Un enfoque de sustentabilidad utilizando lógica difusa y minería de datos

[ES] Sustainable development goals are now the agreed criteria to monitor states, and this work will demonstrate that numerical and graphical methods are valuable tools in assessing progress. Fuzzy Logic is a reliable procedure for transforming human qualitative knowledge into quantitative variables that can be used in the reasoning of the type “if, then” to obtain answers pertaining to sustainability assessment. Applications of machine learning techniques and artificial intelligence procedures span almost all fields of science. Here, for the first-time, unsupervised machine learning is applied to sustainability assessment, combining numerical approaches with graphical procedures to analyze global sustainability. CD HJ-Biplots to portray graphically the sustainability position of a large number of countries are a useful complement to mathematical models of sustainability. Graphical information could be useful to planners it shows directly how countries are grouped according to the most related sustainability indicators. Thus, planners can prioritize social, environmental, and economic policies and make the most effective decisions. One could graphically observe the dynamic evolution of sustainability worldwide over time with a graphical approach used to draw relevant conclusions. In an era of climate change, species extinction, poverty, and environmental migration, such observations could aid political decision-making regarding the future of our planet. A large number of countries remain in the areas of moderate or low sustainability. Fuzzy logic has proven to be an uncontested numerical method as it occurs with SAFE. An unsupervised learning method called Variational Autoencoder interplay Graphical Analysis (VEA&GA) has been proposed, to support sustainability performance with appropriate training data. The promising results show that this can be a sound alternative to assess sustainability, extrapolating its applications to other kinds of problems at different levels of analysis (continents, regions, cities, etc.) further corroborating the effectiveness of the unsupervised training methods

Empirical evidence on the relationship between research and teaching in academia

Research and teaching are the two most characteristic activities of the professional life of academics. Since the second half of the last century, a plurality of studies focused on the link between these activities, with often contrasting conclusions. While some studies are in line with the von-Humboldtian view of research and teaching as synergistic activities, other studies theorize their uncorrelation or even negative tension. This divergence of views probably stems from the fact that investigations are often based on heterogeneous, limited and difficult-to-generalise data, using mainly qualitative metrics. This paper deepens the study of the research-teaching link, through a survey of 251 academics from Politecnico di Torino, i.e., one of the major Italian technical universities. From a methodological point of view, research and teaching are both analysed from the dual perspective of workload and quality of results obtained, on the basis of data of various kinds, including bibliometric indicators, teaching satisfaction indexes, number of credits awarded to students, etc. Next, a correlation analysis investigates possible links between teaching and research, showing that they tend to be weak and/or statistically insignificant. For instance, the investigation excludes both (i) the existence of a negative link in terms of workload—contradicting considerations such as “Those who do more teaching have less time to do research and vice versa”—and (ii) the existence of a positive link in terms of the quality of the results obtained—contradicting considerations such as “Those who obtain high-quality results in research are likely to do the same in teaching and vice versa”. The results of this study are limited to the Italian context and do not necessarily have general validity. Nevertheless, they enhance previous findings in the scientific literature and may be useful for university administrators and those involved in the formulation of incentive strategies for academics

Bibliometric mapping of the trends and contributions of scientific publications to risk and crisis communication regarding South America

Risk and crisis communication (R&CC) are crucial elements of managing vulnerability to big threats. This paper aims to explore the trends and contributions of scientific publications to R&CC about South America. Through the examination of 330 papers listed in the Web of Science database, the current study conducted a thorough overview between 1998 (oldest study) and 2021 (cut-off date) of bibliometric networks (keyword co-occurrence map, co-authorship maps, and author co-citation map) and multivariate statistical models (principal component analysis, compositional linear model). We address main communication factors, links between communication factors and countries, main academic cooperation networks, determinants of publication trends, and most cited authors. 28 R&CC factors were mapped and their relative importance to various hazards was examined. Most of these factors were intended to strengthen the communication system and increase risk knowledge of vulnerable people. Chile, Colombia, and Ecuador were mostly focused on strengthening R&CC. Brazil and Argentina were best represented with health and exposure to pollutants communication. Publications on R&CC are determined by the level of wealth, tourist arrivals, and the number of people affected by disasters. The compositional analysis revealed that the behavior of publications determinants could have opposite tendencies depending on the threats’ multidimensionality. To the best of our knowledge, this is the first R&CC study on South America to use CoDA in a bibliometric analysisPostprint (published version

Determination of Grain Quality Parameters of Selected Bread Wheat Varieties and Pure Lines Derived from Landraces of Türkiye

Bread wheat landraces are considered among important gene sources for quality breeding programs. This study aims to compare thousand kernel weight crude protein ratio, dry gluten ratio, grain hardness and zeleny sedimentation results of 20 bread wheat lines selected from landraces to 5 registered cultivars in order to determine future candidates for quality breeding programs. Field experiments were conducted in the consequent 2012-2013 and 2013-2014 growing seasons in Çanakkale (Türkiye), according to randomized complete block design with three replications. ANOVA results indicated significant difference among genotypes, means were compared with Duncan’s test. Additionally, genotype × growing season interaction were significant for all parameters. Results of cluster and PCA Biplot analysis revealed a significant and positive relationship between crude protein ratio and dry gluten ratio while allowing for the selection of superior landrace pure lines. Our findings suggested that bread wheat varieties had higher TKW compared to landrace pure lines when pure lines had higher crude protein ratio, dry gluten ratio, sedimentation value with generally softer grains. Bread wheat landraces were concluded as being important variation sources

