bluuebunny/crossref_metadata_2025 huggingface dataset:
Anisotropic Diffusion Based Multiplicative Speckle Noise Removal
Authors: Gao Mei , Kang Baosheng , Feng Xiangchu , Zhang Wei , Zhang Wenjuan
Published: July 2019

Multiplicative speckle noise removal is a challenging task in image processing. Motivated by the performance of anisotropic diffusion in additive noise removal and the structure of the standard deviation of a compressed speckle noisy image, we address this problem with anisotropic diffusion theories. Firstly, an anisotropic diffusion model based on image statistics, including information on the gradient of the image, gray levels, and noise standard deviation of the image, is proposed. Although the proposed model can effectively remove multiplicative speckle noise, it does not consider the noise at the edge during the denoising process. Hence, we decompose the divergence term in order to make the diffusion at the edge occur along the boundaries rather than perpendicular to the boundaries, and improve the model to meet our requirements. Secondly, the iteration stopping criteria based on kurtosis and correlation in view of the lack of ground truth in real image experiments, is proposed. The optimal values of the parameters in the model are obtained by learning. To improve the denoising effect, post-processing is performed. Finally, the simulation results show that the proposed model can effectively remove the speckle noise and retain minute details of the images for the real ultrasound and RGB color images.
A Blockchain Framework for Securing Connected and Autonomous Vehicles
Authors: Rathee Geetanjali , Sharma Ashutosh , Iqbal Razi , Aloqaily Moayad , Jaglan Naveen , Kumar Rajiv
Published: July 2019

Recently, connected vehicles (CV) are becoming a promising research area leading to the concept of CV as a Service (CVaaS). With the increase of connected vehicles and an exponential growth in the field of online cab booking services, new requirements such as secure, seamless and robust information exchange among vehicles of vehicular networks are emerging. In this context, the original concept of vehicular networks is being transformed into a new concept known as connected and autonomous vehicles. Autonomous vehicular use yields a better experience and helps in reducing congestion by allowing current information to be obtained by the vehicles instantly. However, malicious users in the internet of vehicles may mislead the whole communication where intruders may compromise smart devices with the purpose of executing a malicious ploy. In order to prevent these issues, a blockchain technique is considered the best technique that provides secrecy and protection to the control system in real time conditions. In this paper, the issue of security in smart sensors of connected vehicles that can be compromised by expert intruders is addressed by proposing a blockchain framework. This study has further identified and validated the proposed mechanism based on various security criteria, such as fake requests of the user, compromise of smart devices, probabilistic authentication scenarios and alteration in stored user’s ratings. The results have been analyzed against some existing approach and validated with improved simulated results that offer 79% success rate over the above-mentioned issues.
Lane Detection Algorithm for Intelligent Vehicles in Complex Road Conditions and Dynamic Environments
Authors: Cao Jingwei , Song Chuanxue , Song Shixin , Xiao Feng , Peng Silun
Published: July 2019

Lane detection is an important foundation in the development of intelligent vehicles. To address problems such as low detection accuracy of traditional methods and poor real-time performance of deep learning-based methodologies, a lane detection algorithm for intelligent vehicles in complex road conditions and dynamic environments was proposed. Firstly, converting the distorted image and using the superposition threshold algorithm for edge detection, an aerial view of the lane was obtained via region of interest extraction and inverse perspective transformation. Secondly, the random sample consensus algorithm was adopted to fit the curves of lane lines based on the third-order B-spline curve model, and fitting evaluation and curvature radius calculation were then carried out on the curve. Lastly, by using the road driving video under complex road conditions and the Tusimple dataset, simulation test experiments for lane detection algorithm were performed. The experimental results show that the average detection accuracy based on road driving video reached 98.49%, and the average processing time reached 21.5 ms. The average detection accuracy based on the Tusimple dataset reached 98.42%, and the average processing time reached 22.2 ms. Compared with traditional methods and deep learning-based methodologies, this lane detection algorithm had excellent accuracy and real-time performance, a high detection efficiency and a strong anti-interference ability. The accurate recognition rate and average processing time were significantly improved. The proposed algorithm is crucial in promoting the technological level of intelligent vehicle driving assistance and conducive to the further improvement of the driving safety of intelligent vehicles.
Green Hydrothermal Synthesis of N-doped Carbon Dots from Biomass Highland Barley for the Detection of Hg2+
Authors: Xie Yadian , Cheng Dandan , Liu Xingliang , Han Aixia
Published: July 2019

Totally water-soluble N-doped Carbon dots (N-CDs) were synthesized by a green hydrothermal method from biomass using Highland barley as a carbon source and ethanediamine as nitrogen source. TEM and XRD showed the graphitic amorphous structure and narrow diameter distribution of these N-CDs. N-doping to the crystal lattice and carrying many hydrophilic groups on the surface of N-CDs were verified by XPS and FT-IR. The as-synthesized N-CDs emitted strong blue fluorescence at 480 nm and owned a relatively high quantum yield of 14.4%. The product also could sensitively and selectively detect Hg2+ ions in the range of 10–160 μM and the limit of detection was equal to 0.48 μM.
Real-Time Surface EMG Pattern Recognition for Hand Gestures Based on an Artificial Neural Network
Authors: Zhang Zhen , Yang Kuo , Qian Jinwu , Zhang Lunwei
Published: July 2019

