bluuebunny/crossref_metadata_2025 huggingface dataset:
Ranged Subgroup Particle Swarm Optimization for Localizing Multiple Odor Sources
Authors: Jatmiko W. , Pambuko W. , Febrian A. , Mursanto P. , Muis A. , Kusumoputro B. , Sekiyama K. , Fukuda T.
Published: November 2017

A new algorithm based on Modified Particle Swarm Optimization (MPSO) that follows is a local gradient of a chemical concentration within a plume and follows the direction of the wind velocity is investigated. Moreover, the niche or parallel search characteristic is adopted on MPSO to solve the multi-peak and multi-source problem. When using parallel MPSO, subgroup of robot is introduced then each subgroup can locate the odor source. Unfortunately, there is a possibility that more that one subgroup locates one odor sources. This is inefficient because other subgroups locate other source, then we proposed a ranged subgroup method for coping for that problem, then the searching performance will increase. Finally ODE (Open Dynamics Engine) library is used for physical modeling of the robot like friction, balancing moment and others so that the simulation adequate to accurately address the real life scenario.
Reliable Data Broadcast for Zigbee Wireless Sensor Networks
Authors: Sung Tien-Wen , Wu Ting-Ting , Yang Chu-Sing , Huang Yueh-Min
Published: November 2017

As we know, the data transmission in the wireless networks is more unreliable than it is in the wired network environment. Although the virtual carrier sensing scheme can be used in the wireless unicast transmission, the multicast and broadcast still not utilize the acknowledgement mechanism for reliable transmission. This is due to the acknowledgement packets of broadcast transmission will cause much higher communication traffic and overhead. Since reliable data broadcast is critical and required in many applications in the wireless sensor networks, our study focuses on the ZigBee network which is a new industrial standard for sensor networks. Some previous related papers improved the broadcast reliability by introducing redundant transmission and increasing coverage ratio of every receiver node, but there still exists probability of packet loss and extra communication cost due to redundant broadcast. This paper proposes an efficient acknowledgement-based approach for reliable data broadcast in wireless sensor networks. Hierarchical acknowledgement mechanism, reduction of rebroadcast packets and ACK packets, degree-based ACK/rebroadcast Jitter, and parent-oriented retransmission are the key schemes to achieve the efficient data broadcast. Simulation results show that the proposed schemes can efficiently reduce the acknowledgement traffic as well as communication overhead and provide the high reliable data broadcast transmission in ZigBee networks..
Fundamental Study of Magnetically Levitated Contact-Free Micro-Bearing for Mems Applications
Authors: Nakao T. , Han H. , Koshimoto Y.
Published: November 2017

In this paper, the authors introduced a new approach to realize a contact-free micro-bearing for MEMS (Micro-Electro-Mechanical-Systems) applications. In the proposed idea, the mechanism of magnetic repulsion by eddy current was employed. Numerical analysis and experimental research was performed. In the proposed structure having a ringed magnetic circuit having a circularly-arranged gap (gapped-core), the generated magnetic flux was concentrated with high density and showed precipitously gradient in the magnetic field and also showed a larger of repulsive force comparing to the general electromagnetic (iron-core). Advantage of the proposed method and its viability as a contact-free Micro-bearing was discussed.
Nanosensors Engineering: I. Structurally Modulated Sno2 Nanowires
Authors: Dmitriev S.
Published: November 2017

– The results of research aimed at the gas sensing nanowires (NWs) engineering are presented. Structurally modulated SnO2 NWs were obtained at 900°C in the modified vapor-solid process, allowing that NW morphology could be encoded in a programmable way along its length. PVD technique was used for Ti/Au electrical contacts deposition and gas sensitive nanoscale chemiresistors formation.

Created nanostructures were characterized for their gas sensing performance. It was established that structurally-modulated NWs possess better gas sensitive characteristics in comparison with the straight ones. Obtained results are discussed from the positions of single-crystal “necks” formation in NWs.
A Coarse-to-Fine Approach for Remote-Sensing Image Registration Based on a Local Method
Authors: Lee Sang Rok
Published: November 2017

Multispectral satellite imagery registration is a fundamental step for remote sensing applications such as global change detection, feature classification, and image fusion. Since image registration via the manual selection of control points is a repetitive and time-intensive task, a more efficient automatic coarse-to-fine algorithm for multispectral remote sensing image registration is proposed in this paper. First, for the coarse registration, the Haar Wavelet Transform (HWT) is adopted to produce lower-resolution levels of reference and input images; then, the Speeded Up Robust Features (SURF) algorithm is utilized for quickly searching for matching points. After the coarse registration is completed, the Harris operator is used to extract feature points, and initial correspondences are established using the normalized cross-correlation to achieve the fine registration. Second, in order to remove mismatched points, the RANdom SAmple Consensus (RANSAC) algorithm is applied to putative correspondences. Due to large amount of satellite image data available, we used block processing in the refined registration to increase the efficiency in memory use. Finally, the final transformation function is obtained via the local weighted mean method in order to deal with local geometric differences between the reference and input images. Compared to global registration by manually selecting the control points, the proposed method is fully automatic and computationally efficient. Experimental results with well-known data sets (Worldview-1,2 and Quickbird remote-sensing images) again demonstrate the accuracy and effectiveness of the proposed algorithm for multispectral remote-sensing image registration.
Characterization Of Cracks And Delaminations Using Pwas Ad Lamb Wave Based Time-Frequency Methods
Authors: Gangadharan R. , Murthy C.R.L. , Gopalakrishnan S. , Bhat M.R. , Mahapatra D. Roy
Published: November 2017

