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Introduction The effectiveness of the passive case detection (PCD) system for imported malaria was assessed in government hospitals in Sri Lanka post-elimination of malaria. Methods In 18 medical wards (test wards) in four government hospitals, the referral for malaria testing and the diagnosis of malaria by the ward physicians were monitored. Concurrently, in-ward febrile patients were assessed independently for their eligibility for referral for malaria diagnosis and were tested for malaria. The malaria incidence in 16 other wards (control wards), which the study did not screen, served as controls. Results Four imported malaria patients were diagnosed within the PCD system among 25 874 febrile patients admitted during the 14-month study period, two of whom were diagnosed in the test wards and two in the control wards. The study's screening programme did not detect any more malaria patients than detected by the routine PCD system of the wards. However, far fewer patients were screened for malaria (1.3%) than were eligible for screening (29.4%), and some infections were detected incidentally, rather than by a request for a malaria test. Conclusion A continuous effort to maintain awareness of the disease among physicians would be required if the PCD system is to be effective for the detection of imported malaria, post-elimination.

Background: In special circumstances, establishing public private partnerships for malaria elimination may achieve targets faster than the state sector acting by itself. Following the end of the separatist war in Sri Lanka in 2009, the Anti Malaria Campaign (AMC) of Sri Lanka intensified malaria surveillance jointly with a private sector partner, Tropical and Environmental Diseases and Health Associates Private Limited (TEDHA) with a view to achieving malaria elimination targets by 2014. Methods: This is a case study on how public private partnerships can be effectively utilized to achieve malaria elimination goals. TEDHA established 50 Malaria Diagnostic Laboratories and 17 entomology surveillance sentinel sites in consultation with the AMC in areas difficult to access by government officials (five districts in two provinces affected by war). Results: TEDHA screened 994,448 individuals for malaria, of which 243,867 were screened at mobile malaria clinics as compared to 1,102,054 screened by the AMC. Nine malaria positives were diagnosed by TEDHA, while the AMC diagnosed 103 malaria cases in the same districts in parallel. Over 13,000 entomological activity days were completed. Relevant information was shared with AMC and the data recorded in the health information system. Conclusions: A successful public-private partnership model for malaria elimination was initiated at a time when the health system was in disarray in war ravaged areas of Sri Lanka. This ensured a high annual blood examination rate and screening of vulnerable people in receptive areas. These were important for certification of malaria-free status which Sri Lanka eventually received in 2016.

Conselho Nacional de Desenvolvimento Científico e Tecnológico (CNPq) ; Empresa Brasileira de Pesquisa Agropecuaria - Embrapa ; UK Government Darwin Initiative ; Nature Conservancy ; UK Natural Environment Research Council (NERC) ; H2020-MSCA-RISE-2015 ; CNPq: 574008/2008-0 ; Empresa Brasileira de Pesquisa Agropecuaria - Embrapa: SEG: 02.08.06.005.00 ; UK Government Darwin Initiative: 17-023 ; UK Natural Environment Research Council (NERC): NE/ F01614X/1 ; UK Natural Environment Research Council (NERC): NE/G000816/1 ; UK Natural Environment Research Council (NERC): NE/K016431/1 ; UK Natural Environment Research Council (NERC): NE/P004512/1 ; H2020-MSCA-RISE-2015: 691053-ODYSSEA ; CNPq: PELD-RAS 441659/2016-0 ; CNPq: 458022/2013-6 ; CNPq: 305054/ 2016-3 ; Wildfires produce substantial CO2 emissions in the humid tropics during El Nino-mediated extreme droughts, and these emissions are expected to increase in coming decades. Immediate carbon emissions from uncontrolled wildfires in human-modified tropical forests can be considerable owing to high necromass fuel loads. Yet, data on necromass combustion duringwildfires are severely lacking. Here, we evaluated necromass carbon stocks before and after the 2015-2016 El Nino in Amazonian forests distributed along a gradient of prior human disturbance. We then used Landsat-derived burn scars to extrapolate regional immediate wildfire CO2 emissions during the 20152016 El Nino. Before the El Nino, necromass stocks varied significantly with respect to prior disturbance and were largest in undisturbed primary forests (30.2 +/- 2.1 Mg ha(-1), mean +/- s. e.) and smallest in secondary forests (15.6 +/- 3.0 Mg ha(-1)). However, neither prior disturbance nor our proxy of fire intensity (median char height) explained necromass losses due towildfires. In our 6.5 million hectare (6.5 Mha) study region, almost 1 Mha of primary (disturbed and undisturbed) and 20 000 ha of secondary forest burned during the 2015-2016 ElNino. Covering less than 0.2% of Brazilian Amazonia, thesewildfires resulted in expected immediate CO2 emissions of approximately 30 Tg, three to four times greater than comparable estimates fromglobal fire emissions databases. Uncontrolled understoreywildfires in humid tropical forests during extreme droughts are a large and poorly quantified source of CO2 emissions. This article is part of a discussion meeting issue 'The impact of the 2015/2016 El Nino on the terrestrial tropical carbon cycle: patterns, mechanisms and implications'.

