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The development of university students’ skills to successfully produce scientific documents has been a recurring topic of study in academia. This paper analyzes the implementation of a training experience using a digital environment mediated by video content materials starring humanoid robots. The research aimed to scale complex thinking and its sub-competencies as a hinge to strengthen basic academic research skills. Students from Colombia, Ecuador, and Mexico committed to preparing a scientific document as part of their professional training participated. A pretest to know their initial level of perception, a posttest to evaluate if there was a change, and a scientific document the students delivered at the end of the training experience comprised the methodology to demonstrate the improvement of their skills. The results indicated students’ perceived improvement in the sub-competencies of systemic, creative, scientific, and innovative thinking; however, their perceptions did not align with that of the tutor who reviewed the delivered scientific product. The conclusion was that although the training experience helped strengthen the students’ skills, variables that are determinants for a student to develop the knowledge necessary to prepare scientific documents and their derived products remain to be analyzed. [ABSTRACT FROM AUTHOR]

Background/Objectives: Women of childbearing age not only reside in agricultural communities but also form an integral part of the agricultural labor force. Limited research investigates the impact of prenatal fungicide exposure on infant health, specifically ethylenebisdithiocarbamates and their toxic by-product, ethylenethiourea (ETU), particularly in occupational settings. This paper describes the background, aims, protocol, and baseline sample characteristics for the SEMILLA study, which investigates prenatal ETU exposure, neonatal thyroid function, infant growth, and neurobehavioral development in an agricultural region of Ecuador. Methods: This cohort study follows pregnant women and their infants up to 18 months of age, incorporating urinary biomarkers and survey data on ETU exposure and infant growth and neurodevelopmental measures. Data collection includes detailed questionnaires, scales, and physical examinations on maternal and infant health and development, as well as environmental factors. Descriptive statistics on key characteristics of the study population at baseline are presented. Results: SEMILLA enrolled 409 participants (72% enrollment rate): 111 agricultural workers (mostly floricultural), 149 non-agricultural workers, and 149 non-workers. Baseline characteristics show comparability between work sector groups, with some economic differences. Conclusions: SEMILLA will provide key evidence on prenatal fungicide exposure and infant development and encompass comprehensive multistage data collection procedures in pregnancy and infancy, focusing on structural and social determinants of health as well as individual-level chemical exposures. The community-based approach has proven essential, even amid challenges like the COVID-19 pandemic. The medium-term objective is to inform sustainable interventions promoting maternal and child health, with a long-term goal to reduce community exposures and improve worker health policies, particularly for women and pregnant workers. [ABSTRACT FROM AUTHOR]

Given that Ecuadorians are one of the largest groups of Hispanics living in New York, they have become a tight community that they now call little Ecuador. Although Ecuadorians living in the diaspora in NYC come from different parts of the country (mostly from the Andean region), they share the same cultural practices they performed in Ecuador that give them the sense of being in their country without bearing the instability and turmoil their country experiences. This shows how the group has fostered a sense of a multifaceted, multidimensional simultaneity between the host country and the motherland. The goal of this paper is to analyze the strategies Ecuadorian migrants use to validate their language and cultural practices to negotiate their identity as a group. Data for this paper come from ethnographic observations, semi-spontaneous conversations, oral interviews with members of the group, along with pictures taken while walking the community and participating in some of their events. Our study reveals that participants hold varying perceptions regarding their linguistic and cultural practices. However, it is noteworthy that they recognize these practices as a manifestation of Ecuadorianness, signifying a sense of solidarity among community members. [ABSTRACT FROM AUTHOR]

Copyright of Journal of Natural Fibers is the property of Taylor & Francis Ltd and its content may not be copied or emailed to multiple sites or posted to a listserv without the copyright holder's express written permission. However, users may print, download, or email articles for individual use. This abstract may be abridged. No warranty is given about the accuracy of the copy. Users should refer to the original published version of the material for the full abstract. (Copyright applies to all Abstracts.)

The paper presents a comprehensive analysis of child labor in Ecuador, employing advanced statistical tools like logistic regression, neutrosophic Likert scales, and similarity measures to deepen the understanding of this social issue. The integration of these methodologies allows for a nuanced assessment of the various socio-economic factors contributing to child labor. By capturing the uncertainty in human responses, the research highlights the complex interplay between poverty, household income, education levels, and labor types on the incidence of child labor. Key findings suggest that rural location, the age of the child, and the informal nature of the head of the household's work are the most significant predictors of child labor. Notably, parental education appears to have a less direct influence. Despite various efforts, including government monetary transfers through programs like the BDH, child labor persists, indicating the need for more targeted interventions.The paper proposes future research to extend these models to a broader demographic and geographic data set, emphasizing the potential for these methods to be applied to a variety of social issues. The development of computational tools to automate neutrosophic analysis could greatly benefit large-scale studies, potentially aiding policymakers in designing more effective interventions for vulnerable populations. [ABSTRACT FROM AUTHOR]

