Relational Techniques Research Articles

Expectativas e vivências no processo de parto: interacionismo simbólico

Objetivo: compreender os fatores facilitadores e dificultadores no parto imaginados pelas gestantes e vivenciados pelas parturientes. Método: trata-se de um estudo descritivo, qualitativo tendo como referencial teórico o Interacionalismo Simbólico. A coleta de dados ocorreu por meio de oficinas, entrevista semi estruturada no pré e pós parto. Os dados foram analisados por meio de análise de conteúdo. Resultados: Participaram do estudo 11 mulheres no pré parto e oficina e 05 no pós parto. Foram identificadas duas categorias: Parto: experiência marcante; Entre expectativas e vivencias. Discussão: Nas expectativas e na realidade sobre os fatores dificultadores e facilitadores no momento do parto estiveram presentes significados construidos e modificados pelas interações com profissionais e rede social. Conclusão: A vivencia do parto pode ressignificar paradigmas culturais e sociais. A valorização das técnicas relacionais qualifica a assistência na direção da construção de significados e experiências.

Bibliometric analysis of ecopreneurship using VOSviewer and RStudio Bibliometrix, 1989–2019

PurposeThis article offers a bibliometric analysis and explores the relationships among the documents on ecopreneurship by using relational techniques. The results highlight the publication trends; most cited documents, top contributing authors, countries and institutions with highest productivity and most contributing journals to the research field.Design/methodology/approachInitially, 216 documents were retrieved from the Thompson Reuters Web of Science Core Collection database with three document types: articles, review and book review. All the documents were considered for the analysis. Then VOSviewer and bibliometric analysis using R with an inbuilt utility Biblioshiny were used together for co-word analysis, co-citation network analysis, generating collaboration networks and also generating a unique three-field plot to analyze the evolution of a research field.FindingsThe results highlight the publication trends: most cited documents, top contributing authors, countries and institutions with highest productivity and most contributing journals to the research field. The network analysis of co-authorship, co-citation, keyword co-occurrence and bibliographic coupling reveals most prominent relationships between authors, documents, co-cited references, sources and countries for the available documents on the research field.Research limitations/implicationsThe study helps not only in expansion of knowledgebase on the research topic but also in understanding the evolution of the ecopreneurship to provide research support further in this area.Originality/valueEcopreneurship is an emerging field of research connecting ecology and entrepreneurship together, making it a potential research area. The contributions made to this research field from 1989 to 2019 serve as a core for conducting this analysis. The study is an effort to help in coordinating research network across countries, authors and affiliating universities.

Optimization of dry sliding wear parameters of Al4Mg system reinforced with high strength alloy particulate (HSAp)

The dry sliding wear behaviour of Al4Mg binary alloy and Al4Mg reinforced with Al20Cu20Mg composites was examined using pin on disc apparatus. The composites were synthesized by the reinforcement of different weight % (5, 10 and 15) of the high strength alloy particulate (HSAp) in the base binary alloy Al4Mg using stir casting technique followed by hot extrusion. In this way, composites were prepared with metal particulate reinforcement which are termed as metal-metal composites which is a novel idea instead of reinforcement of ceramic particulate. These extrudates of non-reinforced base alloy and composites were characterized to optimise dry sliding wear parameters, wear resistance and coefficient of friction under the load conditions of 0.5, 1 and 1.5 kgf at the sliding velocities is of 100, 120 and 140 metre per second and sliding times of 15, 30 and 45 seconds respectively. The wear parameters were optimised using Grey relational analysis (GRA) and ANOVA techniques and obtained the optimal combination of input parameters.

