Selection of the Minimum Number of EEG Sensors to Guarantee Biometric Identification of Individuals.

Biometric identification uses person recognition techniques based on the extraction of some of their physical or biological properties, which make it possible to characterize and differentiate one person from another and provide irreplaceable and critical information that is suitable for application in security systems. The extraction of information from the electrical biosignal of the human brain has received a great deal of attention in recent years. Analysis of EEG signals has been widely used over the last century in medicine and as a basis for brain-machine interfaces (BMIs). In addition, the application of EEG signals for biometric recognition has recently been demonstrated. In this context, EEG-based biometric systems are often considered in two different applications: identification (one-to-many classification) and authentication (one-to-one or true/false classification). In this article, we establish a methodology for selecting and reducing the minimum number of EEG sensors necessary to carry out effective biometric identification of individuals. Two methodologies were applied, one based on principal component analysis and the other on the Wilcoxon signed-rank test in order to reduce the number of electrodes. This allowed us to identify, according to the methodology used, the areas of the cerebral cortex that would allow selection of the minimum number of electrodes necessary for the identification of individuals. The methodologies were applied to two databases, one with 13 people with self-collected recordings using low-cost EEG equipment, EMOTIV EPOC+, and another publicly available database with recordings from 109 people provided by the PhysioNet BCI.

Self-controlled responses to COVID-19: Self-control and uncertainty predict responses to the COVID-19 pandemic.

Two online studies (Total N = 331) tested the hypothesis that individual differences in self-control and responses to uncertainty would predict adherence to Centers for Disease Control and Prevention (CDC, 2020a) guidelines, reported stockpiling, and intentions to engage in hedonic behavior in response to the COVID-19 pandemic. Trait self-control (b = 0.27, p = .015), desire for self-control (Study 1: b = 0.28, p = .001; Study 2: b = 0.27, p = .005), and cognitive uncertainty (b = 0.73, p < .001) predicted more CDC adherence. State self-control (Study 1: b = -0.15, p = .012; Study 2: b = -0.26, p < .001) predicted less stockpiling, whereas emotional uncertainty (b = 0.56, p < .001) and cognitive uncertainty (b = 0.61, p < .001) predicted more stockpiling. State self-control (b = -0.18, p = .003) predicted less hedonic behavior, whereas desire for self-control (b = 0.42, p < .001) and emotional uncertainty (b = 0.26, p = .018) predicted more hedonic behavior. Study 2 (pre-registered) also found that emotional uncertainty predicted more stockpiling and hedonic behavior for participants low in state self-control (stockpiling: b = -0.31, p < .001; hedonic behavior: b = 0.28, p = .025), but not for participants high in state self-control (stockpiling: b = 0.03, p = .795; hedonic behavior: b = -0.24, p = .066). These findings provide evidence that some forms of self-control and uncertainty influenced compliance with behavioral recommendations during the COVID-19 pandemic. Supplementary Information: The online version contains supplementary material available at 10.1007/s12144-021-02066-y.

The Impact of Cultural Health Capital on Market Choice Along the Texas-Mexico Border.

Transnational cultural health capital (CHC) includes individual resources such as skills and behaviors patients use to manage healthcare exclusion and negotiate care. This study examines the impact of CHC on decisions by Hispanic people who live in El Paso, Texas, to utilize one or more markets for healthcare. We expand on the current literature and present novel findings by quantifying several aspects of CHC that may contribute to cross-border health-seeking behaviors in this vulnerable group which tends to suffer various health disparities and limited access to health insurance. Results support the hypotheses related to how the various cultural, social, and economic resources that comprise CHC affect market choices. This research has significant implications for understanding how border residents may mitigate a lack of accessibility and affordability for healthcare, developing transnational health policy, and aiding healthcare providers to understand their patients' choice(s) of healthcare markets.

Mass production of unvouchered records fails to represent global biodiversity patterns.

The ever-increasing human footprint even in very remote places on Earth has inspired efforts to document biodiversity vigorously in case organisms go extinct. However, the data commonly gathered come from either primary voucher specimens in a natural history collection or from direct field observations that are not traceable to tangible material in a museum or herbarium. Although both datasets are crucial for assessing how anthropogenic drivers affect biodiversity, they have widespread coverage gaps and biases that may render them inefficient in representing patterns of biodiversity. Using a large global dataset of around 1.9 billion occurrence records of terrestrial plants, butterflies, amphibians, birds, reptiles and mammals, we quantify coverage and biases of expected biodiversity patterns by voucher and observation records. We show that the mass production of observation records does not lead to higher coverage of expected biodiversity patterns but is disproportionately biased toward certain regions, clades, functional traits and time periods. Such coverage patterns are driven by the ease of accessibility to air and ground transportation, level of security and extent of human modification at each sampling site. Conversely, voucher records are vastly infrequent in occurrence data but in the few places where they are sampled, showed relative congruence with expected biodiversity patterns for all dimensions. The differences in coverage and bias by voucher and observation records have important implications on the utility of these records for research in ecology, evolution and conservation research.