Use of smart sensor technology along with intelligent signal processing plays a crucial role in the implementation and working of ultrasonic wave based damage detection system. In this work, the interaction of A0 Lamb mode with damages like crack and delamination are studied. Piezoelectric Wafer Active Sensors (PWAS) are used for generation of Lamb waves to detect damages in metal and composite structures. Experiments were conducted on aluminum plates to study the interaction of Lamb wave with crack oriented at different angles and on a titanium turbine blade of complex geometry with a fine surface crack. A geodesic based Lamb wave approach was employed to locate a crack in an aluminum plate. The existing geodesic algorithm is improved by replacing the Dijkstra’s algorithm with the accurate fast marching method. Further, the interactions of A0 mode with multiple layer delaminations in glass fiber epoxy composite laminates were studied. Spectral Finite Element Method (SFEM) is used for numerical simulation to validate the experimental results. Time-frequency analysis techniques, namely Wavelet Transform (WT) and Hilbert Huang transform (HHT) are used to study the experimental signals and their performances were compared. This study provides significant insight into the problem of identifying localized damages in the structure using integrated PWAS and dispersion of multi-frequency signal after they interact with different types of damage.
Long-Reach Flying Functional Inkjet System By Employing Electrostatic Acceleration
Authors: Nishimura Y. , Han Hirofumi , Koshimoto Y.
Published: November 2017

In this paper, the authors proposed a novel idea of a long-reach flying inkjet system employing electrostatically-accelerated ink drop for the purpose of functional ink micro pattern plotting by contact-free and environment friendly. Proposed working principle was demonstrated through experiment and analysis. At the 5-mm of electrode gap and φ 120 μm of nozzle, the applicable maximum voltage was 3.5kV realizing 67% up (1.67 times) of droplet flying velocity by one-step of accelerating. By φ 10 μm of droplet, over 35m/s of flying velocity was promising and by 2~3 steps of acceleratingfurther of speed increment could be expected.
System Identification Of Nonlinear Autoregressive Models In Monitoring Dengue Infection
Authors: Rahim H. Abdul , Ibrahim F. , Taib M. N.
Published: November 2017

This paper proposes system identification on application of nonlinear AR (NAR) based on Artificial Neural Network (ANN) for monitor of dengue infections. In building the model, three selection criteria, i.e. the final prediction error (FPE), Akaike’s Information Criteria (AIC), and Lipschitz number were used. Each of the models is divided into two approaches, which are unregularized approach and regularized approach. The findings indicate that NARMAX model with regularized approach yields better accuracy by 80.60%. The best parameters’ settings for this thesis can be found using the Lipschitz number criterion for the model order selection with artificial neural network structure of 4 trained using the Levenberg Marquardt algorithm.
The Use Of Optical Sensors To Estimate Pasture Quality
Authors: Pullanagari R.R. , Yule I. , King W. , Dalley D. , Dynes R.
Published: November 2017

Optical remote sensing tools are being used in a number of agricultural applications by recording an object’s transmission of electromagnetic energy from reflecting and radiating surfaces. This unique spectral information is used to characterize the features of green vegetation. With the development of proximal sensing tools, vegetation or crop health can be determined and monitored in real-time. This information provides an opportunity for precise management of input resources to optimise plant growth and reduce the potential for an adverse environmental effect.

Pasture management is of major importance in New Zealand. This paper describes the operation of multispectral (Crop Circle™ and CROPSCAN™) and hyper spectral sensors (ASD Field Spec® Pro) to explore the pasture quality and quantity. The ability to manage these factors is an important component in grazing, livestock management, and a key driver of animal performance and productivity. The results indicate that these sensors have the potential to assess vegetation characteristics.
Humidity sensor based on silver nanoparticles embedded in a polymeric coating
Authors: Rivero Pedro J. , Urrutia Aitor , Goicoechea Javier , Arregui Francisco J. , Matías Ignacio R.
Published: November 2017

In this work, it is presented a novel optical fiber humidity sensor based on silver nanoparticle-loaded polymeric coatings built onto an optical fiber core. The polymeric film was fabricated using the Layer-by-Layer assembly technique. The silver nanoparticles (Ag NPs) were characterized using transmission electron microscopy (TEM and UV-VIS spectroscopy. A Localized Surface Plasmon Resonance (LSPR) attenuation band is observed when the thickness of the coating increases, and showed a very good sensitivity to Relative Humidity (RH) variations, suitable for high performance applications such as human breathing monitoring.
Study on Light Response of Pachira Aquatica’S Leaf Via Surface Plasmon Resonance Technique
Authors: Li Yu-Chu M. , Chang Wei-Chin , Huang Chao-Ming , Tsai Tsung-Yen , Chen Yen-Hong A.
Published: November 2017

