Development and Characterization of a Hand Rub Gel Produced with Artisan Alcohol (Puntas), Silver Nanoparticles, and Saponins from Quinoa.

The emergence of the global pandemic (COVID-19) has directed global attention towards the importance of hygiene as the primary defense against various infections. In this sense, one of the frequent recommendations of the World Health Organization (WHO) is regular hand washing and the use of alcohol-based hand sanitizers. Ethanol is the most widely used alcohol due to its effectiveness in eliminating pathogens, ease of use, and widespread production. However, artisanal alcohol, generally used as a spirit drink, could be a viable alternative for developing sanitizing gels. In this study, the use of alcohol "Puntas", silver nanoparticles, and saponins from quinoa was evaluated to produce hand sanitizer gels. The rheological, physicochemical, and antimicrobial properties were evaluated. In the previous assays, the formulations were adjusted to be similar in visual viscosity to the control gel. A clear decrease in the apparent viscosity was observed with increasing shear rate, and an inversely proportional relationship was observed with the amount of ethyl alcohol used in the formulations. The flow behavior index (n) values reflected a pseudoplastic behavior. Oscillatory dynamic tests were performed to analyze the viscoelastic behavior of gels. A decrease in storage modulus (G') and an increase in loss modulus (G″) as a function of the angular velocity (ω) was observed. The evaluation of pH showed that the gels complied with the requirements to be in contact with the skin of the people, and the textural parameters showed that the control gel was the hardest. The use of artisan alcohol could be an excellent alternative to produce sanitizer gel and contribute to the requirements of the population.

Spatio-temporal evaluation of air pollution using ground-based and satellite data during COVID-19 in Ecuador.

The concentration of gases in the atmosphere is a topic of growing concern due to its effects on health, ecosystems etc. Its monitoring is commonly carried out through ground stations which offer high precision and temporal resolution. However, in countries with few stations, such as Ecuador, these data fail to adequately describe the spatial variability of pollutant concentrations. Remote sensing data have great potential to solve this complication. This study evaluates the spatiotemporal distribution of nitrogen dioxide (NO2) and ozone (O3) concentrations in Quito and Cuenca, using data obtained from ground-based and Sentinel-5 Precursor mission sources during the years 2019 and 2020. Moreover, a Linear Regression Model (LRM) was employed to analyze the correlation between ground-based and satellite datasets, revealing positive associations for O3 (R2 = 0.83, RMSE = 0.18) and NO2 (R2 = 0.83, RMSE = 0.25) in Quito; and O3 (R2 = 0.74, RMSE = 0.23) and NO2, (R2 = 0.73, RMSE = 0.23) for Cuenca. The agreement between ground-based and satellite datasets was analyzed by employing the intra-class correlation coefficient (ICC), reflecting good agreement between them (ICC ≥0.57); and using Bland and Altman coefficients, which showed low bias and that more than 95% of the differences are within the limits of agreement. Furthermore, the study investigated the impact of COVID-19 pandemic-related restrictions, such as social distancing and isolation, on atmospheric conditions. This was categorized into three periods for 2019 and 2020: before (from January 1st to March 15th), during (from March 16th to May 17th), and after (from March 18th to December 31st). A 51% decrease in NO2 concentrations was recorded for Cuenca, while Quito experienced a 14.7% decrease. The tropospheric column decreased by 27.3% in Cuenca and 15.1% in Quito. O3 showed an increasing trend, with tropospheric concentrations rising by 0.42% and 0.11% for Cuenca and Quito respectively, while the concentration in Cuenca decreased by 14.4%. Quito experienced an increase of 10.5%. Finally, the reduction of chemical species in the atmosphere as a consequence of mobility restrictions is highlighted. This study compared satellite and ground station data for NO2 and O3 concentrations. Despite differing units preventing data validation, it verified the Sentinel-5P satellite's effectiveness in anomaly detection. Our research's value lies in its applicability to developing countries, which may lack extensive monitoring networks, demonstrating the potential use of satellite technology in urban planning.

Maternal Perceptions of Evidence-Based Early Childhood Sleep Health Promotion Recommendations: An Explanatory Sequential Study.

