bluuebunny/crossref_metadata_2025 huggingface dataset:
Promoting Teamwork for Rapid Response Teams Through Simulation Training
Authors: Colman Nora , Patera Abbie , Hebbar Kiran B.
Published: October 2019

Use of teamwork skills during rapid response calls is important in the management of patient decompensation outside of the intensive care unit. The ability of a rapid response team (RRT) to influence patient outcomes depends on early team building and effective team performance. Simulation-based team training (SBTT) has been shown to be effective in teaching nontechnical teamwork skills. Rapid Cycle Deliberate Practice (RCDP) is becoming increasingly popular in simulation-based education. Emerging literature on the application of RCDP suggests this method may be superior to traditional reflective debriefing (TRD) in the acquisition of technical skills related to medical management, but fewer data exist that evaluate application of RCDP in teaching nontechnical teamwork skills. We describe a blended approach, using TRD with RCDP to hardwire teamwork behaviors including role assignment, task delegation, situational awareness, global assessment, and shared mental model to a nursing-led RRT.

[
J Contin Educ Nurs
. 2019;50(11):523–528.]
Pilot Project: The Chronic Pain Diary: Assessing Chronic Pain in the Nursing Home Population
Authors: Hager Kathy K. , Brockopp Dorothy
Published: October 2019

The goal of this pilot project was to evaluate the use of a self-report diary for assessing chronic pain in nursing home residents. Data collected 14 days prior to the use of the diary were compared with data collected 14 days after diary completion. Following diary implementation, pain levels, pain-related nursing entries, and use of as-needed medication increased. There was a statistically significant increase in the number of scheduled medications. Future research, using a randomized design and multiple sites, is needed to examine the effectiveness of self-reported pain diaries in assessing chronic pain in the communicative nursing home population.
Residential and school segregation as parameters of educational performance in Athens
Authors: Maloutas Thomas , Spyrellis Stavros , Hadjiyanni Andromachi , Capella Antoinetta , Valassi Despoina
Published: October 2019

The paper explores the relation of educational performance with social and urban inequalities in the Athens Metropolitan Area during the 2000s. It draws on discussions about education as a mechanism of social reproduction and on work about education inequalities in Greece, and in particular in Athens, where a socially stratified secondary education –compared to the rest of the country– leads to a rather open, but at the same time socially unequal higher education. We analyze how the performance of candidates in the Greek national admissions examination (Panelladikes Exetaseis) relates to the social position of candidates’ families, to the type of secondary schools they attended, to the social profile of candidates’ residential neighborhoods (tentatively) and to their demographic features (age and sex). The object is to illustrate and roughly quantify the function of social reproduction in this socially selective process of transition to higher education.
Knowledge Systems in the Agrifood Supply Chains
Authors: De Rosa Marcello , Charatsari Chrysanthi , Lioutas Evagelos D. , La Rocca Giuseppe
Published: October 2019

Knowledge production and exchange can enhance the performance of agrifood supply chains (ASCs). However, the mechanisms that facilitate or impede knowledge co-creation within ASCs have not yet been elucidated. In this work, using a systems approach, the authors compare the knowledge systems in two countries with similar characteristics but also major differences in their agrifood sectors: Italy and Greece. In Italy, the analysis indicates a divided but pluralistic system, which facilitates the production and enables the exchange of various types of knowledge. In Greece, the lack of central coordination leads the involved stakeholders to create, test, and share new forms of knowledge. These findings, on the one hand, reveal the ability of interrelated actors to mutually produce context-specific knowledge while, on the other hand, emphasise the importance of creating knowledge spaces within ASCs.
Effective and Ineffective Statistical Analysis Tools in Project Management Environments
Authors: Galli Brian J.
Published: October 2019

The study aims to investigate the effectiveness and ineffectiveness of different statistical analysis tools in project management environments. Furthermore, this study focuses on identifying some factors that affect project management by highlighting some commonly used statistical analysis tools and by evaluating ineffective analysis tools. Quantitative data was collected through participant observation, as well as a review of the relevant materials to meet these objectives. Some of the dependent variables that were tested in the study include the project manager's skills, the organization's financial status, and the affordability of the analysis tools. The independent variable is the effectiveness and ineffectiveness of the statistical analysis tools. After collecting and analyzing the data, the study finds that a tool's effectiveness or ineffectiveness depends on the dependent variables, i.e., the project managers' skills, the organization's financial status, etc.
Identifying Better?
Authors: Rastogi Rohit , Verma Himanshu , Mishra Yash , Gupta Mayank , Chaturvedi Devendra K
Published: October 2019

Tension is one of the most common problem found in people nowadays. With problems, the stress level increases and headaches are the most common problem faced during stress. The common headache found is tension type headache (TTH). The present study aims at studying the effect on TTH of various biofeedback technique like EMG and GSR on various modes like audio and visual the experiment was conducted on 90 people out of which 78 remained until the end (46 females and 32 males) were randomly assigned groups like EMGa, EMGav, GSRa, GSRav and the control group. The control group was only given the medication given by doctor. The session of the biofeedback therapy was conducted for over a time of 20 minutes in an isolated chamber. The therapy continued for over a period of 12 months. The results were taken after 1 month, 3 months, 6 months, and 12 months.
An Effective Regression Test Case Selection Using Hybrid Whale Optimization Algorithm
Authors: Agrawal Arun Prakash , Choudhary Ankur , Kaur Arvinder
Published: October 2019

