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Nature underpins human well-being in critical ways, especially in health. Nature provides pollination of nutritious crops, purification of drinking water, protection from floods, and climate security, among other well-studied health benefits. A crucial, yet challenging, research frontier is clarifying how nature promotes physical activity for its many mental and physical health benefits, particularly in densely populated cities with scarce and dwindling access to nature. Here we frame this frontier by conceptually developing a spatial decision-support tool that shows where, how, and for whom urban nature promotes physical activity, to inform urban greening efforts and broader health assessments. We synthesize what is known, present a model framework, and detail the model steps and data needs that can yield generalizable spatial models and an effective tool for assessing the urban nature-physical activity relationship. Current knowledge supports an initial model that can distinguish broad trends and enrich urban planning, spatial policy, and public health decisions. New, iterative research and application will reveal the importance of different types of urban nature, the different subpopulations who will benefit from it, and nature's potential contribution to creating more equitable, green, livable cities with active inhabitants.
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Planejamento de Cidades , Ecossistema , Exercício Físico , Modelos Teóricos , Saúde Pública , HumanosRESUMO
INTRODUCTION: Megalencephaly-polymicrogyria-polydactyly-hydrocephalus (MPPH) syndrome is a rare autosomal dominant disorder characterized by megalencephaly (i.e., overgrowth of the brain), polymicrogyria, focal hypoplasia of the cerebral cortex, and polydactyly. Persistent hyperplastic primary vitreous (PHPV) involves a spectrum of congenital ocular abnormalities that are characterized by the presence of a vascular membrane behind the lens. CASE PRESENTATION: Here, we present a case of foetal MPPH with PHPV that was diagnosed using prenatal ultrasound. Ultrasound revealed the presence of megalencephaly, multiple cerebellar gyri, and hydrocephalus. Whole-exome sequencing confirmed the mutation of the AKT3 gene, which led to the consideration of MPPH syndrome. Moreover, an echogenic band with an irregular surface was observed between the lens and the posterior wall of the left eye; therefore, MPPH with PHPV was suspected. CONCLUSION: MPPH syndrome with PHPV can be diagnosed prenatally.
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Hidrocefalia , Malformações do Desenvolvimento Cortical , Megalencefalia , Vítreo Primário Hiperplásico Persistente , Polidactilia , Polimicrogiria , Gravidez , Feminino , Humanos , Polimicrogiria/diagnóstico por imagem , Polimicrogiria/genética , Vítreo Primário Hiperplásico Persistente/diagnóstico por imagem , Imageamento por Ressonância Magnética , Malformações do Desenvolvimento Cortical/diagnóstico , Malformações do Desenvolvimento Cortical/genética , Hidrocefalia/diagnóstico por imagem , Megalencefalia/genética , Polidactilia/diagnóstico por imagem , Polidactilia/genética , Síndrome , Ultrassonografia Pré-NatalRESUMO
The effects of volatile organic compounds on urban air quality and the ozone have been widely acknowledged, and the contributions of relevant biogenic sources are currently receiving rising attentions. However, inventories of biogenic volatile organic compounds (BVOCs) are in fact limited for the environmental management of megacities. In this study, we provided an estimation of BVOC emissions and their spatial characteristics in a typical urbanized area, Shenzhen megacity, China, based on an in-depth vegetation investigation and using remote sensing data. The total BVOC emission in Shenzhen in 2019 was estimated to be 3.84 × 109 g C, of which isoprene contributed to about 24.4%, monoterpenes about 44.4%, sesquiterpenes about 1.9%, and other VOCs (OVOCs) about 29.3%. Metropolitan BVOC emissions exhibited a seasonal pattern with a peak in July and a decline in January. They were mainly derived from the less built-up areas (88.9% of BVOC emissions). Estimated BVOCs comprised around 5.2% of the total municipal VOC emissions in 2019. This percentage may increase as more green spaces emerge and anthropogenic emissions decrease in built-up areas. Furthermore, synergistic effects existed between BVOC emissions and relevant vegetation-based ecosystem services (e.g., air purification, carbon fixation). Greening during urban sprawl should be based on a trade-off between BVOC emissions and ecosystem benefits of urban green spaces. The results suggested that urban greening in Shenzhen, and like other cities as well, need to account for BVOC contributions to ozone. Meanwhile, greening cites should adopt proactive environmental management by using plant species with low BVOC emissions to maintain urban ecosystem services while avoid further degradation to ozone pollution.
