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Introduction and objective The Interdisciplinary Cardiac Arrest Research Review (ICARE) group was formed in 2018 to conduct an annual search of peer-reviewed literature relevant to cardiac arrest. Now in its third year, the goals of the review are to illustrate best practices in research and help reduce compartmentalization of knowledge by disseminating relevant advances in the interdisciplinary world of cardiac arrest research. This iteration focuses on pharmacology and basic and translational science contributions. Review methods A search was conducted of PubMed using keywords related to cardiac arrest. Titles and abstracts were screened for relevance with a focus on basic science and pharmacology. Screened manuscripts underwent standardized scoring of methodological quality and impact on the respective fields by reviewer teams lead by a subject matter expert editor. Articles scoring higher than 99 percentiles by category were selected for full critique. Systematic differences between editors’ and reviewers’ scores were assessed using Wilcoxon signed-rank test. Brief description of the state of knowledge The top scoring studies centered around attempts at improving neurologic outcome through improved blood flow and reduction of metabolic demand in order to reduce the impact of hypoxia during resuscitation on the brain. Summary The sheer number of articles screened is a testament to the need for an accessible source highlighting highquality and important research. Several high-quality systematic reviews and original research studies have provided a physiologic basis for the treatment of cardiac arrest, and make the case for focused progression of several pharmacologic treatments to larger animal and human trials.

Background: Eponyms are ubiquitous in dermatology; however, their usage trends have not been studied. Objective: To characterize the usage of eponyms in dermatology from 1880 to 2020. Methods: Candidate eponyms were collected from a textbook and an online resource. A subset of these eponyms was deemed to be dermatology-focused by a panel of experienced dermatologists. Python scripts were used to permute eponyms into multiple variations and automatically search PubMed using BioPython’s Entrez library. Results: The dermatologist panel designated 373 of 529 candidate eponyms as dermatology-focused. These eponyms were permuted into 3159 variations and searched in PubMed. The highest occurring dermatology-focused eponyms (DFEs) in the year 2020 included Leishmania, Behçet syndrome, Kaposi sarcoma, Langerhans cell histiocytosis, and Mohs surgery. Increased DFE usage in the general medical literature parallels the overall increase in the use of other eponyms in the medical literature. However, in the most cited dermatology journals, DFE usage did not increase in the past decade. There were several eponyms with decreased usage. Limitations: This study is limited to the publications in PubMed; only titles and abstracts could be queried. Conclusion: DFEs are increasing in usage in the general medical literature, but the usage of eponyms in the most cited dermatology journals has plateaued.

Increasing crop production in a changing climate is one of the challenges facing the agricultural research community. The goal of this study was to identify and evaluate specific determinant traits for improving water stress resiliency of cultivated upland cotton (Gossypium hirsutum L.). Two genotypes (PhytoGen 72 [PHY72] and Stoneville 474 [STV474]) representing different production regions of the US were evaluated for water stress resiliency under greenhouse conditions. More than 20 vegetative and reproductive traits were evaluated through six physiological reproductive stages, from plant emergence to open bolls and under two irrigation levels. Significant differences (p ≤ 0.05) were observed between irrigation levels for most traits within each genotype. PHY72 had rapid increases in plant height under regular water and limited water conditions (RW and LW). RW approximated daily evapotranspiration rates, while LW rate provided 50% less water by mass. However, by the fourth stage, peak blooming, the two genotypes were the same height, indicating that early and rapid vegetative plant growth from emergence to first reproductive stage was not a good indicator of improved growth and boll production under diverse irrigation levels. Some traits, such as leaf temperature, chlorophyll fluorescence yield, leaf and boll number, as well as leaf and reproductive fresh weight, showed clear differences between the two genotypes in one or both irrigation rates. Cotton breeders/geneticists currently cannot predict end‐of‐season productivity based on early‐season evaluations under water stress conditions. Early season, controlled environment screening before field testing may reveal the genetic potential of breeding lines for water stress resiliency. Core Ideas: Different genotypic resources bred for different environments responded differently to simulated drought stress.Leaf temperature, chlorophyll fluorescence yield, leaf and boll number, and leaf and reproductive fresh weight showed clear differences.Early season growth of PhytoGen 72 did not seem to provide any advantages during the reproductive stages of the growing season. Plain Language Summary: Cotton producers in the United States face many challenges like declining land and water resources. Cotton breeding programs are trying to develop new cultivars that can withstand these challenges. Two cultivars from different production regions (far west and midsouth) were evaluated for their response to limited water. Differences between the cultivars response to limited water were observed. The recommendation from this study is to target the traits of leaf temperature, chlorophyll fluorescence yield, number of leaves, flowers, and bolls and plant height for future cotton breeding for water‐limited environments. [ABSTRACT FROM AUTHOR]