Intracranial volume (ICV) reflects maximal brain development and is associated with later-life cognitive abilities. We quantified ICV among first- and second-generation Hispanic and Latino adults from the Study of Latinos-Investigation of Cognitive Aging – MRI (SOL-INCA-MRI), estimated ICV heritability, and tested its associations with previously reported genetic variants, both individually and as a genetic risk score (GRS). We also estimated the association of ICV with early life environmental measures: nativity or age of immigration and parental education. The estimated heritability of ICV was 19% (95% CI, 0.1%-56%) in n=1781 unrelated SOL-INCA-MRI individuals. Four of 10 tested genetic variants were associated with ICV and an increase of 1 SD of the ICV-GRS was associated with an increase of 10.37 cm3 in the ICV (95% CI, 5.29-15.45). Compared to being born in the continental United States, immigrating to the United States at age 11 years or older was associated with 24 cm3 smaller ICV (95% CI, −39.97 to −8.06). Compared to both parents having less than high-school education, at least 1 parent completing high-school education was associated with 15.4 cm3 greater ICV (95% CI, 4.46-26.39). These data confirm the importance of early life health on brain development.

Half-title: Historia de las ordenes militares, bulas conseruatorias, y defensa de su jurisdicion. ; Engraved t.-p. ; Historia de las ordenes militares . libra I.-[III.]--Bvlas conservatorias de las tres ordenes.--Discvrso apologetico, en gracia y favor de las ordenes militares. Por don Fernando Pizarro y Orellana .--Vida del siervo de Dios Pedro Alfonso, prior del conuento de Vclès . compuesto en Latin por . don Martin de Ayala, arçobispo de Valencia.--Compendio de la vida de la . serenissima infanta doña Sancha Alfonso, sacado del memorial en derecho, que para su canonizacion hizo don Fernando Pizarro y Orellana. ; Mode of access: Internet.

BACKGROUND: Low concentrations of the anti-inflammatory protein CC16 (approved symbol SCGB1A1) in serum have been associated with accelerated decline in forced expiratory volume in 1 s (FEV1) in patients with chronic obstructive pulmonary disease (COPD). We investigated whether low circulating CC16 concentrations precede lung function deficits and incidence of COPD in the general population. METHODS: We assessed longitudinal data on CC16 concentrations in serum and associations with decline in FEV1 and incidence of airflow limitation for adults who were free from COPD at baseline in the population-based Tucson Epidemiological Study of Airway Obstructive Disease ([TESAOD] n=960, mean follow-up 14 years), European Community Respiratory Health Survey ([ECRHS-Sp] n=514, 11 years), and Swiss Cohort Study on Air Pollution and Lung Diseases in Adults ([SAPALDIA] n=167, 8 years) studies. Additionally, we measured circulating CC16 concentrations in samples from children aged 4-6 years in the Tucson Children's Respiratory Study (n=427), UK Manchester Asthma and Allergy Study (n=481), and the Swedish Barn/children, Allergy, Milieu, Stockholm, Epidemiological survey (n=231) birth cohorts to assess whether low CC16 concentrations in childhood were predictive for subsequent lung function. FINDINGS: After adjustment for sex, age, height, smoking status and intensity, pack-years, asthma, and FEV1 at baseline, we found an inverse association between CC16 concentration and decline