OBJECTIVES: The purpose of this explanatory sequential design study was to better understand caregivers' perceptions about and interest in evidence-based early childhood sleep health promotion recommendations. METHOD: A purposeful sample of mothers of 20 1-5-year-old children (10 children exhibiting optimal sleep and 10 children exhibiting insufficient/fragmented sleep) attending a preschool serving a low socio-economic (SES) status metropolitan community were invited to participate in qualitative interviews. Data were coded according to a grounded theory approach and themes were identified within the optimal and suboptimal sleeper groups. RESULTS: Mothers reported different approaches to managing electronics by optimal/suboptimal sleeper group, with mothers of optimal sleepers limiting access to electronics more than mothers in the suboptimal sleep group. Other themes of sleep health practices did not differ meaningfully between groups. CONCLUSIONS: Maternal perspectives about early childhood sleep health were similar across optimal and suboptimal sleepers on most elements of child sleep health. Managing child sleep was contextually influenced and these results highlight the complexities of how families living in lower SES environments perceive common sleep recommendations. Thus, sleep health education efforts should be tailored to the needs and values of specific families and communities.

Impacts of soil erosion and climate change on the built heritage of the Pambamarca Fortress Complex in northern Ecuador.

The Pambamarca fortress complex in northern Ecuador is a cultural and built heritage with 18 prehispanic fortresses known as Pucaras. They are mostly located on the ridge of the Pambamarca volcano, which is severely affected by erosion. In this research, we implemented a multiscale methodology to identify sheet, rill and gully erosion in the context of climate change for the prehistoric sites. In a first phase, we coupled the Revised Universal Soil Loss Equation (RUSLE) and four CMIP6 climate models to evaluate and prioritize which Pucaras are prone to sheet and rill erosion, after comparing historical and future climate scenarios. Then, we conducted field visits to collect geophotos and soil samples for validation purposes, as well as drone flight campaigns to derive high resolution digital elevation models and identify gully erosion with the stream power index. Our erosion maps achieved an overall accuracy of 0.75 when compared with geophotos and correlated positively with soil samples sand fraction. The Pucaras evaluated with the historical climate scenario obtained erosion rates ranging between 0 and 20 ton*ha-1*yr-1. These rates also varied from -15.7% to 39.1% for four future climate change models that reported extreme conditions. In addition, after identifying and overflying six Pucaras that showed the highest erosion rates in the future climate models, we mapped their gully-prone areas that represented between 0.9% and 3.2% of their analyzed areas. The proposed methodology allowed us to observe how the design of the Pucaras and their concentric terraces have managed to reduce gully erosion, but also to notice the pressures they suffer due to their susceptibility to erosion, anthropic pressures and climate change. To address this, we suggest management strategies to guide the protection of this cultural and built heritage landscapes.

Identifying Modifiable Factors Linking Parenting and Sleep in Racial/Ethnic Minority Children.

BACKGROUND: Young children from racial and ethnic minority backgrounds are at risk for poor sleep, yet few studies have tested behavioral interventions in diverse samples. This study tests factors that could contribute to associations between parenting skills and child sleep to inform interventions for children at risk of poor sleep outcomes. Specifically, we examined household chaos, caregiver sleep knowledge, and caregiver sleep quality as putative mediators that may be relevant to interventions seeking to improve child sleep. METHODS: Caregivers (M age 31.83 years; 46.2% African American; 52.1% Hispanic/Latinx, 95% female) of 119 1- to 5-year-old children (M age 3.99 years; 43.7% African American; 42.0% Hispanic/Latinx, 14.3% biracial; 51.3% female) completed measures of parenting practices, child and caregiver sleep, household chaos, and sleep knowledge. Indices of pediatric insomnia symptoms (difficulty falling/remaining asleep) and sleep health (sleep duration/hygiene) were constructed based on previous research. Parallel mediation models were conducted using ordinary least squares path analysis. RESULTS: Lower household chaos significantly attenuated the relationship between positive parenting skills and better child sleep health, suggesting chaos may serve as a potential mediator. There were no significant contributing factors in the pediatric insomnia model. Sleep knowledge was related to sleep health and caregiver sleep quality was related to pediatric insomnia, independent of parenting skills. CONCLUSION: Interventions to improve sleep in early childhood may be enhanced by targeting parenting skills and household routines to reduce chaos. Future longitudinal research is needed to test household chaos and other potential mediators of child sleep outcomes over time.

A geographically weighted random forest approach for evaluate forest change drivers in the Northern Ecuadorian Amazon.

