Previsão da tendência da bitcoin utilizando extração de sentimentos do Twitter

Bitcoin is the first decentralized digital currency constituting a successful alternative economic system. As a result, the Bitcoin financial market occupies an important position in society, where it has gained increasing popularity. The correct prediction of this type of market can drastically reduce losses and maximize investor profits. One of the most popular aspects of predicting the cryptocurrency market is the analysis of sentiment in posts shared publicly on social networks. Currently, the Twitter platform generates millions of posts a day, which has attracted several researchers in search of problem solving using sentimental analysis in tweets. With this evolution, it is intended to develop, through Artificial Intelligence (AI) techniques, models capable of predicting the Bitcoin trend based on daily sentimental analysis of posts made on the Twitter platform with Bitcoin’s historical data. Specifically, it is intended to assess whether sentiment positively influences the Bitcoin trend, and whether positive, neutral and negative feelings positively influence the Bitcoin trend in the same way. Finally, it is also objective to assess whether indicators such as market volume and the volume of tweets carried out within the scope of the Bitcoin theme positively influence its trend. To validate the potential of the study, two AI models were developed. The first model was created to classify the sentiments of tweets into three typologies: positive, neutral and negative. This model focused on AI techniques based on Long Short Term Memory (LSTM), Bidirectional Long Short Term Memory (BI-LSTM) and Convolutional Neural Network (CNN). In turn, the second model was designed to classify Bitcoin’s future trends into strong uptrend, uptrend, downtrend and strong downtrend. In this sense, the model focused on AI techniques based on LSTM and Random Forest Classifier. In general, it was possible to achieve good performance in the development of sentiment classification models, achieving an accuracy value of 87 % in the LSTM and BI-LSTM models and 86% in the model based on CNN technology. Regarding the model focused on predicting the Bitcoin trend, it was possible to validate that sentiment positively influences the Bitcoin trend prediction. More interestingly, neutral sentiment volume has a more significant impact on Bitcoin trend prediction. The Random Forest Classifier technique proved to be the best, recording accuracy of 57.35% in predicting the Bitcoin trend. Removing the sentiment variable made it possible to verify a cadence of 15% to 20% in the Bitcoin trend forecast, which effectively validates that sentiment positively influences the trend forecast.A Bitcoin é considerada a primeira moeda digital descentralizada constituindo um sistema económico alternativo de sucesso. Em resultado, o mercado financeiro da Bitcoin ocupa uma posição importante na sociedade, onde tem vindo a angariar cada vez mais popularidade. Prever acertadamente este tipo de mercado pode reduzir drasticamente as perdas e maximizar os lucros dos investidores. Um dos aspetos mais populares, quando se trata de prever o mercado de cryptomoedas, passa pela análise de sentimentos em posts partilhados publicamente em redes sociais. Atualmente, a plataforma do Twitter, gera milhões de posts todos os dias, o que tem atraído diversos investigadores na procura de resoluções de problemas com recurso à análise sentimental em tweets. Com esta evolução, pretende-se desenvolver através de técnicas de Inteligência Artificial (IA), modelos capazes de prever a trend da Bitcoin com base numa análise sentimental diária dos posts efetuados na plataforma do Twitter com os dados históricos da Bitcoin. Em específico, tenciona-se avaliar se o sentimento influencia positivamente a trend da Bitcoin, bem como avaliar se os sentimentos positivos, neutros e negativos, de forma isolada, influenciam da mesma forma positivamente a trend da Bitcoin. Por fim, é ainda objetivo, avaliar se indicadores como o volume de mercado e o volume de tweets realizado no âmbito do tema da Bitcoin influenciam positivamente a trend da mesma. De forma a validar o potencial do estudo, foram desenvolvidos dois modelos de IA. O primeiro modelo foi criado para efetuar a classificação de sentimentos dos tweets em três tipologias: positivos, neutros e negativos. Este modelo, focou-se em técnicas de IA basedas em LSTM, BI-LSTM e CNN. Por sua vez, o segundo modelo foi elaborado para classificar as trends futuras da Bitcoin em quatro tipologias: strong uptrend, uptrend, downtrend e strong downtrend. Neste sentido, o modelo focou-se em técnicas de IA baseadas em LSTM e Random Forest Classifier. Em geral, foi possível atingir uma boa performance no desenvolvimento dos modelos de classificação de sentimento, atingindo um valor de accuracy de 87% nos modelos LSTM e BI-LSTM, e 86% no modelo baseado na técnica de CNN. Em relação ao modelo focado em prever a trend da Bitcoin, foi possível validar que o sentimento realmente influencia positivamente a previsão da trend da Bitcoin. Mais curiosamente, verificou-se que o volume de sentimento neutro tem um impacto mais significativo na previsão da trend da Bitcoin. A técnica Random Forest Classifier demonstrou ser a melhor, registando uma accuracy de 57,35% na previsão da trend da Bitcoin. Ao remover a variável sentimento foi possível verificar uma cadência de 15% a 20% na previsão da trend da Bitcoin, o que valida efetivamente que o sentimento influencia positivamente a previsão da trend

