bluuebunny/crossref_metadata_2025 huggingface dataset:
Application of Multifactorial Market-timing Models to Assess Risk and Effectiveness of Equity-Linked Insurance Funds in Poland
Authors: Homa Magdalena , Mościbrodzka Monika
Published: November 2017

Traditionally, models developed by Treynor and Mazuy (T-M) and also by Henriksson-Merton (H-M), which are called market-timing models, are applied to assess effectiveness of investment funds. The objective of the presented study is an application of the T-M and H-M models and their T-M-FF and H-M-FF modifications with additional Fama-French factors to assess effectiveness and risk of equity insurance connected with unit-linked insurance. Estimation and verification of the models for the subject group of equity funds were performed and the significance of the impact of particular factors on returns on reference portfolios was discussed.
Official Statistics on Personal Well-Being: Some Reflections on the Development and use of Subjective Well-Being Measures in the UK
Authors: Allin Paul
Published: November 2017

This paper draws on experience of the UK Office for National Statistics (ONS) programme to measure national well-being, particularly the high-profile element of the programme in which subjective well-being measures have been collected and published since April 2011. We reflect on drivers of the ONS work and on how these have given rise to interest both in national well-being – the Beyond GDP agenda – and in the use of subjective well-being measures (self-reported, personal well-being) in public policy. Although we touch briefly on measurement and analysis issues, we mainly concentrate on user requirements, the international context, and political, policy, public and business use of well-being data.
Using the Day Reconstruction Method to Quantify Time Spent Suffering Among Older Adults with Chronic Pain
Authors: Smith Dylan M.
Published: November 2017

The Day Reconstruction Method (DRM) is a structured diary designed to measure time use in a manner that is more valid than traditional written summary measures, but less burdensome than real-time electronic diary methods. The lower respondent burden and administration costs might make it feasible to utilize this method in large national surveys. Past studies using the DRM have generally focused on subjective mood states during different types of activities. In this study, we extended the DRM to also measure suffering from negative symptoms, such as pain and fatigue, in 122 older adults, most of whom suffer from chronic pain. Results indicated that the method was well tolerated in this population, with over 98% of the sample providing interpretable responses. Chronic pain respondents reported spending a considerable proportion of their day suffering from pain, fatigue, and depression; a much higher proportion than reported by healthy controls (p’s < .01). Time spent suffering was associated with lower income, negative mood, and lower life satisfaction and quality of life.
Operationalization and Estimation of Balanced Development Index for Poland 1999-2016
Authors: Koźmiński Andrzej K. , Noga Adam , Piotrowska Katarzyna , Zagórski Krzysztof
Published: November 2017

Stemming from assumption that Gross Domestic Product is an index oversimplifying economic development and not reflecting socio-economic development, the paper presents conceptualization, operationalization and estimation of Balanced Development Index (BDI), concerning both economic and social development in Poland. Actual values of this index as well as its four composite components (middle-level indexes) are presented for 1999–2013. A statistical model allowing estimation of BDI values as well as short-term forecasts is proposed alongside with the concept of balanced development. Application of this model for 1999–2016 is presented.
Inferential Issues in Model-Based Small Area Estimation: Some New Developments
Authors: Rao J. N. K.
Published: November 2017

Small area estimation (SAE) has seen a rapid growth over the past 10 years or so. Earlier work is covered in the author’s book (Rao 2003). The main purpose of this paper is to highlight some new developments in model-based SAE since the publication of the author’s book. A large part of the new theory addressed practical issues associated with the model-based approach, and we present some of those methods for area level and unit level models. We also briefly mention some new work on synthetic estimation of area means or totals based on implicit models.
Triple-Goal Estimation of Unemployment Rates for U.S. States Using the U.S. Current Population Survey Data
Authors: Bonnéry Daniel , Cheng Yang , Ha Neung Soo , Lahiri Partha
Published: November 2017

In this paper, we first develop a triple-goal small area estimation methodology for simultaneous estimation of unemployment rates for U.S. states using the Current Population Survey (CPS) data and a two-level random sampling variance normal model. The main goal of this paper is to illustrate the utility of the triple-goal methodology in generating a single series of unemployment rate estimates for three separate purposes: developing estimates for individual small area means, producing empirical distribution function (EDF) of true small area means, and the ranking of the small areas by true small area means. We achieve our goal using a Monte Carlo simulation experiment and a real data analysis.
Covariate Selection for Small Area Estimation in Repeated Sample Surveys
Authors: van den Brakel Jan A. , Buelens Bart
Published: November 2017