The Tropical Andes region includes biodiversity hotspots of high conservation priority whose management strategies depend on the analysis of forest dynamics drivers (FDDs). These depend on complex social and ecological interactions that manifest on different space-time scales and are commonly evaluated through regression analysis of multivariate datasets. However, processing such datasets is challenging, especially when time series are used and inconsistencies in data collection complicate their integration. Moreover, regression analysis in FDD characterization has been criticized for failing to capture spatial variability; therefore, alternatives such as geographically weighted regression (GWR) have been proposed, but their sensitivity to multicollinearity has not yet been solved. In this scenario, we present an innovative methodology that combines techniques to: 1) derive remote sensing time series products; 2) improve census processing with dasymetric mapping; 3) combine GWR and random forest (RF) to derive local variables importance; and 4) report results based in a clustering and hypothesis testing. We applied this methodology in the northwestern Ecuadorian Amazon, a highly heterogeneous region characterized by different active fronts of deforestation and reforestation, within the time period 2000-2010. Our objective was to identify linkages between these processes and validate the potential of the proposed methodology. Our findings indicate that land-use intensity proxies can be extracted from remote sensing time series, while intercensal analysis can be facilitated by calculating population density maps. Moreover, our implementation of GWR with RF achieved accurate predictions above the 74% using the out-of-bag samples, demonstrating that derived RF features can be used to construct hypothesis and discuss forest change drivers with more detailed information. In the other hand, our analysis revealed contrasting effects between deforestation and reforestation for variables related to suitability to agriculture and accessibility to its facilities, which is also reflected according patch size, land cover and population dynamics patterns. This approach demonstrates the benefits of integrating remote sensing-derived products and socioeconomic data to understand coupled socioecological systems more from a local than a global scale.

Proteomic and phenotypic analysis of triclosan tolerant verocytotoxigenic Escherichia coli O157:H19.

Triclosan is a biocidal active agent commonly used in domestic and industrial formulations. Currently, there is limited understanding of the mechanisms involved in triclosan tolerance in Escherichia coli O157. The aim of this study was to identify the differences between a triclosan susceptible E. coli O157:H19 isolate (minimum inhibitory concentration; MIC 6.25 µg/ml) and its triclosan tolerant mutant (MIC>8000 µg/ml) at a proteomic and phenotypic level. Two dimensional DIGE was used to identify differences in protein expression between the reference strain and triclosan tolerant mutant in the presence and absence of triclosan. DIGE analysis indicates the proteome of the reference E. coli O157:H19 was significantly different to its triclosan tolerant mutant. Significant changes in protein expression levels in the triclosan tolerant mutant included the known triclosan target FabI which encodes enoyl reductase, outer membrane proteins and the filament structural protein of flagella, FliC. Phenotypic studies showed that the triclosan tolerant mutant MIC decreased in the presence of efflux inhibitor phenyl-arginine-ß-naphthylamide and biofilm formation was increased in the mutant strain. The data generated indicates that enhanced triclosan tolerance is a result of multiple mechanisms which act together to achieve high-level resistance, rather than mutation of FabI alone.

Comparative proteomic analysis of Salmonella tolerance to the biocide active agent triclosan.

Concern has been expressed about the overuse of biocides in farm animal production and food industries. Biocide application can create selective pressures that lead to increased tolerance to one or more of these compounds and are concomitant with the emergence of cross-resistance to antibiotics. A triclosan sensitive Salmonella enterica serovar Typhimurium and the isogenic triclosan tolerant mutant were studied at the proteomic level in order to elucidate cellular mechanisms that facilitate biocide tolerance. 2-D differential fluorescent gel electrophoresis (DIGE) compared protein profiles of parent and mutant Salmonella, in the presence and absence of triclosan. Differentially expressed proteins were identified by mass spectrometry and divided into two groups: Group A describes proteins differentially expressed between susceptible and triclosan tolerant Salmonella and includes the known triclosan target FabI which contained a mutation at the triclosan target binding site. Group B identified proteins differentially expressed in response to triclosan exposure and defines a general cell defence network. Only four proteins were common to both groups highlighting the diverse range of pathways employed by Salmonella to counteract biocides. These data suggest that sub-lethal concentrations of triclosan induce discernible changes in the proteome of exposed Salmonella and provide insights into mechanisms of response and tolerance.

Comparative proteomic analysis of differentially expressed proteins in the urine of reservoir hosts of leptospirosis.