In recent years, surface electromyography (sEMG) signals have been increasingly used in pattern recognition and rehabilitation. In this paper, a real-time hand gesture recognition model using sEMG is proposed. We use an armband to acquire sEMG signals and apply a sliding window approach to segment the data in extracting features. A feedforward artificial neural network (ANN) is founded and trained by the training dataset. A test method is used in which the gesture will be recognized when recognized label times reach the threshold of activation times by the ANN classifier. In the experiment, we collected real sEMG data from twelve subjects and used a set of five gestures from each subject to evaluate our model, with an average recognition rate of 98.7% and an average response time of 227.76 ms, which is only one-third of the gesture time. Therefore, the pattern recognition system might be able to recognize a gesture before the gesture is completed.
An Enhanced Distributed Data Aggregation Method in the Internet of Things
Authors: Homaei Mohammad Hossein , Salwana Ely , Shamshirband Shahaboddin
Published: July 2019

“Internet of Things (IoT)” has emerged as a novel concept in the world of technology and communication. In modern network technologies, the capability of transmitting data through data communication networks (such as Internet or intranet) is provided for each organism (e.g., human beings, animals, things, and so forth). Due to the limited hardware and operational communication capability as well as small dimensions, IoT undergoes several challenges. Such inherent challenges not only cause fundamental restrictions in the efficiency of aggregation, transmission, and communication between nodes; but they also degrade routing performance. To cope with the reduced availability time and unstable communications among nodes, data aggregation, and transmission approaches in such networks are designed more intelligently. In this paper, a distributed method is proposed to set child balance among nodes. In this method, the height of the network graph increased through restricting the degree; and network congestion reduced as a result. In addition, a dynamic data aggregation approach based on Learning Automata was proposed for Routing Protocol for Low-Power and Lossy Networks (LA-RPL). More specifically, each node was equipped with learning automata in order to perform data aggregation and transmissions. Simulation and experimental results indicate that the LA-RPL has better efficiency than the basic methods used in terms of energy consumption, network control overhead, end-to-end delay, loss packet and aggregation rates.
A Machine-Learning Approach to Distinguish Passengers and Drivers Reading While Driving
Authors: Torres Renato , Ohashi Orlando , Pessin Gustavo
Published: July 2019

Driver distraction is one of the major causes of traffic accidents. In recent years, given the advance in connectivity and social networks, the use of smartphones while driving has become more frequent and a serious problem for safety. Texting, calling, and reading while driving are types of distractions caused by the use of smartphones. In this paper, we propose a non-intrusive technique that uses only data from smartphone sensors and machine learning to automatically distinguish between drivers and passengers while reading a message in a vehicle. We model and evaluate seven cutting-edge machine-learning techniques in different scenarios. The Convolutional Neural Network and Gradient Boosting were the models with the best results in our experiments. Results show accuracy, precision, recall, F1-score, and kappa metrics superior to 0.95.
Variance-Triggered Two-Step GPS Acquisition
Authors: Costa Fabrício , Albuquerque Glauberto Leilson , Silveira Luiz Felipe , Valderrama Carlos , Xavier-de-Souza Samuel
Published: July 2019

The acquisition is the most time-consuming step performed by a Global Navigation Satellite System (GNSS) receiver. The objective is to detect which satellites are transmitting and what are the phase and Doppler frequency shift of the signal. It is the step with the highest computational complexity, especially for signals subjected to large Doppler shifts. Improving acquisition performance has a large impact on the overall performance of the GNSS reception. In this paper, we present a two-step Global Positioning System (GPS) acquisition algorithm whose first step performs an incremental correlation to find a coarse pair of phase and frequency and the second step, triggered by the variance of the largest correlation values, refines the first step. The proposed strategy, based on the conventional time-domain serial algorithm, reduces the average execution time of the acquisition process to about 1/5 of the conventional acquisition while keeping the same modest logic hardware requirements and slightly better success and false-positive rates. Additionally, the new method reduces memory usage by a factor that is proportional to the signal’s sampling frequency. All these advantages over conventional acquisition contribute together to significantly improve the overall performance and cost of GPS receivers.
Agglomeration, Structural Embeddedness, and Enterprises’ Innovation Performance: An Empirical Study of Wuhan Biopharmaceutical Industrial Cluster Network
Authors: Zeng Jingjing , Liu Dingjie , Yi Hongtao
Published: July 2019

Industry cluster’s agglomeration effects facilitate higher productivity for enterprises located in the industry cluster. This paper examines the agglomeration effects of industry cluster on firm’s innovation performance through studying the network embeddedness of the biopharmaceutical companies using cross-sectional data from 2011 to 2015. Measuring the technological cooperation network with text analysis of the interfirm agreement among core enterprises, we found that betweenness centrality and clustering coefficient have statistically significant and positive effects on enterprise’s ability for technological innovation, while the influence from the constraint of structural holes is negative. Our results suggest that government should allow the leading enterprises to establish professional technology cooperation platforms and provide additional support to promote cooperation among firms.
Mapping Obesogenic Food Environments in South Africa and Ghana: Correlations and Contradictions
Authors: Kroll Florian , Swart Elizabeth Catherina , Annan Reginald Adjetey , Thow Anne Marie , Neves David , Apprey Charles , Aduku Linda Nana Esi , Agyapong Nana Ama Frimpomaa , Moubarac Jean-Claude , Toit Andries du , Aidoo Robert , Sanders David
Published: July 2019

