bluuebunny/crossref_metadata_2025 huggingface dataset:
Effective Lenvatinib Treatment Complicated with Secondary Tracheocutaneous Fistula in Patients with Advanced Anaplastic Thyroid Carcinoma
Authors: Wu Wen-Chi , Lai Jiun-I , Chen Jui-Yu , Liu Chun-Yu
Published: September 2019

Anaplastic thyroid carcinoma (ATC) is a fatal disease with a poor prognosis. Lenvatinib is an oral multi-targeted tyrosine kinase inhibitor (TKI) which is approved in Japan for the treatment of ATC. Data of treatment response and adverse effects of lenvatinib in ATC patients is still relatively scarce, especially in non-Japanese patient populations. Here we report dramatic treatment effects of lenvatinib in two patients with stage IVc ATC, who later developed significant morbidities including tracheal perforation and fistula formation. Our cases demonstrate the efficacy and provide cautionary information for treatment of ATC. In treating advanced ATC patients with lenvatinib, close monitoring is highly recommended.
An Operational Workflow of Deciduous-Dominated Forest Species Classification: Crown Delineation, Gap Elimination, and Object-Based Classification
Authors: He Yuhong , Yang Jian , Caspersen John , Jones Trevor
Published: September 2019

Recent advances in remote sensing technology provide sufficient spatial detail to achieve species-level classification over large vegetative ecosystems. In deciduous-dominated forests, however, as tree species diversity and forest structural diversity increase, the frequency of spectral overlap between species also increases and our ability to classify tree species significantly decreases. This study proposes an operational workflow of individual tree-based species classification for a temperate, mixed deciduous forest using three-seasonal WorldView images, involving three steps of individual tree crown (ITC) delineation, non-forest gap elimination, and object-based classification. The process of species classification started with ITC delineation using the spectral angle segmentation algorithm, followed by object-based random forest classifications. A total of 672 trees was located along three triangular transects for training and validation. For single-season images, the late-spring, mid-summer, and early-fall images achieve the overall accuracies of 0.46, 0.42, and 0.35, respectively. Combining the spectral information of the early-spring, mid-summer, and early-fall images increases the overall accuracy of classification to 0.79. However, further adding the late-fall image to separate deciduous and coniferous trees as an extra step was not successful. Compared to traditional four-band (Blue, Green, Red, Near-Infrared) images, the four additional bands of WorldView images (i.e., Coastal, Yellow, Red Edge, and Near-Infrared2) contribute to the species classification greatly (OA: 0.79 vs. 0.53). This study gains insights into the contribution of the additional spectral bands and multi-seasonal images to distinguishing species with seemingly high degrees of spectral overlap.
Environment Monitoring for Anomaly Detection System Using Smartphones
Authors: Nguyen Van Khang , Renault Éric , Milocco Ruben
Published: September 2019

Currently, the popularity of smartphones with networking capabilities equipped with various sensors and the low cost of the Internet have opened up great opportunities for the use of smartphones for sensing systems. One of the most popular applications is the monitoring and the detection of anomalies in the environment. In this article, we propose to enhance classic road anomaly detection methods using the Grubbs test on a sliding window to make it adaptive to the local characteristics of the road. This allows more precision in the detection of potholes and also building algorithms that consume less resources on smartphones and adapt better to real conditions by applying statistical outlier tests on current threshold-based anomaly detection methods. We also include a clustering algorithm and a mean shift-based algorithm to aggregate reported anomalies on data to the server. Experiments and simulations allow us to confirm the effectiveness of the proposed methods.
Traffic Speed Prediction: An Attention-Based Method
Authors: Liu Duanyang , Tang Longfeng , Shen Guojiang , Han Xiao
Published: September 2019

Short-term traffic speed prediction has become one of the most important parts of intelligent transportation systems (ITSs). In recent years, deep learning methods have demonstrated their superiority both in accuracy and efficiency. However, most of them only consider the temporal information, overlooking the spatial or some environmental factors, especially the different correlations between the target road and the surrounding roads. This paper proposes a traffic speed prediction approach based on temporal clustering and hierarchical attention (TCHA) to address the above issues. We apply temporal clustering to the target road to distinguish the traffic environment. Traffic data in each cluster have a similar distribution, which can help improve the prediction accuracy. A hierarchical attention-based mechanism is then used to extract the features at each time step. The encoder measures the importance of spatial features, and the decoder measures the temporal ones. The proposed method is evaluated over the data of a certain area in Hangzhou, and experiments have shown that this method can outperform the state of the art for traffic speed prediction.
Solid State Electronic Sensors for Detection of Carbon Dioxide
Authors: Hannon Ami , Li Jing
Published: September 2019

