cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.6084/m9.figshare.5772516.v1
title: Screen-based sedentary behaviors, mental health, and social relationships among adolescents

description: Abstract Aim: To analyze the association between screen-based sedentary behaviors, mental health, and social relationships in Brazilian adolescents. Methods: A representative sample of the adolescents from Londrina/PR was selected (n = 1,158; 10 to 17 y). Weekday and weekend screen time (TV-viewing and computer/video-game), mental health indicators (self-rated health, stress, feelings of sadness, and satisfaction with own body), and perceived social relationships (friends, family, and teachers) were collected through questionnaires. Somatic maturation, body mass index, and physical activity were assessed as covariates. Results: Adolescents who reported higher TV-viewing presented higher odds (p &lt; 0.05) for poor self-rated health (boys), higher stress (both sexes), and dissatisfaction with own body (boys), friendships (girls), and teachers (girls). In contrast, higher computer/video-game use was associated with lower odds (p &lt; 0.05) for poor self-rated health (girls), higher stress (boys), feelings of sadness (both sexes), and dissatisfaction with friends (both sexes) and family (both sexes). Conclusion: While higher TV-viewing is associated with negative outcomes, higher computer/video-game users demonstrate better mental health and lower satisfaction with their social relationships.
DOI: 10.6084/m9.figshare.5772513
title: Design of Waveguide Structures Using Improved Neural Networks

description: Abstract In this paper, an improved neural networks (INN) strategy is proposed to design two waveguide filters (Pseudo-elliptic waveguide filter and Broad-band e-plane filters with improved stop-band). INN is trained by an efficient optimization algorithm called teaching–learning-based optimization (TLBO). To validate the effective of this proposed strategy, we compared the results of convergence and modeling obtained with a population based algorithm that is widely used in training NN namely Particle Swarm Optimization (PSO-NN). The results show that the proposed INN has given better results.
DOI: 10.6084/m9.figshare.5772513.v1
title: Design of Waveguide Structures Using Improved Neural Networks

description: Abstract In this paper, an improved neural networks (INN) strategy is proposed to design two waveguide filters (Pseudo-elliptic waveguide filter and Broad-band e-plane filters with improved stop-band). INN is trained by an efficient optimization algorithm called teaching–learning-based optimization (TLBO). To validate the effective of this proposed strategy, we compared the results of convergence and modeling obtained with a population based algorithm that is widely used in training NN namely Particle Swarm Optimization (PSO-NN). The results show that the proposed INN has given better results.
DOI: 10.6084/m9.figshare.5772510
title: Individual and average responses of sleep quality and daytime sleepiness after four weeks of strength training in adolescents

description: Abstract Aims: To analyze the average and individual responses of sleep quality and daytime sleepiness in adolescents after four weeks of strength training. Methods: 19 adolescents with sleep problems recruited in the Federal Institute of Pernambuco, were subject to anthropometric evaluations as well as those for body composition assessment, a 1 repetition maximum test, the sleep parameters (Pittsburgh Sleep Quality Index-PSQI and Epworth Sleepiness Scale-ESS) and were submitted to four weeks of strength-training, performed alternately by segment, two sessions per week, according to recommendations for this population. Results: A decrease in the average PSQI score was observed (10.3±3.3 vs 8.8±4.0; p=0.006), but not in ESS (p&gt;0.05), after intervention. The individual analyses demonstrated that ~63% of adolescents experienced reductions ≥ 3 points in the PSQI and ~58% of them experienced reductions ≥ 3 points in the measure of daytime sleepiness. The prevalence of poor sleep quality and daytime sleepiness reduced from 84.2% to 68.4% and from 52.6% to 31.6%, respectively. The comparisons of high and low responders to exercise training show that adolescents who reduced ≥3 points in the score of a least one sleep parameter presented lower weight, fat mass, and fat percentage (p&lt;0.05). Conclusion: A short-term strength-training program is able to improve global sleep quality, but not daytime sleepiness in adolescents. Furthermore, the changes after training are highly heterogeneous. Further studies are required to better understand the effects of strength training on sleep parameters of adolescents.
DOI: 10.6084/m9.figshare.5772510.v1
title: Individual and average responses of sleep quality and daytime sleepiness after four weeks of strength training in adolescents