Light response of a pachira aquatica’s leaf at room temperature was investigated with a strong p-wave electromagnetic field by utilizing a surface plasmon resonance (SPR) based sensor technique of angular interrogation method for biological and chemical sensing. The essential principle of SPR biosensing is based on measurement of the change regarding leaf’s microstructure against the sensor’s metallic surface owing to the interaction with the strong p-wave electromagnetic field. The test result shows that the pachira aquatica’s leaf responds to each light lamp within 1 minute.
Continuous Time Identification and Decentralized Pid Controller of an Aerothermic Process
Authors: Ramzi M. , Youlal H. , Haloua M.
Published: November 2017

The interactions between input/output in multivariable processes represent a major challenge in the design of decentralized controllers. In this paper, a simple method for the design of decentralized PID controller is proposed. It consists to combine the conventional PID controller with the static decoupler approach. For each single loop, the individual controller is independently designed by applying the internal model control (IMC) tuning rules. To demonstrate the effectiveness of the proposed method, the PID controller with and without decoupling is implemented on an aerothermic process. It is a pilot scale heating and ventilation system equipped with a heater grid and a centrifugal blower, fully connected through the Humusoft MF624 data acquisition system for real time control. The outcome of the experimental results is that the main control objectives, such as set-point tracking and interactions rejection are well achieved. The experimental results have shown that the proposed method provides a significant improvement compared to conventional PID controller.
Non-Minimum Phase Model of Vertical Position Electro-Hydraulic Cylinder for Trajectory Zpetc
Authors: Ishak Norlela , Tajjudin Mazidah , Ismail Hashimah , Patrick Michael , Sam Yahaya Md , Adnan Ramli
Published: November 2017

Hydraulic actuator has been widely used in industrial applications due to its fast response and capability of moving heavy load. The nonlinear properties of hydraulic cylinder had challenged researchers to design a suitable controller for position control, motion control and tracking control. Based on these problems, we had done a real-time digital tracking control studies on electro-hydraulic cylinder using trajectory zero phase error tracking control (ZPETC) without factorization of zeros polynomial algorithm. With the proposed strategy, the controller parameters are determined using comparing coefficients methods. The electro-hydraulic system mathematical model is approximated using system identification technique with non-minimum phase system being considered. The real-time experimental result will be compared with simulation result using a model from a real plant.
Physical and Virtual Intelligent Sensors for Integrated Health Management Systems
Authors: Mahajan Ajay , Oesch Christopher , Padmanaban Haricharan , Utterback Lucas , Chitikeshi Sanjeevi , Figueroa Fernando
Published: November 2017

This paper describes the development of intelligent sensors as part of an integrated systems approach. The integrated systems approach treats the sensor as a complete system with its own sensing hardware (the traditional sensor), A/D converter, processing and storage capabilities, software drivers, self-assessment algorithms and communication protocols. The immediate application is the monitoring of rocket test stands, but the technology should be generally applicable to the Integrated Systems Health Monitoring (ISHM) vision. This paper outlines progress made in the development of intelligent sensors by describing the work done to date on Physical Intelligent Sensors (PIS) and Virtual Intelligent Sensors (VIS). The PIS as discussed here consists of a thermocouple used to read temperature in an analog form which is then converted into digital values. A microprocessor collects the sensor readings and runs numerous embedded event detection routines on the digital data. If any event, i.e. spike, drift, noise, is detected, it is reported, stored and sent to a remote system through an Ethernet connection. Hence the output of the PIS is data coupled with a confidence factor in the reliability of the data. The VIS discussed here is a virtual implantation of the PIS in C++. The VIS is designed to mirror the operations of the PIS; however, the VIS works on a computer at which digital data is provided as the input and is thus portable to any sensor system. This work lays the foundation for the next generation of smart devices that have embedded intelligence for distributed decision making capabilities.
Stochastic Goals in Financial Planning for a Two-Person Household
Authors: Pietrzyk Radosław , Rokita Paweł
Published: November 2017

In household financial planning two types of risk are typically being taken into account. These are life-length risk and risk connected with financing. In addition, also various types of events of insurance character, like health deterioration, are sometimes taken into account. There are, however, no models addressing stochastic nature of household financial goals. The last should not be confused with modelling factors that influence performance of financing the goals, which is a popular research topic. The problem of modelling goals themselves is, in turn, not so well explored. There are two main characteristics that describe a goal: magnitude and time. At least for some goals one or both of these characteristics may show a stochastic nature. This article puts forward a proposition of working goal time and magnitude into a household financial plan and taking their distributions into account when optimizing the plan. A model of two-person household is used. The decision variables of the optimization task are consumption-investment proportion and division of household investments between household members.
Conceptualizing Subjective Well-Being and its Many Dimensions – Implications for Data Collection in Official Statistics and for Policy Relevance
Authors: Mackie Christopher , Smith Conal
Published: November 2017

Subjective well-being encompasses several distinct but interacting aspects of people’s feelings, attitudes, and experiences. This paper assesses the state of the art for measuring these dimensions of people’s lives, which typically involves analyzing self-reports of subjective well-being collected in survey instruments; however, other potentially complementary, technology-driven tools are emerging as well. We first answer the question, “what is subjective well-being?” and unpack its multidimensionality. The role of national statistics offices in measuring subjective well-being and deriving official statistics is considered next. We conclude by discussing how different characteristics of well-being constructs shape their applicability to policy. The overarching conclusion is that–while methodological limitations are present and a number of fundamental research challenges remain–understanding of how to collect and interpret data on subjective well-being has made enormous strides in the last two decades, and policies for a wide range of domains are beginning to be usefully informed.
Sae Teaching Using Simulations
Authors: Burgard Jan Pablo , Münnich Ralf
Published: November 2017