In sub-Saharan Africa, urbanisation and food systems change contribute to rapid dietary transitions promoting obesity. It is unclear to what extent these changes are mediated by neighbourhood food environments or other factors. This paper correlates neighbourhood food provision with household consumption and poverty in Khayelitsha, South Africa and Ahodwo, Ghana. Georeferenced survey data of food consumption and provision were classified by obesity risk and protection. Outlets were mapped, and density and distribution correlated with risk classes. In Khayelitsha, 71% of households exceeded dietary obesity risk thresholds while 16% consumed protective diets. Obesogenic profiles were less (26%) and protective more prevalent (23%) in Ahodwo despite greater income poverty in Khayelitsha. Here, income-deprived households consumed significantly (p < 0.005) less obesogenic and protective diets. Small informal food outlets dominated numerically but supermarkets were key household food sources in Khayelitsha. Although density of food provision in Ahodwo was higher (76/km2), Khayelitsha outlets (61/km2) provided greater access to obesogenic (57% Khayelitsha; 39% Ahodwo) and protective (43% Khayelitsha; 16% Ahodwo) foods. Consumption and provision profiles correlate more strongly in Ahodwo than Khayelitsha (rKhayelitsha = 0.624; rAhodwo = 0.862). Higher obesogenic food consumption in Khayelitsha suggests that risky food environments and poverty together promote obesogenic diets.
China’s Provincial Vehicle Ownership Forecast and Analysis of the Causes Influencing the Trend
Authors: Ma Lin , Wu Manhua , Tian Xiujuan , Zheng Guanheng , Du Qinchuan , Wu Tian
Published: July 2019

The growth of vehicle ownership not only brings opportunity for the economy, but also brings environment and transport problems, which is not good for sustainable transportation. It is of great significance to build supporting infrastructure and other services based on accurate forecasts of vehicle ownership in various provinces because of the variance of economic development stages, the carrying capacity of resources, and different degrees of transport planning in each province. We used the Gompertz model in order to predict China’s provincial vehicle ownership from 2018 to 2050. Considering the impact of the population structure, we summed up the growth rate of GDP per labor, the growth rate of population and the growth rate of employment rate to get the growth rate of GDP and then the GDP per capita of each province. We found that the vehicle ownership in each province will grow rapidly in the next 30 years; however, the change in the ranking of vehicle ownership among provinces varies. The ranking of some provinces with high or middle ranking now will decline in the following years, especially Beijing, Tianjin, Shanghai and Xinjiang. While the ranking of some provinces that locates in the middle and low ranking now will increase, such as Chongqing, Hubei, Anhui, Sichuan, Heilongjiang, Jiangxi, Hunan and Guangxi. We also investigate the reasons that affect the trend in each province and we find that the suitable vehicle growth pattern of each province, the stage of economic development and government policy, which are related to the growth rate of GDP per labor, employment rate, and GDP per capita, can affect vehicle ownership in the future.
An Optimization Framework for Codes Classification and Performance Evaluation of RISC Microprocessors
Authors: Naqvi Syed Rameez , Roman Ali , Akram Tallha , Alhaisoni Majed M. , Naeem Muhammad , Haider Sajjad Ali , Chughtai Omer , Awais Muhammad
Published: July 2019

Pipelines, in Reduced Instruction Set Computer (RISC) microprocessors, are expected to provide increased throughputs in most cases. However, there are a few instructions, and therefore entire assembly language codes, that execute faster and hazard-free without pipelines. It is usual for the compilers to generate codes from high level description that are more suitable for the underlying hardware to maintain symmetry with respect to performance; this, however, is not always guaranteed. Therefore, instead of trying to optimize the description to suit the processor design, we try to determine the more suitable processor variant for the given code during compile time, and dynamically reconfigure the system accordingly. In doing so, however, we first need to classify each code according to its suitability to a different processor variant. The latter, in turn, gives us confidence in performance symmetry against various types of codes—this is the primary contribution of the proposed work. We first develop mathematical performance models of three conventional microprocessor designs, and propose a symmetry-improving nonlinear optimization method to achieve code-to-design mapping. Our analysis is based on four different architectures and 324,000 different assembly language codes, each with between 10 and 1000 instructions with different percentages of commonly seen instruction types. Our results suggest that in the sub-micron era, where execution time of each instruction is merely in a few nanoseconds, codes accumulating as low as 5% (or above) hazard causing instructions execute more swiftly on processors without pipelines.
Genome Analysis of A Novel South African Cydia pomonella granulovirus (CpGV-SA) with Resistance-Breaking Potential
Authors: Motsoeneng Boitumelo , Jukes Michael D. , Knox Caroline M. , Hill Martin P. , Moore Sean D.
Published: July 2019

The complete genome of an endemic South African Cydia pomonella granulovirus isolate was sequenced and analyzed. Several missing or truncated open reading frames (ORFs) were identified, including a 24 bp deletion in the pe38 gene which is reported to be associated with type I resistance-breaking potential. Comparison of single nucleotide polymorphisms (SNPs) with five other fully sequenced CpGV isolates identified 67 unique events, 47 of which occurred within ORFs, leading to several amino acid changes. Further analysis of single nucleotide variations (SNVs) within CpGV-SA revealed that this isolate consists of mixed genotypes. Phylogenetic analysis using complete genome sequences placed CpGV-SA basal to M, I12 and E2 and distal to S and I07 but with no distinct classification into any of the previously defined CpGV genogroups. These results suggest that CpGV-SA is a novel and genetically distinct isolate with significant potential as a biopesticide for management of codling moth (CM), not only in South Africa, but potentially in other pome fruit producing countries, particularly where CM resistance to CpGV has been reported.
Genetic Variation and Biological Activity of Two Closely Related Alphabaculoviruses during Serial Passage in Permissive and Semi-Permissive Heterologous Hosts
Authors: Belda Isabel M. , Beperet Inés , Williams Trevor , Caballero Primitivo
Published: July 2019