Educomunicação e suas áreas de intervenção: Novos paradigmas para o diálogo intercultural

oai:omp.abpeducom.org.br:publicationFormat/1O material aqui divulgado representa, em essência, a contribuição do VII Encontro Brasileiro de Educomunicação ao V Global MIL Week, da UNESCO, ocorrido na ECA/USP, entre 3 e 5 de novembro de 2016. Estamos diante de um conjunto de 104 papers executivos, com uma média de entre 7 e 10 páginas, cada um. Com este rico e abundante material, chegamos ao sétimo e-book publicado pela ABPEducom, em seus seis primeiros anos de existência. A especificidade desta obra é a de trazer as “Áreas de Intervenção” do campo da Educomunicação, colocando-as a serviço de uma meta essencial ao agir educomunicativo: o diálogo intercultural, trabalhado na linha do tema geral do evento internacional: Media and Information Literacy: New Paradigms for Intercultural Dialogue

Catálogo Taxonômico da Fauna do Brasil: setting the baseline knowledge on the animal diversity in Brazil

The limited temporal completeness and taxonomic accuracy of species lists, made available in a traditional manner in scientific publications, has always represented a problem. These lists are invariably limited to a few taxonomic groups and do not represent up-to-date knowledge of all species and classifications. In this context, the Brazilian megadiverse fauna is no exception, and the Catálogo Taxonômico da Fauna do Brasil (CTFB) (http://fauna.jbrj.gov.br/), made public in 2015, represents a database on biodiversity anchored on a list of valid and expertly recognized scientific names of animals in Brazil. The CTFB is updated in near real time by a team of more than 800 specialists. By January 1, 2024, the CTFB compiled 133,691 nominal species, with 125,138 that were considered valid. Most of the valid species were arthropods (82.3%, with more than 102,000 species) and chordates (7.69%, with over 11,000 species). These taxa were followed by a cluster composed of Mollusca (3,567 species), Platyhelminthes (2,292 species), Annelida (1,833 species), and Nematoda (1,447 species). All remaining groups had less than 1,000 species reported in Brazil, with Cnidaria (831 species), Porifera (628 species), Rotifera (606 species), and Bryozoa (520 species) representing those with more than 500 species. Analysis of the CTFB database can facilitate and direct efforts towards the discovery of new species in Brazil, but it is also fundamental in providing the best available list of valid nominal species to users, including those in science, health, conservation efforts, and any initiative involving animals. The importance of the CTFB is evidenced by the elevated number of citations in the scientific literature in diverse areas of biology, law, anthropology, education, forensic science, and veterinary science, among others

Chemical and Fatty acid composition of different cuts cooked or uncooked from yearling bulls fed oil sources

