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Advancing One Health: Updated core competencies

Abstract One Health recognises the interdependence between the health of humans, animals, plants and the environment. With the increasing inclusion of One Health in multiple global health strategies, the One Health workforce must be prepared to protect and sustain the health and well-being of life on the planet. In this paper, a review of past and currently accepted One Health core competencies was conducted, with competence gaps identified. Here, the Network for Ecohealth and One Health (NEOH) propose updated core competencies designed to simplify what can be a complex area, grouping competencies into three main areas of: Skills; Values and Attitudes; and Knowledge and Awareness; with several layers underlying each. These are intentionally applicable to stakeholders from various sectors and across all levels to support capacity-building efforts within the One Health workforce. The updated competencies from NEOH can be used to evaluate and enhance current curricula, create new ones, or inform professional training programs at all levels, including students, university teaching staff, or government officials as well as continual professional development for frontline health practitioners and policy makers. The competencies are aligned with the new definition of One Health developed by the One Health High-Level Expert Panel (OHHLEP), and when supported by subjectspecific expertise, will deliver the transformation needed to prevent and respond to complex global challenges. One Health Impact Statement Within a rapidly changing global environment, the need for practitioners competent in integrated approaches to health has increased substantially. Narrow approaches may not only limit opportunities for global and local solutions but, initiatives that do not consider other disciplines or social, economic and cultural contexts, may result in unforeseen and detrimental consequences. In keeping with principles of One Health, the Network for Ecohealth and One Health (NEOH) competencies entail a collaborative effort between multiple disciplines and sectors. They focus on enabling practitioners, from any background, at any level or scale of involvement, to promote and support a transformation to integrated health approaches. The updated competencies can be layered with existing disciplinary competencies and used to evaluate and enhance current education curricula, create new ones, or inform professional training programs at all levels-including for students, teachers and government officials as well as continual professional development for frontline health practitioners and policymakers. The competencies outlined here are applicable to all professionals and disciplines who may contribute to One Health, and are complimentary to, not a replacement for, any discipline-specific competencies. We believe the NEOH competencies meet the need outlined by the Quadripartite’s (Food and Agriculture Organisation, United Nations Environment Programme, World Health Organisation, World Organisation for Animal Health) Joint Plan of Action on One Health which calls for cross-sectoral competencies.

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Vagus nerve stimulation-induced cognitive enhancement: Hippocampal neuroplasticity in healthy male rats

BackgroundVagus nerve stimulation (VNS) improves cognition in humans and rodents, but the effects of a single session of VNS on performance and plasticity are not well understood. ObjectiveBehavioral performance and hippocampal (HC) electrophysiology/neurotrophin expression were measured in healthy adult rats after VNS paired training to investigate changes in cognition and synaptic plasticity. MethodsPlatinum/iridium electrodes were surgically implanted around the left cervical branch of the VN of anesthetized male Sprague-Dawley rats (N = 47). VNS (100 μs biphasic pulses, 30 Hz, 0.8 mA) paired Novel Object Recognition (NOR)/Passive Avoidance Task (PAT) were assessed 24 h after training and post-mortem tissue was collected 48 h after VNS (N = 28). Electrophysiology recordings were collected using a microelectrode array system to assess functional effects on HC slices 90 min after VNS (N = 19). Sham received the same treatment without VNS and experimenters were blinded. ResultsStimulated rats exhibited improved performance in NOR (p < 0.05, n = 12) and PAT (p < 0.05, n = 14). VNS enhanced long-term potentiation (p < 0.05, n = 7–12), and spontaneous spike amplitude (p < 0.05, n = 7–12) and frequency (p < 0.05, n = 7–12) in the CA1. Immunohistochemical analysis found increased brain-derived neurotrophic factor expression in the CA1 (p < 0.05, n = 8–9) and CA2 (p < 0.01, n = 7–8). ConclusionThese findings suggest that our VNS parameters promote synaptic plasticity and target the CA1, which may mediate the positive cognitive effects of VNS. This study significantly contributes to a better understanding of VNS mediated HC synaptic plasticity, which may improve clinical utilization of VNS for cognitive enhancement.

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Slitless field spectroscopy for learned simultaneous object detection and recognition

Effective space domain awareness (SDA) requires accurate positions and identities of artificial satellites. These measurements–critical to effective decision making in the high risk on orbit environment–are daunting in the deep space geosynchronous (GEO) regime. Here, distance precludes collection of spatially resolved measurements from ground-based telescopes. Neural networks designed for deep space object detection and spectroscopic positive identification have been shown to be effective tools for these mission critical SDA measurements. In this work we demonstrate the potential of slitless field spectroscopy to provide simultaneous object detection and identification of on orbit assets at GEO. Slitless spectrographs expose the reflection physics needed for spectroscopic positive identification without destroying the spatial information used for object detection. Such systems are compact and hardened in comparison to classic spectrographs, and may be deployed to small telescopes. In this work we present a GPU-accelerated simulation environment for the production of realistic synthetic imagery to support generation of large datasets for deep learning. We establish a baseline for simultaneous detection and identification performance by training convolutional neural networks on synthetic datasets created with this tool. This work reduces risk for initial technology development and dataset collection, and provides constraints to the design and development of slitless spectrograph systems for space domain awareness.