Mapping smart experiences in tourism: A bibliometric approach

There has been a significant increase in the number of studies addressing smart experiences in the context of tourism (SET). Nevertheless, no previous work has systematically and critically analysed the literature on this subject. To fulfil this gap, this paper examines the evolution of SET as a research topic by mapping the scientific production on it. To this end, 84 papers published from 2011 to April 2019 were retrieved from Scopus. To map this data, a blend of bibliometric analysis techniques, including the analysis of evaluative measures (productivity and impact metrics) and relational techniques (word frequency analysis and key theme analysis), was employed. Evaluative metrics were carried out using Plotly, Excel, and DB Gnosis software. The reviewed papers were then visually analysed through mind maps using BizAgi Process Modeler. The study presents an original theoretical insight, as well as a significant methodological contribution, as it employs an integrative approach of bibliometric analysis that relies on a set of rigorous techniques and can be implemented in future studies.

Foam drainage enhancement in foam fractionation for dye removal: process optimization by Taguchi methodology and grey relational analysis

Abstract The isolation of dye (methylene blue) by employing a foam fractionation technique with the assistance of a surfactant (sodium dodecyl sulfate) has been dealt with in this paper. This study also incorporated the comparison between contrasted and experimental columns. Taguchi methodology and grey relational analysis techniques were used to ascertain optimal conditions at which the column should be operated to achieve maximum percentage removal and enrichment ratio, for both the columns. The analysis of variance study suggested dye concentration to be the most influencing parameter. The relationship between dye concentration in the bulk phase and the foam phase was also deduced.

Mapping the Literature on Sustainability Reporting: A Bibliometric Analysis Grounded in Scopus and Web of Science Core Collection

Sustainability reporting has become an increasingly common practice among companies around the globe as around 90% of the world’s 250 largest companies from Fortune 500 prepare and publish its sustainability reporting. Aiming to help researchers to grasp the intellectual landscape of global research on sustainable reporting, we conducted a bibliometric analysis using CiteSpace software by applying evaluative and relational techniques to 928 articles published in 480 different journals in Scopus and 698 articles published in 374 different journals in Web of Science Core Collection from 1981 to 2020. Our findings indicate that the number of articles published in the field has increased rapidly, especially since 2009. We identified the leading countries (the United States, Australia, the United Kingdom, Germany, Spain, Canada, the Netherlands and Italy), the most prolific journals (Journal of Cleaner Production, Business Strategy and the Environment, Journal of Business Ethics), main journals categories (Business, Economics, Management and Finance, Environmental and Ecology and Science, Technology and Engineering), and the major research directions in the near future (sustainability reporting, corporate social responsibility, sustainable development, disclosure). From our findings we infer that the sustainability reporting research has just recently (2013-2019) gained traction in the literature. Moreover, our findings testify that a kind of bifurcation point has occurred is 2011 that manifests the maturity of the field of sustainability reporting. All this provides the reader with a high-view look at sustainable reporting as these quantitative findings complementing qualitative and providing valuable insights into the field.

Influence of Fiber Volume and Fiber Length on Thermal and Flexural Properties of a Hybrid Natural Polymer Composite Prepared with Banana Stem, Pineapple Leaf, and S‐Glass

There is more demand for natural fiber‐reinforced composites in the energy sector, and their impact on the environment is almost zero. Natural fiber has plenty of advantages, such as easy recycling and degrading property, low density, and low price. Natural fiber’s thermal properties and flexural properties are less than conventional fiber. This work deals with the changes in the thermal properties and mechanical properties of S‐glass reinforced with a sodium hydroxide‐treated pineapple leaf (PALF) and banana stem fibers. Banana stem and pineapple leaf fibers (PALF) were used at various volume fractions, i.e., 30%, 40%, and 50%, and various fiber lengths of 20 cm, 30 cm, and 40 cm with S‐glass, and their effects on the thermal and mechanical properties were studied, and their optimum values were found. It was evidenced that increasing the fiber volume and fiber length enhanced the flexural and thermal properties up to 40% of the fiber volume, and started to decrease at 50% of the fiber volume. The fiber length provides an affirmative effect on the flexural properties and a pessimistic effect on the thermal properties. The PALF S‐glass combination of 40% fiber load and 40 cm fiber length provides maximum flexural strength, flexural modulus, storage modulus, and lowest loss modulus based on hybrid Taguchi grey relational optimization techniques. PALF S‐glass hybrid composite has been found to have 7.80%, 3.44%, 1.17% higher flexural strength, flexural modulus, and loss modulus, respectively, and 15.74% lower storage modulus compared to banana S‐glass hybrid composite.