This paper presents an investigation of the factors influencing the decision to purchase processed food based on traffic-light labeling (TLL). To achieve this, we use data from the official National Survey of Health and Nutrition, which gathered information on 26,532 individuals aged between 19 and 59 between 2011 and 2013. Employing a probit regression to assess the likelihood of buying food based on TLL, we identify a positive association between income level and the probability of buying food based on TLL; indeed, our model suggests that a 1% increase in monthly income increases by 0.008 the probability of buying food based on TLL. We infer that people with higher levels of income are more aware of the benefits of TLL and healthy food habits. Our results also suggest that the probability of basing purchasing decisions on TLL is higher for overweight people compared to those of normal weight, that is, overweight people buy their processed food paying more attention to TLL compared to normal weight people. [ABSTRACT FROM AUTHOR]

In Ecuador, the ideology of mestizaje has resulted in the denial or minimization of racism against Indigenous and Afro-descendant peoples. This denial coexists, however, with the consciousness of racialized difference. If racism is most of the time minimized and naturalized, in this paper I propose that we need to consider the circumstances that may generate awareness of racism and a public speaking up against it. Comparing two cases involving Afro-descendant and Indigenous people in conflict with external actors, I analyze the role that different forms of violence play in the public articulation of racism. I contend that violent physical conflict may result in breaking the silence on state racism, while diffuse or slow forms of violence may result in the backgrounding of explicit denunciations of racism. [ABSTRACT FROM AUTHOR]

This study harnesses advanced time series models ARIMA, ETS, and SARIMA, coupled with neutrosophic statistics, to forecast unemployment trends through interval-based predictions. Transforming these predictions into neutrosophic forms enables the quantification of indeterminacy, providing a nuanced interpretation of potential economic scenarios. The integration of neutrosophic statistics enhances the interpretative power and accuracy of these models, offering a deeper insight into the inherent uncertainties of economic forecasting. The approach reveals not only the variabilities and potential outcomes within the unemployment rates but also strengthens the decision-making processes by presenting data that encompass both precision and indeterminacy. This paper underscores the importance of advanced statistical methods in economic predictions, suggesting further exploration into other economic metrics and advocating for a broader application of neutrosophic statistics to enhance the reliability of economic forecasting across diverse contexts. [ABSTRACT FROM AUTHOR]

Nowadays, climate change is not the only threat facing our planet. There are also other types of pollution such as waste that poisons soils and water and kills plants, harming humans and animals. Sustainability represents a key issue for the actual Global Citizen. For this reason, our article is dedicated to offering biofriendly solutions to decrease wastes, give them a positive meaning, such as a substrate for an edible oyster fungus with nutritive and biological properties usefully for humans. Three types of wastes such as coconut coir, pine sawdust, and paper waste—representative symbols of pollution in Ecuador—have been tested as suitable growing substrate for the edible fungi Pleurotus ostreatus (Jacq. ex Fr.) P. Kumm by analyzing parameters such as Biological Efficiency, Mushroom Yield, and Productive Rate. The influence of these "waste" substrates on the nutritive (protein content), biological characteristic (antioxidant activity), and the content of human-health-sustaining compounds (phenols, flavonoids) were also evaluated using the Kjeldahal, DPPH, ABTS, FRAP, and Folin–Ciocalteu methods. The results indicate that all the waste products represent desirable substrates for growing the edible fungi, with more focus on coconut coir waste (one of the principal pollution problems in Ecuador), but that also achieved the increase in the fungi's desirable characteristics. Coconut coir waste could be an environmentally friendly solution that also offers for humans additional nutritive and healthy benefits. [ABSTRACT FROM AUTHOR]

The El Niño phenomenon – and its associated phenomena El Niño Southern Oscillation (ENSO) and La Niña – have become probably the most well-known forms of natural climatic variability. El Niño forecasts underpin regional Climate Outlook Forums in many parts of the world. The declaration of El Niño conditions can unlock development aid money and El Niño events commonly receive widespread media coverage. Yet 'El Niño' has not always meant what it does today. The name was originally applied to an annually-occurring ocean current that affected northern Peru and Ecuador, so called because it arrived at Christmas (the Christ Child). The transition in meaning to a complex global phenomenon was related as much to commercial and geopolitical priorities as to the oceanic and atmospheric observations that underpin theories of El Niño dynamics. In this paper, I argue that scientific conceptualisations of El Niño are an example of path dependency. Badging ocean-atmosphere variability as 'El Niño' is unnecessary either for the advancement of science or effective disaster risk reduction; in fact, current definitions are confusing and can create problems in preparing for El Niño-related hazards, as occurred with the 2017 'coastal' El Niño in Peru. This paper outlines the historical processes that led to the current conceptualisations of El Niño and suggests an alternative way of understanding ocean-atmosphere dynamics in the Pacific and beyond. It then considers the implications of this path-dependency on El Niño's ontological politics; that is, who gets to define El Niño, and to what end. [ABSTRACT FROM AUTHOR]

Copyright of Revista Colombiana de Entomología is the property of Universidad del Valle and its content may not be copied or emailed to multiple sites or posted to a listserv without the copyright holder's express written permission. However, users may print, download, or email articles for individual use. This abstract may be abridged. No warranty is given about the accuracy of the copy. Users should refer to the original published version of the material for the full abstract. (Copyright applies to all Abstracts.)