The increasing interest in applying small area estimation methods urges the needs for training in small area estimation. To better understand the behaviour of small area estimators in practice, simulations are a feasible way for evaluating and teaching properties of the estimators of interest. By designing such simulation studies, students gain a deeper understanding of small area estimation methods. Thus, we encourage to use appropriate simulations as an additional interactive tool in teaching small area estimation methods.
Small Area Estimation in the German Census 2011
Authors: Münnich Ralf , Burgard Jan Pablo , Gabler Siegfried , Ganninger Matthias , Kolb Jan-Philipp
Published: November 2017

In 2011, Germany conducted the first census after the reunification. In contrast to a classical census, a register-assisted census was implemented using population register data and an additional sample. This paper provides an overview of how the sampling design recommendations were set up in order to fulfil legal requirements and to guarantee an optimal but still flexible source of information. The aim was to develop a design that fosters an accurate estimation of the main objective of the census, the total population counts. Further, the design should also adequately support the application of small area estimation methods. Some empirical results are given to provide an assessment of selected methods. The research was conducted within the German Census Sampling and Estimation research project, financially supported by the German Federal Statistical Office.
Development of Small Area Estimation in Official Statistics1
Authors: Kordos Jan
Published: November 2017

The author begins with a general assessment of the mission of the National Statistics Institutes (NSIs), main producers of official statistics, which are obliged to deliver high quality statistical information on the state and evolution of the population, the economy, the society and the environment. These statistical results must be based on scientific principles and methods. They must be made available to the public, politics, economy and research for decision-making and information purposes.

Next, before discussing general issues of small area estimation (SAE) in official statistics, the author reminds: the methods of sampling surveys, data collection, estimation procedures, and data quality assessment used for official statistics. Statistical information is published in different breakdowns with stable or even decreasing budget while being legally bound to control the response burden. Special attention is paid, from a practitioner point of view, to synthetic development of small area estimation in official statistics, beginning with international seminars and conferences devoted to SAE procedures and methods (starting with the Canadian symposium, 1985, and the Warsaw conference, 1992, to the Poznan conference, Poland, 2014), and some international projects (EURAREA, SAMPLE, BIAS, AMELI, ESSnet). Next, some aspects of development of SAE in official statistics are discussed. At the end some conclusions regarding quality of SAE procedures are considered.
Some Effective Estimation Procedures Under Non-Response in Two-Phase Successive Sampling
Authors: Singh G. N. , Khetan M. , Maurya S.
Published: November 2017

This work is designed to assess the effect of non-response in estimation of the current population mean in two-phase successive sampling on two occasions. Sub-sampling technique of non-respondents has been used and exponential methods of estimation under two-phase successive sampling arrangement have been proposed. Properties of the proposed estimation procedures have been examined. Empirical studies are carried out to justify the suggested estimation procedures and suitable recommendations have been made to the survey practitioners.
Transmuted Kumaraswamy Distribution
Authors: Khan Muhammad Shuaib , King Robert , Hudson Irene Lena
Published: November 2017

The Kumaraswamy distribution is the most widely applied statistical distribution in hydrological problems and many natural phenomena. We propose a generalization of the Kumaraswamy distribution referred to as the transmuted Kumaraswamy (TKw) distribution. The new transmuted distribution is developed using the quadratic rank transmutation map studied by Shaw et al. (2009). A comprehensive account of the mathematical properties of the new distribution is provided. Explicit expressions are derived for the moments, moment generating function, entropy, mean deviation, Bonferroni and Lorenz curves, and formulated moments for order statistics. The TKw distribution parameters are estimated by using the method of maximum likelihood. Monte Carlo simulation is performed in order to investigate the performance of MLEs. The flood data and HIV/AIDS data applications illustrate the usefulness of the proposed model.
Heteroscedastic Discriminant Analysis Combined with Feature Selection for Credit Scoring
Authors: Stąpor Katarzyna , Smolarczyk Tomasz , Fabian Piotr
Published: November 2017

Credit granting is a fundamental question and one of the most complex tasks that every credit institution is faced with. Typically, credit scoring databases are often large and characterized by redundant and irrelevant features. An effective classification model will objectively help managers instead of intuitive experience. This study proposes an approach for building a credit scoring model based on the combination of heteroscedastic extension (Loog, Duin, 2002) of classical Fisher Linear Discriminant Analysis (Fisher, 1936, Krzyśko, 1990) and a feature selection algorithm that retains sufficient information for classification purpose. We have tested five feature subset selection algorithms: two filters and three wrappers. To evaluate the accuracy of the proposed credit scoring model and to compare it with the existing approaches we have used the German credit data set from the study (Chen, Li, 2010). The results of our study suggest that the proposed hybrid approach is an effective and promising method for building credit scoring models.
Small Area Estimation of Income under Spatial Sar Model
Authors: Kubacki Jan , Jędrzejczak Alina
Published: November 2017