Speaking, Gesturing, Drawing, Building: Relational Techniques of a Kreyol Architecture

Speaking, Gesturing, Drawing, Building: Relational Techniques of a Kreyol Architecture

Anonymization Techniques for Privacy Preserving Data Publishing: A Comprehensive Survey

Anonymization is a practical solution for preserving user’s privacy in data publishing. Data owners such as hospitals, banks, social network (SN) service providers, and insurance companies anonymize their user’s data before publishing it to protect the privacy of users whereas anonymous data remains useful for legitimate information consumers. Many anonymization models, algorithms, frameworks, and prototypes have been proposed/developed for privacy preserving data publishing (PPDP). These models/algorithms anonymize users’ data which is mainly in the form of tables or graphs depending upon the data owners. It is of paramount importance to provide good perspectives of the whole information privacy area involving both tabular and SN data, and recent anonymization researches. In this paper, we presents a comprehensive survey about SN (i.e., graphs) and relational (i.e., tabular) data anonymization techniques used in the PPDP. We systematically categorize the existing anonymization techniques into relational and structural anonymization, and present an up to date thorough review on existing anonymization techniques and metrics used for their evaluation. Our aim is to provide deeper insights about the PPDP problem involving both graphs and tabular data, possible attacks that can be launched on the sanitized published data, different actors involved in the anonymization scenario, and major differences in amount of private information contained in graphs and relational data, respectively. We present various representative anonymization methods that have been proposed to solve privacy problems in application-specific scenarios of the SNs. Furthermore, we highlight the user’s re-identification methods used by malevolent adversaries to re-identify people uniquely from the privacy preserved published data. Additionally, we discuss the challenges of anonymizing both graphs and tabular data, and elaborate promising research directions. To the best of our knowledge, this is the first work to systematically cover recent PPDP techniques involving both SN and relational data, and it provides a solid foundation for future studies in the PPDP field.

Mapping Social Impact: A Bibliometric Analysis

Social dimension is a fundamental element in the evaluation of initiatives and policies that are demanded and promoted by public and private organizations as well as society as a whole. Thus, there is a thriving interest in social impact research, especially from the point of view of its measurement and valuation. In this work, we explored the rising attention on the concept of social impact to identify salient agents in the field and categorize the conceptual structure of research. To achieve this, we used evaluative and relational techniques combining traditional bibliometric analysis using VOSviewer and a text mining analysis based on natural processing language (NLP) to search for documents with the term “social impact” in the title. The documents were extracted from the database Web of Science (WoS) for the period of 1938–2020. As a result, we mapped the concept of social impact from up to 1677 documents, providing an overview of the topics in which the concept was used (e.g., health, finance, environment and development, etc.) and the trends of research. This work seeks to serve as a roadmap that reflects not only the evolution of social impact but also future lines of research that require attention.

TANDA EMOSI TROPES SYMBOL PADA KOMIK INDONESIA PASUTRI GAJE

This study aims to describe symbolic form of sign used to describe the emotions of Pasutri Gaje comic characters. Theoretically, this study discusses tropes symbols as additional elements whose existence has a major influence on conveying the emotions of the characters to the readers. This is a descriptive qualitative study. Apply the theory of semiotics proposed by Ferdinand de Saussure about dichotomy signifie dan significant and Pierce about triadic feature of sign. Datas sourced from picture of online comic Pasutri Gaje season 1 until episode 13 season 3. Datas is collected by observing method with recording and note-taking technique. Data were analysed by extralingual equivalent methods and comparative relational techniques. Data presented used formal and informal method.
 There seven kind of emotions symbol called tropes symbol used in comic. There were cross popin for angry sign, sweat drops to clumsy sign, drool to show feeling tempted, chibi to show childish side, dog ear/tail to express innocence in expecting something, blush to express feeling embarrassed, and shadow over face to show extreme anger. Tropes symbols fulfills the element of signification in accordance with the concept proposed by Pierce hence it can convey the emotional situation of character to the readers.

