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This study aimed to assess whether the whole body metabolic active tumour volume (MTVWB), quantified on staging [18F]FDG PET/CT, could further stratify stage IV non-small cell lung cancer (NSCLC) patients. A group of 160 stage IV NSCLC patients, submitted to staging [18F]FDG PET/CT between July 2010 and May 2020, were retrospectively evaluated. MTVWB was quantified. Univariate and multivariate Cox regressions were carried out to assess correlation with overall survival (OS). C-statistic was used to test predictive power. Kaplan–Meier survival curves with Log-Rank tests were performed to compute statistical differences between strata from dichotomized variables and to calculate the estimated mean survival times (EMST). Survival rates at 1 and 5 years were calculated. MTVWB was a statistically significant predictor of OS on univariate (p

The lipodystrophic syndrome in HIV is characterized by alterations in the distribution of body fat and metabolic alterations characterized by an increase in serum lipids; peripheral insulin resistance. The questionnaires applied were: a questionnaire for characterizing adults with HIV/AIDS. Most interviewees were male (66%), aged between 29 and 73 years old, as for the level of education, 44% had completed high school. They were predominantly of low socioeconomic status. As for marital status, only 14% were married. As for the anthropometric variables, the average of male weight (66.81 kg) was greater than that of female weight (63.3 kg) and in terms of height only 0.01 m difference in height between the two groups, with men of taller than women. The mean BMI had a small difference between the two groups, thus, only 2 patients were thin; eutrophy we had 22 patients; pre obesity we had 19 patients; obesity we had 7 patients. The research has implications for professional practice, with the perception of the importance of observing, improving and intervening so that the demands of service users are met, aiming to direct actions aimed at their resolution and strengthening the patient's bond with health. El síndrome lipodistrófico en el VIH se caracteriza por alteraciones en la distribución de la grasa corporal y alteraciones metabólicas caracterizadas por un aumento de los lípidos séricos; resistencia periférica a la insulina. Los cuestionarios aplicados fueron: un cuestionario de caracterización de adultos con VIH/SIDA. La mayoría de los entrevistados eran del sexo masculino (66%), con edades comprendidas entre 29 y 73 años, en cuanto al nivel de instrucción, el 44% tenía secundaria completa. Eran predominantemente de nivel socioeconómico bajo. En cuanto al estado civil, solo el 14% estaba casado. En cuanto a las variables antropométricas, el promedio de peso masculino (66,81 kg) fue mayor que el peso femenino (63,3 kg) y en cuanto a la altura solo 0,01 m de diferencia de altura entre los dos grupos, siendo los hombres más altos que las mujeres. El IMC promedio tuvo una pequeña diferencia entre los dos grupos, así, solo 2 pacientes eran delgados; eutrofia tuvimos 22 pacientes; pre obesidad tuvimos 19 pacientes; obesidad tuvimos 7 pacientes. La investigación tiene implicaciones para la práctica profesional, con la percepción de la importancia de observar, mejorar e intervenir para que las demandas de los usuarios de los servicios sean atendidas, visando encaminar acciones encaminadas a su resolución y fortaleciendo el vínculo del paciente con la salud. A síndrome lipodistrófica no HIV é caracterizada por alterações na distribuição da gordura corporal e alterações metabólicas caracterizadas pelo aumento dos lipídios séricos; resistência periférica à insulina. Os questionários aplicados foram: um questionário para caracterização de adultos com HIV / AIDS. A maioria dos entrevistados era do sexo masculino (66%), com idade entre 29 e 73 anos, quanto ao grau de instrução 44% possuíam o ensino médio completo. Eles eram predominantemente de baixo nível socioeconômico. Quanto ao estado civil, apenas 14% eram casados. Quanto as variáveis antropométricas, a média do peso masculino (66,81 kg) foi maior que o do peso feminino (63,3 kg) e quanto a altura apenas 0,01m de diferença de altura entre os dois grupos, sendo os homens de maior estatura que as mulheres. A média do IMC teve uma pequena diferença entre os dois grupos, sendo assim, apresentando magreza apenas 2 pacientes; eutrofia tivemos 22 pacientes; pré obesidade tivemos 19 pacientes; obesidade tivemos 7 pacientes. A pesquisa traz implicações para a prática profissional, com a percepção da importância de observar, aprimorar e intervir para que as demandas dos usuários dos serviços sejam atendidas, visando direcionar ações que visem a sua resolução e fortalecimento do vínculo do paciente com a saúde.

