AUTOMATIC METHOD FOR GLAUCOMA CLASSIFICATION USING TEXTURE ANALYSIS, XGBOOST AND GRID SEARCH

Glaucoma is an irreversible pathology, generated by increased intraocular pressure. Early detection is critical and can pre- vent total vision loss. Clinical examinations are commonly used to detect the disease. Still, the time and cost of identi- fication is quite high. This paper presents a computational methodology that aims to assist specialists in the discov- ery of glaucoma through Computer Vision techniques. The proposed methodology consists in the application of several texture descriptors combined with a parameter optimiza- tion done through Grid search with the XGBoost classifier. A result was obtained with accuracy of 82.37% and ROC of 82.08%

INTERNATIONALIST DIALOGICAL MONISM

The unprecedented issue I bring today for my readers’ reflection aims to propose a new monistic solution to the proble m of the relations between International Law (of Human Rights) and domestic Law. What I explain below will be incorporated in the 5th edition of my Course of Public International Law, published by the Revista dos Tribunais, and expected to arrive to the readers later this year of 2010

BLOCKCHAIN AND IOT INTEGRATED APPROACH FOR A TRUSTED AND SECURED PROCESS TO MANAGE THE TRANSPORTATION OF DANGEROUS GOODS

The domain of transport and supply chain of goods is todaystrongly impacted by the digital technologies similarly to thelogistic enterprises providing them. Due to their critical nature.Not only these services are required to be correct but atraceability of the end-to-end process of transportation hasto be provided. The inuence of cutting edge technologiessuch as the Internet of Things (IoT) and blockchain enablesa new level of transparency and real-time verication of theprocess of transport. The impact of the IoT attributes toimproving the quality of services in several domains so itdoes in transportation. The capacity of IoT devices to generatereal-time information is essential to monitor processand other daily activities in the domain of transport. In thearea of dangerous goods transportation, this is even morecritical since stakeholders of the supply chain need to shareand exchange information in a trustful manner. Sensitive informationabout the transportation process should veriedbefore shared as well as protected from any unauthorizedaccess and changes. For a trusted and transparent processof transport, the data captured by IoT devices to monitorthe transportation of goods, should remain consistent, reliableand with proved integrity properties. In this paper, wepresent a research that highlights how the potential of theblockchain and IoT technologies can be eciently integratedin order to secure information exchange in an end-to-endprocess of transport of dangerous goods (TDG). Firstly, weexamine the process of TDG from the perspective of stakeholdercollaboration i.e., information ow. Secondly, we proposea model that supports an end-to-end TDG based on thePermission to make digital or hard copies of all or part of this work for personal orclassroom use is granted without fee provided that copies are not made or distributedfor profit or commercial advantage and that copies bear this notice and the full citationon the first page. To copy otherwise, or republish, to post on servers or to redistributeto lists, requires prior specific permission and/or a fee.regulatory framework. Third, we integrate blockchain andIoT technologies for securing information sharing during theprocess of TDG. Hence, we show how the transparent providesthe righ level of abstractions to the process of TDG. Aproof of concept applying our approach has been developedand tested

A BLOCKCHAIN-BASED EDUCATIONAL RECORD REPOSITORY

The Blockchain technology was initially adopted to implement various cryptocurrencies. Currently, Blockchain is foreseen as a general purpose technology with a huge potential in many areas. Blockchain-based applications have inherent characteristics like authenticity, immutability and consensus. Beyond that, records stored on Blockchain ledger can be accessed any time and from any location. Blockchain has a great potential for managing and maintaining educational records. This paper presents a Blockchain-based Educational Record Repository (BcER²) that manages and distributes educational assets for academic and industry professionals. The BcER² system allows educational records like e-diplomas and e-certificates to be securely and seamless transferred, shared and distributed by parties. The Blockchain technology was initially adopted to implement various cryptocurrencies. Currently, Blockchain is foreseen as a general purpose technology with a huge potential in many areas. Blockchain-based applications have inherent characteristics like authenticity, immutability and consensus. Beyond that, records stored on Blockchain ledger can be accessed any time and from any location. Blockchain has a great potential for managing and maintaining educational records. This paper presents a Blockchain-based Educational Record Repository (BcER²) that manages and distributes educational assets for academic and industry professionals. The BcER² system allows educational records like e-diplomas and e-certificates to be securely and seamless transferred, shared and distributed by partie