Test suite optimization is an ever-demanded approach for regression test cost reduction. Regression testing is conducted to identify any adverse effects of maintenance activity on previously working versions of the software. It consumes almost seventy percent of the overall software development lifecycle budget. Regression test cost reduction is therefore of vital importance. Test suite optimization is the most explored approach to reduce the test suite size to re-execute. This article focuses on test suite optimization as a regression test case selection, which is a proven N-P hard combinatorial optimization problem. The authors have proposed an almost safe regression test case selection approach using a Hybrid Whale Optimization Algorithm and empirically evaluated the same on subject programs retrieved from the Software Artifact Infrastructure Repository with Bat Search and ACO-based regression test case selection approaches. The analyses of the obtained results indicate an improvement in the fault detection ability of the proposed approach over the compared ones with significant reduction in test suite size.
New Factors Affecting Productivity of the Software Factory
Authors: Castañeda Pedro , Mauricio David
Published: October 2019

Productivity is very important because it allows organizations to achieve greater efficiency and effectiveness in their activities; however, it is affected by numerous factors. While these factors have been identified for over two decades, all of the previous works limited the software factory to the programming work unit and did not analyze other work units that are also relevant. 90% of a software factory's effort is absorbed by the software production component, 85% of which is concentrated in the efforts of the analysis and design, programming, and testing work units. The present work identifies three new factors that influence the software factory, demonstrating that the use of rules and events influences analysis & design, team heterogeneity negatively affects analysis and design and positively affects programming; and the osmotic communication affects programming. An empirical study on software factories in Peru, determined that 95% of the influence came from these factors, which corroborated as well that team size and trust within the team influences in software production.
Research on the Uniqueness and Characteristic Development of University Library Cultural Services
Authors: Wang Xincai , Xie Xin
Published: October 2019

Characteristic development is a process of intentionally solidifying and cultivating something's uniqueness. This article analyzes the uniqueness of university library cultural services in comparison with those provided by other service institutions. Furthermore, this article reveals the differences between cultural services and other types of library services. Based on these analyses, this constructive research finds a way to achieve cultural services' characteristic development by taking service factors as the breakthrough point. The main strategies include building a professional service team, focusing on user demands, constructing characteristic resources, optimizing service spaces and facilities, and upgrading service brands; all of these strategies should be developed round the issue of culture. Finally, corresponding to the above strategies, this paper article the measures and effects of Wuhan University Library cultural services to share their experience.
Is it a New Tulip Mania Age?
Authors: Akar Serkan , Akar Ezgi
Published: October 2019

Although cryptocurrencies and blockchain technology can be considered new advances, they have started to be recognized widely, and this has been discussed and investigated in lots of research studies. In parallel, the primary purpose of this study is to investigate the development and evolution of cryptocurrencies and blockchain technology over the past years in the academic world. To this end, 334 scholarly journal articles are examined to: (1) conduct a comprehensive literature review in the field of cryptocurrencies and blockchain; (2) identify the possible trends and changes in this field over the ten years; (3) compare the publishing productivity of journals; and (4) guide future research in this field. The results highlight that the researchers mainly concentrate on legal and ethical issues of them; their benefits, challenges, and risks; their conceptualization, evolution, and future; the economic dimension of them; and financial and accounting related issues of them.
Influência da condição financeira nas subvenções governamentais dos estados brasileiros em cenário de crise econômica
Authors: Alves de Macena Araújo Risolene , Miranda Leite Kalina Kely , Amilton Maia Leite Filho Paulo
Published: October 2019

O presente estudo teve por objetivo verificar de que maneira os indicadores da condição financeira influenciam a concessão de subvenções governamentais pelos estados brasileiros em um ambiente de crise econômica. Considerando-se como indicadores da condição financeira dos governos, algumas variáveis inseridas no modelo proposto por Wang et al. (2007), a saber: (i) Posição de Caixa; (PCX) (ii) Liquidez Imediata (LQI); (iii) Liquidez Corrente (LQC); (iv) Posição Operacional (POP); (v) Superávit/Déficit per capita (SDPC); (vi) Obrigações de Longo Prazo (OLP); e (vii) Tributos per capita (TPC). A amostra da pesquisa compreendeu as 27 unidades federativas. Os dados utilizados para compor as variáveis foram extraídos do banco de dados da Finanças do Brasil, dos portais de transparência dos 27 estados da federação e do portal do Instituto Brasileiro de Geografia e Estatística, durante o período de 2010 a 2016. Como resultado, a partir do teste de média, verificou-se que não houve diferença significante da concessão de subvenções governamentais (SUBG) entre os períodos de análise. No que diz respeito à análise da hipótese (H1: os indicadores da condição financeira possuem uma relação direta com as subvenções governamentais), houve a rejeição parcial, pois, a variável PCX (representativa de solvência de caixa) não apresentou relação significante com a variável dependente (SUBG), bem como as variáveis LQC, POP e OLP mostrou uma relação indireta (negativa) com as subvenções. Por outro lado, verificou-se que quanto maior/melhor LQI, SDPC e TPC os estados possuírem maior/melhor será a capacidade destes em concederem subvenções. Concluindo assim que, mesmo com a dificuldade de caixa que os governos estaduais vêm passando ao longo da crise, a concessão de subvenções governamentais não sofreram grandes reduções, possivelmente, pelo fato destas promoverem o desenvolvimento do país atuando de forma direta e indireta para o bem-estar da sociedade.
The health benefits of exercise therapy for patients with Down syndrome: A systematic review
Authors: Paul Yvonne , Ellapen Terry J. , Barnard Marco , Hammill Henriette V. , Swanepoel Mariette
Published: October 2019