To ensure the safety and durability of structures, the constant monitoring of their structural health has been used by engineers to manage these structures. Optical fiber sensors have the advantage of long transducer-to-processing distances, the capacity to work in harsh environments, immunity to electromagnetic noise, and reliability. Therefore, optical fiber sensors are great candidates to monitor structures in-service. Here, we propose the use of a long-period fiber grating (LPG) array to monitor the loading condition of a structure. The identification method was tested in a simply-supported beam model and the estimated loading conditions were compared to the loading conditions applied to the beam. By analyzing different combinations of force intensity and position along the beam length, the results showed the force position could be estimated with 0.901% accuracy and force intensity with 2.51% accuracy using a four-LPG strain sensor array.

A refractometer based on an etched fiber Bragg gratings (EFBGs) sensor has been developed for monitoring beer fermentation in real time. The sensor was calibrated using synthetic solutions composed of water, maltose, and ethanol with alcohol by volume (ABV) ranging from 4.0% to 12.0% and Brix (sugar content) varying from 5% to 25%. Calibration results showed that the EFBG sensor responds with high sensitivity even to minor density variations less than 0.5 Brix ± 0.03 Brix in a quasi-linear monotonic fashion with respect to sugar and ethanol concentration, which allowed fitting an empirical model with good adherence to experimental data (low model variance) and with well-defined parameters (parameters covariance matrix with elements exhibiting small absolute values). Finally, the developed sensor was tested in a typical fermentation scenario. A rigorous material balance framework was established to relate the fit calibration model to actual density and alcohol content in real time, which is of assistance for process control strategies. As the proposed sensor can be fit in fermentation vessels for real-time (online) fermentation monitoring, it becomes a technological improvement to traditional offline measurements in terms of both biosafety and process control.

This work introduces a new method for long-period fiber grating (LPG) sensors interrogation. This proposal uses a fiber Bragg grating (FBG) array to extract spectral information of the LPG sensor and an Artificial Neural Network to process this information. The information is processed to estimate the LPG resonant wavelength, without prior knowledge on the LPG spectrum. Therefore, the interrogator is LPG-insensitive, can be easily manufactured by optical fiber sensors laboratories at low-cost and is suitable for in-field applications. We demonstrated the filter array and Multilayer Perceptron (MLP) design, which are the proposed interrogator core. Furthermore, we analyzed the interrogation performance by the Mean Squared Error (MSE), the Mean Absolute Error (MAE), and the distribution of the residuals. The results showed our proposal can estimate the LPG resonant wavelength with 2.82 nm uncertainty, considering a 95% confidence interval, over 75 nm dynamic range for several LPGs, with different spectral characteristics. Moreover, our proposal can be easily tailored for different dynamic ranges and resolutions with proper adjustments on the FBG array and MLP.

This article discusses modern techniques of implementation of a wideband digital modulator in an FPGA kit for use in electrical engineering communications laboratory. Previous configurations proposed in literature present limitations, as lack of details about the methods used in the algorithm developed and test procedures. Those key details can help researchers to develop this modulator more effectively. From technical point of view, previous works were also implemented for small bandwidth output signals. The proposed digital modulator has low cost and can generate signals based on several modulation schemes with various output roll-off filters. This proposed kit allows researchers to change digital signal characteristics through dip-switches, customizing the modulated signal. Advanced techniques such as parallelism of processes and fast access to look up tables using an FPGA were used to achieve the desired objective, and are detailed in the article. Besides this implementation, this article also shows test procedures to validate the performance of digital modulators using lab test equipment. Those procedures were used to validate the FPGA modulator developed. The paper shows how researchers can analyze the performance of digitally modulated output signals using an Oscilloscope, a Spectrum Analyzer, and a Vector Signal Analyzer. Features such as symbol rate, modulation constellation, roll-off output filter, and EVM are covered.

