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Monitoring the governance and management effectiveness of area-based conservation has long been recognized as an important foundation for achieving national and global biodiversity goals and enabling adaptive management. However, there are still many barriers that prevent conservation actors, including those affected by governance and management systems from implementing conservation activities and programs and from gathering and using data on governance and management to inform decision-making across spatial scales and through time. We explored current and past efforts to assess governance and management effectiveness and barriers actors face in using the resulting data and insights to inform conservation decision-making. To help overcome these barriers, we developed Elinor, a free and open-source monitoring tool that builds on the work of Nobel Prize winner Elinor Ostrom to facilitate the gathering, storing, sharing, analyzing, and use of data on environmental governance and management across spatial scales and for areas under different governance and management types. We consider the process of codesigning and piloting Elinor with conservation scientists and practitioners and the main components of the assessment and online data system. We also consider how Elinor complements existing approaches by addressing governance and management in a single assessment at a high level for different types of area-based conservation, providing flexible options for data collection, and integrating a data system with an assessment that can support data use and sharing across different spatial scales, including global monitoring of the Global Biodiversity Framework. Although challenges will continue, the process of developing Elinor and the tool itself offer tangible solutions to barriers that prevent the systematic collection and use of governance and management data. With broader uptake, Elinor can play a valuable role in enabling more effective, inclusive, and durable area-based conservation.
Introducción de Elinor para el monitoreo de la gobernanza y la gestión de la conservación con base en zonas geográficas Resumen El monitoreo de la efectividad de la gobernanza y de la gestión de la conservación basada en zonas geográficas ha sido reconocido durante mucho tiempo como una base importante para alcanzar las metas nacionales y mundiales de la biodiversidad y permitir un manejo adaptativo. Sin embargo, todavía existen barreras que evitan que los actores de la conservación, incluidos aquellos afectados por los sistemas de gobernanza y gestión, implementen actividades y programas de conservación y recopilen y usen datos de la gobernanza y la gestión para informar las decisiones a lo largo de las escalas espaciales y a través del tiempo. Exploramos los esfuerzos hechos en la actualidad y en el pasado para evaluar la efectividad de la gobernanza y la gestión así como las barreras que los actores enfrentan al usar los datos y el conocimiento resultantes para informar la toma de decisiones de conservación. Para ayudar a derribar estas barreras desarrollamos Elinor, una herramienta de monitoreo gratuita y de software libre que parte del trabajo de la ganadora del Premio Nobel Elinor Ostrom, para facilitar la recopilación, almacenamiento, divulgación, análisis y uso de los datos sobre la gobernanza y la gestión ambiental en las escalas espaciales y para las zonas con diferentes tipos de gobernanza y gestión. Planteamos codiseñar y pilotear Elinor con los científicos y practicantes de la conservación y usando los componentes principales del sistema de evaluación y de datos en línea. También planteamos cómo Elinor complementa las estrategias existentes al abordar la gobernanza y la gestión en una sola evaluación a un nivel elevado para diferentes tipos de conservación basada en zonas geográficas, lo que proporciona opciones flexibles para la colecta de datos, e integramos un sistema de datos con una evaluación que soporta el uso y divulgación de datos en diferentes escalas espaciales, incluido el Marco Mundial para la Biodiversidad. Aunque los retos seguirán existiendo, el proceso de desarrollo de Elinor y la propia herramienta ofrecen soluciones tangibles a las barreras que previenen la colecta sistemática y el uso de datos de la gobernanza y la gestión. Con una mayor aceptación, Elinor puede tener un papel importante en el momento de hacer posible una conservación basada en zonas geográficas más eficaz, integradora y duradera.
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Conservação dos Recursos Naturais , Política Ambiental , Conservação dos Recursos Naturais/métodos , Tomada de Decisões , Biodiversidade , Coleta de DadosRESUMO
Evidence-informed decision-making aims to deliver effective actions informed by the best available evidence. Given the large quantity of primary literature, and time constraints faced by policy-makers and practitioners, well-conducted evidence reviews can provide a valuable resource to support decision-making. However, previous research suggests that some evidence reviews may not be sufficiently reliable to inform decisions in the environmental sector due to low standards of conduct and reporting. While some evidence reviews are of high reliability, there is currently no way for policy-makers and practitioners to quickly and easily find them among the many lower reliability ones. Alongside this lack of transparency, there is little incentive or support for review authors, editors and peer-reviewers to improve reliability. To address these issues, we introduce a new online, freely available and first-of-its-kind evidence service: the Collaboration for Environmental Evidence Database of Evidence Reviews (CEEDER: www.environmentalevidence.org/ceeder). CEEDER aims to transform communication of evidence review reliability to researchers, policy-makers and practitioners through independent assessment of key aspects of the conduct, reporting and data limitations of available evidence reviews claiming to assess environmental impacts or the effectiveness of interventions relevant to policy and practice. At the same time, CEEDER will provide support to improve the standards of future evidence reviews and support evidence translation and knowledge mobilisation to help inform environmental decision-making.