The paper presents the method of hierarchical Bayes (HB) estimation under small area models with spatially correlated random effects and a spatial structure implied by the Simultaneous Autoregressive (SAR) process. The idea was to improve the spatial EBLUP by incorporating the HB approach into the estimation algorithm. The computation procedure applied in the paper uses the concept of sampling from a posterior distribution under generalized linear mixed models implemented in WinBUGS software and adapts the idea of parameter estimation for small areas by means of the HB method in the case of known model hyperparameters. The illustration of the approach mentioned above was based on a real-world example concerning household income data. The precision of the direct estimators was determined using own three-stage procedure which employs Balanced Repeated Replication, bootstrap and Generalized Variance Function. Additional simulations were conducted to show the influence of the spatial autoregression coefficient on the estimation error reduction. The computations performed by ‘sae’ package for R project and a special procedure for WinBUGS reveal that the method provides reliable estimates of small area means. For high spatial correlation between domains, noticeable MSE reduction was observed, which seems more evident for HB-SAR method as compared with the traditional spatial EBLUP. In our opinion, the Gibbs sampler, revealing the simultaneous nature of processes, especially for random effects, can be a good starting point for the simulations based on stochastic SAR processes.
Modelling Road Traffic Crashes Using Spatial Autoregressive Model With Additional Endogenous Variable
Authors: Olubusoye Olusanya Elisa , Korter Grace Oluwatoyin , Salisu Afees Adebare
Published: November 2017

Road traffic crashes have become a global issue of concern because of the number of deaths and injuries. The model of interest is a linear cross sectional Spatial Autoregressive (SAR) model with additional endogenous variables, exogenous variables and SAR disturbances. The focus is on RTC in Oyo state, Nigeria. The number of RTC in each LGA of the state is the dependent variable. A 33×33 weights matrix; travel density; land area and major road length of each LGA were used as exogenous variables and population was the IV. The objective is to determine the hotspots and examine whether the number of RTC cases in a given LGA is affected by the number of RTC cases of neighbouring LGAs and an instrumental variable. The hotspots include Oluyole, Ido, Akinyele, Egbeda, Atiba, Oyo East, and Ogbomosho South LGAs. The study concludes that the number of RTC in a given LGA is affected by the number of RTC in contiguous LGAs. The policy implication is that road safety and security measures must be administered simultaneously to LGAs with high concentration of RTC and their neighbours to achieve significant remedial effect.
Evaluation of the EU Countries’ Innovative Potential – Multivariate Approach
Authors: Roszko-Wójtowicz Elżbieta , Białek Jacek
Published: November 2017

The aim of the article is to work out a synthetic measure for estimating country’s innovation potential (CIP) of EU economies. For the purpose of the research, data from the European Statistical Office (Eurostat) are used and several indicators are organized by four different areas of analysis, i.e. investment expenditure, education, labour market and effects. Applying multi-dimensional statistics allows us to reduce the primary set of diagnostics variables and, simultaneously, identify those which best describe the potential. The final step is linear ordering of EU countries according to their innovative potential on the basis of CIP synthetic measure. The rating is compared with other ratings based on the recognizedSummary Innovation IndexandGlobal Innovation Index.The main conclusion is that the methodology of innovativeness assessment remains an open issue and requires further research. The most important task is the selection of indicators, followed by statistical verification in relation to their importance to innovativeness. The results show that there is a tendency to between the author’s ratings and other already published ratings of innovativeness.
A Three-Parameter Weighted Lindley Distribution and its Applications to Model Survival Time
Authors: Shanker Rama , Shukla Kamlesh Kumar , Mishra Amarendra
Published: November 2017

In this paper a three-parameter weighted Lindley distribution, including Lindley distribution introduced by Lindley (1958), a two-parameter gamma distribution, a two-parameter weighted Lindley distribution introduced by Ghitany et al. (2011) and exponential distribution as special cases, has been suggested for modelling lifetime data from engineering and biomedical sciences. The structural properties of the distribution including moments, coefficient of variation, skewness, kurtosis and index of dispersion have been derived and discussed. The reliability properties, including hazard rate function and mean residual life function, have been discussed. The estimation of its parameters has been discussed using the maximum likelihood method and the applications of the distribution have been explained through some survival time data of a group of patients suffering from head and neck cancer, and the fit has been compared with a one-parameter Lindley distribution and a two-parameter weighted Lindley distribution.
MULHERES NO CLIMATÉRIO E OS FATORES INTERFERENTES SOBRE A SAÚDE
Authors: Conte Franciéli Aline , Bento Franz Lígia Beatriz
Published: November 2017

O climatério é um processo natural que faz parte do envelhecimento feminino e é marcado por modificações hormonais que podem influenciar a saúde. Objetivo: avaliar os fatores que influenciam sobre a saúde de mulheres no climatério. Métodos: pesquisa de revisão bibliográfica encontrada em livros, sites e periódicos eletrônicos como: Scielo, Lilacs e Bireme, em língua portuguesa e inglesa, entre os anos de 2007 e 2015. As mudanças hormonais do período do climatério promovem modificações morfológicas, metabólicas e fisiológicas que podem contribuir para o desenvolvimento de doenças crônicas, no entanto fatores exógenos, como alimentação e hábitos de vida, também influenciam sobre a saúde/doença. Alguns alimentos auxiliam na minimização dos desconfortos dos sintomas do climatério e na prevenção de doenças, bem como trabalhos de promoção e prevenção da saúde. O acesso à informação, a monitoração do estado nutricional e de saúde, e a educação alimentar e nutricional podem contribuir na minimização de sintomas do climatério e na prevenção de agravos crônicos não transmissíveis.
ANÁLISE MICROBIOLÓGICA EM FORMULAÇÕES DE XAMPU: O CONTROLE DA QUALIDADE EM PRODUTOS COM E SEM CONSERVANTES
Authors: Vieira Isabel Boff , Moreira Angélica Cristiane , Frizzo Matias Nunes
Published: November 2017