This paper presents a mathematical model for the interrogation of long period grating (LPG) fiber optical sensor. The mathematical model is simple and robust, and it is based on an electrical harmonic analysis. The model calculates the harmonic amplitude equations in the electrical domain of a wavelength modulated optical signal as a function of all the spectral parameters of the LPG. In addition, this model takes into account any distortions that might have been introduced by the wavelength modulator and by any other source of distortion. The harmonic amplitude equations are obtained by expanding the demodulated signal in Taylor Series and by taking the Gaussian shape of the LPG absorption spectra into consideration. To validate the model, we implemented a simple interrogation setup to compare the measured electrical harmonic amplitudes with those obtained using the calculated harmonic amplitude equations. A dynamic range of 25 nm was achieved by shifting the resonant wavelength of the LPG with an accuracy better than 1 dB.

Made available in DSpace on 2020-12-11T14:56:10Z (GMT). No. of bitstreams: 0 Previous issue date: 2020-04-15 Conselho Nacional de Desenvolvimento Científico e Tecnológico (CNPq) Coordenação de Aperfeiçoamento de Pessoal de Nível Superior (CAPES) In this paper a new method for the detection of optical phase in passive homodyne interferometers, with high accuracy and wide dynamic range is presented. Unlike the traditional and more recent methods, which use between 3 and 6 harmonic components to calculate the modulation index, the proposed method uses only 2 harmonic components. Because of this, the method has higher accuracy in the presence of noise compared to other methods known in the literature. Further, the method has the advantage of not requiring knowledge of the phase of the excitation signal. The numerical implementation is simple, since it uses a 3rd order polynomial fit for the calculation of the modulation index. For the experimental verification of the method, a configuration based on an unbalanced Mach-Zehnder interferometer (MZI) was used, which resulted in a dynamic range for the modulation index from 8.38 to 16.76 rad. It is important to note that these limits can be easily expanded by means of adaptations of the optical and electronic setup depending on the characteristics of the excitation signal. The proposed method can be used in several applications, such as pressure measurements, vibration, displacement, etc. Fed Fluminense Univ UFF, Telecommun Engn Dept, Postgrad Program Instrumentat & Appl Opt PPGIO, BR-24220900 Niteroi, RJ, Brazil Univ Salgado de Oliveira, Engn Dept, BR-24030060 Niteroi, RJ, Brazil Sao Paulo State Univ, Elect Engn Dept, BR-01001900 Sao Paulo, Brazil Fed Inst Educ Sci & Technol Mato Grosso do Sul, Elect Engn Dept, BR-79641162 Tres Lagoas, Brazil Univ Fed Juiz de Fora, Elect Circuit Dept, BR-36036900 Juiz De Fora, Brazil Sao Paulo State Univ, Elect Engn Dept, BR-01001900 Sao Paulo, Brazil CNPq: 305307/2015-0 CNPq: 420673/2016-4

Cotidianamente as entidades são obrigadas a pagar tributos, obrigações que custam caro e que afetam diretamente os lucros, e que causam descontentamento em muitos empresários que buscam expandir seus negócios. O Planejamento tributário é o instrumento contábil que auxilia as empresas na busca de estratégias para reduzir, postergar e até mesmo anular tributos que incidem diariamente sobre as entidades. O presente trabalho objetiva-se descrever e analisar o perfil dos artigos disponíveis na Plataforma de periódicos CAPES no período de 2009 a 2019 sobre o tema Planejamento Tributário. Quanto à natureza da pesquisa, classifica-se como quantitativa, pois a mesma utiliza recursos de porcentagem para apurar os resultados, no qual, percebe-se uma quantidade superior de autores homens, uma predominância de artigos publicados da região Sudeste e mais da metade dos autores possui titulação de mestre. Apesar da relevância do tema, notou-se que ainda existem poucos estudos publicados nos últimos 11 anos (aproximadamente) sobre planejamento tributário.