Plain Language Summary: Poa annua is a troublesome weed in turfgrass areas such as golf courses, athletic fields, lawns, and sod farms. Controlling P. annua is made more difficult by the growing problem of herbicide resistance, the inherited ability of plants to survive herbicide applications that would normally be lethal. Researchers from 13 academic institutions collected 866 P. annua populations from different states and turfgrass systems to better understand the extent of this problem. Collections were divided and treated with four herbicides and one plant growth regulator. Plants were categorized as “susceptible” or “suspected resistant” based on their response to treatments. Suspected resistance (to at least one or more treatments) was observed in 16.8% of P. annua collections. Herbicide resistance in P. annua is a problem spanning different geographies and management practices. Therefore, coordinated research is needed to explore the scope and nature of the problem in a systematic way. [ABSTRACT FROM AUTHOR]

IntroductionMethodsResultsConclusionDodecafluoropentane emulsion (DDFPe) administration has previously demonstrated improved gas exchange in single-organ perfusion models. This could translate to prevention of brain injury in cardiac arrest.We induced cardiac arrest in 12 pigs, performing CPR after 5-minute downtime. Pigs were randomly assigned to DDFPe (n = 7) or saline placebo (n = 5) groups. Neurologic injury biomarkers were measured at baseline, after return of spontaneous circulation (ROSC), and every 24 hours in survivors. Blinded Neurological Alertness Score, Neurological Dysfunction Score, and Overall Performance Score was performed in addition to histopathological scoring of parietal and hippocampal sections.One placebo and four DDFPe pigs survived the 96-hour observation period. The odds ratio for ROSC was 7.2 (p = 0.22). Survival odds ratio was 4.6 (p = 0.29). All surviving animals had impaired motor responses that recovered by 72 hours. DDFPe animals showed better neuro-behavioral scores than placebo.The findings of this novel study provide a proof of concept and early signal toward efficacy of intravenous DDFPe in cardiac arrest. The trend toward improved ROSC and functional survival may reflect improved microcirculatory gas exchange in DDFPe animals. Improving gas exchange in brain microcirculation during resuscitation from cardiac arrest may provide a significant therapeutic benefit. [ABSTRACT FROM AUTHOR]

Detailed soil property maps are increasingly important for land management decisions and environmental modeling. The US Soil Survey is investing in production of the Soil Landscapes of the United States (SOLUS), a new set of national predictive soil property maps. This paper documents initial 100‐m resolution maps of 20 soil properties that include various textural fractions, physical parameters, chemical parameters, carbon, and depth to restrictions. Many of these properties have not been previously mapped at this resolution. A hybrid training strategy helped increase training data by roughly 10‐fold over previous similar studies by combining commonly used laboratory data with underutilized field descriptions tied to soil survey map unit component property estimates (to help represent within polygon variability) as well as randomly selected soil survey map unit weighted average property estimates. Relative prediction intervals were used to help select which training data sources improved model performance. Conventional and spatial cross‐validation strategies yielded generally strong coefficients of determination between 0.5 and 0.7, but with substantial variability and outliers among the various properties, types of training data, and depths. Internal review of the maps highlighted both strengths and weaknesses of the maps, but most of the critical comments were in areas with high model uncertainty that can be used to guide future improvements. Generally, previously glaciated areas and complex large alluvial basins were harder to model. The new SOLUS 100‐m maps will be updated in the future to address identified issues and feedback as users interact with the data. Core Ideas: A total of 20 soil properties were mapped for conterminous United States at 100‐m resolution.New training data sources improved predictive soil property mapping in areas with previously sparse data.Relative prediction intervals were useful for optimizing training sets and corroborated independent map reviews [ABSTRACT FROM AUTHOR]