Detection of carbon dioxide (CO2) is very important for environmental, health, safety and space applications. We have studied novel multiwall carbon nanotubes (MWCNTs) and an iron oxide (Fe2O3) nanocomposite based chemiresistive sensor for detection of CO2 at room temperature. The sensor has been miniaturized to a chip size (1 cm × 2 cm). Good sensing performance was observed with a wide detection range of CO2 concentrations (100–6000 ppm). Structural properties of the sensing materials were characterized using Field-Emission Scanning Electron Microscopy, Fourier-Transform Infrared and Raman spectroscopies. The greatly improved sensitivity of the composite materials to CO2 can be attributed to the formation of a depletion layer at the p-n junction in an MWCNT/iron oxide heterostructure, and new CO2 gas molecules adhere to the high surface area of MWCNTs due to the concentration gradient. The test results showed that the CO2 sensor possesses fast response, compact size, ultra-low power consumption, high sensitivity and wide dynamic detection range.
The Design and Experimental Development of Air Scanning Using a Sniffer Quadcopter
Authors: Kuantama Endrowednes , Tarca Radu , Dzitac Simona , Dzitac Ioan , Vesselenyi Tiberiu , Tarca Ioan
Published: September 2019

This study presents a detailed analysis of an air monitoring development system using quadcopters. The data collecting method is based on gas dispersion investigation to pinpoint the gas source location and determine the gas concentration level. Due to its flexibility and low cost, a quadcopter was integrated with air monitoring sensors to collect the required data. The analysis started with the sensor placement on the quadcopter and their correlation with the generated vortex. The reliability and response time of the sensor used determine the duration of the data collection process. The dynamic nature of the environment makes the technique of air monitoring of topmost concern. The pattern method has been adapted to the data collection process in which area scanning was marked using a point of interest or grid point. The experiments were done by manipulating a carbon monoxide (CO) source, with data readings being made in two ways: point source with eight sampling points arranged in a square pattern, and non-point source with 24 sampling points in a grid pattern. The quadcopter collected data while in a hover state with 10 s sampling times at each point. The analysis of variance method (ANOVA) was also used as the statistical algorithm to analyze the vector of gas dispersion. In order to tackle the uncertainty of wind, a bivariate Gaussian kernel analysis was used to get an estimation of the gas source area. The result showed that the grid pattern measurement was useful in obtaining more accurate data of the gas source location and the gas concentration. The vortex field generated by the propeller was used to speed up the accumulation of the gas particles to the sensor. The dynamic nature of the wind caused the gas flow vector to change constantly. Thus, more sampling points were preferred, to improve the accuracy of the gas source location prediction.
Natural Lighting for Sustainability of Cultural Heritage Refurbishment
Authors: Balocco Carla , Cecchi Martina , Volante Giulia
Published: September 2019

Our present research, starting from a previous study, aimed to define a methodological approach for sustainable lighting designs in a historical library, focusing on lighting quality, mainly obtained from the optimal use of natural light and its combination with the artificial one. A historical Florentine monastery, which is now a university library, was used as a pilot project. The proposed method forms an essential part of widening and deepening the recent study. Results have shown that this method will allow for adaptive lighting, based on the optimal control and use of natural light, historical–philological re-reading of the space, cultural heritage preventive protection and conservation, with the aim of building adaptive reuse, and it can be extended to similar cultural heritage cases, but also non-listed buildings and current designs. This research demonstrates how a correct natural lighting design can be a tool for sustainable refurbishment, guaranteeing cultural heritage conservation and preventive protection, and recovery of the historical, architectural and philological value of old and/or listed buildings, which have been converted to uses, often diametrically opposed to the original ones.
Does the Development of Bioenergy Exacerbate the Price Increase of Maize?
Authors: Dong Zhengyi
Published: September 2019

The relationship between oil prices and food prices is complex, and maize is the most prominent example. Whether the development of bioenergy will exacerbate the price increase of maize caused by the increasing price of oil is a topic that is attracting great attention. This paper studies the relationship between oil prices and maize prices. First, the effects of the development of biomass energy on maize price in theory is analyzed by constructing a theoretical model that includes the effects of the cost channel and the demand channel, while setting the maize–oil price ratio as a trigger for the demand channel. Then, this paper empirically analyzes the price data. Both theoretical and empirical analyses show the effects of the demand channel in the long term; that is, the effect of the development of bioenergy on maize prices is weak, and maize prices did not increase sharply. The effect of the cost channel is the main cause of the increases in the price of maize and other foods.
Sustainable Hydroelectric Dam Management in the Context of Climate Change: Case of the Taabo Dam in Côte D’Ivoire, West Africa
Authors: Mortey Eric Mensah , Kouassi Kouakou Lazare , Diedhiou Arona , Anquetin Sandrine , Genoud Mathieu , Hingray Benoit , Kouame Didier Guy Marcel
Published: September 2019

Management of hydroelectric dams is an aspect of sustainability that comes with resolving problems locally. The use of global indicators has not been a sustainable solution, thus the need for local indicators. Besides, current sustainability assessment tools lack the integration of climate, making assessments in a climate change context impossible. In this paper, we present management and sustainability assessment in a climate change context using sustainability indicators. We modeled a change in the climate using normal, moderate, and extreme climate conditions defined by Standardized Precipitation Indices (SPI) values. Out of 36 years analyzed, 24 years fall in the near-normal climate regime, and the remaining 12 years in moderate and extreme conditions, making near-normal climate regime the basis for managing the Taabo Dam. The impact of climate, techno-economic, and socio-environmental indicators on sustainability were investigated, and the results were analyzed according to scenarios. Climate adaptation shows higher sustainability indices than techno-economic and socio-environmental scenarios. Probability matrices show high and low values, respectively, for environmental and flooding indicators. Risk matrices, on the other hand, show that even with small probability values, risks still exist, and such small probabilities should not be taken as an absence of risk. The study reveals that sustainability can be improved by integrating climate into existing assessment methods.
Socio-Economic Factors for Anthill Soil Utilization by Smallholder Farmers in Zambia
Authors: Chisanga Kafula , Mbega Ernest , Ndakidemi Patrick Alois
Published: September 2019