Background: Many patients with Down syndrome (PWDS) have poor cardiometabolic risk profiles, aerobic capacities and weak hypotonic muscles, primarily because of physical inactivity and poor diet.Objectives: This study discusses the benefits of exercise therapy on body composition, aerobic capacity, muscle strength, proprioception and cardiometabolic profiles of PWDS.Methods: A literature review using the Crossref metadatabase, following Preferred Reporting Items for Systematic Reviews and Meta-Analyses (PRISMA), focusing on the period 2007-2018, was undertaken. Each record was judged adopting the modified Downs and Black Appraisal Scale. The literature investigation identified 15 701 records. Records were excluded if they were published before 2007, pertained to the impact of exercise on intellectual disabilities beyond Down syndrome or the impact of medical, pharmaceutical, nutrition and psychological interventions among PWDS and were published in languages besides English. Nineteen articles were synthesised into this commentary.Results: PWDS have a heightened cardiometabolic risk profile and high oxidative stress associated with elevated insulin resistance, poor insulin sensitivity, atherosclerosis and hypertension. PWDS have low aerobic capacity (VO2max), peak heart rates, muscle strength, agility and balance. Regular physical activity is beneficial to improve their VO2max and muscle strength. Moreover, regular physical activity reduces lipid peroxidation and arterial cell wall damage, the pathogenesis of atheroma is limited.Conclusion: Exercise therapy compliance seems to have a positive impact on the cardiometabolic risk profile, muscle strength and aerobic work capacity of PWDS. Nonetheless, additional vigorous experimental investigations are necessary to better understand the effect of exercise therapy on the aerobic, strength, proprioception and cardiometabolic risk profile of PWDS.
Editorial: Research into physiotherapy
Authors: Editor The
Published: October 2019

No Abstract.
Book reviews
Authors: Various Author
Published: October 2019

No abstract available
Stable Components and Layers
Authors: Jardine J. F.
Published: October 2019

Component graphs $\unicode[STIX]{x1D6E4}_{0}(F)$ are defined for arrays of sets $F$, and, in particular, for arrays of path components for Vietoris–Rips complexes and Lesnick complexes. The path components of $\unicode[STIX]{x1D6E4}_{0}(F)$ are the stable components of the array $F$. The stable components for the system of Lesnick complexes $\{L_{s,k}(X)\}$ for a finite data set $X$ decompose into layers, which are themselves path components of a graph. Combinatorial scoring functions are defined for layers and stable components.
Order Continuous Operators on Pre-Riesz Spaces and Embeddings
Authors: Kalauch Anke , Malinowski Helena
Published: October 2019

We investigate properties of order continuous operators on pre-Riesz spaces with respect to the embedding of the range space into a vector lattice cover or, in particular, into its Dedekind completion. We show that order continuity is preserved under this embedding for positive operators, but not in general.

For the vector lattice

\ell_0^\infty

of eventually constant sequences, we consider the pre-Riesz space of regular operators on

\ell_0^\infty

and show that making the range space Dedekind complete does not provide a vector lattice cover of the pre-Riesz space. A similar counterexample is obtained for the directed part of the space of order continuous operators on

\ell_0^\infty

.
Les cellules stromales mésenchymateuses : 2001-2018 - état des lieux d’une innovation thérapeutique en santé animale et point de vue de l’industrie
Authors: Maddens Stéphane , Viguier Eric , Cadoré Jean-Luc
Published: October 2019

Mesenchymal stromal cells : 2001-2018 current situation of this therapeutic innovation in animal healthcare and industry point of view

Great strides have been in made in the last two decades in the field of veterinary regenerative medicine. Mesenchymal Stromal Cells’ (MSCs) mechanism of action has been completely revisited. MSCs, wishfully thought as cells being able to differenciate themselves and replace damaged tissue, have turned out to be only transient but key signalling cells, interacting with the microenvironment to restore the conditions for an efficient tissue healing process. This new perceiption of their mechanims of action has drived the expansion of their use, initially restricted to autologous treatments of orthopaedic conditions, to allogenic treatments to tackle diverse inflammatory and immune problems. However, both the diversity of the sources of MSCs and the use of different production processes, can render scientific data analysis confusing ; especially for veterinarians who now have at their fingertips a choice of an wide array of therapeutic cellular products. In this review we aim to clarify the current state of the art in animal regenerative medicine, while lightening them with scientific data from studies in man.
Autisme, médiation équine et bien-être
Authors: Grandgeorge Marine , Hausberger Martine
Published: October 2019

Autism, equine assisted intervention and welfare.