O controle de qualidade avalia as características físico-químicas e microbiológicas da formulação, que são fundamentais para garantir a eficácia, segurança e qualidade dos cosméticos. O objetivo deste trabalho foi avaliar a qualidade microbiológica e físico-química de formulações de xampus manipulados com e sem a adição de conservantes. Foi realizado um estudo com caráter quanti-qualitativo descritivo e experimental, a partir de análises dos xampus manipulados com e sem a adição de conservantes. As análises foram feitas no momento do preparo, 30 e 60 dias após a manipulação. Os resultados encontrados mostraram que as amostras não apresentaram alterações das características organolépticas, e nos testes de estabilidade houve diminuição do pH, demonstrando instabilidade. Quanto à análise microbiológica, foram identificados nos três tempos todos os microorganismos patógenos: Sthapylococcus aureus, Salmonella sp., Pseudomonas aeruginosa e Escherichia coli. A utilização do conservante não obteve os resultados esperados, pois as formulações de xampu com e sem conservantes apresentaram alterações no pH, densidade, viscosidade e contaminação microbiológica, não estando aptas para serem utilizadas.
ANÁLISE DA PREVALÊNCIA PARASITOLÓGICA EM AMOSTRAS FECAIS DE CRIANÇAS DE UMA ESCOLA DA REDE PÚBLICA DO ESTADO DE MINAS GERAIS
Authors: Da Silva Patrick Leonardo Nogueira , Cerqueira Fagner Alves , Ferraz Raphael Santos , Vaz Maria Dolores Tiago , Fonseca José Ronivon
Published: November 2017

Introdução: as infecções parasitárias configuram um grave problema de saúde pública no Brasil, principalmente entre crianças, em decorrência de condições socioeconômicas e higiênico-sanitárias. Objetivo: analisar a prevalência parasitológica em amostras fecais de crianças de uma escola da rede pública do Estado de Minas Gerais. Método: trata-se de um estudo descritivo, exploratório, analítico, prospectivo, com abordagem quantitativa, realizada com 28 crianças com idade entre 6-10 anos de uma escola da rede pública. Foram analisadas amostras de fezes pelo método de Hoffman, Pons e Janer. Resultados: observou-se que 78,5% (n=22) das amostras apresentaram positividade parasitológica em ambos os sexos. Houve prevalência infecciosa de crianças do sexo feminino (n=18; 63,7%) as quais encontram-se com 6 anos de idade (n=14; 50,0%). As espécies de maior prevalência foram: Giardia lamblia (n=9; 31,8%), Entamoeba coli (n=6; 22,7%), Hymenolepis nana (n=6; 22,7%). Conclusão: as condições precárias ocasionadas pela deficiência de administrações públicas fazem com que famílias de renda baixa se aglomerem em regiões com pouco saneamento básico, tornando-se fácil a contaminação por parasitas. 
COMPARAÇÃO ENTRE ESTRATÉGIAS DE FARMACOVIGILÂNCIA HOSPITALAR NOS PAÍSES DA AMÉRICA LATINA
Authors: Côrrea Jaqueline , Lorenz Camile , Colet Christiane De Fátima
Published: November 2017

Objetivo: No Brasil, as atividades relacionadas à farmacovigilância ainda são recentes, existindo poucas informações sobre a incidência de Reações Adversas a Medicamentos. O objetivo deste trabalho foi comparar os estudos publicados na literatura sobre Farmacovigilância Hospitalar nos países da América Latina. Trata-se de um estudo de revisão sobre Farmacovigilância Hospitalar nos países da América Latina. Foram selecionados artigos de coleta de dados publicados no período de 1999 a 2011. Foram selecionados 11 estudos com pacientes internados em Hospitais, principalmente públicos e universitários, em diferentes países, como Brasil, Colômbia, Cuba, Venezuela e Uruguai. Dos estudos inclusos neste artigo, 81,81% foi do tipo descritivo, com busca ativa por intermédio de entrevista estruturada ou análises de prontuários. Todos os artigos estudados tiveram acompanhamento farmacêutico. Dos estudos pesquisados, 90% foram realizados num período de três meses. Dentre os estudos, cinco utilizaram algoritmos de Naranjo para a coleta de dados de Reações Adversas a Medicamentos. Quanto às classificações utilizadas pelos artigos pesquisados, a maioria baseou-se nas Reações Adversas a Medicamentos quanto à causalidade, pois se trata de uma maneira mais completa de se pesquisar as notificações quanto aos medicamentos. Há necessidade, portanto, de se conhecer o perfil de uso de medicamentos antes da hospitalização do paciente, bem como de se ter estudos sobre a frequência das Reações Adversas a Medicamentos. Os pacientes hospitalizados são mais suscetíveis a doenças e, dependendo do seu estado patológico, pode receber diversos medicamentos; por isso a importância do monitoramento da administração dos fármacos para que não ocorram reações adversas a medicamentos quando for exigido tratamento prolongado ou uso contínuo dos mesmos.
PROGRAMA DE EDUCAÇÃO PELO TRABALHO NA SAÚDE MENTAL EM UM MUNICÍPIO NO SUL DO BRASIL
Authors: Duarte Maria de Lourdes Custódio , Porto Liege Brum , Scholz Danielle Celi , Torres Odete Messa
Published: November 2017