If the implementation of small area estimation methods to multiple editions of a repeated sample survey is considered, then the question arises which covariates to use in the models. Applying standard model selection procedures independently to the different editions of the survey may identify different sets of covariates for each edition. If the small area predictions are sensitive to the different models, this is undesirable in official statistics since monitoring change over time of statistical quantities is of utmost importance. Therefore, potential confounding of true change and methodological alterations should be avoided. An approach to model selection is proposed resulting in a single set of covariates for multiple survey editions. This is achieved through conducting covariate selection simultaneously for all editions, minimizing the average of the edition-specific conditional Akaike Information Criteria. Consecutive editions of the Dutch crime victimization survey are used as a case study. Municipal estimates of three survey variables are obtained using area level models. The proposed averaging strategy is compared to the standard method of considering each edition separately, and to an elementary approach using covariates selected in the first edition. Resulting models, point estimates and MSE estimates are analyzed, indicating no substantial adverse effects of the conceptually attractive averaging strategy.
Small Area Estimation for Skewed Data in the Presence of Zeroes
Authors: Karlberg Forough
Published: November 2017

Skewed distributions with representative outliers pose a problem in many surveys. Various small area prediction approaches for skewed data based on transformation models have been proposed. However, in certain applications of those predictors, the fact that the survey data also contain a non-negligible number of zero-valued observations is sometimes dealt with rather crudely, for instance by arbitrarily adding a constant to each value (to allow zeroes to be considered as “positive observations, only smaller”, instead of acknowledging their qualitatively different nature).

On the other hand, while a lognormal-logistic model has been proposed (to incorporate skewed distributions as well as zeroes), that model does not include any hierarchical aspects, and is therefore not explicitly adapted to small area prediction.

In this paper, we consolidate the two approaches by extending one of the already established log-transformation mixed small area prediction models to incorporate a logistic component. This allows for the simultaneous, systematic treatment of domain effects, outliers and zero-valued observations in a single framework. We benchmark the resulting model-based predictors (against relevant alternatives) in applications to simulated data as well as empirical data from the Australian Agricultural and Grazing Industries Survey.
Sae Education Challenges to Academics and NSI1
Authors: Gołata Elżbieta
Published: November 2017

The aim of the paper is to present some experiences in teaching Small Area Estimation (SAE). SAE education experiences and challenges are analysed from the academic side and from the NSI side. An attempt was undertaken to discuss SAE issues in a wider perspective of teaching statistics. In particular, the topics refer to Polish conditions, but they are presented against the background of selected international experiences and practices. Information comes from a special inquiry - a survey conducted among employees of statistical offices and academics from universities involved in SAE research. A further issue is inclusion of SAE in the EMOS project (European Master in Official Statistics). The survey is extended with information collected by monitoring of trainings and projects organized by the leading centres dealing with SAE. The results obtained are related to a similar survey within Eurostat project: ESSnet on Small Area Estimation, which was conducted in 2010. The study includes interest in learning and the need to implement SAE methodology, a range of subjects taught as well as a range of applications, forms of training, type of courses, software used and teaching methods. In particular, it intends to answer how strong the interest in small area estimation is, what the demand for practical and theoretical knowledge in the field is and what the recommendations for universities and statistical institutes are.
Small Area Prediction Under Alternative Model Specifications
Authors: Erciulescu Andreea L. , Fuller Wayne A.
Published: November 2017

Construction of small area predictors and estimation of the prediction mean squared error, given different types of auxiliary information are illustrated for a unit level model. Of interest are situations where the mean and variance of an auxiliary variable are subject to estimation error. Fixed and random specifications for the auxiliary variables are considered. The efficiency gains associated with the random specification for the auxiliary variable measured with error are demonstrated. A parametric bootstrap procedure is proposed for the mean squared error of the predictor based on a logit model. The proposed bootstrap procedure has smaller bootstrap error than a classical double bootstrap procedure with the same number of samples.
A Comparison of Small Area Estimation Methods for Poverty Mapping
Authors: Guadarrama María , Molina Isabel , Rao J. N. K.
Published: November 2017

We review main small area estimation methods for the estimation of general non-linear parameters focusing on FGT family of poverty indicators introduced by Foster, Greer and Thorbecke (1984). In particular, we consider direct estimation, the Fay-Herriot area level model (Fay and Herriot, 1979), the method of Elbers, Lanjouw and Lanjouw (2003) used by the World Bank, the empirical Best/Bayes (EB) method of Molina and Rao (2010) and its extension, the Census EB, and finally the hierarchical Bayes proposal of Molina, Nandram and Rao (2014). We put ourselves in the point of view of a practitioner and discuss, as objectively as possible, the benefits and drawbacks of each method, illustrating some of them through simulation studies.
A Two-Component Normal Mixture Alternative to the Fay-Herriot Model
Authors: Chakraborty Adrijo , Datta Gauri Sankar , Mandal Abhyuday
Published: November 2017

This article considers a robust hierarchical Bayesian approach to deal with random effects of small area means when some of these effects assume extreme values, resulting in outliers. In the presence of outliers, the standard Fay-Herriot model, used for modeling area-level data, under normality assumptions of random effects may overestimate the random effects variance, thus providing less than ideal shrinkage towards the synthetic regression predictions and inhibiting the borrowing of information. Even a small number of substantive outliers of random effects results in a large estimate of the random effects variance in the Fay-Herriot model, thereby achieving little shrinkage to the synthetic part of the model or little reduction in the posterior variance associated with the regular Bayes estimator for any of the small areas. While the scale mixture of normal distributions with a known mixing distribution for the random effects has been found to be effective in the presence of outliers, the solution depends on the mixing distribution. As a possible alternative solution to the problem, a two-component normal mixture model has been proposed, based on non-informative priors on the model variance parameters, regression coefficients and the mixing probability. Data analysis and simulation studies based on real, simulated and synthetic data show an advantage of the proposed method over the standard Bayesian Fay-Herriot solution derived under normality of random effects.
Variational Approximations for Selecting Hierarchical Models of Circular Data in a Small Area Estimation Application
Authors: Hernandez-Stumpfhauser Daniel , Breidt F. Jay , Opsomer Jean D.
Published: November 2017