Rattus norvegicus is a natural reservoir host for pathogenic species of Leptospira. Experimentally infected rats remain clinically normal, yet persistently excrete large numbers of leptospires from colonized renal tubules via urine, despite a specific host immune response. Whilst persistent renal colonization and shedding is facilitated in part by differential antigen expression by leptospires to evade host immune responses, there is limited understanding of kidney and urinary proteins expressed by the host that facilitates such biological equilibrium. Urine pellets were collected from experimentally infected rats shedding leptospires and compared to urine from non-infected controls spiked with in vitro cultivated leptospires for analysis by 2-D DIGE. Differentially expressed host proteins include membrane metallo endopeptidase, napsin A aspartic peptidase, vacuolar H+ATPase, kidney aminopeptidase and immunoglobulin G and A. Loa22, a virulence factor of Leptospira, as well as the GroEL, were increased in leptospires excreted in urine compared to in vitro cultivated leptospires. Urinary IgG from infected rats was specific for leptospires. Results confirm differential protein expression by both host and pathogen during chronic disease and include markers of kidney function and immunoglobulin which are potential biomarkers of infection.

Rat model of chronic leptospirosis.

Reservoir hosts of pathogenic Leptospira species, including wild and domestic animal species, persistently excrete leptospires from infected renal tubules via urine into the environment. Reservoir hosts are typically asymptomatic. In contrast to the hamster model of leptospirosis (described in UNIT 12E.2), which emulates the severe form of human leptospirosis, the rat model of chronic leptospirosis emulates the asymptomatic infection observed in reservoir hosts. Rats are the primary reservoir host for pathogenic Leptospira species associated with the severe forms of human leptospirosis.

Identification of growth inhibiting compounds in a Giardia lamblia high-throughput screen.

Giardia lamblia is one of the most common eukaryotic pathogens and is classified by the CDC as a category B agent of bioterrorism. In a departure from more traditional research focused on specific pathways or molecules, we have developed a high-throughput assay for screening libraries of small compounds for inhibitors and enhancers of trophozoite multiplication. Following a 24-h period of culture in 384-well plates in the presence of compounds, trophozoites were fixed, stained and enumerated. Quadruplicate screening of 1520 compounds from two libraries of known bioactives detected numerous inhibitory compounds. Based on a stringent cut-off of 5 standard deviations from the plate mean, 50 compounds (3.3%) were inhibitory. The activity of 3 compounds was confirmed in conventional culture. Although not meeting the threshold, one compound (indirubin) was identified as an agonist of trophozoite proliferation. Demonstrating the potential of high-throughput screening for rapidly finding new compounds which perturb G. lamblia multiplication, most of the hits identified by high-throughput screening do not appear to have been tested previously for their ability to affect G. lamblia trophozoites. High-throughput screening of bioactive compounds will open new avenues to a system-wide analysis of pathways affecting G. lamblia proliferation, and eventually to other phases of the life cycle.

Puerto Rican migrant farmworkers: an untold story.

PIP: Thousands of Puerto Rican farmworkers have annually migrated to the US mainland. In 1947, the inhuman conditions that the Puerto Rican farmworker faced on the mainland forced a crisis on the island where in 1948 the Puerto Rican government established the Migration Division of its Department of Labor and specifically mandated that it oversee the annual outflow of farmworkers. The Farmworkers' Support Committee (CATA) involves and educates farmworkers in various ways, as well as has organizers visit camps on a regular basis as soon as the farm season has begun. CATA convenes regional meetings organized by worker committees in the different regions of Southern New Jersey where farm workers from different farms can get together and discuss common problems. The large majority of New Jersey farm-workers are Hispanic from Puerto Rico and Mexico. In 1978, the average annual income for a farmworker's family of 4 was $3000, over 40% below the poverty line. During the harvest of 1980, CATA was involved in several labor disputes, but the big one was the Sunny Slope strike in South Jersey. Puerto Rican farmworkers employed on farms in southern New Jersey face living and working conditions, exploitation, and a host of problems that are much worse than other workers face, and that stem, ultimately from their powerlessness. Although there is a lack of funding, training for staff, and organization and communication between areas of work, CATA's final goal is to become a movement to support and advocate for the formation of a farm workers union, "controlled and directed by farmworkers."^ieng

Sand aspiration in drowning and near drowning.

Aspiration of sand and other foreign material is often discovered at autopsy in victims of drowning, but is not commonly seen radiographically. Two such cases are described, one of drowning and one of near drowning. In each case, the sand was radiopaque because of its calcium carbonate content and created a "sand bronchogram", i.e., sand in the tracheobronchial tree. With early recognition, successful bronchoscopic removal of the aspirated sand is possible.