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Poluentes Atmosféricos , Ozônio , Compostos Orgânicos Voláteis , Compostos Orgânicos Voláteis/análise , Poluentes Atmosféricos/análise , Árvores/metabolismo , Ecossistema , Monitoramento Ambiental , ChinaRESUMO
Exposure to green environments is crucial for human health. However, urbanization has reduced the contact of urban residents with natural environments, causing a mismatch between the supply and demand for green exposure. Research in this field is hindered by the lack of long-term, reliable data sources and methodologies, leading to insufficient consideration of temporal variations in green exposure. This study presented a comprehensive methodology for assessing green exposure at a fine scale utilizing satellite images for urban tree canopy identification. We conducted a case study in the core area of Beijing from 2010 to 2020 and examined the effects of urban renewal and alleviation efforts. The results revealed a slight decrease in green exposure for the elderly over the decade, with minimal changes in equity. In contrast, green exposure for children has increased, with increasing inequality. Moreover, urban renewal has improved green exposure for nearly half of the low-supply blocks. However, a significant mismatch was observed between supply and demand for blocks with increased demand but limited supply. This study enhances the assessment of green exposure and provides guidance for planning and constructing a "Green Equal City".
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Cidades , Urbanização , Humanos , PequimRESUMO
Coastal zones are increasingly threatened by stressors from both climate change and human activities. Vulnerability assessment is central to the implementation of interventions for adapting climate change. However, synthetic vulnerability based on an integrative analysis of ecosystem service and socioeconomic characteristics in urban coastal zones with tightly coupled human-nature interactions is not fully understood. Based on the Coastal Vulnerability model of the InVEST (Integrated Valuation of Environmental Services and Tradeoffs) tool, a holistic framework for assessing coastal vulnerability to multiple hazards (sea level rise, waves and storm surge) was developed by integrating ecological, physical and socioeconomic factors into a single spatial representation and applied to the coast of Shenzhen, China. Based on the levels of biophysical exposure, sensitivity and adaptive capacity of coastal communities, a three-dimensional decision matrix was proposed for planning location-specific interventions. Results show that approximately 15% of the coastline were categorized as having high vulnerability. Spatial vulnerability heterogeneity was found within and across the coastal districts, with Yantian grouped into the most vulnerable district. The biophysical exposure has greater influences on the overall vulnerability than either sensitivity or adaptive capacity. This study highlights the significance of complex interactions between natural ecosystems and socioeconomic conditions in driving vulnerability and suggests that combined natural-based defenses and socioeconomic factors contribute to lower vulnerability. The results can help decision-makers prioritize coastal zones for interventions and identifying adaptive strategies that target drivers of vulnerability.
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Mudança Climática , Ecossistema , Aclimatação , China , Conservação dos Recursos Naturais , Ecologia , HumanosRESUMO
The interactions between human and natural systems and their effects have unforeseen results, particularly in the management of water resources. Using water stress mitigation as an example, a water resources management effect index (WRMEI) was created to quantitatively evaluate the trends of water management effects. This revealed that the WRMEI was decreasing due to the impact of the water resources management process. The findings demonstrate that water resources management has unintended effects: there was a gap between the expectation of water stress to be mitigated and the actual results of water stress increasing. That is caused by human activities in water utilization: (1) increasing available water resources from water transfer was not utilized sparingly in the receiving cities-increased water transfers from external sources increase domestic water consumption per capita; (2) improving water efficiency has a positive effect on mitigating water stress, but the population growth decreased the efficiency. It was concluded that much greater attention needs to be paid to water conservation in residential and living use to counter these unintended water management effects.