Equine assisted interventions for people with autism spectrum disorders (ASD) are more and more widespread in France. Nevertheless, scientific studies on this topic remain scarce, especially on practice effects on horses and on humans. Our paper proposes, using ethological point of view, to review real benefits of the practice on humans, of effects on horse welfare, and to give lines of thought. Taken together, it could help to improve equine assisted interventions.
Feasibility of Multiple Piston Motion Control Approaches in a Free Piston Engine Generator
Authors: Bade Mehar , Clark Nigel , Famouri Parviz , Guggilapu PriyaankaDevi
Published: October 2019

The control and design optimization of a Free Piston Engine Generator (FPEG) has been found to be difficult as each independent variable changes the piston dynamics with respect to time. These dynamics, in turn, alter the generator and engine response to other governing variables. As a result, the FPEG system requires an energy balance control algorithm such that the cumulative energy delivered by the engine is equal to the cumulative energy taken by the generator for stable operation. The main objective of this control algorithm is to match the power generated by the engine to the power demanded by the generator. In a conventional crankshaft engine, this energy balance control is similar to the use of a governor and a flywheel to control the rotational speed. In general, if the generator consumes more energy in a cycle than the engine provides, the system moves towards a stall. If the generator consumes less energy, then the effective stroke, compression ratio and maximum translator velocity must rise steadily from cycle-to-cycle until the heat transfer losses stop the increase. Moreover, when stiff springs are added to the FPEG system, the dynamics becomes more sinusoidal and more consistent with increasing spring stiffness. To understand the behavior of proposed control and cycle-to-cycle variations, a comprehensive FPEG numerical model with a 1 kW target electric power was developed in MATLAB®/Simulink. An FPEG system corresponding to that numerical model has been operated in the laboratory. This MATLAB®/Simulink numerical model has been used to examine the sensitivity of FPEG dynamics and performance parameters to the changes in design and operating inputs. A difficulty during the modeling is associated with the cycle-to-cycle energy balance, and this difficulty is also reflected in the real-world FPEG control. Therefore, the authors have devised a control strategy similar to the real world intended control methodology. In this numerical model, two different feedback control methodologies were implemented and investigated. These control methodologies were applied to regulate the generator load with selected control or input variables, namely peak pressure, mid-stroke piston velocity, trapped compression ratio and dead center set points. The controllers with optimized coefficients demonstrated the feasibility of energy balance management during the transient operation. Based on the simulation results, the controllers with compression ratio, peak pressure and dead center clearance set points as control variables demonstrated stable FPEG operation whereas the mid-stroke velocity failed to achieve the steady-state operation due to deviation in the piston dynamics. The simulation results from this study will be used as the pathway for improving and optimizing the experimental FPEG design.
Optimization methodology based on neural networks and box-behnken design applied to photocatalysis of acid red 114 dye
Authors: Garg Alok , Kaur Gaganpreet , Sangal Vikas K. , Bajpai Pramod K. , Upadhyay Sushant
Published: October 2019

The present work deals with the modeling and optimization of photocatalytic degradation (UV/TiO2) of aqueous solution of Acid Red 114 (AR114) dye using Artificial Neural Networks (ANN) and RSM. Photocatalytic treatment of AR114 has been executed using suspension TiO2catalyst for commercial applications exposed to ultraviolet irradiation in a shallow pond reactor. ANN optimization has been applied to for predicting the behavior of photocatalysis. The input parameters used for analysis of aqueous dye solution are - TiO2 dose, pH of the dye solution, initial dye concentration, UV light intensity, time and area/volume, and time whereas the outputs are evaluated in form of degradation and decolorization efficiency of AR114. The outcomes of ANN optimization have been experimentally validated. Results achieved establish ANN modeling as a good predictive model. Parameteric optimization using multi-parameter optimization has been employed with desirability function approach. Results obtained from RSM are in line as per the results of ANN modeling as well as experimental. First order kinetics is use to effectively express degradation and decolorization of AR114 dyes. Total organic carbon (TOC) removal and GC-MS study of the dye shows the total mineralization and formation of non-toxic intermediate products.
Comparison of Atmospheric Corrosion of Additively Manufactured and Cast Al-10Si-Mg Over a Range of Heat Treatments
Authors: Kubacki Gregory W. , Brownhill John P. , Kelly Robert G.
Published: October 2019

Additive manufacturing (AM) of metals has gained attention as a technology to rapidly produce complex components while reducing waste generated by traditional manufacturing methods. The corrosion properties of AM alloys are not well understood and merit further exploration. The goal of this study is to compare the atmospheric corrosion susceptibility of printed Al-10Si-Mg alloy to its cast counterpart over a range of heat treatments, including as-produced, T5, and T6 tempers. Atmospheric corrosion testing was performed in a salt-fog chamber using a modified G85-A2 cycle for 31 d. Additionally, potentiodynamic testing was used to assess the kinetics of each sample type in dilute Harrison’s solution. Comparison of corrosion damage revealed that cast and AM samples of similar temper had similar damage frequency and average damage depth, but AM samples had greater maximum depths. In as-built and T5 tempers, the AM samples showed preferential attack of the melt pool boundaries. The corrosion was dominated by a dissolution of Al that appeared to favor a path of least resistance through coarser or more discontinuous regions of the Si network at the melt pool boundary. The heat treatment protocol for the T6 temper removed the melt pool structure and resulted in a more general, and more severe, attack because the Si network was no longer present to impede dissolution. Heat treatments after printing were found to be deleterious to the atmospheric corrosion resistance of AM Al-10Si-Mg alloy.
Governing free subjects: flesh, resistance and obedience
Authors: Sforzini Arianna , Verlengia Carolina
Published: October 2019

