Differences in the incidence and mortality of digestive cancer between Global Cancer Observatory 2020 and Global Burden of Disease 2019.

The burden of digestive cancers is increasing worldwide. The Global Cancer Observatory (GLOBOCAN) 2020 and the Global Burden of Disease (GBD) 2019 are two primary cancer databases, which have a significant impact on policy formulation and resource allocation. We aim to compare the incidence and mortality of digestive cancers between them. Digestive cancer (esophageal, stomach, colorectal, liver, gallbladder and pancreatic cancer) incidence was obtained from the Cancer Today and GBD 2019 result tool. The top five countries with the most or minor difference between GLOBOCAN 2020 and GBD 2019 in age-standardized incidence rates (ASIRs) of digestive cancers were identified. A systematic search on the incidence of specific digestive cancer in selected countries from PubMed and Embase was conducted, and 20 of 281 publications were included. The most significant differences in digestive cancers incidence were commonly found in Asian countries (70%), particularly Indonesia, Vietnam and Myanmar, located in Southeast Asia. The ASIRs for most digestive cancers, except liver cancer, in GLOBOCAN 2020 were higher than those in GBD 2019. Gallbladder cancer had the highest average ratio, followed by liver cancer. The most commonly used standard population was Segi's standard population, followed by the World Health Organization standard population. The data sources nor the processing methods of GLOBOCAN 2020 and GBD 2019 were not similar. Low- and middle-income countries without population-based cancer registries were more likely to have selection bias in data collection and amplify regional variations of etiological factors. Better judgments on the quality of cancer data can be made.

Global burden of 34 cancers among women in 2020 and projections to 2040: Population-based data from 185 countries/territories.

Globally women face inequality in cancer outcomes; for example, smaller improvements in life expectancy due to decreased cancer-related deaths than men (0.5 vs 0.8 years, 1981-2010). However, comprehensive global evidence on the burden of cancer among women (including by reproductive age spectrum) as well as disparities by region, remains limited. This study aimed to address these evidence gaps by considering 34 cancer types in 2020 and their projections for 2040. The cancer burden among women in 2020 was estimated using population-based data from 185 countries/territories sourced from GLOBOCAN. Mortality to Incidence Ratios (MIR), a proxy for survival, were estimated by dividing the age-standardised mortality rates by the age-standardised incidence rates. Demographic projections were performed to 2040. In 2020, there were an estimated 9.3 million cancer cases and 4.4 million cancer deaths globally. Projections showed an increase to 13.3 million (↑44%) and 7.1 million (↑60%) in 2040, respectively, with larger proportional increases in low- and middle-income countries. MIR among women was higher (poorer survival) in rare cancers and with increasing age. Countries with low Human Development Indexes (HDIs) had higher MIRs (69%) than countries with very high HDIs (30%). There was inequality in cancer incidence and mortality worldwide among women in 2020, which will further widen by 2040. Implementing cancer prevention efforts and providing basic cancer treatments by expanding universal health coverage through a human rights approach, expanding early screening opportunities and strengthening medical infrastructure are key to improving and ensuring equity in cancer control and outcomes.

Linking Zetaproteobacterial diversity and substratum type in iron-rich microbial mats from the Lucky Strike hydrothermal field (EMSO-Azores observatory).