O presente estudo objetiva relatar a experiência do Programa de Educação pelo Trabalho (PET) Saúde Mental com ênfase em crack, álcool e outras drogas em um município do Sul do Brasil no ano de 2011. Esse Programa contou com a participação de acadêmicos de Graduação, preceptores do Centro de Atenção Psicossocial (Caps), tutor e professor colaborador, que tiveram o propósito de qualificar a atenção em saúde mental junto aos profissionais que atuam diretamente com pessoas que fazem uso de substâncias psicoativas. Foram evidenciados desafios e potencialidades durante o período de execução desse Programa, como falta de qualificação profissional no âmbito da dependência química, além de uma restrita rede de serviços. No que diz respeito às potencialidades, destacam-se projetos para ampliação da rede por meio de parcerias entre ensino e serviço. Enfatiza-se a importância desse Programa para o ensino, serviço, gestão e comunidade, tendo em vista a percepção global dos benefícios e resultados gerados no encontro de ações propositivas no território. 
DISCURSOS REFERENTES À FEBRE AMARELA NO CONTEXTO DA PRIMEIRA REPÚBLICA
Authors: Oliveira Stefanie Griebeler , Safranski Camila , Santos-Junior José Ricardo Guimarães dos , Velleda Kimberly Larroque , Oliveira Aline Daiane Leal de , Felipe Marcelle Di Angelis Ambar , Sella Marco Aurélio
Published: November 2017

Objetivo: Analisar as relações de saber e poder nos discursos sobre a febre amarela no período de 1890 a 1906 no Brasil. Métodos: Pesquisa documental de inspiração foucaultiana, em que tomamos a febre amarela como objeto histórico, no período de 1890 a 1906. O material empírico foi constituído por documentos legais que se referiram à febre amarela, publicados no Diário Oficial da União (D.O.U). Resultados: foram elaboradas três categorias: dos saberes possíveis sobre a febre amarela; a disciplina como forma de controle da febre amarela e a emergência discreta da biopolítica. Conclusão: Com essa análise foucaultiana foi possível concluir que a busca pelo saber se dá ao mesmo tempo em que o poder permite formas de controle e vigilância sobre os corpos que compõem a sociedade, sejam eles saudáveis ou não. 
GRUPO DE SAÚDE MENTAL: UM RELATO DE EXPERIÊNCIA NA EXTENSÃO UNIVERSITÁRIA
Authors: Duarte Maria de Lourdes Custódio , Kjellin Galuschka Thanyze Axel
Published: November 2017

Os transtornos mentais constituem um grave problema de saúde mental em âmbito mundial e afetam pessoas de todas as idades, culturas e níveis socioeconômicos. Dentre as inúmeras estratégias de apoio, de inserção e de estímulo à continuidade ao tratamento de pessoas com transtornos mentais, destacam-se os grupos na comunidade. Este estudo relata a experiência de uma acadêmica do curso de Enfermagem da Universidade Federal do Rio Grande do Sul, vinculada ao Projeto de Extensão ESF Pitoresca-Grupo Evolução, no período de 2014 e 2015. Evidenciou-se que os transtornos mentais que acometem com mais frequência os usuários do grupo são os de ansiedade, esquizofrenia, depressão e transtorno afetivo bipolar. Dessa maneira, a equipe da ESF Pitoresca, juntamente com a Universidade, entende essa atividade como uma ação que contribui no atendimento em saúde mental, sendo uma atividade que reinventa a vida em seu aspecto mais cotidiano.
Separability of or Overlap between Public Policy and Procedural Grounds for Refusal of Enforcement of Foreign Arbitral Awards under the New York Convention
Authors: Inglot Magdalena
Published: November 2017

-
Monika Domańska, Implementacja dyrektyw unijnych przez sądy krajowe (Implementation of EU Directives by National Courts), Warszawa 2014
Authors: Baran Mariusz
Published: November 2017

-
The Need For Proportionality: Assessing the Clash Between National Criminal Provisions and the Four Fundamental Freedoms in the Case Law of the European Court of Justice
Authors: Rosanò Alessandro
Published: November 2017

-
Principle of Clean Hands and Protection of Human Rights in International Investment Arbitration
Authors: Kałduński Marcin
Published: November 2017

-
The ICJ Judgment in the Case of a Maritime Dispute between Peru and Chile – Some Observations on the Importance of the Conduct of States
Authors: Połatyńska Joanna
Published: November 2017

-
Locatıon Housıng Affordabılıty as an Indıcator for Qualıty of Lıfe in Malaysıa
Authors: Hassan Mohd Azren , Hamdan Hazlina , Abdullah Jamalunlaili , Abddullah Yusfida Ayu
Published: November 2017