description: Abstract Aims: To analyze the average and individual responses of sleep quality and daytime sleepiness in adolescents after four weeks of strength training. Methods: 19 adolescents with sleep problems recruited in the Federal Institute of Pernambuco, were subject to anthropometric evaluations as well as those for body composition assessment, a 1 repetition maximum test, the sleep parameters (Pittsburgh Sleep Quality Index-PSQI and Epworth Sleepiness Scale-ESS) and were submitted to four weeks of strength-training, performed alternately by segment, two sessions per week, according to recommendations for this population. Results: A decrease in the average PSQI score was observed (10.3±3.3 vs 8.8±4.0; p=0.006), but not in ESS (p&gt;0.05), after intervention. The individual analyses demonstrated that ~63% of adolescents experienced reductions ≥ 3 points in the PSQI and ~58% of them experienced reductions ≥ 3 points in the measure of daytime sleepiness. The prevalence of poor sleep quality and daytime sleepiness reduced from 84.2% to 68.4% and from 52.6% to 31.6%, respectively. The comparisons of high and low responders to exercise training show that adolescents who reduced ≥3 points in the score of a least one sleep parameter presented lower weight, fat mass, and fat percentage (p&lt;0.05). Conclusion: A short-term strength-training program is able to improve global sleep quality, but not daytime sleepiness in adolescents. Furthermore, the changes after training are highly heterogeneous. Further studies are required to better understand the effects of strength training on sleep parameters of adolescents.
DOI: 10.6084/m9.figshare.5772504
title: Trends in television and computer/videogame use and total screen time in high school students from Caruaru city, Pernambuco, Brazil: A repeated panel study between 2007 and 2012

description: Abstract Aim: to analyze the pattern and trends of use of screen-based devices and associated factors from two surveys conducted on public high school students in Caruaru-PE. Methods: two representative school-based cross-sectional surveys conducted in 2007 (n=600) and 2012 (n=715) on high school students (15-20 years old). The time of exposure to television (TV) and computer/videogames PC/VG was obtained through a validated questionnaire, and ≥3 hours/day was considered as being excessive exposure. The independent variables were socioeconomic status, school related, and physical activity. Crude and adjusted binary logistic regression were employed to examine the factors associated with screen time. The statistical significance was set at p&lt;0.05. Results: There was a significant reduction in TV time on weekdays and total weekly, but no change in the prevalence of excessive exposure. The proportion of exposure to PC/VG of ≥3 hours/day increased 182.5% on weekdays and 69.5% on weekends (p &lt;0.05). In 2007, being physically active was the only protection factor for excessive exposure to total screen time. In 2012, girls presented less chance of excessive exposure to all screen-based devices and total screen time. Other protective factors were studying at night and being physically active (PC/VG time), while residing in an urban area [OR 5.03(2.77-7.41)] and having higher family income [OR 1.55(1.04-2.30)] were risk factors. Conclusion: Significant and important changes in the time trends and pattern of use PC/VG were observed during the interval of 5 years. This rapid increase could be associated with increased family income and improved access to these devices, driven by technological developments.
DOI: 10.6084/m9.figshare.5772504.v1
title: Trends in television and computer/videogame use and total screen time in high school students from Caruaru city, Pernambuco, Brazil: A repeated panel study between 2007 and 2012