State-of-the-Art Features for Early-Stage Detection of Diabetic Foot Ulcers Based on Thermograms.

Diabetic foot ulcers represent the most frequently recognized and highest risk factor among patients affected by diabetes mellitus. The associated recurrent rate is high, and amputation of the foot or lower limb is often required due to infection. Analysis of infrared thermograms covering the entire plantar aspect of both feet is considered an emerging area of research focused on identifying at an early stage the underlying conditions that sustain skin and tissue damage prior to the onset of superficial wounds. The identification of foot disorders at an early stage using thermography requires establishing a subset of relevant features to reduce decision variability and data misinterpretation and provide a better overall cost-performance for classification. The lack of standardization among thermograms as well as the unbalanced datasets towards diabetic cases hinder the establishment of this suitable subset of features. To date, most studies published are mainly based on the exploitation of the publicly available INAOE dataset, which is composed of thermogram images of healthy and diabetic subjects. However, a recently released dataset, STANDUP, provided data for extending the current state of the art. In this work, an extended and more generalized dataset was employed. A comparison was performed between the more relevant and robust features, previously extracted from the INAOE dataset, with the features extracted from the extended dataset. These features were obtained through state-of-the-art methodologies, including two classical approaches, lasso and random forest, and two variational deep learning-based methods. The extracted features were used as an input to a support vector machine classifier to distinguish between diabetic and healthy subjects. The performance metrics employed confirmed the effectiveness of both the methodology and the state-of-the-art features subsequently extracted. Most importantly, their performance was also demonstrated when considering the generalization achieved through the integration of input datasets. Notably, features associated with the MCA and LPA angiosomes seemed the most relevant.

Ambient temperature and term birthweight in Latin American cities.

BACKGROUND: Extreme temperatures may lead to adverse pregnancy and birth outcomes, including low birthweight. Studies on the impact of temperature on birthweight have been inconclusive due to methodological challenges related to operationalizing temperature exposure, the definitions of exposure windows, accounting for gestational age, and a limited geographic scope. METHODS: We combined data on individual-level term live births (N≈15 million births) from urban areas in Brazil, Chile, and Mexico from 2010 to 2015 from the SALURBAL study (Urban Health in Latin America) with high-resolution daily air temperature data and computed average ambient temperature for every month of gestation for each newborn. Associations between full-term birthweight and average temperature during gestation were analyzed using multi-level distributed lag non-linear models that adjusted for newborn's sex, season of conception, and calendar year of child's birth; controlled for maternal age, education, partnership status, presence of previous births, and climate zone; and included a random term for the sub-city of mother's residence. FINDINGS: Higher temperatures during the entire gestation are associated with lower birthweight, particularly in Mexico and Brazil. The cumulative effect of temperature on birthweight is mostly driven by exposure to higher temperatures during months 7-9 of gestation. Higher maternal education can attenuate the temperature-birthweight associations. INTERPRETATION: Our work shows that climate-health impacts are likely to be context- and place-specific and warrants research on temperature and birthweight in diverse climates to adequately anticipate global climate change. Given the high societal cost of suboptimal birthweight, public health efforts should be aimed at diminishing the detrimental effect of higher temperatures on birthweight. FUNDING: The Wellcome Trust.

Mesocarnivore landscape use along a gradient of urban, rural, and forest cover.

Mesocarnivores fill a vital role in ecosystems through effects on community health and structure. Anthropogenic-altered landscapes can benefit some species and adversely affect others. For some carnivores, prey availability increases with urbanization, but landscape use can be complicated by interactions among carnivores as well as differing human tolerance of some species. We used camera traps to survey along a gradient of urban, rural, and forest cover to quantify how carnivore landscape use varies among guild members and determine if a species was a human exploiter, adapter, or avoider. Our study was conducted in and around Corvallis, Oregon from April 2018 to February 2019 (11,914 trap nights) using 47 camera trap locations on a gradient from urban to rural. Our focal species were bobcat (Lynx rufus), coyote (Canis latrans), gray fox (Urocyon cinereoargenteus), opossum (Didelphis virginiana), raccoon (Procyon lotor), and striped skunk (Mephitis mephitis). Raccoon and opossum were human exploiters with low use of forest cover and positive association with urban and rural developed areas likely due to human-derived resources as well as some refugia from larger predators. Coyote and gray fox were human adapters with high use of natural habitats while the effects of urbanization ranged from weak to indiscernible. Bobcat and striped skunk appeared to be human avoiders with negative relationship with urban cover and higher landscape use of forest cover. We conducted a diel temporal activity analysis and found mostly nocturnal activity within the guild, but more diurnal activity by larger-bodied predators compared to the smaller species. Although these species coexist as a community in human-dominated landscapes throughout much of North America, the effects of urbanization were not equal across species. Our results, especially for gray fox and striped skunk, are counter to research in other regions, suggesting that mesopredator use of urbanized landscapes can vary depending on the environmental conditions of the study area and management actions are likely to be most effective when decisions are based on locally derived data.