O presente artigo busca discutir as análises de Michel Foucault sobre poder, resistência e subjetividade, desenvolvidas na segunda metade dos anos 1970. Para isso, nós tomaremos em consideração as diferentes formas a partir das quais ele divulgou seu trabalho (aulas, conferências, artigos, livros, etc.) e um conjunto de documentos de arquivo (manuscritos inéditos) do Fonds Foucault, adquirido recentemente pela Bibliothèque nationale de France. Primeiramente, o artigo analisará a atitude ética e política que leva Foucault a desenvolver uma nova e complexa análise do poder, sobretudo por meio da sua relação com a questão da liberdade e do seu uso dos conceitos de “governamentalidade” e de “crítica”. Em seguida, nós exploraremos manuscritos inéditos sobre a questão da “direção de consciência” e do “governo das almas” na era das reformas. Esses textos mostram seu interesse progressivo, no meio dos anos 1970, pela história moral e política do cristianismo. Demonstraremos, in fine, que é no seio de genealogias complexas que remontam à teologia cristã que Foucault encontra uma nova maneira de pensar a relação a si mesmo como uma possibilidade aberta de conflito e de liberdade.
Subjetividade e história: Notas sobre as relações de Foucault com o pensamento de Kant
Authors: Viotto da Silva Tiago , Rebello Cardoso Júnior Hélio
Published: October 2019

Nesta reflexão enfocamos a contiguidade entre as relações de Foucault com o pensamento de Kant a partir do tema que envolve as afinidades entre a subjetividade e história. Para tanto, nos debruçamos sobre dois textos em específico: o artigo O que são as Luzes? de 1984, e a tese complementar Gênese e estrutura da Antropologia de Kant, de 1961. Como método de abordagem, adotamos uma leitura a contrapelo, isto é, a partir de elementos extraídos de reflexões da década de 1980, procuramos entrever algumas das ressonâncias possíveis de serem hauridas entre a subjetividade e história junto ao trabalho de Foucault de 1961. Sem perder de vista as constantes transformações de seu pensamento, delimitamos, com isso, um campo de problemas específico no desenvolvimento do labor intelectual de Foucault.
Endividado, devo: Governo da vida pelas finanças
Authors: Hennigen Inês
Published: October 2019

Neste artigo, problematizo a financeirização da vida, compreendendo que a política da dívida é uma forma da biopolítica no seio do capitalismo neoliberal. Inicialmente, discuto conceitos foucaultianos para, junto com pensadores como Deleuze, Lazzarato, Fontenelle, Hardt e Negri, abordar a constituição da cultura do consumo e do capitalismo financeiro, configuração sócio-política-econômica na qual advém a figura subjetiva do homem endividado em face da centralidade da relação credor-devedor. Análises acerca da crise de 2008, materiais de pesquisas que realizei, e matérias sobre dívida pública e reformas ditas imprescindíveis são alguns subsídios utilizados para tecer discussões que apontam para uma torção no princípio biopolítico na sociedade da dívida: se você puder pagar, você vive; se não, pode morrer. Buscando compor uma recusa às atuais formas de governo e abrir espaço para experiências outras, traço linhas para o desenvolvimento do que nomeio aqui uma educação quanto ao consumo e crédito-dívida.
Building the bridge between education and experience: The case for experiential learning in emergency management education
Authors: Bergeron, DSc Wayne P.
Published: October 2019

While the increasing professionalism of the Emergency Management (EM) field has brought great benefits and opportunities, increasingly the bar to entry into the profession has been on a steep incline with ever increasing mandatory and preferred requirements for EM job applicants it seems. For the EM student or new EM graduate with limited experience opportunities, this can be a severe handicap in the quest to secure a viable entry level EM position. Experiential Learning provides an excellent solution to this problem.
Exploring the heterogeneity in the cyclone evacuation decision in the context of developing economy: A case study of coastal Bangladesh
Authors: Das, PhD Candidate in Civil Engineering Tanmay , Hadiuzzaman, PhD Md. , Enam, PhD Annesha , Rahman, PhD Md. Mizanur
Published: October 2019

