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Internet of Things (IoT) devices are ubiquitous in various applications, such as smart homes, asset and people tracking, and city management systems. However, their deployment in adverse conditions, including unstable internet connectivity and power sources, present new cybersecurity challenges through new attack vectors. The LoRaWAN protocol, with its open and distributed network architecture, has gained prominence as a leading LPWAN solution, presenting novel security challenges. This paper proposes the implementation of machine learning algorithms, specifically the K-Nearest Neighbours (KNN) algorithm, within an Intrusion Detection System (IDS) for LoRaWAN networks. Through behavioural analysis based on previously observed packet patterns, the system can detect potential intrusions that may disrupt critical tracking services. Initial simulated packet classification attained over 90% accuracy. By integrating the Suricata IDS and extending it through a custom toolset, sophisticated rule sets are incorporated to generate confidence metrics to classify packets as either presenting an abnormal or normal behaviour. The current work uses third-party multi-vendor sensor data obtained in the city of Lisbon for training and validating the models. The results show the efficacy of the proposed technique in evaluating received packets, logging relevant parameters in the database, and accurately identifying intrusions or expected device behaviours. We considered two use cases for evaluating our work: one with a more traditional approach where the devices and network are static, and another where we assume that both the devices and the network are mobile; for example, when we need to report data back from sensors on a rail infrastructure to a mobile LoRaWAN gateway onboard a train.

The coastal zone is a fascinating place that comprises the interface between sea and land. This interface, which is both very dynamic and sensitive, has been affected by strong urban and industrial pressures, and an increase in both traffic and recreational uses, leading to the deterioration of natural habitats and the growing instability of residential areas. Added to this disruption is ongoing climate change, which will lead to rising sea levels and increased wave action. Another problem we are increasingly concerned about is ocean pollution, which has been one of the main causes of threats to deep-water coral reef areas. The main sources of pollution include oil spills and offshore oil drilling. The effects of pollution caused by oil spills can not only seriously affect the global environmental balance of our planet but can also, on a different scale, seriously affect the economy of countries whose main resources depend heavily on the sea. Wave energy has the potential to alleviate the world's dependence on depleting fossil energy resources. With regard to coastal protection, the development of ecological solutions to preserve ecosystems and address coastal processes as an alternative to traditional coastal protection structures (seawalls, groins and breakwaters) is becoming increasingly important. These structures, generally referred to as passive measures, are usually built to alter the effects of sea waves, currents and the movement of sand along the coastline, with the aim of protecting beaches, ports and harbors. The concerns outlined are critically addressed throughout this review article. All of them are highly relevant today and, as demonstrated throughout this article, are expected to grow even more and with much more pronounced consequences starting from the middle of the current century.

Cooperative intelligent transport systems (C-ITS) continue to be developed to enhance transportation safety and sustainability. However, the communication of vehicle-to-everything (V2X) systems is inherently open, leading to vulnerabilities that attackers can exploit. This represents a threat to all road users, as security failures can lead to privacy violations or even fatalities. Moreover, a high fatality rate is correlated with soft-mobility road users. Therefore, when developing C-ITS systems, it is important to broaden the focus beyond connected vehicles to include soft-mobility users and legacy vehicles. This work presents a new approach developed in the context of emerging hybrid networks, combining intelligent transport systems operating in 5.9 GHz (ITS-G5) and radio-mobile cellular technologies. Two protocols were implemented and evaluated to introduce security guarantees (such as privacy and integrity) in communications within the developed C-ITS hybrid environment. As a result, this work securely integrates G5-connected ITS stations and soft-mobility users through a smartphone application via cellular networks. Commercial equipment was used for this goal, including on-board and roadside units. Computational, transmission and end-to-end latency were used to assess the system’s performance. Implemented protocols introduce an additional 11% end-to-end latency in hybrid communications. Moreover, workflows employing hybrid communications impose, on average, an extra 28.29 ms of end-to-end latency. The proposal shows promise, as it reaches end-to-end times below the latency requirements imposed in most C-ITS use cases.