Phylogenetic analyses suggest that Mamestra brassicae multiple nucleopolyhedrovirus (MbMNPV) and Helicoverpa armigera multiple nucleopolyhedrovirus (HearMNPV) may be strains of the same virus species. Most of the studies comparing their biological activities have been performed in their homologous hosts. A comparison of host range and stability in alternative hosts was performed. The host range of these viruses was compared using high concentrations of inoculum to inoculate second instars of six species of Lepidoptera. One semi-permissive host (Spodoptera littoralis) and one permissive host (S. exigua) were then selected and used to perform six serial passages involving a concentration corresponding to the ~25% lethal concentration for both viruses. Restriction endonuclease analysis showed fragment length polymorphisms in every host-virus system studied. In S. littoralis, serial passage of MbMNPV resulted in decreased pathogenicity and an increase in speed-of-kill, whereas no significant changes were detected for HearMNPV with respect to the initial inoculum. In contrast, both viruses showed a similar trend in S. exigua. These results highlight the low genetic diversity and a high phenotypic stability of HearMNPV with respect to the original inoculum after six successive passages in both insect hosts. This study concludes that host-baculovirus interactions during serial passage are complex and the process of adaptation to a novel semi-permissive host is far from predictable.
Evaluation of Real-Time RT-PCR for Diagnostic Use in Detection of Puumala Virus
Authors: Niskanen Silja , Jääskeläinen Anne , Vapalahti Olli , Sironen Tarja
Published: July 2019

Puumala virus (PUUV) is the most common cause of hantavirus infection in Europe, with thousands of cases occurring particularly in Northern, Central and Eastern Europe and Russia. It causes a mild form of hemorrhagic fever with renal syndrome also known as nephropathia epidemica (NE) with clinical picture ranging from mild to severe. Currently, the laboratory diagnosis of NE is mainly based on serology. Here, we evaluated a real-time one-step qRT-PCR (PUUV-qRT-PCR) for detection of PUUV with 238 consecutive diagnostic serum samples from patients with suspected PUUV infection. The PUUV-qRT-PCR was both specific and sensitive for PUUV RNA. The analytical sensitivity (limit of detection) was estimated to be four copies of PUUV per reaction. Altogether 28 out of 30 (93%) PUUV IgM positive samples were positive also for PUUV RNA. No false positives were detected and the specificity was thus 100%. Interestingly, one sample was found positive in PUUV-qRT-PCR prior to subsequent IgM and IgG seroconversion. PUUV-qRT-PCR could be used for diagnostics in the early phase of NE infection and might be helpful especially in the rare severe cases when the patient’s condition may deteriorate rapidly.
Numerical Simulation of Deep Thermal Groundwater Exploitation in the Beijing Plain Area
Authors: Xu Zhongping , Zhou Xun , Chen Ruige , Shen Ye , Shang Ziqi , Hai Kuo
Published: July 2019

Thermal groundwater is relatively abundant in the deep-seated bedrock underlying the Beijing plain area. The main geothermal reservoir is composed of dolomites of the Wumishan Group of the Meso–Neoproterozic Jixian System. The thermal groundwater has been developed and utilized since the 1970s and significant declines in groundwater levels were observed. A 3D unsteady flow model of an anisotropic karst-fissure aquifer based on the equivalent continuum is used to describe the flow of thermal groundwater and heat transport. The heat transportation is described by the governing equation including convection and dispersion. The simulation of this paper aims to solve such problems as uneven distribution and thinness of the aquifer, insufficient initial monitoring data, and poor knowledge of the properties of the horizontal boundary. They are solved by considering vertical stratification of the aquifer with equal thickness, replacing initial water level data by surface elevation, and choosing natural boundary far away from the exploitation areas. Through a trial–error procedure, the simulated and measured groundwater level and temperature in the simulation period are well fitted. Three exploitation schemes are proposed to predict the spatial and temporal changes in groundwater level and temperature of the thermal groundwater in the study area. The prediction results show that the reinjection can effectively slow the decline in the thermal groundwater levels. Except for the Dongnanchengqu, Xiaotangshan, and Liangxiang subgeothermal fields, the other six subgeothermal fields have the potential for further development of thermal groundwater.
Built-Up Growth Impacts on Digital Elevation Model and Flood Risk Susceptibility Prediction in Muaeng District, Nakhon Ratchasima (Thailand)
Authors: Littidej Patiwat , Buasri Nutchanat
Published: July 2019