To have a quality of life is the ability to own a house. Housing affordability affects the quality of life concerning household well-being and economic security. The research sets to evaluate the location housing affordability for the low-income group base on housing and transportation expenditures in urban areas. 148 respondents have interviewed and by using an integrated Location Housing Affordability, it had indicated that location does influence housing affordability. The findings showed the urban area for the low-income group is seriously unaffordable. “Location" should be part of affordable housing because it affects housing affordability thus concerning the quality of life.
The Role of Co-housing in Building Sustainable Communities: Case studies from the UK
Authors: Wang Jingjing , Hadjri Karim
Published: November 2017

This paper explored the role of cohousing model in the UK and discussed the benefits and limitations of cohousing model by exploring cohousing residents’ motivation and daily living. Through case studies in the UK, semi-structured interviews were carried out to establish the environmental and social sustainability in cohousing and understand residents thinking and behaviour. This study found that cohousing can benefit various age groups, and promote residents’ thinking and behaviour change towards sustainable living. The study also found that the financial limitation and new members recruitment are the top two difficulties in cohousing development. The findings of this research will establish a better understanding of UK cohousing and highlight the potentials and possibilities of cohousing communities.
Elevated Highways and its Lost Spaces: A Review of Kuala Lumpur’s seldom seen
Authors: Mohamed Anuar Mohamed Ikhwan Nasir , Ahmad Raziah
Published: November 2017

The development of the urban highway in and around the city has created vast quantities of left over spaces that seldom integrated into formal planning and design. Vague on purpose, the interstitial spaces formed from these concrete “rivers” are referred as lost spaces. This paper aims to explore the urban interstices and investigate its possible usage. Site observation and photographic recordings of a case study were employed. The site characteristics were recorded in which findings suggested that the interstitial spaces have the potential to be planned and designed to cater adjacent community needs and usage.
Pendampingan Suami pada Ibu Bersalin Berhubungan dengan Keberhasilan Inisiasi Menyusu Dini
Authors: Fitriana Fitriana
Published: November 2017

Early Initiation of Breastfeeding is important for newborns to prevent high neonatal mortality. Early Initiation of Breastfeeding Is where a baby searchs for Mother’s nipple immediately after birth. This study aimed to analyze The relationship between husband assistance in maternity and the success of early initiation of breastfeeding. This study Is a quantitative research, analytical observational study with cross-sectional design. The sampling technique used total sampling. Sample was a total of 39 women whose delivery in private midwife clinics. DepokSleman while The data collection used questionnaire and observation sheets The result from logistic regression showed that husband assistance was significantly associated with early initiation of breastfeeding (OR=3.46; CI95%=1.44 to 6.00; P=0.014) husband assistance on maternity women may increase the success of maternity women to breastfeed their babies as early as possible.
A Web-Based Study of Dog Ownership and Depression Among People Living With HIV
Authors: Muldoon Abigail L , Kuhns Lisa M , Supple Julie , Jacobson Kristen C , Garofalo Robert
Published: November 2017

Background

People living with human immunodeficiency virus (PLHIV) are approximately twice as likely to be depressed compared with HIV-negative individuals. Depression is consistently associated with low antiretroviral therapy (ART) adherence, an important step within the HIV care continuum related to HIV disease progression and overall health. One factor that may have positive psychosocial benefits and promote ART adherence is dog ownership. Research indicates that dog ownership is associated with lower depression, and initial evidence suggests its positive impact on psychosocial outcomes for PLHIV.

Objective

The aim of our study was to expand the existing research by examining the relationship between current dog ownership and depression for a sample of PLHIV while controlling for demographic characteristics and other potential confounders.

Methods

Participants aged 18 years or older and who self-reported an HIV diagnosis were recruited via social media into When Dogs Heal, a cross-sectional Web-based survey to collect data among adult PLHIV. The research visit was conducted via a Web-based survey, and there was no in-person interaction with the participant. Primary outcome measures included demographic questions (age, race, ethnicity, gender, and sexual orientation), pet ownership (type of pet owned and current dog ownership), depression (Center for Epidemiologic Studies Depression Scale, 10 items), and resilience (Resilience Research Centre Adult Resilience Measure, 28 items).

Results

A total of 252 participants were enrolled into the study in January 2016, with a final analytic sample of 199 participants. Mean age was 49 years, 86.4% (172/199) of participants were male, and 80.4% (160/199) were white. Current dog ownership was prevalent among the sample (68.3%, 136/199). Bivariate analysis indicated that there was no significant relationship between depression and demographic characteristics (age, race, ethnicity, gender, and sexual orientation), with P>.05. The multivariate logistic regression, including age, race, ethnicity, gender, resilience, and current dog ownership, was significant, with P<.001. Of the 6 predictor variables, only 2 were statistically significant: dog ownership and resilience. Noncurrent dog owners had 3 times higher odds of depression in comparison with current dog owners: odds ratio 3.01; 95% CI 1.54-6.21.

Conclusions

Growing evidence suggests that dog ownership reduces the likelihood of depression and, therefore, may confer long-term health benefits on PLHIV. Future studies should explore whether dog-specific interventions are a feasible and efficacious intervention to improve outcomes among PLHIV.