We consider hierarchical regression models for circular data using the projected normal distribution, applied in the development of weights for the Access Point Angler Intercept Survey, a recreational angling survey conducted by the US National Marine Fisheries Service. Weighted estimates of recreational fish catch are used in stock assessments and fisheries regulation. The construction of the survey weights requires the distribution of daily departure times of anglers from fishing sites, within spatio-temporal domains subdivided by the mode of fishing. Because many of these domains have small sample sizes, small area estimation methods are developed. Bayesian inference for the circular distributions on the 24-hour clock is conducted, based on a large set of observed daily departure times from another National Marine Fisheries Service study, the Coastal Household Telephone Survey. A novel variational/Laplace approximation to the posterior distribution allows fast comparison of a large number of models in this context, by dramatically speeding up computations relative to the fast Markov Chain Monte Carlo method while giving virtually identical results.
A Comparison of Small Area and Calibration Estimators Via Simulation
Authors: Hidiroglou M. A. , Estevao V. M.
Published: November 2017

Domain estimates are typically obtained using calibration estimators that are direct or modified direct. They are direct if they strictly use data within the domain of interest. They are modified direct if they use both data within and outside the domain of interest. An alternative way of producing these estimates is through small area procedures. In this article, we compare the performance of these two approaches via a simulation. The population is generated using a hierarchical model that includes both area effects and unit level random errors. The population is made up of mutually exclusive domains of different sizes, ranging from a small number of units to a large number of units. We select many independent simple random samples of fixed size from the population and compute various estimates for each sample using the available auxiliary information. The estimates computed for the simulation included the Horvitz-Thompson estimator, the synthetic estimator (indirect estimate), calibration estimators, and unit level based estimators (small area estimate). The performance of these estimators is summarized based on their design-based properties.
Quality of Life and Poverty in Ukraine – Preliminary Assessment Based on the Subjective Well-Being Indicators 1
Authors: Osaulenko Oleksandr
Published: November 2017

The paper provides an overview of the information sources, methodology and main findings of the research of quality of life and poverty using indicators of subjective well-being applied by state statistics agencies in Ukraine. The paper describes the system of indicators for self-evaluation of the attained level of well-being, the level of satisfaction from meeting the basic living needs, and the limitations in consumption abilities of selected population groups due to hard conditions. In addition, methodological approaches in national statistics practice are discussed for the case of analysis of economic deprivation and for infrastructure development as indicator of geographic accessibility of services and non-geographic barriers causing the deprivation of access. Also, this paper reviews the factors that underlie the deprivations and define the percentage of population that is particularly affected by multiple deprivation in Ukraine. It covers the data on dynamics and analyses the distribution of deprivation by different population group, for several years. Finally, it describes further steps on the way to enhance the information capacity of subjective wellbeing studies, particularly as regards implementation of the contemporary approaches in international perspective, including Europe.
Knowledge-Based Economy in the European Union – Cross-Country Analysis
Authors: Skrodzka Iwona
Published: November 2017

The knowledge-based economy is an economy where knowledge is created, acquired, transmitted and used effectively by businesses, organizations, individuals and communities. It is not narrowly focused on the industries of advanced technology or ICT, but provides a framework for analysing the range of policy options in education, information infrastructure and systems of innovation, which could help contribute to the knowledge economy. The aim of the paper is to analyse spatial differences in the level of development of the knowledge-based economy in the European Union countries. The study uses a soft modelling method, which enables the estimation of a synthetic measure of KBE as well as the arrangement and classification of the UE-27 countries into typological groups. The research covers the years 2000 and 2013.
The Gluevar Risk Measure and Investor’s Attitudes to Risk–An Application to the Non-Ferrous Metals Market
Authors: Krężołek Dominik
Published: November 2017

Investing in the economic world, characterized by a high level of uncertainty and volatility, entails a higher level of risk related to investment. One of the most commonly used risk measure is Value-at-Risk. However, despite the ease of calculation and interpretation, this measure suffers from a significant drawback - it is not subadditive. This property is the key issue in terms of portfolio diversification. Another risk measure, which meets this assumption, has been proposed - Conditional Value-at-Risk, defined as a conditional loss beyond Value-at-Risk. However, the choice of a risk measure is an individual decision of an investor and it is directly related to his attitudes to risk.