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PMODE I: Design and Development of an Observatory for Characterizing Giant Planet Atmospheres and Interiors

The giant planets of our Solar System are exotic laboratories, enshrouding keys which can be used to decipher planetary formation mysteries beneath their cloudy veils. Seismology provides a direct approach to probe beneath the visible cloud decks, and has long been considered a desirable and effective way to reveal the interior structure. To peer beneath the striking belts and zones of Jupiter and to complement previous measurements—both Doppler and gravimetric—we have designed and constructed a novel instrument suite. This set of instruments is called PMODE—the Planetary Multilevel Oscillations and Dynamics Experiment, and includes a Doppler imager to measure small shifts of the Jovian cloud decks; these velocimetric measurements contain information related to Jupiter’s internal global oscillations and atmospheric dynamics. We present a detailed description of this instrument suite, along with data reduction techniques and preliminary results (as instrumental validation) from a 24-day observational campaign using PMODE on the AEOS 3.6 m telescope atop Mount Haleakalā, Maui, HI during the summer of 2020, including a precise Doppler measurement of the Jovian zonal wind profile. Our dataset provides high sensitivity Doppler imaging measurements of Jupiter, and our independent detection of the well-studied zonal wind profile shows structural similarities to cloud-tracking measurements, demonstrating that our dataset may hold the potential to place future constraints on amplitudes and possible excitation mechanisms for the global modes of Jupiter.

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Ancestry Estimation in Practice

The medicolegal system relies on forensic anthropologists to construct accurate biological profiles from skeletal remainsto narrow the pool of potential missing persons and provide support for positive identifications. The ancestry estimation component of theprofile offers physical descriptions of decedents through a combination of metric analysis and the interpretation of discrete traits believedto correlate with visible physical features. Forensic anthropologists employed in medical examiners’ offices in the United States regularlyconstruct these profiles in casework. However, ancestry estimation methods have been questioned in their ability to accurately describe theracial classification of the deceased. Although validation studies have documented the accuracy of ancestry estimation methods on skeletalcollections, it is unknown how well they operate in forensic casework and the assumption that methods mirror the results observed inacademic research studies remains unproven. In an effort to understand how well methods preform, this research was designed to evaluatethe accuracy ancestry estimation practices within three medical examiners’ offices in the United States. The results show an accuracy rateof 99% among 177 cases when both definitive and ambiguous ancestral and racial terminology was used to describe remains. Becauseunidentified cases lack antemortem information, it remains unknown if the ancestral assessments of the 280 unidentified individualsincluded in this study confer the same level of accuracy shown in resolved cases. The results presented here are informative not only forthe vital statistics obtained, but also for what this data reveals about the factors influencing ancestry estimation in practice.

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Altered hippocampal function and cytokine levels in a rat model of Gulf War illness

AimsGulf War illness (GWI) is a disorder affecting military personnel deployed in the Gulf War (GW) from 1990 to 1991. Here, we will use a rat model of GWI to evaluate hippocampal function and cytokine levels. Materials and methodsRats were exposed to diethyltoluamide and permethrin via dermal absorption and pyridostigmine bromide via gavage with or without a 5-min restraint for 28 days. Immediate and delayed effects of GW chemical exposure were evaluated using electrophysiology to quantitate hippocampal function, behavioral tests to assess cognitive effects and biochemical assays to measure neurotransmitter and cytokine levels. Key findingsBehavioral data revealed a statistically significant increase in motor activity at 3 months following completion of exposures, potentially indicating increased excitability, and/or restlessness. Electrophysiology data revealed statistically significant changes in paired pulse facilitation and input-output function of CA1 hippocampal neurons within 24 h and 3 months following completion of exposures. There was also a statistically significant reduction in the frequency of spontaneous firing activity of hippocampal neurons within 24 h following exposures. Naïve hippocampal slices directly incubated in GW chemicals also resulted in similar changes in electrophysiological parameters. Biochemical measurements revealed reduced hippocampal glutamate level at 3 months post-exposure. Furthermore, there was a statistically significant increase in plasma and hippocampal levels of IL-13, as well as decrease in plasma level of IL-1β. SignificanceOur data support an effect on glutamate signaling within the hippocampus as indicated by changes in PPF and hippocampal level of glutamate, with some activation of T helper type 2 immune response.

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