Numerical models are useful tools for studying complex wave–wave and wave–current interactions in coastal areas. They are also very useful for assessing the potential risks of flooding, hydrodynamic actions on coastal protection structures, bathymetric changes along the coast, and scour phenomena on structures’ foundations. In the coastal zone, there are shallow-water conditions where several nonlinear processes occur. These processes change the flow patterns and interact with the moving bottom. Only fully nonlinear models with the addition of dispersive terms have the potential to reproduce all phenomena with sufficient accuracy. The Boussinesq and Serre models have such characteristics. However, both standard versions of these models are weakly dispersive, being restricted to shallow-water conditions. The need to extend them to deeper waters has given rise to several works that, essentially, add more or fewer terms of dispersive origin. This approach is followed here, giving rise to a set of extended Serre equations up to kh ≈ π. Based on the wavemaker theory, it is also shown that for kh > π/10, the input boundary condition obtained for shallow-waters within the Airy wave theory for 2D waves is not valid. A better estimate for the input wave that satisfies a desired value of kh can be obtained considering a geometrical modification of the conventional shape of the classic piston wavemaker by a limited depth θh, with θ≤ 1.0.

Introdução: apresenta o contexto da comunicação científica e os movimentos de acesso aberto à informação focando na criação e no desenvolvimento das formas de publicação: acesso aberto ou acesso restrito. Contextualiza os sistemas de publicação científica e a disponibilidade e o acesso aos artigos científicos produzidos com recursos públicos. Visa responder qual é a forma de publicação acadêmica adotada pelos docentes dos programas de pós-graduação stricto sensu do Setor de Ciências Sociais Aplicadas da Universidade Federal do Paraná para a comunicação dos resultados de pesquisa. Objetivo: apresenta como objetivo geral identificar por meio da plataforma Lattes e enquanto docente do quadro permanente dos programas de pós-graduação stricto sensu da Universidade Federal do Paraná qual é a forma de publicação adotada para a comunicação dos resultados de pesquisa. Metodologia: o método utilizado para identificação do tipo de sistema de publicação é a aplicação de um algoritmo de coleta e classificação de artigos científicos. Resultados: os resultados indicam que 54% dos docentes do setor publicam seus artigos em acesso aberto.

This paper presents IRONEDGE, an architectural framework that can be used in different edge Stream Processing solutions for “Smart Infrastructure” scenarios, on a case-by-case basis. The architectural framework identifies the common components that any such solution should implement and a generic processing pipeline. In particular, the framework is considered in the context of a study case regarding Internet of Things (IoT) devices to be attached to rolling stock in a railway. A lack of computation and storage resources available in edge devices and infrequent network connectivity are not often seen in the existing literature, but were considered in this paper. Two distinct implementations of IRONEDGE were considered and tested. One, identified as Apache Kafka with Kafka Connect (K0-WC), uses Kafka Connect to pass messages from MQ Telemetry Transport (MQTT) to Apache Kafka. The second scenario, identified as Apache Kafka with No Kafka Connect (K1-NC), allows Apache Storm to consume messages directly. When the data rate increased, K0-WC showed low throughput resulting from high losses, whereas K1-NC displayed an increase in throughput, but did not match the input rate for the Data Reports. The results showed that the framework can be used for defining new solutions for edge Stream Processing scenarios and identified a reference implementation for the considered study case. In future work, the authors propose to extend the evaluation of the architectural variation of K1-NC.

Abstract Background: The creation of a computerized clinical database with the ability to collect prospective information from patients and with the possibility of rescue and crossing data enables scientific studies of higher quality and credibility in less time. Aim: To validate, in a single master protocol, the clinical data referring to Surgery of Digestive System in a multidisciplinary way, incorporating in the SINPE© platform, and to verify the incidence of digestive diseases based on the prospectively performed collections. Method: Organize in one software, in a standardized structure, all the pre-existing items in the SINPE© database; the theoretical basis was computerized through the MIGRASINPE© module creating a single multiprofessional master protocol for use as a whole. Results: The existing specific protocols were created and/or adapted - they correspond to the most prevalent digestive diseases - unifying them. The possibility of multiprofessional use was created by integrating all data collected from medicine, nursing, physiotherapy, nutrition and health management in a prospective way. The total was 4,281 collections, distributed as follows: extrahepatic biliary tract, n=1,786; esophagus, n=1015; anorectal, n=736; colon, n=550; small intestine, n=86; pancreas, n=71; stomach, n=23; liver, n=14. Conclusions: The validation of the unification and structuring in a single master protocol of the clinical data referring to the Surgery of the Digestive System in a multiprofessional and prospective way was possible and the epidemiological study carried out allowed to identify the most prevalent digestive diseases.