In this paper the new risk measure is proposed - the GlueVaR risk measure, which can be defined as a linear combination of VaR and GlueVaR. It allows for calculating the level of investment loss depending on investment’s attitudes to risk. Moreover, GlueVaR meets the subadditivity property, therefore it may be used in portfolio risk assessment. The application of the GlueVaR risk measure is presented for the non-ferrous metals market.
Examining Similarities in Time Allocation Amongst European Countries
Authors: Hozer-Koćmiel Marta , Lis Christian
Published: November 2017

The aim of the article is to analyse the similarities between the selected European countries in terms of time allocation. Time allocation has been defined as the daily distribution of time to various activities. Professional work time, domestic work time and leisure time are the most important for the economic approach. It has been proved that there are coherent groups of countries with similar structure of time allocation. The taxonomic methods used in order to verify the thesis included: cluster analysis, k-means method, generalised distance measure GDM and interval taxonomic method TMI. The analysis was performed on the basis of HETUS data.
Quality of Institutions and Total Factor Productivity in the European Union
Authors: Balcerzak Adam P. , Pietrzak Michał Bernard
Published: November 2017

The key challenge for mid- and long-term policy in the European Union countries is to use the potentials of knowledge-based economy (KBE), which is a condition for maintaining high total factor productivity in Europe. For this reason, the relationship between the quality of an institutional system and total factor productivity in the EU countries has been examined. The quality of the institutional system is defined here from the perspective of incentives that influence the use of the potential of KBE. In order to determine the level of effectiveness of the institutional system in the analysed countries the method for linear ordering of objects was applied based on data from Fraser Institute. The main hypothesis of the article states that the quality of the institutional system in the context of KBE has a significant influence on the level of total factor productivity in the EU. In order to verify this hypothesis, the parameters of the Cobb-Douglas production function were estimated, which allowed the evaluation of TFP for the EU countries. The calculation made in the article based on Eurostat data. In order to identifying the relationship between the quality of the institutional system and the level of TFP a panel model was applied using data from a conducted for years 2000-2010.
Locally Regularized Linear Regression in the Valuation of Real Estate
Authors: Kubus Mariusz
Published: November 2017

Regression methods are used for the valuation of real estate in the comparative approach. The basis for the valuation is a data set of similar properties, for which sales transactions were concluded within a short period of time. Large and standardized databases, which meet the requirements of the Polish Financial Supervision Authority, are created in Poland and used by the banks involved in mortgage lending, for example.

We assume that in the case of large data sets of transactions, it is more advantageous to build local regression models than a global model. Additionally, we propose a local feature selection via regularization. The empirical research carried out on three data sets from real estate market confirmed the effectiveness of this approach. We paid special attention to the model quality assessment using cross-validation for estimation of the residual standard error.
Kernel Estimation of Cumulative Distribution Function of a Random Variable with Bounded Support
Authors: Baszczyńska Aleksandra
Published: November 2017

In the paper methods of reducing the so-called boundary effects, which appear in the estimation of certain functional characteristics of a random variable with bounded support, are discussed. The methods of the cumulative distribution function estimation, in particular the kernel method, as well as the phenomenon of increased bias estimation in boundary region are presented. Using simulation methods, the properties of the modified kernel estimator of the distribution function are investigated and an attempt to compare the classical and the modified estimators is made.
Shift in Methodology and Population Census Quality
Authors: Gołata Elżbieta
Published: November 2017

The article refers to the shift in methods to conduct a population census: from a conventional enumeration through a sample survey and a mixed approach to administrative data, as a new standard in statistics. The paper compares two Polish censuses of 2002 and 2011. It is aimed at quality assessment in the case of both: the traditional method (2002 census) and the combined approach (2011 census).

The quality of census data is discussed with essential aims and objectives to provide reliable information on the population age and sex structure in detailed territorial division. Therefore, quality assessment is provided for the whole country and at regional level. First of all, coverage errors are considered. We use multiple sources of data and non-matching methods, in particular: demographic analysis based on previous censuses, vital statistics and a comparison with other existing sources. Different cross-sections according to sex, age and place of residence are considered. In each separate domain adequacy and divergence assessments are accompanied by an attempt to provide substantive explanations.
The Identification of Training Needs for Human Capital Quality Improvement in Poland – A Statistical Approach
Authors: Dziechciarz Duda Marta , Dziechciarz Jozef
Published: November 2017

The Ministry of Science and Higher Education has launched the Competency Development Programme in the form of additional financial means for activities to equip students with unique, the so-called soft skills necessary in scientific careers and on the labour market. Courses developing skills such as team work ability, leadership, creativity, independent thinking and innovative approach to problem solving will be financed.

For that purpose, a thorough analysis of needs is necessary. Existing databases describing the quality of human capital in Poland should be analysed in order to identify those competencies that graduates of universities are missing.

The arsenal of possible statistical tools applicable for that purpose covers a wide range of techniques, from the simplest methods of descriptive statistics to advanced multivariate statistical analysis.

