Universidad de Las Américas

Eucalyptus afforestation negatively affects the ecological condition of streams by impacting macroinvertebrates, whose responses to habitat deterioration and changes in basal resources are not well understood. This study examines the effects of Eucalyptus afforestation on macroinvertebrate functional diversity and trait structure, driven by variations in local habitat and basal resources. The study was conducted once in summer and winter across 27 subtropical lowland streams along an Eucalyptus spp. afforestation gradient. We measured physicochemical water parameters, habitat variables (substrates, depth and current velocity) and biomass of basal resources (macrophytes, periphyton and detritus) simultaneously with macroinvertebrate sampling. We used co-inertia multivariate RLQ and four-corner analyses to explore relationships between physicochemical water parameters, local habitat and basal resources, with trait structure. Structural equation modelling-SEM was used to understand the direct and indirect effects of Eucalyptus afforestation on macroinvertebrate functional diversity. SEM revealed that Eucalyptus afforestation indirectly reduced macroinvertebrate functional diversity by reducing macrophyte biomass in both seasons. The RQL analysis revealed a positive correlation among the biomass of macrophytes, density of predators and number of small- and medium-sized animals. This suggests that the decrease in macrophyte biomass may affect the available refuges and biological interactions by affecting predators and small and medium body sizes. These findings emphasise the importance of macrophytes in sustaining a unique functional trait composition of macroinvertebrates in stream ecosystems. Although afforestation did not influence substrate types, they positively affect functional diversity. Macroinvertebrate functional traits are effective indicators of ecological degradation in streams affected by Eucalyptus afforestation.

Background This study had two main objectives: firstly, to assess the suitability of the Spanish translation of the Young Person’s Clinical Outcome in Routine Evaluation (YP-CORE) for use in Latin America, and secondly, to investigate its psychometric properties specifically with Ecuadorian adolescents. Methods The research consisted of two phases. In Phase 1, insights were gathered from 19 adolescents and 12 experts regarding their comprehension of the YP-CORE. Based on the feedback received during this phase, a revised version of the YP-CORE was developed. In Phase 2, a psychometric assessment of this modified version was conducted with 298 adolescents in Ecuador, aged 11 to 17 years. Results The psychometric analysis revealed that this adapted version of the YP-CORE demonstrated satisfactory levels of acceptability, internal consistency, and test-retest reliability. The factor analysis favored a two-factor model over a single factor, yet the minimal substantive distinctions between these two factors do not justify the use of subscale scoring. Furthermore, the scores indicated age-related differences, with older adolescents (aged 14 to 17 years) obtaining higher scores, and gender-related variations, with females scoring higher. Conclusions This study addresses the need for, and provides, a Spanish-adapted YP-CORE tailored for use in Latin America. This freely available version has the potential to offer valuable insights into interventions for adolescents in the region and to enhance our understanding of their psychological distress.

Web-based pulmonary telerehabilitation (WBPTR) can serve as a valuable tool when access to conventional care is limited. This review assesses a series of studies that explore pulmonary telerehabilitation programmes delivered via web-based platforms. The studies involved participants with moderate to severe chronic obstructive pulmonary disease (COPD). Of the 3190 participants, 1697 engaged in WBPTR platforms, while the remaining 1493 comprised the control groups. Sixteen studies were included in the meta-analysis. Web-based pulmonary telerehabilitation led to an increase in daily step count (MD 446.66, 95% CI 96.47 to 796.86), though this did not meet the minimum clinically important difference. Additionally, WBPTR did not yield significant improvements in the six-minute walking test (MD 5.01, 95% CI − 5.19 to 15.21), health-related quality of life as measured by the St. George’s Respiratory Questionnaire (MD − 0.15, 95% CI − 2.24 to 1.95), or the Chronic Respiratory Disease Questionnaire (MD 0.17, 95% CI − 0.13 to 0.46). Moreover, there was no significant improvement in dyspnoea-related health status, as assessed by the Chronic Respiratory Disease Questionnaire (MD − 0.01, 95% CI − 0.29 to 0.27) or the modified Medical Research Council Dyspnoea Scale (MD − 0.14, 95% CI − 0.43 to 0.14). Based on these findings, this review concludes that WBPTR does not offer substantial advantages over traditional care. While slight improvements in exercise performance were observed, no meaningful enhancements were noted in dyspnoea or quality of life metrics. Overall, WBPTR remains a complementary and accessible option for managing and monitoring COPD patients. However, further research and innovation are required to improve its efficacy and adapt it to various clinical environments.

