Hybrid Model For Word Prediction Using Naive Bayes and Latent Information

Historically, the Natural Language Processing area has been given too much attention by many researchers. One of the main motivation beyond this interest is related to the word prediction problem, which states that given a set words in a sentence, one can recommend the next word. In literature, this problem is solved by methods based on syntactic or semantic analysis. Solely, each of these analysis cannot achieve practical results for end-user applications. For instance, the Latent Semantic Analysis can handle semantic features of text, but cannot suggest words considering syntactical rules. On the other hand, there are models that treat both methods together and achieve state-of-the-art results, e.g. Deep Learning. These models can demand high computational effort, which can make the model infeasible for certain types of applications. With the advance of the technology and mathematical models, it is possible to develop faster systems with more accuracy. This work proposes a hybrid word suggestion model, based on Naive Bayes and Latent Semantic Analysis, considering neighbouring words around unfilled gaps. Results show that this model could achieve 44.2% of accuracy in the MSR Sentence Completion Challenge

Balancing skills in the digital transformation era: The future of jobs and the role of higher education

Developing human resources and matching job profiles are essential tasks to promote economic and social growth. The technology-related job market has undergone significant changes over recent years, mainly due to technological advances that have pushed industry toward new demands for skilled professionals. This change in required skills and competencies has led to a gap between what companies need and the professional profiles that are available in the job market. Technology companies are often unable to find an employee who meets the required profile, resulting in financial loss and extra training expenses. It is therefore essential that higher education in technology is reconsidered to address job market demands. Thus the goal of this work is to evaluate the relationship between the professional profile required by information technology (IT) companies and what students are taught on IT-related programs in higher education institutions (HEIs). The authors adopt a systemic perspective in three different qualitative approaches. They cross-check and link data on educational curricula acquired from interviews with IT human resource managers (HRMs) and student focus groups. The analysis reveals that HEIs must go beyond the transfer of knowledge and technical qualification in IT, promoting a comprehensive education that incorporates personal development goals, with a focus on developing social and emotional skills. The study focuses on the emerging economy of Brazil and presents findings from which other developing countries can learn. The results reveal the critical role of soft skills in the professional development and employability of students and the associated challenge for technical education. In conclusion, the authors also highlight the importance of partnerships between HEIs and HRMs as a fundamental strategy to fulfill the current skills gap

Evaluation of landslide susceptibility of Sete Cidades Volcano (S. Miguel Island, Azores)

Sete Cidades is an active central volcano with a summit caldera located in the westernmost part of S. Miguel Island (Azores). Since the settlement of the Island, in the 15^th century, many landslide events occurred in this volcano, causing extensive damages in buildings and infrastructures. The study of historical records and the observation of new occurrences showed that landslides in the region have been triggered by heavy rainfall periods, earthquakes and erosion. <P style='line-height: 20px;'> In order to assess landslide susceptibility at Sete Cidades Volcano, landslide scars and associated deposits were mapped through aerial photographs and field surveys. The obtained data were inserted in a GIS to produce a landslide distribution map. It was concluded that the high density landslide areas are related with (1) major scarp faults, (2) the margin of fluvial channels, (3) the sea cliffs and (4) volcanic landforms, namely the caldera wall. About 73% of the mapped events took place in areas where pyroclastic deposits are the dominant lithology and more than 77% occurred where slopes are equal or higher than 20&deg;. These two parameters were integrated and used to generate a preliminary susceptibility map. <P style='line-height: 20px;'> The incorporation of vulnerability data into the GIS allowed concluding that 30% of dwellings and most of the roads on Sete Cidades Volcano are located in areas where landslide susceptibility is high to very high. Such conclusion should be taken into account for emergency and land use planning

Phenotypic heterogeneity of peripheral monocytes in healthy dogs

Monocytes are key cells of the innate immune system. Their phenotypic and functional roles have been investigated in humans, mice and other animals, such as the rat, pig and cow. To date, detailed phenotypic analysis of monocytes has not been undertaken in dogs. Two important surface markers in human monocytes are CD14 and MHC class II (MHC II). By flow cytometry, we demonstrated that canine monocytes can be subdivided into three separate populations: CD14posMHC IIneg, CD14posMHC IIpos and CD14negMHC IIpos. Both light and transmission electron microscopy confirmed the monocytic identity of all three populations. The CD14posMHC IIneg population could be distinguished on an ultrastructural level by their smaller size, the presence of more numerous, larger granules, and more pseudopodia than both of the other populations

EVOLUÇÃO TEMPORAL E ESPACIAL DAS PALEOVOÇOROCAS PRESENTES NO MUNICÍPIO DE LOANDA/PR.

Este trabalho objetivou analisar a evolução de algumas feições erosivas do município de Loanda/PR, a partir da observação de fotografias aéreas e imagens de satélite e radar. Os resultados mostram que essas incisões erosivas precedem o processo de ocupação, corroborando com a hipótese de se tratarem de paleovoçorocas, formadas em condições edáficas e climatológicas diferentes das atuais, remontando sua provável origem ainda no Quaternário

Um software para extração de ESTs, CONTIGS e SINGLETS do CAFEST.

Uma das dificuldades encontrada atualmente para os usuários da base de dados do Projeto Brasileiro do Genoma Café (CafEST) é a dificuldade em extrair manualmente todas as sequências armazenadas em seus projetos, no sistema Gene Projects. A partir dessa necessidade, foi desenvolvido um software para fazer a automatização do processo. Desta forma, o usuário do CafEST passa a dispor da comodidade de apenas informar ao programa quais projetos ele deseja que tenham as ESTs, contigs ou singlets extraídos. O programa consiste em dois scripts, um para fazer a extração das ESTs e outro para fazer a extração dos contigs e dos singlets. Os dois scripts retiram do CafEST apenas as ESTs, os contigs e singlets e salvam cada um desses em um arquivo do tipo FASTA. Isto facilita o uso dos mesmos em outras bases de dados e/ou ferramentas de bioinformátic