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Ecosystem-based cooling helps residents cope with the urban heat-island problem. In order to improve the accuracy of traditional heat-island measurements based on comparisons between urban and rural areas, we use an "on-site" method developed with only urban data. The essence of this method is a regression analysis of the relationships among different types of green space and blue space, elevation, vegetation dynamics, and temperature. We then simulate the temperature pattern in a scenario where there is no built-up area (Scenario A), and then in another scenario where there are no ecological spaces (Scenario B). The gap between the actual temperature pattern and the simulated temperature pattern of Scenario A is considered the heat-island effect. Conversely, the gap between the actual temperature pattern and that of Scenario B is considered as the effect of ecosystem-based urban cooling. This method was tested using data from two megacities in China (each had a population of over 10 million people). For Beijing, the average heat-island effect was 4.87 °C and effect of the ecosystem cooling service was 9.07 °C. For Shenzhen, the respective values were 0.8 °C and 2.71 °C. The "on-site" (local small size sampling), "dynamic coefficient", and "no-positive-coefficient rule" are the three defining characteristics of this method. The application of this method to model ecosystem-based urban cooling can aid urban planning and management in improving the residential thermal environment.
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Climate change and human activities exert a wide range of stressors on urban coastal areas. Synthetical assessment of coastal vulnerability is crucial for effective interventions and long-term planning. However, there have been few studies based on integrative analyses of ecological and physical characteristics and socioeconomic conditions in urban coastal areas. This study developed a holistic framework for assessing coastal vulnerability from three dimensions - biophysical exposure, sensitivity and adaptive capacity - and applied it to the coast of Bohai Economic Rim, an extensive and important development zone in China. A composite vulnerability index (CVI) was developed for every 1 km2 segment of the total 5627 km coastline and the areas that most prone to coastal hazards were identified by mapping the distribution patterns of the CVIs in the present and under future climate change scenarios. The CVIs show a spatial heterogeneity, with higher values concentrated along the southwestern and northeastern coasts and lower values concentrated along the southern coasts. Currently, 20% of the coastlines with approximately 350,000 people are highly vulnerable to coastal hazards. With sea-level rises under the future scenarios of the year 2100, more coastlines will be highly vulnerable, and the amount of highly-threatened population was estimated to increase by 13-24%. Among the coastal cities, Dongying was categorized as having the highest vulnerability, mainly due to poor transportation and medical services and low GDP per capita, which contribute to low adaptive capacity. Our results can benefit decision-makers by highlighting prioritized areas and identifying the most important determinants of priority, facilitating location-specific interventions for climate-change adaptation and sustainable coastal management.
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Aclimatação , Mudança Climática , China , Cidades , HumanosRESUMO
OBJECTIVE: Variable Number of Tandem Repeats (VNTRs) analysis was a recently developed method which could serve as a 'real-time' genotyping tool for Mycobacterium tuberculosis. One hundred and thirteen M. tuberculosis isolates from the patients with tuberculosis in Beijing were analysed using the reference method to study the characters of genetic diversity and genotype. METHODS: Thirteen tandem repeat loci (ETR-A, ETR-C, ETR-D, MIRU10, MIRU16, MIRU27, MIRU31, MIRU40, Mtub21, Mtub30, Mtub38, Qublla, Qubllb) in the total genome of MTB were analyzed by PCR and agarose gel electrophoresis method. The characters of the polymorphism of DNA fingerprinting of one hundred and thirteen MTB strains were analyzed with Gel-Pro analyzer 3.1 software and BioNumerics 3.0 software. Results One hundred and thirteen MTB strains were characterized and classified in to four genotype families(type I , type II , type NV, type V ) based on thirteen tandem repeat loci. One hundred and four isolates(92.0%) belonged to type I , the other three genotypes scattered, five strains(4.4%) remaining with type II , while type IV and type V having the same quantity 1.8% (2/113). M. tuberculosis H37Rv belonged to a unattached genotype(type ll ). Conclusion There was obvious length polymorphism in the M. tuberculosis isolates which implied that type I was the epidemic strain clusters in M. tuberculosis in Beijing. VNTRs analysis seemed to be a simple, rapid, sensitive and valuable tool for epidemiological studies of M. tuberculosis complex organisms.