SocialDTN: A DTN implementation for Digital and Social Inclusion

Despite of the importance of access to computers and to the Internet for the development of people and their inclusion in society, there are people that still suffer with digital divide and social exclusion. Delay/Disruption-Tolerant Networking (DTN) can help the digital/social inclusion of these people as it allows opportunistic and asynchronous communication, which does not depend upon networking infrastructure. We introduce SocialDTN, an implementation of the DTN architecture for Android devices that operates over Bluetooth, taking advantages of the social daily routines of users. As we want to exploit the social proximity and interactions existing among users, SocialDTN includes a social-aware opportunistic routing proposal, dLife, instead of the well-known (but social-oblivious) PROPHET. Simulations show the potential of dLife for our needs. Additionally, some preliminary results from field experimentations are presented.Comment: 3 pages, 4 figure

Customer purchase behavior prediction in E-commerce: a conceptual framework and research agenda

Digital retailers are experiencing an increasing number of transactions coming from their consumers online, a consequence of the convenience in buying goods via E-commerce platforms. Such interactions compose complex behavioral patterns which can be analyzed through predictive analytics to enable businesses to understand consumer needs. In this abundance of big data and possible tools to analyze them, a systematic review of the literature is missing. Therefore, this paper presents a systematic literature review of recent research dealing with customer purchase prediction in the E-commerce context. The main contributions are a novel analytical framework and a research agenda in the field. The framework reveals three main tasks in this review, namely, the prediction of customer intents, buying sessions, and purchase decisions. Those are followed by their employed predictive methodologies and are analyzed from three perspectives. Finally, the research agenda provides major existing issues for further research in the field of purchase behavior prediction online

Towards design principles for user-centric explainable AI in fraud detection

Experts rely on fraud detection and decision support systems to analyze fraud cases, a growing problem in digital retailing and banking. With the advent of Artificial Intelligence (AI) for decision support, those experts face the black-box problem and lack trust in AI predictions for fraud. Such an issue has been tackled by employing Explainable AI (XAI) to provide experts with explained AI predictions through various explanation methods. However, fraud detection studies supported by XAI lack a user-centric perspective and discussion on how principles are deployed, both important requirements for experts to choose an appropriate explanation method. On the other hand, recent research in Information Systems (IS) and Human-Computer Interaction highlights the need for understanding user requirements to develop tailored design principles for decision support systems. In this research, we adopt a design science research methodology and IS theoretical lens to develop and evaluate design principles, which align fraud expert's tasks with explanation methods for Explainable AI decision support. We evaluate the utility of these principles using an information quality framework to interview experts in banking fraud, plus a simulation. The results show that the principles are an useful tool for designing decision support systems for fraud detection with embedded user-centric Explainable AI

Explainable sentiment analysis application for social media crisis management in retail

Sentiment Analysis techniques enable the automatic extraction of sentiment in social media data, including popular platforms as Twitter. For retailers and marketing analysts, such methods can support the understanding of customers' attitudes towards brands, especially to handle crises that cause behavioural changes in customers, including the COVID-19 pandemic. However, with the increasing adoption of black-box machine learning-based techniques, transparency becomes a need for those stakeholders to understand why a given sentiment is predicted, which is rarely explored for retailers facing social media crises. This study develops an Explainable Sentiment Analysis (XSA) application for Twitter data, and proposes research propositions focused on evaluating such application in a hypothetical crisis management scenario. Particularly, we evaluate, through discussions and a simulated user experiment, the XSA support for understanding customer's needs, as well as if marketing analysts would trust such an application for their decision-making processes. Results illustrate the XSA application can be effective in providing the most important words addressing customers sentiment out of individual tweets, as well as the potential to foster analysts' confidence in such support

Estudo da anatomia descritiva e topográfica do músculo digástrico em primatas (Cebus apella, Linnaeus, 1766)