Examining 21st Century Skill Levels of Students and the Relationship between Skills

Bu çalışmada 21. yüzyıl öğrenenlerinin sahip olduğu beceri düzeyleri ile bu beceriler arasındaki ilişki düzeyinin belirlenmesi amaçlanmıştır. Nicel araştırma yöntemlerinden deneysel olmayan desenlerden ilişkisel araştırma deseniyle yürütülen bu çalışmanın örneklemi kolay ulaşılabilir örnekleme yöntemiyle belirlenmiştir. Çalışmanın katılımcılarını Atatürk Üniversitesi’nde öğrenim gören toplam 183 öğrenci oluşturmuştur. Computational Thinking Scale, Dijital Okuryazarlık Ölçeği ve Etkili İletişim Ölçeği kullanılarak toplanan verilerin analizinde, ilişkisel ve betimsel analiz teknikleri kullanılmıştır. Betimsel bulgular incelendiğinde öğrencilerin genel olarak becerilerin çoğuna sahip oldukları ancak algoritmik düşünme becerisiyle ilgili kararsızlık yaşadıkları anlaşılmıştır. Yapılan korelasyon analizi neticesinde eleştirel düşünme, problem çözme, yaratıcılık, empati ve etkin dinlemenin tüm değişkenlerle anlamlı düzeyde ilişkili olduğu tespit edilmiştir. Dijital okuryazarlık becerisinin ise ben dili kullanma hariç araştırma kapsamında incelenen tüm değişkenlerle anlamlı düzeyde ilişkili olduğu ortaya çıkmıştır. Egoyu geliştirici dil, etkin dinleme, kendini tanıma/açma ve ben dili kullanma becerileri ile algoritmik düşünme arasındaki ilişkinin anlamlı düzeyde olmadığı belirlenmiştir. Aralarındaki ilişki katsayısı en büyük olan değişkenler ise yaratıcılık ile eleştirel düşünme olduğu görülmüştür.

Multi-response optimisation of micro-milling performance while machining a novel magnesium alloy and its alumina composites

The present research attempts to maximise the overall performance of micro-milling process while machining Mg-3.0Zn-0.7Zr-1.0Cu alloy and its alumina composites. Three performance measures (surface quality, cutting forces, and tool wear) is used for the assessment. Using a Taguchi L18 orthogonal array, eighteen experiments are carried out to test the effect of three levels of spindle speed, feed per tooth, and cutting depth. Grey relational analysis (GRA) and techniques for order of preference by similarity to ideal solution (TOPSIS) are employed to optimise the parameters. In addition, the equal weight method and entropy weight method (EWM) in combination with the analytic hierarchy process (AHP) are used to assign weights to the parameters. The GRA and TOPSIS results yielded the same optimal parameter conditions for maximising the micro-milling performance while using two different weight-assigning methods. Based on the predicted closeness value results, the GRA method is the most efficient for multi-objective optimisation.

Mechanical and Sliding Wear Performance of AA356-Al2O3/SiC/Graphite Alloy Composite Materials: Parametric and Ranking Optimization Using Taguchi DOE and Hybrid AHP-GRA Method