In this paper, we introduce a notion of mergeable weighted majority games with the aim of providing the first characterization of the Colomer–Martínez power index (Colomer and Martínez in J Theor Polit 7(1):41–63, 1995). Furthermore, we define and characterize a new power index for the family of weighted majority games that combines ideas of the Public Good (Holler in Polit Stud 30(2):262–271, 1982) and Colomer–Martínez power indices. Finally, we analyze the National Assembly of Ecuador using these and some other well-known power indices. [ABSTRACT FROM AUTHOR]

Background: Acne is a common disease that is associated with scarring and substantial psychosocial burden. The Global Burden of Skin Disease reported that the burden from acne as measured by disability-adjusted life years (DALYs) from 188 countries and specifically that it is greatest in Western Europe, high-income North America and Southern Latin America. This paper aimed to identify risk factors for acne scarring specific to the Ecuadorian population in order to adapt the 4-ASRAT tool accordingly. Methods: This was an observational prospective study. Participants were recruited to complete a survey that was developed based on the potential risk factors for acne scarring and had facial photographs taken. To determine risk factors and their respective weighting, a logistic regression was performed. Results: The study included 404 participants. Results from univariate analyses indicated that being male (OR = 2.76 95%CI [1.72; 4.43]), having severe or very severe acne scarring (OR = 4.28 95%CI [1.24; 14.79]), acne duration over 1 year (OR = 1.71 95%CI [1.12; 2.60]), oily skin (OR = 2.02 95%CI [1.27; 3.22]) and the presence of acne on the neck (OR = 2.26 95%CI [1.30; 3.92]), were all significantly associated with the presence of acne scarring. Male sex (2.56 95%CI [1.58;4.17]), oily skin (1.96 95%CI [1.20;3.20]) and severe or very severe acne (3.75 95%CI [1.05;13.37]) remained significant risk factors for acne scarring in the multivariate analysis. Conclusion: By identifying acne scarring risk factors and applying the tool in everyday dermatology visits, we can reduce the physical and psychological burden that acne scarring causes in the adolescent and adult populations. Further research should be conducted to reassess potential risk factors and complete the adaptation of the tool for the Ecuadorian population, with a larger and more representative study population. [ABSTRACT FROM AUTHOR]

In many countries, the advancement of hydropower resources has been hindered by economic factors and insufficient data on topography, streamflow, environmental sensitivity, power grid, and, most importantly, the location of potential hydropower sites. This challenge is particularly pronounced in certain African and Latin American river systems. Developing web-based maps of hydropower resources based on geographic information systems and advanced mapping technologies can facilitate the initial assessment of hydropower sites. This is especially relevant for developing sites in remote areas and data-scarce regions. The available geospatial datasets, remote sensing technologies, and advanced GIS modelling techniques can be used to identify potential hydropower sites and assess their preliminary characteristics. This paper reviews web-based hydropower atlases in African and Latin American countries. Their main features are represented and compared with the recently launched HYPOSO map viewer covering two African countries (Cameroon and Uganda) and three Latin American countries (Bolivia, Colombia, and Ecuador). This hydropower atlas consists of 20 spatial layers. Its particular focus is to present a geospatial dataset of new hydropower sites with concise information for potential investors. These so-called virtual hydropower atlases can be only one type of discovery at the early project stage, automatically identifying sites worthy of further investigation. A formal validation of the web-based atlases, including the HYPOSO hydropower atlas, is briefly considered. Creating open-access hydropower map viewers is anticipated to significantly enhance the hydropower development database in these nations, offering valuable insights for small and medium-scale projects. [ABSTRACT FROM AUTHOR]

This paper describes and analyzes phonological processes pertinent to the glottal stop in A'ingae (or Cofán, iso 639-3: con). The operations which the glottal stops undergo and trigger reveal an interaction of two morphophonological parameters: stratum and stress dominance. First, verbal suffixes are organized in two morphophonological domains, or strata. Within the inner domain, glottal stops affect stress placement, which I analyze as an interaction with foot structure. In the outer domain, glottal stops do not have any effects on stress. Second, some verbal suffixes delete stress (i. e. they are dominant). Dominance is unpredictable and independent of the suffix's morphophonological domain, but dominance and the phonological domain interact in a non-trivial way: only inner dominant suffixes delete glottalization. To account for the A'ingae data, I adopt Cophonologies by Phase (Sande et al. 2020), which (i) models phonological stratification while (ii) allowing for morpheme-specific phonological idiosyncrasies, which (iii) interact with the phonological grammar of their stratum. Stress deletion triggered by the dominant suffixes is modeled with AntiFaithfulness (Alderete 1999, 2001). Antifaithfulness to a metrical foot entails antifaithfulness to its features (glottalization). This captures the fact that only the inner dominant suffixes delete glottal stops. [ABSTRACT FROM AUTHOR]

Copyright of Revista Latinoamericana de Ciencias Sociales, Niñez y Juventud is the property of Centro de Estudiso Avanzados en Ninez y Juventud alaianza Cinde, Universidad de Manizales and its content may not be copied or emailed to multiple sites or posted to a listserv without the copyright holder's express written permission. However, users may print, download, or email articles for individual use. This abstract may be abridged. No warranty is given about the accuracy of the copy. Users should refer to the original published version of the material for the full abstract. (Copyright applies to all Abstracts.)