Evaluation of a College-Level Nutrition Course With a Teaching Kitchen Lab.

OBJECTIVE: To evaluate the impact of a college nutrition course with a teaching kitchen lab on students' attitudes, self-efficacy, and behaviors about healthful eating and cooking. METHODS: Preintervention and postintervention design, and anonymous online survey of sociodemographic information and students' attitudes and self-efficacy about consuming fruits, vegetables, and whole grains and about cooking, self-reported intake, and cooking behaviors. RESULTS: Two-hundred and fourteen participants enrolled in the study during 5 semesters. Of these, 171 (80%) had complete pretest and posttest data. Attitudes and self-efficacy scores about consuming fruits, vegetables, whole grains, and cooking were significantly higher in the posttest (vs pretest; all P < 0.0001). Self-reported intake of fruits (P < 0.0001) and vegetables (P = 0.0006) also increased. Cooking frequency increased (P < 0.0001), skipping meals frequency decreased (P < 0.0001), whereas no significant changes were observed for eating out, take-out, or premade meals frequency. CONCLUSIONS AND IMPLICATIONS: A college nutrition course with a teaching kitchen lab could improve healthful eating and promote cooking in young adults.

Integrated Nutrition and Culinary Education in Response to Food Insecurity in a Public University.

Food insecurity is an emerging issue for college students. A nutrition course with an integrated teaching kitchen was developed to address this issue at a large public university. We aimed to determine changes in food insecurity and stress among students who took the course. The course consisted of weekly lectures followed by teaching kitchen lab sessions to teach basic nutrition and culinary concepts and expose students to hands-on skill development cooking experiences. Using a pre-post design, enrolled students completed an anonymous online survey at the beginning and the end of the semester. Food security was assessed with the USDA Six-Item Food Security Module; stress was measured using the Perceived Stress Scale (PSS). Pre- and post-data were linked for 171 participants. Paired data statistical analysis comparing the post- vs. the pre-test showed an increase in food security and a decrease in very low security rates (from 48% to 70%, and from 23% to 6%, respectively; p < 0.0001), and a decrease on the average PSS score, indicating lower stress (from (Mean ± SD) 19.7 ± 5.9 to 18.1 ± 6.0; p = 0.0001). A nutrition and culinary course may be an effective response to food insecurity and could potentially improve students' wellbeing.

A Quality Improvement Project Focused on Improving First Dose Antibiotic Timeliness for Pediatric Intensive Care Unit Patients with Severe Sepsis.

Recommended time to start administration of first dose antibiotics for sepsis patients is 60 minutes from time 0. Institution-specific data revealed that only one-quarter of severe sepsis patients were meeting this goal when measured from the time of provider order entry. Reliance on a pneumatic tube system for first-dose antibiotic delivery was deemed largely responsible for this finding. This project aimed to increase the percentage of pediatric intensive care unit patients with severe sepsis receiving first dose antibiotics within 60 minutes of provider order entry to ≥50%. METHODS: Baseline data were collected from May to June 2018 and resulted in the development of a new "antibiotic champion" process, which we piloted for 1 week in early August 2018. The primary outcome measure was the cumulative percentage of patients meeting the 60-minute goal as measured from provider order entry to start of antibiotic administration. A key secondary endpoint was the median time in minutes from provider order entry to antibiotic administration. RESULTS: We included 14 patients in baseline data analysis and 16 patients in the pilot. The overall percentage of patients receiving antibiotics within 60 minutes of order entry increased from 29% to 75% (P-value: 0.026). The median time from provider order entry to antibiotic administration decreased by 36.5 minutes [baseline: 84.5 (range 58.8-117) versus pilot 48 (range 32-65), P-value: 0.0017]. CONCLUSION: The antibiotic champion process significantly increased the total percentage of severe sepsis patients meeting the 60-minute goal and decreased the median time to first-dose antibiotic administration for pediatric intensive care unit patients.

Spanish Translation of the Anatomical Quality Assurance (AQUA) Checklist: new guidelines for reporting in original anatomical studies

Clear reporting of original studies is an integral part of evidence-based principles, which the basic sciences, including anatomy, have only recently begun to adapt to. Evidence-based anatomy (EBA), is a developing field of anatomical research which employs evidence-based methods such as meta-analyses, systematic reviews, and high-quality original studies. However, there is a lack of standardized reporting checklist within anatomical research, and the Anatomical Quality Assurance (AQUA) Checklist was developed to account for this deficit. The AQUA Checklist serves to guide authors in clear reporting of original anatomical studies and is endorsed by the Federative International Committee for Scientific Publications (FICSP). To assure high quality, comprehensive and unambiguous description of methodology and results, the checklist consists of 29 reporting items that should be addressed by authors of original anatomical studies. The AQUA Checklist has been translated into the Spanish language to remove any language barriers and to allow utilization and reproducibility of Spanish anatomical research. Conforming to the reporting items of the AQUA Checklist will help elevate the standards of future original anatomical research and raise the quality of anatomical studies published in Spanish journals

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