Zetaproteobacteria have been reported in different marine and terrestrial environments all over the globe. They play an essential role in marine iron-rich microbial mats, as one of their autotrophic primary producers, oxidizing Fe(II) and producing Fe-oxyhydroxides with different morphologies. Here, we study and compare the Zetaproteobacterial communities of iron-rich microbial mats from six different sites of the Lucky Strike Hydrothermal Field through the use of the Zetaproteobacterial operational taxonomic unit (ZetaOTU) classification. We report for the first time the Zetaproteobacterial core microbiome of these iron-rich microbial mats, which is composed of four ZetaOTUs that are cosmopolitan and essential for the development of the mats. The study of the presence and abundance of different ZetaOTUs among sites reveals two clusters, which are related to the lithology and permeability of the substratum on which they develop. The Zetaproteobacterial communities of cluster 1 are characteristic of poorly permeable substrata, with little evidence of diffuse venting, while those of cluster 2 develop on hydrothermal slabs or deposits that allow the percolation and outflow of diffuse hydrothermal fluids. In addition, two NewZetaOTUs 1 and 2 were identified, which could be characteristic of anthropic iron and unsedimented basalt, respectively. We also report significant correlations between the abundance of certain ZetaOTUs and that of iron oxide morphologies, indicating that their formation could be taxonomically and/or environmentally driven. We identified a new morphology of Fe(III)-oxyhydroxides that we named "corals." Overall, our work contributes to the knowledge of the biogeography of this bacterial class by providing additional data from the Atlantic Ocean, a lesser-studied ocean in terms of Zetaproteobacterial diversity.IMPORTANCEUp until now, Zetaproteobacterial diversity studies have revealed possible links between Zetaproteobacteria taxa, habitats, and niches. Here, we report for the first time the Zetaproteobacterial core microbiome of iron-rich mats from the Lucky Strike Hydrothermal Field (LSHF), as well as two new Zetaproteobacterial operational taxonomic units (NewZetaOTUs) that could be substratum specific. We highlight that the substratum on which iron-rich microbial mats develop, especially because of its permeability to diffuse hydrothermal venting, has an influence on their Zetaproteobacterial communities. Moreover, our work adds to the knowledge of the biogeography of this bacterial class by providing additional data from the hydrothermal vent sites along the Mid-Atlantic Ridge. In addition to the already described iron oxide morphologies, we identify in our iron-rich mats a new morphology that we named corals. Finally, we argue for significant correlations between the relative abundance of certain ZetaOTUs and that of iron oxide morphologies, contributing to the understanding of the drivers of iron oxide production in iron-oxidizing bacteria.

Wildfire-induced increases in photosynthesis in boreal forest ecosystems of North America.

Observations of the annual cycle of atmospheric CO2 in high northern latitudes provide evidence for an increase in terrestrial metabolism in Arctic tundra and boreal forest ecosystems. However, the mechanisms driving these changes are not yet fully understood. One proposed hypothesis is that ecological change from disturbance, such as wildfire, could increase the magnitude and change the phase of net ecosystem exchange through shifts in plant community composition. Yet, little quantitative work has evaluated this potential mechanism at a regional scale. Here we investigate how fire disturbance influences landscape-level patterns of photosynthesis across western boreal North America. We use Alaska and Canadian large fire databases to identify the perimeters of wildfires, a Landsat-derived land cover time series to characterize plant functional types (PFTs), and solar-induced fluorescence (SIF) from the Orbiting Carbon Observatory-2 (OCO-2) as a proxy for photosynthesis. We analyze these datasets to characterize post-fire changes in plant succession and photosynthetic activity using a space-for-time approach. We find that increases in herbaceous and sparse vegetation, shrub, and deciduous broadleaf forest PFTs during mid-succession yield enhancements in SIF by 8-40% during June and July for 2- to 59-year stands relative to pre-fire controls. From the analysis of post-fire land cover changes within individual ecoregions and modeling, we identify two mechanisms by which fires contribute to long-term trends in SIF. First, increases in annual burning are shifting the stand age distribution, leading to increases in the abundance of shrubs and deciduous broadleaf forests that have considerably higher SIF during early- and mid-summer. Second, fire appears to facilitate a long-term shift from evergreen conifer to broadleaf deciduous forest in the Boreal Plain ecoregion. These findings suggest that increasing fire can contribute substantially to positive trends in seasonal CO2 exchange without a close coupling to long-term increases in carbon storage.

[Ranking of immunization programs in Latin America, 2020Ranking dos programas de vacinação na América Latina, 2020]. / Ranking de los programas de vacunación en América Latina, 2020.