The study will attempt to identify the missing soft competences based on existing statistical data, e.g. Polish human capital database.
M-Estimators in Business Statistics1
Authors: Dehnel Grażyna
Published: November 2017

Recent years have seen a dynamic development in statistical methods for analysing data contaminated with outliers. One of the more important techniques that can deal with outlying observations is robust regression, which represents four decades of research. Until recently the implementation of robust regression methods, such as M-estimation or MM-estimation, was limited owing to their iterative nature. With advances in computing power and the growing availability of statistical packages, such as R and SAS, Stata, the applicability of robust regression methods has increased considerably.The aim of the study is to evaluate one of these methods, namely M-estimation, using data from a survey of small and medium-sized businesses. The comparison involves nine M-estimators, each based on a different weighting function. The results and conclusions are formulated on the basis of empirical data from the DG-1 business survey.
The Challenges of the Population Census Round of 2020. Outline of the Methods of Quality Assessment of Population Census Data1
Authors: Kordos Jan
Published: November 2017

The author begins with the challenges of the population census round of 2020 and gives an outline of the methods of quality assessment of population census data. Next, the synthesis of two Eurostat documents (2007, 2009) and UN Statistics Division (2010) monograph relating to census data quality assessment are considered. Special attention is paid to three methods of census quality assessment: (i) demographic method, (ii) post-enumeration survey, and (iii) comparison with existing household surveys. Census quality assessment methods are discussed in the context of the international recommendations and experience of selected countries. Some Polish experience in these fields is also discussed, and some suggestions to the 2021 Polish Census of Population and Housing preparations are given.
Estimating Sensitive Population Proportion Using a Combination of Binomial and Hypergeometric Randomized Responses by Direct and Inverse Mechanism
Authors: Dihidar Kajal , Bhattacharya Manjima
Published: November 2017

For various reasons individuals in a sample survey may prefer not to confide to the interviewer the correct answers to certain potentially sensitive questions such as the illegal use of drugs, illegal earning, or incidence of acts of domestic violence, etc. In such cases the individuals may elect not to reply at all or to reply with incorrect answers. The resulting evasive answer bias is ordinarily difficult to assess. The use of a randomized response method for estimating the proportion of individuals possessing those sensitive attributes can potentially eliminate the bias. Following Chaudhuri and Dihidar (2014) and Dihidar (2016), here, as a possible variant, we have made an attempt to estimate the sensitive population proportion using a combination of binomial and hypergeometric randomized responses by direct and inverse mechanism. Along with the traditional simple random sampling, with and without replacement, we consider here sampling of respondents by unequal probabilities. Essential theoretical derivations for unbiased estimator, variance and variance estimators are presented for several sampling schemes. A numerical illustration is performed to make a comparative study of the relative efficiencies of the direct and inverse mechanism.
A Multidimensional and Dynamised Classification of Polish Provinces Based on Selected Features of Higher Education in 2002–2013
Authors: Łukaszonek Wojciech
Published: November 2017

For close to two decades after the fall of communism in 1989, Polish higher education enjoyed an unprecedented period of development. Favourable political, economic, social and demographic changes led to a fivefold increase in the number of students and the number of higher educational institutions. The dynamic changes and their effects did not occur uniformly, in either space or time. An attempt is made here to identify and analyse the regional differentiation between Polish provinces in terms of features relating to higher education. To investigate the changes in higher education in the period of economic and social transformation, observations were made of fundamental characteristics of higher education in the years 2002–2013. The applied procedure uses new statistical methods applicable to a space of doubly multivariate data. The covariance matrix used to construct principal components is given the structure of a Kronecker product. The results led to the identification of six groups of provinces, including two consisting of a single province – Mazowieckie and Małopolskie provinces – which contain the largest and the highest-ranked2higher educational institutions in Poland: the University of Warsaw and Jagiellonian University.
Examining Tests for Comparing Survival Curves with Right Censored Data
Authors: Karadeniz Pinar Gunel , Ercan Ilker
Published: November 2017

Background and objective

In survival analysis, estimating the survival probability of a population is important, but on the other hand, investigators want to compare the survival experiences of different groups. In such cases, the differences can be illustrated by drawing survival curves, but this will only give a rough idea. Since the data obtained from survival studies contains frequently censored observations some specially designed tests are required in order to compare groups statistically in terms of survival.

Methods

In this study, Logrank, Gehan-Wilcoxon, Tarone-Ware, Peto-Peto, Modified Peto-Peto tests and tests belonging to Fleming-Harrington test family with (p, q) values; (1, 0), (0.5, 0.5), (1, 1), (0, 1) ve (0.5, 2) are examined by means of Type I error rate obtained from a simulation study, which is conducted in the cases where the event takes place with equal probability along the follow-up time.

Results

As a result of the simulation study, Type I error rate of Logrank test is equal or close to the nominal value.

