biological network analysis, where we found alterations in several metabolic pathways related to protein synthesis and protein processing. Moreover, the allergenicity analysis identified 43 proteins with allergenic potential being differentially expressed in the GM soybean variety. Our results demonstrate that implementation of advanced untargeted omics technologies in the risk assessment of GMOs will enable early and holistic assessment of possible adverse effects. The proposed approach can provide a better understanding of the specific unintended effects of the genetic modification on the plant’s metabolism, the involved biological networks, and their interactions, and allows to formulate and investigate dedicated risk hypotheses in the first place. We draw conclusions on a detailed comparison with the comparative assessment according to EFSA and provide scientific arguments and examples on how the current comparative approach is not fit for purpose.publishedVersio

Quantitative trait loci mapping for meat quality traits in swine chromosome 6.

The current study was carried out to perform QTL mapping on swine chromosome 6 (SSC6) associated to meat quality traits. The F2 population was produced by outbreed crossing using two native Brazilian breed Piau boars and 18 commercial sows. A total of 557 F2 animals were genotyped for 13 microsatellite markers. The traits evaluated on the F2 population were: pH measured 45 minutes and 24 hours post mortem (pH 45, pH24, respectively), drip loss (DL), cooking loss (CL), total loss (TL), intramuscular fat content (IMF), objective tenderness (OT), lightness (L), redness (A), yellowness (B), hue angle (h) and chrome (c). Data were analyzed by multiple regression developed for analysis of outbreed line crosses, using the QTL Express Software. Significant QTL were detected for pH45 and DL traits, and suggestive QTL for DL. QTL were not found for other traits. The pH45 and DL traits may be under the influence of one gene or a gene group located at about 76, 88 and 97cM. More markers should be included in the regions where F-value peaks and suggestive QTL for the DL trait were detected to ascertain whether they are real QTL. Realizou-se o mapeamento de QTL no cromossomo 6 suíno (SSC6), associado às características de qualidade da carne. Um total de 557 animais de uma população F2 foi obtido do cruzamento entre dois machos da raça nativa brasileira Piau e 18 fêmeas comerciais, cujos genótipos foram obtidos para 13 marcadores microssatélites. As características avaliadas na F2 foram pH, medido 45 minutos e 24 horas post-mortem (pH45 e pH24, respectivamente); perda por gotejamento (DL); perda por cozimento (CL); perda total (TL); gordura intramuscular (IMF); maciez objetiva (OT); luminosidade (L); índice de vermelho (A); índice de amarelo (B); tonalidade de cor (h); e índice de saturação (c). Utilizou-se o método de regressão por intervalo de mapeamento, por meio do programa QTL Express. Foram detectados QTLs significativos para pH45 e DL, sugestivos para DL, e não foram encontrados QTLs para as demais características. Constatou-se que grupos gênicos, localizados em torno de 76, 88 e 97cM, podem atuar no pH45 e no DL. Nas regiões dos picos da estatística F, onde se verificaram QTLs sugestivos para DL, devem ser incluídos mais marcadores, para confirmar a presença de QTLs

Efficacy of radiofrequency ablation in autonomous functioning thyroid nodules. A systematic review and meta-analysis

Whether thermal ablation is effective to treat toxic thyroid nodules (TTN) is still unknown. Aim of this review was to achieve more robust evidence on the efficacy of radiofrequency ablation (RFA) in treating TTN in terms of TSH normalization, thyroid scintiscan, and volume reduction rate (VRR). A comprehensive literature search of PubMed/Medline and Scopus was performed in November 2018 to retrieve published studies. Original papers reporting TTN treated by RFA and later followed-up were eligible. Excluded were: articles not within this field, articles with unclear data, overlapping series, case/series reports. Discordances were solved in a final collegial meeting. Information was collected concerning population features, treatment procedure, follow-up, cases with TSH normalization, cases with scintiscan normalization, VRR of nodules. Pooled prevalence of patients with TSH or scintiscan normalization, and pooled VRR over time were calculated. For statistical analysis, the random-effects model was used. Eight articles published between 2008 and 2018 were included. The overall number of AFTN treated by RFA was 205. Five studies used a single session of treatment. The time of follow-up ranged from six to 24 months. The pooled rate of patients with TSH normalization was 57%. The pooled rate of patients with scintigraphically proven optimal response was 60%. The pooled VRR at 1 year was 79%. Baseline nodules volume was associated with the rate of TSH normalization. In conclusion, a moderate efficacy of RFA in treating TTN was found, and this can represent a solid starting point in this field

Analyzing the dynamic evolution of hashtags on Twitter: a language-based approach

Hashtags are used in Twitter to classify messages, propagate ideas and also to promote specific topics and people. In this paper, we present a linguistic-inspired study of how these tags are created, used and disseminated by the members of information networks. We study the propagation of hashtags in Twitter grounded on models for the analysis of the spread of linguistic innovations in speech communities, that is, in groups of people whose members linguistically influence each other. Differently from traditional linguistic studies, though, we consider the evolution of terms in a live and rapidly evolving stream of content, which can be analyzed in its entirety. In our experimental results, using a large collection crawled from Twitter, we were able to identify some interesting aspects - similar to those found in studies of (offline) speech - that led us to believe that hashtags may effectively serve as models for characterizing the propagation of linguistic forms, including: (1) the existence of a "preferential attachment process", that makes the few most common terms ever more popular, and (2) the relationship between the length of a tag and its frequency of use. The understanding of formation patterns of successful hashtags in Twitter can be useful to increase the effectiveness of real-time streaming search algorithms.FGW – Publications without University Leiden contrac