Análise de revistas de aquacultura : metanalise no período de 2007 a 2017

As revistas científicas são consideradas importantes meios de divulgação do conhecimento científico. É por meio de publicações que a comunidade científica tem acesso aos resultados de novas investigações científicas e publica os resultados do seu trabalho em prol do reconhecimento público e oficial, mas também, da validação e avaliação de matérias e áreas científicas de estudo. Publicar é muito importante e na área da aquacultura, tal não é exceção. No entanto, as revistas científicas disponíveis não estão todas ao mesmo nível, pelo que se torna necessário compreender quais são as revistas com maior importância acerca do tema. A informação sobre a qualidade e prestígio da publicação é fundamental para qualquer investigador, não só na pesquisa de artigos científico, como na seleção de qual a revista que lhes permitirá obter um número superior de visualizações aquando a publicação dos seus artigos científicos. Deste modo, o presente projeto tem como objetivo comparar as revistas científicas de aquacultura (Aquaculture, Aquaculture Research, Aquaculture Nutrition, Aquaculture International, North American Journal of Aquaculture, Israeli Journal of Aquaculture, Journal of the World Aquaculture Society) e avaliar a qualidade das mesmas, entre 2007 e 2017, através de indicadores bibliométricos. Para a realização deste estudo utilizou-se a informação indexada no sistema Journal of Citation Reports. Pelos resultados obtidos verificou-se que, a revista de aquacultura com um maior Journal Impact Factor é a Aquaculture. Adicionalmente, verificou-se que a revista de aquacultura com um maior Journal Impact Factor, Average Journal Impact Factor Percentile, Total Cites e Immediacy Index é a Aquaculture. Por fim, foi possível concluir que a Aquaculture é a revista em estudo que mais se destaca, porque apresenta um Journal Impact Factor ≥ à média e à mediana, um Journal Impact Factor ≥ 3º quartil e é a revista que apresenta uma relação mais próxima com os indicadores bibliométricos. Pode assim afirmar-se que a revista Aquaculture é a revista que mais se adapta às necessidades dos estudantes, docentes e investigadores, tanto na procura de artigos científicos, como na procura de um local onde publicar um artigo, uma vez que permite a obtenção de um número superior de visualizações, quando comparada com as outras revistas de aquacultura existentes no mercado. A maior limitação deste trabalho está relacionada com o facto de serem escassos, até ao momento, os estudos e a informação disponível sobre a comparação entre as diferentes revistas científicas de aquacultura

Statistical assesment of Webometric rating indicators of Ukrainian higher education institutions

The article is devoted to the statistical analysis of tools, used for the assessment of the international competitiveness of higher education institutions. The analysis has been made based on the Webometric ranking of universities. The aim of the study is to review in details of one of the most important and widely recognized global rankings - Ranking Web of World Universities, determine the place of Ukrainian institutions of higher education in it, identify perspectives for further development and appropriate adjustment of their Web policy.University rankings as a modern information tool for education management have been studied. An analysis of the role of rankings as a mechanism for assessment of universities as educational and research centers has been made. The specifics of Webometric indicators and their impact on the global ranking of the world's leading universities have been analyzed using the professional statistical data processing program STATGRAPHICS Centurion XV.I and the principal components analysis

Avances en la Economía Circular del Ecuador. Una estrategia para la sostenibilidad basada en Métodos BIPLOT

[ES]Las técnicas estadísticas convencionales se han utilizado en el área de la biotecnología vegetal para mejorar diferentes propiedades comerciales, como el rendimiento y la tolerancia a estreses bióticos y abióticos; sin embargo, los métodos de reducción, como PCA Biplot y GGE Biplot, se centran en múltiples variables y las presentan en menos variables complejas (Niazian & Niedbała, 2020). La ciencia de datos utiliza una serie de técnicas para analizar múltiples variables mientras proporciona información más precisa mediante el análisis de la estructura de los datos. Las técnicas de ciencia de datos más importantes son el modelado de aprendizaje automático, el procesamiento del lenguaje natural, el análisis de sentimientos, las redes neuronales o el análisis de aprendizaje profundo que se utilizan en análisis de regresión, clasificación, análisis de agrupamiento, reglas de asociación, análisis de series temporales, análisis de sentimientos, patrones de comportamiento, detección de anomalías, análisis factorial, análisis de registros y aprendizaje profundo utilizando la estructura interna de los datos. Estos métodos numéricos pueden aplicarse a masas considerables de datos; permiten a los científicos de datos establecer relaciones entre los datos y detectar los más significativos (Sarker, 2021). Esta investigación se basa en el uso del PCA-Biplot y del GGE Biplot, métodos estadísticos utilizados para la identificación de características específicas biológicas y químicas de diferentes productos alimenticios o que se pueden utilizar en el campo agrícola

Association among sunflower yield contributing traits in various ecological conditions

Sunflower (Helianthus annuus) is one of the most important oil crops in the world. The objectives of this study were to perceive the association between important oil yield related traits and to evaluate different types of sunflower genotypes on the basis of these selected traits. The experiment was carried out during three years at experimental field Rimski Šančevi. Testing included 30 different sunflower genotypes developed at Institute of Field and Vegetable Crops, Novi Sad, Serbia. The associations among the observed traits and genotypes evaluation were studied using genotype-by-trait biplot analysis. Associations between observed traits were very similar in all three years of testing. Biplot revealed strong positive association among oil yield, seed yield and head diameter, as indicated by the acute angles between their vectors. These vectors were perpendicular to vector of oil content, pointing to zero association. Oil yield was weakly positively associated with thousand seed weight, seed set efficiency and number of flowers. Total absence of association in all three years was recorded between number of flowers and thousand seed weight. Obtuse angle between vector of seed set efficiency and vectors of oil content and number of flowers pointed to negative association