In this study, we surveyed two districts of Zambia—Choma and Pemba. The aim of this study was to obtain the perspective of farmers on anthill soil utilization practices for key information that could contribute towards the development of an anthill soil based research agenda. The study employed both a qualitative and quantitative method approach to gather data from the respondents, which included farmers and key informants. Qualitative data was analyzed using the triangulation method and Computer Assisted Qualitative Data Analysis Software (CAQDAS), Nvivo version 10, while data generated from quantitative interviews with a smart phone Application (Open Data Kit) were analyzed using Statistical Package for Social Sciences (SPSS). Results revealed that the key hurdles to the utilization of anthill soil lay in agro-climatic, biophysical, technological, land and institutional constraints. Broadly, farmers reported poor rainfall patterns (95%), decreasing soil fertility (70%), limited farm products (69%), finance (66%), limited access to research and extension services (55%) and security of land tenure (48%) as major constraints. We therefore advocate for strengthenedinstitutional linkages between research and extension for information dissemination, which would aid in decision-making used to promote integrated soil fertility management for improved agriculture production and productivity of rural households.
Business Sustainability of Start-Ups Based on Government Support: An Empirical Study of Korean Start-Ups
Authors: Lee Wooseung , Kim Boyoung
Published: September 2019

Since the mid-2000s, start-ups have increasingly become the driving force of new jobs and growth engines for advanced countries, and emerging nations are striving to vitalize start-ups through active government support policies. However, approximately 30% of start-ups shut down within two years of their foundation. Accordingly, this study determines the factors affecting the business sustainability of start-ups as based on available government support and provides suggestions to increase the effectiveness of the government-supported projects. This study conducted a survey of 273 start-ups in Korea, and empirically analyzed whether factors such as entrepreneurship, market orientation, and network affected business sustainability by using flow experience and entrepreneurial satisfaction as mediators. The results found that entrepreneurship affected business sustainability with flow experience and entrepreneurial satisfaction as the mediators, while market orientation affected business sustainability using flow experience as the mediator, and network affected business sustainability with entrepreneurial satisfaction as the mediator.
Analyzing Student Satisfaction in the Technical and Vocational Education System through Collaborative Teaching
Authors: Wang Shiow-Luan , Chen Hsiou-Ping , Hu Shiow-Lin , Lee Chien-Ding
Published: September 2019

The sustainable development of science and environmental education is a core mechanism in the world education system. The implementation of the goal of establishing science and environmental education comprehensively in higher education, especially in vocational education, poses a challenge. Basic vocational education is a category of the education system, as well as sustainable development, which involves the technical and vocational education (TVE) system (20–30 general/compulsory/elective credits required). Awareness of the sustainable development in science and environment is getting more and more emphasized by educators. For students’ learning to use, it was recommended that universities use education for sustainable development (ESD) in TVE programs. This study proposes clarifying whether anticipating the needs of TVE university students is more conducive for them. Also, for the global understanding about innovative education, the “awareness of the sustainable development in science and environment” was involved in our experimental items. The learning satisfaction derived from students from the collaborative teaching of the industry experts in the TVE system is another point of focus. Students who take the course attend six weekly three-hour periods in class. An e-learning system is utilized so that learning resources created by industry experts can be provided. The deployment facilitates the evaluation of basic vocational education because teaching is not only performed in a traditional class but also prompted via a valuable e-learning system. The results showed that “Level of respect during the collaborative teaching of industry experts” (mean = 3.93; S.D. = 0.751) was rated by students as satisfactory and “Overall efficiency of teaching materials” (mean = 3.47) was rated as the lowest of the items. “Awareness of the sustainable development in science and environment” (mean = 3.86; S.D. = 0.752) was rated by students as highly satisfactory. To verify the result, an analysis of the improvement of learning satisfaction is discussed. Practical implications and future work are also discussed.
The Regulatory Framework and Minerals Development in Vietnam: An Assessment of Challenges and Reform
Authors: Ba Nguyen Nhi Ba , Boruff Bryan , Tonts Matthew
Published: September 2019

This paper aims to identify the key components of a modern mining regulatory framework and examines the extent to which the Vietnamese context reflects these characteristics. Through detailed observation of two research locations in Vietnam—Phuoc Son and Bong Mieu—the paper investigates how national policy operates at a local level. Findings show that, over the past decade, the Vietnamese Government has initiated substantial reforms to the regulatory frameworks governing mining, with the central objective to attract foreign direct investment (FDI). However, it has become apparent that these reforms have numerous deficiencies and loopholes that have led to a range of unintended economic, social and environmental consequences. To cope with challenges such as rent-seeking, limited capacities and capabilities of government staff, failure of institutions and neglect of local communities, policy makers will need to think differently and strategically about the mining industry and how regulations are implemented. Only by addressing these weaknesses will the path be paved for the sustainable growth of Vietnam’s mining industry into the future.
The Distribution of Sustainable Decision-Making in Multinational Manufacturing Enterprises
Authors: Fagerlind Therese , Stefanicki Martin , Feldmann Andreas , Korhonen Jouni
Published: September 2019