In aluminum-clad spent nuclear fuels, an (oxy)hydroxide layer on the surface of the cladding hosts chemisorbed water formed during reactor and post-discharge exposure to water. Any residual water is susceptible to generating hydrogen via radiolysis, which can be a risk associated with dry fuel storage. Engineering-scale forced helium dehydration (FHD) and vacuum drying tests were conducted on mock-up fuel assemblies that included corroded aluminum surrogate plates to assess the removal of bulk and chemisorbed water. Thermogravimetric analysis was performed on samples of the surrogate plates, both undried control samples used to determine onset temperatures associated with a phase change occurring in the oxide layer and samples from drying tests used to determine the effectiveness of each drying method. Both vacuum drying and FHD processes were capable of removing bulk water. However, FHD was determined to provide additional drying capabilities, including partial removal of chemisorbed water from bayerite due to the higher temperatures during drying. The temperature threshold for partial dehydroxylation of the oxide layer was determined to be around 220°C, meaning any drying methods attempting to remove chemisorbed water must exceed 220°C. [ABSTRACT FROM AUTHOR]

Many people involved with the United States criminal legal system have experienced trauma, the long-term effects of which can challenge capacity to recover, often resulting in an increased risk of contact with the criminal legal system. Training programs can help professionals improve their understanding of trauma and implement trauma-informed responses. Limited research exists on the impact of trauma-informed response training for criminal legal professionals (e.g., corrections officers, court personnel, and law enforcement), and less is known about the effectiveness of the train-the-trainer (TTT) model in this context. In this article, we describe a four-phase, mixed-methods evaluation of a trauma-informed response training program delivered in the context of a 16-h TTT event to 28 criminal legal professionals in the southwest United States. We examine pre- and post-training knowledge acquisition, training experience, and impact on participant behaviors and attitudes 60 days post-training. Results provide preliminary support for the positive impact of trauma-informed response training for criminal legal professionals. We discuss future directions for research on the effectiveness of trauma-informed response training for criminal legal professionals, including, critically, whether trauma-informed training contributes to improved outcomes for individuals involved with the criminal legal system. [ABSTRACT FROM AUTHOR]

Abstract In this article, I examine how the apocryphal Acts of John depicts wealthy Christian converts as part of the 'Christianization' of Ephesus. I note how the Acts of John [...]

Technological advancement of vehicle platforms exposes opportunities for new attack paths and vulnerabilities. Static cyber defenses can help mitigate certain attacks, but those attacks must generally be known ahead of time, and the cyber defenses must be hand-crafted by experts. This research explores reinforcement learning (RL) as a path to achieve autonomous, intelligent cyber defense of vehicle control networks—namely, the controller area network (CAN) bus. We train an RL agent for the CAN bus using Toyota’s Portable Automotive Security Testbed with Adaptability (PASTA). We then apply the U.S. Army Combat Capabilities Development Command (DEVCOM) Army Research Laboratory’s methodology for quantitative measurement of cyber resilience to assess the agent’s effect on the vehicle testbed in a contested cyberspace environment. Despite all defenses having similar traditional performance measures, our RL agent averaged a 90% cyber resilience measurement during drive cycles executed on hardware versus 41% for a naïve static timing defense and 98% for the bespoke timing-based defense. Our results also show that an RL-based agent can detect and block injection attacks on a vehicle CAN bus in a laboratory environment with greater cyber resilience than prior learning approaches (1% for convolutional networks and 0% for recurrent networks). With further research, we believe there is potential for using RL in the autonomous intelligent cyber defense agent concept.