Neste estudo utilizamos 18 (dezoito) cabeças de macacos prego (Cebus apella) cedidos pelo Departamento de Cirurgia da Faculdade de Medicina Veterinária e Zootecnia da Universidade de São Paulo, e provenientes do Zoológico da cidade de São Paulo, vindos a óbito naturalmente. O método incluiu técnica de mesoscopia de luz, sendo a rotina técnica: canulação da aorta no sentido cranial; perfusão com água morna (40°C); injeção do sistema arterial com solução de látex (Neoprene 450) corado (sulvinil corante), fixação e conservação em solução aquosa de formol a 10%. Foram dissecados trinta e seis antímeros. O músculo digástrico, composto por dois ventres (rostral e caudal) unidos por um tendão intermediário, inseriu-se na linha paramediana da mandíbula, indo da borda ventral incisiva à borda ventral molar (ventre rostral). O modo de origem, trajeto e a direção das fibras apresentou três arranjos: um com ventres planos e tendão fusiforme (55,5%); um com ventre plano, fibras ancoradas caudolateralmente na borda ventral mandibular e tendão fusiforme (38,9%); e um ventre fusiforme com tendão fusiforme. O ventre caudal relacionou-se com o ventre e o tendão do músculo estilo-hióideo: cruzando-o ventralmente (22,2%) ou dorsalmente (2,7%); cruzando o tendão intermediário: ventralmente (35,9%) ou dorsalmente (33,2%). O músculo digástrico (ventre rostral) é plano no Cebus apella (94,4%) tem ampla inserção óssea na borda ventral mandibular e o tendão intermediário apoia-se na fáscia cervical em expansão lateral até atingir o osso compondo um duplo ponto de apoio (38,9%).In this study we used 18 heads of monkey Cebus apella supplied by the Surgery Department of the School of Veterinary Medicine and Animal Science of the University of São Paulo. These heads were originally from the city of São Paulo Zoo of monkeys, who died naturally. The method included technique of light mesoscopy (40 magnifications), and the technical routine as follows: cannulation of the aorta toward the cranium; perfusion with water at 40 ºC; injection of the arterial system with stained latex solution (Neoprene 450 and Sulvinil stain), fixation and conservation in 10% formol aqueous solution. Thirty-six antimeres were dissected. The digastric muscle, composed of two bellies (rostral and caudal) joined by an intermediate tendon, was inserted in the paramedian line of the mandible, from the incisive ventral border to the molar ventral border (rostral belly). The mode of origin, course and direction of the fibers showed three arrangements: one with plane bellies and fusiform tendon (55.5%); one with plane belly, fibers inserted caudolaterally in the ventral mandibular border and fusiform tendon (38.9%); and one with fusiform belly and tendon. The caudal belly was related to the belly and tendon of the stylo-hyoid muscle, crossing it ventrally (22.2%) or dorsally (2.7%); crossing the intermediate tendon ventrally (35.9%) or dorsally (33.2%). The digastric muscle (rostral belly) is plane in Cebus apella (94.4%), has a wide bone insertion, in the ventral mandibular border and the intermediate tendon rests on the cervical fascia, in lateral expansion until it reaches the bone, thus making up a double supporting point (38.9%)

A multibiomarker approach in the caged neotropical fish to assess the environment health in a river of central Brazilian Cerrado