In order to contribute to research on implementing business sustainability, this study aims to explore the distribution of decision-making authority related to economic, environmental, and social sustainability. Sustainability objectives between different organizational levels in multinational manufacturing enterprises (MMEs) are investigated. The research is fundamentally exploratory. We conducted a multiple case study endeavor with nine participating case organizations. The study identified five different decision-making approaches to sustainability in multinational manufacturing enterprises. The findings showed that there was no consistent way of deciding upon sustainability issues. Some case organizations seemed to regard sustainability as a global concern, while others regarded it as a more local concern. In general, the economic sustainability dimension was regarded as more of a global concern, while the environmental dimension was more of a local concern, and the social dimension more of an integrated concern. The findings of this study can act as guidance for managers when implementing or improving sustainability strategies. The findings will also serve as a map to navigate and understand what should be given the strongest priority in different situations concerning decision-making relating to sustainability in manufacturing processes and networks.
Utilization of the Brinkman Penalization to Represent Geometries in a High-Order Discontinuous Galerkin Scheme on Octree Meshes
Authors: Anand Nikhil , Ebrahimi Pour Neda , Klimach Harald , Roller Sabine
Published: September 2019

We investigate the suitability of the Brinkman penalization method in the context of a high-order discontinuous Galerkin scheme to represent wall boundaries in compressible flow simulations. To evaluate the accuracy of the wall model in the numerical scheme, we use setups with symmetric reflections at the wall. High-order approximations are attractive as they require few degrees of freedom to represent smooth solutions. Low memory requirements are an essential property on modern computing systems with limited memory bandwidth and capability. The high-order discretization is especially useful to represent long traveling waves, due to their small dissipation and dispersion errors. An application where this is important is the direct simulation of aeroacoustic phenomena arising from the fluid motion around obstacles. A significant problem for high-order methods is the proper definition of wall boundary conditions. The description of surfaces needs to match the discretization scheme. One option to achieve a high-order boundary description is to deform elements at the boundary into curved elements. However, creating such curved elements is delicate and prone to numerical instabilities. Immersed boundaries offer an alternative that does not require a modification of the mesh. The Brinkman penalization is such a scheme that allows us to maintain cubical elements and thereby the utilization of efficient numerical algorithms exploiting symmetry properties of the multi-dimensional basis functions. We explain the Brinkman penalization method and its application in our open-source implementation of the discontinuous Galerkin scheme, Ateles. The core of this presentation is the investigation of various penalization parameters. While we investigate the fundamental properties with one-dimensional setups, a two-dimensional reflection of an acoustic pulse at a cylinder shows how the presented method can accurately represent curved walls and maintains the symmetry of the resulting wave patterns.
Behavioral Habits-Based User Identification Across Social Networks
Authors: Xing Ling , Deng Kaikai , Wu Honghai , Xie Ping , Gao Jianping
Published: September 2019

Social networking is an interactive Internet of Things. The symmetry of the network can reflect the similar friendships of users on different social networks. A user’s behavior habits are not easy to change, and users usually have the same or similar display names and published contents among multiple social networks. Therefore, the symmetry concept can be used to analyze the information generated by the user for user identification. User identification plays a key role in building better information about social network user profiles. As a consequence, it has very important practical significance in many network applications and has attracted a great deal of attention from researchers. However, existing works are primarily focused on rich network data and ignore the difficulty involved in data acquisition. Display names and user-published content are very easy to obtain compared to other types of user data across different social networks. Therefore, this paper proposes an across social networks user identification method based on user behavior habits (ANIUBH). We analyzed the user’s personalized naming habits in terms of display names, then utilized different similarity calculation methods to measure the similarity of the features contained in the display names. The variant entropy value was adopted to assign weights to the features mentioned above. In addition, we also measured and analyzed the user’s interest graph to further improve user identification performance. Finally, we combined one-to-one constraint with the Gale–Shapley algorithm to eliminate the one-to-many and many-to-many account-matching problems that often occur during the results-matching process. Experimental results demonstrated that our proposed method enables the possibility of user identification using only a small amount of online data.
A Fusion Peptide in the Spike Protein of MERS Coronavirus
Authors: Alsaadi Entedar A. J. , Neuman Benjamin W. , Jones Ian M.
Published: September 2019

Coronaviruses represent current and emerging threats for many species, including humans. Middle East respiratory syndrome-related coronavirus (MERS-CoV) is responsible for sporadic infections in mostly Middle Eastern countries, with occasional transfer elsewhere. A key step in the MERS-CoV replication cycle is the fusion of the virus and host cell membranes mediated by the virus spike protein, S. The location of the fusion peptide within the MERS S protein has not been precisely mapped. We used isolated peptides and giant unilamellar vesicles (GUV) to demonstrate membrane binding for a peptide located near the N-terminus of the S2 domain. Key residues required for activity were mapped by amino acid replacement and their relevance in vitro tested by their introduction into recombinant MERS S protein expressed in mammalian cells. Mutations preventing membrane binding in vitro also abolished S-mediated syncytium formation consistent with the identified peptide acting as the fusion peptide for the S protein of MERS-CoV.
Sensitivity of Agricultural Development to Water-Related Drivers: The Case of Andalusia (Spain)
Authors: Martinez Pilar , Blanco Maria
Published: September 2019