The transformation of land-use and land cover in Nakhon Ratchasima province, Thailand has rapidly changed over the last few years. The major factors affecting the growth in the province arise from the huge expansion of developing areas, according to the government’s development plans that aim to promote the province as a central business-hub in the region. This development expansion has eventually intruded upon and interfered with sub-basin areas, which has led to environmental problems in the region. The scope of this study comprises three objectives, i.e., (i) to optimize the Cellular Automata (CA) model for predicting the expansion of built-up sites by 2022; (ii) to model a linear regression method for deriving the transition of the digital elevation model (DEM); and (iii) to apply Geographic Weighted Regression (GWR) for analyzing the risk of the stativity of flood areas in the province. The results of this study show that the optimized CA demonstrates accurate prediction of the expansion of built-up areas in 2022 using Land use (LU) data of 2-year intervals. In addition, the predicting model is generalized and converged at the iteration no. 4. The prediction outcomes, including spatial locations and ground-water touch points of the construction, are used to estimate and model the DEM to extract independent hydrology variables that are used in the determination of Flood Risk Susceptibility (FRS). In GWR in the research called FRS-GWR, this integration of quantitative GIS and the spatial model is anticipated to produce promising results in predicting the growth and expansion of built-up areas and land-use change that lead to an effective analysis of the impacts on spatial change in water sub-basin areas. This research may be beneficial in the process of urban planning with respect to the study of environmental impacts. In addition, it can indicate and impose important directions for development plans in cities to avoid and minimize flood area problems.
Evaluación económica del sector agropecuario e industrial en Ecuador 1980 – 2015
Authors: García Valarezo Dayanara María , Apolo Vivanco Nervo Jonpiere , Bermeo Pacheco Javier Alejandro
Published: July 2019

La economía de Ecuador se sustenta principalmente en el sector primario a pesar que en los últimos años se ha tratado de dar un giro a través del cambio de la matriz productiva, pero los resultados aún no tienen el impacto deseado. El sector agropecuario e industrial son dos elementos importantes en la economía ecuatoriana, ya que se correlacionan de manera positiva, aunque su crecimiento es irregular, a lo largo de los años en el Ecuador se han implementado un sin número de políticas direccionadas a los dos sectores buscando de una u otra manera su desarrollo, las altas producciones de los sectores antes mencionados se debe en gran medida por las exportaciones y los altos precios internacionales, sin embargo han existido periodos donde estos sectores se han visto afectados debido a factores endógenos, exógenos y en otros casos a malas administraciones, bajo este contexto, el presente estudio tiene como objetivo analizar la evolución de los dos sectores representativos en el país como es el agropecuario e industrial a partir del año 1980 hasta 2015, se utilizó el método cuantitativo el cual permite a través de datos detallados, estadísticas y en conjunto con principios teóricos alcanzar las metas planteadas, dando así como resultado final que el sector industrial ha sido a lo largo de los años sumergido a una mayor prioridad y demostrando así que ha sido el que mayor ingresos brinda al país.

 

Palabras clave: sector agropecuario, sector industrial, factores exógenos y endógenos.

 

ABSTRACT

 

The economy of Ecuador is based mainly in the primary sector despite the fact that in recent years it has tried to make a turn through the change of the productive matrix, but the results do not yet have the desired impact. Agriculture and industry are two important elements in the Ecuadorian economy, since they correlate positively, although its growth is irregular, over the years in the Ecuador have implemented a number of policies targeted to the two sectors looking for one way or another its development, the high yields of the above-mentioned sectors is largely by exports and high international prices, however there have been periods where these sectors have been affected due to endogenous factors, exogenous and in other cases to bad administrations, in this context, this study aims to analyze the evolution of the two sectors that represent the country as it is the agricultural and industrial from the year 1980 until 2015, using the quantitative method which allows through detailed data, statistics and in conjunction with theoretical principles the goals raised, giving as well as end result than the industrial sector has been over the years submerged to a higher priority and showing that has been the major income provides to the country.

 

Key words: agricultural sector, industrial sector, exogenous and endogenous factors.
Impacto de las políticas públicas del "Buen Vivir" en organizaciones agroproductivas y solidarias de Portoviejo
Authors: Bravo Macías Columba Consuelo , Palacios Zurita Wladimir Alexander , Arteaga Moreira Ignacio , Barreiro Solórzano Yaritza
Published: July 2019

Esta investigación busca evaluar el impacto de las políticas públicas del “Buen Vivir” en las organizaciones agropoductivas y solidarias de Portoviejo, los métodos aplicados: inductivo, deductivo, analítico, sintético, análisis cualitativo de datos y análisis del discurso, las técnicas: la encuesta, observación y revisión documental; se realizaron cuatro fases metodológicas, en la primera fase se investigó temas relevantes del problema planteado, en la segunda fase se analizó indicadores socioeconómicos apoyados por autores especialistas en las tres armonías señaladas en el Plan Nacional del Buen Vivir, en la fase tres se recopiló la información de la encuesta aplicada a la muestra tratamiento (asociados) y de control (no asociados). En la última fase apoyados por la herramienta SPSS, se elaboraron tablas representando los resultados obtenidos, mismos que permitieron concluir que las políticas se aplican y se cumplen parcialmente, los miembros de las asociaciones perciben mayores beneficios que los no asociados.

 

Palabras clave: Políticas públicas, buen vivir, asociación, cooperativa, Plan Nacional del Buen Vivir.

 

ABSTRACT

 

This investigation search to assess the impact of public policies of “Buen vivir” in agropoductivas organizations and solidarity of Portoviejo, the methods applied: inductive, deductive reasoning, analytical, synthetic, qualitative data analysis and discourse analysis, the techniques: The survey, observation and documentary review; there were four phases of methodology, in the first phase we investigated topics relevant to the problem, in the second phase we analyzed socio-economic indicators supported by authors specialists in the three harmonies identified in the National Plan of Good Living, in phase three information was collected from the survey applied to the sample treatment (partners) and control (not associated). In the last phase supported by the tool SPSS, tables were representing the results obtained, which led to the conclusion that policies are implemented and partially compliant, the members of the associations perceive greater benefits than non-members.