This study evaluated the chemical and lipid composition of uncooked or cooked loin (Longissimus thoracis) and rump (Biceps femoris) in samples of 2.54 cm thick from 35 carcasses of Nellore young bulls finished in feedlot for 96 days and slaughtered at an average weight of 532.17 ± 30.25 kg and 24 months of age. The rump had the lowest level of protein and ash (18.57 and 0.90%, respectively) and the highest level of ether extract compared to loin (3.37 and 1.90%, respectively). Higher levels of cholesterol were found in rump compared to loin (40.91 e 30.93 mg 100 g-1, respectively). The uncooked loin showed lower content of saturated fatty acids and higher content of polyunsaturated fatty acids. The best values for the omega-6: omega-3 ratio was observed in the uncooked beef. In the present study, the loin was healthier due to the higher amount of polyunsaturated fatty acids compared to rump. Cooking the meat decreases the levels of polyunsaturated fatty acids, omega-3, omega-6 and the omega-6: omega-3 ratio.Objetivou-se avaliar as diferenças na composição química e lipídica do contrafilé (Longissimus thoracis) e da picanha (Biceps femoris) in natura ou assados de bovinos alimentados com diferentes fontes de óleo. Para isto, foram utilizadas amostras, seccionadas em bifes de 2,54 cm, do contrafilé e da picanha, provenientes de 35 carcaças de tourinhos da raça Nelore, confinados por 96 dias e abatidos com peso médio de 532,17 ± 30,25 kg e 24 meses de idade. A picanha apresentou os valores mais baixos de proteína e cinzas (18,57 e 0,90%, respectivamente). No entanto, os maiores teores de extrato etéreo também foram encontrados para este corte comparado ao contrafilé (3,37 e 1,90%, respectivamente). Maiores teores de colesterol foram encontrados na picanha em relação ao contrafilé (40,91 e 30,93 mg 100 g-1, respectivamente). O contrafilé in natura apresentou menores teores de ácidos graxos saturados e maiores quantidades de ácidos graxos poli-insaturados. Para as relações dos ácidos graxos ômega-6: ômega-3, os melhores valores foram encontrados na carne in natura. O contrafilé, no presente estudo, mostrou-se mais saudável pela maior quantidade de ácidos graxos poli-insaturados que a picanha. Assar a carne diminui os teores de ácidos graxos poli-insaturados, ômega-3 e ômega-6, além da relação ômega-6: ômega-3

Chemical and fatty acids composition of rump cap from young bulls fed protected or unprotected oils

Strategies to improve the nutritional aspects of beef, mainly the fatty acids composition, have become an important goal to the scientific community. The use of different oils sources could be an interesting device due its polyunsaturated fatty acids composition. The chemical and fatty acid composition of rump cap (Biceps femoris) from 35 Nellore young bulls finished at feedlot (96 days) were analyzed. These animals were fed a control diet with sugar cane and concentrate without oil or diets containing sugar cane and concentrate with different sources of oil (soybean or linseed), protected or not from ruminal degradation. A randomized block design was adopted with five treatments and seven replications. The means were compared using orthogonal contrasts at 0.05 significance level. Animals fed diets with oil showed higher levels (P&lt;0.05) of protein and lower levels (P&lt;0.05) of ash than control diet. Lower cholesterol (P&lt;0.05) levels resulted from linseed oil added treatment compared to soybean oil (37.70 and 43.80 mg/100 g, respectively); on the other hand, cholesterol levels increased (P&lt;0.05) for protected oils compared to non-protected (44.53 and 33.97 mg/100 g). Oil added diets resulted in higher (P&lt;0.05) linolenic acid levels. Linseed oil increased (P&lt;0.05) the levels of the fatty acids C14:1, C16:1 and C18:1 n9. Addition of linseed oil, whether protected or not, to the animal diets improves the fatty acid composition of the rump cap by increasing the amount of omega-3 fatty acids and improving the omega-6:omega-3 ratio.</span

Métodos de mensuração da área de olho de lombo e suas relações entre componentes da carcaça de touros jovens confinados

Este trabalho avaliou a correlação entre os métodos de mensuração da área de olho de lombo (AOL) utilizando-se de planímetro de bancada, o programa AutoCAD R14 e imagens ultrassônicas. Os métodos foram correlacionados com componentes de carcaça e vísceras de 15 animais da raça Nelore abatidos com peso e idade média de 488,7 kg e 21 meses e 15 animais da raça Canchim com peso e idade média de 468,9 kg e 18 meses, respectivamente. Os animais foram alimentados por 126 dias com diferentes teores de concentrado (40% e 60% na matéria seca). Ao final do período experimental, os animais foram abatidos em frigorífico comercial, onde foram obtidos os pesos de vísceras e da carcaça quente e após 24 horas de resfriamento, o peso das meias-carcaças resfriadas. Foi retirada uma seção do músculo Longissimus, compreendida entre a 11a e 13a costelas, de cada meia-carcaça esquerda e levadas ao laboratório, para as análises de AOL e espessura de gordura de cobertura. Foram estudados os coeficientes de correlações de Pearson entre as características: comprimento de carcaça (CC), peso de abate (PA), rendimento de carcaça (RC), peso de traseiro (PTra), peso dianteiro (PDia), peso de ponta de agulha (PPA), peso de carcaça fria (PCF), peso do fígado (PFíg), peso do rim (PRim) e peso da gordura perirrenal-pélvica e inguinal (PGPPI). Os três métodos de avaliação da área de olho de lombo são considerados eficientes, podendo ser utilizados em função da disponibilidade