NTA-IOT: A FLEXIBLE AND MODULAR ARCHITECTURE FOR IOT APPLICATIONS

This work introduces the NTA-IoT, an abstract IoT architecture that is intended to be flexible and modular, in order to serve as a generic guide tool for developing IoT projects. The model is composed of two types of layers: base layers and support layers, with each layer providing a particular service in the IoT infrastructure. Some considerations and possible roles for building IoT projects following the NTA-IoT architecture are also detailed. Finally, this paper presents an example of a concrete implementation of the architecture on a home automation problem, based on the use of different technologies such as KNX, MQTT and the Outsystems platform to build a functional end-to-end IoT project. The correct functioning of this implementation shows that the architecture is, in fact, consistent and well-suited to serve as strategic guide to carry IoT projects with satisfactory results. Although the case study presented in this work is applied to home automation, the framework is hoped to be applicable to any type of project

SPINAL CORD SEGMENTATION AS OAR IN PLANNING CT FOR RADIOTHERAPY USING HISTOGRAM MATCHING, TEMPLATE MATCHING, AND U-NET

Radiotherapy is one of the major option used in cancer management. The treatment involves several steps, one of which is the construction of a computed tomography (CT) model of the patient so that the target tissues and organs at risk (OARs) surrounding that target can be evaluated. With the CT, the responsible physician delimits the OARs slice by slice, as the spinal cord that comprises almost all the tomography becomes more tiring to be segmented and thus susceptible to errors. Thus, this paper presents a method of spinal cord segmentation in planning CT for radiotherapy using template matching, histogram matching and a fully convolutional neural network. The result achieved an accuracy of 99.38\%, specificity of 99.12\%, sensitivity of 93.83\%, and dice index of 81.33\%, without any segmentation refinemen

MINORITY STRESS: DOES SEXUAL ORIENTATION REALLY MATTER ?

The objective of this study was to compare the degree of work stress experienced by heterosexual and non-heterosexual men. For this, a survey was conducted with 225 white male executive employees at different companies. Sexual orientation was self-declared which made possible to isolate two groups of respondents: 104 of whom defined their sexual orientation as heterosexual, and 121 as non-heterosexual. A work stress scale was applied. Results indicated that there was no statistically significant difference between the work stress experienced by the two groups. The analysis developed indicated that for groups that are like the sample used, being heterosexual or non-heterosexual is not enough to determine the degree of stress that one can suffer.DOI: 10.21714/2178-8030gep.v.21.6194El objetivo de este estudio fue comparar el grado de estrés laboral experimentado por hombres heterosexuales y no heterosexuales. Para esto, se realizó una encuesta con 225 empleados ejecutivos blancos de diferentes compañías. La orientación sexual fue auto declarada, lo que permitió aislar a dos grupos de encuestados: 104 de ellos definieron su orientación como heterosexual y 121 como no heterosexual. Se aplicó una escala de estrés laboral. Los resultados no indicaron diferencias estadísticamente significativas entre el estrés laboral experimentado por ambos grupos. El análisis desarrollado indicó que, para grupos similares a la muestra utilizada, ser heterosexual o no heterosexual no es suficiente para determinar el grado de estrés que uno puede sufrir.O objetivo deste estudo foi comparar o grau de estresse no trabalho vivenciado por homens heterossexuais e não heterossexuais. Para isso foi realizada pesquisa com 225 funcionários executivos, homens, brancos, de diferentes empresas. A orientação sexual foi autodeclarada, o que tornou possível isolar dois grupos de respondentes: 104 deles definiram sua orientação como heterossexual e 121 como não heterossexual.  Uma escala de estresse no trabalho foi aplicada. Os resultados indicaram não haver diferença estatisticamente significante entre o estresse no trabalho vivenciado pelos dois grupos. A análise desenvolvida indicou que para grupos similares ao da amostra usada, ser heterossexual ou não heterossexual não é suficiente para determinar o grau de stress que alguém pode sofrer.DOI: 10.21714/2178-8030gep.v.21.619