 

Key words: Public policies, good living, association, cooperative, National Plan of Good Living.
Arquitectura de las secciones: Estructura, manejo y optimización del tiempo de venta
Authors: Núñez Barona Jonathan Fernando , Ramos Veintimilla Tannia Abigail , Castro Analuiza Juan Carlos
Published: July 2019

La demora en la atención, junto a la decisión de compra se justifica estructurar el diseño de la arquitectura de las secciones para el manejo y la optimización del tiempo en la venta para la empresa Proferreterías en la ciudad de Ambato. Luego de una investigación empírica, de carácter transversal y alcance descriptivo, se planteó seis secciones fundamentadas en el almacenamiento interno: 1) inventario de productos 2) identificación y codificación 3) ubicación de productos 4) ingreso de códigos 5) capacitación 6) evaluación. Esto identifica la disminución del tiempo en el manejo del inventario, de acuerdo 42 familias distribuidas en tres secciones. Además; las ventas en el año 2018 se incrementaron en 29,35% mensual y el nivel de satisfacción de los clientes mejoró en el 20%. Esto define que la optimización del tiempo fortalece la ubicación de las secciones por productos, y la adecuación en percha del material optimiza los espacios del material ferretero.

 

Palabras clave: Productos primarios y construcción, logística, calidad del producto.

 

ABSTRACT

 

The delay in services, together with the decision to purchase justifies the structural design of the architectural sections for the management and optimization of the sale time for the Proferreterías Company in Ambato city. Then an empirical investigation of a transversal character and descriptive scope, six sections based on internal storage were proposed: 1) inventory of products 2) identification and coding 3) location of products 4) Code entries 5) training and 6) evaluation. These were identified as a decrease of time in inventory management, according to 42 families distributed in three sections. In addition; sales increased by 29.35% per month and the level of customer satisfaction improved by 20%. This demonstrated that the optimization of the time strengthens the location of products by sections, and the adaptation of shelving units of the hardware material optimized the space used by that material.

 

Key words: Primary products and construction, logistics, product quality.
Identificação de prescrição de medicamentos que podem ocasionar constipação, Delirium e Xerostomia na alta hospitalar de idosos
Authors: Alves Camila Priscila Barbosa , Malta Jéssica Soares , Costa Josiane Moreira
Published: July 2019

O presente estudo tem o objetivo identificar potenciais riscos de constipação, xerostomia e delirium, ocasionados por medicamentos prescritos para idosos acompanhados pelo Serviço de Referenciamento Farmacoterapêutico (SRF), no momento da alta hospitalar. Trata-se de um estudo descritivo, desenvolvido em um hospital público geral de ensino de Belo Horizonte, entre 17 de janeiro e 3 de dezembro de 2014. A amostra estudada foi a de prontuários dos pacientes acompanhados pelos residentes farmacêuticos. Utilizou-se um relatório informatizado para identificação dos pacientes. Em seguida, identificou-se a prevalência de receituários de alta que recomendavam o uso de medicamentos com potencial de ocasionar xerostomia, delirium e constipação. Foram incluídos nos serviços 135 pacientes com mediana de idade de 68 anos, sendo 48,5% do sexo feminino. Os pacientes tiveram uma média de 6 medicamentos prescritos na alta hospitalar. Foi identificada uma prevalência de 85,21% prescrições de medicamentos que potencializam constipação, 46,3% que potencializam xerostomia e 26,76% que potencializam delirium. Foi possível identificar um considerável número de prescrições contendo medicamentos com riscos de xerostomia, delirium e constipação.  Recomenda-se a implementação de intervenções que avaliem o risco x benefício da prescrição desses medicamentos, realização de alertas aos pacientes e à Atenção Primária e identificação de outras opções farmacêuticas com menor potencial de danos.
Esteatose hepática aguda da gestação: relato de caso
Authors: Guimarães Nathália Melo , Campos Eduardo Siqueira
Published: July 2019

A esteatose hepática aguda da gestação é uma patologia obstétrica rara e grave, associada a alta mortalidade materna e fetal. O seu diagnóstico é difícil devido a sobreposição clínica com outras patologias graves, como a pré-eclampsia e a síndrome HELLP. O relato de caso apresentado neste estudo descreve a ocorrência de esteatose hepática aguda da gestação em uma mulher de 40 anos, multípara, previamente hígida, que evolui com insuficiência hepática e renal. A identificação precoce desta patologia, a pronta interrupção da gestação e o suporte intensivo adequado após o parto, contribuíram para o bom prognóstico da paciente.
Perfil de indivíduos com excesso de peso metabolicamente saudáveis e metabolicamente não saudáveis
Authors: Silva Bethânia Esmeralda Claudiano da , Caetano Vanessa Cirilo , Alvim Bruna de Freitas , Ribeiro Rayane Silva Martins , Seixas Thiago Balbi , Luquetti Sheila Cristina Potente Dutra
Published: July 2019