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Seafood mislabeling is common in both domestic and international markets. Studies on seafood fraud often report high rates of mislabeling (e.g., >70%), but these studies have been limited to a single sampling year, which means it is difficult to assess the impact of stricter governmental truth-in-labeling regulations. We used DNA barcoding to assess seafood labeling in 26 sushi restaurants in Los Angeles over 4 years. Seafood from 3 high-end grocery stores were also sampled (n = 16) in 2014. We ordered 9 common sushi fish from menus, preserved tissue samples in 95% ethanol, extracted the genomic DNA, amplified and sequenced a portion of the mtDNA COI gene, and identified the resulting sequence to known fish sequences from the National Center for Biotechnology Information nucleotide database. We compared DNA results with the U.S. Food and Drug Administration (FDA) list of acceptable market names and retail names. We considered sushi-sample labels that were inconsistent with FDA names mislabeled. Sushi restaurants had a consistently high percentage of mislabeling (47%; 151 of 323) from 2012 to 2015, yet mislabeling was not homogenous across species. Halibut, red snapper, yellowfin tuna, and yellowtail had consistently high (<77%) occurrences of mislabeling on menus, whereas mislabeling of salmon and mackerel were typically low (>15%). All sampled sushi restaurants had at least one case of mislabeling. Mislabeling of sushi-grade fish from high-end grocery stores was also identified in red snapper, yellowfin tuna, and yellowtail, but at a slightly lower frequency (42%) than sushi restaurants. Despite increased regulatory measures and media attention, we found seafood mislabeling continues to be prevalent.
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Código de Barras de DNA Taxonômico , Rotulagem de Alimentos , Restaurantes , Alimentos Marinhos , Animais , Conservação dos Recursos Naturais , Los AngelesRESUMO
Morel-Lavallee lesions are uncommon injuries and there is a lack of data to support what the most effective management is. In the case of a young athlete with a small lesion, we propose that conservative treatment with rest and close follow up is appropriate.
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Ulnar collateral ligament (UCL) injuries commonly occur in overhead athletes as a result of excess valgus stress on the elbow and can be functionally debilitating, requiring surgical intervention. Since the advent of the first initial UCL reconstruction technique pioneered by Dr. Frank Jobe performed on professional baseball player Tommy John, UCL, or Tommy John Ligament reconstruction has successfully returned athletes to sport following injury and shown enhanced clinical outcomes with minimal complication rates. Tommy John surgery continues to evolve with the development of various techniques over recent years. This technical note describes a UCL repair with an internal brace using knotless suture anchors and aims to contribute to the current literature a technique that is efficacious and reproducible and offers satisfactory stability, functionality, and return to play.
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Key Clinical Message: We present a case of lateral knee pain from snapping of an accessory tendinous insertion of the biceps femoris. After failure of conservative treatment options, tenodesis of the accessory band to the direct arm insertion at the posterolateral edge of the fibular head effectively resolved symptoms. Abstract: There are several distinct causes of lateral knee pain including IT band syndrome, meniscus tears, or other soft tissue pathologies; however, a few case reports have shown the biceps femoris as a cause of lateral knee pain and snapping. Conservative treatment is of modest benefit to the patient in these scenarios, and an MRI is not always able to identify the accessory band, as in our case. Intraoperatively, we discovered an accessory band of the biceps femoris attaching to the anterolateral tibia, causing pain and snapping during knee flexion as the band passed over the fibular head. There have been various surgical attempts to address this pathology; however, we report a successful outcome after tenodesis of the accessory band to the direct insertion at the posterolateral fibular head.
