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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 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]

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 International Symposium on Andean Geodynamics (ISAG) is an international conference that was held, on average, every 3–4 years in different European cities between 1990 (Grenoble) and 2008 (Nice). These symposia usually offer an opportunity for researchers from Latin American countries and Europe as well as other countries to review the state of knowledge in geosciences on the Andes. After a long period without an edition, the 8th ISAG was organized for the first time in a Latin American country, Ecuador, from 24th to 26th September 2019. The organizing committee led by Pablo Samaniego relied heavily on the Instituto Geofísico of the Escuela Politécnica Nacional (IG-EPN) and the Institut de Recherche pour le Développement (IRD), in particular through its office in Quito, and through the Laboratoire Mixte International in France and Ecuador: "Seismes et Volcans dans les Andes du Nord" (LMI-SVAN); and the French Embassy in Ecuador. Field trips in tectonics, seismotectonics and volcanology at emblematic sites in Ecuador were organized by researchers from the IRD (Isterre and LMV), the Institut de Radio Protection Nucléaire (IRSN), IG-EPN and the University of Geneva. Four invited speakers gave presentations: Peter Molnar (University of Boulder) on the mechanisms of the Andes uplift, Suzanne Kay (Cornell University) on its magmatism, Victor Ramos (University of Buenos Aires) on the scientific approaches developed through time for the Andean orogeny and Eric Calais (Ecole Normale Supérieure de Paris) on the difficulty of dialog between seismic risk specialists and the authorities in Haiti. The symposium also provided an opportunity for more than 250 participants to meet, with more than 80 oral presentations and over 150 posters. As a result of this conference, the Editor of the Journal of South American Earth Sciences proposed to the organizing committee to publish a special issue on the contours of these presentations. Following the peer review process, 19 papers are published in this special issue. These manuscripts reflect the various disciplinary fields, geophysics and deep imaging, tectonics, volcanism, geomorphology and seismic hazard, from the local scale to the Andes as a whole. Not surprisingly, a higher density of works is found in Ecuador and the northern Andes (Figure 1). As this collection of articles reflects the outlines of a symposium and not a specific scientific question, our aim here is not to develop a synthesis of current knowledge on the Andes. We therefore present these articles in sequence, by discipline, although this categorization may appear subjective since some articles are multidisciplinary. [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]

School site leadership has commanded the attention of researchers and policymakers in Anglo-American jurisdictions for at least two decades, but little is known about how many other parts of the globe have addressed this topic. This paper reviews published research and policy documents related to school leadership in Latin America between 2000-2016. Applying rapid mapping techniques used for scoping studies, we review 359 research and policy documents and give "coherent, meaningful shape" to what we know and what we don't know about school leadership in the region. Attention in research and policy to school leadership in Latin America was relatively slow to arrive: whilst it grew steadily in the first decade of this century it remains low compared to other regions of the world. We provide an overview of the school leadership policy environment in several countries, describing recruitment, selection, evaluation, and job responsibilities of principals; relevant leadership frameworks; and requirements for training or professional development. We speculate on what might explain the diverse ways that school leadership has been taken up in the region: degree of school system centralization; policy borrowing; stage of development; technocratic problem solving; and neoliberal accountability.

Bergmann's rule generally predicts larger animal body sizes with colder climates. We tested whether Bergmann's rule at the interspecific level applies to moths (Lepidoptera: Geometridae) along an extended elevational gradient in the Ecuadorian Andes. Moths were sampled at 22 sites in the province Zamora-Chinchipe in southern Ecuador in forest habitats ranging from 1040 m to 2677 m above sea level. Wingspans of 2282 male geometrid moths representing 953 species were measured and analysed at the level of the family Geometridae, as well as for the subfamily Ennominae with the tribes Boarmiini and Ourapterygini, and the subfamily Larentiinae with the genera Eois, Eupithecia and Psaliodes. Bergmann's rule was not supported since the average wingspan of geometrid moths was negatively correlated with altitude ( r = −0.59, P < 0.005). The relationship between body size and altitude in Geometridae appears to be spurious because species of the subfamily Larentiinae are significantly smaller than species of the subfamily Ennominae and simultaneously increase in their proportion along the gradient. A significant decrease of wingspan was also found in the ennomine tribe Ourapterygini, but no consistent body size patterns were found in the other six taxa studied. In most taxa, body size variation increases with altitude, suggesting that factors acting to constrain body size might be weaker at high elevations. The results are in accordance with previous studies that could not detect consistent body size patterns in insects at the interspecific level along climatic gradients. [ABSTRACT FROM AUTHOR]