Copyright of Mercados y Negocios is the property of Universidad de Guadalajara, Centro Universitario de Ciencias Economico Administrativas and its content may not be copied or emailed to multiple sites or posted to a listserv without the copyright holder's express written permission. However, users may print, download, or email articles for individual use. This abstract may be abridged. No warranty is given about the accuracy of the copy. Users should refer to the original published version of the material for the full abstract. (Copyright applies to all Abstracts.)

Copyright of Revista Ciencias de la Salud is the property of Colegio Mayor de Nuestra Senora del Rosario and its content may not be copied or emailed to multiple sites or posted to a listserv without the copyright holder's express written permission. However, users may print, download, or email articles for individual use. This abstract may be abridged. No warranty is given about the accuracy of the copy. Users should refer to the original published version of the material for the full abstract. (Copyright applies to all Abstracts.)

Unemployment, a significant economic and social challenge, triggers repercussions that affect individual workers and companies, generating a national economic impact. Forecasting the unemployment rate becomes essential for policymakers, allowing them to make short-term estimates, assess economic health, and make informed monetary policy decisions. This paper proposes the innovative GA-LSTM method, which fuses an LSTM neural network with a genetic algorithm to address challenges in unemployment prediction. Effective parameter determination in recurrent neural networks is crucial and a well-known challenge. The research uses the LSTM neural network to overcome complexities and nonlinearities in unemployment predictions, complementing it with a genetic algorithm to optimize the parameters. The central objective is to evaluate recurrent neural network models by comparing them with GA-LSTM to identify the most appropriate model for predicting unemployment in Ecuador using monthly data collected by various organizations. The results demonstrate that the hybrid GA-LSTM model outperforms traditional approaches, such as BiLSTM and GRU, on various performance metrics. This finding suggests that the combination of the predictive power of LSTM with the optimization capacity of the genetic algorithm offers a robust and effective solution to address the complexity of predicting unemployment in Ecuador. [ABSTRACT FROM AUTHOR]

This paper focuses on the emissions of the three most sold categories of light vehicles: sedans, SUVs, and pickups. The research is carried out through an innovative methodology based on GPS and machine learning in real driving conditions. For this purpose, driving data from the three best-selling vehicles in Ecuador are acquired using a data logger with GPS included, and emissions are measured using a PEMS in six RDE tests with two standardized routes for each vehicle. The data obtained on Route 1 are used to estimate the gears used during driving using the K-means algorithm and classification trees. Then, the relative importance of driving variables is estimated using random forest techniques, followed by the training of ANNs to estimate CO2, CO, NOX, and HC. The data generated on Route 2 are used to validate the obtained ANNs. These models are fed with a dataset generated from 324, 300, and 316 km of random driving for each type of vehicle. The results of the model were compared with the IVE model and an OBD-based model, showing similar results without the need to mount the PEMS on the vehicles for long test drives. The generated model is robust to different traffic conditions as a result of its training and validation using a large amount of data obtained under completely random driving conditions. [ABSTRACT FROM AUTHOR]

Copyright of Estudios sobre el Mensaje Periodistico is the property of Universidad Complutense de Madrid and its content may not be copied or emailed to multiple sites or posted to a listserv without the copyright holder's express written permission. However, users may print, download, or email articles for individual use. This abstract may be abridged. No warranty is given about the accuracy of the copy. Users should refer to the original published version of the material for the full abstract. (Copyright applies to all Abstracts.)

Copyright of Tapuya: Latin American Science, Technology & Society is the property of Taylor & Francis Ltd and its content may not be copied or emailed to multiple sites or posted to a listserv without the copyright holder's express written permission. However, users may print, download, or email articles for individual use. This abstract may be abridged. No warranty is given about the accuracy of the copy. Users should refer to the original published version of the material for the full abstract. (Copyright applies to all Abstracts.)

The present paper aims to describe the process of creating CHARG—Corpus de Habla Radiofónica de Guayaquil (the Guayaquil Radiophonic Speech Corpus). It is the first systematized spoken corpus for this rather under-researched variety of Spanish. Guayaquil is the most populated city of Ecuador, while its capital city is Quito. Therefore, Ecuador is a rare case of a Spanish-speaking country with two major urban centers that belong to two separate dialectal zones, offering a very peculiar sociolinguistic context. CHARG is a corpus composed of Guayaquil radio programs. Its structure is organized by non-linguistic criteria (program type) in order to ensure a representative and balanced sample. The paper describes the design of the corpus (defining the study population, sample and stratification) and its construction (recording procedure, speakers and speech style coding, transcription and annotation). As a result, CHARG consists of 24 h of transcriptions and annotations of recordings from 142 speakers. The paper's potential use is twofold: since it presents a step-by-step procedure of corpus construction that can be replicated, the readers might be interested in both the procedure and the corpus itself as a research material. [ABSTRACT FROM AUTHOR]