This paper examines the impact of government spending on inclusive growth in developing Asia, focusing on fiscal redistribution through education, health, and social benefits. Using panel data from 16 countries over the period 1970–2017, we apply a fixed-effects logistic regression model to assess the likelihood of inclusive growth episodes. Our findings indicate that fiscal redistribution, particularly through targeted health and education spending, significantly enhances the chances of achieving inclusive growth. The results also suggest that redistributive spending helps reduce income inequality, ensuring that the benefits of economic growth are more widely shared. We further explore the practical implications of these findings through case studies of China, India, and Vietnam, demonstrating how effective government spending can foster inclusive growth. The paper highlights the importance of well-targeted fiscal policies to support sustainable and equitable development in the post-COVID recovery.

Septic shock (SS) is a potential life-threatening condition in which an early identification and immediate therapy stand out as the main cornerstones to improve survival chance; in this context, emergency medical services (EMS) become key to reduce the time between diagnosis and management in the ICU or emergency department. However, guidelines for the prehospital management of SS patients remains unclear, and literature around this topic is scant. Our scoping review was conducted following the PICO framework and a search strategy related to septic shock management and diagnosis in prehospital settings was executed in PubMed, Scopus and Virtual Health Library; articles in English and Spanish from 2015, onwards, were screened by the authors and selected by mutual consensus. Our aim is to analyze the prehospital management strategies of SS reported in the literature, and to showcase and summarize the screening tools, demographic factors, clinical manifestations and prognostic factors of SS in the prehospital setting.

Aims: Edentulous patients can also suffer from sleep bruxism (SB), just like dentate patients. This study aims to evaluate the prevalence and severity of SB in edentulous patients using the definitive method. Methods: Twenty-three edentulous patients underwent treatment with new conventional complete dentures. Definitive SB was evaluated using the Bruxoff (portable electromyography device) while sleeping at home. The prevalence of SB was assessed by the Bruxmeter software, where SB was evaluated as “absent” (score zero), “light” (<2 episodes), “moderate” (between 2 and 4 episodes), or “severe” (>4 episodes). The prevalence was expressed with descriptive statistics in percentage using the number of detected cases out of the total number of patients. Results: Eighteen patients (78.26%) were diagnosed with SB. The severity of SB was 55.5%, 5.5%, and 39% for the light, moderate, and severe scores, respectively. Conclusions: Almost 8 out of 10 edentulous patients have SB. Approximately half of the SB-detected patients showed moderate to severe severity of bruxism as measured by a commercial, at-home device.

Design This is a retrospective cohort study. Setting: The study was conducted at the Instituto de Neurociencias de la Junta de Beneficencia de Guayaquil, a primary neuroscience institute in Ecuador. Participants The study evaluated 425 participants diagnosed with Mild Cognitive Impairment (MCI) or dementia, out of which 272 individuals (mean age = 75 years; 164 female) presenting specific medical conditions were selected for analysis. Measurements Data were collected on demographics, medical history, and neuropsychological assessment using the Neuropsi scale. Conditions such as Type 2 Diabetes Mellitus, hypertension, obesity, and history of traumatic brain injury were specifically noted. Results Latent Class Analysis identified three distinct classes of patients: Unspecified Cognitive Deterioration, Dementia, and MCI. The three-class model provided the best fit, revealing varied morbidity patterns and highlighting the influence of vascular and metabolic conditions on cognitive decline. Notably, similarities in hypertension and diabetes prevalence between Dementia and MCI classes suggested shared risk factors. The study also found no significant age differences between the classes, indicating that age alone might not be the primary determinant in the progression of cognitive decline. Conclusions The study underscores the complexity of dementia and MCI in an ageing Ecuadorian population, with vascular health playing a crucial role in cognitive impairment. These findings advocate for a holistic approach in managing dementia and MCI, emphasising the importance of addressing cardiovascular and metabolic health alongside neurocognitive care. The distinct morbidity patterns identified offer insights into tailored intervention strategies, highlighting the need for comprehensive, multidisciplinary care in dementia management.

