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It is well known in economics, law, and sociology that reputation costs in a closed network give insiders a feeling of being protected from bad behavior in their relations with one another. A person accustomed to doing business within a closed network is, therefore, likely to feel at unusual risk when asked to cooperate beyond the network because of absent reputation-cost security. It follows that

Background: Stroke is one of the major chronic non-communicable diseases (NCDs) with high morbidity, disability and mortality. The key to preventing stroke lies in controlling risk factors. However, screening risk factors and quantifying stroke risk levels remain challenging. Methods: A novel prediction model for stroke risk based on two-level feature selection and deep fusion network (SRPNet) is

We quantify the risks of climate-induced changes in key ecosystem processes during the 21st century by forcing a dynamic global vegetation model with multiple scenarios from 16 climate models and mapping the proportions of model runs showing forest/nonforest shifts or exceedance of natural variability in wildfire frequency and freshwater supply. Our analysis does not assign probabilities to scenar

The Ukrainian Shield and Voronezh Crystalline Massif constitute the Sarmatian segment of Baltica. Here, only a few mafic-ultramafic dykes and layered intrusions have been dated, recording early Statherian (ca. 1800–1750 Ma) ages. We have determined new U-Pb baddeleyite ages for the Novogol sill (1789 ± 2 Ma) and the Gremyachye intrusion (1781 ± 7 Ma), which fall within the previously established a

Dockless bike-sharing systems (DLBS) have gained much popularity due to their environmentally friendly features. This study puts forward a distinctive framework for assessing the environmental influences of DLBS in high resolution based on DLBS transaction data. The proposed framework firstly estimates the transport mode substituted by DLBS for each recorded bike-sharing trip by utilizing the rout

We integrated Enviro-HIRLAM (Environment-High Resolution Limited Area Model) meteorological output into FLEXPART (FLEXible PARTicle dispersion model). A FLEXPART simulation requires meteorological input from a numerical weather prediction (NWP) model. The publicly available version of FLEXPART can utilize either ECMWF (European Centre for Medium-range Weather Forecasts) Integrated Forecast System

Forest wood borers (FWB) cause severe tree damage and economic losses worldwide. The release of entomopathogenic fungi (EPF) during the FWB emergence period is considered an acceptable alternative to chemical control. However, EPF resources have been significantly less explored for FWBs, in contrast to agricultural insect pests. This paper presents a protocol for exploring EPF resources from FWBs

Purpose: This paper aims to explore how the ownership transfer from a highly industrialised country to less industrialised countries influences consumers’ brand perceptions. Design/methodology/approach: Three acquisition cases of premium car brands (Jaguar, Land Rover and Volvo) are investigated using qualitative data from online brand communities. Findings: When country of ownership (COOW) for br

Increasing global production fragmentation allows for outsourcing of emissions, which may undermine national climate policies. Researchers focusing on the gap between consumption-based and production-based emissions have concluded that developed countries are systematically outsourcing emissions to developing countries. However, asymmetries in emissions embodied in trade may emerge due to differen

Climate warming has substantially advanced the timing of spring leaf-out of woody species at middle and high latitudes, albeit with large differences. Insights in the spatial variation of this climate warming response may therefore help to constrain future trends in leaf-out and its impact on energy, water and carbon balances at global scales. In this study, we used in situ phenology observations

Climate change poses a threat to cities. Geospatial information and communication technology (Geo-ICT) assisted planning is increasingly being utilised to foster urban sustainability and adaptability to climate change. To fill the theoretical and practical gaps of urban adaptive planning and Geo-ICT implementation, this article presents an urban ecosystem vulnerability assessment approach using in

Soil organic matter (SOM) is crucial for carbon sequestration and sustainable agriculture, yet traditional quantification methods are challenging to apply at large scales. Hyperspectral technology combined with machine-learning offers promising prospects for rapid quantification. This study explores the impact of using VNIR-SWIR spectra on SOM quantification in regions characterized by distinctive

Soil cadmium (Cd) contamination significantly threatens ecosystems and human health. Traditional geochemical investigation, although accurate, is impractical for wide-area and frequent monitoring applications. Multi-spectral satellite images combined with the homologous pollution information (HPI) and the spectral and content information of soil organic matter (SOMSCI) is an unconventional and pro

Global warming has accelerated permafrost degradation, destabilizing soil organic carbon (SOC) in wetlands. Soil microorganisms play a crucial role in SOC decomposition. Despite increasing studies on soil microorganisms and their associated impacts on SOC decomposition in wetlands, few studies have simultaneously investigated the impacts of soil physical properties and nutrient stoichiometry on so