Information about future streamflow is important for hydropower production planning, especially for damless hydro-power plants. The river flow is a reflection of various hydrological, hydrogeological, and meteorological factors, which increases the direct modeling difficulty, and favors the use of data-driven methods. In this paper, we propose the use of one-dimensional convolutional neural networks (1d-CNN) for multi-day ahead river flow forecasting and we present a multi-input model using correlated-input time-series. The proposed model was applied at the Madeira River, the Amazon's largest and most important tributary, near the Santo Antônio damless hydro-power plant. We compared the proposed correlated-input 1d-CNN to a single-input 1d-CNN model and some baseline models. Furthermore, we conclude that 1d-CNN performed better than all baseline models and that the correlated-input forecasting model is 5 times smaller than the single-input equivalent with accuracy improvements.

Salinity is a key variable in understanding several issues, from public health to food security. Measuring salinity in situ is traditionally done using conductivimetric methods, and can be challenging due to extreme temperatures, corrosive environment, and oxidation. Fiber-based methods and other alternatives proposed to date have brought a number of advantages, but present low sensor strength, complex or expensive setups, cross-influence of temperature, lack of portability, or prohibitively long response times. This work presents a simple, compact salinity sensing system that, associated with a modern interrogation technique, is capable of achieving good accuracy even in remote sensing and low salt concentrations. The sensor is a long-period grating fabricated using the point-by-point electric arc method. The interrogator is based on optical time-domain reflectometry aided by signal processing techniques inspired by audio processing. Experimental data show that the system is capable of estimating salinity in the range from 0 g/L to 80 g/L within 0.49 g/L on average, with the sensor 4 km away from the light source.

The application of signal processing and feature extraction to reflectometry traces aiming at sensor interrogation is not sufficiently explored. In this work, traces produced by an optical time-domain reflectometer in experiments using a long-period grating in different external media are analyzed using signal processing techniques inspired by audio processing. The objective is to demonstrate that, using this type of analysis, it is possible to correctly identify the external medium through the characteristics of the reflectometry trace. Results show that the features extracted from the traces were able to produce good classifiers, one of them achieving 100% correct classification for the data set presently considered. This technology could be applied in scenarios where it is necessary to distinguish among a given set of gases or liquids nondestructively.

We propose a strain sensor based on a long-period fiber grating (LPFG) packaged in a 3D-printed structure made of polymer material. The proposed sensing structure was fabricated using a commercially available 3D printer by embedding a bare LPFG sensor inside the polymer material during the printing process. The raw material used for the fabrication of the polymer structure was Polylactic Acid (PLA). We experimentally investigated the strain-dependent spectral response of the produced sensor by observing the transmitted spectral profile. Finally, the results showed that a linear strain sensitivity of − 4.6 pm/μe with the range of 0–1000 μe was achieved, therefore indicating that the proposed sensing device is suitable for strain deformation measurement.

This article presents the development of an inclinometer device based on a Mach-Zehnder interferometer considering the effects caused by temperature variations. It was demonstrated the operation of a LPG-taper system for angle measurements. The practical results satisfactorily show reliable inclination measures, even with the cross sensibility effect caused by variable temperature.

A síndrome lipodistrófica no HIV é caracterizada por alterações na distribuição da gordura corporal e alterações metabólicas caracterizadas pelo aumento dos lipídios séricos; resistência periférica à insulina. Os questionários aplicados foram: um questionário para caracterização de adultos com HIV / AIDS. A maioria dos entrevistados era do sexo masculino (66%), com idade entre 29 e 73 anos, quanto ao grau de instrução 44% possuíam o ensino médio completo. Eles eram predominantemente de baixo nível socioeconômico. Quanto ao estado civil, apenas 14% eram casados. Quanto as variáveis antropométricas, a média do peso masculino (66,81 kg) foi maior que o do peso feminino (63,3 kg) e quanto a altura apenas 0,01m de diferença de altura entre os dois grupos, sendo os homens de maior estatura que as mulheres. A média do IMC teve uma pequena diferença entre os dois grupos, sendo assim, apresentando magreza apenas 2 pacientes; eutrofia tivemos 22 pacientes; pré obesidade tivemos 19 pacientes; obesidade tivemos 7 pacientes. A pesquisa traz implicações para a prática profissional, com a percepção da importância de observar, aprimorar e intervir para que as demandas dos usuários dos serviços sejam atendidas, visando direcionar ações que visem a sua resolução e fortalecimento do vínculo do paciente com a saúde.