description: Abstract Aim: to analyze the pattern and trends of use of screen-based devices and associated factors from two surveys conducted on public high school students in Caruaru-PE. Methods: two representative school-based cross-sectional surveys conducted in 2007 (n=600) and 2012 (n=715) on high school students (15-20 years old). The time of exposure to television (TV) and computer/videogames PC/VG was obtained through a validated questionnaire, and ≥3 hours/day was considered as being excessive exposure. The independent variables were socioeconomic status, school related, and physical activity. Crude and adjusted binary logistic regression were employed to examine the factors associated with screen time. The statistical significance was set at p&lt;0.05. Results: There was a significant reduction in TV time on weekdays and total weekly, but no change in the prevalence of excessive exposure. The proportion of exposure to PC/VG of ≥3 hours/day increased 182.5% on weekdays and 69.5% on weekends (p &lt;0.05). In 2007, being physically active was the only protection factor for excessive exposure to total screen time. In 2012, girls presented less chance of excessive exposure to all screen-based devices and total screen time. Other protective factors were studying at night and being physically active (PC/VG time), while residing in an urban area [OR 5.03(2.77-7.41)] and having higher family income [OR 1.55(1.04-2.30)] were risk factors. Conclusion: Significant and important changes in the time trends and pattern of use PC/VG were observed during the interval of 5 years. This rapid increase could be associated with increased family income and improved access to these devices, driven by technological developments.
DOI: 10.6084/m9.figshare.5772492
title: Influence of the deposition temperature on the properties of copper and indium diselenete films deposited by spray-pyrolysis

description: ABSTRACT The Cu0.6In0.4Se2 films were deposited on a glass substrate by the spray-pyrolysis technique, for use as a photovoltaic cell absorber layer. The following deposition parameters were adopted: substrate temperature between 250 and 400ºC, precursor solution flow of 1 mL/min and deposition time of 30 min. The structural, electrical, morphological and optical properties of the prepared films were analyzed as a function of substrate temperature variation. X-ray diffraction analysis showed that the most intense peaks are oriented (204/220) and that the films have CuSe, CuSe2 and CuInSe2 phases. . For the electric conduction process, a single activation energy with an average value of 0.73 eV was observed. Sheet resistance ranged from 0.277 to 0.576 MΩ/□. The values of electrical resistivity presented small variations having an average value of 1.44 KΩm. The analysis of the morphology of the films made by confocal microscopy revealed that in general the samples presented no cracks, and the surfaces of films with higher deposition temperature were more uniform. The optical characterization was performed in the wavelength range of 350 to 1100 nm and the films had an absorption coefficient in the order of 103 cm-1 at the wavelength of 550 nm and optical gap with an average value of 1.5 eV.
DOI: 10.6084/m9.figshare.5772492.v1
title: Influence of the deposition temperature on the properties of copper and indium diselenete films deposited by spray-pyrolysis

description: ABSTRACT The Cu0.6In0.4Se2 films were deposited on a glass substrate by the spray-pyrolysis technique, for use as a photovoltaic cell absorber layer. The following deposition parameters were adopted: substrate temperature between 250 and 400ºC, precursor solution flow of 1 mL/min and deposition time of 30 min. The structural, electrical, morphological and optical properties of the prepared films were analyzed as a function of substrate temperature variation. X-ray diffraction analysis showed that the most intense peaks are oriented (204/220) and that the films have CuSe, CuSe2 and CuInSe2 phases. . For the electric conduction process, a single activation energy with an average value of 0.73 eV was observed. Sheet resistance ranged from 0.277 to 0.576 MΩ/□. The values of electrical resistivity presented small variations having an average value of 1.44 KΩm. The analysis of the morphology of the films made by confocal microscopy revealed that in general the samples presented no cracks, and the surfaces of films with higher deposition temperature were more uniform. The optical characterization was performed in the wavelength range of 350 to 1100 nm and the films had an absorption coefficient in the order of 103 cm-1 at the wavelength of 550 nm and optical gap with an average value of 1.5 eV.
DOI: 10.6084/m9.figshare.5772486
title: Energy Efficient Rate Adaptation Algorithm for FiWi Access Network