The Tropical Andes, one of the world's most biodiverse regions, is vital for ecological research and conservation. However, while researchers in Bolivia, Ecuador, and Peru contribute significantly to scientific knowledge, their publication rates in academic journals have historically lagged behind neighboring nations. A multifaceted strategy was employed to understand and address the publication divide in the Tropical Andes region. This approach focused on regional researchers and consisted of a three-day workshop to improve scientific writing skills, offer publication insights, and equip researchers with tools to overcome obstacles. A series of surveys were also conducted to explore the challenges faced by local researchers and their proposed solutions, covering topics such as participant demographics, factors contributing to lower publication rates, personal barriers, proposed strategies for improving publications, specific topics of interest, participant satisfaction, most valuable workshop topics, and future recommendations. The workshop had an overwhelming response, with over 500 interested participants registering in just a few days, mostly experienced professionals, highlighting the need for such initiatives in the region. About two-thirds had ready-to-publish materials, highlighting the potential impact of targeted interventions on unlocking untapped knowledge. The surveys revealed the challenges contributing to the publication divide, including insufficient training, cultural emphasis on economic development, language barriers, limited resource access, lack of institutional support, high publishing costs, and time and financial constraints. The most common personal barriers were insufficient knowledge and experience in the publication process, lack of self-confidence, and fears of rejection. Proposed solutions include conducting training workshops, fostering collaborative networks, improving resource accessibility, and an institutional and cultural shift that encourages publishing. Addressing challenges faced by experienced professionals in the Tropical Andes by understanding individual needs, fostering support, and demystifying the publication process offers a promising path to closing the publication divide and unlocking the region's valuable scientific contributions. [ABSTRACT FROM AUTHOR]

Copyright of Actas de Diseño is the property of Facultad de Diseno y Comunicacion, Fundacion Universidad de Palermo and its content may not be copied or emailed to multiple sites or posted to a listserv without the copyright holder's express written permission. However, users may print, download, or email articles for individual use. This abstract may be abridged. No warranty is given about the accuracy of the copy. Users should refer to the original published version of the material for the full abstract. (Copyright applies to all Abstracts.)

Copyright of Journal of Hospitality & Tourism Technology is the property of Emerald Publishing Limited and its content may not be copied or emailed to multiple sites or posted to a listserv without the copyright holder's express written permission. However, users may print, download, or email articles for individual use. This abstract may be abridged. No warranty is given about the accuracy of the copy. Users should refer to the original published version of the material for the full abstract. (Copyright applies to all Abstracts.)

Faced with the accelerated growth of cities and the consequent increase in the number of motor vehicles, urban noise levels caused by vehicular traffic have increased considerably. To assess noise levels in cities and implement noise control measures or identify the problem's location in different urban areas, it is necessary to obtain the noise levels to which people are exposed. Noise maps are tools that have applications as they are cartographic representations of the noise level distribution in an area and over a period of time. This article aims to identify, select, evaluate, and synthesize information, through a systematic literature review, on using different road noise prediction models, in sound mapping computer programs in countries that do not have a standard noise prediction model. The analysis period was from 2018 to 2022. From a previous analysis of articles, the choice of topic was based on identifying various models for predicting road noise in countries without a standardized sound mapping model. The papers compiled by a systematic literature review showed that studies concentrated in China, Brazil, and Ecuador, the most used traffic noise prediction models, were the RLS-90 and the NMPB, and the most used mapping programs were SoundPLAN and ArcGIS with a grid size of 10 × 10 m. Most measurements were carried out during a 15-min period at a height from the ground level of 1.5 m. In addition, it was observed that research on noise maps in countries that do not have a local model has been increasing over time. [ABSTRACT FROM AUTHOR]

This paper applies Fuzzy Cognitive Maps (FCMs) to understand the diverse behavior of municipal governments in Ecuador to find common elements that influence the well-being of citizens in the short and long term. Information gathering was conducted in two stages: in the first one, a group of 16 national experts was consulted to develop the initial FCM; in the second stage, local experts from 220 municipalities were interviewed to collect information on the general validity of initial FCMs and specific values given to concepts and relationships in their municipalities. Results show the importance of certain concepts for long-term municipal performance, such as the need for a competitive entrepreneurial sector, improving human resources in the municipality, and, particularly, having a competent mayor with leadership skills and a forward-looking vision that enables the development of municipal projects required to reach an efficient and equitable coverage of goods and services throughout the city. Through the application of genetic algorithms, the FCM was calibrated to ascertain the long-term dynamics of municipal development and the optimal values of the concepts that would optimize the attainment of the set objectives. The derived outcomes suggest the desirability of the maintenance of, in principle, unwanted structures like financial transfers from the central government and the need to exploit natural resources to attain urban development. [ABSTRACT FROM AUTHOR]

The impacts on food prices of temperature, the oil price, the exchange rate and wages in the agricultural industry were examined via a structural vector autoregression model and panel Granger causality test, using monthly data between January 2003 and December 2020 for Latin American countries. The paper concerns how much the determinants affect food prices. Empirical findings show that the oil price and temperature can be significant factors for reducing food inflation. According to the result of variance decomposition, in general, a considerable part of food inflation was explained by the exchange rate, but its effect did not show any significant change in the long term. The impacts of the oil price and temperature were limited in the early months, but they created larger changes over time. Impulse response function and the Granger causality test also indicated that exchange rate was a crucial dynamic in explaining food inflation in all countries except Ecuador. This country successfully mitigated the negative effect of the exchange rate, but the oil price and temperature had an impact on food inflation. All results indicate that both monetary and fiscal policies are essential to control food prices. These countries can accomplish this by conventional policies or by radical institutional changes. Nevertheless, the oil price and temperature are external dynamics, and crucial in creating alternative policies to control food inflation. [ABSTRACT FROM AUTHOR]