ESTUDO DA MORTALIDADE DOS MÉDICOS NO ESTADO DA BAHIA, BRASIL, NO PERÍODO 2008-2017

Introduction: The mortality study is widely used for the evaluation and follow-up of health programs around the world serving as an important tool to measure the efficiency of health programs besides serving as a parameter for the application of new health strategies that may have positive impacts health status of the population. Despite its importance, mortality studies in specific social groups such as physicians have been scarce in the world, including in Brazil. Aim: Here, our aim was to describe and analyze the mortality profile of physicians in the state of Bahia during a period of ten years (2008-2017). Methods: A descriptive, analytical and retrospective study was performed by analyzing all causes of death according to ICD-10. The categorical analyzes used were marital status, ethnicity, age, gender, and cause of death. Results: Among Bahian physicians, there were 489 deaths in the period, most among men (84%) which occurred in older ages. There was a predominance of white people in both sexes. The top three causes of death were diseases of the circulatory system (28%), neoplasia (27%) and external causes (12%). This pattern was the same among male population, but neoplasms were the most common cause of death among women. The coefficient of mortality of the medical population was about half of the total population, being able to reflect the great expansion of the Brazilian medical population in recent years. Conclusion: These findings show facts and tendencies which may contribute for the understanding mortality among physicians in Bahia, Brazil.Introdução: O estudo de mortalidade é utilizado para a avaliação e acompanhamento de programas de saúde em todo o mundo. Apesar de sua importância, estudos de mortalidade em grupos sociais específicos, como médicos, são escassos no mundo todo, incluindo o Brasil. Objetivo: Nosso objetivo foi descrever e analisar o perfil de mortalidade de médicos no estado da Bahia durante um período de dez anos (2008-2017). Métodos: Estudo descritivo, analítico e retrospectivo, analisando todas as causas de óbito segundo a CID-10. As análises categóricas utilizadas foram estado civil, etnia, idade, sexo e causa da morte. Resultados: Entre os médicos baianos, ocorreram 489 mortes no período, a maioria entre os homens (84%), que ocorreu em idades mais avançadas. Houve predomínio de pessoas brancas em ambos os sexos. As três principais causas de morte foram doenças do aparelho circulatório (28%), neoplasia (27%) e causas externas (12%). Esse padrão foi o mesmo entre a população masculina, mas as neoplasias foram a causa mais comum de morte entre as mulheres. O coeficiente de mortalidade da população médica é cerca da metade da população total, podendo refletir a grande expansão da população médica brasileira nos últimos anos. Conclusão: Os achados mostram fatos e tendências que podem contribuir para o entendimento da mortalidade entre médicos na Bahia, Brasil

PATH SMOOTHING STRATEGY BASED ON METAHEURISTIC ALGORITHMS FOR PROBABILISTIC FOAM

The probabilistic Foam method (PFM) is a sampling-basedpath planning algorithm that ensures a feasible path boundedby a safe region. This method is ideal for assistive roboticsapplications, which demands a high level of safety, such asperforming a motion by an active exoskeleton. However,PFM generates non-smoothed paths, which results in nonanthropomorphicmovements. Thus, this paper presentssome optimization strategies based on metaheuristics to smooththe paths generated by PFM. Simulated experiments wereperformed using the Harmony Search Algorithm, and GeneticAlgorithm and they were applied to an exoskeleton toovercome an obstacle. Results show that our proposed approachis capable of smoothing paths for this application,which resulted in more anthropomorphic motions

COMPARATIVE STUDY FOR MELANOMA SEGMENTATION IN SKIN LESION IMAGES

Melanoma is the leading cause of fatalities among skin can-cers and the discovery of the pathology in the early stagesis essential to increase the chances of cure. Computationalmethods through medical imaging are being developed tofacilitate the detection of melanoma. To interpret informa-tion in these images eciently, it is necessary to isolate theaected region. In our research, a comparison was made be-tween segmentation techniques, rstly a method based onthe Otsu algorithm, secondly the K-means clustering algo-rithm and nally,the U-net deep learning was developed.The tests performed on the PH2 images base had promisingresults, especially U-net