O presente trabalho teve como objetivo caracterizar um grupo de indivíduos adultos com excesso de peso quanto ao seu perfil metabólico, qualificando-os como obesos metabolicamente saudáveis ou obesos metabolicamente não saudáveis, segundo diferentes critérios. Trata-se de um estudo transversal, que avaliou 63 indivíduos adultos, 69,8% do sexo feminino, com sobrepeso (25,0 – 29,9 kg/m²) ou obesidade (≥ 30 kg/m²). Para a caracterização metabólica, foram utilizados os critérios: Índice “Homeostasis Model Assessment” (obesos metabolicamente saudáveis: dentro dos 3 menores quartis: ≤3,10; obesos metabolicamente não saudáveis: >3,10); padrões do “National Cholesterol Education Program’s Adult Treatment Panel III” (obesos metabolicamente saudáveis: apresentar até 2 componentes; obesos metabolicamente não saudáveis: 3 ou mais dos cinco componentes) e a combinação destes dois. Os perfis de estilo de vida, antropométrico, bioquímico e de consumo alimentar também foram avaliados. Os resultados foram expressos como percentual ou média ± desvio padrão, conforme o tipo de variável a ser descrito. A frequência de indivíduos obesos metabolicamente saudáveis foi de 73%, pelo critério de “Homeostasis Model Assessment”; e de 49,2%, pelo “Adult Treatment Panel III”. Usando os dois critérios em conjunto, obteve-se 79,4% de obesos metabolicamente saudáveis. A qualificação dos indivíduos pode variar de acordo com o critério utilizado. De forma geral, os obesos metabolicamente saudáveis exibem menores índices de massa corporal e circunferência da cintura, e possuem menos alterações bioquímicas. Entretanto, estes indivíduos também necessitam de acompanhamento nutricional, a fim de evitar que estes parâmetros se alterem ao longo do tempo, colocando-os em risco de desenvolver doenças crônicas.
Perfil e percepções dos feirantes em relação ao trabalho e segurança alimentar e nutricional nas feiras livres
Authors: Campos Isabel Cristina Soares , Figueiredo Priscila Cintra , Ribeiro Natália Ruza , Martins Brenda Xavier , Marques Nadine Piller Albino , Binoti Mirella Lima
Published: July 2019

As feiras livres de Juiz de Fora procuram fomentar a participação dos feirantes e dos pequenos produtores no abastecimento e na oferta de produtos de alta qualidade. O objetivo deste trabalho foi descrever o perfil socioeconômico e demográfico dos feirantes e suas percepções sobre o trabalho e sobre as condições de segurança alimentar e nutricional nas feiras da cidade de Juiz de Fora (MG). Trata-se de um estudo com delineamento transversal, descritivo e quantitativo. Foram realizadas entrevistas com 100 feirantes das 15 feiras da cidade, existentes no período do estudo, utilizando um questionário elaborado para a pesquisa. Os dados foram descritos por meio da distribuição de frequências absolutas e relativas utilizando o programa Excel, processados e analisados por meio do programa Epi Info 7.2.1.0. Utilizou-se o teste de Qui-quadrado para avaliar a associação entre as variáveis (p<0,05). O perfil dos feirantes é representado por homens (64%, n=64) de meia idade, casados (57%, n=57), com escolaridade até o ensino fundamental (37%, n=37) ou médio (48%, n=48) e que atuam nas feiras há mais de uma década (59%, n=59). As feiras têm caráter familiar e são, por vezes, os únicos meios para obtenção do sustento (64%, n=64) dos feirantes.  Dentre os problemas enfrentados, o mais citado foi a falta de segurança (32%, n=32). Apesar do relato de preocupação com a higiene (75%, n=75), foram presenciadas condições distantes da garantia de segurança alimentar. São necessárias ações educativas aos feirantes e apoio governamental para melhoria das condições de trabalho dos feirantes e para a garantia da segurança alimentar e nutricional.
Conhecimento da equipe de enfermagem do setor de hemodiálise sobre o atendimento a parada cardiorrespiratória
Authors: Souza Santos Mateus de , Vieira Toledo Luana , Rezende Alves Katiusse , Rocha Santana Monalise Mara , Ribeiro Luciane , Batista Barbosa de Sá Diaz Flávia
Published: July 2019

A parada cardiorrespiratória (PCR) é um dos maiores desafios no qual o profissional de saúde pode se deparar ao longo de sua atuação, pois necessita de uma assistência emergencial que exige competência técnica e científica na execução das manobras de Ressuscitação Cardiopulmonar (RCP). O objetivo foi avaliar o conhecimento dos profissionais de enfermagem que atuam no setor de hemodiálise sobre o atendimento à PCR em adultos, tendo como base as novas diretrizes de RCP da American Heart Association do ano de 2015. Estudo quantitativo realizado no setor de hemodiálise de um hospital de ensino situado Minas Gerais através da aplicação de um questionário fechado contendo 11 questões. Foi classificado como conhecimento satisfatório o número de acertos superior e/ou igual a 60%. Os dados coletados em julho de 2016 e analisados pelo Statistical Package for the Social Sciences (SPSS) versão 23. Participaram do estudo 19 técnicos de enfermagem e um enfermeiro. O número de acertos no questionário variou de um (9%) a seis (54,4%), com média de 4,25 e desvio padrão de 1,25. Apenas 20% dos participantes apresentaram conhecimento satisfatório. O conhecimento dos profissionais de enfermagem do setor de hemodiálise sobre o protocolo de RCP foi insatisfatório, sendo que os mesmos apresentaram lacunas tanto no conhecimento do suporte básico, quanto no suporte avançado de vida.
Compulsão alimentar periódica: aspecto negligenciado na abordagem de pacientes com síndrome metabólica
Authors: Franco Cláudia Rocha , Costa Mônica Barros , De Paula Rogério Baumgratz , Chaoubah Alfredo Chaoubah , Colugnati Fernando A. Basile , Ezequiel Danielle Guedes Andrade
Published: July 2019