description: Abstract Similar to any telecommunication network, energy efficiency is a desirable feature for fiber wireless (FiWi) access networks. These networks have optical back end and wireless front end. Both ends may contribute for energy efficiency. This work focuses on front end of FiWi access network, which is IEEE 802.11a wireless local area network (WLAN). For energy saving WLAN uses power saving mode (PSM), in which sleeping opportunity of a station is increased. During sleep time, station remains switched off and results in reduction in energy required. However, it is also observed that during active period of transmission considerable energy is consumed, which is the function of rate of data transmission. More data rate results in more active energy consumption but less transmission delay and vice versa. In order to reduce active and hence total energy consumption, we tried to transmit the data at lower data rate, while maintaining transmission delay in tolerable limit. This paper presents an Energy Efficient Rate Adaptation Algorithm (EERAA) for the front end of fiber wireless access networks. Simulation results compare the energy efficiency and transmission delay of EERAA and various existing fixed data rate schemes. Proposed scheme offers good trade-off between energy efficiency and transmission delay.
DOI: 10.6084/m9.figshare.5772486.v1
title: Energy Efficient Rate Adaptation Algorithm for FiWi Access Network

description: Abstract Similar to any telecommunication network, energy efficiency is a desirable feature for fiber wireless (FiWi) access networks. These networks have optical back end and wireless front end. Both ends may contribute for energy efficiency. This work focuses on front end of FiWi access network, which is IEEE 802.11a wireless local area network (WLAN). For energy saving WLAN uses power saving mode (PSM), in which sleeping opportunity of a station is increased. During sleep time, station remains switched off and results in reduction in energy required. However, it is also observed that during active period of transmission considerable energy is consumed, which is the function of rate of data transmission. More data rate results in more active energy consumption but less transmission delay and vice versa. In order to reduce active and hence total energy consumption, we tried to transmit the data at lower data rate, while maintaining transmission delay in tolerable limit. This paper presents an Energy Efficient Rate Adaptation Algorithm (EERAA) for the front end of fiber wireless access networks. Simulation results compare the energy efficiency and transmission delay of EERAA and various existing fixed data rate schemes. Proposed scheme offers good trade-off between energy efficiency and transmission delay.
DOI: 10.6084/m9.figshare.5772483
title: Epidemiologic analysis of temporal evolution of papaya sticky disease

description: ABSTRACT Analysis of temporal evolution of papaya sticky disease provides subsidies to understand the etiology, verify the dispersion and generate information about the influence of cultural, biological and environmental factors on the population dynamics of the pathogen/disease, providing data for the design of disease management strategies. Thus, the aim of this study was to characterize the temporal evolution in plants affected by papaya sticky disease in commercial orchards at Linhares Municipality, north of Espírito Santo State, Brazil. The experiment was conducted in commercial fields of papaya cv. ‘Sunrise Golden’, where the disease intensity was assessed in each orchard and, at the end, disease progress curves were generated. The data of curves were subjected to simple linear regression analysis, adjusted to the empirical models Logistic, Monomolecular and Gompertz. The most favorable period of the year for the disease development were colder and dry months, while the warmest and wettest months favored the mitigation of symptoms. Finally, the model that best fitted to the papaya sticky disease epidemics was the Gompertz model.
DOI: 10.6084/m9.figshare.5772480
title: Fat-containing liver lesions: a pictorial review

description: Abstract The aim of this pictorial essay is to review the spectrum of fat-containing liver lesions and their characterisation on magnetic resonance imaging with focus on the radiological features that aid in the differential diagnoses. Fat-containing liver lesions comprise a heterogeneous group of tumours with variable imaging findings. Magnetic resonance imaging clearly displays the micro- and macroscopic fat components of the lesions and other characteristic features that are helpful tools to make the differential diagnosis.
DOI: 10.6084/m9.figshare.5772480.v1
title: Fat-containing liver lesions: a pictorial review