Performance and carcass characteristics of Nellore young bulls fed different sources of oils, protected or not from rumen degradation

The objective was to evaluate the addition of vegetable oils protected or not from rumen degradation in the diet of feedlot-finished young bulls and their effects on performance and carcass characteristics. Thirty-five Nellore males of 402.69±14.90 kg initial weight and 18±2 months of age were utilized. The animals were confined for 96 days, after 28 days of adaptation, and slaughtered at 532.17±30.25 kg. Experimental diets were: control (715 g total digestible nutrients - TDN/kg of dry matter - DM), with addition of soybean oil or fresh linseed oil, and with the addition of the same oils protected from rumen degradation (765 g TDN/kg DM). All diets were formulated with the same amount of protein and with a roughage:concentrate ratio of 40:60, with sugarcane as the only roughage. The addition of oil, regardless of the type and processing, resulted in greater body weight gain (1.17 and 1.41 kg/animal/day), better feed (0.11 and 0.14 kg weight gain/kg DM ingested) and protein efficiency (0.86 and 1.09 kg weight gain/kg crude protein ingested), heavier carcasses (280.3 and 298.0 kg), with better yield (54.5 and 55.5%) and thicker subcutaneous fat (5.1 and 7.5 mm backfat thickness) and with heavier prime cuts, for control diet and the other treatments, respectively. The use of soybean or linseed oil protected or not from rumen degradation only changed the intake of a few nutrients and carcass yield and depth. Thus the addition of energy sources in the diet is beneficial for finishing feedlot bulls. For this addition, either soybean or linseed oils can be used, and the processing of these oils is only useful to facilitate the mixing with the other ingredients of the diet

Body measurements and carcass characteristics correlation of Nellore young bulls finishidedED IN FEEDLOT

In this work it was aimed to evaluate Pearson correlations between body measurements, carcass characteristics and production of 35 Nellore bulls, confined for 96 days, with 402±14.90 kg and 18 months old. Weightings, ultrasound images and 14 measurements were obtained at the beginning of each experimental period and before slaughter, totaling four weight ratings of ultrasound images and measurements per animal. For the evaluation of body measurements and ultrasound images with carcass traits the values from the last measurement were considered. The images were made along with weighing animals through a Scanner, and measurements with a tape measure and a zoométrica cane, and these were correlated with each other and with productive and carcass characteristics. For measures of loin eye area evaluated by ultrasonography, it were found positive correlations with body length (0.32), rump (0.36) and thigh (0.20); withers height (0.20) and pelviano contour (0.38) (P&lt;0.05). Variables of hip height and chest, chest width and pin bones, and heart girth showed positive correlations with two or more productive traits of economic interest, such as slaughter weight, hot carcass weight and dressing percentage (P&lt;0.05). Significant correlations were found for most of the variables studied. Linear body measurements such as length and height emerge as a tool that can be useful in the formation of more homogenous lots and to predict the point of slaughter, along with the weight of the animals

Fatty acids composition of loin backfat of Nellore and Canchim bovines finished at feedlot and fed with differents levels of concentrate in diets

The objective was to evaluate fatty acids composition of the back fat in loin meat (Longissimus muscle) from Nellore and Canchim young bulls. The animals were finished at feedlot and received sugar cane diets with two concentrate levels (40 and 60% of dry matter). The concentrates were formulated with sunflower grains, corn, soybean meal, dry sugar cane yeast, urea and mineral mixture. The experimental design was a completely randomized design with a 2x2 factorial arrangement (genetic group x concentrate level), and the results were submitted to the variance analysis and means compared by Tukey test at 5% probability, when the interaction was significant. The loin backfat of Nellore bulls had higher concentration of conjugated linoleic acids than Canchim bulls (0.86 and 0.59%, respectively). On the other hand, the loin back fat of Canchim bulls had higher concentrations of estearic (17.07%) and linoleic acids (2.40%) and polyunsaturated fatty acids than Nellore bulls, that showed values of 13.47 and 1.44, respectively. The Nellore and Canchim loin back fat presents significant amounts of beneficial fatty acids to human health. Levels of 40 and 60% of concentrate in the diet did not alter the fatty acids composition of loin backfat