Objective: Construct a ranking of national immunization programs in Latin America in 2020 and compare it with the previous year. Methods: Eighteen national immunization programs were evaluated on the basis of public information obtained from official sites of the countries' ministries of health, the World Health Organization, the Pan American Health Organization, the United Nations Children's Fund, and local sources. The ranking was based on the 2020 vaccination schedule for different life stages, special situations, vaccination against influenza, 2019 vaccination coverage, and programmatic aspects. Results: Vaccination coverage decreased in most countries. The average regional declined in 2020, as did the scores for most countries, except Chile and Colombia. Chile leads the ranking, followed by Uruguay, Panama, and Costa Rica. Chile stands out for its full calendar, higher vaccination coverage rates, and programmatic achievements. Conclusions: The lower overall score in 2020 highlights the need to recover the Region's vaccination coverage rates. This analysis seeks to motivate countries to address pending challenges.

Objetivo: Construir e comparar o ranking dos programas nacionais de imunização (PNIs) na América Latina em 2020 com o ano anterior. Métodos: Foram avaliados 18 PNIs com base em informações públicas obtidas de sites oficiais dos ministérios da Saúde dos países, da Organização Mundial da Saúde, da Organização Pan-Americana da Saúde, do Fundo das Nações Unidas para a Infância e de fontes locais. O ranking foi compilado com base no calendário de vacinação de 2020 para diferentes fases da vida, situações especiais, vacinação contra a gripe, cobertura vacinal (CV) de 2019 e aspectos programáticos. Resultados: As CVs diminuíram na maioria dos países. A pontuação média regional e a pontuação da maioria dos países também caíram em 2020, exceto no Chile e na Colômbia. O Chile lidera o ranking, seguido do Uruguai, do Panamá e da Costa Rica, e se destaca por ter um calendário completo, maiores CVs e êxitos programáticos. Conclusões: A pontuação global mais baixa em 2020 destaca a necessidade de recuperar a CV da região. Esta análise busca motivar os países a enfrentar os desafios pendentes.

An integrated buoy-satellite based coastal water quality nowcasting system: India's pioneering efforts towards addressing UN ocean decade challenges.

The Indian coastal waters are stressed due to a multitude of factors, such as the discharge of industrial effluents, urbanization (municipal sewage), agricultural runoff, and river discharge. The coastal waters along the eastern and western seaboard of India exhibit contrasting characteristics in terms of seasonality, the magnitude of river influx, circulation pattern, and degree of anthropogenic activity. Therefore, understanding these processes and forecasting their occurrence is highly necessary to secure the health of coastal waters, habitats, marine resources, and the safety of tourists. This article introduces an integrated buoy-satellite based Water Quality Nowcasting System (WQNS) to address the unique challenges of water quality monitoring in Indian coastal waters and to boost the regional blue economy. The Indian National Centre for Ocean Information Services (INCOIS) has launched a first-of-its-kind WQNS, and positioned the buoys at two important locations along the east (Visakhapatnam) and west (Kochi) coast of India, covering a range of environmental conditions and tourist-intensive zones. These buoys are equipped with different physical-biogeochemical sensors, data telemetry systems, and integration with satellite-based observations for real-time data transmission to land. The sensors onboard these buoys continuously measure 22 water quality parameters, including surface current (speed and direction), salinity, temperature, pH, dissolved oxygen, phycocyanin, phycoerythrin, Coloured Dissolved Organic Matter, chlorophyll-a, turbidity, dissolved methane, hydrocarbon (crude and refined), scattering, pCO2 (water and air), and inorganic macronutrients (nitrite, nitrate, ammonium, phosphate, silicate). This real-time data is transmitted to a central processing facility at INCOIS, and after necessary quality control, the data is disseminated through the INCOIS website. Preliminary results from the WQNS show promising outcomes, including the short-term changes in the water column oxic and hypoxic regimes within a day in coastal waters off Kochi during the monsoon period, whereas effluxing of high levels of CO2 into the atmosphere associated with the mixing of water, driven by local depression in the coastal waters off Visakhapatnam. The system has demonstrated its ability to detect changes in the water column properties due to episodic events and mesoscale processes. Additionally, it offers valuable data for research, management, and policy development related to coastal water quality.