The COVID-19 pandemic's early stages severely impacted global fisheries, particularly areas heavily reliant on imported food and tourism like the Galapagos Islands, Ecuador. To contain the spread of the virus, a full lockdown was implemented. However, the collapse of the tourism industry precipitated the worst economic crisis in the history of this multiple-use marine protected area. This paper examines the impact of the pandemic's early stages on consumption patterns and seafood security in the Galapagos from consumers' perspective, drawing on online surveys conducted during the lockdown. Our findings revealed pre-existing seafood insecurity across the archipelago, further exacerbated by the pandemic on the least-populated island. Nevertheless, the seafood system displayed moderated resilience to the pandemic's socioeconomic disruptions. A variety of adaptive responses were adopted by Galapagos residents to cope with the lockdown. Consumers modified their seafood consumption habits, while fishers adapted their harvesting and marketing strategies. Such adaptive responses were shaped by the unique socioeconomic characteristics of each inhabited island and the ability of seafood suppliers to shift from a tourism- and export-oriented to a resident- and domestic-oriented market. This transition has created novel opportunities to foster a systemic transformation of the Galapagos seafood system to enhance its resilience against future crises caused by new pandemics, climate change, or other natural and anthropogenic drivers of change. [ABSTRACT FROM AUTHOR]

This study examined the impact of green advertising and eco-labels on the attitudes and environmental awareness of millennials purchasing eco-friendly products in shopping centers across Ecuador. The research utilized a quantitative, correlational, cross-sectional methodology with 430 millennials participating. A 20-item survey was administered face-to-face at shopping centers in Quito and Guayaquil, Ecuador. The validity of the research model was established through Confirmatory Factor Analysis (CFA) and Structural Equation Modeling (SEM), employing SPSS 20 and AMOS 24 for statistical evaluations. Findings reveal that green advertising significantly shapes environmental attitudes (β: 0.245) and awareness (β: 0.110), as well as directly influences the purchasing behavior (β: 0.154) towards green products. While eco-labels do not exert a direct effect on purchasing behavior (β: 0.128), they significantly inform attitudes (β: 0.406) and ecological awareness (β: 0.277) of millennials who purchase organic products. This paper is among the pioneering research to delineate the correlation between green advertising elements and the purchasing patterns of green products among millennials in a developing nation. It concludes that marketing strategies centered on green advertising and eco-labels do affect millennials' attitudes and environmental consciousness, but only advertising has a direct impact on purchasing behaviors, contrary to eco-labels. The research bears social significance as it affirms that millennials are attentive to environmental issues and are actively engaged in promoting sustainability. [ABSTRACT FROM AUTHOR]

Copyright of Conjuntura Austral is the property of Conjuntura Austral and its content may not be copied or emailed to multiple sites or posted to a listserv without the copyright holder's express written permission. However, users may print, download, or email articles for individual use. This abstract may be abridged. No warranty is given about the accuracy of the copy. Users should refer to the original published version of the material for the full abstract. (Copyright applies to all Abstracts.)

Historically, Latin America has been a fertile ground for the emergence of populism. Scholars have identified several waves of populist governments flourishing in the region during the last century. The third wave began in the 2000s when leftist leaders came to power in some Latin American countries, a phenomenon called "the Pink Tide". Two of the most notable examples of populist governments in this wave were Evo Morales in Bolivia (2006-2019) and Rafael Correa in Ecuador (2007-2017). Both leaders promoted an anti-elitist rhetoric highlighting a confrontational divide between domestic elites (as perpetrators of injustices) and the people (as victims). This rhetoric also involved external actors. The relationship with the great powers was permeated by the populist discourse based on the logic of "them vs. us". In this context, the paper analyses the rhetoric of Evo Morales and Rafael Correa concerning the role of the European Union in their countries. Primary sources (speeches, press releases and official documents) are examined to understand the image built around the EU and to grasp how populist rhetoric portrayed the EU's role in areas such as trade and migration. The result is a complex assessment of the ideas about the EU disseminated by these leaders, examining how Morales's and Correa's rhetoric evolved over the years and identifying similarities and differences between their approaches. [ABSTRACT FROM AUTHOR]

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Copyright of Cuestiones Políticas is the property of Revista Cuestiones Politicas and its content may not be copied or emailed to multiple sites or posted to a listserv without the copyright holder's express written permission. However, users may print, download, or email articles for individual use. This abstract may be abridged. No warranty is given about the accuracy of the copy. Users should refer to the original published version of the material for the full abstract. (Copyright applies to all Abstracts.)

Copyright of Cooperativismo y Desarrollo (COODES) is the property of Universidad de Pinar del Rio and its content may not be copied or emailed to multiple sites or posted to a listserv without the copyright holder's express written permission. However, users may print, download, or email articles for individual use. This abstract may be abridged. No warranty is given about the accuracy of the copy. Users should refer to the original published version of the material for the full abstract. (Copyright applies to all Abstracts.)