In this work, we report the comparison of regression methods in a long-period grating (LPG) for transverse strain measurement. We analyze the transverse strain sensing characteristics, such as load intensity and azimuthal angle, based on the birefringence effect induced in LPG sensor. Therefore, we employ the different orthogonal responses of the grating to develop regression methods, which allow the estimation of the strain behavior of the LPG sensor. The predictive performances of these interrogation models are compared in terms of square correlation coefficient (R2) and root mean square error (RMSE). Finally, the results indicate that the best method to predict load intensity is the Fourth-Degree Polynomial Fit, whereas the artificial neural network (ANN) model could be successfully employed to predict the azimuthal angle.

This study aimed to assess whether the whole body metabolic active tumour volume (MTVA group of 160 stage IV NSCLC patients, submitted to staging [MTVBaseline MTV

This research employs displacement fields photogrammetrically captured on the surface of a solid or structure to estimate real-time stress distributions it undergoes during a given loading period. The displacement fields are determined based on a series of images taken from the solid surface while it experiences deformation. Image displacements are used to estimate the deformations in the plane of the beam surface, and Poisson’s Method is subsequently applied to reconstruct these surfaces, at a given time, by extracting triangular meshes from the corresponding points clouds. With the aid of the measured displacement fields, the Boundary Element Method (BEM) is considered to evaluate stress values throughout the solid. Herein, the unknown boundary forces must be additionally calculated. As the photogrammetrically reconstructed deformed surfaces may be defined by several million points, the boundary displacement values of boundary-element models having a convenient number of nodes are determined based on an optimized displacement surface that best fits the real measured data. The results showed the effectiveness and potential application of the proposed methodology in several tasks to determine real-time stress distributions in structures.

The capabilities of signal processing tools to extract high-level features of interest from fiber sensors measurements have not been properly explored for interrogation purposes. In this context, this paper advances an interrogation system for long-period grating sensors by means of a novel low-cost method that combines an optical time-domain reflectometer with suitable descriptors to classify the sample weight under test. The operation principle is based on the attenuation bands induced by cladding modes of a long-period grating, which are affected by the applied mechanical strain. The proposed interrogation system does not require an optical spectrum analyzer, since the measured reflectometry traces directly feed a feature extractor tailored for the intended classification. Experimental results show, for example, that this method is capable of successfully differentiating a load whose mass is 7.2 g from another one whose mass is 14.1 g, with the interrogation equipment located 10 km from the loads. This implies a high sensitivity that is quite unexpected to attain with the commercially available off-the-shelf devices required by the proposed scheme.

Etched fiber Bragg gratings (EFBGs) have been widely employed for refractive index (RI) measurements that can be used to monitor sugar consumption during the fermentation of alcoholic beverages. EFBGs are obtained by removing the cladding of a fiber Bragg grating, which is traditionally performed by a chemical attack with hydrogen fluoride, an extremely hazardous corrosive substance that causes severe wounds and even death. To overcome such drawbacks, this technical note presents a simple, practical, and low cost method for the diameter reduction of single mode optical fibers by mechanical polishing, employing a small scale computer numerical control device and an ad hoc 3D-printed rod. The sensor probe obtained was tested using sucrose aqueous solutions with RIs between 1.333 and 1.394, measured in an Abbe refractometer. The results show a linear shift of the Bragg wavelength with respect to RI with a correlation of 0.928.

In this paper, we present and discuss a scheme to perform simultaneous measurement of multi-perturbations using a single Long-Period Grating (LPG). It was shown that different spectral shifts in the resonant bands of the transmitted spectrum of an LPG sensor can be used for measuring concurrent perturbations. The functioning mechanism of this multi-parameter sensing scheme is discussed and used to perform simultaneous sensing of temperature, mechanical strain and refractive index variations.