Time troubles: clocks and practices of precision in early eighteenth-century observatories.

In 1736/37, Joseph-Nicolas Delisle and Jean Jacques Dortous de Mairan communicated about the clocks that would enable the astronomers of the Saint Petersburg observatory to make highly exact observations. Delisle, who was in charge of the Saint Petersburg observatory, demanded old-fashioned clocks in the manner of Huygens. Mairan, well-versed in astronomy himself, recommended equation clocks. The article uses these seemingly inappropriate preferences to discuss eighteenth-century notions of accuracy and precision in clocks. It analyses the multiple factors that influenced expectations regarding the performance of timekeeping instruments, and draws attention to handling and monitoring practices. The latter reflected the individual user's purposes and experience, but also affected the clocks' going. Furthermore, the article presents the result of a statistical analysis, which serves to evaluate the historical performance of the Saint Petersburg observatory clocks and provides a foil against which Delisle's judgement of them is examined.

Combining local, landscape, and regional geographies to assess plant community vulnerability to invasion impact.

Invasive species science has focused heavily on the invasive agent. However, management to protect native species also requires a proactive approach focused on resident communities and the features affecting their vulnerability to invasion impacts. Vulnerability is likely the result of factors acting across spatial scales, from local to regional, and it is the combined effects of these factors that will determine the magnitude of vulnerability. Here, we introduce an analytical framework that quantifies the scale-dependent impact of biological invasions on native richness from the shape of the native species-area relationship (SAR). We leveraged newly available, biogeographically extensive vegetation data from the U.S. National Ecological Observatory Network to assess plant community vulnerability to invasion impact as a function of factors acting across scales. We analyzed more than 1000 SARs widely distributed across the USA along environmental gradients and under different levels of non-native plant cover. Decreases in native richness were consistently associated with non-native species cover, but native richness was compromised only at relatively high levels of non-native cover. After accounting for variation in baseline ecosystem diversity, net primary productivity, and human modification, ecoregions that were colder and wetter were most vulnerable to losses of native plant species at the local level, while warmer and wetter areas were most susceptible at the landscape level. We also document how the combined effects of cross-scale factors result in a heterogeneous spatial pattern of vulnerability. This pattern could not be predicted by analyses at any single scale, underscoring the importance of accounting for factors acting across scales. Simultaneously assessing differences in vulnerability between distinct plant communities at local, landscape, and regional scales provided outputs that can be used to inform policy and management aimed at reducing vulnerability to the impact of plant invasions.

A multi-phase approach for developing a conceptual model for human resources for health observatory (HRHO) toward integrating data and evidence: a case study of Iran.

BACKGROUND: Evidence-informed policymaking on human resources for health (HRH) has been directly linked with health system productivity, accessibility, equity, quality, and efficiency. The lack of reliable HRH data has made the task of planning the HRH more difficult in all settings. AIM: This study aimed to develop a conceptual model to integrate HRH data and evidence. METHODS: The current study is a mixed-method study conducted in three phases: a rapid literature review, a qualitative phase, and an expert panel. Firstly, the electronic databases were searched up to 2018. Then, in the qualitative phase, semi-structured interviews with 50 experts were conducted. Data analysis was performed using the content analysis approach. After several expert panels, the draft of the model was validated with 15 key informants via two Delphi rounds. RESULTS: Our proposed model embraces all dominant elements on the demand and supply side of the HRH in Iran. The conceptual model consists of several components, including input (regulatory system, structure, functions), educational system (pre-service and in-service education), health labor market structure, process (technical infrastructure), and output (productions, policymaking process). We considered networking toward sustainable interaction among stakeholders, and also the existence of capacity to integrate HRH information and produce evidence for actions. CONCLUSION: The proposed model can be considered a platform for developing a harmonized system based on the HRH data flow to evidence-informed decision-making via networking. We proposed a step-by-step approach for the sustainability of establishing a national human resources for health observatory (HRHO). The proposed HRHO model can be replicable and flexible enough to be used in different context domains.