Conclusions

When survival data were generated from lognormal and inverse Gaussian distribution, Type I error rate of Gehan-Wilcoxon, Tarone-Ware, Peto-Peto, Modified Peto-Peto and Fleming-Harrington (1,0) tests were close to the nominal value.
SISTEMATIZAÇÃO DA AVALIAÇÃO DO ENSINO: UMA PROPOSTA FUNDAMENTADA A LUZ DO PROCESSO DE ENFERMAGEM
Authors: Dos Santos Gleidson Monteiro , Da Silva Oliveira Gésica Kelly , Gomes Gidelson Gabriel , Cunha Kátia Silva , Rodrigues Kátia Calligaris
Published: November 2017

Considerando a perspectiva de ensinar/aprender/avaliar como processo relacional com o mundo, faz necessário que os docentes pensem em novas e diversas estratégias para ensinar e analisar. Nesta vertente, este estudo objetiva propor um modelo de avaliação do ensino de forma sistematizada, com base no Processo de Enfermagem (PE). Para fomentar este estudo, foi realizada uma revisão da literatura. A Sistematização da Avaliação do Ensino (SAE) sugerida vem se estabelecer como um método que visa a substanciar o olhar docente pela ótica da integralidade em que cada aluno se insere na conjuntura educativa. Contempla cinco etapas inter-relacionadas: Histórico do aluno, avaliação diagnóstica, planejamento das estratégias de ensino, implementação das estratégias de ensino e avaliação da aprendizagem. A autorregulação ainda se constitui um desafio à prática docente, pois se refere a um processo de avaliação das situações de aprendizagem utilizado para direcionar a construção dos saberes. A SAE, proposta neste estudo, contempla uma avaliação que direciona um ensino significativo ao aluno contribuindo para um processo relacional de ensino e aprendizagem emancipatória.
ABORDANDO O LUTO NA ESCOLA: EXPERIÊNCIA EM COMUNIDADE EM SITUAÇÃO DE VULNERABILIDADE NO SUL DO BRASIL
Authors: Gonçalves Bandeira Andrea , Witt Regina Rigatto
Published: November 2017

O objetivo deste artigo é discutir uma ação de promoção em saúde desenvolvida no âmbito do Programa de Saúde na Escola abordando a temática luto e morte. Trata-se de um relato de experiência. A ação foi desencadeada por solicitação da escola, diante da situação de perda de uma professora. A revisão da literatura indicou a oportunidade do trabalho deste tema com jovens em situação de vulnerabilidade. Foram realizadas oficinas em sala de aula, com desenvolvimento de dinâmica que visou à expressão de sentimentos perante a situação vivenciada na escola ou na sua vida. A experiência mostrou que a escola é um espaço no qual este processo pode ser compartilhado e explicitado.
PERFIL DE ÓBITOS MATERNOS EVITÁVEIS EM MONTES CLAROS
Authors: Versiani Clara De Cássia , Fonseca Rayde Luiz , Caldeira Antônio Prates
Published: November 2017

Objetivou-se descrever a ocorrência dos óbitos maternos em Montes Claros-MG no período de 2008 a 2013, analisando o perfil de evitabilidade. Trata-se de um estudo quantitativo, de análise de tendência, baseado em dados secundários do Ministério da Saúde - MS e do Comitê de Mortalidade Materna - CMM de Montes Claros. Calcularam-se taxas de mortalidade materna para o período estudado, avaliando o quantitativo de dados segundo a evitabilidade e o tipo de óbito materno obstétrico, se direto ou indireto. Para os achados verificaram-se as possíveis correlações entre seus comportamentos e a série temporal por meio da regressão linear, assumindo-se um nível de significância de 5% (p<0,05). No período estudado, 91% dos óbitos maternos - OM no município foram classificados como provavelmente evitáveis, a taxa de Mortalidade Materna passou de 38,6 óbitos em 2008 para 86,6 óbitos por 100 mil nascidos vivos em 2013. Dos 23 óbitos Maternos levantados, 65% corresponderam a Mortes Obstétricas Diretas. Destaca-se a necessidade de melhoria dos serviços de saúde no pré-natal, assistência ao parto, e puerpério.
AS ATRIBUIÇÕES DA ENFERMAGEM NO EXERCÍCIO DO ACOMPANHAMENTO TERAPÊUTICO EM UM SERVIÇO RESIDENCIAL TERAPÊUTICO
Authors: Pinheiro Guilherme Emanuel Weiss , Kantorski Luciane Prado , Silveira Karine Langmantel , Silveira Priscila Borges , Guedes Ariane Da Cruz , De Oliveira Michele Mandagará
Published: November 2017

Objetivo: identificar as atividades e atribuições do acompanhamento terapêutico desenvolvidas pela enfermagem em um Serviço Residencial Terapêutico. Materiais e Métodos: pesquisa de abordagem qualitativa e descritiva. Foram realizadas entrevistas semiestruturadas, gravadas e transcritas na íntegra, com 12 acompanhantes terapêuticos da equipe de enfermagem de um Serviço Residencial Terapêutico do Rio Grande do Sul. A análise dos dados baseia-se na proposta de análise temática, sendo investigados e sistematizados a partir das atribuições e atividades do acompanhamento terapêutico. Resultados: nota-se que os profissionais de enfermagem que compõem a equipe de acompanhantes terapêuticos do serviço possuem um forte potencial cuidador e são dotados de características essenciais para reinserção social dos sujeitos em sofrimento psíquico. Conclusão: ressalta-se a importância da enfermagem como profissão, uma vez que sua essência está no cuidado, que é fundamental para a prática em saúde mental e, principalmente, para o acompanhamento terapêutico.
PERCEPÇÕES DE MÃES SOBRE A PRÁTICA DO ALEITAMENTO MATERNO E DA INTRODUÇÃO DA ALIMENTAÇÃO COMPLEMENTAR
Authors: Sales Geyce Da Silva , Nolêto Fernanda Carneiro Marinho , Rocha Tatiana Evangelista da Silva
Published: November 2017