Background The Andean blackberry (Rubus glaucus Benth), locally known as “Mora de Castilla,” is a high-altitude fruit rich in phytochemicals, mainly anthocyanins, with potent antioxidant properties. Although its chemical composition has been studied, the influence of altitude on its phytochemical profile and antioxidant capacity is still unclear. This research aimed to investigate the effects of development stages and altitude on the phytochemical profile and antioxidant activity of this fruit. Methods Andean blackberry fruits were collected at different altitudes and development stages in the central Andean region of Ecuador. An hydroalcoholic extraction was used to quantify the compounds and determine the total antioxidant activity, while solid phase extraction (SPE) was performed to separate anthocyanins from other compounds. Ultra-high-performance liquid chromatography coupled to a triple quadrupole mass spectrometer (HPLC-DAD/ESI-MSn) was used to identify anthocyanin and non-anthocyanin phenols, while total antioxidant capacity, total polyphenols, total flavonoid content, and total anthocyanin content were quantified spectrophotometrically. Results Flavonols and anthocyanins constitute the majority of the flavonoids identified in the Andean blackberry extracts, both in terms of peak areas and number of identified compounds, followed by ellagic and gallic acid derivatives, as well as phenolic acids, mainly hydroxycinnamic acids. Quercetin was identified as the predominant flavonol in unripe berries, where anthocyanins were not significantly present. On the contrary, in ripe berries, cyanidin and its glycosides stood out as the main anthocyanins and predominant compounds. We observed that in the early stages of ripening, the total polyphenol content predominates in the berries and is mainly responsible for their antioxidant capacity. However, as the fruit ripens, the total anthocyanin content increases, becoming the most prominent bioactive compounds in fully ripe berries. Conclusion The results suggest that higher altitude environmental conditions may improve the composition, concentration of phenolic compounds, and antioxidant activity of Andean blackberries. Overall, our findings highlight the high functional value of this fruit, supporting its health-protective effects when consumed regularly, either as fresh fruit or in nutraceutical form.

In the contemporary realm of industry, the imperative for influential and steadfast systems to detect anomalies is critically recognized. Our study introduces a cutting-edge approach utilizing a deep learning model of the Long-Short Term Memory variety, meticulously crafted for real-time surveillance and mitigation of irregularities within industrial settings. Through the careful amalgamation of data acquisition and analytic processing informed by our model, we have forged a system adept at pinpointing anomalies with high precision, capable of autonomously proposing or implementing remedial measures. The findings demonstrate a marked enhancement in the efficacy of operations, with the model’s accuracy surging to 95%, recall at 90%, and an F1 score reaching 92.5%. Moreover, the system has favorably impacted the environment, evidenced by a 25% decline in CO2 emissions and a 20% reduction in water usage. Our model surpasses preceding systems, showcasing significant gains in speed and precision. This research corroborates the capabilities of deep learning within the industrial sector. It underscores the role of automated systems in fostering more sustainable and efficient operations in the contemporary industrial landscape.

The COVID-19 pandemic caused many life losses, which were not uniform across territories. Several factors can explain geographical differences, including the health and sanitary infrastructure and the economic performance. The present study seeks to determine the probability of death by COVID-19 of individuals by analyzing their individual and contextual characteristics related to their canton of residence with emphasis on the structure of the health system. Using combined data at the individual and contextual level, a logit multilevel model is estimated. The results show that cantonal differences explain 12.8–22.6% of the total variance of the individual probability to die. Cantons where people were more likely and less likely to die by stage were identified. Level 1 health care centers played an important role in reducing the probability of death by COVID-19 of individuals from the isolation stage to the vaccination stage.

Historically, ferns have been described as underutilized by insects. However, studies have shown a diversity of insects interacting with ferns, although the evolutionary and ecological drivers of these interactions are still to be untangled. To fill these gaps, we compiled more than 100 yr of global data on insect–fern interactions from the literature comprising 374 fern and 649 insect species. With this database we assessed how fern trophic specialization, phylogenetic relationships and climate have shaped their interactions with insects. Our findings showed that interactions between ferns and insects can be explained by the phylogenetic relations among them. We observed that insect orders part of the Endopterygota clade tend to interact with similar fern species, which might be a result of the inheritance of Endopterygota ancestors probably due to phylogenetic niche conservationism. Under an ecological context, fern specialization increased with temperature, precipitation, and climatic stability. Our results show that climate might be one of the main factors explaining the spatial variation of insect–fern interactions, postulate also supported by the observed phylogenetic clustering of the studied ferns species. Our study highlights the intricate and multifaceted nature of insect–fern interactions, where evolutionary history and ecological factors converge to shape these relationships.