Enormously large tippers observed in southwest China: can realistic 3-D EM modeling reproduce them?

Abstract: Vertical magnetic transfer functions (tippers) estimated at a global/continental net of geomagnetic observatories/sites can be used to image the electrical conductivity structure of the Earth's crust and upper mantle (down to around 200 km). We estimated tippers at 54 geomagnetic observatories across China, aiming eventually to invert them in terms of subsurface three-dimensional (3-D) conductivity distribution. Strikingly, we obtained enormously large tippers at three inland observatories in southwest China. Large tippers are often observed at coastal/island observatories due to high conductivity contrasts between resistive bedrock and conductive seawater. However, tippers at those inland observatories appeared to be a few times larger than coastal/island tippers. As far as we know, such large tippers (reaching value 3) were never reported in any region worldwide. We perform electromagnetic simulations in 3-D conductivity models mimicking the geological setting and demonstrate that enormously large tippers are feasible and can be attributed to a current channeling effect.

The World Organisation for Animal Health Observatory: a data-driven approach to address the needs of its Members.

This article reviews the Observatory of the World Organisation for Animal Health (WOAH, founded as OIE), including its objectives, direction and progress achieved so far. It explains the benefits offered by this data-driven programme in improving access to data and information analysis while ensuring confidentiality. In addition, the authors examine the challenges that the Observatory faces and its inextricable link to the Organisation's data management. The development of the Observatory is of the utmost importance, not only for its relevance to the development of WOAH International Standards and their implementation worldwide, but also because of its role as one of the drivers of WOAH's digital transformation plan. This transformation is essential, given the major role of information technologies in supporting regulation for animal health, animal welfare and veterinary public health.

Cet article consacré à l'Observatoire de l'Organisation mondiale de la santé animale (OMSA, fondée en tant qu'OIE) fait le point sur ses objectifs, ses orientations et les accomplissements réalisés à ce jour. Les auteurs expliquent les bénéfices et améliorations apportés par ce programme axé sur les données, en termes à la fois d'accès aux données, d'analyse de l'information et de confidentialité. Ils abordent aussi les défis auxquels l'Observatoire doit faire face et son lien indissociable avec la gestion des données de l'Organisation. Le développement de l'Observatoire revêt une importance fondamentale, non seulement en regard de sa pertinence pour l'élaboration et la mise en oeuvre des normes internationales de l'OMSA partout dans le monde, mais aussi parce qu'il est le moteur de la planification de la transformation numérique de l'OMSA. Cette transformation est cruciale, compte tenu du rôle majeur que jouent les technologies de l'information en appui de la réglementation de la santé animale, du bien-être animal et de la santé publique vétérinaire.

Los autores presentan el Observatorio de la Organización Mundial de Sanidad Animal (OMSA, fundada como OIE), deteniéndose en particular en sus objetivos, su orientación y el camino recorrido hasta ahora. También exponen las ventajas que ofrece este programa centrado en los datos para mejorar tanto el acceso a los datos como los análisis de información, asegurando al mismo tiempo la confidencialidad. Además, examinan las dificultades a que hace frente el Observatorio y el indisociable vínculo que este guarda con la gestión de datos de la Organización. El desarrollo del Observatorio reviste una importancia capital, no solo por su utilidad para la elaboración de las normas internacionales de la OMSA y su aplicación en todo el mundo, sino también porque constituye uno de los motores del plan de transformación digital de la OMSA. Se trata de un proceso de transformación esencial, dada la importante función que cumplen las tecnologías de la información a la hora de regular la sanidad y el bienestar animales y la salud pública veterinaria.

Understanding sovereignty through meteorology: China, Japan, and the dispute over the Qingdao Observatory, 1918-1931.