The critical role of evacuation, particularly for the communities in developing countries exposed to cyclones, has only been realized after some disastrous evacuation experiences in recent cyclones. A profound understanding of the factors influencing the evacuation behavior is necessary to reduce the loss of lives, especially in the cyclone prone communities. The purpose of this research is to identify the key factors influencing households’ evacuation decision during a cyclone in developing economies. To this end, the research employs state of the art discrete choice modeling techniques referred to as mixed logit models. The study builds on the data collected in 1991 from the coastal areas of Bangladesh following the cyclone Sidr. The analysis result reveals that the evacuees of developing countries like Bangladesh resort to nearby tall buildings during cyclone due to the insufficient facilities provided by the cyclone centers. In case of mandatory evacuation and for temporary house owner, the households’ decision to evacuate is found to be uniform. However, significant heterogeneity is found in the households’ decision to evacuate whenever they receive a voluntary notice and also if they live sufficiently far from the sea shore. The factors that are identified to be influencing households’ evacuation decision during a cyclone will enable potential evacuees to better evaluate their decision and consequently make more informed decision about the timing as well as the necessity of evacuation. The analysis result will also help emergency managers to decide on the timing and the type of evacuation orders they need to provide for reducing causalities due to landfall caused by cyclones.
July/August 2019
Authors: Emergency Management Journal of
Published: October 2019

Volume 17, Number 4
Het (on)voorspelbare brein
Authors: de Bruin Leon
Published: October 2019

The (un)predictable brain

In this paper I give an assessment of the (potential) predictive power of brainreading technology by comparing it to our capacity to predict others’ behavior by means of mental state attribution (mindreading). I identify two constraints that are typically ignored in the literature on brainreading and discuss their implications for the predictive power of brainreading. I conclude that there is little reason to expect that brainreading technology will generate better predictions than everyday mindreading, but that it might offer a good alternative in cases where mindreading underperforms or completely fails.
Representaties in cognitieve neurowetenschap
Authors: Uithol Sebo
Published: October 2019

Representations in cognitive neuroscience

Explanations in terms of representations are ubiquitous in cognitive neuroscience. In this paper I will show that the question of who is using the representation is of crucial importance, but not often explicitly answered. Two possible users, the scientist and the cognitive system are theoretically strictly distinct, but the distinction is in practice often blurred. It is tempting to jump from ‘representations to the scientist’ to ‘representations to the system’. This step, however, is unwarranted. I will show that representations to the scientist are not in themselves problematic, and can even be useful, but can lead to wrong conclusions. The problems with representations for the system are more fundamental.
LOCAL BINARY GRAPH FEATURE REDUCTION FOR THREE-DIMENSIONAL GABOR FILTER BASED HYPERSPECTRAL IMAGE CLASSIFICATION
Authors: Darvishnezhad M. , Ghassemian H. , Imani M.
Published: October 2019

Abstract. One of the challenges of the hyperspectral image classification is the fusing spectral and spatial features. There are several methods for fusing features in hyperspectral image classification. Three-Dimensional Gabor Filters are the best method to extract spectral and spatial features simultaneously. However, one of the problems with using the 3D Gabor filter is the high number of extracted features. In this paper, to reducing extracted features from 3D-Gabor filters and increasing the classification accuracy in hyperspectral images, a novel method named Local Binary Graph (LBG) is used. The LBG method uses a local graph to solve the optimization problem, which maps each pixel to the reduced dimension image and improves the McNemar test result in comparison with the existing methods. Finally, the result of the proposed method achieved 96.2% and 92.6% overall accuracy for Pavia University and Indian Pines data set, respectively.
COMPARISON OF ANALYTICAL HIERARCHY PROCESS AND FUZZY METHOD IN DEFORESTATION RISK ZONING
Authors: Pir Bavaghar M. , Ghazanfari H. , Rahimi S.
Published: October 2019

Abstract. Detection and prediction of land-cover changes are powerful tools in natural resources management and ecosystem assessment. This study was carried out to compare multi-criteria decision techniques (AHP and fuzzy) in deforestation risk zoning. The TM images of Landsat 5 were used to produce deforestation map during 1989 to 2011. In the next step, the most important criteria affecting deforestation were determined. The final weights of criteria were computed using expert's judgments, pairwise comparisons by AHP and also linguistic terms by fuzzy technique. Weighted linear combination method was used to combining the criteria, and each of the generated maps with its special weight was integrated into the GIS environment. The final deforestation risk zoning map, in both methods of AHP and fuzzy, were classified into five classes including of very high, high, moderate, low and very low risk.Evaluation of the results showed that 81.07 and 80.65 percentages of deforestation are located in the very high and high risk zones in the maps derived from AHP and fuzzy approaches, respectively. Based on the results, AHP and fuzzy methods have suitable performance in deforestation risk zoning. Thus, despite the different nature of the AHP and fuzzy methods, it was observed that these two methods do not have much difference in deforestation risk zoning of the study area, in practice.
Panorama de la economía social en Chile: la brecha entre definiciones formales y sustantivas
Authors: Letelier Araya Eduardo , Vanhulst Julien , Cid Aguayo Beatriz , González Meyer Raúl
Published: October 2019