The novelty of this research work lies in (i) designing and fabrication of hybrid AA356-Al2O3/SiC/Graphite alloy composite materials via semi-automatic stir casting method as per the standard industrial procedure. The ceramic particulates Al2O3/SiC were reinforced in a complementary manner (0–8 wt.%, in the step of 2%) along with constant 3 wt.% of graphite bringing about five alloy composite specimens namely SA-08, SA-26, SA-44, SA-62, and SA-80 respectively. The prepared specimens were explored for any synergistic effect of ceramic combinations on physical (density and void content), mechanical (tensile strength, flexural strength, impact strength and hardness), and sliding wear performance adopting ASTM standards. Simultaneously, optimization of sliding wear process parameters (like sliding velocity, sliding distance, normal load, etc.) using the Taguchi design of experiment and Grey Relational Analysis techniques were explored. Further, surface micrographs were analyzed to understand the underlying wear mechanisms and elemental presence/dispersion over the worn-out surfaces. Thereafter, the ranking of compositions was analyzed using a hybrid AHP-GRA material selection method for optimal selection and recommendations. It has been found that both Taguchi and GRA techniques were effective in parameter optimization and gives an attuned outcome. Composition, SA-44 hybrid alloy composite, having the equal presence of both the ceramic particulates tend to optimize the overall performance criteria. The results of ranking obtained by hybrid AHP-GRA analysis attunes to the subjective analysis.

Multidimensional community discovering in heterogeneous social networks

SummaryMultidimensional community discovering in heterogeneous social networks is an important issue. Many approaches have been proposed for community discovering in heterogeneous networks. However, they have focused only on topological properties of these networks, ignoring the embedded semantic information. As the solution to this information glut limit, we propose, in this article, a new multidimensional community discovering approach, which incorporates the multiple types of objects and relationships, derived from a heterogeneous networks. First, we propose to construct the concept lattice family CLF to represent the different objects and relations of the heterogeneous social networks based on the relational concept analysis techniques. Then after we introduce a new algorithm that explores such CLF and extract the multidimensional communities. Carried out experiments on real datasets enhance the effectiveness of our proposal and open promising issues.

An analysis of the online information searching strategies and metacognitive skills exhibited by university students during argumentation activities

Argumentation and the use of metacognitive skills are effective when implementing and supporting online information searching strategies, Screen recordings, semi-structured interviews, online information searching strategy inventory, and the metacognitive awareness inventory were used to collect data. Descriptive, predictive, relational and deductive analysis techniques were used for the analysis of the data. According to the results obtained, argumentation is an effective tool in developing metacognitive skills and information searching strategies. Purposeful thinking, selection of main ideas, evaluation and disorientation online searching strategies are used frequently in the argumentation processes. Argumentation activities strengthen the relationships between information searching strategies and metacognitive skills. Further, argumentation activities can be used to further individuals' experience with online information searching strategies, and to develop their metacognitive skills.

Interorganizational learning: a bibliometric review and research agenda

PurposeScholarly interest in interorganizational learning (IOL) has spiked in the past decade because of its potential to absorb, transfer and create valuable knowledge for enhanced innovative performance and sustained competitive advantage. However, only a handful of review studies exists on the topic. The evolution of IOL has not been studied explicitly and there is a lack of understanding of the field trends. To fill this gap, this paper aims to comprehensively review the literature on IOL and map its evolution and trends using bibliometric techniques. In particular, the authors use visualization of science mapping freeware to systematize the findings and interpret the results.Design/methodology/approachThe authors synthesize the findings using “evaluative bibliometric techniques” to identify the quality and quantity indicators of the IOL research and use “relational bibliometric techniques” to determine the structural indicators of the IOL field such as the intellectual foundations and emerging research themes of IOL research.FindingsThrough an analysis of 208 journal publications obtained from the Scopus database, the authors determine the leading authors, countries, highly cited papers and their contributions to the IOL literature. By identifying the key hotspots, intellectual foundations and emerging trends of IOL, the authors provide promising avenues in IOL research.Originality/valueTo the best of the knowledge, this study is the first to systematically review the IOL literature and provide future research directions.