Concentrating on the Qingdao Observatory, this paper will explore the role of scientific facility in asserting China's sovereignty during the first half of the twentieth century. Although scholars have explained the efforts of China's internationalization in diplomacy through the perspectives of politics, economics and culture, they have not paid attention to science. Therefore, this paper aims to shed some light on how scientific issues were solved via diplomacy during the Republic of China, while further asserting that the focus in negotiations was not confined to science itself, but rather to sovereignty within a scientific context. In this process, the meaning of sovereignty has also been expanded basing on the improvement of nation's scientific capability. Besides, the participation of different actors involved in sovereignty assertion is investigated by this paper. Although the diplomatic negotiation was held at the international level, the local government and scientific community were main promoters in this case, which calls for attention on the various subjects in sovereignty issue. Consequently, this paper argues that Asian countries, such as Republic of China, could also employ science as a means to negotiate with foreign powers and claim their due rights.

Demographic consequences of heterogeneity in conspecific density dependence among mast-fruiting tropical trees.

The role of conspecific density dependence (CDD) in the maintenance of species richness is a central focus of tropical forest ecology. However, tests of CDD often ignore the integrated effects of CDD over multiple life stages and their long-term impacts on population demography. We combined a 10-year time series of seed production, seedling recruitment and sapling and tree demography of three dominant Southeast Asian tree species that adopt a mast-fruiting phenology. We used these data to construct individual-based models that examine the effects of CDD on population growth rates (λ) across life-history stages. Recruitment was driven by positive CDD for all species, supporting the predator satiation hypothesis, while negative CDD affected seedling and sapling growth of two species, significantly reducing λ. This negative CDD on juvenile growth overshadowed the positive CDD of recruitment, suggesting the cumulative effects of CDD during seedling and sapling development has greater importance than the positive CDD during infrequent masting events. Overall, CDD varied among positive, neutral and negative effects across life-history stages for all species, suggesting that assessments of CDD on transitions between just two stages (e.g. seeds seedlings or juveniles mature trees) probably misrepresent the importance of CDD on population growth and stability.

Joint effects of climate, tree size, and year on annual tree growth derived from tree-ring records of ten globally distributed forests.

Tree rings provide an invaluable long-term record for understanding how climate and other drivers shape tree growth and forest productivity. However, conventional tree-ring analysis methods were not designed to simultaneously test effects of climate, tree size, and other drivers on individual growth. This has limited the potential to test ecologically relevant hypotheses on tree growth sensitivity to environmental drivers and their interactions with tree size. Here, we develop and apply a new method to simultaneously model nonlinear effects of primary climate drivers, reconstructed tree diameter at breast height (DBH), and calendar year in generalized least squares models that account for the temporal autocorrelation inherent to each individual tree's growth. We analyze data from 3811 trees representing 40 species at 10 globally distributed sites, showing that precipitation, temperature, DBH, and calendar year have additively, and often interactively, influenced annual growth over the past 120 years. Growth responses were predominantly positive to precipitation (usually over ≥3-month seasonal windows) and negative to temperature (usually maximum temperature, over ≤3-month seasonal windows), with concave-down responses in 63% of relationships. Climate sensitivity commonly varied with DBH (45% of cases tested), with larger trees usually more sensitive. Trends in ring width at small DBH were linked to the light environment under which trees established, but basal area or biomass increments consistently reached maxima at intermediate DBH. Accounting for climate and DBH, growth rate declined over time for 92% of species in secondary or disturbed stands, whereas growth trends were mixed in older forests. These trends were largely attributable to stand dynamics as cohorts and stands age, which remain challenging to disentangle from global change drivers. By providing a parsimonious approach for characterizing multiple interacting drivers of tree growth, our method reveals a more complete picture of the factors influencing growth than has previously been possible.

Comparison of primary liver cancer mortality estimates from World Health Organization, global burden disease and global cancer observatory.