Future agricultural development will be challenged by the impacts of climate change on water, which are expected to be particularly strong in southern European regions. Thus, exploring interrelations between agriculture and water under climate change is essential to frame informed policies that ensure sustainable water management while enhancing food production. Nevertheless, studies that address future agriculture development focus on climate-induced changes in crop productivity and often disregard the water dimension. In this research, we have conducted a sensitivity analysis of agricultural development to drivers of water use in Andalusia in 2050 based on outcomes from the CAPRI-Water model. The results from the analysis show that water cost is the most determinant factor in shaping agricultural land, offsetting the impact of the driver of water availability. In contrast, irrigation water use is driven not only by water cost but also by irrigation efficiency. The magnitude of the sensitivity to these drivers differs significantly across crops. Policies aimed at improving resource use efficiency can contribute to strengthening the resilience and adaptation capacity of future agricultural systems to climate change. To achieve this goal, the policies must consider crop sensitivity to irrigation costs and the potential rebound effect.
Long-Term Trends and Seasonality Detection of the Observed Flow in Yangtze River Using Mann-Kendall and Sen’s Innovative Trend Method
Authors: Ali Rawshan , Kuriqi Alban , Abubaker Shadan , Kisi Ozgur
Published: September 2019

Trend analysis of streamflow provides practical information for better management of water resources on the eve of climate change. Thus, the objective of this study is to evaluate the presence of possible trends in the annual, seasonal, maximum, and minimum flow of Yangtze River at Cuntan and Zhutuo stations in China for the period 1980 to 2015. The assessment was carried out using the Mann–Kendall trend test, and the innovative trend analysis, while Sen’s slope is used to estimate the magnitude of the changes. The results of the study revealed that there were increasing and decreasing trends at Cuntan and Zhutuo stations in different months. The mean annual flow was found to decrease at a rate of −26.76 m3/s and −17.37 m3/s at both stations. The minimum flow was found to significantly increase at a rate of 30.57 m3/s and 16.37 m3/s, at a 95% level of confidence. Maximum annual flows showed an increasing trend in both regions of the Yangtze River. On the seasonal scale, the results showed that stations are more sensitive to seasonal flow variability suggesting a probable flooding aggravation. The winter season showed an increasing flow trend, while summer showed a decreasing trend. The spring flow was found to have an increasing trend by the Mann–Kendall test at both stations, but in the Zhutuo Station, a decreasing trend was found by way of the innovative trend analysis method. However, the autumn flow indicated a decreasing trend over the region by the Mann–Kendall (MK) test at both stations while it had an increasing trend in Cuntan by the innovative trend analysis method. The result showed nonstationary increasing and decreasing flow trends over the region. Innovative trend analysis method has the advantage of detecting the sub-trends in the flow time series because of its ability to present the results in graphical format. The results of the study indicate that decreasing trends may create water scarcity if proper adaptation measures are not taken.
Automated Longitudinal Control Based on Nonlinear Recursive B-Spline Approximation for Battery Electric Vehicles
Authors: Jauch Jens , Bleimund Felix , Frey Michael , Gauterin Frank
Published: September 2019

This works presents a driver assistance system for energy-efficient ALC of a BEV. The ALC calculates a temporal velocity trajectory from map data. The trajectory is represented by a cubic B-spline function and results from an optimization problem with respect to travel time, driving comfort and energy consumption. For the energetic optimization we propose an adaptive model of the required electrical traction power. The simple power train of a BEV allows the formulation of constraints as soft constraints. This leads to an unconstrained optimization problem that can be solved with iterative filter-based data approximation algorithms. The result is a direct trajectory optimization method of which the effort grows linearly with the trajectory length, as opposed to exponentially as with most other direct methods. We evaluate ALC in real test drives with a BEV. We also investigate the energy-saving potential in driving simulations with ALC compared to MLC. On the chosen reference route the ALC saves up to 3.4% energy compared to MLC at same average velocity, and achieves a 2.6% higher average velocity than MLC at the same energy consumption.
Knowledge and attitudes towards appropriate antibiotics usage among students-a survey
Authors: Lincon Asha , Dhanya Dharman  , Deepa Manohar  , Shaiju S Daran  , Ashima Basher  , Ashita Ajith
Published: September 2019

Antibiotics are used to treat bacterial infections. WHO estimates that more than half of all medicines are prescribed, dispensed or sold inappropriately, and that half of all patients fail to take them correctly. The overuse, underuse or misuse of medicines results in wastage of scarce resources and widespread health hazard. The objective of the study is to evaluate the knowledge and Attitude towards appropriate antibiotic use among students. A 15 item web based questionnaire was developed and employed to collect data from pharmacy students at Ezhuthachan College of pharmaceutical sciences. The survey will gather demographic information and collect data on knowledge, expectations and current antibiotic usage among students.A total of 55 students participated in the study, among the respondents about 60% of respondents believed that they could stop taking antibiotics if their symptoms of infection improved. over a half of the respondents (68%) believed that antibiotics are effective for most of the colds and around half of  them (40%) stated that, they prefer to keep antibiotics at home for emergencies. About 58% would give their antibiotics to a family member if they caught an infection, 44% of respondents identified that, they have bought an antibiotic from community pharmacies without a prescription.The study shows that the pharmacy students has a number of misconceptions relating to appropriate antibiotic use, particularly relating to use of antibiotics for treatment of viral infections. As antibiotics are widely used in students, proper education should be given about rational use of antibiotics.
Avaliação da qualidade no atendimento aos clientes das clínicas de Radiologia Odontológica: uma visão do empresário
Authors: Caixeiro Igor Mendes , Mauad Letícia Queiroz , Devito Karina Lopes
Published: September 2019