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OBJECTIVES: Adaptive platforms allow for the evaluation of multiple interventions at a lower cost and have been growing in popularity, especially during the COVID-19 pandemic. The objective of this review is to summarize published platform trials, examine specific methodological design features among these studies, and hopefully aid readers in the evaluation and interpretation of platform trial results. METHODS: We performed a systematic review of EMBASE, MEDLINE, Cochrane Central Register of Controlled Trials (CENTRAL), and clinicaltrials.gov from January 2015 to January 2022 for protocols or results of platform trials. Pairs of reviewers, working independently and in duplicate, collected data on trial characteristics of trial registrations, protocols, and publications of platform trials. We reported our results using total numbers and percentages, as well as medians with interquartile range (IQR) when appropriate. RESULTS: We identified 15,277 unique search records and screened 14,403 titles and abstracts after duplicates were removed. We identified 98 unique randomized platform trials. Sixteen platform trials were sourced from a systematic review completed in 2019, which included platform trials reported prior to 2015. Most platform trials (n = 67, 68.3%) were registered between 2020 and 2022, coinciding with the COVID-19 pandemic. The included platform trials primarily recruited or plan to recruit patients from North America or Europe, with most subjects being recruited from the United States (n = 39, 39.7%) and the United Kingdom (n = 31, 31.6%). Bayesian methods were used in 28.6% (n = 28) of platform RCTs and frequentist methods in 66.3% (n = 65) of trials, including 1 (1%) that used methods from both paradigms. Out of the twenty-five trials with peer-reviewed publication of results, seven trials used Bayesian methods (28%), and of those, two (8%) used a predefined sample size calculation while the remainder used pre-specified probabilities of futility, harm, or benefit calculated at (pre-specified) intervals to inform decisions about stopping interventions or the entire trial. Seventeen (68%) peer-reviewed publications used frequentist methods. Out of the seven published Bayesian trials, seven (100%) reported thresholds for benefit. The threshold for benefit ranged from 80% to >99%. CONCLUSION: We identified and summarized key components of platform trials, including the basics of the methodological and statistical considerations. Ultimately, improving standardization and reporting in platform trials require an understanding of the current landscape. We provide the most updated and rigorous review of platform trials to date.
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COVID-19 , Pandemias , Humanos , Teorema de Bayes , COVID-19/epidemiologia , Europa (Continente) , Reino UnidoRESUMO
Accumulating research suggests that stressful life events, especially those that threaten close intimate bonds, are associated with an increased risk of dementia. Grieving the loss of a spouse, whether in the form of caregiving or after the death, ranks among 'life's most significant stressors', evoking intense psychological and physiological distress. Despite numerous studies reporting elevated dementia risk or poorer cognition among spousal caregivers and widow(er)s compared to controls, no review has summarized findings across cognitive outcomes (i.e., dementia incidence, cognitive impairment rates, cognitive performance) or proposed a theoretical model for understanding the links between partner loss and abnormal cognitive decline. The current systematic review summarizes findings across 64 empirical studies. Overall, both cross-sectional and longitudinal studies revealed an adverse association between partner loss and cognitive outcomes. In turn, we propose a biopsychosocial model of cognitive decline that explains how caregiving and bereavement may position some to develop cognitive impairment or Alzheimer's disease and related dementias. More longitudinal studies that focus on the biopsychosocial context of caregivers and widow(er)s are needed.
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Demência , Viuvez , Idoso , Cuidadores/psicologia , Cognição , Estudos Transversais , Feminino , HumanosRESUMO
As clinical trial complexity has increased over the past decade, using electronic methods to simplify recruitment and data management have been investigated. In this study, the Optum Digital Research Network (DRN) has demonstrated the use of electronic source (eSource) data to ease subject identification, recruitment burden, and used data extracted from electronic health records (EHR) to load to an electronic data capture (EDC) system. This study utilized electronic Informed Consent, electronic patient reported outcomes (SF-12) and included three sites using 3 different EHR systems. Patients with type 2 diabetes with an HbA1c ≥ 7.0% treated with metformin monotherapy were recruited. Endpoints consisted of changes in HbA1c, medications, and quality of life measures over 12-weeks of study participation using data from the subjects' eSources listed above. The study began in June of 2020 and the last patient last visit occurred in January of 2021. Forty-eight participants were consented and enrolled. HbA1c was repeated for 33 and ePRO was obtained from all subjects at baseline and 28 at 12-week follow-up. Using eSource data eliminated transcription errors. Medication changes, healthcare encounters and lab results were identified when they occurred in standard clinical practice from the EHR systems. Minimal data transformation and normalization was required. Data for this observational trial where clinical outcomes are available using lab results, diagnoses, and encounters may be achieved via direct access to eSources. This methodology was successful and could be expanded for larger trials and will significantly reduce staff effort and exemplified clinical research as a care option.