This paper addresses the importance of understanding the personality traits of teachers and their impact on the educational process. It mentions the existence of stable personality traits and variable personality states that vary over time. It also refers to the five-factor personality model (FFM), which includes the domains of Extraversion, Affability, Conscientiousness, Neuroticism, and Openness to Experience. The study is carried out in the context of Higher Education Institutions (HEIs) in Ecuador, where professors perform functions related to teaching, research, extension, and academic management. It is noted that emotional contagion between teachers and students can be relevant in this environment. The paper presents a qualitative analysis based on a Neutrosophic Cognitive Map (NCM) of nine personality traits: Empathy, Openness to Experience, Introversion, Emotional Stability, Kindness and Respect, Flexibility, Excessive Authoritarianism, Neuroticism and Egocentrism. The causal relationships between these traits are highlighted, emphasizing the importance of empathy as a central factor. It discusses how traits such as empathy, kindness, patience, and emotional stability contribute to a positive and productive learning environment. Furthermore, it is noted that the modification of negative traits, such as excessive authoritarianism and egocentrism, can improve the professional development of teachers and benefit students in the long term. Finally, this study is compared with previous research, and it highlights that the results may vary. For example, a study that did not find significant relationships between personality traits and teaching performance is mentioned, while this study suggests that excessive authoritarianism and egocentrism can affect communication with students and the quality of training. [ABSTRACT FROM AUTHOR]

Protected areas are considered the backbone of biodiversity conservation, but their management often fails because local people are not involved, and their needs are ignored. A socioecological approach has been demonstrated to be effective in improving the relationship between conservation efforts and human wellbeing through a better understanding of the interdependence between nature and people. This relationship can be observed through the case of the Kichwa indigenous communities within Yasuní National Park, Ecuador, as they have retained a very close relationship with forest ecosystems. Using key respondent interviews, along with semi-structured interviews and focus groups, this research describes the complex relationship between changing forest ecosystems and human wellbeing. The results highlight food, health, and cultural identity as the most important benefits that communities obtain from forests. The research also sheds light on how people in the investigated area perceive the dynamics of socioecological systems, indicating petroleum, infrastructure development, and small-scale agriculture as the most important direct drivers and land governance and the presence of colonists as the most important indirect drivers of changes to forest ecosystems. This paper demonstrates the importance of monitoring socioecological systems and adapting management to balance complex economic, social, and ecological challenges. [ABSTRACT FROM AUTHOR]

Traditional knowledge, much like scientific knowledge, is the product of observation and reflection from the relationship between people and their habitat. This paper documents the first inventory of native names and ethnozoological information of snakes in the language of the Shiwiar-Chicham (SC) and Kichwa (KW), for those territories located in the Pastaza and Napo basins, Amazonia of Ecuador. Additionally, we analyzed the diversity of native names with the Shannon-Wiener index (D). A total of 50 snake species are inventoried, where 36 species (80%) and 49 (100%) snakes possessed a name in the SC and KW languages, respectively. The KW language (D = 4.02) presented a greater diversity of names assigned to snakes, in comparison to the SC language (D = 3.04). The great cultural and linguistic diversity demonstrates that there is still a need to document and safeguard the ethnozoological knowledge related to snakes in the Amazon. [ABSTRACT FROM AUTHOR]

Copyright of Contratexto is the property of Contratexto and its content may not be copied or emailed to multiple sites or posted to a listserv without the copyright holder's express written permission. However, users may print, download, or email articles for individual use. This abstract may be abridged. No warranty is given about the accuracy of the copy. Users should refer to the original published version of the material for the full abstract. (Copyright applies to all Abstracts.)

The idea that not all types of consumption benefit well-being is not new. However, its recent formalization within the framework of the behavioral and social sciences has led to a rapid expansion of knowledge about the goods that are most effective in increasing happiness. Most evidence has been obtained from the developed world and with a focus on broad categories that ignore meaningful heterogeneities. This paper contributes to this domain by conducting a detailed analysis of the relationship that happiness has with a variety of market goods and with aggregate measures of purchasing power. We do this using the data of Ecuador, a country characterized by a relational-oriented culture, high collectivist values, structural inequalities, and weak political institutions. Throughout the paper, we tested various hypotheses related to this particular context. The results show that consumption is superior to income as a predictor of happiness. Higher levels of happiness can also be seen among people who spend more on relational and time-saving goods; less on health and alcohol; and own a good quality of dwelling. As for basic goods, some seem beneficial in the whole sample analysis, but they exhibit a stronger relationship with happiness among the poor. Additionally, we find that, in most cases, public goods as well as paying taxes correlate negatively with happiness. Moreover, we identify some heterogeneities that shed light on the behavior of the poor and that reflect unequal distribution of household tasks. [ABSTRACT FROM AUTHOR]