Introdução: As clínicas de radiologia são prestadoras de serviços que realizam exames por imagem odontológicos e seus proprietários devem se preocupar com a qualidade dos serviços prestados. Objetivo: Avaliar, por meio da percepção do empresário, a qualidade no atendimento prestado aos clientes das clínicas de radiologia odontológica da cidade de Juiz de Fora (Minas Gerais, Brasil). Material e Métodos: Foi aplicado um questionário estruturado, desenvolvido para avaliar a autopercepção do empresário quanto à qualidade no atendimento. Esse instrumento possuia 24 questões, incluindo os seguintes tópicos: dados gerais, infraestrutura, recursos humanos, biossegurança e radioproteção, logística, estratégia de marketing e avaliação dos clientes. Resultados: Cerca de 90% das clínicas aceitaram responder o questionário. Pode-se observar que o tempo de mercado das clínicas é bastante variável (um a 27 anos) e, em relação à formação dos seus gestores, apenas dois (25%) eram administradores de empresa. Quando questionados sobre se seus atendentes receberam algum tipo de capacitação, seis (75%) clínicas responderam que sim, mas que se tratou apenas de treinamento interno. Seis (75%) clínicas afirmaram que os pacientes aguardavam no máximo 10 minutos para serem atendidos e que cumpriam o prazo de entrega dos exames e laudos. Em relação ao marketing, o contato telefônico, a internet e as redes sociais foram as estratégias mais frequentes das clínicas participantes. Conclusão: Pode-se concluir que as clínicas de radiologia são geridas, na maioria das vezes, por profissionais que não possuem formação em administração, mas que se preocupam em garantir um atendimento de qualidade.
Estado nutricional, consumo de alimentos ultraprocessados e imagem corporal de adolescentes de uma escola privada do município de Juiz de Fora – MG
Authors: Andrade Lilian Moreira Moraes , Costa Jessica Almeida , Carrara Camila Ferreira , Netto Michele Pereira , Carlos Cândido Ana Paula , Silva Renata Maria Souza Oliveira e , Mendes Larissa Loures
Published: September 2019

Introdução: A adolescência é uma fase com intensas mudanças nutricionais e de elevada vulnerabilidade, o que fortalece a necessidade de investigação do referido grupo. Objetivo: Avaliar a percepção da imagem corporal e fatores associados em adolescentes de uma escola privada do município de Juiz de Fora- MG. Material e métodos: Trata-se de um estudo transversal, realizado no ano de 2016, desenvolvido com estudantes de ambos os sexos, cuja faixa etária varia de dez a quatorze anos de idade, matriculados em uma escola privada do Município de Juiz de Fora, Minas Gerais. Os dados antropométricos avaliados nos adolescentes foram peso, altura e circunferência da cintura, padronizados de acordo com as orientações do Ministério da Saúde. Também foram coletados dados referentes ao hábito alimentar e a percepção da imagem corporal dos indivíduos, através de questionários semi-estruturados e auto preenchidos. Foram coletados dados antropométricos de 50 indivíduos. As análises foram processadas no software SPSS, versão 20.0. Resultados: Encontrou-se associação entre a variável idade e insatisfação da imagem corporal, onde os adolescentes com idade inferior à 12 anos apresentaram maior descontentamento com imagem corporal. Ademais, em relação ao estado nutricional foi possível observar elevada prevalência de insatisfação corporal entre indivíduos obesos e com excesso de peso. Em relação aos hábitos alimentares, 84,6% dos adolescentes destinavam metade de suas compras à aquisição de alimentos ultraprocessados. Conclusão: O consumo de ultraprocessados entre os adolescentes foi grande, assim como foi elevada a insatisfação com a imagem corporal. Esses achados demonstram a importância da implementação de ações públicas, voltadas aos adolescentes, com intuito de promoção da alimentação saudável e prevenção da obesidade, sobrepeso e distúrbios de imagem corporal.
O trabalho docente na versão preliminar do Projeto Pedagógico Institucional para os cursos de licenciaturas da UFJF
Authors: Garcia-Reis Andreia Rezende , Barcellos Correia da Silva Andressa
Published: September 2019

Este estudo visa investigar a compreensão do trabalho docente e o estatuto do professor formado pela Universidade Federal de Juiz de Fora, em seus diversos cursos de formação para a docência, por meio da análise da versão preliminar do Projeto Pedagógico Institucional para os cursos de licenciatura - PPI (UFJF, 2018). Adota-se como aportes teóricos o Interacionismo Sociodiscursivo (BRONCKART, 2006), em sua corrente de análise de textos prescritivos do trabalho docente (MACHADO, 2009). Considera-se que as significações (BRONCKART, 2015) em torno da profissão e do trabalho docente são construídas também pelos textos que tratam dessa atividade, por isso precisam ser estudados e compreendidos. A pesquisa revela a significação do trabalho docente como atividade profissional, intencional e metódica, para a qual é exigida formação específica e contextualizada.
“Propagador das sciencias medicas” e “Semanario de saúde publica’’:
Authors: Ferreira Danese Oliveira Pedro Henrique
Published: September 2019