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Background: Natural climate solutions (NCS)-actions to conserve, restore, and modify natural and modified ecosystems to increase carbon storage or avoid greenhouse gas (GHG) emissions-are increasingly regarded as important pathways for climate change mitigation, while contributing to our global conservation efforts, overall planetary resilience, and sustainable development goals. Recently, projections posit that terrestrial-based NCS can potentially capture or avoid the emission of at least 11 Gt (gigatons) of carbon dioxide equivalent a year, or roughly encompassing one third of the emissions reductions needed to meet the Paris Climate Agreement goals by 2030. NCS interventions also purport to provide co-benefits such as improved productivity and livelihoods from sustainable natural resource management, protection of locally and culturally important natural areas, and downstream climate adaptation benefits. Attention on implementing NCS to address climate change across global and national agendas has grown-however, clear understanding of which types of NCS interventions have undergone substantial study versus those that require additional evidence is still lacking. This study aims to conduct a systematic map to collate and describe the current state, distribution, and methods used for evidence on the links between NCS interventions and climate change mitigation outcomes within tropical and sub-tropical terrestrial ecosystems. Results of this study can be used to inform program and policy design and highlight critical knowledge gaps where future evaluation, research, and syntheses are needed. Methods: To develop this systematic map, we will search two bibliographic databases (including 11 indices) and 67 organization websites, backward citation chase from 39 existing evidence syntheses, and solicit information from key informants. All searches will be conducted in English and encompass subtropical and tropical terrestrial ecosystems (forests, grasslands, mangroves, agricultural areas). Search results will be screened at title and abstract, and full text levels, recording both the number of excluded articles and reasons for exclusion. Key meta-data from included articles will be coded and reported in a narrative review that will summarize trends in the evidence base, assess gaps in knowledge, and provide insights for policy, practice, and research. The data from this systematic map will be made open access. Supplementary Information: The online version contains supplementary material available at 10.1186/s13750-022-00268-w.
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The fluid nature of the ocean, combined with planktonic dispersal of marine larvae, lowers physical barriers to gene flow. However, divergence can still occur despite gene flow if strong selection acts on populations occupying different ecological niches. Here, we examined the population genomics of an ectoparasitic snail, Coralliophila violacea (Kiener 1836), that specializes on Porites corals in the Indo-Pacific. Previous genetic analyses revealed two sympatric lineages associated with different coral hosts. In this study, we examined the mechanisms promoting and maintaining the snails' adaptation to their coral hosts. Genome-wide single nucleotide polymorphism (SNP) data from type II restriction site-associated DNA (2b-RAD) sequencing revealed two differentiated clusters of C. violacea that were largely concordant with coral host, consistent with previous genetic results. However, the presence of some admixed genotypes indicates gene flow from one lineage to the other. Combined, these results suggest that differentiation between host-associated lineages of C. violacea is occurring in the face of ongoing gene flow, requiring strong selection. Indeed, 2.7% of all SNP loci were outlier loci (73/2,718), indicative of divergence with gene flow, driven by adaptation of each C. violacea lineage to their specific coral hosts.
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BACKGROUND: Understanding how the conservation of nature can lead to improvement in human conditions is a research area with significant growth and attention. Progress towards effective conservation requires understanding mechanisms for achieving impact within complex social-ecological systems. Causal models are useful tools for defining plausible pathways from conservation actions to impacts on nature and people. Evaluating the potential of different strategies for delivering co-benefits for nature and people will require the use and testing of clear causal models that explicitly define the logic and assumptions behind cause and effect relationships. OBJECTIVES AND METHODS: In this study, we outline criteria for credible causal models and systematically evaluated their use in a broad base of literature (~1,000 peer-reviewed and grey literature articles from a published systematic evidence map) on links between nature-based conservation actions and human well-being impacts. RESULTS: Out of 1,027 publications identified, only ~20% of articles used any type of causal models to guide their work, and only 14 total articles fulfilled all criteria for credibility. Articles rarely tested the validity of models with empirical data. IMPLICATIONS: Not using causal models risks poorly defined strategies, misunderstanding of potential mechanisms for affecting change, inefficient use of resources, and focusing on implausible efforts for achieving sustainability.
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Conservação de Recursos Energéticos , Ecossistema , Modelos Teóricos , HumanosRESUMO
The United States is the world's largest fish importer. Recent reports, however, indicate that 25-30% of wild-caught seafood imported into the US is illegally caught, heightening concerns over the country's significant role in driving Illegal, Unreported, and Unregulated (IUU) fishing. In January 2017, NOAA enacted the Seafood Import Monitoring Program in an effort to combat IUU fishing through mandating improved seafood traceability requirements. This program requires reporting of fisheries data from harvest to arrival at the US border. Given the role of the US as a major global importer of seafood, this regulation could be a transformative action on fisheries worldwide if implementation includes two key components-(1) applying best available and most appropriate technologies and (2) building monitoring and enforcement capacity among trading nations. This paper provides insightful commentary on the potential for this US policy to lead by example and improve an essential natural resource that over a billion people worldwide depend on for nutrition and livelihoods.