in FEV1 in adults in TESAOD (4·4 mL/year additional FEV1 decline for each SD decrease in baseline CC16 concentration, p=0·0014) and ECRHS-Sp (2·4 mL/year, p=0·023); the effect in SAPALDIA was marginal (4·5 mL/year, p=0·052). Low CC16 concentration at baseline was also associated with increased risk of incident stage 2 airflow limitation (ratio of FEV1 to forced expiratory volume [FEV1/FVC] less than 70% plus FEV1 % predicted less than 80%) in TESAOD and ECRHS-Sp. In children, the lowest tertile of CC16 concentrations was associated with a subsequent FEV1 deficit of 68 mL up to age 16 years (p=0·0001), which was confirmed in children who had never smoked by age 16 years (-71 mL, p<0·0001). INTERPRETATION: Low concentrations of CC16 in serum are associated with reduced lung function in childhood, accelerated lung function decline in adulthood, and development of moderate airflow limitation in the general adult population. FUNDING: National Heart, Lung, and Blood Institute and European Union Seventh Framework Programme. ; This study was supported by awards HL107188, HL095021, and HL056177 from the National Heart, Lung, and Blood Institute, US National Institutes of Health; FIS award PS09/01354 from the Spanish Instituto de Salud Carlos III; a post-doctoral fellowship to IL by the Environment and Health Fund, Israel; grant 33CSCO-134276 from the Swiss National Science Foundation; grant awards by the Swedish Research Council, the Swedish Heart-Lung Foundation, and the Stockholm County Council (ALF); grants G0601361 and MR/K002449/1 by the Medical Research Council, UK; a grant award by the JP Moulton Charitable Foundation; and grant agreement number 261357 (Mechanisms of the Development of ALLergy – MeDALL) by the EU Seventh Framework Programme

The commitment by over 100 governments covering over 90% of the world's forests at the COP26 in Glasgow to end deforestation by 2030 requires more effective forest monitoring systems. The near real-time (NRT) change detection of forest cover loss enables forest landowners, government agencies and local communities to monitor natural and anthropogenic disturbances in a much timelier fashion than the thematic maps that are released every year. NRT deforestation alerts enable the establishment of more up-to-date forest inventories and rapid responses to unlicensed logging. The Copernicus Sentinel-2 satellites provide operational Earth observation (EO) data from multi-spectral optical/near-infrared wavelengths every five days at a global scale and at 10 m resolution. The amount of acquired data requires cloud computing or high-performance computing for ongoing monitoring systems and an automated system for processing, analyzing and delivering the information promptly. Here, we present a Sentinel-2-based NRT change detection system, assess its performance over two study sites, Manantlán in Mexico and Cartagena del Chairá in Colombia, and evaluate the forest changes that occurred in 2018. An independent validation with very high-resolution PlanetScope (~3 m) and RapidEye (~5 m) data suggests that the proposed NRT change detection system can accurately detect forest cover loss (> 87%), other vegetation loss (> 76%) and other vegetation gain (> 71%). Furthermore, the proposed NRT change detection system is designed to be attuned using in situ data. Therefore, it is scalable to larger regions, entire countries and even continents.