The Congo Basin is home to the second largest stretch of continuous tropical forest, but the magnitude of greenhouse fluxes are poorly understood. Here the authors analyze gas samples and find the region is not actually a hotspot of N2O emissions.

While the COVID-19 pandemic has had a detrimental impact on many businesses worldwide, essential businesses, such as grocery stores, continued to operate despite potential disease transmission. Although the principal mode by which people are infected with SARS-CoV-2, the virus that causes COVID-19, is through exposure to respiratory droplets and very small particles carrying infectious virus, contaminated surfaces might play a role in transmission. We collected swab samples from frequently touched surfaces, including grocery carts, touchscreen monitors, credit card keypads, pharmacy counters, self-service food utensils, and refrigerator and freezer handles, in two metro-Atlanta grocery stores over the course of two sampling events in March 2021. Of the 260 swab samples collected, 6 (2.3%) samples were positive for SARS-CoV-2 RNA by reverse transcriptase quantitative polymerase chain reaction. Positive samples were collected from pharmacy (12.0% [3/25] samples), refrigerator/freezer aisles (2.5% [1/39] samples), and self-service food court (5.0% [2/40] samples) areas. Table/counter edge and underside surfaces represented 33% (2/6) of positive samples. These data suggest that risk of exposure to SARS-CoV-2 from frequently touched surfaces in grocery store settings is likely low; however, more frequent cleaning of surfaces in pharmacy and self-service food courts might be warranted.

Tis-Abay Waterfall is a famous tourist destination in northern Ethiopia, attracting both domestic and international visitors. Although the site's recreation and tourism potential are enormous, the value of the waterfall remains underestimated; an application of economic valuation methods can provide information to better utilize the resource. This study estimates the recreational value of Tis-Abay Waterfall and analyzes the consumer characteristics associated with recreational demand. Drawing on data from 1044 on-site surveys, the study uses the Individual Travel Cost Method (ITCM) with a Zero-Truncated Poisson (ZTP) regression model. Results of the ZTP regression suggest that visitors' age, monthly income, and interest in alternative recreation sites like Lake Tana and Gondar Fasiledes Royal Castle are variables significantly and positively related with recreational demand for the Tis-Abay Waterfall. However, visitors' recreational demand is negatively associated with respondents' distance from the site, leisure time, and total cost of site access. The appraisal suggests that the Tis-Abay Waterfall has a significant annual recreational value of $9.5 million. But it also shows that the waterfall's value would increase significantly, up to $17.3 million, with hypothetical quality improvements in the waterfall settings. The value attachment suggests that estimating the recreation value for Tis-Abay Waterfall is a central component in the sustainable use and management of the resource. However, the presence of unfavorable trade-offs with the electric power plant and the inadequate infrastructure and services for reaching the site are major concerns that require immediate attention to make better use of Tis-Abay Waterfall's recreational services.

BackgroundPost-mortem microbial communities are increasingly investigated as proxy evidence for a variety of factors of interest in forensic science. The reported predictive power of the microbial community to determine aspects of the individual’s post-mortem history (e.g., the post-mortem interval) varies substantially among published research. This observed variation is partially driven by the local environment or the individual themselves. In the current study, we investigated the impact of BMI, sex, insect activity, season, repeat sampling, decomposition time, and temperature on the microbial community sampled from donated human remains in San Marcos, TX using a high-throughput gene-fragment metabarcoding approach.Materials and methodsIn the current study, we investigated the impact of BMI, sex, insect activity, season, repeat sampling, decomposition time, and temperature on the microbial community sampled from donated human remains in San Marcos, TX using a high-throughput gene-fragment metabarcoding approach.ResultsWe found that season, temperature at the sampling site, BMI, and sex had a significant effect on the post-mortem microbiome, the presence of insects has a homogenizing influence on the total bacterial community, and that community consistency from repeat sampling decreases as the decomposition process progresses. Moreover, we demonstrate the importance of temperature at the site of sampling on the abundance of important diagnostic taxa.ConclusionThe results of this study suggest that while the bacterial community or specific bacterial species may prove to be useful for forensic applications, a clearer understanding of the mechanisms underpinning microbial decomposition will greatly increase the utility of microbial evidence in forensic casework.