description: Abstract The aim of this pictorial essay is to review the spectrum of fat-containing liver lesions and their characterisation on magnetic resonance imaging with focus on the radiological features that aid in the differential diagnoses. Fat-containing liver lesions comprise a heterogeneous group of tumours with variable imaging findings. Magnetic resonance imaging clearly displays the micro- and macroscopic fat components of the lesions and other characteristic features that are helpful tools to make the differential diagnosis.
DOI: 10.6084/m9.figshare.5772477
title: A neural network - based algorithm for predicting stone -free status after ESWL therapy

description: ABSTRACT Objective: The prototype artificial neural network (ANN) model was developed using data from patients with renal stone, in order to predict stone-free status and to help in planning treatment with Extracorporeal Shock Wave Lithotripsy (ESWL) for kidney stones. Materials and Methods: Data were collected from the 203 patients including gender, single or multiple nature of the stone, location of the stone, infundibulopelvic angle primary or secondary nature of the stone, status of hydronephrosis, stone size after ESWL, age, size, skin to stone distance, stone density and creatinine, for eleven variables. Regression analysis and the ANN method were applied to predict treatment success using the same series of data. Results: Subsequently, patients were divided into three groups by neural network software, in order to implement the ANN: training group (n=139), validation group (n=32), and the test group (n=32). ANN analysis demonstrated that the prediction accuracy of the stone-free rate was 99.25% in the training group, 85.48% in the validation group, and 88.70% in the test group. Conclusions: Successful results were obtained to predict the stone-free rate, with the help of the ANN model designed by using a series of data collected from real patients in whom ESWL was implemented to help in planning treatment for kidney stones.
DOI: 10.6084/m9.figshare.5772477.v1
title: A neural network - based algorithm for predicting stone -free status after ESWL therapy

description: ABSTRACT Objective: The prototype artificial neural network (ANN) model was developed using data from patients with renal stone, in order to predict stone-free status and to help in planning treatment with Extracorporeal Shock Wave Lithotripsy (ESWL) for kidney stones. Materials and Methods: Data were collected from the 203 patients including gender, single or multiple nature of the stone, location of the stone, infundibulopelvic angle primary or secondary nature of the stone, status of hydronephrosis, stone size after ESWL, age, size, skin to stone distance, stone density and creatinine, for eleven variables. Regression analysis and the ANN method were applied to predict treatment success using the same series of data. Results: Subsequently, patients were divided into three groups by neural network software, in order to implement the ANN: training group (n=139), validation group (n=32), and the test group (n=32). ANN analysis demonstrated that the prediction accuracy of the stone-free rate was 99.25% in the training group, 85.48% in the validation group, and 88.70% in the test group. Conclusions: Successful results were obtained to predict the stone-free rate, with the help of the ANN model designed by using a series of data collected from real patients in whom ESWL was implemented to help in planning treatment for kidney stones.
DOI: 10.6084/m9.figshare.5772474
title: Water quality evaluation of Tibagi river before the filling of Mauá HPP reservoir, using factor analysis

description: ABSTRACT Ecosystems affected by the formation of reservoirs are subjected to compulsory monitoring before, during and after the construction of the power plant. These monitoring programs generate large database that aim to satisfy environmental licensing conditions, as well as the management of water resources. In order to generate information that would facilitate the management of water resources, this study aimed to evaluate the quality of Tibagi river water located in Paraná State, Brazil, before the construction of the Mauá hydroelectric power plant (HPP). Data from four of the eight stations described in the Limnological Conditions Monitoring Program of the Tibagi river described in the HPP’s Basic Environmental Plan were analyzed. The selected data comprises the period between December 2009 and April 2012, before the HPP installation. In general, the retained factors demonstrated the anthropogenic influence on the water resources. Even with a small variation in the composition of the factor 1 in the monitored stations, this factor was especially characterized by the variables: total phosphorus, total solids, and fecal coliforms. The presence of fecal coliforms in the factor’s composition is a common indicator of pollution from untreated domestic sewage. The same applies to total phosphorus, which, as well as the total solids, can also be related to the inappropriate land use in the vicinity.