O objetivo deste estudo foi identificar as percepções de mães sobre a prática do aleitamento materno e da introdução da alimentação complementar. A coleta de dados ocorreu no período de novembro a dezembro de 2016 e utilizou-se de entrevista semiestruturada, com mães acompanhadas pelo Centro de Saúde e Comunidade no município de Palmas/Tocantins, tendo como eixo perguntas norteadoras, previamente elaboradas pelos pesquisadores, cujas respostas foram gravadas e posteriormente transcritas para análise dos resultados. Das entrevistadas que tiveram consulta de pré-natal, 73,91% das mães relataram receber orientações sobre a importância do aleitamento materno e alimentação complementar. Em relação à prática das orientações recebidas nas consultas de pré-natal, a mais comentada pelas mães foi sobre a pega da mama e a importância da amamentação exclusiva até 6 meses. O grupo relacionou o aleitamento materno exclusivo com a proteção à saúde da criança, além dos benefícios nutritivos do leite humano e que apesar de terem recebido orientações e informações durante as consultas de pré-natal no período gestacional, é possível observar que as mães têm conhecimento limitado referente ao aleitamento materno exclusivo até os 6 meses de idade da criança. Além disso, as entrevistadas possuem um conhecimento empírico quando analisadas as percepções sobre alimentação complementar. Existe um distanciamento entre as informações que estão sendo transmitidas sobre amamentação e alimentação complementar, que deveriam ser explicadas e trabalhadas com mais clareza por profissionais de saúde a fim de promover ações de amamentação e alimentação complementar de forma mais efetiva. 
Inhibition of Daphnia magna's occurrence in drinking water treatment process by controlling its phototactic behavior
Authors: Lin Tao , Tan Yiwen , Chen Wei
Published: November 2017

Cladocera zooplankton as carriers of bacteria result in biological risk due to their occurrence in drinking water treatment systems. In this paper, bench-scale experiments were performed to investigate the inhibition effect on Daphnia magna (D. magna) by controlling its phototactic behavior. The results showed that UVA had a negative effect on the phototaxis of D. magna, indicating an active movement away from light source, while blue light was positive in inducing phototactic behavior. The water quality could influence the phototactic behavior of D. magna. When the turbidity value was higher than 10 NTU or total organic carbon (TOC) concentration was beyond 4 mg/L, the phototaxis of D. magna to UVA (25 μw/cm2 intensity) or blue light (1,000 Lux intensity) was significantly weakened. It was difficult for D. magna to offset the effect of water flow by its phototactic movement when the flow rate was higher than 10 mm/s. According to the above results, with suitable process parameters in full-scale experiments, the occurrence of D. magna in the effluent of sedimentation tank and activated carbon filter was obviously inhibited by the UVA irradiation and blue light induction, respectively.
Home Buyers’ and Vendors’ Behaviours: Analysis of Judicial Decisions
Authors: Abdullah Nuraisyah Chua , Ramly Ramzyzan , Ikhsan Muhammad Izwan
Published: November 2017

This paper examines the behaviour of vendors and purchasers indirectly through the judicial decisions in Malaysia, Australia, and the United States. The decided cases illustrate that buyers are still indolent in their duty to conduct pre-purchase inspections, some vendors were seen to have actively concealed defects in the property and fraudulently misrepresented the conditions of the properties. This paper suggests consumer education for both the vendors and purchasers and the extension of the jurisdiction of either the Tribunal for Homebuyers Claims or the Tribunal for Consumer Claims to include matters regarding the dispute as to the condition of the property.
A Structural Model for Developing Maintenance Culture in Malaysian Local Authorities
Authors: Abdullah Sani Suwaibatul Islamiah , Khair Nurhayati , Mohamad Junainah
Published: November 2017

Infrastructure development is fundamental to the success of a country to achieve the status of the developed nation. However, the development made is deemed to be unsuccessful without a high culture of maintenance to maintain the existing infrastructure. Nevertheless, the effort is unworthy since the performance level for the maintenance of an immovable asset in Malaysia, especially those that belong to Local Authorities are still at an inadequate level. Local Authorities hold a large number of facilities that place demands on resources. Regarding this scenario, the purpose of this research was carried to produce a structural model for developing of maintenance culture in Malaysian local authorities
Pengetahuan Tentang HIV/AIDS Berhubungan Dengan Konseling HIV/AIDS pada Ibu Rumah Tangga HIV/AIDS
Authors: Mulyaningsih Sundari
Published: November 2017