Researchers’ interest in Fog Computing and its application in different sectors has been increasing since the last decade. To discover the emerging trends inherent to this architecture, we analyzed the scientific literature indexed in Scopus through a bibliometric study. Exposing trends in areas of development will allow researchers to understand the changes and evolution over time. For analysis purposes, we used three approaches: performance analysis, science mapping, and literature clustering. Analysis results revealed promising investigation areas in the Fog Computing architecture from 2012 to 2021, which emphasizes that Fog Computing will continue to be an interesting field of research in the future.

While the literature has noted variations in hydrogen peroxide (HP) permeability, and consequently, tooth sensitivity among different types of anterior teeth, there is a scarcity of research on this specific topic. This study evaluated HP permeability and color change (CC) in different groups of human maxillary anterior teeth (canines, lateral incisors, and central incisors) after in-office bleaching with HP at 35%. Thirty teeth maxillary anterior (n=10) were bleached with HP at 35% gel in one session of three 15-minutes applications. Buccal thickness (mm) was measured from images obtained using cone beam computed tomography. The concentration of HP (µg/mL) that reached the pulp chamber was assessed using UV-Vis spectrophotometry. CC (WID, ∆Eab, and ∆E00) was evaluated before and after bleaching with a digital spectrophotometer. One-way ANOVA and Tukey’s test were applied to statistically evaluate the data for buccal thickness, HP permeability, and CC (α=0.05). Comparison between thickness and HP permeability was performed using Pearson's correlation. Thicker teeth, such as canines, had lower HP amounts inside the pulp chamber compared to central and lateral incisors. Despite the significant effect of buccal thickness on HP permeability (p<0.05), no correlation was found between the two factors. CC was similar across tooth types (p>0.05). The difference in buccal thickness among the superior anterior teeth does not interfere with CC. However, a thinner buccal wall thickness is associated with greater HP permeability detected in the pulp after in-office bleaching.

Studying plant–herbivore interactions within tropical rain forests is fundamental to understanding their ecology and evolution. An important aspect of plant–herbivore dynamics is the role of temporal and taxonomic variables in determining associations between herbivores and their host. Using the diverse and chemically rich plant family Annonaceae (Magnoliales), we conducted a year‐long study in Ecuador's Yasuní National Park in lowland Amazonia. We focused on nine understory tree species across a broad phylogenetic range within Annonaceae. For these species, we investigated patterns of herbivory, identified herbivores through DNA barcoding, and documented unique ant–butterfly associations. In general, leaf damage ranged from 0.09% to 25%, with significant temporal fluctuations for three species. Notably, Anaxagorea brevipes and Unonopsis veneficiorum faced higher herbivore pressure when compared to the other studied species. We document a discreet but diverse herbivore community, with 40 larvae from 12 Lepidoptera families collected throughout the year. Our findings identify, for the first time across a phylogenetically diverse sampling of Annonaceae, the specialization of herbivores on our focal species. Overall, our data provide valuable information on herbivory patterns at the local scale for this important rain forest plant family. Furthermore, these findings contribute to our understanding of the ecological processes that influence plant species diversity in tropical rain forests. Abstract in Spanish is available with online material.

Background/Objectives: Huntington’s disease (HD) is a fully penetrant neurodegenerative disease with a profound effect on quality of life. In recent years, there has been rapid growth in the description of its pathogenesis and diagnosis. Magnetic resonance spectroscopy (MRS) measurements can aid in the discrimination between premanifest Huntington’s disease (Pre-HD) and healthy control (HC) subjects to establish early supportive and symptomatic management. Our objective was to evaluate metabolic changes using MRS to shed light on its potential as a biomarker through a systematic review. Methods: We followed the PRISMA guidelines, extracting articles from PubMed, Scopus, and the Virtual Health Library. We included patients with pre-HD, HD, and HC subjected to MRS, reporting the concentration of metabolites in at least one brain region. Results: In the putamen, N-acetyl Aspartate (NAA) was significantly decreased in 77.9% and total NAA (tNAA) was decreased in 72.4% of cases; no significant difference was found in 27.5% (n = 19) of cases. Furthermore, when looking into HD vs. pre-HD in the putamen, tNAA and NAA were decreased in 100% of participants. In the caudate nucleus, NAA and creatine were significantly decreased in 100% of HD in comparison to pre-HD participants, whereas tNAA showed a significant decrease in only 50%. Conclusions: MRS can be a relevant tool for the early diagnosis of HD; potential objective biomarkers related to its onset and pathogenesis exist and show differences between controls, pre-HD and HD patients. However, an effort should be made to standardize MRS methodology and reporting in subsequent studies.