AIMS: This study aims to compare estimates of primary liver cancer mortality from World Health Organization (WHO), Global Burden Disease (GBD) and Global Cancer Observatory (GCO). METHODS: Liver cancer mortality was extracted from WHO, GBD and GCO for 92 countries for the most recent year. Age-standardized rate (ASR) was computed and used for current comparisons across the three data sources. Temporal trend for 75 countries was analysed and compared between WHO and GBD from 1990 to 2019 using joinpoint regression. Average annual percentage change for the most recent 10 years was used as indicator for change. RESULTS: The estimates of ASR were quite consistent across the three data sources, but most similar estimates were found between WHO and GCO in both region and country levels. The differences in ASR were negatively correlated with completeness of cause-of-death registration, human development index and proportion of liver cancer because of alcohol consumption. Consistent trends of ASR were found from 35 countries between WHO and GBD in the most recent 10 years. However, opposite trends were found from 10 countries with five from Southern America, four from Europe and one from Asia. Of the 18 countries for projection, opposite trends between WHO and GBD were found from seven countries. CONCLUSION: While the ASR of primary liver cancer mortality was comparable across the three data sources, most similar estimates were found between WHO and GCO. The opposite trends found from 10 countries between WHO and GBD raised concerns of true patterns in these countries.

Early detection of a tree pathogen using airborne remote sensing.

Native forests of Hawai'i Island are experiencing an ecological crisis in the form of Rapid 'Ohi'a Death (ROD), a recently characterized disease caused by two fungal pathogens in the genus Ceratocystis. Since approximately 2010, this disease has caused extensive mortality of Hawai'i's keystone endemic tree, known as 'ohi'a (Metrosideros polymorpha). Visible symptoms of ROD include rapid browning of canopy leaves, followed by death of the tree within weeks. This quick progression leading to tree mortality makes early detection critical to understanding where the disease will move at a timescale feasible for controlling the disease. We used repeat laser-guided imaging spectroscopy (LGIS) of forests on Hawai'i Island collected by the Global Airborne Observatory (GAO) in 2018 and 2019 to derive maps of foliar trait indices previously found to be important in distinguishing between ROD-infected and healthy 'ohi'a canopies. Data from these maps were used to develop a prognostic indicator of tree stress prior to the visible onset of browning. We identified canopies that were green in 2018, but became brown in 2019 (defined as "to become brown"; TBB), and a corresponding set of canopies that remained green. The data mapped in 2018 showed separability of foliar trait indices between TBB and green 'ohi'a, indicating early detection of canopy stress prior to the onset of ROD. Overall, a combination of linear and non-linear analyses revealed canopy water content (CWC), foliar tannins, leaf mass per area (LMA), phenols, cellulose, and non-structural carbohydrates (NSC) are primary drivers of the prognostic spectral capability which collectively result in strong consistent changes in leaf spectral reflectance in the near-infrared (700-1300 nm) and shortwave-infrared regions (1300-2500 nm). Results provide insight into the underlying foliar traits that are indicative of physiological responses of M. polymorpha trees infected with Ceratocycstis and suggest that imaging spectroscopy is an effective tool for identifying trees likely to succumb to ROD prior to the onset of visible symptoms.

Effects of occupancy estimation on abundance-occupancy relationships.

Abundance-occupancy relationships predict that species that occupy more sites are also more locally abundant, where occupancy is usually estimated following the assumption that species can occupy all sampled sites. Here we use the National Ecological Observatory Network small-mammal data to assess whether this assumption affects abundance-occupancy relationships. We estimated occupancy considering all sampled sites (traditional occupancy) and only the sites found within the species geographic range (spatial occupancy) and realized environmental niche (environmental occupancy). We found that when occupancy was estimated considering only sites possible for the species to colonize (spatial and environmental occupancy) weaker abundance-occupancy relationships were observed. This shows that the assumption that the species can occupy all sampled sites directly affects the assessment of abundance-occupancy relationships. Estimating occupancy considering only sites that are possible for the species to colonize will consequently lead to a more robust assessment of abundance-occupancy relationships.

Jupiter's X-Ray and UV Dark Polar Region.