Purpose Caring for critically ill patients requires non-technical skills such as teamwork, communication, and task management. The Behaviorally Anchored Rating Scale (BARS) is a brief tool used to assess non-technical skills. The investigators determined inter- and intra-rater reliability of the BARS when used to assess medical students in simulated scenarios.Method The investigators created simulation scenarios for medical students during their pediatric clerkship. Content experts reviewed video recordings of the simulations and assigned BARS scores for four performance components (Situational Awareness, Decision-Making, Communication, and Teamwork) for the leader and for the team as a whole. Krippendorff’s alpha with ordinal difference was calculated to measure inter- and intra-rater reliability.Results Thirty medical students had recordings available for review. Inter- and intra-rater reliability for performance components were, respectively, Individual Situational Awareness (0.488, 0.638), Individual Decision-Making (0.529, 0.691), Individual Communication (0.347, 0.473), Individual Teamwork (0.414, 0.466), Team Situational Awareness (0.450, 0.593), Team Decision Making (0.423, 0.703), Team Communication (0.256, 0.517), and Team Teamwork (0.415, 0.490).Conclusions The BARS demonstrated limited reliability when assessing medical students during their pediatric clerkship. Given the unique needs of this population, a modified or new objective scoring system for assessing non-technical skills may be needed for medical students.

Abstract Drylands represent more than 41% of the global land surface and are at degradation risk due to land use and climate change. Developing strategies to mitigate degradation and restore drylands in the face of these threats requires an understanding of how drylands are shaped by not only soils and climate, but also geology and geomorphology. However, few studies have completed such a comprehensive analysis that relates spatial variation in plant communities to all aspects of the geologic–geomorphic–edaphic–plant–climate system. The focus of this study is the Colorado Plateau, a high‐elevation dryland in the southwestern United States, which is particularly sensitive to future change due to climate vulnerability and increasing land‐use pressure. Here, we examined 135 long‐term vegetation‐monitoring sites in three national parks and characterized connections between geology, geomorphology, soils, climate, and dryland plant communities. To first understand the geologic and geomorphic influences on soil formation and characteristics, we explore associations between soil pedons, bedrock geology, and geomorphology. Then, we characterize principal axes of variation in plant communities and ascertain controls and linkages between components of the edaphic–geomorphic system and plant community ordinations. Geologic and geomorphic substrate exerted controls on important properties of the soil profile, particularly depth, water‐holding capacity, rockiness, salinity, and fine sands. Ordination identified five distinct plant communities and three primary axes of variation, representing gradients of woody‐ to herbaceous‐dominated communities (Axis 1), saline scrublands to C3 grasslands (Axis 2), and annual to perennial communities (Axis 3). Geology, geomorphology, and soil explained a large proportion of variation in Axis 1 (74%), while climate variables largely explained Axis 2 (68%), and Axis 3 was not well explained by the random forest models. The variables identified as most influential to each axis were, respectively: (1) soil depth; (2) aridity, lithology, and soil salinity; and (3) temperature and precipitation. We posit that Axis 3 represents a land degradation gradient due to historic grazing, likely exacerbated by dry conditions. Results provide a novel framework that links the geologic and geomorphic evolution of landscapes, with the distribution of soils and plant communities that can guide ecosystem management, exemplifying an approach applicable to drylands globally.