Este artigo busca analisar o modo como as moléstias mentais foram interpretadas nos primeiros periódicos médicos que surgiram no Brasil no começo do século XIX, período da criação da imprensa régia, que auxiliou na propagação do conhecimento científico e médico.
Um Um Mês de Desgosto:
Authors: Glessa Lacerda da Cunha Thársyla
Published: September 2019

Getúlio Vargas tomou posse como presidente da república, pela segunda vez, no ano de 1951, assumindo um governo democrático. No entanto, seu novo governo foi marcado  por  grande  instabilidade  política,  devido  à  forte  oposição  por  parte  da  União Democrática Nacional (UDN) e por parte da imprensa. Nesse sentido, a proposta deste trabalho é verificar o poder de atuação da imprensa no campo histórico, destacando sua influência  na  construção  dos  acontecimentos  políticos.  Essa  compreensão  será  feita, aqui, através da análise dos jornais Tribuna da Imprensa e Última Hora, durante a crise apresentada no segundo governo de Getúlio Vargas, buscando entender de que modo os interesses defendidos por eles, influenciaram os rumos políticos naquele momento, que teve o desfecho conturbado, com o suicídio do presidente em 24 de agosto de 1954.
Acerca da aplicabilidade do conceito de experiência religiosa no estudo dos mistérios helenísticos
Authors: Moreira Maia Silva Thales
Published: September 2019

O uso de categorias permite a estudiosos realizar distinções, organizar seu material e classifica-lo de acordo com os critérios dos padrões utilizados. Entretanto, muitas vezes, tais parâmetros correspondem mais aos esquemas organizacionais atuais do que às próprias categorias antigas, mesmo quando aparentam vir diretamente do passado. A partir do exemplo das “religiões de mistério”, a alegação de que uma suposta “experiência religiosa”, isolada de seu contexto político, seria a base das ideias e condutas religiosas greco-romanas parece ser um posicionamento mais fundamentado em vieses (essencialistas) modernos do que nas evidências históricas.
A introdução da geometria analítica no ensino secundário português — a contribuição de José Adelino Serrasqueiro
Authors: Matos José Manuel
Published: September 2019

O artigo pretende contribuir para o estudo dos modos como a geometria analítica foi introduzida no final do século XIX como tópico escolar no ensino secundário português, quer em programas, quer em livros de texto. Para além do estudo da legislação apropriada, o trabalho debruçou-se sobre um capítulo de um dos primeiros livros escolares que incluíram o tópico da autoria de José Adelino Serrasqueiro, um autor de referência da época. Seguindo o programa, o texto privilegia essencialmente o estudo de temas geométricos através da álgebra. A sua abordagem mostra como o autor desenvolveu o tópico na ausência de uma tradição escolar consolidada sobre como ensinar geometria analítica no ensino secundário. As suas escolhas foram pois inovadoras, embora algumas delas tenham sido excluídas em futuros programas.
Endometrium Kanserinde Myometrial İnvazyon Derinliğinin Magnetik Rezonans Görüntüleme ile Değerlendirilmesi
Authors: ASLAN Mehmet Musa
Published: September 2019

Amaç: Endometrium kanseri (EK)
tanısı almış hastalarda, ameliyat öncesi myometrial invazyon (Mİ)’nun saptanmasında
magnetik rezonans  görüntülemenin  ( MRG) değerinin araştırılması amaçlandı.

Yöntem: Endometrium kanseri tanısı
alan hastalardan ameliyat öncesi MR görüntüleme yapılanlar çalışmaya dahil
edildi. Hastaların görüntüleme bilgileri, operasyon bilgileri, patoloji
sonuçları dosyalarından alınarak kaydedildi. MRG raporlarında myometrial
invazyon durumları ile ameliyat sonrası patolojik incelemede tespit edilen
myometrial invazyon durumları karşılaştırılarak MRG’nin endometrium kanserinde
myometrial invazyon varlığını tahmin etmedeki rolü değerlendirildi.

Bulgular:
Ameliyat öncesi MR ile görüntüleme yapılan 302 hasta çalışmaya dahil edildi.
Hastaların yaşları 29 -90 arasında olup, ortalama 59.5+-10.7 bulundu. Bu
hastalar endometrial biyopsi yapılarak endometrium kanseri tanısı almıştı. MR
yöntemi ile endometrium kanseri tanılı hastada myometrial invazyon tespitinde
duyarlılık (%78.43), özgüllük (%93.23), doğruluk (%81.12) olarak tespit edildi.

Sonuç: EK’inde Mİ varlığını
değerlendirmede, ameliyat öncesi MR görüntülemenin önemli bir yöntem olduğu
izlendi.
Sonik Enerji ile Aktive Edilen Bulk-Fill Kompozit Rezinin Cam İyonomer Esaslı Materyallere Bağlanma Dayanımının Değerlendirilmesi
Authors: TÜLOĞLU Nuray , KIZILASLAN Sena , BAYRAK Şule
Published: September 2019

Amaç: Bu araştırmanın amacı, sonik
enerji ile aktive edilen nano hibrit bulk-fill kompozit rezinin (SonicFill) cam
iyonomer esaslı materyallere makaslama bağlanma dayanımını değerlendirmektir.