A obesidade, um dos principais componentes da síndrome metabólica frequentemente associa-se à compulsão alimentar periódica (CAP). O objetivo do presente estudo foi avaliar a presença da CAP em mulheres com SM e a possível associação com parâmetros sociodemográficos, clínicos e comportamentais. Em estudo transversal foram selecionados 124 indivíduos com SM, distribuídos em dois grupos: Grupo 1 (ausência de CAP) e Grupo 2 (presença de CAP). A avaliação clínica incluiu medidas de peso e altura, circunferência da cintura e pressão arterial de consultório. Foram também avaliados parâmetros comportamentais, como presença de compulsão alimentar periódica, nível de atividade física, consumo de álcool, imagem corporal, sintomas depressivos e qualidade de vida. A avaliação laboratorial incluiu as dosagens de glicose e insulina, hormônio tiroestimulante, perfil lipídico e taxa de filtração glomerular estimada. Aplicou-se análise estatística através dos testes Qui Quadrado e t de Student. A média de idade das participantes foi 41±10,9 anos e a totalidade da amostra apresentava obesidade abdominal, com média da circunferência da cintura de 110±11,0 cm, 70% eram hipertensas, com média de Pressão Arterial Sistólica de 133±13,0 mmHg e Pressão Arterial Diastólica de 89±11,0 mmHg. Além disso, 95% eram sedentárias, 7% eram fumantes, 12% faziam uso nocivo do álcool, 98% declararam insatisfação com a imagem corporal e 62% apresentavam depressão. Observou-se presença de CAP em 57% das mulheres avaliadas. Houve associação entre CAP e idade, com predomínio na faixa etária entre 20 a 39 anos (p=0,010) e entre CAP e qualidade de vida (p=0,039). Quanto aos parâmetros laboratoriais, não foi observada diferença significativa entre os grupos. Em conclusão, a presença de CAP foi achado frequente em indivíduos com SM, sendo observada associação da CAP com faixa etária mais jovem e com pior qualidade de vida.Palavras-chave: Obesidade; Síndrome metabólica; Transtorno da compulsão alimentar.
Exercício físico e obesidade: prescrição e benefícios
Authors: Jesus Luciana Angélica da Silva de , Gravina Emanuele Poliana Lawall , Neto Miguel Nunes Fam , Miguel Camila Rohr Coutinho Elmor , Ribeiro Jussara Ramos , Talma Ana Júlia Machado , Bergamini Bruno Curty , Reboredo Maycon Moura
Published: July 2019

A obesidade está associada a várias complicações e maior risco de mortalidade. A mudança no estilo de vida é uma das intervenções fundamentais para melhora do quadro clínico desses pacientes, sendo a prática de exercícios físicos um dos seus componentes. O objetivo do presente estudo foi realizar uma revisão de literatura sobre o exercício físico em adultos e idosos com obesidade, descrevendo os principais programas de exercício, a forma adequada de prescrição e os benefícios da sua prática regular. O exercício aeróbico é a modalidade mais indicada para a perda de peso e está associado com maiores benefícios para estes pacientes. Adicionalmente, tem sido preconizado a realização de exercício resistido como terapia complementar. Para alcançar os benefícios da prática regular de exercício físico, a literatura sugere que sejam realizados exercícios aeróbicos de moderada a alta intensidade por no mínimo 150 minutos por semana e quando possível acrescentar o treinamento resistido, 2 a 3 vezes por semana, com carga de 60-70% de uma repetição máxima. Portanto, a prescrição individualizada de exercício físico para pacientes com obesidade representa uma estratégia eficaz para a redução do peso, tratamento e controle dos fatores de risco cardiovasculares, além de promover benefícios na sintomatologia e em outras complicações.
Perfil epidemiológico da tuberculose em Juiz de Fora, município prioritário no estado de Minas Gerais
Authors: Torres Rego Renata , Silvino Ferreira Assis Andrêssa , Rodrigues Costa Ronaldo
Published: July 2019

Introdução: A tuberculose (TB) é considerada um dos maiores problemas mundiais de saúde. Visando aeliminação dessa doença, a Organização Mundial de Saúde (OMS) elaborou um plano, chamado “The endTB strategy”, cujas metas propostas foram adotadas pelo Ministério da Saúde. Juiz de Fora é a segundacidade do estado de Minas Gerais com os maiores números de casos dessa doença sendo consideradamunicípio prioritário para controle da TB. Objetivo: Realizar uma análise do perfil epidemiológico da TBna cidade de Juiz de Fora nos anos de 2008 a 2017, comparando os dados registrados a nível nacional,estadual e municipal, bem como avaliar o cenário municipal frente às metas propostas pelo plano deenfrentamento da TB. Material e métodos: Foi realizado um estudo transversal, descritivo, de sérietemporal utilizando dados secundários disponibilizados pelo Departamento de Informática do SistemaÚnico de Saúde (DATASUS). Resultados: O coeficiente de incidência e mortalidade da TB assim comoa taxa de abandono de tratamento verifi cados em Juiz de Fora, de 2008-2017, superaram as médiasnacionais e estaduais, além de extrapolarem as metas previstas no plano de enfrentamento da TB.Cabe ressaltar, no entanto, que a proporção de teste rápido de HIV e o número de cultura de escarrorealizados entre os casos de retratamento de TB superaram as médias nacional e estadual. Conclusão:O perfi l epidemiológico da TB em Juiz de Fora revelou uma situação em alguns aspectos piores emrelação ao cenário nacional e estadual, mas também evidenciou que medidas já estão sendo realizadaspelo município para o enfrentamento da doença.