We present 14 simultaneous Chandra X-ray Observatory (CXO)-Hubble Space Telescope (HST) observations of Jupiter's Northern X-ray and ultraviolet (UV) aurorae from 2016 to 2019. Despite the variety of dynamic UV and X-ray auroral structures, one region is conspicuous by its persistent absence of emission: the dark polar region (DPR). Previous HST observations have shown that very little UV emission is produced by the DPR. We find that the DPR also produces very few X-ray photons. For all 14 observations, the low level of X-ray emission from the DPR is consistent (within 2-standard deviations) with scattered solar emission and/or photons spread by Chandra's Point Spread Function from known X-ray-bright regions. We therefore conclude that for these 14 observations the DPR produced no statistically significant detectable X-ray signature.

[National and regional social observatories of tuberculosis in eight countries in Latin America and the CaribbeanObservatórios sociais nacionais e regional de tuberculose em oito países da América Latina e do Caribe]. / Observatorios sociales nacionales y regional de tuberculosis en ocho países de Latinoamérica y el Caribe.

Ending tuberculosis (TB) requires a multisectoral approach, including participation from organized civil society. With the support of a regional project (OBSERVA TB) financed by the Global Fund, TB social observatories have been created since 2019 in eight countries in Latin America and the Caribbean (Bolivia, Colombia, the Dominican Republic, El Salvador, Guatemala, Haiti, Mexico, and Peru), as well as a regional TB social observatory, as part of implementation of the ENGAGE-TB approach promoted by the World Health Organization. This article presents the implementation model, advances, and challenges of TB social observatories. As of December 2021, 135 civil society organizations in Latin America and the Caribbean were included in the eight observatories. These are spaces that serve as platforms for social surveillance, policy advocacy, and social monitoring of national TB responses, in addition to contributing to ENGAGE-TB indicators related to TB case detection and support during treatment. It is recommended to consolidate and expand the existing observatories, with the participation of other countries in the LAC region.

Acabar com a tuberculose (TB) requer uma abordagem e participação multissetoriais, que incluam a sociedade civil organizada. Com o apoio de um projeto regional financiado pelo Fundo Global (OBSERVA TB), desde 2019 foram formados observatórios sociais de tuberculose em 8 países da América Latina e do Caribe (ALC) ­ Bolívia, Colômbia, El Salvador, Guatemala, Haiti, México, Peru e República Dominicana ­ e um observatório social regional de TB, como expressão da implementação do enfoque ENGAGE-TB promovido pela Organização Mundial da Saúde. Este artigo apresenta o modelo de implementação, os avanços e os desafios dos observatórios sociais de tuberculose. Até dezembro de 2021, 135 organizações da sociedade civil da ALC haviam sido incluídas nos 8 observatórios implementados ­ espaços que servem como plataformas de vigilância social, incidência política e monitoramento social das respostas nacionais contra a TB, além de contribuir com os indicadores do ENGAGE-TB relacionados à detecção de casos e suporte durante o tratamento. Portanto, recomendamos a consolidação e a ampliação dos observatórios existentes, bem como a participação de outros países da ALC.

Field Campaign Evaluation of Sensors Lufft GMX500 and MaxiMet WS100 in Peruvian Central Andes.

The research presents the inter-comparison of atmospheric variables measured by 9 automatic weather stations. This set of data was compared with the measurements of other weather stations in order to standardize the values that must be adjusted when taken to different areas. The data of a set of a total of 9 GMX500, which measures conventional meteorological variables, and 10 WS100 sensors, which measures precipitation parameters. The automatic stations were set up at the Huancayo Observatory (Geophysical Institute of Peru) for a period of 5 months. The data set of GMX500 were evaluated comparing with the average of the 9 sensors and the WS100 was compared with an optical disdrometer Parsivel2. The temperature, pressure, relative humidity, wind speed, rainfall rate, and drop size distribution were evaluated. A pair of GMX500 sensors presented high data dispersion; it was found found that the errors came from a bad configuration; once this problem was solved, good agreement was archived, with low RMSE and high correlation. It was found that the WS100 sensors overestimate the precipitation with a percentage bias close to 100% and the differences increase with the greater intensity of rain. The drop size distribution retrieved by WS100 have unrealistic behavior with higher concentrations in diameters of 1 mm and 5 mm, in addition to a flattened curve.