In the paper entitled "Two independent real-time precursors of the 7.8 M earthquake in Ecuador based on radioactive and geodetic processes – Powerful tools for an early warning system", Toulkeridis et al. (2019) claim that they found radiation and GPS signal anomalies before the April 16th 2016 Pedernales earthquake (Ecuador) and that their findings can be used to forecast earthquakes in the medium and short term in active continental margins. Using an extended data set that overlaps Toulkeridis et al. (2019) study period, we find: (1) the success rate of predicting earthquakes using radiation anomalies is 2.5 %; (2) radiation anomalies, including the one recorded during the hours before the M 7.8 earthquake, temporally correlate with local rainfall; (3) Toulkeridis et al. (2019) GPS results are physically unrealistic and inconsistent with previously published GPS and InSAR analysis; (4) there is no anomaly in the GPS time series before the earthquake. Therefore, Toulkeridis et al. (2019) results are not reliable evidence of precursors to the M 7.8 earthquake in 2016 in Ecuador, and their proposed method cannot be used to forecast earthquakes. [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]

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]

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]

Latin America (LATAM) plays an important role in the world's production of aquatic animals and is the second most productive region in the world. Chile, Ecuador, Brazil, Mexico, Colombia, and Perú contribute 87% of LATAM aquaculture production. The fish welfare in aquaculture is of increasing public concern globally, and LATAM is no exception, growing in importance for fish farmers, authorities, and scientists. Although the topic is somewhat controversial, the welfare status of farmed fish has direct implications for their production and the sustainability of the industry. Therefore, this study analyses scientific papers on animal welfare in farmed fish, from the six countries in LATAM with the highest aquaculture production. The main objectives were to quantify the number of papers published between 2000 and 2023 on fish welfare by using scientific databases. A total of 285 papers were found for the period analysed. The country with the largest number of publications was Brazil (75.79%), followed by Chile (13.33%), Mexico (7.02%), Peru (1.75%), Ecuador, and Colombia (1.05%). Nile tilapia was the most studied species, appearing in 30.18% of the publications, with most of the studies mainly dealing with nutrition (32.28%). The growth of aquaculture is leading to joint efforts to generate knowledge on welfare issues, especially in poorly studied species with high production, to create policies that help minimize welfare risks. Given this, the insights generated by this review could be a useful addition to approaches investigating the trends and concepts of fish welfare in LATAM. [ABSTRACT FROM AUTHOR]

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]

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]

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.)

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.)

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 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]

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.)

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]

Purpose: This paper examines the potential of "biomarkers" to provide immutable identification for food products (chocolate), providing traceability and visibility in the supply chain from retail product back to farm. Design/methodology/approach: This research uses qualitative data collection, including fieldwork at cocoa farms and chocolate manufacturers in Ecuador and the Netherlands and semi-structured interviews with industry professionals to identify challenges and create a supply chain map from cocoa plant to retailer, validated by area experts. A library of biomarkers is created using DNA collected from fieldwork and the International Cocoa Quarantine Centre, holders of cocoa varieties from known locations around the world. Matching sample biomarkers with those in the library enables identification of origins of cocoa used in a product, even when it comes from multiple different sources and has been processed. Findings: Supply chain mapping and interviews identify areas of the cocoa supply chain that lack the visibility required for management to guarantee sustainability and quality. A decoupling point, where smaller farms/traders' goods are combined to create larger economic units, obscures product origins and limits visibility. These factors underpin a potential boundary condition to institutional theory in the industry's fatalism to environmental and human abuses in the face of rising institutional pressures. Biomarkers reliably identify product origin, including specific farms and (fermentation) processing locations, providing visibility and facilitating control and trust when purchasing cocoa. Research limitations/implications: The biomarker "meta-barcoding" of cocoa beans used in chocolate manufacturing accurately identifies the farm, production facility or cooperative, where a cocoa product came from. A controlled data set of biomarkers of registered locations is required for audit to link chocolate products to origin. Practical implications: Where biomarkers can be produced from organic products, they offer a method for closing visibility gaps, enabling responsible sourcing. Labels (QR codes, barcodes, etc.) can be swapped and products tampered with, but biological markers reduce reliance on physical tags, diminishing the potential for fraud. Biomarkers identify product composition, pinpointing specific farm(s) of origin for cocoa in chocolate, allowing targeted audits of suppliers and identifying if cocoa of unknown origin is present. Labour and environmental abuses exist in many supply chains and enabling upstream visibility may help firms address these challenges. Social implications: By describing a method for firms in cocoa supply chains to scientifically track their cocoa back to the farm level, the research shows that organizations can conduct social audits for child labour and environmental abuses at specific farms proven to be in their supply chains. This provides a method for delivering supply chain visibility (SCV) for firms serious about tackling such problems. Originality/value: This paper provides one of the very first examples of biomarkers for agricultural SCV. An in-depth study of stakeholders from the cocoa and chocolate industry elucidates problematic areas in cocoa supply chains. Biomarkers provide a unique biological product identifier. Biomarkers can support efforts to address environmental and social sustainability issues such as child labour, modern slavery and deforestation by providing visibility into previously hidden areas of the supply chain. [ABSTRACT FROM AUTHOR]