El presente artículo busca dimensionar y caracterizar el sector de la economía social en Chile al año 2015, adaptando la tipología propuesta por EESC/CIRIEC para Europa. A partir de la sistematización de datos cuantitativos primarios levantados para el estudio, se plantea una visión panorámica comparable con otros países que usan la tipología de EESC/CIRIEC y complementaria a los estudios realizados sobre el subsector no mercantil de la economía social en Chile. De acuerdo a los resultados obtenidos en el estudio, en el año 2015 la economía social en Chile empleó a 313.591 trabajadores remunerados y generó ingresos monetarios por US$8.963 millones. Estas cifras son equivalentes al 3,8 por ciento de la ocupación y del 3,7 por ciento del PIB de Chile, respectivamente, situando al país por debajo del promedio de la Unión Europea y por encima de países de ingreso per cápita comparables como Grecia o Polonia. No obstante, debido a la alta tasa de organizaciones y empresas informales estos valores podrían estar subestimados en un rango de 64 a 83 por ciento, respectivamente. Más aún, antecedentes relativos al empleo voluntario o no remunerado en el subsector no mercantil, apuntarían hacia la duplicación del número de trabajadores que participan en el sector de la economía social en Chile. El artículo concluye con una reflexión acerca de la tensión entre definiciones formales y substantivas de la economía social y las dificultades de definir criterios de demarcación sin ambigüedades, en atención a distintas situaciones que se presentaron en el proceso de levantamiento de información para el estudio.
Discriminação e Classificação da Exclusão Financeira a partir da Análise de Agrupamentos e Redes Neurais
Authors: Macrini José Leonardo Ribeiro , Santolin Roberto Salvador , De Oliveira Cinthia Rodrigues , De Paula Teofilo Henrique Pereira
Published: October 2019

A identificação da exclusão financeira está muitas vezes sujeita a elevado grau de subjetividade. Entretanto, o critério de separação, entre excluídos e não excluídos, é uma questão pouco explorada. Frequentemente, o limite que separa as duas categorias tem caráter difuso e subjetivo. O presente trabalho tem como objetivo propor uma metodologia, baseada em Análise de Agrupamentos e Redes Neurais, para a delimitação em questão. Utiliza-se, para tanto, dados de uma pesquisa empírica realizada no município de Três Rios (Brasil). Espera-se que esta investigação possa contribuir para o delineamento e execução de políticas voltadas para a promoção da inclusão financeira e bancarização.
Juventude e protagonismo: categoria teórica e social em experiências de extensão universitária
Authors: Miranda Janira Sodré , Queiroz Eliani Fátima Covem , Dos Santos Nicali Bleyer Ferreira , Rodrigues Divino De Jesus da Silva
Published: October 2019

O presente artigo visa apresentar as experiências extensionistas desenvolvidas pela Pró-Reitoria de Extensão e Apoio Estudantil (Proex), da Pontifícia Universidade Católica de Goiás (PUC Goiás), que buscam potencializar o protagonismo juvenil de acadêmicos e educandos por meio de práticas que visam auxiliar na transformação da realidade social. O engajamento e protagonismo de jovens na extensão universitária da PUC Goiás se dá a partir do locus social dos sujeitos, tanto de jovens das comunidades atendidas pelos projetos extensionistas, que encontram nos projetos a oportunidade para potencializar sua cidadania e acesso a direitos sociais; como de jovens universitários que atuam na extensão na qualidade de estagiários, monitores ou voluntários, potencializando sua formação cidadã, bem como sua profissionalização a partir das demandas sociais e da capacitação profissional para atuar em uma realidade complexa e desigual.
Una atribución compartida: Camões y Hurtado de MendozaA Shared Attribution: Camões and Hurtado de Mendoza—Dedicado a Noemí Basalo
Authors: Barro Soledad Pérez-Abadín
Published: October 2019

The recently discovered Cancioneiro Verdelho contains a gloss (“Todo el mal se hace blando”) attributed to Camões. Another version appears in the Obras of Diego Hurtado de Mendoza (1610), within the Quintillas “Ya no más casos pasados”, also inserted in “Veo tener a mi enemiga” (BNF VII, 354). This recurrence reveals a process of expansion in three phases, resulting in a poem that is composed of independent sections. Although the contradictory information from the testimonies does not allow for the authorship to be determined, this textual convergence demonstrates the dynamic cultural exchange between Spain and Portugal during the sixteenth century.
Ethical Living and Work Self Efficacy Beliefs of Academicians of Higher Education in ASIA: A Key Determinant of One's Belief in One's Ability to Achieve the Desired Result in a Precise State of Affairs
Authors: Sivarethinamohan R. , Sujatha S.
Published: October 2019

Ethical academicians are perfectly virtuous. They always strive for greater virtue and follow strictly the moral stands of their profession. The ethical living and self-efficacy are important to them because of being fair and honest in their academics. Determinants of ethics include knowledge, values, attitude and intention. The domain-specific framework developed by Verbeke et al. (2004) has been considered as fundamental for identifying the dimensionality of work Self-efficacy and ethical challenges of academicians. A comprehensive literature review is undertaken regarding the concept of work Self-efficacy to assess workers' confidence and their ethical living in the workplace. This article examines theoretically and analytically the antecedent processes and information cues involved in the formation of work self-efficacy. Theoretical and numerical analysis of the key determinants of work self-efficacy increases the understanding of moral values, truthful fair and honest. Factors which decisively affect ethical living were identified from literature collected from the academicians who are working in the Five Regions of Asia - Central Asia (Tajikistan, Uzbekistan, Kazakhstan, Turkmenistan, Kyrgyzstan) East Asia (China, Mongolia, North Korea, South Korea, Japan, Hong Kong, Taiwan, Macau) South Asia (Sri Lanka, Bangladesh, India, Afghanistan, Pakistan, Bhutan, Nepal, the Maldives) through Google classroom. Methods of Statistical Analysis of self-efficacy data are descriptive statistics, Pearson Correlation Coefficient and Kolmogorov-Smirvnos normality test and Kruskal–Wallis one-way analysis of variance and Principal Component Analysis. Positive, mastery experiences give academicians a sense of accomplishment when they have faced a challenge ethically. Positive Zeal during Academic interaction, vicarious experiences that occur when academician see others succeed and feel an increased sense of their own ability to succeed. Sincere & deeper self, mingling with students, Social persuasion increase a teacher’s sense of confidence and ability to succeed. A proper plan of action has drawn special attention, and inferences pertaining to future research are discussed at the end of the critique.
Simulating Behavior Diversity in BioCrowds
Authors: Knob Paulo , Musse Soraia Raupp
Published: October 2019