Multi-response Optimization in the Development of a Superhydrophobic Cotton Fabric Using ZnO Nanoparticles Mediated Resin Finish under Taguchi Based Grey Relational Analysis and Fuzzy Logics Approaches

Present work investigates multi-response optimization in development of super-oleohydrophobic cotton fabric under pad-dry-cure method. A bleached cotton fabric was treated with ZnO nanoparticles (NPs) incorporated oil and water repellent finish (Oleophobol CP-C®) to impart in it antibacterial activity, UV protection and super oleo/hydrophobicity. Taguchi based fuzzy logics and grey relational analytical techniques were employed to obtain simultaneous optimum settings of input parameters including concentrations of ZnO NPs, O-CPC® finish and Knittex FEL®, and curing temperature for multiple responses. The fuzzy logics and grey relational analysis were employed on the experimental data to determine significant process parameters for optimization of multiple responses. The present set of techniques was effectively used to develop super-hydrophobic (WCA: 162 °) and oleophobic (OCA: 140 °) cotton fabric along with appropriate textile properties as reported in the text. The developed fabric has potential uses in various domestic and house-hold applications due to its antibacterial, self-cleaning, non-staining and UV-protection properties.

Aprendizaje cooperativo en los programas de entrenamiento de memoria multifactorial para personas mayores

Los programas de entrenamiento de la memoria son una de las intervenciones cognitivas de carácter preventivo, dirigidas a personas mayores sin deterioro cognitivo. En la actualidad, hay una alta variedad de programas que difieren en su estructuración, orientación, organización y en aspectos educativos. Este artículo se centra en los programas de entrenamiento de memoria de tipo multifactorial. Una propuesta de intervención diseñada para trabajar procesos, estrategias y técnicas con el fin de estimular los distintos factores implicados en el funcionamiento de la memoria y los diferentes dominios cognitivos. El objetivo de este artículo es valorar los beneficios del aprendizaje cooperativo como metodología educativa aplicada a los programas de entrenamiento de la memoria. Esta metodología educativa que, en la actualidad, solo se implementa en los contextos educativos de tipo formal, puede favorecer un aprendizaje más inclusivo, duradero, significativo y la promoción del desarrollo de habilidades y técnicas relacionales. En resumen, contribuir a una mejora educativa de los programas de entrenamiento de la memoria. Las condiciones y los elementos diferenciales del aprendizaje cooperativo pueden ser características a aplicar en los programas de entrenamiento de la memoria, para favorecer el proceso de aprendizaje y adquirir habilidades que fomenten la cooperación y la ayuda mutua entre los participantes. Este artículo analiza estas características y propone su adaptación en los programas de entrenamiento de la memoria. En definitiva, el aprendizaje cooperativo es una buena metodología educativa para implementar en los programas de entrenamiento de la memoria.

Análisis comparativo de camas de combustibles forestales en un ecosistema de manglar

La evaluación del complejo de combustibles forestales en bosques y selvas constituye un avance de suma importancia para la predicción, análisis y control de incendios forestales. Con el objetivo de caracterizar las camas de combustibles forestales en los manglares del sistema de humedales El Castaño, en la Reserva de la Biosfera La Encrucijada, Chiapas, se aplicaron mediciones en campo y técnicas de análisis de datos relacionales. Con ello se calcularon algunos índices para la estructura y composición de las camas de combustibles forestales. Se cuantificó la biomasa de combustibles vivos empleando ecuaciones alométricas; los combustibles muertos se evaluaron aplicando la técnica de intersecciones planares. En este estudio se definieron camas de combustibles forestales en cuatro tipos de manglar, siendo Rhizophora mangle y Laguncularia racemosa las especies más importantes en términos de dominancia. Los combustibles de dosel en el manglar de R. mangle presentaron las cargas más altas de biomasa (266.67 t ha-1 + 39.58 t ha-1). Para los combustibles muertos, se observaron diferencias en la carga de 10 h, siendo mayor en el manglar de L. racemosa (17.21 t ha-1 + 1.11 t ha-1), lo cual representa mayor potencial para la propagación del fuego en periodos de sequía y alta temperatura. No se observaron diferencias en la carga total de combustibles muertos, por lo tanto, los cuatro tipos de manglar evaluados tienen la misma capacidad de acumular biomasa muerta. Los resultados obtenidos son fundamentales para definir el peligro de incendios.