O Objetivo é propor um Dicionário Termos de Emoção em Textos Financeiros, composto de palavras que detectam a presença ou não das emoções - Alegria, Medo, Raiva, Repugnância, Surpresa e Tristeza – em textos financeiros. Partiu-se do Dicionário de Sentimentos Positivos e Negativos em Finanças, disponível na língua inglesa, o qual foi traduzido para o português. Na sequência, especialistas em Finanças e Psicologia alocaram os termos oriundos da tradução para seis emoções básicas estudadas. Por fim, o software Tropes foi ajustado para incorporar as expressões do dicionário, possibilitando a detecção de emoção em textos financeiros de forma eletrônica. O presente estudo constrói um Dicionário de Termos de Emoção em Textos Financeiros, composto por 301 expressões de Alegria; 155 de Medo; 136 de Raiva; 109 de Repugnância; 70 de Surpresa; e 233 de Tristeza, o qual pode ser utilizado para detectar e quantificar as emoções presentes nos relatórios financeiros.

O artigo aborda os principais elementos estratégicos a serem considerados na gestão da informação, com o objetivo de investigar as relações entre os elementos estratégicos da gestão da informação através de características bibliométricas para elaborar um quadro conceitual baseado nas publicações de 2017 e 2018. Para tal, foi realizada uma pesquisa exploratória por meio de uma revisão bibliográfica da literatura, que consistiu em quatro etapas: (1) busca nas bases internacionais Science Direct e Web of Science, (2) seleção por meio de leitura prévia e posteriormente aprofundada dos artigos, resultando em 24 artigos, (3) mapeamento das relações existentes e (4) construção de um quadro conceitual que englobou os construtos referentes aos elementos estratégicos da gestão da informação e temas relacionados a estes. Como resultado, a literatura acerca dos elementos das estratégias da gestão da informação apresenta conceitos correlatos às áreas de inovação, tecnologia da informação e desempenho organizacional. A construção de um quadro conceitual possibilitou a visualização dos construtos como independentes, intervenientes e dependentes, assim como as suas relações, apresentando um panorama geral dos estudos sobre os temas.

We analysed whether the credibility of the Central Bank of Brazil (CBB) influences the substitution effect between the interest channel and the inflation expectations channel. Specifically, based on a DSGE model, we investigate the effects of central bank credibility on key domestic macroeconomic variables. The results show that higher central bank credibility reduces the harmful effect of fighting inflation on domestic macroeconomic variables. [ABSTRACT FROM AUTHOR]

The coastal zone is a fascinating place that comprises the interface between sea and land. This interface, which is both very dynamic and sensitive, has been affected by strong urban and industrial pressures, and an increase in both traffic and recreational uses, leading to the deterioration of natural habitats and the growing instability of residential areas. Added to this disruption is ongoing climate change, which will lead to rising sea levels and increased wave action. Another problem we are increasingly concerned about is ocean pollution, which has been one of the main causes of threats to deep-water coral reef areas. The main sources of pollution include oil spills and offshore oil drilling. The effects of pollution caused by oil spills can not only seriously affect the global environmental balance of our planet but can also, on a different scale, seriously affect the economy of countries whose main resources depend heavily on the sea. Wave energy has the potential to alleviate the world's dependence on depleting fossil energy resources. With regard to coastal protection, the development of ecological solutions to preserve ecosystems and address coastal processes as an alternative to traditional coastal protection structures (seawalls, groins and breakwaters) is becoming increasingly important. These structures, generally referred to as passive measures, are usually built to alter the effects of sea waves, currents and the movement of sand along the coastline, with the aim of protecting beaches, ports and harbors. The concerns outlined are critically addressed throughout this review article. All of them are highly relevant today and, as demonstrated throughout this article, are expected to grow even more and with much more pronounced consequences starting from the middle of the current century. [ABSTRACT FROM AUTHOR]

Inserted in the use of ICT - Information and Communication Technology - for relationship marketing practices, this paper aims to present a proposal for use of centrality measures as a technique to analyze the interaction between brands and consumers on online social networks. The theoretical framework addresses the characterization of online social networks, relationship marketing practices aligned to the use of online social networks and centrality measures appropriate for its analysis. Descriptive-exploratory methodological feature, this study adopted as observation object the fan pages of Facebook online social network. The recording of data was by running scripts created for this purpose. For evidence of analysis used a spreadsheet and an online application to the cloud generation words. As a result, presents information dissemination graphs contemplating the degree of metrics, proximity and intermediation. Concludes that the adoption of measures of centrality for the analysis of online social networks can be indicated as support for relationship marketing practices.