Surveillance missions in vast, difficult access environments are responsible for logistic difficulties in comparison to using an in loco monitoring team. For this and many other reasons, solutions with robotic platforms such as unmanned aerial vehicles (UAVs), present economic advantages.

In this paper we demonstrate the development of an adjustable and compact polarization mode dispersion (PMD) emulator device, based on piezoelectric actuators that squeezes a defined pieces of an Hi-Bi fiber. Using this device, the first and second order PMD (SOPMD) can be reproduced in a controlled and compact way, allowing its use as a reliable metrological reference for PMD compensators and for the study of several polarizations phenomena that can represent impairments to the high data transmission networks. This emulator was used to perform an analysis of the correlation between the PMD and SOPMD under different climate chamber temperature.

This paper presents a modification for the already consolidated analytical model that calculates the gain and ripple in multi-pump Raman amplifiers by considering energy conservation. The original analytical model precisely computes the pump-pump interaction to the C- and L-band for a WDM input signal. However, when this method is used to amplify a large bandwidth, as the entire C and a part of the L band, the increase in the number of pump lasers impacts the obtained results. The error, if compared with results obtained by a numerical method, becomes significant. An analysis in terms of energy is proposed to minimize the discrepancy between analytical and numerical results. An improvement is observed to the gain results.

In this paper, we explicitly show a complete analysis and detailed calculation of propagation characteristics of the effective refractive indices of the core and cladding for a long period grating employing both the Two-Layer and Three-Layer Geometries. The results are achieved employing graphical solution methods and presented in terms of the effective refractive indices of the core and cladding. Then, we compare the results with OptiGrating (Optiwave Systems Inc., Ottawa, Canada). Finally, we point the best model to evaluate the effective refractive indices, avoiding incorrect designs of the long period gratings.

In this work, we propose and experimentally validate a novel optical fiber-based sensor for monitoring and assessing electric current in unmanned aerial vehicles electric motors. The proposed sensing technology combines a Long-Period Fiber Grating sensor and a permanent Neodymium magnet, providing a small and flexible sensing scheme deployed inside the arm of the drone. The experimental results show that good accuracy and linear electric current sensitivity of 0.21 A and 2.08 A/nm, respectively, were achieved with electric current measurements at a 100 Hz sampling rate. The values of hysteresis and repeatability achieved were 0.08 A and 0.22 A, respectively. Finally, a Robot Operating System package for interfacing with the sensing system was developed and tested, which greatly simplifies the deployment of the sensor in robotics applications.

In this article, the development of a controllable and compact polarization mode dispersion (PMD) emulator device, based on piezoelectric actuators, is presented. Using this device, the first- and second-order PMD is reproduced in a controlled and compact way, allowing its use as a reliable metrological reference for PMD compensators. © 2015 Wiley Periodicals, Inc. Microwave Opt Technol Lett 57:765–769, 2015

This paper presents a historical review of the many behavioral models actually used to model radio frequency power amplifiers and a new classification of these behavioral models. It also discusses the evolution of these models, from a single polynomial to multirate Volterra models, presenting equations and estimation methods. New trends in RF power amplifier behavioral modeling are suggested.

Optical fiber sensors have become a popular alternative to traditional electronic sensors due to their numerous advantages. An important challenge in deploying optical sensors is the interrogation of the sensor, that is, recovering the measured value from the sensor output. This paper aims to present a simple yet effective way of interrogating a fiber Bragg grating (FBG) temperature sensor using optical filters and an artificial neural network (ANN). This interrogation system is capable of giving the precise temperature value without directly measuring the resonance wavelength shift or performing any Fourier calculations. The network was implemented and the training was accomplished using simulated data. Simulated results are presented and compared to traditional methods of interrogation. The system proposed in this paper showed excellent performance in identifying the temperature from the sensor output and showed more precision than the traditional method.

This article discusses the implementation of a wide band vectorial digital modulator and a tool to evaluate the Bit Error Rate. This modulator is capable of generate a wide band (up to 6.3 MHz) 16-QAM modulation in baseband. A second functionality programmed in the tool and reported in this article evaluates the Bit Error rate in order to measure the received signal quality. Results are validated using a Signal Analyzer.