The role of soil biodiversity in regulating multiple ecosystem functions is poorly understood, limiting our ability to predict how soil biodiversity loss might affect human wellbeing and ecosystem sustainability. Here, combining a global observational study with an experimental microcosm study, we provide evidence that soil biodiversity (bacteria, fungi, protists and invertebrates) is significantly and positively associated with multiple ecosystem functions. These functions include nutrient cycling, decomposition, plant production, and reduced potential for pathogenicity and belowground biological warfare. Our findings also reveal the context dependency of such relationships and the importance of the connectedness, biodiversity and nature of the globally distributed dominant phylotypes within the soil network in maintaining multiple functions. Moreover, our results suggest that the positive association between plant diversity and multifunctionality across biomes is indirectly driven by soil biodiversity. Together, our results provide insights into the importance of soil biodiversity for maintaining soil functionality locally and across biomes, as well as providing strong support for the inclusion of soil biodiversity in conservation and management programmes. Combining field data from 83 sites on five continents, together with microcosm experiments, the authors show that nutrient cycling, decomposition, plant production and other ecosystem functions are positively associated with a higher diversity of a wide range of soil organisms. ; Marie Sklodowska-Curie ; We thank N. Fierer, M. Gebert, J. Henley, V. Ochoa, F. T. Maestre and B. Gozalo for their help with laboratory analyses; O. Sala, C. Siebe, C. Currier, M. A. Bowker, V. Parry, H. Lambers, P. Vitousek, V. M. Pena-Ramirez, L. Riedel, J. Larson, K. Waechter, W. Williams, S. Williams, B. Sulman, D. Buckner and B. Anacker for their help with soil sampling in Colorado, Hawaii, Iceland, New Mexico, Arizona, Mexico and Australia; the City of Boulder Open Space and Mountain Parks for allowing us to conduct these samplings; C. Cano-Diaz for her advice about R analyses; S. K. Travers for her help with mapping. This project has received funding from the European Union's Horizon 2020 research and innovation programme under the Marie Sklodowska-Curie grant agreement no. 702057. M.D.-B. is supported by the Spanish Government under a Ramon y Cajal contract RYC2018-025483-I. This research is supported by the Australian Research Council projects (DP170104634; DP190103714). S.A. and F.D.A. are funded by FONDECYT 1170995, IAI-CRN 3005, PFB-23 (from CONICYT) and P05-002 (from Millennium Scientific Initiative). N.A.C. acknowledges support from Churchill College, University of Cambridge; and M.A.W. from the Wilderness State Park, Michigan for access to sample soil and conduct ecosystem survey. B.K.S. acknowledges a research award from the Humboldt Foundation. J.-Z.H. acknowledges support from the Australia Research Council (project DP170103628); and A.G. from the Spanish Ministry (project CGL2017-88124-R). F.B. thanks the Spanish Ministry and FEDER funds for the CICYT project AGL2017-85755-R, the CSIC project 201740I008 and funds from 'Fundacion Seneca' from Murcia Province (19896/GERM/15). P.T. thanks K. Little for her help with laboratory analyses. S.C.R. was supported by the US Geological Survey Ecosystems Mission Area. Any use of trade, firm or product names is for descriptive purposes only and does not imply endorsement by the US Government. S.N. was funded by the Austrian Science Fund (grant Y801-B16). ; Public domain authored by a U.S. government employee

Identifying the global drivers of soil priming is essential to understanding C cycling in terrestrial ecosystems. We conducted a survey of soils across 86 globally-distributed locations, spanning a wide range of climates, biotic communities, and soil conditions, and evaluated the apparent soil priming effect using C-13-glucose labeling. Here we show that the magnitude of the positive apparent priming effect (increase in CO2 release through accelerated microbial biomass turnover) was negatively associated with SOC content and microbial respiration rates. Our statistical modeling suggests that apparent priming effects tend to be negative in more mesic sites associated with higher SOC contents. In contrast, a single-input of labile C causes positive apparent priming effects in more arid locations with low SOC contents. Our results provide solid evidence that SOC content plays a critical role in regulating apparent priming effects, with important implications for the improvement of C cycling models under global change scenarios. ; European UnionEuropean Union (EU) [702057]; FEDER fundsEuropean Union (EU) [AGL2017-85755-R]; CSICConsejo Superior de Investigaciones Cientificas (CSIC) [201740I008]; I-LINK + 2018 [LINKA20069]; "Fundacion Seneca" from Murcia Province [19896/GERM/15]; Marie Sklodowska-Curie Actions of the Horizon 2020 Framework Programme H2020-MSCA-IF-2016 under REA grant [702057]; FONDECYTComision Nacional de Investigacion Cientifica y Tecnologica (CONICYT)CONICYT FONDECYT [1170995]; IAI-CRN [3005]; CONICYTComision Nacional de Investigacion Cientifica y Tecnologica (CONICYT) [PFB-23]; Millennium Scientific Initiative [P05-002]; Churchill College (University of Cambridge); Department of Energy Terrestrial Ecosystem Sciences Program [DESC-0008168]; USGS Ecosystems