Clinical Implementation of an AI Early Warning System Algorithm: Lessons Learned.

The Deterioration Index (DI) is an automatic early warning system that utilizes a machine learning algorithm integrated into the electronic health record and was implemented to improve risk stratification of inpatients. Our pilot implementation showed superior diagnostic accuracy than standard care. A score >60 had a specificity of 88.5% and a sensitivity of 59.8% (PPV 0.1758, NPP 0.9817). However, acceptance in the clinical workflow was divided; nurses preferred standard care, while providers found it helpful.

Spatial analysis of aquatic food access can inform nutrition-sensitive policy.

Aquatic foods are critical for food and nutrition security in Malawi, but it is unclear which populations benefit from different aquatic foods and what factors shape food access. Spatial analysis of food flows across value chains from Lake Malawi to domestic consumers shows that usipa (Engraulicypris sardella) reaches more consumers than chambo (Oreochromis karongae) across all Malawi districts, particularly rural populations. Higher number of markets, nutrient content, and overall supply coupled with lower retail prices and volumes make usipa more accessible to consumers than chambo. Spatial analysis of food flows can guide policymakers towards supporting fisheries that reach vulnerable populations and designing interventions that enhance physical and economic access to fish.

Prioritized research recommendations and potential solutions: addressing gaps surrounding dietary supplement ingredients for boosting brain health and optimizing cognitive performance.

In the market of dietary supplements, a low level of certainty exists in the state of the science, coupled with not always knowing what is in the product. Together these issues make weighing benefits/risks difficult and hinder the ability to guide evidence-based practice decisions. The authors sought to identify priorities and develop potential solutions to address research gaps so that information disseminated, can ultimately, be relied upon, when trying to make appropriate and safe decisions. Using a modified-Delphi process, 8 panelists reviewed evidence, provided from systematic review, on dietary supplement ingredients for brain health, and prioritized gaps identified and offered potential solutions. Research gaps specific to dietary supplements research included the need for quality testing of products, the question of bioavailability and absorption of ingredients, and optimal composition and standardization of supplements under investigation. Other gaps related to populations studied; a general sense of bias towards focusing research on diseased rather than maintaining or optimizing performance in healthy populations. Additionally, the lack of uniform cognitive performance measures and metrics used across research is a gap, as well as whether the metrics are accurate representations of or even generalizable to "real-life" participants wishing to optimize their performance. Methodological quality and ethical concerns in the conduct and reporting of science encompass all issues. If resources map to potential solutions outlined in this paper, then these proposed next steps offered will help facilitate meaningful research, move evidence into practice recommendations, and ultimately develop better decision-making tools for consumers to trust and rely upon for making safe supplement decisions.

Nasalance in adolescents with autism spectrum disorders.

Purpose: Listener judgments indicate atypical nasal resonance in individuals with Autism Spectrum Disorders (ASD); however, listener perceptions are susceptible to bias and may give unreliable information about a speaker's production of nasal resonance. The current study used Nasometry to obtain an objective estimation of nasal resonance among adolescents with ASD and neurotypical controls.Method: The Nasometer II 6450 (PENTAX Medical, Lincoln Park, New Jersey) was used to collect nasalance from adolescents aged 15-17 years with ASD (n = 11) and matched controls (n = 11) across two separate speech tasks: (1) passage reading and (2) spontaneous speech.Result: Adolescents with ASD evidenced significantly higher nasalance scores compared to controls, particularly in the passage loaded with bilabial plosives and some nasals (Bobby) as well as non-nasal words extracted from spontaneous speech. In addition, adolescents with ASD had significantly higher nasalance ratios than controls. Significant group differences were driven by a subset of participants with ASD.Conclusion: Perceptual judgements of nasality noted in previous autism studies are quantified by an increase in nasal energy compared to oral energy. The current data suggest hypernasality is present in a subset of people with ASD rather than being a general feature of speech in autism.

Cognitive Agility as a Factor in Human Performance Optimization.

Cognitive agility reflects the capacity of an individual to easily move back and forth between openness and focus. The concept is being translated into a tool to help train leaders to perform well in the "dynamic decision-making context." Cognitive agility training (CAT) has the potential to increase emotional intelligence by improving an individual's ability to toggle between highly focused states to levels of broad, outward awareness, which should enable dynamic decision-making and enhance personal communication skills. Special Operations Forces (SOF) Operators must work in rapidly evolving, complex environments embedded with multiple high-risk factors. Generally, success in these operational environments requires the ability to maintain highly focused states. However, SOF Operators must also be able to transition rapidly back to their roles within their families, where a more outwardly aware state is needed to allow flexibility in emotional responses. CAT addresses these seemingly conflicting requirements. Successful CAT must reflect the methodologies and culture already familiar within the SOF community (i.e., "live" scenario-based activities) to replicate challenges they may encounter when operationally deployed and when at home. This article provides an overview of cognitive agility, the potential benefits, applications that could be used for training SOF Operators to improve their cognitive agility to optimize performance, and sample training scenarios. The issue of what metrics to use is also discussed.

Minimizing opportunity costs to aquatic connectivity restoration while controlling an invasive species.

Controlling invasive species is critical for conservation but can have unintended consequences for native species and divert resources away from other efforts. This dilemma occurs on a grand scale in the North American Great Lakes, where dams and culverts block tributary access to habitat of desirable fish species and are a lynchpin of long-standing efforts to limit ecological damage inflicted by the invasive, parasitic sea lamprey (Petromyzon marinus). Habitat restoration and sea-lamprey control create conflicting goals for managing aging infrastructure. We used optimization to minimize opportunity costs of habitat gains for 37 desirable migratory fishes that arose from restricting sea lamprey access (0-25% increase) when selecting barriers for removal under a limited budget (US$1-105 million). Imposing limits on sea lamprey habitat reduced gains in tributary access for desirable species by 15-50% relative to an unconstrained scenario. Additional investment to offset the effect of limiting sea-lamprey access resulted in high opportunity costs for 30 of 37 species (e.g., an additional US$20-80 million for lake sturgeon [Acipenser fulvescens]) and often required ≥5% increase in sea-lamprey access to identify barrier-removal solutions adhering to the budget and limiting access. Narrowly distributed species exhibited the highest opportunity costs but benefited more at less cost when small increases in sea-lamprey access were allowed. Our results illustrate the value of optimization in limiting opportunity costs when balancing invasion control against restoration benefits for diverse desirable species. Such trade-off analyses are essential to the restoration of connectivity within fragmented rivers without unleashing invaders.

Conserving rare species can have high opportunity costs for common species.

Conservation practitioners face difficult choices in apportioning limited resources between rare species (to ensure their existence) and common species (to ensure their abundance and ecosystem contributions). We quantified the opportunity costs of conserving rare species of migratory fishes in the context of removing dams and retrofitting road culverts across 1,883 tributaries of the North American Great Lakes. Our optimization models show that maximizing total habitat gains across species can be very efficient in terms of benefits achieved per dollar spent, but disproportionately benefits common species. Conservation approaches that target rare species, or that ensure some benefits for every species (i.e., complementarity) enable strategic allocation of resources among species but reduce aggregate habitat gains. Thus, small habitat gains for the rarest species necessarily come at the expense of more than 20 times as much habitat for common ones. These opportunity costs are likely to occur in many ecosystems because range limits and conservation costs often vary widely among species. Given that common species worldwide are declining more rapidly than rare ones within major taxa, our findings provide incentive for triage among multiple worthy conservation targets.