The number of HIV/AIDS in Indonesia is more increasing and its distribution has been very complex. Now, HIV/AIDS is also attacking housewives, whose activity is mostly at home. In Yogyakarta, there are many obstacles to the practice of taking ARV, because of the less openness of HIV/AIDS sufferers, uncontrollable distribution and irregular consumption of ARV. The purpose of this research is to know investigate the relation between the knowledge of HIV/AIDS and the counseling of HIV/AIDS among housewives with HIV/AIDS in Yogyakarta. This research is quantitative study with a cross-sectional approach. The sample is 47 housewives with HIV/AIDS. The data was collected through the interview using a structured questionnaire and analyzed by chi-square to know investigate the relation between the knowledge of HIV/AIDS and the counseling of HIV/AIDS. This research showed that the majority of respondents had less knowledge about HIV/AIDS (61.7%) and did not attend counseling (59.6%). The analysis between two variables using chi-square result p=0.000, it means that there was a correlation between knowledge of HIV/AIDS and the counseling of HIV/AIDS among housewives with HIV/AIDS in Yogyakarta.
Assessing the Methods, Tools, and Statistical Approaches in Google Trends Research: Systematic Review (Preprint)
Authors: Mavragani Amaryllis , Ochoa Gabriela , Tsagarakis Konstantinos P
Published: November 2017

BACKGROUND

In the era of information overload, are big data analytics the answer to access and better manage available knowledge? Over the last decade, the use of Web-based data in public health issues, that is, infodemiology, has been proven useful in assessing various aspects of human behavior. Google Trends is the most popular tool to gather such information, and it has been used in several topics up to this point, with health and medicine being the most focused subject. Web-based behavior is monitored and analyzed in order to examine actual human behavior so as to predict, better assess, and even prevent health-related issues that constantly arise in everyday life.

OBJECTIVE

This systematic review aimed at reporting and further presenting and analyzing the methods, tools, and statistical approaches for Google Trends (infodemiology) studies in health-related topics from 2006 to 2016 to provide an overview of the usefulness of said tool and be a point of reference for future research on the subject.

METHODS

Following the Preferred Reporting Items for Systematic Reviews and Meta-Analyses guidelines for selecting studies, we searched for the term “Google Trends” in the Scopus and PubMed databases from 2006 to 2016, applying specific criteria for types of publications and topics. A total of 109 published papers were extracted, excluding duplicates and those that did not fall inside the topics of health and medicine or the selected article types. We then further categorized the published papers according to their methodological approach, namely, visualization, seasonality, correlations, forecasting, and modeling.

RESULTS

All the examined papers comprised, by definition, time series analysis, and all but two included data visualization. A total of 23.1% (24/104) studies used Google Trends data for examining seasonality, while 39.4% (41/104) and 32.7% (34/104) of the studies used correlations and modeling, respectively. Only 8.7% (9/104) of the studies used Google Trends data for predictions and forecasting in health-related topics; therefore, it is evident that a gap exists in forecasting using Google Trends data.

CONCLUSIONS

The monitoring of online queries can provide insight into human behavior, as this field is significantly and continuously growing and will be proven more than valuable in the future for assessing behavioral changes and providing ground for research using data that could not have been accessed otherwise.
Editorial
Authors: Ulloa Hung Jorge
Published: November 2017

No precisa de resumen.
Análise comparativa da capacidade funcional de idosos institucionalizados e não institucionalizados
Authors: Leão Raíla Oliveira , Carvalho Natane Moreira de , Chaves Carolina Marques Carvalho Mitre , Pernambuco Andrei Pereira
Published: November 2017

Introdução: O Brasil será em 2025, o sexto país do mundo com maior número de idosos. Uma parcela desses continuará participando ativamente da sociedade, enquanto a outra viverá em instituições de longa permanência. Objetivo: Avaliar e comparar a capacidade funcional de idosos institucionalizados (IIN) e idosos comunitários (ICO). Materiais e métodos: Participaram do estudo 20 idosos, de ambos os gêneros, com idade entre 60 e 80 anos, que foram recrutados ou em uma instituição de longa permanência para idosos ou em uma unidade básica de saúde. Os participantes foram divididos em dois grupos com 10 participantes. O índice de Katz, a Escala de Lawton e Brody, e o Timed Get Up and Go (TUG) foram utilizados para coleta dos dados. Resultados: No grupo de ICO foram encontradas médias de 0,10 ± 0,32 pontos no Índice de Katz, 16,90 ± 3,52 pontos na Escala de Lawton e Brody e 11,68 ± 5,92 segundos no teste TUG, já no grupo de IIN as médias foram, 0,50 ± 0,71 pontos, 11,70 ± 1,89 pontos e 19,25 ± 8,52 segundos, nos respectivos instrumentos. A comparação intergrupos demonstrou que não houve diferenças significativas no que se refere à capacidade de realização de atividades básicas de vida diária (p = 0,1336). Contudo ocorreram diferenças significativas a favor do grupo ICO na capacidade de realizar atividades instrumentais de vida diária (p = 0,0006) e no teste TUG (p = 0,0089). Conclusão: Os achados sugerem que a institucionalização pode acelerar o surgimento e agravamento de incapacidades funcionais.