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Conservação dos Recursos Naturais , Pesqueiros , Peixes/classificação , Alimentos Marinhos , Animais , Comércio , Regulamentação GovernamentalRESUMO
Gestural displays are incorporated into the signaling repertoire of numerous animal species. These displays range from complex signals that involve impressive and challenging maneuvers, to simpler displays or no gesture at all. The factors that drive this evolution remain largely unclear, and we therefore investigate this issue in New World blackbirds by testing how factors related to a species' geographical distribution and social mating system predict macro-evolutionary patterns of display elaboration. We report that species inhabiting temperate regions produce more complex displays than species living in tropical regions, and we attribute this to (i) ecological factors that increase the competitiveness of the social environment in temperate regions, and (ii) different evolutionary and geological contexts under which species in temperate and tropical regions evolved. Meanwhile, we find no evidence that social mating system predicts species differences in display complexity, which is consistent with the idea that gestural displays evolve independently of social mating system. Together, these results offer some of the first insight into the role played by geographic factors and evolutionary context in the evolution of the remarkable physical displays of birds and other vertebrates.
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Evolução Biológica , Ecologia , Vertebrados , Animais , Geografia , Comportamento SocialRESUMO
BACKGROUND: Bladder cancer is common disease with a complex etiology that is likely due to many different genetic and environmental factors. The goal of this study was to embrace this complexity using a bioinformatics analysis pipeline designed to use machine learning to measure synergistic interactions between single nucleotide polymorphisms (SNPs) in two genome-wide association studies (GWAS) and then to assess their enrichment within functional groups defined by Gene Ontology. The significance of the results was evaluated using permutation testing and those results that replicated between the two GWAS data sets were reported. RESULTS: In the first step of our bioinformatics pipeline, we estimated the pairwise synergistic effects of SNPs on bladder cancer risk in both GWAS data sets using Multifactor Dimensionality Reduction (MDR) machine learning method that is designed specifically for this purpose. Statistical significance was assessed using a 1000-fold permutation test. Each single SNP was assigned a p-value based on its strongest pairwise association. Each SNP was then mapped to one or more genes using a window of 500 kb upstream and downstream from each gene boundary. This window was chosen to capture as many regulatory variants as possible. Using Exploratory Visual Analysis (EVA), we then carried out a gene set enrichment analysis at the gene level to identify those genes with an overabundance of significant SNPs relative to the size of their mapped regions. Each gene was assigned to a biological functional group defined by Gene Ontology (GO). We next used EVA to evaluate the overabundance of significant genes in biological functional groups. Our study yielded one GO category, carboxy-lysase activity (GO:0016831), that was significant in analyses from both GWAS data sets. Interestingly, only the gamma-glutamyl carboxylase (GGCX) gene from this GO group was significant in both the detection and replication data, highlighting the complexity of the pathway-level effects on risk. The GGCX gene is expressed in the bladder, but has not been previously associated with bladder cancer in univariate GWAS. However, there is some experimental evidence that carboxy-lysase activity might play a role in cancer and that genes in this pathway should be explored as drug targets. This study provides a genetic basis for that observation. CONCLUSIONS: Our machine learning analysis of genetic associations in two GWAS for bladder cancer identified numerous associations with pairs of SNPs. Gene set enrichment analysis found aggregation of risk-associated SNPs in genes and significant genes in GO functional groups. This study supports a role for decarboxylase protein complexes in bladder cancer susceptibility. Previous research has implicated decarboxylases in bladder cancer etiology; however, the genes that we found to be significant in the detection and replication data are not known to have direct influence on bladder cancer, suggesting some novel hypotheses. This study highlights the need for a complex systems approach to the genetic and genomic analysis of common diseases such as cancer.
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Paper-based systems have been widely investigated for developing point-of-care devices because of their simplicity, affordability, and ease of use. Recent advances have resulted in paper systems that have progressed beyond the historical "single-strip" format and allow for a larger range of functions. This review provides a summary of the advances that have been made to improve the utility of paper-based diagnostic tests for biosensing. Specifically, techniques for designing paper devices, including different geometries and chemical patterning to control fluid flow, are discussed. This review also examines novel approaches to improve paper-based assay sensitivities, such as sample preconcentration, signal amplification at the detection zone, and electrochemical methods.