Embargo until 19 August 2022.Water safety is a world-wide concern and several efforts have been made in order to ensure the conservation of aquatic ecosystems. Water quality monitoring must be performed with an integrated approach using biomonitor organisms allied to water parameters. Nonetheless, very few studies have focused on biomarker responses in neotropical fish, especially in the freshwater ecosystem of Brazilian Cerrado savanna. In present study, the active biomonitoring of the João Leite river (central Brazilian Cerrado river) was performed through the evaluation of biomarker responses in caged Astyanax lacustris in combination with land use classification and analysis of water parameters. Caged fish were exposed for seven days at four sites along the river and two control groups were kept in a tank under controlled conditions. Results showed that pasture was the predominant land use in the João Leite river basin (54.07%), followed by natural vegetation (34.92%) and other kind of land use (11.01%). Water analyses showed metal concentrations (Mn and Fe) above the maximum allowed by Brazilian regulation, with particularly higher concentrations at Site 2 (near to pasture area). Biomarker responses did not show significant differences for somatic and mutagenic biomarkers between sites. However, the comet assay showed high DNA damage at Sites 2 and 3, indicating genotoxic effects in caged fish at pasture areas. Histopathological analysis showed highest frequency of leukocyte infiltration in liver of fish from Site 2, confirming the ecotoxic effects on A. lacustris in streams impacted by grazing activities. DNA damage and leukocyte infiltration in fish hepatic tissues were sensitive biomarkers in the neotropical fish A. lacustris to assess the environment health of the Cerrado river. These results showed the importance of using a multibiomarker approach in environmental risk assessment, especially in areas more at risk from anthropogenic pollution.acceptedVersio

A pre-processing architecture for feeling in social media in Brazilian Portuguese

The Web 2.0 and the evolution of Information Technologies have brought novel interaction and relationship channels. In this context, the Online Social Networks (OSN) are an example as platforms which allow interactions and sharing of information between people. In this scenario, it is possible to observe the adoption of OSN as a channel for posting opinions regarding products and experience. This scene presents an excellent opportunity for companies that aim to improve products, services and marketing strategies, given OSNs are powerful sources of massive unstructured data generated by consumers (UGC), with opinions and reviews concerning offers, in platforms such as Facebook, Twitter and Instagram. Brazil is a highlight in this scenario, where this phenomenon can be observed, as the Brazilian population is one of the most active in social media platforms in the world. This makes it a country full of opportunities to market exploitation. In this context, computational techniques of Opinion Mining and Sentiment Analysis (SA) are applied aiming to infer the polarity (positive, negative, neutral) regarding a sentiment associated to texts, and can also be applied in data from OSN to evaluate the feedback from a target audience. Although the existing diversity of SA strategies reported in the literature, there are still challenges faced in the application of SA in text data from OSN, given the characteristics of the language adopted in such platforms. The state of art is focused on SA towards the English language, and the existing proposals for Brazilian Portuguese do not have a standardized methodology for preprocessing steps. In this context, this research investigates an approach with no translation, and proposes a novel preprocessing architecture for SA towards Brazilian Portuguese, aiming to provide enriched features to SA algorithms. The proposal was compared with well-established baselines from the literature, and the obtained results indicate that this architecture can overcome the state of art recall in at least 3% , for 6 out of 7 datasets evaluated.CAPES - Coordenação de Aperfeiçoamento de Pessoal de Nível SuperiorA Web 2.0 e a evolução nas Tecnologias da Informação e Comunicação, têm impulsionado novos meios de interação e relacionamento. Neste contexto, as Redes Sociais Online (RSO) são um exemplo, como plataformas que permitem a interação e o compartilhamento de informações entre pessoas. Além disso, é possível observar que RSO passaram a ser adotadas como canal de desabafo de consumidores, por meio de opiniões sobre produtos e experiências. Este cenário apresenta uma ótima oportunidade para que empresas possam melhorar produtos, serviços e estratégias de mercado, já que as RSO são poderosas fontes massivas de dados não-estruturados gerados pelo consumidor (do inglês, User- Generated Content - UGC), com opiniões e avaliações sobre ofertas em plataformas tais como Facebook, Twitter e Instagram. O Brasil é um grande exemplo onde esse fenômeno pode ser observado e apresenta potencial oportunidade de exploração de mercado, dado que a população brasileira é uma das nações que mais utiliza RSO no mundo. Neste âmbito, técnicas computacionais de Mineração de Opinião (MO) ou Análise de Sentimento (AS) são aplicadas com o intuito de inferir a polaridade dominante (positivo, negativo, neutro) quanto ao sentimento associado a textos, e, podem ser aplicadas em dados de RSO a fim de avaliar o feedback do público-alvo. Apesar das diversas estratégias de AS reportadas na literatura, ainda há vários desafios enfrentados na aplicação de AS em textos oriundos de RSO, devido às características da linguagem utilizada em tais plataformas. O estado da arte de AS é voltado para a língua inglesa e as propostas existentes para Português Brasileiro (PT_Br) não apresentam uma metodologia padronizada nas tarefas de pré-processamento. Neste âmbito, esta pesquisa investiga uma metodologia sem tradução e propõe uma nova arquitetura expandida de pré-processamento de AS voltada para o PT_Br, a fim de prover atributos enriquecidos para os algoritmos de AS. A proposta foi comparada com modelos bem estabelecidos na literatura, e resultados obtidos indicam que esta pode superar o estado da arte em até 3% de revocação, para 6 de 7 bases de dados avaliadas