Five thousand six hundred ten scientific articles related to Learning Analytics (LA) are stored in Scopus and Web of Science from 2014 until 2019, as evidence of the importance and increasing interest in this new line of research. LA is the measurement, collection, analysis and reporting of data about learners and their contexts, for the purposes of understanding and optimizing learning and the environments in which it occurs. LA is widely used in universities; Ecuador has three hundred forty-five Higher Educational Institutions. One of the reasons why research in the area of LA does not increase is the lack of a baseline (cutting edge information that provides starting points for researching and publishing). This research discovers and analyses scientific documents in LA and answers the central question: What is the baseline of scientific documents on LA in Ecuador? The methodology used was a Systematic Review (SR) to answer eight research questions about scientific articles and theses in LA by Ecuadorian authors. The study presented in this paper was carried out from 2014 to June 2019; ninety-nine scientific documents about LA were found in Scopus, WOS, IEEE, RRAAE and Senescyt. Sixty-one scientific documents were downloaded, arranged and analyzed using Statistical Implicative Analysis (SIA) after removing duplicates, applying inclusion, exclusion and quality criteria. SIA was proposed by Regis Gras and discovers rules between variables and represents them through dendrograms. SR together with SIA was used for the first time in this paper. The built baseline will allow learning more about LA in Ecuador and increasing research and publications. [ABSTRACT FROM AUTHOR]

A'ingae (or Cofán, ISO 639‐3: con) is an indigenous language isolate spoken in northeast Ecuador and southern Colombia. This paper presents the first comprehensive overview of the A'ingae phonology, including descriptions of (i) the language's phonemic inventory, (ii) phonotactics and a number of related phonological rules, (iii) nasality and nasal spreading, as well as (iv) stress, glottalisation, their morphophonology, and aspects of clause‐level prosody. [ABSTRACT FROM AUTHOR]

Ecuador is a country with several climate zones. However, their behaviour is similar throughout the year, with no peaks of extreme temperatures in the various seasons. This paper is a first approach to study the adaptive comfort behaviour in several areas and populations of the country. Considering the ASHRAE 55-2020 model, energy simulation programmes are applied not just to the current climate scenario but also to the climate change scenarios of 2050 and 2100. The results of locations are analysed and compared to determine their performance. Thanks to their climate characteristics, adaptive comfort models could be applied as a passive strategy, using natural ventilation for building indoor comfort improvement, particularly social dwellings. According to previous studies, some prototypes have not considered the climate determinants in each region. Given the geographic situation of the study areas, the adaptive comfort model could be applied in all cases. Percentages of application of natural ventilation and heating and cooling degree hours have similar behaviours according to the climatic region, with a variation greater than 30% among them. [ABSTRACT FROM AUTHOR]

INTRODUCTION Electronic cigarettes (e-cigarettes) have emerged as a new paradigm in nicotine delivery systems. Although they are marketed as safer alternatives to tobacco, public perceptions of their safety and utility vary widely. This study aims to understand the percentage of use, factors associated, perceptions, and attitudes about e-cigarettes among Ecuadorian adults. METHODS A cross-sectional survey was conducted among the Ecuadorian population aged 18-65 years through a convenience sample, using a structured online questionnaire designed to collect responses from voluntary participants over three months, from February to April 2023. The questionnaire assessed the respondents' attitudes and perceptions towards e-cigarettes. Data were analyzed using descriptive statistics, chi-squared tests, and adjusted logistic regression analyses to identify factors associated with e-cigarette use. RESULTS Out of a total of 3047 Ecuadorian adults, the percentage of e-cigarette ever use was 27.9% (n=850), with 19.4% being current users and 8.5% former users. A negative stance towards e-cigarettes was predominant, with 66.3% considering e-cigarette use a public health problem in Ecuador. A significant association was observed between e-cigarette use and perceived harmfulness (p<0.001). Among non-users, there was a predominant stance in favor of control measures and disapproval of e-cigarette use among minors (p<0.001). The factors associated with the use of electronic cigarettes included being health personnel (AOR=1.51; 95% CI: 1.26-1.80). Older age (aged >24 years) and a history of tobacco use were associated with lower e-cigarette use (current users, OR=0.31; 95% CI: 0.25-0.38; previous users, OR=0.23; 95% CI: 0.18-0.28). CONCLUSIONS The findings highlight a significant percentage of e-cigarette use among Ecuadorian adults, especially among younger groups. There is a need for comprehensive public health education about e-cigarettes in Ecuador. There is strong support from the public for control measures, suggesting the potential acceptability of regulations concerning e-cigarettes. [ABSTRACT FROM AUTHOR]

What variables indicate whether a small or medium enterprise (SME) applying for financing from a development bank is a good loan candidate? Structural equation modeling applied to a set of variables can provide the necessary insights. This paper analyzes 407 SMEs that applied for development loans in Pichincha Province, Ecuador. Rather than specific economic/financial quantitative variables often used in credit scoring models, we employed qualitative variables to study creditworthiness. The structural equation methodology can verify whether a client is creditworthy based on company management, product characteristics, and contextual market aspects. Another key contribution is the finding that an entrepreneur's personal/professional traits are the primary determinant for granting this type of loan. The results have theoretical and practical implications that could enhance the limited empirical research in this field to date. [ABSTRACT FROM AUTHOR]

Copyright of Revista de Ciencias Sociales (13159518) is the property of Revista de Ciencias Sociales de la Universidad del Zulia Venezuela and its content may not be copied or emailed to multiple sites or posted to a listserv without the copyright holder's express written permission. However, users may print, download, or email articles for individual use. This abstract may be abridged. No warranty is given about the accuracy of the copy. Users should refer to the original published version of the material for the full abstract. (Copyright applies to all Abstracts.)