Most of the techniques available nowadays for crowd simulation are focused on a specific situation, e.g. evacuation inhazardous events. Very few of them consider the cultural and personality aspects present in a society to determine the behavior of agents. Therefore, this work aims to build a framework able to deal with different cultural and personality traits as input, and translate them into a group parametrization, which is going to determine the behavior of groups and crowds in virtual environments. Also, we include in BioCrowds a comfort response for agents, in terms of density and thermal characteristics of the environment. Results indicate that the cultural/psychological mappings seem promising, since agents were able to perform as intended. Additionally, agents were able to react due to thermal and density comfort, improving their ability to react to environmental changes.
An Efficient Hierarchical Layered Graph Approach for Multi-Region Segmentation
Authors: Leon Leissi M. Castañeda , Ciesielski Krzysztof Chris , Miranda Paulo A. Vechiatto
Published: October 2019

We proposed a novel efficient seed-based method for the multiple region segmentation of images based on graphs, named Hierarchical Layered Oriented Image Foresting Transform (HLOIFT). It uses a tree of the relations between the image objects, represented by a node. Each tree node may contain different individual high-level priors and defines a weighted digraph, named as layer. The layer graphs are then integrated into a hierarchical graph, considering the hierarchical relations of inclusion and exclusion. A single energy optimization is performed in the hierarchical layered weighted digraph leading to globally optimal results satisfying all the high-level priors. The experimental evaluations of HLOIFT and its extensions, on medical, natural and synthetic images, indicate promising results comparable to the state-of-the-art methods, but with lower computational complexity. Compared to hierarchical segmentation by the min-cut/max-flow algorithm, our approach is less restrictive, leading to globally optimal results in more general scenarios, and has a better running time.
Multimodal person discovery using label propagation over speaking faces graphs
Authors: Fonseca Gabriel Barbosa , Patrocínio Jr Zenilton K. G. , Gravier Guillaume , Guimarães Silvio Jamil F.
Published: October 2019

The indexing of large datasets is a task of great importance, since it directly impacts on the quality of information that can be retrieved from these sets. Unfortunately, some datasets are growing in size so fast that manually indexing becomes unfeasible. Automatic indexing techniques can be applied to overcome this issue, and in this study, a unsupervised technique for multimodal person discovery is proposed, which consists in detecting persons that are appearing and speaking simultaneously on a video and associating names to them. To achieve that, the data is modeled as a graph of speaking-faces, and names are extracted via OCR and propagated through the graph based on audiovisual relations between speaking faces. To propagate labels, two graph based methods are proposed, one based on random walks and the other based on a hierarchical approach. In order to assess the proposed approach, we use two graph clustering baselines, and different modality fusion approaches. On the MediaEval MPD 2017 dataset, the proposed label propagation methods outperform all literature methods except one, which uses a different approach on the pre-processing step. Even though the Kappa coefficient indicates that the random walk and the hierarchical label propagation produce highly equivalent results, the hierarchical propagation is more than 6 times faster than the random walk under same configurations.
An Approach to Classify Chronic Kidney Diseases using Scintigraphy Images
Authors: Rebouças Filho Pedro Pedrosa , da Silva Suane Pires Pinheiro , Almeida Jefferson Silva , Ohata Elene Firmeza , Alves Shara Shami Araujo , Hercules Silva Francisco dos Santos
Published: October 2019

Chronic kidney diseases cause over a million deaths worldwide every year. One of the techniques used to diagnose the diseases is renal scintigraphy. However, the way that is processed can vary depending on hospitals and doctors, compromising the reproducibility of the method. In this context, we propose an approach to process the exam using computer vision and machine learning to classify the stage of chronic kidney disease. An analysis of different features extraction methods, such as Gray-Level Co-occurrence Matrix, Structural Co-occurrence Matrix, Local Binary Patters (LBP), Hu's Moments and Zernike's Moments in combination with machine learning methods, such as Bayes, Multi-layer Perceptron, k-Nearest Neighbors, Random Forest and Support Vector Machines (SVM), was performed. The best result was obtained by combining LBP feature extractor with SVM classifier. This combination achieved accuracy of 92.00% and F1-score of 91.00%, indicating that the proposed method is adequate to classify chronic kidney disease in two stages, being a high risk of developing end-stage renal failure and other outcomes, and otherwise.