Mission Area; EPA-STAR Graduate FellowshipUnited States Environmental Protection Agency [U-916251]; Merriam-Powell Center for Environmental Research Graduate Fellowship; Achievement Rewards for College Scientists (ARCS) Foundation of Arizona Scholarship; McIntire-Stennis appropriations ; This project has received funding from the European Union's Horizon 2020 research and innovation programme under the Marie Sklodowska-Curie grant agreement No 702057. F.B., J.L., A.V., C.G., T.H. thank the Spanish Ministry and FEDER funds for the CICYT project AGL2017-85755-R, the CSIC projects 201740I008 and I-LINK + 2018 (LINKA20069), and funds from "Fundacion Seneca" from Murcia Province (19896/GERM/15). M.D-B. acknowledges support from the Marie Sklodowska-Curie Actions of the Horizon 2020 Framework Programme H2020-MSCA-IF-2016 under REA grant agreement no 702057. S.A and F.D.A were supported by FONDECYT 1170995. C.A.P is grateful to IAI-CRN 3005. C.A.P and F.D.A were supported by PFB-23 (from CONICYT) and P05-002 (from Millennium Scientific Initiative) to the Institute of Ecology and Biodiversity, Chile. N.A.C is grateful to Churchill College (University of Cambridge) for financial support and to Dr. Vicki Parry for fieldwork assistance. S.R acknowledges support from the Department of Energy Terrestrial Ecosystem Sciences Program (DESC-0008168) and the USGS Ecosystems Mission Area. A.A.B. and F.S. acknowledge support from Jennifer Harden and Sebastian Doetterl for prior works and information about sites along the Merced Chronosequence and from Benjamin Sulman for help during sampling. The Arizona research sites were established with the support of an EPA-STAR Graduate Fellowship (U-916251), a Merriam-Powell Center for Environmental Research Graduate Fellowship, an Achievement Rewards for College Scientists (ARCS) Foundation of Arizona Scholarship, and McIntire-Stennis appropriations to Northern Arizona University and the State of Arizona. Any use of trade, firm, or product names is for descriptive purposes only and does not imply endorsement by the U.S. Government.

The importance of soil age as an ecosystem driver across biomes remains largely unresolved. By combining a cross-biome global field survey, including data for 32 soil, plant, and microbial properties in 16 soil chronosequences, with a global meta-analysis, we show that soil age is a significant ecosystem driver, but only accounts for a relatively small proportion of the cross-biome variation in multiple ecosystem properties. Parent material, climate, vegetation and topography predict, collectively, 24 times more variation in ecosystem properties than soil age alone. Soil age is an important local-scale ecosystem driver; however, environmental context, rather than soil age, determines the rates and trajectories of ecosystem development in structure and function across biomes. Our work provides insights into the natural history of terrestrial ecosystems. We propose that, regardless of soil age, changes in the environmental context, such as those associated with global climatic and land-use changes, will have important long-term impacts on the structure and function of terrestrial ecosystems across biomes. ; This project received funding from the European Union's Horizon 2020 research and innovation program under the Marie Sklodowska-Curie Grant Agreement No. 702057 (CLIMIFUN). M.D.-B. is supported by a Ramón y Cajal grant from the Spanish Ministry of Science and Innovation (RYC2018-025483-I), and by the BES Grant Agreement No. LRB17\1019 (MUSGONET). F.B. is grateful to the Spanish Ministry and FEDER funds for the project AGL2017–85755-R, the i-LINK+2018 (LINKA20069) from CSIC, and received funds from "Fundación Séneca" from Murcia Province (19896/GERM/15). S.R. was supported by the US Geological Survey Ecosystems Mission Area. C.P. acknowledges support from the Spanish State Plan for Scientific and Technical Research and Innovation (2013–2016), award ref. AGL201675762-R (AEI/FEDER, UE). A.G. acknowledges support from the Spanish Ministry of Science (CGL2017-88124-R). F.A. is supported by FONDECYT 11180538 and S.A. by FONDECYT 1170995. We would like to thank Peter Vitousek for his comments on a previous draft of this paper. Moreover, we thank Matt Gebert, Jessica Henley, Fernando T. Maestre, Victoria Ochoa, and Beatriz Gozalo for their help with lab analyses, and Emilio Guirado for his advice with topographic analyses. We also want to thank Osvaldo Sala, Matthew A. Bowker, Peter Vitousek, Courtney Currier, Martin Kirchmair, Victor M. Peña-Ramírez, Lynn Riedel, Julie Larson, Katy Waechter, David Buckner, and Brian Anacker for their help with soil sampling, and to the City of Boulder Open Space and Mountain Parks for allowing us to conduct these samplings. We are also grateful to the Division of Forestry and Wildlife of the State of Hawai'i and Koke'e State Park for their logistical assistance and for allowing us access to the HA sites. The Arizona research sites were established with the support of an EPA‐STAR Graduate Fellowship (U‐916251), a Merriam‐Powell Center for Environmental Research Graduate Fellowship, an Achievement Rewards for College Scientists (ARCS) Foundation of Arizona Scholarship, and McIntire‐Stennis appropriations to Northern Arizona University and the State of Arizona. Any use of trade, product, or firm names is for descriptive purposes only and does not imply endorsement by the U.S. Government.

