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Responses of soil extracellular enzyme activities and microbial community properties to interaction between nitrogen addition and increased precipitation in a semi-arid grassland ecosystem

Both atmospheric nitrogen (N) deposition and precipitation can strongly impact below-ground biogeochemical processes. Soil extracellular enzymes activities (EEAs) and microorganisms are considered as the key agents in ecosystem nutrient cycling. However, how the interaction between increasing N deposition and precipitation may affect soil EEAs and microbes remain poorly understood. In a 5-year fie

Early Cambrian oxygen minimum zone-like conditions at Chengjiang

The early Cambrian succession at Chengjiang contains the most diverse Cambrian fossil assemblage yet described, and contributes significantly to our understanding of the diversification of metazoans in the Cambrian “explosion”. The Cambrian Period occupies a transitional episode of global ocean chemistry, following the oxygenation of the surface ocean and of shallow marine environments during the

Strategic narratives and US military bases in Japan: How ‘deterrence’ makes the Marine base on Okinawa ‘indispensable’

Governed directly by the US from the Battle of Okinawa in 1945 until its reversion to Japan in 1972, the island of Okinawa hosts the majority of US military bases in Japan despite comprising only a fraction of a percent of the total land area. The central government in Tokyo has refused to countenance revision of the status quo in the face of increasing local opposition, including mass protests an

A 60 000 year Greenland stratigraphic ice core chronology

The Greenland Ice Core Chronology 2005 (GICC05) is a time scale based on annual layer counting of high-resolution records from Greenland ice cores. Whereas the Holocene part of the time scale is based on various records from the DYE-3, the GRIP, and the NorthGRIP ice cores, the glacial part is solely based on NorthGRIP records. Here we present an 18 ka extension of the time scale such that GICC05

The urban renewal and renovation plan for Beijing Coking Plant

With the rapid advancement of urban renewal and the shift toward sustainable development, the integration of Transit-Oriented Development (TOD) and industrial heritage preservation has become a key strategy in revitalizing post-industrial cities. Rather than viewing industrial heritage sites as obsolete, new approaches now emphasize their adaptive reuse within the framework of transit-accessible,

Does the Gender-Equality-Personality-Paradox Depend on the Scoring Method? The Implications of Measurement Invariance

With increasing country-level gender equality, country-level gender differences in personality are found to increase. This is known as the Gender-Equality-Personality-Paradox (GEPP). Possibly, the GEPP is a methodological artefact. So far, the personality trait scoring method has not been investigated as a potential source of the GEPP. Three kinds of scores were investigated in the present study:

A global assessment of the species composition and effectiveness of watermelon pollinators and the management strategies to inform effective pollination service delivery

For most food crops the identity and efficiency of pollinators across key growing regions remains a significant knowledge gap that needs to be addressed before we can develop crop-specific approaches for pollination service delivery. Here, we conducted a systematic literature review and meta-analysis on watermelon (Citrullus lanatus (Thunb. Matsum. & Nakai)), a globally important fruit crop, t

A global survey of emergency department responses to the COVID-19 pandemic

Introduction: Emergency departments (ED) globally are addressing the coronavirus disease 2019 (COVID-19) pandemic with varying degrees of success. We leveraged the 17-country, Emergency Medicine Education & Research by Global Experts (EMERGE) network and non-EMERGE ED contacts to understand ED emergency preparedness and practices globally when combating the COVID-19 pandemic. Methods: We elect

Informing the SWAT model with remote sensing detected vegetation phenology for improved modeling of ecohydrological processes

The Soil and Water Assessment Tool (SWAT) model has been widely applied for simulating the water cycle and quantifying the influence of climate change and anthropogenic activities on hydrological processes. A major uncertainty of SWAT stems from the poor representation of vegetation dynamics due to the use of a simplistic vegetation growth and development module. Using long-term remote sensing-bas

Turning the tanker? Exploring the preconditions for change in the global petrochemical industry

Meeting the goals set out in the Paris Agreement will require rapid and deep reductions of greenhouse gas emissions (GHG) across all sectors of the global economy. Like all major societal transformations, this climate transition will impact both social and technical aspects of society and, depending on how it evolves, will reallocate social and economic benefits and costs differently. Recognising

Reclaiming the Right to the City : De-commodification of Shopping Malls in Insurgent Hong Kong

According to Lefebvre, modern capitalism has led to the commodification of urban life. Even though commodification has taken multiple distinct forms across the urban fabric, it could be argued that no urban feature is more representative of the proliferation of exchange values than shopping malls. Despite being privately owned and managed, commercialised and highly securitised, shopping malls have

Multiethnic genome-wide association study of differentiated thyroid cancer in the EPITHYR consortium

Incidence of differentiated thyroid carcinoma (DTC) varies considerably between ethnic groups, with particularly high incidence rates in Pacific Islanders. DTC is one of the cancers with the highest familial risk suggesting a major role of genetic risk factors, but only few susceptibility loci were identified so far. In order to assess the contribution of known DTC susceptibility loci and to ident

Applications of artificial intelligence, machine learning, big data and the internet of things to the COVID-19 pandemic : A scientometric review using text mining

The COVID-19 pandemic has wreaked havoc in every country in the world, with serious health-related, economic, and social consequences. Since its outbreak in March 2020, many researchers from different fields have joined forces to provide a wide range of solutions, and the support for this work from artificial intelligence (AI) and other emerging concepts linked to intelligent data analysis has bee