Yöntem: Araştırmamızda 4 mm çapında ve
2 mm derinlikte silindirik boşlukları bulunan 26 adet akrilik blok hazırlandı
ve kullanılan cam iyonomer esaslı materyale göre rastgele iki gruba (n=13)
ayrıldı; geleneksel cam iyonomer siman ve rezin modifiye cam iyonomer siman.
Üretici firmaların talimatlarına göre hazırlanan cam iyonomer simanlar akrilik
bloklardaki boşluklara yerleştirildi. Adeziv işlemlerin ardından, cam iyonomer
simanların üzerine 2.3 mm çapında ve 3 mm yüksekliğinde silindirik plastik
kalıplar yardımıyla SonicFill uygulandı ve ardından ışıkla polimerize edildi. Tüm
örnekler 24 saat nemli ortamda bekletildikten sonra makaslama bağlanma dayanım
değerleri universal test cihazı kullanılarak ölçüldü. Elde edilen verilerin
istatistiksel analizinde bağımsız iki örnek T testi kullanıldı.

Bulgular: Ortalama makaslama bağlanma
dayanımı ve standart sapma değerleri geleneksel cam iyonomer grubunda 10.52 ± 1.63,
rezin modifiye cam iyonomer siman grubunda ise 14.85 ± 1.79 olarak tespit
edildi. Gruplar arasında makaslama bağlanma dayanımı açısından istatistiksel
olarak anlamlı bir fark olduğu saptandı (p<0.05).

Sonuç: İn vitro olarak yapılan bu
araştırmanın sınırlamaları dahilinde, sonik enerji ile aktive edilen nano hibrit
bulk-fill kompozit rezinlerin altında cam iyonomer siman kullanılacağı zaman
geleneksel cam iyonomer simandan daha yüksek makaslama bağlanma dayanımına
sahip olan rezin modifiye cam iyonomer simanların kullanılması tercih
edilebilir. Bununla birlikte, bu in vitro
araştırmanın bulgularını destekleyecek gelecek klinik çalışmalara ihtiyaç
vardır.
Study of the Hejő brook watershed fish fauna
Authors: Harka Ákos , Szepesi Zsolt
Published: September 2019

Literature sources mention 18 fish species from the Hejő watershed. In order to learn more about the fauna, we studied the brook and its tributaries between 2003–2005. We detected a total of 32 fishspecies, 17 of which are new for the watershed. Most of these are native species (Rutilus rutilus, Leuciscus leuciscus, Leuciscus idus, Aspius aspius, Leucaspius delineatus, Gobio albipinnatus, Abramis bjoerkna, Abramis ballerus, Lota lota, Gymnocephalus cernuus, Sander lucioperca), but there are some adventive ones (Pseudorasbora parva, Carassius gibelio, Ameiurus melas, Lepomis gibbosus, Perccottus glenii) and a spontaneously immigrated species as well (Proterorhinus marmoratus).Specific natural values of the watershed are the isolated population of minnow (Phoxinus phoxinus) in Kulcsárvölgyi Brook and the frequently occurring mudminnow (Umbra krameri) in the lower reach of Hejő Brook.
The possibilities of biomass utilization in the field of spatial development
Authors: Antal József , Grasseli Gábor
Published: September 2019

By joining the European Union, Hungary made a commitment to increasingly utilize renewable energy sources. Keeping in view the agricultural circumstances of Hungary, we can state that biomass utilization has, overall, the greatest range of possibilities to use its products as ‘energy sources’. Biomass raw materials are useful in meeting emission control regulations for environment protection and to reduce climate change. The role of biomass production in spatial and rural development and in rural employment, and also in the decrease of Hungary’s energy dependence, supports development in biomass energy use. My aim in studying biomass utilization is the creation of a micro-regional level, decentralised, agro-energetic system-model for the use of plant and animal biomass for energy purposes, whether naturally or by anthropogenic activity, on agro- and sylvicultural areas, and on animal breeding farms. This model simulation method serves as a planning base for policy-makers during the spatial planning processes. The examination is presently in the stage of data collection. The collection of the basic data of the examination area and the purchase of the necessary equipment, materials and maps has already started. Contact has been made with local stakeholders, municipalities, municipality associations and micro-region managers.
The aggregate stability of the soil in respect to the uniform aggregate stability indicator
Authors: Huisz Andrea
Published: September 2019

Soil structure and its quality are fundamental properties because they control many processes in soils. Tillage, crop and other factors influence soil structure. Efficient protection of it needs indication of changes in soil structure. A new Normalized Stability Index proposed by Six et al. (2000) tries to evaluate these changes, which was compared with some former used indices. The most common method (wet sieving) was modified to reduce the confounding effects of different particle size distribution of different soil types and method used to the investigation. Changes in soil structure caused by tillage and crop management therefore have been made quantitative and comparable. In this paper, we review the new method and Normalized Stability Index proposed by Six et al. (2000) and present the results of our investigations.