The importance of soil age as an ecosystem driver across biomes remains largely unresolved. By combining a cross-biome global field survey, including data for 32 soil, plant, and microbial properties in 16 soil chronosequences, with a global meta-analysis, we show that soil age is a significant ecosystem driver, but only accounts for a relatively small proportion of the cross-biome variation in multiple ecosystem properties. Parent material, climate, vegetation and topography predict, collectively, 24 times more variation in ecosystem properties than soil age alone. Soil age is an important local-scale ecosystem driver; however, environmental context, rather than soil age, determines the rates and trajectories of ecosystem development in structure and function across biomes. Our work provides insights into the natural history of terrestrial ecosystems. We propose that, regardless of soil age, changes in the environmental context, such as those associated with global climatic and land-use changes, will have important long-term impacts on the structure and function of terrestrial ecosystems across biomes. ; This project received funding from the European Union's Horizon 2020 research and innovation program under the Marie Sklodowska-Curie Grant Agreement No. 702057 (CLIMIFUN). M.D.-B. is supported by a Ramón y Cajal grant from the Spanish Ministry of Science and Innovation (RYC2018-025483-I), and by the BES Grant Agreement No. LRB17\1019 (MUSGONET). F.B. is grateful to the Spanish Ministry and FEDER funds for the project AGL2017–85755-R, the i-LINK+2018 (LINKA20069) from CSIC, and received funds from "Fundación Séneca" from Murcia Province (19896/GERM/15). S.R. was supported by the US Geological Survey Ecosystems Mission Area. C.P. acknowledges support from the Spanish State Plan for Scientific and Technical Research and Innovation (2013–2016), award ref. AGL201675762-R (AEI/FEDER, UE). A.G. acknowledges support from the Spanish Ministry of Science (CGL2017-88124-R). F.A. is supported by FONDECYT 11180538 and S.A. by FONDECYT 1170995. We would like to thank Peter Vitousek for his comments on a previous draft of this paper. Moreover, we thank Matt Gebert, Jessica Henley, Fernando T. Maestre, Victoria Ochoa, and Beatriz Gozalo for their help with lab analyses, and Emilio Guirado for his advice with topographic analyses. We also want to thank Osvaldo Sala, Matthew A. Bowker, Peter Vitousek, Courtney Currier, Martin Kirchmair, Victor M. Peña-Ramírez, Lynn Riedel, Julie Larson, Katy Waechter, David Buckner, and Brian Anacker for their help with soil sampling, and to the City of Boulder Open Space and Mountain Parks for allowing us to conduct these samplings. We are also grateful to the Division of Forestry and Wildlife of the State of Hawai'i and Koke'e State Park for their logistical assistance and for allowing us access to the HA sites. The Arizona research sites were established with the support of an EPA‐STAR Graduate Fellowship (U‐916251), a Merriam‐Powell Center for Environmental Research Graduate Fellowship, an Achievement Rewards for College Scientists (ARCS) Foundation of Arizona Scholarship, and McIntire‐Stennis appropriations to Northern Arizona University and the State of Arizona. Any use of trade, product, or firm names is for descriptive purposes only and does not imply endorsement by the U.S. Government.