Enhancing brick-and-mortar store shopping experience with an augmented reality shopping assistant application using personalized recommendations and explainable artificial intelligence

Purpose– The transition to omnichannel retail is the recognized future of retail, which uses digital technologies (e.g. augmented reality shopping assistants) to enhance the customer shopping experience. However, retailers struggle with the implementation of such technologies in brick-and-mortar stores. Against this background,thepresentstudyinvestigatestheimpactofasmartphone-basedaugmentedrealityshopping assistant application, which uses personalizedrecommendationsandexplainableartificialintelligencefeatures on customer shopping experiences. Design/methodology/approach– The authors follow a design science research approach to develop a shopping assistant application artifact, evaluated by means of an online experiment (n 5 252), providing both qualitative and quantitative data. Findings– Results indicate a positive impact of the augmented reality shopping assistant application on customers’ perception of brick-and-mortar shopping experiences. Based on the empirical insights this study also identifies possible improvements of the artifact. Research limitations/implications– This study’s assessment is limited to an online evaluation approach. Therefore, future studies should test actual usage of the technology in brick-and-mortar stores. Contrary to the suggestions of established theories (i.e. technology acceptance model, uses and gratification theory), this study shows that an increase of shopping experience does not always convert into an increase in the intention to purchase or to visit a brick-and-mortar store. Additionally, this study provides novel design principles and ideas for crafting augmented reality shopping assistant applications that can be used by future researchers to create advanced versions of such applications

Factors Associated with Marital Satisfaction and Quality of Life in Family Caregivers of Patients with Mental Disorders

(1) Background: The aim of this research was to analyze factors associated with quality of life (QoL) and marital satisfaction in married family caregivers of patients with mental disorders. (2) Methods: A cross-sectional study was conducted in all community mental health services in Goiania municipality, Brazil, in 2016–2017. Married family caregivers of patients with severe and persistent mental disorders were recruited and their QoL and marital satisfaction was assessed by using the World Health Organization Quality of Life Instrument Abbreviated version (WHOQOL-BREF) and Marital Satisfaction Scale. Multiple linear regressions were performed to identify factors associated with QoL and marital satisfaction. (3) Results: For 163 family caregivers, the psychological and environmental QoL domains presented the best and the worst scores, respectively. Factors independently associated with better QoL for caregivers were male caregiver, the younger age of a caregiver, >8 years of schooling, ≥5 years as a caregiver who performed physical activities, caregiver without chronic disease, and no patient’s crisis in the last 30 days. Factors independently associated with marital satisfaction of the caregiver were male caregiver, caregiver with >8 years of schooling, caregiver who received support by relatives to care for the patient, caregiver who performed physical activities, no patient’s crisis in the last 30 days, and patient hospitalization in the last six months; (4) Conclusions: The main predictor for marital satisfaction was support by relatives, and for QoL it was no patient’s crisis in the last 30 days