The original cluster-randomised controlled trial took place in two provinces of Northern Ecuador. The trial compared cash, food or voucher assistance and found them to be effective. The results of the original paper are completely replicable and the findings of the original analysis are robust; however, we additionally find that treatments are more effective in the poorer province. We then extend the cost-effectiveness analysis by taking into account the parameter uncertainty in a probabilistic sensitivity analysis (PSA). Moreover, we provide information about the usefulness of additional research to reduce uncertainty concerning the cost-effectiveness analysis by calculating the expected value of perfect information (EVPI). Our extended cost-effectiveness analysis reveals that for some outcomes decision makers with a relatively small willingness-to-pay maybe a risk to choose a less cost-effective intervention. Furthermore, our findings indicate that further research into the comparative cost-effectiveness of these interventions could be worthwhile. This is in particular true for low-resource settings where decision makers face stricter budget constraints to finance interventions. In particular, policy makers with a small budget have a high risk of choosing a comparably less cost-effective treatment. Hence, further research to reduce uncertainty of effect estimates could aid decision-making. [ABSTRACT FROM AUTHOR]

This paper tells the inside story of a spontaneous uprising in the Ecuadorian Amazon in 2017, in which mestizo, Afro-descendant and Indigenous workers and communities confronted the combined forces of a multinational oil company and a militarized state. The paper documents a rapidly evolving battle that achieved a remarkable victory, and bears witness to the fleeting emergence of an insurgent form of political universality. It suggests that the decolonial dichotomy between top-down universalism and a bottom-up pluriverse should be replaced by an approach that is attentive to manifestations of universality performed by subaltern subjects in their confrontations with extractive capital. [ABSTRACT FROM AUTHOR]

A documentary review was carried out on the production and publication of research papers related to the study of the variable The Food Industry and its Post-COVID Economic Impact in Latin America. The purpose of the bibliometric analysis proposed in this document is to know the main characteristics of the volume of publications registered in the Scopus database during the period 2016-2021 in Latin American countries, achieving the identification of 54 publications in total. The information provided by the said platform was organized through tables and figures categorizing the information by Year of Publication, Country of Origin, Area of Knowledge, and Type of Publication. Once these characteristics were described, the position of different authors regarding the proposed topic was referenced using a qualitative analysis. Among the main findings of the present research, it is found that Brazil, with 20 publications, is the Latin American country with the highest production. The area of knowledge that made the greatest contribution to the construction of bibliographic material referring to the study of the Food Industry and its Post-COVID Economic Impact was Agricultural and Biological Sciences with 22 published documents and the type of publication that was most used during the period indicated above was the journal article, which represents 50% of the total scientific production. [ABSTRACT FROM AUTHOR]

Although there has been increasing commitment towards equalizing the researcherparticipant relationship in Indigenous tourism research, practices that transform this commitment into reality are still scarce. In this reflective paper, I argue that food sovereignty principles and a researcher’s reflexivity can improve this situation. To support this argument, I draw from my experience of working collaboratively with Kichwa Napo Runa people in Ecuador while exploring the impacts of tourism on their food sovereignty. I examine my reflexivity in two aspects of my work: 1) research journaling to develop awareness of how my values and relationships influence the research process and outcomes; and 2) using this journal's content to reflexively analyse how my research contributes to food sovereignty goals surrounding the development of social relations that are free of oppression and inequality. My journal's passages show that constant attention to reflexivity can equalize power relationships in research and promote an ethical space between researchers and participants. Overall, this paper contributes to critical Indigenous tourism research approaches and the growing literature on practices involving the implementation of food sovereignty in various fields and contexts. [ABSTRACT FROM AUTHOR]

Introducing the special issue, this paper provides a state-of-the-art on established and new trends in the study of international retirement migration (IRM) and summarises the five papers that follow. Early studies on IRM were mainly within Europe and drew on the conceptual framework of lifestyle migration, with some reference to the transnational and mobilities paradigms. New frontiers in IRM are presented under three heads. Firstly, new geographical frontiers extend IRM to new destinations within and proximate to Europe, and to new locations in the global South such as Thailand and Ecuador. Secondly, new typological frontiers involve a broadening of the class and wealth backgrounds of the retirees, including the 'return of retirement' of labour migrants to their countries of origin, and attentiveness to IRM's gendered aspects. Thirdly, new conceptual and theoretical frontiers of IRM involve a more in-depth investigation of its transnational aspects, exploration of the various regimes of mobility and, most importantly, a political economy perspective which stresses global inequalities and histories of colonialism in shaping access to privileged lifestyles. In the final part of the paper, the original features of each paper in the special issue are highlighted, demonstrating how they are collectively integrated and contribute to the advancement of IRM research. [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]